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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 19 Dec 2011 10:26:08 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/19/t1324308414hob9cylhx4suwa8.htm/, Retrieved Wed, 15 May 2024 20:17:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=157446, Retrieved Wed, 15 May 2024 20:17:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact85

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Competence to learn] [2010-11-17 07:43:53] [b98453cac15ba1066b407e146608df68]
- R PD  [Multiple Regression] [WS7 Tutorial] [2010-11-18 16:04:53] [afe9379cca749d06b3d6872e02cc47ed]
-    D    [Multiple Regression] [WS7 Tutorial Popu...] [2010-11-22 10:41:15] [afe9379cca749d06b3d6872e02cc47ed]
- R  D        [Multiple Regression] [Multiple Regressi...] [2011-12-19 15:26:08] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
210907	56	396	79	30	115	112285	145
120982	56	297	58	28	109	84786	101
176508	54	559	60	38	146	83123	98
179321	89	967	108	30	116	101193	132
123185	40	270	49	22	68	38361	60
52746	25	143	0	26	101	68504	38
385534	92	1562	121	25	96	119182	144
33170	18	109	1	18	67	22807	5
101645	63	371	20	11	44	17140	28
149061	44	656	43	26	100	116174	84
165446	33	511	69	25	93	57635	79
237213	84	655	78	38	140	66198	127
173326	88	465	86	44	166	71701	78
133131	55	525	44	30	99	57793	60
258873	60	885	104	40	139	80444	131
180083	66	497	63	34	130	53855	84
324799	154	1436	158	47	181	97668	133
230964	53	612	102	30	116	133824	150
236785	119	865	77	31	116	101481	91
135473	41	385	82	23	88	99645	132
202925	61	567	115	36	139	114789	136
215147	58	639	101	36	135	99052	124
344297	75	963	80	30	108	67654	118
153935	33	398	50	25	89	65553	70
132943	40	410	83	39	156	97500	107
174724	92	966	123	34	129	69112	119
174415	100	801	73	31	118	82753	89
225548	112	892	81	31	118	85323	112
223632	73	513	105	33	125	72654	108
124817	40	469	47	25	95	30727	52
221698	45	683	105	33	126	77873	112
210767	60	643	94	35	135	117478	116
170266	62	535	44	42	154	74007	123
260561	75	625	114	43	165	90183	125
84853	31	264	38	30	113	61542	27
294424	77	992	107	33	127	101494	162
101011	34	238	30	13	52	27570	32
215641	46	818	71	32	121	55813	64
325107	99	937	84	36	136	79215	92
7176	17	70	0	0	0	1423	0
167542	66	507	59	28	108	55461	83
106408	30	260	33	14	46	31081	41
96560	76	503	42	17	54	22996	47
265769	146	927	96	32	124	83122	120
269651	67	1269	106	30	115	70106	105
149112	56	537	56	35	128	60578	79
175824	107	910	57	20	80	39992	65
152871	58	532	59	28	97	79892	70
111665	34	345	39	28	104	49810	55
116408	61	918	34	39	59	71570	39
362301	119	1635	76	34	125	100708	67
78800	42	330	20	26	82	33032	21
183167	66	557	91	39	149	82875	127
277965	89	1178	115	39	149	139077	152
150629	44	740	85	33	122	71595	113
168809	66	452	76	28	118	72260	99
24188	24	218	8	4	12	5950	7
329267	259	764	79	39	144	115762	141
65029	17	255	21	18	67	32551	21
101097	64	454	30	14	52	31701	35
218946	41	866	76	29	108	80670	109
244052	68	574	101	44	166	143558	133
341570	168	1276	94	21	80	117105	123
103597	43	379	27	16	60	23789	26
233328	132	825	92	28	107	120733	230
256462	105	798	123	35	127	105195	166
206161	71	663	75	28	107	73107	68
311473	112	1069	128	38	146	132068	147
235800	94	921	105	23	84	149193	179
177939	82	858	55	36	141	46821	61
207176	70	711	56	32	123	87011	101
196553	57	503	41	29	111	95260	108
174184	53	382	72	25	98	55183	90
143246	103	464	67	27	105	106671	114
187559	121	717	75	36	135	73511	103
187681	62	690	114	28	107	92945	142
119016	52	462	118	23	85	78664	79
182192	52	657	77	40	155	70054	88
73566	32	385	22	23	88	22618	25
194979	62	577	66	40	155	74011	83
167488	45	619	69	28	104	83737	113
143756	46	479	105	34	132	69094	118
275541	63	817	116	33	127	93133	110
243199	75	752	88	28	108	95536	129
182999	88	430	73	34	129	225920	51
135649	46	451	99	30	116	62133	93
152299	53	537	62	33	122	61370	76
120221	37	519	53	22	85	43836	49
346485	90	1000	118	38	147	106117	118
145790	63	637	30	26	99	38692	38
193339	78	465	100	35	87	84651	141
80953	25	437	49	8	28	56622	58
122774	45	711	24	24	90	15986	27
130585	46	299	67	29	109	95364	91
112611	41	248	46	20	78	26706	48
286468	144	1162	57	29	111	89691	63
241066	82	714	75	45	158	67267	56
148446	91	905	135	37	141	126846	144
204713	71	649	68	33	122	41140	73
182079	63	512	124	33	124	102860	168
140344	53	472	33	25	93	51715	64
220516	62	905	98	32	124	55801	97
243060	63	786	58	29	112	111813	117
162765	32	489	68	28	108	120293	100
182613	39	479	81	28	99	138599	149
232138	62	617	131	31	117	161647	187
265318	117	925	110	52	199	115929	127
85574	34	351	37	21	78	24266	37
310839	92	1144	130	24	91	162901	245
225060	93	669	93	41	158	109825	87
232317	54	707	118	33	126	129838	177
144966	144	458	39	32	122	37510	49
43287	14	214	13	19	71	43750	49
155754	61	599	74	20	75	40652	73
164709	109	572	81	31	115	87771	177
201940	38	897	109	31	119	85872	94
235454	73	819	151	32	124	89275	117
220801	75	720	51	18	72	44418	60
99466	50	273	28	23	91	192565	55
92661	61	508	40	17	45	35232	39
133328	55	506	56	20	78	40909	64
61361	77	451	27	12	39	13294	26
125930	75	699	37	17	68	32387	64
100750	72	407	83	30	119	140867	58
224549	50	465	54	31	117	120662	95
82316	32	245	27	10	39	21233	25
102010	53	370	28	13	50	44332	26
101523	42	316	59	22	88	61056	76
243511	71	603	133	42	155	101338	129
22938	10	154	12	1	0	1168	11
41566	35	229	0	9	36	13497	2
152474	65	577	106	32	123	65567	101
61857	25	192	23	11	32	25162	28
99923	66	617	44	25	99	32334	36
132487	41	411	71	36	136	40735	89
317394	86	975	116	31	117	91413	193
21054	16	146	4	0	0	855	4
209641	42	705	62	24	88	97068	84
22648	19	184	12	13	39	44339	23
31414	19	200	18	8	25	14116	39
46698	45	274	14	13	52	10288	14
131698	65	502	60	19	75	65622	78
91735	35	382	7	18	71	16563	14
244749	95	964	98	33	124	76643	101
184510	49	537	64	40	151	110681	82
79863	37	438	29	22	71	29011	24
128423	64	369	32	38	145	92696	36
97839	38	417	25	24	87	94785	75
38214	34	276	16	8	27	8773	16
151101	32	514	48	35	131	83209	55
272458	65	822	100	43	162	93815	131
172494	52	389	46	43	165	86687	131
108043	62	466	45	14	54	34553	39
328107	65	1255	129	41	159	105547	144
250579	83	694	130	38	147	103487	139
351067	95	1024	136	45	170	213688	211
158015	29	400	59	31	119	71220	78
98866	18	397	25	13	49	23517	50
85439	33	350	32	28	104	56926	39
229242	247	719	63	31	120	91721	90
351619	139	1277	95	40	150	115168	166
84207	29	356	14	30	112	111194	12
120445	118	457	36	16	59	51009	57
324598	110	1402	113	37	136	135777	133
131069	67	600	47	30	107	51513	69
204271	42	480	92	35	130	74163	119
165543	65	595	70	32	115	51633	119
141722	94	436	19	27	107	75345	65
116048	64	230	50	20	75	33416	61
250047	81	651	41	18	71	83305	49
299775	95	1367	91	31	120	98952	101
195838	67	564	111	31	116	102372	196
173260	63	716	41	21	79	37238	15
254488	83	747	120	39	150	103772	136
104389	45	467	135	41	156	123969	89
136084	30	671	27	13	51	27142	40
199476	70	861	87	32	118	135400	123
92499	32	319	25	18	71	21399	21
224330	83	612	131	39	144	130115	163
135781	31	433	45	14	47	24874	29
74408	67	434	29	7	28	34988	35
81240	66	503	58	17	68	45549	13
14688	10	85	4	0	0	6023	5
181633	70	564	47	30	110	64466	96
271856	103	824	109	37	147	54990	151
7199	5	74	7	0	0	1644	6
46660	20	259	12	5	15	6179	13
17547	5	69	0	1	4	3926	3
133368	36	535	37	16	64	32755	56
95227	34	239	37	32	111	34777	23
152601	48	438	46	24	85	73224	57
98146	40	459	15	17	68	27114	14
79619	43	426	42	11	40	20760	43
59194	31	288	7	24	80	37636	20
139942	42	498	54	22	88	65461	72
118612	46	454	54	12	48	30080	87
72880	33	376	14	19	76	24094	21
65475	18	225	16	13	51	69008	56
99643	55	555	33	17	67	54968	59
71965	35	252	32	15	59	46090	82
77272	59	208	21	16	61	27507	43
49289	19	130	15	24	76	10672	25
135131	66	481	38	15	60	34029	38
108446	60	389	22	17	68	46300	25
89746	36	565	28	18	71	24760	38
44296	25	173	10	20	76	18779	12
77648	47	278	31	16	62	21280	29
181528	54	609	32	16	61	40662	47
134019	53	422	32	18	67	28987	45
124064	40	445	43	22	88	22827	40
92630	40	387	27	8	30	18513	30
121848	39	339	37	17	64	30594	41
52915	14	181	20	18	68	24006	25
81872	45	245	32	16	64	27913	23
58981	36	384	0	23	91	42744	14
53515	28	212	5	22	88	12934	16
60812	44	399	26	13	52	22574	26
56375	30	229	10	13	49	41385	21
65490	22	224	27	16	62	18653	27
80949	17	203	11	16	61	18472	9
76302	31	333	29	20	76	30976	33
104011	55	384	25	22	88	63339	42
98104	54	636	55	17	66	25568	68
67989	21	185	23	18	71	33747	32
30989	14	93	5	17	68	4154	6
135458	81	581	43	12	48	19474	67
73504	35	248	23	7	25	35130	33
63123	43	304	34	17	68	39067	77
61254	46	344	36	14	41	13310	46
74914	30	407	35	23	90	65892	30
31774	23	170	0	17	66	4143	0
81437	38	312	37	14	54	28579	36
87186	54	507	28	15	59	51776	46
50090	20	224	16	17	60	21152	18
65745	53	340	26	21	77	38084	48
56653	45	168	38	18	68	27717	29
158399	39	443	23	18	72	32928	28
46455	20	204	22	17	67	11342	34
73624	24	367	30	17	64	19499	33
38395	31	210	16	16	63	16380	34
91899	35	335	18	15	59	36874	33
139526	151	364	28	21	84	48259	80
52164	52	178	32	16	64	16734	32
51567	30	206	21	14	56	28207	30
70551	31	279	23	15	54	30143	41
84856	29	387	29	17	67	41369	41
102538	57	490	50	15	58	45833	51
86678	40	238	12	15	59	29156	18
85709	44	343	21	10	40	35944	34
34662	25	232	18	6	22	36278	31
150580	77	530	27	22	83	45588	39
99611	35	291	41	21	81	45097	54
19349	11	67	13	1	2	3895	14
99373	63	397	12	18	72	28394	24
86230	44	467	21	17	61	18632	24
30837	19	178	8	4	15	2325	8
31706	13	175	26	10	32	25139	26
89806	42	299	27	16	62	27975	19
62088	38	154	13	16	58	14483	11
40151	29	106	16	9	36	13127	14
27634	20	189	2	16	59	5839	1
76990	27	194	42	17	68	24069	39
37460	20	135	5	7	21	3738	5
54157	19	201	37	15	55	18625	37
49862	37	207	17	14	54	36341	32
84337	26	280	38	14	55	24548	38
64175	42	260	37	18	72	21792	47
59382	49	227	29	12	41	26263	47
119308	30	239	32	16	61	23686	37
76702	49	333	35	21	67	49303	51
103425	67	428	17	19	76	25659	45
70344	28	230	20	16	64	28904	21
43410	19	292	7	1	3	2781	1
104838	49	350	46	16	63	29236	42
62215	27	186	24	10	40	19546	26
69304	30	326	40	19	69	22818	21
53117	22	155	3	12	48	32689	4
19764	12	75	10	2	8	5752	10
86680	31	361	37	14	52	22197	43
84105	20	261	17	17	66	20055	34
77945	20	299	28	19	76	25272	31
89113	39	300	19	14	43	82206	19
91005	29	450	29	11	39	32073	34
40248	16	183	8	4	14	5444	6
64187	27	238	10	16	61	20154	11
50857	21	165	15	20	71	36944	24
56613	19	234	15	12	44	8019	16
62792	35	176	28	15	60	30884	72
72535	14	329	17	16	64	19540	21

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'AstonUniversity' @ aston.wessa.net

\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 & 10 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157446&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]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157446&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157446&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'AstonUniversity' @ aston.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Timeinrfc[t] = -11328.1651438711 + 233.741911195348Logins[t] + 149.00198953853Compendiumsviewed[t] + 95.7530028704298Bloggedcomputations[t] -1051.4076310533Reviews[t] + 599.487622823772Feedbackmessages[t] + 0.127113351910714Compendiumsize[t] + 334.741105193347Totalblogs[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Timeinrfc[t] =  -11328.1651438711 +  233.741911195348Logins[t] +  149.00198953853Compendiumsviewed[t] +  95.7530028704298Bloggedcomputations[t] -1051.4076310533Reviews[t] +  599.487622823772Feedbackmessages[t] +  0.127113351910714Compendiumsize[t] +  334.741105193347Totalblogs[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157446&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Timeinrfc[t] =  -11328.1651438711 +  233.741911195348Logins[t] +  149.00198953853Compendiumsviewed[t] +  95.7530028704298Bloggedcomputations[t] -1051.4076310533Reviews[t] +  599.487622823772Feedbackmessages[t] +  0.127113351910714Compendiumsize[t] +  334.741105193347Totalblogs[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157446&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157446&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Estimated Regression Equation
Timeinrfc[t] = -11328.1651438711 + 233.741911195348Logins[t] + 149.00198953853Compendiumsviewed[t] + 95.7530028704298Bloggedcomputations[t] -1051.4076310533Reviews[t] + 599.487622823772Feedbackmessages[t] + 0.127113351910714Compendiumsize[t] + 334.741105193347Totalblogs[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-11328.16514387114082.435312-2.77490.0058930.002946
Logins233.74191119534866.9791123.48980.0005610.000281
Compendiumsviewed149.001989538539.57764215.557300
Bloggedcomputations95.7530028704298107.6734250.88930.3746070.187304
Reviews-1051.4076310533843.360357-1.24670.213550.106775
Feedbackmessages599.487622823772223.9434532.6770.0078660.003933
Compendiumsize0.1271133519107140.0704191.80510.0721280.036064
Totalblogs334.74110519334777.2228784.33472e-051e-05

\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) & -11328.1651438711 & 4082.435312 & -2.7749 & 0.005893 & 0.002946 \tabularnewline
Logins & 233.741911195348 & 66.979112 & 3.4898 & 0.000561 & 0.000281 \tabularnewline
Compendiumsviewed & 149.00198953853 & 9.577642 & 15.5573 & 0 & 0 \tabularnewline
Bloggedcomputations & 95.7530028704298 & 107.673425 & 0.8893 & 0.374607 & 0.187304 \tabularnewline
Reviews & -1051.4076310533 & 843.360357 & -1.2467 & 0.21355 & 0.106775 \tabularnewline
Feedbackmessages & 599.487622823772 & 223.943453 & 2.677 & 0.007866 & 0.003933 \tabularnewline
Compendiumsize & 0.127113351910714 & 0.070419 & 1.8051 & 0.072128 & 0.036064 \tabularnewline
Totalblogs & 334.741105193347 & 77.222878 & 4.3347 & 2e-05 & 1e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157446&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]-11328.1651438711[/C][C]4082.435312[/C][C]-2.7749[/C][C]0.005893[/C][C]0.002946[/C][/ROW]
[ROW][C]Logins[/C][C]233.741911195348[/C][C]66.979112[/C][C]3.4898[/C][C]0.000561[/C][C]0.000281[/C][/ROW]
[ROW][C]Compendiumsviewed[/C][C]149.00198953853[/C][C]9.577642[/C][C]15.5573[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Bloggedcomputations[/C][C]95.7530028704298[/C][C]107.673425[/C][C]0.8893[/C][C]0.374607[/C][C]0.187304[/C][/ROW]
[ROW][C]Reviews[/C][C]-1051.4076310533[/C][C]843.360357[/C][C]-1.2467[/C][C]0.21355[/C][C]0.106775[/C][/ROW]
[ROW][C]Feedbackmessages[/C][C]599.487622823772[/C][C]223.943453[/C][C]2.677[/C][C]0.007866[/C][C]0.003933[/C][/ROW]
[ROW][C]Compendiumsize[/C][C]0.127113351910714[/C][C]0.070419[/C][C]1.8051[/C][C]0.072128[/C][C]0.036064[/C][/ROW]
[ROW][C]Totalblogs[/C][C]334.741105193347[/C][C]77.222878[/C][C]4.3347[/C][C]2e-05[/C][C]1e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157446&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157446&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-11328.16514387114082.435312-2.77490.0058930.002946
Logins233.74191119534866.9791123.48980.0005610.000281
Compendiumsviewed149.001989538539.57764215.557300
Bloggedcomputations95.7530028704298107.6734250.88930.3746070.187304
Reviews-1051.4076310533843.360357-1.24670.213550.106775
Feedbackmessages599.487622823772223.9434532.6770.0078660.003933
Compendiumsize0.1271133519107140.0704191.80510.0721280.036064
Totalblogs334.74110519334777.2228784.33472e-051e-05






Multiple Linear Regression - Regression Statistics
Multiple R0.947084309563873
R-squared0.896968689422078
Adjusted R-squared0.894402073144336
F-TEST (value)349.475181467815
F-TEST (DF numerator)7
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation26756.8771110199
Sum Squared Residuals201176462838.315

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.947084309563873 \tabularnewline
R-squared & 0.896968689422078 \tabularnewline
Adjusted R-squared & 0.894402073144336 \tabularnewline
F-TEST (value) & 349.475181467815 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 281 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 26756.8771110199 \tabularnewline
Sum Squared Residuals & 201176462838.315 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157446&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.947084309563873[/C][/ROW]
[ROW][C]R-squared[/C][C]0.896968689422078[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.894402073144336[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]349.475181467815[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]281[/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]26756.8771110199[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]201176462838.315[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157446&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157446&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Regression Statistics
Multiple R0.947084309563873
R-squared0.896968689422078
Adjusted R-squared0.894402073144336
F-TEST (value)349.475181467815
F-TEST (DF numerator)7
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation26756.8771110199
Sum Squared Residuals201176462838.315






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907168539.88763255542367.1123674449
2120982132059.668440426-11077.6684404255
3176508181273.56479701-4765.56479700965
4179321258948.255767662-79627.2557676616
512318585538.797693088837646.2023069112
65274670462.2536944764-17716.2536944764
7385534349121.27536262236412.7246373781
83317035029.2722334431-1859.27223344315
910164586955.818697462314689.1813025377
10149061176316.846465537-27255.8464655366
11165446142370.17527175123075.8247282491
12237213208272.74001281228940.2599871876
13173326175238.776696425-1912.77669642531
14133131139204.590592432-6073.59059243162
15258873239870.4881597819002.5118402198
16180083161334.70289117918748.2971088206
17324799369790.495527799-44991.4955277987
18230964207236.49834090723727.5016590931
19236785233054.7827829783730.21721702168
20135473148897.336553779-13424.3365537786
21202925204019.924550851-1094.92455085104
22215147204291.07345121910855.926548781
23344297238653.24580737105643.75419263
24153935119309.50648175334625.4935182474
25132943167785.847869398-34842.8478693985
26174724256094.9253171-81370.9253171002
27174415216843.461308996-42428.461308996
28225548241999.296048167-16451.2960481675
29223632177853.91416686645778.0858331343
30124817124382.318358564434.681641435757
31221698199241.33550216522456.6644978347
32210767205399.9636234845367.03637651585
33170266185835.437063913-15569.4370639134
34260561217255.59517975343305.4048202466
358485391953.6656414298-7100.66564142985
36294424273293.28480153721130.7151984626
3710101166675.411094562634335.5889054373
38215641195517.01982797120123.9801720289
39325107244015.50833869781091.4916613031
4071763256.468913915953919.53108608405
41167542155430.83179725512111.1682027449
4210640868116.377785542938291.6222144571
4396560118560.179454618-22000.1794546179
44265769261541.5561655954227.44383440507
45269651285023.958322367-15372.9583223667
46149112161217.587002902-12105.5870029023
47175824208504.497209725-32680.497209725
48152871149445.4543281113425.54567188877
49111665109408.6892879972256.31071200283
50116408159486.797767325-43078.7977673249
51362301341799.68229136320501.3177086369
527880082624.4698449957-3824.46984499568
53183167197171.830018011-14004.8300180113
54277965312888.753781742-34923.7537817417
55150629202724.41992786-52095.4199278604
56168809162349.6345315136459.3654684874
572418833617.8315970746-9429.83159707462
58329267277847.7088416251419.2911583802
596502965059.3310363934-30.3310363933929
60101097106350.019112016-5253.01911201559
61218946215563.0609027923382.93909720794
62244052215786.19528915728265.8047108431
63341570309006.01144600132563.9885539989
6410359788653.72568633814943.2743136619
65233328278304.677250639-44976.6772506394
66256462252170.3160645474291.6839354526
67206161177998.33777426228162.662225738
68311473299956.69166992411516.3083300764
69235800262986.137119069-27186.1371190686
70177939213996.655522919-36057.655522919
71207176201297.3962636925878.60373630791
72196553165182.15974662131370.8402533787
73174184134478.92418615939705.0758138407
74143246174577.614759213-31331.614759213
75187559217873.225635688-30314.2256356883
76187681210944.597862503-23263.5978625033
77119016144182.052194572-25166.0521945724
78182192195319.994893445-13127.994893445
797356695440.02076748-21874.02076748
80194979183513.25381828511465.7461817147
81167488179406.544322305-11918.5443223052
82143756172516.708168126-28760.7081681257
83275541226337.99469601449203.005303986
84243199217308.99193491225890.0080650885
85182999167677.23646941315321.7635305874
86135649153130.599330373-17481.599330373
87152299158693.219270836-6394.21927083606
88120221129527.162398667-9306.16239866699
89346485271168.97929354575316.0207064552
90145790150835.540745237-5045.54074523682
91193339159079.85363548434259.1463645158
928095399307.9379087433-18354.9379087433
93122774147218.85428343-24444.8542834304
94130585127827.8166869082757.1833130923
9511261184806.5289373327804.4710626701
96286468269470.82118194416997.1788180563
97241066196109.30406250344956.6959374967
98148446267668.016548272-119222.016548272
99204713176587.58809315728125.4119068435
100182079200511.364716504-18432.364716504
101140344132013.2001791088330.79982089197
102220516227648.788554079-7132.78855407926
103243060216096.24018573726963.7598142632
104162765159594.9596501163170.0403498841
105182613174319.7847395518293.21526044877
106232138228332.1982467363805.80175326375
107265318286252.393365244-20934.3933652439
1088557492612.047088755-7038.047088755
109310839325120.310534997-14281.3105349971
110225060213691.22442390911368.7755760908
111232317234529.466658772-2212.4666587716
112144966154970.730164292-10004.7301642923
1134328769625.8359424678-26338.8359424678
114155754152804.9371367422949.06286325769
115164709213888.316116825-49179.3161168254
116201940222772.421607319-20832.4216073189
117235454233430.5020747732023.49792522658
118220801168335.67247103752465.327528963
11999466116976.899199345-17510.8991993453
12092661109089.596255658-16428.5962556583
121133328134640.207643991-1312.2076439914
1226136197611.4297303651-36250.4297303651
123125930162329.209474236-36399.2094742357
124100750151210.420271872-50460.4202718721
125224549159500.08927566465048.9107243362
1268231659175.860939369623140.1390606304
12710201089516.516148539212493.4838514608
128101523114048.350724139-12525.3507241388
129243511212675.33608381530835.6639161846
1302293817883.80931256655054.1906874335
1314156645478.2742155913-3912.27421559129
132152474182224.2515347-29750.2515347004
1336185745515.380788395916341.6192116041
13499923149471.007457457-49548.0074574566
135132487144943.09685768-12456.0968576797
136317394278929.18880022538464.8111997749
1372105415996.65425601875057.34574398127
138209641177450.10327168732190.8967283127
1392264844725.1756946256-22077.1756946256
1403141446062.0478284945-14648.0478284945
1414669864856.4828539705-18158.4828539705
142131698143845.303310331-12147.3033103308
1439173584871.87055371026863.12944628981
144244749247090.242276542-2341.24227654223
145184510176251.5784035418258.42159645888
1467986396514.1193857129-16651.1193857129
147128423132482.9417893-4059.94178930026
14897839126157.344181627-28318.3441816271
1493821453521.5848825537-15307.5848825537
150151101148056.0899627873044.91003721333
151272458243602.68542353328855.3145764671
152172494171767.915848858726.084151141835
153108043112007.321153214-3964.32115321399
154328107317044.66458272411062.3354172757
155250579231782.46824436718796.5317556328
156351067328870.28571905622196.7142809437
157158015134608.782947123406.2170528997
1589886689859.77844742619006.2215525739
15985439104798.367233505-19359.3672335046
160229242240701.497974625-11459.4979746246
161351619338607.28858205913011.7114179409
16284207103587.12073604-19380.1207360404
163120445131905.813313008-11460.8133130081
164324598338512.194673153-13914.1946731526
165131069160482.200830108-29413.2008301079
166204271169214.64928489535056.3507151048
167165543180917.420708425-15374.4207084247
168141722144520.445942814-2798.44594281393
16911604891289.671184974224758.3288150258
170250047159160.87376714890886.1262328524
171299775309008.409579065-9233.40957906468
172195838214567.280689171-18729.2806891711
173173260149043.39841602124216.6015839786
174254488238501.10288833815986.8971116624
175104389177663.235134472-73274.2351344716
176136084131995.0826154594088.91738454111
177199476237133.791969197-37657.7919691973
1789249979464.981437058113034.0185629419
179224330228228.748464872-3898.74846487238
18013578191070.10170654344710.898293457
1817440897365.4241092937-22957.4241092937
18281240117633.224957193-36393.2249571927
183146886496.74433486428191.2556651358
184181633168302.32689629813330.673103702
185271856252720.43671376419135.5632862363
18671993754.383639751263444.61636024874
1874666041959.56836102034700.43163897966
188175472971.4948856875814575.5051143124
189133368124799.2546650138568.74533498734
1909522780791.144841264414435.8551587356
191152601123669.61201449428931.3879855059
1929814698873.8750657091-727.875065709147
1937961995665.9723818459-16046.9723818459
1945919473704.7650073756-14510.7650073756
195139942139908.91770019333.0822998074828
196118612121346.088276808-2734.08827680794
1977288089427.1546868399-16547.1546868399
1986547572359.5945895429-6884.5945895429
19999643136412.226196004-36769.2261960039
2007196590371.4794997519-18406.4794997519
2017727273102.4318906674169.56810933293
2024928943971.84236265825317.15763734179
203135131116651.21722527518479.7827747249
20410844699909.79396889788536.20603110223
20589746123459.524280988-33713.5242809881
2064429652187.1184662748-7891.11846627482
2077764876806.7755604932841.224439506792
208181528135747.94373637545780.0562636254
209134019106991.40966236627027.5903376342
210124064114359.9793891369704.02061086352
2119263080239.46260886612390.537391134
21212184889948.874286614231899.1257133858
2135291554088.4735256058-1173.47352560577
2148187271551.650563912710320.3494360873
2155898194794.014391473-35813.0143914729
2165351563907.6798681453-10392.6798681453
2176081289975.6335734318-29163.6335734318
2185637558759.8214175743-2384.82141757427
2196549061530.6993481913959.300651809
2208094949053.064932978431895.9350670216
2217630287829.1600764652-11527.1600764652
222104011112872.530966542-8861.53096654215
22398104149030.26127832-50926.2612783204
2246798961987.79563652566001.20436347437
2253098931707.8757734069-718.875773406853
226135458139354.038494232-3896.0384942318
2277350459146.899896766614357.1001032334
22863123100907.174997931-37784.1749979308
2296125481077.010529559-19823.0105295589
23074914107868.753714451-32954.7537144511
2313177441597.121030601-9823.12103060104
2328143780921.5863927339515.413607266148
23387186121097.157865311-33911.1578653109
2345009055064.5359372095-4974.53593720947
2356574599199.9553159733-33454.9553159733
2365665362931.6830300425-6278.68303004246
237158399103794.08070581854604.9192941817
2384645560964.3032242773-14509.3032242773
2397362485856.2788246736-12232.2788246736
2403839563148.8123741191-24753.8123741191
2419189983824.31178558078074.68821441927
242139526142075.723449428-2549.72344942813
2435216464796.3804289288-12632.3804289288
2445156760868.6346137366-9301.63461373663
2457055173848.8884967107-3297.88849671068
2468485697165.635884856-12309.635884856
247102538121690.699092629-19152.6990926289
2488667863963.132911150322714.8670888497
2498570981490.56292078964218.43707921037
2503466252676.0726180333-18014.0726180333
251150580133702.5989517416877.4010482599
2529961194425.64152953055185.35847046945
253193497799.9678086682311549.0321913318
2549937399581.215665823-208.215665822946
2558623099648.1988852817-13418.1988852817
2563083728161.4605325452675.53946745502
2573170640843.7048540806-9137.70485408062
2588980675887.708612452713918.2913875473
2596208845216.017767577116871.9822324229
2604015131250.487403228900.51259677997
2612763441323.7587253087-13689.7587253087
2627699066916.501543226210073.4984567738
2633746021318.948579424816141.0514205752
2645415758558.8040332899-4401.80403328992
2654986262775.2649393418-12913.2649393418
2668433774200.948707685510136.0512923145
2676417583513.0311058352-19338.0311058352
2685938267758.7880816433-8376.78808164333
26911930869502.114424460249805.8855755398
2707670294519.1825526847-17817.1825526847
271103425113642.461052477-10217.4610524772
2727034463650.45931742546693.54068257455
2734341038727.08170845954682.91829154049
27410483895401.13349085359436.86650914652
2756221549648.56349535212566.436504648
2766930479406.797554154-10102.797554154
2775311738849.411393794314267.5886062057
2781976410381.06980717479382.93019282533
2798668086919.4655805661-239.465580566118
2808410569486.702625995714618.2973740043
2817794579753.0492675038-1808.04926750383
2828911372175.495461366516937.5045386334
2839100592550.7201173222-1545.72011732215
2844024827332.741458050612915.2585419494
2856418757393.08754421056793.9124557895
2865085753867.3691051968-3010.36910519676
2875661349551.43524758517061.56475241495
2886279273983.5072250778-11191.5072250778
2897253573651.7210891019-1116.72108910187

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 210907 & 168539.887632555 & 42367.1123674449 \tabularnewline
2 & 120982 & 132059.668440426 & -11077.6684404255 \tabularnewline
3 & 176508 & 181273.56479701 & -4765.56479700965 \tabularnewline
4 & 179321 & 258948.255767662 & -79627.2557676616 \tabularnewline
5 & 123185 & 85538.7976930888 & 37646.2023069112 \tabularnewline
6 & 52746 & 70462.2536944764 & -17716.2536944764 \tabularnewline
7 & 385534 & 349121.275362622 & 36412.7246373781 \tabularnewline
8 & 33170 & 35029.2722334431 & -1859.27223344315 \tabularnewline
9 & 101645 & 86955.8186974623 & 14689.1813025377 \tabularnewline
10 & 149061 & 176316.846465537 & -27255.8464655366 \tabularnewline
11 & 165446 & 142370.175271751 & 23075.8247282491 \tabularnewline
12 & 237213 & 208272.740012812 & 28940.2599871876 \tabularnewline
13 & 173326 & 175238.776696425 & -1912.77669642531 \tabularnewline
14 & 133131 & 139204.590592432 & -6073.59059243162 \tabularnewline
15 & 258873 & 239870.48815978 & 19002.5118402198 \tabularnewline
16 & 180083 & 161334.702891179 & 18748.2971088206 \tabularnewline
17 & 324799 & 369790.495527799 & -44991.4955277987 \tabularnewline
18 & 230964 & 207236.498340907 & 23727.5016590931 \tabularnewline
19 & 236785 & 233054.782782978 & 3730.21721702168 \tabularnewline
20 & 135473 & 148897.336553779 & -13424.3365537786 \tabularnewline
21 & 202925 & 204019.924550851 & -1094.92455085104 \tabularnewline
22 & 215147 & 204291.073451219 & 10855.926548781 \tabularnewline
23 & 344297 & 238653.24580737 & 105643.75419263 \tabularnewline
24 & 153935 & 119309.506481753 & 34625.4935182474 \tabularnewline
25 & 132943 & 167785.847869398 & -34842.8478693985 \tabularnewline
26 & 174724 & 256094.9253171 & -81370.9253171002 \tabularnewline
27 & 174415 & 216843.461308996 & -42428.461308996 \tabularnewline
28 & 225548 & 241999.296048167 & -16451.2960481675 \tabularnewline
29 & 223632 & 177853.914166866 & 45778.0858331343 \tabularnewline
30 & 124817 & 124382.318358564 & 434.681641435757 \tabularnewline
31 & 221698 & 199241.335502165 & 22456.6644978347 \tabularnewline
32 & 210767 & 205399.963623484 & 5367.03637651585 \tabularnewline
33 & 170266 & 185835.437063913 & -15569.4370639134 \tabularnewline
34 & 260561 & 217255.595179753 & 43305.4048202466 \tabularnewline
35 & 84853 & 91953.6656414298 & -7100.66564142985 \tabularnewline
36 & 294424 & 273293.284801537 & 21130.7151984626 \tabularnewline
37 & 101011 & 66675.4110945626 & 34335.5889054373 \tabularnewline
38 & 215641 & 195517.019827971 & 20123.9801720289 \tabularnewline
39 & 325107 & 244015.508338697 & 81091.4916613031 \tabularnewline
40 & 7176 & 3256.46891391595 & 3919.53108608405 \tabularnewline
41 & 167542 & 155430.831797255 & 12111.1682027449 \tabularnewline
42 & 106408 & 68116.3777855429 & 38291.6222144571 \tabularnewline
43 & 96560 & 118560.179454618 & -22000.1794546179 \tabularnewline
44 & 265769 & 261541.556165595 & 4227.44383440507 \tabularnewline
45 & 269651 & 285023.958322367 & -15372.9583223667 \tabularnewline
46 & 149112 & 161217.587002902 & -12105.5870029023 \tabularnewline
47 & 175824 & 208504.497209725 & -32680.497209725 \tabularnewline
48 & 152871 & 149445.454328111 & 3425.54567188877 \tabularnewline
49 & 111665 & 109408.689287997 & 2256.31071200283 \tabularnewline
50 & 116408 & 159486.797767325 & -43078.7977673249 \tabularnewline
51 & 362301 & 341799.682291363 & 20501.3177086369 \tabularnewline
52 & 78800 & 82624.4698449957 & -3824.46984499568 \tabularnewline
53 & 183167 & 197171.830018011 & -14004.8300180113 \tabularnewline
54 & 277965 & 312888.753781742 & -34923.7537817417 \tabularnewline
55 & 150629 & 202724.41992786 & -52095.4199278604 \tabularnewline
56 & 168809 & 162349.634531513 & 6459.3654684874 \tabularnewline
57 & 24188 & 33617.8315970746 & -9429.83159707462 \tabularnewline
58 & 329267 & 277847.70884162 & 51419.2911583802 \tabularnewline
59 & 65029 & 65059.3310363934 & -30.3310363933929 \tabularnewline
60 & 101097 & 106350.019112016 & -5253.01911201559 \tabularnewline
61 & 218946 & 215563.060902792 & 3382.93909720794 \tabularnewline
62 & 244052 & 215786.195289157 & 28265.8047108431 \tabularnewline
63 & 341570 & 309006.011446001 & 32563.9885539989 \tabularnewline
64 & 103597 & 88653.725686338 & 14943.2743136619 \tabularnewline
65 & 233328 & 278304.677250639 & -44976.6772506394 \tabularnewline
66 & 256462 & 252170.316064547 & 4291.6839354526 \tabularnewline
67 & 206161 & 177998.337774262 & 28162.662225738 \tabularnewline
68 & 311473 & 299956.691669924 & 11516.3083300764 \tabularnewline
69 & 235800 & 262986.137119069 & -27186.1371190686 \tabularnewline
70 & 177939 & 213996.655522919 & -36057.655522919 \tabularnewline
71 & 207176 & 201297.396263692 & 5878.60373630791 \tabularnewline
72 & 196553 & 165182.159746621 & 31370.8402533787 \tabularnewline
73 & 174184 & 134478.924186159 & 39705.0758138407 \tabularnewline
74 & 143246 & 174577.614759213 & -31331.614759213 \tabularnewline
75 & 187559 & 217873.225635688 & -30314.2256356883 \tabularnewline
76 & 187681 & 210944.597862503 & -23263.5978625033 \tabularnewline
77 & 119016 & 144182.052194572 & -25166.0521945724 \tabularnewline
78 & 182192 & 195319.994893445 & -13127.994893445 \tabularnewline
79 & 73566 & 95440.02076748 & -21874.02076748 \tabularnewline
80 & 194979 & 183513.253818285 & 11465.7461817147 \tabularnewline
81 & 167488 & 179406.544322305 & -11918.5443223052 \tabularnewline
82 & 143756 & 172516.708168126 & -28760.7081681257 \tabularnewline
83 & 275541 & 226337.994696014 & 49203.005303986 \tabularnewline
84 & 243199 & 217308.991934912 & 25890.0080650885 \tabularnewline
85 & 182999 & 167677.236469413 & 15321.7635305874 \tabularnewline
86 & 135649 & 153130.599330373 & -17481.599330373 \tabularnewline
87 & 152299 & 158693.219270836 & -6394.21927083606 \tabularnewline
88 & 120221 & 129527.162398667 & -9306.16239866699 \tabularnewline
89 & 346485 & 271168.979293545 & 75316.0207064552 \tabularnewline
90 & 145790 & 150835.540745237 & -5045.54074523682 \tabularnewline
91 & 193339 & 159079.853635484 & 34259.1463645158 \tabularnewline
92 & 80953 & 99307.9379087433 & -18354.9379087433 \tabularnewline
93 & 122774 & 147218.85428343 & -24444.8542834304 \tabularnewline
94 & 130585 & 127827.816686908 & 2757.1833130923 \tabularnewline
95 & 112611 & 84806.52893733 & 27804.4710626701 \tabularnewline
96 & 286468 & 269470.821181944 & 16997.1788180563 \tabularnewline
97 & 241066 & 196109.304062503 & 44956.6959374967 \tabularnewline
98 & 148446 & 267668.016548272 & -119222.016548272 \tabularnewline
99 & 204713 & 176587.588093157 & 28125.4119068435 \tabularnewline
100 & 182079 & 200511.364716504 & -18432.364716504 \tabularnewline
101 & 140344 & 132013.200179108 & 8330.79982089197 \tabularnewline
102 & 220516 & 227648.788554079 & -7132.78855407926 \tabularnewline
103 & 243060 & 216096.240185737 & 26963.7598142632 \tabularnewline
104 & 162765 & 159594.959650116 & 3170.0403498841 \tabularnewline
105 & 182613 & 174319.784739551 & 8293.21526044877 \tabularnewline
106 & 232138 & 228332.198246736 & 3805.80175326375 \tabularnewline
107 & 265318 & 286252.393365244 & -20934.3933652439 \tabularnewline
108 & 85574 & 92612.047088755 & -7038.047088755 \tabularnewline
109 & 310839 & 325120.310534997 & -14281.3105349971 \tabularnewline
110 & 225060 & 213691.224423909 & 11368.7755760908 \tabularnewline
111 & 232317 & 234529.466658772 & -2212.4666587716 \tabularnewline
112 & 144966 & 154970.730164292 & -10004.7301642923 \tabularnewline
113 & 43287 & 69625.8359424678 & -26338.8359424678 \tabularnewline
114 & 155754 & 152804.937136742 & 2949.06286325769 \tabularnewline
115 & 164709 & 213888.316116825 & -49179.3161168254 \tabularnewline
116 & 201940 & 222772.421607319 & -20832.4216073189 \tabularnewline
117 & 235454 & 233430.502074773 & 2023.49792522658 \tabularnewline
118 & 220801 & 168335.672471037 & 52465.327528963 \tabularnewline
119 & 99466 & 116976.899199345 & -17510.8991993453 \tabularnewline
120 & 92661 & 109089.596255658 & -16428.5962556583 \tabularnewline
121 & 133328 & 134640.207643991 & -1312.2076439914 \tabularnewline
122 & 61361 & 97611.4297303651 & -36250.4297303651 \tabularnewline
123 & 125930 & 162329.209474236 & -36399.2094742357 \tabularnewline
124 & 100750 & 151210.420271872 & -50460.4202718721 \tabularnewline
125 & 224549 & 159500.089275664 & 65048.9107243362 \tabularnewline
126 & 82316 & 59175.8609393696 & 23140.1390606304 \tabularnewline
127 & 102010 & 89516.5161485392 & 12493.4838514608 \tabularnewline
128 & 101523 & 114048.350724139 & -12525.3507241388 \tabularnewline
129 & 243511 & 212675.336083815 & 30835.6639161846 \tabularnewline
130 & 22938 & 17883.8093125665 & 5054.1906874335 \tabularnewline
131 & 41566 & 45478.2742155913 & -3912.27421559129 \tabularnewline
132 & 152474 & 182224.2515347 & -29750.2515347004 \tabularnewline
133 & 61857 & 45515.3807883959 & 16341.6192116041 \tabularnewline
134 & 99923 & 149471.007457457 & -49548.0074574566 \tabularnewline
135 & 132487 & 144943.09685768 & -12456.0968576797 \tabularnewline
136 & 317394 & 278929.188800225 & 38464.8111997749 \tabularnewline
137 & 21054 & 15996.6542560187 & 5057.34574398127 \tabularnewline
138 & 209641 & 177450.103271687 & 32190.8967283127 \tabularnewline
139 & 22648 & 44725.1756946256 & -22077.1756946256 \tabularnewline
140 & 31414 & 46062.0478284945 & -14648.0478284945 \tabularnewline
141 & 46698 & 64856.4828539705 & -18158.4828539705 \tabularnewline
142 & 131698 & 143845.303310331 & -12147.3033103308 \tabularnewline
143 & 91735 & 84871.8705537102 & 6863.12944628981 \tabularnewline
144 & 244749 & 247090.242276542 & -2341.24227654223 \tabularnewline
145 & 184510 & 176251.578403541 & 8258.42159645888 \tabularnewline
146 & 79863 & 96514.1193857129 & -16651.1193857129 \tabularnewline
147 & 128423 & 132482.9417893 & -4059.94178930026 \tabularnewline
148 & 97839 & 126157.344181627 & -28318.3441816271 \tabularnewline
149 & 38214 & 53521.5848825537 & -15307.5848825537 \tabularnewline
150 & 151101 & 148056.089962787 & 3044.91003721333 \tabularnewline
151 & 272458 & 243602.685423533 & 28855.3145764671 \tabularnewline
152 & 172494 & 171767.915848858 & 726.084151141835 \tabularnewline
153 & 108043 & 112007.321153214 & -3964.32115321399 \tabularnewline
154 & 328107 & 317044.664582724 & 11062.3354172757 \tabularnewline
155 & 250579 & 231782.468244367 & 18796.5317556328 \tabularnewline
156 & 351067 & 328870.285719056 & 22196.7142809437 \tabularnewline
157 & 158015 & 134608.7829471 & 23406.2170528997 \tabularnewline
158 & 98866 & 89859.7784474261 & 9006.2215525739 \tabularnewline
159 & 85439 & 104798.367233505 & -19359.3672335046 \tabularnewline
160 & 229242 & 240701.497974625 & -11459.4979746246 \tabularnewline
161 & 351619 & 338607.288582059 & 13011.7114179409 \tabularnewline
162 & 84207 & 103587.12073604 & -19380.1207360404 \tabularnewline
163 & 120445 & 131905.813313008 & -11460.8133130081 \tabularnewline
164 & 324598 & 338512.194673153 & -13914.1946731526 \tabularnewline
165 & 131069 & 160482.200830108 & -29413.2008301079 \tabularnewline
166 & 204271 & 169214.649284895 & 35056.3507151048 \tabularnewline
167 & 165543 & 180917.420708425 & -15374.4207084247 \tabularnewline
168 & 141722 & 144520.445942814 & -2798.44594281393 \tabularnewline
169 & 116048 & 91289.6711849742 & 24758.3288150258 \tabularnewline
170 & 250047 & 159160.873767148 & 90886.1262328524 \tabularnewline
171 & 299775 & 309008.409579065 & -9233.40957906468 \tabularnewline
172 & 195838 & 214567.280689171 & -18729.2806891711 \tabularnewline
173 & 173260 & 149043.398416021 & 24216.6015839786 \tabularnewline
174 & 254488 & 238501.102888338 & 15986.8971116624 \tabularnewline
175 & 104389 & 177663.235134472 & -73274.2351344716 \tabularnewline
176 & 136084 & 131995.082615459 & 4088.91738454111 \tabularnewline
177 & 199476 & 237133.791969197 & -37657.7919691973 \tabularnewline
178 & 92499 & 79464.9814370581 & 13034.0185629419 \tabularnewline
179 & 224330 & 228228.748464872 & -3898.74846487238 \tabularnewline
180 & 135781 & 91070.101706543 & 44710.898293457 \tabularnewline
181 & 74408 & 97365.4241092937 & -22957.4241092937 \tabularnewline
182 & 81240 & 117633.224957193 & -36393.2249571927 \tabularnewline
183 & 14688 & 6496.7443348642 & 8191.2556651358 \tabularnewline
184 & 181633 & 168302.326896298 & 13330.673103702 \tabularnewline
185 & 271856 & 252720.436713764 & 19135.5632862363 \tabularnewline
186 & 7199 & 3754.38363975126 & 3444.61636024874 \tabularnewline
187 & 46660 & 41959.5683610203 & 4700.43163897966 \tabularnewline
188 & 17547 & 2971.49488568758 & 14575.5051143124 \tabularnewline
189 & 133368 & 124799.254665013 & 8568.74533498734 \tabularnewline
190 & 95227 & 80791.1448412644 & 14435.8551587356 \tabularnewline
191 & 152601 & 123669.612014494 & 28931.3879855059 \tabularnewline
192 & 98146 & 98873.8750657091 & -727.875065709147 \tabularnewline
193 & 79619 & 95665.9723818459 & -16046.9723818459 \tabularnewline
194 & 59194 & 73704.7650073756 & -14510.7650073756 \tabularnewline
195 & 139942 & 139908.917700193 & 33.0822998074828 \tabularnewline
196 & 118612 & 121346.088276808 & -2734.08827680794 \tabularnewline
197 & 72880 & 89427.1546868399 & -16547.1546868399 \tabularnewline
198 & 65475 & 72359.5945895429 & -6884.5945895429 \tabularnewline
199 & 99643 & 136412.226196004 & -36769.2261960039 \tabularnewline
200 & 71965 & 90371.4794997519 & -18406.4794997519 \tabularnewline
201 & 77272 & 73102.431890667 & 4169.56810933293 \tabularnewline
202 & 49289 & 43971.8423626582 & 5317.15763734179 \tabularnewline
203 & 135131 & 116651.217225275 & 18479.7827747249 \tabularnewline
204 & 108446 & 99909.7939688978 & 8536.20603110223 \tabularnewline
205 & 89746 & 123459.524280988 & -33713.5242809881 \tabularnewline
206 & 44296 & 52187.1184662748 & -7891.11846627482 \tabularnewline
207 & 77648 & 76806.7755604932 & 841.224439506792 \tabularnewline
208 & 181528 & 135747.943736375 & 45780.0562636254 \tabularnewline
209 & 134019 & 106991.409662366 & 27027.5903376342 \tabularnewline
210 & 124064 & 114359.979389136 & 9704.02061086352 \tabularnewline
211 & 92630 & 80239.462608866 & 12390.537391134 \tabularnewline
212 & 121848 & 89948.8742866142 & 31899.1257133858 \tabularnewline
213 & 52915 & 54088.4735256058 & -1173.47352560577 \tabularnewline
214 & 81872 & 71551.6505639127 & 10320.3494360873 \tabularnewline
215 & 58981 & 94794.014391473 & -35813.0143914729 \tabularnewline
216 & 53515 & 63907.6798681453 & -10392.6798681453 \tabularnewline
217 & 60812 & 89975.6335734318 & -29163.6335734318 \tabularnewline
218 & 56375 & 58759.8214175743 & -2384.82141757427 \tabularnewline
219 & 65490 & 61530.699348191 & 3959.300651809 \tabularnewline
220 & 80949 & 49053.0649329784 & 31895.9350670216 \tabularnewline
221 & 76302 & 87829.1600764652 & -11527.1600764652 \tabularnewline
222 & 104011 & 112872.530966542 & -8861.53096654215 \tabularnewline
223 & 98104 & 149030.26127832 & -50926.2612783204 \tabularnewline
224 & 67989 & 61987.7956365256 & 6001.20436347437 \tabularnewline
225 & 30989 & 31707.8757734069 & -718.875773406853 \tabularnewline
226 & 135458 & 139354.038494232 & -3896.0384942318 \tabularnewline
227 & 73504 & 59146.8998967666 & 14357.1001032334 \tabularnewline
228 & 63123 & 100907.174997931 & -37784.1749979308 \tabularnewline
229 & 61254 & 81077.010529559 & -19823.0105295589 \tabularnewline
230 & 74914 & 107868.753714451 & -32954.7537144511 \tabularnewline
231 & 31774 & 41597.121030601 & -9823.12103060104 \tabularnewline
232 & 81437 & 80921.5863927339 & 515.413607266148 \tabularnewline
233 & 87186 & 121097.157865311 & -33911.1578653109 \tabularnewline
234 & 50090 & 55064.5359372095 & -4974.53593720947 \tabularnewline
235 & 65745 & 99199.9553159733 & -33454.9553159733 \tabularnewline
236 & 56653 & 62931.6830300425 & -6278.68303004246 \tabularnewline
237 & 158399 & 103794.080705818 & 54604.9192941817 \tabularnewline
238 & 46455 & 60964.3032242773 & -14509.3032242773 \tabularnewline
239 & 73624 & 85856.2788246736 & -12232.2788246736 \tabularnewline
240 & 38395 & 63148.8123741191 & -24753.8123741191 \tabularnewline
241 & 91899 & 83824.3117855807 & 8074.68821441927 \tabularnewline
242 & 139526 & 142075.723449428 & -2549.72344942813 \tabularnewline
243 & 52164 & 64796.3804289288 & -12632.3804289288 \tabularnewline
244 & 51567 & 60868.6346137366 & -9301.63461373663 \tabularnewline
245 & 70551 & 73848.8884967107 & -3297.88849671068 \tabularnewline
246 & 84856 & 97165.635884856 & -12309.635884856 \tabularnewline
247 & 102538 & 121690.699092629 & -19152.6990926289 \tabularnewline
248 & 86678 & 63963.1329111503 & 22714.8670888497 \tabularnewline
249 & 85709 & 81490.5629207896 & 4218.43707921037 \tabularnewline
250 & 34662 & 52676.0726180333 & -18014.0726180333 \tabularnewline
251 & 150580 & 133702.59895174 & 16877.4010482599 \tabularnewline
252 & 99611 & 94425.6415295305 & 5185.35847046945 \tabularnewline
253 & 19349 & 7799.96780866823 & 11549.0321913318 \tabularnewline
254 & 99373 & 99581.215665823 & -208.215665822946 \tabularnewline
255 & 86230 & 99648.1988852817 & -13418.1988852817 \tabularnewline
256 & 30837 & 28161.460532545 & 2675.53946745502 \tabularnewline
257 & 31706 & 40843.7048540806 & -9137.70485408062 \tabularnewline
258 & 89806 & 75887.7086124527 & 13918.2913875473 \tabularnewline
259 & 62088 & 45216.0177675771 & 16871.9822324229 \tabularnewline
260 & 40151 & 31250.48740322 & 8900.51259677997 \tabularnewline
261 & 27634 & 41323.7587253087 & -13689.7587253087 \tabularnewline
262 & 76990 & 66916.5015432262 & 10073.4984567738 \tabularnewline
263 & 37460 & 21318.9485794248 & 16141.0514205752 \tabularnewline
264 & 54157 & 58558.8040332899 & -4401.80403328992 \tabularnewline
265 & 49862 & 62775.2649393418 & -12913.2649393418 \tabularnewline
266 & 84337 & 74200.9487076855 & 10136.0512923145 \tabularnewline
267 & 64175 & 83513.0311058352 & -19338.0311058352 \tabularnewline
268 & 59382 & 67758.7880816433 & -8376.78808164333 \tabularnewline
269 & 119308 & 69502.1144244602 & 49805.8855755398 \tabularnewline
270 & 76702 & 94519.1825526847 & -17817.1825526847 \tabularnewline
271 & 103425 & 113642.461052477 & -10217.4610524772 \tabularnewline
272 & 70344 & 63650.4593174254 & 6693.54068257455 \tabularnewline
273 & 43410 & 38727.0817084595 & 4682.91829154049 \tabularnewline
274 & 104838 & 95401.1334908535 & 9436.86650914652 \tabularnewline
275 & 62215 & 49648.563495352 & 12566.436504648 \tabularnewline
276 & 69304 & 79406.797554154 & -10102.797554154 \tabularnewline
277 & 53117 & 38849.4113937943 & 14267.5886062057 \tabularnewline
278 & 19764 & 10381.0698071747 & 9382.93019282533 \tabularnewline
279 & 86680 & 86919.4655805661 & -239.465580566118 \tabularnewline
280 & 84105 & 69486.7026259957 & 14618.2973740043 \tabularnewline
281 & 77945 & 79753.0492675038 & -1808.04926750383 \tabularnewline
282 & 89113 & 72175.4954613665 & 16937.5045386334 \tabularnewline
283 & 91005 & 92550.7201173222 & -1545.72011732215 \tabularnewline
284 & 40248 & 27332.7414580506 & 12915.2585419494 \tabularnewline
285 & 64187 & 57393.0875442105 & 6793.9124557895 \tabularnewline
286 & 50857 & 53867.3691051968 & -3010.36910519676 \tabularnewline
287 & 56613 & 49551.4352475851 & 7061.56475241495 \tabularnewline
288 & 62792 & 73983.5072250778 & -11191.5072250778 \tabularnewline
289 & 72535 & 73651.7210891019 & -1116.72108910187 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157446&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]210907[/C][C]168539.887632555[/C][C]42367.1123674449[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]132059.668440426[/C][C]-11077.6684404255[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]181273.56479701[/C][C]-4765.56479700965[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]258948.255767662[/C][C]-79627.2557676616[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]85538.7976930888[/C][C]37646.2023069112[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]70462.2536944764[/C][C]-17716.2536944764[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]349121.275362622[/C][C]36412.7246373781[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]35029.2722334431[/C][C]-1859.27223344315[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]86955.8186974623[/C][C]14689.1813025377[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]176316.846465537[/C][C]-27255.8464655366[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]142370.175271751[/C][C]23075.8247282491[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]208272.740012812[/C][C]28940.2599871876[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]175238.776696425[/C][C]-1912.77669642531[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]139204.590592432[/C][C]-6073.59059243162[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]239870.48815978[/C][C]19002.5118402198[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]161334.702891179[/C][C]18748.2971088206[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]369790.495527799[/C][C]-44991.4955277987[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]207236.498340907[/C][C]23727.5016590931[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]233054.782782978[/C][C]3730.21721702168[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]148897.336553779[/C][C]-13424.3365537786[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]204019.924550851[/C][C]-1094.92455085104[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]204291.073451219[/C][C]10855.926548781[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]238653.24580737[/C][C]105643.75419263[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]119309.506481753[/C][C]34625.4935182474[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]167785.847869398[/C][C]-34842.8478693985[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]256094.9253171[/C][C]-81370.9253171002[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]216843.461308996[/C][C]-42428.461308996[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]241999.296048167[/C][C]-16451.2960481675[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]177853.914166866[/C][C]45778.0858331343[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]124382.318358564[/C][C]434.681641435757[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]199241.335502165[/C][C]22456.6644978347[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]205399.963623484[/C][C]5367.03637651585[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]185835.437063913[/C][C]-15569.4370639134[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]217255.595179753[/C][C]43305.4048202466[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]91953.6656414298[/C][C]-7100.66564142985[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]273293.284801537[/C][C]21130.7151984626[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]66675.4110945626[/C][C]34335.5889054373[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]195517.019827971[/C][C]20123.9801720289[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]244015.508338697[/C][C]81091.4916613031[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]3256.46891391595[/C][C]3919.53108608405[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]155430.831797255[/C][C]12111.1682027449[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]68116.3777855429[/C][C]38291.6222144571[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]118560.179454618[/C][C]-22000.1794546179[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]261541.556165595[/C][C]4227.44383440507[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]285023.958322367[/C][C]-15372.9583223667[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]161217.587002902[/C][C]-12105.5870029023[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]208504.497209725[/C][C]-32680.497209725[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]149445.454328111[/C][C]3425.54567188877[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]109408.689287997[/C][C]2256.31071200283[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]159486.797767325[/C][C]-43078.7977673249[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]341799.682291363[/C][C]20501.3177086369[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]82624.4698449957[/C][C]-3824.46984499568[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]197171.830018011[/C][C]-14004.8300180113[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]312888.753781742[/C][C]-34923.7537817417[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]202724.41992786[/C][C]-52095.4199278604[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]162349.634531513[/C][C]6459.3654684874[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]33617.8315970746[/C][C]-9429.83159707462[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]277847.70884162[/C][C]51419.2911583802[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]65059.3310363934[/C][C]-30.3310363933929[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]106350.019112016[/C][C]-5253.01911201559[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]215563.060902792[/C][C]3382.93909720794[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]215786.195289157[/C][C]28265.8047108431[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]309006.011446001[/C][C]32563.9885539989[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]88653.725686338[/C][C]14943.2743136619[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]278304.677250639[/C][C]-44976.6772506394[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]252170.316064547[/C][C]4291.6839354526[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]177998.337774262[/C][C]28162.662225738[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]299956.691669924[/C][C]11516.3083300764[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]262986.137119069[/C][C]-27186.1371190686[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]213996.655522919[/C][C]-36057.655522919[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]201297.396263692[/C][C]5878.60373630791[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]165182.159746621[/C][C]31370.8402533787[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]134478.924186159[/C][C]39705.0758138407[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]174577.614759213[/C][C]-31331.614759213[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]217873.225635688[/C][C]-30314.2256356883[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]210944.597862503[/C][C]-23263.5978625033[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]144182.052194572[/C][C]-25166.0521945724[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]195319.994893445[/C][C]-13127.994893445[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]95440.02076748[/C][C]-21874.02076748[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]183513.253818285[/C][C]11465.7461817147[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]179406.544322305[/C][C]-11918.5443223052[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]172516.708168126[/C][C]-28760.7081681257[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]226337.994696014[/C][C]49203.005303986[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]217308.991934912[/C][C]25890.0080650885[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]167677.236469413[/C][C]15321.7635305874[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]153130.599330373[/C][C]-17481.599330373[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]158693.219270836[/C][C]-6394.21927083606[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]129527.162398667[/C][C]-9306.16239866699[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]271168.979293545[/C][C]75316.0207064552[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]150835.540745237[/C][C]-5045.54074523682[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]159079.853635484[/C][C]34259.1463645158[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]99307.9379087433[/C][C]-18354.9379087433[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]147218.85428343[/C][C]-24444.8542834304[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]127827.816686908[/C][C]2757.1833130923[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]84806.52893733[/C][C]27804.4710626701[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]269470.821181944[/C][C]16997.1788180563[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]196109.304062503[/C][C]44956.6959374967[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]267668.016548272[/C][C]-119222.016548272[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]176587.588093157[/C][C]28125.4119068435[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]200511.364716504[/C][C]-18432.364716504[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]132013.200179108[/C][C]8330.79982089197[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]227648.788554079[/C][C]-7132.78855407926[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]216096.240185737[/C][C]26963.7598142632[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]159594.959650116[/C][C]3170.0403498841[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]174319.784739551[/C][C]8293.21526044877[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]228332.198246736[/C][C]3805.80175326375[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]286252.393365244[/C][C]-20934.3933652439[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]92612.047088755[/C][C]-7038.047088755[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]325120.310534997[/C][C]-14281.3105349971[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]213691.224423909[/C][C]11368.7755760908[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]234529.466658772[/C][C]-2212.4666587716[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]154970.730164292[/C][C]-10004.7301642923[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]69625.8359424678[/C][C]-26338.8359424678[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]152804.937136742[/C][C]2949.06286325769[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]213888.316116825[/C][C]-49179.3161168254[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]222772.421607319[/C][C]-20832.4216073189[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]233430.502074773[/C][C]2023.49792522658[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]168335.672471037[/C][C]52465.327528963[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]116976.899199345[/C][C]-17510.8991993453[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]109089.596255658[/C][C]-16428.5962556583[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]134640.207643991[/C][C]-1312.2076439914[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]97611.4297303651[/C][C]-36250.4297303651[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]162329.209474236[/C][C]-36399.2094742357[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]151210.420271872[/C][C]-50460.4202718721[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]159500.089275664[/C][C]65048.9107243362[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]59175.8609393696[/C][C]23140.1390606304[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]89516.5161485392[/C][C]12493.4838514608[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]114048.350724139[/C][C]-12525.3507241388[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]212675.336083815[/C][C]30835.6639161846[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]17883.8093125665[/C][C]5054.1906874335[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]45478.2742155913[/C][C]-3912.27421559129[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]182224.2515347[/C][C]-29750.2515347004[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]45515.3807883959[/C][C]16341.6192116041[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]149471.007457457[/C][C]-49548.0074574566[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]144943.09685768[/C][C]-12456.0968576797[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]278929.188800225[/C][C]38464.8111997749[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]15996.6542560187[/C][C]5057.34574398127[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]177450.103271687[/C][C]32190.8967283127[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]44725.1756946256[/C][C]-22077.1756946256[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]46062.0478284945[/C][C]-14648.0478284945[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]64856.4828539705[/C][C]-18158.4828539705[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]143845.303310331[/C][C]-12147.3033103308[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]84871.8705537102[/C][C]6863.12944628981[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]247090.242276542[/C][C]-2341.24227654223[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]176251.578403541[/C][C]8258.42159645888[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]96514.1193857129[/C][C]-16651.1193857129[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]132482.9417893[/C][C]-4059.94178930026[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]126157.344181627[/C][C]-28318.3441816271[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]53521.5848825537[/C][C]-15307.5848825537[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]148056.089962787[/C][C]3044.91003721333[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]243602.685423533[/C][C]28855.3145764671[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]171767.915848858[/C][C]726.084151141835[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]112007.321153214[/C][C]-3964.32115321399[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]317044.664582724[/C][C]11062.3354172757[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]231782.468244367[/C][C]18796.5317556328[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]328870.285719056[/C][C]22196.7142809437[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]134608.7829471[/C][C]23406.2170528997[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]89859.7784474261[/C][C]9006.2215525739[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]104798.367233505[/C][C]-19359.3672335046[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]240701.497974625[/C][C]-11459.4979746246[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]338607.288582059[/C][C]13011.7114179409[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]103587.12073604[/C][C]-19380.1207360404[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]131905.813313008[/C][C]-11460.8133130081[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]338512.194673153[/C][C]-13914.1946731526[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]160482.200830108[/C][C]-29413.2008301079[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]169214.649284895[/C][C]35056.3507151048[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]180917.420708425[/C][C]-15374.4207084247[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]144520.445942814[/C][C]-2798.44594281393[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]91289.6711849742[/C][C]24758.3288150258[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]159160.873767148[/C][C]90886.1262328524[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]309008.409579065[/C][C]-9233.40957906468[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]214567.280689171[/C][C]-18729.2806891711[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]149043.398416021[/C][C]24216.6015839786[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]238501.102888338[/C][C]15986.8971116624[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]177663.235134472[/C][C]-73274.2351344716[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]131995.082615459[/C][C]4088.91738454111[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]237133.791969197[/C][C]-37657.7919691973[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]79464.9814370581[/C][C]13034.0185629419[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]228228.748464872[/C][C]-3898.74846487238[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]91070.101706543[/C][C]44710.898293457[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]97365.4241092937[/C][C]-22957.4241092937[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]117633.224957193[/C][C]-36393.2249571927[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]6496.7443348642[/C][C]8191.2556651358[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]168302.326896298[/C][C]13330.673103702[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]252720.436713764[/C][C]19135.5632862363[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]3754.38363975126[/C][C]3444.61636024874[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]41959.5683610203[/C][C]4700.43163897966[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]2971.49488568758[/C][C]14575.5051143124[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]124799.254665013[/C][C]8568.74533498734[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]80791.1448412644[/C][C]14435.8551587356[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]123669.612014494[/C][C]28931.3879855059[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]98873.8750657091[/C][C]-727.875065709147[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]95665.9723818459[/C][C]-16046.9723818459[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]73704.7650073756[/C][C]-14510.7650073756[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]139908.917700193[/C][C]33.0822998074828[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]121346.088276808[/C][C]-2734.08827680794[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]89427.1546868399[/C][C]-16547.1546868399[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]72359.5945895429[/C][C]-6884.5945895429[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]136412.226196004[/C][C]-36769.2261960039[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]90371.4794997519[/C][C]-18406.4794997519[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]73102.431890667[/C][C]4169.56810933293[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]43971.8423626582[/C][C]5317.15763734179[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]116651.217225275[/C][C]18479.7827747249[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]99909.7939688978[/C][C]8536.20603110223[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]123459.524280988[/C][C]-33713.5242809881[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]52187.1184662748[/C][C]-7891.11846627482[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]76806.7755604932[/C][C]841.224439506792[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]135747.943736375[/C][C]45780.0562636254[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]106991.409662366[/C][C]27027.5903376342[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]114359.979389136[/C][C]9704.02061086352[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]80239.462608866[/C][C]12390.537391134[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]89948.8742866142[/C][C]31899.1257133858[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]54088.4735256058[/C][C]-1173.47352560577[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]71551.6505639127[/C][C]10320.3494360873[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]94794.014391473[/C][C]-35813.0143914729[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]63907.6798681453[/C][C]-10392.6798681453[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]89975.6335734318[/C][C]-29163.6335734318[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]58759.8214175743[/C][C]-2384.82141757427[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]61530.699348191[/C][C]3959.300651809[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]49053.0649329784[/C][C]31895.9350670216[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]87829.1600764652[/C][C]-11527.1600764652[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]112872.530966542[/C][C]-8861.53096654215[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]149030.26127832[/C][C]-50926.2612783204[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]61987.7956365256[/C][C]6001.20436347437[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]31707.8757734069[/C][C]-718.875773406853[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]139354.038494232[/C][C]-3896.0384942318[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]59146.8998967666[/C][C]14357.1001032334[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]100907.174997931[/C][C]-37784.1749979308[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]81077.010529559[/C][C]-19823.0105295589[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]107868.753714451[/C][C]-32954.7537144511[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]41597.121030601[/C][C]-9823.12103060104[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]80921.5863927339[/C][C]515.413607266148[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]121097.157865311[/C][C]-33911.1578653109[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]55064.5359372095[/C][C]-4974.53593720947[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]99199.9553159733[/C][C]-33454.9553159733[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]62931.6830300425[/C][C]-6278.68303004246[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]103794.080705818[/C][C]54604.9192941817[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]60964.3032242773[/C][C]-14509.3032242773[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]85856.2788246736[/C][C]-12232.2788246736[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]63148.8123741191[/C][C]-24753.8123741191[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]83824.3117855807[/C][C]8074.68821441927[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]142075.723449428[/C][C]-2549.72344942813[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]64796.3804289288[/C][C]-12632.3804289288[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]60868.6346137366[/C][C]-9301.63461373663[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]73848.8884967107[/C][C]-3297.88849671068[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]97165.635884856[/C][C]-12309.635884856[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]121690.699092629[/C][C]-19152.6990926289[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]63963.1329111503[/C][C]22714.8670888497[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]81490.5629207896[/C][C]4218.43707921037[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]52676.0726180333[/C][C]-18014.0726180333[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]133702.59895174[/C][C]16877.4010482599[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]94425.6415295305[/C][C]5185.35847046945[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]7799.96780866823[/C][C]11549.0321913318[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]99581.215665823[/C][C]-208.215665822946[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]99648.1988852817[/C][C]-13418.1988852817[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]28161.460532545[/C][C]2675.53946745502[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]40843.7048540806[/C][C]-9137.70485408062[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]75887.7086124527[/C][C]13918.2913875473[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]45216.0177675771[/C][C]16871.9822324229[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]31250.48740322[/C][C]8900.51259677997[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]41323.7587253087[/C][C]-13689.7587253087[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]66916.5015432262[/C][C]10073.4984567738[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]21318.9485794248[/C][C]16141.0514205752[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]58558.8040332899[/C][C]-4401.80403328992[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]62775.2649393418[/C][C]-12913.2649393418[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]74200.9487076855[/C][C]10136.0512923145[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]83513.0311058352[/C][C]-19338.0311058352[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]67758.7880816433[/C][C]-8376.78808164333[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]69502.1144244602[/C][C]49805.8855755398[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]94519.1825526847[/C][C]-17817.1825526847[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]113642.461052477[/C][C]-10217.4610524772[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]63650.4593174254[/C][C]6693.54068257455[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]38727.0817084595[/C][C]4682.91829154049[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]95401.1334908535[/C][C]9436.86650914652[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]49648.563495352[/C][C]12566.436504648[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]79406.797554154[/C][C]-10102.797554154[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]38849.4113937943[/C][C]14267.5886062057[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]10381.0698071747[/C][C]9382.93019282533[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]86919.4655805661[/C][C]-239.465580566118[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]69486.7026259957[/C][C]14618.2973740043[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]79753.0492675038[/C][C]-1808.04926750383[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]72175.4954613665[/C][C]16937.5045386334[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]92550.7201173222[/C][C]-1545.72011732215[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]27332.7414580506[/C][C]12915.2585419494[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]57393.0875442105[/C][C]6793.9124557895[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]53867.3691051968[/C][C]-3010.36910519676[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]49551.4352475851[/C][C]7061.56475241495[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]73983.5072250778[/C][C]-11191.5072250778[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]73651.7210891019[/C][C]-1116.72108910187[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157446&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157446&T=4

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907168539.88763255542367.1123674449
2120982132059.668440426-11077.6684404255
3176508181273.56479701-4765.56479700965
4179321258948.255767662-79627.2557676616
512318585538.797693088837646.2023069112
65274670462.2536944764-17716.2536944764
7385534349121.27536262236412.7246373781
83317035029.2722334431-1859.27223344315
910164586955.818697462314689.1813025377
10149061176316.846465537-27255.8464655366
11165446142370.17527175123075.8247282491
12237213208272.74001281228940.2599871876
13173326175238.776696425-1912.77669642531
14133131139204.590592432-6073.59059243162
15258873239870.4881597819002.5118402198
16180083161334.70289117918748.2971088206
17324799369790.495527799-44991.4955277987
18230964207236.49834090723727.5016590931
19236785233054.7827829783730.21721702168
20135473148897.336553779-13424.3365537786
21202925204019.924550851-1094.92455085104
22215147204291.07345121910855.926548781
23344297238653.24580737105643.75419263
24153935119309.50648175334625.4935182474
25132943167785.847869398-34842.8478693985
26174724256094.9253171-81370.9253171002
27174415216843.461308996-42428.461308996
28225548241999.296048167-16451.2960481675
29223632177853.91416686645778.0858331343
30124817124382.318358564434.681641435757
31221698199241.33550216522456.6644978347
32210767205399.9636234845367.03637651585
33170266185835.437063913-15569.4370639134
34260561217255.59517975343305.4048202466
358485391953.6656414298-7100.66564142985
36294424273293.28480153721130.7151984626
3710101166675.411094562634335.5889054373
38215641195517.01982797120123.9801720289
39325107244015.50833869781091.4916613031
4071763256.468913915953919.53108608405
41167542155430.83179725512111.1682027449
4210640868116.377785542938291.6222144571
4396560118560.179454618-22000.1794546179
44265769261541.5561655954227.44383440507
45269651285023.958322367-15372.9583223667
46149112161217.587002902-12105.5870029023
47175824208504.497209725-32680.497209725
48152871149445.4543281113425.54567188877
49111665109408.6892879972256.31071200283
50116408159486.797767325-43078.7977673249
51362301341799.68229136320501.3177086369
527880082624.4698449957-3824.46984499568
53183167197171.830018011-14004.8300180113
54277965312888.753781742-34923.7537817417
55150629202724.41992786-52095.4199278604
56168809162349.6345315136459.3654684874
572418833617.8315970746-9429.83159707462
58329267277847.7088416251419.2911583802
596502965059.3310363934-30.3310363933929
60101097106350.019112016-5253.01911201559
61218946215563.0609027923382.93909720794
62244052215786.19528915728265.8047108431
63341570309006.01144600132563.9885539989
6410359788653.72568633814943.2743136619
65233328278304.677250639-44976.6772506394
66256462252170.3160645474291.6839354526
67206161177998.33777426228162.662225738
68311473299956.69166992411516.3083300764
69235800262986.137119069-27186.1371190686
70177939213996.655522919-36057.655522919
71207176201297.3962636925878.60373630791
72196553165182.15974662131370.8402533787
73174184134478.92418615939705.0758138407
74143246174577.614759213-31331.614759213
75187559217873.225635688-30314.2256356883
76187681210944.597862503-23263.5978625033
77119016144182.052194572-25166.0521945724
78182192195319.994893445-13127.994893445
797356695440.02076748-21874.02076748
80194979183513.25381828511465.7461817147
81167488179406.544322305-11918.5443223052
82143756172516.708168126-28760.7081681257
83275541226337.99469601449203.005303986
84243199217308.99193491225890.0080650885
85182999167677.23646941315321.7635305874
86135649153130.599330373-17481.599330373
87152299158693.219270836-6394.21927083606
88120221129527.162398667-9306.16239866699
89346485271168.97929354575316.0207064552
90145790150835.540745237-5045.54074523682
91193339159079.85363548434259.1463645158
928095399307.9379087433-18354.9379087433
93122774147218.85428343-24444.8542834304
94130585127827.8166869082757.1833130923
9511261184806.5289373327804.4710626701
96286468269470.82118194416997.1788180563
97241066196109.30406250344956.6959374967
98148446267668.016548272-119222.016548272
99204713176587.58809315728125.4119068435
100182079200511.364716504-18432.364716504
101140344132013.2001791088330.79982089197
102220516227648.788554079-7132.78855407926
103243060216096.24018573726963.7598142632
104162765159594.9596501163170.0403498841
105182613174319.7847395518293.21526044877
106232138228332.1982467363805.80175326375
107265318286252.393365244-20934.3933652439
1088557492612.047088755-7038.047088755
109310839325120.310534997-14281.3105349971
110225060213691.22442390911368.7755760908
111232317234529.466658772-2212.4666587716
112144966154970.730164292-10004.7301642923
1134328769625.8359424678-26338.8359424678
114155754152804.9371367422949.06286325769
115164709213888.316116825-49179.3161168254
116201940222772.421607319-20832.4216073189
117235454233430.5020747732023.49792522658
118220801168335.67247103752465.327528963
11999466116976.899199345-17510.8991993453
12092661109089.596255658-16428.5962556583
121133328134640.207643991-1312.2076439914
1226136197611.4297303651-36250.4297303651
123125930162329.209474236-36399.2094742357
124100750151210.420271872-50460.4202718721
125224549159500.08927566465048.9107243362
1268231659175.860939369623140.1390606304
12710201089516.516148539212493.4838514608
128101523114048.350724139-12525.3507241388
129243511212675.33608381530835.6639161846
1302293817883.80931256655054.1906874335
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18281240117633.224957193-36393.2249571927
183146886496.74433486428191.2556651358
184181633168302.32689629813330.673103702
185271856252720.43671376419135.5632862363
18671993754.383639751263444.61636024874
1874666041959.56836102034700.43163897966
188175472971.4948856875814575.5051143124
189133368124799.2546650138568.74533498734
1909522780791.144841264414435.8551587356
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195139942139908.91770019333.0822998074828
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1977288089427.1546868399-16547.1546868399
1986547572359.5945895429-6884.5945895429
19999643136412.226196004-36769.2261960039
2007196590371.4794997519-18406.4794997519
2017727273102.4318906674169.56810933293
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21212184889948.874286614231899.1257133858
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2148187271551.650563912710320.3494360873
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2165351563907.6798681453-10392.6798681453
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2208094949053.064932978431895.9350670216
2217630287829.1600764652-11527.1600764652
222104011112872.530966542-8861.53096654215
22398104149030.26127832-50926.2612783204
2246798961987.79563652566001.20436347437
2253098931707.8757734069-718.875773406853
226135458139354.038494232-3896.0384942318
2277350459146.899896766614357.1001032334
22863123100907.174997931-37784.1749979308
2296125481077.010529559-19823.0105295589
23074914107868.753714451-32954.7537144511
2313177441597.121030601-9823.12103060104
2328143780921.5863927339515.413607266148
23387186121097.157865311-33911.1578653109
2345009055064.5359372095-4974.53593720947
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2365665362931.6830300425-6278.68303004246
237158399103794.08070581854604.9192941817
2384645560964.3032242773-14509.3032242773
2397362485856.2788246736-12232.2788246736
2403839563148.8123741191-24753.8123741191
2419189983824.31178558078074.68821441927
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2435216464796.3804289288-12632.3804289288
2445156760868.6346137366-9301.63461373663
2457055173848.8884967107-3297.88849671068
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247102538121690.699092629-19152.6990926289
2488667863963.132911150322714.8670888497
2498570981490.56292078964218.43707921037
2503466252676.0726180333-18014.0726180333
251150580133702.5989517416877.4010482599
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253193497799.9678086682311549.0321913318
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2563083728161.4605325452675.53946745502
2573170640843.7048540806-9137.70485408062
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2604015131250.487403228900.51259677997
2612763441323.7587253087-13689.7587253087
2627699066916.501543226210073.4984567738
2633746021318.948579424816141.0514205752
2645415758558.8040332899-4401.80403328992
2654986262775.2649393418-12913.2649393418
2668433774200.948707685510136.0512923145
2676417583513.0311058352-19338.0311058352
2685938267758.7880816433-8376.78808164333
26911930869502.114424460249805.8855755398
2707670294519.1825526847-17817.1825526847
271103425113642.461052477-10217.4610524772
2727034463650.45931742546693.54068257455
2734341038727.08170845954682.91829154049
27410483895401.13349085359436.86650914652
2756221549648.56349535212566.436504648
2766930479406.797554154-10102.797554154
2775311738849.411393794314267.5886062057
2781976410381.06980717479382.93019282533
2798668086919.4655805661-239.465580566118
2808410569486.702625995714618.2973740043
2817794579753.0492675038-1808.04926750383
2828911372175.495461366516937.5045386334
2839100592550.7201173222-1545.72011732215
2844024827332.741458050612915.2585419494
2856418757393.08754421056793.9124557895
2865085753867.3691051968-3010.36910519676
2875661349551.43524758517061.56475241495
2886279273983.5072250778-11191.5072250778
2897253573651.7210891019-1116.72108910187






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.1723225595442890.3446451190885770.827677440455711
120.2223339932936030.4446679865872060.777666006706397
130.97070633114250.05858733771499790.0292936688574989
140.9590904837827250.08181903243455050.0409095162172752
150.9372407941144490.1255184117711020.0627592058855508
160.9073889547635070.1852220904729860.0926110452364931
170.8690377304134450.2619245391731110.130962269586555
180.8392762894222350.321447421155530.160723710577765
190.8493044341267370.3013911317465260.150695565873263
200.8640087261923480.2719825476153050.135991273807652
210.8201036021892470.3597927956215060.179896397810753
220.7718685663515920.4562628672968170.228131433648408
230.9569403223563340.08611935528733160.0430596776436658
240.9515645608976670.0968708782046650.0484354391023325
250.937279774062730.1254404518745380.0627202259372692
260.993173399596720.01365320080655920.00682660040327958
270.9938971262253690.0122057475492620.006102873774631
280.9919632779853820.01607344402923530.00803672201461766
290.9973190791241040.005361841751791660.00268092087589583
300.9958802557297840.008239488540432640.00411974427021632
310.9950263635814370.009947272837125250.00497363641856262
320.9938556522892290.01228869542154250.00614434771077125
330.9954584416564560.00908311668708820.0045415583435441
340.9978777010762260.004244597847548040.00212229892377402
350.9968778357520160.006244328495967220.00312216424798361
360.9956383697538620.008723260492275980.00436163024613799
370.9953221082830270.00935578343394510.00467789171697255
380.9942143672016760.01157126559664780.0057856327983239
390.9997878670564510.0004242658870983110.000212132943549156
400.9997052412706780.000589517458644030.000294758729322015
410.99956080134830.0008783973034015860.000439198651700793
420.9994628288370750.001074342325849850.000537171162924926
430.9996127289234220.0007745421531564610.00038727107657823
440.9994932445734540.001013510853091980.00050675542654599
450.9994226148277070.001154770344586510.000577385172293257
460.999280462050960.001439075898080030.000719537949040015
470.9992286216029170.001542756794166420.000771378397083211
480.9988864377099980.00222712458000340.0011135622900017
490.9984076957620770.003184608475846360.00159230423792318
500.9992133054809130.001573389038173690.000786694519086843
510.9994530070134020.001093985973195480.00054699298659774
520.9992093619201830.001581276159633530.000790638079816764
530.9990444913048230.001911017390354030.000955508695177013
540.9991550037565270.001689992486945670.000844996243472836
550.999779390179920.0004412196401590210.00022060982007951
560.9996809381929680.0006381236140644680.000319061807032234
570.999613544605140.0007729107897207640.000386455394860382
580.9998104671599940.0003790656800112740.000189532840005637
590.9997206687205430.0005586625589139520.000279331279456976
600.9996135998933580.0007728002132842330.000386400106642116
610.9994431735092950.001113652981409120.00055682649070456
620.999474608316910.001050783366177860.000525391683088928
630.9994375408153840.001124918369231840.000562459184615921
640.999254287051510.001491425896980260.000745712948490132
650.9997431284454740.0005137431090521050.000256871554526052
660.9996319238845930.0007361522308130450.000368076115406522
670.9995972408458050.0008055183083908730.000402759154195437
680.999451270259720.001097459480561320.00054872974028066
690.999444532029430.001110935941138790.000555467970569394
700.9995428756117250.0009142487765507440.000457124388275372
710.999369432803210.001261134393578970.000630567196789486
720.9994155904903680.001168819019263490.000584409509631743
730.999534256089110.0009314878217797370.000465743910889868
740.9996205554531580.000758889093684790.000379444546842395
750.9996508782842560.0006982434314880.000349121715744
760.999626710054240.0007465798915210680.000373289945760534
770.9996317988255680.0007364023488635480.000368201174431774
780.9995198900028340.0009602199943314420.000480109997165721
790.9994751109539050.001049778092190670.000524889046095336
800.999309366928130.001381266143741830.000690633071870914
810.9991043012857540.001791397428491120.000895698714245562
820.9991044282539170.001791143492165660.00089557174608283
830.9995388817614980.0009222364770042060.000461118238502103
840.9995119118018740.0009761763962526030.000488088198126302
850.9993763500874410.001247299825117860.000623649912558932
860.999248331717880.001503336564240630.000751668282120315
870.9989930783288060.002013843342387910.00100692167119395
880.9986945863307190.002610827338562820.00130541366928141
890.999829021644660.0003419567106778680.000170978355338934
900.999763278027440.0004734439451226310.000236721972561315
910.9997852556618640.0004294886762723190.000214744338136159
920.9997472706191840.0005054587616326590.000252729380816329
930.9997269345101260.0005461309797474130.000273065489873707
940.9996253559439320.0007492881121353740.000374644056067687
950.9996217125517570.0007565748964861340.000378287448243067
960.999533840409230.0009323191815375690.000466159590768784
970.999720962216680.0005580755666413610.000279037783320681
980.999999729416145.41167719912756e-072.70583859956378e-07
990.9999997363599385.27280123839412e-072.63640061919706e-07
1000.9999996529575286.94084943902486e-073.47042471951243e-07
1010.9999994774146171.04517076530117e-065.22585382650584e-07
1020.9999992118350611.5763298775467e-067.88164938773351e-07
1030.999999205320241.58935951949852e-067.94679759749258e-07
1040.999998780672262.43865548096948e-061.21932774048474e-06
1050.99999822217353.55565299786052e-061.77782649893026e-06
1060.9999973382706675.32345866672422e-062.66172933336211e-06
1070.9999967917061946.41658761269082e-063.20829380634541e-06
1080.9999953592227519.28155449726408e-064.64077724863204e-06
1090.9999938262547131.23474905736148e-056.17374528680741e-06
1100.9999916484000661.67031998678504e-058.35159993392521e-06
1110.9999877578783532.44842432948482e-051.22421216474241e-05
1120.9999838066803953.23866392095717e-051.61933196047858e-05
1130.9999841152732473.1769453505852e-051.5884726752926e-05
1140.9999769409429234.61181141547428e-052.30590570773714e-05
1150.9999906197339021.87605321959319e-059.38026609796597e-06
1160.9999892126350282.15747299430558e-051.07873649715279e-05
1170.9999842223745233.1555250953265e-051.57776254766325e-05
1180.999994517936211.096412758163e-055.482063790815e-06
1190.9999935243758861.29512482281767e-056.47562411408834e-06
1200.9999918412681521.63174636958677e-058.15873184793384e-06
1210.9999880249431242.39501137510471e-051.19750568755236e-05
1220.999991519082581.69618348385274e-058.48091741926368e-06
1230.9999940952412481.18095175032805e-055.90475875164025e-06
1240.9999978744443344.25111133169289e-062.12555566584645e-06
1250.999999743843495.12313021518769e-072.56156510759385e-07
1260.9999997117516865.76496627065031e-072.88248313532516e-07
1270.9999995922461368.15507728434076e-074.07753864217038e-07
1280.9999994307911791.13841764232447e-065.69208821162233e-07
1290.9999995362982219.27403558215355e-074.63701779107677e-07
1300.9999992887539021.42249219589965e-067.11246097949823e-07
1310.9999989210577272.15788454680262e-061.07894227340131e-06
1320.9999990318205361.93635892862552e-069.68179464312758e-07
1330.999998738713012.5225739805217e-061.26128699026085e-06
1340.999999598074488.03851039210785e-074.01925519605392e-07
1350.9999994364120161.1271759686293e-065.63587984314649e-07
1360.9999996383743777.23251245440592e-073.61625622720296e-07
1370.9999994445175951.11096480988089e-065.55482404940444e-07
1380.9999995729601948.54079611775043e-074.27039805887522e-07
1390.999999496480911.0070381780704e-065.03519089035202e-07
1400.999999320991591.3580168208058e-066.790084104029e-07
1410.9999991606947121.67861057517804e-068.39305287589019e-07
1420.9999988254291582.34914168393441e-061.17457084196721e-06
1430.9999982570074183.48598516314553e-061.74299258157277e-06
1440.9999973705614485.25887710459196e-062.62943855229598e-06
1450.9999963145733747.37085325178034e-063.68542662589017e-06
1460.999995297102189.40579563893745e-064.70289781946873e-06
1470.9999930712066051.38575867904257e-056.92879339521284e-06
1480.9999931980554071.36038891854448e-056.80194459272242e-06
1490.9999913360899191.73278201627937e-058.66391008139686e-06
1500.99998738966762.52206647993725e-051.26103323996863e-05
1510.9999891213756082.17572487848597e-051.08786243924298e-05
1520.9999845373053563.09253892879256e-051.54626946439628e-05
1530.9999777411372264.45177255470177e-052.22588627735088e-05
1540.9999703802537945.92394924115462e-052.96197462057731e-05
1550.9999675147404636.4970519074559e-053.24852595372795e-05
1560.999973747626695.25047466217992e-052.62523733108996e-05
1570.9999770381351974.59237296058351e-052.29618648029175e-05
1580.9999681750790586.36498418839378e-053.18249209419689e-05
1590.9999600704959257.98590081495198e-053.99295040747599e-05
1600.9999492856484930.000101428703014685.07143515073399e-05
1610.999940541927590.0001189161448186225.94580724093112e-05
1620.999923493334360.0001530133312826497.65066656413246e-05
1630.999905656474590.0001886870508214289.4343525410714e-05
1640.9998723648628880.000255270274224340.00012763513711217
1650.9998832278286810.0002335443426373830.000116772171318691
1660.99994623594380.0001075281123989665.37640561994828e-05
1670.999927412106380.0001451757872388477.25878936194234e-05
1680.9998963807557060.0002072384885873270.000103619244293664
1690.9998954353943990.0002091292112027510.000104564605601376
1700.9999995001716629.99656675259617e-074.99828337629809e-07
1710.999999223468351.55306329962993e-067.76531649814964e-07
1720.999998860752092.27849582146435e-061.13924791073218e-06
1730.9999988538757122.29224857636559e-061.1461242881828e-06
1740.9999992075550021.58488999630315e-067.92444998151576e-07
1750.999999953570469.28590809498161e-084.6429540474908e-08
1760.9999999315214031.36957194936439e-076.84785974682197e-08
1770.9999999403308321.1933833531214e-075.96691676560702e-08
1780.9999999144107721.71178456623096e-078.55892283115478e-08
1790.999999860128522.79742960637528e-071.39871480318764e-07
1800.9999999516185299.6762942182952e-084.8381471091476e-08
1810.9999999499522761.0009544779074e-075.00477238953699e-08
1820.9999999919628211.60743574460291e-088.03717872301457e-09
1830.9999999865071432.69857143132566e-081.34928571566283e-08
1840.9999999897129342.0574132609095e-081.02870663045475e-08
1850.9999999960264187.94716410031206e-093.97358205015603e-09
1860.9999999932259961.35480085989951e-086.77400429949756e-09
1870.9999999881525532.36948934316345e-081.18474467158172e-08
1880.9999999809245973.81508062223342e-081.90754031111671e-08
1890.9999999791211874.17576261391479e-082.08788130695739e-08
1900.9999999684443346.31113322040567e-083.15556661020283e-08
1910.9999999843230423.135391644539e-081.5676958222695e-08
1920.9999999725968655.48062707059643e-082.74031353529821e-08
1930.9999999647135357.05729302972813e-083.52864651486407e-08
1940.999999942292691.15414620860366e-075.77073104301832e-08
1950.9999999171619331.65676134913332e-078.28380674566662e-08
1960.9999998848192252.30361549930229e-071.15180774965114e-07
1970.9999998346636313.30672738322446e-071.65336369161223e-07
1980.9999997424305635.15138874767236e-072.57569437383618e-07
1990.999999775892974.48214060233784e-072.24107030116892e-07
2000.9999996482233077.03553386339686e-073.51776693169843e-07
2010.9999994296483031.14070339411142e-065.7035169705571e-07
2020.9999992758274691.44834506305145e-067.24172531525723e-07
2030.9999989949223222.0101553552846e-061.0050776776423e-06
2040.9999983535517243.29289655260154e-061.64644827630077e-06
2050.999998597934152.80413170296018e-061.40206585148009e-06
2060.999997813305094.37338982042204e-062.18669491021102e-06
2070.9999964534361647.09312767249892e-063.54656383624946e-06
2080.9999997214561525.57087696882594e-072.78543848441297e-07
2090.999999889016342.21967318474328e-071.10983659237164e-07
2100.999999855895052.8820990195705e-071.44104950978525e-07
2110.9999997863013114.27397377198856e-072.13698688599428e-07
2120.9999999300776751.39844649638537e-076.99223248192685e-08
2130.9999998739879162.5202416702374e-071.2601208351187e-07
2140.9999997764028354.47194329866824e-072.23597164933412e-07
2150.9999998901544652.19691069911515e-071.09845534955758e-07
2160.9999998273043843.45391232279042e-071.72695616139521e-07
2170.9999999101105681.79778864207588e-078.98894321037938e-08
2180.9999998443730173.11253965264678e-071.55626982632339e-07
2190.9999997226353395.54729322148225e-072.77364661074112e-07
2200.9999998114668733.77066254025392e-071.88533127012696e-07
2210.9999996695056986.60988603875488e-073.30494301937744e-07
2220.9999994358282981.12834340336401e-065.64171701682006e-07
2230.9999997782758784.43448243175382e-072.21724121587691e-07
2240.9999996310302827.37939435906492e-073.68969717953246e-07
2250.9999993446611881.31067762450907e-066.55338812254534e-07
2260.9999988561880352.28762393002601e-061.14381196501301e-06
2270.9999983373740093.32525198270661e-061.66262599135331e-06
2280.9999982206562683.55868746481454e-061.77934373240727e-06
2290.9999970471020065.90579598883745e-062.95289799441872e-06
2300.9999991823451031.63530979436003e-068.17654897180015e-07
2310.9999990004740721.99905185590605e-069.99525927953023e-07
2320.9999981378867363.72422652884643e-061.86211326442321e-06
2330.9999994045772241.19084555264368e-065.95422776321839e-07
2340.9999988708400182.25831996384537e-061.12915998192268e-06
2350.9999992178214731.56435705486353e-067.82178527431766e-07
2360.9999987727081722.45458365541841e-061.22729182770921e-06
2370.9999999816364913.67270174246417e-081.83635087123209e-08
2380.99999996810296.37941989975842e-083.18970994987921e-08
2390.999999938082741.23834521599197e-076.19172607995985e-08
2400.9999999593453828.13092362568081e-084.06546181284041e-08
2410.9999999206504311.5869913755825e-077.93495687791249e-08
2420.9999998317516393.3649672296908e-071.6824836148454e-07
2430.999999862094872.75810261769882e-071.37905130884941e-07
2440.9999998172231933.6555361349102e-071.8277680674551e-07
2450.9999996043831827.91233635517457e-073.95616817758729e-07
2460.999999294310881.41137823912989e-067.05689119564945e-07
2470.9999994058353081.18832938360191e-065.94164691800954e-07
2480.9999991687722871.66245542620987e-068.31227713104937e-07
2490.9999981736407223.65271855509267e-061.82635927754634e-06
2500.9999988812089372.23758212610644e-061.11879106305322e-06
2510.999999063083441.87383311897086e-069.3691655948543e-07
2520.9999979589199464.08216010785743e-062.04108005392872e-06
2530.9999954458420789.108315844952e-064.554157922476e-06
2540.9999899119734242.01760531528599e-051.008802657643e-05
2550.9999794728405024.10543189965893e-052.05271594982946e-05
2560.9999592338168318.15323663378567e-054.07661831689284e-05
2570.99994524512240.0001095097551989195.47548775994596e-05
2580.9998951430079280.0002097139841449140.000104856992072457
2590.9998721905527760.0002556188944488770.000127809447224439
2600.9997349584547770.0005300830904459730.000265041545222987
2610.9996387813984520.000722437203095760.00036121860154788
2620.9992761773561880.001447645287624820.00072382264381241
2630.9988543932744060.002291213451188780.00114560672559439
2640.9979926633367270.00401467332654590.00200733666327295
2650.9977044155574170.004591168885165310.00229558444258265
2660.9955537369520980.008892526095804540.00444626304790227
2670.9961513213150930.00769735736981420.0038486786849071
2680.992917381548290.01416523690342060.00708261845171028
2690.9999910893141391.78213717227397e-058.91068586136987e-06
2700.999971378386815.72432263784304e-052.86216131892152e-05
2710.9999450640336850.0001098719326300345.49359663150171e-05
2720.9998025679732940.0003948640534112680.000197432026705634
2730.9996629515386120.0006740969227762470.000337048461388123
2740.9991360880683310.00172782386333820.000863911931669098
2750.9983830242892920.00323395142141530.00161697571070765
2760.9943609072648810.01127818547023780.00563909273511888
2770.9796299465171520.04074010696569680.0203700534828484
2780.9330981199668270.1338037600663460.0669018800331728

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.172322559544289 & 0.344645119088577 & 0.827677440455711 \tabularnewline
12 & 0.222333993293603 & 0.444667986587206 & 0.777666006706397 \tabularnewline
13 & 0.9707063311425 & 0.0585873377149979 & 0.0292936688574989 \tabularnewline
14 & 0.959090483782725 & 0.0818190324345505 & 0.0409095162172752 \tabularnewline
15 & 0.937240794114449 & 0.125518411771102 & 0.0627592058855508 \tabularnewline
16 & 0.907388954763507 & 0.185222090472986 & 0.0926110452364931 \tabularnewline
17 & 0.869037730413445 & 0.261924539173111 & 0.130962269586555 \tabularnewline
18 & 0.839276289422235 & 0.32144742115553 & 0.160723710577765 \tabularnewline
19 & 0.849304434126737 & 0.301391131746526 & 0.150695565873263 \tabularnewline
20 & 0.864008726192348 & 0.271982547615305 & 0.135991273807652 \tabularnewline
21 & 0.820103602189247 & 0.359792795621506 & 0.179896397810753 \tabularnewline
22 & 0.771868566351592 & 0.456262867296817 & 0.228131433648408 \tabularnewline
23 & 0.956940322356334 & 0.0861193552873316 & 0.0430596776436658 \tabularnewline
24 & 0.951564560897667 & 0.096870878204665 & 0.0484354391023325 \tabularnewline
25 & 0.93727977406273 & 0.125440451874538 & 0.0627202259372692 \tabularnewline
26 & 0.99317339959672 & 0.0136532008065592 & 0.00682660040327958 \tabularnewline
27 & 0.993897126225369 & 0.012205747549262 & 0.006102873774631 \tabularnewline
28 & 0.991963277985382 & 0.0160734440292353 & 0.00803672201461766 \tabularnewline
29 & 0.997319079124104 & 0.00536184175179166 & 0.00268092087589583 \tabularnewline
30 & 0.995880255729784 & 0.00823948854043264 & 0.00411974427021632 \tabularnewline
31 & 0.995026363581437 & 0.00994727283712525 & 0.00497363641856262 \tabularnewline
32 & 0.993855652289229 & 0.0122886954215425 & 0.00614434771077125 \tabularnewline
33 & 0.995458441656456 & 0.0090831166870882 & 0.0045415583435441 \tabularnewline
34 & 0.997877701076226 & 0.00424459784754804 & 0.00212229892377402 \tabularnewline
35 & 0.996877835752016 & 0.00624432849596722 & 0.00312216424798361 \tabularnewline
36 & 0.995638369753862 & 0.00872326049227598 & 0.00436163024613799 \tabularnewline
37 & 0.995322108283027 & 0.0093557834339451 & 0.00467789171697255 \tabularnewline
38 & 0.994214367201676 & 0.0115712655966478 & 0.0057856327983239 \tabularnewline
39 & 0.999787867056451 & 0.000424265887098311 & 0.000212132943549156 \tabularnewline
40 & 0.999705241270678 & 0.00058951745864403 & 0.000294758729322015 \tabularnewline
41 & 0.9995608013483 & 0.000878397303401586 & 0.000439198651700793 \tabularnewline
42 & 0.999462828837075 & 0.00107434232584985 & 0.000537171162924926 \tabularnewline
43 & 0.999612728923422 & 0.000774542153156461 & 0.00038727107657823 \tabularnewline
44 & 0.999493244573454 & 0.00101351085309198 & 0.00050675542654599 \tabularnewline
45 & 0.999422614827707 & 0.00115477034458651 & 0.000577385172293257 \tabularnewline
46 & 0.99928046205096 & 0.00143907589808003 & 0.000719537949040015 \tabularnewline
47 & 0.999228621602917 & 0.00154275679416642 & 0.000771378397083211 \tabularnewline
48 & 0.998886437709998 & 0.0022271245800034 & 0.0011135622900017 \tabularnewline
49 & 0.998407695762077 & 0.00318460847584636 & 0.00159230423792318 \tabularnewline
50 & 0.999213305480913 & 0.00157338903817369 & 0.000786694519086843 \tabularnewline
51 & 0.999453007013402 & 0.00109398597319548 & 0.00054699298659774 \tabularnewline
52 & 0.999209361920183 & 0.00158127615963353 & 0.000790638079816764 \tabularnewline
53 & 0.999044491304823 & 0.00191101739035403 & 0.000955508695177013 \tabularnewline
54 & 0.999155003756527 & 0.00168999248694567 & 0.000844996243472836 \tabularnewline
55 & 0.99977939017992 & 0.000441219640159021 & 0.00022060982007951 \tabularnewline
56 & 0.999680938192968 & 0.000638123614064468 & 0.000319061807032234 \tabularnewline
57 & 0.99961354460514 & 0.000772910789720764 & 0.000386455394860382 \tabularnewline
58 & 0.999810467159994 & 0.000379065680011274 & 0.000189532840005637 \tabularnewline
59 & 0.999720668720543 & 0.000558662558913952 & 0.000279331279456976 \tabularnewline
60 & 0.999613599893358 & 0.000772800213284233 & 0.000386400106642116 \tabularnewline
61 & 0.999443173509295 & 0.00111365298140912 & 0.00055682649070456 \tabularnewline
62 & 0.99947460831691 & 0.00105078336617786 & 0.000525391683088928 \tabularnewline
63 & 0.999437540815384 & 0.00112491836923184 & 0.000562459184615921 \tabularnewline
64 & 0.99925428705151 & 0.00149142589698026 & 0.000745712948490132 \tabularnewline
65 & 0.999743128445474 & 0.000513743109052105 & 0.000256871554526052 \tabularnewline
66 & 0.999631923884593 & 0.000736152230813045 & 0.000368076115406522 \tabularnewline
67 & 0.999597240845805 & 0.000805518308390873 & 0.000402759154195437 \tabularnewline
68 & 0.99945127025972 & 0.00109745948056132 & 0.00054872974028066 \tabularnewline
69 & 0.99944453202943 & 0.00111093594113879 & 0.000555467970569394 \tabularnewline
70 & 0.999542875611725 & 0.000914248776550744 & 0.000457124388275372 \tabularnewline
71 & 0.99936943280321 & 0.00126113439357897 & 0.000630567196789486 \tabularnewline
72 & 0.999415590490368 & 0.00116881901926349 & 0.000584409509631743 \tabularnewline
73 & 0.99953425608911 & 0.000931487821779737 & 0.000465743910889868 \tabularnewline
74 & 0.999620555453158 & 0.00075888909368479 & 0.000379444546842395 \tabularnewline
75 & 0.999650878284256 & 0.000698243431488 & 0.000349121715744 \tabularnewline
76 & 0.99962671005424 & 0.000746579891521068 & 0.000373289945760534 \tabularnewline
77 & 0.999631798825568 & 0.000736402348863548 & 0.000368201174431774 \tabularnewline
78 & 0.999519890002834 & 0.000960219994331442 & 0.000480109997165721 \tabularnewline
79 & 0.999475110953905 & 0.00104977809219067 & 0.000524889046095336 \tabularnewline
80 & 0.99930936692813 & 0.00138126614374183 & 0.000690633071870914 \tabularnewline
81 & 0.999104301285754 & 0.00179139742849112 & 0.000895698714245562 \tabularnewline
82 & 0.999104428253917 & 0.00179114349216566 & 0.00089557174608283 \tabularnewline
83 & 0.999538881761498 & 0.000922236477004206 & 0.000461118238502103 \tabularnewline
84 & 0.999511911801874 & 0.000976176396252603 & 0.000488088198126302 \tabularnewline
85 & 0.999376350087441 & 0.00124729982511786 & 0.000623649912558932 \tabularnewline
86 & 0.99924833171788 & 0.00150333656424063 & 0.000751668282120315 \tabularnewline
87 & 0.998993078328806 & 0.00201384334238791 & 0.00100692167119395 \tabularnewline
88 & 0.998694586330719 & 0.00261082733856282 & 0.00130541366928141 \tabularnewline
89 & 0.99982902164466 & 0.000341956710677868 & 0.000170978355338934 \tabularnewline
90 & 0.99976327802744 & 0.000473443945122631 & 0.000236721972561315 \tabularnewline
91 & 0.999785255661864 & 0.000429488676272319 & 0.000214744338136159 \tabularnewline
92 & 0.999747270619184 & 0.000505458761632659 & 0.000252729380816329 \tabularnewline
93 & 0.999726934510126 & 0.000546130979747413 & 0.000273065489873707 \tabularnewline
94 & 0.999625355943932 & 0.000749288112135374 & 0.000374644056067687 \tabularnewline
95 & 0.999621712551757 & 0.000756574896486134 & 0.000378287448243067 \tabularnewline
96 & 0.99953384040923 & 0.000932319181537569 & 0.000466159590768784 \tabularnewline
97 & 0.99972096221668 & 0.000558075566641361 & 0.000279037783320681 \tabularnewline
98 & 0.99999972941614 & 5.41167719912756e-07 & 2.70583859956378e-07 \tabularnewline
99 & 0.999999736359938 & 5.27280123839412e-07 & 2.63640061919706e-07 \tabularnewline
100 & 0.999999652957528 & 6.94084943902486e-07 & 3.47042471951243e-07 \tabularnewline
101 & 0.999999477414617 & 1.04517076530117e-06 & 5.22585382650584e-07 \tabularnewline
102 & 0.999999211835061 & 1.5763298775467e-06 & 7.88164938773351e-07 \tabularnewline
103 & 0.99999920532024 & 1.58935951949852e-06 & 7.94679759749258e-07 \tabularnewline
104 & 0.99999878067226 & 2.43865548096948e-06 & 1.21932774048474e-06 \tabularnewline
105 & 0.9999982221735 & 3.55565299786052e-06 & 1.77782649893026e-06 \tabularnewline
106 & 0.999997338270667 & 5.32345866672422e-06 & 2.66172933336211e-06 \tabularnewline
107 & 0.999996791706194 & 6.41658761269082e-06 & 3.20829380634541e-06 \tabularnewline
108 & 0.999995359222751 & 9.28155449726408e-06 & 4.64077724863204e-06 \tabularnewline
109 & 0.999993826254713 & 1.23474905736148e-05 & 6.17374528680741e-06 \tabularnewline
110 & 0.999991648400066 & 1.67031998678504e-05 & 8.35159993392521e-06 \tabularnewline
111 & 0.999987757878353 & 2.44842432948482e-05 & 1.22421216474241e-05 \tabularnewline
112 & 0.999983806680395 & 3.23866392095717e-05 & 1.61933196047858e-05 \tabularnewline
113 & 0.999984115273247 & 3.1769453505852e-05 & 1.5884726752926e-05 \tabularnewline
114 & 0.999976940942923 & 4.61181141547428e-05 & 2.30590570773714e-05 \tabularnewline
115 & 0.999990619733902 & 1.87605321959319e-05 & 9.38026609796597e-06 \tabularnewline
116 & 0.999989212635028 & 2.15747299430558e-05 & 1.07873649715279e-05 \tabularnewline
117 & 0.999984222374523 & 3.1555250953265e-05 & 1.57776254766325e-05 \tabularnewline
118 & 0.99999451793621 & 1.096412758163e-05 & 5.482063790815e-06 \tabularnewline
119 & 0.999993524375886 & 1.29512482281767e-05 & 6.47562411408834e-06 \tabularnewline
120 & 0.999991841268152 & 1.63174636958677e-05 & 8.15873184793384e-06 \tabularnewline
121 & 0.999988024943124 & 2.39501137510471e-05 & 1.19750568755236e-05 \tabularnewline
122 & 0.99999151908258 & 1.69618348385274e-05 & 8.48091741926368e-06 \tabularnewline
123 & 0.999994095241248 & 1.18095175032805e-05 & 5.90475875164025e-06 \tabularnewline
124 & 0.999997874444334 & 4.25111133169289e-06 & 2.12555566584645e-06 \tabularnewline
125 & 0.99999974384349 & 5.12313021518769e-07 & 2.56156510759385e-07 \tabularnewline
126 & 0.999999711751686 & 5.76496627065031e-07 & 2.88248313532516e-07 \tabularnewline
127 & 0.999999592246136 & 8.15507728434076e-07 & 4.07753864217038e-07 \tabularnewline
128 & 0.999999430791179 & 1.13841764232447e-06 & 5.69208821162233e-07 \tabularnewline
129 & 0.999999536298221 & 9.27403558215355e-07 & 4.63701779107677e-07 \tabularnewline
130 & 0.999999288753902 & 1.42249219589965e-06 & 7.11246097949823e-07 \tabularnewline
131 & 0.999998921057727 & 2.15788454680262e-06 & 1.07894227340131e-06 \tabularnewline
132 & 0.999999031820536 & 1.93635892862552e-06 & 9.68179464312758e-07 \tabularnewline
133 & 0.99999873871301 & 2.5225739805217e-06 & 1.26128699026085e-06 \tabularnewline
134 & 0.99999959807448 & 8.03851039210785e-07 & 4.01925519605392e-07 \tabularnewline
135 & 0.999999436412016 & 1.1271759686293e-06 & 5.63587984314649e-07 \tabularnewline
136 & 0.999999638374377 & 7.23251245440592e-07 & 3.61625622720296e-07 \tabularnewline
137 & 0.999999444517595 & 1.11096480988089e-06 & 5.55482404940444e-07 \tabularnewline
138 & 0.999999572960194 & 8.54079611775043e-07 & 4.27039805887522e-07 \tabularnewline
139 & 0.99999949648091 & 1.0070381780704e-06 & 5.03519089035202e-07 \tabularnewline
140 & 0.99999932099159 & 1.3580168208058e-06 & 6.790084104029e-07 \tabularnewline
141 & 0.999999160694712 & 1.67861057517804e-06 & 8.39305287589019e-07 \tabularnewline
142 & 0.999998825429158 & 2.34914168393441e-06 & 1.17457084196721e-06 \tabularnewline
143 & 0.999998257007418 & 3.48598516314553e-06 & 1.74299258157277e-06 \tabularnewline
144 & 0.999997370561448 & 5.25887710459196e-06 & 2.62943855229598e-06 \tabularnewline
145 & 0.999996314573374 & 7.37085325178034e-06 & 3.68542662589017e-06 \tabularnewline
146 & 0.99999529710218 & 9.40579563893745e-06 & 4.70289781946873e-06 \tabularnewline
147 & 0.999993071206605 & 1.38575867904257e-05 & 6.92879339521284e-06 \tabularnewline
148 & 0.999993198055407 & 1.36038891854448e-05 & 6.80194459272242e-06 \tabularnewline
149 & 0.999991336089919 & 1.73278201627937e-05 & 8.66391008139686e-06 \tabularnewline
150 & 0.9999873896676 & 2.52206647993725e-05 & 1.26103323996863e-05 \tabularnewline
151 & 0.999989121375608 & 2.17572487848597e-05 & 1.08786243924298e-05 \tabularnewline
152 & 0.999984537305356 & 3.09253892879256e-05 & 1.54626946439628e-05 \tabularnewline
153 & 0.999977741137226 & 4.45177255470177e-05 & 2.22588627735088e-05 \tabularnewline
154 & 0.999970380253794 & 5.92394924115462e-05 & 2.96197462057731e-05 \tabularnewline
155 & 0.999967514740463 & 6.4970519074559e-05 & 3.24852595372795e-05 \tabularnewline
156 & 0.99997374762669 & 5.25047466217992e-05 & 2.62523733108996e-05 \tabularnewline
157 & 0.999977038135197 & 4.59237296058351e-05 & 2.29618648029175e-05 \tabularnewline
158 & 0.999968175079058 & 6.36498418839378e-05 & 3.18249209419689e-05 \tabularnewline
159 & 0.999960070495925 & 7.98590081495198e-05 & 3.99295040747599e-05 \tabularnewline
160 & 0.999949285648493 & 0.00010142870301468 & 5.07143515073399e-05 \tabularnewline
161 & 0.99994054192759 & 0.000118916144818622 & 5.94580724093112e-05 \tabularnewline
162 & 0.99992349333436 & 0.000153013331282649 & 7.65066656413246e-05 \tabularnewline
163 & 0.99990565647459 & 0.000188687050821428 & 9.4343525410714e-05 \tabularnewline
164 & 0.999872364862888 & 0.00025527027422434 & 0.00012763513711217 \tabularnewline
165 & 0.999883227828681 & 0.000233544342637383 & 0.000116772171318691 \tabularnewline
166 & 0.9999462359438 & 0.000107528112398966 & 5.37640561994828e-05 \tabularnewline
167 & 0.99992741210638 & 0.000145175787238847 & 7.25878936194234e-05 \tabularnewline
168 & 0.999896380755706 & 0.000207238488587327 & 0.000103619244293664 \tabularnewline
169 & 0.999895435394399 & 0.000209129211202751 & 0.000104564605601376 \tabularnewline
170 & 0.999999500171662 & 9.99656675259617e-07 & 4.99828337629809e-07 \tabularnewline
171 & 0.99999922346835 & 1.55306329962993e-06 & 7.76531649814964e-07 \tabularnewline
172 & 0.99999886075209 & 2.27849582146435e-06 & 1.13924791073218e-06 \tabularnewline
173 & 0.999998853875712 & 2.29224857636559e-06 & 1.1461242881828e-06 \tabularnewline
174 & 0.999999207555002 & 1.58488999630315e-06 & 7.92444998151576e-07 \tabularnewline
175 & 0.99999995357046 & 9.28590809498161e-08 & 4.6429540474908e-08 \tabularnewline
176 & 0.999999931521403 & 1.36957194936439e-07 & 6.84785974682197e-08 \tabularnewline
177 & 0.999999940330832 & 1.1933833531214e-07 & 5.96691676560702e-08 \tabularnewline
178 & 0.999999914410772 & 1.71178456623096e-07 & 8.55892283115478e-08 \tabularnewline
179 & 0.99999986012852 & 2.79742960637528e-07 & 1.39871480318764e-07 \tabularnewline
180 & 0.999999951618529 & 9.6762942182952e-08 & 4.8381471091476e-08 \tabularnewline
181 & 0.999999949952276 & 1.0009544779074e-07 & 5.00477238953699e-08 \tabularnewline
182 & 0.999999991962821 & 1.60743574460291e-08 & 8.03717872301457e-09 \tabularnewline
183 & 0.999999986507143 & 2.69857143132566e-08 & 1.34928571566283e-08 \tabularnewline
184 & 0.999999989712934 & 2.0574132609095e-08 & 1.02870663045475e-08 \tabularnewline
185 & 0.999999996026418 & 7.94716410031206e-09 & 3.97358205015603e-09 \tabularnewline
186 & 0.999999993225996 & 1.35480085989951e-08 & 6.77400429949756e-09 \tabularnewline
187 & 0.999999988152553 & 2.36948934316345e-08 & 1.18474467158172e-08 \tabularnewline
188 & 0.999999980924597 & 3.81508062223342e-08 & 1.90754031111671e-08 \tabularnewline
189 & 0.999999979121187 & 4.17576261391479e-08 & 2.08788130695739e-08 \tabularnewline
190 & 0.999999968444334 & 6.31113322040567e-08 & 3.15556661020283e-08 \tabularnewline
191 & 0.999999984323042 & 3.135391644539e-08 & 1.5676958222695e-08 \tabularnewline
192 & 0.999999972596865 & 5.48062707059643e-08 & 2.74031353529821e-08 \tabularnewline
193 & 0.999999964713535 & 7.05729302972813e-08 & 3.52864651486407e-08 \tabularnewline
194 & 0.99999994229269 & 1.15414620860366e-07 & 5.77073104301832e-08 \tabularnewline
195 & 0.999999917161933 & 1.65676134913332e-07 & 8.28380674566662e-08 \tabularnewline
196 & 0.999999884819225 & 2.30361549930229e-07 & 1.15180774965114e-07 \tabularnewline
197 & 0.999999834663631 & 3.30672738322446e-07 & 1.65336369161223e-07 \tabularnewline
198 & 0.999999742430563 & 5.15138874767236e-07 & 2.57569437383618e-07 \tabularnewline
199 & 0.99999977589297 & 4.48214060233784e-07 & 2.24107030116892e-07 \tabularnewline
200 & 0.999999648223307 & 7.03553386339686e-07 & 3.51776693169843e-07 \tabularnewline
201 & 0.999999429648303 & 1.14070339411142e-06 & 5.7035169705571e-07 \tabularnewline
202 & 0.999999275827469 & 1.44834506305145e-06 & 7.24172531525723e-07 \tabularnewline
203 & 0.999998994922322 & 2.0101553552846e-06 & 1.0050776776423e-06 \tabularnewline
204 & 0.999998353551724 & 3.29289655260154e-06 & 1.64644827630077e-06 \tabularnewline
205 & 0.99999859793415 & 2.80413170296018e-06 & 1.40206585148009e-06 \tabularnewline
206 & 0.99999781330509 & 4.37338982042204e-06 & 2.18669491021102e-06 \tabularnewline
207 & 0.999996453436164 & 7.09312767249892e-06 & 3.54656383624946e-06 \tabularnewline
208 & 0.999999721456152 & 5.57087696882594e-07 & 2.78543848441297e-07 \tabularnewline
209 & 0.99999988901634 & 2.21967318474328e-07 & 1.10983659237164e-07 \tabularnewline
210 & 0.99999985589505 & 2.8820990195705e-07 & 1.44104950978525e-07 \tabularnewline
211 & 0.999999786301311 & 4.27397377198856e-07 & 2.13698688599428e-07 \tabularnewline
212 & 0.999999930077675 & 1.39844649638537e-07 & 6.99223248192685e-08 \tabularnewline
213 & 0.999999873987916 & 2.5202416702374e-07 & 1.2601208351187e-07 \tabularnewline
214 & 0.999999776402835 & 4.47194329866824e-07 & 2.23597164933412e-07 \tabularnewline
215 & 0.999999890154465 & 2.19691069911515e-07 & 1.09845534955758e-07 \tabularnewline
216 & 0.999999827304384 & 3.45391232279042e-07 & 1.72695616139521e-07 \tabularnewline
217 & 0.999999910110568 & 1.79778864207588e-07 & 8.98894321037938e-08 \tabularnewline
218 & 0.999999844373017 & 3.11253965264678e-07 & 1.55626982632339e-07 \tabularnewline
219 & 0.999999722635339 & 5.54729322148225e-07 & 2.77364661074112e-07 \tabularnewline
220 & 0.999999811466873 & 3.77066254025392e-07 & 1.88533127012696e-07 \tabularnewline
221 & 0.999999669505698 & 6.60988603875488e-07 & 3.30494301937744e-07 \tabularnewline
222 & 0.999999435828298 & 1.12834340336401e-06 & 5.64171701682006e-07 \tabularnewline
223 & 0.999999778275878 & 4.43448243175382e-07 & 2.21724121587691e-07 \tabularnewline
224 & 0.999999631030282 & 7.37939435906492e-07 & 3.68969717953246e-07 \tabularnewline
225 & 0.999999344661188 & 1.31067762450907e-06 & 6.55338812254534e-07 \tabularnewline
226 & 0.999998856188035 & 2.28762393002601e-06 & 1.14381196501301e-06 \tabularnewline
227 & 0.999998337374009 & 3.32525198270661e-06 & 1.66262599135331e-06 \tabularnewline
228 & 0.999998220656268 & 3.55868746481454e-06 & 1.77934373240727e-06 \tabularnewline
229 & 0.999997047102006 & 5.90579598883745e-06 & 2.95289799441872e-06 \tabularnewline
230 & 0.999999182345103 & 1.63530979436003e-06 & 8.17654897180015e-07 \tabularnewline
231 & 0.999999000474072 & 1.99905185590605e-06 & 9.99525927953023e-07 \tabularnewline
232 & 0.999998137886736 & 3.72422652884643e-06 & 1.86211326442321e-06 \tabularnewline
233 & 0.999999404577224 & 1.19084555264368e-06 & 5.95422776321839e-07 \tabularnewline
234 & 0.999998870840018 & 2.25831996384537e-06 & 1.12915998192268e-06 \tabularnewline
235 & 0.999999217821473 & 1.56435705486353e-06 & 7.82178527431766e-07 \tabularnewline
236 & 0.999998772708172 & 2.45458365541841e-06 & 1.22729182770921e-06 \tabularnewline
237 & 0.999999981636491 & 3.67270174246417e-08 & 1.83635087123209e-08 \tabularnewline
238 & 0.9999999681029 & 6.37941989975842e-08 & 3.18970994987921e-08 \tabularnewline
239 & 0.99999993808274 & 1.23834521599197e-07 & 6.19172607995985e-08 \tabularnewline
240 & 0.999999959345382 & 8.13092362568081e-08 & 4.06546181284041e-08 \tabularnewline
241 & 0.999999920650431 & 1.5869913755825e-07 & 7.93495687791249e-08 \tabularnewline
242 & 0.999999831751639 & 3.3649672296908e-07 & 1.6824836148454e-07 \tabularnewline
243 & 0.99999986209487 & 2.75810261769882e-07 & 1.37905130884941e-07 \tabularnewline
244 & 0.999999817223193 & 3.6555361349102e-07 & 1.8277680674551e-07 \tabularnewline
245 & 0.999999604383182 & 7.91233635517457e-07 & 3.95616817758729e-07 \tabularnewline
246 & 0.99999929431088 & 1.41137823912989e-06 & 7.05689119564945e-07 \tabularnewline
247 & 0.999999405835308 & 1.18832938360191e-06 & 5.94164691800954e-07 \tabularnewline
248 & 0.999999168772287 & 1.66245542620987e-06 & 8.31227713104937e-07 \tabularnewline
249 & 0.999998173640722 & 3.65271855509267e-06 & 1.82635927754634e-06 \tabularnewline
250 & 0.999998881208937 & 2.23758212610644e-06 & 1.11879106305322e-06 \tabularnewline
251 & 0.99999906308344 & 1.87383311897086e-06 & 9.3691655948543e-07 \tabularnewline
252 & 0.999997958919946 & 4.08216010785743e-06 & 2.04108005392872e-06 \tabularnewline
253 & 0.999995445842078 & 9.108315844952e-06 & 4.554157922476e-06 \tabularnewline
254 & 0.999989911973424 & 2.01760531528599e-05 & 1.008802657643e-05 \tabularnewline
255 & 0.999979472840502 & 4.10543189965893e-05 & 2.05271594982946e-05 \tabularnewline
256 & 0.999959233816831 & 8.15323663378567e-05 & 4.07661831689284e-05 \tabularnewline
257 & 0.9999452451224 & 0.000109509755198919 & 5.47548775994596e-05 \tabularnewline
258 & 0.999895143007928 & 0.000209713984144914 & 0.000104856992072457 \tabularnewline
259 & 0.999872190552776 & 0.000255618894448877 & 0.000127809447224439 \tabularnewline
260 & 0.999734958454777 & 0.000530083090445973 & 0.000265041545222987 \tabularnewline
261 & 0.999638781398452 & 0.00072243720309576 & 0.00036121860154788 \tabularnewline
262 & 0.999276177356188 & 0.00144764528762482 & 0.00072382264381241 \tabularnewline
263 & 0.998854393274406 & 0.00229121345118878 & 0.00114560672559439 \tabularnewline
264 & 0.997992663336727 & 0.0040146733265459 & 0.00200733666327295 \tabularnewline
265 & 0.997704415557417 & 0.00459116888516531 & 0.00229558444258265 \tabularnewline
266 & 0.995553736952098 & 0.00889252609580454 & 0.00444626304790227 \tabularnewline
267 & 0.996151321315093 & 0.0076973573698142 & 0.0038486786849071 \tabularnewline
268 & 0.99291738154829 & 0.0141652369034206 & 0.00708261845171028 \tabularnewline
269 & 0.999991089314139 & 1.78213717227397e-05 & 8.91068586136987e-06 \tabularnewline
270 & 0.99997137838681 & 5.72432263784304e-05 & 2.86216131892152e-05 \tabularnewline
271 & 0.999945064033685 & 0.000109871932630034 & 5.49359663150171e-05 \tabularnewline
272 & 0.999802567973294 & 0.000394864053411268 & 0.000197432026705634 \tabularnewline
273 & 0.999662951538612 & 0.000674096922776247 & 0.000337048461388123 \tabularnewline
274 & 0.999136088068331 & 0.0017278238633382 & 0.000863911931669098 \tabularnewline
275 & 0.998383024289292 & 0.0032339514214153 & 0.00161697571070765 \tabularnewline
276 & 0.994360907264881 & 0.0112781854702378 & 0.00563909273511888 \tabularnewline
277 & 0.979629946517152 & 0.0407401069656968 & 0.0203700534828484 \tabularnewline
278 & 0.933098119966827 & 0.133803760066346 & 0.0669018800331728 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157446&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]0.172322559544289[/C][C]0.344645119088577[/C][C]0.827677440455711[/C][/ROW]
[ROW][C]12[/C][C]0.222333993293603[/C][C]0.444667986587206[/C][C]0.777666006706397[/C][/ROW]
[ROW][C]13[/C][C]0.9707063311425[/C][C]0.0585873377149979[/C][C]0.0292936688574989[/C][/ROW]
[ROW][C]14[/C][C]0.959090483782725[/C][C]0.0818190324345505[/C][C]0.0409095162172752[/C][/ROW]
[ROW][C]15[/C][C]0.937240794114449[/C][C]0.125518411771102[/C][C]0.0627592058855508[/C][/ROW]
[ROW][C]16[/C][C]0.907388954763507[/C][C]0.185222090472986[/C][C]0.0926110452364931[/C][/ROW]
[ROW][C]17[/C][C]0.869037730413445[/C][C]0.261924539173111[/C][C]0.130962269586555[/C][/ROW]
[ROW][C]18[/C][C]0.839276289422235[/C][C]0.32144742115553[/C][C]0.160723710577765[/C][/ROW]
[ROW][C]19[/C][C]0.849304434126737[/C][C]0.301391131746526[/C][C]0.150695565873263[/C][/ROW]
[ROW][C]20[/C][C]0.864008726192348[/C][C]0.271982547615305[/C][C]0.135991273807652[/C][/ROW]
[ROW][C]21[/C][C]0.820103602189247[/C][C]0.359792795621506[/C][C]0.179896397810753[/C][/ROW]
[ROW][C]22[/C][C]0.771868566351592[/C][C]0.456262867296817[/C][C]0.228131433648408[/C][/ROW]
[ROW][C]23[/C][C]0.956940322356334[/C][C]0.0861193552873316[/C][C]0.0430596776436658[/C][/ROW]
[ROW][C]24[/C][C]0.951564560897667[/C][C]0.096870878204665[/C][C]0.0484354391023325[/C][/ROW]
[ROW][C]25[/C][C]0.93727977406273[/C][C]0.125440451874538[/C][C]0.0627202259372692[/C][/ROW]
[ROW][C]26[/C][C]0.99317339959672[/C][C]0.0136532008065592[/C][C]0.00682660040327958[/C][/ROW]
[ROW][C]27[/C][C]0.993897126225369[/C][C]0.012205747549262[/C][C]0.006102873774631[/C][/ROW]
[ROW][C]28[/C][C]0.991963277985382[/C][C]0.0160734440292353[/C][C]0.00803672201461766[/C][/ROW]
[ROW][C]29[/C][C]0.997319079124104[/C][C]0.00536184175179166[/C][C]0.00268092087589583[/C][/ROW]
[ROW][C]30[/C][C]0.995880255729784[/C][C]0.00823948854043264[/C][C]0.00411974427021632[/C][/ROW]
[ROW][C]31[/C][C]0.995026363581437[/C][C]0.00994727283712525[/C][C]0.00497363641856262[/C][/ROW]
[ROW][C]32[/C][C]0.993855652289229[/C][C]0.0122886954215425[/C][C]0.00614434771077125[/C][/ROW]
[ROW][C]33[/C][C]0.995458441656456[/C][C]0.0090831166870882[/C][C]0.0045415583435441[/C][/ROW]
[ROW][C]34[/C][C]0.997877701076226[/C][C]0.00424459784754804[/C][C]0.00212229892377402[/C][/ROW]
[ROW][C]35[/C][C]0.996877835752016[/C][C]0.00624432849596722[/C][C]0.00312216424798361[/C][/ROW]
[ROW][C]36[/C][C]0.995638369753862[/C][C]0.00872326049227598[/C][C]0.00436163024613799[/C][/ROW]
[ROW][C]37[/C][C]0.995322108283027[/C][C]0.0093557834339451[/C][C]0.00467789171697255[/C][/ROW]
[ROW][C]38[/C][C]0.994214367201676[/C][C]0.0115712655966478[/C][C]0.0057856327983239[/C][/ROW]
[ROW][C]39[/C][C]0.999787867056451[/C][C]0.000424265887098311[/C][C]0.000212132943549156[/C][/ROW]
[ROW][C]40[/C][C]0.999705241270678[/C][C]0.00058951745864403[/C][C]0.000294758729322015[/C][/ROW]
[ROW][C]41[/C][C]0.9995608013483[/C][C]0.000878397303401586[/C][C]0.000439198651700793[/C][/ROW]
[ROW][C]42[/C][C]0.999462828837075[/C][C]0.00107434232584985[/C][C]0.000537171162924926[/C][/ROW]
[ROW][C]43[/C][C]0.999612728923422[/C][C]0.000774542153156461[/C][C]0.00038727107657823[/C][/ROW]
[ROW][C]44[/C][C]0.999493244573454[/C][C]0.00101351085309198[/C][C]0.00050675542654599[/C][/ROW]
[ROW][C]45[/C][C]0.999422614827707[/C][C]0.00115477034458651[/C][C]0.000577385172293257[/C][/ROW]
[ROW][C]46[/C][C]0.99928046205096[/C][C]0.00143907589808003[/C][C]0.000719537949040015[/C][/ROW]
[ROW][C]47[/C][C]0.999228621602917[/C][C]0.00154275679416642[/C][C]0.000771378397083211[/C][/ROW]
[ROW][C]48[/C][C]0.998886437709998[/C][C]0.0022271245800034[/C][C]0.0011135622900017[/C][/ROW]
[ROW][C]49[/C][C]0.998407695762077[/C][C]0.00318460847584636[/C][C]0.00159230423792318[/C][/ROW]
[ROW][C]50[/C][C]0.999213305480913[/C][C]0.00157338903817369[/C][C]0.000786694519086843[/C][/ROW]
[ROW][C]51[/C][C]0.999453007013402[/C][C]0.00109398597319548[/C][C]0.00054699298659774[/C][/ROW]
[ROW][C]52[/C][C]0.999209361920183[/C][C]0.00158127615963353[/C][C]0.000790638079816764[/C][/ROW]
[ROW][C]53[/C][C]0.999044491304823[/C][C]0.00191101739035403[/C][C]0.000955508695177013[/C][/ROW]
[ROW][C]54[/C][C]0.999155003756527[/C][C]0.00168999248694567[/C][C]0.000844996243472836[/C][/ROW]
[ROW][C]55[/C][C]0.99977939017992[/C][C]0.000441219640159021[/C][C]0.00022060982007951[/C][/ROW]
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[ROW][C]57[/C][C]0.99961354460514[/C][C]0.000772910789720764[/C][C]0.000386455394860382[/C][/ROW]
[ROW][C]58[/C][C]0.999810467159994[/C][C]0.000379065680011274[/C][C]0.000189532840005637[/C][/ROW]
[ROW][C]59[/C][C]0.999720668720543[/C][C]0.000558662558913952[/C][C]0.000279331279456976[/C][/ROW]
[ROW][C]60[/C][C]0.999613599893358[/C][C]0.000772800213284233[/C][C]0.000386400106642116[/C][/ROW]
[ROW][C]61[/C][C]0.999443173509295[/C][C]0.00111365298140912[/C][C]0.00055682649070456[/C][/ROW]
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[ROW][C]98[/C][C]0.99999972941614[/C][C]5.41167719912756e-07[/C][C]2.70583859956378e-07[/C][/ROW]
[ROW][C]99[/C][C]0.999999736359938[/C][C]5.27280123839412e-07[/C][C]2.63640061919706e-07[/C][/ROW]
[ROW][C]100[/C][C]0.999999652957528[/C][C]6.94084943902486e-07[/C][C]3.47042471951243e-07[/C][/ROW]
[ROW][C]101[/C][C]0.999999477414617[/C][C]1.04517076530117e-06[/C][C]5.22585382650584e-07[/C][/ROW]
[ROW][C]102[/C][C]0.999999211835061[/C][C]1.5763298775467e-06[/C][C]7.88164938773351e-07[/C][/ROW]
[ROW][C]103[/C][C]0.99999920532024[/C][C]1.58935951949852e-06[/C][C]7.94679759749258e-07[/C][/ROW]
[ROW][C]104[/C][C]0.99999878067226[/C][C]2.43865548096948e-06[/C][C]1.21932774048474e-06[/C][/ROW]
[ROW][C]105[/C][C]0.9999982221735[/C][C]3.55565299786052e-06[/C][C]1.77782649893026e-06[/C][/ROW]
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[ROW][C]107[/C][C]0.999996791706194[/C][C]6.41658761269082e-06[/C][C]3.20829380634541e-06[/C][/ROW]
[ROW][C]108[/C][C]0.999995359222751[/C][C]9.28155449726408e-06[/C][C]4.64077724863204e-06[/C][/ROW]
[ROW][C]109[/C][C]0.999993826254713[/C][C]1.23474905736148e-05[/C][C]6.17374528680741e-06[/C][/ROW]
[ROW][C]110[/C][C]0.999991648400066[/C][C]1.67031998678504e-05[/C][C]8.35159993392521e-06[/C][/ROW]
[ROW][C]111[/C][C]0.999987757878353[/C][C]2.44842432948482e-05[/C][C]1.22421216474241e-05[/C][/ROW]
[ROW][C]112[/C][C]0.999983806680395[/C][C]3.23866392095717e-05[/C][C]1.61933196047858e-05[/C][/ROW]
[ROW][C]113[/C][C]0.999984115273247[/C][C]3.1769453505852e-05[/C][C]1.5884726752926e-05[/C][/ROW]
[ROW][C]114[/C][C]0.999976940942923[/C][C]4.61181141547428e-05[/C][C]2.30590570773714e-05[/C][/ROW]
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[ROW][C]116[/C][C]0.999989212635028[/C][C]2.15747299430558e-05[/C][C]1.07873649715279e-05[/C][/ROW]
[ROW][C]117[/C][C]0.999984222374523[/C][C]3.1555250953265e-05[/C][C]1.57776254766325e-05[/C][/ROW]
[ROW][C]118[/C][C]0.99999451793621[/C][C]1.096412758163e-05[/C][C]5.482063790815e-06[/C][/ROW]
[ROW][C]119[/C][C]0.999993524375886[/C][C]1.29512482281767e-05[/C][C]6.47562411408834e-06[/C][/ROW]
[ROW][C]120[/C][C]0.999991841268152[/C][C]1.63174636958677e-05[/C][C]8.15873184793384e-06[/C][/ROW]
[ROW][C]121[/C][C]0.999988024943124[/C][C]2.39501137510471e-05[/C][C]1.19750568755236e-05[/C][/ROW]
[ROW][C]122[/C][C]0.99999151908258[/C][C]1.69618348385274e-05[/C][C]8.48091741926368e-06[/C][/ROW]
[ROW][C]123[/C][C]0.999994095241248[/C][C]1.18095175032805e-05[/C][C]5.90475875164025e-06[/C][/ROW]
[ROW][C]124[/C][C]0.999997874444334[/C][C]4.25111133169289e-06[/C][C]2.12555566584645e-06[/C][/ROW]
[ROW][C]125[/C][C]0.99999974384349[/C][C]5.12313021518769e-07[/C][C]2.56156510759385e-07[/C][/ROW]
[ROW][C]126[/C][C]0.999999711751686[/C][C]5.76496627065031e-07[/C][C]2.88248313532516e-07[/C][/ROW]
[ROW][C]127[/C][C]0.999999592246136[/C][C]8.15507728434076e-07[/C][C]4.07753864217038e-07[/C][/ROW]
[ROW][C]128[/C][C]0.999999430791179[/C][C]1.13841764232447e-06[/C][C]5.69208821162233e-07[/C][/ROW]
[ROW][C]129[/C][C]0.999999536298221[/C][C]9.27403558215355e-07[/C][C]4.63701779107677e-07[/C][/ROW]
[ROW][C]130[/C][C]0.999999288753902[/C][C]1.42249219589965e-06[/C][C]7.11246097949823e-07[/C][/ROW]
[ROW][C]131[/C][C]0.999998921057727[/C][C]2.15788454680262e-06[/C][C]1.07894227340131e-06[/C][/ROW]
[ROW][C]132[/C][C]0.999999031820536[/C][C]1.93635892862552e-06[/C][C]9.68179464312758e-07[/C][/ROW]
[ROW][C]133[/C][C]0.99999873871301[/C][C]2.5225739805217e-06[/C][C]1.26128699026085e-06[/C][/ROW]
[ROW][C]134[/C][C]0.99999959807448[/C][C]8.03851039210785e-07[/C][C]4.01925519605392e-07[/C][/ROW]
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[ROW][C]137[/C][C]0.999999444517595[/C][C]1.11096480988089e-06[/C][C]5.55482404940444e-07[/C][/ROW]
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[ROW][C]146[/C][C]0.99999529710218[/C][C]9.40579563893745e-06[/C][C]4.70289781946873e-06[/C][/ROW]
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[ROW][C]171[/C][C]0.99999922346835[/C][C]1.55306329962993e-06[/C][C]7.76531649814964e-07[/C][/ROW]
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[ROW][C]180[/C][C]0.999999951618529[/C][C]9.6762942182952e-08[/C][C]4.8381471091476e-08[/C][/ROW]
[ROW][C]181[/C][C]0.999999949952276[/C][C]1.0009544779074e-07[/C][C]5.00477238953699e-08[/C][/ROW]
[ROW][C]182[/C][C]0.999999991962821[/C][C]1.60743574460291e-08[/C][C]8.03717872301457e-09[/C][/ROW]
[ROW][C]183[/C][C]0.999999986507143[/C][C]2.69857143132566e-08[/C][C]1.34928571566283e-08[/C][/ROW]
[ROW][C]184[/C][C]0.999999989712934[/C][C]2.0574132609095e-08[/C][C]1.02870663045475e-08[/C][/ROW]
[ROW][C]185[/C][C]0.999999996026418[/C][C]7.94716410031206e-09[/C][C]3.97358205015603e-09[/C][/ROW]
[ROW][C]186[/C][C]0.999999993225996[/C][C]1.35480085989951e-08[/C][C]6.77400429949756e-09[/C][/ROW]
[ROW][C]187[/C][C]0.999999988152553[/C][C]2.36948934316345e-08[/C][C]1.18474467158172e-08[/C][/ROW]
[ROW][C]188[/C][C]0.999999980924597[/C][C]3.81508062223342e-08[/C][C]1.90754031111671e-08[/C][/ROW]
[ROW][C]189[/C][C]0.999999979121187[/C][C]4.17576261391479e-08[/C][C]2.08788130695739e-08[/C][/ROW]
[ROW][C]190[/C][C]0.999999968444334[/C][C]6.31113322040567e-08[/C][C]3.15556661020283e-08[/C][/ROW]
[ROW][C]191[/C][C]0.999999984323042[/C][C]3.135391644539e-08[/C][C]1.5676958222695e-08[/C][/ROW]
[ROW][C]192[/C][C]0.999999972596865[/C][C]5.48062707059643e-08[/C][C]2.74031353529821e-08[/C][/ROW]
[ROW][C]193[/C][C]0.999999964713535[/C][C]7.05729302972813e-08[/C][C]3.52864651486407e-08[/C][/ROW]
[ROW][C]194[/C][C]0.99999994229269[/C][C]1.15414620860366e-07[/C][C]5.77073104301832e-08[/C][/ROW]
[ROW][C]195[/C][C]0.999999917161933[/C][C]1.65676134913332e-07[/C][C]8.28380674566662e-08[/C][/ROW]
[ROW][C]196[/C][C]0.999999884819225[/C][C]2.30361549930229e-07[/C][C]1.15180774965114e-07[/C][/ROW]
[ROW][C]197[/C][C]0.999999834663631[/C][C]3.30672738322446e-07[/C][C]1.65336369161223e-07[/C][/ROW]
[ROW][C]198[/C][C]0.999999742430563[/C][C]5.15138874767236e-07[/C][C]2.57569437383618e-07[/C][/ROW]
[ROW][C]199[/C][C]0.99999977589297[/C][C]4.48214060233784e-07[/C][C]2.24107030116892e-07[/C][/ROW]
[ROW][C]200[/C][C]0.999999648223307[/C][C]7.03553386339686e-07[/C][C]3.51776693169843e-07[/C][/ROW]
[ROW][C]201[/C][C]0.999999429648303[/C][C]1.14070339411142e-06[/C][C]5.7035169705571e-07[/C][/ROW]
[ROW][C]202[/C][C]0.999999275827469[/C][C]1.44834506305145e-06[/C][C]7.24172531525723e-07[/C][/ROW]
[ROW][C]203[/C][C]0.999998994922322[/C][C]2.0101553552846e-06[/C][C]1.0050776776423e-06[/C][/ROW]
[ROW][C]204[/C][C]0.999998353551724[/C][C]3.29289655260154e-06[/C][C]1.64644827630077e-06[/C][/ROW]
[ROW][C]205[/C][C]0.99999859793415[/C][C]2.80413170296018e-06[/C][C]1.40206585148009e-06[/C][/ROW]
[ROW][C]206[/C][C]0.99999781330509[/C][C]4.37338982042204e-06[/C][C]2.18669491021102e-06[/C][/ROW]
[ROW][C]207[/C][C]0.999996453436164[/C][C]7.09312767249892e-06[/C][C]3.54656383624946e-06[/C][/ROW]
[ROW][C]208[/C][C]0.999999721456152[/C][C]5.57087696882594e-07[/C][C]2.78543848441297e-07[/C][/ROW]
[ROW][C]209[/C][C]0.99999988901634[/C][C]2.21967318474328e-07[/C][C]1.10983659237164e-07[/C][/ROW]
[ROW][C]210[/C][C]0.99999985589505[/C][C]2.8820990195705e-07[/C][C]1.44104950978525e-07[/C][/ROW]
[ROW][C]211[/C][C]0.999999786301311[/C][C]4.27397377198856e-07[/C][C]2.13698688599428e-07[/C][/ROW]
[ROW][C]212[/C][C]0.999999930077675[/C][C]1.39844649638537e-07[/C][C]6.99223248192685e-08[/C][/ROW]
[ROW][C]213[/C][C]0.999999873987916[/C][C]2.5202416702374e-07[/C][C]1.2601208351187e-07[/C][/ROW]
[ROW][C]214[/C][C]0.999999776402835[/C][C]4.47194329866824e-07[/C][C]2.23597164933412e-07[/C][/ROW]
[ROW][C]215[/C][C]0.999999890154465[/C][C]2.19691069911515e-07[/C][C]1.09845534955758e-07[/C][/ROW]
[ROW][C]216[/C][C]0.999999827304384[/C][C]3.45391232279042e-07[/C][C]1.72695616139521e-07[/C][/ROW]
[ROW][C]217[/C][C]0.999999910110568[/C][C]1.79778864207588e-07[/C][C]8.98894321037938e-08[/C][/ROW]
[ROW][C]218[/C][C]0.999999844373017[/C][C]3.11253965264678e-07[/C][C]1.55626982632339e-07[/C][/ROW]
[ROW][C]219[/C][C]0.999999722635339[/C][C]5.54729322148225e-07[/C][C]2.77364661074112e-07[/C][/ROW]
[ROW][C]220[/C][C]0.999999811466873[/C][C]3.77066254025392e-07[/C][C]1.88533127012696e-07[/C][/ROW]
[ROW][C]221[/C][C]0.999999669505698[/C][C]6.60988603875488e-07[/C][C]3.30494301937744e-07[/C][/ROW]
[ROW][C]222[/C][C]0.999999435828298[/C][C]1.12834340336401e-06[/C][C]5.64171701682006e-07[/C][/ROW]
[ROW][C]223[/C][C]0.999999778275878[/C][C]4.43448243175382e-07[/C][C]2.21724121587691e-07[/C][/ROW]
[ROW][C]224[/C][C]0.999999631030282[/C][C]7.37939435906492e-07[/C][C]3.68969717953246e-07[/C][/ROW]
[ROW][C]225[/C][C]0.999999344661188[/C][C]1.31067762450907e-06[/C][C]6.55338812254534e-07[/C][/ROW]
[ROW][C]226[/C][C]0.999998856188035[/C][C]2.28762393002601e-06[/C][C]1.14381196501301e-06[/C][/ROW]
[ROW][C]227[/C][C]0.999998337374009[/C][C]3.32525198270661e-06[/C][C]1.66262599135331e-06[/C][/ROW]
[ROW][C]228[/C][C]0.999998220656268[/C][C]3.55868746481454e-06[/C][C]1.77934373240727e-06[/C][/ROW]
[ROW][C]229[/C][C]0.999997047102006[/C][C]5.90579598883745e-06[/C][C]2.95289799441872e-06[/C][/ROW]
[ROW][C]230[/C][C]0.999999182345103[/C][C]1.63530979436003e-06[/C][C]8.17654897180015e-07[/C][/ROW]
[ROW][C]231[/C][C]0.999999000474072[/C][C]1.99905185590605e-06[/C][C]9.99525927953023e-07[/C][/ROW]
[ROW][C]232[/C][C]0.999998137886736[/C][C]3.72422652884643e-06[/C][C]1.86211326442321e-06[/C][/ROW]
[ROW][C]233[/C][C]0.999999404577224[/C][C]1.19084555264368e-06[/C][C]5.95422776321839e-07[/C][/ROW]
[ROW][C]234[/C][C]0.999998870840018[/C][C]2.25831996384537e-06[/C][C]1.12915998192268e-06[/C][/ROW]
[ROW][C]235[/C][C]0.999999217821473[/C][C]1.56435705486353e-06[/C][C]7.82178527431766e-07[/C][/ROW]
[ROW][C]236[/C][C]0.999998772708172[/C][C]2.45458365541841e-06[/C][C]1.22729182770921e-06[/C][/ROW]
[ROW][C]237[/C][C]0.999999981636491[/C][C]3.67270174246417e-08[/C][C]1.83635087123209e-08[/C][/ROW]
[ROW][C]238[/C][C]0.9999999681029[/C][C]6.37941989975842e-08[/C][C]3.18970994987921e-08[/C][/ROW]
[ROW][C]239[/C][C]0.99999993808274[/C][C]1.23834521599197e-07[/C][C]6.19172607995985e-08[/C][/ROW]
[ROW][C]240[/C][C]0.999999959345382[/C][C]8.13092362568081e-08[/C][C]4.06546181284041e-08[/C][/ROW]
[ROW][C]241[/C][C]0.999999920650431[/C][C]1.5869913755825e-07[/C][C]7.93495687791249e-08[/C][/ROW]
[ROW][C]242[/C][C]0.999999831751639[/C][C]3.3649672296908e-07[/C][C]1.6824836148454e-07[/C][/ROW]
[ROW][C]243[/C][C]0.99999986209487[/C][C]2.75810261769882e-07[/C][C]1.37905130884941e-07[/C][/ROW]
[ROW][C]244[/C][C]0.999999817223193[/C][C]3.6555361349102e-07[/C][C]1.8277680674551e-07[/C][/ROW]
[ROW][C]245[/C][C]0.999999604383182[/C][C]7.91233635517457e-07[/C][C]3.95616817758729e-07[/C][/ROW]
[ROW][C]246[/C][C]0.99999929431088[/C][C]1.41137823912989e-06[/C][C]7.05689119564945e-07[/C][/ROW]
[ROW][C]247[/C][C]0.999999405835308[/C][C]1.18832938360191e-06[/C][C]5.94164691800954e-07[/C][/ROW]
[ROW][C]248[/C][C]0.999999168772287[/C][C]1.66245542620987e-06[/C][C]8.31227713104937e-07[/C][/ROW]
[ROW][C]249[/C][C]0.999998173640722[/C][C]3.65271855509267e-06[/C][C]1.82635927754634e-06[/C][/ROW]
[ROW][C]250[/C][C]0.999998881208937[/C][C]2.23758212610644e-06[/C][C]1.11879106305322e-06[/C][/ROW]
[ROW][C]251[/C][C]0.99999906308344[/C][C]1.87383311897086e-06[/C][C]9.3691655948543e-07[/C][/ROW]
[ROW][C]252[/C][C]0.999997958919946[/C][C]4.08216010785743e-06[/C][C]2.04108005392872e-06[/C][/ROW]
[ROW][C]253[/C][C]0.999995445842078[/C][C]9.108315844952e-06[/C][C]4.554157922476e-06[/C][/ROW]
[ROW][C]254[/C][C]0.999989911973424[/C][C]2.01760531528599e-05[/C][C]1.008802657643e-05[/C][/ROW]
[ROW][C]255[/C][C]0.999979472840502[/C][C]4.10543189965893e-05[/C][C]2.05271594982946e-05[/C][/ROW]
[ROW][C]256[/C][C]0.999959233816831[/C][C]8.15323663378567e-05[/C][C]4.07661831689284e-05[/C][/ROW]
[ROW][C]257[/C][C]0.9999452451224[/C][C]0.000109509755198919[/C][C]5.47548775994596e-05[/C][/ROW]
[ROW][C]258[/C][C]0.999895143007928[/C][C]0.000209713984144914[/C][C]0.000104856992072457[/C][/ROW]
[ROW][C]259[/C][C]0.999872190552776[/C][C]0.000255618894448877[/C][C]0.000127809447224439[/C][/ROW]
[ROW][C]260[/C][C]0.999734958454777[/C][C]0.000530083090445973[/C][C]0.000265041545222987[/C][/ROW]
[ROW][C]261[/C][C]0.999638781398452[/C][C]0.00072243720309576[/C][C]0.00036121860154788[/C][/ROW]
[ROW][C]262[/C][C]0.999276177356188[/C][C]0.00144764528762482[/C][C]0.00072382264381241[/C][/ROW]
[ROW][C]263[/C][C]0.998854393274406[/C][C]0.00229121345118878[/C][C]0.00114560672559439[/C][/ROW]
[ROW][C]264[/C][C]0.997992663336727[/C][C]0.0040146733265459[/C][C]0.00200733666327295[/C][/ROW]
[ROW][C]265[/C][C]0.997704415557417[/C][C]0.00459116888516531[/C][C]0.00229558444258265[/C][/ROW]
[ROW][C]266[/C][C]0.995553736952098[/C][C]0.00889252609580454[/C][C]0.00444626304790227[/C][/ROW]
[ROW][C]267[/C][C]0.996151321315093[/C][C]0.0076973573698142[/C][C]0.0038486786849071[/C][/ROW]
[ROW][C]268[/C][C]0.99291738154829[/C][C]0.0141652369034206[/C][C]0.00708261845171028[/C][/ROW]
[ROW][C]269[/C][C]0.999991089314139[/C][C]1.78213717227397e-05[/C][C]8.91068586136987e-06[/C][/ROW]
[ROW][C]270[/C][C]0.99997137838681[/C][C]5.72432263784304e-05[/C][C]2.86216131892152e-05[/C][/ROW]
[ROW][C]271[/C][C]0.999945064033685[/C][C]0.000109871932630034[/C][C]5.49359663150171e-05[/C][/ROW]
[ROW][C]272[/C][C]0.999802567973294[/C][C]0.000394864053411268[/C][C]0.000197432026705634[/C][/ROW]
[ROW][C]273[/C][C]0.999662951538612[/C][C]0.000674096922776247[/C][C]0.000337048461388123[/C][/ROW]
[ROW][C]274[/C][C]0.999136088068331[/C][C]0.0017278238633382[/C][C]0.000863911931669098[/C][/ROW]
[ROW][C]275[/C][C]0.998383024289292[/C][C]0.0032339514214153[/C][C]0.00161697571070765[/C][/ROW]
[ROW][C]276[/C][C]0.994360907264881[/C][C]0.0112781854702378[/C][C]0.00563909273511888[/C][/ROW]
[ROW][C]277[/C][C]0.979629946517152[/C][C]0.0407401069656968[/C][C]0.0203700534828484[/C][/ROW]
[ROW][C]278[/C][C]0.933098119966827[/C][C]0.133803760066346[/C][C]0.0669018800331728[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157446&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157446&T=5

As an alternative you can also use a QR Code:  
QR Code


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.1723225595442890.3446451190885770.827677440455711
120.2223339932936030.4446679865872060.777666006706397
130.97070633114250.05858733771499790.0292936688574989
140.9590904837827250.08181903243455050.0409095162172752
150.9372407941144490.1255184117711020.0627592058855508
160.9073889547635070.1852220904729860.0926110452364931
170.8690377304134450.2619245391731110.130962269586555
180.8392762894222350.321447421155530.160723710577765
190.8493044341267370.3013911317465260.150695565873263
200.8640087261923480.2719825476153050.135991273807652
210.8201036021892470.3597927956215060.179896397810753
220.7718685663515920.4562628672968170.228131433648408
230.9569403223563340.08611935528733160.0430596776436658
240.9515645608976670.0968708782046650.0484354391023325
250.937279774062730.1254404518745380.0627202259372692
260.993173399596720.01365320080655920.00682660040327958
270.9938971262253690.0122057475492620.006102873774631
280.9919632779853820.01607344402923530.00803672201461766
290.9973190791241040.005361841751791660.00268092087589583
300.9958802557297840.008239488540432640.00411974427021632
310.9950263635814370.009947272837125250.00497363641856262
320.9938556522892290.01228869542154250.00614434771077125
330.9954584416564560.00908311668708820.0045415583435441
340.9978777010762260.004244597847548040.00212229892377402
350.9968778357520160.006244328495967220.00312216424798361
360.9956383697538620.008723260492275980.00436163024613799
370.9953221082830270.00935578343394510.00467789171697255
380.9942143672016760.01157126559664780.0057856327983239
390.9997878670564510.0004242658870983110.000212132943549156
400.9997052412706780.000589517458644030.000294758729322015
410.99956080134830.0008783973034015860.000439198651700793
420.9994628288370750.001074342325849850.000537171162924926
430.9996127289234220.0007745421531564610.00038727107657823
440.9994932445734540.001013510853091980.00050675542654599
450.9994226148277070.001154770344586510.000577385172293257
460.999280462050960.001439075898080030.000719537949040015
470.9992286216029170.001542756794166420.000771378397083211
480.9988864377099980.00222712458000340.0011135622900017
490.9984076957620770.003184608475846360.00159230423792318
500.9992133054809130.001573389038173690.000786694519086843
510.9994530070134020.001093985973195480.00054699298659774
520.9992093619201830.001581276159633530.000790638079816764
530.9990444913048230.001911017390354030.000955508695177013
540.9991550037565270.001689992486945670.000844996243472836
550.999779390179920.0004412196401590210.00022060982007951
560.9996809381929680.0006381236140644680.000319061807032234
570.999613544605140.0007729107897207640.000386455394860382
580.9998104671599940.0003790656800112740.000189532840005637
590.9997206687205430.0005586625589139520.000279331279456976
600.9996135998933580.0007728002132842330.000386400106642116
610.9994431735092950.001113652981409120.00055682649070456
620.999474608316910.001050783366177860.000525391683088928
630.9994375408153840.001124918369231840.000562459184615921
640.999254287051510.001491425896980260.000745712948490132
650.9997431284454740.0005137431090521050.000256871554526052
660.9996319238845930.0007361522308130450.000368076115406522
670.9995972408458050.0008055183083908730.000402759154195437
680.999451270259720.001097459480561320.00054872974028066
690.999444532029430.001110935941138790.000555467970569394
700.9995428756117250.0009142487765507440.000457124388275372
710.999369432803210.001261134393578970.000630567196789486
720.9994155904903680.001168819019263490.000584409509631743
730.999534256089110.0009314878217797370.000465743910889868
740.9996205554531580.000758889093684790.000379444546842395
750.9996508782842560.0006982434314880.000349121715744
760.999626710054240.0007465798915210680.000373289945760534
770.9996317988255680.0007364023488635480.000368201174431774
780.9995198900028340.0009602199943314420.000480109997165721
790.9994751109539050.001049778092190670.000524889046095336
800.999309366928130.001381266143741830.000690633071870914
810.9991043012857540.001791397428491120.000895698714245562
820.9991044282539170.001791143492165660.00089557174608283
830.9995388817614980.0009222364770042060.000461118238502103
840.9995119118018740.0009761763962526030.000488088198126302
850.9993763500874410.001247299825117860.000623649912558932
860.999248331717880.001503336564240630.000751668282120315
870.9989930783288060.002013843342387910.00100692167119395
880.9986945863307190.002610827338562820.00130541366928141
890.999829021644660.0003419567106778680.000170978355338934
900.999763278027440.0004734439451226310.000236721972561315
910.9997852556618640.0004294886762723190.000214744338136159
920.9997472706191840.0005054587616326590.000252729380816329
930.9997269345101260.0005461309797474130.000273065489873707
940.9996253559439320.0007492881121353740.000374644056067687
950.9996217125517570.0007565748964861340.000378287448243067
960.999533840409230.0009323191815375690.000466159590768784
970.999720962216680.0005580755666413610.000279037783320681
980.999999729416145.41167719912756e-072.70583859956378e-07
990.9999997363599385.27280123839412e-072.63640061919706e-07
1000.9999996529575286.94084943902486e-073.47042471951243e-07
1010.9999994774146171.04517076530117e-065.22585382650584e-07
1020.9999992118350611.5763298775467e-067.88164938773351e-07
1030.999999205320241.58935951949852e-067.94679759749258e-07
1040.999998780672262.43865548096948e-061.21932774048474e-06
1050.99999822217353.55565299786052e-061.77782649893026e-06
1060.9999973382706675.32345866672422e-062.66172933336211e-06
1070.9999967917061946.41658761269082e-063.20829380634541e-06
1080.9999953592227519.28155449726408e-064.64077724863204e-06
1090.9999938262547131.23474905736148e-056.17374528680741e-06
1100.9999916484000661.67031998678504e-058.35159993392521e-06
1110.9999877578783532.44842432948482e-051.22421216474241e-05
1120.9999838066803953.23866392095717e-051.61933196047858e-05
1130.9999841152732473.1769453505852e-051.5884726752926e-05
1140.9999769409429234.61181141547428e-052.30590570773714e-05
1150.9999906197339021.87605321959319e-059.38026609796597e-06
1160.9999892126350282.15747299430558e-051.07873649715279e-05
1170.9999842223745233.1555250953265e-051.57776254766325e-05
1180.999994517936211.096412758163e-055.482063790815e-06
1190.9999935243758861.29512482281767e-056.47562411408834e-06
1200.9999918412681521.63174636958677e-058.15873184793384e-06
1210.9999880249431242.39501137510471e-051.19750568755236e-05
1220.999991519082581.69618348385274e-058.48091741926368e-06
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1240.9999978744443344.25111133169289e-062.12555566584645e-06
1250.999999743843495.12313021518769e-072.56156510759385e-07
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1270.9999995922461368.15507728434076e-074.07753864217038e-07
1280.9999994307911791.13841764232447e-065.69208821162233e-07
1290.9999995362982219.27403558215355e-074.63701779107677e-07
1300.9999992887539021.42249219589965e-067.11246097949823e-07
1310.9999989210577272.15788454680262e-061.07894227340131e-06
1320.9999990318205361.93635892862552e-069.68179464312758e-07
1330.999998738713012.5225739805217e-061.26128699026085e-06
1340.999999598074488.03851039210785e-074.01925519605392e-07
1350.9999994364120161.1271759686293e-065.63587984314649e-07
1360.9999996383743777.23251245440592e-073.61625622720296e-07
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1600.9999492856484930.000101428703014685.07143515073399e-05
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1670.999927412106380.0001451757872388477.25878936194234e-05
1680.9998963807557060.0002072384885873270.000103619244293664
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1700.9999995001716629.99656675259617e-074.99828337629809e-07
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1720.999998860752092.27849582146435e-061.13924791073218e-06
1730.9999988538757122.29224857636559e-061.1461242881828e-06
1740.9999992075550021.58488999630315e-067.92444998151576e-07
1750.999999953570469.28590809498161e-084.6429540474908e-08
1760.9999999315214031.36957194936439e-076.84785974682197e-08
1770.9999999403308321.1933833531214e-075.96691676560702e-08
1780.9999999144107721.71178456623096e-078.55892283115478e-08
1790.999999860128522.79742960637528e-071.39871480318764e-07
1800.9999999516185299.6762942182952e-084.8381471091476e-08
1810.9999999499522761.0009544779074e-075.00477238953699e-08
1820.9999999919628211.60743574460291e-088.03717872301457e-09
1830.9999999865071432.69857143132566e-081.34928571566283e-08
1840.9999999897129342.0574132609095e-081.02870663045475e-08
1850.9999999960264187.94716410031206e-093.97358205015603e-09
1860.9999999932259961.35480085989951e-086.77400429949756e-09
1870.9999999881525532.36948934316345e-081.18474467158172e-08
1880.9999999809245973.81508062223342e-081.90754031111671e-08
1890.9999999791211874.17576261391479e-082.08788130695739e-08
1900.9999999684443346.31113322040567e-083.15556661020283e-08
1910.9999999843230423.135391644539e-081.5676958222695e-08
1920.9999999725968655.48062707059643e-082.74031353529821e-08
1930.9999999647135357.05729302972813e-083.52864651486407e-08
1940.999999942292691.15414620860366e-075.77073104301832e-08
1950.9999999171619331.65676134913332e-078.28380674566662e-08
1960.9999998848192252.30361549930229e-071.15180774965114e-07
1970.9999998346636313.30672738322446e-071.65336369161223e-07
1980.9999997424305635.15138874767236e-072.57569437383618e-07
1990.999999775892974.48214060233784e-072.24107030116892e-07
2000.9999996482233077.03553386339686e-073.51776693169843e-07
2010.9999994296483031.14070339411142e-065.7035169705571e-07
2020.9999992758274691.44834506305145e-067.24172531525723e-07
2030.9999989949223222.0101553552846e-061.0050776776423e-06
2040.9999983535517243.29289655260154e-061.64644827630077e-06
2050.999998597934152.80413170296018e-061.40206585148009e-06
2060.999997813305094.37338982042204e-062.18669491021102e-06
2070.9999964534361647.09312767249892e-063.54656383624946e-06
2080.9999997214561525.57087696882594e-072.78543848441297e-07
2090.999999889016342.21967318474328e-071.10983659237164e-07
2100.999999855895052.8820990195705e-071.44104950978525e-07
2110.9999997863013114.27397377198856e-072.13698688599428e-07
2120.9999999300776751.39844649638537e-076.99223248192685e-08
2130.9999998739879162.5202416702374e-071.2601208351187e-07
2140.9999997764028354.47194329866824e-072.23597164933412e-07
2150.9999998901544652.19691069911515e-071.09845534955758e-07
2160.9999998273043843.45391232279042e-071.72695616139521e-07
2170.9999999101105681.79778864207588e-078.98894321037938e-08
2180.9999998443730173.11253965264678e-071.55626982632339e-07
2190.9999997226353395.54729322148225e-072.77364661074112e-07
2200.9999998114668733.77066254025392e-071.88533127012696e-07
2210.9999996695056986.60988603875488e-073.30494301937744e-07
2220.9999994358282981.12834340336401e-065.64171701682006e-07
2230.9999997782758784.43448243175382e-072.21724121587691e-07
2240.9999996310302827.37939435906492e-073.68969717953246e-07
2250.9999993446611881.31067762450907e-066.55338812254534e-07
2260.9999988561880352.28762393002601e-061.14381196501301e-06
2270.9999983373740093.32525198270661e-061.66262599135331e-06
2280.9999982206562683.55868746481454e-061.77934373240727e-06
2290.9999970471020065.90579598883745e-062.95289799441872e-06
2300.9999991823451031.63530979436003e-068.17654897180015e-07
2310.9999990004740721.99905185590605e-069.99525927953023e-07
2320.9999981378867363.72422652884643e-061.86211326442321e-06
2330.9999994045772241.19084555264368e-065.95422776321839e-07
2340.9999988708400182.25831996384537e-061.12915998192268e-06
2350.9999992178214731.56435705486353e-067.82178527431766e-07
2360.9999987727081722.45458365541841e-061.22729182770921e-06
2370.9999999816364913.67270174246417e-081.83635087123209e-08
2380.99999996810296.37941989975842e-083.18970994987921e-08
2390.999999938082741.23834521599197e-076.19172607995985e-08
2400.9999999593453828.13092362568081e-084.06546181284041e-08
2410.9999999206504311.5869913755825e-077.93495687791249e-08
2420.9999998317516393.3649672296908e-071.6824836148454e-07
2430.999999862094872.75810261769882e-071.37905130884941e-07
2440.9999998172231933.6555361349102e-071.8277680674551e-07
2450.9999996043831827.91233635517457e-073.95616817758729e-07
2460.999999294310881.41137823912989e-067.05689119564945e-07
2470.9999994058353081.18832938360191e-065.94164691800954e-07
2480.9999991687722871.66245542620987e-068.31227713104937e-07
2490.9999981736407223.65271855509267e-061.82635927754634e-06
2500.9999988812089372.23758212610644e-061.11879106305322e-06
2510.999999063083441.87383311897086e-069.3691655948543e-07
2520.9999979589199464.08216010785743e-062.04108005392872e-06
2530.9999954458420789.108315844952e-064.554157922476e-06
2540.9999899119734242.01760531528599e-051.008802657643e-05
2550.9999794728405024.10543189965893e-052.05271594982946e-05
2560.9999592338168318.15323663378567e-054.07661831689284e-05
2570.99994524512240.0001095097551989195.47548775994596e-05
2580.9998951430079280.0002097139841449140.000104856992072457
2590.9998721905527760.0002556188944488770.000127809447224439
2600.9997349584547770.0005300830904459730.000265041545222987
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2700.999971378386815.72432263784304e-052.86216131892152e-05
2710.9999450640336850.0001098719326300345.49359663150171e-05
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2730.9996629515386120.0006740969227762470.000337048461388123
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2760.9943609072648810.01127818547023780.00563909273511888
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Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2440.91044776119403NOK
5% type I error level2520.940298507462687NOK
10% type I error level2560.955223880597015NOK

\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 & 244 & 0.91044776119403 & NOK \tabularnewline
5% type I error level & 252 & 0.940298507462687 & NOK \tabularnewline
10% type I error level & 256 & 0.955223880597015 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157446&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]244[/C][C]0.91044776119403[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]252[/C][C]0.940298507462687[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]256[/C][C]0.955223880597015[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157446&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157446&T=6

As an alternative you can also use a QR Code:  
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The GUIDs for individual cells are displayed in the table below:

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2440.91044776119403NOK
5% type I error level2520.940298507462687NOK
10% type I error level2560.955223880597015NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
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')
}