Free Statistics

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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 15 Nov 2012 13:52:27 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/15/t1353005628gxad3lmyj5imr1w.htm/, Retrieved Thu, 02 May 2024 01:59:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=189751, Retrieved Thu, 02 May 2024 01:59:38 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact74
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2010-11-17 09:55:05] [b98453cac15ba1066b407e146608df68]
- R PD    [Multiple Regression] [WS7 2de multiple ...] [2012-11-15 18:52:27] [b5e957cef4f8312b4131adee035e148e] [Current]
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Dataseries X:
1	1418	1418	210907	56	56	3	3	79	79	30	30	115	115
1	869	869	120982	56	56	4	4	58	58	28	28	109	109
1	1530	1530	176508	54	54	12	12	60	60	38	38	146	146
1	2172	2172	179321	89	89	2	2	108	108	30	30	116	116
1	901	901	123185	40	40	1	1	49	49	22	22	68	68
1	463	463	52746	25	25	3	3	0	0	26	26	101	101
1	3201	3201	385534	92	92	0	0	121	121	25	25	96	96
1	371	371	33170	18	18	0	0	1	1	18	18	67	67
0	1192	0	101645	63	0	0	0	20	0	11	0	44	0
1	1583	1583	149061	44	44	5	5	43	43	26	26	100	100
1	1439	1439	165446	33	33	0	0	69	69	25	25	93	93
1	1764	1764	237213	84	84	0	0	78	78	38	38	140	140
1	1495	1495	173326	88	88	7	7	86	86	44	44	166	166
1	1373	1373	133131	55	55	7	7	44	44	30	30	99	99
1	2187	2187	258873	60	60	3	3	104	104	40	40	139	139
1	1491	1491	180083	66	66	9	9	63	63	34	34	130	130
1	4041	4041	324799	154	154	0	0	158	158	47	47	181	181
1	1706	1706	230964	53	53	4	4	102	102	30	30	116	116
1	2152	2152	236785	119	119	3	3	77	77	31	31	116	116
1	1036	1036	135473	41	41	0	0	82	82	23	23	88	88
1	1882	1882	202925	61	61	7	7	115	115	36	36	139	139
1	1929	1929	215147	58	58	0	0	101	101	36	36	135	135
1	2242	2242	344297	75	75	1	1	80	80	30	30	108	108
1	1220	1220	153935	33	33	5	5	50	50	25	25	89	89
1	1289	1289	132943	40	40	7	7	83	83	39	39	156	156
1	2515	2515	174724	92	92	0	0	123	123	34	34	129	129
1	2147	2147	174415	100	100	0	0	73	73	31	31	118	118
1	2352	2352	225548	112	112	5	5	81	81	31	31	118	118
1	1638	1638	223632	73	73	0	0	105	105	33	33	125	125
1	1222	1222	124817	40	40	0	0	47	47	25	25	95	95
1	1812	1812	221698	45	45	0	0	105	105	33	33	126	126
1	1677	1677	210767	60	60	3	3	94	94	35	35	135	135
1	1579	1579	170266	62	62	4	4	44	44	42	42	154	154
1	1731	1731	260561	75	75	1	1	114	114	43	43	165	165
1	807	807	84853	31	31	4	4	38	38	30	30	113	113
1	2452	2452	294424	77	77	2	2	107	107	33	33	127	127
0	829	0	101011	34	0	0	0	30	0	13	0	52	0
1	1940	1940	215641	46	46	0	0	71	71	32	32	121	121
1	2662	2662	325107	99	99	0	0	84	84	36	36	136	136
0	186	0	7176	17	0	0	0	0	0	0	0	0	0
1	1499	1499	167542	66	66	2	2	59	59	28	28	108	108
1	865	865	106408	30	30	1	1	33	33	14	14	46	46
0	1793	0	96560	76	0	0	0	42	0	17	0	54	0
1	2527	2527	265769	146	146	2	2	96	96	32	32	124	124
1	2747	2747	269651	67	67	10	10	106	106	30	30	115	115
1	1324	1324	149112	56	56	6	6	56	56	35	35	128	128
0	2702	0	175824	107	0	0	0	57	0	20	0	80	0
1	1383	1383	152871	58	58	5	5	59	59	28	28	97	97
1	1179	1179	111665	34	34	4	4	39	39	28	28	104	104
1	2099	2099	116408	61	61	1	1	34	34	39	39	59	59
1	4308	4308	362301	119	119	2	2	76	76	34	34	125	125
1	918	918	78800	42	42	2	2	20	20	26	26	82	82
1	1831	1831	183167	66	66	0	0	91	91	39	39	149	149
1	3373	3373	277965	89	89	8	8	115	115	39	39	149	149
1	1713	1713	150629	44	44	3	3	85	85	33	33	122	122
1	1438	1438	168809	66	66	0	0	76	76	28	28	118	118
1	496	496	24188	24	24	0	0	8	8	4	4	12	12
1	2253	2253	329267	259	259	8	8	79	79	39	39	144	144
1	744	744	65029	17	17	5	5	21	21	18	18	67	67
1	1161	1161	101097	64	64	3	3	30	30	14	14	52	52
1	2352	2352	218946	41	41	1	1	76	76	29	29	108	108
1	2144	2144	244052	68	68	5	5	101	101	44	44	166	166
0	4691	0	341570	168	0	1	0	94	0	21	0	80	0
0	1112	0	103597	43	0	1	0	27	0	16	0	60	0
1	2694	2694	233328	132	132	5	5	92	92	28	28	107	107
1	1973	1973	256462	105	105	0	0	123	123	35	35	127	127
1	1769	1769	206161	71	71	12	12	75	75	28	28	107	107
1	3148	3148	311473	112	112	8	8	128	128	38	38	146	146
1	2474	2474	235800	94	94	8	8	105	105	23	23	84	84
1	2084	2084	177939	82	82	8	8	55	55	36	36	141	141
1	1954	1954	207176	70	70	8	8	56	56	32	32	123	123
1	1226	1226	196553	57	57	2	2	41	41	29	29	111	111
1	1389	1389	174184	53	53	0	0	72	72	25	25	98	98
1	1496	1496	143246	103	103	5	5	67	67	27	27	105	105
1	2269	2269	187559	121	121	8	8	75	75	36	36	135	135
1	1833	1833	187681	62	62	2	2	114	114	28	28	107	107
1	1268	1268	119016	52	52	5	5	118	118	23	23	85	85
1	1943	1943	182192	52	52	12	12	77	77	40	40	155	155
1	893	893	73566	32	32	6	6	22	22	23	23	88	88
1	1762	1762	194979	62	62	7	7	66	66	40	40	155	155
1	1403	1403	167488	45	45	2	2	69	69	28	28	104	104
1	1425	1425	143756	46	46	0	0	105	105	34	34	132	132
1	1857	1857	275541	63	63	4	4	116	116	33	33	127	127
1	1840	1840	243199	75	75	3	3	88	88	28	28	108	108
1	1502	1502	182999	88	88	6	6	73	73	34	34	129	129
1	1441	1441	135649	46	46	2	2	99	99	30	30	116	116
1	1420	1420	152299	53	53	0	0	62	62	33	33	122	122
1	1416	1416	120221	37	37	1	1	53	53	22	22	85	85
1	2970	2970	346485	90	90	0	0	118	118	38	38	147	147
1	1317	1317	145790	63	63	5	5	30	30	26	26	99	99
1	1644	1644	193339	78	78	2	2	100	100	35	35	87	87
1	870	870	80953	25	25	0	0	49	49	8	8	28	28
1	1654	1654	122774	45	45	0	0	24	24	24	24	90	90
1	1054	1054	130585	46	46	5	5	67	67	29	29	109	109
0	937	0	112611	41	0	0	0	46	0	20	0	78	0
1	3004	3004	286468	144	144	1	1	57	57	29	29	111	111
1	2008	2008	241066	82	82	0	0	75	75	45	45	158	158
1	2547	2547	148446	91	91	1	1	135	135	37	37	141	141
1	1885	1885	204713	71	71	1	1	68	68	33	33	122	122
1	1626	1626	182079	63	63	2	2	124	124	33	33	124	124
1	1468	1468	140344	53	53	6	6	33	33	25	25	93	93
1	2445	2445	220516	62	62	1	1	98	98	32	32	124	124
1	1964	1964	243060	63	63	4	4	58	58	29	29	112	112
1	1381	1381	162765	32	32	2	2	68	68	28	28	108	108
1	1369	1369	182613	39	39	3	3	81	81	28	28	99	99
1	1659	1659	232138	62	62	0	0	131	131	31	31	117	117
1	2888	2888	265318	117	117	10	10	110	110	52	52	199	199
0	1290	0	85574	34	0	0	0	37	0	21	0	78	0
1	2845	2845	310839	92	92	9	9	130	130	24	24	91	91
1	1982	1982	225060	93	93	7	7	93	93	41	41	158	158
1	1904	1904	232317	54	54	0	0	118	118	33	33	126	126
1	1391	1391	144966	144	144	0	0	39	39	32	32	122	122
1	602	602	43287	14	14	4	4	13	13	19	19	71	71
1	1743	1743	155754	61	61	4	4	74	74	20	20	75	75
1	1559	1559	164709	109	109	0	0	81	81	31	31	115	115
1	2014	2014	201940	38	38	0	0	109	109	31	31	119	119
1	2143	2143	235454	73	73	0	0	151	151	32	32	124	124
0	2146	0	220801	75	0	1	0	51	0	18	0	72	0
1	874	874	99466	50	50	0	0	28	28	23	23	91	91
0	1590	0	92661	61	0	1	0	40	0	17	0	45	0
0	1590	0	133328	55	0	0	0	56	0	20	0	78	0
0	1210	0	61361	77	0	0	0	27	0	12	0	39	0
0	2072	0	125930	75	0	4	0	37	0	17	0	68	0
1	1281	1281	100750	72	72	0	0	83	83	30	30	119	119
1	1401	1401	224549	50	50	4	4	54	54	31	31	117	117
0	834	0	82316	32	0	4	0	27	0	10	0	39	0
0	1105	0	102010	53	0	3	0	28	0	13	0	50	0
0	1272	0	101523	42	0	0	0	59	0	22	0	88	0
1	1944	1944	243511	71	71	0	0	133	133	42	42	155	155
1	391	391	22938	10	10	0	0	12	12	1	1	0	0
0	761	0	41566	35	0	5	0	0	0	9	0	36	0
1	1605	1605	152474	65	65	0	0	106	106	32	32	123	123
1	530	530	61857	25	25	4	4	23	23	11	11	32	32
0	1988	0	99923	66	0	0	0	44	0	25	0	99	0
1	1386	1386	132487	41	41	0	0	71	71	36	36	136	136
1	2395	2395	317394	86	86	1	1	116	116	31	31	117	117
1	387	387	21054	16	16	0	0	4	4	0	0	0	0
1	1742	1742	209641	42	42	5	5	62	62	24	24	88	88
0	620	0	22648	19	0	0	0	12	0	13	0	39	0
1	449	449	31414	19	19	0	0	18	18	8	8	25	25
0	800	0	46698	45	0	0	0	14	0	13	0	52	0
0	1684	0	131698	65	0	0	0	60	0	19	0	75	0
0	1050	0	91735	35	0	0	0	7	0	18	0	71	0
1	2699	2699	244749	95	95	2	2	98	98	33	33	124	124
1	1606	1606	184510	49	49	7	7	64	64	40	40	151	151
0	1502	0	79863	37	0	1	0	29	0	22	0	71	0
1	1204	1204	128423	64	64	8	8	32	32	38	38	145	145
1	1138	1138	97839	38	38	2	2	25	25	24	24	87	87
1	568	568	38214	34	34	0	0	16	16	8	8	27	27
1	1459	1459	151101	32	32	2	2	48	48	35	35	131	131
1	2158	2158	272458	65	65	0	0	100	100	43	43	162	162
1	1111	1111	172494	52	52	0	0	46	46	43	43	165	165
0	1421	0	108043	62	0	1	0	45	0	14	0	54	0
1	2833	2833	328107	65	65	3	3	129	129	41	41	159	159
1	1955	1955	250579	83	83	0	0	130	130	38	38	147	147
1	2922	2922	351067	95	95	3	3	136	136	45	45	170	170
1	1002	1002	158015	29	29	0	0	59	59	31	31	119	119
0	1060	0	98866	18	0	0	0	25	0	13	0	49	0
1	956	956	85439	33	33	0	0	32	32	28	28	104	104
1	2186	2186	229242	247	247	4	4	63	63	31	31	120	120
1	3604	3604	351619	139	139	4	4	95	95	40	40	150	150
1	1035	1035	84207	29	29	11	11	14	14	30	30	112	112
0	1417	0	120445	118	0	0	0	36	0	16	0	59	0
1	3261	3261	324598	110	110	0	0	113	113	37	37	136	136
1	1587	1587	131069	67	67	4	4	47	47	30	30	107	107
1	1424	1424	204271	42	42	0	0	92	92	35	35	130	130
1	1701	1701	165543	65	65	1	1	70	70	32	32	115	115
1	1249	1249	141722	94	94	0	0	19	19	27	27	107	107
0	946	0	116048	64	0	0	0	50	0	20	0	75	0
0	1926	0	250047	81	0	0	0	41	0	18	0	71	0
1	3352	3352	299775	95	95	9	9	91	91	31	31	120	120
1	1641	1641	195838	67	67	1	1	111	111	31	31	116	116
1	2035	2035	173260	63	63	3	3	41	41	21	21	79	79
1	2312	2312	254488	83	83	10	10	120	120	39	39	150	150
1	1369	1369	104389	45	45	5	5	135	135	41	41	156	156
0	1577	0	136084	30	0	0	0	27	0	13	0	51	0
1	2201	2201	199476	70	70	2	2	87	87	32	32	118	118
0	961	0	92499	32	0	0	0	25	0	18	0	71	0
1	1900	1900	224330	83	83	1	1	131	131	39	39	144	144
0	1254	0	135781	31	0	2	0	45	0	14	0	47	0
0	1335	0	74408	67	0	4	0	29	0	7	0	28	0
0	1597	0	81240	66	0	0	0	58	0	17	0	68	0
1	207	207	14688	10	10	0	0	4	4	0	0	0	0
1	1645	1645	181633	70	70	2	2	47	47	30	30	110	110
1	2429	2429	271856	103	103	1	1	109	109	37	37	147	147
1	151	151	7199	5	5	0	0	7	7	0	0	0	0
1	474	474	46660	20	20	0	0	12	12	5	5	15	15
1	141	141	17547	5	5	0	0	0	0	1	1	4	4
0	1639	0	133368	36	0	1	0	37	0	16	0	64	0
1	872	872	95227	34	34	0	0	37	37	32	32	111	111
1	1318	1318	152601	48	48	2	2	46	46	24	24	85	85
0	1018	0	98146	40	0	0	0	15	0	17	0	68	0
0	1383	0	79619	43	0	3	0	42	0	11	0	40	0
0	1314	0	59194	31	0	6	0	7	0	24	0	80	0
0	1335	0	139942	42	0	0	0	54	0	22	0	88	0
0	1403	0	118612	46	0	2	0	54	0	12	0	48	0
0	910	0	72880	33	0	0	0	14	0	19	0	76	0
0	616	0	65475	18	0	2	0	16	0	13	0	51	0
0	1407	0	99643	55	0	1	0	33	0	17	0	67	0
0	771	0	71965	35	0	1	0	32	0	15	0	59	0
0	766	0	77272	59	0	2	0	21	0	16	0	61	0
0	473	0	49289	19	0	1	0	15	0	24	0	76	0
0	1376	0	135131	66	0	0	0	38	0	15	0	60	0
0	1232	0	108446	60	0	1	0	22	0	17	0	68	0
0	1521	0	89746	36	0	3	0	28	0	18	0	71	0
0	572	0	44296	25	0	0	0	10	0	20	0	76	0
0	1059	0	77648	47	0	0	0	31	0	16	0	62	0
0	1544	0	181528	54	0	0	0	32	0	16	0	61	0
0	1230	0	134019	53	0	0	0	32	0	18	0	67	0
0	1206	0	124064	40	0	1	0	43	0	22	0	88	0
0	1205	0	92630	40	0	4	0	27	0	8	0	30	0
0	1255	0	121848	39	0	0	0	37	0	17	0	64	0
0	613	0	52915	14	0	0	0	20	0	18	0	68	0
0	721	0	81872	45	0	0	0	32	0	16	0	64	0
0	1109	0	58981	36	0	7	0	0	0	23	0	91	0
0	740	0	53515	28	0	2	0	5	0	22	0	88	0
0	1126	0	60812	44	0	0	0	26	0	13	0	52	0
0	728	0	56375	30	0	7	0	10	0	13	0	49	0
0	689	0	65490	22	0	3	0	27	0	16	0	62	0
0	592	0	80949	17	0	0	0	11	0	16	0	61	0
0	995	0	76302	31	0	0	0	29	0	20	0	76	0
0	1613	0	104011	55	0	6	0	25	0	22	0	88	0
0	2048	0	98104	54	0	2	0	55	0	17	0	66	0
0	705	0	67989	21	0	0	0	23	0	18	0	71	0
0	301	0	30989	14	0	0	0	5	0	17	0	68	0
0	1803	0	135458	81	0	3	0	43	0	12	0	48	0
0	799	0	73504	35	0	0	0	23	0	7	0	25	0
0	861	0	63123	43	0	1	0	34	0	17	0	68	0
0	1186	0	61254	46	0	1	0	36	0	14	0	41	0
0	1451	0	74914	30	0	0	0	35	0	23	0	90	0
0	628	0	31774	23	0	1	0	0	0	17	0	66	0
0	1161	0	81437	38	0	0	0	37	0	14	0	54	0
0	1463	0	87186	54	0	0	0	28	0	15	0	59	0
0	742	0	50090	20	0	0	0	16	0	17	0	60	0
0	979	0	65745	53	0	0	0	26	0	21	0	77	0
0	675	0	56653	45	0	0	0	38	0	18	0	68	0
0	1241	0	158399	39	0	0	0	23	0	18	0	72	0
0	676	0	46455	20	0	0	0	22	0	17	0	67	0
0	1049	0	73624	24	0	0	0	30	0	17	0	64	0
0	620	0	38395	31	0	0	0	16	0	16	0	63	0
0	1081	0	91899	35	0	0	0	18	0	15	0	59	0
0	1688	0	139526	151	0	0	0	28	0	21	0	84	0
0	736	0	52164	52	0	0	0	32	0	16	0	64	0
0	617	0	51567	30	0	2	0	21	0	14	0	56	0
0	812	0	70551	31	0	0	0	23	0	15	0	54	0
0	1051	0	84856	29	0	1	0	29	0	17	0	67	0
0	1656	0	102538	57	0	1	0	50	0	15	0	58	0
0	705	0	86678	40	0	0	0	12	0	15	0	59	0
0	945	0	85709	44	0	0	0	21	0	10	0	40	0
0	554	0	34662	25	0	0	0	18	0	6	0	22	0
0	1597	0	150580	77	0	0	0	27	0	22	0	83	0
0	982	0	99611	35	0	0	0	41	0	21	0	81	0
0	222	0	19349	11	0	0	0	13	0	1	0	2	0
0	1212	0	99373	63	0	1	0	12	0	18	0	72	0
0	1143	0	86230	44	0	0	0	21	0	17	0	61	0
0	435	0	30837	19	0	0	0	8	0	4	0	15	0
0	532	0	31706	13	0	0	0	26	0	10	0	32	0
0	882	0	89806	42	0	0	0	27	0	16	0	62	0
0	608	0	62088	38	0	1	0	13	0	16	0	58	0
0	459	0	40151	29	0	0	0	16	0	9	0	36	0
0	578	0	27634	20	0	0	0	2	0	16	0	59	0
0	826	0	76990	27	0	0	0	42	0	17	0	68	0
0	509	0	37460	20	0	0	0	5	0	7	0	21	0
0	717	0	54157	19	0	0	0	37	0	15	0	55	0
0	637	0	49862	37	0	0	0	17	0	14	0	54	0
0	857	0	84337	26	0	0	0	38	0	14	0	55	0
0	830	0	64175	42	0	0	0	37	0	18	0	72	0
0	652	0	59382	49	0	0	0	29	0	12	0	41	0
0	707	0	119308	30	0	0	0	32	0	16	0	61	0
0	954	0	76702	49	0	0	0	35	0	21	0	67	0
0	1461	0	103425	67	0	1	0	17	0	19	0	76	0
0	672	0	70344	28	0	0	0	20	0	16	0	64	0
0	778	0	43410	19	0	0	0	7	0	1	0	3	0
0	1141	0	104838	49	0	1	0	46	0	16	0	63	0
0	680	0	62215	27	0	0	0	24	0	10	0	40	0
0	1090	0	69304	30	0	6	0	40	0	19	0	69	0
0	616	0	53117	22	0	3	0	3	0	12	0	48	0
0	285	0	19764	12	0	1	0	10	0	2	0	8	0
0	1145	0	86680	31	0	2	0	37	0	14	0	52	0
0	733	0	84105	20	0	0	0	17	0	17	0	66	0
0	888	0	77945	20	0	0	0	28	0	19	0	76	0
0	849	0	89113	39	0	0	0	19	0	14	0	43	0
0	1182	0	91005	29	0	3	0	29	0	11	0	39	0
0	528	0	40248	16	0	1	0	8	0	4	0	14	0
0	642	0	64187	27	0	0	0	10	0	16	0	61	0
0	947	0	50857	21	0	0	0	15	0	20	0	71	0
0	819	0	56613	19	0	1	0	15	0	12	0	44	0
0	757	0	62792	35	0	0	0	28	0	15	0	60	0
0	894	0	72535	14	0	0	0	17	0	16	0	64	0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time19 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 19 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189751&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]19 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189751&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189751&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time19 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Multiple Linear Regression - Estimated Regression Equation
time_in_rfc[t] = + 6943.13839449634 -8634.04011354571pop[t] + 54.6308630677891pageviews[t] + 15.5415941936412pageviews_p[t] + 169.584091684584logins[t] -0.854341195300784logins_p[t] -2772.50305872842shared_compendiums[t] + 1791.59253418945shared_compendiums_p[t] + 345.381137625476blogged_computations[t] + 19.1624876528432blogged_computations_p[t] -4517.16576916986compendiums_reviewed[t] + 3450.56225204263compendiums_reviewed_p[t] + 1291.5044154541feedback_messages[t] -744.87728714456feedback_messages_p[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
time_in_rfc[t] =  +  6943.13839449634 -8634.04011354571pop[t] +  54.6308630677891pageviews[t] +  15.5415941936412pageviews_p[t] +  169.584091684584logins[t] -0.854341195300784logins_p[t] -2772.50305872842shared_compendiums[t] +  1791.59253418945shared_compendiums_p[t] +  345.381137625476blogged_computations[t] +  19.1624876528432blogged_computations_p[t] -4517.16576916986compendiums_reviewed[t] +  3450.56225204263compendiums_reviewed_p[t] +  1291.5044154541feedback_messages[t] -744.87728714456feedback_messages_p[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189751&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]time_in_rfc[t] =  +  6943.13839449634 -8634.04011354571pop[t] +  54.6308630677891pageviews[t] +  15.5415941936412pageviews_p[t] +  169.584091684584logins[t] -0.854341195300784logins_p[t] -2772.50305872842shared_compendiums[t] +  1791.59253418945shared_compendiums_p[t] +  345.381137625476blogged_computations[t] +  19.1624876528432blogged_computations_p[t] -4517.16576916986compendiums_reviewed[t] +  3450.56225204263compendiums_reviewed_p[t] +  1291.5044154541feedback_messages[t] -744.87728714456feedback_messages_p[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189751&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189751&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
time_in_rfc[t] = + 6943.13839449634 -8634.04011354571pop[t] + 54.6308630677891pageviews[t] + 15.5415941936412pageviews_p[t] + 169.584091684584logins[t] -0.854341195300784logins_p[t] -2772.50305872842shared_compendiums[t] + 1791.59253418945shared_compendiums_p[t] + 345.381137625476blogged_computations[t] + 19.1624876528432blogged_computations_p[t] -4517.16576916986compendiums_reviewed[t] + 3450.56225204263compendiums_reviewed_p[t] + 1291.5044154541feedback_messages[t] -744.87728714456feedback_messages_p[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)6943.138394496348937.6479610.77680.437920.21896
pop-8634.0401135457111763.551392-0.7340.4635950.231798
pageviews54.63086306778919.4914865.755800
pageviews_p15.541594193641210.9728471.41640.1577990.0789
logins169.584091684584171.7620910.98730.3243540.162177
logins_p-0.854341195300784192.938853-0.00440.996470.498235
shared_compendiums-2772.503058728421711.068528-1.62030.1063070.053153
shared_compendiums_p1791.592534189451882.9571720.95150.3421970.171099
blogged_computations345.381137625476243.9537831.41580.1579760.078988
blogged_computations_p19.1624876528432264.2399370.07250.9422410.471121
compendiums_reviewed-4517.165769169862304.231127-1.96040.0509610.025481
compendiums_reviewed_p3450.562252042632523.101621.36760.1725580.086279
feedback_messages1291.5044154541586.0599732.20370.0283740.014187
feedback_messages_p-744.87728714456645.520949-1.15390.2495360.124768

\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) & 6943.13839449634 & 8937.647961 & 0.7768 & 0.43792 & 0.21896 \tabularnewline
pop & -8634.04011354571 & 11763.551392 & -0.734 & 0.463595 & 0.231798 \tabularnewline
pageviews & 54.6308630677891 & 9.491486 & 5.7558 & 0 & 0 \tabularnewline
pageviews_p & 15.5415941936412 & 10.972847 & 1.4164 & 0.157799 & 0.0789 \tabularnewline
logins & 169.584091684584 & 171.762091 & 0.9873 & 0.324354 & 0.162177 \tabularnewline
logins_p & -0.854341195300784 & 192.938853 & -0.0044 & 0.99647 & 0.498235 \tabularnewline
shared_compendiums & -2772.50305872842 & 1711.068528 & -1.6203 & 0.106307 & 0.053153 \tabularnewline
shared_compendiums_p & 1791.59253418945 & 1882.957172 & 0.9515 & 0.342197 & 0.171099 \tabularnewline
blogged_computations & 345.381137625476 & 243.953783 & 1.4158 & 0.157976 & 0.078988 \tabularnewline
blogged_computations_p & 19.1624876528432 & 264.239937 & 0.0725 & 0.942241 & 0.471121 \tabularnewline
compendiums_reviewed & -4517.16576916986 & 2304.231127 & -1.9604 & 0.050961 & 0.025481 \tabularnewline
compendiums_reviewed_p & 3450.56225204263 & 2523.10162 & 1.3676 & 0.172558 & 0.086279 \tabularnewline
feedback_messages & 1291.5044154541 & 586.059973 & 2.2037 & 0.028374 & 0.014187 \tabularnewline
feedback_messages_p & -744.87728714456 & 645.520949 & -1.1539 & 0.249536 & 0.124768 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189751&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]6943.13839449634[/C][C]8937.647961[/C][C]0.7768[/C][C]0.43792[/C][C]0.21896[/C][/ROW]
[ROW][C]pop[/C][C]-8634.04011354571[/C][C]11763.551392[/C][C]-0.734[/C][C]0.463595[/C][C]0.231798[/C][/ROW]
[ROW][C]pageviews[/C][C]54.6308630677891[/C][C]9.491486[/C][C]5.7558[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]pageviews_p[/C][C]15.5415941936412[/C][C]10.972847[/C][C]1.4164[/C][C]0.157799[/C][C]0.0789[/C][/ROW]
[ROW][C]logins[/C][C]169.584091684584[/C][C]171.762091[/C][C]0.9873[/C][C]0.324354[/C][C]0.162177[/C][/ROW]
[ROW][C]logins_p[/C][C]-0.854341195300784[/C][C]192.938853[/C][C]-0.0044[/C][C]0.99647[/C][C]0.498235[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]-2772.50305872842[/C][C]1711.068528[/C][C]-1.6203[/C][C]0.106307[/C][C]0.053153[/C][/ROW]
[ROW][C]shared_compendiums_p[/C][C]1791.59253418945[/C][C]1882.957172[/C][C]0.9515[/C][C]0.342197[/C][C]0.171099[/C][/ROW]
[ROW][C]blogged_computations[/C][C]345.381137625476[/C][C]243.953783[/C][C]1.4158[/C][C]0.157976[/C][C]0.078988[/C][/ROW]
[ROW][C]blogged_computations_p[/C][C]19.1624876528432[/C][C]264.239937[/C][C]0.0725[/C][C]0.942241[/C][C]0.471121[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]-4517.16576916986[/C][C]2304.231127[/C][C]-1.9604[/C][C]0.050961[/C][C]0.025481[/C][/ROW]
[ROW][C]compendiums_reviewed_p[/C][C]3450.56225204263[/C][C]2523.10162[/C][C]1.3676[/C][C]0.172558[/C][C]0.086279[/C][/ROW]
[ROW][C]feedback_messages[/C][C]1291.5044154541[/C][C]586.059973[/C][C]2.2037[/C][C]0.028374[/C][C]0.014187[/C][/ROW]
[ROW][C]feedback_messages_p[/C][C]-744.87728714456[/C][C]645.520949[/C][C]-1.1539[/C][C]0.249536[/C][C]0.124768[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189751&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189751&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
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)6943.138394496348937.6479610.77680.437920.21896
pop-8634.0401135457111763.551392-0.7340.4635950.231798
pageviews54.63086306778919.4914865.755800
pageviews_p15.541594193641210.9728471.41640.1577990.0789
logins169.584091684584171.7620910.98730.3243540.162177
logins_p-0.854341195300784192.938853-0.00440.996470.498235
shared_compendiums-2772.503058728421711.068528-1.62030.1063070.053153
shared_compendiums_p1791.592534189451882.9571720.95150.3421970.171099
blogged_computations345.381137625476243.9537831.41580.1579760.078988
blogged_computations_p19.1624876528432264.2399370.07250.9422410.471121
compendiums_reviewed-4517.165769169862304.231127-1.96040.0509610.025481
compendiums_reviewed_p3450.562252042632523.101621.36760.1725580.086279
feedback_messages1291.5044154541586.0599732.20370.0283740.014187
feedback_messages_p-744.87728714456645.520949-1.15390.2495360.124768







Multiple Linear Regression - Regression Statistics
Multiple R0.93981236641094
R-squared0.883247284058931
Adjusted R-squared0.877728064759899
F-TEST (value)160.03119937883
F-TEST (DF numerator)13
F-TEST (DF denominator)275
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28791.9527547838
Sum Squared Residuals227968549444.268

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.93981236641094 \tabularnewline
R-squared & 0.883247284058931 \tabularnewline
Adjusted R-squared & 0.877728064759899 \tabularnewline
F-TEST (value) & 160.03119937883 \tabularnewline
F-TEST (DF numerator) & 13 \tabularnewline
F-TEST (DF denominator) & 275 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 28791.9527547838 \tabularnewline
Sum Squared Residuals & 227968549444.268 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189751&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.93981236641094[/C][/ROW]
[ROW][C]R-squared[/C][C]0.883247284058931[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.877728064759899[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]160.03119937883[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]13[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]275[/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]28791.9527547838[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]227968549444.268[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189751&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189751&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 R0.93981236641094
R-squared0.883247284058931
Adjusted R-squared0.877728064759899
F-TEST (value)160.03119937883
F-TEST (DF numerator)13
F-TEST (DF denominator)275
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28791.9527547838
Sum Squared Residuals227968549444.268







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907163982.7377702146924.2622297904
2120982115675.1763426985306.82365730196
3176508164162.68272195112345.3172780493
4179321234560.155097394-55239.1550973944
512318598870.766755419424314.2332445806
65274659552.1066955642-6806.10669556416
7385534308375.16606801577158.8339319846
83317045169.9133474761-11999.9133474761
910164596791.91851905154853.08148094851
10149061154518.051797243-5457.0517972427
11165446154180.09119510611265.9088048938
12237213200697.87901542436515.1209845759
13173326186359.066577795-13033.0665777949
14133131135227.544407106-2096.54440710635
15258873230186.88294632228686.1170536784
16180083163007.45635963417075.5436403657
17324799414267.417362763-89468.4173627625
18230964191636.43619520639327.5638047942
19236785224870.2320415511914.7679584498
20135473131389.5674439894083.43255601107
21202925213305.765080489-10380.7650804892
22215147215673.935724947-526.935724946723
23344297223510.682589114120786.317410886
24153935124794.93303863229140.0669613681
25132943162577.62778516-29634.6277851604
26174724269405.211217301-94681.2112173008
27174415223891.315825069-49476.3158250694
28225548238313.222949066-12765.2229490657
29223632196976.41068860926655.5893113907
30124817133207.070723297-8390.07072329689
31221698205008.61236670816689.3876332923
32210767193900.00256260716866.9974373931
33170266171072.160281501-806.160281501152
34260561217338.94077897643222.0592210237
358485399868.6692036746-15015.6692036746
36294424254632.23035946839791.7696405315
3710101176794.49172813924216.508271861
38215641200098.40126277715542.5987372232
39325107268377.65216621456729.3478337861
40717619987.4084837431-12811.4084837431
41167542163350.8594683394191.14053166128
4210640885331.594098869821076.4059011302
4396560125240.094981975-28680.0949819747
44265769266954.259691973-1185.25969197338
45269651262074.2649367757576.73506322541
46149112147832.4269150051279.57308499498
47175824205364.990911496-29540.9909114964
48152871144905.3864370777965.61356292339
49111665124057.119061141-12392.1190611414
50116408157960.636989764-41552.6369897643
51362301378498.250399859-16197.2503998589
527880092234.8481000568-13434.8481000568
53183167210954.40590941-27787.4059094096
54277965323942.882078157-45977.8820781565
55150629185472.696754915-34843.6967549154
56168809172695.673537296-3886.67353729629
572418842373.6115677951-18185.6115677951
58329267258177.08137696671089.9186230344
596502973561.8300383718-8532.83003837184
60101097112063.763809833-10966.7638098332
61218946225101.27038725-6155.27038724987
62244052235956.371758938095.62824106973
63341570329859.84041033311710.159589667
6410359786753.17434600316843.825653997
65233328266883.690360299-33555.6903602987
66256462231405.3683642225056.6316357801
67206161178618.03731212527542.9626878749
68311473316200.652716405-4727.65271640494
69235800239590.948433709-3790.94843370908
70177939209263.652422954-31324.652422954
71207176192908.14535731214267.8546426879
72196553136686.70349435659866.2965056437
73174184157872.82985920316311.170140797
74143246168783.682425466-25537.6824254661
75187559232837.12702111-45278.1270211098
76187681205616.813453697-17935.8134536973
77119016156104.741286419-37088.7412864188
78182192201790.126820206-19598.1268202057
797356692078.2576372678-18512.2576372678
80194979191670.7823054133308.21769458701
81167488154529.90655051112958.0934494885
82143756180233.760409754-36477.7604097535
83275541211836.47336049463704.5266395056
84243199198389.08975742244809.9102425777
85182999173532.9485983659466.05140163512
86135649172727.816940745-37078.8169407447
87152299160988.962723935-8689.96272393544
88120221145254.228675964-25033.2286759637
89346485304746.37588494441738.6241150557
90145790133772.34916807112017.6508319291
91193339171551.51709913821787.4829008624
928095388212.7489549142-7259.74895491422
93122774154314.185506859-31540.1855068594
94130585128203.1620170082381.83798299151
9511261191366.766200877621244.2337991224
96286468282946.4293267393521.57067326075
97241066218761.93190008122304.0680999193
98148446278235.328066311-129789.328066311
99204713197862.6420864396850.35791356141
100182079198864.92439948-16785.9243994798
101140344140580.65380822-236.653808220035
102220516248736.816930532-28220.8169305319
103243060194268.40316519148791.5968348094
104162765152614.59062235910150.4093776408
105182613151792.1418379430820.8581620597
106232138203832.32930073228305.6706992684
107265318304314.644837416-38996.6448374164
10885574101838.776214216-16264.7762142159
109310839276179.9370651834659.0629348202
110225060222755.3009184112304.69908158855
111232317217722.11331778114594.886682219
112144966166990.468893605-22024.4688936046
1134328762275.6183742042-18988.6183742043
114155754173629.756520581-17875.756520581
115164709185424.94632705-20715.9463270498
116201940217767.332117293-15827.3321172926
117235454249702.484757252-14248.4847572519
118220801163421.04644212557379.9535578754
11999466103494.72274194-4028.72274194019
1209266196519.4633308785-3858.46333087845
121133328132868.708443983459.291556017167
1226136191592.4314547938-30231.4314547938
123125930145576.66557952-19646.6655795197
124100750163656.201721191-62906.2017211907
125224549151709.57707682572839.4229231753
1268231661364.262118924820951.7378810752
12710201083503.427394511418506.5726054886
128101523118208.356825604-16685.3568256041
129243511235118.3268125638392.67318743741
1302293830741.7465612753-7803.74656127535
1314156646429.8201382213-4863.82013822127
132152474193648.774480854-41174.7744808542
1336185749939.035092492211917.9649075078
13499923156868.407180675-56945.4071806745
135132487164312.204043632-31825.2040436322
136317394253079.70695317364314.2930468266
1372105429623.689750066-8569.689750066
138209641167838.0233756641802.9766243405
1392264839826.4620935404-17178.4620935404
1403141444717.0321763598-13303.0321763598
1414669871549.5235056959-24851.5235056959
142131698141724.02756251-10026.0275625103
1439173583046.48544019778688.51455980231
144244749270081.188799415-25332.1887994153
145184510175614.7964524748895.20354752565
1467986394836.0226225602-14973.0226225602
147128423136143.552621671-7720.5526216706
14897839113686.930497808-15847.9304978081
1493821455962.6678538717-17748.6678538717
150151101155903.369114413-4802.36911441332
151272458239852.70091042832605.299089572
152172494146143.17702124926350.8229787508
153108043114358.374298831-6315.37429883056
154328107295341.46877067432765.5312293263
155250579236714.74701450713864.2529854927
156351067310946.99970146440120.0002985362
157158015127007.05635040631007.9436495944
1589886681099.456695355217766.5433046448
15985439109611.768062561-24172.7680625609
160229242244955.49088587-15713.4908858698
161351619344702.0004337836916.99956621706
1628420799368.4821515401-15161.4821515401
163120445120723.823339926-278.823339926052
164324598321772.1429371372825.85706286317
165131069160678.586742852-29609.5867428521
166204271172589.74404817131681.2559518295
167165543181907.832316917-16364.8323169168
168141722138432.2305934443289.76940655603
16911604893265.889381372722782.1106186273
170250047150446.94838433899600.051615662
171299775306432.322863425-6657.32286342458
172195838194594.4636640571243.53633594266
173173260184528.449428363-11268.4494283626
174254488248885.0506264665602.94937353361
175104389187819.955647817-83430.9556478173
176136084114652.39310777621431.6068922236
177199476224693.922190199-25217.9221901994
1789249983892.44682936938606.55317063073
179224330229532.410063812-5202.41006381211
18013578188164.879357380547616.1206426195
1817440894705.478737613-20297.478737613
18281240136443.764922207-55203.7649222073
1831468815980.2689400728-1292.26894007284
184181633168856.48094948912776.5190505105
185271856265781.3636279556074.63637204548
186719912300.5934568213-5101.59345682133
1874666042186.35087500124473.64912499878
1881754710166.96850336977380.03149663027
189133368122976.37957900710391.6204209931
19095227105268.705359139-10041.7053591395
191152601134567.43218398418033.567816016
1929814685551.919904262712594.0800957373
1937961997949.5897210663-18330.5897210663
1945919464676.2236950529-5482.22369505293
195139942119923.19551074720018.8044892526
196118612112282.9055221736329.09447782704
1977288079417.020698817-6537.02069881704
1986547550772.925968078914702.0740319211
19999643111499.940015977-11856.9400159775
2007196571719.9443482533245.055651746678
2017727267010.955722474110261.0442775259
2024928928156.205487656821132.7945123432
203135131116165.01764642318965.9823535768
204108446100279.7713391118166.22866088882
20589746107882.700750761-18136.7007507607
2064429653696.4259287559-9400.42592875587
2077764891273.111410287-13625.111410287
208181528118010.04536212863517.9546378718
20913401999401.065221542734617.9347784573
210124064105964.95041902518099.0495809752
2119263080399.776849804112230.2231501959
212121848100762.21772558821085.7822744118
2135291556226.9738969664-3311.97389696644
2148187275397.10147853886474.89852146121
2155898167858.3605416373-8877.36054163734
2165351562574.9728407235-9059.97284072353
2176081293334.1744256163-32522.1744256163
2185637540408.780781583115966.2192184169
2196549057121.05605640328368.94394359675
2208094952473.848439128328475.1515608717
2217630284385.0271714222-8083.02717142222
222104011110664.097291983-6653.09729198303
22398104149883.116704324-51779.1167043237
2246798967350.7586002339638.241399766125
2253098938518.593324604-7529.59332460396
226135458133498.998385641959.00161435961
2277350465139.85736216998364.14263783011
2286312381273.3652338292-18150.3652338292
2296125478908.7883714141-17654.7883714141
23074914115728.96797325-40814.9679732502
2313177450826.7247951683-19052.7247951683
2328143796093.7856585-14656.7856585
23387186114137.577841397-26951.577841397
2345009057095.4656778539-7005.46567785387
2356574582979.9786128063-17234.9786128063
2365665371088.05472665-14435.05472665
237158399100976.91927034557422.0807296545
2384645564602.6464493114-18147.6464493114
2397362484546.8305949765-10922.8305949765
2403839560687.6044076462-22292.6044076462
2419189986592.67903123975306.32096876028
242139526148063.794696388-8537.79469638769
2435216477403.6530663477-25239.6530663477
2445156756529.8279275898-4962.82792758977
2457055166488.0241101234062.97588987704
2468485686260.6418295435-1404.64182954346
247102538128724.464242112-26186.464242112
2488667864827.108150421121850.8918495789
2498570979772.52684427945936.4731557206
2503466248975.2018283959-14313.2018283959
251150580124389.1120503126190.8879496898
2529961190438.09227788579172.90772211433
2531934923492.4128549455-4143.41285494554
2549937396890.9468692012482.05313079904
2558623086090.8700720488139.129927951182
2563083737996.6138271277-7159.61382712767
2573170643347.7439195549-11641.7439195549
2588980679374.003638363510431.9963616365
2596208850952.954143749411135.0458562506
2604015148302.4084372912-8151.40843729116
2612763446526.3295616955-18892.3295616955
2627699082183.4917192355-5193.49171923546
2633746035370.26755816732089.73244183271
2645415765389.9233606787-11232.9233606787
2654986260390.0065667844-10528.0065667844
2668433779087.87973875675249.12026124335
2676417583867.7227512946-19692.7227512946
2685938259633.8264019583-251.826401958284
26911930868213.994773958751094.0052260413
2707670271129.25675346145572.74324653855
271103425113548.125720593-10123.1257205927
2727034465692.68597807354651.31402192652
2734341054443.0630438142-11033.0630438142
27410483899791.72878632275046.2712136773
2756221563448.5619855538-1233.56198555377
2766930472046.1840936784-2742.18409367844
2775311744831.45700976528285.5429902348
2781976426526.9555718507-6762.95557185075
2798668085904.5882592582775.411740741789
2808410564698.195540593919406.8044594061
2817794580845.8844461828-2900.88444618275
2828911358795.131425780730317.8685742193
2839100578813.149756271212191.8502437288
2844024838504.52434319581743.4756568042
2856418756555.85137173827631.14862826184
2865085768774.0468232953-17917.0468232953
2875661359936.3320446188-3323.33204461878
2886279273637.5951889849-10845.5951889849
2897253574410.4168826621-1875.41688266206

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 210907 & 163982.73777021 & 46924.2622297904 \tabularnewline
2 & 120982 & 115675.176342698 & 5306.82365730196 \tabularnewline
3 & 176508 & 164162.682721951 & 12345.3172780493 \tabularnewline
4 & 179321 & 234560.155097394 & -55239.1550973944 \tabularnewline
5 & 123185 & 98870.7667554194 & 24314.2332445806 \tabularnewline
6 & 52746 & 59552.1066955642 & -6806.10669556416 \tabularnewline
7 & 385534 & 308375.166068015 & 77158.8339319846 \tabularnewline
8 & 33170 & 45169.9133474761 & -11999.9133474761 \tabularnewline
9 & 101645 & 96791.9185190515 & 4853.08148094851 \tabularnewline
10 & 149061 & 154518.051797243 & -5457.0517972427 \tabularnewline
11 & 165446 & 154180.091195106 & 11265.9088048938 \tabularnewline
12 & 237213 & 200697.879015424 & 36515.1209845759 \tabularnewline
13 & 173326 & 186359.066577795 & -13033.0665777949 \tabularnewline
14 & 133131 & 135227.544407106 & -2096.54440710635 \tabularnewline
15 & 258873 & 230186.882946322 & 28686.1170536784 \tabularnewline
16 & 180083 & 163007.456359634 & 17075.5436403657 \tabularnewline
17 & 324799 & 414267.417362763 & -89468.4173627625 \tabularnewline
18 & 230964 & 191636.436195206 & 39327.5638047942 \tabularnewline
19 & 236785 & 224870.23204155 & 11914.7679584498 \tabularnewline
20 & 135473 & 131389.567443989 & 4083.43255601107 \tabularnewline
21 & 202925 & 213305.765080489 & -10380.7650804892 \tabularnewline
22 & 215147 & 215673.935724947 & -526.935724946723 \tabularnewline
23 & 344297 & 223510.682589114 & 120786.317410886 \tabularnewline
24 & 153935 & 124794.933038632 & 29140.0669613681 \tabularnewline
25 & 132943 & 162577.62778516 & -29634.6277851604 \tabularnewline
26 & 174724 & 269405.211217301 & -94681.2112173008 \tabularnewline
27 & 174415 & 223891.315825069 & -49476.3158250694 \tabularnewline
28 & 225548 & 238313.222949066 & -12765.2229490657 \tabularnewline
29 & 223632 & 196976.410688609 & 26655.5893113907 \tabularnewline
30 & 124817 & 133207.070723297 & -8390.07072329689 \tabularnewline
31 & 221698 & 205008.612366708 & 16689.3876332923 \tabularnewline
32 & 210767 & 193900.002562607 & 16866.9974373931 \tabularnewline
33 & 170266 & 171072.160281501 & -806.160281501152 \tabularnewline
34 & 260561 & 217338.940778976 & 43222.0592210237 \tabularnewline
35 & 84853 & 99868.6692036746 & -15015.6692036746 \tabularnewline
36 & 294424 & 254632.230359468 & 39791.7696405315 \tabularnewline
37 & 101011 & 76794.491728139 & 24216.508271861 \tabularnewline
38 & 215641 & 200098.401262777 & 15542.5987372232 \tabularnewline
39 & 325107 & 268377.652166214 & 56729.3478337861 \tabularnewline
40 & 7176 & 19987.4084837431 & -12811.4084837431 \tabularnewline
41 & 167542 & 163350.859468339 & 4191.14053166128 \tabularnewline
42 & 106408 & 85331.5940988698 & 21076.4059011302 \tabularnewline
43 & 96560 & 125240.094981975 & -28680.0949819747 \tabularnewline
44 & 265769 & 266954.259691973 & -1185.25969197338 \tabularnewline
45 & 269651 & 262074.264936775 & 7576.73506322541 \tabularnewline
46 & 149112 & 147832.426915005 & 1279.57308499498 \tabularnewline
47 & 175824 & 205364.990911496 & -29540.9909114964 \tabularnewline
48 & 152871 & 144905.386437077 & 7965.61356292339 \tabularnewline
49 & 111665 & 124057.119061141 & -12392.1190611414 \tabularnewline
50 & 116408 & 157960.636989764 & -41552.6369897643 \tabularnewline
51 & 362301 & 378498.250399859 & -16197.2503998589 \tabularnewline
52 & 78800 & 92234.8481000568 & -13434.8481000568 \tabularnewline
53 & 183167 & 210954.40590941 & -27787.4059094096 \tabularnewline
54 & 277965 & 323942.882078157 & -45977.8820781565 \tabularnewline
55 & 150629 & 185472.696754915 & -34843.6967549154 \tabularnewline
56 & 168809 & 172695.673537296 & -3886.67353729629 \tabularnewline
57 & 24188 & 42373.6115677951 & -18185.6115677951 \tabularnewline
58 & 329267 & 258177.081376966 & 71089.9186230344 \tabularnewline
59 & 65029 & 73561.8300383718 & -8532.83003837184 \tabularnewline
60 & 101097 & 112063.763809833 & -10966.7638098332 \tabularnewline
61 & 218946 & 225101.27038725 & -6155.27038724987 \tabularnewline
62 & 244052 & 235956.37175893 & 8095.62824106973 \tabularnewline
63 & 341570 & 329859.840410333 & 11710.159589667 \tabularnewline
64 & 103597 & 86753.174346003 & 16843.825653997 \tabularnewline
65 & 233328 & 266883.690360299 & -33555.6903602987 \tabularnewline
66 & 256462 & 231405.36836422 & 25056.6316357801 \tabularnewline
67 & 206161 & 178618.037312125 & 27542.9626878749 \tabularnewline
68 & 311473 & 316200.652716405 & -4727.65271640494 \tabularnewline
69 & 235800 & 239590.948433709 & -3790.94843370908 \tabularnewline
70 & 177939 & 209263.652422954 & -31324.652422954 \tabularnewline
71 & 207176 & 192908.145357312 & 14267.8546426879 \tabularnewline
72 & 196553 & 136686.703494356 & 59866.2965056437 \tabularnewline
73 & 174184 & 157872.829859203 & 16311.170140797 \tabularnewline
74 & 143246 & 168783.682425466 & -25537.6824254661 \tabularnewline
75 & 187559 & 232837.12702111 & -45278.1270211098 \tabularnewline
76 & 187681 & 205616.813453697 & -17935.8134536973 \tabularnewline
77 & 119016 & 156104.741286419 & -37088.7412864188 \tabularnewline
78 & 182192 & 201790.126820206 & -19598.1268202057 \tabularnewline
79 & 73566 & 92078.2576372678 & -18512.2576372678 \tabularnewline
80 & 194979 & 191670.782305413 & 3308.21769458701 \tabularnewline
81 & 167488 & 154529.906550511 & 12958.0934494885 \tabularnewline
82 & 143756 & 180233.760409754 & -36477.7604097535 \tabularnewline
83 & 275541 & 211836.473360494 & 63704.5266395056 \tabularnewline
84 & 243199 & 198389.089757422 & 44809.9102425777 \tabularnewline
85 & 182999 & 173532.948598365 & 9466.05140163512 \tabularnewline
86 & 135649 & 172727.816940745 & -37078.8169407447 \tabularnewline
87 & 152299 & 160988.962723935 & -8689.96272393544 \tabularnewline
88 & 120221 & 145254.228675964 & -25033.2286759637 \tabularnewline
89 & 346485 & 304746.375884944 & 41738.6241150557 \tabularnewline
90 & 145790 & 133772.349168071 & 12017.6508319291 \tabularnewline
91 & 193339 & 171551.517099138 & 21787.4829008624 \tabularnewline
92 & 80953 & 88212.7489549142 & -7259.74895491422 \tabularnewline
93 & 122774 & 154314.185506859 & -31540.1855068594 \tabularnewline
94 & 130585 & 128203.162017008 & 2381.83798299151 \tabularnewline
95 & 112611 & 91366.7662008776 & 21244.2337991224 \tabularnewline
96 & 286468 & 282946.429326739 & 3521.57067326075 \tabularnewline
97 & 241066 & 218761.931900081 & 22304.0680999193 \tabularnewline
98 & 148446 & 278235.328066311 & -129789.328066311 \tabularnewline
99 & 204713 & 197862.642086439 & 6850.35791356141 \tabularnewline
100 & 182079 & 198864.92439948 & -16785.9243994798 \tabularnewline
101 & 140344 & 140580.65380822 & -236.653808220035 \tabularnewline
102 & 220516 & 248736.816930532 & -28220.8169305319 \tabularnewline
103 & 243060 & 194268.403165191 & 48791.5968348094 \tabularnewline
104 & 162765 & 152614.590622359 & 10150.4093776408 \tabularnewline
105 & 182613 & 151792.14183794 & 30820.8581620597 \tabularnewline
106 & 232138 & 203832.329300732 & 28305.6706992684 \tabularnewline
107 & 265318 & 304314.644837416 & -38996.6448374164 \tabularnewline
108 & 85574 & 101838.776214216 & -16264.7762142159 \tabularnewline
109 & 310839 & 276179.93706518 & 34659.0629348202 \tabularnewline
110 & 225060 & 222755.300918411 & 2304.69908158855 \tabularnewline
111 & 232317 & 217722.113317781 & 14594.886682219 \tabularnewline
112 & 144966 & 166990.468893605 & -22024.4688936046 \tabularnewline
113 & 43287 & 62275.6183742042 & -18988.6183742043 \tabularnewline
114 & 155754 & 173629.756520581 & -17875.756520581 \tabularnewline
115 & 164709 & 185424.94632705 & -20715.9463270498 \tabularnewline
116 & 201940 & 217767.332117293 & -15827.3321172926 \tabularnewline
117 & 235454 & 249702.484757252 & -14248.4847572519 \tabularnewline
118 & 220801 & 163421.046442125 & 57379.9535578754 \tabularnewline
119 & 99466 & 103494.72274194 & -4028.72274194019 \tabularnewline
120 & 92661 & 96519.4633308785 & -3858.46333087845 \tabularnewline
121 & 133328 & 132868.708443983 & 459.291556017167 \tabularnewline
122 & 61361 & 91592.4314547938 & -30231.4314547938 \tabularnewline
123 & 125930 & 145576.66557952 & -19646.6655795197 \tabularnewline
124 & 100750 & 163656.201721191 & -62906.2017211907 \tabularnewline
125 & 224549 & 151709.577076825 & 72839.4229231753 \tabularnewline
126 & 82316 & 61364.2621189248 & 20951.7378810752 \tabularnewline
127 & 102010 & 83503.4273945114 & 18506.5726054886 \tabularnewline
128 & 101523 & 118208.356825604 & -16685.3568256041 \tabularnewline
129 & 243511 & 235118.326812563 & 8392.67318743741 \tabularnewline
130 & 22938 & 30741.7465612753 & -7803.74656127535 \tabularnewline
131 & 41566 & 46429.8201382213 & -4863.82013822127 \tabularnewline
132 & 152474 & 193648.774480854 & -41174.7744808542 \tabularnewline
133 & 61857 & 49939.0350924922 & 11917.9649075078 \tabularnewline
134 & 99923 & 156868.407180675 & -56945.4071806745 \tabularnewline
135 & 132487 & 164312.204043632 & -31825.2040436322 \tabularnewline
136 & 317394 & 253079.706953173 & 64314.2930468266 \tabularnewline
137 & 21054 & 29623.689750066 & -8569.689750066 \tabularnewline
138 & 209641 & 167838.02337566 & 41802.9766243405 \tabularnewline
139 & 22648 & 39826.4620935404 & -17178.4620935404 \tabularnewline
140 & 31414 & 44717.0321763598 & -13303.0321763598 \tabularnewline
141 & 46698 & 71549.5235056959 & -24851.5235056959 \tabularnewline
142 & 131698 & 141724.02756251 & -10026.0275625103 \tabularnewline
143 & 91735 & 83046.4854401977 & 8688.51455980231 \tabularnewline
144 & 244749 & 270081.188799415 & -25332.1887994153 \tabularnewline
145 & 184510 & 175614.796452474 & 8895.20354752565 \tabularnewline
146 & 79863 & 94836.0226225602 & -14973.0226225602 \tabularnewline
147 & 128423 & 136143.552621671 & -7720.5526216706 \tabularnewline
148 & 97839 & 113686.930497808 & -15847.9304978081 \tabularnewline
149 & 38214 & 55962.6678538717 & -17748.6678538717 \tabularnewline
150 & 151101 & 155903.369114413 & -4802.36911441332 \tabularnewline
151 & 272458 & 239852.700910428 & 32605.299089572 \tabularnewline
152 & 172494 & 146143.177021249 & 26350.8229787508 \tabularnewline
153 & 108043 & 114358.374298831 & -6315.37429883056 \tabularnewline
154 & 328107 & 295341.468770674 & 32765.5312293263 \tabularnewline
155 & 250579 & 236714.747014507 & 13864.2529854927 \tabularnewline
156 & 351067 & 310946.999701464 & 40120.0002985362 \tabularnewline
157 & 158015 & 127007.056350406 & 31007.9436495944 \tabularnewline
158 & 98866 & 81099.4566953552 & 17766.5433046448 \tabularnewline
159 & 85439 & 109611.768062561 & -24172.7680625609 \tabularnewline
160 & 229242 & 244955.49088587 & -15713.4908858698 \tabularnewline
161 & 351619 & 344702.000433783 & 6916.99956621706 \tabularnewline
162 & 84207 & 99368.4821515401 & -15161.4821515401 \tabularnewline
163 & 120445 & 120723.823339926 & -278.823339926052 \tabularnewline
164 & 324598 & 321772.142937137 & 2825.85706286317 \tabularnewline
165 & 131069 & 160678.586742852 & -29609.5867428521 \tabularnewline
166 & 204271 & 172589.744048171 & 31681.2559518295 \tabularnewline
167 & 165543 & 181907.832316917 & -16364.8323169168 \tabularnewline
168 & 141722 & 138432.230593444 & 3289.76940655603 \tabularnewline
169 & 116048 & 93265.8893813727 & 22782.1106186273 \tabularnewline
170 & 250047 & 150446.948384338 & 99600.051615662 \tabularnewline
171 & 299775 & 306432.322863425 & -6657.32286342458 \tabularnewline
172 & 195838 & 194594.463664057 & 1243.53633594266 \tabularnewline
173 & 173260 & 184528.449428363 & -11268.4494283626 \tabularnewline
174 & 254488 & 248885.050626466 & 5602.94937353361 \tabularnewline
175 & 104389 & 187819.955647817 & -83430.9556478173 \tabularnewline
176 & 136084 & 114652.393107776 & 21431.6068922236 \tabularnewline
177 & 199476 & 224693.922190199 & -25217.9221901994 \tabularnewline
178 & 92499 & 83892.4468293693 & 8606.55317063073 \tabularnewline
179 & 224330 & 229532.410063812 & -5202.41006381211 \tabularnewline
180 & 135781 & 88164.8793573805 & 47616.1206426195 \tabularnewline
181 & 74408 & 94705.478737613 & -20297.478737613 \tabularnewline
182 & 81240 & 136443.764922207 & -55203.7649222073 \tabularnewline
183 & 14688 & 15980.2689400728 & -1292.26894007284 \tabularnewline
184 & 181633 & 168856.480949489 & 12776.5190505105 \tabularnewline
185 & 271856 & 265781.363627955 & 6074.63637204548 \tabularnewline
186 & 7199 & 12300.5934568213 & -5101.59345682133 \tabularnewline
187 & 46660 & 42186.3508750012 & 4473.64912499878 \tabularnewline
188 & 17547 & 10166.9685033697 & 7380.03149663027 \tabularnewline
189 & 133368 & 122976.379579007 & 10391.6204209931 \tabularnewline
190 & 95227 & 105268.705359139 & -10041.7053591395 \tabularnewline
191 & 152601 & 134567.432183984 & 18033.567816016 \tabularnewline
192 & 98146 & 85551.9199042627 & 12594.0800957373 \tabularnewline
193 & 79619 & 97949.5897210663 & -18330.5897210663 \tabularnewline
194 & 59194 & 64676.2236950529 & -5482.22369505293 \tabularnewline
195 & 139942 & 119923.195510747 & 20018.8044892526 \tabularnewline
196 & 118612 & 112282.905522173 & 6329.09447782704 \tabularnewline
197 & 72880 & 79417.020698817 & -6537.02069881704 \tabularnewline
198 & 65475 & 50772.9259680789 & 14702.0740319211 \tabularnewline
199 & 99643 & 111499.940015977 & -11856.9400159775 \tabularnewline
200 & 71965 & 71719.9443482533 & 245.055651746678 \tabularnewline
201 & 77272 & 67010.9557224741 & 10261.0442775259 \tabularnewline
202 & 49289 & 28156.2054876568 & 21132.7945123432 \tabularnewline
203 & 135131 & 116165.017646423 & 18965.9823535768 \tabularnewline
204 & 108446 & 100279.771339111 & 8166.22866088882 \tabularnewline
205 & 89746 & 107882.700750761 & -18136.7007507607 \tabularnewline
206 & 44296 & 53696.4259287559 & -9400.42592875587 \tabularnewline
207 & 77648 & 91273.111410287 & -13625.111410287 \tabularnewline
208 & 181528 & 118010.045362128 & 63517.9546378718 \tabularnewline
209 & 134019 & 99401.0652215427 & 34617.9347784573 \tabularnewline
210 & 124064 & 105964.950419025 & 18099.0495809752 \tabularnewline
211 & 92630 & 80399.7768498041 & 12230.2231501959 \tabularnewline
212 & 121848 & 100762.217725588 & 21085.7822744118 \tabularnewline
213 & 52915 & 56226.9738969664 & -3311.97389696644 \tabularnewline
214 & 81872 & 75397.1014785388 & 6474.89852146121 \tabularnewline
215 & 58981 & 67858.3605416373 & -8877.36054163734 \tabularnewline
216 & 53515 & 62574.9728407235 & -9059.97284072353 \tabularnewline
217 & 60812 & 93334.1744256163 & -32522.1744256163 \tabularnewline
218 & 56375 & 40408.7807815831 & 15966.2192184169 \tabularnewline
219 & 65490 & 57121.0560564032 & 8368.94394359675 \tabularnewline
220 & 80949 & 52473.8484391283 & 28475.1515608717 \tabularnewline
221 & 76302 & 84385.0271714222 & -8083.02717142222 \tabularnewline
222 & 104011 & 110664.097291983 & -6653.09729198303 \tabularnewline
223 & 98104 & 149883.116704324 & -51779.1167043237 \tabularnewline
224 & 67989 & 67350.7586002339 & 638.241399766125 \tabularnewline
225 & 30989 & 38518.593324604 & -7529.59332460396 \tabularnewline
226 & 135458 & 133498.99838564 & 1959.00161435961 \tabularnewline
227 & 73504 & 65139.8573621699 & 8364.14263783011 \tabularnewline
228 & 63123 & 81273.3652338292 & -18150.3652338292 \tabularnewline
229 & 61254 & 78908.7883714141 & -17654.7883714141 \tabularnewline
230 & 74914 & 115728.96797325 & -40814.9679732502 \tabularnewline
231 & 31774 & 50826.7247951683 & -19052.7247951683 \tabularnewline
232 & 81437 & 96093.7856585 & -14656.7856585 \tabularnewline
233 & 87186 & 114137.577841397 & -26951.577841397 \tabularnewline
234 & 50090 & 57095.4656778539 & -7005.46567785387 \tabularnewline
235 & 65745 & 82979.9786128063 & -17234.9786128063 \tabularnewline
236 & 56653 & 71088.05472665 & -14435.05472665 \tabularnewline
237 & 158399 & 100976.919270345 & 57422.0807296545 \tabularnewline
238 & 46455 & 64602.6464493114 & -18147.6464493114 \tabularnewline
239 & 73624 & 84546.8305949765 & -10922.8305949765 \tabularnewline
240 & 38395 & 60687.6044076462 & -22292.6044076462 \tabularnewline
241 & 91899 & 86592.6790312397 & 5306.32096876028 \tabularnewline
242 & 139526 & 148063.794696388 & -8537.79469638769 \tabularnewline
243 & 52164 & 77403.6530663477 & -25239.6530663477 \tabularnewline
244 & 51567 & 56529.8279275898 & -4962.82792758977 \tabularnewline
245 & 70551 & 66488.024110123 & 4062.97588987704 \tabularnewline
246 & 84856 & 86260.6418295435 & -1404.64182954346 \tabularnewline
247 & 102538 & 128724.464242112 & -26186.464242112 \tabularnewline
248 & 86678 & 64827.1081504211 & 21850.8918495789 \tabularnewline
249 & 85709 & 79772.5268442794 & 5936.4731557206 \tabularnewline
250 & 34662 & 48975.2018283959 & -14313.2018283959 \tabularnewline
251 & 150580 & 124389.11205031 & 26190.8879496898 \tabularnewline
252 & 99611 & 90438.0922778857 & 9172.90772211433 \tabularnewline
253 & 19349 & 23492.4128549455 & -4143.41285494554 \tabularnewline
254 & 99373 & 96890.946869201 & 2482.05313079904 \tabularnewline
255 & 86230 & 86090.8700720488 & 139.129927951182 \tabularnewline
256 & 30837 & 37996.6138271277 & -7159.61382712767 \tabularnewline
257 & 31706 & 43347.7439195549 & -11641.7439195549 \tabularnewline
258 & 89806 & 79374.0036383635 & 10431.9963616365 \tabularnewline
259 & 62088 & 50952.9541437494 & 11135.0458562506 \tabularnewline
260 & 40151 & 48302.4084372912 & -8151.40843729116 \tabularnewline
261 & 27634 & 46526.3295616955 & -18892.3295616955 \tabularnewline
262 & 76990 & 82183.4917192355 & -5193.49171923546 \tabularnewline
263 & 37460 & 35370.2675581673 & 2089.73244183271 \tabularnewline
264 & 54157 & 65389.9233606787 & -11232.9233606787 \tabularnewline
265 & 49862 & 60390.0065667844 & -10528.0065667844 \tabularnewline
266 & 84337 & 79087.8797387567 & 5249.12026124335 \tabularnewline
267 & 64175 & 83867.7227512946 & -19692.7227512946 \tabularnewline
268 & 59382 & 59633.8264019583 & -251.826401958284 \tabularnewline
269 & 119308 & 68213.9947739587 & 51094.0052260413 \tabularnewline
270 & 76702 & 71129.2567534614 & 5572.74324653855 \tabularnewline
271 & 103425 & 113548.125720593 & -10123.1257205927 \tabularnewline
272 & 70344 & 65692.6859780735 & 4651.31402192652 \tabularnewline
273 & 43410 & 54443.0630438142 & -11033.0630438142 \tabularnewline
274 & 104838 & 99791.7287863227 & 5046.2712136773 \tabularnewline
275 & 62215 & 63448.5619855538 & -1233.56198555377 \tabularnewline
276 & 69304 & 72046.1840936784 & -2742.18409367844 \tabularnewline
277 & 53117 & 44831.4570097652 & 8285.5429902348 \tabularnewline
278 & 19764 & 26526.9555718507 & -6762.95557185075 \tabularnewline
279 & 86680 & 85904.5882592582 & 775.411740741789 \tabularnewline
280 & 84105 & 64698.1955405939 & 19406.8044594061 \tabularnewline
281 & 77945 & 80845.8844461828 & -2900.88444618275 \tabularnewline
282 & 89113 & 58795.1314257807 & 30317.8685742193 \tabularnewline
283 & 91005 & 78813.1497562712 & 12191.8502437288 \tabularnewline
284 & 40248 & 38504.5243431958 & 1743.4756568042 \tabularnewline
285 & 64187 & 56555.8513717382 & 7631.14862826184 \tabularnewline
286 & 50857 & 68774.0468232953 & -17917.0468232953 \tabularnewline
287 & 56613 & 59936.3320446188 & -3323.33204461878 \tabularnewline
288 & 62792 & 73637.5951889849 & -10845.5951889849 \tabularnewline
289 & 72535 & 74410.4168826621 & -1875.41688266206 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189751&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]210907[/C][C]163982.73777021[/C][C]46924.2622297904[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]115675.176342698[/C][C]5306.82365730196[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]164162.682721951[/C][C]12345.3172780493[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]234560.155097394[/C][C]-55239.1550973944[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]98870.7667554194[/C][C]24314.2332445806[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]59552.1066955642[/C][C]-6806.10669556416[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]308375.166068015[/C][C]77158.8339319846[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]45169.9133474761[/C][C]-11999.9133474761[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]96791.9185190515[/C][C]4853.08148094851[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]154518.051797243[/C][C]-5457.0517972427[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]154180.091195106[/C][C]11265.9088048938[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]200697.879015424[/C][C]36515.1209845759[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]186359.066577795[/C][C]-13033.0665777949[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]135227.544407106[/C][C]-2096.54440710635[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]230186.882946322[/C][C]28686.1170536784[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]163007.456359634[/C][C]17075.5436403657[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]414267.417362763[/C][C]-89468.4173627625[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]191636.436195206[/C][C]39327.5638047942[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]224870.23204155[/C][C]11914.7679584498[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]131389.567443989[/C][C]4083.43255601107[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]213305.765080489[/C][C]-10380.7650804892[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]215673.935724947[/C][C]-526.935724946723[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]223510.682589114[/C][C]120786.317410886[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]124794.933038632[/C][C]29140.0669613681[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]162577.62778516[/C][C]-29634.6277851604[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]269405.211217301[/C][C]-94681.2112173008[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]223891.315825069[/C][C]-49476.3158250694[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]238313.222949066[/C][C]-12765.2229490657[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]196976.410688609[/C][C]26655.5893113907[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]133207.070723297[/C][C]-8390.07072329689[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]205008.612366708[/C][C]16689.3876332923[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]193900.002562607[/C][C]16866.9974373931[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]171072.160281501[/C][C]-806.160281501152[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]217338.940778976[/C][C]43222.0592210237[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]99868.6692036746[/C][C]-15015.6692036746[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]254632.230359468[/C][C]39791.7696405315[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]76794.491728139[/C][C]24216.508271861[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]200098.401262777[/C][C]15542.5987372232[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]268377.652166214[/C][C]56729.3478337861[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]19987.4084837431[/C][C]-12811.4084837431[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]163350.859468339[/C][C]4191.14053166128[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]85331.5940988698[/C][C]21076.4059011302[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]125240.094981975[/C][C]-28680.0949819747[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]266954.259691973[/C][C]-1185.25969197338[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]262074.264936775[/C][C]7576.73506322541[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]147832.426915005[/C][C]1279.57308499498[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]205364.990911496[/C][C]-29540.9909114964[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]144905.386437077[/C][C]7965.61356292339[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]124057.119061141[/C][C]-12392.1190611414[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]157960.636989764[/C][C]-41552.6369897643[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]378498.250399859[/C][C]-16197.2503998589[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]92234.8481000568[/C][C]-13434.8481000568[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]210954.40590941[/C][C]-27787.4059094096[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]323942.882078157[/C][C]-45977.8820781565[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]185472.696754915[/C][C]-34843.6967549154[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]172695.673537296[/C][C]-3886.67353729629[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]42373.6115677951[/C][C]-18185.6115677951[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]258177.081376966[/C][C]71089.9186230344[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]73561.8300383718[/C][C]-8532.83003837184[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]112063.763809833[/C][C]-10966.7638098332[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]225101.27038725[/C][C]-6155.27038724987[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]235956.37175893[/C][C]8095.62824106973[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]329859.840410333[/C][C]11710.159589667[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]86753.174346003[/C][C]16843.825653997[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]266883.690360299[/C][C]-33555.6903602987[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]231405.36836422[/C][C]25056.6316357801[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]178618.037312125[/C][C]27542.9626878749[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]316200.652716405[/C][C]-4727.65271640494[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]239590.948433709[/C][C]-3790.94843370908[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]209263.652422954[/C][C]-31324.652422954[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]192908.145357312[/C][C]14267.8546426879[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]136686.703494356[/C][C]59866.2965056437[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]157872.829859203[/C][C]16311.170140797[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]168783.682425466[/C][C]-25537.6824254661[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]232837.12702111[/C][C]-45278.1270211098[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]205616.813453697[/C][C]-17935.8134536973[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]156104.741286419[/C][C]-37088.7412864188[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]201790.126820206[/C][C]-19598.1268202057[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]92078.2576372678[/C][C]-18512.2576372678[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]191670.782305413[/C][C]3308.21769458701[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]154529.906550511[/C][C]12958.0934494885[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]180233.760409754[/C][C]-36477.7604097535[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]211836.473360494[/C][C]63704.5266395056[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]198389.089757422[/C][C]44809.9102425777[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]173532.948598365[/C][C]9466.05140163512[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]172727.816940745[/C][C]-37078.8169407447[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]160988.962723935[/C][C]-8689.96272393544[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]145254.228675964[/C][C]-25033.2286759637[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]304746.375884944[/C][C]41738.6241150557[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]133772.349168071[/C][C]12017.6508319291[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]171551.517099138[/C][C]21787.4829008624[/C][/ROW]
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[ROW][C]93[/C][C]122774[/C][C]154314.185506859[/C][C]-31540.1855068594[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]128203.162017008[/C][C]2381.83798299151[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]91366.7662008776[/C][C]21244.2337991224[/C][/ROW]
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[ROW][C]97[/C][C]241066[/C][C]218761.931900081[/C][C]22304.0680999193[/C][/ROW]
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[ROW][C]99[/C][C]204713[/C][C]197862.642086439[/C][C]6850.35791356141[/C][/ROW]
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[ROW][C]102[/C][C]220516[/C][C]248736.816930532[/C][C]-28220.8169305319[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]194268.403165191[/C][C]48791.5968348094[/C][/ROW]
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[ROW][C]108[/C][C]85574[/C][C]101838.776214216[/C][C]-16264.7762142159[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]276179.93706518[/C][C]34659.0629348202[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]222755.300918411[/C][C]2304.69908158855[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]217722.113317781[/C][C]14594.886682219[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]166990.468893605[/C][C]-22024.4688936046[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]62275.6183742042[/C][C]-18988.6183742043[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]173629.756520581[/C][C]-17875.756520581[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]185424.94632705[/C][C]-20715.9463270498[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]217767.332117293[/C][C]-15827.3321172926[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]249702.484757252[/C][C]-14248.4847572519[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]163421.046442125[/C][C]57379.9535578754[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]103494.72274194[/C][C]-4028.72274194019[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]96519.4633308785[/C][C]-3858.46333087845[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]132868.708443983[/C][C]459.291556017167[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]91592.4314547938[/C][C]-30231.4314547938[/C][/ROW]
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[ROW][C]124[/C][C]100750[/C][C]163656.201721191[/C][C]-62906.2017211907[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]151709.577076825[/C][C]72839.4229231753[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]61364.2621189248[/C][C]20951.7378810752[/C][/ROW]
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[ROW][C]129[/C][C]243511[/C][C]235118.326812563[/C][C]8392.67318743741[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]30741.7465612753[/C][C]-7803.74656127535[/C][/ROW]
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[ROW][C]132[/C][C]152474[/C][C]193648.774480854[/C][C]-41174.7744808542[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]49939.0350924922[/C][C]11917.9649075078[/C][/ROW]
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[ROW][C]135[/C][C]132487[/C][C]164312.204043632[/C][C]-31825.2040436322[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]253079.706953173[/C][C]64314.2930468266[/C][/ROW]
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[ROW][C]138[/C][C]209641[/C][C]167838.02337566[/C][C]41802.9766243405[/C][/ROW]
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[ROW][C]141[/C][C]46698[/C][C]71549.5235056959[/C][C]-24851.5235056959[/C][/ROW]
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[ROW][C]143[/C][C]91735[/C][C]83046.4854401977[/C][C]8688.51455980231[/C][/ROW]
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[ROW][C]148[/C][C]97839[/C][C]113686.930497808[/C][C]-15847.9304978081[/C][/ROW]
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[ROW][C]154[/C][C]328107[/C][C]295341.468770674[/C][C]32765.5312293263[/C][/ROW]
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[ROW][C]157[/C][C]158015[/C][C]127007.056350406[/C][C]31007.9436495944[/C][/ROW]
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[ROW][C]226[/C][C]135458[/C][C]133498.99838564[/C][C]1959.00161435961[/C][/ROW]
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[ROW][C]229[/C][C]61254[/C][C]78908.7883714141[/C][C]-17654.7883714141[/C][/ROW]
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[ROW][C]232[/C][C]81437[/C][C]96093.7856585[/C][C]-14656.7856585[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]114137.577841397[/C][C]-26951.577841397[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]57095.4656778539[/C][C]-7005.46567785387[/C][/ROW]
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[ROW][C]236[/C][C]56653[/C][C]71088.05472665[/C][C]-14435.05472665[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]100976.919270345[/C][C]57422.0807296545[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]64602.6464493114[/C][C]-18147.6464493114[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]84546.8305949765[/C][C]-10922.8305949765[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]60687.6044076462[/C][C]-22292.6044076462[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]86592.6790312397[/C][C]5306.32096876028[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]148063.794696388[/C][C]-8537.79469638769[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]77403.6530663477[/C][C]-25239.6530663477[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]56529.8279275898[/C][C]-4962.82792758977[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]66488.024110123[/C][C]4062.97588987704[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]86260.6418295435[/C][C]-1404.64182954346[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]128724.464242112[/C][C]-26186.464242112[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]64827.1081504211[/C][C]21850.8918495789[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]79772.5268442794[/C][C]5936.4731557206[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]48975.2018283959[/C][C]-14313.2018283959[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]124389.11205031[/C][C]26190.8879496898[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]90438.0922778857[/C][C]9172.90772211433[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]23492.4128549455[/C][C]-4143.41285494554[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]96890.946869201[/C][C]2482.05313079904[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]86090.8700720488[/C][C]139.129927951182[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]37996.6138271277[/C][C]-7159.61382712767[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]43347.7439195549[/C][C]-11641.7439195549[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]79374.0036383635[/C][C]10431.9963616365[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]50952.9541437494[/C][C]11135.0458562506[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]48302.4084372912[/C][C]-8151.40843729116[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]46526.3295616955[/C][C]-18892.3295616955[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]82183.4917192355[/C][C]-5193.49171923546[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]35370.2675581673[/C][C]2089.73244183271[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]65389.9233606787[/C][C]-11232.9233606787[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]60390.0065667844[/C][C]-10528.0065667844[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]79087.8797387567[/C][C]5249.12026124335[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]83867.7227512946[/C][C]-19692.7227512946[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]59633.8264019583[/C][C]-251.826401958284[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]68213.9947739587[/C][C]51094.0052260413[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]71129.2567534614[/C][C]5572.74324653855[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]113548.125720593[/C][C]-10123.1257205927[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]65692.6859780735[/C][C]4651.31402192652[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]54443.0630438142[/C][C]-11033.0630438142[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]99791.7287863227[/C][C]5046.2712136773[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]63448.5619855538[/C][C]-1233.56198555377[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]72046.1840936784[/C][C]-2742.18409367844[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]44831.4570097652[/C][C]8285.5429902348[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]26526.9555718507[/C][C]-6762.95557185075[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]85904.5882592582[/C][C]775.411740741789[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]64698.1955405939[/C][C]19406.8044594061[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]80845.8844461828[/C][C]-2900.88444618275[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]58795.1314257807[/C][C]30317.8685742193[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]78813.1497562712[/C][C]12191.8502437288[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]38504.5243431958[/C][C]1743.4756568042[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]56555.8513717382[/C][C]7631.14862826184[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]68774.0468232953[/C][C]-17917.0468232953[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]59936.3320446188[/C][C]-3323.33204461878[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]73637.5951889849[/C][C]-10845.5951889849[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]74410.4168826621[/C][C]-1875.41688266206[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189751&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189751&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 IndexActualsInterpolationForecastResidualsPrediction Error
1210907163982.7377702146924.2622297904
2120982115675.1763426985306.82365730196
3176508164162.68272195112345.3172780493
4179321234560.155097394-55239.1550973944
512318598870.766755419424314.2332445806
65274659552.1066955642-6806.10669556416
7385534308375.16606801577158.8339319846
83317045169.9133474761-11999.9133474761
910164596791.91851905154853.08148094851
10149061154518.051797243-5457.0517972427
11165446154180.09119510611265.9088048938
12237213200697.87901542436515.1209845759
13173326186359.066577795-13033.0665777949
14133131135227.544407106-2096.54440710635
15258873230186.88294632228686.1170536784
16180083163007.45635963417075.5436403657
17324799414267.417362763-89468.4173627625
18230964191636.43619520639327.5638047942
19236785224870.2320415511914.7679584498
20135473131389.5674439894083.43255601107
21202925213305.765080489-10380.7650804892
22215147215673.935724947-526.935724946723
23344297223510.682589114120786.317410886
24153935124794.93303863229140.0669613681
25132943162577.62778516-29634.6277851604
26174724269405.211217301-94681.2112173008
27174415223891.315825069-49476.3158250694
28225548238313.222949066-12765.2229490657
29223632196976.41068860926655.5893113907
30124817133207.070723297-8390.07072329689
31221698205008.61236670816689.3876332923
32210767193900.00256260716866.9974373931
33170266171072.160281501-806.160281501152
34260561217338.94077897643222.0592210237
358485399868.6692036746-15015.6692036746
36294424254632.23035946839791.7696405315
3710101176794.49172813924216.508271861
38215641200098.40126277715542.5987372232
39325107268377.65216621456729.3478337861
40717619987.4084837431-12811.4084837431
41167542163350.8594683394191.14053166128
4210640885331.594098869821076.4059011302
4396560125240.094981975-28680.0949819747
44265769266954.259691973-1185.25969197338
45269651262074.2649367757576.73506322541
46149112147832.4269150051279.57308499498
47175824205364.990911496-29540.9909114964
48152871144905.3864370777965.61356292339
49111665124057.119061141-12392.1190611414
50116408157960.636989764-41552.6369897643
51362301378498.250399859-16197.2503998589
527880092234.8481000568-13434.8481000568
53183167210954.40590941-27787.4059094096
54277965323942.882078157-45977.8820781565
55150629185472.696754915-34843.6967549154
56168809172695.673537296-3886.67353729629
572418842373.6115677951-18185.6115677951
58329267258177.08137696671089.9186230344
596502973561.8300383718-8532.83003837184
60101097112063.763809833-10966.7638098332
61218946225101.27038725-6155.27038724987
62244052235956.371758938095.62824106973
63341570329859.84041033311710.159589667
6410359786753.17434600316843.825653997
65233328266883.690360299-33555.6903602987
66256462231405.3683642225056.6316357801
67206161178618.03731212527542.9626878749
68311473316200.652716405-4727.65271640494
69235800239590.948433709-3790.94843370908
70177939209263.652422954-31324.652422954
71207176192908.14535731214267.8546426879
72196553136686.70349435659866.2965056437
73174184157872.82985920316311.170140797
74143246168783.682425466-25537.6824254661
75187559232837.12702111-45278.1270211098
76187681205616.813453697-17935.8134536973
77119016156104.741286419-37088.7412864188
78182192201790.126820206-19598.1268202057
797356692078.2576372678-18512.2576372678
80194979191670.7823054133308.21769458701
81167488154529.90655051112958.0934494885
82143756180233.760409754-36477.7604097535
83275541211836.47336049463704.5266395056
84243199198389.08975742244809.9102425777
85182999173532.9485983659466.05140163512
86135649172727.816940745-37078.8169407447
87152299160988.962723935-8689.96272393544
88120221145254.228675964-25033.2286759637
89346485304746.37588494441738.6241150557
90145790133772.34916807112017.6508319291
91193339171551.51709913821787.4829008624
928095388212.7489549142-7259.74895491422
93122774154314.185506859-31540.1855068594
94130585128203.1620170082381.83798299151
9511261191366.766200877621244.2337991224
96286468282946.4293267393521.57067326075
97241066218761.93190008122304.0680999193
98148446278235.328066311-129789.328066311
99204713197862.6420864396850.35791356141
100182079198864.92439948-16785.9243994798
101140344140580.65380822-236.653808220035
102220516248736.816930532-28220.8169305319
103243060194268.40316519148791.5968348094
104162765152614.59062235910150.4093776408
105182613151792.1418379430820.8581620597
106232138203832.32930073228305.6706992684
107265318304314.644837416-38996.6448374164
10885574101838.776214216-16264.7762142159
109310839276179.9370651834659.0629348202
110225060222755.3009184112304.69908158855
111232317217722.11331778114594.886682219
112144966166990.468893605-22024.4688936046
1134328762275.6183742042-18988.6183742043
114155754173629.756520581-17875.756520581
115164709185424.94632705-20715.9463270498
116201940217767.332117293-15827.3321172926
117235454249702.484757252-14248.4847572519
118220801163421.04644212557379.9535578754
11999466103494.72274194-4028.72274194019
1209266196519.4633308785-3858.46333087845
121133328132868.708443983459.291556017167
1226136191592.4314547938-30231.4314547938
123125930145576.66557952-19646.6655795197
124100750163656.201721191-62906.2017211907
125224549151709.57707682572839.4229231753
1268231661364.262118924820951.7378810752
12710201083503.427394511418506.5726054886
128101523118208.356825604-16685.3568256041
129243511235118.3268125638392.67318743741
1302293830741.7465612753-7803.74656127535
1314156646429.8201382213-4863.82013822127
132152474193648.774480854-41174.7744808542
1336185749939.035092492211917.9649075078
13499923156868.407180675-56945.4071806745
135132487164312.204043632-31825.2040436322
136317394253079.70695317364314.2930468266
1372105429623.689750066-8569.689750066
138209641167838.0233756641802.9766243405
1392264839826.4620935404-17178.4620935404
1403141444717.0321763598-13303.0321763598
1414669871549.5235056959-24851.5235056959
142131698141724.02756251-10026.0275625103
1439173583046.48544019778688.51455980231
144244749270081.188799415-25332.1887994153
145184510175614.7964524748895.20354752565
1467986394836.0226225602-14973.0226225602
147128423136143.552621671-7720.5526216706
14897839113686.930497808-15847.9304978081
1493821455962.6678538717-17748.6678538717
150151101155903.369114413-4802.36911441332
151272458239852.70091042832605.299089572
152172494146143.17702124926350.8229787508
153108043114358.374298831-6315.37429883056
154328107295341.46877067432765.5312293263
155250579236714.74701450713864.2529854927
156351067310946.99970146440120.0002985362
157158015127007.05635040631007.9436495944
1589886681099.456695355217766.5433046448
15985439109611.768062561-24172.7680625609
160229242244955.49088587-15713.4908858698
161351619344702.0004337836916.99956621706
1628420799368.4821515401-15161.4821515401
163120445120723.823339926-278.823339926052
164324598321772.1429371372825.85706286317
165131069160678.586742852-29609.5867428521
166204271172589.74404817131681.2559518295
167165543181907.832316917-16364.8323169168
168141722138432.2305934443289.76940655603
16911604893265.889381372722782.1106186273
170250047150446.94838433899600.051615662
171299775306432.322863425-6657.32286342458
172195838194594.4636640571243.53633594266
173173260184528.449428363-11268.4494283626
174254488248885.0506264665602.94937353361
175104389187819.955647817-83430.9556478173
176136084114652.39310777621431.6068922236
177199476224693.922190199-25217.9221901994
1789249983892.44682936938606.55317063073
179224330229532.410063812-5202.41006381211
18013578188164.879357380547616.1206426195
1817440894705.478737613-20297.478737613
18281240136443.764922207-55203.7649222073
1831468815980.2689400728-1292.26894007284
184181633168856.48094948912776.5190505105
185271856265781.3636279556074.63637204548
186719912300.5934568213-5101.59345682133
1874666042186.35087500124473.64912499878
1881754710166.96850336977380.03149663027
189133368122976.37957900710391.6204209931
19095227105268.705359139-10041.7053591395
191152601134567.43218398418033.567816016
1929814685551.919904262712594.0800957373
1937961997949.5897210663-18330.5897210663
1945919464676.2236950529-5482.22369505293
195139942119923.19551074720018.8044892526
196118612112282.9055221736329.09447782704
1977288079417.020698817-6537.02069881704
1986547550772.925968078914702.0740319211
19999643111499.940015977-11856.9400159775
2007196571719.9443482533245.055651746678
2017727267010.955722474110261.0442775259
2024928928156.205487656821132.7945123432
203135131116165.01764642318965.9823535768
204108446100279.7713391118166.22866088882
20589746107882.700750761-18136.7007507607
2064429653696.4259287559-9400.42592875587
2077764891273.111410287-13625.111410287
208181528118010.04536212863517.9546378718
20913401999401.065221542734617.9347784573
210124064105964.95041902518099.0495809752
2119263080399.776849804112230.2231501959
212121848100762.21772558821085.7822744118
2135291556226.9738969664-3311.97389696644
2148187275397.10147853886474.89852146121
2155898167858.3605416373-8877.36054163734
2165351562574.9728407235-9059.97284072353
2176081293334.1744256163-32522.1744256163
2185637540408.780781583115966.2192184169
2196549057121.05605640328368.94394359675
2208094952473.848439128328475.1515608717
2217630284385.0271714222-8083.02717142222
222104011110664.097291983-6653.09729198303
22398104149883.116704324-51779.1167043237
2246798967350.7586002339638.241399766125
2253098938518.593324604-7529.59332460396
226135458133498.998385641959.00161435961
2277350465139.85736216998364.14263783011
2286312381273.3652338292-18150.3652338292
2296125478908.7883714141-17654.7883714141
23074914115728.96797325-40814.9679732502
2313177450826.7247951683-19052.7247951683
2328143796093.7856585-14656.7856585
23387186114137.577841397-26951.577841397
2345009057095.4656778539-7005.46567785387
2356574582979.9786128063-17234.9786128063
2365665371088.05472665-14435.05472665
237158399100976.91927034557422.0807296545
2384645564602.6464493114-18147.6464493114
2397362484546.8305949765-10922.8305949765
2403839560687.6044076462-22292.6044076462
2419189986592.67903123975306.32096876028
242139526148063.794696388-8537.79469638769
2435216477403.6530663477-25239.6530663477
2445156756529.8279275898-4962.82792758977
2457055166488.0241101234062.97588987704
2468485686260.6418295435-1404.64182954346
247102538128724.464242112-26186.464242112
2488667864827.108150421121850.8918495789
2498570979772.52684427945936.4731557206
2503466248975.2018283959-14313.2018283959
251150580124389.1120503126190.8879496898
2529961190438.09227788579172.90772211433
2531934923492.4128549455-4143.41285494554
2549937396890.9468692012482.05313079904
2558623086090.8700720488139.129927951182
2563083737996.6138271277-7159.61382712767
2573170643347.7439195549-11641.7439195549
2588980679374.003638363510431.9963616365
2596208850952.954143749411135.0458562506
2604015148302.4084372912-8151.40843729116
2612763446526.3295616955-18892.3295616955
2627699082183.4917192355-5193.49171923546
2633746035370.26755816732089.73244183271
2645415765389.9233606787-11232.9233606787
2654986260390.0065667844-10528.0065667844
2668433779087.87973875675249.12026124335
2676417583867.7227512946-19692.7227512946
2685938259633.8264019583-251.826401958284
26911930868213.994773958751094.0052260413
2707670271129.25675346145572.74324653855
271103425113548.125720593-10123.1257205927
2727034465692.68597807354651.31402192652
2734341054443.0630438142-11033.0630438142
27410483899791.72878632275046.2712136773
2756221563448.5619855538-1233.56198555377
2766930472046.1840936784-2742.18409367844
2775311744831.45700976528285.5429902348
2781976426526.9555718507-6762.95557185075
2798668085904.5882592582775.411740741789
2808410564698.195540593919406.8044594061
2817794580845.8844461828-2900.88444618275
2828911358795.131425780730317.8685742193
2839100578813.149756271212191.8502437288
2844024838504.52434319581743.4756568042
2856418756555.85137173827631.14862826184
2865085768774.0468232953-17917.0468232953
2875661359936.3320446188-3323.33204461878
2886279273637.5951889849-10845.5951889849
2897253574410.4168826621-1875.41688266206







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.9996632951753340.0006734096493321170.000336704824666058
180.9990906846609640.001818630678071410.000909315339035703
190.9991685890210670.00166282195786630.000831410978933148
200.9985971231940950.002805753611810860.00140287680590543
210.9979875002294550.004024999541090140.00201249977054507
220.9959980568612450.008003886277510450.00400194313875523
230.9999763827439184.72345121640565e-052.36172560820282e-05
240.9999527071484479.45857031053074e-054.72928515526537e-05
250.9999132725864460.0001734548271072758.67274135536374e-05
260.9999985144350342.97112993153623e-061.48556496576812e-06
270.999998581513972.83697206076706e-061.41848603038353e-06
280.9999970281940185.94361196340831e-062.97180598170415e-06
290.9999971583704555.68325908973824e-062.84162954486912e-06
300.9999947930008481.04139983032754e-055.20699915163768e-06
310.9999904890151141.90219697712055e-059.51098488560277e-06
320.9999854615830092.90768339810251e-051.45384169905125e-05
330.9999733390279995.33219440018882e-052.66609720009441e-05
340.9999906712295431.86575409145969e-059.32877045729843e-06
350.9999864710656452.70578687090647e-051.35289343545323e-05
360.9999873885775712.52228448582477e-051.26114224291239e-05
370.9999786365221394.27269557212233e-052.13634778606117e-05
380.9999635892028517.2821594298403e-053.64107971492015e-05
390.9999895969814382.08060371241459e-051.0403018562073e-05
400.9999819336738643.6132652271969e-051.80663261359845e-05
410.9999691714552536.16570894934211e-053.08285447467105e-05
420.9999534043417549.31913164918993e-054.65956582459497e-05
430.9999295756734390.0001408486531224477.04243265612233e-05
440.9999059415021580.0001881169956836579.40584978418285e-05
450.999859379585560.0002812408288805830.000140620414440291
460.9997803400652080.0004393198695843660.000219659934792183
470.9996897216267190.0006205567465616470.000310278373280824
480.9995504531777760.0008990936444483620.000449546822224181
490.999447793912670.00110441217466080.000552206087330398
500.9997985988953680.0004028022092633670.000201401104631683
510.9997306362633590.000538727473281980.00026936373664099
520.9996368855346190.0007262289307613770.000363114465380688
530.9995951607118950.0008096785762099720.000404839288104986
540.999746514370480.0005069712590400930.000253485629520047
550.9998058204948190.0003883590103625840.000194179505181292
560.9997239831394820.0005520337210357310.000276016860517865
570.9997717952996040.0004564094007920370.000228204700396018
580.9999533116761969.33766476068911e-054.66883238034455e-05
590.9999335531686970.000132893662605636.64468313028151e-05
600.9999165123904760.0001669752190484828.34876095242411e-05
610.9998782812817060.000243437436587220.00012171871829361
620.9998256445549650.0003487108900693890.000174355445034695
630.9997410846567870.0005178306864253560.000258915343212678
640.9996319352376480.0007361295247033680.000368064762351684
650.9996982012801220.0006035974397552480.000301798719877624
660.9996229322149550.0007541355700899320.000377067785044966
670.9995766803299380.0008466393401235420.000423319670061771
680.9993977817726120.001204436454776790.000602218227388395
690.9991788922595070.001642215480985920.000821107740492958
700.9991165087065830.001766982586833640.00088349129341682
710.9988777599295910.002244480140817020.00112224007040851
720.9995604339325130.0008791321349737960.000439566067486898
730.9994210376396680.001157924720664660.000578962360332331
740.9994402892347740.001119421530451780.00055971076522589
750.9996219703270830.0007560593458330730.000378029672916536
760.9995558289301930.0008883421396137190.000444171069806859
770.9996593712989120.0006812574021765320.000340628701088266
780.9995616201587970.000876759682405430.000438379841202715
790.9994612738698760.001077452260247140.000538726130123568
800.9992512759028540.001497448194291190.000748724097145596
810.9990076477472320.00198470450553550.000992352252767751
820.9991554008562520.001689198287496280.00084459914374814
830.9997452790105420.0005094419789169360.000254720989458468
840.9998319481690750.0003361036618497180.000168051830924859
850.9997732673406820.0004534653186353920.000226732659317696
860.9998112908087160.0003774183825683230.000188709191284161
870.9997419047985830.0005161904028335960.000258095201416798
880.9997176145951780.0005647708096436670.000282385404821833
890.9997942822978460.0004114354043079580.000205717702153979
900.9997242953017360.000551409396528660.00027570469826433
910.999644555989120.0007108880217591220.000355444010879561
920.9995218561303560.0009562877392884390.00047814386964422
930.9995573630713420.0008852738573152420.000442636928657621
940.9993954021734540.001209195653092180.000604597826546091
950.9993392065418990.001321586916201950.000660793458100977
960.9990953336496420.00180933270071560.000904666350357799
970.9988968971711640.002206205657672240.00110310282883612
980.9999987694379642.4611240723122e-061.2305620361561e-06
990.9999981121190433.77576191317329e-061.88788095658665e-06
1000.9999973958127835.20837443416709e-062.60418721708354e-06
1010.9999960146407967.97071840891068e-063.98535920445534e-06
1020.9999963760586797.24788264212219e-063.62394132106109e-06
1030.9999981721681563.65566368890163e-061.82783184445082e-06
1040.9999973334400295.33311994272448e-062.66655997136224e-06
1050.9999974658409515.06831809729754e-062.53415904864877e-06
1060.9999975303030774.93939384542655e-062.46969692271327e-06
1070.9999980829325653.8341348702023e-061.91706743510115e-06
1080.9999973478239555.30435208922705e-062.65217604461352e-06
1090.9999978629439424.27411211649472e-062.13705605824736e-06
1100.9999968303899886.33922002312514e-063.16961001156257e-06
1110.9999956929020678.61419586632968e-064.30709793316484e-06
1120.9999949671151521.00657696959866e-055.03288484799332e-06
1130.99999363185881.27362824002945e-056.36814120014726e-06
1140.9999917959077391.64081845223524e-058.2040922611762e-06
1150.9999897566117352.04867765308867e-051.02433882654434e-05
1160.9999871830246332.56339507335772e-051.28169753667886e-05
1170.9999825134705023.49730589958843e-051.74865294979422e-05
1180.9999905419447891.89161104220677e-059.45805521103383e-06
1190.9999861507943922.76984112164055e-051.38492056082027e-05
1200.9999799451597144.01096805711936e-052.00548402855968e-05
1210.9999717726183315.64547633388364e-052.82273816694182e-05
1220.9999706227054875.87545890251292e-052.93772945125646e-05
1230.999981360376073.72792478594489e-051.86396239297244e-05
1240.9999957408018788.51839624460107e-064.25919812230053e-06
1250.9999996327886187.3442276434265e-073.67211382171325e-07
1260.9999995212789829.57442035691857e-074.78721017845928e-07
1270.9999993671975671.26560486632273e-066.32802433161364e-07
1280.9999993068403511.38631929884413e-066.93159649422067e-07
1290.9999989837775692.03244486275639e-061.01622243137819e-06
1300.9999985006391482.9987217034844e-061.4993608517422e-06
1310.9999977382761094.52344778271502e-062.26172389135751e-06
1320.999998716034472.56793105941303e-061.28396552970652e-06
1330.9999986949910432.61001791445172e-061.30500895722586e-06
1340.999999562101398.75797220382794e-074.37898610191397e-07
1350.9999997021509245.95698151142779e-072.97849075571389e-07
1360.999999953727989.25440401708275e-084.62720200854137e-08
1370.999999929147621.41704760745671e-077.08523803728354e-08
1380.9999999736032455.27935100916679e-082.6396755045834e-08
1390.9999999653009846.93980318129367e-083.46990159064684e-08
1400.9999999466068011.06786398524356e-075.33931992621781e-08
1410.9999999362539481.27492104395199e-076.37460521975997e-08
1420.9999999110607911.77878418725308e-078.89392093626542e-08
1430.9999998955689352.08862129297059e-071.0443106464853e-07
1440.999999904086711.91826579355182e-079.59132896775912e-08
1450.9999998659525362.6809492788468e-071.3404746394234e-07
1460.9999998442461393.11507722690022e-071.55753861345011e-07
1470.9999997586786824.8264263514231e-072.41321317571155e-07
1480.9999996594048776.8119024630702e-073.4059512315351e-07
1490.9999995249207269.50158547742875e-074.75079273871438e-07
1500.9999993187480881.36250382342761e-066.81251911713807e-07
1510.9999992547541091.49049178216359e-067.45245891081795e-07
1520.9999990428686961.91426260833489e-069.57131304167444e-07
1530.9999985748816962.85023660824573e-061.42511830412286e-06
1540.9999984361957983.12760840443593e-061.56380420221796e-06
1550.9999977652226934.46955461468455e-062.23477730734227e-06
1560.9999987569998572.48600028575666e-061.24300014287833e-06
1570.9999989846409532.03071809353625e-061.01535904676812e-06
1580.9999985835560182.83288796299759e-061.4164439814988e-06
1590.9999984233330113.15333397803022e-061.57666698901511e-06
1600.9999976956805654.6086388694055e-062.30431943470275e-06
1610.9999964962397597.00752048114776e-063.50376024057388e-06
1620.9999951027887399.79442252288481e-064.89721126144241e-06
1630.9999936930582821.26138834366017e-056.30694171830087e-06
1640.9999909430468521.81139062956107e-059.05695314780537e-06
1650.9999906920263721.86159472559284e-059.30797362796421e-06
1660.9999980837378593.83252428108927e-061.91626214054464e-06
1670.9999974739603145.05207937234609e-062.52603968617304e-06
1680.9999982608125193.47837496126134e-061.73918748063067e-06
1690.9999980634000013.87319999740384e-061.93659999870192e-06
1700.9999999983176953.36460991594664e-091.68230495797332e-09
1710.9999999971056525.78869662227333e-092.89434831113666e-09
1720.999999995699028.60196042595523e-094.30098021297761e-09
1730.9999999933567181.32865639960214e-086.64328199801069e-09
1740.9999999899477822.01044356287746e-081.00522178143873e-08
1750.999999995626678.74666087207685e-094.37333043603843e-09
1760.9999999950562279.88754653487638e-094.94377326743819e-09
1770.9999999933427431.33145133306882e-086.65725666534409e-09
1780.999999989260632.1478739858293e-081.07393699291465e-08
1790.9999999824304583.51390844667263e-081.75695422333631e-08
1800.9999999958017288.39654442459011e-094.19827221229506e-09
1810.9999999947914921.04170156967378e-085.2085078483689e-09
1820.9999999994104211.17915717271455e-095.89578586357273e-10
1830.9999999989191762.16164885043304e-091.08082442521652e-09
1840.9999999980636843.87263249730138e-091.93631624865069e-09
1850.9999999964922337.0155340866486e-093.5077670433243e-09
1860.9999999936786271.26427450901476e-086.3213725450738e-09
1870.9999999887193912.25612186873098e-081.12806093436549e-08
1880.9999999801232793.9753442158772e-081.9876721079386e-08
1890.9999999710148755.7970250224288e-082.8985125112144e-08
1900.9999999498072611.00385478250744e-075.01927391253718e-08
1910.9999999162029991.67594001447245e-078.37970007236224e-08
1920.9999998774955942.45008812903716e-071.22504406451858e-07
1930.9999998389942113.22011577578654e-071.61005788789327e-07
1940.9999997461124445.07775112817844e-072.53887556408922e-07
1950.9999997348993585.30201283565626e-072.65100641782813e-07
1960.9999995959773178.08045366097512e-074.04022683048756e-07
1970.9999993327132241.33457355159727e-066.67286775798634e-07
1980.9999990868846941.8262306116722e-069.13115305836101e-07
1990.9999985948913252.81021735014044e-061.40510867507022e-06
2000.9999976815838064.63683238814606e-062.31841619407303e-06
2010.9999964035332137.19293357382932e-063.59646678691466e-06
2020.9999950244409619.95111807745802e-064.97555903872901e-06
2030.9999941996366741.16007266522688e-055.80036332613441e-06
2040.9999911552290191.76895419618515e-058.84477098092574e-06
2050.9999881754214252.3649157149814e-051.1824578574907e-05
2060.9999825478401843.49043196309393e-051.74521598154697e-05
2070.9999750921702664.98156594669944e-052.49078297334972e-05
2080.9999989168154052.16636918939187e-061.08318459469594e-06
2090.9999994967555781.00648884352862e-065.0324442176431e-07
2100.999999512457339.75085340909271e-074.87542670454635e-07
2110.9999993326379971.33472400658538e-066.67362003292688e-07
2120.9999994667994231.06640115467105e-065.33200577335525e-07
2130.9999990659406731.86811865457687e-069.34059327288434e-07
2140.999998485976783.02804643937661e-061.5140232196883e-06
2150.9999978180194594.36396108273285e-062.18198054136642e-06
2160.9999968030378136.39392437438148e-063.19696218719074e-06
2170.9999971901923075.61961538617926e-062.80980769308963e-06
2180.9999954974579989.00508400477088e-064.50254200238544e-06
2190.9999928968976061.42062047875524e-057.1031023937762e-06
2200.9999941103144161.17793711683999e-055.88968558419995e-06
2210.9999900594038741.98811922524955e-059.94059612624773e-06
2220.9999831452270523.37095458957773e-051.68547729478886e-05
2230.9999947915137321.04169725363555e-055.20848626817777e-06
2240.9999910394664831.79210670349037e-058.96053351745183e-06
2250.9999849973063063.0005387388218e-051.5002693694109e-05
2260.9999748794659935.02410680139837e-052.51205340069919e-05
2270.9999621624216297.56751567428671e-053.78375783714335e-05
2280.9999472569313090.0001054861373817495.27430686908743e-05
2290.9999359218385260.0001281563229486476.40781614743234e-05
2300.9999759052951544.81894096925696e-052.40947048462848e-05
2310.9999743195981985.13608036029962e-052.56804018014981e-05
2320.9999609430285557.81139428908107e-053.90569714454054e-05
2330.9999714754955665.70490088686784e-052.85245044343392e-05
2340.9999554635212818.90729574372257e-054.45364787186128e-05
2350.9999486774639180.0001026450721643455.13225360821724e-05
2360.9999193478385380.000161304322924688.06521614623401e-05
2370.9999970185176265.96296474883907e-062.98148237441954e-06
2380.999996092569197.81486162102863e-063.90743081051432e-06
2390.9999936267583161.2746483367555e-056.37324168377749e-06
2400.9999941105260751.17789478496401e-055.88947392482004e-06
2410.9999887828830672.24342338657865e-051.12171169328933e-05
2420.9999815423200523.69153598962071e-051.84576799481035e-05
2430.9999884473352432.31053295149312e-051.15526647574656e-05
2440.9999786618362614.26763274786057e-052.13381637393029e-05
2450.9999578298786528.43402426964167e-054.21701213482084e-05
2460.9999177482688660.0001645034622681748.22517311340871e-05
2470.9999364634874780.000127073025044866.353651252243e-05
2480.9999297098726040.0001405802547912437.02901273956216e-05
2490.9998659748755610.0002680502488790080.000134025124439504
2500.9997898150055380.0004203699889249880.000210184994462494
2510.9997519484606930.0004961030786146460.000248051539307323
2520.9995502340356780.0008995319286440270.000449765964322013
2530.9991460345530340.001707930893932360.000853965446966178
2540.9984153506592780.003169298681444330.00158464934072217
2550.9971083580442420.005783283911515450.00289164195575773
2560.9949687503300850.01006249933983060.0050312496699153
2570.9931597737760270.01368045244794550.00684022622397274
2580.9893665442705330.02126691145893330.0106334557294667
2590.9831197870798660.03376042584026890.0168802129201344
2600.973164953412580.053670093174840.02683504658742
2610.9688977962999160.06220440740016770.0311022037000838
2620.9503956127297460.0992087745405080.049604387270254
2630.9218259474478150.1563481051043690.0781740525521845
2640.9033687461407840.1932625077184320.0966312538592158
2650.8669069585614680.2661860828770650.133093041438532
2660.8028771338203020.3942457323593960.197122866179698
2670.7964959294142250.4070081411715510.203504070585775
2680.7354246532818220.5291506934363570.264575346718178
2690.8937051512452350.212589697509530.106294848754765
2700.8373010660606790.3253978678786420.162698933939321
2710.767098489251680.465803021496640.23290151074832
2720.6087920993845130.7824158012309730.391207900615487

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
17 & 0.999663295175334 & 0.000673409649332117 & 0.000336704824666058 \tabularnewline
18 & 0.999090684660964 & 0.00181863067807141 & 0.000909315339035703 \tabularnewline
19 & 0.999168589021067 & 0.0016628219578663 & 0.000831410978933148 \tabularnewline
20 & 0.998597123194095 & 0.00280575361181086 & 0.00140287680590543 \tabularnewline
21 & 0.997987500229455 & 0.00402499954109014 & 0.00201249977054507 \tabularnewline
22 & 0.995998056861245 & 0.00800388627751045 & 0.00400194313875523 \tabularnewline
23 & 0.999976382743918 & 4.72345121640565e-05 & 2.36172560820282e-05 \tabularnewline
24 & 0.999952707148447 & 9.45857031053074e-05 & 4.72928515526537e-05 \tabularnewline
25 & 0.999913272586446 & 0.000173454827107275 & 8.67274135536374e-05 \tabularnewline
26 & 0.999998514435034 & 2.97112993153623e-06 & 1.48556496576812e-06 \tabularnewline
27 & 0.99999858151397 & 2.83697206076706e-06 & 1.41848603038353e-06 \tabularnewline
28 & 0.999997028194018 & 5.94361196340831e-06 & 2.97180598170415e-06 \tabularnewline
29 & 0.999997158370455 & 5.68325908973824e-06 & 2.84162954486912e-06 \tabularnewline
30 & 0.999994793000848 & 1.04139983032754e-05 & 5.20699915163768e-06 \tabularnewline
31 & 0.999990489015114 & 1.90219697712055e-05 & 9.51098488560277e-06 \tabularnewline
32 & 0.999985461583009 & 2.90768339810251e-05 & 1.45384169905125e-05 \tabularnewline
33 & 0.999973339027999 & 5.33219440018882e-05 & 2.66609720009441e-05 \tabularnewline
34 & 0.999990671229543 & 1.86575409145969e-05 & 9.32877045729843e-06 \tabularnewline
35 & 0.999986471065645 & 2.70578687090647e-05 & 1.35289343545323e-05 \tabularnewline
36 & 0.999987388577571 & 2.52228448582477e-05 & 1.26114224291239e-05 \tabularnewline
37 & 0.999978636522139 & 4.27269557212233e-05 & 2.13634778606117e-05 \tabularnewline
38 & 0.999963589202851 & 7.2821594298403e-05 & 3.64107971492015e-05 \tabularnewline
39 & 0.999989596981438 & 2.08060371241459e-05 & 1.0403018562073e-05 \tabularnewline
40 & 0.999981933673864 & 3.6132652271969e-05 & 1.80663261359845e-05 \tabularnewline
41 & 0.999969171455253 & 6.16570894934211e-05 & 3.08285447467105e-05 \tabularnewline
42 & 0.999953404341754 & 9.31913164918993e-05 & 4.65956582459497e-05 \tabularnewline
43 & 0.999929575673439 & 0.000140848653122447 & 7.04243265612233e-05 \tabularnewline
44 & 0.999905941502158 & 0.000188116995683657 & 9.40584978418285e-05 \tabularnewline
45 & 0.99985937958556 & 0.000281240828880583 & 0.000140620414440291 \tabularnewline
46 & 0.999780340065208 & 0.000439319869584366 & 0.000219659934792183 \tabularnewline
47 & 0.999689721626719 & 0.000620556746561647 & 0.000310278373280824 \tabularnewline
48 & 0.999550453177776 & 0.000899093644448362 & 0.000449546822224181 \tabularnewline
49 & 0.99944779391267 & 0.0011044121746608 & 0.000552206087330398 \tabularnewline
50 & 0.999798598895368 & 0.000402802209263367 & 0.000201401104631683 \tabularnewline
51 & 0.999730636263359 & 0.00053872747328198 & 0.00026936373664099 \tabularnewline
52 & 0.999636885534619 & 0.000726228930761377 & 0.000363114465380688 \tabularnewline
53 & 0.999595160711895 & 0.000809678576209972 & 0.000404839288104986 \tabularnewline
54 & 0.99974651437048 & 0.000506971259040093 & 0.000253485629520047 \tabularnewline
55 & 0.999805820494819 & 0.000388359010362584 & 0.000194179505181292 \tabularnewline
56 & 0.999723983139482 & 0.000552033721035731 & 0.000276016860517865 \tabularnewline
57 & 0.999771795299604 & 0.000456409400792037 & 0.000228204700396018 \tabularnewline
58 & 0.999953311676196 & 9.33766476068911e-05 & 4.66883238034455e-05 \tabularnewline
59 & 0.999933553168697 & 0.00013289366260563 & 6.64468313028151e-05 \tabularnewline
60 & 0.999916512390476 & 0.000166975219048482 & 8.34876095242411e-05 \tabularnewline
61 & 0.999878281281706 & 0.00024343743658722 & 0.00012171871829361 \tabularnewline
62 & 0.999825644554965 & 0.000348710890069389 & 0.000174355445034695 \tabularnewline
63 & 0.999741084656787 & 0.000517830686425356 & 0.000258915343212678 \tabularnewline
64 & 0.999631935237648 & 0.000736129524703368 & 0.000368064762351684 \tabularnewline
65 & 0.999698201280122 & 0.000603597439755248 & 0.000301798719877624 \tabularnewline
66 & 0.999622932214955 & 0.000754135570089932 & 0.000377067785044966 \tabularnewline
67 & 0.999576680329938 & 0.000846639340123542 & 0.000423319670061771 \tabularnewline
68 & 0.999397781772612 & 0.00120443645477679 & 0.000602218227388395 \tabularnewline
69 & 0.999178892259507 & 0.00164221548098592 & 0.000821107740492958 \tabularnewline
70 & 0.999116508706583 & 0.00176698258683364 & 0.00088349129341682 \tabularnewline
71 & 0.998877759929591 & 0.00224448014081702 & 0.00112224007040851 \tabularnewline
72 & 0.999560433932513 & 0.000879132134973796 & 0.000439566067486898 \tabularnewline
73 & 0.999421037639668 & 0.00115792472066466 & 0.000578962360332331 \tabularnewline
74 & 0.999440289234774 & 0.00111942153045178 & 0.00055971076522589 \tabularnewline
75 & 0.999621970327083 & 0.000756059345833073 & 0.000378029672916536 \tabularnewline
76 & 0.999555828930193 & 0.000888342139613719 & 0.000444171069806859 \tabularnewline
77 & 0.999659371298912 & 0.000681257402176532 & 0.000340628701088266 \tabularnewline
78 & 0.999561620158797 & 0.00087675968240543 & 0.000438379841202715 \tabularnewline
79 & 0.999461273869876 & 0.00107745226024714 & 0.000538726130123568 \tabularnewline
80 & 0.999251275902854 & 0.00149744819429119 & 0.000748724097145596 \tabularnewline
81 & 0.999007647747232 & 0.0019847045055355 & 0.000992352252767751 \tabularnewline
82 & 0.999155400856252 & 0.00168919828749628 & 0.00084459914374814 \tabularnewline
83 & 0.999745279010542 & 0.000509441978916936 & 0.000254720989458468 \tabularnewline
84 & 0.999831948169075 & 0.000336103661849718 & 0.000168051830924859 \tabularnewline
85 & 0.999773267340682 & 0.000453465318635392 & 0.000226732659317696 \tabularnewline
86 & 0.999811290808716 & 0.000377418382568323 & 0.000188709191284161 \tabularnewline
87 & 0.999741904798583 & 0.000516190402833596 & 0.000258095201416798 \tabularnewline
88 & 0.999717614595178 & 0.000564770809643667 & 0.000282385404821833 \tabularnewline
89 & 0.999794282297846 & 0.000411435404307958 & 0.000205717702153979 \tabularnewline
90 & 0.999724295301736 & 0.00055140939652866 & 0.00027570469826433 \tabularnewline
91 & 0.99964455598912 & 0.000710888021759122 & 0.000355444010879561 \tabularnewline
92 & 0.999521856130356 & 0.000956287739288439 & 0.00047814386964422 \tabularnewline
93 & 0.999557363071342 & 0.000885273857315242 & 0.000442636928657621 \tabularnewline
94 & 0.999395402173454 & 0.00120919565309218 & 0.000604597826546091 \tabularnewline
95 & 0.999339206541899 & 0.00132158691620195 & 0.000660793458100977 \tabularnewline
96 & 0.999095333649642 & 0.0018093327007156 & 0.000904666350357799 \tabularnewline
97 & 0.998896897171164 & 0.00220620565767224 & 0.00110310282883612 \tabularnewline
98 & 0.999998769437964 & 2.4611240723122e-06 & 1.2305620361561e-06 \tabularnewline
99 & 0.999998112119043 & 3.77576191317329e-06 & 1.88788095658665e-06 \tabularnewline
100 & 0.999997395812783 & 5.20837443416709e-06 & 2.60418721708354e-06 \tabularnewline
101 & 0.999996014640796 & 7.97071840891068e-06 & 3.98535920445534e-06 \tabularnewline
102 & 0.999996376058679 & 7.24788264212219e-06 & 3.62394132106109e-06 \tabularnewline
103 & 0.999998172168156 & 3.65566368890163e-06 & 1.82783184445082e-06 \tabularnewline
104 & 0.999997333440029 & 5.33311994272448e-06 & 2.66655997136224e-06 \tabularnewline
105 & 0.999997465840951 & 5.06831809729754e-06 & 2.53415904864877e-06 \tabularnewline
106 & 0.999997530303077 & 4.93939384542655e-06 & 2.46969692271327e-06 \tabularnewline
107 & 0.999998082932565 & 3.8341348702023e-06 & 1.91706743510115e-06 \tabularnewline
108 & 0.999997347823955 & 5.30435208922705e-06 & 2.65217604461352e-06 \tabularnewline
109 & 0.999997862943942 & 4.27411211649472e-06 & 2.13705605824736e-06 \tabularnewline
110 & 0.999996830389988 & 6.33922002312514e-06 & 3.16961001156257e-06 \tabularnewline
111 & 0.999995692902067 & 8.61419586632968e-06 & 4.30709793316484e-06 \tabularnewline
112 & 0.999994967115152 & 1.00657696959866e-05 & 5.03288484799332e-06 \tabularnewline
113 & 0.9999936318588 & 1.27362824002945e-05 & 6.36814120014726e-06 \tabularnewline
114 & 0.999991795907739 & 1.64081845223524e-05 & 8.2040922611762e-06 \tabularnewline
115 & 0.999989756611735 & 2.04867765308867e-05 & 1.02433882654434e-05 \tabularnewline
116 & 0.999987183024633 & 2.56339507335772e-05 & 1.28169753667886e-05 \tabularnewline
117 & 0.999982513470502 & 3.49730589958843e-05 & 1.74865294979422e-05 \tabularnewline
118 & 0.999990541944789 & 1.89161104220677e-05 & 9.45805521103383e-06 \tabularnewline
119 & 0.999986150794392 & 2.76984112164055e-05 & 1.38492056082027e-05 \tabularnewline
120 & 0.999979945159714 & 4.01096805711936e-05 & 2.00548402855968e-05 \tabularnewline
121 & 0.999971772618331 & 5.64547633388364e-05 & 2.82273816694182e-05 \tabularnewline
122 & 0.999970622705487 & 5.87545890251292e-05 & 2.93772945125646e-05 \tabularnewline
123 & 0.99998136037607 & 3.72792478594489e-05 & 1.86396239297244e-05 \tabularnewline
124 & 0.999995740801878 & 8.51839624460107e-06 & 4.25919812230053e-06 \tabularnewline
125 & 0.999999632788618 & 7.3442276434265e-07 & 3.67211382171325e-07 \tabularnewline
126 & 0.999999521278982 & 9.57442035691857e-07 & 4.78721017845928e-07 \tabularnewline
127 & 0.999999367197567 & 1.26560486632273e-06 & 6.32802433161364e-07 \tabularnewline
128 & 0.999999306840351 & 1.38631929884413e-06 & 6.93159649422067e-07 \tabularnewline
129 & 0.999998983777569 & 2.03244486275639e-06 & 1.01622243137819e-06 \tabularnewline
130 & 0.999998500639148 & 2.9987217034844e-06 & 1.4993608517422e-06 \tabularnewline
131 & 0.999997738276109 & 4.52344778271502e-06 & 2.26172389135751e-06 \tabularnewline
132 & 0.99999871603447 & 2.56793105941303e-06 & 1.28396552970652e-06 \tabularnewline
133 & 0.999998694991043 & 2.61001791445172e-06 & 1.30500895722586e-06 \tabularnewline
134 & 0.99999956210139 & 8.75797220382794e-07 & 4.37898610191397e-07 \tabularnewline
135 & 0.999999702150924 & 5.95698151142779e-07 & 2.97849075571389e-07 \tabularnewline
136 & 0.99999995372798 & 9.25440401708275e-08 & 4.62720200854137e-08 \tabularnewline
137 & 0.99999992914762 & 1.41704760745671e-07 & 7.08523803728354e-08 \tabularnewline
138 & 0.999999973603245 & 5.27935100916679e-08 & 2.6396755045834e-08 \tabularnewline
139 & 0.999999965300984 & 6.93980318129367e-08 & 3.46990159064684e-08 \tabularnewline
140 & 0.999999946606801 & 1.06786398524356e-07 & 5.33931992621781e-08 \tabularnewline
141 & 0.999999936253948 & 1.27492104395199e-07 & 6.37460521975997e-08 \tabularnewline
142 & 0.999999911060791 & 1.77878418725308e-07 & 8.89392093626542e-08 \tabularnewline
143 & 0.999999895568935 & 2.08862129297059e-07 & 1.0443106464853e-07 \tabularnewline
144 & 0.99999990408671 & 1.91826579355182e-07 & 9.59132896775912e-08 \tabularnewline
145 & 0.999999865952536 & 2.6809492788468e-07 & 1.3404746394234e-07 \tabularnewline
146 & 0.999999844246139 & 3.11507722690022e-07 & 1.55753861345011e-07 \tabularnewline
147 & 0.999999758678682 & 4.8264263514231e-07 & 2.41321317571155e-07 \tabularnewline
148 & 0.999999659404877 & 6.8119024630702e-07 & 3.4059512315351e-07 \tabularnewline
149 & 0.999999524920726 & 9.50158547742875e-07 & 4.75079273871438e-07 \tabularnewline
150 & 0.999999318748088 & 1.36250382342761e-06 & 6.81251911713807e-07 \tabularnewline
151 & 0.999999254754109 & 1.49049178216359e-06 & 7.45245891081795e-07 \tabularnewline
152 & 0.999999042868696 & 1.91426260833489e-06 & 9.57131304167444e-07 \tabularnewline
153 & 0.999998574881696 & 2.85023660824573e-06 & 1.42511830412286e-06 \tabularnewline
154 & 0.999998436195798 & 3.12760840443593e-06 & 1.56380420221796e-06 \tabularnewline
155 & 0.999997765222693 & 4.46955461468455e-06 & 2.23477730734227e-06 \tabularnewline
156 & 0.999998756999857 & 2.48600028575666e-06 & 1.24300014287833e-06 \tabularnewline
157 & 0.999998984640953 & 2.03071809353625e-06 & 1.01535904676812e-06 \tabularnewline
158 & 0.999998583556018 & 2.83288796299759e-06 & 1.4164439814988e-06 \tabularnewline
159 & 0.999998423333011 & 3.15333397803022e-06 & 1.57666698901511e-06 \tabularnewline
160 & 0.999997695680565 & 4.6086388694055e-06 & 2.30431943470275e-06 \tabularnewline
161 & 0.999996496239759 & 7.00752048114776e-06 & 3.50376024057388e-06 \tabularnewline
162 & 0.999995102788739 & 9.79442252288481e-06 & 4.89721126144241e-06 \tabularnewline
163 & 0.999993693058282 & 1.26138834366017e-05 & 6.30694171830087e-06 \tabularnewline
164 & 0.999990943046852 & 1.81139062956107e-05 & 9.05695314780537e-06 \tabularnewline
165 & 0.999990692026372 & 1.86159472559284e-05 & 9.30797362796421e-06 \tabularnewline
166 & 0.999998083737859 & 3.83252428108927e-06 & 1.91626214054464e-06 \tabularnewline
167 & 0.999997473960314 & 5.05207937234609e-06 & 2.52603968617304e-06 \tabularnewline
168 & 0.999998260812519 & 3.47837496126134e-06 & 1.73918748063067e-06 \tabularnewline
169 & 0.999998063400001 & 3.87319999740384e-06 & 1.93659999870192e-06 \tabularnewline
170 & 0.999999998317695 & 3.36460991594664e-09 & 1.68230495797332e-09 \tabularnewline
171 & 0.999999997105652 & 5.78869662227333e-09 & 2.89434831113666e-09 \tabularnewline
172 & 0.99999999569902 & 8.60196042595523e-09 & 4.30098021297761e-09 \tabularnewline
173 & 0.999999993356718 & 1.32865639960214e-08 & 6.64328199801069e-09 \tabularnewline
174 & 0.999999989947782 & 2.01044356287746e-08 & 1.00522178143873e-08 \tabularnewline
175 & 0.99999999562667 & 8.74666087207685e-09 & 4.37333043603843e-09 \tabularnewline
176 & 0.999999995056227 & 9.88754653487638e-09 & 4.94377326743819e-09 \tabularnewline
177 & 0.999999993342743 & 1.33145133306882e-08 & 6.65725666534409e-09 \tabularnewline
178 & 0.99999998926063 & 2.1478739858293e-08 & 1.07393699291465e-08 \tabularnewline
179 & 0.999999982430458 & 3.51390844667263e-08 & 1.75695422333631e-08 \tabularnewline
180 & 0.999999995801728 & 8.39654442459011e-09 & 4.19827221229506e-09 \tabularnewline
181 & 0.999999994791492 & 1.04170156967378e-08 & 5.2085078483689e-09 \tabularnewline
182 & 0.999999999410421 & 1.17915717271455e-09 & 5.89578586357273e-10 \tabularnewline
183 & 0.999999998919176 & 2.16164885043304e-09 & 1.08082442521652e-09 \tabularnewline
184 & 0.999999998063684 & 3.87263249730138e-09 & 1.93631624865069e-09 \tabularnewline
185 & 0.999999996492233 & 7.0155340866486e-09 & 3.5077670433243e-09 \tabularnewline
186 & 0.999999993678627 & 1.26427450901476e-08 & 6.3213725450738e-09 \tabularnewline
187 & 0.999999988719391 & 2.25612186873098e-08 & 1.12806093436549e-08 \tabularnewline
188 & 0.999999980123279 & 3.9753442158772e-08 & 1.9876721079386e-08 \tabularnewline
189 & 0.999999971014875 & 5.7970250224288e-08 & 2.8985125112144e-08 \tabularnewline
190 & 0.999999949807261 & 1.00385478250744e-07 & 5.01927391253718e-08 \tabularnewline
191 & 0.999999916202999 & 1.67594001447245e-07 & 8.37970007236224e-08 \tabularnewline
192 & 0.999999877495594 & 2.45008812903716e-07 & 1.22504406451858e-07 \tabularnewline
193 & 0.999999838994211 & 3.22011577578654e-07 & 1.61005788789327e-07 \tabularnewline
194 & 0.999999746112444 & 5.07775112817844e-07 & 2.53887556408922e-07 \tabularnewline
195 & 0.999999734899358 & 5.30201283565626e-07 & 2.65100641782813e-07 \tabularnewline
196 & 0.999999595977317 & 8.08045366097512e-07 & 4.04022683048756e-07 \tabularnewline
197 & 0.999999332713224 & 1.33457355159727e-06 & 6.67286775798634e-07 \tabularnewline
198 & 0.999999086884694 & 1.8262306116722e-06 & 9.13115305836101e-07 \tabularnewline
199 & 0.999998594891325 & 2.81021735014044e-06 & 1.40510867507022e-06 \tabularnewline
200 & 0.999997681583806 & 4.63683238814606e-06 & 2.31841619407303e-06 \tabularnewline
201 & 0.999996403533213 & 7.19293357382932e-06 & 3.59646678691466e-06 \tabularnewline
202 & 0.999995024440961 & 9.95111807745802e-06 & 4.97555903872901e-06 \tabularnewline
203 & 0.999994199636674 & 1.16007266522688e-05 & 5.80036332613441e-06 \tabularnewline
204 & 0.999991155229019 & 1.76895419618515e-05 & 8.84477098092574e-06 \tabularnewline
205 & 0.999988175421425 & 2.3649157149814e-05 & 1.1824578574907e-05 \tabularnewline
206 & 0.999982547840184 & 3.49043196309393e-05 & 1.74521598154697e-05 \tabularnewline
207 & 0.999975092170266 & 4.98156594669944e-05 & 2.49078297334972e-05 \tabularnewline
208 & 0.999998916815405 & 2.16636918939187e-06 & 1.08318459469594e-06 \tabularnewline
209 & 0.999999496755578 & 1.00648884352862e-06 & 5.0324442176431e-07 \tabularnewline
210 & 0.99999951245733 & 9.75085340909271e-07 & 4.87542670454635e-07 \tabularnewline
211 & 0.999999332637997 & 1.33472400658538e-06 & 6.67362003292688e-07 \tabularnewline
212 & 0.999999466799423 & 1.06640115467105e-06 & 5.33200577335525e-07 \tabularnewline
213 & 0.999999065940673 & 1.86811865457687e-06 & 9.34059327288434e-07 \tabularnewline
214 & 0.99999848597678 & 3.02804643937661e-06 & 1.5140232196883e-06 \tabularnewline
215 & 0.999997818019459 & 4.36396108273285e-06 & 2.18198054136642e-06 \tabularnewline
216 & 0.999996803037813 & 6.39392437438148e-06 & 3.19696218719074e-06 \tabularnewline
217 & 0.999997190192307 & 5.61961538617926e-06 & 2.80980769308963e-06 \tabularnewline
218 & 0.999995497457998 & 9.00508400477088e-06 & 4.50254200238544e-06 \tabularnewline
219 & 0.999992896897606 & 1.42062047875524e-05 & 7.1031023937762e-06 \tabularnewline
220 & 0.999994110314416 & 1.17793711683999e-05 & 5.88968558419995e-06 \tabularnewline
221 & 0.999990059403874 & 1.98811922524955e-05 & 9.94059612624773e-06 \tabularnewline
222 & 0.999983145227052 & 3.37095458957773e-05 & 1.68547729478886e-05 \tabularnewline
223 & 0.999994791513732 & 1.04169725363555e-05 & 5.20848626817777e-06 \tabularnewline
224 & 0.999991039466483 & 1.79210670349037e-05 & 8.96053351745183e-06 \tabularnewline
225 & 0.999984997306306 & 3.0005387388218e-05 & 1.5002693694109e-05 \tabularnewline
226 & 0.999974879465993 & 5.02410680139837e-05 & 2.51205340069919e-05 \tabularnewline
227 & 0.999962162421629 & 7.56751567428671e-05 & 3.78375783714335e-05 \tabularnewline
228 & 0.999947256931309 & 0.000105486137381749 & 5.27430686908743e-05 \tabularnewline
229 & 0.999935921838526 & 0.000128156322948647 & 6.40781614743234e-05 \tabularnewline
230 & 0.999975905295154 & 4.81894096925696e-05 & 2.40947048462848e-05 \tabularnewline
231 & 0.999974319598198 & 5.13608036029962e-05 & 2.56804018014981e-05 \tabularnewline
232 & 0.999960943028555 & 7.81139428908107e-05 & 3.90569714454054e-05 \tabularnewline
233 & 0.999971475495566 & 5.70490088686784e-05 & 2.85245044343392e-05 \tabularnewline
234 & 0.999955463521281 & 8.90729574372257e-05 & 4.45364787186128e-05 \tabularnewline
235 & 0.999948677463918 & 0.000102645072164345 & 5.13225360821724e-05 \tabularnewline
236 & 0.999919347838538 & 0.00016130432292468 & 8.06521614623401e-05 \tabularnewline
237 & 0.999997018517626 & 5.96296474883907e-06 & 2.98148237441954e-06 \tabularnewline
238 & 0.99999609256919 & 7.81486162102863e-06 & 3.90743081051432e-06 \tabularnewline
239 & 0.999993626758316 & 1.2746483367555e-05 & 6.37324168377749e-06 \tabularnewline
240 & 0.999994110526075 & 1.17789478496401e-05 & 5.88947392482004e-06 \tabularnewline
241 & 0.999988782883067 & 2.24342338657865e-05 & 1.12171169328933e-05 \tabularnewline
242 & 0.999981542320052 & 3.69153598962071e-05 & 1.84576799481035e-05 \tabularnewline
243 & 0.999988447335243 & 2.31053295149312e-05 & 1.15526647574656e-05 \tabularnewline
244 & 0.999978661836261 & 4.26763274786057e-05 & 2.13381637393029e-05 \tabularnewline
245 & 0.999957829878652 & 8.43402426964167e-05 & 4.21701213482084e-05 \tabularnewline
246 & 0.999917748268866 & 0.000164503462268174 & 8.22517311340871e-05 \tabularnewline
247 & 0.999936463487478 & 0.00012707302504486 & 6.353651252243e-05 \tabularnewline
248 & 0.999929709872604 & 0.000140580254791243 & 7.02901273956216e-05 \tabularnewline
249 & 0.999865974875561 & 0.000268050248879008 & 0.000134025124439504 \tabularnewline
250 & 0.999789815005538 & 0.000420369988924988 & 0.000210184994462494 \tabularnewline
251 & 0.999751948460693 & 0.000496103078614646 & 0.000248051539307323 \tabularnewline
252 & 0.999550234035678 & 0.000899531928644027 & 0.000449765964322013 \tabularnewline
253 & 0.999146034553034 & 0.00170793089393236 & 0.000853965446966178 \tabularnewline
254 & 0.998415350659278 & 0.00316929868144433 & 0.00158464934072217 \tabularnewline
255 & 0.997108358044242 & 0.00578328391151545 & 0.00289164195575773 \tabularnewline
256 & 0.994968750330085 & 0.0100624993398306 & 0.0050312496699153 \tabularnewline
257 & 0.993159773776027 & 0.0136804524479455 & 0.00684022622397274 \tabularnewline
258 & 0.989366544270533 & 0.0212669114589333 & 0.0106334557294667 \tabularnewline
259 & 0.983119787079866 & 0.0337604258402689 & 0.0168802129201344 \tabularnewline
260 & 0.97316495341258 & 0.05367009317484 & 0.02683504658742 \tabularnewline
261 & 0.968897796299916 & 0.0622044074001677 & 0.0311022037000838 \tabularnewline
262 & 0.950395612729746 & 0.099208774540508 & 0.049604387270254 \tabularnewline
263 & 0.921825947447815 & 0.156348105104369 & 0.0781740525521845 \tabularnewline
264 & 0.903368746140784 & 0.193262507718432 & 0.0966312538592158 \tabularnewline
265 & 0.866906958561468 & 0.266186082877065 & 0.133093041438532 \tabularnewline
266 & 0.802877133820302 & 0.394245732359396 & 0.197122866179698 \tabularnewline
267 & 0.796495929414225 & 0.407008141171551 & 0.203504070585775 \tabularnewline
268 & 0.735424653281822 & 0.529150693436357 & 0.264575346718178 \tabularnewline
269 & 0.893705151245235 & 0.21258969750953 & 0.106294848754765 \tabularnewline
270 & 0.837301066060679 & 0.325397867878642 & 0.162698933939321 \tabularnewline
271 & 0.76709848925168 & 0.46580302149664 & 0.23290151074832 \tabularnewline
272 & 0.608792099384513 & 0.782415801230973 & 0.391207900615487 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189751&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]17[/C][C]0.999663295175334[/C][C]0.000673409649332117[/C][C]0.000336704824666058[/C][/ROW]
[ROW][C]18[/C][C]0.999090684660964[/C][C]0.00181863067807141[/C][C]0.000909315339035703[/C][/ROW]
[ROW][C]19[/C][C]0.999168589021067[/C][C]0.0016628219578663[/C][C]0.000831410978933148[/C][/ROW]
[ROW][C]20[/C][C]0.998597123194095[/C][C]0.00280575361181086[/C][C]0.00140287680590543[/C][/ROW]
[ROW][C]21[/C][C]0.997987500229455[/C][C]0.00402499954109014[/C][C]0.00201249977054507[/C][/ROW]
[ROW][C]22[/C][C]0.995998056861245[/C][C]0.00800388627751045[/C][C]0.00400194313875523[/C][/ROW]
[ROW][C]23[/C][C]0.999976382743918[/C][C]4.72345121640565e-05[/C][C]2.36172560820282e-05[/C][/ROW]
[ROW][C]24[/C][C]0.999952707148447[/C][C]9.45857031053074e-05[/C][C]4.72928515526537e-05[/C][/ROW]
[ROW][C]25[/C][C]0.999913272586446[/C][C]0.000173454827107275[/C][C]8.67274135536374e-05[/C][/ROW]
[ROW][C]26[/C][C]0.999998514435034[/C][C]2.97112993153623e-06[/C][C]1.48556496576812e-06[/C][/ROW]
[ROW][C]27[/C][C]0.99999858151397[/C][C]2.83697206076706e-06[/C][C]1.41848603038353e-06[/C][/ROW]
[ROW][C]28[/C][C]0.999997028194018[/C][C]5.94361196340831e-06[/C][C]2.97180598170415e-06[/C][/ROW]
[ROW][C]29[/C][C]0.999997158370455[/C][C]5.68325908973824e-06[/C][C]2.84162954486912e-06[/C][/ROW]
[ROW][C]30[/C][C]0.999994793000848[/C][C]1.04139983032754e-05[/C][C]5.20699915163768e-06[/C][/ROW]
[ROW][C]31[/C][C]0.999990489015114[/C][C]1.90219697712055e-05[/C][C]9.51098488560277e-06[/C][/ROW]
[ROW][C]32[/C][C]0.999985461583009[/C][C]2.90768339810251e-05[/C][C]1.45384169905125e-05[/C][/ROW]
[ROW][C]33[/C][C]0.999973339027999[/C][C]5.33219440018882e-05[/C][C]2.66609720009441e-05[/C][/ROW]
[ROW][C]34[/C][C]0.999990671229543[/C][C]1.86575409145969e-05[/C][C]9.32877045729843e-06[/C][/ROW]
[ROW][C]35[/C][C]0.999986471065645[/C][C]2.70578687090647e-05[/C][C]1.35289343545323e-05[/C][/ROW]
[ROW][C]36[/C][C]0.999987388577571[/C][C]2.52228448582477e-05[/C][C]1.26114224291239e-05[/C][/ROW]
[ROW][C]37[/C][C]0.999978636522139[/C][C]4.27269557212233e-05[/C][C]2.13634778606117e-05[/C][/ROW]
[ROW][C]38[/C][C]0.999963589202851[/C][C]7.2821594298403e-05[/C][C]3.64107971492015e-05[/C][/ROW]
[ROW][C]39[/C][C]0.999989596981438[/C][C]2.08060371241459e-05[/C][C]1.0403018562073e-05[/C][/ROW]
[ROW][C]40[/C][C]0.999981933673864[/C][C]3.6132652271969e-05[/C][C]1.80663261359845e-05[/C][/ROW]
[ROW][C]41[/C][C]0.999969171455253[/C][C]6.16570894934211e-05[/C][C]3.08285447467105e-05[/C][/ROW]
[ROW][C]42[/C][C]0.999953404341754[/C][C]9.31913164918993e-05[/C][C]4.65956582459497e-05[/C][/ROW]
[ROW][C]43[/C][C]0.999929575673439[/C][C]0.000140848653122447[/C][C]7.04243265612233e-05[/C][/ROW]
[ROW][C]44[/C][C]0.999905941502158[/C][C]0.000188116995683657[/C][C]9.40584978418285e-05[/C][/ROW]
[ROW][C]45[/C][C]0.99985937958556[/C][C]0.000281240828880583[/C][C]0.000140620414440291[/C][/ROW]
[ROW][C]46[/C][C]0.999780340065208[/C][C]0.000439319869584366[/C][C]0.000219659934792183[/C][/ROW]
[ROW][C]47[/C][C]0.999689721626719[/C][C]0.000620556746561647[/C][C]0.000310278373280824[/C][/ROW]
[ROW][C]48[/C][C]0.999550453177776[/C][C]0.000899093644448362[/C][C]0.000449546822224181[/C][/ROW]
[ROW][C]49[/C][C]0.99944779391267[/C][C]0.0011044121746608[/C][C]0.000552206087330398[/C][/ROW]
[ROW][C]50[/C][C]0.999798598895368[/C][C]0.000402802209263367[/C][C]0.000201401104631683[/C][/ROW]
[ROW][C]51[/C][C]0.999730636263359[/C][C]0.00053872747328198[/C][C]0.00026936373664099[/C][/ROW]
[ROW][C]52[/C][C]0.999636885534619[/C][C]0.000726228930761377[/C][C]0.000363114465380688[/C][/ROW]
[ROW][C]53[/C][C]0.999595160711895[/C][C]0.000809678576209972[/C][C]0.000404839288104986[/C][/ROW]
[ROW][C]54[/C][C]0.99974651437048[/C][C]0.000506971259040093[/C][C]0.000253485629520047[/C][/ROW]
[ROW][C]55[/C][C]0.999805820494819[/C][C]0.000388359010362584[/C][C]0.000194179505181292[/C][/ROW]
[ROW][C]56[/C][C]0.999723983139482[/C][C]0.000552033721035731[/C][C]0.000276016860517865[/C][/ROW]
[ROW][C]57[/C][C]0.999771795299604[/C][C]0.000456409400792037[/C][C]0.000228204700396018[/C][/ROW]
[ROW][C]58[/C][C]0.999953311676196[/C][C]9.33766476068911e-05[/C][C]4.66883238034455e-05[/C][/ROW]
[ROW][C]59[/C][C]0.999933553168697[/C][C]0.00013289366260563[/C][C]6.64468313028151e-05[/C][/ROW]
[ROW][C]60[/C][C]0.999916512390476[/C][C]0.000166975219048482[/C][C]8.34876095242411e-05[/C][/ROW]
[ROW][C]61[/C][C]0.999878281281706[/C][C]0.00024343743658722[/C][C]0.00012171871829361[/C][/ROW]
[ROW][C]62[/C][C]0.999825644554965[/C][C]0.000348710890069389[/C][C]0.000174355445034695[/C][/ROW]
[ROW][C]63[/C][C]0.999741084656787[/C][C]0.000517830686425356[/C][C]0.000258915343212678[/C][/ROW]
[ROW][C]64[/C][C]0.999631935237648[/C][C]0.000736129524703368[/C][C]0.000368064762351684[/C][/ROW]
[ROW][C]65[/C][C]0.999698201280122[/C][C]0.000603597439755248[/C][C]0.000301798719877624[/C][/ROW]
[ROW][C]66[/C][C]0.999622932214955[/C][C]0.000754135570089932[/C][C]0.000377067785044966[/C][/ROW]
[ROW][C]67[/C][C]0.999576680329938[/C][C]0.000846639340123542[/C][C]0.000423319670061771[/C][/ROW]
[ROW][C]68[/C][C]0.999397781772612[/C][C]0.00120443645477679[/C][C]0.000602218227388395[/C][/ROW]
[ROW][C]69[/C][C]0.999178892259507[/C][C]0.00164221548098592[/C][C]0.000821107740492958[/C][/ROW]
[ROW][C]70[/C][C]0.999116508706583[/C][C]0.00176698258683364[/C][C]0.00088349129341682[/C][/ROW]
[ROW][C]71[/C][C]0.998877759929591[/C][C]0.00224448014081702[/C][C]0.00112224007040851[/C][/ROW]
[ROW][C]72[/C][C]0.999560433932513[/C][C]0.000879132134973796[/C][C]0.000439566067486898[/C][/ROW]
[ROW][C]73[/C][C]0.999421037639668[/C][C]0.00115792472066466[/C][C]0.000578962360332331[/C][/ROW]
[ROW][C]74[/C][C]0.999440289234774[/C][C]0.00111942153045178[/C][C]0.00055971076522589[/C][/ROW]
[ROW][C]75[/C][C]0.999621970327083[/C][C]0.000756059345833073[/C][C]0.000378029672916536[/C][/ROW]
[ROW][C]76[/C][C]0.999555828930193[/C][C]0.000888342139613719[/C][C]0.000444171069806859[/C][/ROW]
[ROW][C]77[/C][C]0.999659371298912[/C][C]0.000681257402176532[/C][C]0.000340628701088266[/C][/ROW]
[ROW][C]78[/C][C]0.999561620158797[/C][C]0.00087675968240543[/C][C]0.000438379841202715[/C][/ROW]
[ROW][C]79[/C][C]0.999461273869876[/C][C]0.00107745226024714[/C][C]0.000538726130123568[/C][/ROW]
[ROW][C]80[/C][C]0.999251275902854[/C][C]0.00149744819429119[/C][C]0.000748724097145596[/C][/ROW]
[ROW][C]81[/C][C]0.999007647747232[/C][C]0.0019847045055355[/C][C]0.000992352252767751[/C][/ROW]
[ROW][C]82[/C][C]0.999155400856252[/C][C]0.00168919828749628[/C][C]0.00084459914374814[/C][/ROW]
[ROW][C]83[/C][C]0.999745279010542[/C][C]0.000509441978916936[/C][C]0.000254720989458468[/C][/ROW]
[ROW][C]84[/C][C]0.999831948169075[/C][C]0.000336103661849718[/C][C]0.000168051830924859[/C][/ROW]
[ROW][C]85[/C][C]0.999773267340682[/C][C]0.000453465318635392[/C][C]0.000226732659317696[/C][/ROW]
[ROW][C]86[/C][C]0.999811290808716[/C][C]0.000377418382568323[/C][C]0.000188709191284161[/C][/ROW]
[ROW][C]87[/C][C]0.999741904798583[/C][C]0.000516190402833596[/C][C]0.000258095201416798[/C][/ROW]
[ROW][C]88[/C][C]0.999717614595178[/C][C]0.000564770809643667[/C][C]0.000282385404821833[/C][/ROW]
[ROW][C]89[/C][C]0.999794282297846[/C][C]0.000411435404307958[/C][C]0.000205717702153979[/C][/ROW]
[ROW][C]90[/C][C]0.999724295301736[/C][C]0.00055140939652866[/C][C]0.00027570469826433[/C][/ROW]
[ROW][C]91[/C][C]0.99964455598912[/C][C]0.000710888021759122[/C][C]0.000355444010879561[/C][/ROW]
[ROW][C]92[/C][C]0.999521856130356[/C][C]0.000956287739288439[/C][C]0.00047814386964422[/C][/ROW]
[ROW][C]93[/C][C]0.999557363071342[/C][C]0.000885273857315242[/C][C]0.000442636928657621[/C][/ROW]
[ROW][C]94[/C][C]0.999395402173454[/C][C]0.00120919565309218[/C][C]0.000604597826546091[/C][/ROW]
[ROW][C]95[/C][C]0.999339206541899[/C][C]0.00132158691620195[/C][C]0.000660793458100977[/C][/ROW]
[ROW][C]96[/C][C]0.999095333649642[/C][C]0.0018093327007156[/C][C]0.000904666350357799[/C][/ROW]
[ROW][C]97[/C][C]0.998896897171164[/C][C]0.00220620565767224[/C][C]0.00110310282883612[/C][/ROW]
[ROW][C]98[/C][C]0.999998769437964[/C][C]2.4611240723122e-06[/C][C]1.2305620361561e-06[/C][/ROW]
[ROW][C]99[/C][C]0.999998112119043[/C][C]3.77576191317329e-06[/C][C]1.88788095658665e-06[/C][/ROW]
[ROW][C]100[/C][C]0.999997395812783[/C][C]5.20837443416709e-06[/C][C]2.60418721708354e-06[/C][/ROW]
[ROW][C]101[/C][C]0.999996014640796[/C][C]7.97071840891068e-06[/C][C]3.98535920445534e-06[/C][/ROW]
[ROW][C]102[/C][C]0.999996376058679[/C][C]7.24788264212219e-06[/C][C]3.62394132106109e-06[/C][/ROW]
[ROW][C]103[/C][C]0.999998172168156[/C][C]3.65566368890163e-06[/C][C]1.82783184445082e-06[/C][/ROW]
[ROW][C]104[/C][C]0.999997333440029[/C][C]5.33311994272448e-06[/C][C]2.66655997136224e-06[/C][/ROW]
[ROW][C]105[/C][C]0.999997465840951[/C][C]5.06831809729754e-06[/C][C]2.53415904864877e-06[/C][/ROW]
[ROW][C]106[/C][C]0.999997530303077[/C][C]4.93939384542655e-06[/C][C]2.46969692271327e-06[/C][/ROW]
[ROW][C]107[/C][C]0.999998082932565[/C][C]3.8341348702023e-06[/C][C]1.91706743510115e-06[/C][/ROW]
[ROW][C]108[/C][C]0.999997347823955[/C][C]5.30435208922705e-06[/C][C]2.65217604461352e-06[/C][/ROW]
[ROW][C]109[/C][C]0.999997862943942[/C][C]4.27411211649472e-06[/C][C]2.13705605824736e-06[/C][/ROW]
[ROW][C]110[/C][C]0.999996830389988[/C][C]6.33922002312514e-06[/C][C]3.16961001156257e-06[/C][/ROW]
[ROW][C]111[/C][C]0.999995692902067[/C][C]8.61419586632968e-06[/C][C]4.30709793316484e-06[/C][/ROW]
[ROW][C]112[/C][C]0.999994967115152[/C][C]1.00657696959866e-05[/C][C]5.03288484799332e-06[/C][/ROW]
[ROW][C]113[/C][C]0.9999936318588[/C][C]1.27362824002945e-05[/C][C]6.36814120014726e-06[/C][/ROW]
[ROW][C]114[/C][C]0.999991795907739[/C][C]1.64081845223524e-05[/C][C]8.2040922611762e-06[/C][/ROW]
[ROW][C]115[/C][C]0.999989756611735[/C][C]2.04867765308867e-05[/C][C]1.02433882654434e-05[/C][/ROW]
[ROW][C]116[/C][C]0.999987183024633[/C][C]2.56339507335772e-05[/C][C]1.28169753667886e-05[/C][/ROW]
[ROW][C]117[/C][C]0.999982513470502[/C][C]3.49730589958843e-05[/C][C]1.74865294979422e-05[/C][/ROW]
[ROW][C]118[/C][C]0.999990541944789[/C][C]1.89161104220677e-05[/C][C]9.45805521103383e-06[/C][/ROW]
[ROW][C]119[/C][C]0.999986150794392[/C][C]2.76984112164055e-05[/C][C]1.38492056082027e-05[/C][/ROW]
[ROW][C]120[/C][C]0.999979945159714[/C][C]4.01096805711936e-05[/C][C]2.00548402855968e-05[/C][/ROW]
[ROW][C]121[/C][C]0.999971772618331[/C][C]5.64547633388364e-05[/C][C]2.82273816694182e-05[/C][/ROW]
[ROW][C]122[/C][C]0.999970622705487[/C][C]5.87545890251292e-05[/C][C]2.93772945125646e-05[/C][/ROW]
[ROW][C]123[/C][C]0.99998136037607[/C][C]3.72792478594489e-05[/C][C]1.86396239297244e-05[/C][/ROW]
[ROW][C]124[/C][C]0.999995740801878[/C][C]8.51839624460107e-06[/C][C]4.25919812230053e-06[/C][/ROW]
[ROW][C]125[/C][C]0.999999632788618[/C][C]7.3442276434265e-07[/C][C]3.67211382171325e-07[/C][/ROW]
[ROW][C]126[/C][C]0.999999521278982[/C][C]9.57442035691857e-07[/C][C]4.78721017845928e-07[/C][/ROW]
[ROW][C]127[/C][C]0.999999367197567[/C][C]1.26560486632273e-06[/C][C]6.32802433161364e-07[/C][/ROW]
[ROW][C]128[/C][C]0.999999306840351[/C][C]1.38631929884413e-06[/C][C]6.93159649422067e-07[/C][/ROW]
[ROW][C]129[/C][C]0.999998983777569[/C][C]2.03244486275639e-06[/C][C]1.01622243137819e-06[/C][/ROW]
[ROW][C]130[/C][C]0.999998500639148[/C][C]2.9987217034844e-06[/C][C]1.4993608517422e-06[/C][/ROW]
[ROW][C]131[/C][C]0.999997738276109[/C][C]4.52344778271502e-06[/C][C]2.26172389135751e-06[/C][/ROW]
[ROW][C]132[/C][C]0.99999871603447[/C][C]2.56793105941303e-06[/C][C]1.28396552970652e-06[/C][/ROW]
[ROW][C]133[/C][C]0.999998694991043[/C][C]2.61001791445172e-06[/C][C]1.30500895722586e-06[/C][/ROW]
[ROW][C]134[/C][C]0.99999956210139[/C][C]8.75797220382794e-07[/C][C]4.37898610191397e-07[/C][/ROW]
[ROW][C]135[/C][C]0.999999702150924[/C][C]5.95698151142779e-07[/C][C]2.97849075571389e-07[/C][/ROW]
[ROW][C]136[/C][C]0.99999995372798[/C][C]9.25440401708275e-08[/C][C]4.62720200854137e-08[/C][/ROW]
[ROW][C]137[/C][C]0.99999992914762[/C][C]1.41704760745671e-07[/C][C]7.08523803728354e-08[/C][/ROW]
[ROW][C]138[/C][C]0.999999973603245[/C][C]5.27935100916679e-08[/C][C]2.6396755045834e-08[/C][/ROW]
[ROW][C]139[/C][C]0.999999965300984[/C][C]6.93980318129367e-08[/C][C]3.46990159064684e-08[/C][/ROW]
[ROW][C]140[/C][C]0.999999946606801[/C][C]1.06786398524356e-07[/C][C]5.33931992621781e-08[/C][/ROW]
[ROW][C]141[/C][C]0.999999936253948[/C][C]1.27492104395199e-07[/C][C]6.37460521975997e-08[/C][/ROW]
[ROW][C]142[/C][C]0.999999911060791[/C][C]1.77878418725308e-07[/C][C]8.89392093626542e-08[/C][/ROW]
[ROW][C]143[/C][C]0.999999895568935[/C][C]2.08862129297059e-07[/C][C]1.0443106464853e-07[/C][/ROW]
[ROW][C]144[/C][C]0.99999990408671[/C][C]1.91826579355182e-07[/C][C]9.59132896775912e-08[/C][/ROW]
[ROW][C]145[/C][C]0.999999865952536[/C][C]2.6809492788468e-07[/C][C]1.3404746394234e-07[/C][/ROW]
[ROW][C]146[/C][C]0.999999844246139[/C][C]3.11507722690022e-07[/C][C]1.55753861345011e-07[/C][/ROW]
[ROW][C]147[/C][C]0.999999758678682[/C][C]4.8264263514231e-07[/C][C]2.41321317571155e-07[/C][/ROW]
[ROW][C]148[/C][C]0.999999659404877[/C][C]6.8119024630702e-07[/C][C]3.4059512315351e-07[/C][/ROW]
[ROW][C]149[/C][C]0.999999524920726[/C][C]9.50158547742875e-07[/C][C]4.75079273871438e-07[/C][/ROW]
[ROW][C]150[/C][C]0.999999318748088[/C][C]1.36250382342761e-06[/C][C]6.81251911713807e-07[/C][/ROW]
[ROW][C]151[/C][C]0.999999254754109[/C][C]1.49049178216359e-06[/C][C]7.45245891081795e-07[/C][/ROW]
[ROW][C]152[/C][C]0.999999042868696[/C][C]1.91426260833489e-06[/C][C]9.57131304167444e-07[/C][/ROW]
[ROW][C]153[/C][C]0.999998574881696[/C][C]2.85023660824573e-06[/C][C]1.42511830412286e-06[/C][/ROW]
[ROW][C]154[/C][C]0.999998436195798[/C][C]3.12760840443593e-06[/C][C]1.56380420221796e-06[/C][/ROW]
[ROW][C]155[/C][C]0.999997765222693[/C][C]4.46955461468455e-06[/C][C]2.23477730734227e-06[/C][/ROW]
[ROW][C]156[/C][C]0.999998756999857[/C][C]2.48600028575666e-06[/C][C]1.24300014287833e-06[/C][/ROW]
[ROW][C]157[/C][C]0.999998984640953[/C][C]2.03071809353625e-06[/C][C]1.01535904676812e-06[/C][/ROW]
[ROW][C]158[/C][C]0.999998583556018[/C][C]2.83288796299759e-06[/C][C]1.4164439814988e-06[/C][/ROW]
[ROW][C]159[/C][C]0.999998423333011[/C][C]3.15333397803022e-06[/C][C]1.57666698901511e-06[/C][/ROW]
[ROW][C]160[/C][C]0.999997695680565[/C][C]4.6086388694055e-06[/C][C]2.30431943470275e-06[/C][/ROW]
[ROW][C]161[/C][C]0.999996496239759[/C][C]7.00752048114776e-06[/C][C]3.50376024057388e-06[/C][/ROW]
[ROW][C]162[/C][C]0.999995102788739[/C][C]9.79442252288481e-06[/C][C]4.89721126144241e-06[/C][/ROW]
[ROW][C]163[/C][C]0.999993693058282[/C][C]1.26138834366017e-05[/C][C]6.30694171830087e-06[/C][/ROW]
[ROW][C]164[/C][C]0.999990943046852[/C][C]1.81139062956107e-05[/C][C]9.05695314780537e-06[/C][/ROW]
[ROW][C]165[/C][C]0.999990692026372[/C][C]1.86159472559284e-05[/C][C]9.30797362796421e-06[/C][/ROW]
[ROW][C]166[/C][C]0.999998083737859[/C][C]3.83252428108927e-06[/C][C]1.91626214054464e-06[/C][/ROW]
[ROW][C]167[/C][C]0.999997473960314[/C][C]5.05207937234609e-06[/C][C]2.52603968617304e-06[/C][/ROW]
[ROW][C]168[/C][C]0.999998260812519[/C][C]3.47837496126134e-06[/C][C]1.73918748063067e-06[/C][/ROW]
[ROW][C]169[/C][C]0.999998063400001[/C][C]3.87319999740384e-06[/C][C]1.93659999870192e-06[/C][/ROW]
[ROW][C]170[/C][C]0.999999998317695[/C][C]3.36460991594664e-09[/C][C]1.68230495797332e-09[/C][/ROW]
[ROW][C]171[/C][C]0.999999997105652[/C][C]5.78869662227333e-09[/C][C]2.89434831113666e-09[/C][/ROW]
[ROW][C]172[/C][C]0.99999999569902[/C][C]8.60196042595523e-09[/C][C]4.30098021297761e-09[/C][/ROW]
[ROW][C]173[/C][C]0.999999993356718[/C][C]1.32865639960214e-08[/C][C]6.64328199801069e-09[/C][/ROW]
[ROW][C]174[/C][C]0.999999989947782[/C][C]2.01044356287746e-08[/C][C]1.00522178143873e-08[/C][/ROW]
[ROW][C]175[/C][C]0.99999999562667[/C][C]8.74666087207685e-09[/C][C]4.37333043603843e-09[/C][/ROW]
[ROW][C]176[/C][C]0.999999995056227[/C][C]9.88754653487638e-09[/C][C]4.94377326743819e-09[/C][/ROW]
[ROW][C]177[/C][C]0.999999993342743[/C][C]1.33145133306882e-08[/C][C]6.65725666534409e-09[/C][/ROW]
[ROW][C]178[/C][C]0.99999998926063[/C][C]2.1478739858293e-08[/C][C]1.07393699291465e-08[/C][/ROW]
[ROW][C]179[/C][C]0.999999982430458[/C][C]3.51390844667263e-08[/C][C]1.75695422333631e-08[/C][/ROW]
[ROW][C]180[/C][C]0.999999995801728[/C][C]8.39654442459011e-09[/C][C]4.19827221229506e-09[/C][/ROW]
[ROW][C]181[/C][C]0.999999994791492[/C][C]1.04170156967378e-08[/C][C]5.2085078483689e-09[/C][/ROW]
[ROW][C]182[/C][C]0.999999999410421[/C][C]1.17915717271455e-09[/C][C]5.89578586357273e-10[/C][/ROW]
[ROW][C]183[/C][C]0.999999998919176[/C][C]2.16164885043304e-09[/C][C]1.08082442521652e-09[/C][/ROW]
[ROW][C]184[/C][C]0.999999998063684[/C][C]3.87263249730138e-09[/C][C]1.93631624865069e-09[/C][/ROW]
[ROW][C]185[/C][C]0.999999996492233[/C][C]7.0155340866486e-09[/C][C]3.5077670433243e-09[/C][/ROW]
[ROW][C]186[/C][C]0.999999993678627[/C][C]1.26427450901476e-08[/C][C]6.3213725450738e-09[/C][/ROW]
[ROW][C]187[/C][C]0.999999988719391[/C][C]2.25612186873098e-08[/C][C]1.12806093436549e-08[/C][/ROW]
[ROW][C]188[/C][C]0.999999980123279[/C][C]3.9753442158772e-08[/C][C]1.9876721079386e-08[/C][/ROW]
[ROW][C]189[/C][C]0.999999971014875[/C][C]5.7970250224288e-08[/C][C]2.8985125112144e-08[/C][/ROW]
[ROW][C]190[/C][C]0.999999949807261[/C][C]1.00385478250744e-07[/C][C]5.01927391253718e-08[/C][/ROW]
[ROW][C]191[/C][C]0.999999916202999[/C][C]1.67594001447245e-07[/C][C]8.37970007236224e-08[/C][/ROW]
[ROW][C]192[/C][C]0.999999877495594[/C][C]2.45008812903716e-07[/C][C]1.22504406451858e-07[/C][/ROW]
[ROW][C]193[/C][C]0.999999838994211[/C][C]3.22011577578654e-07[/C][C]1.61005788789327e-07[/C][/ROW]
[ROW][C]194[/C][C]0.999999746112444[/C][C]5.07775112817844e-07[/C][C]2.53887556408922e-07[/C][/ROW]
[ROW][C]195[/C][C]0.999999734899358[/C][C]5.30201283565626e-07[/C][C]2.65100641782813e-07[/C][/ROW]
[ROW][C]196[/C][C]0.999999595977317[/C][C]8.08045366097512e-07[/C][C]4.04022683048756e-07[/C][/ROW]
[ROW][C]197[/C][C]0.999999332713224[/C][C]1.33457355159727e-06[/C][C]6.67286775798634e-07[/C][/ROW]
[ROW][C]198[/C][C]0.999999086884694[/C][C]1.8262306116722e-06[/C][C]9.13115305836101e-07[/C][/ROW]
[ROW][C]199[/C][C]0.999998594891325[/C][C]2.81021735014044e-06[/C][C]1.40510867507022e-06[/C][/ROW]
[ROW][C]200[/C][C]0.999997681583806[/C][C]4.63683238814606e-06[/C][C]2.31841619407303e-06[/C][/ROW]
[ROW][C]201[/C][C]0.999996403533213[/C][C]7.19293357382932e-06[/C][C]3.59646678691466e-06[/C][/ROW]
[ROW][C]202[/C][C]0.999995024440961[/C][C]9.95111807745802e-06[/C][C]4.97555903872901e-06[/C][/ROW]
[ROW][C]203[/C][C]0.999994199636674[/C][C]1.16007266522688e-05[/C][C]5.80036332613441e-06[/C][/ROW]
[ROW][C]204[/C][C]0.999991155229019[/C][C]1.76895419618515e-05[/C][C]8.84477098092574e-06[/C][/ROW]
[ROW][C]205[/C][C]0.999988175421425[/C][C]2.3649157149814e-05[/C][C]1.1824578574907e-05[/C][/ROW]
[ROW][C]206[/C][C]0.999982547840184[/C][C]3.49043196309393e-05[/C][C]1.74521598154697e-05[/C][/ROW]
[ROW][C]207[/C][C]0.999975092170266[/C][C]4.98156594669944e-05[/C][C]2.49078297334972e-05[/C][/ROW]
[ROW][C]208[/C][C]0.999998916815405[/C][C]2.16636918939187e-06[/C][C]1.08318459469594e-06[/C][/ROW]
[ROW][C]209[/C][C]0.999999496755578[/C][C]1.00648884352862e-06[/C][C]5.0324442176431e-07[/C][/ROW]
[ROW][C]210[/C][C]0.99999951245733[/C][C]9.75085340909271e-07[/C][C]4.87542670454635e-07[/C][/ROW]
[ROW][C]211[/C][C]0.999999332637997[/C][C]1.33472400658538e-06[/C][C]6.67362003292688e-07[/C][/ROW]
[ROW][C]212[/C][C]0.999999466799423[/C][C]1.06640115467105e-06[/C][C]5.33200577335525e-07[/C][/ROW]
[ROW][C]213[/C][C]0.999999065940673[/C][C]1.86811865457687e-06[/C][C]9.34059327288434e-07[/C][/ROW]
[ROW][C]214[/C][C]0.99999848597678[/C][C]3.02804643937661e-06[/C][C]1.5140232196883e-06[/C][/ROW]
[ROW][C]215[/C][C]0.999997818019459[/C][C]4.36396108273285e-06[/C][C]2.18198054136642e-06[/C][/ROW]
[ROW][C]216[/C][C]0.999996803037813[/C][C]6.39392437438148e-06[/C][C]3.19696218719074e-06[/C][/ROW]
[ROW][C]217[/C][C]0.999997190192307[/C][C]5.61961538617926e-06[/C][C]2.80980769308963e-06[/C][/ROW]
[ROW][C]218[/C][C]0.999995497457998[/C][C]9.00508400477088e-06[/C][C]4.50254200238544e-06[/C][/ROW]
[ROW][C]219[/C][C]0.999992896897606[/C][C]1.42062047875524e-05[/C][C]7.1031023937762e-06[/C][/ROW]
[ROW][C]220[/C][C]0.999994110314416[/C][C]1.17793711683999e-05[/C][C]5.88968558419995e-06[/C][/ROW]
[ROW][C]221[/C][C]0.999990059403874[/C][C]1.98811922524955e-05[/C][C]9.94059612624773e-06[/C][/ROW]
[ROW][C]222[/C][C]0.999983145227052[/C][C]3.37095458957773e-05[/C][C]1.68547729478886e-05[/C][/ROW]
[ROW][C]223[/C][C]0.999994791513732[/C][C]1.04169725363555e-05[/C][C]5.20848626817777e-06[/C][/ROW]
[ROW][C]224[/C][C]0.999991039466483[/C][C]1.79210670349037e-05[/C][C]8.96053351745183e-06[/C][/ROW]
[ROW][C]225[/C][C]0.999984997306306[/C][C]3.0005387388218e-05[/C][C]1.5002693694109e-05[/C][/ROW]
[ROW][C]226[/C][C]0.999974879465993[/C][C]5.02410680139837e-05[/C][C]2.51205340069919e-05[/C][/ROW]
[ROW][C]227[/C][C]0.999962162421629[/C][C]7.56751567428671e-05[/C][C]3.78375783714335e-05[/C][/ROW]
[ROW][C]228[/C][C]0.999947256931309[/C][C]0.000105486137381749[/C][C]5.27430686908743e-05[/C][/ROW]
[ROW][C]229[/C][C]0.999935921838526[/C][C]0.000128156322948647[/C][C]6.40781614743234e-05[/C][/ROW]
[ROW][C]230[/C][C]0.999975905295154[/C][C]4.81894096925696e-05[/C][C]2.40947048462848e-05[/C][/ROW]
[ROW][C]231[/C][C]0.999974319598198[/C][C]5.13608036029962e-05[/C][C]2.56804018014981e-05[/C][/ROW]
[ROW][C]232[/C][C]0.999960943028555[/C][C]7.81139428908107e-05[/C][C]3.90569714454054e-05[/C][/ROW]
[ROW][C]233[/C][C]0.999971475495566[/C][C]5.70490088686784e-05[/C][C]2.85245044343392e-05[/C][/ROW]
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[ROW][C]237[/C][C]0.999997018517626[/C][C]5.96296474883907e-06[/C][C]2.98148237441954e-06[/C][/ROW]
[ROW][C]238[/C][C]0.99999609256919[/C][C]7.81486162102863e-06[/C][C]3.90743081051432e-06[/C][/ROW]
[ROW][C]239[/C][C]0.999993626758316[/C][C]1.2746483367555e-05[/C][C]6.37324168377749e-06[/C][/ROW]
[ROW][C]240[/C][C]0.999994110526075[/C][C]1.17789478496401e-05[/C][C]5.88947392482004e-06[/C][/ROW]
[ROW][C]241[/C][C]0.999988782883067[/C][C]2.24342338657865e-05[/C][C]1.12171169328933e-05[/C][/ROW]
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[ROW][C]248[/C][C]0.999929709872604[/C][C]0.000140580254791243[/C][C]7.02901273956216e-05[/C][/ROW]
[ROW][C]249[/C][C]0.999865974875561[/C][C]0.000268050248879008[/C][C]0.000134025124439504[/C][/ROW]
[ROW][C]250[/C][C]0.999789815005538[/C][C]0.000420369988924988[/C][C]0.000210184994462494[/C][/ROW]
[ROW][C]251[/C][C]0.999751948460693[/C][C]0.000496103078614646[/C][C]0.000248051539307323[/C][/ROW]
[ROW][C]252[/C][C]0.999550234035678[/C][C]0.000899531928644027[/C][C]0.000449765964322013[/C][/ROW]
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[ROW][C]254[/C][C]0.998415350659278[/C][C]0.00316929868144433[/C][C]0.00158464934072217[/C][/ROW]
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[ROW][C]256[/C][C]0.994968750330085[/C][C]0.0100624993398306[/C][C]0.0050312496699153[/C][/ROW]
[ROW][C]257[/C][C]0.993159773776027[/C][C]0.0136804524479455[/C][C]0.00684022622397274[/C][/ROW]
[ROW][C]258[/C][C]0.989366544270533[/C][C]0.0212669114589333[/C][C]0.0106334557294667[/C][/ROW]
[ROW][C]259[/C][C]0.983119787079866[/C][C]0.0337604258402689[/C][C]0.0168802129201344[/C][/ROW]
[ROW][C]260[/C][C]0.97316495341258[/C][C]0.05367009317484[/C][C]0.02683504658742[/C][/ROW]
[ROW][C]261[/C][C]0.968897796299916[/C][C]0.0622044074001677[/C][C]0.0311022037000838[/C][/ROW]
[ROW][C]262[/C][C]0.950395612729746[/C][C]0.099208774540508[/C][C]0.049604387270254[/C][/ROW]
[ROW][C]263[/C][C]0.921825947447815[/C][C]0.156348105104369[/C][C]0.0781740525521845[/C][/ROW]
[ROW][C]264[/C][C]0.903368746140784[/C][C]0.193262507718432[/C][C]0.0966312538592158[/C][/ROW]
[ROW][C]265[/C][C]0.866906958561468[/C][C]0.266186082877065[/C][C]0.133093041438532[/C][/ROW]
[ROW][C]266[/C][C]0.802877133820302[/C][C]0.394245732359396[/C][C]0.197122866179698[/C][/ROW]
[ROW][C]267[/C][C]0.796495929414225[/C][C]0.407008141171551[/C][C]0.203504070585775[/C][/ROW]
[ROW][C]268[/C][C]0.735424653281822[/C][C]0.529150693436357[/C][C]0.264575346718178[/C][/ROW]
[ROW][C]269[/C][C]0.893705151245235[/C][C]0.21258969750953[/C][C]0.106294848754765[/C][/ROW]
[ROW][C]270[/C][C]0.837301066060679[/C][C]0.325397867878642[/C][C]0.162698933939321[/C][/ROW]
[ROW][C]271[/C][C]0.76709848925168[/C][C]0.46580302149664[/C][C]0.23290151074832[/C][/ROW]
[ROW][C]272[/C][C]0.608792099384513[/C][C]0.782415801230973[/C][C]0.391207900615487[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189751&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189751&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-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.9996632951753340.0006734096493321170.000336704824666058
180.9990906846609640.001818630678071410.000909315339035703
190.9991685890210670.00166282195786630.000831410978933148
200.9985971231940950.002805753611810860.00140287680590543
210.9979875002294550.004024999541090140.00201249977054507
220.9959980568612450.008003886277510450.00400194313875523
230.9999763827439184.72345121640565e-052.36172560820282e-05
240.9999527071484479.45857031053074e-054.72928515526537e-05
250.9999132725864460.0001734548271072758.67274135536374e-05
260.9999985144350342.97112993153623e-061.48556496576812e-06
270.999998581513972.83697206076706e-061.41848603038353e-06
280.9999970281940185.94361196340831e-062.97180598170415e-06
290.9999971583704555.68325908973824e-062.84162954486912e-06
300.9999947930008481.04139983032754e-055.20699915163768e-06
310.9999904890151141.90219697712055e-059.51098488560277e-06
320.9999854615830092.90768339810251e-051.45384169905125e-05
330.9999733390279995.33219440018882e-052.66609720009441e-05
340.9999906712295431.86575409145969e-059.32877045729843e-06
350.9999864710656452.70578687090647e-051.35289343545323e-05
360.9999873885775712.52228448582477e-051.26114224291239e-05
370.9999786365221394.27269557212233e-052.13634778606117e-05
380.9999635892028517.2821594298403e-053.64107971492015e-05
390.9999895969814382.08060371241459e-051.0403018562073e-05
400.9999819336738643.6132652271969e-051.80663261359845e-05
410.9999691714552536.16570894934211e-053.08285447467105e-05
420.9999534043417549.31913164918993e-054.65956582459497e-05
430.9999295756734390.0001408486531224477.04243265612233e-05
440.9999059415021580.0001881169956836579.40584978418285e-05
450.999859379585560.0002812408288805830.000140620414440291
460.9997803400652080.0004393198695843660.000219659934792183
470.9996897216267190.0006205567465616470.000310278373280824
480.9995504531777760.0008990936444483620.000449546822224181
490.999447793912670.00110441217466080.000552206087330398
500.9997985988953680.0004028022092633670.000201401104631683
510.9997306362633590.000538727473281980.00026936373664099
520.9996368855346190.0007262289307613770.000363114465380688
530.9995951607118950.0008096785762099720.000404839288104986
540.999746514370480.0005069712590400930.000253485629520047
550.9998058204948190.0003883590103625840.000194179505181292
560.9997239831394820.0005520337210357310.000276016860517865
570.9997717952996040.0004564094007920370.000228204700396018
580.9999533116761969.33766476068911e-054.66883238034455e-05
590.9999335531686970.000132893662605636.64468313028151e-05
600.9999165123904760.0001669752190484828.34876095242411e-05
610.9998782812817060.000243437436587220.00012171871829361
620.9998256445549650.0003487108900693890.000174355445034695
630.9997410846567870.0005178306864253560.000258915343212678
640.9996319352376480.0007361295247033680.000368064762351684
650.9996982012801220.0006035974397552480.000301798719877624
660.9996229322149550.0007541355700899320.000377067785044966
670.9995766803299380.0008466393401235420.000423319670061771
680.9993977817726120.001204436454776790.000602218227388395
690.9991788922595070.001642215480985920.000821107740492958
700.9991165087065830.001766982586833640.00088349129341682
710.9988777599295910.002244480140817020.00112224007040851
720.9995604339325130.0008791321349737960.000439566067486898
730.9994210376396680.001157924720664660.000578962360332331
740.9994402892347740.001119421530451780.00055971076522589
750.9996219703270830.0007560593458330730.000378029672916536
760.9995558289301930.0008883421396137190.000444171069806859
770.9996593712989120.0006812574021765320.000340628701088266
780.9995616201587970.000876759682405430.000438379841202715
790.9994612738698760.001077452260247140.000538726130123568
800.9992512759028540.001497448194291190.000748724097145596
810.9990076477472320.00198470450553550.000992352252767751
820.9991554008562520.001689198287496280.00084459914374814
830.9997452790105420.0005094419789169360.000254720989458468
840.9998319481690750.0003361036618497180.000168051830924859
850.9997732673406820.0004534653186353920.000226732659317696
860.9998112908087160.0003774183825683230.000188709191284161
870.9997419047985830.0005161904028335960.000258095201416798
880.9997176145951780.0005647708096436670.000282385404821833
890.9997942822978460.0004114354043079580.000205717702153979
900.9997242953017360.000551409396528660.00027570469826433
910.999644555989120.0007108880217591220.000355444010879561
920.9995218561303560.0009562877392884390.00047814386964422
930.9995573630713420.0008852738573152420.000442636928657621
940.9993954021734540.001209195653092180.000604597826546091
950.9993392065418990.001321586916201950.000660793458100977
960.9990953336496420.00180933270071560.000904666350357799
970.9988968971711640.002206205657672240.00110310282883612
980.9999987694379642.4611240723122e-061.2305620361561e-06
990.9999981121190433.77576191317329e-061.88788095658665e-06
1000.9999973958127835.20837443416709e-062.60418721708354e-06
1010.9999960146407967.97071840891068e-063.98535920445534e-06
1020.9999963760586797.24788264212219e-063.62394132106109e-06
1030.9999981721681563.65566368890163e-061.82783184445082e-06
1040.9999973334400295.33311994272448e-062.66655997136224e-06
1050.9999974658409515.06831809729754e-062.53415904864877e-06
1060.9999975303030774.93939384542655e-062.46969692271327e-06
1070.9999980829325653.8341348702023e-061.91706743510115e-06
1080.9999973478239555.30435208922705e-062.65217604461352e-06
1090.9999978629439424.27411211649472e-062.13705605824736e-06
1100.9999968303899886.33922002312514e-063.16961001156257e-06
1110.9999956929020678.61419586632968e-064.30709793316484e-06
1120.9999949671151521.00657696959866e-055.03288484799332e-06
1130.99999363185881.27362824002945e-056.36814120014726e-06
1140.9999917959077391.64081845223524e-058.2040922611762e-06
1150.9999897566117352.04867765308867e-051.02433882654434e-05
1160.9999871830246332.56339507335772e-051.28169753667886e-05
1170.9999825134705023.49730589958843e-051.74865294979422e-05
1180.9999905419447891.89161104220677e-059.45805521103383e-06
1190.9999861507943922.76984112164055e-051.38492056082027e-05
1200.9999799451597144.01096805711936e-052.00548402855968e-05
1210.9999717726183315.64547633388364e-052.82273816694182e-05
1220.9999706227054875.87545890251292e-052.93772945125646e-05
1230.999981360376073.72792478594489e-051.86396239297244e-05
1240.9999957408018788.51839624460107e-064.25919812230053e-06
1250.9999996327886187.3442276434265e-073.67211382171325e-07
1260.9999995212789829.57442035691857e-074.78721017845928e-07
1270.9999993671975671.26560486632273e-066.32802433161364e-07
1280.9999993068403511.38631929884413e-066.93159649422067e-07
1290.9999989837775692.03244486275639e-061.01622243137819e-06
1300.9999985006391482.9987217034844e-061.4993608517422e-06
1310.9999977382761094.52344778271502e-062.26172389135751e-06
1320.999998716034472.56793105941303e-061.28396552970652e-06
1330.9999986949910432.61001791445172e-061.30500895722586e-06
1340.999999562101398.75797220382794e-074.37898610191397e-07
1350.9999997021509245.95698151142779e-072.97849075571389e-07
1360.999999953727989.25440401708275e-084.62720200854137e-08
1370.999999929147621.41704760745671e-077.08523803728354e-08
1380.9999999736032455.27935100916679e-082.6396755045834e-08
1390.9999999653009846.93980318129367e-083.46990159064684e-08
1400.9999999466068011.06786398524356e-075.33931992621781e-08
1410.9999999362539481.27492104395199e-076.37460521975997e-08
1420.9999999110607911.77878418725308e-078.89392093626542e-08
1430.9999998955689352.08862129297059e-071.0443106464853e-07
1440.999999904086711.91826579355182e-079.59132896775912e-08
1450.9999998659525362.6809492788468e-071.3404746394234e-07
1460.9999998442461393.11507722690022e-071.55753861345011e-07
1470.9999997586786824.8264263514231e-072.41321317571155e-07
1480.9999996594048776.8119024630702e-073.4059512315351e-07
1490.9999995249207269.50158547742875e-074.75079273871438e-07
1500.9999993187480881.36250382342761e-066.81251911713807e-07
1510.9999992547541091.49049178216359e-067.45245891081795e-07
1520.9999990428686961.91426260833489e-069.57131304167444e-07
1530.9999985748816962.85023660824573e-061.42511830412286e-06
1540.9999984361957983.12760840443593e-061.56380420221796e-06
1550.9999977652226934.46955461468455e-062.23477730734227e-06
1560.9999987569998572.48600028575666e-061.24300014287833e-06
1570.9999989846409532.03071809353625e-061.01535904676812e-06
1580.9999985835560182.83288796299759e-061.4164439814988e-06
1590.9999984233330113.15333397803022e-061.57666698901511e-06
1600.9999976956805654.6086388694055e-062.30431943470275e-06
1610.9999964962397597.00752048114776e-063.50376024057388e-06
1620.9999951027887399.79442252288481e-064.89721126144241e-06
1630.9999936930582821.26138834366017e-056.30694171830087e-06
1640.9999909430468521.81139062956107e-059.05695314780537e-06
1650.9999906920263721.86159472559284e-059.30797362796421e-06
1660.9999980837378593.83252428108927e-061.91626214054464e-06
1670.9999974739603145.05207937234609e-062.52603968617304e-06
1680.9999982608125193.47837496126134e-061.73918748063067e-06
1690.9999980634000013.87319999740384e-061.93659999870192e-06
1700.9999999983176953.36460991594664e-091.68230495797332e-09
1710.9999999971056525.78869662227333e-092.89434831113666e-09
1720.999999995699028.60196042595523e-094.30098021297761e-09
1730.9999999933567181.32865639960214e-086.64328199801069e-09
1740.9999999899477822.01044356287746e-081.00522178143873e-08
1750.999999995626678.74666087207685e-094.37333043603843e-09
1760.9999999950562279.88754653487638e-094.94377326743819e-09
1770.9999999933427431.33145133306882e-086.65725666534409e-09
1780.999999989260632.1478739858293e-081.07393699291465e-08
1790.9999999824304583.51390844667263e-081.75695422333631e-08
1800.9999999958017288.39654442459011e-094.19827221229506e-09
1810.9999999947914921.04170156967378e-085.2085078483689e-09
1820.9999999994104211.17915717271455e-095.89578586357273e-10
1830.9999999989191762.16164885043304e-091.08082442521652e-09
1840.9999999980636843.87263249730138e-091.93631624865069e-09
1850.9999999964922337.0155340866486e-093.5077670433243e-09
1860.9999999936786271.26427450901476e-086.3213725450738e-09
1870.9999999887193912.25612186873098e-081.12806093436549e-08
1880.9999999801232793.9753442158772e-081.9876721079386e-08
1890.9999999710148755.7970250224288e-082.8985125112144e-08
1900.9999999498072611.00385478250744e-075.01927391253718e-08
1910.9999999162029991.67594001447245e-078.37970007236224e-08
1920.9999998774955942.45008812903716e-071.22504406451858e-07
1930.9999998389942113.22011577578654e-071.61005788789327e-07
1940.9999997461124445.07775112817844e-072.53887556408922e-07
1950.9999997348993585.30201283565626e-072.65100641782813e-07
1960.9999995959773178.08045366097512e-074.04022683048756e-07
1970.9999993327132241.33457355159727e-066.67286775798634e-07
1980.9999990868846941.8262306116722e-069.13115305836101e-07
1990.9999985948913252.81021735014044e-061.40510867507022e-06
2000.9999976815838064.63683238814606e-062.31841619407303e-06
2010.9999964035332137.19293357382932e-063.59646678691466e-06
2020.9999950244409619.95111807745802e-064.97555903872901e-06
2030.9999941996366741.16007266522688e-055.80036332613441e-06
2040.9999911552290191.76895419618515e-058.84477098092574e-06
2050.9999881754214252.3649157149814e-051.1824578574907e-05
2060.9999825478401843.49043196309393e-051.74521598154697e-05
2070.9999750921702664.98156594669944e-052.49078297334972e-05
2080.9999989168154052.16636918939187e-061.08318459469594e-06
2090.9999994967555781.00648884352862e-065.0324442176431e-07
2100.999999512457339.75085340909271e-074.87542670454635e-07
2110.9999993326379971.33472400658538e-066.67362003292688e-07
2120.9999994667994231.06640115467105e-065.33200577335525e-07
2130.9999990659406731.86811865457687e-069.34059327288434e-07
2140.999998485976783.02804643937661e-061.5140232196883e-06
2150.9999978180194594.36396108273285e-062.18198054136642e-06
2160.9999968030378136.39392437438148e-063.19696218719074e-06
2170.9999971901923075.61961538617926e-062.80980769308963e-06
2180.9999954974579989.00508400477088e-064.50254200238544e-06
2190.9999928968976061.42062047875524e-057.1031023937762e-06
2200.9999941103144161.17793711683999e-055.88968558419995e-06
2210.9999900594038741.98811922524955e-059.94059612624773e-06
2220.9999831452270523.37095458957773e-051.68547729478886e-05
2230.9999947915137321.04169725363555e-055.20848626817777e-06
2240.9999910394664831.79210670349037e-058.96053351745183e-06
2250.9999849973063063.0005387388218e-051.5002693694109e-05
2260.9999748794659935.02410680139837e-052.51205340069919e-05
2270.9999621624216297.56751567428671e-053.78375783714335e-05
2280.9999472569313090.0001054861373817495.27430686908743e-05
2290.9999359218385260.0001281563229486476.40781614743234e-05
2300.9999759052951544.81894096925696e-052.40947048462848e-05
2310.9999743195981985.13608036029962e-052.56804018014981e-05
2320.9999609430285557.81139428908107e-053.90569714454054e-05
2330.9999714754955665.70490088686784e-052.85245044343392e-05
2340.9999554635212818.90729574372257e-054.45364787186128e-05
2350.9999486774639180.0001026450721643455.13225360821724e-05
2360.9999193478385380.000161304322924688.06521614623401e-05
2370.9999970185176265.96296474883907e-062.98148237441954e-06
2380.999996092569197.81486162102863e-063.90743081051432e-06
2390.9999936267583161.2746483367555e-056.37324168377749e-06
2400.9999941105260751.17789478496401e-055.88947392482004e-06
2410.9999887828830672.24342338657865e-051.12171169328933e-05
2420.9999815423200523.69153598962071e-051.84576799481035e-05
2430.9999884473352432.31053295149312e-051.15526647574656e-05
2440.9999786618362614.26763274786057e-052.13381637393029e-05
2450.9999578298786528.43402426964167e-054.21701213482084e-05
2460.9999177482688660.0001645034622681748.22517311340871e-05
2470.9999364634874780.000127073025044866.353651252243e-05
2480.9999297098726040.0001405802547912437.02901273956216e-05
2490.9998659748755610.0002680502488790080.000134025124439504
2500.9997898150055380.0004203699889249880.000210184994462494
2510.9997519484606930.0004961030786146460.000248051539307323
2520.9995502340356780.0008995319286440270.000449765964322013
2530.9991460345530340.001707930893932360.000853965446966178
2540.9984153506592780.003169298681444330.00158464934072217
2550.9971083580442420.005783283911515450.00289164195575773
2560.9949687503300850.01006249933983060.0050312496699153
2570.9931597737760270.01368045244794550.00684022622397274
2580.9893665442705330.02126691145893330.0106334557294667
2590.9831197870798660.03376042584026890.0168802129201344
2600.973164953412580.053670093174840.02683504658742
2610.9688977962999160.06220440740016770.0311022037000838
2620.9503956127297460.0992087745405080.049604387270254
2630.9218259474478150.1563481051043690.0781740525521845
2640.9033687461407840.1932625077184320.0966312538592158
2650.8669069585614680.2661860828770650.133093041438532
2660.8028771338203020.3942457323593960.197122866179698
2670.7964959294142250.4070081411715510.203504070585775
2680.7354246532818220.5291506934363570.264575346718178
2690.8937051512452350.212589697509530.106294848754765
2700.8373010660606790.3253978678786420.162698933939321
2710.767098489251680.465803021496640.23290151074832
2720.6087920993845130.7824158012309730.391207900615487







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2390.93359375NOK
5% type I error level2430.94921875NOK
10% type I error level2460.9609375NOK

\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 & 239 & 0.93359375 & NOK \tabularnewline
5% type I error level & 243 & 0.94921875 & NOK \tabularnewline
10% type I error level & 246 & 0.9609375 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189751&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]239[/C][C]0.93359375[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]243[/C][C]0.94921875[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]246[/C][C]0.9609375[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189751&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189751&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 testsOK/NOK
1% type I error level2390.93359375NOK
5% type I error level2430.94921875NOK
10% type I error level2460.9609375NOK



Parameters (Session):
par1 = 4 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 4 ; 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')
}