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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 computationTue, 11 Dec 2012 17:02:40 -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/Dec/11/t1355263574oovt9mm4zwgwqny.htm/, Retrieved Thu, 25 Apr 2024 19:32:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=198719, Retrieved Thu, 25 Apr 2024 19:32:41 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact85
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataseries X:
1418	210907	56	396	81	3	79	30	115	94
869	120982	56	297	55	4	58	28	109	103
1530	176508	54	559	50	12	60	38	146	93
2172	179321	89	967	125	2	108	30	116	103
901	123185	40	270	40	1	49	22	68	51
463	52746	25	143	37	3	0	26	101	70
3201	385534	92	1562	63	0	121	25	96	91
371	33170	18	109	44	0	1	18	67	22
1192	101645	63	371	88	0	20	11	44	38
1583	149061	44	656	66	5	43	26	100	93
1439	165446	33	511	57	0	69	25	93	60
1764	237213	84	655	74	0	78	38	140	123
1495	173326	88	465	49	7	86	44	166	148
1373	133131	55	525	52	7	44	30	99	90
2187	258873	60	885	88	3	104	40	139	124
1491	180083	66	497	36	9	63	34	130	70
4041	324799	154	1436	108	0	158	47	181	168
1706	230964	53	612	43	4	102	30	116	115
2152	236785	119	865	75	3	77	31	116	71
1036	135473	41	385	32	0	82	23	88	66
1882	202925	61	567	44	7	115	36	139	134
1929	215147	58	639	85	0	101	36	135	117
2242	344297	75	963	86	1	80	30	108	108
1220	153935	33	398	56	5	50	25	89	84
1289	132943	40	410	50	7	83	39	156	156
2515	174724	92	966	135	0	123	34	129	120
2147	174415	100	801	63	0	73	31	118	114
2352	225548	112	892	81	5	81	31	118	94
1638	223632	73	513	52	0	105	33	125	120
1222	124817	40	469	44	0	47	25	95	81
1812	221698	45	683	113	0	105	33	126	110
1677	210767	60	643	39	3	94	35	135	133
1579	170266	62	535	73	4	44	42	154	122
1731	260561	75	625	48	1	114	43	165	158
807	84853	31	264	33	4	38	30	113	109
2452	294424	77	992	59	2	107	33	127	124
829	101011	34	238	41	0	30	13	52	39
1940	215641	46	818	69	0	71	32	121	92
2662	325107	99	937	64	0	84	36	136	126
186	7176	17	70	1	0	0	0	0	0
1499	167542	66	507	59	2	59	28	108	70
865	106408	30	260	32	1	33	14	46	37
1793	96560	76	503	129	0	42	17	54	38
2527	265769	146	927	37	2	96	32	124	120
2747	269651	67	1269	31	10	106	30	115	93
1324	149112	56	537	65	6	56	35	128	95
2702	175824	107	910	107	0	57	20	80	77
1383	152871	58	532	74	5	59	28	97	90
1179	111665	34	345	54	4	39	28	104	80
2099	116408	61	918	76	1	34	39	59	31
4308	362301	119	1635	715	2	76	34	125	110
918	78800	42	330	57	2	20	26	82	66
1831	183167	66	557	66	0	91	39	149	138
3373	277965	89	1178	106	8	115	39	149	133
1713	150629	44	740	54	3	85	33	122	113
1438	168809	66	452	32	0	76	28	118	100
496	24188	24	218	20	0	8	4	12	7
2253	329267	259	764	71	8	79	39	144	140
744	65029	17	255	21	5	21	18	67	61
1161	101097	64	454	70	3	30	14	52	41
2352	218946	41	866	112	1	76	29	108	96
2144	244052	68	574	66	5	101	44	166	164
4691	341570	168	1276	190	1	94	21	80	78
1112	103597	43	379	66	1	27	16	60	49
2694	233328	132	825	165	5	92	28	107	102
1973	256462	105	798	56	0	123	35	127	124
1769	206161	71	663	61	12	75	28	107	99
3148	311473	112	1069	53	8	128	38	146	129
2474	235800	94	921	127	8	105	23	84	62
2084	177939	82	858	63	8	55	36	141	73
1954	207176	70	711	38	8	56	32	123	114
1226	196553	57	503	50	2	41	29	111	99
1389	174184	53	382	52	0	72	25	98	70
1496	143246	103	464	42	5	67	27	105	104
2269	187559	121	717	76	8	75	36	135	116
1833	187681	62	690	67	2	114	28	107	91
1268	119016	52	462	50	5	118	23	85	74
1943	182192	52	657	53	12	77	40	155	138
893	73566	32	385	39	6	22	23	88	67
1762	194979	62	577	50	7	66	40	155	151
1403	167488	45	619	77	2	69	28	104	72
1425	143756	46	479	57	0	105	34	132	120
1857	275541	63	817	73	4	116	33	127	115
1840	243199	75	752	34	3	88	28	108	105
1502	182999	88	430	39	6	73	34	129	104
1441	135649	46	451	46	2	99	30	116	108
1420	152299	53	537	63	0	62	33	122	98
1416	120221	37	519	35	1	53	22	85	69
2970	346485	90	1000	106	0	118	38	147	111
1317	145790	63	637	43	5	30	26	99	99
1644	193339	78	465	47	2	100	35	87	71
870	80953	25	437	31	0	49	8	28	27
1654	122774	45	711	162	0	24	24	90	69
1054	130585	46	299	57	5	67	29	109	107
937	112611	41	248	36	0	46	20	78	73
3004	286468	144	1162	263	1	57	29	111	107
2008	241066	82	714	78	0	75	45	158	93
2547	148446	91	905	63	1	135	37	141	129
1885	204713	71	649	54	1	68	33	122	69
1626	182079	63	512	63	2	124	33	124	118
1468	140344	53	472	77	6	33	25	93	73
2445	220516	62	905	79	1	98	32	124	119
1964	243060	63	786	110	4	58	29	112	104
1381	162765	32	489	56	2	68	28	108	107
1369	182613	39	479	56	3	81	28	99	99
1659	232138	62	617	43	0	131	31	117	90
2888	265318	117	925	111	10	110	52	199	197
1290	85574	34	351	71	0	37	21	78	36
2845	310839	92	1144	62	9	130	24	91	85
1982	225060	93	669	56	7	93	41	158	139
1904	232317	54	707	74	0	118	33	126	106
1391	144966	144	458	60	0	39	32	122	50
602	43287	14	214	43	4	13	19	71	64
1743	155754	61	599	68	4	74	20	75	31
1559	164709	109	572	53	0	81	31	115	63
2014	201940	38	897	87	0	109	31	119	92
2143	235454	73	819	46	0	151	32	124	106
2146	220801	75	720	105	1	51	18	72	63
874	99466	50	273	32	0	28	23	91	69
1590	92661	61	508	133	1	40	17	45	41
1590	133328	55	506	79	0	56	20	78	56
1210	61361	77	451	51	0	27	12	39	25
2072	125930	75	699	207	4	37	17	68	65
1281	100750	72	407	67	0	83	30	119	93
1401	224549	50	465	47	4	54	31	117	114
834	82316	32	245	34	4	27	10	39	38
1105	102010	53	370	66	3	28	13	50	44
1272	101523	42	316	76	0	59	22	88	87
1944	243511	71	603	65	0	133	42	155	110
391	22938	10	154	9	0	12	1	0	0
761	41566	35	229	42	5	0	9	36	27
1605	152474	65	577	45	0	106	32	123	83
530	61857	25	192	25	4	23	11	32	30
1988	99923	66	617	115	0	44	25	99	80
1386	132487	41	411	97	0	71	36	136	98
2395	317394	86	975	53	1	116	31	117	82
387	21054	16	146	2	0	4	0	0	0
1742	209641	42	705	52	5	62	24	88	60
620	22648	19	184	44	0	12	13	39	28
449	31414	19	200	22	0	18	8	25	9
800	46698	45	274	35	0	14	13	52	33
1684	131698	65	502	74	0	60	19	75	59
1050	91735	35	382	103	0	7	18	71	49
2699	244749	95	964	144	2	98	33	124	115
1606	184510	49	537	60	7	64	40	151	140
1502	79863	37	438	134	1	29	22	71	49
1204	128423	64	369	89	8	32	38	145	120
1138	97839	38	417	42	2	25	24	87	66
568	38214	34	276	52	0	16	8	27	21
1459	151101	32	514	98	2	48	35	131	124
2158	272458	65	822	99	0	100	43	162	152
1111	172494	52	389	52	0	46	43	165	139
1421	108043	62	466	29	1	45	14	54	38
2833	328107	65	1255	125	3	129	41	159	144
1955	250579	83	694	106	0	130	38	147	120
2922	351067	95	1024	95	3	136	45	170	160
1002	158015	29	400	40	0	59	31	119	114
1060	98866	18	397	140	0	25	13	49	39
956	85439	33	350	43	0	32	28	104	78
2186	229242	247	719	128	4	63	31	120	119
3604	351619	139	1277	142	4	95	40	150	141
1035	84207	29	356	73	11	14	30	112	101
1417	120445	118	457	72	0	36	16	59	56
3261	324598	110	1402	128	0	113	37	136	133
1587	131069	67	600	61	4	47	30	107	83
1424	204271	42	480	73	0	92	35	130	116
1701	165543	65	595	148	1	70	32	115	90
1249	141722	94	436	64	0	19	27	107	36
946	116048	64	230	45	0	50	20	75	50
1926	250047	81	651	58	0	41	18	71	61
3352	299775	95	1367	97	9	91	31	120	97
1641	195838	67	564	50	1	111	31	116	98
2035	173260	63	716	37	3	41	21	79	78
2312	254488	83	747	50	10	120	39	150	117
1369	104389	45	467	105	5	135	41	156	148
1577	136084	30	671	69	0	27	13	51	41
2201	199476	70	861	46	2	87	32	118	105
961	92499	32	319	57	0	25	18	71	55
1900	224330	83	612	52	1	131	39	144	132
1254	135781	31	433	98	2	45	14	47	44
1335	74408	67	434	61	4	29	7	28	21
1597	81240	66	503	89	0	58	17	68	50
207	14688	10	85	0	0	4	0	0	0
1645	181633	70	564	48	2	47	30	110	73
2429	271856	103	824	91	1	109	37	147	86
151	7199	5	74	0	0	7	0	0	0
474	46660	20	259	7	0	12	5	15	13
141	17547	5	69	3	0	0	1	4	4
1639	133368	36	535	54	1	37	16	64	57
872	95227	34	239	70	0	37	32	111	48
1318	152601	48	438	36	2	46	24	85	46
1018	98146	40	459	37	0	15	17	68	48
1383	79619	43	426	123	3	42	11	40	32
1314	59194	31	288	247	6	7	24	80	68
1335	139942	42	498	46	0	54	22	88	87
1403	118612	46	454	72	2	54	12	48	43
910	72880	33	376	41	0	14	19	76	67
616	65475	18	225	24	2	16	13	51	46
1407	99643	55	555	45	1	33	17	67	46
771	71965	35	252	33	1	32	15	59	56
766	77272	59	208	27	2	21	16	61	48
473	49289	19	130	36	1	15	24	76	44
1376	135131	66	481	87	0	38	15	60	60
1232	108446	60	389	90	1	22	17	68	65
1521	89746	36	565	114	3	28	18	71	55
572	44296	25	173	31	0	10	20	76	38
1059	77648	47	278	45	0	31	16	62	52
1544	181528	54	609	69	0	32	16	61	60
1230	134019	53	422	51	0	32	18	67	54
1206	124064	40	445	34	1	43	22	88	86
1205	92630	40	387	60	4	27	8	30	24
1255	121848	39	339	45	0	37	17	64	52
613	52915	14	181	54	0	20	18	68	49
721	81872	45	245	25	0	32	16	64	61
1109	58981	36	384	38	7	0	23	91	61
740	53515	28	212	52	2	5	22	88	81
1126	60812	44	399	67	0	26	13	52	43
728	56375	30	229	74	7	10	13	49	40
689	65490	22	224	38	3	27	16	62	40
592	80949	17	203	30	0	11	16	61	56
995	76302	31	333	26	0	29	20	76	68
1613	104011	55	384	67	6	25	22	88	79
2048	98104	54	636	132	2	55	17	66	47
705	67989	21	185	42	0	23	18	71	57
301	30989	14	93	35	0	5	17	68	41
1803	135458	81	581	118	3	43	12	48	29
799	73504	35	248	68	0	23	7	25	3
861	63123	43	304	43	1	34	17	68	60
1186	61254	46	344	76	1	36	14	41	30
1451	74914	30	407	64	0	35	23	90	79
628	31774	23	170	48	1	0	17	66	47
1161	81437	38	312	64	0	37	14	54	40
1463	87186	54	507	56	0	28	15	59	48
742	50090	20	224	71	0	16	17	60	36
979	65745	53	340	75	0	26	21	77	42
675	56653	45	168	39	0	38	18	68	49
1241	158399	39	443	42	0	23	18	72	57
676	46455	20	204	39	0	22	17	67	12
1049	73624	24	367	93	0	30	17	64	40
620	38395	31	210	38	0	16	16	63	43
1081	91899	35	335	60	0	18	15	59	33
1688	139526	151	364	71	0	28	21	84	77
736	52164	52	178	52	0	32	16	64	43
617	51567	30	206	27	2	21	14	56	45
812	70551	31	279	59	0	23	15	54	47
1051	84856	29	387	40	1	29	17	67	43
1656	102538	57	490	79	1	50	15	58	45
705	86678	40	238	44	0	12	15	59	50
945	85709	44	343	65	0	21	10	40	35
554	34662	25	232	10	0	18	6	22	7
1597	150580	77	530	124	0	27	22	83	71
982	99611	35	291	81	0	41	21	81	67
222	19349	11	67	15	0	13	1	2	0
1212	99373	63	397	92	1	12	18	72	62
1143	86230	44	467	42	0	21	17	61	54
435	30837	19	178	10	0	8	4	15	4
532	31706	13	175	24	0	26	10	32	25
882	89806	42	299	64	0	27	16	62	40
608	62088	38	154	45	1	13	16	58	38
459	40151	29	106	22	0	16	9	36	19
578	27634	20	189	56	0	2	16	59	17
826	76990	27	194	94	0	42	17	68	67
509	37460	20	135	19	0	5	7	21	14
717	54157	19	201	35	0	37	15	55	30
637	49862	37	207	32	0	17	14	54	54
857	84337	26	280	35	0	38	14	55	35
830	64175	42	260	48	0	37	18	72	59
652	59382	49	227	49	0	29	12	41	24
707	119308	30	239	48	0	32	16	61	58
954	76702	49	333	62	0	35	21	67	42
1461	103425	67	428	96	1	17	19	76	46
672	70344	28	230	45	0	20	16	64	61
778	43410	19	292	63	0	7	1	3	3
1141	104838	49	350	71	1	46	16	63	52
680	62215	27	186	26	0	24	10	40	25
1090	69304	30	326	48	6	40	19	69	40
616	53117	22	155	29	3	3	12	48	32
285	19764	12	75	19	1	10	2	8	4
1145	86680	31	361	45	2	37	14	52	49
733	84105	20	261	45	0	17	17	66	63
888	77945	20	299	67	0	28	19	76	67
849	89113	39	300	30	0	19	14	43	32
1182	91005	29	450	36	3	29	11	39	23
528	40248	16	183	34	1	8	4	14	7
642	64187	27	238	36	0	10	16	61	54
947	50857	21	165	34	0	15	20	71	37
819	56613	19	234	37	1	15	12	44	35
757	62792	35	176	46	0	28	15	60	51
894	72535	14	329	44	0	17	16	64	39





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time18 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 18 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=198719&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]18 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=198719&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198719&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 time18 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.







Multiple Linear Regression - Estimated Regression Equation
time_in_rfc[t] = -11651.9046782155 + 12.0714267837078pageviews[t] + 269.814065182407logins[t] + 135.302408841877compendium_views_info[t] -85.7032294880883compendium_views_pr[t] -847.140145469616shared_compendiums[t] + 392.065482206917blogged_computations[t] -505.900961766511compendiums_reviewed[t] + 363.445568621408feedback_messages_p1[t] + 245.1485067854feedback_messages_p120[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
time_in_rfc[t] =  -11651.9046782155 +  12.0714267837078pageviews[t] +  269.814065182407logins[t] +  135.302408841877compendium_views_info[t] -85.7032294880883compendium_views_pr[t] -847.140145469616shared_compendiums[t] +  392.065482206917blogged_computations[t] -505.900961766511compendiums_reviewed[t] +  363.445568621408feedback_messages_p1[t] +  245.1485067854feedback_messages_p120[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198719&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]time_in_rfc[t] =  -11651.9046782155 +  12.0714267837078pageviews[t] +  269.814065182407logins[t] +  135.302408841877compendium_views_info[t] -85.7032294880883compendium_views_pr[t] -847.140145469616shared_compendiums[t] +  392.065482206917blogged_computations[t] -505.900961766511compendiums_reviewed[t] +  363.445568621408feedback_messages_p1[t] +  245.1485067854feedback_messages_p120[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198719&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198719&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] = -11651.9046782155 + 12.0714267837078pageviews[t] + 269.814065182407logins[t] + 135.302408841877compendium_views_info[t] -85.7032294880883compendium_views_pr[t] -847.140145469616shared_compendiums[t] + 392.065482206917blogged_computations[t] -505.900961766511compendiums_reviewed[t] + 363.445568621408feedback_messages_p1[t] + 245.1485067854feedback_messages_p120[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-11651.90467821554496.833126-2.59110.0100690.005035
pageviews12.071426783707810.3755011.16350.2456390.12282
logins269.81406518240777.5072683.48110.0005790.00029
compendium_views_info135.30240884187722.0187146.144900
compendium_views_pr-85.703229488088341.68741-2.05590.0407270.020363
shared_compendiums-847.140145469616678.541427-1.24850.2129050.106452
blogged_computations392.06548220691790.8014664.31782.2e-051.1e-05
compendiums_reviewed-505.900961766511889.06222-0.5690.5697950.284898
feedback_messages_p1363.445568621408270.0121411.3460.1793840.089692
feedback_messages_p120245.1485067854129.8864411.88740.0601440.030072

\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) & -11651.9046782155 & 4496.833126 & -2.5911 & 0.010069 & 0.005035 \tabularnewline
pageviews & 12.0714267837078 & 10.375501 & 1.1635 & 0.245639 & 0.12282 \tabularnewline
logins & 269.814065182407 & 77.507268 & 3.4811 & 0.000579 & 0.00029 \tabularnewline
compendium_views_info & 135.302408841877 & 22.018714 & 6.1449 & 0 & 0 \tabularnewline
compendium_views_pr & -85.7032294880883 & 41.68741 & -2.0559 & 0.040727 & 0.020363 \tabularnewline
shared_compendiums & -847.140145469616 & 678.541427 & -1.2485 & 0.212905 & 0.106452 \tabularnewline
blogged_computations & 392.065482206917 & 90.801466 & 4.3178 & 2.2e-05 & 1.1e-05 \tabularnewline
compendiums_reviewed & -505.900961766511 & 889.06222 & -0.569 & 0.569795 & 0.284898 \tabularnewline
feedback_messages_p1 & 363.445568621408 & 270.012141 & 1.346 & 0.179384 & 0.089692 \tabularnewline
feedback_messages_p120 & 245.1485067854 & 129.886441 & 1.8874 & 0.060144 & 0.030072 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198719&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]-11651.9046782155[/C][C]4496.833126[/C][C]-2.5911[/C][C]0.010069[/C][C]0.005035[/C][/ROW]
[ROW][C]pageviews[/C][C]12.0714267837078[/C][C]10.375501[/C][C]1.1635[/C][C]0.245639[/C][C]0.12282[/C][/ROW]
[ROW][C]logins[/C][C]269.814065182407[/C][C]77.507268[/C][C]3.4811[/C][C]0.000579[/C][C]0.00029[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]135.302408841877[/C][C]22.018714[/C][C]6.1449[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]-85.7032294880883[/C][C]41.68741[/C][C]-2.0559[/C][C]0.040727[/C][C]0.020363[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]-847.140145469616[/C][C]678.541427[/C][C]-1.2485[/C][C]0.212905[/C][C]0.106452[/C][/ROW]
[ROW][C]blogged_computations[/C][C]392.065482206917[/C][C]90.801466[/C][C]4.3178[/C][C]2.2e-05[/C][C]1.1e-05[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]-505.900961766511[/C][C]889.06222[/C][C]-0.569[/C][C]0.569795[/C][C]0.284898[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]363.445568621408[/C][C]270.012141[/C][C]1.346[/C][C]0.179384[/C][C]0.089692[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]245.1485067854[/C][C]129.886441[/C][C]1.8874[/C][C]0.060144[/C][C]0.030072[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198719&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198719&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)-11651.90467821554496.833126-2.59110.0100690.005035
pageviews12.071426783707810.3755011.16350.2456390.12282
logins269.81406518240777.5072683.48110.0005790.00029
compendium_views_info135.30240884187722.0187146.144900
compendium_views_pr-85.703229488088341.68741-2.05590.0407270.020363
shared_compendiums-847.140145469616678.541427-1.24850.2129050.106452
blogged_computations392.06548220691790.8014664.31782.2e-051.1e-05
compendiums_reviewed-505.900961766511889.06222-0.5690.5697950.284898
feedback_messages_p1363.445568621408270.0121411.3460.1793840.089692
feedback_messages_p120245.1485067854129.8864411.88740.0601440.030072







Multiple Linear Regression - Regression Statistics
Multiple R0.942499319921858
R-squared0.888304968053165
Adjusted R-squared0.884701902506492
F-TEST (value)246.54143993401
F-TEST (DF numerator)9
F-TEST (DF denominator)279
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation27958.8174569858
Sum Squared Residuals218093037132.461

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.942499319921858 \tabularnewline
R-squared & 0.888304968053165 \tabularnewline
Adjusted R-squared & 0.884701902506492 \tabularnewline
F-TEST (value) & 246.54143993401 \tabularnewline
F-TEST (DF numerator) & 9 \tabularnewline
F-TEST (DF denominator) & 279 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 27958.8174569858 \tabularnewline
Sum Squared Residuals & 218093037132.461 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198719&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.942499319921858[/C][/ROW]
[ROW][C]R-squared[/C][C]0.888304968053165[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.884701902506492[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]246.54143993401[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]9[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]279[/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]27958.8174569858[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]218093037132.461[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198719&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198719&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 R0.942499319921858
R-squared0.888304968053165
Adjusted R-squared0.884701902506492
F-TEST (value)246.54143993401
F-TEST (DF numerator)9
F-TEST (DF denominator)279
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation27958.8174569858
Sum Squared Residuals218093037132.461







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907145307.68229837765599.3177016231
2120982119470.7642865241511.23571347599
3176508162732.09767833213775.9023216677
4179321251586.956854708-72265.9568547081
512318587571.65450510235613.345494898
65274655033.2949889327-2287.29498893267
7385534349746.37361447835787.6263855223
83317029690.2367154353479.76328456497
910164589974.478981734311670.5210182657
10149061161044.00783728-11983.0078372805
11165446141791.53196896723654.468031033
12237213206980.02945949230232.9705405084
13173326190996.62949521-17670.62949521
14133131140527.48283948-7396.48283947968
15258873242052.59736102316820.4026389773
16180083152597.85265668227485.1473433177
17324799408856.005351149-84057.0053511492
18230964194138.78420333536825.2157966654
19236785228572.4427742568212.55722574422
20135473129942.0531095465530.94689045396
21202925204784.650980251-1859.65098025089
22215147205590.2642486949556.7357513055
23344297239643.260760314104653.739239686
24153935116689.25753277537245.7424672245
25132943167711.5454635-34768.5454635003
26174724269988.539417751-95264.5394177514
27174415227996.138426445-53581.1384264446
28225548238476.263767718-12928.2637677181
29223632192091.74773967131540.2522603286
30124817133741.74079635-8924.74079634967
31221698202322.85518004219375.1448199578
32210767206713.849279864053.15072013983
33170266168761.018868891504.98113110976
34260561230726.60684859329834.3931514073
3584853103469.037500857-18616.0375008568
36294424268004.41246904126419.5875309594
3710101169862.340533221931148.6594667781
38215641207120.3527661568520.64723384437
39325107263525.55133993361581.4486600673
4071764565.685201098372610.31479890163
41167542151477.59623153216064.4037684676
4210640870117.822610705236290.1773892948
4396560124307.565408397-27747.5654083973
44265769274740.004373905-8971.00437390532
45269651291133.366098808-21482.3660988081
46149112155503.369062086-6391.36906208568
47175824223971.935719416-48147.9357194157
48152871148379.4584263524491.54157364764
49111665108952.3283482562712.67165174389
50116408169634.684992345-53226.6849923445
51362301315700.40051598546600.5994840149
527880089502.5091059495-10702.5091059495
53183167201897.339676415-18730.3396764146
54277965308718.577862652-30753.5778626515
55150629202525.63087238-51896.6308723803
56168809164961.8982858343847.10171416567
572418835783.2274901927-11595.2274901927
58329267273835.84106239655431.1589376043
596502968814.7914911366-3785.79149113655
60101097106147.378450971-5050.37845097142
61218946212440.6788174816505.3211825187
62244052218223.35046926525828.6495307353
63341570320246.50539815821323.4946018418
6410359794459.94994859079137.0500514093
65233328235530.350351012-2202.35035101244
66256462250740.9613206095721.03867939103
67206161181569.22849817224591.7715018281
68311473305534.3604320675938.63956793266
69235800225787.20324243810012.796757562
70177939212035.577317552-34096.5773175517
71207176195406.38756321611769.6124367838
72196553146620.45332411449932.5466758863
73174184135003.6566978539180.3433021501
74143246165409.17059188-22163.1705918795
75187559220801.780208784-33242.7802087838
76187681204853.186093972-17172.1860939724
77119016155335.714170932-36319.7141709316
78182192200136.499384599-17944.4993845987
797356696825.9685879703-23259.9685879703
80194979193192.5397809681786.46021903201
81167488161221.0251121256266.97488787508
82143756179244.974045336-35488.9740453357
83275541231794.72234787343746.2776521265
84243199212416.90683090130782.0931690995
85182999163777.85562500619221.1443749937
86135649165812.404434189-30163.4044341894
87152299163025.998094971-10726.9980949706
88120221139257.322769761-19036.3227697609
89346485282378.83844576864106.1615542318
90145790158370.498264911-12580.4982649114
91193339156957.62908371136381.370916289
928095394025.427341552-13072.427341552
93122774149665.254299439-26891.2542994389
94130585122261.1782081618323.82179183871
9511261195352.668315803717258.3316841963
96286468271548.14927731314919.8507226868
97241066211495.92052070729570.0794792931
98148446276929.822733675-128483.822733675
99204713183817.00962935620895.9903706437
100182079193071.933322032-10992.9333220319
101140344124536.75847069115807.2415293087
102220516245895.699872396-25379.6998723962
103243060196856.45962367746203.5403763229
104162765151300.24007508611464.7599249144
105182613150708.57027288431904.4297271164
106232138205163.5572784526974.4427215497
107265318299389.166773623-34071.1667736229
1088557495556.7335401174-9982.73354011741
109310839282100.35212164428738.647878356
110225060224374.513612822685.486387177873
111232317216567.69403457415749.3059654262
112144966156518.492585106-11552.4925851062
1134328758252.2800019375-14965.2800019375
114155754151429.8606960654324.13930393548
115164709182742.860040093-18033.8600400929
116201940229678.8561428-27738.8561428
117235454254849.963227654-19395.9632276543
118220801174562.74636171246238.2536382883
1199946695915.18495398383550.81504601624
12092661113976.718212706-21315.7182127057
121133328137988.619738052-4660.61973805245
12261361105198.772757169-43837.7727571688
123125930153598.459299799-27668.4592997989
124100750155977.409714958-55227.4097149581
125224549150208.54277518674340.4572248143
1268231662913.11396302219402.886036978
12710201091211.158789778110798.8412102219
128101523116590.429101619-15067.4291016189
129243511221185.65785422822325.3421457718
1302293820030.29056701112907.70943298895
1314156645276.9001421903-3710.90014219032
132152474189894.735462317-37420.7354623173
1336185744375.53323604417481.466763956
13499923163975.883943435-64052.8839434354
135132487146514.911900727-14027.9119007265
136317394259415.58459329257978.4154067084
1372105418487.76969076342566.23030923655
138209641166263.198349743377.8016503003
1392264841250.156945323-18602.156945323
1403141438372.0906679687-6958.09066796871
1414669870121.3912127139-23423.3912127139
142131698143428.052724704-11730.0527247041
1439173584779.82653464176955.17346535831
144244749257944.203497045-13195.2034970446
145184510176598.1388932437911.86110675654
14679863101450.570968273-21587.5709682733
147128423131111.360763345-2688.36076334473
14897839108925.181926875-11086.1819268748
1493821454452.2298745598-16238.2298745598
150151101153168.992263902-2067.99226390236
151272458248263.67091936524194.3290806347
152172494154291.2830653418202.7169346602
153108043121450.490740414-13407.4907404144
154328107319558.2987711888548.70122881219
155250579233746.22704596516832.7729540349
156351067308684.45004436342382.5499556366
157158015137606.99328150620408.0067184937
1589886678311.614246978820554.3857530212
15985439107763.638871744-22324.6388717445
160229242246107.502478286-16865.5024782856
161351619332673.38652146118945.6134785387
1628420797037.2008969485-12830.2008969485
163120445134145.481983248-13700.4819832482
164324598343734.941694347-19136.9416943471
165131069160634.030435633-29565.0304356331
166204271169607.45970001434663.540299986
167165543168508.580649042-2965.58064904186
168141722123798.61335060317923.3866493968
16911604893299.771798405122748.2282015949
170250047164290.84517744985756.1548225507
171299775310852.674869197-11077.6748691969
172195838191433.6843432734404.31565672663
173173260174360.367760177-1100.36776017667
174254488237483.06887467717004.9311253226
175104389192133.585002134-87744.5850021338
176136084132949.4191079013134.58089209936
177199476231211.071886225-31735.0718862253
1789249986842.39387519525656.60612480482
179224330227505.945190715-3175.9451907154
18013578198771.456035313437009.5439646866
1817440895798.9671175063-21390.9671175063
18281240136974.622043925-55734.6220439253
183146886613.987998223288074.01200177672
184181633158720.00257862222912.9974213776
185271856246829.56269610425026.4373038959
18671994276.787721783722922.21227821628
1874666044723.52929972141936.47070027858
188175472406.4686856852915140.5313143147
189133368128404.1330913564963.86690864426
1909522784813.285850225110413.7141497749
191152601119755.26321576932845.7367842313
19298146104124.249437286-5978.24943728564
1937961994485.2065049398-14866.2065049398
1945919461638.3205704883-2444.32057048829
195139942142586.736871822-2644.73687182221
196118612114345.6324814234266.36751857699
1977288095520.4428086941-22640.4428086941
1986547556841.52210876718633.47789123294
19999643130526.946798862-30883.9467988622
2007196577648.7038957531-5683.7038957531
2017727271724.73938554575547.26061445433
2024928944988.96083583944300.03916416064
203135131124216.00298745810914.9970125419
204108446104155.2191361784290.78086382221
20589746121715.733639294-31969.7336392938
2064429653488.9617469507-9192.9617469507
2077764886911.3838479004-9263.38384790039
208181528139372.75208109142155.2479189086
209134019111251.59813066222767.4018693376
210124064128942.296815066-4878.29681506557
2119263080843.496621037811786.5033789622
21212184897945.700984120223902.2990158798
2135291554848.7062918556-1933.70629185556
2148187282865.9917431405-993.991743140499
2155898190609.918765757-31628.918765757
2165351570039.7527574665-16524.7527574665
2176081295113.430894973-34301.430894973
2185637548901.46305314957473.53694685049
2196549061941.73239066233548.26760933773
2208094957093.312177999123855.6878220009
2217630297094.6605951877-20792.6605951878
222104011113812.006026739-9801.00602673896
22398104149158.234854011-51054.2348540114
2246798963645.34560822634343.65439177373
2253098933467.9011919068-2478.90119190678
226135458133266.8132980152191.18670198461
2277350450461.619485231723042.3805147683
2286312391096.2709782579-27973.2709782579
2296125483547.1649524516-22293.1649524516
23074914117704.634220409-42790.6342204087
2313177447084.2601812657-15310.2601812657
2328143786201.1115199255-4764.11151992552
23387186120977.228607356-33791.228607356
2345009055228.9973127089-5138.99731270889
2356574591892.5728014519-26147.5728014519
2365665370545.1665802015-13892.1665802015
237158399110243.75058740348155.2494125973
2384645553481.6860225072-7026.68602250721
2397362485400.2480642114-11776.2480642113
2403839560970.4880265522-22575.4880265522
2419189980026.766674908511872.2333250915
242139526142391.511191387-2865.51119138672
2435216469143.8398904516-16979.8398904516
2445156760290.0126468694-8723.01264686943
2457055171784.2436066276-1233.2436066276
2468485694608.3571819409-9752.35718194092
247102538126524.550317726-23986.5503177258
2488667866899.030266404119778.9697335959
2498570978757.81480747786951.18519252217
2503466246047.7589122476-11385.7589122476
251150580136512.39618214714067.6038178531
2529961193391.57367556366219.42632443639
253193497093.4611790247512255.5388209753
25499373101926.026578103-2553.02657810345
25586230108645.502122877-22415.5021228774
2563083729497.62725718831339.37274281165
2573170642792.3850429375-11086.3850429375
2588980680128.61619642539677.38380357466
2596208849471.164890738412616.8351092616
2604015133631.87355300266519.12644699744
2612763439794.9644663621-12160.9644663621
2627699072802.31987203344187.68012796663
2633746026009.653406433811450.3465935662
2645415760587.8166022006-6430.81660220063
2654986263732.3896861592-13870.3896861592
2668433776979.11408460537357.88591539472
2676417586796.4899443216-22621.4899443216
2685938262037.6632600195-2655.66326001946
26911930874041.009832934845266.9901670652
2707670290572.6896462298-13870.6896462298
271103425108848.462479309-5423.46247930945
2727034469239.2662137651104.73378623503
2734341041039.47216195572370.52783804425
274104838101351.646100713486.35389929037
2756221551796.706742321810418.2932576782
2766930485466.5473867103-16162.5473867103
2775311738060.58734987215056.412650128
278197649495.4113693765810268.5886306234
2798668092162.6147615215-5482.61476152155
2808410571546.576142636412558.4238573636
2817794584589.6358754633-6644.63587546329
2828911370978.653336240418134.3466637596
2839100591318.2581881496-313.258188149632
2844024827955.322095286412292.6779047136
2856418763734.026605768452.973394232048
2865085755494.9126320544-4637.91263205436
2875661355385.63857731381227.36142268616
2886279264499.1601167897-1707.16011678974
2897253575052.9041561288-2517.90415612877

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 210907 & 145307.682298377 & 65599.3177016231 \tabularnewline
2 & 120982 & 119470.764286524 & 1511.23571347599 \tabularnewline
3 & 176508 & 162732.097678332 & 13775.9023216677 \tabularnewline
4 & 179321 & 251586.956854708 & -72265.9568547081 \tabularnewline
5 & 123185 & 87571.654505102 & 35613.345494898 \tabularnewline
6 & 52746 & 55033.2949889327 & -2287.29498893267 \tabularnewline
7 & 385534 & 349746.373614478 & 35787.6263855223 \tabularnewline
8 & 33170 & 29690.236715435 & 3479.76328456497 \tabularnewline
9 & 101645 & 89974.4789817343 & 11670.5210182657 \tabularnewline
10 & 149061 & 161044.00783728 & -11983.0078372805 \tabularnewline
11 & 165446 & 141791.531968967 & 23654.468031033 \tabularnewline
12 & 237213 & 206980.029459492 & 30232.9705405084 \tabularnewline
13 & 173326 & 190996.62949521 & -17670.62949521 \tabularnewline
14 & 133131 & 140527.48283948 & -7396.48283947968 \tabularnewline
15 & 258873 & 242052.597361023 & 16820.4026389773 \tabularnewline
16 & 180083 & 152597.852656682 & 27485.1473433177 \tabularnewline
17 & 324799 & 408856.005351149 & -84057.0053511492 \tabularnewline
18 & 230964 & 194138.784203335 & 36825.2157966654 \tabularnewline
19 & 236785 & 228572.442774256 & 8212.55722574422 \tabularnewline
20 & 135473 & 129942.053109546 & 5530.94689045396 \tabularnewline
21 & 202925 & 204784.650980251 & -1859.65098025089 \tabularnewline
22 & 215147 & 205590.264248694 & 9556.7357513055 \tabularnewline
23 & 344297 & 239643.260760314 & 104653.739239686 \tabularnewline
24 & 153935 & 116689.257532775 & 37245.7424672245 \tabularnewline
25 & 132943 & 167711.5454635 & -34768.5454635003 \tabularnewline
26 & 174724 & 269988.539417751 & -95264.5394177514 \tabularnewline
27 & 174415 & 227996.138426445 & -53581.1384264446 \tabularnewline
28 & 225548 & 238476.263767718 & -12928.2637677181 \tabularnewline
29 & 223632 & 192091.747739671 & 31540.2522603286 \tabularnewline
30 & 124817 & 133741.74079635 & -8924.74079634967 \tabularnewline
31 & 221698 & 202322.855180042 & 19375.1448199578 \tabularnewline
32 & 210767 & 206713.84927986 & 4053.15072013983 \tabularnewline
33 & 170266 & 168761.01886889 & 1504.98113110976 \tabularnewline
34 & 260561 & 230726.606848593 & 29834.3931514073 \tabularnewline
35 & 84853 & 103469.037500857 & -18616.0375008568 \tabularnewline
36 & 294424 & 268004.412469041 & 26419.5875309594 \tabularnewline
37 & 101011 & 69862.3405332219 & 31148.6594667781 \tabularnewline
38 & 215641 & 207120.352766156 & 8520.64723384437 \tabularnewline
39 & 325107 & 263525.551339933 & 61581.4486600673 \tabularnewline
40 & 7176 & 4565.68520109837 & 2610.31479890163 \tabularnewline
41 & 167542 & 151477.596231532 & 16064.4037684676 \tabularnewline
42 & 106408 & 70117.8226107052 & 36290.1773892948 \tabularnewline
43 & 96560 & 124307.565408397 & -27747.5654083973 \tabularnewline
44 & 265769 & 274740.004373905 & -8971.00437390532 \tabularnewline
45 & 269651 & 291133.366098808 & -21482.3660988081 \tabularnewline
46 & 149112 & 155503.369062086 & -6391.36906208568 \tabularnewline
47 & 175824 & 223971.935719416 & -48147.9357194157 \tabularnewline
48 & 152871 & 148379.458426352 & 4491.54157364764 \tabularnewline
49 & 111665 & 108952.328348256 & 2712.67165174389 \tabularnewline
50 & 116408 & 169634.684992345 & -53226.6849923445 \tabularnewline
51 & 362301 & 315700.400515985 & 46600.5994840149 \tabularnewline
52 & 78800 & 89502.5091059495 & -10702.5091059495 \tabularnewline
53 & 183167 & 201897.339676415 & -18730.3396764146 \tabularnewline
54 & 277965 & 308718.577862652 & -30753.5778626515 \tabularnewline
55 & 150629 & 202525.63087238 & -51896.6308723803 \tabularnewline
56 & 168809 & 164961.898285834 & 3847.10171416567 \tabularnewline
57 & 24188 & 35783.2274901927 & -11595.2274901927 \tabularnewline
58 & 329267 & 273835.841062396 & 55431.1589376043 \tabularnewline
59 & 65029 & 68814.7914911366 & -3785.79149113655 \tabularnewline
60 & 101097 & 106147.378450971 & -5050.37845097142 \tabularnewline
61 & 218946 & 212440.678817481 & 6505.3211825187 \tabularnewline
62 & 244052 & 218223.350469265 & 25828.6495307353 \tabularnewline
63 & 341570 & 320246.505398158 & 21323.4946018418 \tabularnewline
64 & 103597 & 94459.9499485907 & 9137.0500514093 \tabularnewline
65 & 233328 & 235530.350351012 & -2202.35035101244 \tabularnewline
66 & 256462 & 250740.961320609 & 5721.03867939103 \tabularnewline
67 & 206161 & 181569.228498172 & 24591.7715018281 \tabularnewline
68 & 311473 & 305534.360432067 & 5938.63956793266 \tabularnewline
69 & 235800 & 225787.203242438 & 10012.796757562 \tabularnewline
70 & 177939 & 212035.577317552 & -34096.5773175517 \tabularnewline
71 & 207176 & 195406.387563216 & 11769.6124367838 \tabularnewline
72 & 196553 & 146620.453324114 & 49932.5466758863 \tabularnewline
73 & 174184 & 135003.65669785 & 39180.3433021501 \tabularnewline
74 & 143246 & 165409.17059188 & -22163.1705918795 \tabularnewline
75 & 187559 & 220801.780208784 & -33242.7802087838 \tabularnewline
76 & 187681 & 204853.186093972 & -17172.1860939724 \tabularnewline
77 & 119016 & 155335.714170932 & -36319.7141709316 \tabularnewline
78 & 182192 & 200136.499384599 & -17944.4993845987 \tabularnewline
79 & 73566 & 96825.9685879703 & -23259.9685879703 \tabularnewline
80 & 194979 & 193192.539780968 & 1786.46021903201 \tabularnewline
81 & 167488 & 161221.025112125 & 6266.97488787508 \tabularnewline
82 & 143756 & 179244.974045336 & -35488.9740453357 \tabularnewline
83 & 275541 & 231794.722347873 & 43746.2776521265 \tabularnewline
84 & 243199 & 212416.906830901 & 30782.0931690995 \tabularnewline
85 & 182999 & 163777.855625006 & 19221.1443749937 \tabularnewline
86 & 135649 & 165812.404434189 & -30163.4044341894 \tabularnewline
87 & 152299 & 163025.998094971 & -10726.9980949706 \tabularnewline
88 & 120221 & 139257.322769761 & -19036.3227697609 \tabularnewline
89 & 346485 & 282378.838445768 & 64106.1615542318 \tabularnewline
90 & 145790 & 158370.498264911 & -12580.4982649114 \tabularnewline
91 & 193339 & 156957.629083711 & 36381.370916289 \tabularnewline
92 & 80953 & 94025.427341552 & -13072.427341552 \tabularnewline
93 & 122774 & 149665.254299439 & -26891.2542994389 \tabularnewline
94 & 130585 & 122261.178208161 & 8323.82179183871 \tabularnewline
95 & 112611 & 95352.6683158037 & 17258.3316841963 \tabularnewline
96 & 286468 & 271548.149277313 & 14919.8507226868 \tabularnewline
97 & 241066 & 211495.920520707 & 29570.0794792931 \tabularnewline
98 & 148446 & 276929.822733675 & -128483.822733675 \tabularnewline
99 & 204713 & 183817.009629356 & 20895.9903706437 \tabularnewline
100 & 182079 & 193071.933322032 & -10992.9333220319 \tabularnewline
101 & 140344 & 124536.758470691 & 15807.2415293087 \tabularnewline
102 & 220516 & 245895.699872396 & -25379.6998723962 \tabularnewline
103 & 243060 & 196856.459623677 & 46203.5403763229 \tabularnewline
104 & 162765 & 151300.240075086 & 11464.7599249144 \tabularnewline
105 & 182613 & 150708.570272884 & 31904.4297271164 \tabularnewline
106 & 232138 & 205163.55727845 & 26974.4427215497 \tabularnewline
107 & 265318 & 299389.166773623 & -34071.1667736229 \tabularnewline
108 & 85574 & 95556.7335401174 & -9982.73354011741 \tabularnewline
109 & 310839 & 282100.352121644 & 28738.647878356 \tabularnewline
110 & 225060 & 224374.513612822 & 685.486387177873 \tabularnewline
111 & 232317 & 216567.694034574 & 15749.3059654262 \tabularnewline
112 & 144966 & 156518.492585106 & -11552.4925851062 \tabularnewline
113 & 43287 & 58252.2800019375 & -14965.2800019375 \tabularnewline
114 & 155754 & 151429.860696065 & 4324.13930393548 \tabularnewline
115 & 164709 & 182742.860040093 & -18033.8600400929 \tabularnewline
116 & 201940 & 229678.8561428 & -27738.8561428 \tabularnewline
117 & 235454 & 254849.963227654 & -19395.9632276543 \tabularnewline
118 & 220801 & 174562.746361712 & 46238.2536382883 \tabularnewline
119 & 99466 & 95915.1849539838 & 3550.81504601624 \tabularnewline
120 & 92661 & 113976.718212706 & -21315.7182127057 \tabularnewline
121 & 133328 & 137988.619738052 & -4660.61973805245 \tabularnewline
122 & 61361 & 105198.772757169 & -43837.7727571688 \tabularnewline
123 & 125930 & 153598.459299799 & -27668.4592997989 \tabularnewline
124 & 100750 & 155977.409714958 & -55227.4097149581 \tabularnewline
125 & 224549 & 150208.542775186 & 74340.4572248143 \tabularnewline
126 & 82316 & 62913.113963022 & 19402.886036978 \tabularnewline
127 & 102010 & 91211.1587897781 & 10798.8412102219 \tabularnewline
128 & 101523 & 116590.429101619 & -15067.4291016189 \tabularnewline
129 & 243511 & 221185.657854228 & 22325.3421457718 \tabularnewline
130 & 22938 & 20030.2905670111 & 2907.70943298895 \tabularnewline
131 & 41566 & 45276.9001421903 & -3710.90014219032 \tabularnewline
132 & 152474 & 189894.735462317 & -37420.7354623173 \tabularnewline
133 & 61857 & 44375.533236044 & 17481.466763956 \tabularnewline
134 & 99923 & 163975.883943435 & -64052.8839434354 \tabularnewline
135 & 132487 & 146514.911900727 & -14027.9119007265 \tabularnewline
136 & 317394 & 259415.584593292 & 57978.4154067084 \tabularnewline
137 & 21054 & 18487.7696907634 & 2566.23030923655 \tabularnewline
138 & 209641 & 166263.1983497 & 43377.8016503003 \tabularnewline
139 & 22648 & 41250.156945323 & -18602.156945323 \tabularnewline
140 & 31414 & 38372.0906679687 & -6958.09066796871 \tabularnewline
141 & 46698 & 70121.3912127139 & -23423.3912127139 \tabularnewline
142 & 131698 & 143428.052724704 & -11730.0527247041 \tabularnewline
143 & 91735 & 84779.8265346417 & 6955.17346535831 \tabularnewline
144 & 244749 & 257944.203497045 & -13195.2034970446 \tabularnewline
145 & 184510 & 176598.138893243 & 7911.86110675654 \tabularnewline
146 & 79863 & 101450.570968273 & -21587.5709682733 \tabularnewline
147 & 128423 & 131111.360763345 & -2688.36076334473 \tabularnewline
148 & 97839 & 108925.181926875 & -11086.1819268748 \tabularnewline
149 & 38214 & 54452.2298745598 & -16238.2298745598 \tabularnewline
150 & 151101 & 153168.992263902 & -2067.99226390236 \tabularnewline
151 & 272458 & 248263.670919365 & 24194.3290806347 \tabularnewline
152 & 172494 & 154291.28306534 & 18202.7169346602 \tabularnewline
153 & 108043 & 121450.490740414 & -13407.4907404144 \tabularnewline
154 & 328107 & 319558.298771188 & 8548.70122881219 \tabularnewline
155 & 250579 & 233746.227045965 & 16832.7729540349 \tabularnewline
156 & 351067 & 308684.450044363 & 42382.5499556366 \tabularnewline
157 & 158015 & 137606.993281506 & 20408.0067184937 \tabularnewline
158 & 98866 & 78311.6142469788 & 20554.3857530212 \tabularnewline
159 & 85439 & 107763.638871744 & -22324.6388717445 \tabularnewline
160 & 229242 & 246107.502478286 & -16865.5024782856 \tabularnewline
161 & 351619 & 332673.386521461 & 18945.6134785387 \tabularnewline
162 & 84207 & 97037.2008969485 & -12830.2008969485 \tabularnewline
163 & 120445 & 134145.481983248 & -13700.4819832482 \tabularnewline
164 & 324598 & 343734.941694347 & -19136.9416943471 \tabularnewline
165 & 131069 & 160634.030435633 & -29565.0304356331 \tabularnewline
166 & 204271 & 169607.459700014 & 34663.540299986 \tabularnewline
167 & 165543 & 168508.580649042 & -2965.58064904186 \tabularnewline
168 & 141722 & 123798.613350603 & 17923.3866493968 \tabularnewline
169 & 116048 & 93299.7717984051 & 22748.2282015949 \tabularnewline
170 & 250047 & 164290.845177449 & 85756.1548225507 \tabularnewline
171 & 299775 & 310852.674869197 & -11077.6748691969 \tabularnewline
172 & 195838 & 191433.684343273 & 4404.31565672663 \tabularnewline
173 & 173260 & 174360.367760177 & -1100.36776017667 \tabularnewline
174 & 254488 & 237483.068874677 & 17004.9311253226 \tabularnewline
175 & 104389 & 192133.585002134 & -87744.5850021338 \tabularnewline
176 & 136084 & 132949.419107901 & 3134.58089209936 \tabularnewline
177 & 199476 & 231211.071886225 & -31735.0718862253 \tabularnewline
178 & 92499 & 86842.3938751952 & 5656.60612480482 \tabularnewline
179 & 224330 & 227505.945190715 & -3175.9451907154 \tabularnewline
180 & 135781 & 98771.4560353134 & 37009.5439646866 \tabularnewline
181 & 74408 & 95798.9671175063 & -21390.9671175063 \tabularnewline
182 & 81240 & 136974.622043925 & -55734.6220439253 \tabularnewline
183 & 14688 & 6613.98799822328 & 8074.01200177672 \tabularnewline
184 & 181633 & 158720.002578622 & 22912.9974213776 \tabularnewline
185 & 271856 & 246829.562696104 & 25026.4373038959 \tabularnewline
186 & 7199 & 4276.78772178372 & 2922.21227821628 \tabularnewline
187 & 46660 & 44723.5292997214 & 1936.47070027858 \tabularnewline
188 & 17547 & 2406.46868568529 & 15140.5313143147 \tabularnewline
189 & 133368 & 128404.133091356 & 4963.86690864426 \tabularnewline
190 & 95227 & 84813.2858502251 & 10413.7141497749 \tabularnewline
191 & 152601 & 119755.263215769 & 32845.7367842313 \tabularnewline
192 & 98146 & 104124.249437286 & -5978.24943728564 \tabularnewline
193 & 79619 & 94485.2065049398 & -14866.2065049398 \tabularnewline
194 & 59194 & 61638.3205704883 & -2444.32057048829 \tabularnewline
195 & 139942 & 142586.736871822 & -2644.73687182221 \tabularnewline
196 & 118612 & 114345.632481423 & 4266.36751857699 \tabularnewline
197 & 72880 & 95520.4428086941 & -22640.4428086941 \tabularnewline
198 & 65475 & 56841.5221087671 & 8633.47789123294 \tabularnewline
199 & 99643 & 130526.946798862 & -30883.9467988622 \tabularnewline
200 & 71965 & 77648.7038957531 & -5683.7038957531 \tabularnewline
201 & 77272 & 71724.7393855457 & 5547.26061445433 \tabularnewline
202 & 49289 & 44988.9608358394 & 4300.03916416064 \tabularnewline
203 & 135131 & 124216.002987458 & 10914.9970125419 \tabularnewline
204 & 108446 & 104155.219136178 & 4290.78086382221 \tabularnewline
205 & 89746 & 121715.733639294 & -31969.7336392938 \tabularnewline
206 & 44296 & 53488.9617469507 & -9192.9617469507 \tabularnewline
207 & 77648 & 86911.3838479004 & -9263.38384790039 \tabularnewline
208 & 181528 & 139372.752081091 & 42155.2479189086 \tabularnewline
209 & 134019 & 111251.598130662 & 22767.4018693376 \tabularnewline
210 & 124064 & 128942.296815066 & -4878.29681506557 \tabularnewline
211 & 92630 & 80843.4966210378 & 11786.5033789622 \tabularnewline
212 & 121848 & 97945.7009841202 & 23902.2990158798 \tabularnewline
213 & 52915 & 54848.7062918556 & -1933.70629185556 \tabularnewline
214 & 81872 & 82865.9917431405 & -993.991743140499 \tabularnewline
215 & 58981 & 90609.918765757 & -31628.918765757 \tabularnewline
216 & 53515 & 70039.7527574665 & -16524.7527574665 \tabularnewline
217 & 60812 & 95113.430894973 & -34301.430894973 \tabularnewline
218 & 56375 & 48901.4630531495 & 7473.53694685049 \tabularnewline
219 & 65490 & 61941.7323906623 & 3548.26760933773 \tabularnewline
220 & 80949 & 57093.3121779991 & 23855.6878220009 \tabularnewline
221 & 76302 & 97094.6605951877 & -20792.6605951878 \tabularnewline
222 & 104011 & 113812.006026739 & -9801.00602673896 \tabularnewline
223 & 98104 & 149158.234854011 & -51054.2348540114 \tabularnewline
224 & 67989 & 63645.3456082263 & 4343.65439177373 \tabularnewline
225 & 30989 & 33467.9011919068 & -2478.90119190678 \tabularnewline
226 & 135458 & 133266.813298015 & 2191.18670198461 \tabularnewline
227 & 73504 & 50461.6194852317 & 23042.3805147683 \tabularnewline
228 & 63123 & 91096.2709782579 & -27973.2709782579 \tabularnewline
229 & 61254 & 83547.1649524516 & -22293.1649524516 \tabularnewline
230 & 74914 & 117704.634220409 & -42790.6342204087 \tabularnewline
231 & 31774 & 47084.2601812657 & -15310.2601812657 \tabularnewline
232 & 81437 & 86201.1115199255 & -4764.11151992552 \tabularnewline
233 & 87186 & 120977.228607356 & -33791.228607356 \tabularnewline
234 & 50090 & 55228.9973127089 & -5138.99731270889 \tabularnewline
235 & 65745 & 91892.5728014519 & -26147.5728014519 \tabularnewline
236 & 56653 & 70545.1665802015 & -13892.1665802015 \tabularnewline
237 & 158399 & 110243.750587403 & 48155.2494125973 \tabularnewline
238 & 46455 & 53481.6860225072 & -7026.68602250721 \tabularnewline
239 & 73624 & 85400.2480642114 & -11776.2480642113 \tabularnewline
240 & 38395 & 60970.4880265522 & -22575.4880265522 \tabularnewline
241 & 91899 & 80026.7666749085 & 11872.2333250915 \tabularnewline
242 & 139526 & 142391.511191387 & -2865.51119138672 \tabularnewline
243 & 52164 & 69143.8398904516 & -16979.8398904516 \tabularnewline
244 & 51567 & 60290.0126468694 & -8723.01264686943 \tabularnewline
245 & 70551 & 71784.2436066276 & -1233.2436066276 \tabularnewline
246 & 84856 & 94608.3571819409 & -9752.35718194092 \tabularnewline
247 & 102538 & 126524.550317726 & -23986.5503177258 \tabularnewline
248 & 86678 & 66899.0302664041 & 19778.9697335959 \tabularnewline
249 & 85709 & 78757.8148074778 & 6951.18519252217 \tabularnewline
250 & 34662 & 46047.7589122476 & -11385.7589122476 \tabularnewline
251 & 150580 & 136512.396182147 & 14067.6038178531 \tabularnewline
252 & 99611 & 93391.5736755636 & 6219.42632443639 \tabularnewline
253 & 19349 & 7093.46117902475 & 12255.5388209753 \tabularnewline
254 & 99373 & 101926.026578103 & -2553.02657810345 \tabularnewline
255 & 86230 & 108645.502122877 & -22415.5021228774 \tabularnewline
256 & 30837 & 29497.6272571883 & 1339.37274281165 \tabularnewline
257 & 31706 & 42792.3850429375 & -11086.3850429375 \tabularnewline
258 & 89806 & 80128.6161964253 & 9677.38380357466 \tabularnewline
259 & 62088 & 49471.1648907384 & 12616.8351092616 \tabularnewline
260 & 40151 & 33631.8735530026 & 6519.12644699744 \tabularnewline
261 & 27634 & 39794.9644663621 & -12160.9644663621 \tabularnewline
262 & 76990 & 72802.3198720334 & 4187.68012796663 \tabularnewline
263 & 37460 & 26009.6534064338 & 11450.3465935662 \tabularnewline
264 & 54157 & 60587.8166022006 & -6430.81660220063 \tabularnewline
265 & 49862 & 63732.3896861592 & -13870.3896861592 \tabularnewline
266 & 84337 & 76979.1140846053 & 7357.88591539472 \tabularnewline
267 & 64175 & 86796.4899443216 & -22621.4899443216 \tabularnewline
268 & 59382 & 62037.6632600195 & -2655.66326001946 \tabularnewline
269 & 119308 & 74041.0098329348 & 45266.9901670652 \tabularnewline
270 & 76702 & 90572.6896462298 & -13870.6896462298 \tabularnewline
271 & 103425 & 108848.462479309 & -5423.46247930945 \tabularnewline
272 & 70344 & 69239.266213765 & 1104.73378623503 \tabularnewline
273 & 43410 & 41039.4721619557 & 2370.52783804425 \tabularnewline
274 & 104838 & 101351.64610071 & 3486.35389929037 \tabularnewline
275 & 62215 & 51796.7067423218 & 10418.2932576782 \tabularnewline
276 & 69304 & 85466.5473867103 & -16162.5473867103 \tabularnewline
277 & 53117 & 38060.587349872 & 15056.412650128 \tabularnewline
278 & 19764 & 9495.41136937658 & 10268.5886306234 \tabularnewline
279 & 86680 & 92162.6147615215 & -5482.61476152155 \tabularnewline
280 & 84105 & 71546.5761426364 & 12558.4238573636 \tabularnewline
281 & 77945 & 84589.6358754633 & -6644.63587546329 \tabularnewline
282 & 89113 & 70978.6533362404 & 18134.3466637596 \tabularnewline
283 & 91005 & 91318.2581881496 & -313.258188149632 \tabularnewline
284 & 40248 & 27955.3220952864 & 12292.6779047136 \tabularnewline
285 & 64187 & 63734.026605768 & 452.973394232048 \tabularnewline
286 & 50857 & 55494.9126320544 & -4637.91263205436 \tabularnewline
287 & 56613 & 55385.6385773138 & 1227.36142268616 \tabularnewline
288 & 62792 & 64499.1601167897 & -1707.16011678974 \tabularnewline
289 & 72535 & 75052.9041561288 & -2517.90415612877 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198719&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]145307.682298377[/C][C]65599.3177016231[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]119470.764286524[/C][C]1511.23571347599[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]162732.097678332[/C][C]13775.9023216677[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]251586.956854708[/C][C]-72265.9568547081[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]87571.654505102[/C][C]35613.345494898[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]55033.2949889327[/C][C]-2287.29498893267[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]349746.373614478[/C][C]35787.6263855223[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]29690.236715435[/C][C]3479.76328456497[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]89974.4789817343[/C][C]11670.5210182657[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]161044.00783728[/C][C]-11983.0078372805[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]141791.531968967[/C][C]23654.468031033[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]206980.029459492[/C][C]30232.9705405084[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]190996.62949521[/C][C]-17670.62949521[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]140527.48283948[/C][C]-7396.48283947968[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]242052.597361023[/C][C]16820.4026389773[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]152597.852656682[/C][C]27485.1473433177[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]408856.005351149[/C][C]-84057.0053511492[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]194138.784203335[/C][C]36825.2157966654[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]228572.442774256[/C][C]8212.55722574422[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]129942.053109546[/C][C]5530.94689045396[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]204784.650980251[/C][C]-1859.65098025089[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]205590.264248694[/C][C]9556.7357513055[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]239643.260760314[/C][C]104653.739239686[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]116689.257532775[/C][C]37245.7424672245[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]167711.5454635[/C][C]-34768.5454635003[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]269988.539417751[/C][C]-95264.5394177514[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]227996.138426445[/C][C]-53581.1384264446[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]238476.263767718[/C][C]-12928.2637677181[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]192091.747739671[/C][C]31540.2522603286[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]133741.74079635[/C][C]-8924.74079634967[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]202322.855180042[/C][C]19375.1448199578[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]206713.84927986[/C][C]4053.15072013983[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]168761.01886889[/C][C]1504.98113110976[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]230726.606848593[/C][C]29834.3931514073[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]103469.037500857[/C][C]-18616.0375008568[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]268004.412469041[/C][C]26419.5875309594[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]69862.3405332219[/C][C]31148.6594667781[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]207120.352766156[/C][C]8520.64723384437[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]263525.551339933[/C][C]61581.4486600673[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]4565.68520109837[/C][C]2610.31479890163[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]151477.596231532[/C][C]16064.4037684676[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]70117.8226107052[/C][C]36290.1773892948[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]124307.565408397[/C][C]-27747.5654083973[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]274740.004373905[/C][C]-8971.00437390532[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]291133.366098808[/C][C]-21482.3660988081[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]155503.369062086[/C][C]-6391.36906208568[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]223971.935719416[/C][C]-48147.9357194157[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]148379.458426352[/C][C]4491.54157364764[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]108952.328348256[/C][C]2712.67165174389[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]169634.684992345[/C][C]-53226.6849923445[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]315700.400515985[/C][C]46600.5994840149[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]89502.5091059495[/C][C]-10702.5091059495[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]201897.339676415[/C][C]-18730.3396764146[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]308718.577862652[/C][C]-30753.5778626515[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]202525.63087238[/C][C]-51896.6308723803[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]164961.898285834[/C][C]3847.10171416567[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]35783.2274901927[/C][C]-11595.2274901927[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]273835.841062396[/C][C]55431.1589376043[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]68814.7914911366[/C][C]-3785.79149113655[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]106147.378450971[/C][C]-5050.37845097142[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]212440.678817481[/C][C]6505.3211825187[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]218223.350469265[/C][C]25828.6495307353[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]320246.505398158[/C][C]21323.4946018418[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]94459.9499485907[/C][C]9137.0500514093[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]235530.350351012[/C][C]-2202.35035101244[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]250740.961320609[/C][C]5721.03867939103[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]181569.228498172[/C][C]24591.7715018281[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]305534.360432067[/C][C]5938.63956793266[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]225787.203242438[/C][C]10012.796757562[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]212035.577317552[/C][C]-34096.5773175517[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]195406.387563216[/C][C]11769.6124367838[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]146620.453324114[/C][C]49932.5466758863[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]135003.65669785[/C][C]39180.3433021501[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]165409.17059188[/C][C]-22163.1705918795[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]220801.780208784[/C][C]-33242.7802087838[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]204853.186093972[/C][C]-17172.1860939724[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]155335.714170932[/C][C]-36319.7141709316[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]200136.499384599[/C][C]-17944.4993845987[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]96825.9685879703[/C][C]-23259.9685879703[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]193192.539780968[/C][C]1786.46021903201[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]161221.025112125[/C][C]6266.97488787508[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]179244.974045336[/C][C]-35488.9740453357[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]231794.722347873[/C][C]43746.2776521265[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]212416.906830901[/C][C]30782.0931690995[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]163777.855625006[/C][C]19221.1443749937[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]165812.404434189[/C][C]-30163.4044341894[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]163025.998094971[/C][C]-10726.9980949706[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]139257.322769761[/C][C]-19036.3227697609[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]282378.838445768[/C][C]64106.1615542318[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]158370.498264911[/C][C]-12580.4982649114[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]156957.629083711[/C][C]36381.370916289[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]94025.427341552[/C][C]-13072.427341552[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]149665.254299439[/C][C]-26891.2542994389[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]122261.178208161[/C][C]8323.82179183871[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]95352.6683158037[/C][C]17258.3316841963[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]271548.149277313[/C][C]14919.8507226868[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]211495.920520707[/C][C]29570.0794792931[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]276929.822733675[/C][C]-128483.822733675[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]183817.009629356[/C][C]20895.9903706437[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]193071.933322032[/C][C]-10992.9333220319[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]124536.758470691[/C][C]15807.2415293087[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]245895.699872396[/C][C]-25379.6998723962[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]196856.459623677[/C][C]46203.5403763229[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]151300.240075086[/C][C]11464.7599249144[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]150708.570272884[/C][C]31904.4297271164[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]205163.55727845[/C][C]26974.4427215497[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]299389.166773623[/C][C]-34071.1667736229[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]95556.7335401174[/C][C]-9982.73354011741[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]282100.352121644[/C][C]28738.647878356[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]224374.513612822[/C][C]685.486387177873[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]216567.694034574[/C][C]15749.3059654262[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]156518.492585106[/C][C]-11552.4925851062[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]58252.2800019375[/C][C]-14965.2800019375[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]151429.860696065[/C][C]4324.13930393548[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]182742.860040093[/C][C]-18033.8600400929[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]229678.8561428[/C][C]-27738.8561428[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]254849.963227654[/C][C]-19395.9632276543[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]174562.746361712[/C][C]46238.2536382883[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]95915.1849539838[/C][C]3550.81504601624[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]113976.718212706[/C][C]-21315.7182127057[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]137988.619738052[/C][C]-4660.61973805245[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]105198.772757169[/C][C]-43837.7727571688[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]153598.459299799[/C][C]-27668.4592997989[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]155977.409714958[/C][C]-55227.4097149581[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]150208.542775186[/C][C]74340.4572248143[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]62913.113963022[/C][C]19402.886036978[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]91211.1587897781[/C][C]10798.8412102219[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]116590.429101619[/C][C]-15067.4291016189[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]221185.657854228[/C][C]22325.3421457718[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]20030.2905670111[/C][C]2907.70943298895[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]45276.9001421903[/C][C]-3710.90014219032[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]189894.735462317[/C][C]-37420.7354623173[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]44375.533236044[/C][C]17481.466763956[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]163975.883943435[/C][C]-64052.8839434354[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]146514.911900727[/C][C]-14027.9119007265[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]259415.584593292[/C][C]57978.4154067084[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]18487.7696907634[/C][C]2566.23030923655[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]166263.1983497[/C][C]43377.8016503003[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]41250.156945323[/C][C]-18602.156945323[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]38372.0906679687[/C][C]-6958.09066796871[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]70121.3912127139[/C][C]-23423.3912127139[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]143428.052724704[/C][C]-11730.0527247041[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]84779.8265346417[/C][C]6955.17346535831[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]257944.203497045[/C][C]-13195.2034970446[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]176598.138893243[/C][C]7911.86110675654[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]101450.570968273[/C][C]-21587.5709682733[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]131111.360763345[/C][C]-2688.36076334473[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]108925.181926875[/C][C]-11086.1819268748[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]54452.2298745598[/C][C]-16238.2298745598[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]153168.992263902[/C][C]-2067.99226390236[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]248263.670919365[/C][C]24194.3290806347[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]154291.28306534[/C][C]18202.7169346602[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]121450.490740414[/C][C]-13407.4907404144[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]319558.298771188[/C][C]8548.70122881219[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]233746.227045965[/C][C]16832.7729540349[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]308684.450044363[/C][C]42382.5499556366[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]137606.993281506[/C][C]20408.0067184937[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]78311.6142469788[/C][C]20554.3857530212[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]107763.638871744[/C][C]-22324.6388717445[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]246107.502478286[/C][C]-16865.5024782856[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]332673.386521461[/C][C]18945.6134785387[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]97037.2008969485[/C][C]-12830.2008969485[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]134145.481983248[/C][C]-13700.4819832482[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]343734.941694347[/C][C]-19136.9416943471[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]160634.030435633[/C][C]-29565.0304356331[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]169607.459700014[/C][C]34663.540299986[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]168508.580649042[/C][C]-2965.58064904186[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]123798.613350603[/C][C]17923.3866493968[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]93299.7717984051[/C][C]22748.2282015949[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]164290.845177449[/C][C]85756.1548225507[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]310852.674869197[/C][C]-11077.6748691969[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]191433.684343273[/C][C]4404.31565672663[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]174360.367760177[/C][C]-1100.36776017667[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]237483.068874677[/C][C]17004.9311253226[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]192133.585002134[/C][C]-87744.5850021338[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]132949.419107901[/C][C]3134.58089209936[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]231211.071886225[/C][C]-31735.0718862253[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]86842.3938751952[/C][C]5656.60612480482[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]227505.945190715[/C][C]-3175.9451907154[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]98771.4560353134[/C][C]37009.5439646866[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]95798.9671175063[/C][C]-21390.9671175063[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]136974.622043925[/C][C]-55734.6220439253[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]6613.98799822328[/C][C]8074.01200177672[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]158720.002578622[/C][C]22912.9974213776[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]246829.562696104[/C][C]25026.4373038959[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]4276.78772178372[/C][C]2922.21227821628[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]44723.5292997214[/C][C]1936.47070027858[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]2406.46868568529[/C][C]15140.5313143147[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]128404.133091356[/C][C]4963.86690864426[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]84813.2858502251[/C][C]10413.7141497749[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]119755.263215769[/C][C]32845.7367842313[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]104124.249437286[/C][C]-5978.24943728564[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]94485.2065049398[/C][C]-14866.2065049398[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]61638.3205704883[/C][C]-2444.32057048829[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]142586.736871822[/C][C]-2644.73687182221[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]114345.632481423[/C][C]4266.36751857699[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]95520.4428086941[/C][C]-22640.4428086941[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]56841.5221087671[/C][C]8633.47789123294[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]130526.946798862[/C][C]-30883.9467988622[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]77648.7038957531[/C][C]-5683.7038957531[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]71724.7393855457[/C][C]5547.26061445433[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]44988.9608358394[/C][C]4300.03916416064[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]124216.002987458[/C][C]10914.9970125419[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]104155.219136178[/C][C]4290.78086382221[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]121715.733639294[/C][C]-31969.7336392938[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]53488.9617469507[/C][C]-9192.9617469507[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]86911.3838479004[/C][C]-9263.38384790039[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]139372.752081091[/C][C]42155.2479189086[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]111251.598130662[/C][C]22767.4018693376[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]128942.296815066[/C][C]-4878.29681506557[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]80843.4966210378[/C][C]11786.5033789622[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]97945.7009841202[/C][C]23902.2990158798[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]54848.7062918556[/C][C]-1933.70629185556[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]82865.9917431405[/C][C]-993.991743140499[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]90609.918765757[/C][C]-31628.918765757[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]70039.7527574665[/C][C]-16524.7527574665[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]95113.430894973[/C][C]-34301.430894973[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]48901.4630531495[/C][C]7473.53694685049[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]61941.7323906623[/C][C]3548.26760933773[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]57093.3121779991[/C][C]23855.6878220009[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]97094.6605951877[/C][C]-20792.6605951878[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]113812.006026739[/C][C]-9801.00602673896[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]149158.234854011[/C][C]-51054.2348540114[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]63645.3456082263[/C][C]4343.65439177373[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]33467.9011919068[/C][C]-2478.90119190678[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]133266.813298015[/C][C]2191.18670198461[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]50461.6194852317[/C][C]23042.3805147683[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]91096.2709782579[/C][C]-27973.2709782579[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]83547.1649524516[/C][C]-22293.1649524516[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]117704.634220409[/C][C]-42790.6342204087[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]47084.2601812657[/C][C]-15310.2601812657[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]86201.1115199255[/C][C]-4764.11151992552[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]120977.228607356[/C][C]-33791.228607356[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]55228.9973127089[/C][C]-5138.99731270889[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]91892.5728014519[/C][C]-26147.5728014519[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]70545.1665802015[/C][C]-13892.1665802015[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]110243.750587403[/C][C]48155.2494125973[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]53481.6860225072[/C][C]-7026.68602250721[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]85400.2480642114[/C][C]-11776.2480642113[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]60970.4880265522[/C][C]-22575.4880265522[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]80026.7666749085[/C][C]11872.2333250915[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]142391.511191387[/C][C]-2865.51119138672[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]69143.8398904516[/C][C]-16979.8398904516[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]60290.0126468694[/C][C]-8723.01264686943[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]71784.2436066276[/C][C]-1233.2436066276[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]94608.3571819409[/C][C]-9752.35718194092[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]126524.550317726[/C][C]-23986.5503177258[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]66899.0302664041[/C][C]19778.9697335959[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]78757.8148074778[/C][C]6951.18519252217[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]46047.7589122476[/C][C]-11385.7589122476[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]136512.396182147[/C][C]14067.6038178531[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]93391.5736755636[/C][C]6219.42632443639[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]7093.46117902475[/C][C]12255.5388209753[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]101926.026578103[/C][C]-2553.02657810345[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]108645.502122877[/C][C]-22415.5021228774[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]29497.6272571883[/C][C]1339.37274281165[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]42792.3850429375[/C][C]-11086.3850429375[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]80128.6161964253[/C][C]9677.38380357466[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]49471.1648907384[/C][C]12616.8351092616[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]33631.8735530026[/C][C]6519.12644699744[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]39794.9644663621[/C][C]-12160.9644663621[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]72802.3198720334[/C][C]4187.68012796663[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]26009.6534064338[/C][C]11450.3465935662[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]60587.8166022006[/C][C]-6430.81660220063[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]63732.3896861592[/C][C]-13870.3896861592[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]76979.1140846053[/C][C]7357.88591539472[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]86796.4899443216[/C][C]-22621.4899443216[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]62037.6632600195[/C][C]-2655.66326001946[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]74041.0098329348[/C][C]45266.9901670652[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]90572.6896462298[/C][C]-13870.6896462298[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]108848.462479309[/C][C]-5423.46247930945[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]69239.266213765[/C][C]1104.73378623503[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]41039.4721619557[/C][C]2370.52783804425[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]101351.64610071[/C][C]3486.35389929037[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]51796.7067423218[/C][C]10418.2932576782[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]85466.5473867103[/C][C]-16162.5473867103[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]38060.587349872[/C][C]15056.412650128[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]9495.41136937658[/C][C]10268.5886306234[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]92162.6147615215[/C][C]-5482.61476152155[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]71546.5761426364[/C][C]12558.4238573636[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]84589.6358754633[/C][C]-6644.63587546329[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]70978.6533362404[/C][C]18134.3466637596[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]91318.2581881496[/C][C]-313.258188149632[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]27955.3220952864[/C][C]12292.6779047136[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]63734.026605768[/C][C]452.973394232048[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]55494.9126320544[/C][C]-4637.91263205436[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]55385.6385773138[/C][C]1227.36142268616[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]64499.1601167897[/C][C]-1707.16011678974[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]75052.9041561288[/C][C]-2517.90415612877[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198719&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198719&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
1210907145307.68229837765599.3177016231
2120982119470.7642865241511.23571347599
3176508162732.09767833213775.9023216677
4179321251586.956854708-72265.9568547081
512318587571.65450510235613.345494898
65274655033.2949889327-2287.29498893267
7385534349746.37361447835787.6263855223
83317029690.2367154353479.76328456497
910164589974.478981734311670.5210182657
10149061161044.00783728-11983.0078372805
11165446141791.53196896723654.468031033
12237213206980.02945949230232.9705405084
13173326190996.62949521-17670.62949521
14133131140527.48283948-7396.48283947968
15258873242052.59736102316820.4026389773
16180083152597.85265668227485.1473433177
17324799408856.005351149-84057.0053511492
18230964194138.78420333536825.2157966654
19236785228572.4427742568212.55722574422
20135473129942.0531095465530.94689045396
21202925204784.650980251-1859.65098025089
22215147205590.2642486949556.7357513055
23344297239643.260760314104653.739239686
24153935116689.25753277537245.7424672245
25132943167711.5454635-34768.5454635003
26174724269988.539417751-95264.5394177514
27174415227996.138426445-53581.1384264446
28225548238476.263767718-12928.2637677181
29223632192091.74773967131540.2522603286
30124817133741.74079635-8924.74079634967
31221698202322.85518004219375.1448199578
32210767206713.849279864053.15072013983
33170266168761.018868891504.98113110976
34260561230726.60684859329834.3931514073
3584853103469.037500857-18616.0375008568
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1874666044723.52929972141936.47070027858
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191152601119755.26321576932845.7367842313
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1937961994485.2065049398-14866.2065049398
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195139942142586.736871822-2644.73687182221
196118612114345.6324814234266.36751857699
1977288095520.4428086941-22640.4428086941
1986547556841.52210876718633.47789123294
19999643130526.946798862-30883.9467988622
2007196577648.7038957531-5683.7038957531
2017727271724.73938554575547.26061445433
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203135131124216.00298745810914.9970125419
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208181528139372.75208109142155.2479189086
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210124064128942.296815066-4878.29681506557
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21212184897945.700984120223902.2990158798
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2148187282865.9917431405-993.991743140499
2155898190609.918765757-31628.918765757
2165351570039.7527574665-16524.7527574665
2176081295113.430894973-34301.430894973
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2196549061941.73239066233548.26760933773
2208094957093.312177999123855.6878220009
2217630297094.6605951877-20792.6605951878
222104011113812.006026739-9801.00602673896
22398104149158.234854011-51054.2348540114
2246798963645.34560822634343.65439177373
2253098933467.9011919068-2478.90119190678
226135458133266.8132980152191.18670198461
2277350450461.619485231723042.3805147683
2286312391096.2709782579-27973.2709782579
2296125483547.1649524516-22293.1649524516
23074914117704.634220409-42790.6342204087
2313177447084.2601812657-15310.2601812657
2328143786201.1115199255-4764.11151992552
23387186120977.228607356-33791.228607356
2345009055228.9973127089-5138.99731270889
2356574591892.5728014519-26147.5728014519
2365665370545.1665802015-13892.1665802015
237158399110243.75058740348155.2494125973
2384645553481.6860225072-7026.68602250721
2397362485400.2480642114-11776.2480642113
2403839560970.4880265522-22575.4880265522
2419189980026.766674908511872.2333250915
242139526142391.511191387-2865.51119138672
2435216469143.8398904516-16979.8398904516
2445156760290.0126468694-8723.01264686943
2457055171784.2436066276-1233.2436066276
2468485694608.3571819409-9752.35718194092
247102538126524.550317726-23986.5503177258
2488667866899.030266404119778.9697335959
2498570978757.81480747786951.18519252217
2503466246047.7589122476-11385.7589122476
251150580136512.39618214714067.6038178531
2529961193391.57367556366219.42632443639
253193497093.4611790247512255.5388209753
25499373101926.026578103-2553.02657810345
25586230108645.502122877-22415.5021228774
2563083729497.62725718831339.37274281165
2573170642792.3850429375-11086.3850429375
2588980680128.61619642539677.38380357466
2596208849471.164890738412616.8351092616
2604015133631.87355300266519.12644699744
2612763439794.9644663621-12160.9644663621
2627699072802.31987203344187.68012796663
2633746026009.653406433811450.3465935662
2645415760587.8166022006-6430.81660220063
2654986263732.3896861592-13870.3896861592
2668433776979.11408460537357.88591539472
2676417586796.4899443216-22621.4899443216
2685938262037.6632600195-2655.66326001946
26911930874041.009832934845266.9901670652
2707670290572.6896462298-13870.6896462298
271103425108848.462479309-5423.46247930945
2727034469239.2662137651104.73378623503
2734341041039.47216195572370.52783804425
274104838101351.646100713486.35389929037
2756221551796.706742321810418.2932576782
2766930485466.5473867103-16162.5473867103
2775311738060.58734987215056.412650128
278197649495.4113693765810268.5886306234
2798668092162.6147615215-5482.61476152155
2808410571546.576142636412558.4238573636
2817794584589.6358754633-6644.63587546329
2828911370978.653336240418134.3466637596
2839100591318.2581881496-313.258188149632
2844024827955.322095286412292.6779047136
2856418763734.026605768452.973394232048
2865085755494.9126320544-4637.91263205436
2875661355385.63857731381227.36142268616
2886279264499.1601167897-1707.16011678974
2897253575052.9041561288-2517.90415612877







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.8578185172117810.2843629655764370.142181482788219
140.7549924140887750.490015171822450.245007585911225
150.6571931799254080.6856136401491830.342806820074592
160.5400856716216450.919828656756710.459914328378355
170.9590892269477490.08182154610450160.0409107730522508
180.941671791249070.1166564175018590.0583282087509297
190.9334402475963710.1331195048072580.0665597524036288
200.9548501679360040.0902996641279920.045149832063996
210.940064350249220.119871299501560.0599356497507798
220.9157969429782060.1684061140435880.0842030570217941
230.9985652695168630.002869460966273710.00143473048313686
240.9977702844718590.004459431056281660.00222971552814083
250.9973300358617670.00533992827646550.00266996413823275
260.9995051464637970.0009897070724052070.000494853536202604
270.9997582602626830.0004834794746338390.00024173973731692
280.9995874144900420.000825171019916370.000412585509958185
290.9995533665645150.0008932668709697660.000446633435484883
300.9994748887303070.001050222539386370.000525111269693184
310.9994581075146590.001083784970681670.000541892485340835
320.9991154438183670.00176911236326670.000884556181633352
330.9986424747056310.002715050588737120.00135752529436856
340.9986909836703340.002618032659331940.00130901632966597
350.9987076389064580.002584722187083520.00129236109354176
360.9983686245178510.003262750964298510.00163137548214925
370.9977871121923510.00442577561529860.0022128878076493
380.9967692800021780.006461439995644170.00323071999782208
390.9990038267404260.001992346519148940.00099617325957447
400.9991717441900230.001656511619953350.000828255809976676
410.9988125786151880.002374842769623930.00118742138481197
420.9984605461247130.003078907750574940.00153945387528747
430.9980735557866530.003852888426693690.00192644421334684
440.9972209876458060.005558024708387160.00277901235419358
450.9979010235419170.004197952916165640.00209897645808282
460.9970603834099380.005879233180124330.00293961659006217
470.9969458753379970.006108249324006630.00305412466200332
480.9956929041525960.008614191694807350.00430709584740367
490.9942340225798510.01153195484029840.0057659774201492
500.9991317087387680.001736582522463650.000868291261231823
510.99991661597420.0001667680516002428.33840258001208e-05
520.9998846351813270.0002307296373454750.000115364818672737
530.9998583615298570.000283276940285190.000141638470142595
540.9998395410861010.000320917827798110.000160458913899055
550.9999517860050849.64279898319746e-054.82139949159873e-05
560.9999266837845440.0001466324309114967.3316215455748e-05
570.9999134618246920.0001730763506155918.65381753077954e-05
580.9999790919682094.18160635813181e-052.09080317906591e-05
590.9999682411867446.35176265121161e-053.1758813256058e-05
600.9999552111668158.95776663690786e-054.47888331845393e-05
610.9999373811434050.000125237713190596.26188565952948e-05
620.9999375513528780.0001248972942449216.24486471224606e-05
630.9999306488190280.0001387023619434956.93511809717473e-05
640.9998975899371460.0002048201257079890.000102410062853994
650.999857567823410.0002848643531807420.000142432176590371
660.9997919399800340.0004161200399312340.000208060019965617
670.9997575081080910.0004849837838188380.000242491891909419
680.9996564169554910.0006871660890170380.000343583044508519
690.9995293759874840.0009412480250318660.000470624012515933
700.9995528163574620.000894367285076320.00044718364253816
710.9993993280605670.001201343878865490.000600671939432746
720.9996538864738310.0006922270523373370.000346113526168669
730.9997057891643480.000588421671303290.000294210835651645
740.9997017016908030.0005965966183937410.000298298309196871
750.9997400960955950.0005198078088095130.000259903904404756
760.9996848344833750.0006303310332499180.000315165516624959
770.9997456673426180.0005086653147629730.000254332657381487
780.9996800177062830.0006399645874332060.000319982293716603
790.9996626946651150.0006746106697696140.000337305334884807
800.9995253055859080.0009493888281834740.000474694414091737
810.9993450448160290.001309910367940970.000654955183970486
820.9994529945308490.001094010938301710.000547005469150854
830.999664443621310.0006711127573798330.000335556378689916
840.9996649189734440.0006701620531122690.000335081026556134
850.9995864997934890.0008270004130218260.000413500206510913
860.9996020891150740.0007958217698517740.000397910884925887
870.9994813141549350.001037371690129170.000518685845064583
880.9994015391946940.001196921610611360.00059846080530568
890.9998435627858840.0003128744282325160.000156437214116258
900.9997990472215890.0004019055568210850.000200952778410543
910.9998102339102490.000379532179501330.000189766089750665
920.9997576297933760.0004847404132471120.000242370206623556
930.9997483473559990.0005033052880011780.000251652644000589
940.9996588799456090.00068224010878130.00034112005439065
950.9995705769943930.0008588460112143730.000429423005607187
960.9994949153731510.001010169253697960.000505084626848979
970.9994430995741220.001113800851755510.000556900425877757
980.9999997142746665.71450667881193e-072.85725333940596e-07
990.9999996129605537.74078893798329e-073.87039446899164e-07
1000.9999994357768161.12844636704242e-065.64223183521211e-07
1010.9999992180213741.5639572513798e-067.81978625689901e-07
1020.9999991881978931.6236042137384e-068.11802106869202e-07
1030.9999996533874466.93225108701347e-073.46612554350674e-07
1040.9999994879476751.02410464999182e-065.12052324995911e-07
1050.9999995214652469.57069507531997e-074.78534753765998e-07
1060.9999994859931451.02801371002061e-065.14006855010305e-07
1070.999999567905518.64188979767298e-074.32094489883649e-07
1080.9999994116489831.17670203421718e-065.8835101710859e-07
1090.9999994335224821.13295503560544e-065.66477517802721e-07
1100.9999991209971191.75800576304181e-068.79002881520905e-07
1110.9999988206711042.35865779256316e-061.17932889628158e-06
1120.9999984617546673.0764906667812e-061.5382453333906e-06
1130.9999980012806953.99743861070908e-061.99871930535454e-06
1140.9999970493539565.90129208865031e-062.95064604432516e-06
1150.9999963204626847.35907463151519e-063.67953731575759e-06
1160.9999960931395457.81372090987423e-063.90686045493711e-06
1170.9999953697143849.26057123130279e-064.63028561565139e-06
1180.999997713926774.57214646074749e-062.28607323037375e-06
1190.9999965622130156.87557397084094e-063.43778698542047e-06
1200.9999962413351317.51732973846461e-063.75866486923231e-06
1210.9999945153643611.0969271278351e-055.48463563917549e-06
1220.9999976049138634.79017227392619e-062.39508613696309e-06
1230.9999973584310335.28313793472105e-062.64156896736053e-06
1240.999999205582061.58883588035568e-067.94417940177839e-07
1250.9999999482779141.03444172469137e-075.17220862345687e-08
1260.999999934586751.3082649986643e-076.54132499332152e-08
1270.9999999050776221.89844755089579e-079.49223775447894e-08
1280.9999998681308432.63738314214727e-071.31869157107364e-07
1290.9999998373466423.2530671656325e-071.62653358281625e-07
1300.9999997433682175.13263566064844e-072.56631783032422e-07
1310.9999996076678557.84664289515152e-073.92332144757576e-07
1320.9999997724203174.55159366721123e-072.27579683360562e-07
1330.9999996919941676.16011665569563e-073.08005832784781e-07
1340.9999999636897497.26205017288978e-083.63102508644489e-08
1350.9999999487363171.02527365012295e-075.12636825061477e-08
1360.9999999886929772.26140458501626e-081.13070229250813e-08
1370.9999999813952013.72095984090095e-081.86047992045048e-08
1380.999999992621.4760000125634e-087.38000006281698e-09
1390.9999999910188651.79622700111629e-088.98113500558146e-09
1400.9999999857449172.8510166846294e-081.4255083423147e-08
1410.9999999844440763.11118474795608e-081.55559237397804e-08
1420.9999999774902284.50195450642462e-082.25097725321231e-08
1430.9999999654779756.90440503081291e-083.45220251540646e-08
1440.9999999494061991.01187601743757e-075.05938008718784e-08
1450.999999925668841.48662319938321e-077.43311599691603e-08
1460.9999999161578961.67684209068782e-078.3842104534391e-08
1470.9999998766422722.46715455662658e-071.23357727831329e-07
1480.9999998208083533.58383294608868e-071.79191647304434e-07
1490.9999997553177414.89364517303396e-072.44682258651698e-07
1500.9999996137220567.72555887578867e-073.86277943789433e-07
1510.9999995664665598.67066881372287e-074.33533440686144e-07
1520.9999994690140171.06197196524712e-065.30985982623559e-07
1530.9999993089274871.38214502664946e-066.91072513324732e-07
1540.9999990855396471.82892070657632e-069.1446035328816e-07
1550.9999989659097142.06818057245588e-061.03409028622794e-06
1560.9999995944704948.11059012486925e-074.05529506243462e-07
1570.9999996107170367.78565928774281e-073.8928296438714e-07
1580.9999996381610557.23677889384036e-073.61838944692018e-07
1590.9999995750669158.49866171095518e-074.24933085547759e-07
1600.9999993927392391.21452152153351e-066.07260760766755e-07
1610.9999993101737231.37965255371067e-066.89826276855334e-07
1620.9999990187341991.96253160105729e-069.81265800528646e-07
1630.9999988034253052.39314938957692e-061.19657469478846e-06
1640.9999983769659023.24606819506197e-061.62303409753099e-06
1650.9999985520288932.89594221417835e-061.44797110708918e-06
1660.9999993780262611.24394747821445e-066.21973739107224e-07
1670.9999990755159081.84896818482886e-069.24484092414428e-07
1680.9999987535792842.4928414318145e-061.24642071590725e-06
1690.9999985820268292.83594634243574e-061.41797317121787e-06
1700.9999999877433622.45132760463701e-081.22566380231851e-08
1710.9999999797512764.04974479536481e-082.02487239768241e-08
1720.9999999714973225.70053551646433e-082.85026775823217e-08
1730.9999999523818869.52362272926396e-084.76181136463198e-08
1740.9999999807181053.85637892943621e-081.92818946471811e-08
1750.9999999994617471.07650602823892e-095.38253014119461e-10
1760.9999999991081681.78366349394395e-098.91831746971976e-10
1770.999999999315041.36991960109033e-096.84959800545167e-10
1780.9999999988576962.28460859479742e-091.14230429739871e-09
1790.9999999981282873.74342524145268e-091.87171262072634e-09
1800.9999999991584331.68313469815663e-098.41567349078316e-10
1810.9999999989757882.04842393998435e-091.02421196999218e-09
1820.9999999999117351.76529881122768e-108.82649405613841e-11
1830.9999999998368643.2627164040008e-101.6313582020004e-10
1840.9999999998508172.98366925726952e-101.49183462863476e-10
1850.9999999999617177.6565977382663e-113.82829886913315e-11
1860.9999999999312371.37525411642046e-106.8762705821023e-11
1870.9999999998775592.44881531928448e-101.22440765964224e-10
1880.9999999997774344.45132167851778e-102.22566083925889e-10
1890.999999999656646.86719516888507e-103.43359758444254e-10
1900.9999999996272437.45513254580553e-103.72756627290277e-10
1910.9999999999607387.85246539332643e-113.92623269666321e-11
1920.9999999999239871.52026815927362e-107.6013407963681e-11
1930.9999999998768732.46253713620408e-101.23126856810204e-10
1940.999999999764684.7063929002653e-102.35319645013265e-10
1950.9999999995769948.46011126988597e-104.23005563494298e-10
1960.9999999993022941.39541210444853e-096.97706052224266e-10
1970.9999999992477051.50459075726438e-097.52295378632188e-10
1980.9999999986435732.71285454796814e-091.35642727398407e-09
1990.9999999986498192.70036235618714e-091.35018117809357e-09
2000.9999999975804944.8390116932158e-092.4195058466079e-09
2010.9999999955984838.80303492183818e-094.40151746091909e-09
2020.9999999930739261.38521484509581e-086.92607422547905e-09
2030.9999999886893412.26213182110472e-081.13106591055236e-08
2040.9999999797007274.05985459574277e-082.02992729787138e-08
2050.9999999800063293.99873415894916e-081.99936707947458e-08
2060.9999999641647667.16704688086402e-083.58352344043201e-08
2070.9999999388066451.22386710254108e-076.11933551270541e-08
2080.9999999900210491.99579018852777e-089.97895094263884e-09
2090.9999999942332251.15335490595009e-085.76677452975044e-09
2100.9999999900183971.99632067282254e-089.98160336411268e-09
2110.9999999854381212.91237572138496e-081.45618786069248e-08
2120.9999999934456311.31087372208079e-086.55436861040397e-09
2130.9999999873963762.5207248673737e-081.26036243368685e-08
2140.9999999759552654.80894709218467e-082.40447354609233e-08
2150.9999999743931465.1213708154771e-082.56068540773855e-08
2160.9999999712134445.7573112487929e-082.87865562439645e-08
2170.9999999868713732.62572531003769e-081.31286265501885e-08
2180.9999999746242855.07514301202179e-082.53757150601089e-08
2190.9999999552251288.95497443679828e-084.47748721839914e-08
2200.9999999518638479.62723057125619e-084.8136152856281e-08
2210.9999999258807141.48238572504853e-077.41192862524267e-08
2220.999999862205962.75588079729763e-071.37794039864881e-07
2230.9999999582882288.34235450657807e-084.17117725328904e-08
2240.9999999244052641.51189471776476e-077.55947358882381e-08
2250.9999998565668292.8686634276675e-071.43433171383375e-07
2260.9999997400863655.19827269818289e-072.59913634909145e-07
2270.9999997310944745.37811051654056e-072.68905525827028e-07
2280.9999997974167554.05166490477321e-072.0258324523866e-07
2290.9999997151640235.69671954828945e-072.84835977414473e-07
2300.9999999426610041.14677991238931e-075.73389956194657e-08
2310.9999999459916241.0801675196161e-075.40083759808052e-08
2320.9999998903308322.19338335822126e-071.09669167911063e-07
2330.9999999699206086.01587849344132e-083.00793924672066e-08
2340.9999999378748531.24250294080489e-076.21251470402447e-08
2350.9999999147977791.70404441641575e-078.52022208207877e-08
2360.9999998370923643.25815272258518e-071.62907636129259e-07
2370.9999999981913323.6173368151247e-091.80866840756235e-09
2380.9999999963026197.3947615838288e-093.6973807919144e-09
2390.9999999931312941.37374128999092e-086.86870644995458e-09
2400.9999999949809791.00380421652462e-085.01902108262309e-09
2410.999999993623011.27539796407606e-086.37698982038032e-09
2420.9999999846187683.07624636740397e-081.53812318370199e-08
2430.9999999808184513.83630980886229e-081.91815490443114e-08
2440.9999999666173536.67652937103193e-083.33826468551597e-08
2450.9999999256904881.48619024693548e-077.43095123467741e-08
2460.9999998254445083.49110984146848e-071.74555492073424e-07
2470.9999997775140874.44971825571463e-072.22485912785731e-07
2480.9999997129706375.74058725071684e-072.87029362535842e-07
2490.9999993338392551.33232148918213e-066.66160744591064e-07
2500.9999987612594342.4774811325798e-061.2387405662899e-06
2510.9999984515285123.09694297508863e-061.54847148754431e-06
2520.9999968790623276.24187534586507e-063.12093767293253e-06
2530.9999929279827891.41440344217527e-057.07201721087636e-06
2540.9999842373392213.15253215588509e-051.57626607794254e-05
2550.9999844949741823.10100516359675e-051.55050258179838e-05
2560.9999681872825446.36254349123811e-053.18127174561905e-05
2570.9999625534746887.48930506238077e-053.74465253119039e-05
2580.9999429038233160.0001141923533688915.70961766844455e-05
2590.9999087416422840.0001825167154319469.12583577159731e-05
2600.9997993816300870.0004012367398257680.000200618369912884
2610.9995805124957070.0008389750085861550.000419487504293078
2620.9991254965950710.001749006809858460.000874503404929229
2630.9982006584227850.003598683154430520.00179934157721526
2640.9965637778281480.006872444343704880.00343622217185244
2650.9974412152408870.005117569518226830.00255878475911342
2660.99567301969270.008653960614600270.00432698030730014
2670.9975000492222830.004999901555433210.0024999507777166
2680.9955018458150910.008996308369817740.00449815418490887
2690.9999789311043114.21377913773528e-052.10688956886764e-05
2700.9999539809358769.20381282480265e-054.60190641240132e-05
2710.9998409412984640.0003181174030710310.000159058701535516
2720.9994993153675520.001001369264895280.000500684632447639
2730.9986950435120030.002609912975993590.00130495648799679
2740.9958214393666020.008357121266796010.00417856063339801
2750.9892632474485780.0214735051028450.0107367525514225
2760.9665924570759870.06681508584802690.0334075429240135

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
13 & 0.857818517211781 & 0.284362965576437 & 0.142181482788219 \tabularnewline
14 & 0.754992414088775 & 0.49001517182245 & 0.245007585911225 \tabularnewline
15 & 0.657193179925408 & 0.685613640149183 & 0.342806820074592 \tabularnewline
16 & 0.540085671621645 & 0.91982865675671 & 0.459914328378355 \tabularnewline
17 & 0.959089226947749 & 0.0818215461045016 & 0.0409107730522508 \tabularnewline
18 & 0.94167179124907 & 0.116656417501859 & 0.0583282087509297 \tabularnewline
19 & 0.933440247596371 & 0.133119504807258 & 0.0665597524036288 \tabularnewline
20 & 0.954850167936004 & 0.090299664127992 & 0.045149832063996 \tabularnewline
21 & 0.94006435024922 & 0.11987129950156 & 0.0599356497507798 \tabularnewline
22 & 0.915796942978206 & 0.168406114043588 & 0.0842030570217941 \tabularnewline
23 & 0.998565269516863 & 0.00286946096627371 & 0.00143473048313686 \tabularnewline
24 & 0.997770284471859 & 0.00445943105628166 & 0.00222971552814083 \tabularnewline
25 & 0.997330035861767 & 0.0053399282764655 & 0.00266996413823275 \tabularnewline
26 & 0.999505146463797 & 0.000989707072405207 & 0.000494853536202604 \tabularnewline
27 & 0.999758260262683 & 0.000483479474633839 & 0.00024173973731692 \tabularnewline
28 & 0.999587414490042 & 0.00082517101991637 & 0.000412585509958185 \tabularnewline
29 & 0.999553366564515 & 0.000893266870969766 & 0.000446633435484883 \tabularnewline
30 & 0.999474888730307 & 0.00105022253938637 & 0.000525111269693184 \tabularnewline
31 & 0.999458107514659 & 0.00108378497068167 & 0.000541892485340835 \tabularnewline
32 & 0.999115443818367 & 0.0017691123632667 & 0.000884556181633352 \tabularnewline
33 & 0.998642474705631 & 0.00271505058873712 & 0.00135752529436856 \tabularnewline
34 & 0.998690983670334 & 0.00261803265933194 & 0.00130901632966597 \tabularnewline
35 & 0.998707638906458 & 0.00258472218708352 & 0.00129236109354176 \tabularnewline
36 & 0.998368624517851 & 0.00326275096429851 & 0.00163137548214925 \tabularnewline
37 & 0.997787112192351 & 0.0044257756152986 & 0.0022128878076493 \tabularnewline
38 & 0.996769280002178 & 0.00646143999564417 & 0.00323071999782208 \tabularnewline
39 & 0.999003826740426 & 0.00199234651914894 & 0.00099617325957447 \tabularnewline
40 & 0.999171744190023 & 0.00165651161995335 & 0.000828255809976676 \tabularnewline
41 & 0.998812578615188 & 0.00237484276962393 & 0.00118742138481197 \tabularnewline
42 & 0.998460546124713 & 0.00307890775057494 & 0.00153945387528747 \tabularnewline
43 & 0.998073555786653 & 0.00385288842669369 & 0.00192644421334684 \tabularnewline
44 & 0.997220987645806 & 0.00555802470838716 & 0.00277901235419358 \tabularnewline
45 & 0.997901023541917 & 0.00419795291616564 & 0.00209897645808282 \tabularnewline
46 & 0.997060383409938 & 0.00587923318012433 & 0.00293961659006217 \tabularnewline
47 & 0.996945875337997 & 0.00610824932400663 & 0.00305412466200332 \tabularnewline
48 & 0.995692904152596 & 0.00861419169480735 & 0.00430709584740367 \tabularnewline
49 & 0.994234022579851 & 0.0115319548402984 & 0.0057659774201492 \tabularnewline
50 & 0.999131708738768 & 0.00173658252246365 & 0.000868291261231823 \tabularnewline
51 & 0.9999166159742 & 0.000166768051600242 & 8.33840258001208e-05 \tabularnewline
52 & 0.999884635181327 & 0.000230729637345475 & 0.000115364818672737 \tabularnewline
53 & 0.999858361529857 & 0.00028327694028519 & 0.000141638470142595 \tabularnewline
54 & 0.999839541086101 & 0.00032091782779811 & 0.000160458913899055 \tabularnewline
55 & 0.999951786005084 & 9.64279898319746e-05 & 4.82139949159873e-05 \tabularnewline
56 & 0.999926683784544 & 0.000146632430911496 & 7.3316215455748e-05 \tabularnewline
57 & 0.999913461824692 & 0.000173076350615591 & 8.65381753077954e-05 \tabularnewline
58 & 0.999979091968209 & 4.18160635813181e-05 & 2.09080317906591e-05 \tabularnewline
59 & 0.999968241186744 & 6.35176265121161e-05 & 3.1758813256058e-05 \tabularnewline
60 & 0.999955211166815 & 8.95776663690786e-05 & 4.47888331845393e-05 \tabularnewline
61 & 0.999937381143405 & 0.00012523771319059 & 6.26188565952948e-05 \tabularnewline
62 & 0.999937551352878 & 0.000124897294244921 & 6.24486471224606e-05 \tabularnewline
63 & 0.999930648819028 & 0.000138702361943495 & 6.93511809717473e-05 \tabularnewline
64 & 0.999897589937146 & 0.000204820125707989 & 0.000102410062853994 \tabularnewline
65 & 0.99985756782341 & 0.000284864353180742 & 0.000142432176590371 \tabularnewline
66 & 0.999791939980034 & 0.000416120039931234 & 0.000208060019965617 \tabularnewline
67 & 0.999757508108091 & 0.000484983783818838 & 0.000242491891909419 \tabularnewline
68 & 0.999656416955491 & 0.000687166089017038 & 0.000343583044508519 \tabularnewline
69 & 0.999529375987484 & 0.000941248025031866 & 0.000470624012515933 \tabularnewline
70 & 0.999552816357462 & 0.00089436728507632 & 0.00044718364253816 \tabularnewline
71 & 0.999399328060567 & 0.00120134387886549 & 0.000600671939432746 \tabularnewline
72 & 0.999653886473831 & 0.000692227052337337 & 0.000346113526168669 \tabularnewline
73 & 0.999705789164348 & 0.00058842167130329 & 0.000294210835651645 \tabularnewline
74 & 0.999701701690803 & 0.000596596618393741 & 0.000298298309196871 \tabularnewline
75 & 0.999740096095595 & 0.000519807808809513 & 0.000259903904404756 \tabularnewline
76 & 0.999684834483375 & 0.000630331033249918 & 0.000315165516624959 \tabularnewline
77 & 0.999745667342618 & 0.000508665314762973 & 0.000254332657381487 \tabularnewline
78 & 0.999680017706283 & 0.000639964587433206 & 0.000319982293716603 \tabularnewline
79 & 0.999662694665115 & 0.000674610669769614 & 0.000337305334884807 \tabularnewline
80 & 0.999525305585908 & 0.000949388828183474 & 0.000474694414091737 \tabularnewline
81 & 0.999345044816029 & 0.00130991036794097 & 0.000654955183970486 \tabularnewline
82 & 0.999452994530849 & 0.00109401093830171 & 0.000547005469150854 \tabularnewline
83 & 0.99966444362131 & 0.000671112757379833 & 0.000335556378689916 \tabularnewline
84 & 0.999664918973444 & 0.000670162053112269 & 0.000335081026556134 \tabularnewline
85 & 0.999586499793489 & 0.000827000413021826 & 0.000413500206510913 \tabularnewline
86 & 0.999602089115074 & 0.000795821769851774 & 0.000397910884925887 \tabularnewline
87 & 0.999481314154935 & 0.00103737169012917 & 0.000518685845064583 \tabularnewline
88 & 0.999401539194694 & 0.00119692161061136 & 0.00059846080530568 \tabularnewline
89 & 0.999843562785884 & 0.000312874428232516 & 0.000156437214116258 \tabularnewline
90 & 0.999799047221589 & 0.000401905556821085 & 0.000200952778410543 \tabularnewline
91 & 0.999810233910249 & 0.00037953217950133 & 0.000189766089750665 \tabularnewline
92 & 0.999757629793376 & 0.000484740413247112 & 0.000242370206623556 \tabularnewline
93 & 0.999748347355999 & 0.000503305288001178 & 0.000251652644000589 \tabularnewline
94 & 0.999658879945609 & 0.0006822401087813 & 0.00034112005439065 \tabularnewline
95 & 0.999570576994393 & 0.000858846011214373 & 0.000429423005607187 \tabularnewline
96 & 0.999494915373151 & 0.00101016925369796 & 0.000505084626848979 \tabularnewline
97 & 0.999443099574122 & 0.00111380085175551 & 0.000556900425877757 \tabularnewline
98 & 0.999999714274666 & 5.71450667881193e-07 & 2.85725333940596e-07 \tabularnewline
99 & 0.999999612960553 & 7.74078893798329e-07 & 3.87039446899164e-07 \tabularnewline
100 & 0.999999435776816 & 1.12844636704242e-06 & 5.64223183521211e-07 \tabularnewline
101 & 0.999999218021374 & 1.5639572513798e-06 & 7.81978625689901e-07 \tabularnewline
102 & 0.999999188197893 & 1.6236042137384e-06 & 8.11802106869202e-07 \tabularnewline
103 & 0.999999653387446 & 6.93225108701347e-07 & 3.46612554350674e-07 \tabularnewline
104 & 0.999999487947675 & 1.02410464999182e-06 & 5.12052324995911e-07 \tabularnewline
105 & 0.999999521465246 & 9.57069507531997e-07 & 4.78534753765998e-07 \tabularnewline
106 & 0.999999485993145 & 1.02801371002061e-06 & 5.14006855010305e-07 \tabularnewline
107 & 0.99999956790551 & 8.64188979767298e-07 & 4.32094489883649e-07 \tabularnewline
108 & 0.999999411648983 & 1.17670203421718e-06 & 5.8835101710859e-07 \tabularnewline
109 & 0.999999433522482 & 1.13295503560544e-06 & 5.66477517802721e-07 \tabularnewline
110 & 0.999999120997119 & 1.75800576304181e-06 & 8.79002881520905e-07 \tabularnewline
111 & 0.999998820671104 & 2.35865779256316e-06 & 1.17932889628158e-06 \tabularnewline
112 & 0.999998461754667 & 3.0764906667812e-06 & 1.5382453333906e-06 \tabularnewline
113 & 0.999998001280695 & 3.99743861070908e-06 & 1.99871930535454e-06 \tabularnewline
114 & 0.999997049353956 & 5.90129208865031e-06 & 2.95064604432516e-06 \tabularnewline
115 & 0.999996320462684 & 7.35907463151519e-06 & 3.67953731575759e-06 \tabularnewline
116 & 0.999996093139545 & 7.81372090987423e-06 & 3.90686045493711e-06 \tabularnewline
117 & 0.999995369714384 & 9.26057123130279e-06 & 4.63028561565139e-06 \tabularnewline
118 & 0.99999771392677 & 4.57214646074749e-06 & 2.28607323037375e-06 \tabularnewline
119 & 0.999996562213015 & 6.87557397084094e-06 & 3.43778698542047e-06 \tabularnewline
120 & 0.999996241335131 & 7.51732973846461e-06 & 3.75866486923231e-06 \tabularnewline
121 & 0.999994515364361 & 1.0969271278351e-05 & 5.48463563917549e-06 \tabularnewline
122 & 0.999997604913863 & 4.79017227392619e-06 & 2.39508613696309e-06 \tabularnewline
123 & 0.999997358431033 & 5.28313793472105e-06 & 2.64156896736053e-06 \tabularnewline
124 & 0.99999920558206 & 1.58883588035568e-06 & 7.94417940177839e-07 \tabularnewline
125 & 0.999999948277914 & 1.03444172469137e-07 & 5.17220862345687e-08 \tabularnewline
126 & 0.99999993458675 & 1.3082649986643e-07 & 6.54132499332152e-08 \tabularnewline
127 & 0.999999905077622 & 1.89844755089579e-07 & 9.49223775447894e-08 \tabularnewline
128 & 0.999999868130843 & 2.63738314214727e-07 & 1.31869157107364e-07 \tabularnewline
129 & 0.999999837346642 & 3.2530671656325e-07 & 1.62653358281625e-07 \tabularnewline
130 & 0.999999743368217 & 5.13263566064844e-07 & 2.56631783032422e-07 \tabularnewline
131 & 0.999999607667855 & 7.84664289515152e-07 & 3.92332144757576e-07 \tabularnewline
132 & 0.999999772420317 & 4.55159366721123e-07 & 2.27579683360562e-07 \tabularnewline
133 & 0.999999691994167 & 6.16011665569563e-07 & 3.08005832784781e-07 \tabularnewline
134 & 0.999999963689749 & 7.26205017288978e-08 & 3.63102508644489e-08 \tabularnewline
135 & 0.999999948736317 & 1.02527365012295e-07 & 5.12636825061477e-08 \tabularnewline
136 & 0.999999988692977 & 2.26140458501626e-08 & 1.13070229250813e-08 \tabularnewline
137 & 0.999999981395201 & 3.72095984090095e-08 & 1.86047992045048e-08 \tabularnewline
138 & 0.99999999262 & 1.4760000125634e-08 & 7.38000006281698e-09 \tabularnewline
139 & 0.999999991018865 & 1.79622700111629e-08 & 8.98113500558146e-09 \tabularnewline
140 & 0.999999985744917 & 2.8510166846294e-08 & 1.4255083423147e-08 \tabularnewline
141 & 0.999999984444076 & 3.11118474795608e-08 & 1.55559237397804e-08 \tabularnewline
142 & 0.999999977490228 & 4.50195450642462e-08 & 2.25097725321231e-08 \tabularnewline
143 & 0.999999965477975 & 6.90440503081291e-08 & 3.45220251540646e-08 \tabularnewline
144 & 0.999999949406199 & 1.01187601743757e-07 & 5.05938008718784e-08 \tabularnewline
145 & 0.99999992566884 & 1.48662319938321e-07 & 7.43311599691603e-08 \tabularnewline
146 & 0.999999916157896 & 1.67684209068782e-07 & 8.3842104534391e-08 \tabularnewline
147 & 0.999999876642272 & 2.46715455662658e-07 & 1.23357727831329e-07 \tabularnewline
148 & 0.999999820808353 & 3.58383294608868e-07 & 1.79191647304434e-07 \tabularnewline
149 & 0.999999755317741 & 4.89364517303396e-07 & 2.44682258651698e-07 \tabularnewline
150 & 0.999999613722056 & 7.72555887578867e-07 & 3.86277943789433e-07 \tabularnewline
151 & 0.999999566466559 & 8.67066881372287e-07 & 4.33533440686144e-07 \tabularnewline
152 & 0.999999469014017 & 1.06197196524712e-06 & 5.30985982623559e-07 \tabularnewline
153 & 0.999999308927487 & 1.38214502664946e-06 & 6.91072513324732e-07 \tabularnewline
154 & 0.999999085539647 & 1.82892070657632e-06 & 9.1446035328816e-07 \tabularnewline
155 & 0.999998965909714 & 2.06818057245588e-06 & 1.03409028622794e-06 \tabularnewline
156 & 0.999999594470494 & 8.11059012486925e-07 & 4.05529506243462e-07 \tabularnewline
157 & 0.999999610717036 & 7.78565928774281e-07 & 3.8928296438714e-07 \tabularnewline
158 & 0.999999638161055 & 7.23677889384036e-07 & 3.61838944692018e-07 \tabularnewline
159 & 0.999999575066915 & 8.49866171095518e-07 & 4.24933085547759e-07 \tabularnewline
160 & 0.999999392739239 & 1.21452152153351e-06 & 6.07260760766755e-07 \tabularnewline
161 & 0.999999310173723 & 1.37965255371067e-06 & 6.89826276855334e-07 \tabularnewline
162 & 0.999999018734199 & 1.96253160105729e-06 & 9.81265800528646e-07 \tabularnewline
163 & 0.999998803425305 & 2.39314938957692e-06 & 1.19657469478846e-06 \tabularnewline
164 & 0.999998376965902 & 3.24606819506197e-06 & 1.62303409753099e-06 \tabularnewline
165 & 0.999998552028893 & 2.89594221417835e-06 & 1.44797110708918e-06 \tabularnewline
166 & 0.999999378026261 & 1.24394747821445e-06 & 6.21973739107224e-07 \tabularnewline
167 & 0.999999075515908 & 1.84896818482886e-06 & 9.24484092414428e-07 \tabularnewline
168 & 0.999998753579284 & 2.4928414318145e-06 & 1.24642071590725e-06 \tabularnewline
169 & 0.999998582026829 & 2.83594634243574e-06 & 1.41797317121787e-06 \tabularnewline
170 & 0.999999987743362 & 2.45132760463701e-08 & 1.22566380231851e-08 \tabularnewline
171 & 0.999999979751276 & 4.04974479536481e-08 & 2.02487239768241e-08 \tabularnewline
172 & 0.999999971497322 & 5.70053551646433e-08 & 2.85026775823217e-08 \tabularnewline
173 & 0.999999952381886 & 9.52362272926396e-08 & 4.76181136463198e-08 \tabularnewline
174 & 0.999999980718105 & 3.85637892943621e-08 & 1.92818946471811e-08 \tabularnewline
175 & 0.999999999461747 & 1.07650602823892e-09 & 5.38253014119461e-10 \tabularnewline
176 & 0.999999999108168 & 1.78366349394395e-09 & 8.91831746971976e-10 \tabularnewline
177 & 0.99999999931504 & 1.36991960109033e-09 & 6.84959800545167e-10 \tabularnewline
178 & 0.999999998857696 & 2.28460859479742e-09 & 1.14230429739871e-09 \tabularnewline
179 & 0.999999998128287 & 3.74342524145268e-09 & 1.87171262072634e-09 \tabularnewline
180 & 0.999999999158433 & 1.68313469815663e-09 & 8.41567349078316e-10 \tabularnewline
181 & 0.999999998975788 & 2.04842393998435e-09 & 1.02421196999218e-09 \tabularnewline
182 & 0.999999999911735 & 1.76529881122768e-10 & 8.82649405613841e-11 \tabularnewline
183 & 0.999999999836864 & 3.2627164040008e-10 & 1.6313582020004e-10 \tabularnewline
184 & 0.999999999850817 & 2.98366925726952e-10 & 1.49183462863476e-10 \tabularnewline
185 & 0.999999999961717 & 7.6565977382663e-11 & 3.82829886913315e-11 \tabularnewline
186 & 0.999999999931237 & 1.37525411642046e-10 & 6.8762705821023e-11 \tabularnewline
187 & 0.999999999877559 & 2.44881531928448e-10 & 1.22440765964224e-10 \tabularnewline
188 & 0.999999999777434 & 4.45132167851778e-10 & 2.22566083925889e-10 \tabularnewline
189 & 0.99999999965664 & 6.86719516888507e-10 & 3.43359758444254e-10 \tabularnewline
190 & 0.999999999627243 & 7.45513254580553e-10 & 3.72756627290277e-10 \tabularnewline
191 & 0.999999999960738 & 7.85246539332643e-11 & 3.92623269666321e-11 \tabularnewline
192 & 0.999999999923987 & 1.52026815927362e-10 & 7.6013407963681e-11 \tabularnewline
193 & 0.999999999876873 & 2.46253713620408e-10 & 1.23126856810204e-10 \tabularnewline
194 & 0.99999999976468 & 4.7063929002653e-10 & 2.35319645013265e-10 \tabularnewline
195 & 0.999999999576994 & 8.46011126988597e-10 & 4.23005563494298e-10 \tabularnewline
196 & 0.999999999302294 & 1.39541210444853e-09 & 6.97706052224266e-10 \tabularnewline
197 & 0.999999999247705 & 1.50459075726438e-09 & 7.52295378632188e-10 \tabularnewline
198 & 0.999999998643573 & 2.71285454796814e-09 & 1.35642727398407e-09 \tabularnewline
199 & 0.999999998649819 & 2.70036235618714e-09 & 1.35018117809357e-09 \tabularnewline
200 & 0.999999997580494 & 4.8390116932158e-09 & 2.4195058466079e-09 \tabularnewline
201 & 0.999999995598483 & 8.80303492183818e-09 & 4.40151746091909e-09 \tabularnewline
202 & 0.999999993073926 & 1.38521484509581e-08 & 6.92607422547905e-09 \tabularnewline
203 & 0.999999988689341 & 2.26213182110472e-08 & 1.13106591055236e-08 \tabularnewline
204 & 0.999999979700727 & 4.05985459574277e-08 & 2.02992729787138e-08 \tabularnewline
205 & 0.999999980006329 & 3.99873415894916e-08 & 1.99936707947458e-08 \tabularnewline
206 & 0.999999964164766 & 7.16704688086402e-08 & 3.58352344043201e-08 \tabularnewline
207 & 0.999999938806645 & 1.22386710254108e-07 & 6.11933551270541e-08 \tabularnewline
208 & 0.999999990021049 & 1.99579018852777e-08 & 9.97895094263884e-09 \tabularnewline
209 & 0.999999994233225 & 1.15335490595009e-08 & 5.76677452975044e-09 \tabularnewline
210 & 0.999999990018397 & 1.99632067282254e-08 & 9.98160336411268e-09 \tabularnewline
211 & 0.999999985438121 & 2.91237572138496e-08 & 1.45618786069248e-08 \tabularnewline
212 & 0.999999993445631 & 1.31087372208079e-08 & 6.55436861040397e-09 \tabularnewline
213 & 0.999999987396376 & 2.5207248673737e-08 & 1.26036243368685e-08 \tabularnewline
214 & 0.999999975955265 & 4.80894709218467e-08 & 2.40447354609233e-08 \tabularnewline
215 & 0.999999974393146 & 5.1213708154771e-08 & 2.56068540773855e-08 \tabularnewline
216 & 0.999999971213444 & 5.7573112487929e-08 & 2.87865562439645e-08 \tabularnewline
217 & 0.999999986871373 & 2.62572531003769e-08 & 1.31286265501885e-08 \tabularnewline
218 & 0.999999974624285 & 5.07514301202179e-08 & 2.53757150601089e-08 \tabularnewline
219 & 0.999999955225128 & 8.95497443679828e-08 & 4.47748721839914e-08 \tabularnewline
220 & 0.999999951863847 & 9.62723057125619e-08 & 4.8136152856281e-08 \tabularnewline
221 & 0.999999925880714 & 1.48238572504853e-07 & 7.41192862524267e-08 \tabularnewline
222 & 0.99999986220596 & 2.75588079729763e-07 & 1.37794039864881e-07 \tabularnewline
223 & 0.999999958288228 & 8.34235450657807e-08 & 4.17117725328904e-08 \tabularnewline
224 & 0.999999924405264 & 1.51189471776476e-07 & 7.55947358882381e-08 \tabularnewline
225 & 0.999999856566829 & 2.8686634276675e-07 & 1.43433171383375e-07 \tabularnewline
226 & 0.999999740086365 & 5.19827269818289e-07 & 2.59913634909145e-07 \tabularnewline
227 & 0.999999731094474 & 5.37811051654056e-07 & 2.68905525827028e-07 \tabularnewline
228 & 0.999999797416755 & 4.05166490477321e-07 & 2.0258324523866e-07 \tabularnewline
229 & 0.999999715164023 & 5.69671954828945e-07 & 2.84835977414473e-07 \tabularnewline
230 & 0.999999942661004 & 1.14677991238931e-07 & 5.73389956194657e-08 \tabularnewline
231 & 0.999999945991624 & 1.0801675196161e-07 & 5.40083759808052e-08 \tabularnewline
232 & 0.999999890330832 & 2.19338335822126e-07 & 1.09669167911063e-07 \tabularnewline
233 & 0.999999969920608 & 6.01587849344132e-08 & 3.00793924672066e-08 \tabularnewline
234 & 0.999999937874853 & 1.24250294080489e-07 & 6.21251470402447e-08 \tabularnewline
235 & 0.999999914797779 & 1.70404441641575e-07 & 8.52022208207877e-08 \tabularnewline
236 & 0.999999837092364 & 3.25815272258518e-07 & 1.62907636129259e-07 \tabularnewline
237 & 0.999999998191332 & 3.6173368151247e-09 & 1.80866840756235e-09 \tabularnewline
238 & 0.999999996302619 & 7.3947615838288e-09 & 3.6973807919144e-09 \tabularnewline
239 & 0.999999993131294 & 1.37374128999092e-08 & 6.86870644995458e-09 \tabularnewline
240 & 0.999999994980979 & 1.00380421652462e-08 & 5.01902108262309e-09 \tabularnewline
241 & 0.99999999362301 & 1.27539796407606e-08 & 6.37698982038032e-09 \tabularnewline
242 & 0.999999984618768 & 3.07624636740397e-08 & 1.53812318370199e-08 \tabularnewline
243 & 0.999999980818451 & 3.83630980886229e-08 & 1.91815490443114e-08 \tabularnewline
244 & 0.999999966617353 & 6.67652937103193e-08 & 3.33826468551597e-08 \tabularnewline
245 & 0.999999925690488 & 1.48619024693548e-07 & 7.43095123467741e-08 \tabularnewline
246 & 0.999999825444508 & 3.49110984146848e-07 & 1.74555492073424e-07 \tabularnewline
247 & 0.999999777514087 & 4.44971825571463e-07 & 2.22485912785731e-07 \tabularnewline
248 & 0.999999712970637 & 5.74058725071684e-07 & 2.87029362535842e-07 \tabularnewline
249 & 0.999999333839255 & 1.33232148918213e-06 & 6.66160744591064e-07 \tabularnewline
250 & 0.999998761259434 & 2.4774811325798e-06 & 1.2387405662899e-06 \tabularnewline
251 & 0.999998451528512 & 3.09694297508863e-06 & 1.54847148754431e-06 \tabularnewline
252 & 0.999996879062327 & 6.24187534586507e-06 & 3.12093767293253e-06 \tabularnewline
253 & 0.999992927982789 & 1.41440344217527e-05 & 7.07201721087636e-06 \tabularnewline
254 & 0.999984237339221 & 3.15253215588509e-05 & 1.57626607794254e-05 \tabularnewline
255 & 0.999984494974182 & 3.10100516359675e-05 & 1.55050258179838e-05 \tabularnewline
256 & 0.999968187282544 & 6.36254349123811e-05 & 3.18127174561905e-05 \tabularnewline
257 & 0.999962553474688 & 7.48930506238077e-05 & 3.74465253119039e-05 \tabularnewline
258 & 0.999942903823316 & 0.000114192353368891 & 5.70961766844455e-05 \tabularnewline
259 & 0.999908741642284 & 0.000182516715431946 & 9.12583577159731e-05 \tabularnewline
260 & 0.999799381630087 & 0.000401236739825768 & 0.000200618369912884 \tabularnewline
261 & 0.999580512495707 & 0.000838975008586155 & 0.000419487504293078 \tabularnewline
262 & 0.999125496595071 & 0.00174900680985846 & 0.000874503404929229 \tabularnewline
263 & 0.998200658422785 & 0.00359868315443052 & 0.00179934157721526 \tabularnewline
264 & 0.996563777828148 & 0.00687244434370488 & 0.00343622217185244 \tabularnewline
265 & 0.997441215240887 & 0.00511756951822683 & 0.00255878475911342 \tabularnewline
266 & 0.9956730196927 & 0.00865396061460027 & 0.00432698030730014 \tabularnewline
267 & 0.997500049222283 & 0.00499990155543321 & 0.0024999507777166 \tabularnewline
268 & 0.995501845815091 & 0.00899630836981774 & 0.00449815418490887 \tabularnewline
269 & 0.999978931104311 & 4.21377913773528e-05 & 2.10688956886764e-05 \tabularnewline
270 & 0.999953980935876 & 9.20381282480265e-05 & 4.60190641240132e-05 \tabularnewline
271 & 0.999840941298464 & 0.000318117403071031 & 0.000159058701535516 \tabularnewline
272 & 0.999499315367552 & 0.00100136926489528 & 0.000500684632447639 \tabularnewline
273 & 0.998695043512003 & 0.00260991297599359 & 0.00130495648799679 \tabularnewline
274 & 0.995821439366602 & 0.00835712126679601 & 0.00417856063339801 \tabularnewline
275 & 0.989263247448578 & 0.021473505102845 & 0.0107367525514225 \tabularnewline
276 & 0.966592457075987 & 0.0668150858480269 & 0.0334075429240135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198719&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]13[/C][C]0.857818517211781[/C][C]0.284362965576437[/C][C]0.142181482788219[/C][/ROW]
[ROW][C]14[/C][C]0.754992414088775[/C][C]0.49001517182245[/C][C]0.245007585911225[/C][/ROW]
[ROW][C]15[/C][C]0.657193179925408[/C][C]0.685613640149183[/C][C]0.342806820074592[/C][/ROW]
[ROW][C]16[/C][C]0.540085671621645[/C][C]0.91982865675671[/C][C]0.459914328378355[/C][/ROW]
[ROW][C]17[/C][C]0.959089226947749[/C][C]0.0818215461045016[/C][C]0.0409107730522508[/C][/ROW]
[ROW][C]18[/C][C]0.94167179124907[/C][C]0.116656417501859[/C][C]0.0583282087509297[/C][/ROW]
[ROW][C]19[/C][C]0.933440247596371[/C][C]0.133119504807258[/C][C]0.0665597524036288[/C][/ROW]
[ROW][C]20[/C][C]0.954850167936004[/C][C]0.090299664127992[/C][C]0.045149832063996[/C][/ROW]
[ROW][C]21[/C][C]0.94006435024922[/C][C]0.11987129950156[/C][C]0.0599356497507798[/C][/ROW]
[ROW][C]22[/C][C]0.915796942978206[/C][C]0.168406114043588[/C][C]0.0842030570217941[/C][/ROW]
[ROW][C]23[/C][C]0.998565269516863[/C][C]0.00286946096627371[/C][C]0.00143473048313686[/C][/ROW]
[ROW][C]24[/C][C]0.997770284471859[/C][C]0.00445943105628166[/C][C]0.00222971552814083[/C][/ROW]
[ROW][C]25[/C][C]0.997330035861767[/C][C]0.0053399282764655[/C][C]0.00266996413823275[/C][/ROW]
[ROW][C]26[/C][C]0.999505146463797[/C][C]0.000989707072405207[/C][C]0.000494853536202604[/C][/ROW]
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[ROW][C]62[/C][C]0.999937551352878[/C][C]0.000124897294244921[/C][C]6.24486471224606e-05[/C][/ROW]
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[ROW][C]64[/C][C]0.999897589937146[/C][C]0.000204820125707989[/C][C]0.000102410062853994[/C][/ROW]
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[ROW][C]99[/C][C]0.999999612960553[/C][C]7.74078893798329e-07[/C][C]3.87039446899164e-07[/C][/ROW]
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[ROW][C]102[/C][C]0.999999188197893[/C][C]1.6236042137384e-06[/C][C]8.11802106869202e-07[/C][/ROW]
[ROW][C]103[/C][C]0.999999653387446[/C][C]6.93225108701347e-07[/C][C]3.46612554350674e-07[/C][/ROW]
[ROW][C]104[/C][C]0.999999487947675[/C][C]1.02410464999182e-06[/C][C]5.12052324995911e-07[/C][/ROW]
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[ROW][C]112[/C][C]0.999998461754667[/C][C]3.0764906667812e-06[/C][C]1.5382453333906e-06[/C][/ROW]
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[ROW][C]114[/C][C]0.999997049353956[/C][C]5.90129208865031e-06[/C][C]2.95064604432516e-06[/C][/ROW]
[ROW][C]115[/C][C]0.999996320462684[/C][C]7.35907463151519e-06[/C][C]3.67953731575759e-06[/C][/ROW]
[ROW][C]116[/C][C]0.999996093139545[/C][C]7.81372090987423e-06[/C][C]3.90686045493711e-06[/C][/ROW]
[ROW][C]117[/C][C]0.999995369714384[/C][C]9.26057123130279e-06[/C][C]4.63028561565139e-06[/C][/ROW]
[ROW][C]118[/C][C]0.99999771392677[/C][C]4.57214646074749e-06[/C][C]2.28607323037375e-06[/C][/ROW]
[ROW][C]119[/C][C]0.999996562213015[/C][C]6.87557397084094e-06[/C][C]3.43778698542047e-06[/C][/ROW]
[ROW][C]120[/C][C]0.999996241335131[/C][C]7.51732973846461e-06[/C][C]3.75866486923231e-06[/C][/ROW]
[ROW][C]121[/C][C]0.999994515364361[/C][C]1.0969271278351e-05[/C][C]5.48463563917549e-06[/C][/ROW]
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[ROW][C]163[/C][C]0.999998803425305[/C][C]2.39314938957692e-06[/C][C]1.19657469478846e-06[/C][/ROW]
[ROW][C]164[/C][C]0.999998376965902[/C][C]3.24606819506197e-06[/C][C]1.62303409753099e-06[/C][/ROW]
[ROW][C]165[/C][C]0.999998552028893[/C][C]2.89594221417835e-06[/C][C]1.44797110708918e-06[/C][/ROW]
[ROW][C]166[/C][C]0.999999378026261[/C][C]1.24394747821445e-06[/C][C]6.21973739107224e-07[/C][/ROW]
[ROW][C]167[/C][C]0.999999075515908[/C][C]1.84896818482886e-06[/C][C]9.24484092414428e-07[/C][/ROW]
[ROW][C]168[/C][C]0.999998753579284[/C][C]2.4928414318145e-06[/C][C]1.24642071590725e-06[/C][/ROW]
[ROW][C]169[/C][C]0.999998582026829[/C][C]2.83594634243574e-06[/C][C]1.41797317121787e-06[/C][/ROW]
[ROW][C]170[/C][C]0.999999987743362[/C][C]2.45132760463701e-08[/C][C]1.22566380231851e-08[/C][/ROW]
[ROW][C]171[/C][C]0.999999979751276[/C][C]4.04974479536481e-08[/C][C]2.02487239768241e-08[/C][/ROW]
[ROW][C]172[/C][C]0.999999971497322[/C][C]5.70053551646433e-08[/C][C]2.85026775823217e-08[/C][/ROW]
[ROW][C]173[/C][C]0.999999952381886[/C][C]9.52362272926396e-08[/C][C]4.76181136463198e-08[/C][/ROW]
[ROW][C]174[/C][C]0.999999980718105[/C][C]3.85637892943621e-08[/C][C]1.92818946471811e-08[/C][/ROW]
[ROW][C]175[/C][C]0.999999999461747[/C][C]1.07650602823892e-09[/C][C]5.38253014119461e-10[/C][/ROW]
[ROW][C]176[/C][C]0.999999999108168[/C][C]1.78366349394395e-09[/C][C]8.91831746971976e-10[/C][/ROW]
[ROW][C]177[/C][C]0.99999999931504[/C][C]1.36991960109033e-09[/C][C]6.84959800545167e-10[/C][/ROW]
[ROW][C]178[/C][C]0.999999998857696[/C][C]2.28460859479742e-09[/C][C]1.14230429739871e-09[/C][/ROW]
[ROW][C]179[/C][C]0.999999998128287[/C][C]3.74342524145268e-09[/C][C]1.87171262072634e-09[/C][/ROW]
[ROW][C]180[/C][C]0.999999999158433[/C][C]1.68313469815663e-09[/C][C]8.41567349078316e-10[/C][/ROW]
[ROW][C]181[/C][C]0.999999998975788[/C][C]2.04842393998435e-09[/C][C]1.02421196999218e-09[/C][/ROW]
[ROW][C]182[/C][C]0.999999999911735[/C][C]1.76529881122768e-10[/C][C]8.82649405613841e-11[/C][/ROW]
[ROW][C]183[/C][C]0.999999999836864[/C][C]3.2627164040008e-10[/C][C]1.6313582020004e-10[/C][/ROW]
[ROW][C]184[/C][C]0.999999999850817[/C][C]2.98366925726952e-10[/C][C]1.49183462863476e-10[/C][/ROW]
[ROW][C]185[/C][C]0.999999999961717[/C][C]7.6565977382663e-11[/C][C]3.82829886913315e-11[/C][/ROW]
[ROW][C]186[/C][C]0.999999999931237[/C][C]1.37525411642046e-10[/C][C]6.8762705821023e-11[/C][/ROW]
[ROW][C]187[/C][C]0.999999999877559[/C][C]2.44881531928448e-10[/C][C]1.22440765964224e-10[/C][/ROW]
[ROW][C]188[/C][C]0.999999999777434[/C][C]4.45132167851778e-10[/C][C]2.22566083925889e-10[/C][/ROW]
[ROW][C]189[/C][C]0.99999999965664[/C][C]6.86719516888507e-10[/C][C]3.43359758444254e-10[/C][/ROW]
[ROW][C]190[/C][C]0.999999999627243[/C][C]7.45513254580553e-10[/C][C]3.72756627290277e-10[/C][/ROW]
[ROW][C]191[/C][C]0.999999999960738[/C][C]7.85246539332643e-11[/C][C]3.92623269666321e-11[/C][/ROW]
[ROW][C]192[/C][C]0.999999999923987[/C][C]1.52026815927362e-10[/C][C]7.6013407963681e-11[/C][/ROW]
[ROW][C]193[/C][C]0.999999999876873[/C][C]2.46253713620408e-10[/C][C]1.23126856810204e-10[/C][/ROW]
[ROW][C]194[/C][C]0.99999999976468[/C][C]4.7063929002653e-10[/C][C]2.35319645013265e-10[/C][/ROW]
[ROW][C]195[/C][C]0.999999999576994[/C][C]8.46011126988597e-10[/C][C]4.23005563494298e-10[/C][/ROW]
[ROW][C]196[/C][C]0.999999999302294[/C][C]1.39541210444853e-09[/C][C]6.97706052224266e-10[/C][/ROW]
[ROW][C]197[/C][C]0.999999999247705[/C][C]1.50459075726438e-09[/C][C]7.52295378632188e-10[/C][/ROW]
[ROW][C]198[/C][C]0.999999998643573[/C][C]2.71285454796814e-09[/C][C]1.35642727398407e-09[/C][/ROW]
[ROW][C]199[/C][C]0.999999998649819[/C][C]2.70036235618714e-09[/C][C]1.35018117809357e-09[/C][/ROW]
[ROW][C]200[/C][C]0.999999997580494[/C][C]4.8390116932158e-09[/C][C]2.4195058466079e-09[/C][/ROW]
[ROW][C]201[/C][C]0.999999995598483[/C][C]8.80303492183818e-09[/C][C]4.40151746091909e-09[/C][/ROW]
[ROW][C]202[/C][C]0.999999993073926[/C][C]1.38521484509581e-08[/C][C]6.92607422547905e-09[/C][/ROW]
[ROW][C]203[/C][C]0.999999988689341[/C][C]2.26213182110472e-08[/C][C]1.13106591055236e-08[/C][/ROW]
[ROW][C]204[/C][C]0.999999979700727[/C][C]4.05985459574277e-08[/C][C]2.02992729787138e-08[/C][/ROW]
[ROW][C]205[/C][C]0.999999980006329[/C][C]3.99873415894916e-08[/C][C]1.99936707947458e-08[/C][/ROW]
[ROW][C]206[/C][C]0.999999964164766[/C][C]7.16704688086402e-08[/C][C]3.58352344043201e-08[/C][/ROW]
[ROW][C]207[/C][C]0.999999938806645[/C][C]1.22386710254108e-07[/C][C]6.11933551270541e-08[/C][/ROW]
[ROW][C]208[/C][C]0.999999990021049[/C][C]1.99579018852777e-08[/C][C]9.97895094263884e-09[/C][/ROW]
[ROW][C]209[/C][C]0.999999994233225[/C][C]1.15335490595009e-08[/C][C]5.76677452975044e-09[/C][/ROW]
[ROW][C]210[/C][C]0.999999990018397[/C][C]1.99632067282254e-08[/C][C]9.98160336411268e-09[/C][/ROW]
[ROW][C]211[/C][C]0.999999985438121[/C][C]2.91237572138496e-08[/C][C]1.45618786069248e-08[/C][/ROW]
[ROW][C]212[/C][C]0.999999993445631[/C][C]1.31087372208079e-08[/C][C]6.55436861040397e-09[/C][/ROW]
[ROW][C]213[/C][C]0.999999987396376[/C][C]2.5207248673737e-08[/C][C]1.26036243368685e-08[/C][/ROW]
[ROW][C]214[/C][C]0.999999975955265[/C][C]4.80894709218467e-08[/C][C]2.40447354609233e-08[/C][/ROW]
[ROW][C]215[/C][C]0.999999974393146[/C][C]5.1213708154771e-08[/C][C]2.56068540773855e-08[/C][/ROW]
[ROW][C]216[/C][C]0.999999971213444[/C][C]5.7573112487929e-08[/C][C]2.87865562439645e-08[/C][/ROW]
[ROW][C]217[/C][C]0.999999986871373[/C][C]2.62572531003769e-08[/C][C]1.31286265501885e-08[/C][/ROW]
[ROW][C]218[/C][C]0.999999974624285[/C][C]5.07514301202179e-08[/C][C]2.53757150601089e-08[/C][/ROW]
[ROW][C]219[/C][C]0.999999955225128[/C][C]8.95497443679828e-08[/C][C]4.47748721839914e-08[/C][/ROW]
[ROW][C]220[/C][C]0.999999951863847[/C][C]9.62723057125619e-08[/C][C]4.8136152856281e-08[/C][/ROW]
[ROW][C]221[/C][C]0.999999925880714[/C][C]1.48238572504853e-07[/C][C]7.41192862524267e-08[/C][/ROW]
[ROW][C]222[/C][C]0.99999986220596[/C][C]2.75588079729763e-07[/C][C]1.37794039864881e-07[/C][/ROW]
[ROW][C]223[/C][C]0.999999958288228[/C][C]8.34235450657807e-08[/C][C]4.17117725328904e-08[/C][/ROW]
[ROW][C]224[/C][C]0.999999924405264[/C][C]1.51189471776476e-07[/C][C]7.55947358882381e-08[/C][/ROW]
[ROW][C]225[/C][C]0.999999856566829[/C][C]2.8686634276675e-07[/C][C]1.43433171383375e-07[/C][/ROW]
[ROW][C]226[/C][C]0.999999740086365[/C][C]5.19827269818289e-07[/C][C]2.59913634909145e-07[/C][/ROW]
[ROW][C]227[/C][C]0.999999731094474[/C][C]5.37811051654056e-07[/C][C]2.68905525827028e-07[/C][/ROW]
[ROW][C]228[/C][C]0.999999797416755[/C][C]4.05166490477321e-07[/C][C]2.0258324523866e-07[/C][/ROW]
[ROW][C]229[/C][C]0.999999715164023[/C][C]5.69671954828945e-07[/C][C]2.84835977414473e-07[/C][/ROW]
[ROW][C]230[/C][C]0.999999942661004[/C][C]1.14677991238931e-07[/C][C]5.73389956194657e-08[/C][/ROW]
[ROW][C]231[/C][C]0.999999945991624[/C][C]1.0801675196161e-07[/C][C]5.40083759808052e-08[/C][/ROW]
[ROW][C]232[/C][C]0.999999890330832[/C][C]2.19338335822126e-07[/C][C]1.09669167911063e-07[/C][/ROW]
[ROW][C]233[/C][C]0.999999969920608[/C][C]6.01587849344132e-08[/C][C]3.00793924672066e-08[/C][/ROW]
[ROW][C]234[/C][C]0.999999937874853[/C][C]1.24250294080489e-07[/C][C]6.21251470402447e-08[/C][/ROW]
[ROW][C]235[/C][C]0.999999914797779[/C][C]1.70404441641575e-07[/C][C]8.52022208207877e-08[/C][/ROW]
[ROW][C]236[/C][C]0.999999837092364[/C][C]3.25815272258518e-07[/C][C]1.62907636129259e-07[/C][/ROW]
[ROW][C]237[/C][C]0.999999998191332[/C][C]3.6173368151247e-09[/C][C]1.80866840756235e-09[/C][/ROW]
[ROW][C]238[/C][C]0.999999996302619[/C][C]7.3947615838288e-09[/C][C]3.6973807919144e-09[/C][/ROW]
[ROW][C]239[/C][C]0.999999993131294[/C][C]1.37374128999092e-08[/C][C]6.86870644995458e-09[/C][/ROW]
[ROW][C]240[/C][C]0.999999994980979[/C][C]1.00380421652462e-08[/C][C]5.01902108262309e-09[/C][/ROW]
[ROW][C]241[/C][C]0.99999999362301[/C][C]1.27539796407606e-08[/C][C]6.37698982038032e-09[/C][/ROW]
[ROW][C]242[/C][C]0.999999984618768[/C][C]3.07624636740397e-08[/C][C]1.53812318370199e-08[/C][/ROW]
[ROW][C]243[/C][C]0.999999980818451[/C][C]3.83630980886229e-08[/C][C]1.91815490443114e-08[/C][/ROW]
[ROW][C]244[/C][C]0.999999966617353[/C][C]6.67652937103193e-08[/C][C]3.33826468551597e-08[/C][/ROW]
[ROW][C]245[/C][C]0.999999925690488[/C][C]1.48619024693548e-07[/C][C]7.43095123467741e-08[/C][/ROW]
[ROW][C]246[/C][C]0.999999825444508[/C][C]3.49110984146848e-07[/C][C]1.74555492073424e-07[/C][/ROW]
[ROW][C]247[/C][C]0.999999777514087[/C][C]4.44971825571463e-07[/C][C]2.22485912785731e-07[/C][/ROW]
[ROW][C]248[/C][C]0.999999712970637[/C][C]5.74058725071684e-07[/C][C]2.87029362535842e-07[/C][/ROW]
[ROW][C]249[/C][C]0.999999333839255[/C][C]1.33232148918213e-06[/C][C]6.66160744591064e-07[/C][/ROW]
[ROW][C]250[/C][C]0.999998761259434[/C][C]2.4774811325798e-06[/C][C]1.2387405662899e-06[/C][/ROW]
[ROW][C]251[/C][C]0.999998451528512[/C][C]3.09694297508863e-06[/C][C]1.54847148754431e-06[/C][/ROW]
[ROW][C]252[/C][C]0.999996879062327[/C][C]6.24187534586507e-06[/C][C]3.12093767293253e-06[/C][/ROW]
[ROW][C]253[/C][C]0.999992927982789[/C][C]1.41440344217527e-05[/C][C]7.07201721087636e-06[/C][/ROW]
[ROW][C]254[/C][C]0.999984237339221[/C][C]3.15253215588509e-05[/C][C]1.57626607794254e-05[/C][/ROW]
[ROW][C]255[/C][C]0.999984494974182[/C][C]3.10100516359675e-05[/C][C]1.55050258179838e-05[/C][/ROW]
[ROW][C]256[/C][C]0.999968187282544[/C][C]6.36254349123811e-05[/C][C]3.18127174561905e-05[/C][/ROW]
[ROW][C]257[/C][C]0.999962553474688[/C][C]7.48930506238077e-05[/C][C]3.74465253119039e-05[/C][/ROW]
[ROW][C]258[/C][C]0.999942903823316[/C][C]0.000114192353368891[/C][C]5.70961766844455e-05[/C][/ROW]
[ROW][C]259[/C][C]0.999908741642284[/C][C]0.000182516715431946[/C][C]9.12583577159731e-05[/C][/ROW]
[ROW][C]260[/C][C]0.999799381630087[/C][C]0.000401236739825768[/C][C]0.000200618369912884[/C][/ROW]
[ROW][C]261[/C][C]0.999580512495707[/C][C]0.000838975008586155[/C][C]0.000419487504293078[/C][/ROW]
[ROW][C]262[/C][C]0.999125496595071[/C][C]0.00174900680985846[/C][C]0.000874503404929229[/C][/ROW]
[ROW][C]263[/C][C]0.998200658422785[/C][C]0.00359868315443052[/C][C]0.00179934157721526[/C][/ROW]
[ROW][C]264[/C][C]0.996563777828148[/C][C]0.00687244434370488[/C][C]0.00343622217185244[/C][/ROW]
[ROW][C]265[/C][C]0.997441215240887[/C][C]0.00511756951822683[/C][C]0.00255878475911342[/C][/ROW]
[ROW][C]266[/C][C]0.9956730196927[/C][C]0.00865396061460027[/C][C]0.00432698030730014[/C][/ROW]
[ROW][C]267[/C][C]0.997500049222283[/C][C]0.00499990155543321[/C][C]0.0024999507777166[/C][/ROW]
[ROW][C]268[/C][C]0.995501845815091[/C][C]0.00899630836981774[/C][C]0.00449815418490887[/C][/ROW]
[ROW][C]269[/C][C]0.999978931104311[/C][C]4.21377913773528e-05[/C][C]2.10688956886764e-05[/C][/ROW]
[ROW][C]270[/C][C]0.999953980935876[/C][C]9.20381282480265e-05[/C][C]4.60190641240132e-05[/C][/ROW]
[ROW][C]271[/C][C]0.999840941298464[/C][C]0.000318117403071031[/C][C]0.000159058701535516[/C][/ROW]
[ROW][C]272[/C][C]0.999499315367552[/C][C]0.00100136926489528[/C][C]0.000500684632447639[/C][/ROW]
[ROW][C]273[/C][C]0.998695043512003[/C][C]0.00260991297599359[/C][C]0.00130495648799679[/C][/ROW]
[ROW][C]274[/C][C]0.995821439366602[/C][C]0.00835712126679601[/C][C]0.00417856063339801[/C][/ROW]
[ROW][C]275[/C][C]0.989263247448578[/C][C]0.021473505102845[/C][C]0.0107367525514225[/C][/ROW]
[ROW][C]276[/C][C]0.966592457075987[/C][C]0.0668150858480269[/C][C]0.0334075429240135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198719&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198719&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
130.8578185172117810.2843629655764370.142181482788219
140.7549924140887750.490015171822450.245007585911225
150.6571931799254080.6856136401491830.342806820074592
160.5400856716216450.919828656756710.459914328378355
170.9590892269477490.08182154610450160.0409107730522508
180.941671791249070.1166564175018590.0583282087509297
190.9334402475963710.1331195048072580.0665597524036288
200.9548501679360040.0902996641279920.045149832063996
210.940064350249220.119871299501560.0599356497507798
220.9157969429782060.1684061140435880.0842030570217941
230.9985652695168630.002869460966273710.00143473048313686
240.9977702844718590.004459431056281660.00222971552814083
250.9973300358617670.00533992827646550.00266996413823275
260.9995051464637970.0009897070724052070.000494853536202604
270.9997582602626830.0004834794746338390.00024173973731692
280.9995874144900420.000825171019916370.000412585509958185
290.9995533665645150.0008932668709697660.000446633435484883
300.9994748887303070.001050222539386370.000525111269693184
310.9994581075146590.001083784970681670.000541892485340835
320.9991154438183670.00176911236326670.000884556181633352
330.9986424747056310.002715050588737120.00135752529436856
340.9986909836703340.002618032659331940.00130901632966597
350.9987076389064580.002584722187083520.00129236109354176
360.9983686245178510.003262750964298510.00163137548214925
370.9977871121923510.00442577561529860.0022128878076493
380.9967692800021780.006461439995644170.00323071999782208
390.9990038267404260.001992346519148940.00099617325957447
400.9991717441900230.001656511619953350.000828255809976676
410.9988125786151880.002374842769623930.00118742138481197
420.9984605461247130.003078907750574940.00153945387528747
430.9980735557866530.003852888426693690.00192644421334684
440.9972209876458060.005558024708387160.00277901235419358
450.9979010235419170.004197952916165640.00209897645808282
460.9970603834099380.005879233180124330.00293961659006217
470.9969458753379970.006108249324006630.00305412466200332
480.9956929041525960.008614191694807350.00430709584740367
490.9942340225798510.01153195484029840.0057659774201492
500.9991317087387680.001736582522463650.000868291261231823
510.99991661597420.0001667680516002428.33840258001208e-05
520.9998846351813270.0002307296373454750.000115364818672737
530.9998583615298570.000283276940285190.000141638470142595
540.9998395410861010.000320917827798110.000160458913899055
550.9999517860050849.64279898319746e-054.82139949159873e-05
560.9999266837845440.0001466324309114967.3316215455748e-05
570.9999134618246920.0001730763506155918.65381753077954e-05
580.9999790919682094.18160635813181e-052.09080317906591e-05
590.9999682411867446.35176265121161e-053.1758813256058e-05
600.9999552111668158.95776663690786e-054.47888331845393e-05
610.9999373811434050.000125237713190596.26188565952948e-05
620.9999375513528780.0001248972942449216.24486471224606e-05
630.9999306488190280.0001387023619434956.93511809717473e-05
640.9998975899371460.0002048201257079890.000102410062853994
650.999857567823410.0002848643531807420.000142432176590371
660.9997919399800340.0004161200399312340.000208060019965617
670.9997575081080910.0004849837838188380.000242491891909419
680.9996564169554910.0006871660890170380.000343583044508519
690.9995293759874840.0009412480250318660.000470624012515933
700.9995528163574620.000894367285076320.00044718364253816
710.9993993280605670.001201343878865490.000600671939432746
720.9996538864738310.0006922270523373370.000346113526168669
730.9997057891643480.000588421671303290.000294210835651645
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1920.9999999999239871.52026815927362e-107.6013407963681e-11
1930.9999999998768732.46253713620408e-101.23126856810204e-10
1940.999999999764684.7063929002653e-102.35319645013265e-10
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2400.9999999949809791.00380421652462e-085.01902108262309e-09
2410.999999993623011.27539796407606e-086.37698982038032e-09
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2430.9999999808184513.83630980886229e-081.91815490443114e-08
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2760.9665924570759870.06681508584802690.0334075429240135







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2510.950757575757576NOK
5% type I error level2530.958333333333333NOK
10% type I error level2560.96969696969697NOK

\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 & 251 & 0.950757575757576 & NOK \tabularnewline
5% type I error level & 253 & 0.958333333333333 & NOK \tabularnewline
10% type I error level & 256 & 0.96969696969697 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198719&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]251[/C][C]0.950757575757576[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]253[/C][C]0.958333333333333[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]256[/C][C]0.96969696969697[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198719&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198719&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 level2510.950757575757576NOK
5% type I error level2530.958333333333333NOK
10% type I error level2560.96969696969697NOK



Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = TRUE ;
Parameters (R input):
par1 = 2 ; 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')
}