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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationFri, 23 Dec 2011 11:06:50 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/23/t1324656535pp7bsjtbefmulhn.htm/, Retrieved Mon, 29 Apr 2024 18:07:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160541, Retrieved Mon, 29 Apr 2024 18:07:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [Kendall tau Corre...] [2011-12-23 15:23:10] [2adcc8dcd741502b8a9375c7fd3d7ce3]
- RMPD    [Multiple Regression] [Multiple Regression] [2011-12-23 16:06:50] [15b176dce75b54ed867df2f0f1df7481] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1418	210907	56	79	30	115	94	112285	145
869	120982	56	58	28	109	103	84786	101
1530	176508	54	60	38	146	93	83123	98
2172	179321	89	108	30	116	103	101193	132
901	123185	40	49	22	68	51	38361	60
463	52746	25	0	26	101	70	68504	38
3201	385534	92	121	25	96	91	119182	144
371	33170	18	1	18	67	22	22807	5
1192	101645	63	20	11	44	38	17140	28
1583	149061	44	43	26	100	93	116174	84
1439	165446	33	69	25	93	60	57635	79
1764	237213	84	78	38	140	123	66198	127
1495	173326	88	86	44	166	148	71701	78
1373	133131	55	44	30	99	90	57793	60
2187	258873	60	104	40	139	124	80444	131
1491	180083	66	63	34	130	70	53855	84
4041	324799	154	158	47	181	168	97668	133
1706	230964	53	102	30	116	115	133824	150
2152	236785	119	77	31	116	71	101481	91
1036	135473	41	82	23	88	66	99645	132
1882	202925	61	115	36	139	134	114789	136
1929	215147	58	101	36	135	117	99052	124
2242	344297	75	80	30	108	108	67654	118
1220	153935	33	50	25	89	84	65553	70
1289	132943	40	83	39	156	156	97500	107
2515	174724	92	123	34	129	120	69112	119
2147	174415	100	73	31	118	114	82753	89
2352	225548	112	81	31	118	94	85323	112
1638	223632	73	105	33	125	120	72654	108
1222	124817	40	47	25	95	81	30727	52
1812	221698	45	105	33	126	110	77873	112
1677	210767	60	94	35	135	133	117478	116
1579	170266	62	44	42	154	122	74007	123
1731	260561	75	114	43	165	158	90183	125
807	84853	31	38	30	113	109	61542	27
2452	294424	77	107	33	127	124	101494	162
829	101011	34	30	13	52	39	27570	32
1940	215641	46	71	32	121	92	55813	64
2662	325107	99	84	36	136	126	79215	92
186	7176	17	0	0	0	0	1423	0
1499	167542	66	59	28	108	70	55461	83
865	106408	30	33	14	46	37	31081	41
1793	96560	76	42	17	54	38	22996	47
2527	265769	146	96	32	124	120	83122	120
2747	269651	67	106	30	115	93	70106	105
1324	149112	56	56	35	128	95	60578	79
2702	175824	107	57	20	80	77	39992	65
1383	152871	58	59	28	97	90	79892	70
1179	111665	34	39	28	104	80	49810	55
2099	116408	61	34	39	59	31	71570	39
4308	362301	119	76	34	125	110	100708	67
918	78800	42	20	26	82	66	33032	21
1831	183167	66	91	39	149	138	82875	127
3373	277965	89	115	39	149	133	139077	152
1713	150629	44	85	33	122	113	71595	113
1438	168809	66	76	28	118	100	72260	99
496	24188	24	8	4	12	7	5950	7
2253	329267	259	79	39	144	140	115762	141
744	65029	17	21	18	67	61	32551	21
1161	101097	64	30	14	52	41	31701	35
2352	218946	41	76	29	108	96	80670	109
2144	244052	68	101	44	166	164	143558	133
4691	341570	168	94	21	80	78	117105	123
1112	103597	43	27	16	60	49	23789	26
2694	233328	132	92	28	107	102	120733	230
1973	256462	105	123	35	127	124	105195	166
1769	206161	71	75	28	107	99	73107	68
3148	311473	112	128	38	146	129	132068	147
2474	235800	94	105	23	84	62	149193	179
2084	177939	82	55	36	141	73	46821	61
1954	207176	70	56	32	123	114	87011	101
1226	196553	57	41	29	111	99	95260	108
1389	174184	53	72	25	98	70	55183	90
1496	143246	103	67	27	105	104	106671	114
2269	187559	121	75	36	135	116	73511	103
1833	187681	62	114	28	107	91	92945	142
1268	119016	52	118	23	85	74	78664	79
1943	182192	52	77	40	155	138	70054	88
893	73566	32	22	23	88	67	22618	25
1762	194979	62	66	40	155	151	74011	83
1403	167488	45	69	28	104	72	83737	113
1425	143756	46	105	34	132	120	69094	118
1857	275541	63	116	33	127	115	93133	110
1840	243199	75	88	28	108	105	95536	129
1502	182999	88	73	34	129	104	225920	51
1441	135649	46	99	30	116	108	62133	93
1420	152299	53	62	33	122	98	61370	76
1416	120221	37	53	22	85	69	43836	49
2970	346485	90	118	38	147	111	106117	118
1317	145790	63	30	26	99	99	38692	38
1644	193339	78	100	35	87	71	84651	141
870	80953	25	49	8	28	27	56622	58
1654	122774	45	24	24	90	69	15986	27
1054	130585	46	67	29	109	107	95364	91
937	112611	41	46	20	78	73	26706	48
3004	286468	144	57	29	111	107	89691	63
2008	241066	82	75	45	158	93	67267	56
2547	148446	91	135	37	141	129	126846	144
1885	204713	71	68	33	122	69	41140	73
1626	182079	63	124	33	124	118	102860	168
1468	140344	53	33	25	93	73	51715	64
2445	220516	62	98	32	124	119	55801	97
1964	243060	63	58	29	112	104	111813	117
1381	162765	32	68	28	108	107	120293	100
1369	182613	39	81	28	99	99	138599	149
1659	232138	62	131	31	117	90	161647	187
2888	265318	117	110	52	199	197	115929	127
1290	85574	34	37	21	78	36	24266	37
2845	310839	92	130	24	91	85	162901	245
1982	225060	93	93	41	158	139	109825	87
1904	232317	54	118	33	126	106	129838	177
1391	144966	144	39	32	122	50	37510	49
602	43287	14	13	19	71	64	43750	49
1743	155754	61	74	20	75	31	40652	73
1559	164709	109	81	31	115	63	87771	177
2014	201940	38	109	31	119	92	85872	94
2143	235454	73	151	32	124	106	89275	117
2146	220801	75	51	18	72	63	44418	60
874	99466	50	28	23	91	69	192565	55
1590	92661	61	40	17	45	41	35232	39
1590	133328	55	56	20	78	56	40909	64
1210	61361	77	27	12	39	25	13294	26
2072	125930	75	37	17	68	65	32387	64
1281	100750	72	83	30	119	93	140867	58
1401	224549	50	54	31	117	114	120662	95
834	82316	32	27	10	39	38	21233	25
1105	102010	53	28	13	50	44	44332	26
1272	101523	42	59	22	88	87	61056	76
1944	243511	71	133	42	155	110	101338	129
391	22938	10	12	1	0	0	1168	11
761	41566	35	0	9	36	27	13497	2
1605	152474	65	106	32	123	83	65567	101
530	61857	25	23	11	32	30	25162	28
1988	99923	66	44	25	99	80	32334	36
1386	132487	41	71	36	136	98	40735	89
2395	317394	86	116	31	117	82	91413	193
387	21054	16	4	0	0	0	855	4
1742	209641	42	62	24	88	60	97068	84
620	22648	19	12	13	39	28	44339	23
449	31414	19	18	8	25	9	14116	39
800	46698	45	14	13	52	33	10288	14
1684	131698	65	60	19	75	59	65622	78
1050	91735	35	7	18	71	49	16563	14
2699	244749	95	98	33	124	115	76643	101
1606	184510	49	64	40	151	140	110681	82
1502	79863	37	29	22	71	49	29011	24
1204	128423	64	32	38	145	120	92696	36
1138	97839	38	25	24	87	66	94785	75
568	38214	34	16	8	27	21	8773	16
1459	151101	32	48	35	131	124	83209	55
2158	272458	65	100	43	162	152	93815	131
1111	172494	52	46	43	165	139	86687	131
1421	108043	62	45	14	54	38	34553	39
2833	328107	65	129	41	159	144	105547	144
1955	250579	83	130	38	147	120	103487	139
2922	351067	95	136	45	170	160	213688	211
1002	158015	29	59	31	119	114	71220	78
1060	98866	18	25	13	49	39	23517	50
956	85439	33	32	28	104	78	56926	39
2186	229242	247	63	31	120	119	91721	90
3604	351619	139	95	40	150	141	115168	166
1035	84207	29	14	30	112	101	111194	12
1417	120445	118	36	16	59	56	51009	57
3261	324598	110	113	37	136	133	135777	133
1587	131069	67	47	30	107	83	51513	69
1424	204271	42	92	35	130	116	74163	119
1701	165543	65	70	32	115	90	51633	119
1249	141722	94	19	27	107	36	75345	65
946	116048	64	50	20	75	50	33416	61
1926	250047	81	41	18	71	61	83305	49
3352	299775	95	91	31	120	97	98952	101
1641	195838	67	111	31	116	98	102372	196
2035	173260	63	41	21	79	78	37238	15
2312	254488	83	120	39	150	117	103772	136
1369	104389	45	135	41	156	148	123969	89
1577	136084	30	27	13	51	41	27142	40
2201	199476	70	87	32	118	105	135400	123
961	92499	32	25	18	71	55	21399	21
1900	224330	83	131	39	144	132	130115	163
1254	135781	31	45	14	47	44	24874	29
1335	74408	67	29	7	28	21	34988	35
1597	81240	66	58	17	68	50	45549	13
207	14688	10	4	0	0	0	6023	5
1645	181633	70	47	30	110	73	64466	96
2429	271856	103	109	37	147	86	54990	151
151	7199	5	7	0	0	0	1644	6
474	46660	20	12	5	15	13	6179	13
141	17547	5	0	1	4	4	3926	3
1639	133368	36	37	16	64	57	32755	56
872	95227	34	37	32	111	48	34777	23
1318	152601	48	46	24	85	46	73224	57
1018	98146	40	15	17	68	48	27114	14
1383	79619	43	42	11	40	32	20760	43
1314	59194	31	7	24	80	68	37636	20
1335	139942	42	54	22	88	87	65461	72
1403	118612	46	54	12	48	43	30080	87
910	72880	33	14	19	76	67	24094	21
616	65475	18	16	13	51	46	69008	56
1407	99643	55	33	17	67	46	54968	59
771	71965	35	32	15	59	56	46090	82
766	77272	59	21	16	61	48	27507	43
473	49289	19	15	24	76	44	10672	25
1376	135131	66	38	15	60	60	34029	38
1232	108446	60	22	17	68	65	46300	25
1521	89746	36	28	18	71	55	24760	38
572	44296	25	10	20	76	38	18779	12
1059	77648	47	31	16	62	52	21280	29
1544	181528	54	32	16	61	60	40662	47
1230	134019	53	32	18	67	54	28987	45
1206	124064	40	43	22	88	86	22827	40
1205	92630	40	27	8	30	24	18513	30
1255	121848	39	37	17	64	52	30594	41
613	52915	14	20	18	68	49	24006	25
721	81872	45	32	16	64	61	27913	23
1109	58981	36	0	23	91	61	42744	14
740	53515	28	5	22	88	81	12934	16
1126	60812	44	26	13	52	43	22574	26
728	56375	30	10	13	49	40	41385	21
689	65490	22	27	16	62	40	18653	27
592	80949	17	11	16	61	56	18472	9
995	76302	31	29	20	76	68	30976	33
1613	104011	55	25	22	88	79	63339	42
2048	98104	54	55	17	66	47	25568	68
705	67989	21	23	18	71	57	33747	32
301	30989	14	5	17	68	41	4154	6
1803	135458	81	43	12	48	29	19474	67
799	73504	35	23	7	25	3	35130	33
861	63123	43	34	17	68	60	39067	77
1186	61254	46	36	14	41	30	13310	46
1451	74914	30	35	23	90	79	65892	30
628	31774	23	0	17	66	47	4143	0
1161	81437	38	37	14	54	40	28579	36
1463	87186	54	28	15	59	48	51776	46
742	50090	20	16	17	60	36	21152	18
979	65745	53	26	21	77	42	38084	48
675	56653	45	38	18	68	49	27717	29
1241	158399	39	23	18	72	57	32928	28
676	46455	20	22	17	67	12	11342	34
1049	73624	24	30	17	64	40	19499	33
620	38395	31	16	16	63	43	16380	34
1081	91899	35	18	15	59	33	36874	33
1688	139526	151	28	21	84	77	48259	80
736	52164	52	32	16	64	43	16734	32
617	51567	30	21	14	56	45	28207	30
812	70551	31	23	15	54	47	30143	41
1051	84856	29	29	17	67	43	41369	41
1656	102538	57	50	15	58	45	45833	51
705	86678	40	12	15	59	50	29156	18
945	85709	44	21	10	40	35	35944	34
554	34662	25	18	6	22	7	36278	31
1597	150580	77	27	22	83	71	45588	39
982	99611	35	41	21	81	67	45097	54
222	19349	11	13	1	2	0	3895	14
1212	99373	63	12	18	72	62	28394	24
1143	86230	44	21	17	61	54	18632	24
435	30837	19	8	4	15	4	2325	8
532	31706	13	26	10	32	25	25139	26
882	89806	42	27	16	62	40	27975	19
608	62088	38	13	16	58	38	14483	11
459	40151	29	16	9	36	19	13127	14
578	27634	20	2	16	59	17	5839	1
826	76990	27	42	17	68	67	24069	39
509	37460	20	5	7	21	14	3738	5
717	54157	19	37	15	55	30	18625	37
637	49862	37	17	14	54	54	36341	32
857	84337	26	38	14	55	35	24548	38
830	64175	42	37	18	72	59	21792	47
652	59382	49	29	12	41	24	26263	47
707	119308	30	32	16	61	58	23686	37
954	76702	49	35	21	67	42	49303	51
1461	103425	67	17	19	76	46	25659	45
672	70344	28	20	16	64	61	28904	21
778	43410	19	7	1	3	3	2781	1
1141	104838	49	46	16	63	52	29236	42
680	62215	27	24	10	40	25	19546	26
1090	69304	30	40	19	69	40	22818	21
616	53117	22	3	12	48	32	32689	4
285	19764	12	10	2	8	4	5752	10
1145	86680	31	37	14	52	49	22197	43
733	84105	20	17	17	66	63	20055	34
888	77945	20	28	19	76	67	25272	31
849	89113	39	19	14	43	32	82206	19
1182	91005	29	29	11	39	23	32073	34
528	40248	16	8	4	14	7	5444	6
642	64187	27	10	16	61	54	20154	11
947	50857	21	15	20	71	37	36944	24
819	56613	19	15	12	44	35	8019	16
757	62792	35	28	15	60	51	30884	72
894	72535	14	17	16	64	39	19540	21

Tables (Output of Computation)





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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 10 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160541&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160541&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160541&T=0

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


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

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






Multiple Linear Regression - Estimated Regression Equation
time_in_rfc[t] = -14572.9832946166 + 59.4008766837339pageviews[t] + 110.222841956747logins[t] + 115.996280761006blogged_computations[t] -462.263560688834compendiums_reviewed[t] + 303.490470888175feedback_messages_p1[t] + 137.429192617895feedback_messages_p120[t] + 0.117709478154769totsize[t] + 355.523266890924totblogs[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
time_in_rfc[t] =  -14572.9832946166 +  59.4008766837339pageviews[t] +  110.222841956747logins[t] +  115.996280761006blogged_computations[t] -462.263560688834compendiums_reviewed[t] +  303.490470888175feedback_messages_p1[t] +  137.429192617895feedback_messages_p120[t] +  0.117709478154769totsize[t] +  355.523266890924totblogs[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160541&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]time_in_rfc[t] =  -14572.9832946166 +  59.4008766837339pageviews[t] +  110.222841956747logins[t] +  115.996280761006blogged_computations[t] -462.263560688834compendiums_reviewed[t] +  303.490470888175feedback_messages_p1[t] +  137.429192617895feedback_messages_p120[t] +  0.117709478154769totsize[t] +  355.523266890924totblogs[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160541&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160541&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
time_in_rfc[t] = -14572.9832946166 + 59.4008766837339pageviews[t] + 110.222841956747logins[t] + 115.996280761006blogged_computations[t] -462.263560688834compendiums_reviewed[t] + 303.490470888175feedback_messages_p1[t] + 137.429192617895feedback_messages_p120[t] + 0.117709478154769totsize[t] + 355.523266890924totblogs[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-14572.98329461664546.347376-3.20540.0015050.000752
pageviews59.40087668373394.50838613.175600
logins110.22284195674778.4786271.40450.161280.08064
blogged_computations115.996280761006116.1853650.99840.3189610.15948
compendiums_reviewed-462.263560688834909.650092-0.50820.6117290.305865
feedback_messages_p1303.490470888175275.8307321.10030.2721560.136078
feedback_messages_p120137.429192617895134.5850081.02110.3080730.154036
totsize0.1177094781547690.0768091.53250.1265310.063266
totblogs355.52326689092482.6855684.29972.4e-051.2e-05

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & -14572.9832946166 & 4546.347376 & -3.2054 & 0.001505 & 0.000752 \tabularnewline
pageviews & 59.4008766837339 & 4.508386 & 13.1756 & 0 & 0 \tabularnewline
logins & 110.222841956747 & 78.478627 & 1.4045 & 0.16128 & 0.08064 \tabularnewline
blogged_computations & 115.996280761006 & 116.185365 & 0.9984 & 0.318961 & 0.15948 \tabularnewline
compendiums_reviewed & -462.263560688834 & 909.650092 & -0.5082 & 0.611729 & 0.305865 \tabularnewline
feedback_messages_p1 & 303.490470888175 & 275.830732 & 1.1003 & 0.272156 & 0.136078 \tabularnewline
feedback_messages_p120 & 137.429192617895 & 134.585008 & 1.0211 & 0.308073 & 0.154036 \tabularnewline
totsize & 0.117709478154769 & 0.076809 & 1.5325 & 0.126531 & 0.063266 \tabularnewline
totblogs & 355.523266890924 & 82.685568 & 4.2997 & 2.4e-05 & 1.2e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160541&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]-14572.9832946166[/C][C]4546.347376[/C][C]-3.2054[/C][C]0.001505[/C][C]0.000752[/C][/ROW]
[ROW][C]pageviews[/C][C]59.4008766837339[/C][C]4.508386[/C][C]13.1756[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]logins[/C][C]110.222841956747[/C][C]78.478627[/C][C]1.4045[/C][C]0.16128[/C][C]0.08064[/C][/ROW]
[ROW][C]blogged_computations[/C][C]115.996280761006[/C][C]116.185365[/C][C]0.9984[/C][C]0.318961[/C][C]0.15948[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]-462.263560688834[/C][C]909.650092[/C][C]-0.5082[/C][C]0.611729[/C][C]0.305865[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]303.490470888175[/C][C]275.830732[/C][C]1.1003[/C][C]0.272156[/C][C]0.136078[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]137.429192617895[/C][C]134.585008[/C][C]1.0211[/C][C]0.308073[/C][C]0.154036[/C][/ROW]
[ROW][C]totsize[/C][C]0.117709478154769[/C][C]0.076809[/C][C]1.5325[/C][C]0.126531[/C][C]0.063266[/C][/ROW]
[ROW][C]totblogs[/C][C]355.523266890924[/C][C]82.685568[/C][C]4.2997[/C][C]2.4e-05[/C][C]1.2e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160541&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160541&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-14572.98329461664546.347376-3.20540.0015050.000752
pageviews59.40087668373394.50838613.175600
logins110.22284195674778.4786271.40450.161280.08064
blogged_computations115.996280761006116.1853650.99840.3189610.15948
compendiums_reviewed-462.263560688834909.650092-0.50820.6117290.305865
feedback_messages_p1303.490470888175275.8307321.10030.2721560.136078
feedback_messages_p120137.429192617895134.5850081.02110.3080730.154036
totsize0.1177094781547690.0768091.53250.1265310.063266
totblogs355.52326689092482.6855684.29972.4e-051.2e-05






Multiple Linear Regression - Regression Statistics
Multiple R0.93946654484329
R-squared0.88259738887979
Adjusted R-squared0.87924302856207
F-TEST (value)263.11943419353
F-TEST (DF numerator)8
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28613.0289481446
Sum Squared Residuals229237519164.462

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.93946654484329 \tabularnewline
R-squared & 0.88259738887979 \tabularnewline
Adjusted R-squared & 0.87924302856207 \tabularnewline
F-TEST (value) & 263.11943419353 \tabularnewline
F-TEST (DF numerator) & 8 \tabularnewline
F-TEST (DF denominator) & 280 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 28613.0289481446 \tabularnewline
Sum Squared Residuals & 229237519164.462 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160541&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.93946654484329[/C][/ROW]
[ROW][C]R-squared[/C][C]0.88259738887979[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.87924302856207[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]263.11943419353[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]8[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]280[/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]28613.0289481446[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]229237519164.462[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160541&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160541&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.93946654484329
R-squared0.88259738887979
Adjusted R-squared0.87924302856207
F-TEST (value)263.11943419353
F-TEST (DF numerator)8
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28613.0289481446
Sum Squared Residuals229237519164.462






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907183713.36906396527193.6309360353
2120982130126.896215245-9144.89621524469
3176508173372.3218077523135.67819224758
4179321231115.793213317-51794.7932133165
512318592363.229846691630821.7701533084
65274665512.3763572889-12766.3763572889
7385534295054.02857612590479.9714238749
83317029063.5254884644106.47451153601
910164590960.009170390510684.9908296095
10149061163946.094372916-14885.0943729161
11165446142330.27560064523115.7243993552
12237213203286.62003942233926.3799605782
13173326180456.66170045-7130.66170044977
14133131134830.970070584-1699.97007058423
15258873230792.13986317428080.860136826
16180083158136.23909807721946.760901923
17324799375842.225453034-51043.2254530336
18230964210660.53178080720303.4682191928
19236785210236.02489747226548.9751025278
20135473144800.814927792-9327.81492779207
21202925223104.748935577-20179.7489355775
22215147214273.042264719873.95773528096
23344297219816.877204154124480.122795846
24153935126934.20725773627000.7927422642
25132943176304.204049651-43361.204049651
26174724249595.484568153-74871.4845681525
27174415210981.727977513-36566.7279775128
28225548231140.516692238-5592.51669223838
29223632189073.22137860234558.7786213982
30124817118386.4662197386430.53378026173
31221698197288.35172554524409.6482744548
32210767200698.35241093210068.6475890679
33170266187688.165188417-17422.1651884165
34260561216708.43264879143852.5673512091
358485393437.7942544391-8584.79425443908
36294424261848.11440285132575.8855971485
3710101171651.620088123129359.3799118769
38215641177867.31107741337773.688922587
39325107248189.69036696976917.309633031
407176-1483.13133076318659.1313307631
41167542154077.77014812213464.2298518783
4210640874752.071731759631655.9282682404
4396560138350.323299245-41790.3232992451
44265769254540.13679625111228.8632037495
45269651247678.25707137421972.7429286264
46149112147682.3201071611429.67989283895
47175824217766.281684712-41942.2816847124
48152871143969.632180968901.3678190403
49111665118762.935360119-7097.9353601186
50116408147204.762416752-30796.762416752
51362301336269.13298287126031.8670171294
527880080198.1673132741-1398.16731327408
53183167213084.048805664-29917.0488056638
54277965324815.680555689-46850.6805556887
55150629187792.385334015-37163.385334015
56168809167249.8077245461559.19227545363
572418824407.0400130508-219.040013050795
58329267265638.11527006363628.8847299366
596502965624.8272022528-595.827202252845
6010109796044.81888530225052.18111469776
61218946219284.922304709-338.922304709106
62244052248754.214773128-4702.21477312757
63341570376302.527256729-34732.5272567292
6410359788943.310797916614653.6892020834
65233328300203.69960341-66875.6996034105
66256462239270.48326314517191.5167368552
67206161172949.27011787633211.7298821244
68311473311892.993627458-419.993627458232
69235800259507.184793674-23707.1847936737
70177939188017.706225165-10078.7062251652
71207176200061.4117003397114.58829966119
72196553152787.84781340343765.1521865971
73174184148426.55402386125757.4459761395
74143246180179.291263515-36933.2912635153
75187559227787.640501799-40228.6405017992
76187681207827.184434323-20146.1844343226
77119016142846.702109233-23830.7021092332
78182192202553.997912665-20361.9979126654
797356681384.3388002086-7818.33880020864
80194979192103.4481387422875.55186125761
81167488160275.5168257177212.48317428334
82143756178243.174574341-34487.174574341
83275541205297.19795674370243.8020432567
84243199204570.66617261638628.333827384
85182999175265.0297016777733.97029832328
86135649164134.209964136-28485.209964136
87152299152292.6414074236.35859257659635
88120221127454.764865307-7233.76486530655
89346485282199.6838434364285.31615657
90145790123778.39214377722011.6078562232
91193339183353.9924081019985.007591899
928095381340.6766782342-387.67667823421
93122774128603.268504473-5829.26850447256
94130585138835.147909812-8250.14790981181
9511261195608.586304247917002.4136957521
96286468254293.29674650232174.7032534975
97241066190199.78667957750866.2133204234
98148446271953.923535421-123507.923535421
99204713175160.75877548429552.2412245156
100182079213770.691427763-31691.6914277631
101140344137838.3821462042505.6178537957
102220516229112.133761564-8596.13376156402
103243060205397.75945856837662.2405414321
104162765163124.973151499-359.973151498545
105182613180436.2561807042176.7438192962
106232138225059.4770767687078.52292323207
107265318304860.258445461-39542.2584454612
10885574105016.458603011-19442.4586030109
109310839314125.509685537-3286.50968553719
110225060216157.246549138902.7534508703
111232317233929.258217704-1612.25821770359
112144966139390.3661043585575.6338956419
1134328768368.129760723-25081.129760723
114155754152785.2061637842968.79383621611
115164709201931.341722781-37222.3417227809
116201940199848.2617147682091.73828523203
117235454227797.4160504737656.58394952746
118220801175832.24609485544968.7539051454
11999466114791.111471602-15325.1114716018
12092661120683.590521008-28022.5905210083
121133328142124.345087713-8796.34508771337
1226136189454.2660974918-28093.2660974918
123125930169341.72368786-43411.7236878598
124100750151313.380328689-50563.3803286893
125224549165245.50027697759303.4997230226
1268231665449.587481944416866.4125180556
12710201089828.575181287712181.4248187124
128101523135158.412816865-33635.4128168653
129243511224689.75725158718821.2427484134
1302293814732.9203230198205.07967698097
1314156647264.5277970858-5698.52779708578
132152474177794.738545277-25320.7385452767
1336185743999.095895841617857.9041041584
13499923161982.662360146-62059.6623601455
135132487155049.247321771-22562.2473217708
136317394262450.42488322354943.5751167768
1372105412165.44124772658888.55875227353
138209641165872.83824087943768.1617591206
1392264848812.6247749893-26164.6247749893
1403141436933.1878098898-5519.18780988977
1414669860027.2562724282-13329.2562724282
142131698157124.600834586-25426.6008345856
1439173579355.768259205812379.2317407942
144244749250700.72390391-5951.72390391005
145184510182407.2221638152102.7778361849
14679863112148.754391134-32285.7543911336
147128423134353.456584048-5930.45658404779
14897839122314.599512093-24475.5995120935
1493821438873.4165760022-659.416576002189
150151101151155.362799737-54.3627997370153
151272458240172.04450015532285.9554998445
152172494168567.4892540993926.51074590123
153108043114961.039213758-6918.03921375841
154328107288548.92063880939558.0793611913
155250579230921.46489559819657.5351044016
156351067338191.74546541812875.2545345818
157158015128553.14558858329461.8544114165
1589886688041.546603363510824.4533966365
1598543999468.733043421-14029.7330434209
160229242231046.425900059-1804.4259000589
161351619344832.1698266626786.83017333844
16284207103085.575710298-18878.5757102982
163120445131255.045006489-10810.0450064891
164324598310081.23713767314516.7628623267
165131069153139.833924654-22070.8339246538
166204271175568.16201865828702.8379813422
167165543182614.692116167-17071.6921161668
168141722129101.23632192212620.7636780781
169116048100482.59490757515565.4050924249
170250047162353.69115364487693.308846356
171299775288540.34293191911234.6570680812
172195838219239.873045474-23401.8730454737
173173260152711.49131204520548.5086879546
174254488249970.5127388054517.48726119538
175104389182331.467704627-77942.4677046269
176136084118059.77003027118024.2299697292
177199476229092.353666842-29616.3536668418
1789249979708.835822481712790.1641775183
179224330239713.754686503-15383.7546865028
18013578195629.783858436640151.2161415634
18174408100185.644499224-25777.6444992236
18281240123926.391232224-42686.3912322241
183146881775.7922429086612912.2077570913
184181633167575.7518612614057.2481387402
185271856253193.40903914218662.5909608583
1867199-1913.708756829949112.70875682994
1874666026556.192560751720103.8074392483
18817547-2816.2331671824920363.2331671825
189133368134670.452336516-1302.45233651642
1909522783026.247420769312200.7525792307
191152601124251.98997404828349.0100259517
1929814679590.340320615518555.6596793845
19379619106373.458229615-26754.458229615
19459194101779.327303986-42585.3273039861
195139942137417.1038278442524.89617215639
196118612129501.557063108-10889.5570631085
1977288078535.2210139908-5655.2210139908
1986547569680.4375911223-4205.43759112233
19999643125137.434992128-25494.4349921278
2007196592040.9299732616-20075.9299732616
2017727276105.7959072821166.20409271797
2024928945519.92161468033769.07838531972
203135131115881.8356342819249.1643657198
204108446103823.9849935784622.0150064217
20589746120201.724068707-30455.7240687065
2064429648838.911411172-4542.91141117206
2077764888490.4460641622-10842.4460641622
208181528127664.23440991953863.7655900813
209134019106888.67214627527130.3278537252
210124064111725.38633857912338.6136614205
2119263086095.64620787086534.35379212919
212121848105454.55550639816393.4444936018
2135291556467.2532862571-3552.25328625709
2148187268799.971384500113072.0286154999
2155898190648.0626334799-31667.0626334799
2165351567929.8407957035-14414.8407957035
2176081287760.4243759803-26948.4243759803
2185637559833.6728448802-3458.67284488021
2196549060623.14587490884866.85412509118
2208094947928.858526042333020.1414739577
2217630289855.315522891-13553.315522891
222104011139984.641288975-35973.6412889749
22398104165228.081747184-67124.0817471844
2246798968696.8585256906-707.858525690612
2253098926465.35493800674523.64506199332
226135458145560.847356939-10102.8473569386
2277350460045.137301889813458.8626981102
2286312398253.0980595255-35130.0980595255
2296125493137.6519562292-31883.6519562292
23074914124945.041501027-50031.0415010269
2313177444384.6255957191-12610.6255957191
2328143794448.584985004-13011.584985004
23387186121547.610456311-34361.6104563112
2345009057750.4728778158-7660.47287781584
2356574593419.4110529388-27674.4110529388
2365665367513.8617360019-10860.8617360019
237158399101304.73292410957094.2670758909
2384645557885.7676641997-11430.7676641997
2397362484953.3352082015-11329.3352082015
2403839559177.4191461034-20782.4191461034
2419189987164.93175602384734.06824397621
242139526166077.357213567-26551.3572135672
2435216469872.6541070574-17708.6541070574
2445156758513.9842188695-6946.98421886945
2457055173783.6259439547-3232.62594395472
2468485692248.5063034821-7392.50630348212
247102538136256.857215923-33718.8572159232
2488667860780.304166899425897.6958331006
2498570977492.31764094148216.68235905865
2503466243335.3055566383-8673.30555663826
251150580135918.20570382314661.7942961765
25299611100961.874609829-1350.87460982862
253193496914.9357755629512434.0642244371
2549937399682.8547404438-309.854740443767
2558623089409.2816931659-3179.28169316589
2563083720659.4825689510177.51743105
2573170642204.5761338311-10498.5761338311
2588980672545.073534235817260.9264657642
2596208848283.251341231613804.7486587684
2604015133643.35963386446507.64036613557
2612763436086.0188249604-8452.01882496037
2627699081025.1856034799-4035.18560347989
2633746025725.579204621511734.4207953785
2645415763631.1398456068-9474.13984560676
2654986262307.9537440748-12445.9537440748
2668433775036.94478556779300.05521443232
2676417584564.5767710507-20389.5767710507
2685938262916.4444707585-3534.44447075847
26911930869472.025263371249835.9747366288
2707670291889.7120220769-15187.7120220769
271103425121191.430229259-17766.4302292592
2727034462029.18830366998314.81169633009
2734341036090.47548330237319.52451669765
274104838101183.4973962273654.50260377349
2756221554076.6077646828138.39223531805
2766930485927.394799953-16623.394799953
2775311743478.86034499899638.13965500108
2781976411124.31447479348639.68552520659
2798668095093.9338348045-8413.93383480451
2808410568422.637267154515682.3627328455
2817794581113.3471463406-3168.34714634059
2828911369768.483175084719344.5168249153
2839100587974.39529879433030.60470120573
2844024825617.982010215414630.0179897846
2856418752519.309989837811667.6900101622
2865085776002.920529864-25145.920529864
2875661357159.2372259726-546.237225972644
2886279285016.5540907133-22224.5540907133
2897253569199.40050674643335.59949325359

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 210907 & 183713.369063965 & 27193.6309360353 \tabularnewline
2 & 120982 & 130126.896215245 & -9144.89621524469 \tabularnewline
3 & 176508 & 173372.321807752 & 3135.67819224758 \tabularnewline
4 & 179321 & 231115.793213317 & -51794.7932133165 \tabularnewline
5 & 123185 & 92363.2298466916 & 30821.7701533084 \tabularnewline
6 & 52746 & 65512.3763572889 & -12766.3763572889 \tabularnewline
7 & 385534 & 295054.028576125 & 90479.9714238749 \tabularnewline
8 & 33170 & 29063.525488464 & 4106.47451153601 \tabularnewline
9 & 101645 & 90960.0091703905 & 10684.9908296095 \tabularnewline
10 & 149061 & 163946.094372916 & -14885.0943729161 \tabularnewline
11 & 165446 & 142330.275600645 & 23115.7243993552 \tabularnewline
12 & 237213 & 203286.620039422 & 33926.3799605782 \tabularnewline
13 & 173326 & 180456.66170045 & -7130.66170044977 \tabularnewline
14 & 133131 & 134830.970070584 & -1699.97007058423 \tabularnewline
15 & 258873 & 230792.139863174 & 28080.860136826 \tabularnewline
16 & 180083 & 158136.239098077 & 21946.760901923 \tabularnewline
17 & 324799 & 375842.225453034 & -51043.2254530336 \tabularnewline
18 & 230964 & 210660.531780807 & 20303.4682191928 \tabularnewline
19 & 236785 & 210236.024897472 & 26548.9751025278 \tabularnewline
20 & 135473 & 144800.814927792 & -9327.81492779207 \tabularnewline
21 & 202925 & 223104.748935577 & -20179.7489355775 \tabularnewline
22 & 215147 & 214273.042264719 & 873.95773528096 \tabularnewline
23 & 344297 & 219816.877204154 & 124480.122795846 \tabularnewline
24 & 153935 & 126934.207257736 & 27000.7927422642 \tabularnewline
25 & 132943 & 176304.204049651 & -43361.204049651 \tabularnewline
26 & 174724 & 249595.484568153 & -74871.4845681525 \tabularnewline
27 & 174415 & 210981.727977513 & -36566.7279775128 \tabularnewline
28 & 225548 & 231140.516692238 & -5592.51669223838 \tabularnewline
29 & 223632 & 189073.221378602 & 34558.7786213982 \tabularnewline
30 & 124817 & 118386.466219738 & 6430.53378026173 \tabularnewline
31 & 221698 & 197288.351725545 & 24409.6482744548 \tabularnewline
32 & 210767 & 200698.352410932 & 10068.6475890679 \tabularnewline
33 & 170266 & 187688.165188417 & -17422.1651884165 \tabularnewline
34 & 260561 & 216708.432648791 & 43852.5673512091 \tabularnewline
35 & 84853 & 93437.7942544391 & -8584.79425443908 \tabularnewline
36 & 294424 & 261848.114402851 & 32575.8855971485 \tabularnewline
37 & 101011 & 71651.6200881231 & 29359.3799118769 \tabularnewline
38 & 215641 & 177867.311077413 & 37773.688922587 \tabularnewline
39 & 325107 & 248189.690366969 & 76917.309633031 \tabularnewline
40 & 7176 & -1483.1313307631 & 8659.1313307631 \tabularnewline
41 & 167542 & 154077.770148122 & 13464.2298518783 \tabularnewline
42 & 106408 & 74752.0717317596 & 31655.9282682404 \tabularnewline
43 & 96560 & 138350.323299245 & -41790.3232992451 \tabularnewline
44 & 265769 & 254540.136796251 & 11228.8632037495 \tabularnewline
45 & 269651 & 247678.257071374 & 21972.7429286264 \tabularnewline
46 & 149112 & 147682.320107161 & 1429.67989283895 \tabularnewline
47 & 175824 & 217766.281684712 & -41942.2816847124 \tabularnewline
48 & 152871 & 143969.63218096 & 8901.3678190403 \tabularnewline
49 & 111665 & 118762.935360119 & -7097.9353601186 \tabularnewline
50 & 116408 & 147204.762416752 & -30796.762416752 \tabularnewline
51 & 362301 & 336269.132982871 & 26031.8670171294 \tabularnewline
52 & 78800 & 80198.1673132741 & -1398.16731327408 \tabularnewline
53 & 183167 & 213084.048805664 & -29917.0488056638 \tabularnewline
54 & 277965 & 324815.680555689 & -46850.6805556887 \tabularnewline
55 & 150629 & 187792.385334015 & -37163.385334015 \tabularnewline
56 & 168809 & 167249.807724546 & 1559.19227545363 \tabularnewline
57 & 24188 & 24407.0400130508 & -219.040013050795 \tabularnewline
58 & 329267 & 265638.115270063 & 63628.8847299366 \tabularnewline
59 & 65029 & 65624.8272022528 & -595.827202252845 \tabularnewline
60 & 101097 & 96044.8188853022 & 5052.18111469776 \tabularnewline
61 & 218946 & 219284.922304709 & -338.922304709106 \tabularnewline
62 & 244052 & 248754.214773128 & -4702.21477312757 \tabularnewline
63 & 341570 & 376302.527256729 & -34732.5272567292 \tabularnewline
64 & 103597 & 88943.3107979166 & 14653.6892020834 \tabularnewline
65 & 233328 & 300203.69960341 & -66875.6996034105 \tabularnewline
66 & 256462 & 239270.483263145 & 17191.5167368552 \tabularnewline
67 & 206161 & 172949.270117876 & 33211.7298821244 \tabularnewline
68 & 311473 & 311892.993627458 & -419.993627458232 \tabularnewline
69 & 235800 & 259507.184793674 & -23707.1847936737 \tabularnewline
70 & 177939 & 188017.706225165 & -10078.7062251652 \tabularnewline
71 & 207176 & 200061.411700339 & 7114.58829966119 \tabularnewline
72 & 196553 & 152787.847813403 & 43765.1521865971 \tabularnewline
73 & 174184 & 148426.554023861 & 25757.4459761395 \tabularnewline
74 & 143246 & 180179.291263515 & -36933.2912635153 \tabularnewline
75 & 187559 & 227787.640501799 & -40228.6405017992 \tabularnewline
76 & 187681 & 207827.184434323 & -20146.1844343226 \tabularnewline
77 & 119016 & 142846.702109233 & -23830.7021092332 \tabularnewline
78 & 182192 & 202553.997912665 & -20361.9979126654 \tabularnewline
79 & 73566 & 81384.3388002086 & -7818.33880020864 \tabularnewline
80 & 194979 & 192103.448138742 & 2875.55186125761 \tabularnewline
81 & 167488 & 160275.516825717 & 7212.48317428334 \tabularnewline
82 & 143756 & 178243.174574341 & -34487.174574341 \tabularnewline
83 & 275541 & 205297.197956743 & 70243.8020432567 \tabularnewline
84 & 243199 & 204570.666172616 & 38628.333827384 \tabularnewline
85 & 182999 & 175265.029701677 & 7733.97029832328 \tabularnewline
86 & 135649 & 164134.209964136 & -28485.209964136 \tabularnewline
87 & 152299 & 152292.641407423 & 6.35859257659635 \tabularnewline
88 & 120221 & 127454.764865307 & -7233.76486530655 \tabularnewline
89 & 346485 & 282199.68384343 & 64285.31615657 \tabularnewline
90 & 145790 & 123778.392143777 & 22011.6078562232 \tabularnewline
91 & 193339 & 183353.992408101 & 9985.007591899 \tabularnewline
92 & 80953 & 81340.6766782342 & -387.67667823421 \tabularnewline
93 & 122774 & 128603.268504473 & -5829.26850447256 \tabularnewline
94 & 130585 & 138835.147909812 & -8250.14790981181 \tabularnewline
95 & 112611 & 95608.5863042479 & 17002.4136957521 \tabularnewline
96 & 286468 & 254293.296746502 & 32174.7032534975 \tabularnewline
97 & 241066 & 190199.786679577 & 50866.2133204234 \tabularnewline
98 & 148446 & 271953.923535421 & -123507.923535421 \tabularnewline
99 & 204713 & 175160.758775484 & 29552.2412245156 \tabularnewline
100 & 182079 & 213770.691427763 & -31691.6914277631 \tabularnewline
101 & 140344 & 137838.382146204 & 2505.6178537957 \tabularnewline
102 & 220516 & 229112.133761564 & -8596.13376156402 \tabularnewline
103 & 243060 & 205397.759458568 & 37662.2405414321 \tabularnewline
104 & 162765 & 163124.973151499 & -359.973151498545 \tabularnewline
105 & 182613 & 180436.256180704 & 2176.7438192962 \tabularnewline
106 & 232138 & 225059.477076768 & 7078.52292323207 \tabularnewline
107 & 265318 & 304860.258445461 & -39542.2584454612 \tabularnewline
108 & 85574 & 105016.458603011 & -19442.4586030109 \tabularnewline
109 & 310839 & 314125.509685537 & -3286.50968553719 \tabularnewline
110 & 225060 & 216157.24654913 & 8902.7534508703 \tabularnewline
111 & 232317 & 233929.258217704 & -1612.25821770359 \tabularnewline
112 & 144966 & 139390.366104358 & 5575.6338956419 \tabularnewline
113 & 43287 & 68368.129760723 & -25081.129760723 \tabularnewline
114 & 155754 & 152785.206163784 & 2968.79383621611 \tabularnewline
115 & 164709 & 201931.341722781 & -37222.3417227809 \tabularnewline
116 & 201940 & 199848.261714768 & 2091.73828523203 \tabularnewline
117 & 235454 & 227797.416050473 & 7656.58394952746 \tabularnewline
118 & 220801 & 175832.246094855 & 44968.7539051454 \tabularnewline
119 & 99466 & 114791.111471602 & -15325.1114716018 \tabularnewline
120 & 92661 & 120683.590521008 & -28022.5905210083 \tabularnewline
121 & 133328 & 142124.345087713 & -8796.34508771337 \tabularnewline
122 & 61361 & 89454.2660974918 & -28093.2660974918 \tabularnewline
123 & 125930 & 169341.72368786 & -43411.7236878598 \tabularnewline
124 & 100750 & 151313.380328689 & -50563.3803286893 \tabularnewline
125 & 224549 & 165245.500276977 & 59303.4997230226 \tabularnewline
126 & 82316 & 65449.5874819444 & 16866.4125180556 \tabularnewline
127 & 102010 & 89828.5751812877 & 12181.4248187124 \tabularnewline
128 & 101523 & 135158.412816865 & -33635.4128168653 \tabularnewline
129 & 243511 & 224689.757251587 & 18821.2427484134 \tabularnewline
130 & 22938 & 14732.920323019 & 8205.07967698097 \tabularnewline
131 & 41566 & 47264.5277970858 & -5698.52779708578 \tabularnewline
132 & 152474 & 177794.738545277 & -25320.7385452767 \tabularnewline
133 & 61857 & 43999.0958958416 & 17857.9041041584 \tabularnewline
134 & 99923 & 161982.662360146 & -62059.6623601455 \tabularnewline
135 & 132487 & 155049.247321771 & -22562.2473217708 \tabularnewline
136 & 317394 & 262450.424883223 & 54943.5751167768 \tabularnewline
137 & 21054 & 12165.4412477265 & 8888.55875227353 \tabularnewline
138 & 209641 & 165872.838240879 & 43768.1617591206 \tabularnewline
139 & 22648 & 48812.6247749893 & -26164.6247749893 \tabularnewline
140 & 31414 & 36933.1878098898 & -5519.18780988977 \tabularnewline
141 & 46698 & 60027.2562724282 & -13329.2562724282 \tabularnewline
142 & 131698 & 157124.600834586 & -25426.6008345856 \tabularnewline
143 & 91735 & 79355.7682592058 & 12379.2317407942 \tabularnewline
144 & 244749 & 250700.72390391 & -5951.72390391005 \tabularnewline
145 & 184510 & 182407.222163815 & 2102.7778361849 \tabularnewline
146 & 79863 & 112148.754391134 & -32285.7543911336 \tabularnewline
147 & 128423 & 134353.456584048 & -5930.45658404779 \tabularnewline
148 & 97839 & 122314.599512093 & -24475.5995120935 \tabularnewline
149 & 38214 & 38873.4165760022 & -659.416576002189 \tabularnewline
150 & 151101 & 151155.362799737 & -54.3627997370153 \tabularnewline
151 & 272458 & 240172.044500155 & 32285.9554998445 \tabularnewline
152 & 172494 & 168567.489254099 & 3926.51074590123 \tabularnewline
153 & 108043 & 114961.039213758 & -6918.03921375841 \tabularnewline
154 & 328107 & 288548.920638809 & 39558.0793611913 \tabularnewline
155 & 250579 & 230921.464895598 & 19657.5351044016 \tabularnewline
156 & 351067 & 338191.745465418 & 12875.2545345818 \tabularnewline
157 & 158015 & 128553.145588583 & 29461.8544114165 \tabularnewline
158 & 98866 & 88041.5466033635 & 10824.4533966365 \tabularnewline
159 & 85439 & 99468.733043421 & -14029.7330434209 \tabularnewline
160 & 229242 & 231046.425900059 & -1804.4259000589 \tabularnewline
161 & 351619 & 344832.169826662 & 6786.83017333844 \tabularnewline
162 & 84207 & 103085.575710298 & -18878.5757102982 \tabularnewline
163 & 120445 & 131255.045006489 & -10810.0450064891 \tabularnewline
164 & 324598 & 310081.237137673 & 14516.7628623267 \tabularnewline
165 & 131069 & 153139.833924654 & -22070.8339246538 \tabularnewline
166 & 204271 & 175568.162018658 & 28702.8379813422 \tabularnewline
167 & 165543 & 182614.692116167 & -17071.6921161668 \tabularnewline
168 & 141722 & 129101.236321922 & 12620.7636780781 \tabularnewline
169 & 116048 & 100482.594907575 & 15565.4050924249 \tabularnewline
170 & 250047 & 162353.691153644 & 87693.308846356 \tabularnewline
171 & 299775 & 288540.342931919 & 11234.6570680812 \tabularnewline
172 & 195838 & 219239.873045474 & -23401.8730454737 \tabularnewline
173 & 173260 & 152711.491312045 & 20548.5086879546 \tabularnewline
174 & 254488 & 249970.512738805 & 4517.48726119538 \tabularnewline
175 & 104389 & 182331.467704627 & -77942.4677046269 \tabularnewline
176 & 136084 & 118059.770030271 & 18024.2299697292 \tabularnewline
177 & 199476 & 229092.353666842 & -29616.3536668418 \tabularnewline
178 & 92499 & 79708.8358224817 & 12790.1641775183 \tabularnewline
179 & 224330 & 239713.754686503 & -15383.7546865028 \tabularnewline
180 & 135781 & 95629.7838584366 & 40151.2161415634 \tabularnewline
181 & 74408 & 100185.644499224 & -25777.6444992236 \tabularnewline
182 & 81240 & 123926.391232224 & -42686.3912322241 \tabularnewline
183 & 14688 & 1775.79224290866 & 12912.2077570913 \tabularnewline
184 & 181633 & 167575.75186126 & 14057.2481387402 \tabularnewline
185 & 271856 & 253193.409039142 & 18662.5909608583 \tabularnewline
186 & 7199 & -1913.70875682994 & 9112.70875682994 \tabularnewline
187 & 46660 & 26556.1925607517 & 20103.8074392483 \tabularnewline
188 & 17547 & -2816.23316718249 & 20363.2331671825 \tabularnewline
189 & 133368 & 134670.452336516 & -1302.45233651642 \tabularnewline
190 & 95227 & 83026.2474207693 & 12200.7525792307 \tabularnewline
191 & 152601 & 124251.989974048 & 28349.0100259517 \tabularnewline
192 & 98146 & 79590.3403206155 & 18555.6596793845 \tabularnewline
193 & 79619 & 106373.458229615 & -26754.458229615 \tabularnewline
194 & 59194 & 101779.327303986 & -42585.3273039861 \tabularnewline
195 & 139942 & 137417.103827844 & 2524.89617215639 \tabularnewline
196 & 118612 & 129501.557063108 & -10889.5570631085 \tabularnewline
197 & 72880 & 78535.2210139908 & -5655.2210139908 \tabularnewline
198 & 65475 & 69680.4375911223 & -4205.43759112233 \tabularnewline
199 & 99643 & 125137.434992128 & -25494.4349921278 \tabularnewline
200 & 71965 & 92040.9299732616 & -20075.9299732616 \tabularnewline
201 & 77272 & 76105.795907282 & 1166.20409271797 \tabularnewline
202 & 49289 & 45519.9216146803 & 3769.07838531972 \tabularnewline
203 & 135131 & 115881.83563428 & 19249.1643657198 \tabularnewline
204 & 108446 & 103823.984993578 & 4622.0150064217 \tabularnewline
205 & 89746 & 120201.724068707 & -30455.7240687065 \tabularnewline
206 & 44296 & 48838.911411172 & -4542.91141117206 \tabularnewline
207 & 77648 & 88490.4460641622 & -10842.4460641622 \tabularnewline
208 & 181528 & 127664.234409919 & 53863.7655900813 \tabularnewline
209 & 134019 & 106888.672146275 & 27130.3278537252 \tabularnewline
210 & 124064 & 111725.386338579 & 12338.6136614205 \tabularnewline
211 & 92630 & 86095.6462078708 & 6534.35379212919 \tabularnewline
212 & 121848 & 105454.555506398 & 16393.4444936018 \tabularnewline
213 & 52915 & 56467.2532862571 & -3552.25328625709 \tabularnewline
214 & 81872 & 68799.9713845001 & 13072.0286154999 \tabularnewline
215 & 58981 & 90648.0626334799 & -31667.0626334799 \tabularnewline
216 & 53515 & 67929.8407957035 & -14414.8407957035 \tabularnewline
217 & 60812 & 87760.4243759803 & -26948.4243759803 \tabularnewline
218 & 56375 & 59833.6728448802 & -3458.67284488021 \tabularnewline
219 & 65490 & 60623.1458749088 & 4866.85412509118 \tabularnewline
220 & 80949 & 47928.8585260423 & 33020.1414739577 \tabularnewline
221 & 76302 & 89855.315522891 & -13553.315522891 \tabularnewline
222 & 104011 & 139984.641288975 & -35973.6412889749 \tabularnewline
223 & 98104 & 165228.081747184 & -67124.0817471844 \tabularnewline
224 & 67989 & 68696.8585256906 & -707.858525690612 \tabularnewline
225 & 30989 & 26465.3549380067 & 4523.64506199332 \tabularnewline
226 & 135458 & 145560.847356939 & -10102.8473569386 \tabularnewline
227 & 73504 & 60045.1373018898 & 13458.8626981102 \tabularnewline
228 & 63123 & 98253.0980595255 & -35130.0980595255 \tabularnewline
229 & 61254 & 93137.6519562292 & -31883.6519562292 \tabularnewline
230 & 74914 & 124945.041501027 & -50031.0415010269 \tabularnewline
231 & 31774 & 44384.6255957191 & -12610.6255957191 \tabularnewline
232 & 81437 & 94448.584985004 & -13011.584985004 \tabularnewline
233 & 87186 & 121547.610456311 & -34361.6104563112 \tabularnewline
234 & 50090 & 57750.4728778158 & -7660.47287781584 \tabularnewline
235 & 65745 & 93419.4110529388 & -27674.4110529388 \tabularnewline
236 & 56653 & 67513.8617360019 & -10860.8617360019 \tabularnewline
237 & 158399 & 101304.732924109 & 57094.2670758909 \tabularnewline
238 & 46455 & 57885.7676641997 & -11430.7676641997 \tabularnewline
239 & 73624 & 84953.3352082015 & -11329.3352082015 \tabularnewline
240 & 38395 & 59177.4191461034 & -20782.4191461034 \tabularnewline
241 & 91899 & 87164.9317560238 & 4734.06824397621 \tabularnewline
242 & 139526 & 166077.357213567 & -26551.3572135672 \tabularnewline
243 & 52164 & 69872.6541070574 & -17708.6541070574 \tabularnewline
244 & 51567 & 58513.9842188695 & -6946.98421886945 \tabularnewline
245 & 70551 & 73783.6259439547 & -3232.62594395472 \tabularnewline
246 & 84856 & 92248.5063034821 & -7392.50630348212 \tabularnewline
247 & 102538 & 136256.857215923 & -33718.8572159232 \tabularnewline
248 & 86678 & 60780.3041668994 & 25897.6958331006 \tabularnewline
249 & 85709 & 77492.3176409414 & 8216.68235905865 \tabularnewline
250 & 34662 & 43335.3055566383 & -8673.30555663826 \tabularnewline
251 & 150580 & 135918.205703823 & 14661.7942961765 \tabularnewline
252 & 99611 & 100961.874609829 & -1350.87460982862 \tabularnewline
253 & 19349 & 6914.93577556295 & 12434.0642244371 \tabularnewline
254 & 99373 & 99682.8547404438 & -309.854740443767 \tabularnewline
255 & 86230 & 89409.2816931659 & -3179.28169316589 \tabularnewline
256 & 30837 & 20659.48256895 & 10177.51743105 \tabularnewline
257 & 31706 & 42204.5761338311 & -10498.5761338311 \tabularnewline
258 & 89806 & 72545.0735342358 & 17260.9264657642 \tabularnewline
259 & 62088 & 48283.2513412316 & 13804.7486587684 \tabularnewline
260 & 40151 & 33643.3596338644 & 6507.64036613557 \tabularnewline
261 & 27634 & 36086.0188249604 & -8452.01882496037 \tabularnewline
262 & 76990 & 81025.1856034799 & -4035.18560347989 \tabularnewline
263 & 37460 & 25725.5792046215 & 11734.4207953785 \tabularnewline
264 & 54157 & 63631.1398456068 & -9474.13984560676 \tabularnewline
265 & 49862 & 62307.9537440748 & -12445.9537440748 \tabularnewline
266 & 84337 & 75036.9447855677 & 9300.05521443232 \tabularnewline
267 & 64175 & 84564.5767710507 & -20389.5767710507 \tabularnewline
268 & 59382 & 62916.4444707585 & -3534.44447075847 \tabularnewline
269 & 119308 & 69472.0252633712 & 49835.9747366288 \tabularnewline
270 & 76702 & 91889.7120220769 & -15187.7120220769 \tabularnewline
271 & 103425 & 121191.430229259 & -17766.4302292592 \tabularnewline
272 & 70344 & 62029.1883036699 & 8314.81169633009 \tabularnewline
273 & 43410 & 36090.4754833023 & 7319.52451669765 \tabularnewline
274 & 104838 & 101183.497396227 & 3654.50260377349 \tabularnewline
275 & 62215 & 54076.607764682 & 8138.39223531805 \tabularnewline
276 & 69304 & 85927.394799953 & -16623.394799953 \tabularnewline
277 & 53117 & 43478.8603449989 & 9638.13965500108 \tabularnewline
278 & 19764 & 11124.3144747934 & 8639.68552520659 \tabularnewline
279 & 86680 & 95093.9338348045 & -8413.93383480451 \tabularnewline
280 & 84105 & 68422.6372671545 & 15682.3627328455 \tabularnewline
281 & 77945 & 81113.3471463406 & -3168.34714634059 \tabularnewline
282 & 89113 & 69768.4831750847 & 19344.5168249153 \tabularnewline
283 & 91005 & 87974.3952987943 & 3030.60470120573 \tabularnewline
284 & 40248 & 25617.9820102154 & 14630.0179897846 \tabularnewline
285 & 64187 & 52519.3099898378 & 11667.6900101622 \tabularnewline
286 & 50857 & 76002.920529864 & -25145.920529864 \tabularnewline
287 & 56613 & 57159.2372259726 & -546.237225972644 \tabularnewline
288 & 62792 & 85016.5540907133 & -22224.5540907133 \tabularnewline
289 & 72535 & 69199.4005067464 & 3335.59949325359 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160541&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]183713.369063965[/C][C]27193.6309360353[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]130126.896215245[/C][C]-9144.89621524469[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]173372.321807752[/C][C]3135.67819224758[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]231115.793213317[/C][C]-51794.7932133165[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]92363.2298466916[/C][C]30821.7701533084[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]65512.3763572889[/C][C]-12766.3763572889[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]295054.028576125[/C][C]90479.9714238749[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]29063.525488464[/C][C]4106.47451153601[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]90960.0091703905[/C][C]10684.9908296095[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]163946.094372916[/C][C]-14885.0943729161[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]142330.275600645[/C][C]23115.7243993552[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]203286.620039422[/C][C]33926.3799605782[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]180456.66170045[/C][C]-7130.66170044977[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]134830.970070584[/C][C]-1699.97007058423[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]230792.139863174[/C][C]28080.860136826[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]158136.239098077[/C][C]21946.760901923[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]375842.225453034[/C][C]-51043.2254530336[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]210660.531780807[/C][C]20303.4682191928[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]210236.024897472[/C][C]26548.9751025278[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]144800.814927792[/C][C]-9327.81492779207[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]223104.748935577[/C][C]-20179.7489355775[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]214273.042264719[/C][C]873.95773528096[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]219816.877204154[/C][C]124480.122795846[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]126934.207257736[/C][C]27000.7927422642[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]176304.204049651[/C][C]-43361.204049651[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]249595.484568153[/C][C]-74871.4845681525[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]210981.727977513[/C][C]-36566.7279775128[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]231140.516692238[/C][C]-5592.51669223838[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]189073.221378602[/C][C]34558.7786213982[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]118386.466219738[/C][C]6430.53378026173[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]197288.351725545[/C][C]24409.6482744548[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]200698.352410932[/C][C]10068.6475890679[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]187688.165188417[/C][C]-17422.1651884165[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]216708.432648791[/C][C]43852.5673512091[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]93437.7942544391[/C][C]-8584.79425443908[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]261848.114402851[/C][C]32575.8855971485[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]71651.6200881231[/C][C]29359.3799118769[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]177867.311077413[/C][C]37773.688922587[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]248189.690366969[/C][C]76917.309633031[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]-1483.1313307631[/C][C]8659.1313307631[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]154077.770148122[/C][C]13464.2298518783[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]74752.0717317596[/C][C]31655.9282682404[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]138350.323299245[/C][C]-41790.3232992451[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]254540.136796251[/C][C]11228.8632037495[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]247678.257071374[/C][C]21972.7429286264[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]147682.320107161[/C][C]1429.67989283895[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]217766.281684712[/C][C]-41942.2816847124[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]143969.63218096[/C][C]8901.3678190403[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]118762.935360119[/C][C]-7097.9353601186[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]147204.762416752[/C][C]-30796.762416752[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]336269.132982871[/C][C]26031.8670171294[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]80198.1673132741[/C][C]-1398.16731327408[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]213084.048805664[/C][C]-29917.0488056638[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]324815.680555689[/C][C]-46850.6805556887[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]187792.385334015[/C][C]-37163.385334015[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]167249.807724546[/C][C]1559.19227545363[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]24407.0400130508[/C][C]-219.040013050795[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]265638.115270063[/C][C]63628.8847299366[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]65624.8272022528[/C][C]-595.827202252845[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]96044.8188853022[/C][C]5052.18111469776[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]219284.922304709[/C][C]-338.922304709106[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]248754.214773128[/C][C]-4702.21477312757[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]376302.527256729[/C][C]-34732.5272567292[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]88943.3107979166[/C][C]14653.6892020834[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]300203.69960341[/C][C]-66875.6996034105[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]239270.483263145[/C][C]17191.5167368552[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]172949.270117876[/C][C]33211.7298821244[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]311892.993627458[/C][C]-419.993627458232[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]259507.184793674[/C][C]-23707.1847936737[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]188017.706225165[/C][C]-10078.7062251652[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]200061.411700339[/C][C]7114.58829966119[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]152787.847813403[/C][C]43765.1521865971[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]148426.554023861[/C][C]25757.4459761395[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]180179.291263515[/C][C]-36933.2912635153[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]227787.640501799[/C][C]-40228.6405017992[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]207827.184434323[/C][C]-20146.1844343226[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]142846.702109233[/C][C]-23830.7021092332[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]202553.997912665[/C][C]-20361.9979126654[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]81384.3388002086[/C][C]-7818.33880020864[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]192103.448138742[/C][C]2875.55186125761[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]160275.516825717[/C][C]7212.48317428334[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]178243.174574341[/C][C]-34487.174574341[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]205297.197956743[/C][C]70243.8020432567[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]204570.666172616[/C][C]38628.333827384[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]175265.029701677[/C][C]7733.97029832328[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]164134.209964136[/C][C]-28485.209964136[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]152292.641407423[/C][C]6.35859257659635[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]127454.764865307[/C][C]-7233.76486530655[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]282199.68384343[/C][C]64285.31615657[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]123778.392143777[/C][C]22011.6078562232[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]183353.992408101[/C][C]9985.007591899[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]81340.6766782342[/C][C]-387.67667823421[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]128603.268504473[/C][C]-5829.26850447256[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]138835.147909812[/C][C]-8250.14790981181[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]95608.5863042479[/C][C]17002.4136957521[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]254293.296746502[/C][C]32174.7032534975[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]190199.786679577[/C][C]50866.2133204234[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]271953.923535421[/C][C]-123507.923535421[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]175160.758775484[/C][C]29552.2412245156[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]213770.691427763[/C][C]-31691.6914277631[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]137838.382146204[/C][C]2505.6178537957[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]229112.133761564[/C][C]-8596.13376156402[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]205397.759458568[/C][C]37662.2405414321[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]163124.973151499[/C][C]-359.973151498545[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]180436.256180704[/C][C]2176.7438192962[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]225059.477076768[/C][C]7078.52292323207[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]304860.258445461[/C][C]-39542.2584454612[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]105016.458603011[/C][C]-19442.4586030109[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]314125.509685537[/C][C]-3286.50968553719[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]216157.24654913[/C][C]8902.7534508703[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]233929.258217704[/C][C]-1612.25821770359[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]139390.366104358[/C][C]5575.6338956419[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]68368.129760723[/C][C]-25081.129760723[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]152785.206163784[/C][C]2968.79383621611[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]201931.341722781[/C][C]-37222.3417227809[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]199848.261714768[/C][C]2091.73828523203[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]227797.416050473[/C][C]7656.58394952746[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]175832.246094855[/C][C]44968.7539051454[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]114791.111471602[/C][C]-15325.1114716018[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]120683.590521008[/C][C]-28022.5905210083[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]142124.345087713[/C][C]-8796.34508771337[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]89454.2660974918[/C][C]-28093.2660974918[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]169341.72368786[/C][C]-43411.7236878598[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]151313.380328689[/C][C]-50563.3803286893[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]165245.500276977[/C][C]59303.4997230226[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]65449.5874819444[/C][C]16866.4125180556[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]89828.5751812877[/C][C]12181.4248187124[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]135158.412816865[/C][C]-33635.4128168653[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]224689.757251587[/C][C]18821.2427484134[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]14732.920323019[/C][C]8205.07967698097[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]47264.5277970858[/C][C]-5698.52779708578[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]177794.738545277[/C][C]-25320.7385452767[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]43999.0958958416[/C][C]17857.9041041584[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]161982.662360146[/C][C]-62059.6623601455[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]155049.247321771[/C][C]-22562.2473217708[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]262450.424883223[/C][C]54943.5751167768[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]12165.4412477265[/C][C]8888.55875227353[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]165872.838240879[/C][C]43768.1617591206[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]48812.6247749893[/C][C]-26164.6247749893[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]36933.1878098898[/C][C]-5519.18780988977[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]60027.2562724282[/C][C]-13329.2562724282[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]157124.600834586[/C][C]-25426.6008345856[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]79355.7682592058[/C][C]12379.2317407942[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]250700.72390391[/C][C]-5951.72390391005[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]182407.222163815[/C][C]2102.7778361849[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]112148.754391134[/C][C]-32285.7543911336[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]134353.456584048[/C][C]-5930.45658404779[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]122314.599512093[/C][C]-24475.5995120935[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]38873.4165760022[/C][C]-659.416576002189[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]151155.362799737[/C][C]-54.3627997370153[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]240172.044500155[/C][C]32285.9554998445[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]168567.489254099[/C][C]3926.51074590123[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]114961.039213758[/C][C]-6918.03921375841[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]288548.920638809[/C][C]39558.0793611913[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]230921.464895598[/C][C]19657.5351044016[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]338191.745465418[/C][C]12875.2545345818[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]128553.145588583[/C][C]29461.8544114165[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]88041.5466033635[/C][C]10824.4533966365[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]99468.733043421[/C][C]-14029.7330434209[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]231046.425900059[/C][C]-1804.4259000589[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]344832.169826662[/C][C]6786.83017333844[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]103085.575710298[/C][C]-18878.5757102982[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]131255.045006489[/C][C]-10810.0450064891[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]310081.237137673[/C][C]14516.7628623267[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]153139.833924654[/C][C]-22070.8339246538[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]175568.162018658[/C][C]28702.8379813422[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]182614.692116167[/C][C]-17071.6921161668[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]129101.236321922[/C][C]12620.7636780781[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]100482.594907575[/C][C]15565.4050924249[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]162353.691153644[/C][C]87693.308846356[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]288540.342931919[/C][C]11234.6570680812[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]219239.873045474[/C][C]-23401.8730454737[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]152711.491312045[/C][C]20548.5086879546[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]249970.512738805[/C][C]4517.48726119538[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]182331.467704627[/C][C]-77942.4677046269[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]118059.770030271[/C][C]18024.2299697292[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]229092.353666842[/C][C]-29616.3536668418[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]79708.8358224817[/C][C]12790.1641775183[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]239713.754686503[/C][C]-15383.7546865028[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]95629.7838584366[/C][C]40151.2161415634[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]100185.644499224[/C][C]-25777.6444992236[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]123926.391232224[/C][C]-42686.3912322241[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]1775.79224290866[/C][C]12912.2077570913[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]167575.75186126[/C][C]14057.2481387402[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]253193.409039142[/C][C]18662.5909608583[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]-1913.70875682994[/C][C]9112.70875682994[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]26556.1925607517[/C][C]20103.8074392483[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]-2816.23316718249[/C][C]20363.2331671825[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]134670.452336516[/C][C]-1302.45233651642[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]83026.2474207693[/C][C]12200.7525792307[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]124251.989974048[/C][C]28349.0100259517[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]79590.3403206155[/C][C]18555.6596793845[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]106373.458229615[/C][C]-26754.458229615[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]101779.327303986[/C][C]-42585.3273039861[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]137417.103827844[/C][C]2524.89617215639[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]129501.557063108[/C][C]-10889.5570631085[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]78535.2210139908[/C][C]-5655.2210139908[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]69680.4375911223[/C][C]-4205.43759112233[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]125137.434992128[/C][C]-25494.4349921278[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]92040.9299732616[/C][C]-20075.9299732616[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]76105.795907282[/C][C]1166.20409271797[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]45519.9216146803[/C][C]3769.07838531972[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]115881.83563428[/C][C]19249.1643657198[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]103823.984993578[/C][C]4622.0150064217[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]120201.724068707[/C][C]-30455.7240687065[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]48838.911411172[/C][C]-4542.91141117206[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]88490.4460641622[/C][C]-10842.4460641622[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]127664.234409919[/C][C]53863.7655900813[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]106888.672146275[/C][C]27130.3278537252[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]111725.386338579[/C][C]12338.6136614205[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]86095.6462078708[/C][C]6534.35379212919[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]105454.555506398[/C][C]16393.4444936018[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]56467.2532862571[/C][C]-3552.25328625709[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]68799.9713845001[/C][C]13072.0286154999[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]90648.0626334799[/C][C]-31667.0626334799[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]67929.8407957035[/C][C]-14414.8407957035[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]87760.4243759803[/C][C]-26948.4243759803[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]59833.6728448802[/C][C]-3458.67284488021[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]60623.1458749088[/C][C]4866.85412509118[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]47928.8585260423[/C][C]33020.1414739577[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]89855.315522891[/C][C]-13553.315522891[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]139984.641288975[/C][C]-35973.6412889749[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]165228.081747184[/C][C]-67124.0817471844[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]68696.8585256906[/C][C]-707.858525690612[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]26465.3549380067[/C][C]4523.64506199332[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]145560.847356939[/C][C]-10102.8473569386[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]60045.1373018898[/C][C]13458.8626981102[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]98253.0980595255[/C][C]-35130.0980595255[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]93137.6519562292[/C][C]-31883.6519562292[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]124945.041501027[/C][C]-50031.0415010269[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]44384.6255957191[/C][C]-12610.6255957191[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]94448.584985004[/C][C]-13011.584985004[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]121547.610456311[/C][C]-34361.6104563112[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]57750.4728778158[/C][C]-7660.47287781584[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]93419.4110529388[/C][C]-27674.4110529388[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]67513.8617360019[/C][C]-10860.8617360019[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]101304.732924109[/C][C]57094.2670758909[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]57885.7676641997[/C][C]-11430.7676641997[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]84953.3352082015[/C][C]-11329.3352082015[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]59177.4191461034[/C][C]-20782.4191461034[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]87164.9317560238[/C][C]4734.06824397621[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]166077.357213567[/C][C]-26551.3572135672[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]69872.6541070574[/C][C]-17708.6541070574[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]58513.9842188695[/C][C]-6946.98421886945[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]73783.6259439547[/C][C]-3232.62594395472[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]92248.5063034821[/C][C]-7392.50630348212[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]136256.857215923[/C][C]-33718.8572159232[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]60780.3041668994[/C][C]25897.6958331006[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]77492.3176409414[/C][C]8216.68235905865[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]43335.3055566383[/C][C]-8673.30555663826[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]135918.205703823[/C][C]14661.7942961765[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]100961.874609829[/C][C]-1350.87460982862[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]6914.93577556295[/C][C]12434.0642244371[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]99682.8547404438[/C][C]-309.854740443767[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]89409.2816931659[/C][C]-3179.28169316589[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]20659.48256895[/C][C]10177.51743105[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]42204.5761338311[/C][C]-10498.5761338311[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]72545.0735342358[/C][C]17260.9264657642[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]48283.2513412316[/C][C]13804.7486587684[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]33643.3596338644[/C][C]6507.64036613557[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]36086.0188249604[/C][C]-8452.01882496037[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]81025.1856034799[/C][C]-4035.18560347989[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]25725.5792046215[/C][C]11734.4207953785[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]63631.1398456068[/C][C]-9474.13984560676[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]62307.9537440748[/C][C]-12445.9537440748[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]75036.9447855677[/C][C]9300.05521443232[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]84564.5767710507[/C][C]-20389.5767710507[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]62916.4444707585[/C][C]-3534.44447075847[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]69472.0252633712[/C][C]49835.9747366288[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]91889.7120220769[/C][C]-15187.7120220769[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]121191.430229259[/C][C]-17766.4302292592[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]62029.1883036699[/C][C]8314.81169633009[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]36090.4754833023[/C][C]7319.52451669765[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]101183.497396227[/C][C]3654.50260377349[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]54076.607764682[/C][C]8138.39223531805[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]85927.394799953[/C][C]-16623.394799953[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]43478.8603449989[/C][C]9638.13965500108[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]11124.3144747934[/C][C]8639.68552520659[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]95093.9338348045[/C][C]-8413.93383480451[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]68422.6372671545[/C][C]15682.3627328455[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]81113.3471463406[/C][C]-3168.34714634059[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]69768.4831750847[/C][C]19344.5168249153[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]87974.3952987943[/C][C]3030.60470120573[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]25617.9820102154[/C][C]14630.0179897846[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]52519.3099898378[/C][C]11667.6900101622[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]76002.920529864[/C][C]-25145.920529864[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]57159.2372259726[/C][C]-546.237225972644[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]85016.5540907133[/C][C]-22224.5540907133[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]69199.4005067464[/C][C]3335.59949325359[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160541&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160541&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907183713.36906396527193.6309360353
2120982130126.896215245-9144.89621524469
3176508173372.3218077523135.67819224758
4179321231115.793213317-51794.7932133165
512318592363.229846691630821.7701533084
65274665512.3763572889-12766.3763572889
7385534295054.02857612590479.9714238749
83317029063.5254884644106.47451153601
910164590960.009170390510684.9908296095
10149061163946.094372916-14885.0943729161
11165446142330.27560064523115.7243993552
12237213203286.62003942233926.3799605782
13173326180456.66170045-7130.66170044977
14133131134830.970070584-1699.97007058423
15258873230792.13986317428080.860136826
16180083158136.23909807721946.760901923
17324799375842.225453034-51043.2254530336
18230964210660.53178080720303.4682191928
19236785210236.02489747226548.9751025278
20135473144800.814927792-9327.81492779207
21202925223104.748935577-20179.7489355775
22215147214273.042264719873.95773528096
23344297219816.877204154124480.122795846
24153935126934.20725773627000.7927422642
25132943176304.204049651-43361.204049651
26174724249595.484568153-74871.4845681525
27174415210981.727977513-36566.7279775128
28225548231140.516692238-5592.51669223838
29223632189073.22137860234558.7786213982
30124817118386.4662197386430.53378026173
31221698197288.35172554524409.6482744548
32210767200698.35241093210068.6475890679
33170266187688.165188417-17422.1651884165
34260561216708.43264879143852.5673512091
358485393437.7942544391-8584.79425443908
36294424261848.11440285132575.8855971485
3710101171651.620088123129359.3799118769
38215641177867.31107741337773.688922587
39325107248189.69036696976917.309633031
407176-1483.13133076318659.1313307631
41167542154077.77014812213464.2298518783
4210640874752.071731759631655.9282682404
4396560138350.323299245-41790.3232992451
44265769254540.13679625111228.8632037495
45269651247678.25707137421972.7429286264
46149112147682.3201071611429.67989283895
47175824217766.281684712-41942.2816847124
48152871143969.632180968901.3678190403
49111665118762.935360119-7097.9353601186
50116408147204.762416752-30796.762416752
51362301336269.13298287126031.8670171294
527880080198.1673132741-1398.16731327408
53183167213084.048805664-29917.0488056638
54277965324815.680555689-46850.6805556887
55150629187792.385334015-37163.385334015
56168809167249.8077245461559.19227545363
572418824407.0400130508-219.040013050795
58329267265638.11527006363628.8847299366
596502965624.8272022528-595.827202252845
6010109796044.81888530225052.18111469776
61218946219284.922304709-338.922304709106
62244052248754.214773128-4702.21477312757
63341570376302.527256729-34732.5272567292
6410359788943.310797916614653.6892020834
65233328300203.69960341-66875.6996034105
66256462239270.48326314517191.5167368552
67206161172949.27011787633211.7298821244
68311473311892.993627458-419.993627458232
69235800259507.184793674-23707.1847936737
70177939188017.706225165-10078.7062251652
71207176200061.4117003397114.58829966119
72196553152787.84781340343765.1521865971
73174184148426.55402386125757.4459761395
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1977288078535.2210139908-5655.2210139908
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2007196592040.9299732616-20075.9299732616
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2246798968696.8585256906-707.858525690612
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237158399101304.73292410957094.2670758909
2384645557885.7676641997-11430.7676641997
2397362484953.3352082015-11329.3352082015
2403839559177.4191461034-20782.4191461034
2419189987164.93175602384734.06824397621
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2503466243335.3055566383-8673.30555663826
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2573170642204.5761338311-10498.5761338311
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2612763436086.0188249604-8452.01882496037
2627699081025.1856034799-4035.18560347989
2633746025725.579204621511734.4207953785
2645415763631.1398456068-9474.13984560676
2654986262307.9537440748-12445.9537440748
2668433775036.94478556779300.05521443232
2676417584564.5767710507-20389.5767710507
2685938262916.4444707585-3534.44447075847
26911930869472.025263371249835.9747366288
2707670291889.7120220769-15187.7120220769
271103425121191.430229259-17766.4302292592
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2734341036090.47548330237319.52451669765
274104838101183.4973962273654.50260377349
2756221554076.6077646828138.39223531805
2766930485927.394799953-16623.394799953
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2839100587974.39529879433030.60470120573
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2856418752519.309989837811667.6900101622
2865085776002.920529864-25145.920529864
2875661357159.2372259726-546.237225972644
2886279285016.5540907133-22224.5540907133
2897253569199.40050674643335.59949325359






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.7968167922556570.4063664154886860.203183207744343
130.9038174183524890.1923651632950220.0961825816475109
140.8865236140596130.2269527718807730.113476385940387
150.8540593180933320.2918813638133360.145940681906668
160.784654929859730.4306901402805410.21534507014027
170.8530289078922380.2939421842155250.146971092107762
180.7963087101237780.4073825797524450.203691289876222
190.7697113541856740.4605772916286520.230288645814326
200.7907272118698580.4185455762602830.209272788130142
210.7268777230056650.546244553988670.273122276994335
220.6549803490254680.6900393019490640.345019650974532
230.9361686935648430.1276626128703150.0638313064351573
240.916341490705220.1673170185895590.0836585092947795
250.8921348406619560.2157303186760880.107865159338044
260.9722472778150490.05550544436990240.0277527221849512
270.9755393415546440.04892131689071160.0244606584453558
280.972458105475710.05508378904857990.02754189452429
290.9905247538371430.01895049232571450.00947524616285724
300.9860601102658540.02787977946829280.0139398897341464
310.9844270673552420.03114586528951670.0155729326447584
320.9840030365687170.0319939268625660.015996963431283
330.9902285113410680.01954297731786410.00977148865893203
340.9969617613380260.006076477323948590.00303823866197429
350.995713586976770.008572826046461450.00428641302323073
360.99431643251920.01136713496160020.00568356748080009
370.992883196182660.01423360763468060.00711680381734031
380.992782620705930.01443475858813830.00721737929406913
390.9986354493550070.002729101289985650.00136455064499283
400.9981139474447180.003772105110563050.00188605255528153
410.9972938933427750.005412213314449780.00270610665722489
420.996421276911320.007157446177360340.00357872308868017
430.9992367556017530.001526488796493940.00076324439824697
440.9990430881425960.001913823714808890.000956911857404443
450.9986907508574470.002618498285105150.00130924914255258
460.998103960926520.003792078146958720.00189603907347936
470.998898969768790.002202060462417890.00110103023120895
480.998418263375140.003163473249718790.00158173662485939
490.9979050921979750.004189815604050040.00209490780202502
500.9986678120581920.002664375883616470.00133218794180823
510.9984053592395950.003189281520810730.00159464076040537
520.997747214407960.004505571184081070.00225278559204054
530.9981097152091250.003780569581750170.00189028479087509
540.9992582670321720.001483465935656380.000741732967828189
550.999553776419980.0008924471600408890.000446223580020445
560.9993558050443150.001288389911370830.000644194955685416
570.999139469054390.001721061891220730.000860530945610365
580.999705351259910.0005892974801821510.000294648740091076
590.9995691947378580.0008616105242842310.000430805262142115
600.9993896286730330.001220742653934850.000610371326967427
610.9991401666211940.001719666757612980.000859833378806491
620.9987870563252050.002425887349590870.00121294367479543
630.9991530143212170.00169397135756620.0008469856787831
640.9988649864979550.002270027004089830.00113501350204492
650.9998002804958670.0003994390082664530.000199719504133226
660.999732669037980.0005346619240418680.000267330962020934
670.9997205233972680.000558953205462970.000279476602731485
680.9996003575391560.0007992849216886150.000399642460844307
690.9995491771550620.0009016456898767750.000450822844938388
700.9993985423568760.001202915286248240.000601457643124122
710.9991836546922370.001632690615526450.000816345307763225
720.9994444324703920.001111135059215280.000555567529607641
730.9993480759994330.001303848001133730.000651924000566864
740.9994915732314380.001016853537123420.000508426768561712
750.9996181701255820.0007636597488357240.000381829874417862
760.9995649911595520.0008700176808965930.000435008840448296
770.999564761760020.0008704764799582980.000435238239979149
780.9994850764539860.001029847092028390.000514923546014195
790.9993232176699120.001353564660175390.000676782330087697
800.999069959739920.001860080520160230.000930040260080114
810.998744027445510.002511945108979490.00125597255448975
820.9988890929690330.002221814061934530.00111090703096727
830.9997235814126280.0005528371747430880.000276418587371544
840.999775375796250.0004492484075019310.000224624203750966
850.999689078130950.0006218437380981980.000310921869049099
860.9996943506172920.0006112987654168170.000305649382708409
870.9995743862425510.000851227514897930.000425613757448965
880.999431337276120.001137325447758270.000568662723879136
890.9998269059275320.0003461881449360750.000173094072468037
900.9997946474204650.0004107051590709370.000205352579535468
910.9997218436113380.0005563127773243980.000278156388662199
920.9996170213091430.0007659573817148280.000382978690857414
930.9994810990399860.001037801920027540.000518900960013768
940.9993118483820850.001376303235830960.00068815161791548
950.9991438760976650.001712247804670080.000856123902335039
960.9991777289331730.001644542133653870.000822271066826935
970.9995365357705740.0009269284588527050.000463464229426352
980.9999990258587631.94828247479445e-069.74141237397227e-07
990.9999990298463681.94030726425204e-069.7015363212602e-07
1000.9999990604293791.87914124279782e-069.3957062139891e-07
1010.9999985657087632.86858247453055e-061.43429123726528e-06
1020.9999978720371854.25592563002353e-062.12796281501177e-06
1030.9999984066007213.18679855714912e-061.59339927857456e-06
1040.9999975702153124.85956937621925e-062.42978468810962e-06
1050.999996367064177.26587165844484e-063.63293582922242e-06
1060.9999946831722071.06336555851188e-055.3168277925594e-06
1070.9999957484931548.50301369266632e-064.25150684633316e-06
1080.9999951133693649.77326127233745e-064.88663063616873e-06
1090.9999929749897451.40500205093442e-057.02501025467208e-06
1100.9999901249329821.9750134035922e-059.87506701796101e-06
1110.9999855741558642.88516882716364e-051.44258441358182e-05
1120.9999825735233613.4852953278145e-051.74264766390725e-05
1130.9999822058872663.55882254681186e-051.77941127340593e-05
1140.9999746627826745.06744346517512e-052.53372173258756e-05
1150.9999804768729253.90462541492391e-051.95231270746196e-05
1160.9999717224727725.65550544550368e-052.82775272275184e-05
1170.999960571578597.88568428187785e-053.94284214093893e-05
1180.9999757365027484.85269945038357e-052.42634972519178e-05
1190.9999704886723245.90226553529353e-052.95113276764677e-05
1200.9999704692830485.90614339041245e-052.95307169520622e-05
1210.9999594772742088.10454515849223e-054.05227257924612e-05
1220.9999601368059477.97263881058407e-053.98631940529203e-05
1230.9999765073656364.69852687275708e-052.34926343637854e-05
1240.9999894796529532.10406940948931e-051.05203470474466e-05
1250.9999968549583776.29008324595195e-063.14504162297598e-06
1260.999995804446168.39110768054084e-064.19555384027042e-06
1270.999994119172991.17616540192756e-055.88082700963778e-06
1280.9999953038016969.39239660774667e-064.69619830387334e-06
1290.9999944372352421.1125529515921e-055.5627647579605e-06
1300.999991869291941.62614161195328e-058.1307080597664e-06
1310.9999883416527922.33166944168815e-051.16583472084407e-05
1320.9999870409798922.59180402167763e-051.29590201083881e-05
1330.999983630172793.27396544213349e-051.63698272106674e-05
1340.9999963123479857.37530402933677e-063.68765201466839e-06
1350.999995652293098.69541381804826e-064.34770690902413e-06
1360.999998617429172.76514165839163e-061.38257082919582e-06
1370.99999795370794.09258419861006e-062.04629209930503e-06
1380.9999989747479662.05050406897191e-061.02525203448596e-06
1390.9999988783461882.2433076240602e-061.1216538120301e-06
1400.999998313416713.37316658071541e-061.68658329035771e-06
1410.9999976883092734.62338145325497e-062.31169072662748e-06
1420.9999975364816324.92703673552005e-062.46351836776003e-06
1430.9999965746226076.85075478672186e-063.42537739336093e-06
1440.9999949445908761.01108182488617e-055.05540912443087e-06
1450.9999925085037741.49829924514399e-057.49149622571995e-06
1460.999993136519591.37269608190748e-056.8634804095374e-06
1470.9999899568212532.00863574937325e-051.00431787468663e-05
1480.999988695838082.26083238409453e-051.13041619204726e-05
1490.999983381524473.32369510601594e-051.66184755300797e-05
1500.9999757317838674.85364322659752e-052.42682161329876e-05
1510.9999797372318984.05255362032991e-052.02627681016495e-05
1520.999971931005415.61379891804213e-052.80689945902107e-05
1530.999960506325987.89873480383392e-053.94936740191696e-05
1540.9999767507445194.64985109630492e-052.32492554815246e-05
1550.999976211361454.75772770989057e-052.37886385494528e-05
1560.9999724027005765.51945988479702e-052.75972994239851e-05
1570.9999794260961154.11478077699811e-052.05739038849906e-05
1580.999971864341615.62713167822666e-052.81356583911333e-05
1590.9999613953409787.72093180446077e-053.86046590223038e-05
1600.9999447513694540.0001104972610926325.52486305463159e-05
1610.999928828199120.0001423436017614577.11718008807287e-05
1620.9999106036473030.0001787927053930978.93963526965487e-05
1630.999884103915690.0002317921686185410.00011589608430927
1640.9998721227913150.0002557544173699820.000127877208684991
1650.9998447422045170.0003105155909655740.000155257795482787
1660.999907740424590.0001845191508217129.22595754108561e-05
1670.9998755760075530.0002488479848941260.000124423992447063
1680.9998374059294380.0003251881411238060.000162594070561903
1690.999804681190380.000390637619238260.00019531880961913
1700.9999967091245556.58175088942444e-063.29087544471222e-06
1710.9999972177301695.56453966242285e-062.78226983121142e-06
1720.9999960895546257.82089075017857e-063.91044537508928e-06
1730.9999962704333237.45913335312553e-063.72956667656276e-06
1740.9999968401642976.31967140645648e-063.15983570322824e-06
1750.9999997827363334.3452733320617e-072.17263666603085e-07
1760.9999998144825233.71034954500522e-071.85517477250261e-07
1770.9999997482002875.03599425121923e-072.51799712560962e-07
1780.9999996404424937.19115014406611e-073.59557507203306e-07
1790.999999492654581.01469084144849e-065.07345420724243e-07
1800.9999997584130484.8317390409964e-072.4158695204982e-07
1810.9999997279916525.44016695485942e-072.72008347742971e-07
1820.9999999394969921.210060168496e-076.05030084247998e-08
1830.9999999022093771.95581245310917e-079.77906226554585e-08
1840.9999999437123781.12575243043533e-075.62876215217666e-08
1850.9999999930619541.38760922116171e-086.93804610580854e-09
1860.9999999885685622.28628768396376e-081.14314384198188e-08
1870.9999999823704823.52590361556884e-081.76295180778442e-08
1880.9999999714321665.71356673283121e-082.85678336641561e-08
1890.999999966353756.72924986259006e-083.36462493129503e-08
1900.9999999596920238.06159537319356e-084.03079768659678e-08
1910.9999999918908741.6218252281103e-088.1091261405515e-09
1920.9999999900002291.99995421972758e-089.99977109863788e-09
1930.9999999891351382.17297249586976e-081.08648624793488e-08
1940.9999999935995731.28008535978631e-086.40042679893153e-09
1950.999999990962921.8074159796187e-089.03707989809348e-09
1960.9999999865085872.6982825849417e-081.34914129247085e-08
1970.999999977156014.56879809808425e-082.28439904904212e-08
1980.9999999614786177.70427666418249e-083.85213833209125e-08
1990.9999999396475361.207049274894e-076.03524637446998e-08
2000.9999999006542571.9869148555689e-079.9345742778445e-08
2010.9999998293010623.41397875600635e-071.70698937800317e-07
2020.999999745998445.08003119639269e-072.54001559819635e-07
2030.9999996582000056.83599990720362e-073.41799995360181e-07
2040.9999994187727971.16245440554717e-065.81227202773587e-07
2050.9999992734881451.45302371088349e-067.26511855441744e-07
2060.9999987895524562.42089508747305e-061.21044754373653e-06
2070.9999982489399493.50212010252e-061.75106005126e-06
2080.9999999438652561.12269487806082e-075.61347439030412e-08
2090.9999999817454723.65090557338963e-081.82545278669481e-08
2100.9999999765370244.69259515129647e-082.34629757564823e-08
2110.9999999610538347.78923311248316e-083.89461655624158e-08
2120.9999999738165245.23669528702332e-082.61834764351166e-08
2130.999999951467419.70651809134914e-084.85325904567457e-08
2140.999999912101171.75797660405425e-078.78988302027124e-08
2150.9999999169857951.66028410236545e-078.30142051182724e-08
2160.9999998963506452.07298710838094e-071.03649355419047e-07
2170.9999999193112081.61377583208888e-078.06887916044441e-08
2180.9999998637550222.72489955948802e-071.36244977974401e-07
2190.9999997642854154.71429169815369e-072.35714584907685e-07
2200.9999997730815554.53836889527353e-072.26918444763677e-07
2210.9999996137051067.725897884476e-073.862948942238e-07
2220.9999996645371626.70925676568844e-073.35462838284422e-07
2230.999999887871532.24256940176116e-071.12128470088058e-07
2240.999999788303464.23393077799306e-072.11696538899653e-07
2250.999999604046827.91906360435322e-073.95953180217661e-07
2260.9999994291136711.14177265792025e-065.70886328960126e-07
2270.9999993111318731.37773625337169e-066.88868126685843e-07
2280.9999991315648131.73687037437683e-068.68435187188415e-07
2290.9999989038361172.19232776536966e-061.09616388268483e-06
2300.999999957794948.44101212896663e-084.22050606448331e-08
2310.9999999677887976.44224052711163e-083.22112026355582e-08
2320.9999999413164431.17367113065107e-075.86835565325537e-08
2330.9999999778238274.435234631071e-082.2176173155355e-08
2340.9999999565483248.69033528668669e-084.34516764334334e-08
2350.9999999228760381.54247924029414e-077.71239620147068e-08
2360.9999998675057032.64988594818248e-071.32494297409124e-07
2370.9999999993001061.39978776999648e-096.99893884998241e-10
2380.99999999895962.08079844930125e-091.04039922465063e-09
2390.9999999974881425.02371658748325e-092.51185829374162e-09
2400.9999999965831686.83366362968366e-093.41683181484183e-09
2410.999999995049879.90026078853752e-094.95013039426876e-09
2420.9999999910299371.79401261209641e-088.97006306048207e-09
2430.9999999914939151.70121695881899e-088.50608479409496e-09
2440.999999986586612.68267799178402e-081.34133899589201e-08
2450.9999999672327636.553447388224e-083.276723694112e-08
2460.9999999262124761.47575047360336e-077.3787523680168e-08
2470.999999964075927.18481592231859e-083.5924079611593e-08
2480.9999999462529061.07494188879102e-075.37470944395509e-08
2490.9999998691872472.61625506835898e-071.30812753417949e-07
2500.9999997419184535.16163094716951e-072.58081547358475e-07
2510.9999996385466037.22906794161669e-073.61453397080835e-07
2520.999999170016331.65996734094799e-068.29983670473997e-07
2530.999998040412453.91917510159424e-061.95958755079712e-06
2540.9999956616108878.67677822670606e-064.33838911335303e-06
2550.9999905919467661.88161064678413e-059.40805323392067e-06
2560.9999789036394.21927220000262e-052.10963610000131e-05
2570.999971726701725.65465965583498e-052.82732982791749e-05
2580.9999554959672828.90080654364731e-054.45040327182366e-05
2590.9999202676362060.0001594647275872857.97323637936423e-05
2600.9998252919639170.0003494160721661520.000174708036083076
2610.9996304629617520.0007390740764953460.000369537038247673
2620.9994411632721970.00111767345560610.000558836727803051
2630.9988740265892460.002251946821508290.00112597341075415
2640.9977591549019540.004481690196092720.00224084509804636
2650.9984316921313140.003136615737371620.00156830786868581
2660.9977327246607140.004534550678571190.00226727533928559
2670.9978897060506290.004220587898742480.00211029394937124
2680.995418049225710.009163901548579940.00458195077428997
2690.9999435536644370.0001128926711262695.64463355631345e-05
2700.9998510837003980.0002978325992037130.000148916299601856
2710.9995096388572820.000980722285436650.000490361142718326
2720.9987899459548270.002420108090345630.00121005404517281
2730.998202287614060.003595424771878630.00179771238593931
2740.9945279840246650.01094403195066990.00547201597533495
2750.9894030175692140.02119396486157230.0105969824307862
2760.9841455997626180.03170880047476480.0158544002373824
2770.9944901138372140.01101977232557240.0055098861627862

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
12 & 0.796816792255657 & 0.406366415488686 & 0.203183207744343 \tabularnewline
13 & 0.903817418352489 & 0.192365163295022 & 0.0961825816475109 \tabularnewline
14 & 0.886523614059613 & 0.226952771880773 & 0.113476385940387 \tabularnewline
15 & 0.854059318093332 & 0.291881363813336 & 0.145940681906668 \tabularnewline
16 & 0.78465492985973 & 0.430690140280541 & 0.21534507014027 \tabularnewline
17 & 0.853028907892238 & 0.293942184215525 & 0.146971092107762 \tabularnewline
18 & 0.796308710123778 & 0.407382579752445 & 0.203691289876222 \tabularnewline
19 & 0.769711354185674 & 0.460577291628652 & 0.230288645814326 \tabularnewline
20 & 0.790727211869858 & 0.418545576260283 & 0.209272788130142 \tabularnewline
21 & 0.726877723005665 & 0.54624455398867 & 0.273122276994335 \tabularnewline
22 & 0.654980349025468 & 0.690039301949064 & 0.345019650974532 \tabularnewline
23 & 0.936168693564843 & 0.127662612870315 & 0.0638313064351573 \tabularnewline
24 & 0.91634149070522 & 0.167317018589559 & 0.0836585092947795 \tabularnewline
25 & 0.892134840661956 & 0.215730318676088 & 0.107865159338044 \tabularnewline
26 & 0.972247277815049 & 0.0555054443699024 & 0.0277527221849512 \tabularnewline
27 & 0.975539341554644 & 0.0489213168907116 & 0.0244606584453558 \tabularnewline
28 & 0.97245810547571 & 0.0550837890485799 & 0.02754189452429 \tabularnewline
29 & 0.990524753837143 & 0.0189504923257145 & 0.00947524616285724 \tabularnewline
30 & 0.986060110265854 & 0.0278797794682928 & 0.0139398897341464 \tabularnewline
31 & 0.984427067355242 & 0.0311458652895167 & 0.0155729326447584 \tabularnewline
32 & 0.984003036568717 & 0.031993926862566 & 0.015996963431283 \tabularnewline
33 & 0.990228511341068 & 0.0195429773178641 & 0.00977148865893203 \tabularnewline
34 & 0.996961761338026 & 0.00607647732394859 & 0.00303823866197429 \tabularnewline
35 & 0.99571358697677 & 0.00857282604646145 & 0.00428641302323073 \tabularnewline
36 & 0.9943164325192 & 0.0113671349616002 & 0.00568356748080009 \tabularnewline
37 & 0.99288319618266 & 0.0142336076346806 & 0.00711680381734031 \tabularnewline
38 & 0.99278262070593 & 0.0144347585881383 & 0.00721737929406913 \tabularnewline
39 & 0.998635449355007 & 0.00272910128998565 & 0.00136455064499283 \tabularnewline
40 & 0.998113947444718 & 0.00377210511056305 & 0.00188605255528153 \tabularnewline
41 & 0.997293893342775 & 0.00541221331444978 & 0.00270610665722489 \tabularnewline
42 & 0.99642127691132 & 0.00715744617736034 & 0.00357872308868017 \tabularnewline
43 & 0.999236755601753 & 0.00152648879649394 & 0.00076324439824697 \tabularnewline
44 & 0.999043088142596 & 0.00191382371480889 & 0.000956911857404443 \tabularnewline
45 & 0.998690750857447 & 0.00261849828510515 & 0.00130924914255258 \tabularnewline
46 & 0.99810396092652 & 0.00379207814695872 & 0.00189603907347936 \tabularnewline
47 & 0.99889896976879 & 0.00220206046241789 & 0.00110103023120895 \tabularnewline
48 & 0.99841826337514 & 0.00316347324971879 & 0.00158173662485939 \tabularnewline
49 & 0.997905092197975 & 0.00418981560405004 & 0.00209490780202502 \tabularnewline
50 & 0.998667812058192 & 0.00266437588361647 & 0.00133218794180823 \tabularnewline
51 & 0.998405359239595 & 0.00318928152081073 & 0.00159464076040537 \tabularnewline
52 & 0.99774721440796 & 0.00450557118408107 & 0.00225278559204054 \tabularnewline
53 & 0.998109715209125 & 0.00378056958175017 & 0.00189028479087509 \tabularnewline
54 & 0.999258267032172 & 0.00148346593565638 & 0.000741732967828189 \tabularnewline
55 & 0.99955377641998 & 0.000892447160040889 & 0.000446223580020445 \tabularnewline
56 & 0.999355805044315 & 0.00128838991137083 & 0.000644194955685416 \tabularnewline
57 & 0.99913946905439 & 0.00172106189122073 & 0.000860530945610365 \tabularnewline
58 & 0.99970535125991 & 0.000589297480182151 & 0.000294648740091076 \tabularnewline
59 & 0.999569194737858 & 0.000861610524284231 & 0.000430805262142115 \tabularnewline
60 & 0.999389628673033 & 0.00122074265393485 & 0.000610371326967427 \tabularnewline
61 & 0.999140166621194 & 0.00171966675761298 & 0.000859833378806491 \tabularnewline
62 & 0.998787056325205 & 0.00242588734959087 & 0.00121294367479543 \tabularnewline
63 & 0.999153014321217 & 0.0016939713575662 & 0.0008469856787831 \tabularnewline
64 & 0.998864986497955 & 0.00227002700408983 & 0.00113501350204492 \tabularnewline
65 & 0.999800280495867 & 0.000399439008266453 & 0.000199719504133226 \tabularnewline
66 & 0.99973266903798 & 0.000534661924041868 & 0.000267330962020934 \tabularnewline
67 & 0.999720523397268 & 0.00055895320546297 & 0.000279476602731485 \tabularnewline
68 & 0.999600357539156 & 0.000799284921688615 & 0.000399642460844307 \tabularnewline
69 & 0.999549177155062 & 0.000901645689876775 & 0.000450822844938388 \tabularnewline
70 & 0.999398542356876 & 0.00120291528624824 & 0.000601457643124122 \tabularnewline
71 & 0.999183654692237 & 0.00163269061552645 & 0.000816345307763225 \tabularnewline
72 & 0.999444432470392 & 0.00111113505921528 & 0.000555567529607641 \tabularnewline
73 & 0.999348075999433 & 0.00130384800113373 & 0.000651924000566864 \tabularnewline
74 & 0.999491573231438 & 0.00101685353712342 & 0.000508426768561712 \tabularnewline
75 & 0.999618170125582 & 0.000763659748835724 & 0.000381829874417862 \tabularnewline
76 & 0.999564991159552 & 0.000870017680896593 & 0.000435008840448296 \tabularnewline
77 & 0.99956476176002 & 0.000870476479958298 & 0.000435238239979149 \tabularnewline
78 & 0.999485076453986 & 0.00102984709202839 & 0.000514923546014195 \tabularnewline
79 & 0.999323217669912 & 0.00135356466017539 & 0.000676782330087697 \tabularnewline
80 & 0.99906995973992 & 0.00186008052016023 & 0.000930040260080114 \tabularnewline
81 & 0.99874402744551 & 0.00251194510897949 & 0.00125597255448975 \tabularnewline
82 & 0.998889092969033 & 0.00222181406193453 & 0.00111090703096727 \tabularnewline
83 & 0.999723581412628 & 0.000552837174743088 & 0.000276418587371544 \tabularnewline
84 & 0.99977537579625 & 0.000449248407501931 & 0.000224624203750966 \tabularnewline
85 & 0.99968907813095 & 0.000621843738098198 & 0.000310921869049099 \tabularnewline
86 & 0.999694350617292 & 0.000611298765416817 & 0.000305649382708409 \tabularnewline
87 & 0.999574386242551 & 0.00085122751489793 & 0.000425613757448965 \tabularnewline
88 & 0.99943133727612 & 0.00113732544775827 & 0.000568662723879136 \tabularnewline
89 & 0.999826905927532 & 0.000346188144936075 & 0.000173094072468037 \tabularnewline
90 & 0.999794647420465 & 0.000410705159070937 & 0.000205352579535468 \tabularnewline
91 & 0.999721843611338 & 0.000556312777324398 & 0.000278156388662199 \tabularnewline
92 & 0.999617021309143 & 0.000765957381714828 & 0.000382978690857414 \tabularnewline
93 & 0.999481099039986 & 0.00103780192002754 & 0.000518900960013768 \tabularnewline
94 & 0.999311848382085 & 0.00137630323583096 & 0.00068815161791548 \tabularnewline
95 & 0.999143876097665 & 0.00171224780467008 & 0.000856123902335039 \tabularnewline
96 & 0.999177728933173 & 0.00164454213365387 & 0.000822271066826935 \tabularnewline
97 & 0.999536535770574 & 0.000926928458852705 & 0.000463464229426352 \tabularnewline
98 & 0.999999025858763 & 1.94828247479445e-06 & 9.74141237397227e-07 \tabularnewline
99 & 0.999999029846368 & 1.94030726425204e-06 & 9.7015363212602e-07 \tabularnewline
100 & 0.999999060429379 & 1.87914124279782e-06 & 9.3957062139891e-07 \tabularnewline
101 & 0.999998565708763 & 2.86858247453055e-06 & 1.43429123726528e-06 \tabularnewline
102 & 0.999997872037185 & 4.25592563002353e-06 & 2.12796281501177e-06 \tabularnewline
103 & 0.999998406600721 & 3.18679855714912e-06 & 1.59339927857456e-06 \tabularnewline
104 & 0.999997570215312 & 4.85956937621925e-06 & 2.42978468810962e-06 \tabularnewline
105 & 0.99999636706417 & 7.26587165844484e-06 & 3.63293582922242e-06 \tabularnewline
106 & 0.999994683172207 & 1.06336555851188e-05 & 5.3168277925594e-06 \tabularnewline
107 & 0.999995748493154 & 8.50301369266632e-06 & 4.25150684633316e-06 \tabularnewline
108 & 0.999995113369364 & 9.77326127233745e-06 & 4.88663063616873e-06 \tabularnewline
109 & 0.999992974989745 & 1.40500205093442e-05 & 7.02501025467208e-06 \tabularnewline
110 & 0.999990124932982 & 1.9750134035922e-05 & 9.87506701796101e-06 \tabularnewline
111 & 0.999985574155864 & 2.88516882716364e-05 & 1.44258441358182e-05 \tabularnewline
112 & 0.999982573523361 & 3.4852953278145e-05 & 1.74264766390725e-05 \tabularnewline
113 & 0.999982205887266 & 3.55882254681186e-05 & 1.77941127340593e-05 \tabularnewline
114 & 0.999974662782674 & 5.06744346517512e-05 & 2.53372173258756e-05 \tabularnewline
115 & 0.999980476872925 & 3.90462541492391e-05 & 1.95231270746196e-05 \tabularnewline
116 & 0.999971722472772 & 5.65550544550368e-05 & 2.82775272275184e-05 \tabularnewline
117 & 0.99996057157859 & 7.88568428187785e-05 & 3.94284214093893e-05 \tabularnewline
118 & 0.999975736502748 & 4.85269945038357e-05 & 2.42634972519178e-05 \tabularnewline
119 & 0.999970488672324 & 5.90226553529353e-05 & 2.95113276764677e-05 \tabularnewline
120 & 0.999970469283048 & 5.90614339041245e-05 & 2.95307169520622e-05 \tabularnewline
121 & 0.999959477274208 & 8.10454515849223e-05 & 4.05227257924612e-05 \tabularnewline
122 & 0.999960136805947 & 7.97263881058407e-05 & 3.98631940529203e-05 \tabularnewline
123 & 0.999976507365636 & 4.69852687275708e-05 & 2.34926343637854e-05 \tabularnewline
124 & 0.999989479652953 & 2.10406940948931e-05 & 1.05203470474466e-05 \tabularnewline
125 & 0.999996854958377 & 6.29008324595195e-06 & 3.14504162297598e-06 \tabularnewline
126 & 0.99999580444616 & 8.39110768054084e-06 & 4.19555384027042e-06 \tabularnewline
127 & 0.99999411917299 & 1.17616540192756e-05 & 5.88082700963778e-06 \tabularnewline
128 & 0.999995303801696 & 9.39239660774667e-06 & 4.69619830387334e-06 \tabularnewline
129 & 0.999994437235242 & 1.1125529515921e-05 & 5.5627647579605e-06 \tabularnewline
130 & 0.99999186929194 & 1.62614161195328e-05 & 8.1307080597664e-06 \tabularnewline
131 & 0.999988341652792 & 2.33166944168815e-05 & 1.16583472084407e-05 \tabularnewline
132 & 0.999987040979892 & 2.59180402167763e-05 & 1.29590201083881e-05 \tabularnewline
133 & 0.99998363017279 & 3.27396544213349e-05 & 1.63698272106674e-05 \tabularnewline
134 & 0.999996312347985 & 7.37530402933677e-06 & 3.68765201466839e-06 \tabularnewline
135 & 0.99999565229309 & 8.69541381804826e-06 & 4.34770690902413e-06 \tabularnewline
136 & 0.99999861742917 & 2.76514165839163e-06 & 1.38257082919582e-06 \tabularnewline
137 & 0.9999979537079 & 4.09258419861006e-06 & 2.04629209930503e-06 \tabularnewline
138 & 0.999998974747966 & 2.05050406897191e-06 & 1.02525203448596e-06 \tabularnewline
139 & 0.999998878346188 & 2.2433076240602e-06 & 1.1216538120301e-06 \tabularnewline
140 & 0.99999831341671 & 3.37316658071541e-06 & 1.68658329035771e-06 \tabularnewline
141 & 0.999997688309273 & 4.62338145325497e-06 & 2.31169072662748e-06 \tabularnewline
142 & 0.999997536481632 & 4.92703673552005e-06 & 2.46351836776003e-06 \tabularnewline
143 & 0.999996574622607 & 6.85075478672186e-06 & 3.42537739336093e-06 \tabularnewline
144 & 0.999994944590876 & 1.01108182488617e-05 & 5.05540912443087e-06 \tabularnewline
145 & 0.999992508503774 & 1.49829924514399e-05 & 7.49149622571995e-06 \tabularnewline
146 & 0.99999313651959 & 1.37269608190748e-05 & 6.8634804095374e-06 \tabularnewline
147 & 0.999989956821253 & 2.00863574937325e-05 & 1.00431787468663e-05 \tabularnewline
148 & 0.99998869583808 & 2.26083238409453e-05 & 1.13041619204726e-05 \tabularnewline
149 & 0.99998338152447 & 3.32369510601594e-05 & 1.66184755300797e-05 \tabularnewline
150 & 0.999975731783867 & 4.85364322659752e-05 & 2.42682161329876e-05 \tabularnewline
151 & 0.999979737231898 & 4.05255362032991e-05 & 2.02627681016495e-05 \tabularnewline
152 & 0.99997193100541 & 5.61379891804213e-05 & 2.80689945902107e-05 \tabularnewline
153 & 0.99996050632598 & 7.89873480383392e-05 & 3.94936740191696e-05 \tabularnewline
154 & 0.999976750744519 & 4.64985109630492e-05 & 2.32492554815246e-05 \tabularnewline
155 & 0.99997621136145 & 4.75772770989057e-05 & 2.37886385494528e-05 \tabularnewline
156 & 0.999972402700576 & 5.51945988479702e-05 & 2.75972994239851e-05 \tabularnewline
157 & 0.999979426096115 & 4.11478077699811e-05 & 2.05739038849906e-05 \tabularnewline
158 & 0.99997186434161 & 5.62713167822666e-05 & 2.81356583911333e-05 \tabularnewline
159 & 0.999961395340978 & 7.72093180446077e-05 & 3.86046590223038e-05 \tabularnewline
160 & 0.999944751369454 & 0.000110497261092632 & 5.52486305463159e-05 \tabularnewline
161 & 0.99992882819912 & 0.000142343601761457 & 7.11718008807287e-05 \tabularnewline
162 & 0.999910603647303 & 0.000178792705393097 & 8.93963526965487e-05 \tabularnewline
163 & 0.99988410391569 & 0.000231792168618541 & 0.00011589608430927 \tabularnewline
164 & 0.999872122791315 & 0.000255754417369982 & 0.000127877208684991 \tabularnewline
165 & 0.999844742204517 & 0.000310515590965574 & 0.000155257795482787 \tabularnewline
166 & 0.99990774042459 & 0.000184519150821712 & 9.22595754108561e-05 \tabularnewline
167 & 0.999875576007553 & 0.000248847984894126 & 0.000124423992447063 \tabularnewline
168 & 0.999837405929438 & 0.000325188141123806 & 0.000162594070561903 \tabularnewline
169 & 0.99980468119038 & 0.00039063761923826 & 0.00019531880961913 \tabularnewline
170 & 0.999996709124555 & 6.58175088942444e-06 & 3.29087544471222e-06 \tabularnewline
171 & 0.999997217730169 & 5.56453966242285e-06 & 2.78226983121142e-06 \tabularnewline
172 & 0.999996089554625 & 7.82089075017857e-06 & 3.91044537508928e-06 \tabularnewline
173 & 0.999996270433323 & 7.45913335312553e-06 & 3.72956667656276e-06 \tabularnewline
174 & 0.999996840164297 & 6.31967140645648e-06 & 3.15983570322824e-06 \tabularnewline
175 & 0.999999782736333 & 4.3452733320617e-07 & 2.17263666603085e-07 \tabularnewline
176 & 0.999999814482523 & 3.71034954500522e-07 & 1.85517477250261e-07 \tabularnewline
177 & 0.999999748200287 & 5.03599425121923e-07 & 2.51799712560962e-07 \tabularnewline
178 & 0.999999640442493 & 7.19115014406611e-07 & 3.59557507203306e-07 \tabularnewline
179 & 0.99999949265458 & 1.01469084144849e-06 & 5.07345420724243e-07 \tabularnewline
180 & 0.999999758413048 & 4.8317390409964e-07 & 2.4158695204982e-07 \tabularnewline
181 & 0.999999727991652 & 5.44016695485942e-07 & 2.72008347742971e-07 \tabularnewline
182 & 0.999999939496992 & 1.210060168496e-07 & 6.05030084247998e-08 \tabularnewline
183 & 0.999999902209377 & 1.95581245310917e-07 & 9.77906226554585e-08 \tabularnewline
184 & 0.999999943712378 & 1.12575243043533e-07 & 5.62876215217666e-08 \tabularnewline
185 & 0.999999993061954 & 1.38760922116171e-08 & 6.93804610580854e-09 \tabularnewline
186 & 0.999999988568562 & 2.28628768396376e-08 & 1.14314384198188e-08 \tabularnewline
187 & 0.999999982370482 & 3.52590361556884e-08 & 1.76295180778442e-08 \tabularnewline
188 & 0.999999971432166 & 5.71356673283121e-08 & 2.85678336641561e-08 \tabularnewline
189 & 0.99999996635375 & 6.72924986259006e-08 & 3.36462493129503e-08 \tabularnewline
190 & 0.999999959692023 & 8.06159537319356e-08 & 4.03079768659678e-08 \tabularnewline
191 & 0.999999991890874 & 1.6218252281103e-08 & 8.1091261405515e-09 \tabularnewline
192 & 0.999999990000229 & 1.99995421972758e-08 & 9.99977109863788e-09 \tabularnewline
193 & 0.999999989135138 & 2.17297249586976e-08 & 1.08648624793488e-08 \tabularnewline
194 & 0.999999993599573 & 1.28008535978631e-08 & 6.40042679893153e-09 \tabularnewline
195 & 0.99999999096292 & 1.8074159796187e-08 & 9.03707989809348e-09 \tabularnewline
196 & 0.999999986508587 & 2.6982825849417e-08 & 1.34914129247085e-08 \tabularnewline
197 & 0.99999997715601 & 4.56879809808425e-08 & 2.28439904904212e-08 \tabularnewline
198 & 0.999999961478617 & 7.70427666418249e-08 & 3.85213833209125e-08 \tabularnewline
199 & 0.999999939647536 & 1.207049274894e-07 & 6.03524637446998e-08 \tabularnewline
200 & 0.999999900654257 & 1.9869148555689e-07 & 9.9345742778445e-08 \tabularnewline
201 & 0.999999829301062 & 3.41397875600635e-07 & 1.70698937800317e-07 \tabularnewline
202 & 0.99999974599844 & 5.08003119639269e-07 & 2.54001559819635e-07 \tabularnewline
203 & 0.999999658200005 & 6.83599990720362e-07 & 3.41799995360181e-07 \tabularnewline
204 & 0.999999418772797 & 1.16245440554717e-06 & 5.81227202773587e-07 \tabularnewline
205 & 0.999999273488145 & 1.45302371088349e-06 & 7.26511855441744e-07 \tabularnewline
206 & 0.999998789552456 & 2.42089508747305e-06 & 1.21044754373653e-06 \tabularnewline
207 & 0.999998248939949 & 3.50212010252e-06 & 1.75106005126e-06 \tabularnewline
208 & 0.999999943865256 & 1.12269487806082e-07 & 5.61347439030412e-08 \tabularnewline
209 & 0.999999981745472 & 3.65090557338963e-08 & 1.82545278669481e-08 \tabularnewline
210 & 0.999999976537024 & 4.69259515129647e-08 & 2.34629757564823e-08 \tabularnewline
211 & 0.999999961053834 & 7.78923311248316e-08 & 3.89461655624158e-08 \tabularnewline
212 & 0.999999973816524 & 5.23669528702332e-08 & 2.61834764351166e-08 \tabularnewline
213 & 0.99999995146741 & 9.70651809134914e-08 & 4.85325904567457e-08 \tabularnewline
214 & 0.99999991210117 & 1.75797660405425e-07 & 8.78988302027124e-08 \tabularnewline
215 & 0.999999916985795 & 1.66028410236545e-07 & 8.30142051182724e-08 \tabularnewline
216 & 0.999999896350645 & 2.07298710838094e-07 & 1.03649355419047e-07 \tabularnewline
217 & 0.999999919311208 & 1.61377583208888e-07 & 8.06887916044441e-08 \tabularnewline
218 & 0.999999863755022 & 2.72489955948802e-07 & 1.36244977974401e-07 \tabularnewline
219 & 0.999999764285415 & 4.71429169815369e-07 & 2.35714584907685e-07 \tabularnewline
220 & 0.999999773081555 & 4.53836889527353e-07 & 2.26918444763677e-07 \tabularnewline
221 & 0.999999613705106 & 7.725897884476e-07 & 3.862948942238e-07 \tabularnewline
222 & 0.999999664537162 & 6.70925676568844e-07 & 3.35462838284422e-07 \tabularnewline
223 & 0.99999988787153 & 2.24256940176116e-07 & 1.12128470088058e-07 \tabularnewline
224 & 0.99999978830346 & 4.23393077799306e-07 & 2.11696538899653e-07 \tabularnewline
225 & 0.99999960404682 & 7.91906360435322e-07 & 3.95953180217661e-07 \tabularnewline
226 & 0.999999429113671 & 1.14177265792025e-06 & 5.70886328960126e-07 \tabularnewline
227 & 0.999999311131873 & 1.37773625337169e-06 & 6.88868126685843e-07 \tabularnewline
228 & 0.999999131564813 & 1.73687037437683e-06 & 8.68435187188415e-07 \tabularnewline
229 & 0.999998903836117 & 2.19232776536966e-06 & 1.09616388268483e-06 \tabularnewline
230 & 0.99999995779494 & 8.44101212896663e-08 & 4.22050606448331e-08 \tabularnewline
231 & 0.999999967788797 & 6.44224052711163e-08 & 3.22112026355582e-08 \tabularnewline
232 & 0.999999941316443 & 1.17367113065107e-07 & 5.86835565325537e-08 \tabularnewline
233 & 0.999999977823827 & 4.435234631071e-08 & 2.2176173155355e-08 \tabularnewline
234 & 0.999999956548324 & 8.69033528668669e-08 & 4.34516764334334e-08 \tabularnewline
235 & 0.999999922876038 & 1.54247924029414e-07 & 7.71239620147068e-08 \tabularnewline
236 & 0.999999867505703 & 2.64988594818248e-07 & 1.32494297409124e-07 \tabularnewline
237 & 0.999999999300106 & 1.39978776999648e-09 & 6.99893884998241e-10 \tabularnewline
238 & 0.9999999989596 & 2.08079844930125e-09 & 1.04039922465063e-09 \tabularnewline
239 & 0.999999997488142 & 5.02371658748325e-09 & 2.51185829374162e-09 \tabularnewline
240 & 0.999999996583168 & 6.83366362968366e-09 & 3.41683181484183e-09 \tabularnewline
241 & 0.99999999504987 & 9.90026078853752e-09 & 4.95013039426876e-09 \tabularnewline
242 & 0.999999991029937 & 1.79401261209641e-08 & 8.97006306048207e-09 \tabularnewline
243 & 0.999999991493915 & 1.70121695881899e-08 & 8.50608479409496e-09 \tabularnewline
244 & 0.99999998658661 & 2.68267799178402e-08 & 1.34133899589201e-08 \tabularnewline
245 & 0.999999967232763 & 6.553447388224e-08 & 3.276723694112e-08 \tabularnewline
246 & 0.999999926212476 & 1.47575047360336e-07 & 7.3787523680168e-08 \tabularnewline
247 & 0.99999996407592 & 7.18481592231859e-08 & 3.5924079611593e-08 \tabularnewline
248 & 0.999999946252906 & 1.07494188879102e-07 & 5.37470944395509e-08 \tabularnewline
249 & 0.999999869187247 & 2.61625506835898e-07 & 1.30812753417949e-07 \tabularnewline
250 & 0.999999741918453 & 5.16163094716951e-07 & 2.58081547358475e-07 \tabularnewline
251 & 0.999999638546603 & 7.22906794161669e-07 & 3.61453397080835e-07 \tabularnewline
252 & 0.99999917001633 & 1.65996734094799e-06 & 8.29983670473997e-07 \tabularnewline
253 & 0.99999804041245 & 3.91917510159424e-06 & 1.95958755079712e-06 \tabularnewline
254 & 0.999995661610887 & 8.67677822670606e-06 & 4.33838911335303e-06 \tabularnewline
255 & 0.999990591946766 & 1.88161064678413e-05 & 9.40805323392067e-06 \tabularnewline
256 & 0.999978903639 & 4.21927220000262e-05 & 2.10963610000131e-05 \tabularnewline
257 & 0.99997172670172 & 5.65465965583498e-05 & 2.82732982791749e-05 \tabularnewline
258 & 0.999955495967282 & 8.90080654364731e-05 & 4.45040327182366e-05 \tabularnewline
259 & 0.999920267636206 & 0.000159464727587285 & 7.97323637936423e-05 \tabularnewline
260 & 0.999825291963917 & 0.000349416072166152 & 0.000174708036083076 \tabularnewline
261 & 0.999630462961752 & 0.000739074076495346 & 0.000369537038247673 \tabularnewline
262 & 0.999441163272197 & 0.0011176734556061 & 0.000558836727803051 \tabularnewline
263 & 0.998874026589246 & 0.00225194682150829 & 0.00112597341075415 \tabularnewline
264 & 0.997759154901954 & 0.00448169019609272 & 0.00224084509804636 \tabularnewline
265 & 0.998431692131314 & 0.00313661573737162 & 0.00156830786868581 \tabularnewline
266 & 0.997732724660714 & 0.00453455067857119 & 0.00226727533928559 \tabularnewline
267 & 0.997889706050629 & 0.00422058789874248 & 0.00211029394937124 \tabularnewline
268 & 0.99541804922571 & 0.00916390154857994 & 0.00458195077428997 \tabularnewline
269 & 0.999943553664437 & 0.000112892671126269 & 5.64463355631345e-05 \tabularnewline
270 & 0.999851083700398 & 0.000297832599203713 & 0.000148916299601856 \tabularnewline
271 & 0.999509638857282 & 0.00098072228543665 & 0.000490361142718326 \tabularnewline
272 & 0.998789945954827 & 0.00242010809034563 & 0.00121005404517281 \tabularnewline
273 & 0.99820228761406 & 0.00359542477187863 & 0.00179771238593931 \tabularnewline
274 & 0.994527984024665 & 0.0109440319506699 & 0.00547201597533495 \tabularnewline
275 & 0.989403017569214 & 0.0211939648615723 & 0.0105969824307862 \tabularnewline
276 & 0.984145599762618 & 0.0317088004747648 & 0.0158544002373824 \tabularnewline
277 & 0.994490113837214 & 0.0110197723255724 & 0.0055098861627862 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160541&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]12[/C][C]0.796816792255657[/C][C]0.406366415488686[/C][C]0.203183207744343[/C][/ROW]
[ROW][C]13[/C][C]0.903817418352489[/C][C]0.192365163295022[/C][C]0.0961825816475109[/C][/ROW]
[ROW][C]14[/C][C]0.886523614059613[/C][C]0.226952771880773[/C][C]0.113476385940387[/C][/ROW]
[ROW][C]15[/C][C]0.854059318093332[/C][C]0.291881363813336[/C][C]0.145940681906668[/C][/ROW]
[ROW][C]16[/C][C]0.78465492985973[/C][C]0.430690140280541[/C][C]0.21534507014027[/C][/ROW]
[ROW][C]17[/C][C]0.853028907892238[/C][C]0.293942184215525[/C][C]0.146971092107762[/C][/ROW]
[ROW][C]18[/C][C]0.796308710123778[/C][C]0.407382579752445[/C][C]0.203691289876222[/C][/ROW]
[ROW][C]19[/C][C]0.769711354185674[/C][C]0.460577291628652[/C][C]0.230288645814326[/C][/ROW]
[ROW][C]20[/C][C]0.790727211869858[/C][C]0.418545576260283[/C][C]0.209272788130142[/C][/ROW]
[ROW][C]21[/C][C]0.726877723005665[/C][C]0.54624455398867[/C][C]0.273122276994335[/C][/ROW]
[ROW][C]22[/C][C]0.654980349025468[/C][C]0.690039301949064[/C][C]0.345019650974532[/C][/ROW]
[ROW][C]23[/C][C]0.936168693564843[/C][C]0.127662612870315[/C][C]0.0638313064351573[/C][/ROW]
[ROW][C]24[/C][C]0.91634149070522[/C][C]0.167317018589559[/C][C]0.0836585092947795[/C][/ROW]
[ROW][C]25[/C][C]0.892134840661956[/C][C]0.215730318676088[/C][C]0.107865159338044[/C][/ROW]
[ROW][C]26[/C][C]0.972247277815049[/C][C]0.0555054443699024[/C][C]0.0277527221849512[/C][/ROW]
[ROW][C]27[/C][C]0.975539341554644[/C][C]0.0489213168907116[/C][C]0.0244606584453558[/C][/ROW]
[ROW][C]28[/C][C]0.97245810547571[/C][C]0.0550837890485799[/C][C]0.02754189452429[/C][/ROW]
[ROW][C]29[/C][C]0.990524753837143[/C][C]0.0189504923257145[/C][C]0.00947524616285724[/C][/ROW]
[ROW][C]30[/C][C]0.986060110265854[/C][C]0.0278797794682928[/C][C]0.0139398897341464[/C][/ROW]
[ROW][C]31[/C][C]0.984427067355242[/C][C]0.0311458652895167[/C][C]0.0155729326447584[/C][/ROW]
[ROW][C]32[/C][C]0.984003036568717[/C][C]0.031993926862566[/C][C]0.015996963431283[/C][/ROW]
[ROW][C]33[/C][C]0.990228511341068[/C][C]0.0195429773178641[/C][C]0.00977148865893203[/C][/ROW]
[ROW][C]34[/C][C]0.996961761338026[/C][C]0.00607647732394859[/C][C]0.00303823866197429[/C][/ROW]
[ROW][C]35[/C][C]0.99571358697677[/C][C]0.00857282604646145[/C][C]0.00428641302323073[/C][/ROW]
[ROW][C]36[/C][C]0.9943164325192[/C][C]0.0113671349616002[/C][C]0.00568356748080009[/C][/ROW]
[ROW][C]37[/C][C]0.99288319618266[/C][C]0.0142336076346806[/C][C]0.00711680381734031[/C][/ROW]
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[ROW][C]102[/C][C]0.999997872037185[/C][C]4.25592563002353e-06[/C][C]2.12796281501177e-06[/C][/ROW]
[ROW][C]103[/C][C]0.999998406600721[/C][C]3.18679855714912e-06[/C][C]1.59339927857456e-06[/C][/ROW]
[ROW][C]104[/C][C]0.999997570215312[/C][C]4.85956937621925e-06[/C][C]2.42978468810962e-06[/C][/ROW]
[ROW][C]105[/C][C]0.99999636706417[/C][C]7.26587165844484e-06[/C][C]3.63293582922242e-06[/C][/ROW]
[ROW][C]106[/C][C]0.999994683172207[/C][C]1.06336555851188e-05[/C][C]5.3168277925594e-06[/C][/ROW]
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[ROW][C]108[/C][C]0.999995113369364[/C][C]9.77326127233745e-06[/C][C]4.88663063616873e-06[/C][/ROW]
[ROW][C]109[/C][C]0.999992974989745[/C][C]1.40500205093442e-05[/C][C]7.02501025467208e-06[/C][/ROW]
[ROW][C]110[/C][C]0.999990124932982[/C][C]1.9750134035922e-05[/C][C]9.87506701796101e-06[/C][/ROW]
[ROW][C]111[/C][C]0.999985574155864[/C][C]2.88516882716364e-05[/C][C]1.44258441358182e-05[/C][/ROW]
[ROW][C]112[/C][C]0.999982573523361[/C][C]3.4852953278145e-05[/C][C]1.74264766390725e-05[/C][/ROW]
[ROW][C]113[/C][C]0.999982205887266[/C][C]3.55882254681186e-05[/C][C]1.77941127340593e-05[/C][/ROW]
[ROW][C]114[/C][C]0.999974662782674[/C][C]5.06744346517512e-05[/C][C]2.53372173258756e-05[/C][/ROW]
[ROW][C]115[/C][C]0.999980476872925[/C][C]3.90462541492391e-05[/C][C]1.95231270746196e-05[/C][/ROW]
[ROW][C]116[/C][C]0.999971722472772[/C][C]5.65550544550368e-05[/C][C]2.82775272275184e-05[/C][/ROW]
[ROW][C]117[/C][C]0.99996057157859[/C][C]7.88568428187785e-05[/C][C]3.94284214093893e-05[/C][/ROW]
[ROW][C]118[/C][C]0.999975736502748[/C][C]4.85269945038357e-05[/C][C]2.42634972519178e-05[/C][/ROW]
[ROW][C]119[/C][C]0.999970488672324[/C][C]5.90226553529353e-05[/C][C]2.95113276764677e-05[/C][/ROW]
[ROW][C]120[/C][C]0.999970469283048[/C][C]5.90614339041245e-05[/C][C]2.95307169520622e-05[/C][/ROW]
[ROW][C]121[/C][C]0.999959477274208[/C][C]8.10454515849223e-05[/C][C]4.05227257924612e-05[/C][/ROW]
[ROW][C]122[/C][C]0.999960136805947[/C][C]7.97263881058407e-05[/C][C]3.98631940529203e-05[/C][/ROW]
[ROW][C]123[/C][C]0.999976507365636[/C][C]4.69852687275708e-05[/C][C]2.34926343637854e-05[/C][/ROW]
[ROW][C]124[/C][C]0.999989479652953[/C][C]2.10406940948931e-05[/C][C]1.05203470474466e-05[/C][/ROW]
[ROW][C]125[/C][C]0.999996854958377[/C][C]6.29008324595195e-06[/C][C]3.14504162297598e-06[/C][/ROW]
[ROW][C]126[/C][C]0.99999580444616[/C][C]8.39110768054084e-06[/C][C]4.19555384027042e-06[/C][/ROW]
[ROW][C]127[/C][C]0.99999411917299[/C][C]1.17616540192756e-05[/C][C]5.88082700963778e-06[/C][/ROW]
[ROW][C]128[/C][C]0.999995303801696[/C][C]9.39239660774667e-06[/C][C]4.69619830387334e-06[/C][/ROW]
[ROW][C]129[/C][C]0.999994437235242[/C][C]1.1125529515921e-05[/C][C]5.5627647579605e-06[/C][/ROW]
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[ROW][C]134[/C][C]0.999996312347985[/C][C]7.37530402933677e-06[/C][C]3.68765201466839e-06[/C][/ROW]
[ROW][C]135[/C][C]0.99999565229309[/C][C]8.69541381804826e-06[/C][C]4.34770690902413e-06[/C][/ROW]
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[ROW][C]167[/C][C]0.999875576007553[/C][C]0.000248847984894126[/C][C]0.000124423992447063[/C][/ROW]
[ROW][C]168[/C][C]0.999837405929438[/C][C]0.000325188141123806[/C][C]0.000162594070561903[/C][/ROW]
[ROW][C]169[/C][C]0.99980468119038[/C][C]0.00039063761923826[/C][C]0.00019531880961913[/C][/ROW]
[ROW][C]170[/C][C]0.999996709124555[/C][C]6.58175088942444e-06[/C][C]3.29087544471222e-06[/C][/ROW]
[ROW][C]171[/C][C]0.999997217730169[/C][C]5.56453966242285e-06[/C][C]2.78226983121142e-06[/C][/ROW]
[ROW][C]172[/C][C]0.999996089554625[/C][C]7.82089075017857e-06[/C][C]3.91044537508928e-06[/C][/ROW]
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[ROW][C]175[/C][C]0.999999782736333[/C][C]4.3452733320617e-07[/C][C]2.17263666603085e-07[/C][/ROW]
[ROW][C]176[/C][C]0.999999814482523[/C][C]3.71034954500522e-07[/C][C]1.85517477250261e-07[/C][/ROW]
[ROW][C]177[/C][C]0.999999748200287[/C][C]5.03599425121923e-07[/C][C]2.51799712560962e-07[/C][/ROW]
[ROW][C]178[/C][C]0.999999640442493[/C][C]7.19115014406611e-07[/C][C]3.59557507203306e-07[/C][/ROW]
[ROW][C]179[/C][C]0.99999949265458[/C][C]1.01469084144849e-06[/C][C]5.07345420724243e-07[/C][/ROW]
[ROW][C]180[/C][C]0.999999758413048[/C][C]4.8317390409964e-07[/C][C]2.4158695204982e-07[/C][/ROW]
[ROW][C]181[/C][C]0.999999727991652[/C][C]5.44016695485942e-07[/C][C]2.72008347742971e-07[/C][/ROW]
[ROW][C]182[/C][C]0.999999939496992[/C][C]1.210060168496e-07[/C][C]6.05030084247998e-08[/C][/ROW]
[ROW][C]183[/C][C]0.999999902209377[/C][C]1.95581245310917e-07[/C][C]9.77906226554585e-08[/C][/ROW]
[ROW][C]184[/C][C]0.999999943712378[/C][C]1.12575243043533e-07[/C][C]5.62876215217666e-08[/C][/ROW]
[ROW][C]185[/C][C]0.999999993061954[/C][C]1.38760922116171e-08[/C][C]6.93804610580854e-09[/C][/ROW]
[ROW][C]186[/C][C]0.999999988568562[/C][C]2.28628768396376e-08[/C][C]1.14314384198188e-08[/C][/ROW]
[ROW][C]187[/C][C]0.999999982370482[/C][C]3.52590361556884e-08[/C][C]1.76295180778442e-08[/C][/ROW]
[ROW][C]188[/C][C]0.999999971432166[/C][C]5.71356673283121e-08[/C][C]2.85678336641561e-08[/C][/ROW]
[ROW][C]189[/C][C]0.99999996635375[/C][C]6.72924986259006e-08[/C][C]3.36462493129503e-08[/C][/ROW]
[ROW][C]190[/C][C]0.999999959692023[/C][C]8.06159537319356e-08[/C][C]4.03079768659678e-08[/C][/ROW]
[ROW][C]191[/C][C]0.999999991890874[/C][C]1.6218252281103e-08[/C][C]8.1091261405515e-09[/C][/ROW]
[ROW][C]192[/C][C]0.999999990000229[/C][C]1.99995421972758e-08[/C][C]9.99977109863788e-09[/C][/ROW]
[ROW][C]193[/C][C]0.999999989135138[/C][C]2.17297249586976e-08[/C][C]1.08648624793488e-08[/C][/ROW]
[ROW][C]194[/C][C]0.999999993599573[/C][C]1.28008535978631e-08[/C][C]6.40042679893153e-09[/C][/ROW]
[ROW][C]195[/C][C]0.99999999096292[/C][C]1.8074159796187e-08[/C][C]9.03707989809348e-09[/C][/ROW]
[ROW][C]196[/C][C]0.999999986508587[/C][C]2.6982825849417e-08[/C][C]1.34914129247085e-08[/C][/ROW]
[ROW][C]197[/C][C]0.99999997715601[/C][C]4.56879809808425e-08[/C][C]2.28439904904212e-08[/C][/ROW]
[ROW][C]198[/C][C]0.999999961478617[/C][C]7.70427666418249e-08[/C][C]3.85213833209125e-08[/C][/ROW]
[ROW][C]199[/C][C]0.999999939647536[/C][C]1.207049274894e-07[/C][C]6.03524637446998e-08[/C][/ROW]
[ROW][C]200[/C][C]0.999999900654257[/C][C]1.9869148555689e-07[/C][C]9.9345742778445e-08[/C][/ROW]
[ROW][C]201[/C][C]0.999999829301062[/C][C]3.41397875600635e-07[/C][C]1.70698937800317e-07[/C][/ROW]
[ROW][C]202[/C][C]0.99999974599844[/C][C]5.08003119639269e-07[/C][C]2.54001559819635e-07[/C][/ROW]
[ROW][C]203[/C][C]0.999999658200005[/C][C]6.83599990720362e-07[/C][C]3.41799995360181e-07[/C][/ROW]
[ROW][C]204[/C][C]0.999999418772797[/C][C]1.16245440554717e-06[/C][C]5.81227202773587e-07[/C][/ROW]
[ROW][C]205[/C][C]0.999999273488145[/C][C]1.45302371088349e-06[/C][C]7.26511855441744e-07[/C][/ROW]
[ROW][C]206[/C][C]0.999998789552456[/C][C]2.42089508747305e-06[/C][C]1.21044754373653e-06[/C][/ROW]
[ROW][C]207[/C][C]0.999998248939949[/C][C]3.50212010252e-06[/C][C]1.75106005126e-06[/C][/ROW]
[ROW][C]208[/C][C]0.999999943865256[/C][C]1.12269487806082e-07[/C][C]5.61347439030412e-08[/C][/ROW]
[ROW][C]209[/C][C]0.999999981745472[/C][C]3.65090557338963e-08[/C][C]1.82545278669481e-08[/C][/ROW]
[ROW][C]210[/C][C]0.999999976537024[/C][C]4.69259515129647e-08[/C][C]2.34629757564823e-08[/C][/ROW]
[ROW][C]211[/C][C]0.999999961053834[/C][C]7.78923311248316e-08[/C][C]3.89461655624158e-08[/C][/ROW]
[ROW][C]212[/C][C]0.999999973816524[/C][C]5.23669528702332e-08[/C][C]2.61834764351166e-08[/C][/ROW]
[ROW][C]213[/C][C]0.99999995146741[/C][C]9.70651809134914e-08[/C][C]4.85325904567457e-08[/C][/ROW]
[ROW][C]214[/C][C]0.99999991210117[/C][C]1.75797660405425e-07[/C][C]8.78988302027124e-08[/C][/ROW]
[ROW][C]215[/C][C]0.999999916985795[/C][C]1.66028410236545e-07[/C][C]8.30142051182724e-08[/C][/ROW]
[ROW][C]216[/C][C]0.999999896350645[/C][C]2.07298710838094e-07[/C][C]1.03649355419047e-07[/C][/ROW]
[ROW][C]217[/C][C]0.999999919311208[/C][C]1.61377583208888e-07[/C][C]8.06887916044441e-08[/C][/ROW]
[ROW][C]218[/C][C]0.999999863755022[/C][C]2.72489955948802e-07[/C][C]1.36244977974401e-07[/C][/ROW]
[ROW][C]219[/C][C]0.999999764285415[/C][C]4.71429169815369e-07[/C][C]2.35714584907685e-07[/C][/ROW]
[ROW][C]220[/C][C]0.999999773081555[/C][C]4.53836889527353e-07[/C][C]2.26918444763677e-07[/C][/ROW]
[ROW][C]221[/C][C]0.999999613705106[/C][C]7.725897884476e-07[/C][C]3.862948942238e-07[/C][/ROW]
[ROW][C]222[/C][C]0.999999664537162[/C][C]6.70925676568844e-07[/C][C]3.35462838284422e-07[/C][/ROW]
[ROW][C]223[/C][C]0.99999988787153[/C][C]2.24256940176116e-07[/C][C]1.12128470088058e-07[/C][/ROW]
[ROW][C]224[/C][C]0.99999978830346[/C][C]4.23393077799306e-07[/C][C]2.11696538899653e-07[/C][/ROW]
[ROW][C]225[/C][C]0.99999960404682[/C][C]7.91906360435322e-07[/C][C]3.95953180217661e-07[/C][/ROW]
[ROW][C]226[/C][C]0.999999429113671[/C][C]1.14177265792025e-06[/C][C]5.70886328960126e-07[/C][/ROW]
[ROW][C]227[/C][C]0.999999311131873[/C][C]1.37773625337169e-06[/C][C]6.88868126685843e-07[/C][/ROW]
[ROW][C]228[/C][C]0.999999131564813[/C][C]1.73687037437683e-06[/C][C]8.68435187188415e-07[/C][/ROW]
[ROW][C]229[/C][C]0.999998903836117[/C][C]2.19232776536966e-06[/C][C]1.09616388268483e-06[/C][/ROW]
[ROW][C]230[/C][C]0.99999995779494[/C][C]8.44101212896663e-08[/C][C]4.22050606448331e-08[/C][/ROW]
[ROW][C]231[/C][C]0.999999967788797[/C][C]6.44224052711163e-08[/C][C]3.22112026355582e-08[/C][/ROW]
[ROW][C]232[/C][C]0.999999941316443[/C][C]1.17367113065107e-07[/C][C]5.86835565325537e-08[/C][/ROW]
[ROW][C]233[/C][C]0.999999977823827[/C][C]4.435234631071e-08[/C][C]2.2176173155355e-08[/C][/ROW]
[ROW][C]234[/C][C]0.999999956548324[/C][C]8.69033528668669e-08[/C][C]4.34516764334334e-08[/C][/ROW]
[ROW][C]235[/C][C]0.999999922876038[/C][C]1.54247924029414e-07[/C][C]7.71239620147068e-08[/C][/ROW]
[ROW][C]236[/C][C]0.999999867505703[/C][C]2.64988594818248e-07[/C][C]1.32494297409124e-07[/C][/ROW]
[ROW][C]237[/C][C]0.999999999300106[/C][C]1.39978776999648e-09[/C][C]6.99893884998241e-10[/C][/ROW]
[ROW][C]238[/C][C]0.9999999989596[/C][C]2.08079844930125e-09[/C][C]1.04039922465063e-09[/C][/ROW]
[ROW][C]239[/C][C]0.999999997488142[/C][C]5.02371658748325e-09[/C][C]2.51185829374162e-09[/C][/ROW]
[ROW][C]240[/C][C]0.999999996583168[/C][C]6.83366362968366e-09[/C][C]3.41683181484183e-09[/C][/ROW]
[ROW][C]241[/C][C]0.99999999504987[/C][C]9.90026078853752e-09[/C][C]4.95013039426876e-09[/C][/ROW]
[ROW][C]242[/C][C]0.999999991029937[/C][C]1.79401261209641e-08[/C][C]8.97006306048207e-09[/C][/ROW]
[ROW][C]243[/C][C]0.999999991493915[/C][C]1.70121695881899e-08[/C][C]8.50608479409496e-09[/C][/ROW]
[ROW][C]244[/C][C]0.99999998658661[/C][C]2.68267799178402e-08[/C][C]1.34133899589201e-08[/C][/ROW]
[ROW][C]245[/C][C]0.999999967232763[/C][C]6.553447388224e-08[/C][C]3.276723694112e-08[/C][/ROW]
[ROW][C]246[/C][C]0.999999926212476[/C][C]1.47575047360336e-07[/C][C]7.3787523680168e-08[/C][/ROW]
[ROW][C]247[/C][C]0.99999996407592[/C][C]7.18481592231859e-08[/C][C]3.5924079611593e-08[/C][/ROW]
[ROW][C]248[/C][C]0.999999946252906[/C][C]1.07494188879102e-07[/C][C]5.37470944395509e-08[/C][/ROW]
[ROW][C]249[/C][C]0.999999869187247[/C][C]2.61625506835898e-07[/C][C]1.30812753417949e-07[/C][/ROW]
[ROW][C]250[/C][C]0.999999741918453[/C][C]5.16163094716951e-07[/C][C]2.58081547358475e-07[/C][/ROW]
[ROW][C]251[/C][C]0.999999638546603[/C][C]7.22906794161669e-07[/C][C]3.61453397080835e-07[/C][/ROW]
[ROW][C]252[/C][C]0.99999917001633[/C][C]1.65996734094799e-06[/C][C]8.29983670473997e-07[/C][/ROW]
[ROW][C]253[/C][C]0.99999804041245[/C][C]3.91917510159424e-06[/C][C]1.95958755079712e-06[/C][/ROW]
[ROW][C]254[/C][C]0.999995661610887[/C][C]8.67677822670606e-06[/C][C]4.33838911335303e-06[/C][/ROW]
[ROW][C]255[/C][C]0.999990591946766[/C][C]1.88161064678413e-05[/C][C]9.40805323392067e-06[/C][/ROW]
[ROW][C]256[/C][C]0.999978903639[/C][C]4.21927220000262e-05[/C][C]2.10963610000131e-05[/C][/ROW]
[ROW][C]257[/C][C]0.99997172670172[/C][C]5.65465965583498e-05[/C][C]2.82732982791749e-05[/C][/ROW]
[ROW][C]258[/C][C]0.999955495967282[/C][C]8.90080654364731e-05[/C][C]4.45040327182366e-05[/C][/ROW]
[ROW][C]259[/C][C]0.999920267636206[/C][C]0.000159464727587285[/C][C]7.97323637936423e-05[/C][/ROW]
[ROW][C]260[/C][C]0.999825291963917[/C][C]0.000349416072166152[/C][C]0.000174708036083076[/C][/ROW]
[ROW][C]261[/C][C]0.999630462961752[/C][C]0.000739074076495346[/C][C]0.000369537038247673[/C][/ROW]
[ROW][C]262[/C][C]0.999441163272197[/C][C]0.0011176734556061[/C][C]0.000558836727803051[/C][/ROW]
[ROW][C]263[/C][C]0.998874026589246[/C][C]0.00225194682150829[/C][C]0.00112597341075415[/C][/ROW]
[ROW][C]264[/C][C]0.997759154901954[/C][C]0.00448169019609272[/C][C]0.00224084509804636[/C][/ROW]
[ROW][C]265[/C][C]0.998431692131314[/C][C]0.00313661573737162[/C][C]0.00156830786868581[/C][/ROW]
[ROW][C]266[/C][C]0.997732724660714[/C][C]0.00453455067857119[/C][C]0.00226727533928559[/C][/ROW]
[ROW][C]267[/C][C]0.997889706050629[/C][C]0.00422058789874248[/C][C]0.00211029394937124[/C][/ROW]
[ROW][C]268[/C][C]0.99541804922571[/C][C]0.00916390154857994[/C][C]0.00458195077428997[/C][/ROW]
[ROW][C]269[/C][C]0.999943553664437[/C][C]0.000112892671126269[/C][C]5.64463355631345e-05[/C][/ROW]
[ROW][C]270[/C][C]0.999851083700398[/C][C]0.000297832599203713[/C][C]0.000148916299601856[/C][/ROW]
[ROW][C]271[/C][C]0.999509638857282[/C][C]0.00098072228543665[/C][C]0.000490361142718326[/C][/ROW]
[ROW][C]272[/C][C]0.998789945954827[/C][C]0.00242010809034563[/C][C]0.00121005404517281[/C][/ROW]
[ROW][C]273[/C][C]0.99820228761406[/C][C]0.00359542477187863[/C][C]0.00179771238593931[/C][/ROW]
[ROW][C]274[/C][C]0.994527984024665[/C][C]0.0109440319506699[/C][C]0.00547201597533495[/C][/ROW]
[ROW][C]275[/C][C]0.989403017569214[/C][C]0.0211939648615723[/C][C]0.0105969824307862[/C][/ROW]
[ROW][C]276[/C][C]0.984145599762618[/C][C]0.0317088004747648[/C][C]0.0158544002373824[/C][/ROW]
[ROW][C]277[/C][C]0.994490113837214[/C][C]0.0110197723255724[/C][C]0.0055098861627862[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160541&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160541&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.7968167922556570.4063664154886860.203183207744343
130.9038174183524890.1923651632950220.0961825816475109
140.8865236140596130.2269527718807730.113476385940387
150.8540593180933320.2918813638133360.145940681906668
160.784654929859730.4306901402805410.21534507014027
170.8530289078922380.2939421842155250.146971092107762
180.7963087101237780.4073825797524450.203691289876222
190.7697113541856740.4605772916286520.230288645814326
200.7907272118698580.4185455762602830.209272788130142
210.7268777230056650.546244553988670.273122276994335
220.6549803490254680.6900393019490640.345019650974532
230.9361686935648430.1276626128703150.0638313064351573
240.916341490705220.1673170185895590.0836585092947795
250.8921348406619560.2157303186760880.107865159338044
260.9722472778150490.05550544436990240.0277527221849512
270.9755393415546440.04892131689071160.0244606584453558
280.972458105475710.05508378904857990.02754189452429
290.9905247538371430.01895049232571450.00947524616285724
300.9860601102658540.02787977946829280.0139398897341464
310.9844270673552420.03114586528951670.0155729326447584
320.9840030365687170.0319939268625660.015996963431283
330.9902285113410680.01954297731786410.00977148865893203
340.9969617613380260.006076477323948590.00303823866197429
350.995713586976770.008572826046461450.00428641302323073
360.99431643251920.01136713496160020.00568356748080009
370.992883196182660.01423360763468060.00711680381734031
380.992782620705930.01443475858813830.00721737929406913
390.9986354493550070.002729101289985650.00136455064499283
400.9981139474447180.003772105110563050.00188605255528153
410.9972938933427750.005412213314449780.00270610665722489
420.996421276911320.007157446177360340.00357872308868017
430.9992367556017530.001526488796493940.00076324439824697
440.9990430881425960.001913823714808890.000956911857404443
450.9986907508574470.002618498285105150.00130924914255258
460.998103960926520.003792078146958720.00189603907347936
470.998898969768790.002202060462417890.00110103023120895
480.998418263375140.003163473249718790.00158173662485939
490.9979050921979750.004189815604050040.00209490780202502
500.9986678120581920.002664375883616470.00133218794180823
510.9984053592395950.003189281520810730.00159464076040537
520.997747214407960.004505571184081070.00225278559204054
530.9981097152091250.003780569581750170.00189028479087509
540.9992582670321720.001483465935656380.000741732967828189
550.999553776419980.0008924471600408890.000446223580020445
560.9993558050443150.001288389911370830.000644194955685416
570.999139469054390.001721061891220730.000860530945610365
580.999705351259910.0005892974801821510.000294648740091076
590.9995691947378580.0008616105242842310.000430805262142115
600.9993896286730330.001220742653934850.000610371326967427
610.9991401666211940.001719666757612980.000859833378806491
620.9987870563252050.002425887349590870.00121294367479543
630.9991530143212170.00169397135756620.0008469856787831
640.9988649864979550.002270027004089830.00113501350204492
650.9998002804958670.0003994390082664530.000199719504133226
660.999732669037980.0005346619240418680.000267330962020934
670.9997205233972680.000558953205462970.000279476602731485
680.9996003575391560.0007992849216886150.000399642460844307
690.9995491771550620.0009016456898767750.000450822844938388
700.9993985423568760.001202915286248240.000601457643124122
710.9991836546922370.001632690615526450.000816345307763225
720.9994444324703920.001111135059215280.000555567529607641
730.9993480759994330.001303848001133730.000651924000566864
740.9994915732314380.001016853537123420.000508426768561712
750.9996181701255820.0007636597488357240.000381829874417862
760.9995649911595520.0008700176808965930.000435008840448296
770.999564761760020.0008704764799582980.000435238239979149
780.9994850764539860.001029847092028390.000514923546014195
790.9993232176699120.001353564660175390.000676782330087697
800.999069959739920.001860080520160230.000930040260080114
810.998744027445510.002511945108979490.00125597255448975
820.9988890929690330.002221814061934530.00111090703096727
830.9997235814126280.0005528371747430880.000276418587371544
840.999775375796250.0004492484075019310.000224624203750966
850.999689078130950.0006218437380981980.000310921869049099
860.9996943506172920.0006112987654168170.000305649382708409
870.9995743862425510.000851227514897930.000425613757448965
880.999431337276120.001137325447758270.000568662723879136
890.9998269059275320.0003461881449360750.000173094072468037
900.9997946474204650.0004107051590709370.000205352579535468
910.9997218436113380.0005563127773243980.000278156388662199
920.9996170213091430.0007659573817148280.000382978690857414
930.9994810990399860.001037801920027540.000518900960013768
940.9993118483820850.001376303235830960.00068815161791548
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1800.9999997584130484.8317390409964e-072.4158695204982e-07
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1900.9999999596920238.06159537319356e-084.03079768659678e-08
1910.9999999918908741.6218252281103e-088.1091261405515e-09
1920.9999999900002291.99995421972758e-089.99977109863788e-09
1930.9999999891351382.17297249586976e-081.08648624793488e-08
1940.9999999935995731.28008535978631e-086.40042679893153e-09
1950.999999990962921.8074159796187e-089.03707989809348e-09
1960.9999999865085872.6982825849417e-081.34914129247085e-08
1970.999999977156014.56879809808425e-082.28439904904212e-08
1980.9999999614786177.70427666418249e-083.85213833209125e-08
1990.9999999396475361.207049274894e-076.03524637446998e-08
2000.9999999006542571.9869148555689e-079.9345742778445e-08
2010.9999998293010623.41397875600635e-071.70698937800317e-07
2020.999999745998445.08003119639269e-072.54001559819635e-07
2030.9999996582000056.83599990720362e-073.41799995360181e-07
2040.9999994187727971.16245440554717e-065.81227202773587e-07
2050.9999992734881451.45302371088349e-067.26511855441744e-07
2060.9999987895524562.42089508747305e-061.21044754373653e-06
2070.9999982489399493.50212010252e-061.75106005126e-06
2080.9999999438652561.12269487806082e-075.61347439030412e-08
2090.9999999817454723.65090557338963e-081.82545278669481e-08
2100.9999999765370244.69259515129647e-082.34629757564823e-08
2110.9999999610538347.78923311248316e-083.89461655624158e-08
2120.9999999738165245.23669528702332e-082.61834764351166e-08
2130.999999951467419.70651809134914e-084.85325904567457e-08
2140.999999912101171.75797660405425e-078.78988302027124e-08
2150.9999999169857951.66028410236545e-078.30142051182724e-08
2160.9999998963506452.07298710838094e-071.03649355419047e-07
2170.9999999193112081.61377583208888e-078.06887916044441e-08
2180.9999998637550222.72489955948802e-071.36244977974401e-07
2190.9999997642854154.71429169815369e-072.35714584907685e-07
2200.9999997730815554.53836889527353e-072.26918444763677e-07
2210.9999996137051067.725897884476e-073.862948942238e-07
2220.9999996645371626.70925676568844e-073.35462838284422e-07
2230.999999887871532.24256940176116e-071.12128470088058e-07
2240.999999788303464.23393077799306e-072.11696538899653e-07
2250.999999604046827.91906360435322e-073.95953180217661e-07
2260.9999994291136711.14177265792025e-065.70886328960126e-07
2270.9999993111318731.37773625337169e-066.88868126685843e-07
2280.9999991315648131.73687037437683e-068.68435187188415e-07
2290.9999989038361172.19232776536966e-061.09616388268483e-06
2300.999999957794948.44101212896663e-084.22050606448331e-08
2310.9999999677887976.44224052711163e-083.22112026355582e-08
2320.9999999413164431.17367113065107e-075.86835565325537e-08
2330.9999999778238274.435234631071e-082.2176173155355e-08
2340.9999999565483248.69033528668669e-084.34516764334334e-08
2350.9999999228760381.54247924029414e-077.71239620147068e-08
2360.9999998675057032.64988594818248e-071.32494297409124e-07
2370.9999999993001061.39978776999648e-096.99893884998241e-10
2380.99999999895962.08079844930125e-091.04039922465063e-09
2390.9999999974881425.02371658748325e-092.51185829374162e-09
2400.9999999965831686.83366362968366e-093.41683181484183e-09
2410.999999995049879.90026078853752e-094.95013039426876e-09
2420.9999999910299371.79401261209641e-088.97006306048207e-09
2430.9999999914939151.70121695881899e-088.50608479409496e-09
2440.999999986586612.68267799178402e-081.34133899589201e-08
2450.9999999672327636.553447388224e-083.276723694112e-08
2460.9999999262124761.47575047360336e-077.3787523680168e-08
2470.999999964075927.18481592231859e-083.5924079611593e-08
2480.9999999462529061.07494188879102e-075.37470944395509e-08
2490.9999998691872472.61625506835898e-071.30812753417949e-07
2500.9999997419184535.16163094716951e-072.58081547358475e-07
2510.9999996385466037.22906794161669e-073.61453397080835e-07
2520.999999170016331.65996734094799e-068.29983670473997e-07
2530.999998040412453.91917510159424e-061.95958755079712e-06
2540.9999956616108878.67677822670606e-064.33838911335303e-06
2550.9999905919467661.88161064678413e-059.40805323392067e-06
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2580.9999554959672828.90080654364731e-054.45040327182366e-05
2590.9999202676362060.0001594647275872857.97323637936423e-05
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Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2370.890977443609023NOK
5% type I error level2500.93984962406015NOK
10% type I error level2520.947368421052632NOK

\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 & 237 & 0.890977443609023 & NOK \tabularnewline
5% type I error level & 250 & 0.93984962406015 & NOK \tabularnewline
10% type I error level & 252 & 0.947368421052632 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160541&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]237[/C][C]0.890977443609023[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]250[/C][C]0.93984962406015[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]252[/C][C]0.947368421052632[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160541&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160541&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2370.890977443609023NOK
5% type I error level2500.93984962406015NOK
10% type I error level2520.947368421052632NOK


Figures (Output of Computation)

Figure 1
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Figure 9
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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
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')
}