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Author

*The author of this computation has been verified*

R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Fri, 10 Dec 2010 13:19:53 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/10/t1291987062yw7xwkjfwn58ey9.htm/, Retrieved Mon, 29 Apr 2024 14:31:16 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107657, Retrieved Mon, 29 Apr 2024 14:31:16 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

211

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Multiple Regression] [] [2010-12-05 18:56:24] [b98453cac15ba1066b407e146608df68]
-   PD    [Multiple Regression] [WS10] [2010-12-10 13:19:53] [0cadca125c925bcc9e6efbdd1941e458] [Current]
- RMP       [Recursive Partitioning (Regression Trees)] [WS10 - MR] [2010-12-10 14:58:20] [4a7069087cf9e0eda253aeed7d8c30d6] 
F   P         [Recursive Partitioning (Regression Trees)] [W10] [2010-12-14 09:09:52] [247f085ab5b7724f755ad01dc754a3e8] 

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Dataseries X:

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3.66356	7.74414	-4.4	4.2	0	18	19	116
3.04452	8.03398	-5.7	4.8	-0.3	69.1	9	506
3.71357	4.70048	-13.5	4.3	0.2	80	3	95
2.94444	7.5251	1.4	3	0.1	177	22	161
4.06044	7.7626	4.1	5.6	1.1	287	7	80
3.68888	7.88683	5.8	2.3	-0.1	200	9	33
3.3322	7.81521	2.7	1.9	0.4	228	7	129
3.3673	7.77779	7.1	8.9	0.2	220	15	155
2.07944	6.89163	4.1	2	0.1	183	9	132
1.94591	7.6774	1.1	5.2	0.1	43.1	10	480
3.3322	5.71373	-9	3.4	0	80	6	98
3.21888	8.33471	1.6	4.4	-0.3	78.1	16	558
1.09861	4.65396	-0.4	5.7	0.8	267	3	121
5.3845	7.38895	-4.8	6	0	81	20	122
3.93183	7.81763	-0.9	1.4	-0.3	236	15	51
3.3673	4.96981	-0.5	0.6	1.7	341.1	4	552
2.83321	7.80384	-1	1.8	0	16	7	150
3.04452	7.62168	-2.3	5.2	-0.1	66.1	12	428
2.99573	5.21494	5.8	2.6	-0.2	68.8	3	582
4.21951	7.64204	5.1	2.2	1.1	199	18	538
3.04452	7.77149	10.8	2.4	-1.5	329.8	13	579
3.7612	8.31385	12.2	4	-2.8	230.4	17	572
3.58352	7.63964	-2.8	2.1	-1.6	210.2	11	512
2.48491	7.05531	11.2	3.3	2.3	302.8	23	604
2.48491	7.38275	13.6	0.6	-0.8	159.8	11	602
3.3322	7.56786	-12.3	3.7	-0.2	70	12	460
3.13549	7.92226	4.2	1.4	0.2	161	7	127
2.07944	7.38771	-2.8	4.5	0.1	53.3	21	417
3.68888	7.4793	3.4	7.2	0.5	209.1	12	477
2.99573	3.97029	-11.7	2.7	1.7	81	4	87
3.98898	8.05102	-2.5	3.2	0.1	83	9	51
3.04452	6.67834	3.9	4.8	-0.6	66.8	8	573
3.55535	7.34601	3	1.4	1	200	21	177
1.79176	7.54062	0	6.1	-0.2	207.5	19	489
3.04452	4.82028	-2.6	2.1	0.7	72.8	4	530
2.56495	7.80057	1	2.2	0	99	7	65
4.36945	7.41878	-0.2	1.1	3.2	138	22	49
3.46574	7.96032	7.7	4.8	-0.2	66	17	196
4.60517	8.23669	10.7	5.3	-0.9	205	17	192
3.09104	8.30721	9.3	7.3	-0.5	206	17	212
4.15888	8.26333	9.5	5	-0.9	208	17	208
1.79176	7.50329	1.6	4.5	0.1	117	19	62
2.48491	6.49527	-3.4	0.5	1.1	217	6	135
3.21888	7.74414	-1.3	4.2	-0.2	59	15	149
3.73767	6.75577	-3.2	2.6	0.6	70.5	21	398
4.2485	6.51915	-1.8	2.3	1.1	81	23	174
3.8712	4.77068	-0.5	0.5	0.7	358	4	402
4.00733	7.88721	7.6	4	-0.6	180	13	208
2.94444	5.42053	3.4	2.9	0.4	74.7	3	567
3.09104	3.80666	7.4	3.2	-0.1	225	3	205
1.94591	4.8752	-3.5	3.8	-0.1	60.5	3	418
3.52636	8.25088	19.8	4.8	-1.9	260	17	206
3.8712	7.85516	16.3	3.4	-0.1	225.3	20	605
2.99573	8.25427	-7.3	5	0	60	8	506
4.07754	7.36201	-0.6	0.8	1.1	88.3	21	422
3.21888	7.59388	-0.4	4.5	-0.2	64.6	13	430
3.49651	8.35208	17.8	5	-2.5	219.6	16	599
3.2581	4.62497	-1.9	2.2	2.2	268	4	172
2.99573	7.39879	-10	3.8	-0.1	78.4	20	449
2.70805	6.48616	-1.3	2.9	0.7	63.3	24	397
3.09104	6.20456	4.7	1.5	1.1	104.4	1	588
4.06044	7.64348	0.3	1.5	-0.3	172	13	130
3.61092	7.59337	8.8	2.2	0	186	21	577
2.56495	6.43455	-9.3	3.6	0.1	71.2	9	450
1.60944	7.00033	-2.4	5.8	0	61	22	418
5.0876	7.49499	2.9	1.2	2.1	271.1	21	543
2.30259	7.80221	2.5	5	0.1	135	7	128
3.2581	7.55276	13.4	3.9	0.3	216.8	19	606
3.66356	6.82979	-15.5	3.1	0.2	70.3	22	460
3.04452	7.49053	-1.6	2.2	-0.9	211.7	12	501
3.4012	7.59035	0.1	2.6	-0.1	73	11	66
3.04452	5.51745	-2.8	0.5	2.2	5	5	155
3.4012	8.18619	-0.9	1.3	0.6	57	8	67
3.55535	5.95842	-10.3	1.2	2.5	86	24	86
3.97029	7.55276	-4.1	0.7	-0.7	264.8	13	401
4.72739	7.77022	-3.8	4.9	-0.2	68	7	166
4.30407	7.99834	8.2	5.6	-0.6	210	15	212
2.56495	7.15305	-4.8	4.7	-0.1	74.6	23	441
3.78419	7.95997	-4.3	6	0.1	18	13	82
4.95583	6.57508	6.2	1.3	1.1	226	24	200
3.66356	7.88231	3.3	5.8	-0.1	46.9	19	557
5.26786	7.43603	-1	1.8	1.4	89	20	44
3.46574	4.95583	-4	1.7	1	65	2	165
2.07944	5.1299	7.8	1.6	1.7	184.3	4	604
3.3673	7.20638	-5.3	1.8	-0.2	80	13	451
3.29584	7.46107	2.2	3.1	0.1	62.3	13	470
2.19722	7.53209	14.8	4.2	-4.5	227.7	11	588
3.43399	8.13359	-4.8	1.5	0	196	17	100
3.2581	6.91771	12.8	1	0.3	103.5	24	602
2.83321	7.12206	-3.2	4.6	-0.1	62.2	12	427
3.63759	8.2845	0.7	0.8	-0.8	86	8	541
2.70805	7.56528	3.5	6.9	0.2	204.4	15	482
2.99573	7.65112	-6.8	2.2	-0.4	78.8	16	517
4.00733	7.67183	8.3	0.7	-1.3	206.2	14	532
3.43399	6.31173	-19	2.3	0.8	60.9	8	461
0.69315	7.0775	7	4	-0.2	54.3	10	578
3.52636	7.34148	-14.6	1.6	-0.4	228.9	14	457
2.63906	7.96346	3.6	3.2	1.2	268	18	42
1.94591	7.35116	3.5	1.9	0.2	215	20	107
3.71357	7.54115	5.2	0.9	-1	280	11	155
2.83321	6.64249	-8.3	2.6	0.2	60	23	85
3.43399	7.56579	0.6	3.8	-0.4	64.6	12	507
3.29584	8.1806	-0.5	0.7	-0.2	248	15	124
3.17805	7.60738	1	2.4	-0.1	192	13	38
4.81218	7.54327	-8	0.6	0.5	88	13	94
4.63473	8.20985	-3	1.5	2.7	89.6	8	470
3.04452	5.76205	5	3.2	0	58	6	195
3.8712	6.91274	-5.1	0.8	1.4	241	23	137
3.68888	8.19781	0.2	2.4	0.5	80	8	72
4.33073	7.6024	12.9	5.6	-0.8	46	13	188
4.61512	7.54327	2.6	2.6	-1.9	243	11	45
4.43082	7.70661	7.8	8	-1.2	33.7	13	556
3.4012	5.54518	-0.7	2	-0.3	254	1	542
2.48491	7.68432	7.7	1.5	-0.1	89	16	209
3.29584	7.90064	1.5	1.3	0.9	334.7	18	422
2.94444	7.76684	15.8	3.2	-0.2	125.5	17	595
3.3673	7.97797	4.3	5.7	-1	232	9	156
2.89037	7.89767	8.1	6.4	-0.5	199.4	7	577
4.90527	8.24065	11.6	6	-1.3	213	16	193
2.63906	7.07581	2.8	3.2	0.3	223	10	69
3.29584	7.7424	-4.4	4.9	-0.1	23	10	82
3.71357	6.97915	-5.1	3.3	1.4	81	23	98
4.39445	8.27741	2	2.5	-0.3	207.2	16	536
3.82864	8.01268	10	4.8	-0.5	83.2	9	600
2.56495	5.78996	1.1	4	-0.1	79	3	70
3.3322	7.45934	6.1	2.5	0	92	22	210
3.13549	6.22851	0.1	1.9	1.1	208.8	6	538
0.69315	6.45362	-2.6	4.9	0.2	38.3	23	405
4.00733	7.7178	7.9	0.4	0.5	276	19	184
3.2581	7.92696	4.8	9.4	0.6	204	14	474
3.2581	6.56244	2.6	2.8	-0.7	224.1	8	545
4.84419	8.17273	-9.6	1.1	1.3	191	16	94
2.63906	5.1299	-1.5	2.5	-0.1	245.1	4	510
1.38629	4.54329	3.8	5.8	0.7	201.9	3	473
3.2581	5.71043	1.8	2.7	0.9	181.9	1	527
2.30259	8.19257	-0.7	4.1	0.6	252	8	121
3.09104	5.00395	3.6	2.7	1.2	344.7	4	533
2.94444	7.39817	3.9	6.2	0.7	206	20	155
3.4012	6.63988	4.7	3.6	0	59	24	196
2.99573	6.29342	-2.5	4.9	-0.2	84	7	167
3.82864	7.4378	-9.9	4.5	-0.1	55	11	89
2.30259	7.7977	1.7	2	0.3	38	15	63
4.29046	7.33629	-12.8	3.5	0	79	19	97
4.41884	7.51589	4.3	2.1	0.6	32.3	20	555
3.3673	7.70841	2.1	3.1	0	79	10	64
2.30259	4.64439	-2.2	4.9	-0.1	77	2	114
3.98898	7.77402	3.3	1.8	-0.3	220	10	155
4.12713	5.05625	5.6	3.5	-0.1	78	4	184
3.68888	5.86363	-0.6	0.6	1.7	142	1	79
2.30259	5.52943	3.4	4.7	0.8	220.1	5	474
3.29584	7.91754	0.2	2.8	0.4	335	15	53
3.13549	6.74052	-6.4	2.8	-0.1	77	22	84
2.07944	6.53669	8	1.9	-0.2	54.6	8	578
5.25227	7.82844	3.6	0.8	1.5	87.7	19	529
3.78419	7.74846	-13.4	4	0.2	74.1	13	448
3.97029	5.71043	-2.1	1.3	1.8	87.8	1	485
2.99573	5.64897	-8.7	4.3	-0.2	74.5	1	450
2.56495	6.42972	1.6	1.3	1	58	8	76
3.21888	6.51323	-3.9	2.8	0.4	71.3	8	398
1.38629	7.93057	1.4	2.5	0.2	210.5	19	525
3.13549	7.59337	3.3	4.2	1.2	235	20	138
4.06044	7.19818	3	1.8	1.1	191	22	192
4.27667	8.23377	7.2	3.8	-0.2	31	15	173
3.49651	8.13212	-1.7	1.5	-0.1	68	8	515
3.21888	7.87284	0.8	5	0.1	76.2	19	514
4.07754	7.53102	0.1	3.5	1.2	66.3	20	397
4.20469	7.49276	4.5	6.6	-0.1	210	12	156
4.18965	5.65599	0.3	1.5	1.7	303.4	1	529
2.48491	7.07327	-0.9	1.6	-0.5	256.5	9	510
1.09861	6.33683	2.2	2.8	0.1	142	1	63
2.48491	7.21229	-0.6	2.1	0.1	60	21	134
2.48491	7.86978	3.2	2.6	1.3	286	20	42
0.69315	7.84031	4.1	2.7	0.2	175	19	56
4.34381	7.98344	-4.8	0.8	1.1	230.1	17	445
2.63906	7.03086	7.1	1.6	0.5	66.4	22	593
3.29584	7.90175	-4.4	3.8	0.1	15	9	82
4.17439	7.72223	7.1	3.9	-0.9	90	10	197
3.71357	8.19451	0	0.8	-0.3	254.2	16	500
4.02535	7.84698	11.6	4.2	-2.7	247	14	200
4.85203	7.58731	3.1	2.2	-3.4	227	11	148
4.64439	6.47235	1.5	1.2	1.3	101	24	191
3.63759	7.74932	15	7.3	-2.2	229.9	14	584
3.4012	8.12711	3.6	4.9	1.2	238	18	138
1.79176	5.68358	5.7	1.9	0.3	49	6	189
4.11087	7.58274	3.4	6.9	-0.1	194.9	11	548
3.3673	8.01434	10.1	2.4	-0.3	44	17	189
4.44265	7.65539	-2.4	2.6	0.7	78.3	18	398
2.77259	7.83716	0.2	4.5	0	80	7	157
3.71357	6.9921	-15	3.3	0.6	66	23	462
5.17048	8.08209	5.2	7.2	-1.3	202.7	14	537
3.09104	7.85554	4.1	3.4	0.1	79	7	170
2.70805	7.68064	6.3	9.4	0.2	248	16	160
4.11087	7.5438	8.7	4	-1.2	216.3	14	538
4.79579	8.30598	2.4	4.2	-0.7	65.1	8	556
2.3979	5.95324	-5.3	1	2.2	60	9	77
2.99573	6.2634	2.5	4.3	-0.1	79	24	69
3.13549	8.25036	9.3	5.4	-0.8	213	16	212
3.43399	7.61776	-5.6	3.1	-0.5	77.4	11	519
3.4012	7.44425	5.6	7	1	248.1	12	471
3.09104	7.87169	-1.7	0.5	0	218	18	51
4.45435	7.64492	-5.6	4.9	-0.1	56.7	7	409
4.18965	7.46851	-3.5	0.7	0.2	165.1	20	520
3.73767	8.18256	-11.2	3.7	0.2	78	16	96
4.20469	5.10595	-11.9	0.6	0.8	286.5	4	489
2.56495	5.79301	2.1	2.6	3.1	241	1	32
2.56495	7.14125	1	4.5	1.3	232	21	145
4.85981	7.69303	8.8	3.6	-2.5	85.4	12	547
5.25227	7.23056	-4.6	6.5	0.1	80	21	122
2.63906	6.0845	-5.8	2	-0.3	107.5	1	518
3.13549	5.72031	1	1.8	0.6	92	3	76
1.94591	6.81892	0.1	1.7	-0.1	214	11	112
3.4012	5.67332	-1.9	0.9	3.7	109.2	5	397
4.72739	8.26178	1	3.4	1.3	248	8	43
3.3673	5.92959	2.1	3.8	0.5	64.2	1	531
3.2581	7.53262	6.1	2.5	-0.1	182.5	21	572
3.73767	8.11761	0.2	0.8	0.9	11	16	113
1.79176	7.98446	1.9	5.8	0.2	9	9	80
4.06044	7.7463	11.8	6	-0.7	212.7	14	582
3.91202	8.19229	-4.4	1.5	0.5	87.9	8	423
0.69315	6.43294	1.9	2.4	0.1	133	24	62
1.60944	5.2832	8.6	1.8	1.5	242	3	34
4.46591	8.22336	9.1	9.4	-0.5	39.4	16	556
3.17805	7.68983	13	0.3	0.4	114	22	602
2.89037	6.70564	1.8	0.8	0.1	269	6	141
4.17439	7.58426	4	3.1	-1.7	103.7	12	554
3.73767	8.04943	-7.8	0.6	-0.1	177	17	95
4.00733	7.72886	8.7	5.5	-0.4	132.3	14	573
3.04452	7.51806	-4.9	4.1	-0.2	73.8	13	436
2.63906	7.58172	-8.8	8.1	-0.1	53	18	90
4.11087	8.28425	2.9	3.3	0.8	22.1	17	397
4.47734	8.01731	0.4	3.9	0.7	67.4	18	507
3.17805	7.67786	-0.7	4.3	-0.4	59	13	151
3.3322	7.8598	4.2	2.7	1.1	230.7	18	526
0.69315	4.79579	2.7	2.8	0.2	187	4	131
4.58497	7.66528	7.4	0.9	-0.2	55	13	184
0.69315	4.36945	0.6	4.6	0.1	350	3	171
3.4012	7.5251	6	3.5	-0.2	78.1	21	571
2.07944	7.73849	1.6	1.6	0.3	211.3	21	525
4.55388	7.62071	3.4	5.9	-0.6	45	13	164
3.21888	5.39363	3.3	1.7	-0.1	187	4	202
2.77259	5.87774	-5.4	5.1	-0.2	72.2	2	441
3.29584	5.8522	4.2	1.7	1	175	5	587
3.3322	8.02027	2	6	-0.1	152	18	61
4.02535	7.23706	-14.2	1.4	-0.1	238.1	18	457
4.38203	7.83281	9.4	2.9	-0.3	248.4	15	540
2.99573	4.60517	1.5	1.1	0.2	233.7	3	480
3.55535	8.11073	0.6	6.8	0.3	10	8	54
3.2581	7.57917	2.5	3	-0.2	83	13	64
4.47734	8.31361	-0.3	3	-0.8	71.8	8	554
4.06044	4.86753	1.4	0.7	1.5	79.4	4	563
3.21888	7.50879	-0.7	4	-0.5	65.1	11	507
4.46591	6.51323	-8.1	0.7	1.2	111	24	143
3.13549	6.6107	-13.1	3.5	0	83	9	97
2.30259	4.70048	6.3	6	0.9	219.2	2	586
3.61092	6.94986	-3.8	0.7	-0.2	258	23	74
3.13549	5.72685	-3.6	0.8	4	302.4	5	470
3.89182	8.16337	-1.1	1.5	-0.2	157.4	16	521
3.21888	7.7012	15.8	3.9	-0.4	119.5	15	595
3.17805	4.45435	-5.1	3.4	0.4	58.4	3	507
3.73767	8.28248	8.5	3.1	-0.7	238	8	205
2.3979	8.05833	-2.1	4.1	-0.2	82	8	114
3.68888	7.90027	1.5	0.5	-0.6	99.2	13	509
4.26268	7.34148	3	0.8	0.6	86	21	32
4.94164	7.90027	-12.6	2.2	0.2	77.8	19	488
3.29584	7.65917	3	3.1	-0.1	221	14	169
2.07944	5.60947	-5.2	2.9	0.1	60	2	90
2.19722	7.15227	3.5	0.9	0.2	265	22	169
2.07944	5.42495	2.8	1.3	0	75.8	2	404
4.54329	7.8071	6.5	4.3	-1.1	44	11	173
2.07944	7.94839	2.5	3.6	-0.1	54.7	16	574
4.36945	8.34069	6.3	4.2	-0.1	76	16	166
3.97029	7.54062	-1.4	1.7	-0.2	86	12	51
3.98898	5.89164	1.7	1.1	2.4	173.1	1	533
2.99573	7.52402	2.4	7.9	-0.1	43.5	21	557
3.52636	6.43294	-0.1	1.6	-0.2	75	22	55
2.99573	7.50219	3.1	1.7	0.3	269	12	69
5.39363	8.04045	12.9	8.3	-1.1	357.5	14	551
3.63759	7.31986	-13.4	3.8	0.1	75	11	448
2.30259	5.43372	0.7	3.9	0.1	182.9	2	491
4.92725	7.94058	2.4	1	0.4	110.7	7	533
2.94444	8.17808	-1.3	5.6	-0.2	46	17	149
2.70805	7.65728	-6.3	4	-0.1	51.6	19	408
2.07944	7.56164	3.5	1.8	0	71.2	21	576
3.4012	7.98752	0	4	-0.3	78.5	9	430
5.05625	7.63143	11.8	2.4	-1.5	232.5	14	535
4.93447	7.63192	5.8	1.9	-3.1	260.8	12	541
2.56495	7.6324	3.1	4.7	-0.1	48	12	576
3.04452	7.9248	1.4	2.1	0	221	17	525
1.38629	4.30407	0.8	3.1	1.6	77	3	50
2.77259	7.67555	6.8	9.9	-0.2	249	15	160
3.91202	7.1025	1.3	8	0	61.6	23	557
4.35671	7.95437	6.8	1.5	-0.6	124.9	7	585
3.4012	7.87474	-6.8	1	0	207	15	84
4.02535	7.85166	10.5	4.4	-0.9	69	15	198
3.73767	8.26049	3.8	5.2	0	222	8	163
2.94444	7.7411	-12.8	3.6	0.1	68.4	14	460
4.09434	5.24702	1.3	0.8	1.1	72.3	5	563
3.04452	5.24175	-4.2	1.4	3.6	230	2	155
3.17805	7.55224	-0.6	2.5	-0.1	75	13	111
2.56495	7.96242	-6.1	5.2	0.4	27	18	82
2.63906	6.85751	5.1	5.5	0.1	230	10	126
3.09104	8.1191	0.8	3	-0.1	78	17	65
3.4012	8.00068	-4.4	3.7	-0.1	78	14	68
2.19722	4.11087	-6.5	2.1	-0.1	68.2	5	451
3.7612	4.81218	-3.7	0.9	-0.1	281.3	4	513
2.77259	6.42811	0.7	2.9	1.4	229.6	24	473
3.4012	4.95583	-5.7	3.3	0.6	72	2	401
3.61092	6.16121	8.4	3.3	0.7	80.5	24	564
3.3673	6.55251	-0.2	2.8	0.7	71	23	72
0.69315	5.1299	-1.9	4.5	0.4	17	2	40
2.94444	5.18739	-7.3	1.9	0.5	85	3	118
4.17439	7.91608	0.1	2.1	2	77	18	49
2.83321	7.33954	-5.9	2.9	0.2	64.6	22	406
3.04452	7.0076	4.7	5.6	0	69	23	211
3.2581	7.87664	4.2	4.4	0.6	189.8	15	472
3.21888	7.23778	2.1	5.4	0.1	159	21	61
4.23411	7.64348	-0.5	2.1	-2	247.8	14	513
4.81218	7.08339	-3.7	1.1	0.1	192	22	101
4.39445	7.95718	6.5	6.2	-0.1	210.8	18	547
2.63906	6.42162	2.1	4.1	0.7	260	24	43
3.2581	7.29029	-3.1	1	-0.2	211	21	102
1.94591	5.42495	-12.8	0.8	1.2	55	6	91
2.94444	7.29029	3.8	4.3	0.5	210	22	105
2.56495	7.52348	3.4	6	0.2	191	14	482
3.21888	5.63479	-4.2	2.1	1.1	91	2	68
2.77259	7.97694	-1.7	5.2	0	76	8	124
4.61512	7.78197	5.4	3.6	-1.1	44	10	173
1.60944	5.743	3.4	4.9	0.7	243	2	140
2.07944	5.743	-0.2	5.6	0.2	16.6	2	553
3.8712	5.62762	2.1	1.5	2	227.8	5	533
3.17805	7.85477	-12.5	3.2	0.2	82.1	15	456
3.58352	7.56941	-4.1	4.3	-0.1	44.7	14	409
4.68213	7.08087	-9.8	0.5	0.2	131	21	83
2.56495	7.43603	-4.9	4.7	-0.1	79.6	21	441
2.30259	6.11368	-5.2	3.5	0	59	1	90
3.55535	7.97488	-1.6	3.5	0.5	34.5	18	480
3.46574	6.69084	6.4	1.2	0	188	6	207
2.48491	7.79523	2	2.8	1.6	242	18	127
4.21951	5.21494	-8.5	1.5	2.8	279	10	93
2.30259	7.65112	3.6	7.6	0.5	199.3	17	482
2.70805	6.12905	0.4	0.8	0.1	297	7	524
2.99573	8.08979	1.2	3.6	0.1	63.9	15	411
2.48491	5.76519	-3.5	3.2	0	240.2	2	504
3.13549	8.06401	3.6	2.3	-0.3	9.4	9	549
4.15888	7.39265	-14.9	1.9	0.8	65	20	91
1.79176	6.43294	1	2.5	-0.2	75	10	70
3.29584	7.62462	-1.7	1.6	-0.1	172	19	51
2.83321	5.22036	3.4	1.1	1.4	89	6	565
3.52636	6.35611	6.9	7	0.8	220	24	34
3.2581	4.47734	-4.8	2.5	0.4	84	3	101
3.98898	6.50279	4.2	3.9	0.6	78	24	197
1.60944	6.88959	1.5	4	0.1	240.4	22	523
3.49651	7.32909	-2.9	1.9	1.7	337.8	19	468
3.17805	7.3601	-8.2	4.7	-0.2	76.5	11	408
4.67283	7.77107	7	3.1	-0.3	73	10	185
3.43399	6.16121	8.1	1.9	-0.1	211.9	1	578
2.07944	7.97281	3.7	4.2	0.2	172	9	128
3.29584	7.90323	0.7	2.1	1.3	207.1	18	473
2.30259	8.16223	0.4	8.6	0.1	34	17	39
2.07944	4.83628	-10.4	1.9	1.1	75	7	86
0.69315	4.91998	6.5	4.5	0.4	206	2	57
3.13549	7.47591	9	4.6	-0.9	208.7	10	587
3.82864	7.52941	10.1	1.1	-3.1	255	11	188
3.8712	7.88796	-0.3	1.7	0.4	26.9	15	416
2.99573	4.47734	-4.4	2.6	0.8	85	4	38
3.2581	7.73281	1.7	1.5	1.1	345	19	158
3.3322	6.93245	-3.2	0.8	-0.1	260	22	68
3.49651	7.65634	-5.9	3.1	-0.1	77	16	85
1.94591	7.0193	3.7	3.6	0.1	195	22	107
4.57471	8.0762	9.9	2.2	0	92	16	177
3.91202	7.90175	7.4	4.3	-0.3	178	18	190
3.80666	6.89669	5.1	2.5	0.7	80	23	197
3.93183	4.30407	3.2	1.5	0.4	75	3	194
2.48491	5.15906	0	4.3	0.1	102.7	3	477
3.13549	7.82764	-5.6	6.1	-0.2	79.5	17	441
2.94444	7.02554	0.7	2.4	-0.2	232.5	23	542
3.4012	7.90175	15.1	2.9	0.2	113.9	19	567
1.94591	5.73334	-2.2	4.3	-0.1	72	5	124
3.17805	5.34711	-3.8	2.7	-0.2	80.5	3	511
3.21888	7.58477	4.2	6.5	0.4	214.3	11	474
2.63906	6.84055	-13.1	4.8	-0.2	52.8	11	462
3.3322	7.55381	-0.2	3.9	-0.2	79.6	12	430
2.70805	4.78749	1.5	3.2	0.1	153	4	61
3.78419	6.86485	0.8	1.5	-0.1	231.5	23	540
3.78419	7.81197	-6.6	2.2	1.3	87	7	122
1.60944	7.89469	2.1	4	-0.1	47.8	14	574
3.3673	7.76132	1.7	2.9	-0.1	81	14	60
3.04452	6.07764	-4.1	5.4	-0.1	66.5	1	427
4.45435	7.80954	18.2	3.7	-2.7	250.7	15	568
1.94591	5.4848	2.2	2	1.9	253.8	5	473
2.63906	5.27811	-7.8	4.6	-0.1	71.5	19	450
3.3322	7.76684	-5.4	3	-0.2	77	14	85
3.43399	5.5835	-4.5	4.1	0.3	59.4	1	507
3.89182	7.86634	8	6.1	0.1	197	19	212
2.19722	8.19644	2.7	3.8	0.2	139	8	128
4.59512	7.59186	-5.6	3.9	-0.2	41	13	116
3.49651	5.54126	4.6	0.9	0.5	108	5	190
2.83321	7.55799	12	4.4	0.2	274.2	20	584
2.19722	6.51471	4.4	2	0.7	205	6	33
2.89037	6.21461	4.5	3.5	0	55	9	196
3.4012	6.63988	0.2	0.5	1.4	84.8	24	483
2.99573	6.02345	-18.6	2.3	0.1	79.4	7	457
3.73767	7.62413	0.1	2.6	1.5	230	19	175
2.94444	5.84064	7.4	4.3	0.3	189.6	1	590
3.58352	8.32579	7.6	4.2	0	224.1	8	583
3.29584	7.32053	8.6	2.6	-0.1	189.2	22	577
4.8752	7.91571	-2.5	3.6	0	64	15	143
4.33073	7.7424	10.6	1.8	-1.6	245	14	177
3.29584	6.91771	-1.6	1.1	0	282	23	51
3.78419	7.78239	5	3.1	-0.4	230	16	545
3.61092	5.18739	5.2	4.4	0.8	206	4	126
2.83321	6.14204	5.3	2.3	1.2	153.1	1	587
3.7612	5.48064	-13.1	1.1	1.3	62.9	5	464
3.58352	5.2933	3.3	2.2	0.5	77.1	2	562
3.17805	5.4848	-0.8	3.5	0	176.8	5	522
3.52636	5.03044	-4	1.5	-0.1	108.2	2	521
4.21951	7.6406	1.7	2.3	-0.3	85	15	167
3.93183	8.29255	6.1	4.2	0.3	23	17	173
2.30259	5.70378	5.8	2.8	0	43	7	189
3.2581	5.4848	5.7	3.3	0.5	228	5	204
2.70805	7.02997	14.9	2.8	-5	255.5	10	594
3.55535	5.31321	-5.7	2.2	0.6	82	5	165
1.94591	6.14419	0.2	3.1	0.1	73	9	56
4.36945	5.14749	-9	1.3	0.4	77	2	88
4.70048	7.66388	16.8	6	-1.1	272	14	205
2.48491	5.8944	2.8	4.7	0	66	2	574
1.60944	7.61085	-0.1	6.6	-0.3	205.2	14	489
3.78419	7.52294	-12.5	0.8	-0.4	232	19	463
1.94591	4.82831	-7.8	3.7	0.1	58.4	4	407
3.09104	7.54908	0.9	1	-0.6	213.1	12	484
3.21888	7.75833	-4.2	4.6	-0.1	78	10	120
2.48491	7.50659	21.9	3.6	-2.5	264.1	19	608
2.19722	6.07764	-10.1	2.8	0	73	1	89
4.93447	7.01571	-9.4	1.2	0	73.8	23	437
4.04305	7.59488	11.2	1.7	-2	236	12	188
4.51086	8.20576	1.8	3.2	0.2	216.6	8	551
1.94591	4.59512	0.5	5.5	0.1	354	4	171
3.09104	8.23297	-2.2	1.6	-0.3	211.7	16	501
4.60517	8.31532	-0.1	5.2	-0.8	79	8	555
3.63759	7.57096	8.4	5.4	-1.8	240	11	163
3.46574	7.61036	0.9	3	-0.7	340	12	142
3.8712	8.21528	-2.9	1.4	-0.2	113.4	8	521
5.15329	8.19146	2.3	2.5	0.6	16	17	44
3.04452	7.67322	-1.4	4.4	-0.1	38.1	14	410
3.49651	7.78655	0.4	1.5	-0.1	110	13	124
2.56495	4.69135	-11.3	2.5	1.2	82	5	87
3.85015	7.629	0.1	3.9	-0.2	70.7	14	506
2.48491	5.49717	-5	4	-0.1	75.4	5	440
2.07944	6.57368	1.6	2	1.2	212.7	6	472
2.99573	7.90618	-2.8	2.3	-0.1	205	20	511
1.38629	6.55251	-3.5	3.9	-0.1	46.3	24	409
3.17805	8.22013	2	3.5	-0.2	82	8	64
2.19722	5.42935	2.4	3.6	0.1	125	5	128
3.55535	7.89096	7.1	3.4	-0.3	82.5	19	571
3.8712	8.02453	-2.7	1.4	1.6	66	9	73
3.4012	7.14283	-1.3	1.2	0.6	66	21	113
3.04452	7.97039	5.5	3.9	-0.5	231	14	131
4.34381	6.65801	5.5	1.1	0.9	138	24	199
2.3979	7.10003	-4	5.8	-0.4	78.4	11	399
2.63906	7.65681	-0.2	2.4	0	41	19	157
2.56495	4.70953	-2.8	1.8	1.4	198.9	3	537
3.3322	5.60212	3.8	3.9	-0.2	85	5	187
2.56495	7.85127	0.2	2.8	0.1	78	17	112
3.68888	7.89655	12.8	6.8	-0.6	227.7	15	583
2.3979	7.20638	-0.8	1.6	1.7	192.6	22	469
2.3979	4.89035	-10.8	1.5	0.2	57	3	460
4.68213	7.56735	-10.2	0.6	2.4	110.8	10	465
3.04452	7.61135	0.8	3.1	-0.1	65.6	19	429
3.04452	6.66823	4.1	1.4	0.2	139.8	24	572
2.19722	5.0689	4.3	4.9	0.1	82	2	212
3.17805	7.46107	-2.8	1.4	-0.1	243	20	102
4.48864	7.68018	-0.4	0.8	2.6	147	21	49
2.30259	7.80344	2.4	3.9	0.2	14.3	20	574
3.29584	8.26256	3.4	0.9	0.3	228	16	109
3.17805	7.6695	12.1	2.8	-3.2	256	13	203
4.06044	5.33272	-2.5	2	1.3	80.7	3	532
4.15888	6.30992	-4.5	2	0.3	90	24	100
3.09104	6.67456	2.2	7.1	0.1	37.9	6	557
4.41884	8.09316	-4.7	1.4	1.2	276.8	18	445
2.89037	6.56667	0.1	2.1	-0.2	247.4	6	543
1.09861	5.83481	-5.8	7.7	0.1	47	7	90
3.43399	7.794	3.3	4.3	0.8	217	17	105
3.52636	7.76089	2	1.7	1.1	234	15	121
3.13549	7.67276	1.3	4.2	0.2	169	10	61
2.19722	7.979	1.4	5	-0.1	40.7	9	480
3.13549	7.78406	6.1	1.9	0.4	171	21	210
2.07944	5.95842	-3.1	4.2	-0.1	52.5	2	426
3.63759	4.54329	-11.5	1.7	3.7	90.4	4	465
3.73767	5.62762	-6.6	1	-0.1	200	2	445
2.48491	5.66643	-3.8	2.1	0.6	73	3	77
1.94591	7.54539	6.5	9.4	-0.9	250	11	160
1.94591	6.23832	-0.4	3.3	0.3	215.1	24	470
2.77259	4.56435	-6.3	2	2.3	223	3	148
2.70805	6.58203	2.2	1.8	0.1	64.2	6	549
1.79176	5.31321	-4.9	4.2	0.3	353	2	117
2.30259	5.61677	-1.3	2.8	-0.1	65.2	1	486
4.11087	7.7111	-5.1	0.7	0.3	60	10	99
3.4012	6.2519	0.1	1	0.2	87	24	111
3.68888	7.85516	6.5	5.2	-0.2	69	19	196
4.17439	8.24512	8.6	1.6	-1	258.8	15	530

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	24 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 24 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107657&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]24 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107657&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107657&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	24 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Multiple Linear Regression - Estimated Regression Equation
PM10[t] = + 1.23054751597176 + 0.32678291036685Cars[t] -0.00212248873738100Temp[t] -0.103338779289504Windspeed[t] + 0.0110718232100302Tempdiff[t] -4.56448970049517e-05Winddir[t] + 0.000317930999549815hour[t] + 0.000266198137725166day[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
PM10[t] =  +  1.23054751597176 +  0.32678291036685Cars[t] -0.00212248873738100Temp[t] -0.103338779289504Windspeed[t] +  0.0110718232100302Tempdiff[t] -4.56448970049517e-05Winddir[t] +  0.000317930999549815hour[t] +  0.000266198137725166day[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107657&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]PM10[t] =  +  1.23054751597176 +  0.32678291036685Cars[t] -0.00212248873738100Temp[t] -0.103338779289504Windspeed[t] +  0.0110718232100302Tempdiff[t] -4.56448970049517e-05Winddir[t] +  0.000317930999549815hour[t] +  0.000266198137725166day[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107657&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107657&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Estimated Regression Equation
PM10[t] = + 1.23054751597176 + 0.32678291036685Cars[t] -0.00212248873738100Temp[t] -0.103338779289504Windspeed[t] + 0.0110718232100302Tempdiff[t] -4.56448970049517e-05Winddir[t] + 0.000317930999549815hour[t] + 0.000266198137725166day[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	1.23054751597176	0.296506	4.1502	3.9e-05	2e-05
Cars	0.32678291036685	0.043561	7.5018	0	0
Temp	-0.00212248873738100	0.006667	-0.3184	0.750344	0.375172
Windspeed	-0.103338779289504	0.02079	-4.9706	1e-06	0
Tempdiff	0.0110718232100302	0.042363	0.2614	0.793927	0.396963
Winddir	-4.56448970049517e-05	0.000456	-0.1001	0.920338	0.460169
hour	0.000317930999549815	0.00646	0.0492	0.96077	0.480385
day	0.000266198137725166	0.000185	1.441	0.150227	0.075113

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 1.23054751597176 & 0.296506 & 4.1502 & 3.9e-05 & 2e-05 \tabularnewline
Cars & 0.32678291036685 & 0.043561 & 7.5018 & 0 & 0 \tabularnewline
Temp & -0.00212248873738100 & 0.006667 & -0.3184 & 0.750344 & 0.375172 \tabularnewline
Windspeed & -0.103338779289504 & 0.02079 & -4.9706 & 1e-06 & 0 \tabularnewline
Tempdiff & 0.0110718232100302 & 0.042363 & 0.2614 & 0.793927 & 0.396963 \tabularnewline
Winddir & -4.56448970049517e-05 & 0.000456 & -0.1001 & 0.920338 & 0.460169 \tabularnewline
hour & 0.000317930999549815 & 0.00646 & 0.0492 & 0.96077 & 0.480385 \tabularnewline
day & 0.000266198137725166 & 0.000185 & 1.441 & 0.150227 & 0.075113 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107657&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]1.23054751597176[/C][C]0.296506[/C][C]4.1502[/C][C]3.9e-05[/C][C]2e-05[/C][/ROW]
[ROW][C]Cars[/C][C]0.32678291036685[/C][C]0.043561[/C][C]7.5018[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Temp[/C][C]-0.00212248873738100[/C][C]0.006667[/C][C]-0.3184[/C][C]0.750344[/C][C]0.375172[/C][/ROW]
[ROW][C]Windspeed[/C][C]-0.103338779289504[/C][C]0.02079[/C][C]-4.9706[/C][C]1e-06[/C][C]0[/C][/ROW]
[ROW][C]Tempdiff[/C][C]0.0110718232100302[/C][C]0.042363[/C][C]0.2614[/C][C]0.793927[/C][C]0.396963[/C][/ROW]
[ROW][C]Winddir[/C][C]-4.56448970049517e-05[/C][C]0.000456[/C][C]-0.1001[/C][C]0.920338[/C][C]0.460169[/C][/ROW]
[ROW][C]hour[/C][C]0.000317930999549815[/C][C]0.00646[/C][C]0.0492[/C][C]0.96077[/C][C]0.480385[/C][/ROW]
[ROW][C]day[/C][C]0.000266198137725166[/C][C]0.000185[/C][C]1.441[/C][C]0.150227[/C][C]0.075113[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107657&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107657&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	1.23054751597176	0.296506	4.1502	3.9e-05	2e-05
Cars	0.32678291036685	0.043561	7.5018	0	0
Temp	-0.00212248873738100	0.006667	-0.3184	0.750344	0.375172
Windspeed	-0.103338779289504	0.02079	-4.9706	1e-06	0
Tempdiff	0.0110718232100302	0.042363	0.2614	0.793927	0.396963
Winddir	-4.56448970049517e-05	0.000456	-0.1001	0.920338	0.460169
hour	0.000317930999549815	0.00646	0.0492	0.96077	0.480385
day	0.000266198137725166	0.000185	1.441	0.150227	0.075113

Multiple Linear Regression - Regression Statistics
Multiple R	0.420078639159281
R-squared	0.176466063077913
Adjusted R-squared	0.164749116820892
F-TEST (value)	15.060755525115
F-TEST (DF numerator)	7
F-TEST (DF denominator)	492
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.81047251485717
Sum Squared Residuals	323.177923090742

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.420078639159281 \tabularnewline
R-squared & 0.176466063077913 \tabularnewline
Adjusted R-squared & 0.164749116820892 \tabularnewline
F-TEST (value) & 15.060755525115 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 492 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.81047251485717 \tabularnewline
Sum Squared Residuals & 323.177923090742 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107657&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.420078639159281[/C][/ROW]
[ROW][C]R-squared[/C][C]0.176466063077913[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.164749116820892[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]15.060755525115[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]492[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.81047251485717[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]323.177923090742[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107657&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107657&T=3

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Regression Statistics
Multiple R	0.420078639159281
R-squared	0.176466063077913
Adjusted R-squared	0.164749116820892
F-TEST (value)	15.060755525115
F-TEST (DF numerator)	7
F-TEST (DF denominator)	492
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.81047251485717
Sum Squared Residuals	323.177923090742

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	3.66356	3.37261426571013	0.290945734289873
2	3.04452	3.50306895475311	-0.458548954753114
3	3.71357	2.37568628646686	1.33788371353314
4	2.94444	3.41951419038747	-0.475074190387474
5	4.06044	3.20243345624646	0.858006543753539
6	3.68888	3.55924890571656	0.129631094283437
7	3.3322	3.61293695418916	-0.280736954189165
8	3.3673	2.87561372632352	0.491686273676484
9	2.07944	3.29798836148575	-1.21854836148575
10	1.94591	3.32978854546934	-1.38387854546934
11	3.3322	2.78979079520823	0.542409204791772
12	3.21888	3.64284073940617	-0.423960739406167
13	1.09861	2.19303410177854	-1.09442410177854
14	5.3845	3.07042292786537	2.31407707213463
15	3.93183	3.64670267576235	0.285127324237649
16	3.3673	2.94512018964818	0.422179810351821
17	2.83321	3.63824666852882	-0.80503666852882
18	3.04452	3.30232602497507	-0.257806024975069
19	2.99573	2.80423590132949	0.191494098670508
20	4.21951	3.64169860842918	0.577811391570822
21	3.04452	3.62580209028985	-0.58128209028985
22	3.7612	3.62427460808425	0.136925391915750
23	3.58352	3.62846405430732	-0.044944054307317
24	2.48491	3.35105241254369	-0.866142412543689
25	2.48491	3.69983193987672	-1.21492193987672
26	3.3322	3.46820476803507	-0.136004768035075
27	3.13549	3.69671616846449	-0.561226168464492
28	2.07944	3.30199883611252	-1.22255883611252
29	3.68888	3.0501825122178	0.6386974877822
30	2.99573	2.3133446760978	0.682385323902202
31	3.98898	3.54986153100004	0.439118468999958
32	3.04452	3.05399385879268	-0.00947385879267545
33	3.55535	3.53579275131524	0.0195572486847613
34	1.79176	3.18885260944478	-1.39709260944478
35	3.04452	2.74102374210171	0.303496257898288
36	2.56495	3.56518223106331	-1.00023223106331
37	4.36945	3.59079890549621	0.778651094503793
38	3.46574	3.3718274832979	0.0939125167021008
39	4.60517	3.38894391089748	1.21622608910252
40	3.09104	3.21798961453139	-0.126949614531385
41	4.15888	3.43532026341395	0.72355973658605
42	1.79176	3.23238567361750	-1.44062567361750
43	2.48491	3.34875621972375	-0.863846219723751
44	3.21888	3.36946155975178	-0.150581559751777
45	3.73767	3.29237737464006	0.445292625359943
46	4.2485	3.18914827127870	1.05935172872130
47	3.8712	2.83860884400759	1.03259115599241
48	4.00733	3.42311006313825	0.584219936861753
49	2.94444	2.84789235602249	0.096547643977513
50	3.09104	2.17225556625099	0.918784433749007
51	1.94591	2.54677682585091	-0.600866825850913
52	3.52636	3.41608018391302	0.110279816086979
53	3.8712	3.56754866186391	0.303651338136093
54	2.99573	3.56120317272594	-0.565473172725938
55	4.07754	3.68208976596850	0.395450234031496
56	3.21888	3.36135748926800	-0.142477489268004
57	3.49651	3.53222673309843	-0.0357167330984298
58	3.2581	2.57777906944691	0.680320930553086
59	2.99573	3.39807901302201	-0.402349013022008
60	2.70805	3.17136249222854	-0.463312492228538
61	3.09104	3.25736393858322	-0.166323938583223
62	4.06044	3.60022763179766	0.460212368202338
63	3.61092	3.61769077435327	-0.00677077435327486
64	2.56495	3.10147583831473	-0.536525838314729
65	1.60944	3.03934574483264	-1.42990574483264
66	5.0876	3.71171904579472	1.37588095420528
67	2.30259	3.28942028862513	-0.986830288625135
68	3.2581	3.42798031550935	-0.169880315509354
69	3.66356	3.30340568272434	0.360154317275656
70	3.04452	3.57192815051480	-0.527408150514795
71	3.4012	3.45867816293088	-0.0574781629308787
72	3.04452	3.05480961651745	-0.0102896165174459
73	3.4012	3.79764439379578	-0.396444393795776
74	3.55535	3.12978992432364	0.425560075676362
75	3.97029	3.72606697964271	0.24422302035729
76	4.72739	3.31252425066683	1.41486574933317
77	4.30407	3.29314121550153	1.01092878449847
78	2.56495	3.21273119633899	-0.64778119633899
79	3.78419	3.24707062930082	0.537119370699184
80	4.95583	3.29440468136066	1.66142531863934
81	3.66356	3.35104770918684	0.312512290813165
82	5.26786	3.50613722167475	1.76172277832525
83	3.46574	2.73550555644094	0.730234443559064
84	2.07944	2.89747885297113	-0.818038852971127
85	3.3673	3.52903123987403	-0.161731239874031
86	3.29584	3.47118772696543	-0.175347726965426
87	2.19722	3.32627529947194	-1.12905529947194
88	3.43399	3.76672374585954	-0.332733745859536
89	3.2581	3.52710921074039	-0.269009210740386
90	2.83321	3.20288407169552	-0.369674071695523
91	3.63759	3.98739749215343	-0.349807492153426
92	2.70805	3.10824645950444	-0.400196459504444
93	2.99573	3.65257617214376	-0.656846172143764
94	4.00733	3.76987974451658	0.237450255483415
95	3.43399	3.22709958229402	0.206890417705977
96	0.69315	3.26748997682473	-2.57433997682473
97	3.52636	3.60649074219999	-0.0801307421999939
98	2.63906	3.51250153341184	-0.873441533411836
99	1.94591	3.45625111662678	-1.51034111662678
100	3.71357	3.61173017566083	0.101839824339168
101	2.83321	3.17955048614001	-0.346340486140005
102	3.43399	3.44035777504435	-0.00636777504435337
103	3.29584	3.85679512635679	-0.560955126356788
104	3.17805	3.47075136328789	-0.29270136328789
105	4.81218	3.68121077118895	1.13096922881105
106	4.63473	3.9182062025476	0.716523797452402
107	3.04452	2.82335926606517	0.221160733934829
108	3.8712	3.46594817108398	0.405251828916016
109	3.68888	3.68460819212117	0.0042718078788268
110	4.33073	3.15202587406749	1.17870412593251
111	4.61512	3.40470792650623	1.21041207349377
112	4.43082	3.04298516105466	1.38783483894534
113	3.4012	2.96710772926129	0.434092270738706
114	2.48491	3.62585336617278	-1.14094336617278
115	3.29584	3.78756316872347	-0.491723168723473
116	2.94444	3.56024859947109	-0.615808599471088
117	3.3673	3.26218087703616	0.105119122963836
118	2.89037	3.27399509585958	-0.383625095859577
119	4.90527	3.31114496453436	1.59412503546564
120	2.63906	3.22086395521298	-0.581803955212983
121	3.29584	3.28646099545881	0.00937900454118726
122	3.71357	3.22622433208720	0.487345667912803
123	4.39445	3.80786164856396	0.58658835143604
124	3.82864	3.48495007284181	0.343689927158195
125	2.56495	2.72179217436529	-0.15684217436529
126	3.3322	3.45553498145376	-0.123334981453763
127	3.13549	3.21713274662683	-0.0816427466268335
128	0.69315	2.95422751802715	-2.26107751802715
129	4.00733	3.74244855522445	0.264881444775547
130	3.2581	2.96733059008503	0.290769409914967
131	3.2581	3.20981584094257	0.0482841590574256
132	4.84419	3.84374396145869	1.00044603854131
133	2.63906	2.77648598040609	-0.137425980406094
134	1.38629	2.23318675141557	-0.84689675141557
135	3.2581	2.95604945071353	0.302050549286475
136	2.30259	3.51543013352702	-1.21284013352702
137	3.09104	2.71980492002587	0.371235079974129
138	2.94444	3.04513166109217	-0.100691661092167
139	3.4012	3.07546365441053	0.325736345589467
140	2.99573	2.82670789306411	0.169022106935885
141	3.82864	3.24065280199193	0.587987198008065
142	2.30259	3.59154331525355	-1.28895331525355
143	4.29046	3.32165980327959	0.96880019672041
144	4.41884	3.61974113627139	0.799098863728608
145	3.3673	3.44132677187325	-0.0740267718732475
146	2.30259	2.27292486406351	0.029665135936492
147	3.98898	3.6090269783062	0.379953021693802
148	4.12713	2.55485663912379	1.57227336087621
149	3.68888	3.11963992631705	0.569240073682952
150	2.30259	2.67114060869048	-0.368550608690480
151	3.29584	3.53610635543966	-0.240266355439659
152	3.13549	3.18220289103497	-0.046712891034975
153	2.07944	3.30500190337161	-1.22556190337161
154	5.25227	3.85790012111362	1.39436987888638
155	3.78419	3.49992000402474	0.284269995975265
156	3.97029	3.11208095170735	0.858209048292646
157	2.99573	2.76513545772413	0.230594542275867
158	2.56495	3.22513266100679	-0.660182661006795
159	3.21888	3.18755345026419	0.0313265497358109
160	1.38629	3.69920465410332	-2.31291465410332
161	3.13549	3.31655757826776	-0.181067578267758
162	4.06044	3.45197781141938	0.60846218858062
163	4.27667	3.56042544602430	0.716244553975696
164	3.49651	3.87200987255104	-0.375499872551043
165	3.21888	3.42536076953830	-0.206480769538296
166	4.07754	3.45195738506421	0.62558261493579
167	4.20469	3.02211576361082	1.18257423638918
168	4.18965	3.06929365718400	1.12035634281600
169	2.48491	3.49991806693173	-1.01500806693173
170	1.09861	3.01901122926141	-1.92040122926141
171	2.48491	3.41237827926239	-0.927468279262386
172	2.48491	3.54566220961134	-1.06075220961134
173	0.69315	3.52008422041535	-2.82693422041535
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474	3.29584	3.85740656023556	-0.561566560235555
475	3.17805	3.43283474834439	-0.254784748344390
476	4.06044	2.92509897026089	1.13534102973911
477	4.15888	3.12885884248724	1.03002115751276
478	3.09104	2.82286203944694	0.268177960553062
479	4.41884	3.86538791053739	0.553452089462615
480	2.89037	3.29214562722978	-0.401775627229782
481	1.09861	2.37901076491087	-1.28040076491087
482	3.43399	3.35844070296421	0.0755492970357948
483	3.52636	3.62522987423169	-0.0988698742316937
484	3.13549	3.31501002438850	-0.179520024388505
485	2.19722	3.44595453258393	-1.24873453258393
486	3.13549	3.62415604710286	-0.48866604710286
487	2.07944	2.86074691608603	-0.78130691608603
488	3.63759	2.72584304572836	0.911746954271641
489	3.73767	3.08908507595247	0.648584924047529
490	2.48491	2.89805608950403	-0.413146089504025
491	1.94591	2.73578439580118	-0.789874395801181
492	1.94591	3.05520170354835	-1.10929170354835
493	2.77259	2.58443071210413	0.188159287895875
494	2.70805	3.33699030109203	-0.628940301092035
495	1.79176	2.56218100739247	-0.770421007392468
496	2.30259	2.90502961310921	-0.602439613109213
497	4.11087	3.71900654193257	0.391863458067428
498	3.4012	3.20543216101029	0.195767838989705
499	3.68888	3.29917339452086	0.389706605479139
500	4.17439	3.86428563132368	0.310104368676324

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 3.66356 & 3.37261426571013 & 0.290945734289873 \tabularnewline
2 & 3.04452 & 3.50306895475311 & -0.458548954753114 \tabularnewline
3 & 3.71357 & 2.37568628646686 & 1.33788371353314 \tabularnewline
4 & 2.94444 & 3.41951419038747 & -0.475074190387474 \tabularnewline
5 & 4.06044 & 3.20243345624646 & 0.858006543753539 \tabularnewline
6 & 3.68888 & 3.55924890571656 & 0.129631094283437 \tabularnewline
7 & 3.3322 & 3.61293695418916 & -0.280736954189165 \tabularnewline
8 & 3.3673 & 2.87561372632352 & 0.491686273676484 \tabularnewline
9 & 2.07944 & 3.29798836148575 & -1.21854836148575 \tabularnewline
10 & 1.94591 & 3.32978854546934 & -1.38387854546934 \tabularnewline
11 & 3.3322 & 2.78979079520823 & 0.542409204791772 \tabularnewline
12 & 3.21888 & 3.64284073940617 & -0.423960739406167 \tabularnewline
13 & 1.09861 & 2.19303410177854 & -1.09442410177854 \tabularnewline
14 & 5.3845 & 3.07042292786537 & 2.31407707213463 \tabularnewline
15 & 3.93183 & 3.64670267576235 & 0.285127324237649 \tabularnewline
16 & 3.3673 & 2.94512018964818 & 0.422179810351821 \tabularnewline
17 & 2.83321 & 3.63824666852882 & -0.80503666852882 \tabularnewline
18 & 3.04452 & 3.30232602497507 & -0.257806024975069 \tabularnewline
19 & 2.99573 & 2.80423590132949 & 0.191494098670508 \tabularnewline
20 & 4.21951 & 3.64169860842918 & 0.577811391570822 \tabularnewline
21 & 3.04452 & 3.62580209028985 & -0.58128209028985 \tabularnewline
22 & 3.7612 & 3.62427460808425 & 0.136925391915750 \tabularnewline
23 & 3.58352 & 3.62846405430732 & -0.044944054307317 \tabularnewline
24 & 2.48491 & 3.35105241254369 & -0.866142412543689 \tabularnewline
25 & 2.48491 & 3.69983193987672 & -1.21492193987672 \tabularnewline
26 & 3.3322 & 3.46820476803507 & -0.136004768035075 \tabularnewline
27 & 3.13549 & 3.69671616846449 & -0.561226168464492 \tabularnewline
28 & 2.07944 & 3.30199883611252 & -1.22255883611252 \tabularnewline
29 & 3.68888 & 3.0501825122178 & 0.6386974877822 \tabularnewline
30 & 2.99573 & 2.3133446760978 & 0.682385323902202 \tabularnewline
31 & 3.98898 & 3.54986153100004 & 0.439118468999958 \tabularnewline
32 & 3.04452 & 3.05399385879268 & -0.00947385879267545 \tabularnewline
33 & 3.55535 & 3.53579275131524 & 0.0195572486847613 \tabularnewline
34 & 1.79176 & 3.18885260944478 & -1.39709260944478 \tabularnewline
35 & 3.04452 & 2.74102374210171 & 0.303496257898288 \tabularnewline
36 & 2.56495 & 3.56518223106331 & -1.00023223106331 \tabularnewline
37 & 4.36945 & 3.59079890549621 & 0.778651094503793 \tabularnewline
38 & 3.46574 & 3.3718274832979 & 0.0939125167021008 \tabularnewline
39 & 4.60517 & 3.38894391089748 & 1.21622608910252 \tabularnewline
40 & 3.09104 & 3.21798961453139 & -0.126949614531385 \tabularnewline
41 & 4.15888 & 3.43532026341395 & 0.72355973658605 \tabularnewline
42 & 1.79176 & 3.23238567361750 & -1.44062567361750 \tabularnewline
43 & 2.48491 & 3.34875621972375 & -0.863846219723751 \tabularnewline
44 & 3.21888 & 3.36946155975178 & -0.150581559751777 \tabularnewline
45 & 3.73767 & 3.29237737464006 & 0.445292625359943 \tabularnewline
46 & 4.2485 & 3.18914827127870 & 1.05935172872130 \tabularnewline
47 & 3.8712 & 2.83860884400759 & 1.03259115599241 \tabularnewline
48 & 4.00733 & 3.42311006313825 & 0.584219936861753 \tabularnewline
49 & 2.94444 & 2.84789235602249 & 0.096547643977513 \tabularnewline
50 & 3.09104 & 2.17225556625099 & 0.918784433749007 \tabularnewline
51 & 1.94591 & 2.54677682585091 & -0.600866825850913 \tabularnewline
52 & 3.52636 & 3.41608018391302 & 0.110279816086979 \tabularnewline
53 & 3.8712 & 3.56754866186391 & 0.303651338136093 \tabularnewline
54 & 2.99573 & 3.56120317272594 & -0.565473172725938 \tabularnewline
55 & 4.07754 & 3.68208976596850 & 0.395450234031496 \tabularnewline
56 & 3.21888 & 3.36135748926800 & -0.142477489268004 \tabularnewline
57 & 3.49651 & 3.53222673309843 & -0.0357167330984298 \tabularnewline
58 & 3.2581 & 2.57777906944691 & 0.680320930553086 \tabularnewline
59 & 2.99573 & 3.39807901302201 & -0.402349013022008 \tabularnewline
60 & 2.70805 & 3.17136249222854 & -0.463312492228538 \tabularnewline
61 & 3.09104 & 3.25736393858322 & -0.166323938583223 \tabularnewline
62 & 4.06044 & 3.60022763179766 & 0.460212368202338 \tabularnewline
63 & 3.61092 & 3.61769077435327 & -0.00677077435327486 \tabularnewline
64 & 2.56495 & 3.10147583831473 & -0.536525838314729 \tabularnewline
65 & 1.60944 & 3.03934574483264 & -1.42990574483264 \tabularnewline
66 & 5.0876 & 3.71171904579472 & 1.37588095420528 \tabularnewline
67 & 2.30259 & 3.28942028862513 & -0.986830288625135 \tabularnewline
68 & 3.2581 & 3.42798031550935 & -0.169880315509354 \tabularnewline
69 & 3.66356 & 3.30340568272434 & 0.360154317275656 \tabularnewline
70 & 3.04452 & 3.57192815051480 & -0.527408150514795 \tabularnewline
71 & 3.4012 & 3.45867816293088 & -0.0574781629308787 \tabularnewline
72 & 3.04452 & 3.05480961651745 & -0.0102896165174459 \tabularnewline
73 & 3.4012 & 3.79764439379578 & -0.396444393795776 \tabularnewline
74 & 3.55535 & 3.12978992432364 & 0.425560075676362 \tabularnewline
75 & 3.97029 & 3.72606697964271 & 0.24422302035729 \tabularnewline
76 & 4.72739 & 3.31252425066683 & 1.41486574933317 \tabularnewline
77 & 4.30407 & 3.29314121550153 & 1.01092878449847 \tabularnewline
78 & 2.56495 & 3.21273119633899 & -0.64778119633899 \tabularnewline
79 & 3.78419 & 3.24707062930082 & 0.537119370699184 \tabularnewline
80 & 4.95583 & 3.29440468136066 & 1.66142531863934 \tabularnewline
81 & 3.66356 & 3.35104770918684 & 0.312512290813165 \tabularnewline
82 & 5.26786 & 3.50613722167475 & 1.76172277832525 \tabularnewline
83 & 3.46574 & 2.73550555644094 & 0.730234443559064 \tabularnewline
84 & 2.07944 & 2.89747885297113 & -0.818038852971127 \tabularnewline
85 & 3.3673 & 3.52903123987403 & -0.161731239874031 \tabularnewline
86 & 3.29584 & 3.47118772696543 & -0.175347726965426 \tabularnewline
87 & 2.19722 & 3.32627529947194 & -1.12905529947194 \tabularnewline
88 & 3.43399 & 3.76672374585954 & -0.332733745859536 \tabularnewline
89 & 3.2581 & 3.52710921074039 & -0.269009210740386 \tabularnewline
90 & 2.83321 & 3.20288407169552 & -0.369674071695523 \tabularnewline
91 & 3.63759 & 3.98739749215343 & -0.349807492153426 \tabularnewline
92 & 2.70805 & 3.10824645950444 & -0.400196459504444 \tabularnewline
93 & 2.99573 & 3.65257617214376 & -0.656846172143764 \tabularnewline
94 & 4.00733 & 3.76987974451658 & 0.237450255483415 \tabularnewline
95 & 3.43399 & 3.22709958229402 & 0.206890417705977 \tabularnewline
96 & 0.69315 & 3.26748997682473 & -2.57433997682473 \tabularnewline
97 & 3.52636 & 3.60649074219999 & -0.0801307421999939 \tabularnewline
98 & 2.63906 & 3.51250153341184 & -0.873441533411836 \tabularnewline
99 & 1.94591 & 3.45625111662678 & -1.51034111662678 \tabularnewline
100 & 3.71357 & 3.61173017566083 & 0.101839824339168 \tabularnewline
101 & 2.83321 & 3.17955048614001 & -0.346340486140005 \tabularnewline
102 & 3.43399 & 3.44035777504435 & -0.00636777504435337 \tabularnewline
103 & 3.29584 & 3.85679512635679 & -0.560955126356788 \tabularnewline
104 & 3.17805 & 3.47075136328789 & -0.29270136328789 \tabularnewline
105 & 4.81218 & 3.68121077118895 & 1.13096922881105 \tabularnewline
106 & 4.63473 & 3.9182062025476 & 0.716523797452402 \tabularnewline
107 & 3.04452 & 2.82335926606517 & 0.221160733934829 \tabularnewline
108 & 3.8712 & 3.46594817108398 & 0.405251828916016 \tabularnewline
109 & 3.68888 & 3.68460819212117 & 0.0042718078788268 \tabularnewline
110 & 4.33073 & 3.15202587406749 & 1.17870412593251 \tabularnewline
111 & 4.61512 & 3.40470792650623 & 1.21041207349377 \tabularnewline
112 & 4.43082 & 3.04298516105466 & 1.38783483894534 \tabularnewline
113 & 3.4012 & 2.96710772926129 & 0.434092270738706 \tabularnewline
114 & 2.48491 & 3.62585336617278 & -1.14094336617278 \tabularnewline
115 & 3.29584 & 3.78756316872347 & -0.491723168723473 \tabularnewline
116 & 2.94444 & 3.56024859947109 & -0.615808599471088 \tabularnewline
117 & 3.3673 & 3.26218087703616 & 0.105119122963836 \tabularnewline
118 & 2.89037 & 3.27399509585958 & -0.383625095859577 \tabularnewline
119 & 4.90527 & 3.31114496453436 & 1.59412503546564 \tabularnewline
120 & 2.63906 & 3.22086395521298 & -0.581803955212983 \tabularnewline
121 & 3.29584 & 3.28646099545881 & 0.00937900454118726 \tabularnewline
122 & 3.71357 & 3.22622433208720 & 0.487345667912803 \tabularnewline
123 & 4.39445 & 3.80786164856396 & 0.58658835143604 \tabularnewline
124 & 3.82864 & 3.48495007284181 & 0.343689927158195 \tabularnewline
125 & 2.56495 & 2.72179217436529 & -0.15684217436529 \tabularnewline
126 & 3.3322 & 3.45553498145376 & -0.123334981453763 \tabularnewline
127 & 3.13549 & 3.21713274662683 & -0.0816427466268335 \tabularnewline
128 & 0.69315 & 2.95422751802715 & -2.26107751802715 \tabularnewline
129 & 4.00733 & 3.74244855522445 & 0.264881444775547 \tabularnewline
130 & 3.2581 & 2.96733059008503 & 0.290769409914967 \tabularnewline
131 & 3.2581 & 3.20981584094257 & 0.0482841590574256 \tabularnewline
132 & 4.84419 & 3.84374396145869 & 1.00044603854131 \tabularnewline
133 & 2.63906 & 2.77648598040609 & -0.137425980406094 \tabularnewline
134 & 1.38629 & 2.23318675141557 & -0.84689675141557 \tabularnewline
135 & 3.2581 & 2.95604945071353 & 0.302050549286475 \tabularnewline
136 & 2.30259 & 3.51543013352702 & -1.21284013352702 \tabularnewline
137 & 3.09104 & 2.71980492002587 & 0.371235079974129 \tabularnewline
138 & 2.94444 & 3.04513166109217 & -0.100691661092167 \tabularnewline
139 & 3.4012 & 3.07546365441053 & 0.325736345589467 \tabularnewline
140 & 2.99573 & 2.82670789306411 & 0.169022106935885 \tabularnewline
141 & 3.82864 & 3.24065280199193 & 0.587987198008065 \tabularnewline
142 & 2.30259 & 3.59154331525355 & -1.28895331525355 \tabularnewline
143 & 4.29046 & 3.32165980327959 & 0.96880019672041 \tabularnewline
144 & 4.41884 & 3.61974113627139 & 0.799098863728608 \tabularnewline
145 & 3.3673 & 3.44132677187325 & -0.0740267718732475 \tabularnewline
146 & 2.30259 & 2.27292486406351 & 0.029665135936492 \tabularnewline
147 & 3.98898 & 3.6090269783062 & 0.379953021693802 \tabularnewline
148 & 4.12713 & 2.55485663912379 & 1.57227336087621 \tabularnewline
149 & 3.68888 & 3.11963992631705 & 0.569240073682952 \tabularnewline
150 & 2.30259 & 2.67114060869048 & -0.368550608690480 \tabularnewline
151 & 3.29584 & 3.53610635543966 & -0.240266355439659 \tabularnewline
152 & 3.13549 & 3.18220289103497 & -0.046712891034975 \tabularnewline
153 & 2.07944 & 3.30500190337161 & -1.22556190337161 \tabularnewline
154 & 5.25227 & 3.85790012111362 & 1.39436987888638 \tabularnewline
155 & 3.78419 & 3.49992000402474 & 0.284269995975265 \tabularnewline
156 & 3.97029 & 3.11208095170735 & 0.858209048292646 \tabularnewline
157 & 2.99573 & 2.76513545772413 & 0.230594542275867 \tabularnewline
158 & 2.56495 & 3.22513266100679 & -0.660182661006795 \tabularnewline
159 & 3.21888 & 3.18755345026419 & 0.0313265497358109 \tabularnewline
160 & 1.38629 & 3.69920465410332 & -2.31291465410332 \tabularnewline
161 & 3.13549 & 3.31655757826776 & -0.181067578267758 \tabularnewline
162 & 4.06044 & 3.45197781141938 & 0.60846218858062 \tabularnewline
163 & 4.27667 & 3.56042544602430 & 0.716244553975696 \tabularnewline
164 & 3.49651 & 3.87200987255104 & -0.375499872551043 \tabularnewline
165 & 3.21888 & 3.42536076953830 & -0.206480769538296 \tabularnewline
166 & 4.07754 & 3.45195738506421 & 0.62558261493579 \tabularnewline
167 & 4.20469 & 3.02211576361082 & 1.18257423638918 \tabularnewline
168 & 4.18965 & 3.06929365718400 & 1.12035634281600 \tabularnewline
169 & 2.48491 & 3.49991806693173 & -1.01500806693173 \tabularnewline
170 & 1.09861 & 3.01901122926141 & -1.92040122926141 \tabularnewline
171 & 2.48491 & 3.41237827926239 & -0.927468279262386 \tabularnewline
172 & 2.48491 & 3.54566220961134 & -1.06075220961134 \tabularnewline
173 & 0.69315 & 3.52008422041535 & -2.82693422041535 \tabularnewline
174 & 4.34381 & 3.89245530942895 & 0.451354690571047 \tabularnewline
175 & 2.63906 & 3.51505576036003 & -0.875995760360028 \tabularnewline
176 & 3.29584 & 3.45446810226272 & -0.158628102262721 \tabularnewline
177 & 4.17439 & 3.37749706213737 & 0.796892937862625 \tabularnewline
178 & 3.71357 & 3.94896380444413 & -0.235393804444129 \tabularnewline
179 & 4.02535 & 3.35268518490412 & 0.672664815095884 \tabularnewline
180 & 4.85203 & 3.47091470494862 & 1.38111529505138 \tabularnewline
181 & 4.64439 & 3.28666804150141 & 1.35772195849859 \tabularnewline
182 & 3.63759 & 3.10174141260339 & 0.535848587396606 \tabularnewline
183 & 3.4012 & 3.41722800003298 & -0.0160280000329785 \tabularnewline
184 & 1.79176 & 2.93270644425858 & -1.14094644425858 \tabularnewline
185 & 4.11087 & 3.12757377064339 & 0.983296229356613 \tabularnewline
186 & 3.3673 & 3.63043301189004 & -0.263133011890042 \tabularnewline
187 & 4.44265 & 3.58445718460009 & 0.858192815399908 \tabularnewline
188 & 2.77259 & 3.36651549809148 & -0.593925498091483 \tabularnewline
189 & 3.71357 & 3.34019214629553 & 0.37337785370447 \tabularnewline
190 & 5.17048 & 3.24031409885593 & 1.93016590114407 \tabularnewline
191 & 3.09104 & 3.48253012213513 & -0.391490122135130 \tabularnewline
192 & 2.70805 & 2.79426623249857 & -0.0862162324985663 \tabularnewline
193 & 4.11087 & 3.38841811903960 & 0.722451880960396 \tabularnewline
194 & 4.79579 & 3.64551084136453 & 1.15027915863547 \tabularnewline
195 & 2.3979 & 3.12885297314528 & -0.73095297314528 \tabularnewline
196 & 2.99573 & 2.84894151028301 & 0.146788489716992 \tabularnewline
197 & 3.13549 & 3.39179669448550 & -0.256306694485495 \tabularnewline
198 & 3.43399 & 3.54402226822102 & -0.110032268221020 \tabularnewline
199 & 3.4012 & 3.05688562364058 & 0.344314376359425 \tabularnewline
200 & 3.09104 & 3.76416840035499 & -0.67312840035499 \tabularnewline
201 & 4.45435 & 3.34170794884952 & 1.11264205115048 \tabularnewline
202 & 4.18965 & 3.74568055870844 & 0.443969441291562 \tabularnewline
203 & 3.73767 & 3.57518265740067 & 0.16248734259933 \tabularnewline
204 & 4.20469 & 2.98956187448242 & 1.21512812551758 \tabularnewline
205 & 2.56495 & 2.88262463423447 & -0.317674634234473 \tabularnewline
206 & 2.56495 & 3.14611801411747 & -0.581168014117466 \tabularnewline
207 & 4.85981 & 3.47164866368105 & 1.38816133631895 \tabularnewline
208 & 5.25227 & 2.96804065351769 & 2.28422934648231 \tabularnewline
209 & 2.63906 & 3.15447120314681 & -0.515411203146808 \tabularnewline
210 & 3.13549 & 2.93534338938119 & 0.200146610618805 \tabularnewline
211 & 1.94591 & 3.30540210760479 & -1.35949210760479 \tabularnewline
212 & 3.4012 & 3.1387710030535 & 0.262428996946498 \tabularnewline
213 & 4.72739 & 3.59394509449509 & 1.13344490550491 \tabularnewline
214 & 3.3673 & 2.91536625715423 & 0.451933742845774 \tabularnewline
215 & 3.2581 & 3.57028938248245 & -0.312189382482454 \tabularnewline
216 & 3.73767 & 3.84477804839344 & -0.107108048393443 \tabularnewline
217 & 1.79176 & 3.26229573458224 & -1.47053573458224 \tabularnewline
218 & 4.06044 & 3.25874733601814 & 0.801692663981858 \tabularnewline
219 & 3.91202 & 3.87864765166365 & 0.033372348336351 \tabularnewline
220 & 0.69315 & 3.09984761203875 & -2.40669761203875 \tabularnewline
221 & 1.60944 & 2.76830998158047 & -1.15886998158047 \tabularnewline
222 & 4.46591 & 3.07286059695557 & 1.39304940304443 \tabularnewline
223 & 3.17805 & 3.85132952815137 & -0.673279528151367 \tabularnewline
224 & 2.89037 & 3.36361479632846 & -0.473244796328457 \tabularnewline
225 & 4.17439 & 3.50784736602154 & 0.666542633978463 \tabularnewline
226 & 3.73767 & 3.83702314372922 & -0.0993531437292243 \tabularnewline
227 & 4.00733 & 3.31589296023466 & 0.691437039765342 \tabularnewline
228 & 3.04452 & 3.38864477581191 & -0.344124775811912 \tabularnewline
229 & 2.63906 & 2.91591206032718 & -0.276852060327181 \tabularnewline
230 & 4.11087 & 3.70945984619802 & 0.401410153801976 \tabularnewline
231 & 4.47734 & 3.59195620036844 & 0.885383799631562 \tabularnewline
232 & 3.17805 & 3.33387718691563 & -0.155827186915628 \tabularnewline
233 & 3.3322 & 3.65845838432179 & -0.326258384321794 \tabularnewline
234 & 0.69315 & 2.53247287702073 & -1.83932287702073 \tabularnewline
235 & 4.58497 & 3.6751074314897 & 0.909862568510302 \tabularnewline
236 & 0.69315 & 2.21338236861897 & -1.52023236861897 \tabularnewline
237 & 3.4012 & 3.46809739136932 & -0.0668973913693187 \tabularnewline
238 & 2.07944 & 3.73072312469563 & -1.65128312469563 \tabularnewline
239 & 4.55388 & 3.14304253260818 & 1.41083746739182 \tabularnewline
240 & 3.21888 & 2.85581445694595 & 0.363065543054045 \tabularnewline
241 & 2.77259 & 2.74824547888693 & 0.0243445211130687 \tabularnewline
242 & 3.29584 & 3.11928801460807 & 0.176551985391930 \tabularnewline
243 & 3.3322 & 3.24107267301529 & 0.0911273269847122 \tabularnewline
244 & 4.02535 & 3.5963601689712 & 0.428989831028802 \tabularnewline
245 & 4.38203 & 3.60439833003718 & 0.777631669962816 \tabularnewline
246 & 2.99573 & 2.73885803230002 & 0.256871967699979 \tabularnewline
247 & 3.55535 & 3.19680152358694 & 0.358548476413056 \tabularnewline
248 & 3.2581 & 3.40713507974006 & -0.149035079740058 \tabularnewline
249 & 4.47734 & 3.77579605030257 & 0.701543949697426 \tabularnewline
250 & 4.06044 & 2.90998931146505 & 1.15045068853495 \tabularnewline
251 & 3.21888 & 3.40237469288508 & -0.183494692885082 \tabularnewline
252 & 4.46591 & 3.35773106649896 & 1.10817893350104 \tabularnewline
253 & 3.13549 & 3.0818242483842 & 0.0536657516157972 \tabularnewline
254 & 2.30259 & 2.28976694588200 & 0.0128230541180041 \tabularnewline
255 & 3.61092 & 3.45039163222534 & 0.160528367774661 \tabularnewline
256 & 3.13549 & 3.18414121794353 & -0.0486512179435268 \tabularnewline
257 & 3.89182 & 3.87990114596708 & 0.0119188540329179 \tabularnewline
258 & 3.21888 & 3.46388506647288 & -0.245005066472879 \tabularnewline
259 & 3.17805 & 2.4833051318649 & 0.694744868135099 \tabularnewline
260 & 3.73767 & 3.63722936985765 & 0.100440630142353 \tabularnewline
261 & 2.3979 & 3.47157306683045 & -1.07367306683045 \tabularnewline
262 & 3.68888 & 3.8858245038922 & -0.196944503892202 \tabularnewline
263 & 4.26268 & 3.55849175130938 & 0.704188248690617 \tabularnewline
264 & 4.94164 & 3.74622735476612 & 1.19541264523388 \tabularnewline
265 & 3.29584 & 3.44495951226678 & -0.149119512266777 \tabularnewline
266 & 2.07944 & 2.79794311257719 & -0.718503112577186 \tabularnewline
267 & 2.19722 & 3.50945394456123 & -1.31223394456123 \tabularnewline
268 & 2.07944 & 2.96776511047247 & -0.888325110472475 \tabularnewline
269 & 4.54329 & 3.3589835855812 & 1.18430641441880 \tabularnewline
270 & 2.07944 & 3.60490037447673 & -1.52546037447673 \tabularnewline
271 & 4.36945 & 3.55344750893982 & 0.816002491060177 \tabularnewline
272 & 3.97029 & 3.53324027621657 & 0.437049723783434 \tabularnewline
273 & 3.98898 & 3.19942667637309 & 0.789553323626913 \tabularnewline
274 & 2.99573 & 3.01965451823610 & -0.0239245182360963 \tabularnewline
275 & 3.52636 & 3.18359022104522 & 0.342769778954779 \tabularnewline
276 & 2.99573 & 3.51310527158511 & -0.517375271585115 \tabularnewline
277 & 5.39363 & 3.09556634648576 & 2.29806365351424 \tabularnewline
278 & 3.63759 & 3.378744479772 & 0.258845520228003 \tabularnewline
279 & 2.30259 & 2.72578524862604 & -0.423195248626043 \tabularnewline
280 & 4.92725 & 3.86044556970327 & 1.06680443029673 \tabularnewline
281 & 2.94444 & 3.36782069053123 & -0.423380690531226 \tabularnewline
282 & 2.70805 & 3.44401939192998 & -0.735969391929975 \tabularnewline
283 & 2.07944 & 3.6648804906697 & -1.5854404906697 \tabularnewline
284 & 3.4012 & 3.53779933786704 & -0.136599337867040 \tabularnewline
285 & 5.05625 & 3.57095684854471 & 1.48529315145529 \tabularnewline
286 & 4.93447 & 3.61747595334579 & 1.31699404665421 \tabularnewline
287 & 2.56495 & 3.38626058525621 & -0.82131058525621 \tabularnewline
288 & 3.04452 & 3.73532513036665 & -0.690805130366649 \tabularnewline
289 & 1.38629 & 2.34345979015862 & -0.957169790158617 \tabularnewline
290 & 2.77259 & 2.73507996829079 & 0.0375100317092106 \tabularnewline
291 & 3.91202 & 2.87482671722474 & 1.03719328277526 \tabularnewline
292 & 4.35671 & 3.80606588836221 & 0.550644111637788 \tabularnewline
293 & 3.4012 & 3.73265323056083 & -0.331453230560835 \tabularnewline
294 & 4.02535 & 3.36372111884689 & 0.661628881153114 \tabularnewline
295 & 3.73767 & 3.42030794703106 & 0.317362052968945 \tabularnewline
296 & 2.94444 & 3.54024220252199 & -0.595802202521985 \tabularnewline
297 & 4.09434 & 3.02009180954923 & 1.07424819045077 \tabularnewline
298 & 3.04452 & 2.87895880867036 & 0.165561191329637 \tabularnewline
299 & 3.17805 & 3.47056757466464 & -0.292517574664637 \tabularnewline
300 & 2.56495 & 3.33886314847782 & -0.773913148477817 \tabularnewline
301 & 2.63906 & 2.91960574434736 & -0.280545744347357 \tabularnewline
302 & 3.09104 & 3.59005653632993 & -0.499016536329931 \tabularnewline
303 & 3.4012 & 3.48990350143054 & -0.0887035014305428 \tabularnewline
304 & 2.19722 & 2.48811916981161 & -0.290899169811611 \tabularnewline
305 & 3.7612 & 2.84181828535138 & 0.91938171464862 \tabularnewline
306 & 2.77259 & 3.16853835514919 & -0.395948355149190 \tabularnewline
307 & 3.4012 & 2.63184625737137 & 0.76935374262863 \tabularnewline
308 & 3.61092 & 3.04692072980805 & 0.56399927019195 \tabularnewline
309 & 3.3673 & 3.11385988718204 & 0.253440112817957 \tabularnewline
310 & 0.69315 & 2.46085594320395 & -1.76770594320395 \tabularnewline
311 & 2.94444 & 2.77886967312229 & 0.165570326877707 \tabularnewline
312 & 4.17439 & 3.63755894777799 & 0.53683105222201 \tabularnewline
313 & 2.83321 & 3.45616061173866 & -0.622950611738659 \tabularnewline
314 & 3.04452 & 2.9921692997279 & 0.0523507002720995 \tabularnewline
315 & 3.2581 & 3.46928795598689 & -0.211187955986893 \tabularnewline
316 & 3.21888 & 3.05000797554392 & 0.168872024456084 \tabularnewline
317 & 4.23411 & 3.61991219031213 & 0.614197809687874 \tabularnewline
318 & 4.81218 & 3.46568272254145 & 1.34649727745855 \tabularnewline
319 & 4.39445 & 3.31692535901467 & 1.07752464098533 \tabularnewline
320 & 2.63906 & 2.91583643434338 & -0.276776434343378 \tabularnewline
321 & 3.2581 & 3.53811395851495 & -0.280013958514945 \tabularnewline
322 & 1.94591 & 2.98473263302033 & -1.03882263302033 \tabularnewline
323 & 2.94444 & 3.19136326112840 & -0.246923261128403 \tabularnewline
324 & 2.56495 & 3.18809779470572 & -0.623147794705718 \tabularnewline
325 & 3.21888 & 2.89056626293482 & 0.32831373706518 \tabularnewline
326 & 2.77259 & 3.33560476844357 & -0.563014768443572 \tabularnewline
327 & 4.61512 & 3.42512548315791 & 1.18999451684209 \tabularnewline
328 & 1.60944 & 2.62824745753836 & -1.01880745753836 \tabularnewline
329 & 2.07944 & 2.67828919544767 & -0.598849195447675 \tabularnewline
330 & 3.8712 & 3.06531116401529 & 0.805888835984706 \tabularnewline
331 & 3.17805 & 3.61782136671866 & -0.439771366718657 \tabularnewline
332 & 3.58352 & 3.37862536151626 & 0.204894638483739 \tabularnewline
333 & 4.68213 & 3.53859170203875 & 1.14353829796125 \tabularnewline
334 & 2.56495 & 3.30455238670421 & -0.739602386704215 \tabularnewline
335 & 2.30259 & 2.89932758781601 & -0.596737587816005 \tabularnewline
336 & 3.55535 & 3.61577129342301 & -0.0604212934230136 \tabularnewline
337 & 3.46574 & 3.32783858077353 & 0.137901419226468 \tabularnewline
338 & 2.48491 & 3.53050067640921 & -1.04559067640921 \tabularnewline
339 & 4.21951 & 2.84393568742139 & 1.37557431257861 \tabularnewline
340 & 2.30259 & 3.06793830809078 & -0.765348308090777 \tabularnewline
341 & 2.70805 & 3.27916028290452 & -0.571110282904518 \tabularnewline
342 & 2.99573 & 3.61195291750201 & -0.616222917502008 \tabularnewline
343 & 2.48491 & 2.91509351899604 & -0.430183518996036 \tabularnewline
344 & 3.13549 & 3.76566156879092 & -0.630171568790923 \tabularnewline
345 & 4.15888 & 3.51809379061886 & 0.640786209381135 \tabularnewline
346 & 1.79176 & 3.08842838214483 & -1.29666838214483 \tabularnewline
347 & 3.29584 & 3.57106790341297 & -0.275227903412971 \tabularnewline
348 & 2.83321 & 2.97933052148152 & -0.146120521481521 \tabularnewline
349 & 3.52636 & 2.58509567496793 & 0.941264325032071 \tabularnewline
350 & 3.2581 & 2.47394107243383 & 0.78415892756617 \tabularnewline
351 & 3.98898 & 3.00676663483083 & 0.98221336516917 \tabularnewline
352 & 1.60944 & 3.20175919424339 & -1.59231919424339 \tabularnewline
353 & 3.49651 & 3.56940508389629 & -0.07289508389629 \tabularnewline
354 & 3.17805 & 3.2738144414727 & -0.0957644414727009 \tabularnewline
355 & 4.67283 & 3.48056509130743 & 1.19226490869257 \tabularnewline
356 & 3.43399 & 3.1737909303386 & 0.260199069661398 \tabularnewline
357 & 2.07944 & 3.42534767321138 & -1.34590767321138 \tabularnewline
358 & 3.29584 & 3.73126562718545 & -0.435425627185452 \tabularnewline
359 & 2.30259 & 3.02360410325715 & -0.72101410325715 \tabularnewline
360 & 2.07944 & 2.67056556703633 & -0.591125567036331 \tabularnewline
361 & 0.69315 & 2.37032725207314 & -1.67717725207314 \tabularnewline
362 & 3.13549 & 3.31903324599046 & -0.183543245990462 \tabularnewline
363 & 3.82864 & 3.56350062585105 & 0.265139374148952 \tabularnewline
364 & 3.8712 & 3.75186713529961 & 0.119332864700386 \tabularnewline
365 & 2.99573 & 2.4506887317198 & 0.545041268280201 \tabularnewline
366 & 3.2581 & 3.64341278411419 & -0.385312784114188 \tabularnewline
367 & 3.3322 & 3.43219574328557 & -0.0999957432855654 \tabularnewline
368 & 3.49651 & 3.44777294999203 & 0.0487370500079716 \tabularnewline
369 & 1.94591 & 3.17214609507099 & -1.22623609507099 \tabularnewline
370 & 4.57471 & 3.66935833958523 & 0.905351660414767 \tabularnewline
371 & 3.91202 & 3.39749527589132 & 0.51452472410868 \tabularnewline
372 & 3.80666 & 3.27894843589344 & 0.527711564106561 \tabularnewline
373 & 3.93183 & 2.52884549782651 & 1.40298450217349 \tabularnewline
374 & 2.48491 & 2.59643316267624 & -0.111523162676243 \tabularnewline
375 & 3.13549 & 3.28696095151434 & -0.151470951514336 \tabularnewline
376 & 2.94444 & 3.41564011210053 & -0.471200112100534 \tabularnewline
377 & 3.4012 & 3.63496278204376 & -0.233762782043763 \tabularnewline
378 & 1.94591 & 2.69462238074212 & -0.748712380742118 \tabularnewline
379 & 3.17805 & 2.83803469946914 & 0.340015300530859 \tabularnewline
380 & 3.21888 & 3.15282639908879 & 0.0660536009112145 \tabularnewline
381 & 2.63906 & 3.11955718077200 & -0.480497180771996 \tabularnewline
382 & 3.3322 & 3.40883946342121 & -0.0766394634212073 \tabularnewline
383 & 2.70805 & 2.47278292817015 & 0.235267071829852 \tabularnewline
384 & 3.78419 & 3.45654244966306 & 0.327647550336942 \tabularnewline
385 & 3.78419 & 3.61515287343302 & 0.169037126566983 \tabularnewline
386 & 1.60944 & 3.54654470375942 & -1.93710470375942 \tabularnewline
387 & 3.3673 & 3.4791420663459 & -0.111842066345897 \tabularnewline
388 & 3.04452 & 2.77713116683005 & 0.267388833169953 \tabularnewline
389 & 4.45435 & 3.47622135628151 & 0.978128643718488 \tabularnewline
390 & 1.94591 & 2.94849255233157 & -1.00258255233157 \tabularnewline
391 & 2.63906 & 2.61799974893890 & 0.0210602510610969 \tabularnewline
392 & 3.3322 & 3.49141205082772 & -0.159212050827723 \tabularnewline
393 & 3.43399 & 2.77689272714344 & 0.65709727285656 \tabularnewline
394 & 3.89182 & 3.20837636334211 & 0.683443636657885 \tabularnewline
395 & 2.19722 & 3.54307248651152 & -1.34585248651152 \tabularnewline
396 & 4.59512 & 3.35122860112076 & 1.24389139887924 \tabularnewline
397 & 3.49651 & 2.99134180021268 & 0.505168199787321 \tabularnewline
398 & 2.83321 & 3.37172585727866 & -0.538515857278663 \tabularnewline
399 & 2.19722 & 3.15251209784754 & -0.955292097847535 \tabularnewline
400 & 2.89037 & 2.94266467639002 & -0.0522946763900218 \tabularnewline
401 & 3.4012 & 3.49608684920465 & -0.0948868492046484 \tabularnewline
402 & 2.99573 & 3.12206817900645 & -0.126338179006452 \tabularnewline
403 & 3.73767 & 3.51182460295778 & 0.225845397042217 \tabularnewline
404 & 2.94444 & 2.83114779272358 & 0.113292207276419 \tabularnewline
405 & 3.58352 & 3.64862755672633 & -0.0651075567263265 \tabularnewline
406 & 3.29584 & 3.48668499612859 & -0.190844996128589 \tabularnewline
407 & 4.8752 & 3.49046690907261 & 1.38473309092739 \tabularnewline
408 & 4.33073 & 3.57479352532751 & 0.755936474672493 \tabularnewline
409 & 3.29584 & 3.38887690466521 & -0.0930369046652127 \tabularnewline
410 & 3.78419 & 3.57797473575513 & 0.206215264244874 \tabularnewline
411 & 3.61092 & 2.49423764620803 & 1.11668235379197 \tabularnewline
412 & 2.83321 & 3.15160703205219 & -0.318397032052192 \tabularnewline
413 & 3.7612 & 3.07228684813963 & 0.688913151860374 \tabularnewline
414 & 3.58352 & 2.87821387359292 & 0.70530612640708 \tabularnewline
415 & 3.17805 & 2.79537375132831 & 0.382676248671688 \tabularnewline
416 & 3.52636 & 2.86117025718982 & 0.66518974281018 \tabularnewline
417 & 4.21951 & 3.52810028848623 & 0.69140971151377 \tabularnewline
418 & 3.93183 & 3.54716990417114 & 0.384660095828861 \tabularnewline
419 & 2.30259 & 2.84336056223226 & -0.540770562232265 \tabularnewline
420 & 3.2581 & 2.72079321547499 & 0.537306784525005 \tabularnewline
421 & 2.70805 & 3.30112752473515 & -0.593077524735149 \tabularnewline
422 & 3.55535 & 2.79997917462219 & 0.75537082537781 \tabularnewline
423 & 1.94591 & 2.93313267202192 & -0.987222672021918 \tabularnewline
424 & 4.36945 & 2.82239663514964 & 1.54705336485036 \tabularnewline
425 & 4.70048 & 3.11370927526001 & 1.58677072473999 \tabularnewline
426 & 2.48491 & 2.81552250156380 & -0.330612501563804 \tabularnewline
427 & 1.60944 & 3.15775357841319 & -1.54831357841319 \tabularnewline
428 & 3.78419 & 3.74704791084165 & 0.0371420891583493 \tabularnewline
429 & 1.94591 & 2.55061452509379 & -0.60470452509379 \tabularnewline
430 & 3.09104 & 3.7084938789866 & -0.617453878986601 \tabularnewline
431 & 3.21888 & 3.32984884315862 & -0.110968843158616 \tabularnewline
432 & 2.48491 & 3.39322551571586 & -0.90831551571586 \tabularnewline
433 & 2.19722 & 2.96938244534641 & -0.77216244534641 \tabularnewline
434 & 4.93447 & 3.53937891282213 & 1.39509108717787 \tabularnewline
435 & 4.04305 & 3.53392128738162 & 0.509128712618379 \tabularnewline
436 & 4.51086 & 3.71909137892365 & 0.791768621076354 \tabularnewline
437 & 1.94591 & 2.19447016692617 & -0.248560166926170 \tabularnewline
438 & 3.09104 & 3.88573643322791 & -0.794696433227908 \tabularnewline
439 & 4.60517 & 3.54852259177420 & 1.05664740822580 \tabularnewline
440 & 3.63759 & 3.14475302587045 & 0.492836974129546 \tabularnewline
441 & 3.46574 & 3.42390229430193 & 0.041837705698065 \tabularnewline
442 & 3.8712 & 3.91048373197228 & -0.0392837319722808 \tabularnewline
443 & 5.15329 & 3.66717830323186 & 1.48611169676814 \tabularnewline
444 & 3.04452 & 3.39705155237952 & -0.352531552379522 \tabularnewline
445 & 3.49651 & 3.65021537334007 & -0.153705373340071 \tabularnewline
446 & 2.56495 & 2.5635298963074 & 0.00142010369260253 \tabularnewline
447 & 3.85015 & 3.45404668388003 & 0.396103316119968 \tabularnewline
448 & 2.48491 & 2.73835408192363 & -0.253444081923633 \tabularnewline
449 & 2.07944 & 3.29977088289596 & -1.22033088289596 \tabularnewline
450 & 2.99573 & 3.71433728451629 & -0.718607284516291 \tabularnewline
451 & 1.38629 & 3.08948811659787 & -1.70319811659787 \tabularnewline
452 & 3.17805 & 3.56443769859199 & -0.386387698591988 \tabularnewline
453 & 2.19722 & 2.65871731878204 & -0.461497318782044 \tabularnewline
454 & 3.55535 & 3.59370944540704 & -0.0383594454070413 \tabularnewline
455 & 3.8712 & 3.75087940926709 & 0.120320590732908 \tabularnewline
456 & 3.4012 & 3.48384246311578 & -0.0826424631157822 \tabularnewline
457 & 3.04452 & 3.44368293686847 & -0.399162936868474 \tabularnewline
458 & 4.34381 & 3.34519447424815 & 0.998615525751849 \tabularnewline
459 & 2.3979 & 3.06154402687230 & -0.663644026872297 \tabularnewline
460 & 2.63906 & 3.53103595518752 & -0.891975955187524 \tabularnewline
461 & 2.56495 & 2.73979857701213 & -0.174848577012134 \tabularnewline
462 & 3.3322 & 2.69541242322991 & 0.636787576770086 \tabularnewline
463 & 2.56495 & 3.53920119566180 & -0.974251195661796 \tabularnewline
464 & 3.68888 & 3.22405959413498 & 0.46482040586502 \tabularnewline
465 & 2.3979 & 3.56369759058502 & -1.16579759058502 \tabularnewline
466 & 2.3979 & 2.81956257297870 & -0.421662572978696 \tabularnewline
467 & 4.68213 & 3.81155065543755 & 0.870579344562446 \tabularnewline
468 & 3.04452 & 3.51189661651613 & -0.467376616516134 \tabularnewline
469 & 3.04452 & 3.41196351434744 & -0.36744351434744 \tabularnewline
470 & 2.19722 & 2.42592485820441 & -0.228704858204410 \tabularnewline
471 & 3.17805 & 3.55127830022768 & -0.373228300227675 \tabularnewline
472 & 4.48864 & 3.70027426080182 & 0.788365739198184 \tabularnewline
473 & 2.30259 & 3.53318113150615 & -1.23059113150615 \tabularnewline
474 & 3.29584 & 3.85740656023556 & -0.561566560235555 \tabularnewline
475 & 3.17805 & 3.43283474834439 & -0.254784748344390 \tabularnewline
476 & 4.06044 & 2.92509897026089 & 1.13534102973911 \tabularnewline
477 & 4.15888 & 3.12885884248724 & 1.03002115751276 \tabularnewline
478 & 3.09104 & 2.82286203944694 & 0.268177960553062 \tabularnewline
479 & 4.41884 & 3.86538791053739 & 0.553452089462615 \tabularnewline
480 & 2.89037 & 3.29214562722978 & -0.401775627229782 \tabularnewline
481 & 1.09861 & 2.37901076491087 & -1.28040076491087 \tabularnewline
482 & 3.43399 & 3.35844070296421 & 0.0755492970357948 \tabularnewline
483 & 3.52636 & 3.62522987423169 & -0.0988698742316937 \tabularnewline
484 & 3.13549 & 3.31501002438850 & -0.179520024388505 \tabularnewline
485 & 2.19722 & 3.44595453258393 & -1.24873453258393 \tabularnewline
486 & 3.13549 & 3.62415604710286 & -0.48866604710286 \tabularnewline
487 & 2.07944 & 2.86074691608603 & -0.78130691608603 \tabularnewline
488 & 3.63759 & 2.72584304572836 & 0.911746954271641 \tabularnewline
489 & 3.73767 & 3.08908507595247 & 0.648584924047529 \tabularnewline
490 & 2.48491 & 2.89805608950403 & -0.413146089504025 \tabularnewline
491 & 1.94591 & 2.73578439580118 & -0.789874395801181 \tabularnewline
492 & 1.94591 & 3.05520170354835 & -1.10929170354835 \tabularnewline
493 & 2.77259 & 2.58443071210413 & 0.188159287895875 \tabularnewline
494 & 2.70805 & 3.33699030109203 & -0.628940301092035 \tabularnewline
495 & 1.79176 & 2.56218100739247 & -0.770421007392468 \tabularnewline
496 & 2.30259 & 2.90502961310921 & -0.602439613109213 \tabularnewline
497 & 4.11087 & 3.71900654193257 & 0.391863458067428 \tabularnewline
498 & 3.4012 & 3.20543216101029 & 0.195767838989705 \tabularnewline
499 & 3.68888 & 3.29917339452086 & 0.389706605479139 \tabularnewline
500 & 4.17439 & 3.86428563132368 & 0.310104368676324 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107657&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]3.66356[/C][C]3.37261426571013[/C][C]0.290945734289873[/C][/ROW]
[ROW][C]2[/C][C]3.04452[/C][C]3.50306895475311[/C][C]-0.458548954753114[/C][/ROW]
[ROW][C]3[/C][C]3.71357[/C][C]2.37568628646686[/C][C]1.33788371353314[/C][/ROW]
[ROW][C]4[/C][C]2.94444[/C][C]3.41951419038747[/C][C]-0.475074190387474[/C][/ROW]
[ROW][C]5[/C][C]4.06044[/C][C]3.20243345624646[/C][C]0.858006543753539[/C][/ROW]
[ROW][C]6[/C][C]3.68888[/C][C]3.55924890571656[/C][C]0.129631094283437[/C][/ROW]
[ROW][C]7[/C][C]3.3322[/C][C]3.61293695418916[/C][C]-0.280736954189165[/C][/ROW]
[ROW][C]8[/C][C]3.3673[/C][C]2.87561372632352[/C][C]0.491686273676484[/C][/ROW]
[ROW][C]9[/C][C]2.07944[/C][C]3.29798836148575[/C][C]-1.21854836148575[/C][/ROW]
[ROW][C]10[/C][C]1.94591[/C][C]3.32978854546934[/C][C]-1.38387854546934[/C][/ROW]
[ROW][C]11[/C][C]3.3322[/C][C]2.78979079520823[/C][C]0.542409204791772[/C][/ROW]
[ROW][C]12[/C][C]3.21888[/C][C]3.64284073940617[/C][C]-0.423960739406167[/C][/ROW]
[ROW][C]13[/C][C]1.09861[/C][C]2.19303410177854[/C][C]-1.09442410177854[/C][/ROW]
[ROW][C]14[/C][C]5.3845[/C][C]3.07042292786537[/C][C]2.31407707213463[/C][/ROW]
[ROW][C]15[/C][C]3.93183[/C][C]3.64670267576235[/C][C]0.285127324237649[/C][/ROW]
[ROW][C]16[/C][C]3.3673[/C][C]2.94512018964818[/C][C]0.422179810351821[/C][/ROW]
[ROW][C]17[/C][C]2.83321[/C][C]3.63824666852882[/C][C]-0.80503666852882[/C][/ROW]
[ROW][C]18[/C][C]3.04452[/C][C]3.30232602497507[/C][C]-0.257806024975069[/C][/ROW]
[ROW][C]19[/C][C]2.99573[/C][C]2.80423590132949[/C][C]0.191494098670508[/C][/ROW]
[ROW][C]20[/C][C]4.21951[/C][C]3.64169860842918[/C][C]0.577811391570822[/C][/ROW]
[ROW][C]21[/C][C]3.04452[/C][C]3.62580209028985[/C][C]-0.58128209028985[/C][/ROW]
[ROW][C]22[/C][C]3.7612[/C][C]3.62427460808425[/C][C]0.136925391915750[/C][/ROW]
[ROW][C]23[/C][C]3.58352[/C][C]3.62846405430732[/C][C]-0.044944054307317[/C][/ROW]
[ROW][C]24[/C][C]2.48491[/C][C]3.35105241254369[/C][C]-0.866142412543689[/C][/ROW]
[ROW][C]25[/C][C]2.48491[/C][C]3.69983193987672[/C][C]-1.21492193987672[/C][/ROW]
[ROW][C]26[/C][C]3.3322[/C][C]3.46820476803507[/C][C]-0.136004768035075[/C][/ROW]
[ROW][C]27[/C][C]3.13549[/C][C]3.69671616846449[/C][C]-0.561226168464492[/C][/ROW]
[ROW][C]28[/C][C]2.07944[/C][C]3.30199883611252[/C][C]-1.22255883611252[/C][/ROW]
[ROW][C]29[/C][C]3.68888[/C][C]3.0501825122178[/C][C]0.6386974877822[/C][/ROW]
[ROW][C]30[/C][C]2.99573[/C][C]2.3133446760978[/C][C]0.682385323902202[/C][/ROW]
[ROW][C]31[/C][C]3.98898[/C][C]3.54986153100004[/C][C]0.439118468999958[/C][/ROW]
[ROW][C]32[/C][C]3.04452[/C][C]3.05399385879268[/C][C]-0.00947385879267545[/C][/ROW]
[ROW][C]33[/C][C]3.55535[/C][C]3.53579275131524[/C][C]0.0195572486847613[/C][/ROW]
[ROW][C]34[/C][C]1.79176[/C][C]3.18885260944478[/C][C]-1.39709260944478[/C][/ROW]
[ROW][C]35[/C][C]3.04452[/C][C]2.74102374210171[/C][C]0.303496257898288[/C][/ROW]
[ROW][C]36[/C][C]2.56495[/C][C]3.56518223106331[/C][C]-1.00023223106331[/C][/ROW]
[ROW][C]37[/C][C]4.36945[/C][C]3.59079890549621[/C][C]0.778651094503793[/C][/ROW]
[ROW][C]38[/C][C]3.46574[/C][C]3.3718274832979[/C][C]0.0939125167021008[/C][/ROW]
[ROW][C]39[/C][C]4.60517[/C][C]3.38894391089748[/C][C]1.21622608910252[/C][/ROW]
[ROW][C]40[/C][C]3.09104[/C][C]3.21798961453139[/C][C]-0.126949614531385[/C][/ROW]
[ROW][C]41[/C][C]4.15888[/C][C]3.43532026341395[/C][C]0.72355973658605[/C][/ROW]
[ROW][C]42[/C][C]1.79176[/C][C]3.23238567361750[/C][C]-1.44062567361750[/C][/ROW]
[ROW][C]43[/C][C]2.48491[/C][C]3.34875621972375[/C][C]-0.863846219723751[/C][/ROW]
[ROW][C]44[/C][C]3.21888[/C][C]3.36946155975178[/C][C]-0.150581559751777[/C][/ROW]
[ROW][C]45[/C][C]3.73767[/C][C]3.29237737464006[/C][C]0.445292625359943[/C][/ROW]
[ROW][C]46[/C][C]4.2485[/C][C]3.18914827127870[/C][C]1.05935172872130[/C][/ROW]
[ROW][C]47[/C][C]3.8712[/C][C]2.83860884400759[/C][C]1.03259115599241[/C][/ROW]
[ROW][C]48[/C][C]4.00733[/C][C]3.42311006313825[/C][C]0.584219936861753[/C][/ROW]
[ROW][C]49[/C][C]2.94444[/C][C]2.84789235602249[/C][C]0.096547643977513[/C][/ROW]
[ROW][C]50[/C][C]3.09104[/C][C]2.17225556625099[/C][C]0.918784433749007[/C][/ROW]
[ROW][C]51[/C][C]1.94591[/C][C]2.54677682585091[/C][C]-0.600866825850913[/C][/ROW]
[ROW][C]52[/C][C]3.52636[/C][C]3.41608018391302[/C][C]0.110279816086979[/C][/ROW]
[ROW][C]53[/C][C]3.8712[/C][C]3.56754866186391[/C][C]0.303651338136093[/C][/ROW]
[ROW][C]54[/C][C]2.99573[/C][C]3.56120317272594[/C][C]-0.565473172725938[/C][/ROW]
[ROW][C]55[/C][C]4.07754[/C][C]3.68208976596850[/C][C]0.395450234031496[/C][/ROW]
[ROW][C]56[/C][C]3.21888[/C][C]3.36135748926800[/C][C]-0.142477489268004[/C][/ROW]
[ROW][C]57[/C][C]3.49651[/C][C]3.53222673309843[/C][C]-0.0357167330984298[/C][/ROW]
[ROW][C]58[/C][C]3.2581[/C][C]2.57777906944691[/C][C]0.680320930553086[/C][/ROW]
[ROW][C]59[/C][C]2.99573[/C][C]3.39807901302201[/C][C]-0.402349013022008[/C][/ROW]
[ROW][C]60[/C][C]2.70805[/C][C]3.17136249222854[/C][C]-0.463312492228538[/C][/ROW]
[ROW][C]61[/C][C]3.09104[/C][C]3.25736393858322[/C][C]-0.166323938583223[/C][/ROW]
[ROW][C]62[/C][C]4.06044[/C][C]3.60022763179766[/C][C]0.460212368202338[/C][/ROW]
[ROW][C]63[/C][C]3.61092[/C][C]3.61769077435327[/C][C]-0.00677077435327486[/C][/ROW]
[ROW][C]64[/C][C]2.56495[/C][C]3.10147583831473[/C][C]-0.536525838314729[/C][/ROW]
[ROW][C]65[/C][C]1.60944[/C][C]3.03934574483264[/C][C]-1.42990574483264[/C][/ROW]
[ROW][C]66[/C][C]5.0876[/C][C]3.71171904579472[/C][C]1.37588095420528[/C][/ROW]
[ROW][C]67[/C][C]2.30259[/C][C]3.28942028862513[/C][C]-0.986830288625135[/C][/ROW]
[ROW][C]68[/C][C]3.2581[/C][C]3.42798031550935[/C][C]-0.169880315509354[/C][/ROW]
[ROW][C]69[/C][C]3.66356[/C][C]3.30340568272434[/C][C]0.360154317275656[/C][/ROW]
[ROW][C]70[/C][C]3.04452[/C][C]3.57192815051480[/C][C]-0.527408150514795[/C][/ROW]
[ROW][C]71[/C][C]3.4012[/C][C]3.45867816293088[/C][C]-0.0574781629308787[/C][/ROW]
[ROW][C]72[/C][C]3.04452[/C][C]3.05480961651745[/C][C]-0.0102896165174459[/C][/ROW]
[ROW][C]73[/C][C]3.4012[/C][C]3.79764439379578[/C][C]-0.396444393795776[/C][/ROW]
[ROW][C]74[/C][C]3.55535[/C][C]3.12978992432364[/C][C]0.425560075676362[/C][/ROW]
[ROW][C]75[/C][C]3.97029[/C][C]3.72606697964271[/C][C]0.24422302035729[/C][/ROW]
[ROW][C]76[/C][C]4.72739[/C][C]3.31252425066683[/C][C]1.41486574933317[/C][/ROW]
[ROW][C]77[/C][C]4.30407[/C][C]3.29314121550153[/C][C]1.01092878449847[/C][/ROW]
[ROW][C]78[/C][C]2.56495[/C][C]3.21273119633899[/C][C]-0.64778119633899[/C][/ROW]
[ROW][C]79[/C][C]3.78419[/C][C]3.24707062930082[/C][C]0.537119370699184[/C][/ROW]
[ROW][C]80[/C][C]4.95583[/C][C]3.29440468136066[/C][C]1.66142531863934[/C][/ROW]
[ROW][C]81[/C][C]3.66356[/C][C]3.35104770918684[/C][C]0.312512290813165[/C][/ROW]
[ROW][C]82[/C][C]5.26786[/C][C]3.50613722167475[/C][C]1.76172277832525[/C][/ROW]
[ROW][C]83[/C][C]3.46574[/C][C]2.73550555644094[/C][C]0.730234443559064[/C][/ROW]
[ROW][C]84[/C][C]2.07944[/C][C]2.89747885297113[/C][C]-0.818038852971127[/C][/ROW]
[ROW][C]85[/C][C]3.3673[/C][C]3.52903123987403[/C][C]-0.161731239874031[/C][/ROW]
[ROW][C]86[/C][C]3.29584[/C][C]3.47118772696543[/C][C]-0.175347726965426[/C][/ROW]
[ROW][C]87[/C][C]2.19722[/C][C]3.32627529947194[/C][C]-1.12905529947194[/C][/ROW]
[ROW][C]88[/C][C]3.43399[/C][C]3.76672374585954[/C][C]-0.332733745859536[/C][/ROW]
[ROW][C]89[/C][C]3.2581[/C][C]3.52710921074039[/C][C]-0.269009210740386[/C][/ROW]
[ROW][C]90[/C][C]2.83321[/C][C]3.20288407169552[/C][C]-0.369674071695523[/C][/ROW]
[ROW][C]91[/C][C]3.63759[/C][C]3.98739749215343[/C][C]-0.349807492153426[/C][/ROW]
[ROW][C]92[/C][C]2.70805[/C][C]3.10824645950444[/C][C]-0.400196459504444[/C][/ROW]
[ROW][C]93[/C][C]2.99573[/C][C]3.65257617214376[/C][C]-0.656846172143764[/C][/ROW]
[ROW][C]94[/C][C]4.00733[/C][C]3.76987974451658[/C][C]0.237450255483415[/C][/ROW]
[ROW][C]95[/C][C]3.43399[/C][C]3.22709958229402[/C][C]0.206890417705977[/C][/ROW]
[ROW][C]96[/C][C]0.69315[/C][C]3.26748997682473[/C][C]-2.57433997682473[/C][/ROW]
[ROW][C]97[/C][C]3.52636[/C][C]3.60649074219999[/C][C]-0.0801307421999939[/C][/ROW]
[ROW][C]98[/C][C]2.63906[/C][C]3.51250153341184[/C][C]-0.873441533411836[/C][/ROW]
[ROW][C]99[/C][C]1.94591[/C][C]3.45625111662678[/C][C]-1.51034111662678[/C][/ROW]
[ROW][C]100[/C][C]3.71357[/C][C]3.61173017566083[/C][C]0.101839824339168[/C][/ROW]
[ROW][C]101[/C][C]2.83321[/C][C]3.17955048614001[/C][C]-0.346340486140005[/C][/ROW]
[ROW][C]102[/C][C]3.43399[/C][C]3.44035777504435[/C][C]-0.00636777504435337[/C][/ROW]
[ROW][C]103[/C][C]3.29584[/C][C]3.85679512635679[/C][C]-0.560955126356788[/C][/ROW]
[ROW][C]104[/C][C]3.17805[/C][C]3.47075136328789[/C][C]-0.29270136328789[/C][/ROW]
[ROW][C]105[/C][C]4.81218[/C][C]3.68121077118895[/C][C]1.13096922881105[/C][/ROW]
[ROW][C]106[/C][C]4.63473[/C][C]3.9182062025476[/C][C]0.716523797452402[/C][/ROW]
[ROW][C]107[/C][C]3.04452[/C][C]2.82335926606517[/C][C]0.221160733934829[/C][/ROW]
[ROW][C]108[/C][C]3.8712[/C][C]3.46594817108398[/C][C]0.405251828916016[/C][/ROW]
[ROW][C]109[/C][C]3.68888[/C][C]3.68460819212117[/C][C]0.0042718078788268[/C][/ROW]
[ROW][C]110[/C][C]4.33073[/C][C]3.15202587406749[/C][C]1.17870412593251[/C][/ROW]
[ROW][C]111[/C][C]4.61512[/C][C]3.40470792650623[/C][C]1.21041207349377[/C][/ROW]
[ROW][C]112[/C][C]4.43082[/C][C]3.04298516105466[/C][C]1.38783483894534[/C][/ROW]
[ROW][C]113[/C][C]3.4012[/C][C]2.96710772926129[/C][C]0.434092270738706[/C][/ROW]
[ROW][C]114[/C][C]2.48491[/C][C]3.62585336617278[/C][C]-1.14094336617278[/C][/ROW]
[ROW][C]115[/C][C]3.29584[/C][C]3.78756316872347[/C][C]-0.491723168723473[/C][/ROW]
[ROW][C]116[/C][C]2.94444[/C][C]3.56024859947109[/C][C]-0.615808599471088[/C][/ROW]
[ROW][C]117[/C][C]3.3673[/C][C]3.26218087703616[/C][C]0.105119122963836[/C][/ROW]
[ROW][C]118[/C][C]2.89037[/C][C]3.27399509585958[/C][C]-0.383625095859577[/C][/ROW]
[ROW][C]119[/C][C]4.90527[/C][C]3.31114496453436[/C][C]1.59412503546564[/C][/ROW]
[ROW][C]120[/C][C]2.63906[/C][C]3.22086395521298[/C][C]-0.581803955212983[/C][/ROW]
[ROW][C]121[/C][C]3.29584[/C][C]3.28646099545881[/C][C]0.00937900454118726[/C][/ROW]
[ROW][C]122[/C][C]3.71357[/C][C]3.22622433208720[/C][C]0.487345667912803[/C][/ROW]
[ROW][C]123[/C][C]4.39445[/C][C]3.80786164856396[/C][C]0.58658835143604[/C][/ROW]
[ROW][C]124[/C][C]3.82864[/C][C]3.48495007284181[/C][C]0.343689927158195[/C][/ROW]
[ROW][C]125[/C][C]2.56495[/C][C]2.72179217436529[/C][C]-0.15684217436529[/C][/ROW]
[ROW][C]126[/C][C]3.3322[/C][C]3.45553498145376[/C][C]-0.123334981453763[/C][/ROW]
[ROW][C]127[/C][C]3.13549[/C][C]3.21713274662683[/C][C]-0.0816427466268335[/C][/ROW]
[ROW][C]128[/C][C]0.69315[/C][C]2.95422751802715[/C][C]-2.26107751802715[/C][/ROW]
[ROW][C]129[/C][C]4.00733[/C][C]3.74244855522445[/C][C]0.264881444775547[/C][/ROW]
[ROW][C]130[/C][C]3.2581[/C][C]2.96733059008503[/C][C]0.290769409914967[/C][/ROW]
[ROW][C]131[/C][C]3.2581[/C][C]3.20981584094257[/C][C]0.0482841590574256[/C][/ROW]
[ROW][C]132[/C][C]4.84419[/C][C]3.84374396145869[/C][C]1.00044603854131[/C][/ROW]
[ROW][C]133[/C][C]2.63906[/C][C]2.77648598040609[/C][C]-0.137425980406094[/C][/ROW]
[ROW][C]134[/C][C]1.38629[/C][C]2.23318675141557[/C][C]-0.84689675141557[/C][/ROW]
[ROW][C]135[/C][C]3.2581[/C][C]2.95604945071353[/C][C]0.302050549286475[/C][/ROW]
[ROW][C]136[/C][C]2.30259[/C][C]3.51543013352702[/C][C]-1.21284013352702[/C][/ROW]
[ROW][C]137[/C][C]3.09104[/C][C]2.71980492002587[/C][C]0.371235079974129[/C][/ROW]
[ROW][C]138[/C][C]2.94444[/C][C]3.04513166109217[/C][C]-0.100691661092167[/C][/ROW]
[ROW][C]139[/C][C]3.4012[/C][C]3.07546365441053[/C][C]0.325736345589467[/C][/ROW]
[ROW][C]140[/C][C]2.99573[/C][C]2.82670789306411[/C][C]0.169022106935885[/C][/ROW]
[ROW][C]141[/C][C]3.82864[/C][C]3.24065280199193[/C][C]0.587987198008065[/C][/ROW]
[ROW][C]142[/C][C]2.30259[/C][C]3.59154331525355[/C][C]-1.28895331525355[/C][/ROW]
[ROW][C]143[/C][C]4.29046[/C][C]3.32165980327959[/C][C]0.96880019672041[/C][/ROW]
[ROW][C]144[/C][C]4.41884[/C][C]3.61974113627139[/C][C]0.799098863728608[/C][/ROW]
[ROW][C]145[/C][C]3.3673[/C][C]3.44132677187325[/C][C]-0.0740267718732475[/C][/ROW]
[ROW][C]146[/C][C]2.30259[/C][C]2.27292486406351[/C][C]0.029665135936492[/C][/ROW]
[ROW][C]147[/C][C]3.98898[/C][C]3.6090269783062[/C][C]0.379953021693802[/C][/ROW]
[ROW][C]148[/C][C]4.12713[/C][C]2.55485663912379[/C][C]1.57227336087621[/C][/ROW]
[ROW][C]149[/C][C]3.68888[/C][C]3.11963992631705[/C][C]0.569240073682952[/C][/ROW]
[ROW][C]150[/C][C]2.30259[/C][C]2.67114060869048[/C][C]-0.368550608690480[/C][/ROW]
[ROW][C]151[/C][C]3.29584[/C][C]3.53610635543966[/C][C]-0.240266355439659[/C][/ROW]
[ROW][C]152[/C][C]3.13549[/C][C]3.18220289103497[/C][C]-0.046712891034975[/C][/ROW]
[ROW][C]153[/C][C]2.07944[/C][C]3.30500190337161[/C][C]-1.22556190337161[/C][/ROW]
[ROW][C]154[/C][C]5.25227[/C][C]3.85790012111362[/C][C]1.39436987888638[/C][/ROW]
[ROW][C]155[/C][C]3.78419[/C][C]3.49992000402474[/C][C]0.284269995975265[/C][/ROW]
[ROW][C]156[/C][C]3.97029[/C][C]3.11208095170735[/C][C]0.858209048292646[/C][/ROW]
[ROW][C]157[/C][C]2.99573[/C][C]2.76513545772413[/C][C]0.230594542275867[/C][/ROW]
[ROW][C]158[/C][C]2.56495[/C][C]3.22513266100679[/C][C]-0.660182661006795[/C][/ROW]
[ROW][C]159[/C][C]3.21888[/C][C]3.18755345026419[/C][C]0.0313265497358109[/C][/ROW]
[ROW][C]160[/C][C]1.38629[/C][C]3.69920465410332[/C][C]-2.31291465410332[/C][/ROW]
[ROW][C]161[/C][C]3.13549[/C][C]3.31655757826776[/C][C]-0.181067578267758[/C][/ROW]
[ROW][C]162[/C][C]4.06044[/C][C]3.45197781141938[/C][C]0.60846218858062[/C][/ROW]
[ROW][C]163[/C][C]4.27667[/C][C]3.56042544602430[/C][C]0.716244553975696[/C][/ROW]
[ROW][C]164[/C][C]3.49651[/C][C]3.87200987255104[/C][C]-0.375499872551043[/C][/ROW]
[ROW][C]165[/C][C]3.21888[/C][C]3.42536076953830[/C][C]-0.206480769538296[/C][/ROW]
[ROW][C]166[/C][C]4.07754[/C][C]3.45195738506421[/C][C]0.62558261493579[/C][/ROW]
[ROW][C]167[/C][C]4.20469[/C][C]3.02211576361082[/C][C]1.18257423638918[/C][/ROW]
[ROW][C]168[/C][C]4.18965[/C][C]3.06929365718400[/C][C]1.12035634281600[/C][/ROW]
[ROW][C]169[/C][C]2.48491[/C][C]3.49991806693173[/C][C]-1.01500806693173[/C][/ROW]
[ROW][C]170[/C][C]1.09861[/C][C]3.01901122926141[/C][C]-1.92040122926141[/C][/ROW]
[ROW][C]171[/C][C]2.48491[/C][C]3.41237827926239[/C][C]-0.927468279262386[/C][/ROW]
[ROW][C]172[/C][C]2.48491[/C][C]3.54566220961134[/C][C]-1.06075220961134[/C][/ROW]
[ROW][C]173[/C][C]0.69315[/C][C]3.52008422041535[/C][C]-2.82693422041535[/C][/ROW]
[ROW][C]174[/C][C]4.34381[/C][C]3.89245530942895[/C][C]0.451354690571047[/C][/ROW]
[ROW][C]175[/C][C]2.63906[/C][C]3.51505576036003[/C][C]-0.875995760360028[/C][/ROW]
[ROW][C]176[/C][C]3.29584[/C][C]3.45446810226272[/C][C]-0.158628102262721[/C][/ROW]
[ROW][C]177[/C][C]4.17439[/C][C]3.37749706213737[/C][C]0.796892937862625[/C][/ROW]
[ROW][C]178[/C][C]3.71357[/C][C]3.94896380444413[/C][C]-0.235393804444129[/C][/ROW]
[ROW][C]179[/C][C]4.02535[/C][C]3.35268518490412[/C][C]0.672664815095884[/C][/ROW]
[ROW][C]180[/C][C]4.85203[/C][C]3.47091470494862[/C][C]1.38111529505138[/C][/ROW]
[ROW][C]181[/C][C]4.64439[/C][C]3.28666804150141[/C][C]1.35772195849859[/C][/ROW]
[ROW][C]182[/C][C]3.63759[/C][C]3.10174141260339[/C][C]0.535848587396606[/C][/ROW]
[ROW][C]183[/C][C]3.4012[/C][C]3.41722800003298[/C][C]-0.0160280000329785[/C][/ROW]
[ROW][C]184[/C][C]1.79176[/C][C]2.93270644425858[/C][C]-1.14094644425858[/C][/ROW]
[ROW][C]185[/C][C]4.11087[/C][C]3.12757377064339[/C][C]0.983296229356613[/C][/ROW]
[ROW][C]186[/C][C]3.3673[/C][C]3.63043301189004[/C][C]-0.263133011890042[/C][/ROW]
[ROW][C]187[/C][C]4.44265[/C][C]3.58445718460009[/C][C]0.858192815399908[/C][/ROW]
[ROW][C]188[/C][C]2.77259[/C][C]3.36651549809148[/C][C]-0.593925498091483[/C][/ROW]
[ROW][C]189[/C][C]3.71357[/C][C]3.34019214629553[/C][C]0.37337785370447[/C][/ROW]
[ROW][C]190[/C][C]5.17048[/C][C]3.24031409885593[/C][C]1.93016590114407[/C][/ROW]
[ROW][C]191[/C][C]3.09104[/C][C]3.48253012213513[/C][C]-0.391490122135130[/C][/ROW]
[ROW][C]192[/C][C]2.70805[/C][C]2.79426623249857[/C][C]-0.0862162324985663[/C][/ROW]
[ROW][C]193[/C][C]4.11087[/C][C]3.38841811903960[/C][C]0.722451880960396[/C][/ROW]
[ROW][C]194[/C][C]4.79579[/C][C]3.64551084136453[/C][C]1.15027915863547[/C][/ROW]
[ROW][C]195[/C][C]2.3979[/C][C]3.12885297314528[/C][C]-0.73095297314528[/C][/ROW]
[ROW][C]196[/C][C]2.99573[/C][C]2.84894151028301[/C][C]0.146788489716992[/C][/ROW]
[ROW][C]197[/C][C]3.13549[/C][C]3.39179669448550[/C][C]-0.256306694485495[/C][/ROW]
[ROW][C]198[/C][C]3.43399[/C][C]3.54402226822102[/C][C]-0.110032268221020[/C][/ROW]
[ROW][C]199[/C][C]3.4012[/C][C]3.05688562364058[/C][C]0.344314376359425[/C][/ROW]
[ROW][C]200[/C][C]3.09104[/C][C]3.76416840035499[/C][C]-0.67312840035499[/C][/ROW]
[ROW][C]201[/C][C]4.45435[/C][C]3.34170794884952[/C][C]1.11264205115048[/C][/ROW]
[ROW][C]202[/C][C]4.18965[/C][C]3.74568055870844[/C][C]0.443969441291562[/C][/ROW]
[ROW][C]203[/C][C]3.73767[/C][C]3.57518265740067[/C][C]0.16248734259933[/C][/ROW]
[ROW][C]204[/C][C]4.20469[/C][C]2.98956187448242[/C][C]1.21512812551758[/C][/ROW]
[ROW][C]205[/C][C]2.56495[/C][C]2.88262463423447[/C][C]-0.317674634234473[/C][/ROW]
[ROW][C]206[/C][C]2.56495[/C][C]3.14611801411747[/C][C]-0.581168014117466[/C][/ROW]
[ROW][C]207[/C][C]4.85981[/C][C]3.47164866368105[/C][C]1.38816133631895[/C][/ROW]
[ROW][C]208[/C][C]5.25227[/C][C]2.96804065351769[/C][C]2.28422934648231[/C][/ROW]
[ROW][C]209[/C][C]2.63906[/C][C]3.15447120314681[/C][C]-0.515411203146808[/C][/ROW]
[ROW][C]210[/C][C]3.13549[/C][C]2.93534338938119[/C][C]0.200146610618805[/C][/ROW]
[ROW][C]211[/C][C]1.94591[/C][C]3.30540210760479[/C][C]-1.35949210760479[/C][/ROW]
[ROW][C]212[/C][C]3.4012[/C][C]3.1387710030535[/C][C]0.262428996946498[/C][/ROW]
[ROW][C]213[/C][C]4.72739[/C][C]3.59394509449509[/C][C]1.13344490550491[/C][/ROW]
[ROW][C]214[/C][C]3.3673[/C][C]2.91536625715423[/C][C]0.451933742845774[/C][/ROW]
[ROW][C]215[/C][C]3.2581[/C][C]3.57028938248245[/C][C]-0.312189382482454[/C][/ROW]
[ROW][C]216[/C][C]3.73767[/C][C]3.84477804839344[/C][C]-0.107108048393443[/C][/ROW]
[ROW][C]217[/C][C]1.79176[/C][C]3.26229573458224[/C][C]-1.47053573458224[/C][/ROW]
[ROW][C]218[/C][C]4.06044[/C][C]3.25874733601814[/C][C]0.801692663981858[/C][/ROW]
[ROW][C]219[/C][C]3.91202[/C][C]3.87864765166365[/C][C]0.033372348336351[/C][/ROW]
[ROW][C]220[/C][C]0.69315[/C][C]3.09984761203875[/C][C]-2.40669761203875[/C][/ROW]
[ROW][C]221[/C][C]1.60944[/C][C]2.76830998158047[/C][C]-1.15886998158047[/C][/ROW]
[ROW][C]222[/C][C]4.46591[/C][C]3.07286059695557[/C][C]1.39304940304443[/C][/ROW]
[ROW][C]223[/C][C]3.17805[/C][C]3.85132952815137[/C][C]-0.673279528151367[/C][/ROW]
[ROW][C]224[/C][C]2.89037[/C][C]3.36361479632846[/C][C]-0.473244796328457[/C][/ROW]
[ROW][C]225[/C][C]4.17439[/C][C]3.50784736602154[/C][C]0.666542633978463[/C][/ROW]
[ROW][C]226[/C][C]3.73767[/C][C]3.83702314372922[/C][C]-0.0993531437292243[/C][/ROW]
[ROW][C]227[/C][C]4.00733[/C][C]3.31589296023466[/C][C]0.691437039765342[/C][/ROW]
[ROW][C]228[/C][C]3.04452[/C][C]3.38864477581191[/C][C]-0.344124775811912[/C][/ROW]
[ROW][C]229[/C][C]2.63906[/C][C]2.91591206032718[/C][C]-0.276852060327181[/C][/ROW]
[ROW][C]230[/C][C]4.11087[/C][C]3.70945984619802[/C][C]0.401410153801976[/C][/ROW]
[ROW][C]231[/C][C]4.47734[/C][C]3.59195620036844[/C][C]0.885383799631562[/C][/ROW]
[ROW][C]232[/C][C]3.17805[/C][C]3.33387718691563[/C][C]-0.155827186915628[/C][/ROW]
[ROW][C]233[/C][C]3.3322[/C][C]3.65845838432179[/C][C]-0.326258384321794[/C][/ROW]
[ROW][C]234[/C][C]0.69315[/C][C]2.53247287702073[/C][C]-1.83932287702073[/C][/ROW]
[ROW][C]235[/C][C]4.58497[/C][C]3.6751074314897[/C][C]0.909862568510302[/C][/ROW]
[ROW][C]236[/C][C]0.69315[/C][C]2.21338236861897[/C][C]-1.52023236861897[/C][/ROW]
[ROW][C]237[/C][C]3.4012[/C][C]3.46809739136932[/C][C]-0.0668973913693187[/C][/ROW]
[ROW][C]238[/C][C]2.07944[/C][C]3.73072312469563[/C][C]-1.65128312469563[/C][/ROW]
[ROW][C]239[/C][C]4.55388[/C][C]3.14304253260818[/C][C]1.41083746739182[/C][/ROW]
[ROW][C]240[/C][C]3.21888[/C][C]2.85581445694595[/C][C]0.363065543054045[/C][/ROW]
[ROW][C]241[/C][C]2.77259[/C][C]2.74824547888693[/C][C]0.0243445211130687[/C][/ROW]
[ROW][C]242[/C][C]3.29584[/C][C]3.11928801460807[/C][C]0.176551985391930[/C][/ROW]
[ROW][C]243[/C][C]3.3322[/C][C]3.24107267301529[/C][C]0.0911273269847122[/C][/ROW]
[ROW][C]244[/C][C]4.02535[/C][C]3.5963601689712[/C][C]0.428989831028802[/C][/ROW]
[ROW][C]245[/C][C]4.38203[/C][C]3.60439833003718[/C][C]0.777631669962816[/C][/ROW]
[ROW][C]246[/C][C]2.99573[/C][C]2.73885803230002[/C][C]0.256871967699979[/C][/ROW]
[ROW][C]247[/C][C]3.55535[/C][C]3.19680152358694[/C][C]0.358548476413056[/C][/ROW]
[ROW][C]248[/C][C]3.2581[/C][C]3.40713507974006[/C][C]-0.149035079740058[/C][/ROW]
[ROW][C]249[/C][C]4.47734[/C][C]3.77579605030257[/C][C]0.701543949697426[/C][/ROW]
[ROW][C]250[/C][C]4.06044[/C][C]2.90998931146505[/C][C]1.15045068853495[/C][/ROW]
[ROW][C]251[/C][C]3.21888[/C][C]3.40237469288508[/C][C]-0.183494692885082[/C][/ROW]
[ROW][C]252[/C][C]4.46591[/C][C]3.35773106649896[/C][C]1.10817893350104[/C][/ROW]
[ROW][C]253[/C][C]3.13549[/C][C]3.0818242483842[/C][C]0.0536657516157972[/C][/ROW]
[ROW][C]254[/C][C]2.30259[/C][C]2.28976694588200[/C][C]0.0128230541180041[/C][/ROW]
[ROW][C]255[/C][C]3.61092[/C][C]3.45039163222534[/C][C]0.160528367774661[/C][/ROW]
[ROW][C]256[/C][C]3.13549[/C][C]3.18414121794353[/C][C]-0.0486512179435268[/C][/ROW]
[ROW][C]257[/C][C]3.89182[/C][C]3.87990114596708[/C][C]0.0119188540329179[/C][/ROW]
[ROW][C]258[/C][C]3.21888[/C][C]3.46388506647288[/C][C]-0.245005066472879[/C][/ROW]
[ROW][C]259[/C][C]3.17805[/C][C]2.4833051318649[/C][C]0.694744868135099[/C][/ROW]
[ROW][C]260[/C][C]3.73767[/C][C]3.63722936985765[/C][C]0.100440630142353[/C][/ROW]
[ROW][C]261[/C][C]2.3979[/C][C]3.47157306683045[/C][C]-1.07367306683045[/C][/ROW]
[ROW][C]262[/C][C]3.68888[/C][C]3.8858245038922[/C][C]-0.196944503892202[/C][/ROW]
[ROW][C]263[/C][C]4.26268[/C][C]3.55849175130938[/C][C]0.704188248690617[/C][/ROW]
[ROW][C]264[/C][C]4.94164[/C][C]3.74622735476612[/C][C]1.19541264523388[/C][/ROW]
[ROW][C]265[/C][C]3.29584[/C][C]3.44495951226678[/C][C]-0.149119512266777[/C][/ROW]
[ROW][C]266[/C][C]2.07944[/C][C]2.79794311257719[/C][C]-0.718503112577186[/C][/ROW]
[ROW][C]267[/C][C]2.19722[/C][C]3.50945394456123[/C][C]-1.31223394456123[/C][/ROW]
[ROW][C]268[/C][C]2.07944[/C][C]2.96776511047247[/C][C]-0.888325110472475[/C][/ROW]
[ROW][C]269[/C][C]4.54329[/C][C]3.3589835855812[/C][C]1.18430641441880[/C][/ROW]
[ROW][C]270[/C][C]2.07944[/C][C]3.60490037447673[/C][C]-1.52546037447673[/C][/ROW]
[ROW][C]271[/C][C]4.36945[/C][C]3.55344750893982[/C][C]0.816002491060177[/C][/ROW]
[ROW][C]272[/C][C]3.97029[/C][C]3.53324027621657[/C][C]0.437049723783434[/C][/ROW]
[ROW][C]273[/C][C]3.98898[/C][C]3.19942667637309[/C][C]0.789553323626913[/C][/ROW]
[ROW][C]274[/C][C]2.99573[/C][C]3.01965451823610[/C][C]-0.0239245182360963[/C][/ROW]
[ROW][C]275[/C][C]3.52636[/C][C]3.18359022104522[/C][C]0.342769778954779[/C][/ROW]
[ROW][C]276[/C][C]2.99573[/C][C]3.51310527158511[/C][C]-0.517375271585115[/C][/ROW]
[ROW][C]277[/C][C]5.39363[/C][C]3.09556634648576[/C][C]2.29806365351424[/C][/ROW]
[ROW][C]278[/C][C]3.63759[/C][C]3.378744479772[/C][C]0.258845520228003[/C][/ROW]
[ROW][C]279[/C][C]2.30259[/C][C]2.72578524862604[/C][C]-0.423195248626043[/C][/ROW]
[ROW][C]280[/C][C]4.92725[/C][C]3.86044556970327[/C][C]1.06680443029673[/C][/ROW]
[ROW][C]281[/C][C]2.94444[/C][C]3.36782069053123[/C][C]-0.423380690531226[/C][/ROW]
[ROW][C]282[/C][C]2.70805[/C][C]3.44401939192998[/C][C]-0.735969391929975[/C][/ROW]
[ROW][C]283[/C][C]2.07944[/C][C]3.6648804906697[/C][C]-1.5854404906697[/C][/ROW]
[ROW][C]284[/C][C]3.4012[/C][C]3.53779933786704[/C][C]-0.136599337867040[/C][/ROW]
[ROW][C]285[/C][C]5.05625[/C][C]3.57095684854471[/C][C]1.48529315145529[/C][/ROW]
[ROW][C]286[/C][C]4.93447[/C][C]3.61747595334579[/C][C]1.31699404665421[/C][/ROW]
[ROW][C]287[/C][C]2.56495[/C][C]3.38626058525621[/C][C]-0.82131058525621[/C][/ROW]
[ROW][C]288[/C][C]3.04452[/C][C]3.73532513036665[/C][C]-0.690805130366649[/C][/ROW]
[ROW][C]289[/C][C]1.38629[/C][C]2.34345979015862[/C][C]-0.957169790158617[/C][/ROW]
[ROW][C]290[/C][C]2.77259[/C][C]2.73507996829079[/C][C]0.0375100317092106[/C][/ROW]
[ROW][C]291[/C][C]3.91202[/C][C]2.87482671722474[/C][C]1.03719328277526[/C][/ROW]
[ROW][C]292[/C][C]4.35671[/C][C]3.80606588836221[/C][C]0.550644111637788[/C][/ROW]
[ROW][C]293[/C][C]3.4012[/C][C]3.73265323056083[/C][C]-0.331453230560835[/C][/ROW]
[ROW][C]294[/C][C]4.02535[/C][C]3.36372111884689[/C][C]0.661628881153114[/C][/ROW]
[ROW][C]295[/C][C]3.73767[/C][C]3.42030794703106[/C][C]0.317362052968945[/C][/ROW]
[ROW][C]296[/C][C]2.94444[/C][C]3.54024220252199[/C][C]-0.595802202521985[/C][/ROW]
[ROW][C]297[/C][C]4.09434[/C][C]3.02009180954923[/C][C]1.07424819045077[/C][/ROW]
[ROW][C]298[/C][C]3.04452[/C][C]2.87895880867036[/C][C]0.165561191329637[/C][/ROW]
[ROW][C]299[/C][C]3.17805[/C][C]3.47056757466464[/C][C]-0.292517574664637[/C][/ROW]
[ROW][C]300[/C][C]2.56495[/C][C]3.33886314847782[/C][C]-0.773913148477817[/C][/ROW]
[ROW][C]301[/C][C]2.63906[/C][C]2.91960574434736[/C][C]-0.280545744347357[/C][/ROW]
[ROW][C]302[/C][C]3.09104[/C][C]3.59005653632993[/C][C]-0.499016536329931[/C][/ROW]
[ROW][C]303[/C][C]3.4012[/C][C]3.48990350143054[/C][C]-0.0887035014305428[/C][/ROW]
[ROW][C]304[/C][C]2.19722[/C][C]2.48811916981161[/C][C]-0.290899169811611[/C][/ROW]
[ROW][C]305[/C][C]3.7612[/C][C]2.84181828535138[/C][C]0.91938171464862[/C][/ROW]
[ROW][C]306[/C][C]2.77259[/C][C]3.16853835514919[/C][C]-0.395948355149190[/C][/ROW]
[ROW][C]307[/C][C]3.4012[/C][C]2.63184625737137[/C][C]0.76935374262863[/C][/ROW]
[ROW][C]308[/C][C]3.61092[/C][C]3.04692072980805[/C][C]0.56399927019195[/C][/ROW]
[ROW][C]309[/C][C]3.3673[/C][C]3.11385988718204[/C][C]0.253440112817957[/C][/ROW]
[ROW][C]310[/C][C]0.69315[/C][C]2.46085594320395[/C][C]-1.76770594320395[/C][/ROW]
[ROW][C]311[/C][C]2.94444[/C][C]2.77886967312229[/C][C]0.165570326877707[/C][/ROW]
[ROW][C]312[/C][C]4.17439[/C][C]3.63755894777799[/C][C]0.53683105222201[/C][/ROW]
[ROW][C]313[/C][C]2.83321[/C][C]3.45616061173866[/C][C]-0.622950611738659[/C][/ROW]
[ROW][C]314[/C][C]3.04452[/C][C]2.9921692997279[/C][C]0.0523507002720995[/C][/ROW]
[ROW][C]315[/C][C]3.2581[/C][C]3.46928795598689[/C][C]-0.211187955986893[/C][/ROW]
[ROW][C]316[/C][C]3.21888[/C][C]3.05000797554392[/C][C]0.168872024456084[/C][/ROW]
[ROW][C]317[/C][C]4.23411[/C][C]3.61991219031213[/C][C]0.614197809687874[/C][/ROW]
[ROW][C]318[/C][C]4.81218[/C][C]3.46568272254145[/C][C]1.34649727745855[/C][/ROW]
[ROW][C]319[/C][C]4.39445[/C][C]3.31692535901467[/C][C]1.07752464098533[/C][/ROW]
[ROW][C]320[/C][C]2.63906[/C][C]2.91583643434338[/C][C]-0.276776434343378[/C][/ROW]
[ROW][C]321[/C][C]3.2581[/C][C]3.53811395851495[/C][C]-0.280013958514945[/C][/ROW]
[ROW][C]322[/C][C]1.94591[/C][C]2.98473263302033[/C][C]-1.03882263302033[/C][/ROW]
[ROW][C]323[/C][C]2.94444[/C][C]3.19136326112840[/C][C]-0.246923261128403[/C][/ROW]
[ROW][C]324[/C][C]2.56495[/C][C]3.18809779470572[/C][C]-0.623147794705718[/C][/ROW]
[ROW][C]325[/C][C]3.21888[/C][C]2.89056626293482[/C][C]0.32831373706518[/C][/ROW]
[ROW][C]326[/C][C]2.77259[/C][C]3.33560476844357[/C][C]-0.563014768443572[/C][/ROW]
[ROW][C]327[/C][C]4.61512[/C][C]3.42512548315791[/C][C]1.18999451684209[/C][/ROW]
[ROW][C]328[/C][C]1.60944[/C][C]2.62824745753836[/C][C]-1.01880745753836[/C][/ROW]
[ROW][C]329[/C][C]2.07944[/C][C]2.67828919544767[/C][C]-0.598849195447675[/C][/ROW]
[ROW][C]330[/C][C]3.8712[/C][C]3.06531116401529[/C][C]0.805888835984706[/C][/ROW]
[ROW][C]331[/C][C]3.17805[/C][C]3.61782136671866[/C][C]-0.439771366718657[/C][/ROW]
[ROW][C]332[/C][C]3.58352[/C][C]3.37862536151626[/C][C]0.204894638483739[/C][/ROW]
[ROW][C]333[/C][C]4.68213[/C][C]3.53859170203875[/C][C]1.14353829796125[/C][/ROW]
[ROW][C]334[/C][C]2.56495[/C][C]3.30455238670421[/C][C]-0.739602386704215[/C][/ROW]
[ROW][C]335[/C][C]2.30259[/C][C]2.89932758781601[/C][C]-0.596737587816005[/C][/ROW]
[ROW][C]336[/C][C]3.55535[/C][C]3.61577129342301[/C][C]-0.0604212934230136[/C][/ROW]
[ROW][C]337[/C][C]3.46574[/C][C]3.32783858077353[/C][C]0.137901419226468[/C][/ROW]
[ROW][C]338[/C][C]2.48491[/C][C]3.53050067640921[/C][C]-1.04559067640921[/C][/ROW]
[ROW][C]339[/C][C]4.21951[/C][C]2.84393568742139[/C][C]1.37557431257861[/C][/ROW]
[ROW][C]340[/C][C]2.30259[/C][C]3.06793830809078[/C][C]-0.765348308090777[/C][/ROW]
[ROW][C]341[/C][C]2.70805[/C][C]3.27916028290452[/C][C]-0.571110282904518[/C][/ROW]
[ROW][C]342[/C][C]2.99573[/C][C]3.61195291750201[/C][C]-0.616222917502008[/C][/ROW]
[ROW][C]343[/C][C]2.48491[/C][C]2.91509351899604[/C][C]-0.430183518996036[/C][/ROW]
[ROW][C]344[/C][C]3.13549[/C][C]3.76566156879092[/C][C]-0.630171568790923[/C][/ROW]
[ROW][C]345[/C][C]4.15888[/C][C]3.51809379061886[/C][C]0.640786209381135[/C][/ROW]
[ROW][C]346[/C][C]1.79176[/C][C]3.08842838214483[/C][C]-1.29666838214483[/C][/ROW]
[ROW][C]347[/C][C]3.29584[/C][C]3.57106790341297[/C][C]-0.275227903412971[/C][/ROW]
[ROW][C]348[/C][C]2.83321[/C][C]2.97933052148152[/C][C]-0.146120521481521[/C][/ROW]
[ROW][C]349[/C][C]3.52636[/C][C]2.58509567496793[/C][C]0.941264325032071[/C][/ROW]
[ROW][C]350[/C][C]3.2581[/C][C]2.47394107243383[/C][C]0.78415892756617[/C][/ROW]
[ROW][C]351[/C][C]3.98898[/C][C]3.00676663483083[/C][C]0.98221336516917[/C][/ROW]
[ROW][C]352[/C][C]1.60944[/C][C]3.20175919424339[/C][C]-1.59231919424339[/C][/ROW]
[ROW][C]353[/C][C]3.49651[/C][C]3.56940508389629[/C][C]-0.07289508389629[/C][/ROW]
[ROW][C]354[/C][C]3.17805[/C][C]3.2738144414727[/C][C]-0.0957644414727009[/C][/ROW]
[ROW][C]355[/C][C]4.67283[/C][C]3.48056509130743[/C][C]1.19226490869257[/C][/ROW]
[ROW][C]356[/C][C]3.43399[/C][C]3.1737909303386[/C][C]0.260199069661398[/C][/ROW]
[ROW][C]357[/C][C]2.07944[/C][C]3.42534767321138[/C][C]-1.34590767321138[/C][/ROW]
[ROW][C]358[/C][C]3.29584[/C][C]3.73126562718545[/C][C]-0.435425627185452[/C][/ROW]
[ROW][C]359[/C][C]2.30259[/C][C]3.02360410325715[/C][C]-0.72101410325715[/C][/ROW]
[ROW][C]360[/C][C]2.07944[/C][C]2.67056556703633[/C][C]-0.591125567036331[/C][/ROW]
[ROW][C]361[/C][C]0.69315[/C][C]2.37032725207314[/C][C]-1.67717725207314[/C][/ROW]
[ROW][C]362[/C][C]3.13549[/C][C]3.31903324599046[/C][C]-0.183543245990462[/C][/ROW]
[ROW][C]363[/C][C]3.82864[/C][C]3.56350062585105[/C][C]0.265139374148952[/C][/ROW]
[ROW][C]364[/C][C]3.8712[/C][C]3.75186713529961[/C][C]0.119332864700386[/C][/ROW]
[ROW][C]365[/C][C]2.99573[/C][C]2.4506887317198[/C][C]0.545041268280201[/C][/ROW]
[ROW][C]366[/C][C]3.2581[/C][C]3.64341278411419[/C][C]-0.385312784114188[/C][/ROW]
[ROW][C]367[/C][C]3.3322[/C][C]3.43219574328557[/C][C]-0.0999957432855654[/C][/ROW]
[ROW][C]368[/C][C]3.49651[/C][C]3.44777294999203[/C][C]0.0487370500079716[/C][/ROW]
[ROW][C]369[/C][C]1.94591[/C][C]3.17214609507099[/C][C]-1.22623609507099[/C][/ROW]
[ROW][C]370[/C][C]4.57471[/C][C]3.66935833958523[/C][C]0.905351660414767[/C][/ROW]
[ROW][C]371[/C][C]3.91202[/C][C]3.39749527589132[/C][C]0.51452472410868[/C][/ROW]
[ROW][C]372[/C][C]3.80666[/C][C]3.27894843589344[/C][C]0.527711564106561[/C][/ROW]
[ROW][C]373[/C][C]3.93183[/C][C]2.52884549782651[/C][C]1.40298450217349[/C][/ROW]
[ROW][C]374[/C][C]2.48491[/C][C]2.59643316267624[/C][C]-0.111523162676243[/C][/ROW]
[ROW][C]375[/C][C]3.13549[/C][C]3.28696095151434[/C][C]-0.151470951514336[/C][/ROW]
[ROW][C]376[/C][C]2.94444[/C][C]3.41564011210053[/C][C]-0.471200112100534[/C][/ROW]
[ROW][C]377[/C][C]3.4012[/C][C]3.63496278204376[/C][C]-0.233762782043763[/C][/ROW]
[ROW][C]378[/C][C]1.94591[/C][C]2.69462238074212[/C][C]-0.748712380742118[/C][/ROW]
[ROW][C]379[/C][C]3.17805[/C][C]2.83803469946914[/C][C]0.340015300530859[/C][/ROW]
[ROW][C]380[/C][C]3.21888[/C][C]3.15282639908879[/C][C]0.0660536009112145[/C][/ROW]
[ROW][C]381[/C][C]2.63906[/C][C]3.11955718077200[/C][C]-0.480497180771996[/C][/ROW]
[ROW][C]382[/C][C]3.3322[/C][C]3.40883946342121[/C][C]-0.0766394634212073[/C][/ROW]
[ROW][C]383[/C][C]2.70805[/C][C]2.47278292817015[/C][C]0.235267071829852[/C][/ROW]
[ROW][C]384[/C][C]3.78419[/C][C]3.45654244966306[/C][C]0.327647550336942[/C][/ROW]
[ROW][C]385[/C][C]3.78419[/C][C]3.61515287343302[/C][C]0.169037126566983[/C][/ROW]
[ROW][C]386[/C][C]1.60944[/C][C]3.54654470375942[/C][C]-1.93710470375942[/C][/ROW]
[ROW][C]387[/C][C]3.3673[/C][C]3.4791420663459[/C][C]-0.111842066345897[/C][/ROW]
[ROW][C]388[/C][C]3.04452[/C][C]2.77713116683005[/C][C]0.267388833169953[/C][/ROW]
[ROW][C]389[/C][C]4.45435[/C][C]3.47622135628151[/C][C]0.978128643718488[/C][/ROW]
[ROW][C]390[/C][C]1.94591[/C][C]2.94849255233157[/C][C]-1.00258255233157[/C][/ROW]
[ROW][C]391[/C][C]2.63906[/C][C]2.61799974893890[/C][C]0.0210602510610969[/C][/ROW]
[ROW][C]392[/C][C]3.3322[/C][C]3.49141205082772[/C][C]-0.159212050827723[/C][/ROW]
[ROW][C]393[/C][C]3.43399[/C][C]2.77689272714344[/C][C]0.65709727285656[/C][/ROW]
[ROW][C]394[/C][C]3.89182[/C][C]3.20837636334211[/C][C]0.683443636657885[/C][/ROW]
[ROW][C]395[/C][C]2.19722[/C][C]3.54307248651152[/C][C]-1.34585248651152[/C][/ROW]
[ROW][C]396[/C][C]4.59512[/C][C]3.35122860112076[/C][C]1.24389139887924[/C][/ROW]
[ROW][C]397[/C][C]3.49651[/C][C]2.99134180021268[/C][C]0.505168199787321[/C][/ROW]
[ROW][C]398[/C][C]2.83321[/C][C]3.37172585727866[/C][C]-0.538515857278663[/C][/ROW]
[ROW][C]399[/C][C]2.19722[/C][C]3.15251209784754[/C][C]-0.955292097847535[/C][/ROW]
[ROW][C]400[/C][C]2.89037[/C][C]2.94266467639002[/C][C]-0.0522946763900218[/C][/ROW]
[ROW][C]401[/C][C]3.4012[/C][C]3.49608684920465[/C][C]-0.0948868492046484[/C][/ROW]
[ROW][C]402[/C][C]2.99573[/C][C]3.12206817900645[/C][C]-0.126338179006452[/C][/ROW]
[ROW][C]403[/C][C]3.73767[/C][C]3.51182460295778[/C][C]0.225845397042217[/C][/ROW]
[ROW][C]404[/C][C]2.94444[/C][C]2.83114779272358[/C][C]0.113292207276419[/C][/ROW]
[ROW][C]405[/C][C]3.58352[/C][C]3.64862755672633[/C][C]-0.0651075567263265[/C][/ROW]
[ROW][C]406[/C][C]3.29584[/C][C]3.48668499612859[/C][C]-0.190844996128589[/C][/ROW]
[ROW][C]407[/C][C]4.8752[/C][C]3.49046690907261[/C][C]1.38473309092739[/C][/ROW]
[ROW][C]408[/C][C]4.33073[/C][C]3.57479352532751[/C][C]0.755936474672493[/C][/ROW]
[ROW][C]409[/C][C]3.29584[/C][C]3.38887690466521[/C][C]-0.0930369046652127[/C][/ROW]
[ROW][C]410[/C][C]3.78419[/C][C]3.57797473575513[/C][C]0.206215264244874[/C][/ROW]
[ROW][C]411[/C][C]3.61092[/C][C]2.49423764620803[/C][C]1.11668235379197[/C][/ROW]
[ROW][C]412[/C][C]2.83321[/C][C]3.15160703205219[/C][C]-0.318397032052192[/C][/ROW]
[ROW][C]413[/C][C]3.7612[/C][C]3.07228684813963[/C][C]0.688913151860374[/C][/ROW]
[ROW][C]414[/C][C]3.58352[/C][C]2.87821387359292[/C][C]0.70530612640708[/C][/ROW]
[ROW][C]415[/C][C]3.17805[/C][C]2.79537375132831[/C][C]0.382676248671688[/C][/ROW]
[ROW][C]416[/C][C]3.52636[/C][C]2.86117025718982[/C][C]0.66518974281018[/C][/ROW]
[ROW][C]417[/C][C]4.21951[/C][C]3.52810028848623[/C][C]0.69140971151377[/C][/ROW]
[ROW][C]418[/C][C]3.93183[/C][C]3.54716990417114[/C][C]0.384660095828861[/C][/ROW]
[ROW][C]419[/C][C]2.30259[/C][C]2.84336056223226[/C][C]-0.540770562232265[/C][/ROW]
[ROW][C]420[/C][C]3.2581[/C][C]2.72079321547499[/C][C]0.537306784525005[/C][/ROW]
[ROW][C]421[/C][C]2.70805[/C][C]3.30112752473515[/C][C]-0.593077524735149[/C][/ROW]
[ROW][C]422[/C][C]3.55535[/C][C]2.79997917462219[/C][C]0.75537082537781[/C][/ROW]
[ROW][C]423[/C][C]1.94591[/C][C]2.93313267202192[/C][C]-0.987222672021918[/C][/ROW]
[ROW][C]424[/C][C]4.36945[/C][C]2.82239663514964[/C][C]1.54705336485036[/C][/ROW]
[ROW][C]425[/C][C]4.70048[/C][C]3.11370927526001[/C][C]1.58677072473999[/C][/ROW]
[ROW][C]426[/C][C]2.48491[/C][C]2.81552250156380[/C][C]-0.330612501563804[/C][/ROW]
[ROW][C]427[/C][C]1.60944[/C][C]3.15775357841319[/C][C]-1.54831357841319[/C][/ROW]
[ROW][C]428[/C][C]3.78419[/C][C]3.74704791084165[/C][C]0.0371420891583493[/C][/ROW]
[ROW][C]429[/C][C]1.94591[/C][C]2.55061452509379[/C][C]-0.60470452509379[/C][/ROW]
[ROW][C]430[/C][C]3.09104[/C][C]3.7084938789866[/C][C]-0.617453878986601[/C][/ROW]
[ROW][C]431[/C][C]3.21888[/C][C]3.32984884315862[/C][C]-0.110968843158616[/C][/ROW]
[ROW][C]432[/C][C]2.48491[/C][C]3.39322551571586[/C][C]-0.90831551571586[/C][/ROW]
[ROW][C]433[/C][C]2.19722[/C][C]2.96938244534641[/C][C]-0.77216244534641[/C][/ROW]
[ROW][C]434[/C][C]4.93447[/C][C]3.53937891282213[/C][C]1.39509108717787[/C][/ROW]
[ROW][C]435[/C][C]4.04305[/C][C]3.53392128738162[/C][C]0.509128712618379[/C][/ROW]
[ROW][C]436[/C][C]4.51086[/C][C]3.71909137892365[/C][C]0.791768621076354[/C][/ROW]
[ROW][C]437[/C][C]1.94591[/C][C]2.19447016692617[/C][C]-0.248560166926170[/C][/ROW]
[ROW][C]438[/C][C]3.09104[/C][C]3.88573643322791[/C][C]-0.794696433227908[/C][/ROW]
[ROW][C]439[/C][C]4.60517[/C][C]3.54852259177420[/C][C]1.05664740822580[/C][/ROW]
[ROW][C]440[/C][C]3.63759[/C][C]3.14475302587045[/C][C]0.492836974129546[/C][/ROW]
[ROW][C]441[/C][C]3.46574[/C][C]3.42390229430193[/C][C]0.041837705698065[/C][/ROW]
[ROW][C]442[/C][C]3.8712[/C][C]3.91048373197228[/C][C]-0.0392837319722808[/C][/ROW]
[ROW][C]443[/C][C]5.15329[/C][C]3.66717830323186[/C][C]1.48611169676814[/C][/ROW]
[ROW][C]444[/C][C]3.04452[/C][C]3.39705155237952[/C][C]-0.352531552379522[/C][/ROW]
[ROW][C]445[/C][C]3.49651[/C][C]3.65021537334007[/C][C]-0.153705373340071[/C][/ROW]
[ROW][C]446[/C][C]2.56495[/C][C]2.5635298963074[/C][C]0.00142010369260253[/C][/ROW]
[ROW][C]447[/C][C]3.85015[/C][C]3.45404668388003[/C][C]0.396103316119968[/C][/ROW]
[ROW][C]448[/C][C]2.48491[/C][C]2.73835408192363[/C][C]-0.253444081923633[/C][/ROW]
[ROW][C]449[/C][C]2.07944[/C][C]3.29977088289596[/C][C]-1.22033088289596[/C][/ROW]
[ROW][C]450[/C][C]2.99573[/C][C]3.71433728451629[/C][C]-0.718607284516291[/C][/ROW]
[ROW][C]451[/C][C]1.38629[/C][C]3.08948811659787[/C][C]-1.70319811659787[/C][/ROW]
[ROW][C]452[/C][C]3.17805[/C][C]3.56443769859199[/C][C]-0.386387698591988[/C][/ROW]
[ROW][C]453[/C][C]2.19722[/C][C]2.65871731878204[/C][C]-0.461497318782044[/C][/ROW]
[ROW][C]454[/C][C]3.55535[/C][C]3.59370944540704[/C][C]-0.0383594454070413[/C][/ROW]
[ROW][C]455[/C][C]3.8712[/C][C]3.75087940926709[/C][C]0.120320590732908[/C][/ROW]
[ROW][C]456[/C][C]3.4012[/C][C]3.48384246311578[/C][C]-0.0826424631157822[/C][/ROW]
[ROW][C]457[/C][C]3.04452[/C][C]3.44368293686847[/C][C]-0.399162936868474[/C][/ROW]
[ROW][C]458[/C][C]4.34381[/C][C]3.34519447424815[/C][C]0.998615525751849[/C][/ROW]
[ROW][C]459[/C][C]2.3979[/C][C]3.06154402687230[/C][C]-0.663644026872297[/C][/ROW]
[ROW][C]460[/C][C]2.63906[/C][C]3.53103595518752[/C][C]-0.891975955187524[/C][/ROW]
[ROW][C]461[/C][C]2.56495[/C][C]2.73979857701213[/C][C]-0.174848577012134[/C][/ROW]
[ROW][C]462[/C][C]3.3322[/C][C]2.69541242322991[/C][C]0.636787576770086[/C][/ROW]
[ROW][C]463[/C][C]2.56495[/C][C]3.53920119566180[/C][C]-0.974251195661796[/C][/ROW]
[ROW][C]464[/C][C]3.68888[/C][C]3.22405959413498[/C][C]0.46482040586502[/C][/ROW]
[ROW][C]465[/C][C]2.3979[/C][C]3.56369759058502[/C][C]-1.16579759058502[/C][/ROW]
[ROW][C]466[/C][C]2.3979[/C][C]2.81956257297870[/C][C]-0.421662572978696[/C][/ROW]
[ROW][C]467[/C][C]4.68213[/C][C]3.81155065543755[/C][C]0.870579344562446[/C][/ROW]
[ROW][C]468[/C][C]3.04452[/C][C]3.51189661651613[/C][C]-0.467376616516134[/C][/ROW]
[ROW][C]469[/C][C]3.04452[/C][C]3.41196351434744[/C][C]-0.36744351434744[/C][/ROW]
[ROW][C]470[/C][C]2.19722[/C][C]2.42592485820441[/C][C]-0.228704858204410[/C][/ROW]
[ROW][C]471[/C][C]3.17805[/C][C]3.55127830022768[/C][C]-0.373228300227675[/C][/ROW]
[ROW][C]472[/C][C]4.48864[/C][C]3.70027426080182[/C][C]0.788365739198184[/C][/ROW]
[ROW][C]473[/C][C]2.30259[/C][C]3.53318113150615[/C][C]-1.23059113150615[/C][/ROW]
[ROW][C]474[/C][C]3.29584[/C][C]3.85740656023556[/C][C]-0.561566560235555[/C][/ROW]
[ROW][C]475[/C][C]3.17805[/C][C]3.43283474834439[/C][C]-0.254784748344390[/C][/ROW]
[ROW][C]476[/C][C]4.06044[/C][C]2.92509897026089[/C][C]1.13534102973911[/C][/ROW]
[ROW][C]477[/C][C]4.15888[/C][C]3.12885884248724[/C][C]1.03002115751276[/C][/ROW]
[ROW][C]478[/C][C]3.09104[/C][C]2.82286203944694[/C][C]0.268177960553062[/C][/ROW]
[ROW][C]479[/C][C]4.41884[/C][C]3.86538791053739[/C][C]0.553452089462615[/C][/ROW]
[ROW][C]480[/C][C]2.89037[/C][C]3.29214562722978[/C][C]-0.401775627229782[/C][/ROW]
[ROW][C]481[/C][C]1.09861[/C][C]2.37901076491087[/C][C]-1.28040076491087[/C][/ROW]
[ROW][C]482[/C][C]3.43399[/C][C]3.35844070296421[/C][C]0.0755492970357948[/C][/ROW]
[ROW][C]483[/C][C]3.52636[/C][C]3.62522987423169[/C][C]-0.0988698742316937[/C][/ROW]
[ROW][C]484[/C][C]3.13549[/C][C]3.31501002438850[/C][C]-0.179520024388505[/C][/ROW]
[ROW][C]485[/C][C]2.19722[/C][C]3.44595453258393[/C][C]-1.24873453258393[/C][/ROW]
[ROW][C]486[/C][C]3.13549[/C][C]3.62415604710286[/C][C]-0.48866604710286[/C][/ROW]
[ROW][C]487[/C][C]2.07944[/C][C]2.86074691608603[/C][C]-0.78130691608603[/C][/ROW]
[ROW][C]488[/C][C]3.63759[/C][C]2.72584304572836[/C][C]0.911746954271641[/C][/ROW]
[ROW][C]489[/C][C]3.73767[/C][C]3.08908507595247[/C][C]0.648584924047529[/C][/ROW]
[ROW][C]490[/C][C]2.48491[/C][C]2.89805608950403[/C][C]-0.413146089504025[/C][/ROW]
[ROW][C]491[/C][C]1.94591[/C][C]2.73578439580118[/C][C]-0.789874395801181[/C][/ROW]
[ROW][C]492[/C][C]1.94591[/C][C]3.05520170354835[/C][C]-1.10929170354835[/C][/ROW]
[ROW][C]493[/C][C]2.77259[/C][C]2.58443071210413[/C][C]0.188159287895875[/C][/ROW]
[ROW][C]494[/C][C]2.70805[/C][C]3.33699030109203[/C][C]-0.628940301092035[/C][/ROW]
[ROW][C]495[/C][C]1.79176[/C][C]2.56218100739247[/C][C]-0.770421007392468[/C][/ROW]
[ROW][C]496[/C][C]2.30259[/C][C]2.90502961310921[/C][C]-0.602439613109213[/C][/ROW]
[ROW][C]497[/C][C]4.11087[/C][C]3.71900654193257[/C][C]0.391863458067428[/C][/ROW]
[ROW][C]498[/C][C]3.4012[/C][C]3.20543216101029[/C][C]0.195767838989705[/C][/ROW]
[ROW][C]499[/C][C]3.68888[/C][C]3.29917339452086[/C][C]0.389706605479139[/C][/ROW]
[ROW][C]500[/C][C]4.17439[/C][C]3.86428563132368[/C][C]0.310104368676324[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107657&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107657&T=4

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	3.66356	3.37261426571013	0.290945734289873
2	3.04452	3.50306895475311	-0.458548954753114
3	3.71357	2.37568628646686	1.33788371353314
4	2.94444	3.41951419038747	-0.475074190387474
5	4.06044	3.20243345624646	0.858006543753539
6	3.68888	3.55924890571656	0.129631094283437
7	3.3322	3.61293695418916	-0.280736954189165
8	3.3673	2.87561372632352	0.491686273676484
9	2.07944	3.29798836148575	-1.21854836148575
10	1.94591	3.32978854546934	-1.38387854546934
11	3.3322	2.78979079520823	0.542409204791772
12	3.21888	3.64284073940617	-0.423960739406167
13	1.09861	2.19303410177854	-1.09442410177854
14	5.3845	3.07042292786537	2.31407707213463
15	3.93183	3.64670267576235	0.285127324237649
16	3.3673	2.94512018964818	0.422179810351821
17	2.83321	3.63824666852882	-0.80503666852882
18	3.04452	3.30232602497507	-0.257806024975069
19	2.99573	2.80423590132949	0.191494098670508
20	4.21951	3.64169860842918	0.577811391570822
21	3.04452	3.62580209028985	-0.58128209028985
22	3.7612	3.62427460808425	0.136925391915750
23	3.58352	3.62846405430732	-0.044944054307317
24	2.48491	3.35105241254369	-0.866142412543689
25	2.48491	3.69983193987672	-1.21492193987672
26	3.3322	3.46820476803507	-0.136004768035075
27	3.13549	3.69671616846449	-0.561226168464492
28	2.07944	3.30199883611252	-1.22255883611252
29	3.68888	3.0501825122178	0.6386974877822
30	2.99573	2.3133446760978	0.682385323902202
31	3.98898	3.54986153100004	0.439118468999958
32	3.04452	3.05399385879268	-0.00947385879267545
33	3.55535	3.53579275131524	0.0195572486847613
34	1.79176	3.18885260944478	-1.39709260944478
35	3.04452	2.74102374210171	0.303496257898288
36	2.56495	3.56518223106331	-1.00023223106331
37	4.36945	3.59079890549621	0.778651094503793
38	3.46574	3.3718274832979	0.0939125167021008
39	4.60517	3.38894391089748	1.21622608910252
40	3.09104	3.21798961453139	-0.126949614531385
41	4.15888	3.43532026341395	0.72355973658605
42	1.79176	3.23238567361750	-1.44062567361750
43	2.48491	3.34875621972375	-0.863846219723751
44	3.21888	3.36946155975178	-0.150581559751777
45	3.73767	3.29237737464006	0.445292625359943
46	4.2485	3.18914827127870	1.05935172872130
47	3.8712	2.83860884400759	1.03259115599241
48	4.00733	3.42311006313825	0.584219936861753
49	2.94444	2.84789235602249	0.096547643977513
50	3.09104	2.17225556625099	0.918784433749007
51	1.94591	2.54677682585091	-0.600866825850913
52	3.52636	3.41608018391302	0.110279816086979
53	3.8712	3.56754866186391	0.303651338136093
54	2.99573	3.56120317272594	-0.565473172725938
55	4.07754	3.68208976596850	0.395450234031496
56	3.21888	3.36135748926800	-0.142477489268004
57	3.49651	3.53222673309843	-0.0357167330984298
58	3.2581	2.57777906944691	0.680320930553086
59	2.99573	3.39807901302201	-0.402349013022008
60	2.70805	3.17136249222854	-0.463312492228538
61	3.09104	3.25736393858322	-0.166323938583223
62	4.06044	3.60022763179766	0.460212368202338
63	3.61092	3.61769077435327	-0.00677077435327486
64	2.56495	3.10147583831473	-0.536525838314729
65	1.60944	3.03934574483264	-1.42990574483264
66	5.0876	3.71171904579472	1.37588095420528
67	2.30259	3.28942028862513	-0.986830288625135
68	3.2581	3.42798031550935	-0.169880315509354
69	3.66356	3.30340568272434	0.360154317275656
70	3.04452	3.57192815051480	-0.527408150514795
71	3.4012	3.45867816293088	-0.0574781629308787
72	3.04452	3.05480961651745	-0.0102896165174459
73	3.4012	3.79764439379578	-0.396444393795776
74	3.55535	3.12978992432364	0.425560075676362
75	3.97029	3.72606697964271	0.24422302035729
76	4.72739	3.31252425066683	1.41486574933317
77	4.30407	3.29314121550153	1.01092878449847
78	2.56495	3.21273119633899	-0.64778119633899
79	3.78419	3.24707062930082	0.537119370699184
80	4.95583	3.29440468136066	1.66142531863934
81	3.66356	3.35104770918684	0.312512290813165
82	5.26786	3.50613722167475	1.76172277832525
83	3.46574	2.73550555644094	0.730234443559064
84	2.07944	2.89747885297113	-0.818038852971127
85	3.3673	3.52903123987403	-0.161731239874031
86	3.29584	3.47118772696543	-0.175347726965426
87	2.19722	3.32627529947194	-1.12905529947194
88	3.43399	3.76672374585954	-0.332733745859536
89	3.2581	3.52710921074039	-0.269009210740386
90	2.83321	3.20288407169552	-0.369674071695523
91	3.63759	3.98739749215343	-0.349807492153426
92	2.70805	3.10824645950444	-0.400196459504444
93	2.99573	3.65257617214376	-0.656846172143764
94	4.00733	3.76987974451658	0.237450255483415
95	3.43399	3.22709958229402	0.206890417705977
96	0.69315	3.26748997682473	-2.57433997682473
97	3.52636	3.60649074219999	-0.0801307421999939
98	2.63906	3.51250153341184	-0.873441533411836
99	1.94591	3.45625111662678	-1.51034111662678
100	3.71357	3.61173017566083	0.101839824339168
101	2.83321	3.17955048614001	-0.346340486140005
102	3.43399	3.44035777504435	-0.00636777504435337
103	3.29584	3.85679512635679	-0.560955126356788
104	3.17805	3.47075136328789	-0.29270136328789
105	4.81218	3.68121077118895	1.13096922881105
106	4.63473	3.9182062025476	0.716523797452402
107	3.04452	2.82335926606517	0.221160733934829
108	3.8712	3.46594817108398	0.405251828916016
109	3.68888	3.68460819212117	0.0042718078788268
110	4.33073	3.15202587406749	1.17870412593251
111	4.61512	3.40470792650623	1.21041207349377
112	4.43082	3.04298516105466	1.38783483894534
113	3.4012	2.96710772926129	0.434092270738706
114	2.48491	3.62585336617278	-1.14094336617278
115	3.29584	3.78756316872347	-0.491723168723473
116	2.94444	3.56024859947109	-0.615808599471088
117	3.3673	3.26218087703616	0.105119122963836
118	2.89037	3.27399509585958	-0.383625095859577
119	4.90527	3.31114496453436	1.59412503546564
120	2.63906	3.22086395521298	-0.581803955212983
121	3.29584	3.28646099545881	0.00937900454118726
122	3.71357	3.22622433208720	0.487345667912803
123	4.39445	3.80786164856396	0.58658835143604
124	3.82864	3.48495007284181	0.343689927158195
125	2.56495	2.72179217436529	-0.15684217436529
126	3.3322	3.45553498145376	-0.123334981453763
127	3.13549	3.21713274662683	-0.0816427466268335
128	0.69315	2.95422751802715	-2.26107751802715
129	4.00733	3.74244855522445	0.264881444775547
130	3.2581	2.96733059008503	0.290769409914967
131	3.2581	3.20981584094257	0.0482841590574256
132	4.84419	3.84374396145869	1.00044603854131
133	2.63906	2.77648598040609	-0.137425980406094
134	1.38629	2.23318675141557	-0.84689675141557
135	3.2581	2.95604945071353	0.302050549286475
136	2.30259	3.51543013352702	-1.21284013352702
137	3.09104	2.71980492002587	0.371235079974129
138	2.94444	3.04513166109217	-0.100691661092167
139	3.4012	3.07546365441053	0.325736345589467
140	2.99573	2.82670789306411	0.169022106935885
141	3.82864	3.24065280199193	0.587987198008065
142	2.30259	3.59154331525355	-1.28895331525355
143	4.29046	3.32165980327959	0.96880019672041
144	4.41884	3.61974113627139	0.799098863728608
145	3.3673	3.44132677187325	-0.0740267718732475
146	2.30259	2.27292486406351	0.029665135936492
147	3.98898	3.6090269783062	0.379953021693802
148	4.12713	2.55485663912379	1.57227336087621
149	3.68888	3.11963992631705	0.569240073682952
150	2.30259	2.67114060869048	-0.368550608690480
151	3.29584	3.53610635543966	-0.240266355439659
152	3.13549	3.18220289103497	-0.046712891034975
153	2.07944	3.30500190337161	-1.22556190337161
154	5.25227	3.85790012111362	1.39436987888638
155	3.78419	3.49992000402474	0.284269995975265
156	3.97029	3.11208095170735	0.858209048292646
157	2.99573	2.76513545772413	0.230594542275867
158	2.56495	3.22513266100679	-0.660182661006795
159	3.21888	3.18755345026419	0.0313265497358109
160	1.38629	3.69920465410332	-2.31291465410332
161	3.13549	3.31655757826776	-0.181067578267758
162	4.06044	3.45197781141938	0.60846218858062
163	4.27667	3.56042544602430	0.716244553975696
164	3.49651	3.87200987255104	-0.375499872551043
165	3.21888	3.42536076953830	-0.206480769538296
166	4.07754	3.45195738506421	0.62558261493579
167	4.20469	3.02211576361082	1.18257423638918
168	4.18965	3.06929365718400	1.12035634281600
169	2.48491	3.49991806693173	-1.01500806693173
170	1.09861	3.01901122926141	-1.92040122926141
171	2.48491	3.41237827926239	-0.927468279262386
172	2.48491	3.54566220961134	-1.06075220961134
173	0.69315	3.52008422041535	-2.82693422041535
174	4.34381	3.89245530942895	0.451354690571047
175	2.63906	3.51505576036003	-0.875995760360028
176	3.29584	3.45446810226272	-0.158628102262721
177	4.17439	3.37749706213737	0.796892937862625
178	3.71357	3.94896380444413	-0.235393804444129
179	4.02535	3.35268518490412	0.672664815095884
180	4.85203	3.47091470494862	1.38111529505138
181	4.64439	3.28666804150141	1.35772195849859
182	3.63759	3.10174141260339	0.535848587396606
183	3.4012	3.41722800003298	-0.0160280000329785
184	1.79176	2.93270644425858	-1.14094644425858
185	4.11087	3.12757377064339	0.983296229356613
186	3.3673	3.63043301189004	-0.263133011890042
187	4.44265	3.58445718460009	0.858192815399908
188	2.77259	3.36651549809148	-0.593925498091483
189	3.71357	3.34019214629553	0.37337785370447
190	5.17048	3.24031409885593	1.93016590114407
191	3.09104	3.48253012213513	-0.391490122135130
192	2.70805	2.79426623249857	-0.0862162324985663
193	4.11087	3.38841811903960	0.722451880960396
194	4.79579	3.64551084136453	1.15027915863547
195	2.3979	3.12885297314528	-0.73095297314528
196	2.99573	2.84894151028301	0.146788489716992
197	3.13549	3.39179669448550	-0.256306694485495
198	3.43399	3.54402226822102	-0.110032268221020
199	3.4012	3.05688562364058	0.344314376359425
200	3.09104	3.76416840035499	-0.67312840035499
201	4.45435	3.34170794884952	1.11264205115048
202	4.18965	3.74568055870844	0.443969441291562
203	3.73767	3.57518265740067	0.16248734259933
204	4.20469	2.98956187448242	1.21512812551758
205	2.56495	2.88262463423447	-0.317674634234473
206	2.56495	3.14611801411747	-0.581168014117466
207	4.85981	3.47164866368105	1.38816133631895
208	5.25227	2.96804065351769	2.28422934648231
209	2.63906	3.15447120314681	-0.515411203146808
210	3.13549	2.93534338938119	0.200146610618805
211	1.94591	3.30540210760479	-1.35949210760479
212	3.4012	3.1387710030535	0.262428996946498
213	4.72739	3.59394509449509	1.13344490550491
214	3.3673	2.91536625715423	0.451933742845774
215	3.2581	3.57028938248245	-0.312189382482454
216	3.73767	3.84477804839344	-0.107108048393443
217	1.79176	3.26229573458224	-1.47053573458224
218	4.06044	3.25874733601814	0.801692663981858
219	3.91202	3.87864765166365	0.033372348336351
220	0.69315	3.09984761203875	-2.40669761203875
221	1.60944	2.76830998158047	-1.15886998158047
222	4.46591	3.07286059695557	1.39304940304443
223	3.17805	3.85132952815137	-0.673279528151367
224	2.89037	3.36361479632846	-0.473244796328457
225	4.17439	3.50784736602154	0.666542633978463
226	3.73767	3.83702314372922	-0.0993531437292243
227	4.00733	3.31589296023466	0.691437039765342
228	3.04452	3.38864477581191	-0.344124775811912
229	2.63906	2.91591206032718	-0.276852060327181
230	4.11087	3.70945984619802	0.401410153801976
231	4.47734	3.59195620036844	0.885383799631562
232	3.17805	3.33387718691563	-0.155827186915628
233	3.3322	3.65845838432179	-0.326258384321794
234	0.69315	2.53247287702073	-1.83932287702073
235	4.58497	3.6751074314897	0.909862568510302
236	0.69315	2.21338236861897	-1.52023236861897
237	3.4012	3.46809739136932	-0.0668973913693187
238	2.07944	3.73072312469563	-1.65128312469563
239	4.55388	3.14304253260818	1.41083746739182
240	3.21888	2.85581445694595	0.363065543054045
241	2.77259	2.74824547888693	0.0243445211130687
242	3.29584	3.11928801460807	0.176551985391930
243	3.3322	3.24107267301529	0.0911273269847122
244	4.02535	3.5963601689712	0.428989831028802
245	4.38203	3.60439833003718	0.777631669962816
246	2.99573	2.73885803230002	0.256871967699979
247	3.55535	3.19680152358694	0.358548476413056
248	3.2581	3.40713507974006	-0.149035079740058
249	4.47734	3.77579605030257	0.701543949697426
250	4.06044	2.90998931146505	1.15045068853495
251	3.21888	3.40237469288508	-0.183494692885082
252	4.46591	3.35773106649896	1.10817893350104
253	3.13549	3.0818242483842	0.0536657516157972
254	2.30259	2.28976694588200	0.0128230541180041
255	3.61092	3.45039163222534	0.160528367774661
256	3.13549	3.18414121794353	-0.0486512179435268
257	3.89182	3.87990114596708	0.0119188540329179
258	3.21888	3.46388506647288	-0.245005066472879
259	3.17805	2.4833051318649	0.694744868135099
260	3.73767	3.63722936985765	0.100440630142353
261	2.3979	3.47157306683045	-1.07367306683045
262	3.68888	3.8858245038922	-0.196944503892202
263	4.26268	3.55849175130938	0.704188248690617
264	4.94164	3.74622735476612	1.19541264523388
265	3.29584	3.44495951226678	-0.149119512266777
266	2.07944	2.79794311257719	-0.718503112577186
267	2.19722	3.50945394456123	-1.31223394456123
268	2.07944	2.96776511047247	-0.888325110472475
269	4.54329	3.3589835855812	1.18430641441880
270	2.07944	3.60490037447673	-1.52546037447673
271	4.36945	3.55344750893982	0.816002491060177
272	3.97029	3.53324027621657	0.437049723783434
273	3.98898	3.19942667637309	0.789553323626913
274	2.99573	3.01965451823610	-0.0239245182360963
275	3.52636	3.18359022104522	0.342769778954779
276	2.99573	3.51310527158511	-0.517375271585115
277	5.39363	3.09556634648576	2.29806365351424
278	3.63759	3.378744479772	0.258845520228003
279	2.30259	2.72578524862604	-0.423195248626043
280	4.92725	3.86044556970327	1.06680443029673
281	2.94444	3.36782069053123	-0.423380690531226
282	2.70805	3.44401939192998	-0.735969391929975
283	2.07944	3.6648804906697	-1.5854404906697
284	3.4012	3.53779933786704	-0.136599337867040
285	5.05625	3.57095684854471	1.48529315145529
286	4.93447	3.61747595334579	1.31699404665421
287	2.56495	3.38626058525621	-0.82131058525621
288	3.04452	3.73532513036665	-0.690805130366649
289	1.38629	2.34345979015862	-0.957169790158617
290	2.77259	2.73507996829079	0.0375100317092106
291	3.91202	2.87482671722474	1.03719328277526
292	4.35671	3.80606588836221	0.550644111637788
293	3.4012	3.73265323056083	-0.331453230560835
294	4.02535	3.36372111884689	0.661628881153114
295	3.73767	3.42030794703106	0.317362052968945
296	2.94444	3.54024220252199	-0.595802202521985
297	4.09434	3.02009180954923	1.07424819045077
298	3.04452	2.87895880867036	0.165561191329637
299	3.17805	3.47056757466464	-0.292517574664637
300	2.56495	3.33886314847782	-0.773913148477817
301	2.63906	2.91960574434736	-0.280545744347357
302	3.09104	3.59005653632993	-0.499016536329931
303	3.4012	3.48990350143054	-0.0887035014305428
304	2.19722	2.48811916981161	-0.290899169811611
305	3.7612	2.84181828535138	0.91938171464862
306	2.77259	3.16853835514919	-0.395948355149190
307	3.4012	2.63184625737137	0.76935374262863
308	3.61092	3.04692072980805	0.56399927019195
309	3.3673	3.11385988718204	0.253440112817957
310	0.69315	2.46085594320395	-1.76770594320395
311	2.94444	2.77886967312229	0.165570326877707
312	4.17439	3.63755894777799	0.53683105222201
313	2.83321	3.45616061173866	-0.622950611738659
314	3.04452	2.9921692997279	0.0523507002720995
315	3.2581	3.46928795598689	-0.211187955986893
316	3.21888	3.05000797554392	0.168872024456084
317	4.23411	3.61991219031213	0.614197809687874
318	4.81218	3.46568272254145	1.34649727745855
319	4.39445	3.31692535901467	1.07752464098533
320	2.63906	2.91583643434338	-0.276776434343378
321	3.2581	3.53811395851495	-0.280013958514945
322	1.94591	2.98473263302033	-1.03882263302033
323	2.94444	3.19136326112840	-0.246923261128403
324	2.56495	3.18809779470572	-0.623147794705718
325	3.21888	2.89056626293482	0.32831373706518
326	2.77259	3.33560476844357	-0.563014768443572
327	4.61512	3.42512548315791	1.18999451684209
328	1.60944	2.62824745753836	-1.01880745753836
329	2.07944	2.67828919544767	-0.598849195447675
330	3.8712	3.06531116401529	0.805888835984706
331	3.17805	3.61782136671866	-0.439771366718657
332	3.58352	3.37862536151626	0.204894638483739
333	4.68213	3.53859170203875	1.14353829796125
334	2.56495	3.30455238670421	-0.739602386704215
335	2.30259	2.89932758781601	-0.596737587816005
336	3.55535	3.61577129342301	-0.0604212934230136
337	3.46574	3.32783858077353	0.137901419226468
338	2.48491	3.53050067640921	-1.04559067640921
339	4.21951	2.84393568742139	1.37557431257861
340	2.30259	3.06793830809078	-0.765348308090777
341	2.70805	3.27916028290452	-0.571110282904518
342	2.99573	3.61195291750201	-0.616222917502008
343	2.48491	2.91509351899604	-0.430183518996036
344	3.13549	3.76566156879092	-0.630171568790923
345	4.15888	3.51809379061886	0.640786209381135
346	1.79176	3.08842838214483	-1.29666838214483
347	3.29584	3.57106790341297	-0.275227903412971
348	2.83321	2.97933052148152	-0.146120521481521
349	3.52636	2.58509567496793	0.941264325032071
350	3.2581	2.47394107243383	0.78415892756617
351	3.98898	3.00676663483083	0.98221336516917
352	1.60944	3.20175919424339	-1.59231919424339
353	3.49651	3.56940508389629	-0.07289508389629
354	3.17805	3.2738144414727	-0.0957644414727009
355	4.67283	3.48056509130743	1.19226490869257
356	3.43399	3.1737909303386	0.260199069661398
357	2.07944	3.42534767321138	-1.34590767321138
358	3.29584	3.73126562718545	-0.435425627185452
359	2.30259	3.02360410325715	-0.72101410325715
360	2.07944	2.67056556703633	-0.591125567036331
361	0.69315	2.37032725207314	-1.67717725207314
362	3.13549	3.31903324599046	-0.183543245990462
363	3.82864	3.56350062585105	0.265139374148952
364	3.8712	3.75186713529961	0.119332864700386
365	2.99573	2.4506887317198	0.545041268280201
366	3.2581	3.64341278411419	-0.385312784114188
367	3.3322	3.43219574328557	-0.0999957432855654
368	3.49651	3.44777294999203	0.0487370500079716
369	1.94591	3.17214609507099	-1.22623609507099
370	4.57471	3.66935833958523	0.905351660414767
371	3.91202	3.39749527589132	0.51452472410868
372	3.80666	3.27894843589344	0.527711564106561
373	3.93183	2.52884549782651	1.40298450217349
374	2.48491	2.59643316267624	-0.111523162676243
375	3.13549	3.28696095151434	-0.151470951514336
376	2.94444	3.41564011210053	-0.471200112100534
377	3.4012	3.63496278204376	-0.233762782043763
378	1.94591	2.69462238074212	-0.748712380742118
379	3.17805	2.83803469946914	0.340015300530859
380	3.21888	3.15282639908879	0.0660536009112145
381	2.63906	3.11955718077200	-0.480497180771996
382	3.3322	3.40883946342121	-0.0766394634212073
383	2.70805	2.47278292817015	0.235267071829852
384	3.78419	3.45654244966306	0.327647550336942
385	3.78419	3.61515287343302	0.169037126566983
386	1.60944	3.54654470375942	-1.93710470375942
387	3.3673	3.4791420663459	-0.111842066345897
388	3.04452	2.77713116683005	0.267388833169953
389	4.45435	3.47622135628151	0.978128643718488
390	1.94591	2.94849255233157	-1.00258255233157
391	2.63906	2.61799974893890	0.0210602510610969
392	3.3322	3.49141205082772	-0.159212050827723
393	3.43399	2.77689272714344	0.65709727285656
394	3.89182	3.20837636334211	0.683443636657885
395	2.19722	3.54307248651152	-1.34585248651152
396	4.59512	3.35122860112076	1.24389139887924
397	3.49651	2.99134180021268	0.505168199787321
398	2.83321	3.37172585727866	-0.538515857278663
399	2.19722	3.15251209784754	-0.955292097847535
400	2.89037	2.94266467639002	-0.0522946763900218
401	3.4012	3.49608684920465	-0.0948868492046484
402	2.99573	3.12206817900645	-0.126338179006452
403	3.73767	3.51182460295778	0.225845397042217
404	2.94444	2.83114779272358	0.113292207276419
405	3.58352	3.64862755672633	-0.0651075567263265
406	3.29584	3.48668499612859	-0.190844996128589
407	4.8752	3.49046690907261	1.38473309092739
408	4.33073	3.57479352532751	0.755936474672493
409	3.29584	3.38887690466521	-0.0930369046652127
410	3.78419	3.57797473575513	0.206215264244874
411	3.61092	2.49423764620803	1.11668235379197
412	2.83321	3.15160703205219	-0.318397032052192
413	3.7612	3.07228684813963	0.688913151860374
414	3.58352	2.87821387359292	0.70530612640708
415	3.17805	2.79537375132831	0.382676248671688
416	3.52636	2.86117025718982	0.66518974281018
417	4.21951	3.52810028848623	0.69140971151377
418	3.93183	3.54716990417114	0.384660095828861
419	2.30259	2.84336056223226	-0.540770562232265
420	3.2581	2.72079321547499	0.537306784525005
421	2.70805	3.30112752473515	-0.593077524735149
422	3.55535	2.79997917462219	0.75537082537781
423	1.94591	2.93313267202192	-0.987222672021918
424	4.36945	2.82239663514964	1.54705336485036
425	4.70048	3.11370927526001	1.58677072473999
426	2.48491	2.81552250156380	-0.330612501563804
427	1.60944	3.15775357841319	-1.54831357841319
428	3.78419	3.74704791084165	0.0371420891583493
429	1.94591	2.55061452509379	-0.60470452509379
430	3.09104	3.7084938789866	-0.617453878986601
431	3.21888	3.32984884315862	-0.110968843158616
432	2.48491	3.39322551571586	-0.90831551571586
433	2.19722	2.96938244534641	-0.77216244534641
434	4.93447	3.53937891282213	1.39509108717787
435	4.04305	3.53392128738162	0.509128712618379
436	4.51086	3.71909137892365	0.791768621076354
437	1.94591	2.19447016692617	-0.248560166926170
438	3.09104	3.88573643322791	-0.794696433227908
439	4.60517	3.54852259177420	1.05664740822580
440	3.63759	3.14475302587045	0.492836974129546
441	3.46574	3.42390229430193	0.041837705698065
442	3.8712	3.91048373197228	-0.0392837319722808
443	5.15329	3.66717830323186	1.48611169676814
444	3.04452	3.39705155237952	-0.352531552379522
445	3.49651	3.65021537334007	-0.153705373340071
446	2.56495	2.5635298963074	0.00142010369260253
447	3.85015	3.45404668388003	0.396103316119968
448	2.48491	2.73835408192363	-0.253444081923633
449	2.07944	3.29977088289596	-1.22033088289596
450	2.99573	3.71433728451629	-0.718607284516291
451	1.38629	3.08948811659787	-1.70319811659787
452	3.17805	3.56443769859199	-0.386387698591988
453	2.19722	2.65871731878204	-0.461497318782044
454	3.55535	3.59370944540704	-0.0383594454070413
455	3.8712	3.75087940926709	0.120320590732908
456	3.4012	3.48384246311578	-0.0826424631157822
457	3.04452	3.44368293686847	-0.399162936868474
458	4.34381	3.34519447424815	0.998615525751849
459	2.3979	3.06154402687230	-0.663644026872297
460	2.63906	3.53103595518752	-0.891975955187524
461	2.56495	2.73979857701213	-0.174848577012134
462	3.3322	2.69541242322991	0.636787576770086
463	2.56495	3.53920119566180	-0.974251195661796
464	3.68888	3.22405959413498	0.46482040586502
465	2.3979	3.56369759058502	-1.16579759058502
466	2.3979	2.81956257297870	-0.421662572978696
467	4.68213	3.81155065543755	0.870579344562446
468	3.04452	3.51189661651613	-0.467376616516134
469	3.04452	3.41196351434744	-0.36744351434744
470	2.19722	2.42592485820441	-0.228704858204410
471	3.17805	3.55127830022768	-0.373228300227675
472	4.48864	3.70027426080182	0.788365739198184
473	2.30259	3.53318113150615	-1.23059113150615
474	3.29584	3.85740656023556	-0.561566560235555
475	3.17805	3.43283474834439	-0.254784748344390
476	4.06044	2.92509897026089	1.13534102973911
477	4.15888	3.12885884248724	1.03002115751276
478	3.09104	2.82286203944694	0.268177960553062
479	4.41884	3.86538791053739	0.553452089462615
480	2.89037	3.29214562722978	-0.401775627229782
481	1.09861	2.37901076491087	-1.28040076491087
482	3.43399	3.35844070296421	0.0755492970357948
483	3.52636	3.62522987423169	-0.0988698742316937
484	3.13549	3.31501002438850	-0.179520024388505
485	2.19722	3.44595453258393	-1.24873453258393
486	3.13549	3.62415604710286	-0.48866604710286
487	2.07944	2.86074691608603	-0.78130691608603
488	3.63759	2.72584304572836	0.911746954271641
489	3.73767	3.08908507595247	0.648584924047529
490	2.48491	2.89805608950403	-0.413146089504025
491	1.94591	2.73578439580118	-0.789874395801181
492	1.94591	3.05520170354835	-1.10929170354835
493	2.77259	2.58443071210413	0.188159287895875
494	2.70805	3.33699030109203	-0.628940301092035
495	1.79176	2.56218100739247	-0.770421007392468
496	2.30259	2.90502961310921	-0.602439613109213
497	4.11087	3.71900654193257	0.391863458067428
498	3.4012	3.20543216101029	0.195767838989705
499	3.68888	3.29917339452086	0.389706605479139
500	4.17439	3.86428563132368	0.310104368676324

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
11	0.0526869268378438	0.105373853675688	0.947313073162156
12	0.266114761145501	0.532229522291002	0.7338852388545
13	0.271199590031095	0.54239918006219	0.728800409968905
14	0.365481051150901	0.730962102301801	0.634518948849099
15	0.298463607626666	0.596927215253333	0.701536392373334
16	0.621005485305211	0.757989029389578	0.378994514694789
17	0.524370887082578	0.951258225834845	0.475629112917422
18	0.42824398518027	0.85648797036054	0.57175601481973
19	0.849607705396088	0.300784589207825	0.150392294603912
20	0.819863577418134	0.360272845163732	0.180136422581866
21	0.772032225113229	0.455935549773543	0.227967774886771
22	0.749247802855808	0.501504394288385	0.250752197144192
23	0.687386118396392	0.625227763207215	0.312613881603608
24	0.684277872187349	0.631444255625302	0.315722127812651
25	0.625145476625848	0.749709046748304	0.374854523374152
26	0.586960177958999	0.826079644082001	0.413039822041001
27	0.521379478854006	0.957241042291989	0.478620521145994
28	0.632709971065317	0.734580057869367	0.367290028934683
29	0.604268668245125	0.79146266350975	0.395731331754875
30	0.550694770474593	0.898610459050813	0.449305229525407
31	0.513037259473815	0.97392548105237	0.486962740526185
32	0.468776090728313	0.937552181456627	0.531223909271687
33	0.411276990546275	0.82255398109255	0.588723009453725
34	0.573490091675373	0.853019816649253	0.426509908324627
35	0.539092569918608	0.921814860162783	0.460907430081392
36	0.540134402729745	0.919731194540511	0.459865597270255
37	0.534346268236369	0.931307463527262	0.465653731763631
38	0.488630694352654	0.977261388705308	0.511369305647346
39	0.563825385993268	0.872349228013464	0.436174614006732
40	0.51763038889517	0.96473922220966	0.48236961110483
41	0.502840380661878	0.994319238676243	0.497159619338122
42	0.670657696005323	0.658684607989354	0.329342303994677
43	0.670453440280198	0.659093119439603	0.329546559719802
44	0.626932807071701	0.746134385856599	0.373067192928299
45	0.595379401649976	0.809241196700048	0.404620598350024
46	0.592297685097504	0.815404629804992	0.407702314902496
47	0.601804583492589	0.796390833014821	0.398195416507411
48	0.588273487922875	0.823453024154249	0.411726512077125
49	0.552982846665424	0.894034306669151	0.447017153334576
50	0.517317644083845	0.96536471183231	0.482682355916155
51	0.510757628556782	0.978484742886436	0.489242371443218
52	0.465898097323218	0.931796194646437	0.534101902676782
53	0.445530151947416	0.891060303894833	0.554469848052584
54	0.404115853574483	0.808231707148966	0.595884146425517
55	0.379707899971298	0.759415799942597	0.620292100028702
56	0.339133715625818	0.678267431251635	0.660866284374182
57	0.303173697999878	0.606347395999756	0.696826302000122
58	0.272810689600195	0.545621379200391	0.727189310399805
59	0.25004855609858	0.50009711219716	0.74995144390142
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318	0.983045089067345	0.0339098218653098	0.0169549109326549
319	0.988182273430612	0.0236354531387753	0.0118177265693876
320	0.986092439984305	0.0278151200313898	0.0139075600156949
321	0.983926087831865	0.0321478243362708	0.0160739121681354
322	0.98723998569247	0.0255200286150613	0.0127600143075307
323	0.98494371952724	0.0301125609455205	0.0150562804727602
324	0.983160525966415	0.0336789480671706	0.0168394740335853
325	0.980378996495161	0.0392420070096771	0.0196210035048386
326	0.97812297328348	0.0437540534330389	0.0218770267165195
327	0.982328730221918	0.0353425395561646	0.0176712697780823
328	0.983737249594588	0.0325255008108250	0.0162627504054125
329	0.981896669596623	0.0362066608067548	0.0181033304033774
330	0.98169791963263	0.0366041607347383	0.0183020803673692
331	0.978936694876966	0.0421266102460683	0.0210633051230342
332	0.976087294657416	0.0478254106851689	0.0239127053425845
333	0.979429147187818	0.0411417056243632	0.0205708528121816
334	0.977697078002435	0.0446058439951298	0.0223029219975649
335	0.97629100349839	0.0474179930032212	0.0237089965016106
336	0.972171984067192	0.0556560318656163	0.0278280159328081
337	0.967494837409687	0.0650103251806258	0.0325051625903129
338	0.97127229139916	0.0574554172016815	0.0287277086008408
339	0.978684232836487	0.0426315343270265	0.0213157671635132
340	0.976618443888364	0.046763112223272	0.023381556111636
341	0.97445957885602	0.0510808422879589	0.0255404211439794
342	0.97220536578944	0.055589268421121	0.0277946342105605
343	0.968214333719656	0.063571332560687	0.0317856662803435
344	0.966804240037781	0.0663915199244374	0.0331957599622187
345	0.965610728624588	0.0687785427508248	0.0343892713754124
346	0.976398582689982	0.0472028346200358	0.0236014173100179
347	0.972869553293255	0.054260893413489	0.0271304467067445
348	0.969062438318403	0.0618751233631944	0.0309375616815972
349	0.975446648193	0.0491067036140019	0.0245533518070010
350	0.974432476399474	0.0511350472010523	0.0255675236005261
351	0.97781087501852	0.0443782499629614	0.0221891249814807
352	0.9841411416218	0.031717716756401	0.0158588583782005
353	0.981225830045557	0.0375483399088868	0.0187741699544434
354	0.977907726509663	0.0441845469806741	0.0220922734903370
355	0.98134116198771	0.0373176760245808	0.0186588380122904
356	0.977923417242344	0.044153165515313	0.0220765827576565
357	0.98397006873503	0.0320598625299399	0.0160299312649700
358	0.981571540147572	0.0368569197048561	0.0184284598524280
359	0.979227152987177	0.0415456940256464	0.0207728470128232
360	0.978242131851375	0.0435157362972506	0.0217578681486253
361	0.989790263797168	0.020419472405665	0.0102097362028325
362	0.987644560200837	0.0247108795983266	0.0123554397991633
363	0.985165689446784	0.0296686211064318	0.0148343105532159
364	0.98214755023021	0.0357048995395786	0.0178524497697893
365	0.979563903390756	0.0408721932184887	0.0204360966092444
366	0.976593522503984	0.0468129549920325	0.0234064774960162
367	0.97220985212388	0.0555802957522392	0.0277901478761196
368	0.967109007054974	0.0657819858900517	0.0328909929450259
369	0.973785686155617	0.0524286276887656	0.0262143138443828
370	0.97346084915815	0.0530783016836993	0.0265391508418497
371	0.971307838030097	0.0573843239398061	0.0286921619699031
372	0.967938262319151	0.0641234753616974	0.0320617376808487
373	0.97432228376305	0.0513554324739007	0.0256777162369503
374	0.969412854703068	0.0611742905938647	0.0305871452969323
375	0.964485312816952	0.0710293743660963	0.0355146871830482
376	0.959208916339544	0.0815821673209127	0.0407910836604564
377	0.952593746015176	0.094812507969649	0.0474062539848245
378	0.951837680692876	0.0963246386142485	0.0481623193071243
379	0.945496681125166	0.109006637749667	0.0545033188748336
380	0.938618866729262	0.122762266541476	0.0613811332707381
381	0.92972665864585	0.140546682708301	0.0702733413541504
382	0.918701311809335	0.162597376381330	0.0812986881906649
383	0.906596468795818	0.186807062408364	0.093403531204182
384	0.89754663050837	0.204906738983262	0.102453369491631
385	0.882974297457787	0.234051405084426	0.117025702542213
386	0.936867403857722	0.126265192284557	0.0631325961422783
387	0.92713339829253	0.145733203414942	0.0728666017074709
388	0.918846447941639	0.162307104116723	0.0811535520583613
389	0.931797926107567	0.136404147784866	0.068202073892433
390	0.941142330898837	0.117715338202326	0.0588576691011628
391	0.933640128756322	0.132719742487357	0.0663598712436783
392	0.922889448313233	0.154221103373534	0.0771105516867668
393	0.922152711663463	0.155694576673074	0.077847288336537
394	0.926301924334641	0.147396151330717	0.0736980756653587
395	0.9504162928981	0.0991674142037988	0.0495837071018994
396	0.964883608282382	0.0702327834352368	0.0351163917176184
397	0.95864779706385	0.0827044058723004	0.0413522029361502
398	0.95241734009211	0.0951653198157815	0.0475826599078907
399	0.96571307132123	0.0685738573575414	0.0342869286787707
400	0.958990308888628	0.0820193822227439	0.0410096911113719
401	0.951308825450476	0.0973823490990476	0.0486911745495238
402	0.943046675285013	0.113906649429973	0.0569533247149866
403	0.932989804056466	0.134020391887068	0.067010195943534
404	0.921380146067922	0.157239707864156	0.0786198539320781
405	0.90800309058131	0.183993818837379	0.0919969094186896
406	0.893163660449984	0.213672679100032	0.106836339550016
407	0.929635786784258	0.140728426431483	0.0703642132157417
408	0.926145909130266	0.147708181739468	0.073854090869734
409	0.913170906401247	0.173658187197506	0.086829093598753
410	0.902285232098681	0.195429535802638	0.097714767901319
411	0.912787222480036	0.174425555039929	0.0872127775199644
412	0.907031284147462	0.185937431705077	0.0929687158525384
413	0.903074080520079	0.193851838959843	0.0969259194799214
414	0.895460659309488	0.209078681381024	0.104539340690512
415	0.888067542730856	0.223864914538289	0.111932457269144
416	0.886358997794428	0.227282004411145	0.113641002205572
417	0.881974360676482	0.236051278647036	0.118025639323518
418	0.867797992351666	0.264404015296667	0.132202007648334
419	0.8617300338822	0.276539932235601	0.138269966117801
420	0.846984161729812	0.306031676540377	0.153015838270188
421	0.826911659616577	0.346176680766847	0.173088340383423
422	0.824892580235334	0.350214839529333	0.175107419764666
423	0.840493550577349	0.319012898845302	0.159506449422651
424	0.897776986474284	0.204446027051431	0.102223013525716
425	0.955201920592635	0.0895961588147292	0.0447980794073646
426	0.94552688920738	0.108946221585240	0.0544731107926201
427	0.954480068496786	0.091039863006429	0.0455199315032145
428	0.946643090938338	0.106713818123323	0.0533569090616616
429	0.936802705344778	0.126394589310444	0.0631972946552218
430	0.930479682516298	0.139040634967404	0.069520317483702
431	0.916376360744788	0.167247278510425	0.0836236392552124
432	0.913051524618906	0.173896950762188	0.0869484753810938
433	0.907167737235613	0.185664525528773	0.0928322627643866
434	0.96548913856934	0.0690217228613198	0.0345108614306599
435	0.960671929165294	0.0786561416694116	0.0393280708347058
436	0.96247300715005	0.0750539856999007	0.0375269928499503
437	0.953542683887631	0.0929146322247373	0.0464573161123686
438	0.947928632175398	0.104142735649204	0.052071367824602
439	0.975477306086606	0.0490453878267887	0.0245226939133943
440	0.979677317113013	0.0406453657739738	0.0203226828869869
441	0.976244940737622	0.0475101185247557	0.0237550592623779
442	0.969853599171495	0.0602928016570103	0.0301464008285051
443	0.985673235994035	0.0286535280119306	0.0143267640059653
444	0.981359100957893	0.0372817980842145	0.0186408990421072
445	0.975426607037656	0.0491467859246869	0.0245733929623435
446	0.96837152301566	0.0632569539686796	0.0316284769843398
447	0.972337911393451	0.0553241772130976	0.0276620886065488
448	0.965320824995349	0.0693583500093025	0.0346791750046513
449	0.985824185201697	0.0283516295966057	0.0141758147983029
450	0.981245917089629	0.0375081658207427	0.0187540829103713
451	0.98616960667381	0.0276607866523793	0.0138303933261896
452	0.981258632710083	0.0374827345798348	0.0187413672899174
453	0.97743710204841	0.0451257959031791	0.0225628979515896
454	0.970395949991471	0.0592081000170574	0.0296040500085287
455	0.960747285296711	0.0785054294065772	0.0392527147032886
456	0.948341863022659	0.103316273954683	0.0516581369773413
457	0.933545024027253	0.132909951945493	0.0664549759727467
458	0.935259301846438	0.129481396307123	0.0647406981535616
459	0.917884921003498	0.164230157993003	0.0821150789965015
460	0.910713467366314	0.178573065267373	0.0892865326336864
461	0.894158960195512	0.211682079608976	0.105841039804488
462	0.894427474822856	0.211145050354288	0.105572525177144
463	0.894396062596816	0.211207874806368	0.105603937403184
464	0.92501363667448	0.149972726651039	0.0749863633255193
465	0.96046175483629	0.0790764903274182	0.0395382451637091
466	0.948442749604758	0.103114500790485	0.0515572503952423
467	0.938535741772324	0.122928516455351	0.0614642582276756
468	0.917881301715214	0.164237396569572	0.082118698284786
469	0.898539266284156	0.202921467431688	0.101460733715844
470	0.866394696134029	0.267210607731942	0.133605303865971
471	0.834807724257285	0.330384551485430	0.165192275742715
472	0.795433984330114	0.409132031339772	0.204566015669886
473	0.840771430382092	0.318457139235816	0.159228569617908
474	0.837427727282819	0.325144545434362	0.162572272717181
475	0.813291062516846	0.373417874966308	0.186708937483154
476	0.863876249239013	0.272247501521975	0.136123750760988
477	0.910804652500367	0.178390694999266	0.089195347499633
478	0.94889989686035	0.102200206279299	0.0511001031396497
479	0.923461405793664	0.153077188412673	0.0765385942063363
480	0.886861417913852	0.226277164172295	0.113138582086148
481	0.846881324345009	0.306237351309983	0.153118675654991
482	0.786794584493695	0.426410831012609	0.213205415506305
483	0.737634912017364	0.524730175965273	0.262365087982636
484	0.645396952343834	0.709206095312332	0.354603047656166
485	0.705131009315543	0.589737981368915	0.294868990684458
486	0.719023076923238	0.561953846153523	0.280976923076762
487	0.602590850231261	0.794818299537478	0.397409149768739
488	0.546019167700662	0.907961664598677	0.453980832299338
489	0.868295471472984	0.263409057054032	0.131704528527016

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.0526869268378438 & 0.105373853675688 & 0.947313073162156 \tabularnewline
12 & 0.266114761145501 & 0.532229522291002 & 0.7338852388545 \tabularnewline
13 & 0.271199590031095 & 0.54239918006219 & 0.728800409968905 \tabularnewline
14 & 0.365481051150901 & 0.730962102301801 & 0.634518948849099 \tabularnewline
15 & 0.298463607626666 & 0.596927215253333 & 0.701536392373334 \tabularnewline
16 & 0.621005485305211 & 0.757989029389578 & 0.378994514694789 \tabularnewline
17 & 0.524370887082578 & 0.951258225834845 & 0.475629112917422 \tabularnewline
18 & 0.42824398518027 & 0.85648797036054 & 0.57175601481973 \tabularnewline
19 & 0.849607705396088 & 0.300784589207825 & 0.150392294603912 \tabularnewline
20 & 0.819863577418134 & 0.360272845163732 & 0.180136422581866 \tabularnewline
21 & 0.772032225113229 & 0.455935549773543 & 0.227967774886771 \tabularnewline
22 & 0.749247802855808 & 0.501504394288385 & 0.250752197144192 \tabularnewline
23 & 0.687386118396392 & 0.625227763207215 & 0.312613881603608 \tabularnewline
24 & 0.684277872187349 & 0.631444255625302 & 0.315722127812651 \tabularnewline
25 & 0.625145476625848 & 0.749709046748304 & 0.374854523374152 \tabularnewline
26 & 0.586960177958999 & 0.826079644082001 & 0.413039822041001 \tabularnewline
27 & 0.521379478854006 & 0.957241042291989 & 0.478620521145994 \tabularnewline
28 & 0.632709971065317 & 0.734580057869367 & 0.367290028934683 \tabularnewline
29 & 0.604268668245125 & 0.79146266350975 & 0.395731331754875 \tabularnewline
30 & 0.550694770474593 & 0.898610459050813 & 0.449305229525407 \tabularnewline
31 & 0.513037259473815 & 0.97392548105237 & 0.486962740526185 \tabularnewline
32 & 0.468776090728313 & 0.937552181456627 & 0.531223909271687 \tabularnewline
33 & 0.411276990546275 & 0.82255398109255 & 0.588723009453725 \tabularnewline
34 & 0.573490091675373 & 0.853019816649253 & 0.426509908324627 \tabularnewline
35 & 0.539092569918608 & 0.921814860162783 & 0.460907430081392 \tabularnewline
36 & 0.540134402729745 & 0.919731194540511 & 0.459865597270255 \tabularnewline
37 & 0.534346268236369 & 0.931307463527262 & 0.465653731763631 \tabularnewline
38 & 0.488630694352654 & 0.977261388705308 & 0.511369305647346 \tabularnewline
39 & 0.563825385993268 & 0.872349228013464 & 0.436174614006732 \tabularnewline
40 & 0.51763038889517 & 0.96473922220966 & 0.48236961110483 \tabularnewline
41 & 0.502840380661878 & 0.994319238676243 & 0.497159619338122 \tabularnewline
42 & 0.670657696005323 & 0.658684607989354 & 0.329342303994677 \tabularnewline
43 & 0.670453440280198 & 0.659093119439603 & 0.329546559719802 \tabularnewline
44 & 0.626932807071701 & 0.746134385856599 & 0.373067192928299 \tabularnewline
45 & 0.595379401649976 & 0.809241196700048 & 0.404620598350024 \tabularnewline
46 & 0.592297685097504 & 0.815404629804992 & 0.407702314902496 \tabularnewline
47 & 0.601804583492589 & 0.796390833014821 & 0.398195416507411 \tabularnewline
48 & 0.588273487922875 & 0.823453024154249 & 0.411726512077125 \tabularnewline
49 & 0.552982846665424 & 0.894034306669151 & 0.447017153334576 \tabularnewline
50 & 0.517317644083845 & 0.96536471183231 & 0.482682355916155 \tabularnewline
51 & 0.510757628556782 & 0.978484742886436 & 0.489242371443218 \tabularnewline
52 & 0.465898097323218 & 0.931796194646437 & 0.534101902676782 \tabularnewline
53 & 0.445530151947416 & 0.891060303894833 & 0.554469848052584 \tabularnewline
54 & 0.404115853574483 & 0.808231707148966 & 0.595884146425517 \tabularnewline
55 & 0.379707899971298 & 0.759415799942597 & 0.620292100028702 \tabularnewline
56 & 0.339133715625818 & 0.678267431251635 & 0.660866284374182 \tabularnewline
57 & 0.303173697999878 & 0.606347395999756 & 0.696826302000122 \tabularnewline
58 & 0.272810689600195 & 0.545621379200391 & 0.727189310399805 \tabularnewline
59 & 0.25004855609858 & 0.50009711219716 & 0.74995144390142 \tabularnewline
60 & 0.242019870084158 & 0.484039740168316 & 0.757980129915842 \tabularnewline
61 & 0.216428461644598 & 0.432856923289196 & 0.783571538355402 \tabularnewline
62 & 0.196741530084653 & 0.393483060169305 & 0.803258469915347 \tabularnewline
63 & 0.170190619400863 & 0.340381238801726 & 0.829809380599137 \tabularnewline
64 & 0.152423961676284 & 0.304847923352568 & 0.847576038323716 \tabularnewline
65 & 0.225127357531815 & 0.450254715063631 & 0.774872642468185 \tabularnewline
66 & 0.293017414399995 & 0.58603482879999 & 0.706982585600005 \tabularnewline
67 & 0.301414090446829 & 0.602828180893659 & 0.69858590955317 \tabularnewline
68 & 0.268007170482181 & 0.536014340964362 & 0.731992829517819 \tabularnewline
69 & 0.240522794847583 & 0.481045589695166 & 0.759477205152417 \tabularnewline
70 & 0.218516305233341 & 0.437032610466681 & 0.78148369476666 \tabularnewline
71 & 0.190747978960125 & 0.381495957920249 & 0.809252021039875 \tabularnewline
72 & 0.165275215201569 & 0.330550430403139 & 0.83472478479843 \tabularnewline
73 & 0.143218355883819 & 0.286436711767638 & 0.85678164411618 \tabularnewline
74 & 0.124042759921331 & 0.248085519842662 & 0.87595724007867 \tabularnewline
75 & 0.106810371585922 & 0.213620743171843 & 0.893189628414078 \tabularnewline
76 & 0.175482219353244 & 0.350964438706488 & 0.824517780646756 \tabularnewline
77 & 0.18524975168107 & 0.37049950336214 & 0.81475024831893 \tabularnewline
78 & 0.177645104212570 & 0.355290208425140 & 0.82235489578743 \tabularnewline
79 & 0.166299941818432 & 0.332599883636864 & 0.833700058181568 \tabularnewline
80 & 0.205647623764774 & 0.411295247529547 & 0.794352376235226 \tabularnewline
81 & 0.194494365637986 & 0.388988731275972 & 0.805505634362014 \tabularnewline
82 & 0.265366758056859 & 0.530733516113718 & 0.734633241943141 \tabularnewline
83 & 0.251836968009335 & 0.503673936018671 & 0.748163031990665 \tabularnewline
84 & 0.247717378882788 & 0.495434757765575 & 0.752282621117212 \tabularnewline
85 & 0.220613278116219 & 0.441226556232437 & 0.779386721883781 \tabularnewline
86 & 0.195853157116138 & 0.391706314232277 & 0.804146842883862 \tabularnewline
87 & 0.195684025084155 & 0.391368050168311 & 0.804315974915845 \tabularnewline
88 & 0.183380304261543 & 0.366760608523086 & 0.816619695738457 \tabularnewline
89 & 0.162041968841837 & 0.324083937683674 & 0.837958031158163 \tabularnewline
90 & 0.14297757848047 & 0.28595515696094 & 0.85702242151953 \tabularnewline
91 & 0.128238748333050 & 0.256477496666100 & 0.87176125166695 \tabularnewline
92 & 0.114683123858605 & 0.229366247717209 & 0.885316876141395 \tabularnewline
93 & 0.103121273654784 & 0.206242547309568 & 0.896878726345216 \tabularnewline
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98 & 0.231978745446363 & 0.463957490892725 & 0.768021254553637 \tabularnewline
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100 & 0.324425311064147 & 0.648850622128295 & 0.675574688935853 \tabularnewline
101 & 0.315653406795282 & 0.631306813590563 & 0.684346593204718 \tabularnewline
102 & 0.292734428095819 & 0.585468856191637 & 0.707265571904181 \tabularnewline
103 & 0.282701651930315 & 0.565403303860629 & 0.717298348069685 \tabularnewline
104 & 0.262985843581107 & 0.525971687162215 & 0.737014156418893 \tabularnewline
105 & 0.287166018163595 & 0.57433203632719 & 0.712833981836405 \tabularnewline
106 & 0.294085774134586 & 0.588171548269171 & 0.705914225865414 \tabularnewline
107 & 0.269088078288567 & 0.538176156577133 & 0.730911921711433 \tabularnewline
108 & 0.24557837008612 & 0.49115674017224 & 0.75442162991388 \tabularnewline
109 & 0.221008164383638 & 0.442016328767275 & 0.778991835616362 \tabularnewline
110 & 0.260498544631004 & 0.520997089262009 & 0.739501455368996 \tabularnewline
111 & 0.288208657122086 & 0.576417314244172 & 0.711791342877914 \tabularnewline
112 & 0.379973410691777 & 0.759946821383555 & 0.620026589308223 \tabularnewline
113 & 0.363169550099899 & 0.726339100199799 & 0.6368304499001 \tabularnewline
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115 & 0.370484851571458 & 0.740969703142916 & 0.629515148428542 \tabularnewline
116 & 0.349077098405653 & 0.698154196811306 & 0.650922901594347 \tabularnewline
117 & 0.32087065319605 & 0.6417413063921 & 0.67912934680395 \tabularnewline
118 & 0.29625750882037 & 0.59251501764074 & 0.70374249117963 \tabularnewline
119 & 0.368405063424719 & 0.736810126849438 & 0.631594936575281 \tabularnewline
120 & 0.368287649176508 & 0.736575298353016 & 0.631712350823492 \tabularnewline
121 & 0.34006202776992 & 0.68012405553984 & 0.65993797223008 \tabularnewline
122 & 0.316539078365579 & 0.633078156731157 & 0.683460921634421 \tabularnewline
123 & 0.316845365248438 & 0.633690730496876 & 0.683154634751562 \tabularnewline
124 & 0.307401692574259 & 0.614803385148517 & 0.692598307425741 \tabularnewline
125 & 0.28605673505039 & 0.57211347010078 & 0.71394326494961 \tabularnewline
126 & 0.262006338334213 & 0.524012676668426 & 0.737993661665787 \tabularnewline
127 & 0.23810267596694 & 0.47620535193388 & 0.76189732403306 \tabularnewline
128 & 0.43091398436594 & 0.86182796873188 & 0.56908601563406 \tabularnewline
129 & 0.40345478676671 & 0.80690957353342 & 0.59654521323329 \tabularnewline
130 & 0.376550317184880 & 0.753100634369761 & 0.62344968281512 \tabularnewline
131 & 0.349863878189307 & 0.699727756378614 & 0.650136121810693 \tabularnewline
132 & 0.355221023177313 & 0.710442046354626 & 0.644778976822687 \tabularnewline
133 & 0.328947223920951 & 0.657894447841903 & 0.671052776079049 \tabularnewline
134 & 0.338976507576099 & 0.677953015152199 & 0.661023492423901 \tabularnewline
135 & 0.317823763574611 & 0.635647527149222 & 0.682176236425389 \tabularnewline
136 & 0.371533967740455 & 0.74306793548091 & 0.628466032259545 \tabularnewline
137 & 0.347995668299839 & 0.695991336599677 & 0.652004331700161 \tabularnewline
138 & 0.325850299543541 & 0.651700599087082 & 0.674149700456459 \tabularnewline
139 & 0.302892175318340 & 0.605784350636681 & 0.69710782468166 \tabularnewline
140 & 0.278430279497315 & 0.556860558994629 & 0.721569720502685 \tabularnewline
141 & 0.264497885056243 & 0.528995770112486 & 0.735502114943757 \tabularnewline
142 & 0.305342739475214 & 0.610685478950428 & 0.694657260524786 \tabularnewline
143 & 0.309417441027037 & 0.618834882054075 & 0.690582558972963 \tabularnewline
144 & 0.323565053682776 & 0.647130107365552 & 0.676434946317224 \tabularnewline
145 & 0.298591245860875 & 0.59718249172175 & 0.701408754139125 \tabularnewline
146 & 0.275008167830431 & 0.550016335660861 & 0.72499183216957 \tabularnewline
147 & 0.255909207418804 & 0.511818414837609 & 0.744090792581195 \tabularnewline
148 & 0.316714243388081 & 0.633428486776163 & 0.683285756611919 \tabularnewline
149 & 0.299652973393635 & 0.599305946787269 & 0.700347026606365 \tabularnewline
150 & 0.281933933011631 & 0.563867866023263 & 0.718066066988369 \tabularnewline
151 & 0.265910843318733 & 0.531821686637467 & 0.734089156681267 \tabularnewline
152 & 0.244948038770734 & 0.489896077541469 & 0.755051961229266 \tabularnewline
153 & 0.262605032662294 & 0.525210065324589 & 0.737394967337706 \tabularnewline
154 & 0.324344923419577 & 0.648689846839154 & 0.675655076580423 \tabularnewline
155 & 0.304492084857122 & 0.608984169714245 & 0.695507915142878 \tabularnewline
156 & 0.308808279963514 & 0.617616559927029 & 0.691191720036486 \tabularnewline
157 & 0.287175432795016 & 0.574350865590031 & 0.712824567204984 \tabularnewline
158 & 0.284992697211385 & 0.56998539442277 & 0.715007302788615 \tabularnewline
159 & 0.261851795231857 & 0.523703590463715 & 0.738148204768143 \tabularnewline
160 & 0.433834204202909 & 0.867668408405817 & 0.566165795797091 \tabularnewline
161 & 0.411848785671342 & 0.823697571342685 & 0.588151214328658 \tabularnewline
162 & 0.396644302398449 & 0.793288604796898 & 0.603355697601551 \tabularnewline
163 & 0.391990500973101 & 0.783981001946202 & 0.608009499026899 \tabularnewline
164 & 0.369029193737208 & 0.738058387474417 & 0.630970806262792 \tabularnewline
165 & 0.344310855850972 & 0.688621711701944 & 0.655689144149028 \tabularnewline
166 & 0.33439011684648 & 0.66878023369296 & 0.66560988315352 \tabularnewline
167 & 0.355841276317500 & 0.711682552635001 & 0.6441587236825 \tabularnewline
168 & 0.376718055000655 & 0.753436110001311 & 0.623281944999345 \tabularnewline
169 & 0.385655063626296 & 0.771310127252592 & 0.614344936373704 \tabularnewline
170 & 0.526945141013547 & 0.946109717972906 & 0.473054858986453 \tabularnewline
171 & 0.538194720579387 & 0.923610558841226 & 0.461805279420613 \tabularnewline
172 & 0.572129341857073 & 0.855741316285853 & 0.427870658142927 \tabularnewline
173 & 0.829160655639426 & 0.341678688721147 & 0.170839344360574 \tabularnewline
174 & 0.817896741173955 & 0.364206517652091 & 0.182103258826045 \tabularnewline
175 & 0.817112999173845 & 0.365774001652311 & 0.182887000826155 \tabularnewline
176 & 0.79950085144131 & 0.400998297117379 & 0.200499148558689 \tabularnewline
177 & 0.801379114599088 & 0.397241770801824 & 0.198620885400912 \tabularnewline
178 & 0.78348008058585 & 0.433039838828299 & 0.216519919414150 \tabularnewline
179 & 0.781092637308608 & 0.437814725382784 & 0.218907362691392 \tabularnewline
180 & 0.820267863985378 & 0.359464272029243 & 0.179732136014622 \tabularnewline
181 & 0.846733267277472 & 0.306533465445056 & 0.153266732722528 \tabularnewline
182 & 0.839654633748004 & 0.320690732503992 & 0.160345366251996 \tabularnewline
183 & 0.823363311905885 & 0.353273376188231 & 0.176636688094116 \tabularnewline
184 & 0.840714448577653 & 0.318571102844693 & 0.159285551422347 \tabularnewline
185 & 0.848214524093253 & 0.303570951813493 & 0.151785475906747 \tabularnewline
186 & 0.833527741926025 & 0.332944516147950 & 0.166472258073975 \tabularnewline
187 & 0.836873465092906 & 0.326253069814187 & 0.163126534907094 \tabularnewline
188 & 0.829037991642527 & 0.341924016714946 & 0.170962008357473 \tabularnewline
189 & 0.81514605839746 & 0.369707883205079 & 0.184853941602539 \tabularnewline
190 & 0.885162688141777 & 0.229674623716446 & 0.114837311858223 \tabularnewline
191 & 0.874639903179933 & 0.250720193640133 & 0.125360096820067 \tabularnewline
192 & 0.86340901678793 & 0.273181966424140 & 0.136590983212070 \tabularnewline
193 & 0.861225685227022 & 0.277548629545956 & 0.138774314772978 \tabularnewline
194 & 0.879139190977416 & 0.241721618045168 & 0.120860809022584 \tabularnewline
195 & 0.877197151542178 & 0.245605696915644 & 0.122802848457822 \tabularnewline
196 & 0.86380599848294 & 0.272388003034119 & 0.136194001517060 \tabularnewline
197 & 0.850782783467781 & 0.298434433064438 & 0.149217216532219 \tabularnewline
198 & 0.835250653639749 & 0.329498692720503 & 0.164749346360251 \tabularnewline
199 & 0.821275997573706 & 0.357448004852588 & 0.178724002426294 \tabularnewline
200 & 0.81605326601181 & 0.367893467976380 & 0.183946733988190 \tabularnewline
201 & 0.830767024162407 & 0.338465951675187 & 0.169232975837593 \tabularnewline
202 & 0.819660150364937 & 0.360679699270127 & 0.180339849635063 \tabularnewline
203 & 0.80279731255617 & 0.394405374887659 & 0.197202687443829 \tabularnewline
204 & 0.821266445277448 & 0.357467109445103 & 0.178733554722552 \tabularnewline
205 & 0.807941073035783 & 0.384117853928433 & 0.192058926964217 \tabularnewline
206 & 0.801763975228487 & 0.396472049543026 & 0.198236024771513 \tabularnewline
207 & 0.836729776345918 & 0.326540447308164 & 0.163270223654082 \tabularnewline
208 & 0.920371843115074 & 0.159256313769853 & 0.0796281568849264 \tabularnewline
209 & 0.914543845929724 & 0.170912308140552 & 0.0854561540702762 \tabularnewline
210 & 0.904489247413934 & 0.191021505172131 & 0.0955107525860655 \tabularnewline
211 & 0.923595340263568 & 0.152809319472864 & 0.0764046597364322 \tabularnewline
212 & 0.915114224263069 & 0.169771551473862 & 0.0848857757369311 \tabularnewline
213 & 0.924267523800786 & 0.151464952398428 & 0.0757324761992138 \tabularnewline
214 & 0.91759733832153 & 0.164805323356942 & 0.082402661678471 \tabularnewline
215 & 0.908788096280659 & 0.182423807438682 & 0.091211903719341 \tabularnewline
216 & 0.898192406902692 & 0.203615186194616 & 0.101807593097308 \tabularnewline
217 & 0.922154533947227 & 0.155690932105546 & 0.077845466052773 \tabularnewline
218 & 0.921905479311153 & 0.156189041377693 & 0.0780945206888467 \tabularnewline
219 & 0.912268252339276 & 0.175463495321448 & 0.0877317476607238 \tabularnewline
220 & 0.968926965733718 & 0.0621460685325642 & 0.0310730342662821 \tabularnewline
221 & 0.973572474116007 & 0.0528550517679864 & 0.0264275258839932 \tabularnewline
222 & 0.980467777474086 & 0.0390644450518288 & 0.0195322225259144 \tabularnewline
223 & 0.979974147043325 & 0.0400517059133503 & 0.0200258529566752 \tabularnewline
224 & 0.977860118269305 & 0.0442797634613903 & 0.0221398817306951 \tabularnewline
225 & 0.976831110683189 & 0.046337778633623 & 0.0231688893168115 \tabularnewline
226 & 0.973112478204873 & 0.0537750435902542 & 0.0268875217951271 \tabularnewline
227 & 0.97204811862753 & 0.0559037627449419 & 0.0279518813724710 \tabularnewline
228 & 0.968565422611082 & 0.0628691547778356 & 0.0314345773889178 \tabularnewline
229 & 0.965417733248148 & 0.0691645335037046 & 0.0345822667518523 \tabularnewline
230 & 0.961594426078202 & 0.0768111478435961 & 0.0384055739217981 \tabularnewline
231 & 0.962707189517046 & 0.0745856209659079 & 0.0372928104829539 \tabularnewline
232 & 0.957356909519828 & 0.085286180960343 & 0.0426430904801715 \tabularnewline
233 & 0.95227394916609 & 0.0954521016678207 & 0.0477260508339104 \tabularnewline
234 & 0.973916132209025 & 0.0521677355819503 & 0.0260838677909751 \tabularnewline
235 & 0.975177333932856 & 0.0496453321342884 & 0.0248226660671442 \tabularnewline
236 & 0.983112542316408 & 0.0337749153671848 & 0.0168874576835924 \tabularnewline
237 & 0.980241171312233 & 0.0395176573755344 & 0.0197588286877672 \tabularnewline
238 & 0.98825094888413 & 0.023498102231739 & 0.0117490511158695 \tabularnewline
239 & 0.99192883308501 & 0.0161423338299811 & 0.00807116691499055 \tabularnewline
240 & 0.990746549530949 & 0.0185069009381021 & 0.00925345046905105 \tabularnewline
241 & 0.989108344679557 & 0.021783310640886 & 0.010891655320443 \tabularnewline
242 & 0.98722477253206 & 0.0255504549358810 & 0.0127752274679405 \tabularnewline
243 & 0.985114705675673 & 0.0297705886486532 & 0.0148852943243266 \tabularnewline
244 & 0.98345506676548 & 0.0330898664690416 & 0.0165449332345208 \tabularnewline
245 & 0.983221928661067 & 0.0335561426778653 & 0.0167780713389327 \tabularnewline
246 & 0.980682774452137 & 0.0386344510957267 & 0.0193172255478633 \tabularnewline
247 & 0.978556372684823 & 0.0428872546303548 & 0.0214436273151774 \tabularnewline
248 & 0.975151271070935 & 0.04969745785813 & 0.024848728929065 \tabularnewline
249 & 0.974398143271633 & 0.0512037134567339 & 0.0256018567283669 \tabularnewline
250 & 0.977604089848685 & 0.0447918203026307 & 0.0223959101513153 \tabularnewline
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252 & 0.977366110969594 & 0.0452677780608124 & 0.0226338890304062 \tabularnewline
253 & 0.973893528136747 & 0.0522129437265059 & 0.0261064718632530 \tabularnewline
254 & 0.969849136596036 & 0.0603017268079275 & 0.0301508634039637 \tabularnewline
255 & 0.96539779624307 & 0.06920440751386 & 0.03460220375693 \tabularnewline
256 & 0.96022601185168 & 0.0795479762966405 & 0.0397739881483203 \tabularnewline
257 & 0.954370083413461 & 0.0912598331730775 & 0.0456299165865387 \tabularnewline
258 & 0.948654031261504 & 0.102691937476991 & 0.0513459687384955 \tabularnewline
259 & 0.94705288139247 & 0.105894237215060 & 0.0529471186075302 \tabularnewline
260 & 0.939851331891663 & 0.120297336216674 & 0.0601486681083368 \tabularnewline
261 & 0.94499259234745 & 0.110014815305099 & 0.0550074076525494 \tabularnewline
262 & 0.938185830512635 & 0.123628338974729 & 0.0618141694873645 \tabularnewline
263 & 0.935898596514567 & 0.128202806970866 & 0.0641014034854332 \tabularnewline
264 & 0.946824288744924 & 0.106351422510153 & 0.0531757112550763 \tabularnewline
265 & 0.939697997693463 & 0.120604004613073 & 0.0603020023065367 \tabularnewline
266 & 0.938024230735373 & 0.123951538529255 & 0.0619757692646274 \tabularnewline
267 & 0.951372271861866 & 0.0972554562762681 & 0.0486277281381341 \tabularnewline
268 & 0.954015314026367 & 0.0919693719472654 & 0.0459846859736327 \tabularnewline
269 & 0.961082756721132 & 0.0778344865577369 & 0.0389172432788684 \tabularnewline
270 & 0.973143966051943 & 0.0537120678961144 & 0.0268560339480572 \tabularnewline
271 & 0.973381188177362 & 0.0532376236452765 & 0.0266188118226382 \tabularnewline
272 & 0.970406402830654 & 0.0591871943386927 & 0.0295935971693463 \tabularnewline
273 & 0.969652085285498 & 0.0606958294290037 & 0.0303479147145019 \tabularnewline
274 & 0.965690504520407 & 0.0686189909591852 & 0.0343094954795926 \tabularnewline
275 & 0.96136795565127 & 0.0772640886974598 & 0.0386320443487299 \tabularnewline
276 & 0.958554851083111 & 0.0828902978337773 & 0.0414451489168887 \tabularnewline
277 & 0.988823342310278 & 0.0223533153794440 & 0.0111766576897220 \tabularnewline
278 & 0.98750912905102 & 0.0249817418979593 & 0.0124908709489797 \tabularnewline
279 & 0.985838087257956 & 0.0283238254840885 & 0.0141619127420442 \tabularnewline
280 & 0.987356644506536 & 0.0252867109869278 & 0.0126433554934639 \tabularnewline
281 & 0.985601292814702 & 0.0287974143705965 & 0.0143987071852982 \tabularnewline
282 & 0.98487158781296 & 0.0302568243740816 & 0.0151284121870408 \tabularnewline
283 & 0.991280749033631 & 0.0174385019327379 & 0.00871925096636895 \tabularnewline
284 & 0.989661854409342 & 0.0206762911813166 & 0.0103381455906583 \tabularnewline
285 & 0.993234556219996 & 0.0135308875600084 & 0.0067654437800042 \tabularnewline
286 & 0.995265745635924 & 0.00946850872815113 & 0.00473425436407557 \tabularnewline
287 & 0.995198618072474 & 0.00960276385505292 & 0.00480138192752646 \tabularnewline
288 & 0.99492773300367 & 0.0101445339926614 & 0.00507226699633072 \tabularnewline
289 & 0.99564545230718 & 0.00870909538564145 & 0.00435454769282072 \tabularnewline
290 & 0.995173759436738 & 0.0096524811265247 & 0.00482624056326235 \tabularnewline
291 & 0.99662425034588 & 0.00675149930824047 & 0.00337574965412023 \tabularnewline
292 & 0.996203367594488 & 0.0075932648110238 & 0.0037966324055119 \tabularnewline
293 & 0.995546418736232 & 0.00890716252753695 & 0.00445358126376848 \tabularnewline
294 & 0.995317453634491 & 0.00936509273101722 & 0.00468254636550861 \tabularnewline
295 & 0.994769098565207 & 0.0104618028695862 & 0.00523090143479308 \tabularnewline
296 & 0.994120084222043 & 0.0117598315559142 & 0.00587991577795712 \tabularnewline
297 & 0.99462058021914 & 0.0107588395617211 & 0.00537941978086053 \tabularnewline
298 & 0.993527739588538 & 0.0129445208229240 & 0.00647226041146199 \tabularnewline
299 & 0.992436174281139 & 0.0151276514377228 & 0.0075638257188614 \tabularnewline
300 & 0.992003797856664 & 0.0159924042866726 & 0.00799620214333632 \tabularnewline
301 & 0.990558149726933 & 0.0188837005461337 & 0.00944185027306686 \tabularnewline
302 & 0.989518869941092 & 0.0209622601178167 & 0.0104811300589084 \tabularnewline
303 & 0.987529430258744 & 0.0249411394825113 & 0.0124705697412557 \tabularnewline
304 & 0.98561857392975 & 0.0287628521405007 & 0.0143814260702504 \tabularnewline
305 & 0.986385662079163 & 0.0272286758416745 & 0.0136143379208373 \tabularnewline
306 & 0.98445727282046 & 0.0310854543590797 & 0.0155427271795399 \tabularnewline
307 & 0.984623555300239 & 0.0307528893995223 & 0.0153764446997611 \tabularnewline
308 & 0.983155039723496 & 0.0336899205530078 & 0.0168449602765039 \tabularnewline
309 & 0.98037816318784 & 0.0392436736243215 & 0.0196218368121608 \tabularnewline
310 & 0.990307561358796 & 0.0193848772824088 & 0.00969243864120439 \tabularnewline
311 & 0.988469532980934 & 0.0230609340381326 & 0.0115304670190663 \tabularnewline
312 & 0.987043078473955 & 0.0259138430520908 & 0.0129569215260454 \tabularnewline
313 & 0.985934537679401 & 0.0281309246411975 & 0.0140654623205988 \tabularnewline
314 & 0.983405502104802 & 0.0331889957903954 & 0.0165944978951977 \tabularnewline
315 & 0.980580581945553 & 0.0388388361088947 & 0.0194194180544473 \tabularnewline
316 & 0.977617237124882 & 0.0447655257502355 & 0.0223827628751178 \tabularnewline
317 & 0.97727533426486 & 0.0454493314702812 & 0.0227246657351406 \tabularnewline
318 & 0.983045089067345 & 0.0339098218653098 & 0.0169549109326549 \tabularnewline
319 & 0.988182273430612 & 0.0236354531387753 & 0.0118177265693876 \tabularnewline
320 & 0.986092439984305 & 0.0278151200313898 & 0.0139075600156949 \tabularnewline
321 & 0.983926087831865 & 0.0321478243362708 & 0.0160739121681354 \tabularnewline
322 & 0.98723998569247 & 0.0255200286150613 & 0.0127600143075307 \tabularnewline
323 & 0.98494371952724 & 0.0301125609455205 & 0.0150562804727602 \tabularnewline
324 & 0.983160525966415 & 0.0336789480671706 & 0.0168394740335853 \tabularnewline
325 & 0.980378996495161 & 0.0392420070096771 & 0.0196210035048386 \tabularnewline
326 & 0.97812297328348 & 0.0437540534330389 & 0.0218770267165195 \tabularnewline
327 & 0.982328730221918 & 0.0353425395561646 & 0.0176712697780823 \tabularnewline
328 & 0.983737249594588 & 0.0325255008108250 & 0.0162627504054125 \tabularnewline
329 & 0.981896669596623 & 0.0362066608067548 & 0.0181033304033774 \tabularnewline
330 & 0.98169791963263 & 0.0366041607347383 & 0.0183020803673692 \tabularnewline
331 & 0.978936694876966 & 0.0421266102460683 & 0.0210633051230342 \tabularnewline
332 & 0.976087294657416 & 0.0478254106851689 & 0.0239127053425845 \tabularnewline
333 & 0.979429147187818 & 0.0411417056243632 & 0.0205708528121816 \tabularnewline
334 & 0.977697078002435 & 0.0446058439951298 & 0.0223029219975649 \tabularnewline
335 & 0.97629100349839 & 0.0474179930032212 & 0.0237089965016106 \tabularnewline
336 & 0.972171984067192 & 0.0556560318656163 & 0.0278280159328081 \tabularnewline
337 & 0.967494837409687 & 0.0650103251806258 & 0.0325051625903129 \tabularnewline
338 & 0.97127229139916 & 0.0574554172016815 & 0.0287277086008408 \tabularnewline
339 & 0.978684232836487 & 0.0426315343270265 & 0.0213157671635132 \tabularnewline
340 & 0.976618443888364 & 0.046763112223272 & 0.023381556111636 \tabularnewline
341 & 0.97445957885602 & 0.0510808422879589 & 0.0255404211439794 \tabularnewline
342 & 0.97220536578944 & 0.055589268421121 & 0.0277946342105605 \tabularnewline
343 & 0.968214333719656 & 0.063571332560687 & 0.0317856662803435 \tabularnewline
344 & 0.966804240037781 & 0.0663915199244374 & 0.0331957599622187 \tabularnewline
345 & 0.965610728624588 & 0.0687785427508248 & 0.0343892713754124 \tabularnewline
346 & 0.976398582689982 & 0.0472028346200358 & 0.0236014173100179 \tabularnewline
347 & 0.972869553293255 & 0.054260893413489 & 0.0271304467067445 \tabularnewline
348 & 0.969062438318403 & 0.0618751233631944 & 0.0309375616815972 \tabularnewline
349 & 0.975446648193 & 0.0491067036140019 & 0.0245533518070010 \tabularnewline
350 & 0.974432476399474 & 0.0511350472010523 & 0.0255675236005261 \tabularnewline
351 & 0.97781087501852 & 0.0443782499629614 & 0.0221891249814807 \tabularnewline
352 & 0.9841411416218 & 0.031717716756401 & 0.0158588583782005 \tabularnewline
353 & 0.981225830045557 & 0.0375483399088868 & 0.0187741699544434 \tabularnewline
354 & 0.977907726509663 & 0.0441845469806741 & 0.0220922734903370 \tabularnewline
355 & 0.98134116198771 & 0.0373176760245808 & 0.0186588380122904 \tabularnewline
356 & 0.977923417242344 & 0.044153165515313 & 0.0220765827576565 \tabularnewline
357 & 0.98397006873503 & 0.0320598625299399 & 0.0160299312649700 \tabularnewline
358 & 0.981571540147572 & 0.0368569197048561 & 0.0184284598524280 \tabularnewline
359 & 0.979227152987177 & 0.0415456940256464 & 0.0207728470128232 \tabularnewline
360 & 0.978242131851375 & 0.0435157362972506 & 0.0217578681486253 \tabularnewline
361 & 0.989790263797168 & 0.020419472405665 & 0.0102097362028325 \tabularnewline
362 & 0.987644560200837 & 0.0247108795983266 & 0.0123554397991633 \tabularnewline
363 & 0.985165689446784 & 0.0296686211064318 & 0.0148343105532159 \tabularnewline
364 & 0.98214755023021 & 0.0357048995395786 & 0.0178524497697893 \tabularnewline
365 & 0.979563903390756 & 0.0408721932184887 & 0.0204360966092444 \tabularnewline
366 & 0.976593522503984 & 0.0468129549920325 & 0.0234064774960162 \tabularnewline
367 & 0.97220985212388 & 0.0555802957522392 & 0.0277901478761196 \tabularnewline
368 & 0.967109007054974 & 0.0657819858900517 & 0.0328909929450259 \tabularnewline
369 & 0.973785686155617 & 0.0524286276887656 & 0.0262143138443828 \tabularnewline
370 & 0.97346084915815 & 0.0530783016836993 & 0.0265391508418497 \tabularnewline
371 & 0.971307838030097 & 0.0573843239398061 & 0.0286921619699031 \tabularnewline
372 & 0.967938262319151 & 0.0641234753616974 & 0.0320617376808487 \tabularnewline
373 & 0.97432228376305 & 0.0513554324739007 & 0.0256777162369503 \tabularnewline
374 & 0.969412854703068 & 0.0611742905938647 & 0.0305871452969323 \tabularnewline
375 & 0.964485312816952 & 0.0710293743660963 & 0.0355146871830482 \tabularnewline
376 & 0.959208916339544 & 0.0815821673209127 & 0.0407910836604564 \tabularnewline
377 & 0.952593746015176 & 0.094812507969649 & 0.0474062539848245 \tabularnewline
378 & 0.951837680692876 & 0.0963246386142485 & 0.0481623193071243 \tabularnewline
379 & 0.945496681125166 & 0.109006637749667 & 0.0545033188748336 \tabularnewline
380 & 0.938618866729262 & 0.122762266541476 & 0.0613811332707381 \tabularnewline
381 & 0.92972665864585 & 0.140546682708301 & 0.0702733413541504 \tabularnewline
382 & 0.918701311809335 & 0.162597376381330 & 0.0812986881906649 \tabularnewline
383 & 0.906596468795818 & 0.186807062408364 & 0.093403531204182 \tabularnewline
384 & 0.89754663050837 & 0.204906738983262 & 0.102453369491631 \tabularnewline
385 & 0.882974297457787 & 0.234051405084426 & 0.117025702542213 \tabularnewline
386 & 0.936867403857722 & 0.126265192284557 & 0.0631325961422783 \tabularnewline
387 & 0.92713339829253 & 0.145733203414942 & 0.0728666017074709 \tabularnewline
388 & 0.918846447941639 & 0.162307104116723 & 0.0811535520583613 \tabularnewline
389 & 0.931797926107567 & 0.136404147784866 & 0.068202073892433 \tabularnewline
390 & 0.941142330898837 & 0.117715338202326 & 0.0588576691011628 \tabularnewline
391 & 0.933640128756322 & 0.132719742487357 & 0.0663598712436783 \tabularnewline
392 & 0.922889448313233 & 0.154221103373534 & 0.0771105516867668 \tabularnewline
393 & 0.922152711663463 & 0.155694576673074 & 0.077847288336537 \tabularnewline
394 & 0.926301924334641 & 0.147396151330717 & 0.0736980756653587 \tabularnewline
395 & 0.9504162928981 & 0.0991674142037988 & 0.0495837071018994 \tabularnewline
396 & 0.964883608282382 & 0.0702327834352368 & 0.0351163917176184 \tabularnewline
397 & 0.95864779706385 & 0.0827044058723004 & 0.0413522029361502 \tabularnewline
398 & 0.95241734009211 & 0.0951653198157815 & 0.0475826599078907 \tabularnewline
399 & 0.96571307132123 & 0.0685738573575414 & 0.0342869286787707 \tabularnewline
400 & 0.958990308888628 & 0.0820193822227439 & 0.0410096911113719 \tabularnewline
401 & 0.951308825450476 & 0.0973823490990476 & 0.0486911745495238 \tabularnewline
402 & 0.943046675285013 & 0.113906649429973 & 0.0569533247149866 \tabularnewline
403 & 0.932989804056466 & 0.134020391887068 & 0.067010195943534 \tabularnewline
404 & 0.921380146067922 & 0.157239707864156 & 0.0786198539320781 \tabularnewline
405 & 0.90800309058131 & 0.183993818837379 & 0.0919969094186896 \tabularnewline
406 & 0.893163660449984 & 0.213672679100032 & 0.106836339550016 \tabularnewline
407 & 0.929635786784258 & 0.140728426431483 & 0.0703642132157417 \tabularnewline
408 & 0.926145909130266 & 0.147708181739468 & 0.073854090869734 \tabularnewline
409 & 0.913170906401247 & 0.173658187197506 & 0.086829093598753 \tabularnewline
410 & 0.902285232098681 & 0.195429535802638 & 0.097714767901319 \tabularnewline
411 & 0.912787222480036 & 0.174425555039929 & 0.0872127775199644 \tabularnewline
412 & 0.907031284147462 & 0.185937431705077 & 0.0929687158525384 \tabularnewline
413 & 0.903074080520079 & 0.193851838959843 & 0.0969259194799214 \tabularnewline
414 & 0.895460659309488 & 0.209078681381024 & 0.104539340690512 \tabularnewline
415 & 0.888067542730856 & 0.223864914538289 & 0.111932457269144 \tabularnewline
416 & 0.886358997794428 & 0.227282004411145 & 0.113641002205572 \tabularnewline
417 & 0.881974360676482 & 0.236051278647036 & 0.118025639323518 \tabularnewline
418 & 0.867797992351666 & 0.264404015296667 & 0.132202007648334 \tabularnewline
419 & 0.8617300338822 & 0.276539932235601 & 0.138269966117801 \tabularnewline
420 & 0.846984161729812 & 0.306031676540377 & 0.153015838270188 \tabularnewline
421 & 0.826911659616577 & 0.346176680766847 & 0.173088340383423 \tabularnewline
422 & 0.824892580235334 & 0.350214839529333 & 0.175107419764666 \tabularnewline
423 & 0.840493550577349 & 0.319012898845302 & 0.159506449422651 \tabularnewline
424 & 0.897776986474284 & 0.204446027051431 & 0.102223013525716 \tabularnewline
425 & 0.955201920592635 & 0.0895961588147292 & 0.0447980794073646 \tabularnewline
426 & 0.94552688920738 & 0.108946221585240 & 0.0544731107926201 \tabularnewline
427 & 0.954480068496786 & 0.091039863006429 & 0.0455199315032145 \tabularnewline
428 & 0.946643090938338 & 0.106713818123323 & 0.0533569090616616 \tabularnewline
429 & 0.936802705344778 & 0.126394589310444 & 0.0631972946552218 \tabularnewline
430 & 0.930479682516298 & 0.139040634967404 & 0.069520317483702 \tabularnewline
431 & 0.916376360744788 & 0.167247278510425 & 0.0836236392552124 \tabularnewline
432 & 0.913051524618906 & 0.173896950762188 & 0.0869484753810938 \tabularnewline
433 & 0.907167737235613 & 0.185664525528773 & 0.0928322627643866 \tabularnewline
434 & 0.96548913856934 & 0.0690217228613198 & 0.0345108614306599 \tabularnewline
435 & 0.960671929165294 & 0.0786561416694116 & 0.0393280708347058 \tabularnewline
436 & 0.96247300715005 & 0.0750539856999007 & 0.0375269928499503 \tabularnewline
437 & 0.953542683887631 & 0.0929146322247373 & 0.0464573161123686 \tabularnewline
438 & 0.947928632175398 & 0.104142735649204 & 0.052071367824602 \tabularnewline
439 & 0.975477306086606 & 0.0490453878267887 & 0.0245226939133943 \tabularnewline
440 & 0.979677317113013 & 0.0406453657739738 & 0.0203226828869869 \tabularnewline
441 & 0.976244940737622 & 0.0475101185247557 & 0.0237550592623779 \tabularnewline
442 & 0.969853599171495 & 0.0602928016570103 & 0.0301464008285051 \tabularnewline
443 & 0.985673235994035 & 0.0286535280119306 & 0.0143267640059653 \tabularnewline
444 & 0.981359100957893 & 0.0372817980842145 & 0.0186408990421072 \tabularnewline
445 & 0.975426607037656 & 0.0491467859246869 & 0.0245733929623435 \tabularnewline
446 & 0.96837152301566 & 0.0632569539686796 & 0.0316284769843398 \tabularnewline
447 & 0.972337911393451 & 0.0553241772130976 & 0.0276620886065488 \tabularnewline
448 & 0.965320824995349 & 0.0693583500093025 & 0.0346791750046513 \tabularnewline
449 & 0.985824185201697 & 0.0283516295966057 & 0.0141758147983029 \tabularnewline
450 & 0.981245917089629 & 0.0375081658207427 & 0.0187540829103713 \tabularnewline
451 & 0.98616960667381 & 0.0276607866523793 & 0.0138303933261896 \tabularnewline
452 & 0.981258632710083 & 0.0374827345798348 & 0.0187413672899174 \tabularnewline
453 & 0.97743710204841 & 0.0451257959031791 & 0.0225628979515896 \tabularnewline
454 & 0.970395949991471 & 0.0592081000170574 & 0.0296040500085287 \tabularnewline
455 & 0.960747285296711 & 0.0785054294065772 & 0.0392527147032886 \tabularnewline
456 & 0.948341863022659 & 0.103316273954683 & 0.0516581369773413 \tabularnewline
457 & 0.933545024027253 & 0.132909951945493 & 0.0664549759727467 \tabularnewline
458 & 0.935259301846438 & 0.129481396307123 & 0.0647406981535616 \tabularnewline
459 & 0.917884921003498 & 0.164230157993003 & 0.0821150789965015 \tabularnewline
460 & 0.910713467366314 & 0.178573065267373 & 0.0892865326336864 \tabularnewline
461 & 0.894158960195512 & 0.211682079608976 & 0.105841039804488 \tabularnewline
462 & 0.894427474822856 & 0.211145050354288 & 0.105572525177144 \tabularnewline
463 & 0.894396062596816 & 0.211207874806368 & 0.105603937403184 \tabularnewline
464 & 0.92501363667448 & 0.149972726651039 & 0.0749863633255193 \tabularnewline
465 & 0.96046175483629 & 0.0790764903274182 & 0.0395382451637091 \tabularnewline
466 & 0.948442749604758 & 0.103114500790485 & 0.0515572503952423 \tabularnewline
467 & 0.938535741772324 & 0.122928516455351 & 0.0614642582276756 \tabularnewline
468 & 0.917881301715214 & 0.164237396569572 & 0.082118698284786 \tabularnewline
469 & 0.898539266284156 & 0.202921467431688 & 0.101460733715844 \tabularnewline
470 & 0.866394696134029 & 0.267210607731942 & 0.133605303865971 \tabularnewline
471 & 0.834807724257285 & 0.330384551485430 & 0.165192275742715 \tabularnewline
472 & 0.795433984330114 & 0.409132031339772 & 0.204566015669886 \tabularnewline
473 & 0.840771430382092 & 0.318457139235816 & 0.159228569617908 \tabularnewline
474 & 0.837427727282819 & 0.325144545434362 & 0.162572272717181 \tabularnewline
475 & 0.813291062516846 & 0.373417874966308 & 0.186708937483154 \tabularnewline
476 & 0.863876249239013 & 0.272247501521975 & 0.136123750760988 \tabularnewline
477 & 0.910804652500367 & 0.178390694999266 & 0.089195347499633 \tabularnewline
478 & 0.94889989686035 & 0.102200206279299 & 0.0511001031396497 \tabularnewline
479 & 0.923461405793664 & 0.153077188412673 & 0.0765385942063363 \tabularnewline
480 & 0.886861417913852 & 0.226277164172295 & 0.113138582086148 \tabularnewline
481 & 0.846881324345009 & 0.306237351309983 & 0.153118675654991 \tabularnewline
482 & 0.786794584493695 & 0.426410831012609 & 0.213205415506305 \tabularnewline
483 & 0.737634912017364 & 0.524730175965273 & 0.262365087982636 \tabularnewline
484 & 0.645396952343834 & 0.709206095312332 & 0.354603047656166 \tabularnewline
485 & 0.705131009315543 & 0.589737981368915 & 0.294868990684458 \tabularnewline
486 & 0.719023076923238 & 0.561953846153523 & 0.280976923076762 \tabularnewline
487 & 0.602590850231261 & 0.794818299537478 & 0.397409149768739 \tabularnewline
488 & 0.546019167700662 & 0.907961664598677 & 0.453980832299338 \tabularnewline
489 & 0.868295471472984 & 0.263409057054032 & 0.131704528527016 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107657&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]11[/C][C]0.0526869268378438[/C][C]0.105373853675688[/C][C]0.947313073162156[/C][/ROW]
[ROW][C]12[/C][C]0.266114761145501[/C][C]0.532229522291002[/C][C]0.7338852388545[/C][/ROW]
[ROW][C]13[/C][C]0.271199590031095[/C][C]0.54239918006219[/C][C]0.728800409968905[/C][/ROW]
[ROW][C]14[/C][C]0.365481051150901[/C][C]0.730962102301801[/C][C]0.634518948849099[/C][/ROW]
[ROW][C]15[/C][C]0.298463607626666[/C][C]0.596927215253333[/C][C]0.701536392373334[/C][/ROW]
[ROW][C]16[/C][C]0.621005485305211[/C][C]0.757989029389578[/C][C]0.378994514694789[/C][/ROW]
[ROW][C]17[/C][C]0.524370887082578[/C][C]0.951258225834845[/C][C]0.475629112917422[/C][/ROW]
[ROW][C]18[/C][C]0.42824398518027[/C][C]0.85648797036054[/C][C]0.57175601481973[/C][/ROW]
[ROW][C]19[/C][C]0.849607705396088[/C][C]0.300784589207825[/C][C]0.150392294603912[/C][/ROW]
[ROW][C]20[/C][C]0.819863577418134[/C][C]0.360272845163732[/C][C]0.180136422581866[/C][/ROW]
[ROW][C]21[/C][C]0.772032225113229[/C][C]0.455935549773543[/C][C]0.227967774886771[/C][/ROW]
[ROW][C]22[/C][C]0.749247802855808[/C][C]0.501504394288385[/C][C]0.250752197144192[/C][/ROW]
[ROW][C]23[/C][C]0.687386118396392[/C][C]0.625227763207215[/C][C]0.312613881603608[/C][/ROW]
[ROW][C]24[/C][C]0.684277872187349[/C][C]0.631444255625302[/C][C]0.315722127812651[/C][/ROW]
[ROW][C]25[/C][C]0.625145476625848[/C][C]0.749709046748304[/C][C]0.374854523374152[/C][/ROW]
[ROW][C]26[/C][C]0.586960177958999[/C][C]0.826079644082001[/C][C]0.413039822041001[/C][/ROW]
[ROW][C]27[/C][C]0.521379478854006[/C][C]0.957241042291989[/C][C]0.478620521145994[/C][/ROW]
[ROW][C]28[/C][C]0.632709971065317[/C][C]0.734580057869367[/C][C]0.367290028934683[/C][/ROW]
[ROW][C]29[/C][C]0.604268668245125[/C][C]0.79146266350975[/C][C]0.395731331754875[/C][/ROW]
[ROW][C]30[/C][C]0.550694770474593[/C][C]0.898610459050813[/C][C]0.449305229525407[/C][/ROW]
[ROW][C]31[/C][C]0.513037259473815[/C][C]0.97392548105237[/C][C]0.486962740526185[/C][/ROW]
[ROW][C]32[/C][C]0.468776090728313[/C][C]0.937552181456627[/C][C]0.531223909271687[/C][/ROW]
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[ROW][C]325[/C][C]0.980378996495161[/C][C]0.0392420070096771[/C][C]0.0196210035048386[/C][/ROW]
[ROW][C]326[/C][C]0.97812297328348[/C][C]0.0437540534330389[/C][C]0.0218770267165195[/C][/ROW]
[ROW][C]327[/C][C]0.982328730221918[/C][C]0.0353425395561646[/C][C]0.0176712697780823[/C][/ROW]
[ROW][C]328[/C][C]0.983737249594588[/C][C]0.0325255008108250[/C][C]0.0162627504054125[/C][/ROW]
[ROW][C]329[/C][C]0.981896669596623[/C][C]0.0362066608067548[/C][C]0.0181033304033774[/C][/ROW]
[ROW][C]330[/C][C]0.98169791963263[/C][C]0.0366041607347383[/C][C]0.0183020803673692[/C][/ROW]
[ROW][C]331[/C][C]0.978936694876966[/C][C]0.0421266102460683[/C][C]0.0210633051230342[/C][/ROW]
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[ROW][C]333[/C][C]0.979429147187818[/C][C]0.0411417056243632[/C][C]0.0205708528121816[/C][/ROW]
[ROW][C]334[/C][C]0.977697078002435[/C][C]0.0446058439951298[/C][C]0.0223029219975649[/C][/ROW]
[ROW][C]335[/C][C]0.97629100349839[/C][C]0.0474179930032212[/C][C]0.0237089965016106[/C][/ROW]
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[ROW][C]337[/C][C]0.967494837409687[/C][C]0.0650103251806258[/C][C]0.0325051625903129[/C][/ROW]
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[ROW][C]340[/C][C]0.976618443888364[/C][C]0.046763112223272[/C][C]0.023381556111636[/C][/ROW]
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[ROW][C]408[/C][C]0.926145909130266[/C][C]0.147708181739468[/C][C]0.073854090869734[/C][/ROW]
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[ROW][C]411[/C][C]0.912787222480036[/C][C]0.174425555039929[/C][C]0.0872127775199644[/C][/ROW]
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[ROW][C]421[/C][C]0.826911659616577[/C][C]0.346176680766847[/C][C]0.173088340383423[/C][/ROW]
[ROW][C]422[/C][C]0.824892580235334[/C][C]0.350214839529333[/C][C]0.175107419764666[/C][/ROW]
[ROW][C]423[/C][C]0.840493550577349[/C][C]0.319012898845302[/C][C]0.159506449422651[/C][/ROW]
[ROW][C]424[/C][C]0.897776986474284[/C][C]0.204446027051431[/C][C]0.102223013525716[/C][/ROW]
[ROW][C]425[/C][C]0.955201920592635[/C][C]0.0895961588147292[/C][C]0.0447980794073646[/C][/ROW]
[ROW][C]426[/C][C]0.94552688920738[/C][C]0.108946221585240[/C][C]0.0544731107926201[/C][/ROW]
[ROW][C]427[/C][C]0.954480068496786[/C][C]0.091039863006429[/C][C]0.0455199315032145[/C][/ROW]
[ROW][C]428[/C][C]0.946643090938338[/C][C]0.106713818123323[/C][C]0.0533569090616616[/C][/ROW]
[ROW][C]429[/C][C]0.936802705344778[/C][C]0.126394589310444[/C][C]0.0631972946552218[/C][/ROW]
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[ROW][C]432[/C][C]0.913051524618906[/C][C]0.173896950762188[/C][C]0.0869484753810938[/C][/ROW]
[ROW][C]433[/C][C]0.907167737235613[/C][C]0.185664525528773[/C][C]0.0928322627643866[/C][/ROW]
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[ROW][C]435[/C][C]0.960671929165294[/C][C]0.0786561416694116[/C][C]0.0393280708347058[/C][/ROW]
[ROW][C]436[/C][C]0.96247300715005[/C][C]0.0750539856999007[/C][C]0.0375269928499503[/C][/ROW]
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[ROW][C]438[/C][C]0.947928632175398[/C][C]0.104142735649204[/C][C]0.052071367824602[/C][/ROW]
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[ROW][C]440[/C][C]0.979677317113013[/C][C]0.0406453657739738[/C][C]0.0203226828869869[/C][/ROW]
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[ROW][C]442[/C][C]0.969853599171495[/C][C]0.0602928016570103[/C][C]0.0301464008285051[/C][/ROW]
[ROW][C]443[/C][C]0.985673235994035[/C][C]0.0286535280119306[/C][C]0.0143267640059653[/C][/ROW]
[ROW][C]444[/C][C]0.981359100957893[/C][C]0.0372817980842145[/C][C]0.0186408990421072[/C][/ROW]
[ROW][C]445[/C][C]0.975426607037656[/C][C]0.0491467859246869[/C][C]0.0245733929623435[/C][/ROW]
[ROW][C]446[/C][C]0.96837152301566[/C][C]0.0632569539686796[/C][C]0.0316284769843398[/C][/ROW]
[ROW][C]447[/C][C]0.972337911393451[/C][C]0.0553241772130976[/C][C]0.0276620886065488[/C][/ROW]
[ROW][C]448[/C][C]0.965320824995349[/C][C]0.0693583500093025[/C][C]0.0346791750046513[/C][/ROW]
[ROW][C]449[/C][C]0.985824185201697[/C][C]0.0283516295966057[/C][C]0.0141758147983029[/C][/ROW]
[ROW][C]450[/C][C]0.981245917089629[/C][C]0.0375081658207427[/C][C]0.0187540829103713[/C][/ROW]
[ROW][C]451[/C][C]0.98616960667381[/C][C]0.0276607866523793[/C][C]0.0138303933261896[/C][/ROW]
[ROW][C]452[/C][C]0.981258632710083[/C][C]0.0374827345798348[/C][C]0.0187413672899174[/C][/ROW]
[ROW][C]453[/C][C]0.97743710204841[/C][C]0.0451257959031791[/C][C]0.0225628979515896[/C][/ROW]
[ROW][C]454[/C][C]0.970395949991471[/C][C]0.0592081000170574[/C][C]0.0296040500085287[/C][/ROW]
[ROW][C]455[/C][C]0.960747285296711[/C][C]0.0785054294065772[/C][C]0.0392527147032886[/C][/ROW]
[ROW][C]456[/C][C]0.948341863022659[/C][C]0.103316273954683[/C][C]0.0516581369773413[/C][/ROW]
[ROW][C]457[/C][C]0.933545024027253[/C][C]0.132909951945493[/C][C]0.0664549759727467[/C][/ROW]
[ROW][C]458[/C][C]0.935259301846438[/C][C]0.129481396307123[/C][C]0.0647406981535616[/C][/ROW]
[ROW][C]459[/C][C]0.917884921003498[/C][C]0.164230157993003[/C][C]0.0821150789965015[/C][/ROW]
[ROW][C]460[/C][C]0.910713467366314[/C][C]0.178573065267373[/C][C]0.0892865326336864[/C][/ROW]
[ROW][C]461[/C][C]0.894158960195512[/C][C]0.211682079608976[/C][C]0.105841039804488[/C][/ROW]
[ROW][C]462[/C][C]0.894427474822856[/C][C]0.211145050354288[/C][C]0.105572525177144[/C][/ROW]
[ROW][C]463[/C][C]0.894396062596816[/C][C]0.211207874806368[/C][C]0.105603937403184[/C][/ROW]
[ROW][C]464[/C][C]0.92501363667448[/C][C]0.149972726651039[/C][C]0.0749863633255193[/C][/ROW]
[ROW][C]465[/C][C]0.96046175483629[/C][C]0.0790764903274182[/C][C]0.0395382451637091[/C][/ROW]
[ROW][C]466[/C][C]0.948442749604758[/C][C]0.103114500790485[/C][C]0.0515572503952423[/C][/ROW]
[ROW][C]467[/C][C]0.938535741772324[/C][C]0.122928516455351[/C][C]0.0614642582276756[/C][/ROW]
[ROW][C]468[/C][C]0.917881301715214[/C][C]0.164237396569572[/C][C]0.082118698284786[/C][/ROW]
[ROW][C]469[/C][C]0.898539266284156[/C][C]0.202921467431688[/C][C]0.101460733715844[/C][/ROW]
[ROW][C]470[/C][C]0.866394696134029[/C][C]0.267210607731942[/C][C]0.133605303865971[/C][/ROW]
[ROW][C]471[/C][C]0.834807724257285[/C][C]0.330384551485430[/C][C]0.165192275742715[/C][/ROW]
[ROW][C]472[/C][C]0.795433984330114[/C][C]0.409132031339772[/C][C]0.204566015669886[/C][/ROW]
[ROW][C]473[/C][C]0.840771430382092[/C][C]0.318457139235816[/C][C]0.159228569617908[/C][/ROW]
[ROW][C]474[/C][C]0.837427727282819[/C][C]0.325144545434362[/C][C]0.162572272717181[/C][/ROW]
[ROW][C]475[/C][C]0.813291062516846[/C][C]0.373417874966308[/C][C]0.186708937483154[/C][/ROW]
[ROW][C]476[/C][C]0.863876249239013[/C][C]0.272247501521975[/C][C]0.136123750760988[/C][/ROW]
[ROW][C]477[/C][C]0.910804652500367[/C][C]0.178390694999266[/C][C]0.089195347499633[/C][/ROW]
[ROW][C]478[/C][C]0.94889989686035[/C][C]0.102200206279299[/C][C]0.0511001031396497[/C][/ROW]
[ROW][C]479[/C][C]0.923461405793664[/C][C]0.153077188412673[/C][C]0.0765385942063363[/C][/ROW]
[ROW][C]480[/C][C]0.886861417913852[/C][C]0.226277164172295[/C][C]0.113138582086148[/C][/ROW]
[ROW][C]481[/C][C]0.846881324345009[/C][C]0.306237351309983[/C][C]0.153118675654991[/C][/ROW]
[ROW][C]482[/C][C]0.786794584493695[/C][C]0.426410831012609[/C][C]0.213205415506305[/C][/ROW]
[ROW][C]483[/C][C]0.737634912017364[/C][C]0.524730175965273[/C][C]0.262365087982636[/C][/ROW]
[ROW][C]484[/C][C]0.645396952343834[/C][C]0.709206095312332[/C][C]0.354603047656166[/C][/ROW]
[ROW][C]485[/C][C]0.705131009315543[/C][C]0.589737981368915[/C][C]0.294868990684458[/C][/ROW]
[ROW][C]486[/C][C]0.719023076923238[/C][C]0.561953846153523[/C][C]0.280976923076762[/C][/ROW]
[ROW][C]487[/C][C]0.602590850231261[/C][C]0.794818299537478[/C][C]0.397409149768739[/C][/ROW]
[ROW][C]488[/C][C]0.546019167700662[/C][C]0.907961664598677[/C][C]0.453980832299338[/C][/ROW]
[ROW][C]489[/C][C]0.868295471472984[/C][C]0.263409057054032[/C][C]0.131704528527016[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107657&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107657&T=5

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
11	0.0526869268378438	0.105373853675688	0.947313073162156
12	0.266114761145501	0.532229522291002	0.7338852388545
13	0.271199590031095	0.54239918006219	0.728800409968905
14	0.365481051150901	0.730962102301801	0.634518948849099
15	0.298463607626666	0.596927215253333	0.701536392373334
16	0.621005485305211	0.757989029389578	0.378994514694789
17	0.524370887082578	0.951258225834845	0.475629112917422
18	0.42824398518027	0.85648797036054	0.57175601481973
19	0.849607705396088	0.300784589207825	0.150392294603912
20	0.819863577418134	0.360272845163732	0.180136422581866
21	0.772032225113229	0.455935549773543	0.227967774886771
22	0.749247802855808	0.501504394288385	0.250752197144192
23	0.687386118396392	0.625227763207215	0.312613881603608
24	0.684277872187349	0.631444255625302	0.315722127812651
25	0.625145476625848	0.749709046748304	0.374854523374152
26	0.586960177958999	0.826079644082001	0.413039822041001
27	0.521379478854006	0.957241042291989	0.478620521145994
28	0.632709971065317	0.734580057869367	0.367290028934683
29	0.604268668245125	0.79146266350975	0.395731331754875
30	0.550694770474593	0.898610459050813	0.449305229525407
31	0.513037259473815	0.97392548105237	0.486962740526185
32	0.468776090728313	0.937552181456627	0.531223909271687
33	0.411276990546275	0.82255398109255	0.588723009453725
34	0.573490091675373	0.853019816649253	0.426509908324627
35	0.539092569918608	0.921814860162783	0.460907430081392
36	0.540134402729745	0.919731194540511	0.459865597270255
37	0.534346268236369	0.931307463527262	0.465653731763631
38	0.488630694352654	0.977261388705308	0.511369305647346
39	0.563825385993268	0.872349228013464	0.436174614006732
40	0.51763038889517	0.96473922220966	0.48236961110483
41	0.502840380661878	0.994319238676243	0.497159619338122
42	0.670657696005323	0.658684607989354	0.329342303994677
43	0.670453440280198	0.659093119439603	0.329546559719802
44	0.626932807071701	0.746134385856599	0.373067192928299
45	0.595379401649976	0.809241196700048	0.404620598350024
46	0.592297685097504	0.815404629804992	0.407702314902496
47	0.601804583492589	0.796390833014821	0.398195416507411
48	0.588273487922875	0.823453024154249	0.411726512077125
49	0.552982846665424	0.894034306669151	0.447017153334576
50	0.517317644083845	0.96536471183231	0.482682355916155
51	0.510757628556782	0.978484742886436	0.489242371443218
52	0.465898097323218	0.931796194646437	0.534101902676782
53	0.445530151947416	0.891060303894833	0.554469848052584
54	0.404115853574483	0.808231707148966	0.595884146425517
55	0.379707899971298	0.759415799942597	0.620292100028702
56	0.339133715625818	0.678267431251635	0.660866284374182
57	0.303173697999878	0.606347395999756	0.696826302000122
58	0.272810689600195	0.545621379200391	0.727189310399805
59	0.25004855609858	0.50009711219716	0.74995144390142
60	0.242019870084158	0.484039740168316	0.757980129915842
61	0.216428461644598	0.432856923289196	0.783571538355402
62	0.196741530084653	0.393483060169305	0.803258469915347
63	0.170190619400863	0.340381238801726	0.829809380599137
64	0.152423961676284	0.304847923352568	0.847576038323716
65	0.225127357531815	0.450254715063631	0.774872642468185
66	0.293017414399995	0.58603482879999	0.706982585600005
67	0.301414090446829	0.602828180893659	0.69858590955317
68	0.268007170482181	0.536014340964362	0.731992829517819
69	0.240522794847583	0.481045589695166	0.759477205152417
70	0.218516305233341	0.437032610466681	0.78148369476666
71	0.190747978960125	0.381495957920249	0.809252021039875
72	0.165275215201569	0.330550430403139	0.83472478479843
73	0.143218355883819	0.286436711767638	0.85678164411618
74	0.124042759921331	0.248085519842662	0.87595724007867
75	0.106810371585922	0.213620743171843	0.893189628414078
76	0.175482219353244	0.350964438706488	0.824517780646756
77	0.18524975168107	0.37049950336214	0.81475024831893
78	0.177645104212570	0.355290208425140	0.82235489578743
79	0.166299941818432	0.332599883636864	0.833700058181568
80	0.205647623764774	0.411295247529547	0.794352376235226
81	0.194494365637986	0.388988731275972	0.805505634362014
82	0.265366758056859	0.530733516113718	0.734633241943141
83	0.251836968009335	0.503673936018671	0.748163031990665
84	0.247717378882788	0.495434757765575	0.752282621117212
85	0.220613278116219	0.441226556232437	0.779386721883781
86	0.195853157116138	0.391706314232277	0.804146842883862
87	0.195684025084155	0.391368050168311	0.804315974915845
88	0.183380304261543	0.366760608523086	0.816619695738457
89	0.162041968841837	0.324083937683674	0.837958031158163
90	0.14297757848047	0.28595515696094	0.85702242151953
91	0.128238748333050	0.256477496666100	0.87176125166695
92	0.114683123858605	0.229366247717209	0.885316876141395
93	0.103121273654784	0.206242547309568	0.896878726345216
94	0.0947698936037321	0.189539787207464	0.905230106396268
95	0.0838064160266188	0.167612832053238	0.916193583973381
96	0.211272589110451	0.422545178220902	0.78872741088955
97	0.188367294965900	0.376734589931801	0.8116327050341
98	0.231978745446363	0.463957490892725	0.768021254553637
99	0.354743358821276	0.709486717642551	0.645256641178724
100	0.324425311064147	0.648850622128295	0.675574688935853
101	0.315653406795282	0.631306813590563	0.684346593204718
102	0.292734428095819	0.585468856191637	0.707265571904181
103	0.282701651930315	0.565403303860629	0.717298348069685
104	0.262985843581107	0.525971687162215	0.737014156418893
105	0.287166018163595	0.57433203632719	0.712833981836405
106	0.294085774134586	0.588171548269171	0.705914225865414
107	0.269088078288567	0.538176156577133	0.730911921711433
108	0.24557837008612	0.49115674017224	0.75442162991388
109	0.221008164383638	0.442016328767275	0.778991835616362
110	0.260498544631004	0.520997089262009	0.739501455368996
111	0.288208657122086	0.576417314244172	0.711791342877914
112	0.379973410691777	0.759946821383555	0.620026589308223
113	0.363169550099899	0.726339100199799	0.6368304499001
114	0.38941302468168	0.77882604936336	0.61058697531832
115	0.370484851571458	0.740969703142916	0.629515148428542
116	0.349077098405653	0.698154196811306	0.650922901594347
117	0.32087065319605	0.6417413063921	0.67912934680395
118	0.29625750882037	0.59251501764074	0.70374249117963
119	0.368405063424719	0.736810126849438	0.631594936575281
120	0.368287649176508	0.736575298353016	0.631712350823492
121	0.34006202776992	0.68012405553984	0.65993797223008
122	0.316539078365579	0.633078156731157	0.683460921634421
123	0.316845365248438	0.633690730496876	0.683154634751562
124	0.307401692574259	0.614803385148517	0.692598307425741
125	0.28605673505039	0.57211347010078	0.71394326494961
126	0.262006338334213	0.524012676668426	0.737993661665787
127	0.23810267596694	0.47620535193388	0.76189732403306
128	0.43091398436594	0.86182796873188	0.56908601563406
129	0.40345478676671	0.80690957353342	0.59654521323329
130	0.376550317184880	0.753100634369761	0.62344968281512
131	0.349863878189307	0.699727756378614	0.650136121810693
132	0.355221023177313	0.710442046354626	0.644778976822687
133	0.328947223920951	0.657894447841903	0.671052776079049
134	0.338976507576099	0.677953015152199	0.661023492423901
135	0.317823763574611	0.635647527149222	0.682176236425389
136	0.371533967740455	0.74306793548091	0.628466032259545
137	0.347995668299839	0.695991336599677	0.652004331700161
138	0.325850299543541	0.651700599087082	0.674149700456459
139	0.302892175318340	0.605784350636681	0.69710782468166
140	0.278430279497315	0.556860558994629	0.721569720502685
141	0.264497885056243	0.528995770112486	0.735502114943757
142	0.305342739475214	0.610685478950428	0.694657260524786
143	0.309417441027037	0.618834882054075	0.690582558972963
144	0.323565053682776	0.647130107365552	0.676434946317224
145	0.298591245860875	0.59718249172175	0.701408754139125
146	0.275008167830431	0.550016335660861	0.72499183216957
147	0.255909207418804	0.511818414837609	0.744090792581195
148	0.316714243388081	0.633428486776163	0.683285756611919
149	0.299652973393635	0.599305946787269	0.700347026606365
150	0.281933933011631	0.563867866023263	0.718066066988369
151	0.265910843318733	0.531821686637467	0.734089156681267
152	0.244948038770734	0.489896077541469	0.755051961229266
153	0.262605032662294	0.525210065324589	0.737394967337706
154	0.324344923419577	0.648689846839154	0.675655076580423
155	0.304492084857122	0.608984169714245	0.695507915142878
156	0.308808279963514	0.617616559927029	0.691191720036486
157	0.287175432795016	0.574350865590031	0.712824567204984
158	0.284992697211385	0.56998539442277	0.715007302788615
159	0.261851795231857	0.523703590463715	0.738148204768143
160	0.433834204202909	0.867668408405817	0.566165795797091
161	0.411848785671342	0.823697571342685	0.588151214328658
162	0.396644302398449	0.793288604796898	0.603355697601551
163	0.391990500973101	0.783981001946202	0.608009499026899
164	0.369029193737208	0.738058387474417	0.630970806262792
165	0.344310855850972	0.688621711701944	0.655689144149028
166	0.33439011684648	0.66878023369296	0.66560988315352
167	0.355841276317500	0.711682552635001	0.6441587236825
168	0.376718055000655	0.753436110001311	0.623281944999345
169	0.385655063626296	0.771310127252592	0.614344936373704
170	0.526945141013547	0.946109717972906	0.473054858986453
171	0.538194720579387	0.923610558841226	0.461805279420613
172	0.572129341857073	0.855741316285853	0.427870658142927
173	0.829160655639426	0.341678688721147	0.170839344360574
174	0.817896741173955	0.364206517652091	0.182103258826045
175	0.817112999173845	0.365774001652311	0.182887000826155
176	0.79950085144131	0.400998297117379	0.200499148558689
177	0.801379114599088	0.397241770801824	0.198620885400912
178	0.78348008058585	0.433039838828299	0.216519919414150
179	0.781092637308608	0.437814725382784	0.218907362691392
180	0.820267863985378	0.359464272029243	0.179732136014622
181	0.846733267277472	0.306533465445056	0.153266732722528
182	0.839654633748004	0.320690732503992	0.160345366251996
183	0.823363311905885	0.353273376188231	0.176636688094116
184	0.840714448577653	0.318571102844693	0.159285551422347
185	0.848214524093253	0.303570951813493	0.151785475906747
186	0.833527741926025	0.332944516147950	0.166472258073975
187	0.836873465092906	0.326253069814187	0.163126534907094
188	0.829037991642527	0.341924016714946	0.170962008357473
189	0.81514605839746	0.369707883205079	0.184853941602539
190	0.885162688141777	0.229674623716446	0.114837311858223
191	0.874639903179933	0.250720193640133	0.125360096820067
192	0.86340901678793	0.273181966424140	0.136590983212070
193	0.861225685227022	0.277548629545956	0.138774314772978
194	0.879139190977416	0.241721618045168	0.120860809022584
195	0.877197151542178	0.245605696915644	0.122802848457822
196	0.86380599848294	0.272388003034119	0.136194001517060
197	0.850782783467781	0.298434433064438	0.149217216532219
198	0.835250653639749	0.329498692720503	0.164749346360251
199	0.821275997573706	0.357448004852588	0.178724002426294
200	0.81605326601181	0.367893467976380	0.183946733988190
201	0.830767024162407	0.338465951675187	0.169232975837593
202	0.819660150364937	0.360679699270127	0.180339849635063
203	0.80279731255617	0.394405374887659	0.197202687443829
204	0.821266445277448	0.357467109445103	0.178733554722552
205	0.807941073035783	0.384117853928433	0.192058926964217
206	0.801763975228487	0.396472049543026	0.198236024771513
207	0.836729776345918	0.326540447308164	0.163270223654082
208	0.920371843115074	0.159256313769853	0.0796281568849264
209	0.914543845929724	0.170912308140552	0.0854561540702762
210	0.904489247413934	0.191021505172131	0.0955107525860655
211	0.923595340263568	0.152809319472864	0.0764046597364322
212	0.915114224263069	0.169771551473862	0.0848857757369311
213	0.924267523800786	0.151464952398428	0.0757324761992138
214	0.91759733832153	0.164805323356942	0.082402661678471
215	0.908788096280659	0.182423807438682	0.091211903719341
216	0.898192406902692	0.203615186194616	0.101807593097308
217	0.922154533947227	0.155690932105546	0.077845466052773
218	0.921905479311153	0.156189041377693	0.0780945206888467
219	0.912268252339276	0.175463495321448	0.0877317476607238
220	0.968926965733718	0.0621460685325642	0.0310730342662821
221	0.973572474116007	0.0528550517679864	0.0264275258839932
222	0.980467777474086	0.0390644450518288	0.0195322225259144
223	0.979974147043325	0.0400517059133503	0.0200258529566752
224	0.977860118269305	0.0442797634613903	0.0221398817306951
225	0.976831110683189	0.046337778633623	0.0231688893168115
226	0.973112478204873	0.0537750435902542	0.0268875217951271
227	0.97204811862753	0.0559037627449419	0.0279518813724710
228	0.968565422611082	0.0628691547778356	0.0314345773889178
229	0.965417733248148	0.0691645335037046	0.0345822667518523
230	0.961594426078202	0.0768111478435961	0.0384055739217981
231	0.962707189517046	0.0745856209659079	0.0372928104829539
232	0.957356909519828	0.085286180960343	0.0426430904801715
233	0.95227394916609	0.0954521016678207	0.0477260508339104
234	0.973916132209025	0.0521677355819503	0.0260838677909751
235	0.975177333932856	0.0496453321342884	0.0248226660671442
236	0.983112542316408	0.0337749153671848	0.0168874576835924
237	0.980241171312233	0.0395176573755344	0.0197588286877672
238	0.98825094888413	0.023498102231739	0.0117490511158695
239	0.99192883308501	0.0161423338299811	0.00807116691499055
240	0.990746549530949	0.0185069009381021	0.00925345046905105
241	0.989108344679557	0.021783310640886	0.010891655320443
242	0.98722477253206	0.0255504549358810	0.0127752274679405
243	0.985114705675673	0.0297705886486532	0.0148852943243266
244	0.98345506676548	0.0330898664690416	0.0165449332345208
245	0.983221928661067	0.0335561426778653	0.0167780713389327
246	0.980682774452137	0.0386344510957267	0.0193172255478633
247	0.978556372684823	0.0428872546303548	0.0214436273151774
248	0.975151271070935	0.04969745785813	0.024848728929065
249	0.974398143271633	0.0512037134567339	0.0256018567283669
250	0.977604089848685	0.0447918203026307	0.0223959101513153
251	0.97416894186669	0.0516621162666209	0.0258310581333105
252	0.977366110969594	0.0452677780608124	0.0226338890304062
253	0.973893528136747	0.0522129437265059	0.0261064718632530
254	0.969849136596036	0.0603017268079275	0.0301508634039637
255	0.96539779624307	0.06920440751386	0.03460220375693
256	0.96022601185168	0.0795479762966405	0.0397739881483203
257	0.954370083413461	0.0912598331730775	0.0456299165865387
258	0.948654031261504	0.102691937476991	0.0513459687384955
259	0.94705288139247	0.105894237215060	0.0529471186075302
260	0.939851331891663	0.120297336216674	0.0601486681083368
261	0.94499259234745	0.110014815305099	0.0550074076525494
262	0.938185830512635	0.123628338974729	0.0618141694873645
263	0.935898596514567	0.128202806970866	0.0641014034854332
264	0.946824288744924	0.106351422510153	0.0531757112550763
265	0.939697997693463	0.120604004613073	0.0603020023065367
266	0.938024230735373	0.123951538529255	0.0619757692646274
267	0.951372271861866	0.0972554562762681	0.0486277281381341
268	0.954015314026367	0.0919693719472654	0.0459846859736327
269	0.961082756721132	0.0778344865577369	0.0389172432788684
270	0.973143966051943	0.0537120678961144	0.0268560339480572
271	0.973381188177362	0.0532376236452765	0.0266188118226382
272	0.970406402830654	0.0591871943386927	0.0295935971693463
273	0.969652085285498	0.0606958294290037	0.0303479147145019
274	0.965690504520407	0.0686189909591852	0.0343094954795926
275	0.96136795565127	0.0772640886974598	0.0386320443487299
276	0.958554851083111	0.0828902978337773	0.0414451489168887
277	0.988823342310278	0.0223533153794440	0.0111766576897220
278	0.98750912905102	0.0249817418979593	0.0124908709489797
279	0.985838087257956	0.0283238254840885	0.0141619127420442
280	0.987356644506536	0.0252867109869278	0.0126433554934639
281	0.985601292814702	0.0287974143705965	0.0143987071852982
282	0.98487158781296	0.0302568243740816	0.0151284121870408
283	0.991280749033631	0.0174385019327379	0.00871925096636895
284	0.989661854409342	0.0206762911813166	0.0103381455906583
285	0.993234556219996	0.0135308875600084	0.0067654437800042
286	0.995265745635924	0.00946850872815113	0.00473425436407557
287	0.995198618072474	0.00960276385505292	0.00480138192752646
288	0.99492773300367	0.0101445339926614	0.00507226699633072
289	0.99564545230718	0.00870909538564145	0.00435454769282072
290	0.995173759436738	0.0096524811265247	0.00482624056326235
291	0.99662425034588	0.00675149930824047	0.00337574965412023
292	0.996203367594488	0.0075932648110238	0.0037966324055119
293	0.995546418736232	0.00890716252753695	0.00445358126376848
294	0.995317453634491	0.00936509273101722	0.00468254636550861
295	0.994769098565207	0.0104618028695862	0.00523090143479308
296	0.994120084222043	0.0117598315559142	0.00587991577795712
297	0.99462058021914	0.0107588395617211	0.00537941978086053
298	0.993527739588538	0.0129445208229240	0.00647226041146199
299	0.992436174281139	0.0151276514377228	0.0075638257188614
300	0.992003797856664	0.0159924042866726	0.00799620214333632
301	0.990558149726933	0.0188837005461337	0.00944185027306686
302	0.989518869941092	0.0209622601178167	0.0104811300589084
303	0.987529430258744	0.0249411394825113	0.0124705697412557
304	0.98561857392975	0.0287628521405007	0.0143814260702504
305	0.986385662079163	0.0272286758416745	0.0136143379208373
306	0.98445727282046	0.0310854543590797	0.0155427271795399
307	0.984623555300239	0.0307528893995223	0.0153764446997611
308	0.983155039723496	0.0336899205530078	0.0168449602765039
309	0.98037816318784	0.0392436736243215	0.0196218368121608
310	0.990307561358796	0.0193848772824088	0.00969243864120439
311	0.988469532980934	0.0230609340381326	0.0115304670190663
312	0.987043078473955	0.0259138430520908	0.0129569215260454
313	0.985934537679401	0.0281309246411975	0.0140654623205988
314	0.983405502104802	0.0331889957903954	0.0165944978951977
315	0.980580581945553	0.0388388361088947	0.0194194180544473
316	0.977617237124882	0.0447655257502355	0.0223827628751178
317	0.97727533426486	0.0454493314702812	0.0227246657351406
318	0.983045089067345	0.0339098218653098	0.0169549109326549
319	0.988182273430612	0.0236354531387753	0.0118177265693876
320	0.986092439984305	0.0278151200313898	0.0139075600156949
321	0.983926087831865	0.0321478243362708	0.0160739121681354
322	0.98723998569247	0.0255200286150613	0.0127600143075307
323	0.98494371952724	0.0301125609455205	0.0150562804727602
324	0.983160525966415	0.0336789480671706	0.0168394740335853
325	0.980378996495161	0.0392420070096771	0.0196210035048386
326	0.97812297328348	0.0437540534330389	0.0218770267165195
327	0.982328730221918	0.0353425395561646	0.0176712697780823
328	0.983737249594588	0.0325255008108250	0.0162627504054125
329	0.981896669596623	0.0362066608067548	0.0181033304033774
330	0.98169791963263	0.0366041607347383	0.0183020803673692
331	0.978936694876966	0.0421266102460683	0.0210633051230342
332	0.976087294657416	0.0478254106851689	0.0239127053425845
333	0.979429147187818	0.0411417056243632	0.0205708528121816
334	0.977697078002435	0.0446058439951298	0.0223029219975649
335	0.97629100349839	0.0474179930032212	0.0237089965016106
336	0.972171984067192	0.0556560318656163	0.0278280159328081
337	0.967494837409687	0.0650103251806258	0.0325051625903129
338	0.97127229139916	0.0574554172016815	0.0287277086008408
339	0.978684232836487	0.0426315343270265	0.0213157671635132
340	0.976618443888364	0.046763112223272	0.023381556111636
341	0.97445957885602	0.0510808422879589	0.0255404211439794
342	0.97220536578944	0.055589268421121	0.0277946342105605
343	0.968214333719656	0.063571332560687	0.0317856662803435
344	0.966804240037781	0.0663915199244374	0.0331957599622187
345	0.965610728624588	0.0687785427508248	0.0343892713754124
346	0.976398582689982	0.0472028346200358	0.0236014173100179
347	0.972869553293255	0.054260893413489	0.0271304467067445
348	0.969062438318403	0.0618751233631944	0.0309375616815972
349	0.975446648193	0.0491067036140019	0.0245533518070010
350	0.974432476399474	0.0511350472010523	0.0255675236005261
351	0.97781087501852	0.0443782499629614	0.0221891249814807
352	0.9841411416218	0.031717716756401	0.0158588583782005
353	0.981225830045557	0.0375483399088868	0.0187741699544434
354	0.977907726509663	0.0441845469806741	0.0220922734903370
355	0.98134116198771	0.0373176760245808	0.0186588380122904
356	0.977923417242344	0.044153165515313	0.0220765827576565
357	0.98397006873503	0.0320598625299399	0.0160299312649700
358	0.981571540147572	0.0368569197048561	0.0184284598524280
359	0.979227152987177	0.0415456940256464	0.0207728470128232
360	0.978242131851375	0.0435157362972506	0.0217578681486253
361	0.989790263797168	0.020419472405665	0.0102097362028325
362	0.987644560200837	0.0247108795983266	0.0123554397991633
363	0.985165689446784	0.0296686211064318	0.0148343105532159
364	0.98214755023021	0.0357048995395786	0.0178524497697893
365	0.979563903390756	0.0408721932184887	0.0204360966092444
366	0.976593522503984	0.0468129549920325	0.0234064774960162
367	0.97220985212388	0.0555802957522392	0.0277901478761196
368	0.967109007054974	0.0657819858900517	0.0328909929450259
369	0.973785686155617	0.0524286276887656	0.0262143138443828
370	0.97346084915815	0.0530783016836993	0.0265391508418497
371	0.971307838030097	0.0573843239398061	0.0286921619699031
372	0.967938262319151	0.0641234753616974	0.0320617376808487
373	0.97432228376305	0.0513554324739007	0.0256777162369503
374	0.969412854703068	0.0611742905938647	0.0305871452969323
375	0.964485312816952	0.0710293743660963	0.0355146871830482
376	0.959208916339544	0.0815821673209127	0.0407910836604564
377	0.952593746015176	0.094812507969649	0.0474062539848245
378	0.951837680692876	0.0963246386142485	0.0481623193071243
379	0.945496681125166	0.109006637749667	0.0545033188748336
380	0.938618866729262	0.122762266541476	0.0613811332707381
381	0.92972665864585	0.140546682708301	0.0702733413541504
382	0.918701311809335	0.162597376381330	0.0812986881906649
383	0.906596468795818	0.186807062408364	0.093403531204182
384	0.89754663050837	0.204906738983262	0.102453369491631
385	0.882974297457787	0.234051405084426	0.117025702542213
386	0.936867403857722	0.126265192284557	0.0631325961422783
387	0.92713339829253	0.145733203414942	0.0728666017074709
388	0.918846447941639	0.162307104116723	0.0811535520583613
389	0.931797926107567	0.136404147784866	0.068202073892433
390	0.941142330898837	0.117715338202326	0.0588576691011628
391	0.933640128756322	0.132719742487357	0.0663598712436783
392	0.922889448313233	0.154221103373534	0.0771105516867668
393	0.922152711663463	0.155694576673074	0.077847288336537
394	0.926301924334641	0.147396151330717	0.0736980756653587
395	0.9504162928981	0.0991674142037988	0.0495837071018994
396	0.964883608282382	0.0702327834352368	0.0351163917176184
397	0.95864779706385	0.0827044058723004	0.0413522029361502
398	0.95241734009211	0.0951653198157815	0.0475826599078907
399	0.96571307132123	0.0685738573575414	0.0342869286787707
400	0.958990308888628	0.0820193822227439	0.0410096911113719
401	0.951308825450476	0.0973823490990476	0.0486911745495238
402	0.943046675285013	0.113906649429973	0.0569533247149866
403	0.932989804056466	0.134020391887068	0.067010195943534
404	0.921380146067922	0.157239707864156	0.0786198539320781
405	0.90800309058131	0.183993818837379	0.0919969094186896
406	0.893163660449984	0.213672679100032	0.106836339550016
407	0.929635786784258	0.140728426431483	0.0703642132157417
408	0.926145909130266	0.147708181739468	0.073854090869734
409	0.913170906401247	0.173658187197506	0.086829093598753
410	0.902285232098681	0.195429535802638	0.097714767901319
411	0.912787222480036	0.174425555039929	0.0872127775199644
412	0.907031284147462	0.185937431705077	0.0929687158525384
413	0.903074080520079	0.193851838959843	0.0969259194799214
414	0.895460659309488	0.209078681381024	0.104539340690512
415	0.888067542730856	0.223864914538289	0.111932457269144
416	0.886358997794428	0.227282004411145	0.113641002205572
417	0.881974360676482	0.236051278647036	0.118025639323518
418	0.867797992351666	0.264404015296667	0.132202007648334
419	0.8617300338822	0.276539932235601	0.138269966117801
420	0.846984161729812	0.306031676540377	0.153015838270188
421	0.826911659616577	0.346176680766847	0.173088340383423
422	0.824892580235334	0.350214839529333	0.175107419764666
423	0.840493550577349	0.319012898845302	0.159506449422651
424	0.897776986474284	0.204446027051431	0.102223013525716
425	0.955201920592635	0.0895961588147292	0.0447980794073646
426	0.94552688920738	0.108946221585240	0.0544731107926201
427	0.954480068496786	0.091039863006429	0.0455199315032145
428	0.946643090938338	0.106713818123323	0.0533569090616616
429	0.936802705344778	0.126394589310444	0.0631972946552218
430	0.930479682516298	0.139040634967404	0.069520317483702
431	0.916376360744788	0.167247278510425	0.0836236392552124
432	0.913051524618906	0.173896950762188	0.0869484753810938
433	0.907167737235613	0.185664525528773	0.0928322627643866
434	0.96548913856934	0.0690217228613198	0.0345108614306599
435	0.960671929165294	0.0786561416694116	0.0393280708347058
436	0.96247300715005	0.0750539856999007	0.0375269928499503
437	0.953542683887631	0.0929146322247373	0.0464573161123686
438	0.947928632175398	0.104142735649204	0.052071367824602
439	0.975477306086606	0.0490453878267887	0.0245226939133943
440	0.979677317113013	0.0406453657739738	0.0203226828869869
441	0.976244940737622	0.0475101185247557	0.0237550592623779
442	0.969853599171495	0.0602928016570103	0.0301464008285051
443	0.985673235994035	0.0286535280119306	0.0143267640059653
444	0.981359100957893	0.0372817980842145	0.0186408990421072
445	0.975426607037656	0.0491467859246869	0.0245733929623435
446	0.96837152301566	0.0632569539686796	0.0316284769843398
447	0.972337911393451	0.0553241772130976	0.0276620886065488
448	0.965320824995349	0.0693583500093025	0.0346791750046513
449	0.985824185201697	0.0283516295966057	0.0141758147983029
450	0.981245917089629	0.0375081658207427	0.0187540829103713
451	0.98616960667381	0.0276607866523793	0.0138303933261896
452	0.981258632710083	0.0374827345798348	0.0187413672899174
453	0.97743710204841	0.0451257959031791	0.0225628979515896
454	0.970395949991471	0.0592081000170574	0.0296040500085287
455	0.960747285296711	0.0785054294065772	0.0392527147032886
456	0.948341863022659	0.103316273954683	0.0516581369773413
457	0.933545024027253	0.132909951945493	0.0664549759727467
458	0.935259301846438	0.129481396307123	0.0647406981535616
459	0.917884921003498	0.164230157993003	0.0821150789965015
460	0.910713467366314	0.178573065267373	0.0892865326336864
461	0.894158960195512	0.211682079608976	0.105841039804488
462	0.894427474822856	0.211145050354288	0.105572525177144
463	0.894396062596816	0.211207874806368	0.105603937403184
464	0.92501363667448	0.149972726651039	0.0749863633255193
465	0.96046175483629	0.0790764903274182	0.0395382451637091
466	0.948442749604758	0.103114500790485	0.0515572503952423
467	0.938535741772324	0.122928516455351	0.0614642582276756
468	0.917881301715214	0.164237396569572	0.082118698284786
469	0.898539266284156	0.202921467431688	0.101460733715844
470	0.866394696134029	0.267210607731942	0.133605303865971
471	0.834807724257285	0.330384551485430	0.165192275742715
472	0.795433984330114	0.409132031339772	0.204566015669886
473	0.840771430382092	0.318457139235816	0.159228569617908
474	0.837427727282819	0.325144545434362	0.162572272717181
475	0.813291062516846	0.373417874966308	0.186708937483154
476	0.863876249239013	0.272247501521975	0.136123750760988
477	0.910804652500367	0.178390694999266	0.089195347499633
478	0.94889989686035	0.102200206279299	0.0511001031396497
479	0.923461405793664	0.153077188412673	0.0765385942063363
480	0.886861417913852	0.226277164172295	0.113138582086148
481	0.846881324345009	0.306237351309983	0.153118675654991
482	0.786794584493695	0.426410831012609	0.213205415506305
483	0.737634912017364	0.524730175965273	0.262365087982636
484	0.645396952343834	0.709206095312332	0.354603047656166
485	0.705131009315543	0.589737981368915	0.294868990684458
486	0.719023076923238	0.561953846153523	0.280976923076762
487	0.602590850231261	0.794818299537478	0.397409149768739
488	0.546019167700662	0.907961664598677	0.453980832299338
489	0.868295471472984	0.263409057054032	0.131704528527016

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	8	0.0167014613778706	NOK
5% type I error level	110	0.229645093945720	NOK
10% type I error level	181	0.377870563674321	NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 8 & 0.0167014613778706 & NOK \tabularnewline
5% type I error level & 110 & 0.229645093945720 & NOK \tabularnewline
10% type I error level & 181 & 0.377870563674321 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107657&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]8[/C][C]0.0167014613778706[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]110[/C][C]0.229645093945720[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]181[/C][C]0.377870563674321[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107657&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107657&T=6

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	8	0.0167014613778706	NOK
5% type I error level	110	0.229645093945720	NOK
10% type I error level	181	0.377870563674321	NOK

Figure 1

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Figure 8

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Figure 9

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Figure 10

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Parameters (Session):

par1 = 7 ; par2 = none ; par3 = 2 ; par4 = no ;

Parameters (R input):

par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

R code (references can be found in the software module):

library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code