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Author

*The author of this computation has been verified*

R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Thu, 30 Dec 2010 00:54:49 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/30/t1293670372tt5c2k1f40lcrx5.htm/, Retrieved Fri, 03 May 2024 05:08:10 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=117207, Retrieved Fri, 03 May 2024 05:08:10 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

195

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

-     [Chi-Squared and McNemar Tests] [] [2010-11-16 14:33:59] [b98453cac15ba1066b407e146608df68]
- RMPD    [Multiple Regression] [] [2010-12-30 00:54:49] [393d554610c677f923bed472882d0fdb] [Current]

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Dataseries X:

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13	8	360	175	3821	11	73	0	0
15	8	390	190	3850	8.5	70	0	0
17	8	304	150	3672	11.5	72	0	0
19.4	6	232	90	3210	17.2	78	0	0
24.3	4	151	90	3003	20.1	80	0	0
18.1	6	258	120	3410	15.1	78	0	0
20.2	6	232	90	3265	18.2	79	0	0
18	6	232	100	2789	15	73	0	0
19	6	232	100	2634	13	71	0	0
20	6	232	100	2914	16	75	0	0
21	6	199	90	2648	15	70	0	0
18	6	199	97	2774	15.5	70	0	0
18	6	232	100	2945	16	73	0	0
19	6	232	100	2901	16	74	0	0
22.5	6	232	90	3085	17.6	76	0	0
18	6	258	110	2962	13.5	71	0	0
14	8	304	150	3672	11.5	73	0	0
15	6	258	110	3730	19	75	0	0
15.5	8	304	120	3962	13.9	76	0	0
16	6	258	110	3632	18	74	0	0
18	6	232	100	3288	15.5	71	0	0
14	8	304	150	4257	15.5	74	0	0
15	8	304	150	3892	12.5	72	0	0
19	6	232	90	3211	17	75	0	0
17.5	6	258	95	3193	17.8	76	0	0
16	8	304	150	3433	12	70	0	0
27.4	4	121	80	2670	15	79	0	0
24	4	107	90	2430	14.5	70	0	1
20	4	114	91	2582	14	73	0	1
23	4	115	95	2694	15	75	0	1
34.3	4	97	78	2188	15.8	80	0	1
20.3	5	131	103	2830	15.9	78	0	1
36.4	5	121	67	2950	19.9	80	0	1
29	4	98	83	2219	16.5	74	0	1
26	4	121	113	2234	12.5	70	0	1
21.5	4	121	110	2600	12.8	77	0	1
17	6	231	110	3907	21	75	0	0
22.4	6	231	110	3415	15.8	81	0	0
13	8	350	175	4100	13	73	0	0
25	6	181	110	2945	16.4	82	0	0
13	8	350	150	4699	14.5	74	0	0
20.6	6	231	105	3380	15.8	78	0	0
12	8	455	225	4951	11	73	0	0
14	8	455	225	3086	10	70	0	0
16.9	8	350	155	4360	14.9	79	0	0
13	8	350	155	4502	13.5	72	0	0
30	4	111	80	2155	14.8	77	0	0
17.7	6	231	165	3445	13.4	78	0	0
21	6	231	110	3039	15	75	0	0
20.5	6	231	105	3425	16.9	77	0	0
26.6	4	151	84	2635	16.4	81	0	0
15	8	350	165	3693	11.5	70	0	0
28.4	4	151	90	2670	16	79	0	0
23	8	350	125	3900	17.4	79	0	0
16.5	8	350	180	4380	12.1	76	0	0
25	4	140	92	2572	14.9	76	0	0
16	6	250	105	3897	18.5	75	0	0
15	8	350	145	4440	14	75	0	0
27	4	151	90	2950	17.3	82	0	0
13	8	400	150	4464	12	73	0	0
17	8	305	130	3840	15.4	79	0	0
17.5	8	305	145	3880	12.5	77	0	0
28	4	112	88	2605	19.6	82	0	0
34	4	112	88	2395	18	82	0	0
27	4	112	88	2640	18.6	82	0	0
13	8	307	130	4098	14	72	0	0
17	6	250	100	3329	15.5	71	0	0
18	8	307	130	3504	12	70	0	0
16	6	250	100	3781	17	74	0	0
17.5	8	305	140	4215	13	76	0	0
29	4	85	52	2035	22.2	76	0	0
30	4	98	68	2155	16.5	78	0	0
30.5	4	98	63	2051	17	77	0	0
32.1	4	98	70	2120	15.5	80	0	0
23.5	6	173	110	2725	12.6	81	0	0
28	4	151	90	2678	16.5	80	0	0
28.8	6	173	115	2595	11.3	79	0	0
17.5	6	250	110	3520	16.4	77	0	0
11	8	400	150	4997	14	73	0	0
13	8	350	165	4274	12	72	0	0
14	8	350	165	4209	12	71	0	0
14	8	454	220	4354	9	70	0	0
13	8	350	145	3988	13	73	0	0
20.5	6	200	95	3155	18.2	78	0	0
19.2	8	267	125	3605	15	79	0	0
15	8	400	150	3761	9.5	70	0	0
15.5	8	350	170	4165	11.4	77	0	0
19.2	8	305	145	3425	13.2	78	0	0
15	8	350	145	4082	13	73	0	0
20	8	262	110	3221	13.5	75	0	0
15	6	250	100	3336	17	74	0	0
18	6	250	105	3459	16	75	0	0
22	6	250	105	3353	14.5	76	0	0
16	6	250	100	3278	18	73	0	0
20	4	140	90	2408	19.5	72	0	0
21	4	140	72	2401	19.5	73	0	0
25	4	140	75	2542	17	74	0	0
22	4	140	72	2408	19	71	0	0
28	4	140	90	2264	15.5	71	0	0
24.5	4	98	60	2164	22.1	76	0	0
13	8	350	145	4055	12	76	0	0
10	8	307	200	4376	15	70	0	0
31	4	119	82	2720	19.4	82	0	0
15.5	8	400	190	4325	12.2	77	0	0
26	4	156	92	2585	14.5	82	0	0
17.6	6	225	85	3465	16.6	81	0	0
18.5	8	360	150	3940	13	79	0	0
13	8	440	215	4735	11	73	0	0
13	8	400	190	4422	12.5	72	0	0
35	4	72	69	1613	18	71	1	0
23.9	4	119	97	2405	14.9	78	1	0
32.9	4	119	100	2615	14.8	81	1	0
31.8	4	85	65	2020	19.2	79	1	0
40.8	4	85	65	2110	19.2	80	1	0
37	4	85	65	1975	19.4	81	1	0
32.7	6	168	132	2910	11.4	80	1	0
37.2	4	86	65	2019	16.4	80	1	0
38	4	91	67	1995	16.2	82	1	0
27.2	4	119	97	2300	14.7	78	1	0
28	4	97	92	2288	17	72	1	0
37	4	119	92	2434	15	80	1	0
22	4	108	94	2379	16.5	73	1	0
24	4	119	97	2545	17	75	1	0
32	4	83	61	2003	19	74	1	0
22	6	146	97	2815	14.5	77	1	0
24.2	6	146	120	2930	13.8	81	1	0
32	4	85	70	1990	17	76	1	0
31	4	79	67	1950	19	74	1	0
39.4	4	85	70	2070	18.6	78	1	0
33.5	4	85	70	1945	16.8	77	1	0
27	4	97	88	2130	14.5	70	1	0
27	4	97	88	2130	14.5	71	1	0
29	4	135	84	2525	16	82	0	0
25.8	4	156	92	2620	14.4	81	0	0
18.6	6	225	110	3620	18.7	78	0	0
19.1	6	225	90	3381	18.7	80	0	0
20.6	6	225	110	3360	16.6	79	0	0
20	6	225	100	3651	17.7	76	0	0
15	8	383	170	3563	10	70	0	0
36	4	135	84	2370	13	82	0	0
26	4	98	79	2255	17.7	76	0	0
27.9	4	156	105	2800	14.4	80	0	0
28	4	90	75	2125	14.5	74	0	0
28	4	98	80	2164	15	72	0	0
25	4	97.5	80	2126	17	72	0	0
35.7	4	98	80	1915	14.4	79	0	0
33.5	4	98	83	2075	15.9	77	0	0
16	8	318	150	4190	13	76	0	0
15	8	318	150	3777	12.5	73	0	0
14	8	318	150	4457	13.5	74	0	0
13	8	318	150	3755	14	76	0	0
11	8	318	210	4382	13.5	70	0	0
15	8	318	150	3399	11	73	0	0
19.4	8	318	140	3735	13.2	78	0	0
17.5	8	318	140	4080	13.7	78	0	0
12	8	383	180	4955	11.5	71	0	0
15.5	8	318	145	4140	13.7	77	0	0
30.9	4	105	75	2230	14.5	78	0	0
32	4	135	84	2295	11.6	82	0	0
18.2	8	318	135	3830	15.2	79	0	0
26	4	98	90	2265	15.5	73	0	1
26	4	116	75	2246	14	74	0	1
30	4	88	76	2065	14.5	71	0	1
24	4	90	75	2108	15.5	74	0	1
29	4	68	49	1867	19.5	73	0	1
28	4	107	86	2464	15.5	76	0	1
37.3	4	91	69	2130	14.7	79	0	1
31	4	79	67	2000	16	74	0	1
12	8	400	167	4906	12.5	73	0	0
13	8	400	170	4746	12	71	0	0
15.5	8	351	142	4054	14.3	79	0	0
29.9	4	98	65	2380	20.7	81	0	0
34.4	4	98	65	2045	16.2	81	0	0
13	8	302	130	3870	15	76	0	0
10	8	360	215	4615	14	70	0	0
26.4	4	140	88	2870	18.1	80	0	0
20.2	6	200	85	2965	15.8	78	0	0
25.1	4	140	88	2720	15.4	78	0	0
22.3	4	140	88	2890	17.3	79	0	0
24	4	140	92	2865	16.4	82	0	0
36.1	4	98	66	1800	14.4	78	0	0
18.1	8	302	139	3205	11.2	78	0	0
14	8	351	153	4129	13	72	0	0
14	8	351	153	4154	13.5	71	0	0
15	8	429	198	4341	10	70	0	0
14	8	302	137	4042	14.5	73	0	0
14.5	8	351	152	4215	12.8	76	0	0
16	8	302	140	4141	14	74	0	0
13	8	302	140	4294	16	72	0	0
14	8	302	140	4638	16	74	0	0
18.5	6	250	98	3525	19	77	0	0
18	6	250	78	3574	21	76	0	0
20.2	6	200	88	3060	17.1	81	0	0
22	6	232	112	2835	14.7	82	0	0
13	8	351	158	4363	13	73	0	0
14	8	351	148	4657	13.5	75	0	0
17.6	8	302	129	3725	13.4	79	0	0
15	6	250	72	3158	19.5	75	0	0
18	6	250	88	3021	16.5	73	0	0
21	6	200	85	2587	16	70	0	0
24	6	200	81	3012	17.6	76	0	0
18	6	250	88	3139	14.5	71	0	0
27	4	140	86	2790	15.6	82	0	0
13	8	302	129	3169	12	75	0	0
25.5	4	140	89	2755	15.8	77	0	0
18	6	171	97	2984	14.5	75	0	0
19	4	122	85	2310	18.5	73	0	0
23	4	140	83	2639	17	75	0	0
26	4	122	80	2451	16.5	74	0	0
26.5	4	140	72	2565	13.6	76	0	0
22	4	122	86	2395	16	72	0	0
21	4	122	86	2226	16.5	72	0	0
28	4	120	79	2625	18.6	82	0	0
16	8	351	149	4335	14.5	77	0	0
17	8	302	140	3449	10.5	70	0	0
19	6	250	88	3302	15.5	71	0	0
9	8	304	193	4732	18.5	70	0	0
32.4	4	107	72	2290	17	80	1	0
36	4	107	75	2205	14.5	82	1	0
31.5	4	98	68	2045	18.5	77	1	0
29.5	4	98	68	2135	16.6	78	1	0
24	4	120	97	2489	15	74	1	0
33	4	91	53	1795	17.4	76	1	0
38	4	91	67	1965	15	82	1	0
32	4	91	67	1965	15.7	82	1	0
35.1	4	81	60	1760	16.1	81	1	0
44.6	4	91	67	1850	13.8	80	1	0
33	4	91	53	1795	17.5	75	1	0
36.1	4	91	60	1800	16.4	78	1	0
33.7	4	107	75	2210	14.4	81	1	0
34.1	4	86	65	1975	15.2	79	1	0
18	3	70	90	2124	13.5	73	1	0
31.3	4	120	75	2542	17.5	80	1	0
31.6	4	120	74	2635	18.3	81	1	0
46.6	4	86	65	2110	17.9	80	1	0
34.1	4	91	68	1985	16	81	1	0
31	4	91	68	1970	17.6	82	1	0
37	4	91	68	2025	18.2	82	1	0
32.8	4	78	52	1985	19.4	78	1	0
21.5	3	80	110	2720	13.5	77	1	0
23.7	3	70	100	2420	12.5	80	1	0
19	3	70	97	2330	13.5	72	1	0
25.4	5	183	77	3530	20.1	79	0	1
30	4	146	67	3250	21.8	80	0	1
16.5	6	168	120	3820	16.7	76	0	1
23	4	122	86	2220	14	71	0	0
21	6	155	107	2472	14	73	0	0
15	8	302	130	4295	14.9	77	0	0
16.5	8	351	138	3955	13.2	79	0	0
36	4	98	70	2125	17.3	82	0	0
11	8	429	208	4633	11	72	0	0
12	8	429	198	4952	11.5	73	0	0
15	6	250	72	3432	21	75	0	0
20.2	8	302	139	3570	12.8	78	0	0
20.8	6	200	85	3070	16.7	78	0	0
19.8	6	200	85	2990	18.2	79	0	0
36	4	120	88	2160	14.5	82	1	0
38	6	262	85	3015	17	82	0	0
26.6	8	350	105	3725	19	81	0	0
19.9	8	260	110	3365	15.5	78	0	0
23.9	8	260	90	3420	22.2	79	0	0
17	8	260	110	4060	19	77	0	0
12	8	350	160	4456	13.5	72	0	0
11	8	350	180	3664	11	73	0	0
26.8	6	173	115	2700	12.9	79	0	0
23.8	4	151	85	2855	17.6	78	0	0
12	8	350	180	4499	12.5	73	0	0
25	4	116	81	2220	16.9	76	0	1
28	4	116	90	2123	14	71	0	1
24	4	116	75	2158	15.5	73	0	1
26	4	97	78	2300	14.5	74	0	1
30	4	79	70	2074	19.5	71	0	1
19	4	120	88	3270	21.9	76	0	1
23	4	120	88	2957	17	75	0	1
25	4	110	87	2672	17.5	70	0	1
27.2	4	141	71	3190	24.8	79	0	1
21	4	120	87	2979	19.5	72	0	1
28.1	4	141	80	3230	20.4	81	0	1
16.2	6	163	133	3410	15.8	78	0	1
14	8	340	160	3609	8	70	0	0
25.5	4	122	96	2300	15.5	77	0	0
39	4	86	64	1875	16.4	81	0	0
26	4	91	70	1955	20.5	71	0	0
13	8	360	170	4654	13	73	0	0
20	6	198	95	3102	16.5	74	0	0
22	6	198	95	2833	15.5	70	0	0
23	6	198	95	2904	16	73	0	0
18	6	225	95	3785	19	75	0	0
14	8	318	150	4237	14.5	73	0	0
14	8	318	150	4096	13	71	0	0
14	8	440	215	4312	8.5	70	0	0
15	8	318	150	4135	13.5	72	0	0
16	8	318	150	4498	14.5	75	0	0
34.2	4	105	70	2200	13.2	79	0	0
34.7	4	105	63	2215	14.9	81	0	0
38	4	105	63	2125	14.7	82	0	0
34.5	4	105	70	2150	14.9	79	0	0
27.2	4	135	84	2490	15.7	81	0	0
30	4	135	84	2385	12.9	81	0	0
23.2	4	156	105	2745	16.7	78	0	0
18	8	318	150	3436	11	70	0	0
16	6	225	105	3439	15.5	71	0	0
14	8	318	150	4077	14	72	0	0
18	6	225	105	3613	16.5	74	0	0
18	6	225	105	3121	16.5	73	0	0
22	6	225	100	3233	15.4	76	0	0
19	6	225	95	3264	16	75	0	0
20.5	6	225	100	3430	17.2	78	0	0
19	6	225	100	3630	17.7	77	0	0
13	8	318	150	3940	13.2	76	0	0
23	4	140	78	2592	18.5	75	0	0
14	8	400	175	4385	12	72	0	0
14	8	455	225	4425	10	70	0	0
16	8	400	170	4668	11.5	75	0	0
14	8	400	175	4464	11.5	71	0	0
19	6	250	100	3282	15	71	0	0
16	8	400	230	4278	9.5	73	0	0
16	8	400	180	4220	11.1	77	0	0
31	4	112	85	2575	16.2	82	0	0
21.5	6	231	115	3245	15.4	79	0	0
27	4	151	90	2735	18	82	0	0
33.5	4	151	90	2556	13.2	79	0	0
19.2	6	231	105	3535	19.2	78	0	0
13	8	400	175	5140	12	71	0	0
24.5	4	151	88	2740	16	77	0	0
18.5	6	250	110	3645	16.2	76	0	0
26	4	96	69	2189	18	72	0	1
27	4	101	83	2202	15.3	76	0	1
36	4	79	58	1825	18.6	77	0	1
25	4	104	95	2375	17.5	70	0	1
21.6	4	121	115	2795	15.7	78	0	1
24	4	121	110	2660	14	73	0	1
25	4	121	115	2671	13.5	75	0	1
26	4	108	93	2391	15.5	74	1	0
32.3	4	97	67	2065	17.8	81	1	0
30	4	97	67	1985	16.4	77	1	0
33.8	4	97	67	2145	18	80	1	0
20	4	97	88	2279	19	73	1	0
32	4	144	96	2665	13.9	82	1	0
21.1	4	134	95	2515	14.8	78	1	0
28	4	97	75	2155	16.4	76	1	0
29	4	97	75	2171	16	75	1	0
32.2	4	108	75	2265	15.2	80	1	0
32.4	4	108	75	2350	16.8	81	1	0
34	4	108	70	2245	16.9	82	1	0
31	4	71	65	1773	19	71	1	0
32	4	71	65	1836	21	74	1	0
27	4	97	88	2100	16.5	72	1	0
26	4	97	75	2265	18.2	77	1	0
38.1	4	89	60	1968	18.8	80	1	0
24	4	134	96	2702	13.5	75	1	0
25	4	113	95	2228	14	71	1	0
27.5	4	134	95	2560	14.2	78	1	0
31	4	76	52	1649	16.5	74	1	0
24	4	113	95	2278	15.5	72	1	0
29.8	4	134	90	2711	15.5	80	1	0
24	4	113	95	2372	15	70	1	0
25.4	6	168	116	2900	12.6	81	1	0
19	6	156	108	2930	15.5	76	1	0
20	6	156	122	2807	13.5	73	1	0
39.1	4	79	58	1755	16.9	81	1	0
37.7	4	89	62	2050	17.3	81	1	0
23	4	120	97	2506	14.5	72	1	0
35	4	122	88	2500	15.1	80	0	1
29.8	4	89	62	1845	15.3	80	0	1
26	4	97	46	1835	20.5	70	0	1
22	4	121	76	2511	18	72	0	1
25	4	90	71	2223	16.5	75	0	1
26	4	79	67	1963	15.5	74	0	1
30.5	4	97	78	2190	14.1	77	0	1
33	4	105	74	2190	14.2	81	0	1
27	4	97	60	1834	19	71	0	1
29	4	90	70	1937	14	75	0	1
29.5	4	97	71	1825	12.2	76	0	1
29	4	97	78	1940	14.5	77	0	1
43.1	4	90	48	1985	21.5	78	0	1
36	4	105	74	1980	15.3	82	0	1
31.5	4	89	71	1990	14.9	78	0	1
26	4	97	46	1950	21	73	0	1
23	4	97	54	2254	23.5	72	0	1
19	4	121	112	2868	15.5	73	0	1
18	4	121	112	2933	14.5	72	0	1
22	4	121	98	2945	14.5	75	0	1
20	4	130	102	3150	15.7	76	0	1
17	6	163	125	3140	13.6	78	0	1
30.7	6	145	76	3160	19.6	81	0	1
43.4	4	90	48	2335	23.7	80	0	1
44	4	97	52	2130	24.6	82	0	1
29	4	90	70	1937	14.2	76	0	1
41.5	4	98	76	2144	14.7	80	0	1
44.3	4	90	48	2085	21.7	80	0	1
31.9	4	89	71	1925	14	79	0	1

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	30 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 30 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117207&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]30 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117207&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117207&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	30 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Multiple Linear Regression - Estimated Regression Equation
MPG[t] = -17.9546020672902 -0.489709424047163Cylin[t] + 0.0239786440278725Displ[t] -0.0181834640388510HP[t] -0.00671038412737677Weight[t] + 0.0791030360112797Accel[t] + 0.77702693910102Year[t] + 2.85322822847746OriginJapan[t] + 2.63000236001736OriginEurope[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
MPG[t] =  -17.9546020672902 -0.489709424047163Cylin[t] +  0.0239786440278725Displ[t] -0.0181834640388510HP[t] -0.00671038412737677Weight[t] +  0.0791030360112797Accel[t] +  0.77702693910102Year[t] +  2.85322822847746OriginJapan[t] +  2.63000236001736OriginEurope[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117207&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]MPG[t] =  -17.9546020672902 -0.489709424047163Cylin[t] +  0.0239786440278725Displ[t] -0.0181834640388510HP[t] -0.00671038412737677Weight[t] +  0.0791030360112797Accel[t] +  0.77702693910102Year[t] +  2.85322822847746OriginJapan[t] +  2.63000236001736OriginEurope[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117207&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117207&T=1

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Estimated Regression Equation
MPG[t] = -17.9546020672902 -0.489709424047163Cylin[t] + 0.0239786440278725Displ[t] -0.0181834640388510HP[t] -0.00671038412737677Weight[t] + 0.0791030360112797Accel[t] + 0.77702693910102Year[t] + 2.85322822847746OriginJapan[t] + 2.63000236001736OriginEurope[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	-17.9546020672902	4.676934	-3.839	0.000145	7.2e-05
Cylin	-0.489709424047163	0.321231	-1.5245	0.128215	0.064107
Displ	0.0239786440278725	0.007653	3.1331	0.001863	0.000931
HP	-0.0181834640388510	0.013709	-1.3264	0.185488	0.092744
Weight	-0.00671038412737677	0.000655	-10.2428	0	0
Accel	0.0791030360112797	0.098218	0.8054	0.421101	0.210551
Year	0.77702693910102	0.051784	15.0051	0	0
OriginJapan	2.85322822847746	0.552736	5.162	0	0
OriginEurope	2.63000236001736	0.566415	4.6432	5e-06	2e-06

\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) & -17.9546020672902 & 4.676934 & -3.839 & 0.000145 & 7.2e-05 \tabularnewline
Cylin & -0.489709424047163 & 0.321231 & -1.5245 & 0.128215 & 0.064107 \tabularnewline
Displ & 0.0239786440278725 & 0.007653 & 3.1331 & 0.001863 & 0.000931 \tabularnewline
HP & -0.0181834640388510 & 0.013709 & -1.3264 & 0.185488 & 0.092744 \tabularnewline
Weight & -0.00671038412737677 & 0.000655 & -10.2428 & 0 & 0 \tabularnewline
Accel & 0.0791030360112797 & 0.098218 & 0.8054 & 0.421101 & 0.210551 \tabularnewline
Year & 0.77702693910102 & 0.051784 & 15.0051 & 0 & 0 \tabularnewline
OriginJapan & 2.85322822847746 & 0.552736 & 5.162 & 0 & 0 \tabularnewline
OriginEurope & 2.63000236001736 & 0.566415 & 4.6432 & 5e-06 & 2e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117207&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]-17.9546020672902[/C][C]4.676934[/C][C]-3.839[/C][C]0.000145[/C][C]7.2e-05[/C][/ROW]
[ROW][C]Cylin[/C][C]-0.489709424047163[/C][C]0.321231[/C][C]-1.5245[/C][C]0.128215[/C][C]0.064107[/C][/ROW]
[ROW][C]Displ[/C][C]0.0239786440278725[/C][C]0.007653[/C][C]3.1331[/C][C]0.001863[/C][C]0.000931[/C][/ROW]
[ROW][C]HP[/C][C]-0.0181834640388510[/C][C]0.013709[/C][C]-1.3264[/C][C]0.185488[/C][C]0.092744[/C][/ROW]
[ROW][C]Weight[/C][C]-0.00671038412737677[/C][C]0.000655[/C][C]-10.2428[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Accel[/C][C]0.0791030360112797[/C][C]0.098218[/C][C]0.8054[/C][C]0.421101[/C][C]0.210551[/C][/ROW]
[ROW][C]Year[/C][C]0.77702693910102[/C][C]0.051784[/C][C]15.0051[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]OriginJapan[/C][C]2.85322822847746[/C][C]0.552736[/C][C]5.162[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]OriginEurope[/C][C]2.63000236001736[/C][C]0.566415[/C][C]4.6432[/C][C]5e-06[/C][C]2e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117207&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117207&T=2

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	-17.9546020672902	4.676934	-3.839	0.000145	7.2e-05
Cylin	-0.489709424047163	0.321231	-1.5245	0.128215	0.064107
Displ	0.0239786440278725	0.007653	3.1331	0.001863	0.000931
HP	-0.0181834640388510	0.013709	-1.3264	0.185488	0.092744
Weight	-0.00671038412737677	0.000655	-10.2428	0	0
Accel	0.0791030360112797	0.098218	0.8054	0.421101	0.210551
Year	0.77702693910102	0.051784	15.0051	0	0
OriginJapan	2.85322822847746	0.552736	5.162	0	0
OriginEurope	2.63000236001736	0.566415	4.6432	5e-06	2e-06

Multiple Linear Regression - Regression Statistics
Multiple R	0.907854321965764
R-squared	0.824199469911917
Adjusted R-squared	0.820527396176396
F-TEST (value)	224.450686253692
F-TEST (DF numerator)	8
F-TEST (DF denominator)	383
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	3.30652953119832
Sum Squared Residuals	4187.39167808295

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.907854321965764 \tabularnewline
R-squared & 0.824199469911917 \tabularnewline
Adjusted R-squared & 0.820527396176396 \tabularnewline
F-TEST (value) & 224.450686253692 \tabularnewline
F-TEST (DF numerator) & 8 \tabularnewline
F-TEST (DF denominator) & 383 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.30652953119832 \tabularnewline
Sum Squared Residuals & 4187.39167808295 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117207&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.907854321965764[/C][/ROW]
[ROW][C]R-squared[/C][C]0.824199469911917[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.820527396176396[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]224.450686253692[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]8[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]383[/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]3.30652953119832[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]4187.39167808295[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117207&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117207&T=3

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Regression Statistics
Multiple R	0.907854321965764
R-squared	0.824199469911917
Adjusted R-squared	0.820527396176396
F-TEST (value)	224.450686253692
F-TEST (DF numerator)	8
F-TEST (DF denominator)	383
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	3.30652953119832
Sum Squared Residuals	4187.39167808295

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	13	15.5306503833598	-2.53065038335978
2	15	13.2538181965878	1.74618180341217
3	17	14.9048047326538	2.09519526734622
4	19.4	23.4620154597908	-4.06201545979085
5	24.3	25.6716663386293	-1.37166633862928
6	18.1	22.0317630822510	-3.93176308225096
7	20.2	23.9490743078974	-3.74907430789742
8	18	22.0460911622980	-4.04609116229804
9	19	21.3739407518168	-2.37394075181683
10	20	22.8404500605893	-2.84045006058927
11	21	20.0517138944238	0.948286105576179
12	18	19.1184727641080	-1.11847276410803
13	18	21.0783742744385	-3.07837427443855
14	19	22.1506581151441	-3.15065811514414
15	22.5	22.7784008119154	-0.278400811915418
16	18	19.6540963803791	-1.65409638037907
17	14	15.6818316717548	-1.68183167175481
18	15	18.0436958250198	-3.04369582501984
19	15.5	16.8022522997112	-1.30225229971122
20	16	17.8451834943905	-1.84518349439046
21	18	17.1831071225406	0.816892877459366
22	14	12.8496960403855	1.15030395961445
23	15	13.5076232606422	1.49237673935781
24	19	21.1084036511582	-2.10840365115816
25	17.5	22.6020273578914	-5.10202735789141
26	16	14.9940841789004	1.00591582109956
27	27.4	26.1882471498395	1.21175285016050
28	24	22.8784120737337	1.12158792626626
29	20	24.2996300298262	-4.29963002982615
30	23	25.1324687096457	-2.13246870964574
31	34.3	32.3538434985713	1.94615650142872
32	20.3	26.3706111861237	-6.0706111861237
33	36.4	27.8506493782056	8.54935062179443
34	29	27.472093405058	1.52790659494201
35	26	23.9529226341737	2.04707736582633
36	21.5	27.0143919201809	-5.51439192018086
37	17	16.3667405177442	0.633259482255848
38	22.4	23.919075355761	-1.51907535576099
39	13	13.5768728435653	-0.576872843565337
40	25	26.6985124549422	-1.69851245494223
41	13	10.9076208453559	2.09237915464413
42	20.6	21.9137753031104	-1.31377530311037
43	12	9.3167143001292	2.68328569987079
44	14	19.4213968443725	-5.42139684437254
45	16.9	17.0082996542520	-0.108299654251955
46	13	10.5054922840415	2.49450771595848
47	30	27.8344340497555	2.16556595024448
48	17.7	20.1967452060727	-2.49674520607275
49	21	21.7167357242395	-0.716735724239508
50	20.5	20.9217944178898	-0.421794417889803
51	26.6	28.7345341875963	-2.13453418759629
52	15	14.0400984524762	0.95990154752379
53	28.4	26.8048748662984	1.59512513370155
54	23	20.838337864039	2.161662135961
55	16.5	13.8669360525985	2.63306394740150
56	25	24.7442663414816	0.255733658518398
57	16	16.7825983257136	-0.782598325713552
58	15	13.4740030756361	1.52599692436391
59	27	27.3598820747507	-0.359882074750678
60	13	12.7087087875538	0.291291212446185
61	17	19.9127985382105	-2.91279853821053
62	17.5	17.5881785298979	-0.0881785298979375
63	28	28.9581013925123	-0.95810139251228
64	34	30.2407172016434	3.75928279835664
65	27	28.6441349120428	-1.64413491204281
66	13	12.6795438972801	0.320456102719870
67	17	17.3395969658199	-0.339596965819891
68	18	14.9532521187173	3.04674788128267
69	16	16.7562387115656	-0.756238711565572
70	17.5	14.6936417463256	2.80635825367440
71	29	28.3337079207863	0.666292079213678
72	30	28.6524153461796	1.34758465382042
73	30.5	28.7037371945256	1.79626280547436
74	32.1	30.3258627047508	1.77413729524917
75	23.5	26.9053493347983	-3.40534933479826
76	28	27.5677702503861	0.432229749613906
77	28.8	26.0298941261463	2.77010587385372
78	17.5	20.6094333241187	-3.10943332411869
79	11	9.29028011968456	1.70971988031544
80	13	11.734970670678	1.26502932932201
81	14	11.3941186998565	2.60588130014354
82	14	10.9004654110139	3.0995345889861
83	13	14.8739397869971	-1.87393978699707
84	20.5	23.0519556937217	-2.55195569372168
85	19.2	20.6378264408747	-1.43782644087466
86	15	14.8972704217684	0.102729578231579
87	15.5	16.2131580942661	-0.713158094266136
88	19.2	21.4738023721633	-2.27380237216328
89	15	14.2431636790237	0.75683632097635
90	20	20.1407103758097	-0.140710375809735
91	15	19.7423596482482	-4.74235964824823
92	18	19.5239889834764	-1.52398898347638
93	22	20.8936620860624	1.10633791393758
94	16	19.4336380245463	-3.43363802454635
95	20	23.1369024756969	-3.1369024756969
96	21	24.2882044563889	-3.28820445638888
97	25	23.866759251385	1.13324074861498
98	22	22.6476263712896	-0.647626371289558
99	28	23.009758706893	4.99024129310699
100	24.5	27.6264127248051	-3.12641272480513
101	13	16.6763218317546	-3.6763218317546
102	10	8.06626378495905	1.93373621504095
103	31	28.4475379030899	2.55246209691009
104	15.5	16.0380419833115	-0.538041983311481
105	26	29.6712100724733	-3.67121007247328
106	17.6	23.9575533150052	-6.35755331500522
107	18.5	20.0070689798017	-1.50706897980174
108	13	10.588312251613	2.41168774838699
109	13	11.5257309382542	1.47426906174578
110	35	29.1805095432415	5.8194904567585
111	23.9	29.6777137526534	-5.77771375265345
112	32.9	30.5371532074897	2.36284679251029
113	31.8	33.1449785879386	-1.34497858793860
114	40.8	33.3180709555757	7.48192904442429
115	37	35.0168203590748	1.98317964092515
116	32.7	27.1252764884024	5.57472351159762
117	37.2	33.7312060543633	3.46879394563672
118	38	35.5140148364818	2.48598516351823
119	27.2	30.3664834788258	-3.16648347882576
120	28	25.5301705881552	2.46982941184484
121	37	31.1359941149569	5.86400588504305
122	22	25.8843992098881	-3.88439920988815
123	24	26.5732955331413	-2.57329553314133
124	32	29.3828763834963	2.61712361650369
125	22	25.7857926475817	-3.78579264758167
126	24.2	27.6486144312360	-3.44861443123596
127	32	30.7502652950378	1.24973470496223
128	31	29.5335113819027	1.46648861809732
129	39.4	31.8940533006677	7.50594669933228
130	33.5	31.8134389126685	1.68656108733151
131	27	24.9113336682058	2.08866633179415
132	27	25.6883606073069	1.31163939269313
133	29	29.8344038618583	-0.834403861858288
134	25.8	28.6514093853129	-2.85140938531294
135	18.6	20.2978927326112	-1.69789273261117
136	19.1	23.8193976980333	-4.71939769803327
137	20.6	22.6535031692065	-2.05350316920646
138	20	18.6385485508377	1.36145144916232
139	15	15.4941717677438	-0.494171767743808
140	36	30.6372042935678	5.36279570643215
141	26	26.3222285940260	-0.322228594026039
142	27.9	26.4301282707790	1.46987172922096
143	28	25.2682996410793	2.73170035892069
144	28	23.5930041319439	4.40699586805606
145	25	23.9942154787929	1.00578452120712
146	35.7	30.6556165317611	5.04438346823888
147	33.5	28.0920053550792	5.40799464492083
148	16	14.9912890814838	1.00871091851615
149	15	15.3920453907817	-0.392045390781749
150	14	11.6851141592778	2.31488584072215
151	13	17.9894092129040	-4.98940921290402
152	11	7.98927737009596	3.01072262990404
153	15	17.8099160369132	-2.80991603691325
154	19.4	19.7962229852331	-0.396222985233084
155	17.5	17.5206919792937	-0.0206919792937378
156	12	6.86716391516478	5.13283608483522
157	15.5	16.2501246723559	-0.750124672355856
158	30.9	28.0314967245269	2.86850327547308
159	32	31.0297388527053	0.970261147294687
160	18.2	20.1848868244501	-1.98488682445013
161	26	26.1800015118144	-0.180001511814401
162	26	27.6702387484031	-1.67023874840313
163	30	25.9037034793416	4.09629652065838
164	24	28.0914815672734	-4.09148156727336
165	29	29.1933092433122	-0.19330924331219
166	28	27.4642575401757	0.535742459824258
167	37.3	31.8987848114281	5.40121518857187
168	31	28.7374571990399	2.2625428009601
169	12	9.47315163259846	2.52684836740154
170	13	8.8986573046545	4.10134269534549
171	15.5	19.2745790521554	-3.77457905215541
172	29.9	29.8604428781868	0.0395571218131987
173	34.4	31.7524578988073	2.64754210119274
174	13	17.2768290505980	-4.27682905059803
175	10	7.3814951153992	2.6185048846008
176	26.4	26.1785431993189	0.221456800681091
177	20.2	24.3189160318847	-4.11891603188470
178	25.1	25.4174687429929	-0.317468742992924
179	22.3	25.2040261488613	-2.90402614886133
180	24	27.5589399807833	-3.55893998078325
181	36.1	30.9048522638523	5.19514773614765
182	18.1	22.8290456603131	-4.7290456603131
183	14	13.0292596176530	0.970740382347014
184	14	12.1240245933732	1.87597540662681
185	15	10.8673735488390	4.13262645116101
186	14	13.6247263971086	0.375273602891430
187	14.5	15.5626371959393	-1.06263719593926
188	16	13.6433233974771	2.3566766025229
189	13	11.2207868198090	1.77921318019103
190	14	10.4664685581934	3.5335314418066
191	18.5	20.9997508655774	-2.49975086557735
192	18	20.4157904570344	-2.41579045703445
193	20.2	26.0607939117851	-5.86079391178508
194	22	28.4887234650783	-6.4887234650783
195	13	12.1451393507536	0.854860649246412
196	14	11.947726453901	2.05227354609899
197	17.6	20.4725341727915	-2.87253417279153
198	15	22.4207295451384	-7.42072954513835
199	18	21.2577537597315	-3.25775375973147
200	21	20.6550463264272	0.344953673572788
201	24	22.6645934206717	1.33540657932834
202	18	18.7536684824764	-0.75366848247641
203	27	28.1080371457606	-1.10803714576059
204	13	20.9846557407931	-7.98465574079314
205	25.5	24.4190361097994	1.08096389020062
206	18	20.8439217240723	-2.84392172407230
207	19	24.1517457509621	-5.15174575096211
208	23	23.8474112178197	-0.847411217819685
209	26	23.9153197762747	2.08468022372530
210	26.5	25.0520743643356	1.44792563566440
211	22	22.588395106967	-0.588395106967016
212	21	23.7620015424993	-2.76200154249933
213	28	29.1002710025261	-1.10027100252611
214	16	15.7234435930908	0.276556406909202
215	17	14.9019408311783	2.09805916882174
216	19	17.7389789057253	1.26102109427472
217	9	6.00957597784074	2.99042402215926
218	32.4	32.3364210537643	0.0635789462356846
219	36	34.2085496006486	1.79145039935137
220	31.5	31.62496496159	-0.124964961590032
221	29.5	31.6477615608057	-2.14776156080571
222	24	26.0378226771787	-2.03782267717872
223	33	32.5434221671085	0.456577832891547
224	38	35.6204027170895	2.37959728291046
225	32	35.6757748422974	-3.67577484229744
226	35.1	36.1935156717064	-1.09351567170639
227	44.6	34.7431193703223	9.8568806296777
228	33	31.7743055316086	1.22569446839144
229	36.1	33.8575368403904	2.24246315960963
230	33.7	33.3900604373096	0.309939562690409
231	34.1	33.1545123736533	0.945487626346694
232	18	27.0094928614788	-9.0094928614788
233	31.3	30.9421277519168	0.357872248083203
234	31.6	31.1765548600197	0.423445139980348
235	46.6	33.2392156527889	13.3607843472111
236	34.1	34.7700876674134	-0.670087667413412
237	31	35.7743352260431	-4.77433522604314
238	37	35.4527259206442	1.54727407935582
239	32.8	32.687170224808	0.112829775192019
240	21.5	25.9943288374680	-4.49432883746803
241	23.7	30.2014700570826	-6.50147005708263
242	19	24.7228425438662	-5.7228425438662
243	25.4	24.5022615417679	0.89773845823214
244	30	27.0770054331579	2.92299456684206
245	16.5	18.3249409669513	-1.82494096695134
246	23	22.8274793181344	0.172520681865629
247	21	22.1205400562471	-1.12054005624706
248	15	15.1940324319628	-0.194032431962800
249	16.5	19.9246275973087	-3.42462759730871
250	36	31.9887501271363	4.01124987286371
251	11	10.3592636574698	0.640736342530218
252	12	9.21706421833176	2.78293578166824
253	15	20.7007388482540	-5.70073884825403
254	20.2	20.5063203114386	-0.30632031143863
255	20.8	23.6855184309203	-2.88551843092029
256	19.8	25.1180306542284	-5.31803065422837
257	36	34.5858542262379	1.41414577376214
258	38	28.6731041548616	9.32689584513842
259	26.6	24.0569431029270	2.54305689707296
260	19.9	21.6157446627374	-1.71574466273736
261	23.9	22.9173600968853	0.982639903114749
262	17	16.4518613811490	0.548138618851039
263	12	10.7232526337066	1.27674736629341
264	11	16.2534769308848	-5.25347693088479
265	26.8	25.4518686503898	1.34813134961023
266	23.8	25.003909041445	-1.20390904144503
267	12	10.7689607385421	1.23103926145789
268	25	29.5190606341166	-4.51906063411657
269	28	25.8917832181846	2.10821678181535
270	24	27.6023801665282	-3.60238016652819
271	26	26.8372848948843	-0.837284894884293
272	30	26.1321181902339	3.86788180976612
273	19	22.8373028082669	-3.8373028082669
274	23	23.7730212245795	-0.773021224579534
275	25	21.6182945471426	3.38170545285742
276	27.2	26.7472835734386	0.452716426561396
277	21	21.5102530105412	-0.510253010541234
278	28.1	27.5212175517463	0.578782448253719
279	16.2	22.2027813523233	-6.00278135232327
280	14	14.1780409730519	-0.178040973051911
281	25.5	26.8896301361788	-1.38963013617876
282	39	32.6394835433679	6.36051645663205
283	26	24.6674983057201	1.33250169427990
284	13	10.1900237974716	2.80997620252841
285	20	20.1170658467936	-0.117065846793644
286	22	18.7349483846426	3.26505161535737
287	23	20.6291434469076	2.37085655309242
288	18	17.1560814056771	0.843918594322912
289	14	12.463474764211	1.53652523578900
290	14	11.7369304939522	2.26306950604784
291	14	10.8979663301621	3.10203366983787
292	15	12.2918039700911	2.70819602990887
293	16	12.2661183851677	3.7338816148323
294	34.2	28.9979185608288	5.20208143917117
295	34.7	30.7130760866114	3.98692391338865
296	38	32.078216989974	5.92178301002597
297	34.5	29.4679129284168	5.03208707158315
298	27.2	29.2685094564121	-2.06850945641207
299	30	29.7516112889550	0.248388711044954
300	23.2	25.4270825024087	-2.22708250240866
301	18	15.2305510068972	2.76944899310276
302	16	15.9110712909174	0.0889287090826203
303	14	12.7205577674846	1.27944223251538
304	18	17.1536483060682	0.846351693931836
305	18	19.6781303576365	-1.67813035763651
306	22	21.2615521332552	0.738447866744777
307	19	20.4148824280065	-1.41488242800655
308	20.5	21.6360458031843	-1.13604580318434
309	19	19.5564935566136	-0.55649355661361
310	13	16.6847057205303	-3.68470572053029
311	23	24.3723711460176	-1.37237114601757
312	14	12.0072155935443	1.99278440645572
313	14	10.4361924978150	3.56380750218495
314	16	12.4906235049883	3.50937649501166
315	14	10.6605167903749	3.33948320962514
316	19	17.6154335018010	1.38456649819904
317	16	12.3044055221096	3.69559447789039
318	16	16.8374536174621	-0.837453617462145
319	31	28.9450129860118	2.05498701398821
320	21.5	23.3832282446142	-1.88322824461423
321	27	28.8579867873446	-1.85798678734458
322	33.5	27.3483701559878	6.15162984401218
323	19.2	21.1426160858053	-1.94261608580532
324	13	6.1638486382738	6.8361513617262
325	24.5	24.8174610272577	-0.317461027257735
326	18.5	18.9777877618933	-0.477787761893321
327	26	26.4446168131823	-0.44461681318234
328	27	29.1172361022955	-2.11723610229552
329	36	32.6121743086129	3.38782569138712
330	25	23.3219390564954	1.67806094350457
331	21.6	26.6213754386819	-5.02137543868186
332	24	23.5985847593477	0.401415240652298
333	25	24.9483555739487	0.0516444260512951
334	26	26.5199819674882	-0.519981967488218
335	32.3	34.5376977302497	-2.23769773024966
336	30	31.8556764536199	-1.85567645361993
337	33.8	33.2396606681608	0.560339331839241
338	20	26.5985309125805	-6.59853091258053
339	32	31.5796681646640	0.420331835336043
340	21.1	29.3277077835367	-8.22770778353667
341	28	29.7924165005541	-1.79241650055405
342	29	28.8763822010105	0.123617798989512
343	32.2	32.3312234440398	-0.131223444039747
344	32.4	32.6644325899318	-0.264432589931794
345	34	34.2448774862028	-0.244877486202757
346	31	28.2347063310000	2.76529366899997
347	32	30.3012390203009	1.69876097969909
348	27	26.8249051422518	0.175094857748248
349	26	29.9736866504639	-3.97368665046393
350	38.1	34.4261361835644	3.67386381643556
351	24	25.6207677235606	-1.62076772356064
352	25	25.2475655009923	-0.247565500992309
353	27.5	28.9782786761979	-1.47827867619795
354	31	31.556395442714	-0.556395442714031
355	24	25.8077277877414	-1.80772778774141
356	29.8	29.712815818175	0.0871841818249851
357	24	23.5833462835603	0.416653716439685
358	25.4	28.3552663366123	-2.95526633661232
359	19	24.3559429056950	-5.35594290569497
360	20	22.4374647674928	-2.43746476749277
361	39.1	36.2787596611743	2.82124033882574
362	37.7	34.4978901421259	3.20210985787405
363	23	24.3301407508056	-1.33014075080563
364	35	30.6224629859301	4.37753701406987
365	29.8	34.7150600086545	-4.9150600086545
366	26	27.9059948230213	-1.90599482302132
367	22	24.7560549765919	-2.75605497659188
368	25	28.2486512238927	-3.24865122389273
369	26	28.9461898937472	-2.9461898937472
370	30.5	29.8748667517943	0.625133248205712
371	33	33.2554478201779	-0.255447820177882
372	27	28.3165090956889	-1.31650909568888
373	29	29.9882469583331	-0.98824695833314
374	29.5	31.5241184990363	-2.02411849903631
375	29	31.584103998043	-2.58410399804299
376	43.1	32.9905383164614	10.1094616835386
377	36	35.5286687656404	0.471331234359568
378	31.5	31.9927080412287	-0.492708041228663
379	26	29.5049329836817	-3.50493298368169
380	23	26.7402391475755	-3.74023914757553
381	19	22.2851124867926	-3.28511248679255
382	18	20.9928075434008	-2.99280754340076
383	22	23.4979322477192	-1.49793224771922
384	20	23.137328024017	-3.13732802401699
385	17	23.986026099801	-6.986026099801
386	30.7	27.1168915960262	3.58310840397380
387	43.4	32.3699844293064	11.0300155706936
388	44	35.4659764380706	8.53402356192944
389	29	30.7810945046364	-1.78109450463642
390	41.5	32.622432632669	8.87756736733098
391	44.3	33.8893743891281	10.4106256108719
392	31.9	33.134717216199	-1.23471721619902

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 13 & 15.5306503833598 & -2.53065038335978 \tabularnewline
2 & 15 & 13.2538181965878 & 1.74618180341217 \tabularnewline
3 & 17 & 14.9048047326538 & 2.09519526734622 \tabularnewline
4 & 19.4 & 23.4620154597908 & -4.06201545979085 \tabularnewline
5 & 24.3 & 25.6716663386293 & -1.37166633862928 \tabularnewline
6 & 18.1 & 22.0317630822510 & -3.93176308225096 \tabularnewline
7 & 20.2 & 23.9490743078974 & -3.74907430789742 \tabularnewline
8 & 18 & 22.0460911622980 & -4.04609116229804 \tabularnewline
9 & 19 & 21.3739407518168 & -2.37394075181683 \tabularnewline
10 & 20 & 22.8404500605893 & -2.84045006058927 \tabularnewline
11 & 21 & 20.0517138944238 & 0.948286105576179 \tabularnewline
12 & 18 & 19.1184727641080 & -1.11847276410803 \tabularnewline
13 & 18 & 21.0783742744385 & -3.07837427443855 \tabularnewline
14 & 19 & 22.1506581151441 & -3.15065811514414 \tabularnewline
15 & 22.5 & 22.7784008119154 & -0.278400811915418 \tabularnewline
16 & 18 & 19.6540963803791 & -1.65409638037907 \tabularnewline
17 & 14 & 15.6818316717548 & -1.68183167175481 \tabularnewline
18 & 15 & 18.0436958250198 & -3.04369582501984 \tabularnewline
19 & 15.5 & 16.8022522997112 & -1.30225229971122 \tabularnewline
20 & 16 & 17.8451834943905 & -1.84518349439046 \tabularnewline
21 & 18 & 17.1831071225406 & 0.816892877459366 \tabularnewline
22 & 14 & 12.8496960403855 & 1.15030395961445 \tabularnewline
23 & 15 & 13.5076232606422 & 1.49237673935781 \tabularnewline
24 & 19 & 21.1084036511582 & -2.10840365115816 \tabularnewline
25 & 17.5 & 22.6020273578914 & -5.10202735789141 \tabularnewline
26 & 16 & 14.9940841789004 & 1.00591582109956 \tabularnewline
27 & 27.4 & 26.1882471498395 & 1.21175285016050 \tabularnewline
28 & 24 & 22.8784120737337 & 1.12158792626626 \tabularnewline
29 & 20 & 24.2996300298262 & -4.29963002982615 \tabularnewline
30 & 23 & 25.1324687096457 & -2.13246870964574 \tabularnewline
31 & 34.3 & 32.3538434985713 & 1.94615650142872 \tabularnewline
32 & 20.3 & 26.3706111861237 & -6.0706111861237 \tabularnewline
33 & 36.4 & 27.8506493782056 & 8.54935062179443 \tabularnewline
34 & 29 & 27.472093405058 & 1.52790659494201 \tabularnewline
35 & 26 & 23.9529226341737 & 2.04707736582633 \tabularnewline
36 & 21.5 & 27.0143919201809 & -5.51439192018086 \tabularnewline
37 & 17 & 16.3667405177442 & 0.633259482255848 \tabularnewline
38 & 22.4 & 23.919075355761 & -1.51907535576099 \tabularnewline
39 & 13 & 13.5768728435653 & -0.576872843565337 \tabularnewline
40 & 25 & 26.6985124549422 & -1.69851245494223 \tabularnewline
41 & 13 & 10.9076208453559 & 2.09237915464413 \tabularnewline
42 & 20.6 & 21.9137753031104 & -1.31377530311037 \tabularnewline
43 & 12 & 9.3167143001292 & 2.68328569987079 \tabularnewline
44 & 14 & 19.4213968443725 & -5.42139684437254 \tabularnewline
45 & 16.9 & 17.0082996542520 & -0.108299654251955 \tabularnewline
46 & 13 & 10.5054922840415 & 2.49450771595848 \tabularnewline
47 & 30 & 27.8344340497555 & 2.16556595024448 \tabularnewline
48 & 17.7 & 20.1967452060727 & -2.49674520607275 \tabularnewline
49 & 21 & 21.7167357242395 & -0.716735724239508 \tabularnewline
50 & 20.5 & 20.9217944178898 & -0.421794417889803 \tabularnewline
51 & 26.6 & 28.7345341875963 & -2.13453418759629 \tabularnewline
52 & 15 & 14.0400984524762 & 0.95990154752379 \tabularnewline
53 & 28.4 & 26.8048748662984 & 1.59512513370155 \tabularnewline
54 & 23 & 20.838337864039 & 2.161662135961 \tabularnewline
55 & 16.5 & 13.8669360525985 & 2.63306394740150 \tabularnewline
56 & 25 & 24.7442663414816 & 0.255733658518398 \tabularnewline
57 & 16 & 16.7825983257136 & -0.782598325713552 \tabularnewline
58 & 15 & 13.4740030756361 & 1.52599692436391 \tabularnewline
59 & 27 & 27.3598820747507 & -0.359882074750678 \tabularnewline
60 & 13 & 12.7087087875538 & 0.291291212446185 \tabularnewline
61 & 17 & 19.9127985382105 & -2.91279853821053 \tabularnewline
62 & 17.5 & 17.5881785298979 & -0.0881785298979375 \tabularnewline
63 & 28 & 28.9581013925123 & -0.95810139251228 \tabularnewline
64 & 34 & 30.2407172016434 & 3.75928279835664 \tabularnewline
65 & 27 & 28.6441349120428 & -1.64413491204281 \tabularnewline
66 & 13 & 12.6795438972801 & 0.320456102719870 \tabularnewline
67 & 17 & 17.3395969658199 & -0.339596965819891 \tabularnewline
68 & 18 & 14.9532521187173 & 3.04674788128267 \tabularnewline
69 & 16 & 16.7562387115656 & -0.756238711565572 \tabularnewline
70 & 17.5 & 14.6936417463256 & 2.80635825367440 \tabularnewline
71 & 29 & 28.3337079207863 & 0.666292079213678 \tabularnewline
72 & 30 & 28.6524153461796 & 1.34758465382042 \tabularnewline
73 & 30.5 & 28.7037371945256 & 1.79626280547436 \tabularnewline
74 & 32.1 & 30.3258627047508 & 1.77413729524917 \tabularnewline
75 & 23.5 & 26.9053493347983 & -3.40534933479826 \tabularnewline
76 & 28 & 27.5677702503861 & 0.432229749613906 \tabularnewline
77 & 28.8 & 26.0298941261463 & 2.77010587385372 \tabularnewline
78 & 17.5 & 20.6094333241187 & -3.10943332411869 \tabularnewline
79 & 11 & 9.29028011968456 & 1.70971988031544 \tabularnewline
80 & 13 & 11.734970670678 & 1.26502932932201 \tabularnewline
81 & 14 & 11.3941186998565 & 2.60588130014354 \tabularnewline
82 & 14 & 10.9004654110139 & 3.0995345889861 \tabularnewline
83 & 13 & 14.8739397869971 & -1.87393978699707 \tabularnewline
84 & 20.5 & 23.0519556937217 & -2.55195569372168 \tabularnewline
85 & 19.2 & 20.6378264408747 & -1.43782644087466 \tabularnewline
86 & 15 & 14.8972704217684 & 0.102729578231579 \tabularnewline
87 & 15.5 & 16.2131580942661 & -0.713158094266136 \tabularnewline
88 & 19.2 & 21.4738023721633 & -2.27380237216328 \tabularnewline
89 & 15 & 14.2431636790237 & 0.75683632097635 \tabularnewline
90 & 20 & 20.1407103758097 & -0.140710375809735 \tabularnewline
91 & 15 & 19.7423596482482 & -4.74235964824823 \tabularnewline
92 & 18 & 19.5239889834764 & -1.52398898347638 \tabularnewline
93 & 22 & 20.8936620860624 & 1.10633791393758 \tabularnewline
94 & 16 & 19.4336380245463 & -3.43363802454635 \tabularnewline
95 & 20 & 23.1369024756969 & -3.1369024756969 \tabularnewline
96 & 21 & 24.2882044563889 & -3.28820445638888 \tabularnewline
97 & 25 & 23.866759251385 & 1.13324074861498 \tabularnewline
98 & 22 & 22.6476263712896 & -0.647626371289558 \tabularnewline
99 & 28 & 23.009758706893 & 4.99024129310699 \tabularnewline
100 & 24.5 & 27.6264127248051 & -3.12641272480513 \tabularnewline
101 & 13 & 16.6763218317546 & -3.6763218317546 \tabularnewline
102 & 10 & 8.06626378495905 & 1.93373621504095 \tabularnewline
103 & 31 & 28.4475379030899 & 2.55246209691009 \tabularnewline
104 & 15.5 & 16.0380419833115 & -0.538041983311481 \tabularnewline
105 & 26 & 29.6712100724733 & -3.67121007247328 \tabularnewline
106 & 17.6 & 23.9575533150052 & -6.35755331500522 \tabularnewline
107 & 18.5 & 20.0070689798017 & -1.50706897980174 \tabularnewline
108 & 13 & 10.588312251613 & 2.41168774838699 \tabularnewline
109 & 13 & 11.5257309382542 & 1.47426906174578 \tabularnewline
110 & 35 & 29.1805095432415 & 5.8194904567585 \tabularnewline
111 & 23.9 & 29.6777137526534 & -5.77771375265345 \tabularnewline
112 & 32.9 & 30.5371532074897 & 2.36284679251029 \tabularnewline
113 & 31.8 & 33.1449785879386 & -1.34497858793860 \tabularnewline
114 & 40.8 & 33.3180709555757 & 7.48192904442429 \tabularnewline
115 & 37 & 35.0168203590748 & 1.98317964092515 \tabularnewline
116 & 32.7 & 27.1252764884024 & 5.57472351159762 \tabularnewline
117 & 37.2 & 33.7312060543633 & 3.46879394563672 \tabularnewline
118 & 38 & 35.5140148364818 & 2.48598516351823 \tabularnewline
119 & 27.2 & 30.3664834788258 & -3.16648347882576 \tabularnewline
120 & 28 & 25.5301705881552 & 2.46982941184484 \tabularnewline
121 & 37 & 31.1359941149569 & 5.86400588504305 \tabularnewline
122 & 22 & 25.8843992098881 & -3.88439920988815 \tabularnewline
123 & 24 & 26.5732955331413 & -2.57329553314133 \tabularnewline
124 & 32 & 29.3828763834963 & 2.61712361650369 \tabularnewline
125 & 22 & 25.7857926475817 & -3.78579264758167 \tabularnewline
126 & 24.2 & 27.6486144312360 & -3.44861443123596 \tabularnewline
127 & 32 & 30.7502652950378 & 1.24973470496223 \tabularnewline
128 & 31 & 29.5335113819027 & 1.46648861809732 \tabularnewline
129 & 39.4 & 31.8940533006677 & 7.50594669933228 \tabularnewline
130 & 33.5 & 31.8134389126685 & 1.68656108733151 \tabularnewline
131 & 27 & 24.9113336682058 & 2.08866633179415 \tabularnewline
132 & 27 & 25.6883606073069 & 1.31163939269313 \tabularnewline
133 & 29 & 29.8344038618583 & -0.834403861858288 \tabularnewline
134 & 25.8 & 28.6514093853129 & -2.85140938531294 \tabularnewline
135 & 18.6 & 20.2978927326112 & -1.69789273261117 \tabularnewline
136 & 19.1 & 23.8193976980333 & -4.71939769803327 \tabularnewline
137 & 20.6 & 22.6535031692065 & -2.05350316920646 \tabularnewline
138 & 20 & 18.6385485508377 & 1.36145144916232 \tabularnewline
139 & 15 & 15.4941717677438 & -0.494171767743808 \tabularnewline
140 & 36 & 30.6372042935678 & 5.36279570643215 \tabularnewline
141 & 26 & 26.3222285940260 & -0.322228594026039 \tabularnewline
142 & 27.9 & 26.4301282707790 & 1.46987172922096 \tabularnewline
143 & 28 & 25.2682996410793 & 2.73170035892069 \tabularnewline
144 & 28 & 23.5930041319439 & 4.40699586805606 \tabularnewline
145 & 25 & 23.9942154787929 & 1.00578452120712 \tabularnewline
146 & 35.7 & 30.6556165317611 & 5.04438346823888 \tabularnewline
147 & 33.5 & 28.0920053550792 & 5.40799464492083 \tabularnewline
148 & 16 & 14.9912890814838 & 1.00871091851615 \tabularnewline
149 & 15 & 15.3920453907817 & -0.392045390781749 \tabularnewline
150 & 14 & 11.6851141592778 & 2.31488584072215 \tabularnewline
151 & 13 & 17.9894092129040 & -4.98940921290402 \tabularnewline
152 & 11 & 7.98927737009596 & 3.01072262990404 \tabularnewline
153 & 15 & 17.8099160369132 & -2.80991603691325 \tabularnewline
154 & 19.4 & 19.7962229852331 & -0.396222985233084 \tabularnewline
155 & 17.5 & 17.5206919792937 & -0.0206919792937378 \tabularnewline
156 & 12 & 6.86716391516478 & 5.13283608483522 \tabularnewline
157 & 15.5 & 16.2501246723559 & -0.750124672355856 \tabularnewline
158 & 30.9 & 28.0314967245269 & 2.86850327547308 \tabularnewline
159 & 32 & 31.0297388527053 & 0.970261147294687 \tabularnewline
160 & 18.2 & 20.1848868244501 & -1.98488682445013 \tabularnewline
161 & 26 & 26.1800015118144 & -0.180001511814401 \tabularnewline
162 & 26 & 27.6702387484031 & -1.67023874840313 \tabularnewline
163 & 30 & 25.9037034793416 & 4.09629652065838 \tabularnewline
164 & 24 & 28.0914815672734 & -4.09148156727336 \tabularnewline
165 & 29 & 29.1933092433122 & -0.19330924331219 \tabularnewline
166 & 28 & 27.4642575401757 & 0.535742459824258 \tabularnewline
167 & 37.3 & 31.8987848114281 & 5.40121518857187 \tabularnewline
168 & 31 & 28.7374571990399 & 2.2625428009601 \tabularnewline
169 & 12 & 9.47315163259846 & 2.52684836740154 \tabularnewline
170 & 13 & 8.8986573046545 & 4.10134269534549 \tabularnewline
171 & 15.5 & 19.2745790521554 & -3.77457905215541 \tabularnewline
172 & 29.9 & 29.8604428781868 & 0.0395571218131987 \tabularnewline
173 & 34.4 & 31.7524578988073 & 2.64754210119274 \tabularnewline
174 & 13 & 17.2768290505980 & -4.27682905059803 \tabularnewline
175 & 10 & 7.3814951153992 & 2.6185048846008 \tabularnewline
176 & 26.4 & 26.1785431993189 & 0.221456800681091 \tabularnewline
177 & 20.2 & 24.3189160318847 & -4.11891603188470 \tabularnewline
178 & 25.1 & 25.4174687429929 & -0.317468742992924 \tabularnewline
179 & 22.3 & 25.2040261488613 & -2.90402614886133 \tabularnewline
180 & 24 & 27.5589399807833 & -3.55893998078325 \tabularnewline
181 & 36.1 & 30.9048522638523 & 5.19514773614765 \tabularnewline
182 & 18.1 & 22.8290456603131 & -4.7290456603131 \tabularnewline
183 & 14 & 13.0292596176530 & 0.970740382347014 \tabularnewline
184 & 14 & 12.1240245933732 & 1.87597540662681 \tabularnewline
185 & 15 & 10.8673735488390 & 4.13262645116101 \tabularnewline
186 & 14 & 13.6247263971086 & 0.375273602891430 \tabularnewline
187 & 14.5 & 15.5626371959393 & -1.06263719593926 \tabularnewline
188 & 16 & 13.6433233974771 & 2.3566766025229 \tabularnewline
189 & 13 & 11.2207868198090 & 1.77921318019103 \tabularnewline
190 & 14 & 10.4664685581934 & 3.5335314418066 \tabularnewline
191 & 18.5 & 20.9997508655774 & -2.49975086557735 \tabularnewline
192 & 18 & 20.4157904570344 & -2.41579045703445 \tabularnewline
193 & 20.2 & 26.0607939117851 & -5.86079391178508 \tabularnewline
194 & 22 & 28.4887234650783 & -6.4887234650783 \tabularnewline
195 & 13 & 12.1451393507536 & 0.854860649246412 \tabularnewline
196 & 14 & 11.947726453901 & 2.05227354609899 \tabularnewline
197 & 17.6 & 20.4725341727915 & -2.87253417279153 \tabularnewline
198 & 15 & 22.4207295451384 & -7.42072954513835 \tabularnewline
199 & 18 & 21.2577537597315 & -3.25775375973147 \tabularnewline
200 & 21 & 20.6550463264272 & 0.344953673572788 \tabularnewline
201 & 24 & 22.6645934206717 & 1.33540657932834 \tabularnewline
202 & 18 & 18.7536684824764 & -0.75366848247641 \tabularnewline
203 & 27 & 28.1080371457606 & -1.10803714576059 \tabularnewline
204 & 13 & 20.9846557407931 & -7.98465574079314 \tabularnewline
205 & 25.5 & 24.4190361097994 & 1.08096389020062 \tabularnewline
206 & 18 & 20.8439217240723 & -2.84392172407230 \tabularnewline
207 & 19 & 24.1517457509621 & -5.15174575096211 \tabularnewline
208 & 23 & 23.8474112178197 & -0.847411217819685 \tabularnewline
209 & 26 & 23.9153197762747 & 2.08468022372530 \tabularnewline
210 & 26.5 & 25.0520743643356 & 1.44792563566440 \tabularnewline
211 & 22 & 22.588395106967 & -0.588395106967016 \tabularnewline
212 & 21 & 23.7620015424993 & -2.76200154249933 \tabularnewline
213 & 28 & 29.1002710025261 & -1.10027100252611 \tabularnewline
214 & 16 & 15.7234435930908 & 0.276556406909202 \tabularnewline
215 & 17 & 14.9019408311783 & 2.09805916882174 \tabularnewline
216 & 19 & 17.7389789057253 & 1.26102109427472 \tabularnewline
217 & 9 & 6.00957597784074 & 2.99042402215926 \tabularnewline
218 & 32.4 & 32.3364210537643 & 0.0635789462356846 \tabularnewline
219 & 36 & 34.2085496006486 & 1.79145039935137 \tabularnewline
220 & 31.5 & 31.62496496159 & -0.124964961590032 \tabularnewline
221 & 29.5 & 31.6477615608057 & -2.14776156080571 \tabularnewline
222 & 24 & 26.0378226771787 & -2.03782267717872 \tabularnewline
223 & 33 & 32.5434221671085 & 0.456577832891547 \tabularnewline
224 & 38 & 35.6204027170895 & 2.37959728291046 \tabularnewline
225 & 32 & 35.6757748422974 & -3.67577484229744 \tabularnewline
226 & 35.1 & 36.1935156717064 & -1.09351567170639 \tabularnewline
227 & 44.6 & 34.7431193703223 & 9.8568806296777 \tabularnewline
228 & 33 & 31.7743055316086 & 1.22569446839144 \tabularnewline
229 & 36.1 & 33.8575368403904 & 2.24246315960963 \tabularnewline
230 & 33.7 & 33.3900604373096 & 0.309939562690409 \tabularnewline
231 & 34.1 & 33.1545123736533 & 0.945487626346694 \tabularnewline
232 & 18 & 27.0094928614788 & -9.0094928614788 \tabularnewline
233 & 31.3 & 30.9421277519168 & 0.357872248083203 \tabularnewline
234 & 31.6 & 31.1765548600197 & 0.423445139980348 \tabularnewline
235 & 46.6 & 33.2392156527889 & 13.3607843472111 \tabularnewline
236 & 34.1 & 34.7700876674134 & -0.670087667413412 \tabularnewline
237 & 31 & 35.7743352260431 & -4.77433522604314 \tabularnewline
238 & 37 & 35.4527259206442 & 1.54727407935582 \tabularnewline
239 & 32.8 & 32.687170224808 & 0.112829775192019 \tabularnewline
240 & 21.5 & 25.9943288374680 & -4.49432883746803 \tabularnewline
241 & 23.7 & 30.2014700570826 & -6.50147005708263 \tabularnewline
242 & 19 & 24.7228425438662 & -5.7228425438662 \tabularnewline
243 & 25.4 & 24.5022615417679 & 0.89773845823214 \tabularnewline
244 & 30 & 27.0770054331579 & 2.92299456684206 \tabularnewline
245 & 16.5 & 18.3249409669513 & -1.82494096695134 \tabularnewline
246 & 23 & 22.8274793181344 & 0.172520681865629 \tabularnewline
247 & 21 & 22.1205400562471 & -1.12054005624706 \tabularnewline
248 & 15 & 15.1940324319628 & -0.194032431962800 \tabularnewline
249 & 16.5 & 19.9246275973087 & -3.42462759730871 \tabularnewline
250 & 36 & 31.9887501271363 & 4.01124987286371 \tabularnewline
251 & 11 & 10.3592636574698 & 0.640736342530218 \tabularnewline
252 & 12 & 9.21706421833176 & 2.78293578166824 \tabularnewline
253 & 15 & 20.7007388482540 & -5.70073884825403 \tabularnewline
254 & 20.2 & 20.5063203114386 & -0.30632031143863 \tabularnewline
255 & 20.8 & 23.6855184309203 & -2.88551843092029 \tabularnewline
256 & 19.8 & 25.1180306542284 & -5.31803065422837 \tabularnewline
257 & 36 & 34.5858542262379 & 1.41414577376214 \tabularnewline
258 & 38 & 28.6731041548616 & 9.32689584513842 \tabularnewline
259 & 26.6 & 24.0569431029270 & 2.54305689707296 \tabularnewline
260 & 19.9 & 21.6157446627374 & -1.71574466273736 \tabularnewline
261 & 23.9 & 22.9173600968853 & 0.982639903114749 \tabularnewline
262 & 17 & 16.4518613811490 & 0.548138618851039 \tabularnewline
263 & 12 & 10.7232526337066 & 1.27674736629341 \tabularnewline
264 & 11 & 16.2534769308848 & -5.25347693088479 \tabularnewline
265 & 26.8 & 25.4518686503898 & 1.34813134961023 \tabularnewline
266 & 23.8 & 25.003909041445 & -1.20390904144503 \tabularnewline
267 & 12 & 10.7689607385421 & 1.23103926145789 \tabularnewline
268 & 25 & 29.5190606341166 & -4.51906063411657 \tabularnewline
269 & 28 & 25.8917832181846 & 2.10821678181535 \tabularnewline
270 & 24 & 27.6023801665282 & -3.60238016652819 \tabularnewline
271 & 26 & 26.8372848948843 & -0.837284894884293 \tabularnewline
272 & 30 & 26.1321181902339 & 3.86788180976612 \tabularnewline
273 & 19 & 22.8373028082669 & -3.8373028082669 \tabularnewline
274 & 23 & 23.7730212245795 & -0.773021224579534 \tabularnewline
275 & 25 & 21.6182945471426 & 3.38170545285742 \tabularnewline
276 & 27.2 & 26.7472835734386 & 0.452716426561396 \tabularnewline
277 & 21 & 21.5102530105412 & -0.510253010541234 \tabularnewline
278 & 28.1 & 27.5212175517463 & 0.578782448253719 \tabularnewline
279 & 16.2 & 22.2027813523233 & -6.00278135232327 \tabularnewline
280 & 14 & 14.1780409730519 & -0.178040973051911 \tabularnewline
281 & 25.5 & 26.8896301361788 & -1.38963013617876 \tabularnewline
282 & 39 & 32.6394835433679 & 6.36051645663205 \tabularnewline
283 & 26 & 24.6674983057201 & 1.33250169427990 \tabularnewline
284 & 13 & 10.1900237974716 & 2.80997620252841 \tabularnewline
285 & 20 & 20.1170658467936 & -0.117065846793644 \tabularnewline
286 & 22 & 18.7349483846426 & 3.26505161535737 \tabularnewline
287 & 23 & 20.6291434469076 & 2.37085655309242 \tabularnewline
288 & 18 & 17.1560814056771 & 0.843918594322912 \tabularnewline
289 & 14 & 12.463474764211 & 1.53652523578900 \tabularnewline
290 & 14 & 11.7369304939522 & 2.26306950604784 \tabularnewline
291 & 14 & 10.8979663301621 & 3.10203366983787 \tabularnewline
292 & 15 & 12.2918039700911 & 2.70819602990887 \tabularnewline
293 & 16 & 12.2661183851677 & 3.7338816148323 \tabularnewline
294 & 34.2 & 28.9979185608288 & 5.20208143917117 \tabularnewline
295 & 34.7 & 30.7130760866114 & 3.98692391338865 \tabularnewline
296 & 38 & 32.078216989974 & 5.92178301002597 \tabularnewline
297 & 34.5 & 29.4679129284168 & 5.03208707158315 \tabularnewline
298 & 27.2 & 29.2685094564121 & -2.06850945641207 \tabularnewline
299 & 30 & 29.7516112889550 & 0.248388711044954 \tabularnewline
300 & 23.2 & 25.4270825024087 & -2.22708250240866 \tabularnewline
301 & 18 & 15.2305510068972 & 2.76944899310276 \tabularnewline
302 & 16 & 15.9110712909174 & 0.0889287090826203 \tabularnewline
303 & 14 & 12.7205577674846 & 1.27944223251538 \tabularnewline
304 & 18 & 17.1536483060682 & 0.846351693931836 \tabularnewline
305 & 18 & 19.6781303576365 & -1.67813035763651 \tabularnewline
306 & 22 & 21.2615521332552 & 0.738447866744777 \tabularnewline
307 & 19 & 20.4148824280065 & -1.41488242800655 \tabularnewline
308 & 20.5 & 21.6360458031843 & -1.13604580318434 \tabularnewline
309 & 19 & 19.5564935566136 & -0.55649355661361 \tabularnewline
310 & 13 & 16.6847057205303 & -3.68470572053029 \tabularnewline
311 & 23 & 24.3723711460176 & -1.37237114601757 \tabularnewline
312 & 14 & 12.0072155935443 & 1.99278440645572 \tabularnewline
313 & 14 & 10.4361924978150 & 3.56380750218495 \tabularnewline
314 & 16 & 12.4906235049883 & 3.50937649501166 \tabularnewline
315 & 14 & 10.6605167903749 & 3.33948320962514 \tabularnewline
316 & 19 & 17.6154335018010 & 1.38456649819904 \tabularnewline
317 & 16 & 12.3044055221096 & 3.69559447789039 \tabularnewline
318 & 16 & 16.8374536174621 & -0.837453617462145 \tabularnewline
319 & 31 & 28.9450129860118 & 2.05498701398821 \tabularnewline
320 & 21.5 & 23.3832282446142 & -1.88322824461423 \tabularnewline
321 & 27 & 28.8579867873446 & -1.85798678734458 \tabularnewline
322 & 33.5 & 27.3483701559878 & 6.15162984401218 \tabularnewline
323 & 19.2 & 21.1426160858053 & -1.94261608580532 \tabularnewline
324 & 13 & 6.1638486382738 & 6.8361513617262 \tabularnewline
325 & 24.5 & 24.8174610272577 & -0.317461027257735 \tabularnewline
326 & 18.5 & 18.9777877618933 & -0.477787761893321 \tabularnewline
327 & 26 & 26.4446168131823 & -0.44461681318234 \tabularnewline
328 & 27 & 29.1172361022955 & -2.11723610229552 \tabularnewline
329 & 36 & 32.6121743086129 & 3.38782569138712 \tabularnewline
330 & 25 & 23.3219390564954 & 1.67806094350457 \tabularnewline
331 & 21.6 & 26.6213754386819 & -5.02137543868186 \tabularnewline
332 & 24 & 23.5985847593477 & 0.401415240652298 \tabularnewline
333 & 25 & 24.9483555739487 & 0.0516444260512951 \tabularnewline
334 & 26 & 26.5199819674882 & -0.519981967488218 \tabularnewline
335 & 32.3 & 34.5376977302497 & -2.23769773024966 \tabularnewline
336 & 30 & 31.8556764536199 & -1.85567645361993 \tabularnewline
337 & 33.8 & 33.2396606681608 & 0.560339331839241 \tabularnewline
338 & 20 & 26.5985309125805 & -6.59853091258053 \tabularnewline
339 & 32 & 31.5796681646640 & 0.420331835336043 \tabularnewline
340 & 21.1 & 29.3277077835367 & -8.22770778353667 \tabularnewline
341 & 28 & 29.7924165005541 & -1.79241650055405 \tabularnewline
342 & 29 & 28.8763822010105 & 0.123617798989512 \tabularnewline
343 & 32.2 & 32.3312234440398 & -0.131223444039747 \tabularnewline
344 & 32.4 & 32.6644325899318 & -0.264432589931794 \tabularnewline
345 & 34 & 34.2448774862028 & -0.244877486202757 \tabularnewline
346 & 31 & 28.2347063310000 & 2.76529366899997 \tabularnewline
347 & 32 & 30.3012390203009 & 1.69876097969909 \tabularnewline
348 & 27 & 26.8249051422518 & 0.175094857748248 \tabularnewline
349 & 26 & 29.9736866504639 & -3.97368665046393 \tabularnewline
350 & 38.1 & 34.4261361835644 & 3.67386381643556 \tabularnewline
351 & 24 & 25.6207677235606 & -1.62076772356064 \tabularnewline
352 & 25 & 25.2475655009923 & -0.247565500992309 \tabularnewline
353 & 27.5 & 28.9782786761979 & -1.47827867619795 \tabularnewline
354 & 31 & 31.556395442714 & -0.556395442714031 \tabularnewline
355 & 24 & 25.8077277877414 & -1.80772778774141 \tabularnewline
356 & 29.8 & 29.712815818175 & 0.0871841818249851 \tabularnewline
357 & 24 & 23.5833462835603 & 0.416653716439685 \tabularnewline
358 & 25.4 & 28.3552663366123 & -2.95526633661232 \tabularnewline
359 & 19 & 24.3559429056950 & -5.35594290569497 \tabularnewline
360 & 20 & 22.4374647674928 & -2.43746476749277 \tabularnewline
361 & 39.1 & 36.2787596611743 & 2.82124033882574 \tabularnewline
362 & 37.7 & 34.4978901421259 & 3.20210985787405 \tabularnewline
363 & 23 & 24.3301407508056 & -1.33014075080563 \tabularnewline
364 & 35 & 30.6224629859301 & 4.37753701406987 \tabularnewline
365 & 29.8 & 34.7150600086545 & -4.9150600086545 \tabularnewline
366 & 26 & 27.9059948230213 & -1.90599482302132 \tabularnewline
367 & 22 & 24.7560549765919 & -2.75605497659188 \tabularnewline
368 & 25 & 28.2486512238927 & -3.24865122389273 \tabularnewline
369 & 26 & 28.9461898937472 & -2.9461898937472 \tabularnewline
370 & 30.5 & 29.8748667517943 & 0.625133248205712 \tabularnewline
371 & 33 & 33.2554478201779 & -0.255447820177882 \tabularnewline
372 & 27 & 28.3165090956889 & -1.31650909568888 \tabularnewline
373 & 29 & 29.9882469583331 & -0.98824695833314 \tabularnewline
374 & 29.5 & 31.5241184990363 & -2.02411849903631 \tabularnewline
375 & 29 & 31.584103998043 & -2.58410399804299 \tabularnewline
376 & 43.1 & 32.9905383164614 & 10.1094616835386 \tabularnewline
377 & 36 & 35.5286687656404 & 0.471331234359568 \tabularnewline
378 & 31.5 & 31.9927080412287 & -0.492708041228663 \tabularnewline
379 & 26 & 29.5049329836817 & -3.50493298368169 \tabularnewline
380 & 23 & 26.7402391475755 & -3.74023914757553 \tabularnewline
381 & 19 & 22.2851124867926 & -3.28511248679255 \tabularnewline
382 & 18 & 20.9928075434008 & -2.99280754340076 \tabularnewline
383 & 22 & 23.4979322477192 & -1.49793224771922 \tabularnewline
384 & 20 & 23.137328024017 & -3.13732802401699 \tabularnewline
385 & 17 & 23.986026099801 & -6.986026099801 \tabularnewline
386 & 30.7 & 27.1168915960262 & 3.58310840397380 \tabularnewline
387 & 43.4 & 32.3699844293064 & 11.0300155706936 \tabularnewline
388 & 44 & 35.4659764380706 & 8.53402356192944 \tabularnewline
389 & 29 & 30.7810945046364 & -1.78109450463642 \tabularnewline
390 & 41.5 & 32.622432632669 & 8.87756736733098 \tabularnewline
391 & 44.3 & 33.8893743891281 & 10.4106256108719 \tabularnewline
392 & 31.9 & 33.134717216199 & -1.23471721619902 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117207&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]13[/C][C]15.5306503833598[/C][C]-2.53065038335978[/C][/ROW]
[ROW][C]2[/C][C]15[/C][C]13.2538181965878[/C][C]1.74618180341217[/C][/ROW]
[ROW][C]3[/C][C]17[/C][C]14.9048047326538[/C][C]2.09519526734622[/C][/ROW]
[ROW][C]4[/C][C]19.4[/C][C]23.4620154597908[/C][C]-4.06201545979085[/C][/ROW]
[ROW][C]5[/C][C]24.3[/C][C]25.6716663386293[/C][C]-1.37166633862928[/C][/ROW]
[ROW][C]6[/C][C]18.1[/C][C]22.0317630822510[/C][C]-3.93176308225096[/C][/ROW]
[ROW][C]7[/C][C]20.2[/C][C]23.9490743078974[/C][C]-3.74907430789742[/C][/ROW]
[ROW][C]8[/C][C]18[/C][C]22.0460911622980[/C][C]-4.04609116229804[/C][/ROW]
[ROW][C]9[/C][C]19[/C][C]21.3739407518168[/C][C]-2.37394075181683[/C][/ROW]
[ROW][C]10[/C][C]20[/C][C]22.8404500605893[/C][C]-2.84045006058927[/C][/ROW]
[ROW][C]11[/C][C]21[/C][C]20.0517138944238[/C][C]0.948286105576179[/C][/ROW]
[ROW][C]12[/C][C]18[/C][C]19.1184727641080[/C][C]-1.11847276410803[/C][/ROW]
[ROW][C]13[/C][C]18[/C][C]21.0783742744385[/C][C]-3.07837427443855[/C][/ROW]
[ROW][C]14[/C][C]19[/C][C]22.1506581151441[/C][C]-3.15065811514414[/C][/ROW]
[ROW][C]15[/C][C]22.5[/C][C]22.7784008119154[/C][C]-0.278400811915418[/C][/ROW]
[ROW][C]16[/C][C]18[/C][C]19.6540963803791[/C][C]-1.65409638037907[/C][/ROW]
[ROW][C]17[/C][C]14[/C][C]15.6818316717548[/C][C]-1.68183167175481[/C][/ROW]
[ROW][C]18[/C][C]15[/C][C]18.0436958250198[/C][C]-3.04369582501984[/C][/ROW]
[ROW][C]19[/C][C]15.5[/C][C]16.8022522997112[/C][C]-1.30225229971122[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]17.8451834943905[/C][C]-1.84518349439046[/C][/ROW]
[ROW][C]21[/C][C]18[/C][C]17.1831071225406[/C][C]0.816892877459366[/C][/ROW]
[ROW][C]22[/C][C]14[/C][C]12.8496960403855[/C][C]1.15030395961445[/C][/ROW]
[ROW][C]23[/C][C]15[/C][C]13.5076232606422[/C][C]1.49237673935781[/C][/ROW]
[ROW][C]24[/C][C]19[/C][C]21.1084036511582[/C][C]-2.10840365115816[/C][/ROW]
[ROW][C]25[/C][C]17.5[/C][C]22.6020273578914[/C][C]-5.10202735789141[/C][/ROW]
[ROW][C]26[/C][C]16[/C][C]14.9940841789004[/C][C]1.00591582109956[/C][/ROW]
[ROW][C]27[/C][C]27.4[/C][C]26.1882471498395[/C][C]1.21175285016050[/C][/ROW]
[ROW][C]28[/C][C]24[/C][C]22.8784120737337[/C][C]1.12158792626626[/C][/ROW]
[ROW][C]29[/C][C]20[/C][C]24.2996300298262[/C][C]-4.29963002982615[/C][/ROW]
[ROW][C]30[/C][C]23[/C][C]25.1324687096457[/C][C]-2.13246870964574[/C][/ROW]
[ROW][C]31[/C][C]34.3[/C][C]32.3538434985713[/C][C]1.94615650142872[/C][/ROW]
[ROW][C]32[/C][C]20.3[/C][C]26.3706111861237[/C][C]-6.0706111861237[/C][/ROW]
[ROW][C]33[/C][C]36.4[/C][C]27.8506493782056[/C][C]8.54935062179443[/C][/ROW]
[ROW][C]34[/C][C]29[/C][C]27.472093405058[/C][C]1.52790659494201[/C][/ROW]
[ROW][C]35[/C][C]26[/C][C]23.9529226341737[/C][C]2.04707736582633[/C][/ROW]
[ROW][C]36[/C][C]21.5[/C][C]27.0143919201809[/C][C]-5.51439192018086[/C][/ROW]
[ROW][C]37[/C][C]17[/C][C]16.3667405177442[/C][C]0.633259482255848[/C][/ROW]
[ROW][C]38[/C][C]22.4[/C][C]23.919075355761[/C][C]-1.51907535576099[/C][/ROW]
[ROW][C]39[/C][C]13[/C][C]13.5768728435653[/C][C]-0.576872843565337[/C][/ROW]
[ROW][C]40[/C][C]25[/C][C]26.6985124549422[/C][C]-1.69851245494223[/C][/ROW]
[ROW][C]41[/C][C]13[/C][C]10.9076208453559[/C][C]2.09237915464413[/C][/ROW]
[ROW][C]42[/C][C]20.6[/C][C]21.9137753031104[/C][C]-1.31377530311037[/C][/ROW]
[ROW][C]43[/C][C]12[/C][C]9.3167143001292[/C][C]2.68328569987079[/C][/ROW]
[ROW][C]44[/C][C]14[/C][C]19.4213968443725[/C][C]-5.42139684437254[/C][/ROW]
[ROW][C]45[/C][C]16.9[/C][C]17.0082996542520[/C][C]-0.108299654251955[/C][/ROW]
[ROW][C]46[/C][C]13[/C][C]10.5054922840415[/C][C]2.49450771595848[/C][/ROW]
[ROW][C]47[/C][C]30[/C][C]27.8344340497555[/C][C]2.16556595024448[/C][/ROW]
[ROW][C]48[/C][C]17.7[/C][C]20.1967452060727[/C][C]-2.49674520607275[/C][/ROW]
[ROW][C]49[/C][C]21[/C][C]21.7167357242395[/C][C]-0.716735724239508[/C][/ROW]
[ROW][C]50[/C][C]20.5[/C][C]20.9217944178898[/C][C]-0.421794417889803[/C][/ROW]
[ROW][C]51[/C][C]26.6[/C][C]28.7345341875963[/C][C]-2.13453418759629[/C][/ROW]
[ROW][C]52[/C][C]15[/C][C]14.0400984524762[/C][C]0.95990154752379[/C][/ROW]
[ROW][C]53[/C][C]28.4[/C][C]26.8048748662984[/C][C]1.59512513370155[/C][/ROW]
[ROW][C]54[/C][C]23[/C][C]20.838337864039[/C][C]2.161662135961[/C][/ROW]
[ROW][C]55[/C][C]16.5[/C][C]13.8669360525985[/C][C]2.63306394740150[/C][/ROW]
[ROW][C]56[/C][C]25[/C][C]24.7442663414816[/C][C]0.255733658518398[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]16.7825983257136[/C][C]-0.782598325713552[/C][/ROW]
[ROW][C]58[/C][C]15[/C][C]13.4740030756361[/C][C]1.52599692436391[/C][/ROW]
[ROW][C]59[/C][C]27[/C][C]27.3598820747507[/C][C]-0.359882074750678[/C][/ROW]
[ROW][C]60[/C][C]13[/C][C]12.7087087875538[/C][C]0.291291212446185[/C][/ROW]
[ROW][C]61[/C][C]17[/C][C]19.9127985382105[/C][C]-2.91279853821053[/C][/ROW]
[ROW][C]62[/C][C]17.5[/C][C]17.5881785298979[/C][C]-0.0881785298979375[/C][/ROW]
[ROW][C]63[/C][C]28[/C][C]28.9581013925123[/C][C]-0.95810139251228[/C][/ROW]
[ROW][C]64[/C][C]34[/C][C]30.2407172016434[/C][C]3.75928279835664[/C][/ROW]
[ROW][C]65[/C][C]27[/C][C]28.6441349120428[/C][C]-1.64413491204281[/C][/ROW]
[ROW][C]66[/C][C]13[/C][C]12.6795438972801[/C][C]0.320456102719870[/C][/ROW]
[ROW][C]67[/C][C]17[/C][C]17.3395969658199[/C][C]-0.339596965819891[/C][/ROW]
[ROW][C]68[/C][C]18[/C][C]14.9532521187173[/C][C]3.04674788128267[/C][/ROW]
[ROW][C]69[/C][C]16[/C][C]16.7562387115656[/C][C]-0.756238711565572[/C][/ROW]
[ROW][C]70[/C][C]17.5[/C][C]14.6936417463256[/C][C]2.80635825367440[/C][/ROW]
[ROW][C]71[/C][C]29[/C][C]28.3337079207863[/C][C]0.666292079213678[/C][/ROW]
[ROW][C]72[/C][C]30[/C][C]28.6524153461796[/C][C]1.34758465382042[/C][/ROW]
[ROW][C]73[/C][C]30.5[/C][C]28.7037371945256[/C][C]1.79626280547436[/C][/ROW]
[ROW][C]74[/C][C]32.1[/C][C]30.3258627047508[/C][C]1.77413729524917[/C][/ROW]
[ROW][C]75[/C][C]23.5[/C][C]26.9053493347983[/C][C]-3.40534933479826[/C][/ROW]
[ROW][C]76[/C][C]28[/C][C]27.5677702503861[/C][C]0.432229749613906[/C][/ROW]
[ROW][C]77[/C][C]28.8[/C][C]26.0298941261463[/C][C]2.77010587385372[/C][/ROW]
[ROW][C]78[/C][C]17.5[/C][C]20.6094333241187[/C][C]-3.10943332411869[/C][/ROW]
[ROW][C]79[/C][C]11[/C][C]9.29028011968456[/C][C]1.70971988031544[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]11.734970670678[/C][C]1.26502932932201[/C][/ROW]
[ROW][C]81[/C][C]14[/C][C]11.3941186998565[/C][C]2.60588130014354[/C][/ROW]
[ROW][C]82[/C][C]14[/C][C]10.9004654110139[/C][C]3.0995345889861[/C][/ROW]
[ROW][C]83[/C][C]13[/C][C]14.8739397869971[/C][C]-1.87393978699707[/C][/ROW]
[ROW][C]84[/C][C]20.5[/C][C]23.0519556937217[/C][C]-2.55195569372168[/C][/ROW]
[ROW][C]85[/C][C]19.2[/C][C]20.6378264408747[/C][C]-1.43782644087466[/C][/ROW]
[ROW][C]86[/C][C]15[/C][C]14.8972704217684[/C][C]0.102729578231579[/C][/ROW]
[ROW][C]87[/C][C]15.5[/C][C]16.2131580942661[/C][C]-0.713158094266136[/C][/ROW]
[ROW][C]88[/C][C]19.2[/C][C]21.4738023721633[/C][C]-2.27380237216328[/C][/ROW]
[ROW][C]89[/C][C]15[/C][C]14.2431636790237[/C][C]0.75683632097635[/C][/ROW]
[ROW][C]90[/C][C]20[/C][C]20.1407103758097[/C][C]-0.140710375809735[/C][/ROW]
[ROW][C]91[/C][C]15[/C][C]19.7423596482482[/C][C]-4.74235964824823[/C][/ROW]
[ROW][C]92[/C][C]18[/C][C]19.5239889834764[/C][C]-1.52398898347638[/C][/ROW]
[ROW][C]93[/C][C]22[/C][C]20.8936620860624[/C][C]1.10633791393758[/C][/ROW]
[ROW][C]94[/C][C]16[/C][C]19.4336380245463[/C][C]-3.43363802454635[/C][/ROW]
[ROW][C]95[/C][C]20[/C][C]23.1369024756969[/C][C]-3.1369024756969[/C][/ROW]
[ROW][C]96[/C][C]21[/C][C]24.2882044563889[/C][C]-3.28820445638888[/C][/ROW]
[ROW][C]97[/C][C]25[/C][C]23.866759251385[/C][C]1.13324074861498[/C][/ROW]
[ROW][C]98[/C][C]22[/C][C]22.6476263712896[/C][C]-0.647626371289558[/C][/ROW]
[ROW][C]99[/C][C]28[/C][C]23.009758706893[/C][C]4.99024129310699[/C][/ROW]
[ROW][C]100[/C][C]24.5[/C][C]27.6264127248051[/C][C]-3.12641272480513[/C][/ROW]
[ROW][C]101[/C][C]13[/C][C]16.6763218317546[/C][C]-3.6763218317546[/C][/ROW]
[ROW][C]102[/C][C]10[/C][C]8.06626378495905[/C][C]1.93373621504095[/C][/ROW]
[ROW][C]103[/C][C]31[/C][C]28.4475379030899[/C][C]2.55246209691009[/C][/ROW]
[ROW][C]104[/C][C]15.5[/C][C]16.0380419833115[/C][C]-0.538041983311481[/C][/ROW]
[ROW][C]105[/C][C]26[/C][C]29.6712100724733[/C][C]-3.67121007247328[/C][/ROW]
[ROW][C]106[/C][C]17.6[/C][C]23.9575533150052[/C][C]-6.35755331500522[/C][/ROW]
[ROW][C]107[/C][C]18.5[/C][C]20.0070689798017[/C][C]-1.50706897980174[/C][/ROW]
[ROW][C]108[/C][C]13[/C][C]10.588312251613[/C][C]2.41168774838699[/C][/ROW]
[ROW][C]109[/C][C]13[/C][C]11.5257309382542[/C][C]1.47426906174578[/C][/ROW]
[ROW][C]110[/C][C]35[/C][C]29.1805095432415[/C][C]5.8194904567585[/C][/ROW]
[ROW][C]111[/C][C]23.9[/C][C]29.6777137526534[/C][C]-5.77771375265345[/C][/ROW]
[ROW][C]112[/C][C]32.9[/C][C]30.5371532074897[/C][C]2.36284679251029[/C][/ROW]
[ROW][C]113[/C][C]31.8[/C][C]33.1449785879386[/C][C]-1.34497858793860[/C][/ROW]
[ROW][C]114[/C][C]40.8[/C][C]33.3180709555757[/C][C]7.48192904442429[/C][/ROW]
[ROW][C]115[/C][C]37[/C][C]35.0168203590748[/C][C]1.98317964092515[/C][/ROW]
[ROW][C]116[/C][C]32.7[/C][C]27.1252764884024[/C][C]5.57472351159762[/C][/ROW]
[ROW][C]117[/C][C]37.2[/C][C]33.7312060543633[/C][C]3.46879394563672[/C][/ROW]
[ROW][C]118[/C][C]38[/C][C]35.5140148364818[/C][C]2.48598516351823[/C][/ROW]
[ROW][C]119[/C][C]27.2[/C][C]30.3664834788258[/C][C]-3.16648347882576[/C][/ROW]
[ROW][C]120[/C][C]28[/C][C]25.5301705881552[/C][C]2.46982941184484[/C][/ROW]
[ROW][C]121[/C][C]37[/C][C]31.1359941149569[/C][C]5.86400588504305[/C][/ROW]
[ROW][C]122[/C][C]22[/C][C]25.8843992098881[/C][C]-3.88439920988815[/C][/ROW]
[ROW][C]123[/C][C]24[/C][C]26.5732955331413[/C][C]-2.57329553314133[/C][/ROW]
[ROW][C]124[/C][C]32[/C][C]29.3828763834963[/C][C]2.61712361650369[/C][/ROW]
[ROW][C]125[/C][C]22[/C][C]25.7857926475817[/C][C]-3.78579264758167[/C][/ROW]
[ROW][C]126[/C][C]24.2[/C][C]27.6486144312360[/C][C]-3.44861443123596[/C][/ROW]
[ROW][C]127[/C][C]32[/C][C]30.7502652950378[/C][C]1.24973470496223[/C][/ROW]
[ROW][C]128[/C][C]31[/C][C]29.5335113819027[/C][C]1.46648861809732[/C][/ROW]
[ROW][C]129[/C][C]39.4[/C][C]31.8940533006677[/C][C]7.50594669933228[/C][/ROW]
[ROW][C]130[/C][C]33.5[/C][C]31.8134389126685[/C][C]1.68656108733151[/C][/ROW]
[ROW][C]131[/C][C]27[/C][C]24.9113336682058[/C][C]2.08866633179415[/C][/ROW]
[ROW][C]132[/C][C]27[/C][C]25.6883606073069[/C][C]1.31163939269313[/C][/ROW]
[ROW][C]133[/C][C]29[/C][C]29.8344038618583[/C][C]-0.834403861858288[/C][/ROW]
[ROW][C]134[/C][C]25.8[/C][C]28.6514093853129[/C][C]-2.85140938531294[/C][/ROW]
[ROW][C]135[/C][C]18.6[/C][C]20.2978927326112[/C][C]-1.69789273261117[/C][/ROW]
[ROW][C]136[/C][C]19.1[/C][C]23.8193976980333[/C][C]-4.71939769803327[/C][/ROW]
[ROW][C]137[/C][C]20.6[/C][C]22.6535031692065[/C][C]-2.05350316920646[/C][/ROW]
[ROW][C]138[/C][C]20[/C][C]18.6385485508377[/C][C]1.36145144916232[/C][/ROW]
[ROW][C]139[/C][C]15[/C][C]15.4941717677438[/C][C]-0.494171767743808[/C][/ROW]
[ROW][C]140[/C][C]36[/C][C]30.6372042935678[/C][C]5.36279570643215[/C][/ROW]
[ROW][C]141[/C][C]26[/C][C]26.3222285940260[/C][C]-0.322228594026039[/C][/ROW]
[ROW][C]142[/C][C]27.9[/C][C]26.4301282707790[/C][C]1.46987172922096[/C][/ROW]
[ROW][C]143[/C][C]28[/C][C]25.2682996410793[/C][C]2.73170035892069[/C][/ROW]
[ROW][C]144[/C][C]28[/C][C]23.5930041319439[/C][C]4.40699586805606[/C][/ROW]
[ROW][C]145[/C][C]25[/C][C]23.9942154787929[/C][C]1.00578452120712[/C][/ROW]
[ROW][C]146[/C][C]35.7[/C][C]30.6556165317611[/C][C]5.04438346823888[/C][/ROW]
[ROW][C]147[/C][C]33.5[/C][C]28.0920053550792[/C][C]5.40799464492083[/C][/ROW]
[ROW][C]148[/C][C]16[/C][C]14.9912890814838[/C][C]1.00871091851615[/C][/ROW]
[ROW][C]149[/C][C]15[/C][C]15.3920453907817[/C][C]-0.392045390781749[/C][/ROW]
[ROW][C]150[/C][C]14[/C][C]11.6851141592778[/C][C]2.31488584072215[/C][/ROW]
[ROW][C]151[/C][C]13[/C][C]17.9894092129040[/C][C]-4.98940921290402[/C][/ROW]
[ROW][C]152[/C][C]11[/C][C]7.98927737009596[/C][C]3.01072262990404[/C][/ROW]
[ROW][C]153[/C][C]15[/C][C]17.8099160369132[/C][C]-2.80991603691325[/C][/ROW]
[ROW][C]154[/C][C]19.4[/C][C]19.7962229852331[/C][C]-0.396222985233084[/C][/ROW]
[ROW][C]155[/C][C]17.5[/C][C]17.5206919792937[/C][C]-0.0206919792937378[/C][/ROW]
[ROW][C]156[/C][C]12[/C][C]6.86716391516478[/C][C]5.13283608483522[/C][/ROW]
[ROW][C]157[/C][C]15.5[/C][C]16.2501246723559[/C][C]-0.750124672355856[/C][/ROW]
[ROW][C]158[/C][C]30.9[/C][C]28.0314967245269[/C][C]2.86850327547308[/C][/ROW]
[ROW][C]159[/C][C]32[/C][C]31.0297388527053[/C][C]0.970261147294687[/C][/ROW]
[ROW][C]160[/C][C]18.2[/C][C]20.1848868244501[/C][C]-1.98488682445013[/C][/ROW]
[ROW][C]161[/C][C]26[/C][C]26.1800015118144[/C][C]-0.180001511814401[/C][/ROW]
[ROW][C]162[/C][C]26[/C][C]27.6702387484031[/C][C]-1.67023874840313[/C][/ROW]
[ROW][C]163[/C][C]30[/C][C]25.9037034793416[/C][C]4.09629652065838[/C][/ROW]
[ROW][C]164[/C][C]24[/C][C]28.0914815672734[/C][C]-4.09148156727336[/C][/ROW]
[ROW][C]165[/C][C]29[/C][C]29.1933092433122[/C][C]-0.19330924331219[/C][/ROW]
[ROW][C]166[/C][C]28[/C][C]27.4642575401757[/C][C]0.535742459824258[/C][/ROW]
[ROW][C]167[/C][C]37.3[/C][C]31.8987848114281[/C][C]5.40121518857187[/C][/ROW]
[ROW][C]168[/C][C]31[/C][C]28.7374571990399[/C][C]2.2625428009601[/C][/ROW]
[ROW][C]169[/C][C]12[/C][C]9.47315163259846[/C][C]2.52684836740154[/C][/ROW]
[ROW][C]170[/C][C]13[/C][C]8.8986573046545[/C][C]4.10134269534549[/C][/ROW]
[ROW][C]171[/C][C]15.5[/C][C]19.2745790521554[/C][C]-3.77457905215541[/C][/ROW]
[ROW][C]172[/C][C]29.9[/C][C]29.8604428781868[/C][C]0.0395571218131987[/C][/ROW]
[ROW][C]173[/C][C]34.4[/C][C]31.7524578988073[/C][C]2.64754210119274[/C][/ROW]
[ROW][C]174[/C][C]13[/C][C]17.2768290505980[/C][C]-4.27682905059803[/C][/ROW]
[ROW][C]175[/C][C]10[/C][C]7.3814951153992[/C][C]2.6185048846008[/C][/ROW]
[ROW][C]176[/C][C]26.4[/C][C]26.1785431993189[/C][C]0.221456800681091[/C][/ROW]
[ROW][C]177[/C][C]20.2[/C][C]24.3189160318847[/C][C]-4.11891603188470[/C][/ROW]
[ROW][C]178[/C][C]25.1[/C][C]25.4174687429929[/C][C]-0.317468742992924[/C][/ROW]
[ROW][C]179[/C][C]22.3[/C][C]25.2040261488613[/C][C]-2.90402614886133[/C][/ROW]
[ROW][C]180[/C][C]24[/C][C]27.5589399807833[/C][C]-3.55893998078325[/C][/ROW]
[ROW][C]181[/C][C]36.1[/C][C]30.9048522638523[/C][C]5.19514773614765[/C][/ROW]
[ROW][C]182[/C][C]18.1[/C][C]22.8290456603131[/C][C]-4.7290456603131[/C][/ROW]
[ROW][C]183[/C][C]14[/C][C]13.0292596176530[/C][C]0.970740382347014[/C][/ROW]
[ROW][C]184[/C][C]14[/C][C]12.1240245933732[/C][C]1.87597540662681[/C][/ROW]
[ROW][C]185[/C][C]15[/C][C]10.8673735488390[/C][C]4.13262645116101[/C][/ROW]
[ROW][C]186[/C][C]14[/C][C]13.6247263971086[/C][C]0.375273602891430[/C][/ROW]
[ROW][C]187[/C][C]14.5[/C][C]15.5626371959393[/C][C]-1.06263719593926[/C][/ROW]
[ROW][C]188[/C][C]16[/C][C]13.6433233974771[/C][C]2.3566766025229[/C][/ROW]
[ROW][C]189[/C][C]13[/C][C]11.2207868198090[/C][C]1.77921318019103[/C][/ROW]
[ROW][C]190[/C][C]14[/C][C]10.4664685581934[/C][C]3.5335314418066[/C][/ROW]
[ROW][C]191[/C][C]18.5[/C][C]20.9997508655774[/C][C]-2.49975086557735[/C][/ROW]
[ROW][C]192[/C][C]18[/C][C]20.4157904570344[/C][C]-2.41579045703445[/C][/ROW]
[ROW][C]193[/C][C]20.2[/C][C]26.0607939117851[/C][C]-5.86079391178508[/C][/ROW]
[ROW][C]194[/C][C]22[/C][C]28.4887234650783[/C][C]-6.4887234650783[/C][/ROW]
[ROW][C]195[/C][C]13[/C][C]12.1451393507536[/C][C]0.854860649246412[/C][/ROW]
[ROW][C]196[/C][C]14[/C][C]11.947726453901[/C][C]2.05227354609899[/C][/ROW]
[ROW][C]197[/C][C]17.6[/C][C]20.4725341727915[/C][C]-2.87253417279153[/C][/ROW]
[ROW][C]198[/C][C]15[/C][C]22.4207295451384[/C][C]-7.42072954513835[/C][/ROW]
[ROW][C]199[/C][C]18[/C][C]21.2577537597315[/C][C]-3.25775375973147[/C][/ROW]
[ROW][C]200[/C][C]21[/C][C]20.6550463264272[/C][C]0.344953673572788[/C][/ROW]
[ROW][C]201[/C][C]24[/C][C]22.6645934206717[/C][C]1.33540657932834[/C][/ROW]
[ROW][C]202[/C][C]18[/C][C]18.7536684824764[/C][C]-0.75366848247641[/C][/ROW]
[ROW][C]203[/C][C]27[/C][C]28.1080371457606[/C][C]-1.10803714576059[/C][/ROW]
[ROW][C]204[/C][C]13[/C][C]20.9846557407931[/C][C]-7.98465574079314[/C][/ROW]
[ROW][C]205[/C][C]25.5[/C][C]24.4190361097994[/C][C]1.08096389020062[/C][/ROW]
[ROW][C]206[/C][C]18[/C][C]20.8439217240723[/C][C]-2.84392172407230[/C][/ROW]
[ROW][C]207[/C][C]19[/C][C]24.1517457509621[/C][C]-5.15174575096211[/C][/ROW]
[ROW][C]208[/C][C]23[/C][C]23.8474112178197[/C][C]-0.847411217819685[/C][/ROW]
[ROW][C]209[/C][C]26[/C][C]23.9153197762747[/C][C]2.08468022372530[/C][/ROW]
[ROW][C]210[/C][C]26.5[/C][C]25.0520743643356[/C][C]1.44792563566440[/C][/ROW]
[ROW][C]211[/C][C]22[/C][C]22.588395106967[/C][C]-0.588395106967016[/C][/ROW]
[ROW][C]212[/C][C]21[/C][C]23.7620015424993[/C][C]-2.76200154249933[/C][/ROW]
[ROW][C]213[/C][C]28[/C][C]29.1002710025261[/C][C]-1.10027100252611[/C][/ROW]
[ROW][C]214[/C][C]16[/C][C]15.7234435930908[/C][C]0.276556406909202[/C][/ROW]
[ROW][C]215[/C][C]17[/C][C]14.9019408311783[/C][C]2.09805916882174[/C][/ROW]
[ROW][C]216[/C][C]19[/C][C]17.7389789057253[/C][C]1.26102109427472[/C][/ROW]
[ROW][C]217[/C][C]9[/C][C]6.00957597784074[/C][C]2.99042402215926[/C][/ROW]
[ROW][C]218[/C][C]32.4[/C][C]32.3364210537643[/C][C]0.0635789462356846[/C][/ROW]
[ROW][C]219[/C][C]36[/C][C]34.2085496006486[/C][C]1.79145039935137[/C][/ROW]
[ROW][C]220[/C][C]31.5[/C][C]31.62496496159[/C][C]-0.124964961590032[/C][/ROW]
[ROW][C]221[/C][C]29.5[/C][C]31.6477615608057[/C][C]-2.14776156080571[/C][/ROW]
[ROW][C]222[/C][C]24[/C][C]26.0378226771787[/C][C]-2.03782267717872[/C][/ROW]
[ROW][C]223[/C][C]33[/C][C]32.5434221671085[/C][C]0.456577832891547[/C][/ROW]
[ROW][C]224[/C][C]38[/C][C]35.6204027170895[/C][C]2.37959728291046[/C][/ROW]
[ROW][C]225[/C][C]32[/C][C]35.6757748422974[/C][C]-3.67577484229744[/C][/ROW]
[ROW][C]226[/C][C]35.1[/C][C]36.1935156717064[/C][C]-1.09351567170639[/C][/ROW]
[ROW][C]227[/C][C]44.6[/C][C]34.7431193703223[/C][C]9.8568806296777[/C][/ROW]
[ROW][C]228[/C][C]33[/C][C]31.7743055316086[/C][C]1.22569446839144[/C][/ROW]
[ROW][C]229[/C][C]36.1[/C][C]33.8575368403904[/C][C]2.24246315960963[/C][/ROW]
[ROW][C]230[/C][C]33.7[/C][C]33.3900604373096[/C][C]0.309939562690409[/C][/ROW]
[ROW][C]231[/C][C]34.1[/C][C]33.1545123736533[/C][C]0.945487626346694[/C][/ROW]
[ROW][C]232[/C][C]18[/C][C]27.0094928614788[/C][C]-9.0094928614788[/C][/ROW]
[ROW][C]233[/C][C]31.3[/C][C]30.9421277519168[/C][C]0.357872248083203[/C][/ROW]
[ROW][C]234[/C][C]31.6[/C][C]31.1765548600197[/C][C]0.423445139980348[/C][/ROW]
[ROW][C]235[/C][C]46.6[/C][C]33.2392156527889[/C][C]13.3607843472111[/C][/ROW]
[ROW][C]236[/C][C]34.1[/C][C]34.7700876674134[/C][C]-0.670087667413412[/C][/ROW]
[ROW][C]237[/C][C]31[/C][C]35.7743352260431[/C][C]-4.77433522604314[/C][/ROW]
[ROW][C]238[/C][C]37[/C][C]35.4527259206442[/C][C]1.54727407935582[/C][/ROW]
[ROW][C]239[/C][C]32.8[/C][C]32.687170224808[/C][C]0.112829775192019[/C][/ROW]
[ROW][C]240[/C][C]21.5[/C][C]25.9943288374680[/C][C]-4.49432883746803[/C][/ROW]
[ROW][C]241[/C][C]23.7[/C][C]30.2014700570826[/C][C]-6.50147005708263[/C][/ROW]
[ROW][C]242[/C][C]19[/C][C]24.7228425438662[/C][C]-5.7228425438662[/C][/ROW]
[ROW][C]243[/C][C]25.4[/C][C]24.5022615417679[/C][C]0.89773845823214[/C][/ROW]
[ROW][C]244[/C][C]30[/C][C]27.0770054331579[/C][C]2.92299456684206[/C][/ROW]
[ROW][C]245[/C][C]16.5[/C][C]18.3249409669513[/C][C]-1.82494096695134[/C][/ROW]
[ROW][C]246[/C][C]23[/C][C]22.8274793181344[/C][C]0.172520681865629[/C][/ROW]
[ROW][C]247[/C][C]21[/C][C]22.1205400562471[/C][C]-1.12054005624706[/C][/ROW]
[ROW][C]248[/C][C]15[/C][C]15.1940324319628[/C][C]-0.194032431962800[/C][/ROW]
[ROW][C]249[/C][C]16.5[/C][C]19.9246275973087[/C][C]-3.42462759730871[/C][/ROW]
[ROW][C]250[/C][C]36[/C][C]31.9887501271363[/C][C]4.01124987286371[/C][/ROW]
[ROW][C]251[/C][C]11[/C][C]10.3592636574698[/C][C]0.640736342530218[/C][/ROW]
[ROW][C]252[/C][C]12[/C][C]9.21706421833176[/C][C]2.78293578166824[/C][/ROW]
[ROW][C]253[/C][C]15[/C][C]20.7007388482540[/C][C]-5.70073884825403[/C][/ROW]
[ROW][C]254[/C][C]20.2[/C][C]20.5063203114386[/C][C]-0.30632031143863[/C][/ROW]
[ROW][C]255[/C][C]20.8[/C][C]23.6855184309203[/C][C]-2.88551843092029[/C][/ROW]
[ROW][C]256[/C][C]19.8[/C][C]25.1180306542284[/C][C]-5.31803065422837[/C][/ROW]
[ROW][C]257[/C][C]36[/C][C]34.5858542262379[/C][C]1.41414577376214[/C][/ROW]
[ROW][C]258[/C][C]38[/C][C]28.6731041548616[/C][C]9.32689584513842[/C][/ROW]
[ROW][C]259[/C][C]26.6[/C][C]24.0569431029270[/C][C]2.54305689707296[/C][/ROW]
[ROW][C]260[/C][C]19.9[/C][C]21.6157446627374[/C][C]-1.71574466273736[/C][/ROW]
[ROW][C]261[/C][C]23.9[/C][C]22.9173600968853[/C][C]0.982639903114749[/C][/ROW]
[ROW][C]262[/C][C]17[/C][C]16.4518613811490[/C][C]0.548138618851039[/C][/ROW]
[ROW][C]263[/C][C]12[/C][C]10.7232526337066[/C][C]1.27674736629341[/C][/ROW]
[ROW][C]264[/C][C]11[/C][C]16.2534769308848[/C][C]-5.25347693088479[/C][/ROW]
[ROW][C]265[/C][C]26.8[/C][C]25.4518686503898[/C][C]1.34813134961023[/C][/ROW]
[ROW][C]266[/C][C]23.8[/C][C]25.003909041445[/C][C]-1.20390904144503[/C][/ROW]
[ROW][C]267[/C][C]12[/C][C]10.7689607385421[/C][C]1.23103926145789[/C][/ROW]
[ROW][C]268[/C][C]25[/C][C]29.5190606341166[/C][C]-4.51906063411657[/C][/ROW]
[ROW][C]269[/C][C]28[/C][C]25.8917832181846[/C][C]2.10821678181535[/C][/ROW]
[ROW][C]270[/C][C]24[/C][C]27.6023801665282[/C][C]-3.60238016652819[/C][/ROW]
[ROW][C]271[/C][C]26[/C][C]26.8372848948843[/C][C]-0.837284894884293[/C][/ROW]
[ROW][C]272[/C][C]30[/C][C]26.1321181902339[/C][C]3.86788180976612[/C][/ROW]
[ROW][C]273[/C][C]19[/C][C]22.8373028082669[/C][C]-3.8373028082669[/C][/ROW]
[ROW][C]274[/C][C]23[/C][C]23.7730212245795[/C][C]-0.773021224579534[/C][/ROW]
[ROW][C]275[/C][C]25[/C][C]21.6182945471426[/C][C]3.38170545285742[/C][/ROW]
[ROW][C]276[/C][C]27.2[/C][C]26.7472835734386[/C][C]0.452716426561396[/C][/ROW]
[ROW][C]277[/C][C]21[/C][C]21.5102530105412[/C][C]-0.510253010541234[/C][/ROW]
[ROW][C]278[/C][C]28.1[/C][C]27.5212175517463[/C][C]0.578782448253719[/C][/ROW]
[ROW][C]279[/C][C]16.2[/C][C]22.2027813523233[/C][C]-6.00278135232327[/C][/ROW]
[ROW][C]280[/C][C]14[/C][C]14.1780409730519[/C][C]-0.178040973051911[/C][/ROW]
[ROW][C]281[/C][C]25.5[/C][C]26.8896301361788[/C][C]-1.38963013617876[/C][/ROW]
[ROW][C]282[/C][C]39[/C][C]32.6394835433679[/C][C]6.36051645663205[/C][/ROW]
[ROW][C]283[/C][C]26[/C][C]24.6674983057201[/C][C]1.33250169427990[/C][/ROW]
[ROW][C]284[/C][C]13[/C][C]10.1900237974716[/C][C]2.80997620252841[/C][/ROW]
[ROW][C]285[/C][C]20[/C][C]20.1170658467936[/C][C]-0.117065846793644[/C][/ROW]
[ROW][C]286[/C][C]22[/C][C]18.7349483846426[/C][C]3.26505161535737[/C][/ROW]
[ROW][C]287[/C][C]23[/C][C]20.6291434469076[/C][C]2.37085655309242[/C][/ROW]
[ROW][C]288[/C][C]18[/C][C]17.1560814056771[/C][C]0.843918594322912[/C][/ROW]
[ROW][C]289[/C][C]14[/C][C]12.463474764211[/C][C]1.53652523578900[/C][/ROW]
[ROW][C]290[/C][C]14[/C][C]11.7369304939522[/C][C]2.26306950604784[/C][/ROW]
[ROW][C]291[/C][C]14[/C][C]10.8979663301621[/C][C]3.10203366983787[/C][/ROW]
[ROW][C]292[/C][C]15[/C][C]12.2918039700911[/C][C]2.70819602990887[/C][/ROW]
[ROW][C]293[/C][C]16[/C][C]12.2661183851677[/C][C]3.7338816148323[/C][/ROW]
[ROW][C]294[/C][C]34.2[/C][C]28.9979185608288[/C][C]5.20208143917117[/C][/ROW]
[ROW][C]295[/C][C]34.7[/C][C]30.7130760866114[/C][C]3.98692391338865[/C][/ROW]
[ROW][C]296[/C][C]38[/C][C]32.078216989974[/C][C]5.92178301002597[/C][/ROW]
[ROW][C]297[/C][C]34.5[/C][C]29.4679129284168[/C][C]5.03208707158315[/C][/ROW]
[ROW][C]298[/C][C]27.2[/C][C]29.2685094564121[/C][C]-2.06850945641207[/C][/ROW]
[ROW][C]299[/C][C]30[/C][C]29.7516112889550[/C][C]0.248388711044954[/C][/ROW]
[ROW][C]300[/C][C]23.2[/C][C]25.4270825024087[/C][C]-2.22708250240866[/C][/ROW]
[ROW][C]301[/C][C]18[/C][C]15.2305510068972[/C][C]2.76944899310276[/C][/ROW]
[ROW][C]302[/C][C]16[/C][C]15.9110712909174[/C][C]0.0889287090826203[/C][/ROW]
[ROW][C]303[/C][C]14[/C][C]12.7205577674846[/C][C]1.27944223251538[/C][/ROW]
[ROW][C]304[/C][C]18[/C][C]17.1536483060682[/C][C]0.846351693931836[/C][/ROW]
[ROW][C]305[/C][C]18[/C][C]19.6781303576365[/C][C]-1.67813035763651[/C][/ROW]
[ROW][C]306[/C][C]22[/C][C]21.2615521332552[/C][C]0.738447866744777[/C][/ROW]
[ROW][C]307[/C][C]19[/C][C]20.4148824280065[/C][C]-1.41488242800655[/C][/ROW]
[ROW][C]308[/C][C]20.5[/C][C]21.6360458031843[/C][C]-1.13604580318434[/C][/ROW]
[ROW][C]309[/C][C]19[/C][C]19.5564935566136[/C][C]-0.55649355661361[/C][/ROW]
[ROW][C]310[/C][C]13[/C][C]16.6847057205303[/C][C]-3.68470572053029[/C][/ROW]
[ROW][C]311[/C][C]23[/C][C]24.3723711460176[/C][C]-1.37237114601757[/C][/ROW]
[ROW][C]312[/C][C]14[/C][C]12.0072155935443[/C][C]1.99278440645572[/C][/ROW]
[ROW][C]313[/C][C]14[/C][C]10.4361924978150[/C][C]3.56380750218495[/C][/ROW]
[ROW][C]314[/C][C]16[/C][C]12.4906235049883[/C][C]3.50937649501166[/C][/ROW]
[ROW][C]315[/C][C]14[/C][C]10.6605167903749[/C][C]3.33948320962514[/C][/ROW]
[ROW][C]316[/C][C]19[/C][C]17.6154335018010[/C][C]1.38456649819904[/C][/ROW]
[ROW][C]317[/C][C]16[/C][C]12.3044055221096[/C][C]3.69559447789039[/C][/ROW]
[ROW][C]318[/C][C]16[/C][C]16.8374536174621[/C][C]-0.837453617462145[/C][/ROW]
[ROW][C]319[/C][C]31[/C][C]28.9450129860118[/C][C]2.05498701398821[/C][/ROW]
[ROW][C]320[/C][C]21.5[/C][C]23.3832282446142[/C][C]-1.88322824461423[/C][/ROW]
[ROW][C]321[/C][C]27[/C][C]28.8579867873446[/C][C]-1.85798678734458[/C][/ROW]
[ROW][C]322[/C][C]33.5[/C][C]27.3483701559878[/C][C]6.15162984401218[/C][/ROW]
[ROW][C]323[/C][C]19.2[/C][C]21.1426160858053[/C][C]-1.94261608580532[/C][/ROW]
[ROW][C]324[/C][C]13[/C][C]6.1638486382738[/C][C]6.8361513617262[/C][/ROW]
[ROW][C]325[/C][C]24.5[/C][C]24.8174610272577[/C][C]-0.317461027257735[/C][/ROW]
[ROW][C]326[/C][C]18.5[/C][C]18.9777877618933[/C][C]-0.477787761893321[/C][/ROW]
[ROW][C]327[/C][C]26[/C][C]26.4446168131823[/C][C]-0.44461681318234[/C][/ROW]
[ROW][C]328[/C][C]27[/C][C]29.1172361022955[/C][C]-2.11723610229552[/C][/ROW]
[ROW][C]329[/C][C]36[/C][C]32.6121743086129[/C][C]3.38782569138712[/C][/ROW]
[ROW][C]330[/C][C]25[/C][C]23.3219390564954[/C][C]1.67806094350457[/C][/ROW]
[ROW][C]331[/C][C]21.6[/C][C]26.6213754386819[/C][C]-5.02137543868186[/C][/ROW]
[ROW][C]332[/C][C]24[/C][C]23.5985847593477[/C][C]0.401415240652298[/C][/ROW]
[ROW][C]333[/C][C]25[/C][C]24.9483555739487[/C][C]0.0516444260512951[/C][/ROW]
[ROW][C]334[/C][C]26[/C][C]26.5199819674882[/C][C]-0.519981967488218[/C][/ROW]
[ROW][C]335[/C][C]32.3[/C][C]34.5376977302497[/C][C]-2.23769773024966[/C][/ROW]
[ROW][C]336[/C][C]30[/C][C]31.8556764536199[/C][C]-1.85567645361993[/C][/ROW]
[ROW][C]337[/C][C]33.8[/C][C]33.2396606681608[/C][C]0.560339331839241[/C][/ROW]
[ROW][C]338[/C][C]20[/C][C]26.5985309125805[/C][C]-6.59853091258053[/C][/ROW]
[ROW][C]339[/C][C]32[/C][C]31.5796681646640[/C][C]0.420331835336043[/C][/ROW]
[ROW][C]340[/C][C]21.1[/C][C]29.3277077835367[/C][C]-8.22770778353667[/C][/ROW]
[ROW][C]341[/C][C]28[/C][C]29.7924165005541[/C][C]-1.79241650055405[/C][/ROW]
[ROW][C]342[/C][C]29[/C][C]28.8763822010105[/C][C]0.123617798989512[/C][/ROW]
[ROW][C]343[/C][C]32.2[/C][C]32.3312234440398[/C][C]-0.131223444039747[/C][/ROW]
[ROW][C]344[/C][C]32.4[/C][C]32.6644325899318[/C][C]-0.264432589931794[/C][/ROW]
[ROW][C]345[/C][C]34[/C][C]34.2448774862028[/C][C]-0.244877486202757[/C][/ROW]
[ROW][C]346[/C][C]31[/C][C]28.2347063310000[/C][C]2.76529366899997[/C][/ROW]
[ROW][C]347[/C][C]32[/C][C]30.3012390203009[/C][C]1.69876097969909[/C][/ROW]
[ROW][C]348[/C][C]27[/C][C]26.8249051422518[/C][C]0.175094857748248[/C][/ROW]
[ROW][C]349[/C][C]26[/C][C]29.9736866504639[/C][C]-3.97368665046393[/C][/ROW]
[ROW][C]350[/C][C]38.1[/C][C]34.4261361835644[/C][C]3.67386381643556[/C][/ROW]
[ROW][C]351[/C][C]24[/C][C]25.6207677235606[/C][C]-1.62076772356064[/C][/ROW]
[ROW][C]352[/C][C]25[/C][C]25.2475655009923[/C][C]-0.247565500992309[/C][/ROW]
[ROW][C]353[/C][C]27.5[/C][C]28.9782786761979[/C][C]-1.47827867619795[/C][/ROW]
[ROW][C]354[/C][C]31[/C][C]31.556395442714[/C][C]-0.556395442714031[/C][/ROW]
[ROW][C]355[/C][C]24[/C][C]25.8077277877414[/C][C]-1.80772778774141[/C][/ROW]
[ROW][C]356[/C][C]29.8[/C][C]29.712815818175[/C][C]0.0871841818249851[/C][/ROW]
[ROW][C]357[/C][C]24[/C][C]23.5833462835603[/C][C]0.416653716439685[/C][/ROW]
[ROW][C]358[/C][C]25.4[/C][C]28.3552663366123[/C][C]-2.95526633661232[/C][/ROW]
[ROW][C]359[/C][C]19[/C][C]24.3559429056950[/C][C]-5.35594290569497[/C][/ROW]
[ROW][C]360[/C][C]20[/C][C]22.4374647674928[/C][C]-2.43746476749277[/C][/ROW]
[ROW][C]361[/C][C]39.1[/C][C]36.2787596611743[/C][C]2.82124033882574[/C][/ROW]
[ROW][C]362[/C][C]37.7[/C][C]34.4978901421259[/C][C]3.20210985787405[/C][/ROW]
[ROW][C]363[/C][C]23[/C][C]24.3301407508056[/C][C]-1.33014075080563[/C][/ROW]
[ROW][C]364[/C][C]35[/C][C]30.6224629859301[/C][C]4.37753701406987[/C][/ROW]
[ROW][C]365[/C][C]29.8[/C][C]34.7150600086545[/C][C]-4.9150600086545[/C][/ROW]
[ROW][C]366[/C][C]26[/C][C]27.9059948230213[/C][C]-1.90599482302132[/C][/ROW]
[ROW][C]367[/C][C]22[/C][C]24.7560549765919[/C][C]-2.75605497659188[/C][/ROW]
[ROW][C]368[/C][C]25[/C][C]28.2486512238927[/C][C]-3.24865122389273[/C][/ROW]
[ROW][C]369[/C][C]26[/C][C]28.9461898937472[/C][C]-2.9461898937472[/C][/ROW]
[ROW][C]370[/C][C]30.5[/C][C]29.8748667517943[/C][C]0.625133248205712[/C][/ROW]
[ROW][C]371[/C][C]33[/C][C]33.2554478201779[/C][C]-0.255447820177882[/C][/ROW]
[ROW][C]372[/C][C]27[/C][C]28.3165090956889[/C][C]-1.31650909568888[/C][/ROW]
[ROW][C]373[/C][C]29[/C][C]29.9882469583331[/C][C]-0.98824695833314[/C][/ROW]
[ROW][C]374[/C][C]29.5[/C][C]31.5241184990363[/C][C]-2.02411849903631[/C][/ROW]
[ROW][C]375[/C][C]29[/C][C]31.584103998043[/C][C]-2.58410399804299[/C][/ROW]
[ROW][C]376[/C][C]43.1[/C][C]32.9905383164614[/C][C]10.1094616835386[/C][/ROW]
[ROW][C]377[/C][C]36[/C][C]35.5286687656404[/C][C]0.471331234359568[/C][/ROW]
[ROW][C]378[/C][C]31.5[/C][C]31.9927080412287[/C][C]-0.492708041228663[/C][/ROW]
[ROW][C]379[/C][C]26[/C][C]29.5049329836817[/C][C]-3.50493298368169[/C][/ROW]
[ROW][C]380[/C][C]23[/C][C]26.7402391475755[/C][C]-3.74023914757553[/C][/ROW]
[ROW][C]381[/C][C]19[/C][C]22.2851124867926[/C][C]-3.28511248679255[/C][/ROW]
[ROW][C]382[/C][C]18[/C][C]20.9928075434008[/C][C]-2.99280754340076[/C][/ROW]
[ROW][C]383[/C][C]22[/C][C]23.4979322477192[/C][C]-1.49793224771922[/C][/ROW]
[ROW][C]384[/C][C]20[/C][C]23.137328024017[/C][C]-3.13732802401699[/C][/ROW]
[ROW][C]385[/C][C]17[/C][C]23.986026099801[/C][C]-6.986026099801[/C][/ROW]
[ROW][C]386[/C][C]30.7[/C][C]27.1168915960262[/C][C]3.58310840397380[/C][/ROW]
[ROW][C]387[/C][C]43.4[/C][C]32.3699844293064[/C][C]11.0300155706936[/C][/ROW]
[ROW][C]388[/C][C]44[/C][C]35.4659764380706[/C][C]8.53402356192944[/C][/ROW]
[ROW][C]389[/C][C]29[/C][C]30.7810945046364[/C][C]-1.78109450463642[/C][/ROW]
[ROW][C]390[/C][C]41.5[/C][C]32.622432632669[/C][C]8.87756736733098[/C][/ROW]
[ROW][C]391[/C][C]44.3[/C][C]33.8893743891281[/C][C]10.4106256108719[/C][/ROW]
[ROW][C]392[/C][C]31.9[/C][C]33.134717216199[/C][C]-1.23471721619902[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117207&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117207&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	13	15.5306503833598	-2.53065038335978
2	15	13.2538181965878	1.74618180341217
3	17	14.9048047326538	2.09519526734622
4	19.4	23.4620154597908	-4.06201545979085
5	24.3	25.6716663386293	-1.37166633862928
6	18.1	22.0317630822510	-3.93176308225096
7	20.2	23.9490743078974	-3.74907430789742
8	18	22.0460911622980	-4.04609116229804
9	19	21.3739407518168	-2.37394075181683
10	20	22.8404500605893	-2.84045006058927
11	21	20.0517138944238	0.948286105576179
12	18	19.1184727641080	-1.11847276410803
13	18	21.0783742744385	-3.07837427443855
14	19	22.1506581151441	-3.15065811514414
15	22.5	22.7784008119154	-0.278400811915418
16	18	19.6540963803791	-1.65409638037907
17	14	15.6818316717548	-1.68183167175481
18	15	18.0436958250198	-3.04369582501984
19	15.5	16.8022522997112	-1.30225229971122
20	16	17.8451834943905	-1.84518349439046
21	18	17.1831071225406	0.816892877459366
22	14	12.8496960403855	1.15030395961445
23	15	13.5076232606422	1.49237673935781
24	19	21.1084036511582	-2.10840365115816
25	17.5	22.6020273578914	-5.10202735789141
26	16	14.9940841789004	1.00591582109956
27	27.4	26.1882471498395	1.21175285016050
28	24	22.8784120737337	1.12158792626626
29	20	24.2996300298262	-4.29963002982615
30	23	25.1324687096457	-2.13246870964574
31	34.3	32.3538434985713	1.94615650142872
32	20.3	26.3706111861237	-6.0706111861237
33	36.4	27.8506493782056	8.54935062179443
34	29	27.472093405058	1.52790659494201
35	26	23.9529226341737	2.04707736582633
36	21.5	27.0143919201809	-5.51439192018086
37	17	16.3667405177442	0.633259482255848
38	22.4	23.919075355761	-1.51907535576099
39	13	13.5768728435653	-0.576872843565337
40	25	26.6985124549422	-1.69851245494223
41	13	10.9076208453559	2.09237915464413
42	20.6	21.9137753031104	-1.31377530311037
43	12	9.3167143001292	2.68328569987079
44	14	19.4213968443725	-5.42139684437254
45	16.9	17.0082996542520	-0.108299654251955
46	13	10.5054922840415	2.49450771595848
47	30	27.8344340497555	2.16556595024448
48	17.7	20.1967452060727	-2.49674520607275
49	21	21.7167357242395	-0.716735724239508
50	20.5	20.9217944178898	-0.421794417889803
51	26.6	28.7345341875963	-2.13453418759629
52	15	14.0400984524762	0.95990154752379
53	28.4	26.8048748662984	1.59512513370155
54	23	20.838337864039	2.161662135961
55	16.5	13.8669360525985	2.63306394740150
56	25	24.7442663414816	0.255733658518398
57	16	16.7825983257136	-0.782598325713552
58	15	13.4740030756361	1.52599692436391
59	27	27.3598820747507	-0.359882074750678
60	13	12.7087087875538	0.291291212446185
61	17	19.9127985382105	-2.91279853821053
62	17.5	17.5881785298979	-0.0881785298979375
63	28	28.9581013925123	-0.95810139251228
64	34	30.2407172016434	3.75928279835664
65	27	28.6441349120428	-1.64413491204281
66	13	12.6795438972801	0.320456102719870
67	17	17.3395969658199	-0.339596965819891
68	18	14.9532521187173	3.04674788128267
69	16	16.7562387115656	-0.756238711565572
70	17.5	14.6936417463256	2.80635825367440
71	29	28.3337079207863	0.666292079213678
72	30	28.6524153461796	1.34758465382042
73	30.5	28.7037371945256	1.79626280547436
74	32.1	30.3258627047508	1.77413729524917
75	23.5	26.9053493347983	-3.40534933479826
76	28	27.5677702503861	0.432229749613906
77	28.8	26.0298941261463	2.77010587385372
78	17.5	20.6094333241187	-3.10943332411869
79	11	9.29028011968456	1.70971988031544
80	13	11.734970670678	1.26502932932201
81	14	11.3941186998565	2.60588130014354
82	14	10.9004654110139	3.0995345889861
83	13	14.8739397869971	-1.87393978699707
84	20.5	23.0519556937217	-2.55195569372168
85	19.2	20.6378264408747	-1.43782644087466
86	15	14.8972704217684	0.102729578231579
87	15.5	16.2131580942661	-0.713158094266136
88	19.2	21.4738023721633	-2.27380237216328
89	15	14.2431636790237	0.75683632097635
90	20	20.1407103758097	-0.140710375809735
91	15	19.7423596482482	-4.74235964824823
92	18	19.5239889834764	-1.52398898347638
93	22	20.8936620860624	1.10633791393758
94	16	19.4336380245463	-3.43363802454635
95	20	23.1369024756969	-3.1369024756969
96	21	24.2882044563889	-3.28820445638888
97	25	23.866759251385	1.13324074861498
98	22	22.6476263712896	-0.647626371289558
99	28	23.009758706893	4.99024129310699
100	24.5	27.6264127248051	-3.12641272480513
101	13	16.6763218317546	-3.6763218317546
102	10	8.06626378495905	1.93373621504095
103	31	28.4475379030899	2.55246209691009
104	15.5	16.0380419833115	-0.538041983311481
105	26	29.6712100724733	-3.67121007247328
106	17.6	23.9575533150052	-6.35755331500522
107	18.5	20.0070689798017	-1.50706897980174
108	13	10.588312251613	2.41168774838699
109	13	11.5257309382542	1.47426906174578
110	35	29.1805095432415	5.8194904567585
111	23.9	29.6777137526534	-5.77771375265345
112	32.9	30.5371532074897	2.36284679251029
113	31.8	33.1449785879386	-1.34497858793860
114	40.8	33.3180709555757	7.48192904442429
115	37	35.0168203590748	1.98317964092515
116	32.7	27.1252764884024	5.57472351159762
117	37.2	33.7312060543633	3.46879394563672
118	38	35.5140148364818	2.48598516351823
119	27.2	30.3664834788258	-3.16648347882576
120	28	25.5301705881552	2.46982941184484
121	37	31.1359941149569	5.86400588504305
122	22	25.8843992098881	-3.88439920988815
123	24	26.5732955331413	-2.57329553314133
124	32	29.3828763834963	2.61712361650369
125	22	25.7857926475817	-3.78579264758167
126	24.2	27.6486144312360	-3.44861443123596
127	32	30.7502652950378	1.24973470496223
128	31	29.5335113819027	1.46648861809732
129	39.4	31.8940533006677	7.50594669933228
130	33.5	31.8134389126685	1.68656108733151
131	27	24.9113336682058	2.08866633179415
132	27	25.6883606073069	1.31163939269313
133	29	29.8344038618583	-0.834403861858288
134	25.8	28.6514093853129	-2.85140938531294
135	18.6	20.2978927326112	-1.69789273261117
136	19.1	23.8193976980333	-4.71939769803327
137	20.6	22.6535031692065	-2.05350316920646
138	20	18.6385485508377	1.36145144916232
139	15	15.4941717677438	-0.494171767743808
140	36	30.6372042935678	5.36279570643215
141	26	26.3222285940260	-0.322228594026039
142	27.9	26.4301282707790	1.46987172922096
143	28	25.2682996410793	2.73170035892069
144	28	23.5930041319439	4.40699586805606
145	25	23.9942154787929	1.00578452120712
146	35.7	30.6556165317611	5.04438346823888
147	33.5	28.0920053550792	5.40799464492083
148	16	14.9912890814838	1.00871091851615
149	15	15.3920453907817	-0.392045390781749
150	14	11.6851141592778	2.31488584072215
151	13	17.9894092129040	-4.98940921290402
152	11	7.98927737009596	3.01072262990404
153	15	17.8099160369132	-2.80991603691325
154	19.4	19.7962229852331	-0.396222985233084
155	17.5	17.5206919792937	-0.0206919792937378
156	12	6.86716391516478	5.13283608483522
157	15.5	16.2501246723559	-0.750124672355856
158	30.9	28.0314967245269	2.86850327547308
159	32	31.0297388527053	0.970261147294687
160	18.2	20.1848868244501	-1.98488682445013
161	26	26.1800015118144	-0.180001511814401
162	26	27.6702387484031	-1.67023874840313
163	30	25.9037034793416	4.09629652065838
164	24	28.0914815672734	-4.09148156727336
165	29	29.1933092433122	-0.19330924331219
166	28	27.4642575401757	0.535742459824258
167	37.3	31.8987848114281	5.40121518857187
168	31	28.7374571990399	2.2625428009601
169	12	9.47315163259846	2.52684836740154
170	13	8.8986573046545	4.10134269534549
171	15.5	19.2745790521554	-3.77457905215541
172	29.9	29.8604428781868	0.0395571218131987
173	34.4	31.7524578988073	2.64754210119274
174	13	17.2768290505980	-4.27682905059803
175	10	7.3814951153992	2.6185048846008
176	26.4	26.1785431993189	0.221456800681091
177	20.2	24.3189160318847	-4.11891603188470
178	25.1	25.4174687429929	-0.317468742992924
179	22.3	25.2040261488613	-2.90402614886133
180	24	27.5589399807833	-3.55893998078325
181	36.1	30.9048522638523	5.19514773614765
182	18.1	22.8290456603131	-4.7290456603131
183	14	13.0292596176530	0.970740382347014
184	14	12.1240245933732	1.87597540662681
185	15	10.8673735488390	4.13262645116101
186	14	13.6247263971086	0.375273602891430
187	14.5	15.5626371959393	-1.06263719593926
188	16	13.6433233974771	2.3566766025229
189	13	11.2207868198090	1.77921318019103
190	14	10.4664685581934	3.5335314418066
191	18.5	20.9997508655774	-2.49975086557735
192	18	20.4157904570344	-2.41579045703445
193	20.2	26.0607939117851	-5.86079391178508
194	22	28.4887234650783	-6.4887234650783
195	13	12.1451393507536	0.854860649246412
196	14	11.947726453901	2.05227354609899
197	17.6	20.4725341727915	-2.87253417279153
198	15	22.4207295451384	-7.42072954513835
199	18	21.2577537597315	-3.25775375973147
200	21	20.6550463264272	0.344953673572788
201	24	22.6645934206717	1.33540657932834
202	18	18.7536684824764	-0.75366848247641
203	27	28.1080371457606	-1.10803714576059
204	13	20.9846557407931	-7.98465574079314
205	25.5	24.4190361097994	1.08096389020062
206	18	20.8439217240723	-2.84392172407230
207	19	24.1517457509621	-5.15174575096211
208	23	23.8474112178197	-0.847411217819685
209	26	23.9153197762747	2.08468022372530
210	26.5	25.0520743643356	1.44792563566440
211	22	22.588395106967	-0.588395106967016
212	21	23.7620015424993	-2.76200154249933
213	28	29.1002710025261	-1.10027100252611
214	16	15.7234435930908	0.276556406909202
215	17	14.9019408311783	2.09805916882174
216	19	17.7389789057253	1.26102109427472
217	9	6.00957597784074	2.99042402215926
218	32.4	32.3364210537643	0.0635789462356846
219	36	34.2085496006486	1.79145039935137
220	31.5	31.62496496159	-0.124964961590032
221	29.5	31.6477615608057	-2.14776156080571
222	24	26.0378226771787	-2.03782267717872
223	33	32.5434221671085	0.456577832891547
224	38	35.6204027170895	2.37959728291046
225	32	35.6757748422974	-3.67577484229744
226	35.1	36.1935156717064	-1.09351567170639
227	44.6	34.7431193703223	9.8568806296777
228	33	31.7743055316086	1.22569446839144
229	36.1	33.8575368403904	2.24246315960963
230	33.7	33.3900604373096	0.309939562690409
231	34.1	33.1545123736533	0.945487626346694
232	18	27.0094928614788	-9.0094928614788
233	31.3	30.9421277519168	0.357872248083203
234	31.6	31.1765548600197	0.423445139980348
235	46.6	33.2392156527889	13.3607843472111
236	34.1	34.7700876674134	-0.670087667413412
237	31	35.7743352260431	-4.77433522604314
238	37	35.4527259206442	1.54727407935582
239	32.8	32.687170224808	0.112829775192019
240	21.5	25.9943288374680	-4.49432883746803
241	23.7	30.2014700570826	-6.50147005708263
242	19	24.7228425438662	-5.7228425438662
243	25.4	24.5022615417679	0.89773845823214
244	30	27.0770054331579	2.92299456684206
245	16.5	18.3249409669513	-1.82494096695134
246	23	22.8274793181344	0.172520681865629
247	21	22.1205400562471	-1.12054005624706
248	15	15.1940324319628	-0.194032431962800
249	16.5	19.9246275973087	-3.42462759730871
250	36	31.9887501271363	4.01124987286371
251	11	10.3592636574698	0.640736342530218
252	12	9.21706421833176	2.78293578166824
253	15	20.7007388482540	-5.70073884825403
254	20.2	20.5063203114386	-0.30632031143863
255	20.8	23.6855184309203	-2.88551843092029
256	19.8	25.1180306542284	-5.31803065422837
257	36	34.5858542262379	1.41414577376214
258	38	28.6731041548616	9.32689584513842
259	26.6	24.0569431029270	2.54305689707296
260	19.9	21.6157446627374	-1.71574466273736
261	23.9	22.9173600968853	0.982639903114749
262	17	16.4518613811490	0.548138618851039
263	12	10.7232526337066	1.27674736629341
264	11	16.2534769308848	-5.25347693088479
265	26.8	25.4518686503898	1.34813134961023
266	23.8	25.003909041445	-1.20390904144503
267	12	10.7689607385421	1.23103926145789
268	25	29.5190606341166	-4.51906063411657
269	28	25.8917832181846	2.10821678181535
270	24	27.6023801665282	-3.60238016652819
271	26	26.8372848948843	-0.837284894884293
272	30	26.1321181902339	3.86788180976612
273	19	22.8373028082669	-3.8373028082669
274	23	23.7730212245795	-0.773021224579534
275	25	21.6182945471426	3.38170545285742
276	27.2	26.7472835734386	0.452716426561396
277	21	21.5102530105412	-0.510253010541234
278	28.1	27.5212175517463	0.578782448253719
279	16.2	22.2027813523233	-6.00278135232327
280	14	14.1780409730519	-0.178040973051911
281	25.5	26.8896301361788	-1.38963013617876
282	39	32.6394835433679	6.36051645663205
283	26	24.6674983057201	1.33250169427990
284	13	10.1900237974716	2.80997620252841
285	20	20.1170658467936	-0.117065846793644
286	22	18.7349483846426	3.26505161535737
287	23	20.6291434469076	2.37085655309242
288	18	17.1560814056771	0.843918594322912
289	14	12.463474764211	1.53652523578900
290	14	11.7369304939522	2.26306950604784
291	14	10.8979663301621	3.10203366983787
292	15	12.2918039700911	2.70819602990887
293	16	12.2661183851677	3.7338816148323
294	34.2	28.9979185608288	5.20208143917117
295	34.7	30.7130760866114	3.98692391338865
296	38	32.078216989974	5.92178301002597
297	34.5	29.4679129284168	5.03208707158315
298	27.2	29.2685094564121	-2.06850945641207
299	30	29.7516112889550	0.248388711044954
300	23.2	25.4270825024087	-2.22708250240866
301	18	15.2305510068972	2.76944899310276
302	16	15.9110712909174	0.0889287090826203
303	14	12.7205577674846	1.27944223251538
304	18	17.1536483060682	0.846351693931836
305	18	19.6781303576365	-1.67813035763651
306	22	21.2615521332552	0.738447866744777
307	19	20.4148824280065	-1.41488242800655
308	20.5	21.6360458031843	-1.13604580318434
309	19	19.5564935566136	-0.55649355661361
310	13	16.6847057205303	-3.68470572053029
311	23	24.3723711460176	-1.37237114601757
312	14	12.0072155935443	1.99278440645572
313	14	10.4361924978150	3.56380750218495
314	16	12.4906235049883	3.50937649501166
315	14	10.6605167903749	3.33948320962514
316	19	17.6154335018010	1.38456649819904
317	16	12.3044055221096	3.69559447789039
318	16	16.8374536174621	-0.837453617462145
319	31	28.9450129860118	2.05498701398821
320	21.5	23.3832282446142	-1.88322824461423
321	27	28.8579867873446	-1.85798678734458
322	33.5	27.3483701559878	6.15162984401218
323	19.2	21.1426160858053	-1.94261608580532
324	13	6.1638486382738	6.8361513617262
325	24.5	24.8174610272577	-0.317461027257735
326	18.5	18.9777877618933	-0.477787761893321
327	26	26.4446168131823	-0.44461681318234
328	27	29.1172361022955	-2.11723610229552
329	36	32.6121743086129	3.38782569138712
330	25	23.3219390564954	1.67806094350457
331	21.6	26.6213754386819	-5.02137543868186
332	24	23.5985847593477	0.401415240652298
333	25	24.9483555739487	0.0516444260512951
334	26	26.5199819674882	-0.519981967488218
335	32.3	34.5376977302497	-2.23769773024966
336	30	31.8556764536199	-1.85567645361993
337	33.8	33.2396606681608	0.560339331839241
338	20	26.5985309125805	-6.59853091258053
339	32	31.5796681646640	0.420331835336043
340	21.1	29.3277077835367	-8.22770778353667
341	28	29.7924165005541	-1.79241650055405
342	29	28.8763822010105	0.123617798989512
343	32.2	32.3312234440398	-0.131223444039747
344	32.4	32.6644325899318	-0.264432589931794
345	34	34.2448774862028	-0.244877486202757
346	31	28.2347063310000	2.76529366899997
347	32	30.3012390203009	1.69876097969909
348	27	26.8249051422518	0.175094857748248
349	26	29.9736866504639	-3.97368665046393
350	38.1	34.4261361835644	3.67386381643556
351	24	25.6207677235606	-1.62076772356064
352	25	25.2475655009923	-0.247565500992309
353	27.5	28.9782786761979	-1.47827867619795
354	31	31.556395442714	-0.556395442714031
355	24	25.8077277877414	-1.80772778774141
356	29.8	29.712815818175	0.0871841818249851
357	24	23.5833462835603	0.416653716439685
358	25.4	28.3552663366123	-2.95526633661232
359	19	24.3559429056950	-5.35594290569497
360	20	22.4374647674928	-2.43746476749277
361	39.1	36.2787596611743	2.82124033882574
362	37.7	34.4978901421259	3.20210985787405
363	23	24.3301407508056	-1.33014075080563
364	35	30.6224629859301	4.37753701406987
365	29.8	34.7150600086545	-4.9150600086545
366	26	27.9059948230213	-1.90599482302132
367	22	24.7560549765919	-2.75605497659188
368	25	28.2486512238927	-3.24865122389273
369	26	28.9461898937472	-2.9461898937472
370	30.5	29.8748667517943	0.625133248205712
371	33	33.2554478201779	-0.255447820177882
372	27	28.3165090956889	-1.31650909568888
373	29	29.9882469583331	-0.98824695833314
374	29.5	31.5241184990363	-2.02411849903631
375	29	31.584103998043	-2.58410399804299
376	43.1	32.9905383164614	10.1094616835386
377	36	35.5286687656404	0.471331234359568
378	31.5	31.9927080412287	-0.492708041228663
379	26	29.5049329836817	-3.50493298368169
380	23	26.7402391475755	-3.74023914757553
381	19	22.2851124867926	-3.28511248679255
382	18	20.9928075434008	-2.99280754340076
383	22	23.4979322477192	-1.49793224771922
384	20	23.137328024017	-3.13732802401699
385	17	23.986026099801	-6.986026099801
386	30.7	27.1168915960262	3.58310840397380
387	43.4	32.3699844293064	11.0300155706936
388	44	35.4659764380706	8.53402356192944
389	29	30.7810945046364	-1.78109450463642
390	41.5	32.622432632669	8.87756736733098
391	44.3	33.8893743891281	10.4106256108719
392	31.9	33.134717216199	-1.23471721619902

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
12	0.239204321578649	0.478408643157297	0.760795678421351
13	0.127450171550827	0.254900343101653	0.872549828449173
14	0.0598635064608886	0.119727012921777	0.940136493539111
15	0.0813597982759425	0.162719596551885	0.918640201724057
16	0.0458947927084698	0.0917895854169396	0.95410520729153
17	0.0298352903570718	0.0596705807141436	0.970164709642928
18	0.038107321098309	0.076214642196618	0.961892678901691
19	0.0201091769297293	0.0402183538594587	0.97989082307027
20	0.0102340547306573	0.0204681094613145	0.989765945269343
21	0.00526091658270468	0.0105218331654094	0.994739083417295
22	0.00254279028522337	0.00508558057044675	0.997457209714777
23	0.00117855743913188	0.00235711487826376	0.998821442560868
24	0.000529431827658454	0.00105886365531691	0.999470568172341
25	0.000254263533376035	0.00050852706675207	0.999745736466624
26	0.000123074838838487	0.000246149677676973	0.999876925161161
27	5.65202080174117e-05	0.000113040416034823	0.999943479791983
28	2.28348831231655e-05	4.5669766246331e-05	0.999977165116877
29	8.79242847601574e-05	0.000175848569520315	0.99991207571524
30	4.01027737543953e-05	8.02055475087906e-05	0.999959897226246
31	0.00134614194416478	0.00269228388832955	0.998653858055835
32	0.00547996433430724	0.0109599286686145	0.994520035665693
33	0.241318204965726	0.482636409931453	0.758681795034274
34	0.211145580134514	0.422291160269029	0.788854419865486
35	0.187564055694756	0.375128111389513	0.812435944305244
36	0.237166054561693	0.474332109123386	0.762833945438307
37	0.195103656558955	0.39020731311791	0.804896343441045
38	0.161487730478130	0.322975460956259	0.83851226952187
39	0.129161576671505	0.25832315334301	0.870838423328495
40	0.105840691918652	0.211681383837305	0.894159308081348
41	0.0940595973820266	0.188119194764053	0.905940402617973
42	0.0737229292526294	0.147445858505259	0.92627707074737
43	0.0953306283507297	0.190661256701459	0.90466937164927
44	0.0819956542599098	0.163991308519820	0.91800434574009
45	0.0640357408575588	0.128071481715118	0.935964259142441
46	0.0517893445718279	0.103578689143656	0.948210655428172
47	0.0721100212343537	0.144220042468707	0.927889978765646
48	0.0659198553790893	0.131839710758179	0.93408014462091
49	0.052454885655234	0.104909771310468	0.947545114344766
50	0.0407925600904770	0.0815851201809541	0.959207439909523
51	0.0322447137393394	0.0644894274786789	0.96775528626066
52	0.0260728047102138	0.0521456094204276	0.973927195289786
53	0.0298084635037449	0.0596169270074898	0.970191536496255
54	0.037354063903892	0.074708127807784	0.962645936096108
55	0.0327245865058912	0.0654491730117823	0.96727541349411
56	0.0271757840844449	0.0543515681688897	0.972824215915555
57	0.0211402620019690	0.0422805240039381	0.97885973799803
58	0.0163569373740247	0.0327138747480494	0.983643062625975
59	0.0127274553688145	0.0254549107376289	0.987272544631186
60	0.00944661568486178	0.0188932313697236	0.990553384315138
61	0.00866362857414123	0.0173272571482825	0.991336371425859
62	0.00634863782586447	0.0126972756517289	0.993651362174136
63	0.00470931005173261	0.00941862010346522	0.995290689948267
64	0.00915745298977019	0.0183149059795404	0.99084254701023
65	0.00703826984112367	0.0140765396822473	0.992961730158876
66	0.00521778340239028	0.0104355668047806	0.99478221659761
67	0.00381572438935445	0.00763144877870891	0.996184275610646
68	0.00403366713612535	0.0080673342722507	0.995966332863875
69	0.00298622319344474	0.00597244638688949	0.997013776806555
70	0.00241505161739883	0.00483010323479765	0.997584948382601
71	0.00203762721490406	0.00407525442980812	0.997962372785096
72	0.00176052614341885	0.00352105228683769	0.998239473856581
73	0.0016587850230882	0.0033175700461764	0.998341214976912
74	0.00147452348970290	0.00294904697940580	0.998525476510297
75	0.00167945567277855	0.00335891134555711	0.998320544327221
76	0.00131224953910471	0.00262449907820943	0.998687750460895
77	0.00122955761265787	0.00245911522531575	0.998770442387342
78	0.00112081072310300	0.00224162144620599	0.998879189276897
79	0.000897329193743365	0.00179465838748673	0.999102670806257
80	0.000648213878737871	0.00129642775747574	0.999351786121262
81	0.000539109650073638	0.00107821930014728	0.999460890349926
82	0.000722223858295084	0.00144444771659017	0.999277776141705
83	0.000565969139905631	0.00113193827981126	0.999434030860094
84	0.000474308411941891	0.000948616823883782	0.999525691588058
85	0.000355067176027715	0.00071013435205543	0.999644932823972
86	0.000266744958686388	0.000533489917372776	0.999733255041314
87	0.000191053136614769	0.000382106273229537	0.999808946863385
88	0.000142535843597587	0.000285071687195175	0.999857464156402
89	0.000100916039724234	0.000201832079448467	0.999899083960276
90	6.9110973360128e-05	0.000138221946720256	0.99993088902664
91	9.69522708262066e-05	0.000193904541652413	0.999903047729174
92	6.99442575929416e-05	0.000139888515185883	0.999930055742407
93	5.37870512930481e-05	0.000107574102586096	0.999946212948707
94	4.78208803334762e-05	9.56417606669524e-05	0.999952179119667
95	4.07459399036579e-05	8.14918798073159e-05	0.999959254060096
96	3.36550715951034e-05	6.73101431902068e-05	0.999966344928405
97	2.59577647935411e-05	5.19155295870822e-05	0.999974042235206
98	1.79467854018835e-05	3.58935708037670e-05	0.999982053214598
99	4.18276697376868e-05	8.36553394753735e-05	0.999958172330262
100	3.2938265910107e-05	6.5876531820214e-05	0.99996706173409
101	3.78927321931971e-05	7.57854643863942e-05	0.999962107267807
102	2.65508176004433e-05	5.31016352008867e-05	0.9999734491824
103	2.93364932647647e-05	5.86729865295295e-05	0.999970663506735
104	2.03446870028639e-05	4.06893740057278e-05	0.999979655312997
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359	0.20257576416839	0.40515152833678	0.79742423583161
360	0.253477326464665	0.506954652929329	0.746522673535335
361	0.221654859340653	0.443309718681305	0.778345140659347
362	0.241429433422859	0.482858866845718	0.758570566577141
363	0.196167024460087	0.392334048920174	0.803832975539913
364	0.192519924268099	0.385039848536197	0.807480075731901
365	0.409675866444954	0.819351732889908	0.590324133555046
366	0.363753923486601	0.727507846973201	0.636246076513399
367	0.316246332902289	0.632492665804578	0.683753667097711
368	0.332786985373042	0.665573970746083	0.667213014626958
369	0.346139046114959	0.692278092229918	0.653860953885041
370	0.277466395981654	0.554932791963308	0.722533604018346
371	0.24606343065014	0.49212686130028	0.75393656934986
372	0.316326621399135	0.632653242798269	0.683673378600866
373	0.247189313885861	0.494378627771722	0.752810686114139
374	0.234049310920844	0.468098621841688	0.765950689079156
375	0.169430442636410	0.338860885272821	0.83056955736359
376	0.336224772714279	0.672449545428559	0.663775227285721
377	0.268589595106043	0.537179190212087	0.731410404893956
378	0.237610766678842	0.475221533357684	0.762389233321158
379	0.191519739792931	0.383039479585862	0.80848026020707
380	0.106968571841866	0.213937143683733	0.893031428158134

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
12 & 0.239204321578649 & 0.478408643157297 & 0.760795678421351 \tabularnewline
13 & 0.127450171550827 & 0.254900343101653 & 0.872549828449173 \tabularnewline
14 & 0.0598635064608886 & 0.119727012921777 & 0.940136493539111 \tabularnewline
15 & 0.0813597982759425 & 0.162719596551885 & 0.918640201724057 \tabularnewline
16 & 0.0458947927084698 & 0.0917895854169396 & 0.95410520729153 \tabularnewline
17 & 0.0298352903570718 & 0.0596705807141436 & 0.970164709642928 \tabularnewline
18 & 0.038107321098309 & 0.076214642196618 & 0.961892678901691 \tabularnewline
19 & 0.0201091769297293 & 0.0402183538594587 & 0.97989082307027 \tabularnewline
20 & 0.0102340547306573 & 0.0204681094613145 & 0.989765945269343 \tabularnewline
21 & 0.00526091658270468 & 0.0105218331654094 & 0.994739083417295 \tabularnewline
22 & 0.00254279028522337 & 0.00508558057044675 & 0.997457209714777 \tabularnewline
23 & 0.00117855743913188 & 0.00235711487826376 & 0.998821442560868 \tabularnewline
24 & 0.000529431827658454 & 0.00105886365531691 & 0.999470568172341 \tabularnewline
25 & 0.000254263533376035 & 0.00050852706675207 & 0.999745736466624 \tabularnewline
26 & 0.000123074838838487 & 0.000246149677676973 & 0.999876925161161 \tabularnewline
27 & 5.65202080174117e-05 & 0.000113040416034823 & 0.999943479791983 \tabularnewline
28 & 2.28348831231655e-05 & 4.5669766246331e-05 & 0.999977165116877 \tabularnewline
29 & 8.79242847601574e-05 & 0.000175848569520315 & 0.99991207571524 \tabularnewline
30 & 4.01027737543953e-05 & 8.02055475087906e-05 & 0.999959897226246 \tabularnewline
31 & 0.00134614194416478 & 0.00269228388832955 & 0.998653858055835 \tabularnewline
32 & 0.00547996433430724 & 0.0109599286686145 & 0.994520035665693 \tabularnewline
33 & 0.241318204965726 & 0.482636409931453 & 0.758681795034274 \tabularnewline
34 & 0.211145580134514 & 0.422291160269029 & 0.788854419865486 \tabularnewline
35 & 0.187564055694756 & 0.375128111389513 & 0.812435944305244 \tabularnewline
36 & 0.237166054561693 & 0.474332109123386 & 0.762833945438307 \tabularnewline
37 & 0.195103656558955 & 0.39020731311791 & 0.804896343441045 \tabularnewline
38 & 0.161487730478130 & 0.322975460956259 & 0.83851226952187 \tabularnewline
39 & 0.129161576671505 & 0.25832315334301 & 0.870838423328495 \tabularnewline
40 & 0.105840691918652 & 0.211681383837305 & 0.894159308081348 \tabularnewline
41 & 0.0940595973820266 & 0.188119194764053 & 0.905940402617973 \tabularnewline
42 & 0.0737229292526294 & 0.147445858505259 & 0.92627707074737 \tabularnewline
43 & 0.0953306283507297 & 0.190661256701459 & 0.90466937164927 \tabularnewline
44 & 0.0819956542599098 & 0.163991308519820 & 0.91800434574009 \tabularnewline
45 & 0.0640357408575588 & 0.128071481715118 & 0.935964259142441 \tabularnewline
46 & 0.0517893445718279 & 0.103578689143656 & 0.948210655428172 \tabularnewline
47 & 0.0721100212343537 & 0.144220042468707 & 0.927889978765646 \tabularnewline
48 & 0.0659198553790893 & 0.131839710758179 & 0.93408014462091 \tabularnewline
49 & 0.052454885655234 & 0.104909771310468 & 0.947545114344766 \tabularnewline
50 & 0.0407925600904770 & 0.0815851201809541 & 0.959207439909523 \tabularnewline
51 & 0.0322447137393394 & 0.0644894274786789 & 0.96775528626066 \tabularnewline
52 & 0.0260728047102138 & 0.0521456094204276 & 0.973927195289786 \tabularnewline
53 & 0.0298084635037449 & 0.0596169270074898 & 0.970191536496255 \tabularnewline
54 & 0.037354063903892 & 0.074708127807784 & 0.962645936096108 \tabularnewline
55 & 0.0327245865058912 & 0.0654491730117823 & 0.96727541349411 \tabularnewline
56 & 0.0271757840844449 & 0.0543515681688897 & 0.972824215915555 \tabularnewline
57 & 0.0211402620019690 & 0.0422805240039381 & 0.97885973799803 \tabularnewline
58 & 0.0163569373740247 & 0.0327138747480494 & 0.983643062625975 \tabularnewline
59 & 0.0127274553688145 & 0.0254549107376289 & 0.987272544631186 \tabularnewline
60 & 0.00944661568486178 & 0.0188932313697236 & 0.990553384315138 \tabularnewline
61 & 0.00866362857414123 & 0.0173272571482825 & 0.991336371425859 \tabularnewline
62 & 0.00634863782586447 & 0.0126972756517289 & 0.993651362174136 \tabularnewline
63 & 0.00470931005173261 & 0.00941862010346522 & 0.995290689948267 \tabularnewline
64 & 0.00915745298977019 & 0.0183149059795404 & 0.99084254701023 \tabularnewline
65 & 0.00703826984112367 & 0.0140765396822473 & 0.992961730158876 \tabularnewline
66 & 0.00521778340239028 & 0.0104355668047806 & 0.99478221659761 \tabularnewline
67 & 0.00381572438935445 & 0.00763144877870891 & 0.996184275610646 \tabularnewline
68 & 0.00403366713612535 & 0.0080673342722507 & 0.995966332863875 \tabularnewline
69 & 0.00298622319344474 & 0.00597244638688949 & 0.997013776806555 \tabularnewline
70 & 0.00241505161739883 & 0.00483010323479765 & 0.997584948382601 \tabularnewline
71 & 0.00203762721490406 & 0.00407525442980812 & 0.997962372785096 \tabularnewline
72 & 0.00176052614341885 & 0.00352105228683769 & 0.998239473856581 \tabularnewline
73 & 0.0016587850230882 & 0.0033175700461764 & 0.998341214976912 \tabularnewline
74 & 0.00147452348970290 & 0.00294904697940580 & 0.998525476510297 \tabularnewline
75 & 0.00167945567277855 & 0.00335891134555711 & 0.998320544327221 \tabularnewline
76 & 0.00131224953910471 & 0.00262449907820943 & 0.998687750460895 \tabularnewline
77 & 0.00122955761265787 & 0.00245911522531575 & 0.998770442387342 \tabularnewline
78 & 0.00112081072310300 & 0.00224162144620599 & 0.998879189276897 \tabularnewline
79 & 0.000897329193743365 & 0.00179465838748673 & 0.999102670806257 \tabularnewline
80 & 0.000648213878737871 & 0.00129642775747574 & 0.999351786121262 \tabularnewline
81 & 0.000539109650073638 & 0.00107821930014728 & 0.999460890349926 \tabularnewline
82 & 0.000722223858295084 & 0.00144444771659017 & 0.999277776141705 \tabularnewline
83 & 0.000565969139905631 & 0.00113193827981126 & 0.999434030860094 \tabularnewline
84 & 0.000474308411941891 & 0.000948616823883782 & 0.999525691588058 \tabularnewline
85 & 0.000355067176027715 & 0.00071013435205543 & 0.999644932823972 \tabularnewline
86 & 0.000266744958686388 & 0.000533489917372776 & 0.999733255041314 \tabularnewline
87 & 0.000191053136614769 & 0.000382106273229537 & 0.999808946863385 \tabularnewline
88 & 0.000142535843597587 & 0.000285071687195175 & 0.999857464156402 \tabularnewline
89 & 0.000100916039724234 & 0.000201832079448467 & 0.999899083960276 \tabularnewline
90 & 6.9110973360128e-05 & 0.000138221946720256 & 0.99993088902664 \tabularnewline
91 & 9.69522708262066e-05 & 0.000193904541652413 & 0.999903047729174 \tabularnewline
92 & 6.99442575929416e-05 & 0.000139888515185883 & 0.999930055742407 \tabularnewline
93 & 5.37870512930481e-05 & 0.000107574102586096 & 0.999946212948707 \tabularnewline
94 & 4.78208803334762e-05 & 9.56417606669524e-05 & 0.999952179119667 \tabularnewline
95 & 4.07459399036579e-05 & 8.14918798073159e-05 & 0.999959254060096 \tabularnewline
96 & 3.36550715951034e-05 & 6.73101431902068e-05 & 0.999966344928405 \tabularnewline
97 & 2.59577647935411e-05 & 5.19155295870822e-05 & 0.999974042235206 \tabularnewline
98 & 1.79467854018835e-05 & 3.58935708037670e-05 & 0.999982053214598 \tabularnewline
99 & 4.18276697376868e-05 & 8.36553394753735e-05 & 0.999958172330262 \tabularnewline
100 & 3.2938265910107e-05 & 6.5876531820214e-05 & 0.99996706173409 \tabularnewline
101 & 3.78927321931971e-05 & 7.57854643863942e-05 & 0.999962107267807 \tabularnewline
102 & 2.65508176004433e-05 & 5.31016352008867e-05 & 0.9999734491824 \tabularnewline
103 & 2.93364932647647e-05 & 5.86729865295295e-05 & 0.999970663506735 \tabularnewline
104 & 2.03446870028639e-05 & 4.06893740057278e-05 & 0.999979655312997 \tabularnewline
105 & 2.12979606909436e-05 & 4.25959213818873e-05 & 0.99997870203931 \tabularnewline
106 & 5.30771725403926e-05 & 0.000106154345080785 & 0.99994692282746 \tabularnewline
107 & 3.83894620221839e-05 & 7.67789240443677e-05 & 0.999961610537978 \tabularnewline
108 & 3.2286569878504e-05 & 6.4573139757008e-05 & 0.999967713430121 \tabularnewline
109 & 2.37733635665999e-05 & 4.75467271331999e-05 & 0.999976226636433 \tabularnewline
110 & 2.0316857118142e-05 & 4.0633714236284e-05 & 0.999979683142882 \tabularnewline
111 & 0.000202956134486794 & 0.000405912268973588 & 0.999797043865513 \tabularnewline
112 & 0.000170022695588500 & 0.000340045391177001 & 0.999829977304411 \tabularnewline
113 & 0.000125338099918253 & 0.000250676199836507 & 0.999874661900082 \tabularnewline
114 & 0.000612734876275505 & 0.00122546975255101 & 0.999387265123725 \tabularnewline
115 & 0.000486832421906212 & 0.000973664843812424 & 0.999513167578094 \tabularnewline
116 & 0.000513002792649625 & 0.00102600558529925 & 0.99948699720735 \tabularnewline
117 & 0.000444169909691117 & 0.000888339819382234 & 0.999555830090309 \tabularnewline
118 & 0.000351127406437907 & 0.000702254812875815 & 0.999648872593562 \tabularnewline
119 & 0.000658921973408462 & 0.00131784394681692 & 0.999341078026592 \tabularnewline
120 & 0.000531702584148749 & 0.00106340516829750 & 0.999468297415851 \tabularnewline
121 & 0.00072311165629874 & 0.00144622331259748 & 0.999276888343701 \tabularnewline
122 & 0.00184580651463252 & 0.00369161302926504 & 0.998154193485367 \tabularnewline
123 & 0.00238955651350799 & 0.00477911302701598 & 0.997610443486492 \tabularnewline
124 & 0.0020123503813677 & 0.0040247007627354 & 0.997987649618632 \tabularnewline
125 & 0.00370483195356094 & 0.00740966390712188 & 0.99629516804644 \tabularnewline
126 & 0.00540542647884325 & 0.0108108529576865 & 0.994594573521157 \tabularnewline
127 & 0.00434120000090273 & 0.00868240000180545 & 0.995658799999097 \tabularnewline
128 & 0.00349503656211085 & 0.00699007312422171 & 0.99650496343789 \tabularnewline
129 & 0.00891340057073935 & 0.0178268011414787 & 0.99108659942926 \tabularnewline
130 & 0.00738168997036498 & 0.0147633799407300 & 0.992618310029635 \tabularnewline
131 & 0.00619224288336871 & 0.0123844857667374 & 0.993807757116631 \tabularnewline
132 & 0.00513938189755196 & 0.0102787637951039 & 0.994860618102448 \tabularnewline
133 & 0.0041300230797868 & 0.0082600461595736 & 0.995869976920213 \tabularnewline
134 & 0.00375123085759097 & 0.00750246171518194 & 0.996248769142409 \tabularnewline
135 & 0.00312493117851859 & 0.00624986235703718 & 0.996875068821481 \tabularnewline
136 & 0.00364586025160854 & 0.00729172050321708 & 0.996354139748391 \tabularnewline
137 & 0.00308255825561354 & 0.00616511651122709 & 0.996917441744386 \tabularnewline
138 & 0.00255796680658621 & 0.00511593361317241 & 0.997442033193414 \tabularnewline
139 & 0.0020219232319874 & 0.0040438464639748 & 0.997978076768013 \tabularnewline
140 & 0.00373148483969715 & 0.0074629696793943 & 0.996268515160303 \tabularnewline
141 & 0.00295246135576063 & 0.00590492271152126 & 0.99704753864424 \tabularnewline
142 & 0.00243329527168477 & 0.00486659054336953 & 0.997566704728315 \tabularnewline
143 & 0.00216655106886194 & 0.00433310213772388 & 0.997833448931138 \tabularnewline
144 & 0.00242559505291668 & 0.00485119010583336 & 0.997574404947083 \tabularnewline
145 & 0.00191709871620368 & 0.00383419743240736 & 0.998082901283796 \tabularnewline
146 & 0.00278242656781842 & 0.00556485313563684 & 0.997217573432182 \tabularnewline
147 & 0.00410146190836835 & 0.0082029238167367 & 0.995898538091632 \tabularnewline
148 & 0.00331132166808793 & 0.00662264333617586 & 0.996688678331912 \tabularnewline
149 & 0.00262848031479574 & 0.00525696062959149 & 0.997371519685204 \tabularnewline
150 & 0.00225550270726407 & 0.00451100541452815 & 0.997744497292736 \tabularnewline
151 & 0.00296992612269057 & 0.00593985224538115 & 0.99703007387731 \tabularnewline
152 & 0.00266309813223988 & 0.00532619626447976 & 0.99733690186776 \tabularnewline
153 & 0.00250504252621649 & 0.00501008505243298 & 0.997494957473783 \tabularnewline
154 & 0.00199897796049944 & 0.00399795592099888 & 0.9980010220395 \tabularnewline
155 & 0.00157378925213721 & 0.00314757850427443 & 0.998426210747863 \tabularnewline
156 & 0.00192017630899262 & 0.00384035261798525 & 0.998079823691007 \tabularnewline
157 & 0.00151810954194251 & 0.00303621908388503 & 0.998481890458057 \tabularnewline
158 & 0.00137651423653850 & 0.00275302847307699 & 0.998623485763461 \tabularnewline
159 & 0.00107855113741277 & 0.00215710227482555 & 0.998921448862587 \tabularnewline
160 & 0.000888509384759755 & 0.00177701876951951 & 0.99911149061524 \tabularnewline
161 & 0.000684398571385504 & 0.00136879714277101 & 0.999315601428614 \tabularnewline
162 & 0.000547063798136459 & 0.00109412759627292 & 0.999452936201864 \tabularnewline
163 & 0.00067542892979989 & 0.00135085785959978 & 0.9993245710702 \tabularnewline
164 & 0.000745491310650942 & 0.00149098262130188 & 0.99925450868935 \tabularnewline
165 & 0.000604393702092519 & 0.00120878740418504 & 0.999395606297907 \tabularnewline
166 & 0.000472725140257658 & 0.000945450280515316 & 0.999527274859742 \tabularnewline
167 & 0.000951439171255873 & 0.00190287834251175 & 0.999048560828744 \tabularnewline
168 & 0.00086573264289801 & 0.00173146528579602 & 0.999134267357102 \tabularnewline
169 & 0.000761359909264204 & 0.00152271981852841 & 0.999238640090736 \tabularnewline
170 & 0.000832964544767355 & 0.00166592908953471 & 0.999167035455233 \tabularnewline
171 & 0.000851933422701687 & 0.00170386684540337 & 0.999148066577298 \tabularnewline
172 & 0.000677035212301023 & 0.00135407042460205 & 0.9993229647877 \tabularnewline
173 & 0.000646562894398583 & 0.00129312578879717 & 0.999353437105601 \tabularnewline
174 & 0.000750477380361323 & 0.00150095476072265 & 0.999249522619639 \tabularnewline
175 & 0.000648708938146495 & 0.00129741787629299 & 0.999351291061853 \tabularnewline
176 & 0.00049882296744491 & 0.00099764593488982 & 0.999501177032555 \tabularnewline
177 & 0.000569630212085007 & 0.00113926042417001 & 0.999430369787915 \tabularnewline
178 & 0.000449181403773184 & 0.000898362807546367 & 0.999550818596227 \tabularnewline
179 & 0.000457187972792389 & 0.000914375945584778 & 0.999542812027208 \tabularnewline
180 & 0.000515595097731528 & 0.00103119019546306 & 0.999484404902268 \tabularnewline
181 & 0.000790304038894028 & 0.00158060807778806 & 0.999209695961106 \tabularnewline
182 & 0.000999243632979496 & 0.00199848726595899 & 0.99900075636702 \tabularnewline
183 & 0.000794257704132502 & 0.00158851540826500 & 0.999205742295868 \tabularnewline
184 & 0.000668108933059334 & 0.00133621786611867 & 0.99933189106694 \tabularnewline
185 & 0.000756251036092207 & 0.00151250207218441 & 0.999243748963908 \tabularnewline
186 & 0.000585828598342702 & 0.00117165719668540 & 0.999414171401657 \tabularnewline
187 & 0.000466682967442853 & 0.000933365934885706 & 0.999533317032557 \tabularnewline
188 & 0.000404346360584262 & 0.000808692721168524 & 0.999595653639416 \tabularnewline
189 & 0.000332314042263155 & 0.00066462808452631 & 0.999667685957737 \tabularnewline
190 & 0.000338917507036623 & 0.000677835014073247 & 0.999661082492963 \tabularnewline
191 & 0.000298911305836004 & 0.000597822611672009 & 0.999701088694164 \tabularnewline
192 & 0.000268062372053723 & 0.000536124744107446 & 0.999731937627946 \tabularnewline
193 & 0.000459219489207226 & 0.000918438978414453 & 0.999540780510793 \tabularnewline
194 & 0.000961420558304722 & 0.00192284111660944 & 0.999038579441695 \tabularnewline
195 & 0.000753792621835972 & 0.00150758524367194 & 0.999246207378164 \tabularnewline
196 & 0.000631341553543275 & 0.00126268310708655 & 0.999368658446457 \tabularnewline
197 & 0.00059464966207349 & 0.00118929932414698 & 0.999405350337927 \tabularnewline
198 & 0.00168784647696191 & 0.00337569295392382 & 0.998312153523038 \tabularnewline
199 & 0.00180727236022282 & 0.00361454472044565 & 0.998192727639777 \tabularnewline
200 & 0.00143891434163377 & 0.00287782868326754 & 0.998561085658366 \tabularnewline
201 & 0.00124539544688565 & 0.00249079089377131 & 0.998754604553114 \tabularnewline
202 & 0.0010228377566582 & 0.0020456755133164 & 0.998977162243342 \tabularnewline
203 & 0.000848186773082682 & 0.00169637354616536 & 0.999151813226917 \tabularnewline
204 & 0.00320277931774215 & 0.0064055586354843 & 0.996797220682258 \tabularnewline
205 & 0.00258807609065895 & 0.0051761521813179 & 0.99741192390934 \tabularnewline
206 & 0.00272961881256085 & 0.0054592376251217 & 0.99727038118744 \tabularnewline
207 & 0.00433089251597885 & 0.0086617850319577 & 0.995669107484021 \tabularnewline
208 & 0.00363677614994817 & 0.00727355229989633 & 0.996363223850052 \tabularnewline
209 & 0.00308977855121571 & 0.00617955710243143 & 0.996910221448784 \tabularnewline
210 & 0.00249858034484866 & 0.00499716068969731 & 0.997501419655151 \tabularnewline
211 & 0.0020990795928681 & 0.0041981591857362 & 0.997900920407132 \tabularnewline
212 & 0.00215027248539860 & 0.00430054497079721 & 0.997849727514601 \tabularnewline
213 & 0.00181106492033366 & 0.00362212984066732 & 0.998188935079666 \tabularnewline
214 & 0.00148688481670656 & 0.00297376963341312 & 0.998513115183293 \tabularnewline
215 & 0.00125480881416567 & 0.00250961762833135 & 0.998745191185834 \tabularnewline
216 & 0.001014255148206 & 0.002028510296412 & 0.998985744851794 \tabularnewline
217 & 0.00112756970021118 & 0.00225513940042236 & 0.998872430299789 \tabularnewline
218 & 0.000882470044660817 & 0.00176494008932163 & 0.99911752995534 \tabularnewline
219 & 0.000719405625341266 & 0.00143881125068253 & 0.999280594374659 \tabularnewline
220 & 0.000557329513579498 & 0.00111465902715900 & 0.99944267048642 \tabularnewline
221 & 0.000513711213742434 & 0.00102742242748487 & 0.999486288786258 \tabularnewline
222 & 0.000554483166209163 & 0.00110896633241833 & 0.99944551683379 \tabularnewline
223 & 0.00043053089767888 & 0.00086106179535776 & 0.99956946910232 \tabularnewline
224 & 0.000375849257578562 & 0.000751698515157124 & 0.999624150742422 \tabularnewline
225 & 0.000433084154084115 & 0.00086616830816823 & 0.999566915845916 \tabularnewline
226 & 0.000347608731451133 & 0.000695217462902266 & 0.99965239126855 \tabularnewline
227 & 0.00274931903301718 & 0.00549863806603437 & 0.997250680966983 \tabularnewline
228 & 0.00224212772234071 & 0.00448425544468141 & 0.99775787227766 \tabularnewline
229 & 0.00196517541734533 & 0.00393035083469065 & 0.998034824582655 \tabularnewline
230 & 0.00157418800065600 & 0.00314837600131200 & 0.998425811999344 \tabularnewline
231 & 0.00127224795359113 & 0.00254449590718226 & 0.99872775204641 \tabularnewline
232 & 0.0104478876099084 & 0.0208957752198168 & 0.989552112390092 \tabularnewline
233 & 0.00857954915969 & 0.01715909831938 & 0.99142045084031 \tabularnewline
234 & 0.00701441388335533 & 0.0140288277667107 & 0.992985586116645 \tabularnewline
235 & 0.119258091886012 & 0.238516183772025 & 0.880741908113988 \tabularnewline
236 & 0.105874252708348 & 0.211748505416697 & 0.894125747291652 \tabularnewline
237 & 0.123545058781912 & 0.247090117563823 & 0.876454941218088 \tabularnewline
238 & 0.112858855451148 & 0.225717710902295 & 0.887141144548852 \tabularnewline
239 & 0.0992779175793688 & 0.198555835158738 & 0.900722082420631 \tabularnewline
240 & 0.128439223681758 & 0.256878447363515 & 0.871560776318242 \tabularnewline
241 & 0.187048792187013 & 0.374097584374027 & 0.812951207812987 \tabularnewline
242 & 0.236109844923731 & 0.472219689847462 & 0.76389015507627 \tabularnewline
243 & 0.216353459606369 & 0.432706919212738 & 0.783646540393631 \tabularnewline
244 & 0.211161335895776 & 0.422322671791553 & 0.788838664104224 \tabularnewline
245 & 0.199625200509278 & 0.399250401018556 & 0.800374799490722 \tabularnewline
246 & 0.179245993372681 & 0.358491986745362 & 0.82075400662732 \tabularnewline
247 & 0.162319684073488 & 0.324639368146975 & 0.837680315926512 \tabularnewline
248 & 0.144476422664151 & 0.288952845328303 & 0.855523577335849 \tabularnewline
249 & 0.163107968827063 & 0.326215937654125 & 0.836892031172937 \tabularnewline
250 & 0.168558589916108 & 0.337117179832216 & 0.831441410083892 \tabularnewline
251 & 0.151361459827976 & 0.302722919655952 & 0.848638540172024 \tabularnewline
252 & 0.141608114090512 & 0.283216228181024 & 0.858391885909488 \tabularnewline
253 & 0.230840192638933 & 0.461680385277866 & 0.769159807361067 \tabularnewline
254 & 0.211035430759749 & 0.422070861519498 & 0.788964569240251 \tabularnewline
255 & 0.220520619688235 & 0.441041239376471 & 0.779479380311765 \tabularnewline
256 & 0.299512715994863 & 0.599025431989726 & 0.700487284005137 \tabularnewline
257 & 0.278073984751839 & 0.556147969503677 & 0.721926015248161 \tabularnewline
258 & 0.412937373029723 & 0.825874746059446 & 0.587062626970277 \tabularnewline
259 & 0.420955939618788 & 0.841911879237576 & 0.579044060381212 \tabularnewline
260 & 0.416433153003185 & 0.83286630600637 & 0.583566846996815 \tabularnewline
261 & 0.410369175028677 & 0.820738350057354 & 0.589630824971323 \tabularnewline
262 & 0.382954569546706 & 0.765909139093411 & 0.617045430453294 \tabularnewline
263 & 0.354973221311042 & 0.709946442622085 & 0.645026778688958 \tabularnewline
264 & 0.438356823214332 & 0.876713646428663 & 0.561643176785668 \tabularnewline
265 & 0.410774684102531 & 0.821549368205062 & 0.589225315897469 \tabularnewline
266 & 0.393261610672335 & 0.78652322134467 & 0.606738389327665 \tabularnewline
267 & 0.366642811824285 & 0.733285623648569 & 0.633357188175715 \tabularnewline
268 & 0.40574353374202 & 0.81148706748404 & 0.59425646625798 \tabularnewline
269 & 0.394559393353697 & 0.789118786707393 & 0.605440606646303 \tabularnewline
270 & 0.40656490593265 & 0.8131298118653 & 0.59343509406735 \tabularnewline
271 & 0.376898541383819 & 0.753797082767637 & 0.623101458616181 \tabularnewline
272 & 0.398092213258184 & 0.796184426516369 & 0.601907786741816 \tabularnewline
273 & 0.398252862184641 & 0.796505724369282 & 0.601747137815359 \tabularnewline
274 & 0.368803494774082 & 0.737606989548165 & 0.631196505225918 \tabularnewline
275 & 0.402571398851726 & 0.805142797703451 & 0.597428601148274 \tabularnewline
276 & 0.378166091430994 & 0.756332182861988 & 0.621833908569006 \tabularnewline
277 & 0.350221251102997 & 0.700442502205994 & 0.649778748897003 \tabularnewline
278 & 0.322003802707975 & 0.64400760541595 & 0.677996197292025 \tabularnewline
279 & 0.356534541896911 & 0.713069083793823 & 0.643465458103089 \tabularnewline
280 & 0.3287400254831 & 0.6574800509662 & 0.6712599745169 \tabularnewline
281 & 0.308612243932128 & 0.617224487864256 & 0.691387756067872 \tabularnewline
282 & 0.359467972518912 & 0.718935945037824 & 0.640532027481088 \tabularnewline
283 & 0.332274532888429 & 0.664549065776858 & 0.667725467111571 \tabularnewline
284 & 0.316931452439022 & 0.633862904878044 & 0.683068547560978 \tabularnewline
285 & 0.290457426968461 & 0.580914853936922 & 0.709542573031539 \tabularnewline
286 & 0.283678490481793 & 0.567356980963587 & 0.716321509518207 \tabularnewline
287 & 0.264035439811093 & 0.528070879622187 & 0.735964560188907 \tabularnewline
288 & 0.238340171327653 & 0.476680342655307 & 0.761659828672347 \tabularnewline
289 & 0.215681920842918 & 0.431363841685835 & 0.784318079157083 \tabularnewline
290 & 0.201786688640363 & 0.403573377280726 & 0.798213311359637 \tabularnewline
291 & 0.188114509288337 & 0.376229018576674 & 0.811885490711663 \tabularnewline
292 & 0.17956928039621 & 0.35913856079242 & 0.82043071960379 \tabularnewline
293 & 0.187299649111822 & 0.374599298223644 & 0.812700350888178 \tabularnewline
294 & 0.225586519570265 & 0.45117303914053 & 0.774413480429735 \tabularnewline
295 & 0.232075340009576 & 0.464150680019151 & 0.767924659990424 \tabularnewline
296 & 0.288705500892834 & 0.577411001785668 & 0.711294499107166 \tabularnewline
297 & 0.359242561037203 & 0.718485122074405 & 0.640757438962797 \tabularnewline
298 & 0.339744778997645 & 0.67948955799529 & 0.660255221002355 \tabularnewline
299 & 0.310931304606609 & 0.621862609213218 & 0.689068695393391 \tabularnewline
300 & 0.295577877492493 & 0.591155754984986 & 0.704422122507507 \tabularnewline
301 & 0.300981449065485 & 0.60196289813097 & 0.699018550934515 \tabularnewline
302 & 0.276258633576978 & 0.552517267153955 & 0.723741366423022 \tabularnewline
303 & 0.259995030641584 & 0.519990061283169 & 0.740004969358416 \tabularnewline
304 & 0.238783837373788 & 0.477567674747577 & 0.761216162626212 \tabularnewline
305 & 0.217612589827231 & 0.435225179654463 & 0.782387410172769 \tabularnewline
306 & 0.193766266193065 & 0.38753253238613 & 0.806233733806935 \tabularnewline
307 & 0.174353226193515 & 0.348706452387029 & 0.825646773806485 \tabularnewline
308 & 0.159380577647033 & 0.318761155294065 & 0.840619422352967 \tabularnewline
309 & 0.140954282280440 & 0.281908564560881 & 0.85904571771956 \tabularnewline
310 & 0.148941912884133 & 0.297883825768265 & 0.851058087115868 \tabularnewline
311 & 0.136619122632654 & 0.273238245265307 & 0.863380877367346 \tabularnewline
312 & 0.119811354671374 & 0.239622709342748 & 0.880188645328626 \tabularnewline
313 & 0.108024129543015 & 0.216048259086029 & 0.891975870456985 \tabularnewline
314 & 0.0968370821110698 & 0.193674164222140 & 0.90316291788893 \tabularnewline
315 & 0.0884460343196577 & 0.176892068639315 & 0.911553965680342 \tabularnewline
316 & 0.075526768760363 & 0.151053537520726 & 0.924473231239637 \tabularnewline
317 & 0.0963333333592907 & 0.192666666718581 & 0.90366666664071 \tabularnewline
318 & 0.082431359218114 & 0.164862718436228 & 0.917568640781886 \tabularnewline
319 & 0.0742350169349222 & 0.148470033869844 & 0.925764983065078 \tabularnewline
320 & 0.0699085548906631 & 0.139817109781326 & 0.930091445109337 \tabularnewline
321 & 0.080492958377064 & 0.160985916754128 & 0.919507041622936 \tabularnewline
322 & 0.116432916824480 & 0.232865833648960 & 0.88356708317552 \tabularnewline
323 & 0.139254278960994 & 0.278508557921989 & 0.860745721039006 \tabularnewline
324 & 0.323659148709989 & 0.647318297419977 & 0.676340851290011 \tabularnewline
325 & 0.30867739920357 & 0.61735479840714 & 0.69132260079643 \tabularnewline
326 & 0.274310819556962 & 0.548621639113924 & 0.725689180443038 \tabularnewline
327 & 0.241659478425109 & 0.483318956850217 & 0.758340521574891 \tabularnewline
328 & 0.218390961649703 & 0.436781923299405 & 0.781609038350297 \tabularnewline
329 & 0.202189439268591 & 0.404378878537182 & 0.79781056073141 \tabularnewline
330 & 0.203539094592252 & 0.407078189184505 & 0.796460905407748 \tabularnewline
331 & 0.253946238043865 & 0.50789247608773 & 0.746053761956135 \tabularnewline
332 & 0.245592665236154 & 0.491185330472308 & 0.754407334763846 \tabularnewline
333 & 0.228655738050941 & 0.457311476101882 & 0.771344261949059 \tabularnewline
334 & 0.205171881048607 & 0.410343762097214 & 0.794828118951393 \tabularnewline
335 & 0.230016297761724 & 0.460032595523447 & 0.769983702238276 \tabularnewline
336 & 0.208608997496212 & 0.417217994992424 & 0.791391002503788 \tabularnewline
337 & 0.187121339428845 & 0.37424267885769 & 0.812878660571155 \tabularnewline
338 & 0.313884573779049 & 0.627769147558097 & 0.686115426220951 \tabularnewline
339 & 0.281032384831103 & 0.562064769662205 & 0.718967615168898 \tabularnewline
340 & 0.456064980941876 & 0.912129961883751 & 0.543935019058124 \tabularnewline
341 & 0.42894672183504 & 0.85789344367008 & 0.57105327816496 \tabularnewline
342 & 0.385539232927942 & 0.771078465855885 & 0.614460767072058 \tabularnewline
343 & 0.345664806968953 & 0.691329613937907 & 0.654335193031047 \tabularnewline
344 & 0.337423556728018 & 0.674847113456036 & 0.662576443271982 \tabularnewline
345 & 0.351904501894486 & 0.703809003788972 & 0.648095498105514 \tabularnewline
346 & 0.339927240309454 & 0.679854480618908 & 0.660072759690546 \tabularnewline
347 & 0.305179081315747 & 0.610358162631493 & 0.694820918684253 \tabularnewline
348 & 0.270263762070035 & 0.540527524140071 & 0.729736237929965 \tabularnewline
349 & 0.423438108518423 & 0.846876217036846 & 0.576561891481577 \tabularnewline
350 & 0.396437273056671 & 0.792874546113342 & 0.603562726943329 \tabularnewline
351 & 0.352603165809497 & 0.705206331618995 & 0.647396834190503 \tabularnewline
352 & 0.357555438991203 & 0.715110877982407 & 0.642444561008797 \tabularnewline
353 & 0.317369627948768 & 0.634739255897537 & 0.682630372051232 \tabularnewline
354 & 0.272028879339509 & 0.544057758679018 & 0.727971120660491 \tabularnewline
355 & 0.230865004362475 & 0.46173000872495 & 0.769134995637525 \tabularnewline
356 & 0.217133987253902 & 0.434267974507804 & 0.782866012746098 \tabularnewline
357 & 0.241150639359730 & 0.482301278719461 & 0.75884936064027 \tabularnewline
358 & 0.206629032706721 & 0.413258065413442 & 0.793370967293279 \tabularnewline
359 & 0.20257576416839 & 0.40515152833678 & 0.79742423583161 \tabularnewline
360 & 0.253477326464665 & 0.506954652929329 & 0.746522673535335 \tabularnewline
361 & 0.221654859340653 & 0.443309718681305 & 0.778345140659347 \tabularnewline
362 & 0.241429433422859 & 0.482858866845718 & 0.758570566577141 \tabularnewline
363 & 0.196167024460087 & 0.392334048920174 & 0.803832975539913 \tabularnewline
364 & 0.192519924268099 & 0.385039848536197 & 0.807480075731901 \tabularnewline
365 & 0.409675866444954 & 0.819351732889908 & 0.590324133555046 \tabularnewline
366 & 0.363753923486601 & 0.727507846973201 & 0.636246076513399 \tabularnewline
367 & 0.316246332902289 & 0.632492665804578 & 0.683753667097711 \tabularnewline
368 & 0.332786985373042 & 0.665573970746083 & 0.667213014626958 \tabularnewline
369 & 0.346139046114959 & 0.692278092229918 & 0.653860953885041 \tabularnewline
370 & 0.277466395981654 & 0.554932791963308 & 0.722533604018346 \tabularnewline
371 & 0.24606343065014 & 0.49212686130028 & 0.75393656934986 \tabularnewline
372 & 0.316326621399135 & 0.632653242798269 & 0.683673378600866 \tabularnewline
373 & 0.247189313885861 & 0.494378627771722 & 0.752810686114139 \tabularnewline
374 & 0.234049310920844 & 0.468098621841688 & 0.765950689079156 \tabularnewline
375 & 0.169430442636410 & 0.338860885272821 & 0.83056955736359 \tabularnewline
376 & 0.336224772714279 & 0.672449545428559 & 0.663775227285721 \tabularnewline
377 & 0.268589595106043 & 0.537179190212087 & 0.731410404893956 \tabularnewline
378 & 0.237610766678842 & 0.475221533357684 & 0.762389233321158 \tabularnewline
379 & 0.191519739792931 & 0.383039479585862 & 0.80848026020707 \tabularnewline
380 & 0.106968571841866 & 0.213937143683733 & 0.893031428158134 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117207&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]12[/C][C]0.239204321578649[/C][C]0.478408643157297[/C][C]0.760795678421351[/C][/ROW]
[ROW][C]13[/C][C]0.127450171550827[/C][C]0.254900343101653[/C][C]0.872549828449173[/C][/ROW]
[ROW][C]14[/C][C]0.0598635064608886[/C][C]0.119727012921777[/C][C]0.940136493539111[/C][/ROW]
[ROW][C]15[/C][C]0.0813597982759425[/C][C]0.162719596551885[/C][C]0.918640201724057[/C][/ROW]
[ROW][C]16[/C][C]0.0458947927084698[/C][C]0.0917895854169396[/C][C]0.95410520729153[/C][/ROW]
[ROW][C]17[/C][C]0.0298352903570718[/C][C]0.0596705807141436[/C][C]0.970164709642928[/C][/ROW]
[ROW][C]18[/C][C]0.038107321098309[/C][C]0.076214642196618[/C][C]0.961892678901691[/C][/ROW]
[ROW][C]19[/C][C]0.0201091769297293[/C][C]0.0402183538594587[/C][C]0.97989082307027[/C][/ROW]
[ROW][C]20[/C][C]0.0102340547306573[/C][C]0.0204681094613145[/C][C]0.989765945269343[/C][/ROW]
[ROW][C]21[/C][C]0.00526091658270468[/C][C]0.0105218331654094[/C][C]0.994739083417295[/C][/ROW]
[ROW][C]22[/C][C]0.00254279028522337[/C][C]0.00508558057044675[/C][C]0.997457209714777[/C][/ROW]
[ROW][C]23[/C][C]0.00117855743913188[/C][C]0.00235711487826376[/C][C]0.998821442560868[/C][/ROW]
[ROW][C]24[/C][C]0.000529431827658454[/C][C]0.00105886365531691[/C][C]0.999470568172341[/C][/ROW]
[ROW][C]25[/C][C]0.000254263533376035[/C][C]0.00050852706675207[/C][C]0.999745736466624[/C][/ROW]
[ROW][C]26[/C][C]0.000123074838838487[/C][C]0.000246149677676973[/C][C]0.999876925161161[/C][/ROW]
[ROW][C]27[/C][C]5.65202080174117e-05[/C][C]0.000113040416034823[/C][C]0.999943479791983[/C][/ROW]
[ROW][C]28[/C][C]2.28348831231655e-05[/C][C]4.5669766246331e-05[/C][C]0.999977165116877[/C][/ROW]
[ROW][C]29[/C][C]8.79242847601574e-05[/C][C]0.000175848569520315[/C][C]0.99991207571524[/C][/ROW]
[ROW][C]30[/C][C]4.01027737543953e-05[/C][C]8.02055475087906e-05[/C][C]0.999959897226246[/C][/ROW]
[ROW][C]31[/C][C]0.00134614194416478[/C][C]0.00269228388832955[/C][C]0.998653858055835[/C][/ROW]
[ROW][C]32[/C][C]0.00547996433430724[/C][C]0.0109599286686145[/C][C]0.994520035665693[/C][/ROW]
[ROW][C]33[/C][C]0.241318204965726[/C][C]0.482636409931453[/C][C]0.758681795034274[/C][/ROW]
[ROW][C]34[/C][C]0.211145580134514[/C][C]0.422291160269029[/C][C]0.788854419865486[/C][/ROW]
[ROW][C]35[/C][C]0.187564055694756[/C][C]0.375128111389513[/C][C]0.812435944305244[/C][/ROW]
[ROW][C]36[/C][C]0.237166054561693[/C][C]0.474332109123386[/C][C]0.762833945438307[/C][/ROW]
[ROW][C]37[/C][C]0.195103656558955[/C][C]0.39020731311791[/C][C]0.804896343441045[/C][/ROW]
[ROW][C]38[/C][C]0.161487730478130[/C][C]0.322975460956259[/C][C]0.83851226952187[/C][/ROW]
[ROW][C]39[/C][C]0.129161576671505[/C][C]0.25832315334301[/C][C]0.870838423328495[/C][/ROW]
[ROW][C]40[/C][C]0.105840691918652[/C][C]0.211681383837305[/C][C]0.894159308081348[/C][/ROW]
[ROW][C]41[/C][C]0.0940595973820266[/C][C]0.188119194764053[/C][C]0.905940402617973[/C][/ROW]
[ROW][C]42[/C][C]0.0737229292526294[/C][C]0.147445858505259[/C][C]0.92627707074737[/C][/ROW]
[ROW][C]43[/C][C]0.0953306283507297[/C][C]0.190661256701459[/C][C]0.90466937164927[/C][/ROW]
[ROW][C]44[/C][C]0.0819956542599098[/C][C]0.163991308519820[/C][C]0.91800434574009[/C][/ROW]
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[ROW][C]336[/C][C]0.208608997496212[/C][C]0.417217994992424[/C][C]0.791391002503788[/C][/ROW]
[ROW][C]337[/C][C]0.187121339428845[/C][C]0.37424267885769[/C][C]0.812878660571155[/C][/ROW]
[ROW][C]338[/C][C]0.313884573779049[/C][C]0.627769147558097[/C][C]0.686115426220951[/C][/ROW]
[ROW][C]339[/C][C]0.281032384831103[/C][C]0.562064769662205[/C][C]0.718967615168898[/C][/ROW]
[ROW][C]340[/C][C]0.456064980941876[/C][C]0.912129961883751[/C][C]0.543935019058124[/C][/ROW]
[ROW][C]341[/C][C]0.42894672183504[/C][C]0.85789344367008[/C][C]0.57105327816496[/C][/ROW]
[ROW][C]342[/C][C]0.385539232927942[/C][C]0.771078465855885[/C][C]0.614460767072058[/C][/ROW]
[ROW][C]343[/C][C]0.345664806968953[/C][C]0.691329613937907[/C][C]0.654335193031047[/C][/ROW]
[ROW][C]344[/C][C]0.337423556728018[/C][C]0.674847113456036[/C][C]0.662576443271982[/C][/ROW]
[ROW][C]345[/C][C]0.351904501894486[/C][C]0.703809003788972[/C][C]0.648095498105514[/C][/ROW]
[ROW][C]346[/C][C]0.339927240309454[/C][C]0.679854480618908[/C][C]0.660072759690546[/C][/ROW]
[ROW][C]347[/C][C]0.305179081315747[/C][C]0.610358162631493[/C][C]0.694820918684253[/C][/ROW]
[ROW][C]348[/C][C]0.270263762070035[/C][C]0.540527524140071[/C][C]0.729736237929965[/C][/ROW]
[ROW][C]349[/C][C]0.423438108518423[/C][C]0.846876217036846[/C][C]0.576561891481577[/C][/ROW]
[ROW][C]350[/C][C]0.396437273056671[/C][C]0.792874546113342[/C][C]0.603562726943329[/C][/ROW]
[ROW][C]351[/C][C]0.352603165809497[/C][C]0.705206331618995[/C][C]0.647396834190503[/C][/ROW]
[ROW][C]352[/C][C]0.357555438991203[/C][C]0.715110877982407[/C][C]0.642444561008797[/C][/ROW]
[ROW][C]353[/C][C]0.317369627948768[/C][C]0.634739255897537[/C][C]0.682630372051232[/C][/ROW]
[ROW][C]354[/C][C]0.272028879339509[/C][C]0.544057758679018[/C][C]0.727971120660491[/C][/ROW]
[ROW][C]355[/C][C]0.230865004362475[/C][C]0.46173000872495[/C][C]0.769134995637525[/C][/ROW]
[ROW][C]356[/C][C]0.217133987253902[/C][C]0.434267974507804[/C][C]0.782866012746098[/C][/ROW]
[ROW][C]357[/C][C]0.241150639359730[/C][C]0.482301278719461[/C][C]0.75884936064027[/C][/ROW]
[ROW][C]358[/C][C]0.206629032706721[/C][C]0.413258065413442[/C][C]0.793370967293279[/C][/ROW]
[ROW][C]359[/C][C]0.20257576416839[/C][C]0.40515152833678[/C][C]0.79742423583161[/C][/ROW]
[ROW][C]360[/C][C]0.253477326464665[/C][C]0.506954652929329[/C][C]0.746522673535335[/C][/ROW]
[ROW][C]361[/C][C]0.221654859340653[/C][C]0.443309718681305[/C][C]0.778345140659347[/C][/ROW]
[ROW][C]362[/C][C]0.241429433422859[/C][C]0.482858866845718[/C][C]0.758570566577141[/C][/ROW]
[ROW][C]363[/C][C]0.196167024460087[/C][C]0.392334048920174[/C][C]0.803832975539913[/C][/ROW]
[ROW][C]364[/C][C]0.192519924268099[/C][C]0.385039848536197[/C][C]0.807480075731901[/C][/ROW]
[ROW][C]365[/C][C]0.409675866444954[/C][C]0.819351732889908[/C][C]0.590324133555046[/C][/ROW]
[ROW][C]366[/C][C]0.363753923486601[/C][C]0.727507846973201[/C][C]0.636246076513399[/C][/ROW]
[ROW][C]367[/C][C]0.316246332902289[/C][C]0.632492665804578[/C][C]0.683753667097711[/C][/ROW]
[ROW][C]368[/C][C]0.332786985373042[/C][C]0.665573970746083[/C][C]0.667213014626958[/C][/ROW]
[ROW][C]369[/C][C]0.346139046114959[/C][C]0.692278092229918[/C][C]0.653860953885041[/C][/ROW]
[ROW][C]370[/C][C]0.277466395981654[/C][C]0.554932791963308[/C][C]0.722533604018346[/C][/ROW]
[ROW][C]371[/C][C]0.24606343065014[/C][C]0.49212686130028[/C][C]0.75393656934986[/C][/ROW]
[ROW][C]372[/C][C]0.316326621399135[/C][C]0.632653242798269[/C][C]0.683673378600866[/C][/ROW]
[ROW][C]373[/C][C]0.247189313885861[/C][C]0.494378627771722[/C][C]0.752810686114139[/C][/ROW]
[ROW][C]374[/C][C]0.234049310920844[/C][C]0.468098621841688[/C][C]0.765950689079156[/C][/ROW]
[ROW][C]375[/C][C]0.169430442636410[/C][C]0.338860885272821[/C][C]0.83056955736359[/C][/ROW]
[ROW][C]376[/C][C]0.336224772714279[/C][C]0.672449545428559[/C][C]0.663775227285721[/C][/ROW]
[ROW][C]377[/C][C]0.268589595106043[/C][C]0.537179190212087[/C][C]0.731410404893956[/C][/ROW]
[ROW][C]378[/C][C]0.237610766678842[/C][C]0.475221533357684[/C][C]0.762389233321158[/C][/ROW]
[ROW][C]379[/C][C]0.191519739792931[/C][C]0.383039479585862[/C][C]0.80848026020707[/C][/ROW]
[ROW][C]380[/C][C]0.106968571841866[/C][C]0.213937143683733[/C][C]0.893031428158134[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117207&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117207&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
12	0.239204321578649	0.478408643157297	0.760795678421351
13	0.127450171550827	0.254900343101653	0.872549828449173
14	0.0598635064608886	0.119727012921777	0.940136493539111
15	0.0813597982759425	0.162719596551885	0.918640201724057
16	0.0458947927084698	0.0917895854169396	0.95410520729153
17	0.0298352903570718	0.0596705807141436	0.970164709642928
18	0.038107321098309	0.076214642196618	0.961892678901691
19	0.0201091769297293	0.0402183538594587	0.97989082307027
20	0.0102340547306573	0.0204681094613145	0.989765945269343
21	0.00526091658270468	0.0105218331654094	0.994739083417295
22	0.00254279028522337	0.00508558057044675	0.997457209714777
23	0.00117855743913188	0.00235711487826376	0.998821442560868
24	0.000529431827658454	0.00105886365531691	0.999470568172341
25	0.000254263533376035	0.00050852706675207	0.999745736466624
26	0.000123074838838487	0.000246149677676973	0.999876925161161
27	5.65202080174117e-05	0.000113040416034823	0.999943479791983
28	2.28348831231655e-05	4.5669766246331e-05	0.999977165116877
29	8.79242847601574e-05	0.000175848569520315	0.99991207571524
30	4.01027737543953e-05	8.02055475087906e-05	0.999959897226246
31	0.00134614194416478	0.00269228388832955	0.998653858055835
32	0.00547996433430724	0.0109599286686145	0.994520035665693
33	0.241318204965726	0.482636409931453	0.758681795034274
34	0.211145580134514	0.422291160269029	0.788854419865486
35	0.187564055694756	0.375128111389513	0.812435944305244
36	0.237166054561693	0.474332109123386	0.762833945438307
37	0.195103656558955	0.39020731311791	0.804896343441045
38	0.161487730478130	0.322975460956259	0.83851226952187
39	0.129161576671505	0.25832315334301	0.870838423328495
40	0.105840691918652	0.211681383837305	0.894159308081348
41	0.0940595973820266	0.188119194764053	0.905940402617973
42	0.0737229292526294	0.147445858505259	0.92627707074737
43	0.0953306283507297	0.190661256701459	0.90466937164927
44	0.0819956542599098	0.163991308519820	0.91800434574009
45	0.0640357408575588	0.128071481715118	0.935964259142441
46	0.0517893445718279	0.103578689143656	0.948210655428172
47	0.0721100212343537	0.144220042468707	0.927889978765646
48	0.0659198553790893	0.131839710758179	0.93408014462091
49	0.052454885655234	0.104909771310468	0.947545114344766
50	0.0407925600904770	0.0815851201809541	0.959207439909523
51	0.0322447137393394	0.0644894274786789	0.96775528626066
52	0.0260728047102138	0.0521456094204276	0.973927195289786
53	0.0298084635037449	0.0596169270074898	0.970191536496255
54	0.037354063903892	0.074708127807784	0.962645936096108
55	0.0327245865058912	0.0654491730117823	0.96727541349411
56	0.0271757840844449	0.0543515681688897	0.972824215915555
57	0.0211402620019690	0.0422805240039381	0.97885973799803
58	0.0163569373740247	0.0327138747480494	0.983643062625975
59	0.0127274553688145	0.0254549107376289	0.987272544631186
60	0.00944661568486178	0.0188932313697236	0.990553384315138
61	0.00866362857414123	0.0173272571482825	0.991336371425859
62	0.00634863782586447	0.0126972756517289	0.993651362174136
63	0.00470931005173261	0.00941862010346522	0.995290689948267
64	0.00915745298977019	0.0183149059795404	0.99084254701023
65	0.00703826984112367	0.0140765396822473	0.992961730158876
66	0.00521778340239028	0.0104355668047806	0.99478221659761
67	0.00381572438935445	0.00763144877870891	0.996184275610646
68	0.00403366713612535	0.0080673342722507	0.995966332863875
69	0.00298622319344474	0.00597244638688949	0.997013776806555
70	0.00241505161739883	0.00483010323479765	0.997584948382601
71	0.00203762721490406	0.00407525442980812	0.997962372785096
72	0.00176052614341885	0.00352105228683769	0.998239473856581
73	0.0016587850230882	0.0033175700461764	0.998341214976912
74	0.00147452348970290	0.00294904697940580	0.998525476510297
75	0.00167945567277855	0.00335891134555711	0.998320544327221
76	0.00131224953910471	0.00262449907820943	0.998687750460895
77	0.00122955761265787	0.00245911522531575	0.998770442387342
78	0.00112081072310300	0.00224162144620599	0.998879189276897
79	0.000897329193743365	0.00179465838748673	0.999102670806257
80	0.000648213878737871	0.00129642775747574	0.999351786121262
81	0.000539109650073638	0.00107821930014728	0.999460890349926
82	0.000722223858295084	0.00144444771659017	0.999277776141705
83	0.000565969139905631	0.00113193827981126	0.999434030860094
84	0.000474308411941891	0.000948616823883782	0.999525691588058
85	0.000355067176027715	0.00071013435205543	0.999644932823972
86	0.000266744958686388	0.000533489917372776	0.999733255041314
87	0.000191053136614769	0.000382106273229537	0.999808946863385
88	0.000142535843597587	0.000285071687195175	0.999857464156402
89	0.000100916039724234	0.000201832079448467	0.999899083960276
90	6.9110973360128e-05	0.000138221946720256	0.99993088902664
91	9.69522708262066e-05	0.000193904541652413	0.999903047729174
92	6.99442575929416e-05	0.000139888515185883	0.999930055742407
93	5.37870512930481e-05	0.000107574102586096	0.999946212948707
94	4.78208803334762e-05	9.56417606669524e-05	0.999952179119667
95	4.07459399036579e-05	8.14918798073159e-05	0.999959254060096
96	3.36550715951034e-05	6.73101431902068e-05	0.999966344928405
97	2.59577647935411e-05	5.19155295870822e-05	0.999974042235206
98	1.79467854018835e-05	3.58935708037670e-05	0.999982053214598
99	4.18276697376868e-05	8.36553394753735e-05	0.999958172330262
100	3.2938265910107e-05	6.5876531820214e-05	0.99996706173409
101	3.78927321931971e-05	7.57854643863942e-05	0.999962107267807
102	2.65508176004433e-05	5.31016352008867e-05	0.9999734491824
103	2.93364932647647e-05	5.86729865295295e-05	0.999970663506735
104	2.03446870028639e-05	4.06893740057278e-05	0.999979655312997
105	2.12979606909436e-05	4.25959213818873e-05	0.99997870203931
106	5.30771725403926e-05	0.000106154345080785	0.99994692282746
107	3.83894620221839e-05	7.67789240443677e-05	0.999961610537978
108	3.2286569878504e-05	6.4573139757008e-05	0.999967713430121
109	2.37733635665999e-05	4.75467271331999e-05	0.999976226636433
110	2.0316857118142e-05	4.0633714236284e-05	0.999979683142882
111	0.000202956134486794	0.000405912268973588	0.999797043865513
112	0.000170022695588500	0.000340045391177001	0.999829977304411
113	0.000125338099918253	0.000250676199836507	0.999874661900082
114	0.000612734876275505	0.00122546975255101	0.999387265123725
115	0.000486832421906212	0.000973664843812424	0.999513167578094
116	0.000513002792649625	0.00102600558529925	0.99948699720735
117	0.000444169909691117	0.000888339819382234	0.999555830090309
118	0.000351127406437907	0.000702254812875815	0.999648872593562
119	0.000658921973408462	0.00131784394681692	0.999341078026592
120	0.000531702584148749	0.00106340516829750	0.999468297415851
121	0.00072311165629874	0.00144622331259748	0.999276888343701
122	0.00184580651463252	0.00369161302926504	0.998154193485367
123	0.00238955651350799	0.00477911302701598	0.997610443486492
124	0.0020123503813677	0.0040247007627354	0.997987649618632
125	0.00370483195356094	0.00740966390712188	0.99629516804644
126	0.00540542647884325	0.0108108529576865	0.994594573521157
127	0.00434120000090273	0.00868240000180545	0.995658799999097
128	0.00349503656211085	0.00699007312422171	0.99650496343789
129	0.00891340057073935	0.0178268011414787	0.99108659942926
130	0.00738168997036498	0.0147633799407300	0.992618310029635
131	0.00619224288336871	0.0123844857667374	0.993807757116631
132	0.00513938189755196	0.0102787637951039	0.994860618102448
133	0.0041300230797868	0.0082600461595736	0.995869976920213
134	0.00375123085759097	0.00750246171518194	0.996248769142409
135	0.00312493117851859	0.00624986235703718	0.996875068821481
136	0.00364586025160854	0.00729172050321708	0.996354139748391
137	0.00308255825561354	0.00616511651122709	0.996917441744386
138	0.00255796680658621	0.00511593361317241	0.997442033193414
139	0.0020219232319874	0.0040438464639748	0.997978076768013
140	0.00373148483969715	0.0074629696793943	0.996268515160303
141	0.00295246135576063	0.00590492271152126	0.99704753864424
142	0.00243329527168477	0.00486659054336953	0.997566704728315
143	0.00216655106886194	0.00433310213772388	0.997833448931138
144	0.00242559505291668	0.00485119010583336	0.997574404947083
145	0.00191709871620368	0.00383419743240736	0.998082901283796
146	0.00278242656781842	0.00556485313563684	0.997217573432182
147	0.00410146190836835	0.0082029238167367	0.995898538091632
148	0.00331132166808793	0.00662264333617586	0.996688678331912
149	0.00262848031479574	0.00525696062959149	0.997371519685204
150	0.00225550270726407	0.00451100541452815	0.997744497292736
151	0.00296992612269057	0.00593985224538115	0.99703007387731
152	0.00266309813223988	0.00532619626447976	0.99733690186776
153	0.00250504252621649	0.00501008505243298	0.997494957473783
154	0.00199897796049944	0.00399795592099888	0.9980010220395
155	0.00157378925213721	0.00314757850427443	0.998426210747863
156	0.00192017630899262	0.00384035261798525	0.998079823691007
157	0.00151810954194251	0.00303621908388503	0.998481890458057
158	0.00137651423653850	0.00275302847307699	0.998623485763461
159	0.00107855113741277	0.00215710227482555	0.998921448862587
160	0.000888509384759755	0.00177701876951951	0.99911149061524
161	0.000684398571385504	0.00136879714277101	0.999315601428614
162	0.000547063798136459	0.00109412759627292	0.999452936201864
163	0.00067542892979989	0.00135085785959978	0.9993245710702
164	0.000745491310650942	0.00149098262130188	0.99925450868935
165	0.000604393702092519	0.00120878740418504	0.999395606297907
166	0.000472725140257658	0.000945450280515316	0.999527274859742
167	0.000951439171255873	0.00190287834251175	0.999048560828744
168	0.00086573264289801	0.00173146528579602	0.999134267357102
169	0.000761359909264204	0.00152271981852841	0.999238640090736
170	0.000832964544767355	0.00166592908953471	0.999167035455233
171	0.000851933422701687	0.00170386684540337	0.999148066577298
172	0.000677035212301023	0.00135407042460205	0.9993229647877
173	0.000646562894398583	0.00129312578879717	0.999353437105601
174	0.000750477380361323	0.00150095476072265	0.999249522619639
175	0.000648708938146495	0.00129741787629299	0.999351291061853
176	0.00049882296744491	0.00099764593488982	0.999501177032555
177	0.000569630212085007	0.00113926042417001	0.999430369787915
178	0.000449181403773184	0.000898362807546367	0.999550818596227
179	0.000457187972792389	0.000914375945584778	0.999542812027208
180	0.000515595097731528	0.00103119019546306	0.999484404902268
181	0.000790304038894028	0.00158060807778806	0.999209695961106
182	0.000999243632979496	0.00199848726595899	0.99900075636702
183	0.000794257704132502	0.00158851540826500	0.999205742295868
184	0.000668108933059334	0.00133621786611867	0.99933189106694
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380	0.106968571841866	0.213937143683733	0.893031428158134

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	171	0.463414634146341	NOK
5% type I error level	192	0.520325203252033	NOK
10% type I error level	202	0.547425474254743	NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 171 & 0.463414634146341 & NOK \tabularnewline
5% type I error level & 192 & 0.520325203252033 & NOK \tabularnewline
10% type I error level & 202 & 0.547425474254743 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117207&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]171[/C][C]0.463414634146341[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]192[/C][C]0.520325203252033[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]202[/C][C]0.547425474254743[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117207&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117207&T=6

As an alternative you can also use a QR Code:

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	171	0.463414634146341	NOK
5% type I error level	192	0.520325203252033	NOK
10% type I error level	202	0.547425474254743	NOK

Figure 1

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Figure 6

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Figure 7

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Figure 8

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Figure 9

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Figure 10

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Parameters (Session):

par1 = 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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code