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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 computationWed, 14 Dec 2011 15:24:56 -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/14/t1323894335bid60lw7x0qk2a0.htm/, Retrieved Wed, 01 May 2024 22:29:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155234, Retrieved Wed, 01 May 2024 22:29:26 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2010-12-05 18:56:24] [b98453cac15ba1066b407e146608df68]
-   PD    [Multiple Regression] [] [2011-12-14 20:24:56] [86c924663d3d275e16f9cde57b3a6185] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1418	210907	396	79	30	112285	144	145
869	120982	297	58	28	84786	103	101
1530	176508	559	60	38	83123	98	98
2172	179321	967	108	30	101193	135	132
901	123185	270	49	22	38361	61	60
463	52746	143	0	26	68504	39	38
3201	385534	1562	121	25	119182	150	144
371	33170	109	1	18	22807	5	5
1192	101645	371	20	11	17140	28	28
1583	149061	656	43	26	116174	84	84
1439	165446	511	69	25	57635	80	79
1764	237213	655	78	38	66198	130	127
1495	173326	465	86	44	71701	82	78
1373	133131	525	44	30	57793	60	60
2187	258873	885	104	40	80444	131	131
1491	180083	497	63	34	53855	84	84
4041	324799	1436	158	47	97668	140	133
1706	230964	612	102	30	133824	151	150
2152	236785	865	77	31	101481	91	91
1036	135473	385	82	23	99645	138	132
1882	202925	567	115	36	114789	150	136
1929	215147	639	101	36	99052	124	124
2242	344297	963	80	30	67654	119	118
1220	153935	398	50	25	65553	73	70
1289	132943	410	83	39	97500	110	107
2515	174724	966	123	34	69112	123	119
2147	174415	801	73	31	82753	90	89
2352	225548	892	81	31	85323	116	112
1638	223632	513	105	33	72654	113	108
1222	124817	469	47	25	30727	56	52
1812	221698	683	105	33	77873	115	112
1677	210767	643	94	35	117478	119	116
1579	170266	535	44	42	74007	129	123
1731	260561	625	114	43	90183	127	125
807	84853	264	38	30	61542	27	27
2452	294424	992	107	33	101494	175	162
829	101011	238	30	13	27570	35	32
1940	215641	818	71	32	55813	64	64
2662	325107	937	84	36	79215	96	92
186	7176	70	0	0	1423	0	0
1499	167542	507	59	28	55461	84	83
865	106408	260	33	14	31081	41	41
1793	96560	503	42	17	22996	47	47
2527	265769	927	96	32	83122	126	120
2747	269651	1269	106	30	70106	105	105
1324	149112	537	56	35	60578	80	79
2702	175824	910	57	20	39992	70	65
1383	152871	532	59	28	79892	73	70
1179	111665	345	39	28	49810	57	55
2099	116408	918	34	39	71570	40	39
4308	362301	1635	76	34	100708	68	67
918	78800	330	20	26	33032	21	21
1831	183167	557	91	39	82875	127	127
3373	277965	1178	115	39	139077	154	152
1713	150629	740	85	33	71595	116	113
1438	168809	452	76	28	72260	102	99
496	24188	218	8	4	5950	7	7
2253	329267	764	79	39	115762	148	141
744	65029	255	21	18	32551	21	21
1161	101097	454	30	14	31701	35	35
2352	218946	866	76	29	80670	112	109
2144	244052	574	101	44	143558	137	133
4691	341570	1276	94	21	117105	135	123
1112	103597	379	27	16	23789	26	26
2694	233328	825	92	28	120733	230	230
1973	256462	798	123	35	105195	181	166
1769	206161	663	75	28	73107	71	68
3148	311473	1069	128	38	132068	147	147
2474	235800	921	105	23	149193	190	179
2084	177939	858	55	36	46821	64	61
1954	207176	711	56	32	87011	105	101
1226	196553	503	41	29	95260	107	108
1389	174184	382	72	25	55183	94	90
1496	143246	464	67	27	106671	116	114
2269	187559	717	75	36	73511	106	103
1833	187681	690	114	28	92945	143	142
1268	119016	462	118	23	78664	81	79
1943	182192	657	77	40	70054	89	88
893	73566	385	22	23	22618	26	25
1762	194979	577	66	40	74011	84	83
1403	167488	619	69	28	83737	113	113
1425	143756	479	105	34	69094	120	118
1857	275541	817	116	33	93133	110	110
1840	243199	752	88	28	95536	134	129
1502	182999	430	73	34	225920	54	51
1441	135649	451	99	30	62133	96	93
1420	152299	537	62	33	61370	78	76
1416	120221	519	53	22	43836	51	49
2970	346485	1000	118	38	106117	121	118
1317	145790	637	30	26	38692	38	38
1644	193339	465	100	35	84651	145	141
870	80953	437	49	8	56622	59	58
1654	122774	711	24	24	15986	27	27
1054	130585	299	67	29	95364	91	91
937	112611	248	46	20	26706	48	48
3004	286468	1162	57	29	89691	68	63
2008	241066	714	75	45	67267	58	56
2547	148446	905	135	37	126846	150	144
1885	204713	649	68	33	41140	74	73
1626	182079	512	124	33	102860	181	168
1468	140344	472	33	25	51715	65	64
2445	220516	905	98	32	55801	97	97
1964	243060	786	58	29	111813	121	117
1381	162765	489	68	28	120293	99	100
1369	182613	479	81	28	138599	152	149
1659	232138	617	131	31	161647	188	187
2888	265318	925	110	52	115929	138	127
1290	85574	351	37	21	24266	40	37
2845	310839	1144	130	24	162901	254	245
1982	225060	669	93	41	109825	87	87
1904	232317	707	118	33	129838	178	177
1391	144966	458	39	32	37510	51	49
602	43287	214	13	19	43750	49	49
1743	155754	599	74	20	40652	73	73
1559	164709	572	81	31	87771	176	177
2014	201940	897	109	31	85872	94	94
2143	235454	819	151	32	89275	120	117
2146	220801	720	51	18	44418	66	60
874	99466	273	28	23	192565	56	55
1590	92661	508	40	17	35232	39	39
1590	133328	506	56	20	40909	66	64
1210	61361	451	27	12	13294	27	26
2072	125930	699	37	17	32387	65	64
1281	100750	407	83	30	140867	58	58
1401	224549	465	54	31	120662	98	95
834	82316	245	27	10	21233	25	25
1105	102010	370	28	13	44332	26	26
1272	101523	316	59	22	61056	77	76
1944	243511	603	133	42	101338	130	129
391	22938	154	12	1	1168	11	11
761	41566	229	0	9	13497	2	2
1605	152474	577	106	32	65567	101	101
530	61857	192	23	11	25162	31	28
1988	99923	617	44	25	32334	36	36
1386	132487	411	71	36	40735	120	89
2395	317394	975	116	31	91413	195	193
387	21054	146	4	0	855	4	4
1742	209641	705	62	24	97068	89	84
620	22648	184	12	13	44339	24	23
449	31414	200	18	8	14116	39	39
800	46698	274	14	13	10288	14	14
1684	131698	502	60	19	65622	78	78
1050	91735	382	7	18	16563	15	14
2699	244749	964	98	33	76643	106	101
1606	184510	537	64	40	110681	83	82
1502	79863	438	29	22	29011	24	24
1204	128423	369	32	38	92696	37	36
1138	97839	417	25	24	94785	77	75
568	38214	276	16	8	8773	16	16
1459	151101	514	48	35	83209	56	55
2158	272458	822	100	43	93815	132	131
1111	172494	389	46	43	86687	144	131
1421	108043	466	45	14	34553	40	39
2833	328107	1255	129	41	105547	153	144
1955	250579	694	130	38	103487	143	139
2922	351067	1024	136	45	213688	220	211
1002	158015	400	59	31	71220	79	78
1060	98866	397	25	13	23517	50	50
956	85439	350	32	28	56926	39	39
2186	229242	719	63	31	91721	95	90
3604	351619	1277	95	40	115168	169	166
1035	84207	356	14	30	111194	12	12
1417	120445	457	36	16	51009	63	57
3261	324598	1402	113	37	135777	134	133
1587	131069	600	47	30	51513	69	69
1424	204271	480	92	35	74163	119	119
1701	165543	595	70	32	51633	119	119
1249	141722	436	19	27	75345	75	65
946	116048	230	50	20	33416	63	61
1926	250047	651	41	18	83305	55	49
3352	299775	1367	91	31	98952	103	101
1641	195838	564	111	31	102372	197	196
2035	173260	716	41	21	37238	16	15
2312	254488	747	120	39	103772	140	136
1369	104389	467	135	41	123969	89	89
1577	136084	671	27	13	27142	40	40
2201	199476	861	87	32	135400	125	123
961	92499	319	25	18	21399	21	21
1900	224330	612	131	39	130115	167	163
1254	135781	433	45	14	24874	32	29
1335	74408	434	29	7	34988	36	35
1597	81240	503	58	17	45549	13	13
207	14688	85	4	0	6023	5	5
1645	181633	564	47	30	64466	96	96
2429	271856	824	109	37	54990	151	151
151	7199	74	7	0	1644	6	6
474	46660	259	12	5	6179	13	13
141	17547	69	0	1	3926	3	3
1639	133368	535	37	16	32755	57	56
872	95227	239	37	32	34777	23	23
1318	152601	438	46	24	73224	61	57
1018	98146	459	15	17	27114	21	14
1383	79619	426	42	11	20760	43	43
1314	59194	288	7	24	37636	20	20
1335	139942	498	54	22	65461	82	72
1403	118612	454	54	12	30080	90	87
910	72880	376	14	19	24094	25	21
616	65475	225	16	13	69008	60	56
1407	99643	555	33	17	54968	61	59
771	71965	252	32	15	46090	85	82
766	77272	208	21	16	27507	43	43
473	49289	130	15	24	10672	25	25
1376	135131	481	38	15	34029	41	38
1232	108446	389	22	17	46300	26	25
1521	89746	565	28	18	24760	38	38
572	44296	173	10	20	18779	12	12
1059	77648	278	31	16	21280	29	29
1544	181528	609	32	16	40662	49	47
1230	134019	422	32	18	28987	46	45
1206	124064	445	43	22	22827	41	40
1205	92630	387	27	8	18513	31	30
1255	121848	339	37	17	30594	41	41
613	52915	181	20	18	24006	26	25
721	81872	245	32	16	27913	23	23
1109	58981	384	0	23	42744	14	14
740	53515	212	5	22	12934	16	16
1126	60812	399	26	13	22574	25	26
728	56375	229	10	13	41385	21	21
689	65490	224	27	16	18653	32	27
592	80949	203	11	16	18472	9	9
995	76302	333	29	20	30976	35	33
1613	104011	384	25	22	63339	42	42
2048	98104	636	55	17	25568	68	68
705	67989	185	23	18	33747	32	32
301	30989	93	5	17	4154	6	6
1803	135458	581	43	12	19474	68	67
799	73504	248	23	7	35130	33	33
861	63123	304	34	17	39067	84	77
1186	61254	344	36	14	13310	46	46
1451	74914	407	35	23	65892	30	30
628	31774	170	0	17	4143	0	0
1161	81437	312	37	14	28579	36	36
1463	87186	507	28	15	51776	47	46
742	50090	224	16	17	21152	20	18
979	65745	340	26	21	38084	50	48
675	56653	168	38	18	27717	30	29
1241	158399	443	23	18	32928	30	28
676	46455	204	22	17	11342	34	34
1049	73624	367	30	17	19499	33	33
620	38395	210	16	16	16380	34	34
1081	91899	335	18	15	36874	37	33
1688	139526	364	28	21	48259	83	80
736	52164	178	32	16	16734	32	32
617	51567	206	21	14	28207	30	30
812	70551	279	23	15	30143	43	41
1051	84856	387	29	17	41369	41	41
1656	102538	490	50	15	45833	51	51
705	86678	238	12	15	29156	19	18
945	85709	343	21	10	35944	37	34
554	34662	232	18	6	36278	33	31
1597	150580	530	27	22	45588	41	39
982	99611	291	41	21	45097	54	54
222	19349	67	13	1	3895	14	14
1212	99373	397	12	18	28394	25	24
1143	86230	467	21	17	18632	25	24
435	30837	178	8	4	2325	8	8
532	31706	175	26	10	25139	26	26
882	89806	299	27	16	27975	20	19
608	62088	154	13	16	14483	11	11
459	40151	106	16	9	13127	14	14
578	27634	189	2	16	5839	3	1
826	76990	194	42	17	24069	40	39
509	37460	135	5	7	3738	5	5
717	54157	201	37	15	18625	38	37
637	49862	207	17	14	36341	32	32
857	84337	280	38	14	24548	41	38
830	64175	260	37	18	21792	46	47
652	59382	227	29	12	26263	47	47
707	119308	239	32	16	23686	37	37
954	76702	333	35	21	49303	51	51
1461	103425	428	17	19	25659	49	45
672	70344	230	20	16	28904	21	21
778	43410	292	7	1	2781	1	1
1141	104838	350	46	16	29236	44	42
680	62215	186	24	10	19546	26	26
1090	69304	326	40	19	22818	21	21
616	53117	155	3	12	32689	4	4
285	19764	75	10	2	5752	10	10
1145	86680	361	37	14	22197	43	43
733	84105	261	17	17	20055	34	34
888	77945	299	28	19	25272	32	31
849	89113	300	19	14	82206	20	19
1182	91005	450	29	11	32073	34	34
528	40248	183	8	4	5444	6	6
642	64187	238	10	16	20154	12	11
947	50857	165	15	20	36944	24	24
819	56613	234	15	12	8019	16	16
757	62792	176	28	15	30884	72	72
894	72535	329	17	16	19540	27	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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155234&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155234&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155234&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'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
time_in_rfc[t] = + 150.238747399651 + 0.000976070373231626pageviews[t] + 2.10255099201417compendium_views_info[t] + 0.713838268964094blogged_computations[t] + 2.7124137481061compendiums_reviewed[t] + 6.21960378747855e-05totale_size[t] + 5.80700708841054totale_hyperlinks[t] -6.16894518227319totale_blogs[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
time_in_rfc[t] =  +  150.238747399651 +  0.000976070373231626pageviews[t] +  2.10255099201417compendium_views_info[t] +  0.713838268964094blogged_computations[t] +  2.7124137481061compendiums_reviewed[t] +  6.21960378747855e-05totale_size[t] +  5.80700708841054totale_hyperlinks[t] -6.16894518227319totale_blogs[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155234&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]time_in_rfc[t] =  +  150.238747399651 +  0.000976070373231626pageviews[t] +  2.10255099201417compendium_views_info[t] +  0.713838268964094blogged_computations[t] +  2.7124137481061compendiums_reviewed[t] +  6.21960378747855e-05totale_size[t] +  5.80700708841054totale_hyperlinks[t] -6.16894518227319totale_blogs[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155234&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155234&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] = + 150.238747399651 + 0.000976070373231626pageviews[t] + 2.10255099201417compendium_views_info[t] + 0.713838268964094blogged_computations[t] + 2.7124137481061compendiums_reviewed[t] + 6.21960378747855e-05totale_size[t] + 5.80700708841054totale_hyperlinks[t] -6.16894518227319totale_blogs[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)150.23874739965129.2249195.14081e-060
pageviews0.0009760703732316260.0004142.35670.0191240.009562
compendium_views_info2.102550992014170.09059923.207200
blogged_computations0.7138382689640940.7626810.9360.3500980.175049
compendiums_reviewed2.71241374810611.8556541.46170.144940.07247
totale_size6.21960378747855e-050.0005080.12250.9026280.451314
totale_hyperlinks5.807007088410543.834241.51450.131020.06551
totale_blogs-6.168945182273193.958502-1.55840.1202630.060132

\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) & 150.238747399651 & 29.224919 & 5.1408 & 1e-06 & 0 \tabularnewline
pageviews & 0.000976070373231626 & 0.000414 & 2.3567 & 0.019124 & 0.009562 \tabularnewline
compendium_views_info & 2.10255099201417 & 0.090599 & 23.2072 & 0 & 0 \tabularnewline
blogged_computations & 0.713838268964094 & 0.762681 & 0.936 & 0.350098 & 0.175049 \tabularnewline
compendiums_reviewed & 2.7124137481061 & 1.855654 & 1.4617 & 0.14494 & 0.07247 \tabularnewline
totale_size & 6.21960378747855e-05 & 0.000508 & 0.1225 & 0.902628 & 0.451314 \tabularnewline
totale_hyperlinks & 5.80700708841054 & 3.83424 & 1.5145 & 0.13102 & 0.06551 \tabularnewline
totale_blogs & -6.16894518227319 & 3.958502 & -1.5584 & 0.120263 & 0.060132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155234&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]150.238747399651[/C][C]29.224919[/C][C]5.1408[/C][C]1e-06[/C][C]0[/C][/ROW]
[ROW][C]pageviews[/C][C]0.000976070373231626[/C][C]0.000414[/C][C]2.3567[/C][C]0.019124[/C][C]0.009562[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]2.10255099201417[/C][C]0.090599[/C][C]23.2072[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.713838268964094[/C][C]0.762681[/C][C]0.936[/C][C]0.350098[/C][C]0.175049[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]2.7124137481061[/C][C]1.855654[/C][C]1.4617[/C][C]0.14494[/C][C]0.07247[/C][/ROW]
[ROW][C]totale_size[/C][C]6.21960378747855e-05[/C][C]0.000508[/C][C]0.1225[/C][C]0.902628[/C][C]0.451314[/C][/ROW]
[ROW][C]totale_hyperlinks[/C][C]5.80700708841054[/C][C]3.83424[/C][C]1.5145[/C][C]0.13102[/C][C]0.06551[/C][/ROW]
[ROW][C]totale_blogs[/C][C]-6.16894518227319[/C][C]3.958502[/C][C]-1.5584[/C][C]0.120263[/C][C]0.060132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155234&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155234&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)150.23874739965129.2249195.14081e-060
pageviews0.0009760703732316260.0004142.35670.0191240.009562
compendium_views_info2.102550992014170.09059923.207200
blogged_computations0.7138382689640940.7626810.9360.3500980.175049
compendiums_reviewed2.71241374810611.8556541.46170.144940.07247
totale_size6.21960378747855e-050.0005080.12250.9026280.451314
totale_hyperlinks5.807007088410543.834241.51450.131020.06551
totale_blogs-6.168945182273193.958502-1.55840.1202630.060132






Multiple Linear Regression - Regression Statistics
Multiple R0.966276989542883
R-squared0.933691220520058
Adjusted R-squared0.932039400390664
F-TEST (value)565.249934847832
F-TEST (DF numerator)7
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation191.920854145049
Sum Squared Residuals10350245.6058701

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.966276989542883 \tabularnewline
R-squared & 0.933691220520058 \tabularnewline
Adjusted R-squared & 0.932039400390664 \tabularnewline
F-TEST (value) & 565.249934847832 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 281 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 191.920854145049 \tabularnewline
Sum Squared Residuals & 10350245.6058701 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155234&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.966276989542883[/C][/ROW]
[ROW][C]R-squared[/C][C]0.933691220520058[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.932039400390664[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]565.249934847832[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]281[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]191.920854145049[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]10350245.6058701[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155234&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155234&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 R0.966276989542883
R-squared0.933691220520058
Adjusted R-squared0.932039400390664
F-TEST (value)565.249934847832
F-TEST (DF numerator)7
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation191.920854145049
Sum Squared Residuals10350245.6058701






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
114181275.17030155005142.829698449953
2869990.465162433002-121.465162433002
315301613.45098799754-83.4509879975436
421722492.84141410295-320.841414102952
5901919.292545473156-18.2925454731556
6463569.224141515115-106.224141515115
732013955.05209164681-754.052091646809
8371460.939160110659-89.9391601106594
911921064.54292859351127.457071406495
1015831753.04678970104-170.046789701043
1114391483.99299386592-44.9929938659209
1217641893.26947268147-129.269472681467
1314951477.2960033885817.7039966114192
1413731478.68274932853-105.682749328532
1521872403.99977873308-216.999778733084
1614911481.120917568999.87908243100631
1740413725.38439150687315.615608493132
1817061776.46060365448-70.460603654481
1921522312.48990129715-160.489901297153
2010361206.13605359404-170.136053594037
2118821759.40647568644122.593524313561
2219291834.7923222881794.207677711832
2322422616.83905072114-374.839050721135
2412201236.97018384121-16.9701838412101
2512891291.83684916887-2.83684916886996
2625152516.32598784964-1.32598784964185
2721472119.5598514327527.4401485672499
2823522375.76839317593-23.768393175934
2916381606.0551601788331.9448398211726
3012221365.84442590248-143.844425902476
3118121948.8639432888-136.863943288803
3216771852.68060660063-175.680606600629
3315791581.55198671112-2.55198671112082
3417311888.65112148623-157.651121486234
35807890.688315363632-83.6883153636322
3624522712.40786912437-260.407869124366
37829813.4700017896615.52999821034
3819402198.39331671182-258.393316711825
3926622590.1222301304871.8777698695243
40186304.510102800849-118.510102800849
4114991477.0445253930421.9554746069553
42865849.38781015228415.6121898477159
4317931362.58266231174430.417337688256
4425272510.617808107316.3821918926959
4527473204.97039300696-457.970393006963
4613241540.74346910592-216.743469105917
4727022338.11020701637363.889792983632
4813831533.12709254607-150.127092546072
4911791083.2044189689495.795581031062
5020992320.20038725519-221.200387255189
5143084075.8354608938232.164539106204
529181000.24820255698-82.2482025569841
5318311630.07530937545200.924690624552
5433733051.48221666389321.517783336109
5517131984.31183427949-271.31183427949
5614381381.6439884828256.3560115171835
57496646.60091475892-150.60091475892
5822532236.9685444263416.031455573663
59744808.100025036046-64.1000250360461
6011611252.16746815057-91.1674681505659
6123522300.653440967451.3465590325963
6221441770.77781430089373.222185699111
6346913323.000823118461367.99917688154
6411121102.9649801659.03501983499921
6526942178.47192220072515.528077799276
6619732294.70208230218-321.702082302181
6717691872.29935106361-103.299351063612
6831482851.33755261205296.662447387953
6924742462.5535121501411.4464878498565
7020842263.07136264406-179.071362644062
7119541966.22706169278-12.2270616927832
7212261468.62729751755-242.627297517554
7313891236.72153117216152.278468827843
7414961363.69050463024132.309495369758
7522691976.73684744848292.26315255152
7618331901.70655171698-68.7065517169766
7712681372.31722307999-104.31722307999
7819431851.2225952930391.7774047069661
798931107.78173525241-214.781735252411
8017621689.7031070269972.2968929730081
8114031704.70941665078-301.709416650775
8214251438.05442296751-13.0544229675099
8318572275.26452074368-418.264520743681
8418402095.78876671785-255.788766717852
8515021390.30134462165111.698655378347
8614411370.5598208844570.4401791155541
8714201549.65448813497-129.654488134974
8814161452.91887240255-36.9188724025461
8929702759.60050398937210.399496010626
9013171712.45577607647-395.455776076468
9116441460.41545057774183.584549422261
928701193.08300269908-323.083002699075
9316541838.44055246173-184.440552461725
9410541005.843702830448.1562971695994
95937852.96046843569984.0395315643012
9630043004.1760681868-0.176068186797978
9720082057.88324692854-49.8832469285412
9825472385.2808884218161.719111578198
9918851834.6035627438850.3964372561212
10016261603.5753486738122.424651326192
10114681356.85487984952111.145120150478
10224452393.4025258986751.5974741013295
10319642147.98570729007-183.985707290068
10413811427.22579553955-46.2257955395509
10513691441.48485030755-72.4848503075517
10616591799.87175966966-140.871759669663
10728882598.75644331214289.24355668786
10812901060.67165722483229.328342775169
10928452990.57475349387-145.574753493872
11019821929.457747636252.5422523638008
11119041987.06198271729-83.0619827172929
11213911365.5530728552725.4469271447339
113602688.237686705062-86.2376867050618
11417431644.8728758736398.1271241263652
11515591591.16017465195-32.1601746519527
11620142366.54655325643-352.546553256426
11721432277.26131763568-134.261317635682
11821461980.71035582188165.289644178125
119874901.571163660134-27.5711636601341
12015901371.51857781899218.481422181006
12115901429.48463198819160.51536801181
12212101207.42794798472.57205201529968
12320721800.01879474794271.981205252058
12412811232.7060398429848.293960157019
12514011460.27427831071-59.2742783107058
126834784.37987615477849.6201238452222
12711051076.3472877852628.6527122147378
1281272997.625166948271274.374833051729
12919441830.04255049917113.957449500834
130391503.790501306444-112.790501306444
131761696.82157317306764.1784268269327
13216051642.22238046474-37.2223804647435
133530669.411885700784-139.411885700784
13419881633.24509222348354.754907776521
13513861442.37153767386-56.3715376738636
13623952624.36039851765-229.360398517647
137387479.222156184527-92.2221561845271
13817421951.18694907663-209.186949076632
139620603.28175074905616.7182492509437
140449622.721992943383-173.721992943383
141800812.746107515159-12.7461075151594
14216841404.48227583262279.517724167383
14310501098.54338413578-48.5433841357793
14426992572.70213441812126.297865581877
14516061596.597576873879.40242312613394
14615021222.60025737963279.39974262037
14712041175.8870556654828.112944334516
14811381195.8080555819-57.8080555819016
149568795.717733064983-227.717733064983
15014591498.70956689608-39.7095668960842
15121582296.71950073584-138.719500735839
15211111319.43650758287-208.436507582871
15314211299.42207671464121.577923285357
15428333319.19844818511-486.198448185105
15519552029.21768598314-74.2176859831382
15629222854.2423571174267.7576428825775
15710021253.69962587625-251.699625876251
15810601117.92475972824-57.9247597282449
1599561057.74146676839-101.741466768386
16021862016.95116207856169.048837921442
16136043319.21472921691284.785270783095
16210351074.87757579319-39.8775757931886
16314171315.14827338266101.851726617338
16432613561.98279432583-300.982794325828
16515871632.85489746427-45.8548974642655
16614241480.99570829251-56.9957082925124
16717011659.7448590647841.2551409352195
16812491331.30997891885-82.309978918853
169946828.650811898844117.349188101156
17019261863.4420451761162.5579548238857
17133523447.28424732203-95.2842473220336
17216411631.784324175539.21567582447016
17320351913.70126002452121.298739975483
17423122141.1459188597170.854081140301
17513691417.09609110957-48.0960911095707
17615771735.62363680491-158.623636804913
17722012279.65590679384-78.6559067938358
178961971.637684539103-10.6376845391025
17919001827.5835272719272.4164727280845
18012541271.74353365573-17.7435336557319
18113351170.3768170783164.623182921698
18215971372.75927893078224.240721069219
183207344.712372705544-137.712372705544
18416451597.5503808481447.4496191518602
18524292275.02654015107153.97345984893
186151315.781741031433-164.781741031433
187474758.150140012222-284.150140012222
188141314.312653798939-173.312653798939
18916391462.66642263845176.333577361553
190872852.74435926416319.2556407358372
19113181325.19168693509-7.191686935086
19210181305.19396301335-287.193963013345
19313831169.18482727986213.815172720138
1941314878.747788814302435.252211185698
19513351468.2046935372-133.204693537199
19614031279.47005230362123.529947696377
1979101090.58940589669-180.589405896695
198616741.155238597982-125.155238597982
19914071477.75928320988-70.7592832098791
200771804.462245579421-33.4622455794213
201766707.52897561462458.4710243853761
202473539.100716746348-66.100716746348
20313761367.059043277158.94095672285125
20412321135.435717919196.5642820808992
20515211482.3757149316138.6242850683938
206572615.427462191432-43.4274621914323
2071059866.892768791823192.107231208177
20815441671.24978788216-127.249787882161
20912301231.31618286699-1.31618286698858
21012061290.08651394483-84.0865139448277
21112051091.41262275017113.587377249833
21212551041.52216993383213.47783006617
213613643.801086426025-30.8010864260253
214721804.929520463249-83.9295204632489
21511091075.1648253519533.83517464805
216740706.4696915853733.5303084146297
21711261088.5211742988637.4788257011417
218728724.1219363331813.87806366681855
219689768.228121187732-79.2281211877319
220592705.210802716416-113.210802716416
2219951001.41057566933-6.41057566933291
22216131125.39747800644487.602521993557
22320481645.56816264073402.43183735927
224705661.33136786655743.668632133443
225301423.790393293824-122.790393293824
22618031550.04978536101252.950214638991
227799769.06263626917329.9373637308268
228861936.617903007145-75.6179030071454
2291186981.15515039708204.84484960292
23014511159.70827122164291.291728778358
231628585.05478798384142.9452120161594
2321161938.856437505461222.143562494539
23314631354.38356649173108.616433508273
234742734.0486797076477.95132029235271
2359791001.40797465371-22.4079746537138
236675631.74862054743743.2513794525627
23712411305.04687424734-64.0468742473365
238676674.7175068642761.2824931357237
23910491050.53215185944-1.53215185943621
240620672.783585885037-52.783585885037
24110811011.4060039737369.5939960262741
24216881120.17015597757567.829844022434
243736631.108772998168104.891227001832
244617677.557889637191-60.5578896371912
245812861.467028979347-49.4670289793466
24610511101.29727846031-50.2972784603135
24716561341.34294530373314.657054696265
248705785.607485838315-80.6074858383151
2499451004.5371948684-59.5371948684005
250554703.636981282984-149.636981282984
25115971490.84800717956106.151992820442
252982928.79668741296253.203312587038
253222317.163081014344-95.1630810143435
25412121138.2225262570373.7774737429745
25511431275.67757573347-132.677575733471
256435568.401368258812-133.401368258812
257532586.969546485645-54.9695464856454
258882929.900840646623-47.9008406466227
259608584.23184115332123.7681588466794
260459443.88180422026215.1181957797384
261578631.035148839947-53.035148839947
262826702.561956763174123.438043236826
263509491.62561340464617.3743865953535
264717686.38446099177830.6155390082224
265637674.922913951337-37.9229139513373
266857891.565680961176-34.5656809611763
267830813.31406350046816.6859364995317
268652723.351472398501-71.3514723985008
269707823.524349037289-116.524349037289
270954991.807414100299-37.8074141002986
27114611223.28846438525237.711535614746
272672754.358569554112-82.3585695541123
273778814.075162688095-36.0751626880955
27411411062.9270183334178.0729816665894
275680638.10099943696341.8990005630369
2761090977.223833136406112.776166863594
277616563.25593486759552.7440651324046
278285336.522707514346-51.5227075143459
27911451044.06847131025100.931528689747
280733828.284685694437-95.2846856944373
281888922.663376446277-34.6633764462774
282849923.56439455205-74.5643945520499
28311821225.44075748253-43.4407574825254
284528589.017787131222-61.0177871312222
285642766.91310220823-124.91310220823
286947605.366777220556341.633222779444
287819735.45823110837983.541768891621
288757618.112130298305138.887869701695
289894996.767811976177-102.767811976177

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1418 & 1275.17030155005 & 142.829698449953 \tabularnewline
2 & 869 & 990.465162433002 & -121.465162433002 \tabularnewline
3 & 1530 & 1613.45098799754 & -83.4509879975436 \tabularnewline
4 & 2172 & 2492.84141410295 & -320.841414102952 \tabularnewline
5 & 901 & 919.292545473156 & -18.2925454731556 \tabularnewline
6 & 463 & 569.224141515115 & -106.224141515115 \tabularnewline
7 & 3201 & 3955.05209164681 & -754.052091646809 \tabularnewline
8 & 371 & 460.939160110659 & -89.9391601106594 \tabularnewline
9 & 1192 & 1064.54292859351 & 127.457071406495 \tabularnewline
10 & 1583 & 1753.04678970104 & -170.046789701043 \tabularnewline
11 & 1439 & 1483.99299386592 & -44.9929938659209 \tabularnewline
12 & 1764 & 1893.26947268147 & -129.269472681467 \tabularnewline
13 & 1495 & 1477.29600338858 & 17.7039966114192 \tabularnewline
14 & 1373 & 1478.68274932853 & -105.682749328532 \tabularnewline
15 & 2187 & 2403.99977873308 & -216.999778733084 \tabularnewline
16 & 1491 & 1481.12091756899 & 9.87908243100631 \tabularnewline
17 & 4041 & 3725.38439150687 & 315.615608493132 \tabularnewline
18 & 1706 & 1776.46060365448 & -70.460603654481 \tabularnewline
19 & 2152 & 2312.48990129715 & -160.489901297153 \tabularnewline
20 & 1036 & 1206.13605359404 & -170.136053594037 \tabularnewline
21 & 1882 & 1759.40647568644 & 122.593524313561 \tabularnewline
22 & 1929 & 1834.79232228817 & 94.207677711832 \tabularnewline
23 & 2242 & 2616.83905072114 & -374.839050721135 \tabularnewline
24 & 1220 & 1236.97018384121 & -16.9701838412101 \tabularnewline
25 & 1289 & 1291.83684916887 & -2.83684916886996 \tabularnewline
26 & 2515 & 2516.32598784964 & -1.32598784964185 \tabularnewline
27 & 2147 & 2119.55985143275 & 27.4401485672499 \tabularnewline
28 & 2352 & 2375.76839317593 & -23.768393175934 \tabularnewline
29 & 1638 & 1606.05516017883 & 31.9448398211726 \tabularnewline
30 & 1222 & 1365.84442590248 & -143.844425902476 \tabularnewline
31 & 1812 & 1948.8639432888 & -136.863943288803 \tabularnewline
32 & 1677 & 1852.68060660063 & -175.680606600629 \tabularnewline
33 & 1579 & 1581.55198671112 & -2.55198671112082 \tabularnewline
34 & 1731 & 1888.65112148623 & -157.651121486234 \tabularnewline
35 & 807 & 890.688315363632 & -83.6883153636322 \tabularnewline
36 & 2452 & 2712.40786912437 & -260.407869124366 \tabularnewline
37 & 829 & 813.47000178966 & 15.52999821034 \tabularnewline
38 & 1940 & 2198.39331671182 & -258.393316711825 \tabularnewline
39 & 2662 & 2590.12223013048 & 71.8777698695243 \tabularnewline
40 & 186 & 304.510102800849 & -118.510102800849 \tabularnewline
41 & 1499 & 1477.04452539304 & 21.9554746069553 \tabularnewline
42 & 865 & 849.387810152284 & 15.6121898477159 \tabularnewline
43 & 1793 & 1362.58266231174 & 430.417337688256 \tabularnewline
44 & 2527 & 2510.6178081073 & 16.3821918926959 \tabularnewline
45 & 2747 & 3204.97039300696 & -457.970393006963 \tabularnewline
46 & 1324 & 1540.74346910592 & -216.743469105917 \tabularnewline
47 & 2702 & 2338.11020701637 & 363.889792983632 \tabularnewline
48 & 1383 & 1533.12709254607 & -150.127092546072 \tabularnewline
49 & 1179 & 1083.20441896894 & 95.795581031062 \tabularnewline
50 & 2099 & 2320.20038725519 & -221.200387255189 \tabularnewline
51 & 4308 & 4075.8354608938 & 232.164539106204 \tabularnewline
52 & 918 & 1000.24820255698 & -82.2482025569841 \tabularnewline
53 & 1831 & 1630.07530937545 & 200.924690624552 \tabularnewline
54 & 3373 & 3051.48221666389 & 321.517783336109 \tabularnewline
55 & 1713 & 1984.31183427949 & -271.31183427949 \tabularnewline
56 & 1438 & 1381.64398848282 & 56.3560115171835 \tabularnewline
57 & 496 & 646.60091475892 & -150.60091475892 \tabularnewline
58 & 2253 & 2236.96854442634 & 16.031455573663 \tabularnewline
59 & 744 & 808.100025036046 & -64.1000250360461 \tabularnewline
60 & 1161 & 1252.16746815057 & -91.1674681505659 \tabularnewline
61 & 2352 & 2300.6534409674 & 51.3465590325963 \tabularnewline
62 & 2144 & 1770.77781430089 & 373.222185699111 \tabularnewline
63 & 4691 & 3323.00082311846 & 1367.99917688154 \tabularnewline
64 & 1112 & 1102.964980165 & 9.03501983499921 \tabularnewline
65 & 2694 & 2178.47192220072 & 515.528077799276 \tabularnewline
66 & 1973 & 2294.70208230218 & -321.702082302181 \tabularnewline
67 & 1769 & 1872.29935106361 & -103.299351063612 \tabularnewline
68 & 3148 & 2851.33755261205 & 296.662447387953 \tabularnewline
69 & 2474 & 2462.55351215014 & 11.4464878498565 \tabularnewline
70 & 2084 & 2263.07136264406 & -179.071362644062 \tabularnewline
71 & 1954 & 1966.22706169278 & -12.2270616927832 \tabularnewline
72 & 1226 & 1468.62729751755 & -242.627297517554 \tabularnewline
73 & 1389 & 1236.72153117216 & 152.278468827843 \tabularnewline
74 & 1496 & 1363.69050463024 & 132.309495369758 \tabularnewline
75 & 2269 & 1976.73684744848 & 292.26315255152 \tabularnewline
76 & 1833 & 1901.70655171698 & -68.7065517169766 \tabularnewline
77 & 1268 & 1372.31722307999 & -104.31722307999 \tabularnewline
78 & 1943 & 1851.22259529303 & 91.7774047069661 \tabularnewline
79 & 893 & 1107.78173525241 & -214.781735252411 \tabularnewline
80 & 1762 & 1689.70310702699 & 72.2968929730081 \tabularnewline
81 & 1403 & 1704.70941665078 & -301.709416650775 \tabularnewline
82 & 1425 & 1438.05442296751 & -13.0544229675099 \tabularnewline
83 & 1857 & 2275.26452074368 & -418.264520743681 \tabularnewline
84 & 1840 & 2095.78876671785 & -255.788766717852 \tabularnewline
85 & 1502 & 1390.30134462165 & 111.698655378347 \tabularnewline
86 & 1441 & 1370.55982088445 & 70.4401791155541 \tabularnewline
87 & 1420 & 1549.65448813497 & -129.654488134974 \tabularnewline
88 & 1416 & 1452.91887240255 & -36.9188724025461 \tabularnewline
89 & 2970 & 2759.60050398937 & 210.399496010626 \tabularnewline
90 & 1317 & 1712.45577607647 & -395.455776076468 \tabularnewline
91 & 1644 & 1460.41545057774 & 183.584549422261 \tabularnewline
92 & 870 & 1193.08300269908 & -323.083002699075 \tabularnewline
93 & 1654 & 1838.44055246173 & -184.440552461725 \tabularnewline
94 & 1054 & 1005.8437028304 & 48.1562971695994 \tabularnewline
95 & 937 & 852.960468435699 & 84.0395315643012 \tabularnewline
96 & 3004 & 3004.1760681868 & -0.176068186797978 \tabularnewline
97 & 2008 & 2057.88324692854 & -49.8832469285412 \tabularnewline
98 & 2547 & 2385.2808884218 & 161.719111578198 \tabularnewline
99 & 1885 & 1834.60356274388 & 50.3964372561212 \tabularnewline
100 & 1626 & 1603.57534867381 & 22.424651326192 \tabularnewline
101 & 1468 & 1356.85487984952 & 111.145120150478 \tabularnewline
102 & 2445 & 2393.40252589867 & 51.5974741013295 \tabularnewline
103 & 1964 & 2147.98570729007 & -183.985707290068 \tabularnewline
104 & 1381 & 1427.22579553955 & -46.2257955395509 \tabularnewline
105 & 1369 & 1441.48485030755 & -72.4848503075517 \tabularnewline
106 & 1659 & 1799.87175966966 & -140.871759669663 \tabularnewline
107 & 2888 & 2598.75644331214 & 289.24355668786 \tabularnewline
108 & 1290 & 1060.67165722483 & 229.328342775169 \tabularnewline
109 & 2845 & 2990.57475349387 & -145.574753493872 \tabularnewline
110 & 1982 & 1929.4577476362 & 52.5422523638008 \tabularnewline
111 & 1904 & 1987.06198271729 & -83.0619827172929 \tabularnewline
112 & 1391 & 1365.55307285527 & 25.4469271447339 \tabularnewline
113 & 602 & 688.237686705062 & -86.2376867050618 \tabularnewline
114 & 1743 & 1644.87287587363 & 98.1271241263652 \tabularnewline
115 & 1559 & 1591.16017465195 & -32.1601746519527 \tabularnewline
116 & 2014 & 2366.54655325643 & -352.546553256426 \tabularnewline
117 & 2143 & 2277.26131763568 & -134.261317635682 \tabularnewline
118 & 2146 & 1980.71035582188 & 165.289644178125 \tabularnewline
119 & 874 & 901.571163660134 & -27.5711636601341 \tabularnewline
120 & 1590 & 1371.51857781899 & 218.481422181006 \tabularnewline
121 & 1590 & 1429.48463198819 & 160.51536801181 \tabularnewline
122 & 1210 & 1207.4279479847 & 2.57205201529968 \tabularnewline
123 & 2072 & 1800.01879474794 & 271.981205252058 \tabularnewline
124 & 1281 & 1232.70603984298 & 48.293960157019 \tabularnewline
125 & 1401 & 1460.27427831071 & -59.2742783107058 \tabularnewline
126 & 834 & 784.379876154778 & 49.6201238452222 \tabularnewline
127 & 1105 & 1076.34728778526 & 28.6527122147378 \tabularnewline
128 & 1272 & 997.625166948271 & 274.374833051729 \tabularnewline
129 & 1944 & 1830.04255049917 & 113.957449500834 \tabularnewline
130 & 391 & 503.790501306444 & -112.790501306444 \tabularnewline
131 & 761 & 696.821573173067 & 64.1784268269327 \tabularnewline
132 & 1605 & 1642.22238046474 & -37.2223804647435 \tabularnewline
133 & 530 & 669.411885700784 & -139.411885700784 \tabularnewline
134 & 1988 & 1633.24509222348 & 354.754907776521 \tabularnewline
135 & 1386 & 1442.37153767386 & -56.3715376738636 \tabularnewline
136 & 2395 & 2624.36039851765 & -229.360398517647 \tabularnewline
137 & 387 & 479.222156184527 & -92.2221561845271 \tabularnewline
138 & 1742 & 1951.18694907663 & -209.186949076632 \tabularnewline
139 & 620 & 603.281750749056 & 16.7182492509437 \tabularnewline
140 & 449 & 622.721992943383 & -173.721992943383 \tabularnewline
141 & 800 & 812.746107515159 & -12.7461075151594 \tabularnewline
142 & 1684 & 1404.48227583262 & 279.517724167383 \tabularnewline
143 & 1050 & 1098.54338413578 & -48.5433841357793 \tabularnewline
144 & 2699 & 2572.70213441812 & 126.297865581877 \tabularnewline
145 & 1606 & 1596.59757687387 & 9.40242312613394 \tabularnewline
146 & 1502 & 1222.60025737963 & 279.39974262037 \tabularnewline
147 & 1204 & 1175.88705566548 & 28.112944334516 \tabularnewline
148 & 1138 & 1195.8080555819 & -57.8080555819016 \tabularnewline
149 & 568 & 795.717733064983 & -227.717733064983 \tabularnewline
150 & 1459 & 1498.70956689608 & -39.7095668960842 \tabularnewline
151 & 2158 & 2296.71950073584 & -138.719500735839 \tabularnewline
152 & 1111 & 1319.43650758287 & -208.436507582871 \tabularnewline
153 & 1421 & 1299.42207671464 & 121.577923285357 \tabularnewline
154 & 2833 & 3319.19844818511 & -486.198448185105 \tabularnewline
155 & 1955 & 2029.21768598314 & -74.2176859831382 \tabularnewline
156 & 2922 & 2854.24235711742 & 67.7576428825775 \tabularnewline
157 & 1002 & 1253.69962587625 & -251.699625876251 \tabularnewline
158 & 1060 & 1117.92475972824 & -57.9247597282449 \tabularnewline
159 & 956 & 1057.74146676839 & -101.741466768386 \tabularnewline
160 & 2186 & 2016.95116207856 & 169.048837921442 \tabularnewline
161 & 3604 & 3319.21472921691 & 284.785270783095 \tabularnewline
162 & 1035 & 1074.87757579319 & -39.8775757931886 \tabularnewline
163 & 1417 & 1315.14827338266 & 101.851726617338 \tabularnewline
164 & 3261 & 3561.98279432583 & -300.982794325828 \tabularnewline
165 & 1587 & 1632.85489746427 & -45.8548974642655 \tabularnewline
166 & 1424 & 1480.99570829251 & -56.9957082925124 \tabularnewline
167 & 1701 & 1659.74485906478 & 41.2551409352195 \tabularnewline
168 & 1249 & 1331.30997891885 & -82.309978918853 \tabularnewline
169 & 946 & 828.650811898844 & 117.349188101156 \tabularnewline
170 & 1926 & 1863.44204517611 & 62.5579548238857 \tabularnewline
171 & 3352 & 3447.28424732203 & -95.2842473220336 \tabularnewline
172 & 1641 & 1631.78432417553 & 9.21567582447016 \tabularnewline
173 & 2035 & 1913.70126002452 & 121.298739975483 \tabularnewline
174 & 2312 & 2141.1459188597 & 170.854081140301 \tabularnewline
175 & 1369 & 1417.09609110957 & -48.0960911095707 \tabularnewline
176 & 1577 & 1735.62363680491 & -158.623636804913 \tabularnewline
177 & 2201 & 2279.65590679384 & -78.6559067938358 \tabularnewline
178 & 961 & 971.637684539103 & -10.6376845391025 \tabularnewline
179 & 1900 & 1827.58352727192 & 72.4164727280845 \tabularnewline
180 & 1254 & 1271.74353365573 & -17.7435336557319 \tabularnewline
181 & 1335 & 1170.3768170783 & 164.623182921698 \tabularnewline
182 & 1597 & 1372.75927893078 & 224.240721069219 \tabularnewline
183 & 207 & 344.712372705544 & -137.712372705544 \tabularnewline
184 & 1645 & 1597.55038084814 & 47.4496191518602 \tabularnewline
185 & 2429 & 2275.02654015107 & 153.97345984893 \tabularnewline
186 & 151 & 315.781741031433 & -164.781741031433 \tabularnewline
187 & 474 & 758.150140012222 & -284.150140012222 \tabularnewline
188 & 141 & 314.312653798939 & -173.312653798939 \tabularnewline
189 & 1639 & 1462.66642263845 & 176.333577361553 \tabularnewline
190 & 872 & 852.744359264163 & 19.2556407358372 \tabularnewline
191 & 1318 & 1325.19168693509 & -7.191686935086 \tabularnewline
192 & 1018 & 1305.19396301335 & -287.193963013345 \tabularnewline
193 & 1383 & 1169.18482727986 & 213.815172720138 \tabularnewline
194 & 1314 & 878.747788814302 & 435.252211185698 \tabularnewline
195 & 1335 & 1468.2046935372 & -133.204693537199 \tabularnewline
196 & 1403 & 1279.47005230362 & 123.529947696377 \tabularnewline
197 & 910 & 1090.58940589669 & -180.589405896695 \tabularnewline
198 & 616 & 741.155238597982 & -125.155238597982 \tabularnewline
199 & 1407 & 1477.75928320988 & -70.7592832098791 \tabularnewline
200 & 771 & 804.462245579421 & -33.4622455794213 \tabularnewline
201 & 766 & 707.528975614624 & 58.4710243853761 \tabularnewline
202 & 473 & 539.100716746348 & -66.100716746348 \tabularnewline
203 & 1376 & 1367.05904327715 & 8.94095672285125 \tabularnewline
204 & 1232 & 1135.4357179191 & 96.5642820808992 \tabularnewline
205 & 1521 & 1482.37571493161 & 38.6242850683938 \tabularnewline
206 & 572 & 615.427462191432 & -43.4274621914323 \tabularnewline
207 & 1059 & 866.892768791823 & 192.107231208177 \tabularnewline
208 & 1544 & 1671.24978788216 & -127.249787882161 \tabularnewline
209 & 1230 & 1231.31618286699 & -1.31618286698858 \tabularnewline
210 & 1206 & 1290.08651394483 & -84.0865139448277 \tabularnewline
211 & 1205 & 1091.41262275017 & 113.587377249833 \tabularnewline
212 & 1255 & 1041.52216993383 & 213.47783006617 \tabularnewline
213 & 613 & 643.801086426025 & -30.8010864260253 \tabularnewline
214 & 721 & 804.929520463249 & -83.9295204632489 \tabularnewline
215 & 1109 & 1075.16482535195 & 33.83517464805 \tabularnewline
216 & 740 & 706.46969158537 & 33.5303084146297 \tabularnewline
217 & 1126 & 1088.52117429886 & 37.4788257011417 \tabularnewline
218 & 728 & 724.121936333181 & 3.87806366681855 \tabularnewline
219 & 689 & 768.228121187732 & -79.2281211877319 \tabularnewline
220 & 592 & 705.210802716416 & -113.210802716416 \tabularnewline
221 & 995 & 1001.41057566933 & -6.41057566933291 \tabularnewline
222 & 1613 & 1125.39747800644 & 487.602521993557 \tabularnewline
223 & 2048 & 1645.56816264073 & 402.43183735927 \tabularnewline
224 & 705 & 661.331367866557 & 43.668632133443 \tabularnewline
225 & 301 & 423.790393293824 & -122.790393293824 \tabularnewline
226 & 1803 & 1550.04978536101 & 252.950214638991 \tabularnewline
227 & 799 & 769.062636269173 & 29.9373637308268 \tabularnewline
228 & 861 & 936.617903007145 & -75.6179030071454 \tabularnewline
229 & 1186 & 981.15515039708 & 204.84484960292 \tabularnewline
230 & 1451 & 1159.70827122164 & 291.291728778358 \tabularnewline
231 & 628 & 585.054787983841 & 42.9452120161594 \tabularnewline
232 & 1161 & 938.856437505461 & 222.143562494539 \tabularnewline
233 & 1463 & 1354.38356649173 & 108.616433508273 \tabularnewline
234 & 742 & 734.048679707647 & 7.95132029235271 \tabularnewline
235 & 979 & 1001.40797465371 & -22.4079746537138 \tabularnewline
236 & 675 & 631.748620547437 & 43.2513794525627 \tabularnewline
237 & 1241 & 1305.04687424734 & -64.0468742473365 \tabularnewline
238 & 676 & 674.717506864276 & 1.2824931357237 \tabularnewline
239 & 1049 & 1050.53215185944 & -1.53215185943621 \tabularnewline
240 & 620 & 672.783585885037 & -52.783585885037 \tabularnewline
241 & 1081 & 1011.40600397373 & 69.5939960262741 \tabularnewline
242 & 1688 & 1120.17015597757 & 567.829844022434 \tabularnewline
243 & 736 & 631.108772998168 & 104.891227001832 \tabularnewline
244 & 617 & 677.557889637191 & -60.5578896371912 \tabularnewline
245 & 812 & 861.467028979347 & -49.4670289793466 \tabularnewline
246 & 1051 & 1101.29727846031 & -50.2972784603135 \tabularnewline
247 & 1656 & 1341.34294530373 & 314.657054696265 \tabularnewline
248 & 705 & 785.607485838315 & -80.6074858383151 \tabularnewline
249 & 945 & 1004.5371948684 & -59.5371948684005 \tabularnewline
250 & 554 & 703.636981282984 & -149.636981282984 \tabularnewline
251 & 1597 & 1490.84800717956 & 106.151992820442 \tabularnewline
252 & 982 & 928.796687412962 & 53.203312587038 \tabularnewline
253 & 222 & 317.163081014344 & -95.1630810143435 \tabularnewline
254 & 1212 & 1138.22252625703 & 73.7774737429745 \tabularnewline
255 & 1143 & 1275.67757573347 & -132.677575733471 \tabularnewline
256 & 435 & 568.401368258812 & -133.401368258812 \tabularnewline
257 & 532 & 586.969546485645 & -54.9695464856454 \tabularnewline
258 & 882 & 929.900840646623 & -47.9008406466227 \tabularnewline
259 & 608 & 584.231841153321 & 23.7681588466794 \tabularnewline
260 & 459 & 443.881804220262 & 15.1181957797384 \tabularnewline
261 & 578 & 631.035148839947 & -53.035148839947 \tabularnewline
262 & 826 & 702.561956763174 & 123.438043236826 \tabularnewline
263 & 509 & 491.625613404646 & 17.3743865953535 \tabularnewline
264 & 717 & 686.384460991778 & 30.6155390082224 \tabularnewline
265 & 637 & 674.922913951337 & -37.9229139513373 \tabularnewline
266 & 857 & 891.565680961176 & -34.5656809611763 \tabularnewline
267 & 830 & 813.314063500468 & 16.6859364995317 \tabularnewline
268 & 652 & 723.351472398501 & -71.3514723985008 \tabularnewline
269 & 707 & 823.524349037289 & -116.524349037289 \tabularnewline
270 & 954 & 991.807414100299 & -37.8074141002986 \tabularnewline
271 & 1461 & 1223.28846438525 & 237.711535614746 \tabularnewline
272 & 672 & 754.358569554112 & -82.3585695541123 \tabularnewline
273 & 778 & 814.075162688095 & -36.0751626880955 \tabularnewline
274 & 1141 & 1062.92701833341 & 78.0729816665894 \tabularnewline
275 & 680 & 638.100999436963 & 41.8990005630369 \tabularnewline
276 & 1090 & 977.223833136406 & 112.776166863594 \tabularnewline
277 & 616 & 563.255934867595 & 52.7440651324046 \tabularnewline
278 & 285 & 336.522707514346 & -51.5227075143459 \tabularnewline
279 & 1145 & 1044.06847131025 & 100.931528689747 \tabularnewline
280 & 733 & 828.284685694437 & -95.2846856944373 \tabularnewline
281 & 888 & 922.663376446277 & -34.6633764462774 \tabularnewline
282 & 849 & 923.56439455205 & -74.5643945520499 \tabularnewline
283 & 1182 & 1225.44075748253 & -43.4407574825254 \tabularnewline
284 & 528 & 589.017787131222 & -61.0177871312222 \tabularnewline
285 & 642 & 766.91310220823 & -124.91310220823 \tabularnewline
286 & 947 & 605.366777220556 & 341.633222779444 \tabularnewline
287 & 819 & 735.458231108379 & 83.541768891621 \tabularnewline
288 & 757 & 618.112130298305 & 138.887869701695 \tabularnewline
289 & 894 & 996.767811976177 & -102.767811976177 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155234&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]1418[/C][C]1275.17030155005[/C][C]142.829698449953[/C][/ROW]
[ROW][C]2[/C][C]869[/C][C]990.465162433002[/C][C]-121.465162433002[/C][/ROW]
[ROW][C]3[/C][C]1530[/C][C]1613.45098799754[/C][C]-83.4509879975436[/C][/ROW]
[ROW][C]4[/C][C]2172[/C][C]2492.84141410295[/C][C]-320.841414102952[/C][/ROW]
[ROW][C]5[/C][C]901[/C][C]919.292545473156[/C][C]-18.2925454731556[/C][/ROW]
[ROW][C]6[/C][C]463[/C][C]569.224141515115[/C][C]-106.224141515115[/C][/ROW]
[ROW][C]7[/C][C]3201[/C][C]3955.05209164681[/C][C]-754.052091646809[/C][/ROW]
[ROW][C]8[/C][C]371[/C][C]460.939160110659[/C][C]-89.9391601106594[/C][/ROW]
[ROW][C]9[/C][C]1192[/C][C]1064.54292859351[/C][C]127.457071406495[/C][/ROW]
[ROW][C]10[/C][C]1583[/C][C]1753.04678970104[/C][C]-170.046789701043[/C][/ROW]
[ROW][C]11[/C][C]1439[/C][C]1483.99299386592[/C][C]-44.9929938659209[/C][/ROW]
[ROW][C]12[/C][C]1764[/C][C]1893.26947268147[/C][C]-129.269472681467[/C][/ROW]
[ROW][C]13[/C][C]1495[/C][C]1477.29600338858[/C][C]17.7039966114192[/C][/ROW]
[ROW][C]14[/C][C]1373[/C][C]1478.68274932853[/C][C]-105.682749328532[/C][/ROW]
[ROW][C]15[/C][C]2187[/C][C]2403.99977873308[/C][C]-216.999778733084[/C][/ROW]
[ROW][C]16[/C][C]1491[/C][C]1481.12091756899[/C][C]9.87908243100631[/C][/ROW]
[ROW][C]17[/C][C]4041[/C][C]3725.38439150687[/C][C]315.615608493132[/C][/ROW]
[ROW][C]18[/C][C]1706[/C][C]1776.46060365448[/C][C]-70.460603654481[/C][/ROW]
[ROW][C]19[/C][C]2152[/C][C]2312.48990129715[/C][C]-160.489901297153[/C][/ROW]
[ROW][C]20[/C][C]1036[/C][C]1206.13605359404[/C][C]-170.136053594037[/C][/ROW]
[ROW][C]21[/C][C]1882[/C][C]1759.40647568644[/C][C]122.593524313561[/C][/ROW]
[ROW][C]22[/C][C]1929[/C][C]1834.79232228817[/C][C]94.207677711832[/C][/ROW]
[ROW][C]23[/C][C]2242[/C][C]2616.83905072114[/C][C]-374.839050721135[/C][/ROW]
[ROW][C]24[/C][C]1220[/C][C]1236.97018384121[/C][C]-16.9701838412101[/C][/ROW]
[ROW][C]25[/C][C]1289[/C][C]1291.83684916887[/C][C]-2.83684916886996[/C][/ROW]
[ROW][C]26[/C][C]2515[/C][C]2516.32598784964[/C][C]-1.32598784964185[/C][/ROW]
[ROW][C]27[/C][C]2147[/C][C]2119.55985143275[/C][C]27.4401485672499[/C][/ROW]
[ROW][C]28[/C][C]2352[/C][C]2375.76839317593[/C][C]-23.768393175934[/C][/ROW]
[ROW][C]29[/C][C]1638[/C][C]1606.05516017883[/C][C]31.9448398211726[/C][/ROW]
[ROW][C]30[/C][C]1222[/C][C]1365.84442590248[/C][C]-143.844425902476[/C][/ROW]
[ROW][C]31[/C][C]1812[/C][C]1948.8639432888[/C][C]-136.863943288803[/C][/ROW]
[ROW][C]32[/C][C]1677[/C][C]1852.68060660063[/C][C]-175.680606600629[/C][/ROW]
[ROW][C]33[/C][C]1579[/C][C]1581.55198671112[/C][C]-2.55198671112082[/C][/ROW]
[ROW][C]34[/C][C]1731[/C][C]1888.65112148623[/C][C]-157.651121486234[/C][/ROW]
[ROW][C]35[/C][C]807[/C][C]890.688315363632[/C][C]-83.6883153636322[/C][/ROW]
[ROW][C]36[/C][C]2452[/C][C]2712.40786912437[/C][C]-260.407869124366[/C][/ROW]
[ROW][C]37[/C][C]829[/C][C]813.47000178966[/C][C]15.52999821034[/C][/ROW]
[ROW][C]38[/C][C]1940[/C][C]2198.39331671182[/C][C]-258.393316711825[/C][/ROW]
[ROW][C]39[/C][C]2662[/C][C]2590.12223013048[/C][C]71.8777698695243[/C][/ROW]
[ROW][C]40[/C][C]186[/C][C]304.510102800849[/C][C]-118.510102800849[/C][/ROW]
[ROW][C]41[/C][C]1499[/C][C]1477.04452539304[/C][C]21.9554746069553[/C][/ROW]
[ROW][C]42[/C][C]865[/C][C]849.387810152284[/C][C]15.6121898477159[/C][/ROW]
[ROW][C]43[/C][C]1793[/C][C]1362.58266231174[/C][C]430.417337688256[/C][/ROW]
[ROW][C]44[/C][C]2527[/C][C]2510.6178081073[/C][C]16.3821918926959[/C][/ROW]
[ROW][C]45[/C][C]2747[/C][C]3204.97039300696[/C][C]-457.970393006963[/C][/ROW]
[ROW][C]46[/C][C]1324[/C][C]1540.74346910592[/C][C]-216.743469105917[/C][/ROW]
[ROW][C]47[/C][C]2702[/C][C]2338.11020701637[/C][C]363.889792983632[/C][/ROW]
[ROW][C]48[/C][C]1383[/C][C]1533.12709254607[/C][C]-150.127092546072[/C][/ROW]
[ROW][C]49[/C][C]1179[/C][C]1083.20441896894[/C][C]95.795581031062[/C][/ROW]
[ROW][C]50[/C][C]2099[/C][C]2320.20038725519[/C][C]-221.200387255189[/C][/ROW]
[ROW][C]51[/C][C]4308[/C][C]4075.8354608938[/C][C]232.164539106204[/C][/ROW]
[ROW][C]52[/C][C]918[/C][C]1000.24820255698[/C][C]-82.2482025569841[/C][/ROW]
[ROW][C]53[/C][C]1831[/C][C]1630.07530937545[/C][C]200.924690624552[/C][/ROW]
[ROW][C]54[/C][C]3373[/C][C]3051.48221666389[/C][C]321.517783336109[/C][/ROW]
[ROW][C]55[/C][C]1713[/C][C]1984.31183427949[/C][C]-271.31183427949[/C][/ROW]
[ROW][C]56[/C][C]1438[/C][C]1381.64398848282[/C][C]56.3560115171835[/C][/ROW]
[ROW][C]57[/C][C]496[/C][C]646.60091475892[/C][C]-150.60091475892[/C][/ROW]
[ROW][C]58[/C][C]2253[/C][C]2236.96854442634[/C][C]16.031455573663[/C][/ROW]
[ROW][C]59[/C][C]744[/C][C]808.100025036046[/C][C]-64.1000250360461[/C][/ROW]
[ROW][C]60[/C][C]1161[/C][C]1252.16746815057[/C][C]-91.1674681505659[/C][/ROW]
[ROW][C]61[/C][C]2352[/C][C]2300.6534409674[/C][C]51.3465590325963[/C][/ROW]
[ROW][C]62[/C][C]2144[/C][C]1770.77781430089[/C][C]373.222185699111[/C][/ROW]
[ROW][C]63[/C][C]4691[/C][C]3323.00082311846[/C][C]1367.99917688154[/C][/ROW]
[ROW][C]64[/C][C]1112[/C][C]1102.964980165[/C][C]9.03501983499921[/C][/ROW]
[ROW][C]65[/C][C]2694[/C][C]2178.47192220072[/C][C]515.528077799276[/C][/ROW]
[ROW][C]66[/C][C]1973[/C][C]2294.70208230218[/C][C]-321.702082302181[/C][/ROW]
[ROW][C]67[/C][C]1769[/C][C]1872.29935106361[/C][C]-103.299351063612[/C][/ROW]
[ROW][C]68[/C][C]3148[/C][C]2851.33755261205[/C][C]296.662447387953[/C][/ROW]
[ROW][C]69[/C][C]2474[/C][C]2462.55351215014[/C][C]11.4464878498565[/C][/ROW]
[ROW][C]70[/C][C]2084[/C][C]2263.07136264406[/C][C]-179.071362644062[/C][/ROW]
[ROW][C]71[/C][C]1954[/C][C]1966.22706169278[/C][C]-12.2270616927832[/C][/ROW]
[ROW][C]72[/C][C]1226[/C][C]1468.62729751755[/C][C]-242.627297517554[/C][/ROW]
[ROW][C]73[/C][C]1389[/C][C]1236.72153117216[/C][C]152.278468827843[/C][/ROW]
[ROW][C]74[/C][C]1496[/C][C]1363.69050463024[/C][C]132.309495369758[/C][/ROW]
[ROW][C]75[/C][C]2269[/C][C]1976.73684744848[/C][C]292.26315255152[/C][/ROW]
[ROW][C]76[/C][C]1833[/C][C]1901.70655171698[/C][C]-68.7065517169766[/C][/ROW]
[ROW][C]77[/C][C]1268[/C][C]1372.31722307999[/C][C]-104.31722307999[/C][/ROW]
[ROW][C]78[/C][C]1943[/C][C]1851.22259529303[/C][C]91.7774047069661[/C][/ROW]
[ROW][C]79[/C][C]893[/C][C]1107.78173525241[/C][C]-214.781735252411[/C][/ROW]
[ROW][C]80[/C][C]1762[/C][C]1689.70310702699[/C][C]72.2968929730081[/C][/ROW]
[ROW][C]81[/C][C]1403[/C][C]1704.70941665078[/C][C]-301.709416650775[/C][/ROW]
[ROW][C]82[/C][C]1425[/C][C]1438.05442296751[/C][C]-13.0544229675099[/C][/ROW]
[ROW][C]83[/C][C]1857[/C][C]2275.26452074368[/C][C]-418.264520743681[/C][/ROW]
[ROW][C]84[/C][C]1840[/C][C]2095.78876671785[/C][C]-255.788766717852[/C][/ROW]
[ROW][C]85[/C][C]1502[/C][C]1390.30134462165[/C][C]111.698655378347[/C][/ROW]
[ROW][C]86[/C][C]1441[/C][C]1370.55982088445[/C][C]70.4401791155541[/C][/ROW]
[ROW][C]87[/C][C]1420[/C][C]1549.65448813497[/C][C]-129.654488134974[/C][/ROW]
[ROW][C]88[/C][C]1416[/C][C]1452.91887240255[/C][C]-36.9188724025461[/C][/ROW]
[ROW][C]89[/C][C]2970[/C][C]2759.60050398937[/C][C]210.399496010626[/C][/ROW]
[ROW][C]90[/C][C]1317[/C][C]1712.45577607647[/C][C]-395.455776076468[/C][/ROW]
[ROW][C]91[/C][C]1644[/C][C]1460.41545057774[/C][C]183.584549422261[/C][/ROW]
[ROW][C]92[/C][C]870[/C][C]1193.08300269908[/C][C]-323.083002699075[/C][/ROW]
[ROW][C]93[/C][C]1654[/C][C]1838.44055246173[/C][C]-184.440552461725[/C][/ROW]
[ROW][C]94[/C][C]1054[/C][C]1005.8437028304[/C][C]48.1562971695994[/C][/ROW]
[ROW][C]95[/C][C]937[/C][C]852.960468435699[/C][C]84.0395315643012[/C][/ROW]
[ROW][C]96[/C][C]3004[/C][C]3004.1760681868[/C][C]-0.176068186797978[/C][/ROW]
[ROW][C]97[/C][C]2008[/C][C]2057.88324692854[/C][C]-49.8832469285412[/C][/ROW]
[ROW][C]98[/C][C]2547[/C][C]2385.2808884218[/C][C]161.719111578198[/C][/ROW]
[ROW][C]99[/C][C]1885[/C][C]1834.60356274388[/C][C]50.3964372561212[/C][/ROW]
[ROW][C]100[/C][C]1626[/C][C]1603.57534867381[/C][C]22.424651326192[/C][/ROW]
[ROW][C]101[/C][C]1468[/C][C]1356.85487984952[/C][C]111.145120150478[/C][/ROW]
[ROW][C]102[/C][C]2445[/C][C]2393.40252589867[/C][C]51.5974741013295[/C][/ROW]
[ROW][C]103[/C][C]1964[/C][C]2147.98570729007[/C][C]-183.985707290068[/C][/ROW]
[ROW][C]104[/C][C]1381[/C][C]1427.22579553955[/C][C]-46.2257955395509[/C][/ROW]
[ROW][C]105[/C][C]1369[/C][C]1441.48485030755[/C][C]-72.4848503075517[/C][/ROW]
[ROW][C]106[/C][C]1659[/C][C]1799.87175966966[/C][C]-140.871759669663[/C][/ROW]
[ROW][C]107[/C][C]2888[/C][C]2598.75644331214[/C][C]289.24355668786[/C][/ROW]
[ROW][C]108[/C][C]1290[/C][C]1060.67165722483[/C][C]229.328342775169[/C][/ROW]
[ROW][C]109[/C][C]2845[/C][C]2990.57475349387[/C][C]-145.574753493872[/C][/ROW]
[ROW][C]110[/C][C]1982[/C][C]1929.4577476362[/C][C]52.5422523638008[/C][/ROW]
[ROW][C]111[/C][C]1904[/C][C]1987.06198271729[/C][C]-83.0619827172929[/C][/ROW]
[ROW][C]112[/C][C]1391[/C][C]1365.55307285527[/C][C]25.4469271447339[/C][/ROW]
[ROW][C]113[/C][C]602[/C][C]688.237686705062[/C][C]-86.2376867050618[/C][/ROW]
[ROW][C]114[/C][C]1743[/C][C]1644.87287587363[/C][C]98.1271241263652[/C][/ROW]
[ROW][C]115[/C][C]1559[/C][C]1591.16017465195[/C][C]-32.1601746519527[/C][/ROW]
[ROW][C]116[/C][C]2014[/C][C]2366.54655325643[/C][C]-352.546553256426[/C][/ROW]
[ROW][C]117[/C][C]2143[/C][C]2277.26131763568[/C][C]-134.261317635682[/C][/ROW]
[ROW][C]118[/C][C]2146[/C][C]1980.71035582188[/C][C]165.289644178125[/C][/ROW]
[ROW][C]119[/C][C]874[/C][C]901.571163660134[/C][C]-27.5711636601341[/C][/ROW]
[ROW][C]120[/C][C]1590[/C][C]1371.51857781899[/C][C]218.481422181006[/C][/ROW]
[ROW][C]121[/C][C]1590[/C][C]1429.48463198819[/C][C]160.51536801181[/C][/ROW]
[ROW][C]122[/C][C]1210[/C][C]1207.4279479847[/C][C]2.57205201529968[/C][/ROW]
[ROW][C]123[/C][C]2072[/C][C]1800.01879474794[/C][C]271.981205252058[/C][/ROW]
[ROW][C]124[/C][C]1281[/C][C]1232.70603984298[/C][C]48.293960157019[/C][/ROW]
[ROW][C]125[/C][C]1401[/C][C]1460.27427831071[/C][C]-59.2742783107058[/C][/ROW]
[ROW][C]126[/C][C]834[/C][C]784.379876154778[/C][C]49.6201238452222[/C][/ROW]
[ROW][C]127[/C][C]1105[/C][C]1076.34728778526[/C][C]28.6527122147378[/C][/ROW]
[ROW][C]128[/C][C]1272[/C][C]997.625166948271[/C][C]274.374833051729[/C][/ROW]
[ROW][C]129[/C][C]1944[/C][C]1830.04255049917[/C][C]113.957449500834[/C][/ROW]
[ROW][C]130[/C][C]391[/C][C]503.790501306444[/C][C]-112.790501306444[/C][/ROW]
[ROW][C]131[/C][C]761[/C][C]696.821573173067[/C][C]64.1784268269327[/C][/ROW]
[ROW][C]132[/C][C]1605[/C][C]1642.22238046474[/C][C]-37.2223804647435[/C][/ROW]
[ROW][C]133[/C][C]530[/C][C]669.411885700784[/C][C]-139.411885700784[/C][/ROW]
[ROW][C]134[/C][C]1988[/C][C]1633.24509222348[/C][C]354.754907776521[/C][/ROW]
[ROW][C]135[/C][C]1386[/C][C]1442.37153767386[/C][C]-56.3715376738636[/C][/ROW]
[ROW][C]136[/C][C]2395[/C][C]2624.36039851765[/C][C]-229.360398517647[/C][/ROW]
[ROW][C]137[/C][C]387[/C][C]479.222156184527[/C][C]-92.2221561845271[/C][/ROW]
[ROW][C]138[/C][C]1742[/C][C]1951.18694907663[/C][C]-209.186949076632[/C][/ROW]
[ROW][C]139[/C][C]620[/C][C]603.281750749056[/C][C]16.7182492509437[/C][/ROW]
[ROW][C]140[/C][C]449[/C][C]622.721992943383[/C][C]-173.721992943383[/C][/ROW]
[ROW][C]141[/C][C]800[/C][C]812.746107515159[/C][C]-12.7461075151594[/C][/ROW]
[ROW][C]142[/C][C]1684[/C][C]1404.48227583262[/C][C]279.517724167383[/C][/ROW]
[ROW][C]143[/C][C]1050[/C][C]1098.54338413578[/C][C]-48.5433841357793[/C][/ROW]
[ROW][C]144[/C][C]2699[/C][C]2572.70213441812[/C][C]126.297865581877[/C][/ROW]
[ROW][C]145[/C][C]1606[/C][C]1596.59757687387[/C][C]9.40242312613394[/C][/ROW]
[ROW][C]146[/C][C]1502[/C][C]1222.60025737963[/C][C]279.39974262037[/C][/ROW]
[ROW][C]147[/C][C]1204[/C][C]1175.88705566548[/C][C]28.112944334516[/C][/ROW]
[ROW][C]148[/C][C]1138[/C][C]1195.8080555819[/C][C]-57.8080555819016[/C][/ROW]
[ROW][C]149[/C][C]568[/C][C]795.717733064983[/C][C]-227.717733064983[/C][/ROW]
[ROW][C]150[/C][C]1459[/C][C]1498.70956689608[/C][C]-39.7095668960842[/C][/ROW]
[ROW][C]151[/C][C]2158[/C][C]2296.71950073584[/C][C]-138.719500735839[/C][/ROW]
[ROW][C]152[/C][C]1111[/C][C]1319.43650758287[/C][C]-208.436507582871[/C][/ROW]
[ROW][C]153[/C][C]1421[/C][C]1299.42207671464[/C][C]121.577923285357[/C][/ROW]
[ROW][C]154[/C][C]2833[/C][C]3319.19844818511[/C][C]-486.198448185105[/C][/ROW]
[ROW][C]155[/C][C]1955[/C][C]2029.21768598314[/C][C]-74.2176859831382[/C][/ROW]
[ROW][C]156[/C][C]2922[/C][C]2854.24235711742[/C][C]67.7576428825775[/C][/ROW]
[ROW][C]157[/C][C]1002[/C][C]1253.69962587625[/C][C]-251.699625876251[/C][/ROW]
[ROW][C]158[/C][C]1060[/C][C]1117.92475972824[/C][C]-57.9247597282449[/C][/ROW]
[ROW][C]159[/C][C]956[/C][C]1057.74146676839[/C][C]-101.741466768386[/C][/ROW]
[ROW][C]160[/C][C]2186[/C][C]2016.95116207856[/C][C]169.048837921442[/C][/ROW]
[ROW][C]161[/C][C]3604[/C][C]3319.21472921691[/C][C]284.785270783095[/C][/ROW]
[ROW][C]162[/C][C]1035[/C][C]1074.87757579319[/C][C]-39.8775757931886[/C][/ROW]
[ROW][C]163[/C][C]1417[/C][C]1315.14827338266[/C][C]101.851726617338[/C][/ROW]
[ROW][C]164[/C][C]3261[/C][C]3561.98279432583[/C][C]-300.982794325828[/C][/ROW]
[ROW][C]165[/C][C]1587[/C][C]1632.85489746427[/C][C]-45.8548974642655[/C][/ROW]
[ROW][C]166[/C][C]1424[/C][C]1480.99570829251[/C][C]-56.9957082925124[/C][/ROW]
[ROW][C]167[/C][C]1701[/C][C]1659.74485906478[/C][C]41.2551409352195[/C][/ROW]
[ROW][C]168[/C][C]1249[/C][C]1331.30997891885[/C][C]-82.309978918853[/C][/ROW]
[ROW][C]169[/C][C]946[/C][C]828.650811898844[/C][C]117.349188101156[/C][/ROW]
[ROW][C]170[/C][C]1926[/C][C]1863.44204517611[/C][C]62.5579548238857[/C][/ROW]
[ROW][C]171[/C][C]3352[/C][C]3447.28424732203[/C][C]-95.2842473220336[/C][/ROW]
[ROW][C]172[/C][C]1641[/C][C]1631.78432417553[/C][C]9.21567582447016[/C][/ROW]
[ROW][C]173[/C][C]2035[/C][C]1913.70126002452[/C][C]121.298739975483[/C][/ROW]
[ROW][C]174[/C][C]2312[/C][C]2141.1459188597[/C][C]170.854081140301[/C][/ROW]
[ROW][C]175[/C][C]1369[/C][C]1417.09609110957[/C][C]-48.0960911095707[/C][/ROW]
[ROW][C]176[/C][C]1577[/C][C]1735.62363680491[/C][C]-158.623636804913[/C][/ROW]
[ROW][C]177[/C][C]2201[/C][C]2279.65590679384[/C][C]-78.6559067938358[/C][/ROW]
[ROW][C]178[/C][C]961[/C][C]971.637684539103[/C][C]-10.6376845391025[/C][/ROW]
[ROW][C]179[/C][C]1900[/C][C]1827.58352727192[/C][C]72.4164727280845[/C][/ROW]
[ROW][C]180[/C][C]1254[/C][C]1271.74353365573[/C][C]-17.7435336557319[/C][/ROW]
[ROW][C]181[/C][C]1335[/C][C]1170.3768170783[/C][C]164.623182921698[/C][/ROW]
[ROW][C]182[/C][C]1597[/C][C]1372.75927893078[/C][C]224.240721069219[/C][/ROW]
[ROW][C]183[/C][C]207[/C][C]344.712372705544[/C][C]-137.712372705544[/C][/ROW]
[ROW][C]184[/C][C]1645[/C][C]1597.55038084814[/C][C]47.4496191518602[/C][/ROW]
[ROW][C]185[/C][C]2429[/C][C]2275.02654015107[/C][C]153.97345984893[/C][/ROW]
[ROW][C]186[/C][C]151[/C][C]315.781741031433[/C][C]-164.781741031433[/C][/ROW]
[ROW][C]187[/C][C]474[/C][C]758.150140012222[/C][C]-284.150140012222[/C][/ROW]
[ROW][C]188[/C][C]141[/C][C]314.312653798939[/C][C]-173.312653798939[/C][/ROW]
[ROW][C]189[/C][C]1639[/C][C]1462.66642263845[/C][C]176.333577361553[/C][/ROW]
[ROW][C]190[/C][C]872[/C][C]852.744359264163[/C][C]19.2556407358372[/C][/ROW]
[ROW][C]191[/C][C]1318[/C][C]1325.19168693509[/C][C]-7.191686935086[/C][/ROW]
[ROW][C]192[/C][C]1018[/C][C]1305.19396301335[/C][C]-287.193963013345[/C][/ROW]
[ROW][C]193[/C][C]1383[/C][C]1169.18482727986[/C][C]213.815172720138[/C][/ROW]
[ROW][C]194[/C][C]1314[/C][C]878.747788814302[/C][C]435.252211185698[/C][/ROW]
[ROW][C]195[/C][C]1335[/C][C]1468.2046935372[/C][C]-133.204693537199[/C][/ROW]
[ROW][C]196[/C][C]1403[/C][C]1279.47005230362[/C][C]123.529947696377[/C][/ROW]
[ROW][C]197[/C][C]910[/C][C]1090.58940589669[/C][C]-180.589405896695[/C][/ROW]
[ROW][C]198[/C][C]616[/C][C]741.155238597982[/C][C]-125.155238597982[/C][/ROW]
[ROW][C]199[/C][C]1407[/C][C]1477.75928320988[/C][C]-70.7592832098791[/C][/ROW]
[ROW][C]200[/C][C]771[/C][C]804.462245579421[/C][C]-33.4622455794213[/C][/ROW]
[ROW][C]201[/C][C]766[/C][C]707.528975614624[/C][C]58.4710243853761[/C][/ROW]
[ROW][C]202[/C][C]473[/C][C]539.100716746348[/C][C]-66.100716746348[/C][/ROW]
[ROW][C]203[/C][C]1376[/C][C]1367.05904327715[/C][C]8.94095672285125[/C][/ROW]
[ROW][C]204[/C][C]1232[/C][C]1135.4357179191[/C][C]96.5642820808992[/C][/ROW]
[ROW][C]205[/C][C]1521[/C][C]1482.37571493161[/C][C]38.6242850683938[/C][/ROW]
[ROW][C]206[/C][C]572[/C][C]615.427462191432[/C][C]-43.4274621914323[/C][/ROW]
[ROW][C]207[/C][C]1059[/C][C]866.892768791823[/C][C]192.107231208177[/C][/ROW]
[ROW][C]208[/C][C]1544[/C][C]1671.24978788216[/C][C]-127.249787882161[/C][/ROW]
[ROW][C]209[/C][C]1230[/C][C]1231.31618286699[/C][C]-1.31618286698858[/C][/ROW]
[ROW][C]210[/C][C]1206[/C][C]1290.08651394483[/C][C]-84.0865139448277[/C][/ROW]
[ROW][C]211[/C][C]1205[/C][C]1091.41262275017[/C][C]113.587377249833[/C][/ROW]
[ROW][C]212[/C][C]1255[/C][C]1041.52216993383[/C][C]213.47783006617[/C][/ROW]
[ROW][C]213[/C][C]613[/C][C]643.801086426025[/C][C]-30.8010864260253[/C][/ROW]
[ROW][C]214[/C][C]721[/C][C]804.929520463249[/C][C]-83.9295204632489[/C][/ROW]
[ROW][C]215[/C][C]1109[/C][C]1075.16482535195[/C][C]33.83517464805[/C][/ROW]
[ROW][C]216[/C][C]740[/C][C]706.46969158537[/C][C]33.5303084146297[/C][/ROW]
[ROW][C]217[/C][C]1126[/C][C]1088.52117429886[/C][C]37.4788257011417[/C][/ROW]
[ROW][C]218[/C][C]728[/C][C]724.121936333181[/C][C]3.87806366681855[/C][/ROW]
[ROW][C]219[/C][C]689[/C][C]768.228121187732[/C][C]-79.2281211877319[/C][/ROW]
[ROW][C]220[/C][C]592[/C][C]705.210802716416[/C][C]-113.210802716416[/C][/ROW]
[ROW][C]221[/C][C]995[/C][C]1001.41057566933[/C][C]-6.41057566933291[/C][/ROW]
[ROW][C]222[/C][C]1613[/C][C]1125.39747800644[/C][C]487.602521993557[/C][/ROW]
[ROW][C]223[/C][C]2048[/C][C]1645.56816264073[/C][C]402.43183735927[/C][/ROW]
[ROW][C]224[/C][C]705[/C][C]661.331367866557[/C][C]43.668632133443[/C][/ROW]
[ROW][C]225[/C][C]301[/C][C]423.790393293824[/C][C]-122.790393293824[/C][/ROW]
[ROW][C]226[/C][C]1803[/C][C]1550.04978536101[/C][C]252.950214638991[/C][/ROW]
[ROW][C]227[/C][C]799[/C][C]769.062636269173[/C][C]29.9373637308268[/C][/ROW]
[ROW][C]228[/C][C]861[/C][C]936.617903007145[/C][C]-75.6179030071454[/C][/ROW]
[ROW][C]229[/C][C]1186[/C][C]981.15515039708[/C][C]204.84484960292[/C][/ROW]
[ROW][C]230[/C][C]1451[/C][C]1159.70827122164[/C][C]291.291728778358[/C][/ROW]
[ROW][C]231[/C][C]628[/C][C]585.054787983841[/C][C]42.9452120161594[/C][/ROW]
[ROW][C]232[/C][C]1161[/C][C]938.856437505461[/C][C]222.143562494539[/C][/ROW]
[ROW][C]233[/C][C]1463[/C][C]1354.38356649173[/C][C]108.616433508273[/C][/ROW]
[ROW][C]234[/C][C]742[/C][C]734.048679707647[/C][C]7.95132029235271[/C][/ROW]
[ROW][C]235[/C][C]979[/C][C]1001.40797465371[/C][C]-22.4079746537138[/C][/ROW]
[ROW][C]236[/C][C]675[/C][C]631.748620547437[/C][C]43.2513794525627[/C][/ROW]
[ROW][C]237[/C][C]1241[/C][C]1305.04687424734[/C][C]-64.0468742473365[/C][/ROW]
[ROW][C]238[/C][C]676[/C][C]674.717506864276[/C][C]1.2824931357237[/C][/ROW]
[ROW][C]239[/C][C]1049[/C][C]1050.53215185944[/C][C]-1.53215185943621[/C][/ROW]
[ROW][C]240[/C][C]620[/C][C]672.783585885037[/C][C]-52.783585885037[/C][/ROW]
[ROW][C]241[/C][C]1081[/C][C]1011.40600397373[/C][C]69.5939960262741[/C][/ROW]
[ROW][C]242[/C][C]1688[/C][C]1120.17015597757[/C][C]567.829844022434[/C][/ROW]
[ROW][C]243[/C][C]736[/C][C]631.108772998168[/C][C]104.891227001832[/C][/ROW]
[ROW][C]244[/C][C]617[/C][C]677.557889637191[/C][C]-60.5578896371912[/C][/ROW]
[ROW][C]245[/C][C]812[/C][C]861.467028979347[/C][C]-49.4670289793466[/C][/ROW]
[ROW][C]246[/C][C]1051[/C][C]1101.29727846031[/C][C]-50.2972784603135[/C][/ROW]
[ROW][C]247[/C][C]1656[/C][C]1341.34294530373[/C][C]314.657054696265[/C][/ROW]
[ROW][C]248[/C][C]705[/C][C]785.607485838315[/C][C]-80.6074858383151[/C][/ROW]
[ROW][C]249[/C][C]945[/C][C]1004.5371948684[/C][C]-59.5371948684005[/C][/ROW]
[ROW][C]250[/C][C]554[/C][C]703.636981282984[/C][C]-149.636981282984[/C][/ROW]
[ROW][C]251[/C][C]1597[/C][C]1490.84800717956[/C][C]106.151992820442[/C][/ROW]
[ROW][C]252[/C][C]982[/C][C]928.796687412962[/C][C]53.203312587038[/C][/ROW]
[ROW][C]253[/C][C]222[/C][C]317.163081014344[/C][C]-95.1630810143435[/C][/ROW]
[ROW][C]254[/C][C]1212[/C][C]1138.22252625703[/C][C]73.7774737429745[/C][/ROW]
[ROW][C]255[/C][C]1143[/C][C]1275.67757573347[/C][C]-132.677575733471[/C][/ROW]
[ROW][C]256[/C][C]435[/C][C]568.401368258812[/C][C]-133.401368258812[/C][/ROW]
[ROW][C]257[/C][C]532[/C][C]586.969546485645[/C][C]-54.9695464856454[/C][/ROW]
[ROW][C]258[/C][C]882[/C][C]929.900840646623[/C][C]-47.9008406466227[/C][/ROW]
[ROW][C]259[/C][C]608[/C][C]584.231841153321[/C][C]23.7681588466794[/C][/ROW]
[ROW][C]260[/C][C]459[/C][C]443.881804220262[/C][C]15.1181957797384[/C][/ROW]
[ROW][C]261[/C][C]578[/C][C]631.035148839947[/C][C]-53.035148839947[/C][/ROW]
[ROW][C]262[/C][C]826[/C][C]702.561956763174[/C][C]123.438043236826[/C][/ROW]
[ROW][C]263[/C][C]509[/C][C]491.625613404646[/C][C]17.3743865953535[/C][/ROW]
[ROW][C]264[/C][C]717[/C][C]686.384460991778[/C][C]30.6155390082224[/C][/ROW]
[ROW][C]265[/C][C]637[/C][C]674.922913951337[/C][C]-37.9229139513373[/C][/ROW]
[ROW][C]266[/C][C]857[/C][C]891.565680961176[/C][C]-34.5656809611763[/C][/ROW]
[ROW][C]267[/C][C]830[/C][C]813.314063500468[/C][C]16.6859364995317[/C][/ROW]
[ROW][C]268[/C][C]652[/C][C]723.351472398501[/C][C]-71.3514723985008[/C][/ROW]
[ROW][C]269[/C][C]707[/C][C]823.524349037289[/C][C]-116.524349037289[/C][/ROW]
[ROW][C]270[/C][C]954[/C][C]991.807414100299[/C][C]-37.8074141002986[/C][/ROW]
[ROW][C]271[/C][C]1461[/C][C]1223.28846438525[/C][C]237.711535614746[/C][/ROW]
[ROW][C]272[/C][C]672[/C][C]754.358569554112[/C][C]-82.3585695541123[/C][/ROW]
[ROW][C]273[/C][C]778[/C][C]814.075162688095[/C][C]-36.0751626880955[/C][/ROW]
[ROW][C]274[/C][C]1141[/C][C]1062.92701833341[/C][C]78.0729816665894[/C][/ROW]
[ROW][C]275[/C][C]680[/C][C]638.100999436963[/C][C]41.8990005630369[/C][/ROW]
[ROW][C]276[/C][C]1090[/C][C]977.223833136406[/C][C]112.776166863594[/C][/ROW]
[ROW][C]277[/C][C]616[/C][C]563.255934867595[/C][C]52.7440651324046[/C][/ROW]
[ROW][C]278[/C][C]285[/C][C]336.522707514346[/C][C]-51.5227075143459[/C][/ROW]
[ROW][C]279[/C][C]1145[/C][C]1044.06847131025[/C][C]100.931528689747[/C][/ROW]
[ROW][C]280[/C][C]733[/C][C]828.284685694437[/C][C]-95.2846856944373[/C][/ROW]
[ROW][C]281[/C][C]888[/C][C]922.663376446277[/C][C]-34.6633764462774[/C][/ROW]
[ROW][C]282[/C][C]849[/C][C]923.56439455205[/C][C]-74.5643945520499[/C][/ROW]
[ROW][C]283[/C][C]1182[/C][C]1225.44075748253[/C][C]-43.4407574825254[/C][/ROW]
[ROW][C]284[/C][C]528[/C][C]589.017787131222[/C][C]-61.0177871312222[/C][/ROW]
[ROW][C]285[/C][C]642[/C][C]766.91310220823[/C][C]-124.91310220823[/C][/ROW]
[ROW][C]286[/C][C]947[/C][C]605.366777220556[/C][C]341.633222779444[/C][/ROW]
[ROW][C]287[/C][C]819[/C][C]735.458231108379[/C][C]83.541768891621[/C][/ROW]
[ROW][C]288[/C][C]757[/C][C]618.112130298305[/C][C]138.887869701695[/C][/ROW]
[ROW][C]289[/C][C]894[/C][C]996.767811976177[/C][C]-102.767811976177[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155234&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155234&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
114181275.17030155005142.829698449953
2869990.465162433002-121.465162433002
315301613.45098799754-83.4509879975436
421722492.84141410295-320.841414102952
5901919.292545473156-18.2925454731556
6463569.224141515115-106.224141515115
732013955.05209164681-754.052091646809
8371460.939160110659-89.9391601106594
911921064.54292859351127.457071406495
1015831753.04678970104-170.046789701043
1114391483.99299386592-44.9929938659209
1217641893.26947268147-129.269472681467
1314951477.2960033885817.7039966114192
1413731478.68274932853-105.682749328532
1521872403.99977873308-216.999778733084
1614911481.120917568999.87908243100631
1740413725.38439150687315.615608493132
1817061776.46060365448-70.460603654481
1921522312.48990129715-160.489901297153
2010361206.13605359404-170.136053594037
2118821759.40647568644122.593524313561
2219291834.7923222881794.207677711832
2322422616.83905072114-374.839050721135
2412201236.97018384121-16.9701838412101
2512891291.83684916887-2.83684916886996
2625152516.32598784964-1.32598784964185
2721472119.5598514327527.4401485672499
2823522375.76839317593-23.768393175934
2916381606.0551601788331.9448398211726
3012221365.84442590248-143.844425902476
3118121948.8639432888-136.863943288803
3216771852.68060660063-175.680606600629
3315791581.55198671112-2.55198671112082
3417311888.65112148623-157.651121486234
35807890.688315363632-83.6883153636322
3624522712.40786912437-260.407869124366
37829813.4700017896615.52999821034
3819402198.39331671182-258.393316711825
3926622590.1222301304871.8777698695243
40186304.510102800849-118.510102800849
4114991477.0445253930421.9554746069553
42865849.38781015228415.6121898477159
4317931362.58266231174430.417337688256
4425272510.617808107316.3821918926959
4527473204.97039300696-457.970393006963
4613241540.74346910592-216.743469105917
4727022338.11020701637363.889792983632
4813831533.12709254607-150.127092546072
4911791083.2044189689495.795581031062
5020992320.20038725519-221.200387255189
5143084075.8354608938232.164539106204
529181000.24820255698-82.2482025569841
5318311630.07530937545200.924690624552
5433733051.48221666389321.517783336109
5517131984.31183427949-271.31183427949
5614381381.6439884828256.3560115171835
57496646.60091475892-150.60091475892
5822532236.9685444263416.031455573663
59744808.100025036046-64.1000250360461
6011611252.16746815057-91.1674681505659
6123522300.653440967451.3465590325963
6221441770.77781430089373.222185699111
6346913323.000823118461367.99917688154
6411121102.9649801659.03501983499921
6526942178.47192220072515.528077799276
6619732294.70208230218-321.702082302181
6717691872.29935106361-103.299351063612
6831482851.33755261205296.662447387953
6924742462.5535121501411.4464878498565
7020842263.07136264406-179.071362644062
7119541966.22706169278-12.2270616927832
7212261468.62729751755-242.627297517554
7313891236.72153117216152.278468827843
7414961363.69050463024132.309495369758
7522691976.73684744848292.26315255152
7618331901.70655171698-68.7065517169766
7712681372.31722307999-104.31722307999
7819431851.2225952930391.7774047069661
798931107.78173525241-214.781735252411
8017621689.7031070269972.2968929730081
8114031704.70941665078-301.709416650775
8214251438.05442296751-13.0544229675099
8318572275.26452074368-418.264520743681
8418402095.78876671785-255.788766717852
8515021390.30134462165111.698655378347
8614411370.5598208844570.4401791155541
8714201549.65448813497-129.654488134974
8814161452.91887240255-36.9188724025461
8929702759.60050398937210.399496010626
9013171712.45577607647-395.455776076468
9116441460.41545057774183.584549422261
928701193.08300269908-323.083002699075
9316541838.44055246173-184.440552461725
9410541005.843702830448.1562971695994
95937852.96046843569984.0395315643012
9630043004.1760681868-0.176068186797978
9720082057.88324692854-49.8832469285412
9825472385.2808884218161.719111578198
9918851834.6035627438850.3964372561212
10016261603.5753486738122.424651326192
10114681356.85487984952111.145120150478
10224452393.4025258986751.5974741013295
10319642147.98570729007-183.985707290068
10413811427.22579553955-46.2257955395509
10513691441.48485030755-72.4848503075517
10616591799.87175966966-140.871759669663
10728882598.75644331214289.24355668786
10812901060.67165722483229.328342775169
10928452990.57475349387-145.574753493872
11019821929.457747636252.5422523638008
11119041987.06198271729-83.0619827172929
11213911365.5530728552725.4469271447339
113602688.237686705062-86.2376867050618
11417431644.8728758736398.1271241263652
11515591591.16017465195-32.1601746519527
11620142366.54655325643-352.546553256426
11721432277.26131763568-134.261317635682
11821461980.71035582188165.289644178125
119874901.571163660134-27.5711636601341
12015901371.51857781899218.481422181006
12115901429.48463198819160.51536801181
12212101207.42794798472.57205201529968
12320721800.01879474794271.981205252058
12412811232.7060398429848.293960157019
12514011460.27427831071-59.2742783107058
126834784.37987615477849.6201238452222
12711051076.3472877852628.6527122147378
1281272997.625166948271274.374833051729
12919441830.04255049917113.957449500834
130391503.790501306444-112.790501306444
131761696.82157317306764.1784268269327
13216051642.22238046474-37.2223804647435
133530669.411885700784-139.411885700784
13419881633.24509222348354.754907776521
13513861442.37153767386-56.3715376738636
13623952624.36039851765-229.360398517647
137387479.222156184527-92.2221561845271
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140449622.721992943383-173.721992943383
141800812.746107515159-12.7461075151594
14216841404.48227583262279.517724167383
14310501098.54338413578-48.5433841357793
14426992572.70213441812126.297865581877
14516061596.597576873879.40242312613394
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14811381195.8080555819-57.8080555819016
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15014591498.70956689608-39.7095668960842
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15428333319.19844818511-486.198448185105
15519552029.21768598314-74.2176859831382
15629222854.2423571174267.7576428825775
15710021253.69962587625-251.699625876251
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16314171315.14827338266101.851726617338
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16614241480.99570829251-56.9957082925124
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169946828.650811898844117.349188101156
17019261863.4420451761162.5579548238857
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178961971.637684539103-10.6376845391025
17919001827.5835272719272.4164727280845
18012541271.74353365573-17.7435336557319
18113351170.3768170783164.623182921698
18215971372.75927893078224.240721069219
183207344.712372705544-137.712372705544
18416451597.5503808481447.4496191518602
18524292275.02654015107153.97345984893
186151315.781741031433-164.781741031433
187474758.150140012222-284.150140012222
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19113181325.19168693509-7.191686935086
19210181305.19396301335-287.193963013345
19313831169.18482727986213.815172720138
1941314878.747788814302435.252211185698
19513351468.2046935372-133.204693537199
19614031279.47005230362123.529947696377
1979101090.58940589669-180.589405896695
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19914071477.75928320988-70.7592832098791
200771804.462245579421-33.4622455794213
201766707.52897561462458.4710243853761
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2071059866.892768791823192.107231208177
20815441671.24978788216-127.249787882161
20912301231.31618286699-1.31618286698858
21012061290.08651394483-84.0865139448277
21112051091.41262275017113.587377249833
21212551041.52216993383213.47783006617
213613643.801086426025-30.8010864260253
214721804.929520463249-83.9295204632489
21511091075.1648253519533.83517464805
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21711261088.5211742988637.4788257011417
218728724.1219363331813.87806366681855
219689768.228121187732-79.2281211877319
220592705.210802716416-113.210802716416
2219951001.41057566933-6.41057566933291
22216131125.39747800644487.602521993557
22320481645.56816264073402.43183735927
224705661.33136786655743.668632133443
225301423.790393293824-122.790393293824
22618031550.04978536101252.950214638991
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228861936.617903007145-75.6179030071454
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23014511159.70827122164291.291728778358
231628585.05478798384142.9452120161594
2321161938.856437505461222.143562494539
23314631354.38356649173108.616433508273
234742734.0486797076477.95132029235271
2359791001.40797465371-22.4079746537138
236675631.74862054743743.2513794525627
23712411305.04687424734-64.0468742473365
238676674.7175068642761.2824931357237
23910491050.53215185944-1.53215185943621
240620672.783585885037-52.783585885037
24110811011.4060039737369.5939960262741
24216881120.17015597757567.829844022434
243736631.108772998168104.891227001832
244617677.557889637191-60.5578896371912
245812861.467028979347-49.4670289793466
24610511101.29727846031-50.2972784603135
24716561341.34294530373314.657054696265
248705785.607485838315-80.6074858383151
2499451004.5371948684-59.5371948684005
250554703.636981282984-149.636981282984
25115971490.84800717956106.151992820442
252982928.79668741296253.203312587038
253222317.163081014344-95.1630810143435
25412121138.2225262570373.7774737429745
25511431275.67757573347-132.677575733471
256435568.401368258812-133.401368258812
257532586.969546485645-54.9695464856454
258882929.900840646623-47.9008406466227
259608584.23184115332123.7681588466794
260459443.88180422026215.1181957797384
261578631.035148839947-53.035148839947
262826702.561956763174123.438043236826
263509491.62561340464617.3743865953535
264717686.38446099177830.6155390082224
265637674.922913951337-37.9229139513373
266857891.565680961176-34.5656809611763
267830813.31406350046816.6859364995317
268652723.351472398501-71.3514723985008
269707823.524349037289-116.524349037289
270954991.807414100299-37.8074141002986
27114611223.28846438525237.711535614746
272672754.358569554112-82.3585695541123
273778814.075162688095-36.0751626880955
27411411062.9270183334178.0729816665894
275680638.10099943696341.8990005630369
2761090977.223833136406112.776166863594
277616563.25593486759552.7440651324046
278285336.522707514346-51.5227075143459
27911451044.06847131025100.931528689747
280733828.284685694437-95.2846856944373
281888922.663376446277-34.6633764462774
282849923.56439455205-74.5643945520499
28311821225.44075748253-43.4407574825254
284528589.017787131222-61.0177871312222
285642766.91310220823-124.91310220823
286947605.366777220556341.633222779444
287819735.45823110837983.541768891621
288757618.112130298305138.887869701695
289894996.767811976177-102.767811976177






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.06164409560371380.1232881912074280.938355904396286
120.01930673075958670.03861346151917330.980693269240413
130.1310120767254940.2620241534509890.868987923274506
140.07620493626700320.1524098725340060.923795063732997
150.07196758545372190.1439351709074440.928032414546278
160.03763158072245050.07526316144490110.962368419277549
170.7427719177943720.5144561644112560.257228082205628
180.6628181865026840.6743636269946330.337181813497316
190.5863156995068730.8273686009862550.413684300493127
200.5030970623924910.9938058752150170.496902937607509
210.4697312809346780.9394625618693550.530268719065322
220.3926685669947870.7853371339895750.607331433005213
230.3408698260009280.6817396520018550.659130173999072
240.274790529788980.5495810595779610.725209470211019
250.2383430139895390.4766860279790790.761656986010461
260.1847827035357670.3695654070715340.815217296464233
270.1811536476675870.3623072953351740.818846352332413
280.2065159940238620.4130319880477240.793484005976138
290.1725663029348970.3451326058697930.827433697065103
300.1444966329466190.2889932658932380.855503367053381
310.140004161470310.2800083229406190.859995838529691
320.1315215466649950.2630430933299910.868478453335005
330.1189271201241910.2378542402483820.881072879875809
340.1315599024466110.2631198048932230.868440097553389
350.1166409226795980.2332818453591960.883359077320402
360.09598235848633650.1919647169726730.904017641513664
370.07886304963456820.1577260992691360.921136950365432
380.07458398146734590.1491679629346920.925416018532654
390.1039518199041610.2079036398083210.896048180095839
400.08143446988864320.1628689397772860.918565530111357
410.06722688544686260.1344537708937250.932773114553137
420.05460887114379760.1092177422875950.945391128856202
430.2248965524790720.4497931049581430.775103447520929
440.2128512184335850.425702436867170.787148781566415
450.2898179477826090.5796358955652190.710182052217391
460.297983555323780.595967110647560.70201644467622
470.5540320412008680.8919359175982640.445967958799132
480.5186465473246060.9627069053507870.481353452675394
490.4800295011431430.9600590022862870.519970498856857
500.4565738524526260.9131477049052520.543426147547374
510.7083295042925790.5833409914148430.291670495707421
520.6802989295296560.6394021409406870.319701070470344
530.7114304305917260.5771391388165470.288569569408274
540.8523543080543170.2952913838913670.147645691945683
550.8654355086391750.2691289827216490.134564491360825
560.845348433140150.3093031337196990.15465156685985
570.827456337992160.3450873240156790.17254366200784
580.8069498355192340.3861003289615320.193050164480766
590.7776119435426110.4447761129147790.222388056457389
600.7465657024898840.5068685950202320.253434297510116
610.7289206300433770.5421587399132460.271079369956623
620.8064444402404940.3871111195190120.193555559759506
630.9999996676281956.64743610213841e-073.32371805106921e-07
640.9999994614785051.07704298962011e-065.38521494810056e-07
650.9999999883495252.3300950826744e-081.1650475413372e-08
660.9999999977510014.49799844499386e-092.24899922249693e-09
670.9999999964559877.08802667781693e-093.54401333890847e-09
680.9999999981267013.74659834700793e-091.87329917350397e-09
690.9999999975657454.86850943044746e-092.43425471522373e-09
700.9999999970227515.95449792525448e-092.97724896262724e-09
710.9999999948333751.03332508835668e-085.16662544178338e-09
720.9999999962354897.5290225123626e-093.7645112561813e-09
730.9999999954930959.01381065580378e-094.50690532790189e-09
740.999999993620031.27599396470054e-086.3799698235027e-09
750.9999999969735256.05294966375912e-093.02647483187956e-09
760.9999999949717991.00564027944554e-085.02820139722769e-09
770.9999999922111161.55777673117878e-087.78888365589392e-09
780.9999999892939532.1412093536388e-081.0706046768194e-08
790.999999989327112.13457807070846e-081.06728903535423e-08
800.9999999838728983.22542046118564e-081.61271023059282e-08
810.9999999913431811.73136375048131e-088.65681875240653e-09
820.9999999862030322.75939367825196e-081.37969683912598e-08
830.9999999975078514.98429734249981e-092.49214867124991e-09
840.9999999983499393.3001214486616e-091.6500607243308e-09
850.9999999977463134.50737316145116e-092.25368658072558e-09
860.9999999966675386.66492319210478e-093.33246159605239e-09
870.9999999956049388.79012383540951e-094.39506191770475e-09
880.9999999927420311.45159371121947e-087.25796855609733e-09
890.9999999934144711.31710584199874e-086.58552920999371e-09
900.9999999987192912.56141879624474e-091.28070939812237e-09
910.9999999986354442.72911211135959e-091.3645560556798e-09
920.9999999993274471.34510510976844e-096.72552554884222e-10
930.9999999993756861.24862793934581e-096.24313969672905e-10
940.9999999989803012.03939798447905e-091.01969899223952e-09
950.9999999985900742.8198526454669e-091.40992632273345e-09
960.9999999976035074.79298597327587e-092.39649298663794e-09
970.9999999963427857.31443019042037e-093.65721509521019e-09
980.9999999954550729.08985649152663e-094.54492824576332e-09
990.9999999930857481.38285041868804e-086.91425209344019e-09
1000.9999999896924882.06150234556892e-081.03075117278446e-08
1010.9999999860318792.79362421193696e-081.39681210596848e-08
1020.9999999793738954.1252209879837e-082.06261049399185e-08
1030.9999999794253964.11492087055991e-082.05746043527996e-08
1040.9999999670815216.58369583653998e-083.29184791826999e-08
1050.9999999503268729.93462556294061e-084.9673127814703e-08
1060.9999999352469721.29506056005135e-076.47530280025677e-08
1070.9999999563139088.73721837048519e-084.3686091852426e-08
1080.9999999678428486.43143042737911e-083.21571521368955e-08
1090.999999959792028.04159599391793e-084.02079799695896e-08
1100.9999999369040991.26191801017848e-076.30959005089239e-08
1110.999999906944121.86111760271764e-079.3055880135882e-08
1120.9999998543154822.91369035741136e-071.45684517870568e-07
1130.9999997970313124.05937375419567e-072.02968687709784e-07
1140.9999997378088195.24382361147321e-072.62191180573661e-07
1150.9999996440770487.11845903834372e-073.55922951917186e-07
1160.9999998950152722.09969456693128e-071.04984728346564e-07
1170.9999998685623162.62875367637041e-071.31437683818521e-07
1180.9999998707702432.5845951451815e-071.29229757259075e-07
1190.9999997997051574.00589686972363e-072.00294843486181e-07
1200.9999998411222263.17755547821338e-071.58877773910669e-07
1210.9999998255825493.48834902963113e-071.74417451481557e-07
1220.9999997330760935.33847813042943e-072.66923906521472e-07
1230.9999998358320893.28335822142774e-071.64167911071387e-07
1240.9999997530418084.93916384967697e-072.46958192483849e-07
1250.9999996292056797.41588641997927e-073.70794320998963e-07
1260.9999994561227271.08775454601926e-065.43877273009629e-07
1270.9999991805012791.63899744161327e-068.19498720806636e-07
1280.9999995093680849.81263832378745e-074.90631916189372e-07
1290.9999993488155671.30236886687558e-066.5118443343779e-07
1300.9999991105564061.77888718730132e-068.89443593650661e-07
1310.999998721651212.55669757989553e-061.27834878994777e-06
1320.999998210335963.57932808025449e-061.78966404012724e-06
1330.9999977671402544.4657194921956e-062.2328597460978e-06
1340.9999991552296051.68954079051236e-068.44770395256181e-07
1350.9999994352626081.12947478405205e-065.64737392026024e-07
1360.9999996830980426.33803916849816e-073.16901958424908e-07
1370.9999995507884528.98423095992376e-074.49211547996188e-07
1380.9999995726564828.54687036138613e-074.27343518069306e-07
1390.9999993428209481.31435810314801e-066.57179051574004e-07
1400.9999993600481891.27990362145669e-066.39951810728345e-07
1410.9999990257207671.94855846589227e-069.74279232946137e-07
1420.9999993679782721.26404345651018e-066.32021728255088e-07
1430.9999990613876911.87722461780497e-069.38612308902487e-07
1440.9999989129385862.17412282872928e-061.08706141436464e-06
1450.9999983508700113.29825997884579e-061.6491299894229e-06
1460.9999990490170751.90196584995813e-069.50982924979067e-07
1470.9999985463466972.90730660517188e-061.45365330258594e-06
1480.9999979797846654.04043067012884e-062.02021533506442e-06
1490.999998449481943.10103611953663e-061.55051805976831e-06
1500.999997723555714.55288858050372e-062.27644429025186e-06
1510.9999978660641974.26787160582085e-062.13393580291043e-06
1520.9999976702559654.65948806958707e-062.32974403479353e-06
1530.9999971602071785.67958564452289e-062.83979282226145e-06
1540.9999997762074674.4758506582877e-072.23792532914385e-07
1550.9999997046487175.90702566418977e-072.95351283209489e-07
1560.9999995482658619.03468278419711e-074.51734139209856e-07
1570.9999997994623824.0107523677563e-072.00537618387815e-07
1580.9999997188451045.6230979128125e-072.81154895640625e-07
1590.9999996597512196.80497562813725e-073.40248781406863e-07
1600.9999996191216037.6175679447975e-073.80878397239875e-07
1610.9999996878184856.24363029470995e-073.12181514735498e-07
1620.9999995187403879.62519225607163e-074.81259612803582e-07
1630.9999994346399141.13072017151138e-065.65360085755689e-07
1640.9999999173422871.65315425474033e-078.26577127370165e-08
1650.9999999030333881.93933224750908e-079.69666123754542e-08
1660.9999999045383861.90923226993436e-079.54616134967179e-08
1670.9999998801394582.39721083946262e-071.19860541973131e-07
1680.999999813504823.7299035943814e-071.8649517971907e-07
1690.9999997498165075.00366986491698e-072.50183493245849e-07
1700.999999689648066.20703879946556e-073.10351939973278e-07
1710.9999998300914733.39817053414505e-071.69908526707252e-07
1720.9999998513502772.97299445560683e-071.48649722780342e-07
1730.9999997882548054.23490390532712e-072.11745195266356e-07
1740.9999997026209875.94758026806232e-072.97379013403116e-07
1750.999999744384875.11230260101501e-072.55615130050751e-07
1760.9999998424727213.15054557110719e-071.57527278555359e-07
1770.9999999621454157.57091691891891e-083.78545845945945e-08
1780.9999999384116551.23176690579091e-076.15883452895454e-08
1790.9999999537772649.24454723376498e-084.62227361688249e-08
1800.9999999239727021.52054596061325e-077.60272980306627e-08
1810.9999999099262171.80147566693786e-079.00737833468929e-08
1820.9999998978727062.0425458814924e-071.0212729407462e-07
1830.999999844186533.11626940378379e-071.5581347018919e-07
1840.9999998794321622.41135676658832e-071.20567838329416e-07
1850.9999999707666025.8466795650629e-082.92333978253145e-08
1860.9999999540258759.19482494034564e-084.59741247017282e-08
1870.9999999749613535.00772930992523e-082.50386465496261e-08
1880.9999999612641187.74717646622199e-083.87358823311099e-08
1890.999999944042431.1191514029486e-075.59575701474302e-08
1900.9999999154728251.69054350999607e-078.45271754998033e-08
1910.9999998686126862.62774628883544e-071.31387314441772e-07
1920.9999998523004372.95399125549704e-071.47699562774852e-07
1930.9999998457187663.08562468482042e-071.54281234241021e-07
1940.9999999889115982.21768037528626e-081.10884018764313e-08
1950.9999999833192963.33614077239586e-081.66807038619793e-08
1960.9999999724355345.51289323463837e-082.75644661731918e-08
1970.9999999657092276.85815455315515e-083.42907727657758e-08
1980.9999999579370918.41258177004017e-084.20629088502009e-08
1990.9999999702783525.94432969454693e-082.97216484727346e-08
2000.9999999712864415.74271171279632e-082.87135585639816e-08
2010.9999999504515549.90968924559342e-084.95484462279671e-08
2020.9999999273105281.45378944081242e-077.26894720406209e-08
2030.9999998732954332.53409134400101e-071.2670456720005e-07
2040.9999998015918823.96816235171028e-071.98408117585514e-07
2050.9999997100881335.79823734009846e-072.89911867004923e-07
2060.9999995166779859.66644029984927e-074.83322014992463e-07
2070.9999995364156889.27168623894448e-074.63584311947224e-07
2080.9999997553892744.89221451224803e-072.44610725612401e-07
2090.999999680396456.39207099221534e-073.19603549610767e-07
2100.9999997631352954.73729409410908e-072.36864704705454e-07
2110.9999996648696926.70260615844261e-073.35130307922131e-07
2120.9999995853424628.29315075390173e-074.14657537695086e-07
2130.9999992906067261.41878654848318e-067.09393274241591e-07
2140.9999990323710661.93525786775665e-069.67628933878323e-07
2150.9999984151024963.16979500890366e-061.58489750445183e-06
2160.9999973199170165.36016596713757e-062.68008298356878e-06
2170.9999956471148888.70577022378398e-064.35288511189199e-06
2180.9999927395193071.452096138686e-057.26048069343e-06
2190.999988146486942.37070261191048e-051.18535130595524e-05
2200.9999836573248683.26853502645407e-051.63426751322703e-05
2210.9999747762618735.04474762541338e-052.52237381270669e-05
2220.9999971867871385.62642572429643e-062.81321286214821e-06
2230.999998304090883.39181824067861e-061.69590912033931e-06
2240.9999970353414095.92931718262808e-062.96465859131404e-06
2250.999995621188988.7576220393352e-064.3788110196676e-06
2260.9999949217024571.01565950861691e-055.07829754308456e-06
2270.9999913626531041.72746937913489e-058.63734689567445e-06
2280.9999911736044741.76527910520665e-058.82639552603326e-06
2290.9999909502548191.80994903627112e-059.04974518135558e-06
2300.9999961187274757.76254505089098e-063.88127252544549e-06
2310.9999946760903341.06478193322059e-055.32390966610297e-06
2320.9999964755473497.04890530236962e-063.52445265118481e-06
2330.9999946243930361.07512139276697e-055.37560696383483e-06
2340.999990541999531.89160009392301e-059.45800046961506e-06
2350.9999867246792152.65506415698459e-051.32753207849229e-05
2360.9999770872094964.58255810081011e-052.29127905040506e-05
2370.9999739425472585.211490548433e-052.6057452742165e-05
2380.999955447797048.91044059198404e-054.45522029599202e-05
2390.9999236459461670.0001527081076650877.63540538325433e-05
2400.9998887283694850.0002225432610305950.000111271630515298
2410.999817472443330.0003650551133408660.000182527556670433
2420.9999962017047017.59659059771353e-063.79829529885677e-06
2430.9999935586449631.28827100732322e-056.44135503661611e-06
2440.999989339508792.13209824208267e-051.06604912104134e-05
2450.9999817130331453.65739337103037e-051.82869668551519e-05
2460.9999747398211955.05203576106088e-052.52601788053044e-05
2470.9999966554813376.68903732558451e-063.34451866279225e-06
2480.9999946986363621.06027272759127e-055.30136363795634e-06
2490.9999892184282412.15631435177383e-051.07815717588692e-05
2500.9999838431660243.23136679526965e-051.61568339763482e-05
2510.9999757746165154.8450766969276e-052.4225383484638e-05
2520.9999519293752379.61412495254572e-054.80706247627286e-05
2530.9999112500840980.0001774998318036788.87499159018391e-05
2540.9998639072784470.0002721854431065380.000136092721553269
2550.9998364212833280.0003271574333442850.000163578716672143
2560.9997569381946680.0004861236106637350.000243061805331867
2570.9996022298300880.00079554033982320.0003977701699116
2580.9992659439401220.001468112119755890.000734056059877945
2590.9986455343563540.002708931287292920.00135446564364646
2600.9975787400714950.004842519857009540.00242125992850477
2610.9968015459412060.006396908117587440.00319845405879372
2620.9957655024537390.008468995092522570.00423449754626128
2630.9927607830697220.01447843386055670.00723921693027837
2640.9875203534142580.02495929317148440.0124796465857422
2650.9819961384990120.03600772300197560.0180038615009878
2660.970274500652430.05945099869513950.0297254993475698
2670.9567304612966240.08653907740675170.0432695387033759
2680.9493865380255170.1012269239489670.0506134619744834
2690.9240505516416830.1518988967166350.0759494483583173
2700.9401371260539750.119725747892050.0598628739460252
2710.9828461913615420.03430761727691660.0171538086384583
2720.9786344927166250.04273101456674970.0213655072833749
2730.9668996677161220.06620066456775560.0331003322838778
2740.9641993111441610.07160137771167890.0358006888558394
2750.9534693887890770.09306122242184590.046530611210923
2760.9170257799475570.1659484401048860.0829742200524432
2770.8727805605446420.2544388789107160.127219439455358
2780.7932310282821740.4135379434356520.206768971717826

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.0616440956037138 & 0.123288191207428 & 0.938355904396286 \tabularnewline
12 & 0.0193067307595867 & 0.0386134615191733 & 0.980693269240413 \tabularnewline
13 & 0.131012076725494 & 0.262024153450989 & 0.868987923274506 \tabularnewline
14 & 0.0762049362670032 & 0.152409872534006 & 0.923795063732997 \tabularnewline
15 & 0.0719675854537219 & 0.143935170907444 & 0.928032414546278 \tabularnewline
16 & 0.0376315807224505 & 0.0752631614449011 & 0.962368419277549 \tabularnewline
17 & 0.742771917794372 & 0.514456164411256 & 0.257228082205628 \tabularnewline
18 & 0.662818186502684 & 0.674363626994633 & 0.337181813497316 \tabularnewline
19 & 0.586315699506873 & 0.827368600986255 & 0.413684300493127 \tabularnewline
20 & 0.503097062392491 & 0.993805875215017 & 0.496902937607509 \tabularnewline
21 & 0.469731280934678 & 0.939462561869355 & 0.530268719065322 \tabularnewline
22 & 0.392668566994787 & 0.785337133989575 & 0.607331433005213 \tabularnewline
23 & 0.340869826000928 & 0.681739652001855 & 0.659130173999072 \tabularnewline
24 & 0.27479052978898 & 0.549581059577961 & 0.725209470211019 \tabularnewline
25 & 0.238343013989539 & 0.476686027979079 & 0.761656986010461 \tabularnewline
26 & 0.184782703535767 & 0.369565407071534 & 0.815217296464233 \tabularnewline
27 & 0.181153647667587 & 0.362307295335174 & 0.818846352332413 \tabularnewline
28 & 0.206515994023862 & 0.413031988047724 & 0.793484005976138 \tabularnewline
29 & 0.172566302934897 & 0.345132605869793 & 0.827433697065103 \tabularnewline
30 & 0.144496632946619 & 0.288993265893238 & 0.855503367053381 \tabularnewline
31 & 0.14000416147031 & 0.280008322940619 & 0.859995838529691 \tabularnewline
32 & 0.131521546664995 & 0.263043093329991 & 0.868478453335005 \tabularnewline
33 & 0.118927120124191 & 0.237854240248382 & 0.881072879875809 \tabularnewline
34 & 0.131559902446611 & 0.263119804893223 & 0.868440097553389 \tabularnewline
35 & 0.116640922679598 & 0.233281845359196 & 0.883359077320402 \tabularnewline
36 & 0.0959823584863365 & 0.191964716972673 & 0.904017641513664 \tabularnewline
37 & 0.0788630496345682 & 0.157726099269136 & 0.921136950365432 \tabularnewline
38 & 0.0745839814673459 & 0.149167962934692 & 0.925416018532654 \tabularnewline
39 & 0.103951819904161 & 0.207903639808321 & 0.896048180095839 \tabularnewline
40 & 0.0814344698886432 & 0.162868939777286 & 0.918565530111357 \tabularnewline
41 & 0.0672268854468626 & 0.134453770893725 & 0.932773114553137 \tabularnewline
42 & 0.0546088711437976 & 0.109217742287595 & 0.945391128856202 \tabularnewline
43 & 0.224896552479072 & 0.449793104958143 & 0.775103447520929 \tabularnewline
44 & 0.212851218433585 & 0.42570243686717 & 0.787148781566415 \tabularnewline
45 & 0.289817947782609 & 0.579635895565219 & 0.710182052217391 \tabularnewline
46 & 0.29798355532378 & 0.59596711064756 & 0.70201644467622 \tabularnewline
47 & 0.554032041200868 & 0.891935917598264 & 0.445967958799132 \tabularnewline
48 & 0.518646547324606 & 0.962706905350787 & 0.481353452675394 \tabularnewline
49 & 0.480029501143143 & 0.960059002286287 & 0.519970498856857 \tabularnewline
50 & 0.456573852452626 & 0.913147704905252 & 0.543426147547374 \tabularnewline
51 & 0.708329504292579 & 0.583340991414843 & 0.291670495707421 \tabularnewline
52 & 0.680298929529656 & 0.639402140940687 & 0.319701070470344 \tabularnewline
53 & 0.711430430591726 & 0.577139138816547 & 0.288569569408274 \tabularnewline
54 & 0.852354308054317 & 0.295291383891367 & 0.147645691945683 \tabularnewline
55 & 0.865435508639175 & 0.269128982721649 & 0.134564491360825 \tabularnewline
56 & 0.84534843314015 & 0.309303133719699 & 0.15465156685985 \tabularnewline
57 & 0.82745633799216 & 0.345087324015679 & 0.17254366200784 \tabularnewline
58 & 0.806949835519234 & 0.386100328961532 & 0.193050164480766 \tabularnewline
59 & 0.777611943542611 & 0.444776112914779 & 0.222388056457389 \tabularnewline
60 & 0.746565702489884 & 0.506868595020232 & 0.253434297510116 \tabularnewline
61 & 0.728920630043377 & 0.542158739913246 & 0.271079369956623 \tabularnewline
62 & 0.806444440240494 & 0.387111119519012 & 0.193555559759506 \tabularnewline
63 & 0.999999667628195 & 6.64743610213841e-07 & 3.32371805106921e-07 \tabularnewline
64 & 0.999999461478505 & 1.07704298962011e-06 & 5.38521494810056e-07 \tabularnewline
65 & 0.999999988349525 & 2.3300950826744e-08 & 1.1650475413372e-08 \tabularnewline
66 & 0.999999997751001 & 4.49799844499386e-09 & 2.24899922249693e-09 \tabularnewline
67 & 0.999999996455987 & 7.08802667781693e-09 & 3.54401333890847e-09 \tabularnewline
68 & 0.999999998126701 & 3.74659834700793e-09 & 1.87329917350397e-09 \tabularnewline
69 & 0.999999997565745 & 4.86850943044746e-09 & 2.43425471522373e-09 \tabularnewline
70 & 0.999999997022751 & 5.95449792525448e-09 & 2.97724896262724e-09 \tabularnewline
71 & 0.999999994833375 & 1.03332508835668e-08 & 5.16662544178338e-09 \tabularnewline
72 & 0.999999996235489 & 7.5290225123626e-09 & 3.7645112561813e-09 \tabularnewline
73 & 0.999999995493095 & 9.01381065580378e-09 & 4.50690532790189e-09 \tabularnewline
74 & 0.99999999362003 & 1.27599396470054e-08 & 6.3799698235027e-09 \tabularnewline
75 & 0.999999996973525 & 6.05294966375912e-09 & 3.02647483187956e-09 \tabularnewline
76 & 0.999999994971799 & 1.00564027944554e-08 & 5.02820139722769e-09 \tabularnewline
77 & 0.999999992211116 & 1.55777673117878e-08 & 7.78888365589392e-09 \tabularnewline
78 & 0.999999989293953 & 2.1412093536388e-08 & 1.0706046768194e-08 \tabularnewline
79 & 0.99999998932711 & 2.13457807070846e-08 & 1.06728903535423e-08 \tabularnewline
80 & 0.999999983872898 & 3.22542046118564e-08 & 1.61271023059282e-08 \tabularnewline
81 & 0.999999991343181 & 1.73136375048131e-08 & 8.65681875240653e-09 \tabularnewline
82 & 0.999999986203032 & 2.75939367825196e-08 & 1.37969683912598e-08 \tabularnewline
83 & 0.999999997507851 & 4.98429734249981e-09 & 2.49214867124991e-09 \tabularnewline
84 & 0.999999998349939 & 3.3001214486616e-09 & 1.6500607243308e-09 \tabularnewline
85 & 0.999999997746313 & 4.50737316145116e-09 & 2.25368658072558e-09 \tabularnewline
86 & 0.999999996667538 & 6.66492319210478e-09 & 3.33246159605239e-09 \tabularnewline
87 & 0.999999995604938 & 8.79012383540951e-09 & 4.39506191770475e-09 \tabularnewline
88 & 0.999999992742031 & 1.45159371121947e-08 & 7.25796855609733e-09 \tabularnewline
89 & 0.999999993414471 & 1.31710584199874e-08 & 6.58552920999371e-09 \tabularnewline
90 & 0.999999998719291 & 2.56141879624474e-09 & 1.28070939812237e-09 \tabularnewline
91 & 0.999999998635444 & 2.72911211135959e-09 & 1.3645560556798e-09 \tabularnewline
92 & 0.999999999327447 & 1.34510510976844e-09 & 6.72552554884222e-10 \tabularnewline
93 & 0.999999999375686 & 1.24862793934581e-09 & 6.24313969672905e-10 \tabularnewline
94 & 0.999999998980301 & 2.03939798447905e-09 & 1.01969899223952e-09 \tabularnewline
95 & 0.999999998590074 & 2.8198526454669e-09 & 1.40992632273345e-09 \tabularnewline
96 & 0.999999997603507 & 4.79298597327587e-09 & 2.39649298663794e-09 \tabularnewline
97 & 0.999999996342785 & 7.31443019042037e-09 & 3.65721509521019e-09 \tabularnewline
98 & 0.999999995455072 & 9.08985649152663e-09 & 4.54492824576332e-09 \tabularnewline
99 & 0.999999993085748 & 1.38285041868804e-08 & 6.91425209344019e-09 \tabularnewline
100 & 0.999999989692488 & 2.06150234556892e-08 & 1.03075117278446e-08 \tabularnewline
101 & 0.999999986031879 & 2.79362421193696e-08 & 1.39681210596848e-08 \tabularnewline
102 & 0.999999979373895 & 4.1252209879837e-08 & 2.06261049399185e-08 \tabularnewline
103 & 0.999999979425396 & 4.11492087055991e-08 & 2.05746043527996e-08 \tabularnewline
104 & 0.999999967081521 & 6.58369583653998e-08 & 3.29184791826999e-08 \tabularnewline
105 & 0.999999950326872 & 9.93462556294061e-08 & 4.9673127814703e-08 \tabularnewline
106 & 0.999999935246972 & 1.29506056005135e-07 & 6.47530280025677e-08 \tabularnewline
107 & 0.999999956313908 & 8.73721837048519e-08 & 4.3686091852426e-08 \tabularnewline
108 & 0.999999967842848 & 6.43143042737911e-08 & 3.21571521368955e-08 \tabularnewline
109 & 0.99999995979202 & 8.04159599391793e-08 & 4.02079799695896e-08 \tabularnewline
110 & 0.999999936904099 & 1.26191801017848e-07 & 6.30959005089239e-08 \tabularnewline
111 & 0.99999990694412 & 1.86111760271764e-07 & 9.3055880135882e-08 \tabularnewline
112 & 0.999999854315482 & 2.91369035741136e-07 & 1.45684517870568e-07 \tabularnewline
113 & 0.999999797031312 & 4.05937375419567e-07 & 2.02968687709784e-07 \tabularnewline
114 & 0.999999737808819 & 5.24382361147321e-07 & 2.62191180573661e-07 \tabularnewline
115 & 0.999999644077048 & 7.11845903834372e-07 & 3.55922951917186e-07 \tabularnewline
116 & 0.999999895015272 & 2.09969456693128e-07 & 1.04984728346564e-07 \tabularnewline
117 & 0.999999868562316 & 2.62875367637041e-07 & 1.31437683818521e-07 \tabularnewline
118 & 0.999999870770243 & 2.5845951451815e-07 & 1.29229757259075e-07 \tabularnewline
119 & 0.999999799705157 & 4.00589686972363e-07 & 2.00294843486181e-07 \tabularnewline
120 & 0.999999841122226 & 3.17755547821338e-07 & 1.58877773910669e-07 \tabularnewline
121 & 0.999999825582549 & 3.48834902963113e-07 & 1.74417451481557e-07 \tabularnewline
122 & 0.999999733076093 & 5.33847813042943e-07 & 2.66923906521472e-07 \tabularnewline
123 & 0.999999835832089 & 3.28335822142774e-07 & 1.64167911071387e-07 \tabularnewline
124 & 0.999999753041808 & 4.93916384967697e-07 & 2.46958192483849e-07 \tabularnewline
125 & 0.999999629205679 & 7.41588641997927e-07 & 3.70794320998963e-07 \tabularnewline
126 & 0.999999456122727 & 1.08775454601926e-06 & 5.43877273009629e-07 \tabularnewline
127 & 0.999999180501279 & 1.63899744161327e-06 & 8.19498720806636e-07 \tabularnewline
128 & 0.999999509368084 & 9.81263832378745e-07 & 4.90631916189372e-07 \tabularnewline
129 & 0.999999348815567 & 1.30236886687558e-06 & 6.5118443343779e-07 \tabularnewline
130 & 0.999999110556406 & 1.77888718730132e-06 & 8.89443593650661e-07 \tabularnewline
131 & 0.99999872165121 & 2.55669757989553e-06 & 1.27834878994777e-06 \tabularnewline
132 & 0.99999821033596 & 3.57932808025449e-06 & 1.78966404012724e-06 \tabularnewline
133 & 0.999997767140254 & 4.4657194921956e-06 & 2.2328597460978e-06 \tabularnewline
134 & 0.999999155229605 & 1.68954079051236e-06 & 8.44770395256181e-07 \tabularnewline
135 & 0.999999435262608 & 1.12947478405205e-06 & 5.64737392026024e-07 \tabularnewline
136 & 0.999999683098042 & 6.33803916849816e-07 & 3.16901958424908e-07 \tabularnewline
137 & 0.999999550788452 & 8.98423095992376e-07 & 4.49211547996188e-07 \tabularnewline
138 & 0.999999572656482 & 8.54687036138613e-07 & 4.27343518069306e-07 \tabularnewline
139 & 0.999999342820948 & 1.31435810314801e-06 & 6.57179051574004e-07 \tabularnewline
140 & 0.999999360048189 & 1.27990362145669e-06 & 6.39951810728345e-07 \tabularnewline
141 & 0.999999025720767 & 1.94855846589227e-06 & 9.74279232946137e-07 \tabularnewline
142 & 0.999999367978272 & 1.26404345651018e-06 & 6.32021728255088e-07 \tabularnewline
143 & 0.999999061387691 & 1.87722461780497e-06 & 9.38612308902487e-07 \tabularnewline
144 & 0.999998912938586 & 2.17412282872928e-06 & 1.08706141436464e-06 \tabularnewline
145 & 0.999998350870011 & 3.29825997884579e-06 & 1.6491299894229e-06 \tabularnewline
146 & 0.999999049017075 & 1.90196584995813e-06 & 9.50982924979067e-07 \tabularnewline
147 & 0.999998546346697 & 2.90730660517188e-06 & 1.45365330258594e-06 \tabularnewline
148 & 0.999997979784665 & 4.04043067012884e-06 & 2.02021533506442e-06 \tabularnewline
149 & 0.99999844948194 & 3.10103611953663e-06 & 1.55051805976831e-06 \tabularnewline
150 & 0.99999772355571 & 4.55288858050372e-06 & 2.27644429025186e-06 \tabularnewline
151 & 0.999997866064197 & 4.26787160582085e-06 & 2.13393580291043e-06 \tabularnewline
152 & 0.999997670255965 & 4.65948806958707e-06 & 2.32974403479353e-06 \tabularnewline
153 & 0.999997160207178 & 5.67958564452289e-06 & 2.83979282226145e-06 \tabularnewline
154 & 0.999999776207467 & 4.4758506582877e-07 & 2.23792532914385e-07 \tabularnewline
155 & 0.999999704648717 & 5.90702566418977e-07 & 2.95351283209489e-07 \tabularnewline
156 & 0.999999548265861 & 9.03468278419711e-07 & 4.51734139209856e-07 \tabularnewline
157 & 0.999999799462382 & 4.0107523677563e-07 & 2.00537618387815e-07 \tabularnewline
158 & 0.999999718845104 & 5.6230979128125e-07 & 2.81154895640625e-07 \tabularnewline
159 & 0.999999659751219 & 6.80497562813725e-07 & 3.40248781406863e-07 \tabularnewline
160 & 0.999999619121603 & 7.6175679447975e-07 & 3.80878397239875e-07 \tabularnewline
161 & 0.999999687818485 & 6.24363029470995e-07 & 3.12181514735498e-07 \tabularnewline
162 & 0.999999518740387 & 9.62519225607163e-07 & 4.81259612803582e-07 \tabularnewline
163 & 0.999999434639914 & 1.13072017151138e-06 & 5.65360085755689e-07 \tabularnewline
164 & 0.999999917342287 & 1.65315425474033e-07 & 8.26577127370165e-08 \tabularnewline
165 & 0.999999903033388 & 1.93933224750908e-07 & 9.69666123754542e-08 \tabularnewline
166 & 0.999999904538386 & 1.90923226993436e-07 & 9.54616134967179e-08 \tabularnewline
167 & 0.999999880139458 & 2.39721083946262e-07 & 1.19860541973131e-07 \tabularnewline
168 & 0.99999981350482 & 3.7299035943814e-07 & 1.8649517971907e-07 \tabularnewline
169 & 0.999999749816507 & 5.00366986491698e-07 & 2.50183493245849e-07 \tabularnewline
170 & 0.99999968964806 & 6.20703879946556e-07 & 3.10351939973278e-07 \tabularnewline
171 & 0.999999830091473 & 3.39817053414505e-07 & 1.69908526707252e-07 \tabularnewline
172 & 0.999999851350277 & 2.97299445560683e-07 & 1.48649722780342e-07 \tabularnewline
173 & 0.999999788254805 & 4.23490390532712e-07 & 2.11745195266356e-07 \tabularnewline
174 & 0.999999702620987 & 5.94758026806232e-07 & 2.97379013403116e-07 \tabularnewline
175 & 0.99999974438487 & 5.11230260101501e-07 & 2.55615130050751e-07 \tabularnewline
176 & 0.999999842472721 & 3.15054557110719e-07 & 1.57527278555359e-07 \tabularnewline
177 & 0.999999962145415 & 7.57091691891891e-08 & 3.78545845945945e-08 \tabularnewline
178 & 0.999999938411655 & 1.23176690579091e-07 & 6.15883452895454e-08 \tabularnewline
179 & 0.999999953777264 & 9.24454723376498e-08 & 4.62227361688249e-08 \tabularnewline
180 & 0.999999923972702 & 1.52054596061325e-07 & 7.60272980306627e-08 \tabularnewline
181 & 0.999999909926217 & 1.80147566693786e-07 & 9.00737833468929e-08 \tabularnewline
182 & 0.999999897872706 & 2.0425458814924e-07 & 1.0212729407462e-07 \tabularnewline
183 & 0.99999984418653 & 3.11626940378379e-07 & 1.5581347018919e-07 \tabularnewline
184 & 0.999999879432162 & 2.41135676658832e-07 & 1.20567838329416e-07 \tabularnewline
185 & 0.999999970766602 & 5.8466795650629e-08 & 2.92333978253145e-08 \tabularnewline
186 & 0.999999954025875 & 9.19482494034564e-08 & 4.59741247017282e-08 \tabularnewline
187 & 0.999999974961353 & 5.00772930992523e-08 & 2.50386465496261e-08 \tabularnewline
188 & 0.999999961264118 & 7.74717646622199e-08 & 3.87358823311099e-08 \tabularnewline
189 & 0.99999994404243 & 1.1191514029486e-07 & 5.59575701474302e-08 \tabularnewline
190 & 0.999999915472825 & 1.69054350999607e-07 & 8.45271754998033e-08 \tabularnewline
191 & 0.999999868612686 & 2.62774628883544e-07 & 1.31387314441772e-07 \tabularnewline
192 & 0.999999852300437 & 2.95399125549704e-07 & 1.47699562774852e-07 \tabularnewline
193 & 0.999999845718766 & 3.08562468482042e-07 & 1.54281234241021e-07 \tabularnewline
194 & 0.999999988911598 & 2.21768037528626e-08 & 1.10884018764313e-08 \tabularnewline
195 & 0.999999983319296 & 3.33614077239586e-08 & 1.66807038619793e-08 \tabularnewline
196 & 0.999999972435534 & 5.51289323463837e-08 & 2.75644661731918e-08 \tabularnewline
197 & 0.999999965709227 & 6.85815455315515e-08 & 3.42907727657758e-08 \tabularnewline
198 & 0.999999957937091 & 8.41258177004017e-08 & 4.20629088502009e-08 \tabularnewline
199 & 0.999999970278352 & 5.94432969454693e-08 & 2.97216484727346e-08 \tabularnewline
200 & 0.999999971286441 & 5.74271171279632e-08 & 2.87135585639816e-08 \tabularnewline
201 & 0.999999950451554 & 9.90968924559342e-08 & 4.95484462279671e-08 \tabularnewline
202 & 0.999999927310528 & 1.45378944081242e-07 & 7.26894720406209e-08 \tabularnewline
203 & 0.999999873295433 & 2.53409134400101e-07 & 1.2670456720005e-07 \tabularnewline
204 & 0.999999801591882 & 3.96816235171028e-07 & 1.98408117585514e-07 \tabularnewline
205 & 0.999999710088133 & 5.79823734009846e-07 & 2.89911867004923e-07 \tabularnewline
206 & 0.999999516677985 & 9.66644029984927e-07 & 4.83322014992463e-07 \tabularnewline
207 & 0.999999536415688 & 9.27168623894448e-07 & 4.63584311947224e-07 \tabularnewline
208 & 0.999999755389274 & 4.89221451224803e-07 & 2.44610725612401e-07 \tabularnewline
209 & 0.99999968039645 & 6.39207099221534e-07 & 3.19603549610767e-07 \tabularnewline
210 & 0.999999763135295 & 4.73729409410908e-07 & 2.36864704705454e-07 \tabularnewline
211 & 0.999999664869692 & 6.70260615844261e-07 & 3.35130307922131e-07 \tabularnewline
212 & 0.999999585342462 & 8.29315075390173e-07 & 4.14657537695086e-07 \tabularnewline
213 & 0.999999290606726 & 1.41878654848318e-06 & 7.09393274241591e-07 \tabularnewline
214 & 0.999999032371066 & 1.93525786775665e-06 & 9.67628933878323e-07 \tabularnewline
215 & 0.999998415102496 & 3.16979500890366e-06 & 1.58489750445183e-06 \tabularnewline
216 & 0.999997319917016 & 5.36016596713757e-06 & 2.68008298356878e-06 \tabularnewline
217 & 0.999995647114888 & 8.70577022378398e-06 & 4.35288511189199e-06 \tabularnewline
218 & 0.999992739519307 & 1.452096138686e-05 & 7.26048069343e-06 \tabularnewline
219 & 0.99998814648694 & 2.37070261191048e-05 & 1.18535130595524e-05 \tabularnewline
220 & 0.999983657324868 & 3.26853502645407e-05 & 1.63426751322703e-05 \tabularnewline
221 & 0.999974776261873 & 5.04474762541338e-05 & 2.52237381270669e-05 \tabularnewline
222 & 0.999997186787138 & 5.62642572429643e-06 & 2.81321286214821e-06 \tabularnewline
223 & 0.99999830409088 & 3.39181824067861e-06 & 1.69590912033931e-06 \tabularnewline
224 & 0.999997035341409 & 5.92931718262808e-06 & 2.96465859131404e-06 \tabularnewline
225 & 0.99999562118898 & 8.7576220393352e-06 & 4.3788110196676e-06 \tabularnewline
226 & 0.999994921702457 & 1.01565950861691e-05 & 5.07829754308456e-06 \tabularnewline
227 & 0.999991362653104 & 1.72746937913489e-05 & 8.63734689567445e-06 \tabularnewline
228 & 0.999991173604474 & 1.76527910520665e-05 & 8.82639552603326e-06 \tabularnewline
229 & 0.999990950254819 & 1.80994903627112e-05 & 9.04974518135558e-06 \tabularnewline
230 & 0.999996118727475 & 7.76254505089098e-06 & 3.88127252544549e-06 \tabularnewline
231 & 0.999994676090334 & 1.06478193322059e-05 & 5.32390966610297e-06 \tabularnewline
232 & 0.999996475547349 & 7.04890530236962e-06 & 3.52445265118481e-06 \tabularnewline
233 & 0.999994624393036 & 1.07512139276697e-05 & 5.37560696383483e-06 \tabularnewline
234 & 0.99999054199953 & 1.89160009392301e-05 & 9.45800046961506e-06 \tabularnewline
235 & 0.999986724679215 & 2.65506415698459e-05 & 1.32753207849229e-05 \tabularnewline
236 & 0.999977087209496 & 4.58255810081011e-05 & 2.29127905040506e-05 \tabularnewline
237 & 0.999973942547258 & 5.211490548433e-05 & 2.6057452742165e-05 \tabularnewline
238 & 0.99995544779704 & 8.91044059198404e-05 & 4.45522029599202e-05 \tabularnewline
239 & 0.999923645946167 & 0.000152708107665087 & 7.63540538325433e-05 \tabularnewline
240 & 0.999888728369485 & 0.000222543261030595 & 0.000111271630515298 \tabularnewline
241 & 0.99981747244333 & 0.000365055113340866 & 0.000182527556670433 \tabularnewline
242 & 0.999996201704701 & 7.59659059771353e-06 & 3.79829529885677e-06 \tabularnewline
243 & 0.999993558644963 & 1.28827100732322e-05 & 6.44135503661611e-06 \tabularnewline
244 & 0.99998933950879 & 2.13209824208267e-05 & 1.06604912104134e-05 \tabularnewline
245 & 0.999981713033145 & 3.65739337103037e-05 & 1.82869668551519e-05 \tabularnewline
246 & 0.999974739821195 & 5.05203576106088e-05 & 2.52601788053044e-05 \tabularnewline
247 & 0.999996655481337 & 6.68903732558451e-06 & 3.34451866279225e-06 \tabularnewline
248 & 0.999994698636362 & 1.06027272759127e-05 & 5.30136363795634e-06 \tabularnewline
249 & 0.999989218428241 & 2.15631435177383e-05 & 1.07815717588692e-05 \tabularnewline
250 & 0.999983843166024 & 3.23136679526965e-05 & 1.61568339763482e-05 \tabularnewline
251 & 0.999975774616515 & 4.8450766969276e-05 & 2.4225383484638e-05 \tabularnewline
252 & 0.999951929375237 & 9.61412495254572e-05 & 4.80706247627286e-05 \tabularnewline
253 & 0.999911250084098 & 0.000177499831803678 & 8.87499159018391e-05 \tabularnewline
254 & 0.999863907278447 & 0.000272185443106538 & 0.000136092721553269 \tabularnewline
255 & 0.999836421283328 & 0.000327157433344285 & 0.000163578716672143 \tabularnewline
256 & 0.999756938194668 & 0.000486123610663735 & 0.000243061805331867 \tabularnewline
257 & 0.999602229830088 & 0.0007955403398232 & 0.0003977701699116 \tabularnewline
258 & 0.999265943940122 & 0.00146811211975589 & 0.000734056059877945 \tabularnewline
259 & 0.998645534356354 & 0.00270893128729292 & 0.00135446564364646 \tabularnewline
260 & 0.997578740071495 & 0.00484251985700954 & 0.00242125992850477 \tabularnewline
261 & 0.996801545941206 & 0.00639690811758744 & 0.00319845405879372 \tabularnewline
262 & 0.995765502453739 & 0.00846899509252257 & 0.00423449754626128 \tabularnewline
263 & 0.992760783069722 & 0.0144784338605567 & 0.00723921693027837 \tabularnewline
264 & 0.987520353414258 & 0.0249592931714844 & 0.0124796465857422 \tabularnewline
265 & 0.981996138499012 & 0.0360077230019756 & 0.0180038615009878 \tabularnewline
266 & 0.97027450065243 & 0.0594509986951395 & 0.0297254993475698 \tabularnewline
267 & 0.956730461296624 & 0.0865390774067517 & 0.0432695387033759 \tabularnewline
268 & 0.949386538025517 & 0.101226923948967 & 0.0506134619744834 \tabularnewline
269 & 0.924050551641683 & 0.151898896716635 & 0.0759494483583173 \tabularnewline
270 & 0.940137126053975 & 0.11972574789205 & 0.0598628739460252 \tabularnewline
271 & 0.982846191361542 & 0.0343076172769166 & 0.0171538086384583 \tabularnewline
272 & 0.978634492716625 & 0.0427310145667497 & 0.0213655072833749 \tabularnewline
273 & 0.966899667716122 & 0.0662006645677556 & 0.0331003322838778 \tabularnewline
274 & 0.964199311144161 & 0.0716013777116789 & 0.0358006888558394 \tabularnewline
275 & 0.953469388789077 & 0.0930612224218459 & 0.046530611210923 \tabularnewline
276 & 0.917025779947557 & 0.165948440104886 & 0.0829742200524432 \tabularnewline
277 & 0.872780560544642 & 0.254438878910716 & 0.127219439455358 \tabularnewline
278 & 0.793231028282174 & 0.413537943435652 & 0.206768971717826 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155234&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]11[/C][C]0.0616440956037138[/C][C]0.123288191207428[/C][C]0.938355904396286[/C][/ROW]
[ROW][C]12[/C][C]0.0193067307595867[/C][C]0.0386134615191733[/C][C]0.980693269240413[/C][/ROW]
[ROW][C]13[/C][C]0.131012076725494[/C][C]0.262024153450989[/C][C]0.868987923274506[/C][/ROW]
[ROW][C]14[/C][C]0.0762049362670032[/C][C]0.152409872534006[/C][C]0.923795063732997[/C][/ROW]
[ROW][C]15[/C][C]0.0719675854537219[/C][C]0.143935170907444[/C][C]0.928032414546278[/C][/ROW]
[ROW][C]16[/C][C]0.0376315807224505[/C][C]0.0752631614449011[/C][C]0.962368419277549[/C][/ROW]
[ROW][C]17[/C][C]0.742771917794372[/C][C]0.514456164411256[/C][C]0.257228082205628[/C][/ROW]
[ROW][C]18[/C][C]0.662818186502684[/C][C]0.674363626994633[/C][C]0.337181813497316[/C][/ROW]
[ROW][C]19[/C][C]0.586315699506873[/C][C]0.827368600986255[/C][C]0.413684300493127[/C][/ROW]
[ROW][C]20[/C][C]0.503097062392491[/C][C]0.993805875215017[/C][C]0.496902937607509[/C][/ROW]
[ROW][C]21[/C][C]0.469731280934678[/C][C]0.939462561869355[/C][C]0.530268719065322[/C][/ROW]
[ROW][C]22[/C][C]0.392668566994787[/C][C]0.785337133989575[/C][C]0.607331433005213[/C][/ROW]
[ROW][C]23[/C][C]0.340869826000928[/C][C]0.681739652001855[/C][C]0.659130173999072[/C][/ROW]
[ROW][C]24[/C][C]0.27479052978898[/C][C]0.549581059577961[/C][C]0.725209470211019[/C][/ROW]
[ROW][C]25[/C][C]0.238343013989539[/C][C]0.476686027979079[/C][C]0.761656986010461[/C][/ROW]
[ROW][C]26[/C][C]0.184782703535767[/C][C]0.369565407071534[/C][C]0.815217296464233[/C][/ROW]
[ROW][C]27[/C][C]0.181153647667587[/C][C]0.362307295335174[/C][C]0.818846352332413[/C][/ROW]
[ROW][C]28[/C][C]0.206515994023862[/C][C]0.413031988047724[/C][C]0.793484005976138[/C][/ROW]
[ROW][C]29[/C][C]0.172566302934897[/C][C]0.345132605869793[/C][C]0.827433697065103[/C][/ROW]
[ROW][C]30[/C][C]0.144496632946619[/C][C]0.288993265893238[/C][C]0.855503367053381[/C][/ROW]
[ROW][C]31[/C][C]0.14000416147031[/C][C]0.280008322940619[/C][C]0.859995838529691[/C][/ROW]
[ROW][C]32[/C][C]0.131521546664995[/C][C]0.263043093329991[/C][C]0.868478453335005[/C][/ROW]
[ROW][C]33[/C][C]0.118927120124191[/C][C]0.237854240248382[/C][C]0.881072879875809[/C][/ROW]
[ROW][C]34[/C][C]0.131559902446611[/C][C]0.263119804893223[/C][C]0.868440097553389[/C][/ROW]
[ROW][C]35[/C][C]0.116640922679598[/C][C]0.233281845359196[/C][C]0.883359077320402[/C][/ROW]
[ROW][C]36[/C][C]0.0959823584863365[/C][C]0.191964716972673[/C][C]0.904017641513664[/C][/ROW]
[ROW][C]37[/C][C]0.0788630496345682[/C][C]0.157726099269136[/C][C]0.921136950365432[/C][/ROW]
[ROW][C]38[/C][C]0.0745839814673459[/C][C]0.149167962934692[/C][C]0.925416018532654[/C][/ROW]
[ROW][C]39[/C][C]0.103951819904161[/C][C]0.207903639808321[/C][C]0.896048180095839[/C][/ROW]
[ROW][C]40[/C][C]0.0814344698886432[/C][C]0.162868939777286[/C][C]0.918565530111357[/C][/ROW]
[ROW][C]41[/C][C]0.0672268854468626[/C][C]0.134453770893725[/C][C]0.932773114553137[/C][/ROW]
[ROW][C]42[/C][C]0.0546088711437976[/C][C]0.109217742287595[/C][C]0.945391128856202[/C][/ROW]
[ROW][C]43[/C][C]0.224896552479072[/C][C]0.449793104958143[/C][C]0.775103447520929[/C][/ROW]
[ROW][C]44[/C][C]0.212851218433585[/C][C]0.42570243686717[/C][C]0.787148781566415[/C][/ROW]
[ROW][C]45[/C][C]0.289817947782609[/C][C]0.579635895565219[/C][C]0.710182052217391[/C][/ROW]
[ROW][C]46[/C][C]0.29798355532378[/C][C]0.59596711064756[/C][C]0.70201644467622[/C][/ROW]
[ROW][C]47[/C][C]0.554032041200868[/C][C]0.891935917598264[/C][C]0.445967958799132[/C][/ROW]
[ROW][C]48[/C][C]0.518646547324606[/C][C]0.962706905350787[/C][C]0.481353452675394[/C][/ROW]
[ROW][C]49[/C][C]0.480029501143143[/C][C]0.960059002286287[/C][C]0.519970498856857[/C][/ROW]
[ROW][C]50[/C][C]0.456573852452626[/C][C]0.913147704905252[/C][C]0.543426147547374[/C][/ROW]
[ROW][C]51[/C][C]0.708329504292579[/C][C]0.583340991414843[/C][C]0.291670495707421[/C][/ROW]
[ROW][C]52[/C][C]0.680298929529656[/C][C]0.639402140940687[/C][C]0.319701070470344[/C][/ROW]
[ROW][C]53[/C][C]0.711430430591726[/C][C]0.577139138816547[/C][C]0.288569569408274[/C][/ROW]
[ROW][C]54[/C][C]0.852354308054317[/C][C]0.295291383891367[/C][C]0.147645691945683[/C][/ROW]
[ROW][C]55[/C][C]0.865435508639175[/C][C]0.269128982721649[/C][C]0.134564491360825[/C][/ROW]
[ROW][C]56[/C][C]0.84534843314015[/C][C]0.309303133719699[/C][C]0.15465156685985[/C][/ROW]
[ROW][C]57[/C][C]0.82745633799216[/C][C]0.345087324015679[/C][C]0.17254366200784[/C][/ROW]
[ROW][C]58[/C][C]0.806949835519234[/C][C]0.386100328961532[/C][C]0.193050164480766[/C][/ROW]
[ROW][C]59[/C][C]0.777611943542611[/C][C]0.444776112914779[/C][C]0.222388056457389[/C][/ROW]
[ROW][C]60[/C][C]0.746565702489884[/C][C]0.506868595020232[/C][C]0.253434297510116[/C][/ROW]
[ROW][C]61[/C][C]0.728920630043377[/C][C]0.542158739913246[/C][C]0.271079369956623[/C][/ROW]
[ROW][C]62[/C][C]0.806444440240494[/C][C]0.387111119519012[/C][C]0.193555559759506[/C][/ROW]
[ROW][C]63[/C][C]0.999999667628195[/C][C]6.64743610213841e-07[/C][C]3.32371805106921e-07[/C][/ROW]
[ROW][C]64[/C][C]0.999999461478505[/C][C]1.07704298962011e-06[/C][C]5.38521494810056e-07[/C][/ROW]
[ROW][C]65[/C][C]0.999999988349525[/C][C]2.3300950826744e-08[/C][C]1.1650475413372e-08[/C][/ROW]
[ROW][C]66[/C][C]0.999999997751001[/C][C]4.49799844499386e-09[/C][C]2.24899922249693e-09[/C][/ROW]
[ROW][C]67[/C][C]0.999999996455987[/C][C]7.08802667781693e-09[/C][C]3.54401333890847e-09[/C][/ROW]
[ROW][C]68[/C][C]0.999999998126701[/C][C]3.74659834700793e-09[/C][C]1.87329917350397e-09[/C][/ROW]
[ROW][C]69[/C][C]0.999999997565745[/C][C]4.86850943044746e-09[/C][C]2.43425471522373e-09[/C][/ROW]
[ROW][C]70[/C][C]0.999999997022751[/C][C]5.95449792525448e-09[/C][C]2.97724896262724e-09[/C][/ROW]
[ROW][C]71[/C][C]0.999999994833375[/C][C]1.03332508835668e-08[/C][C]5.16662544178338e-09[/C][/ROW]
[ROW][C]72[/C][C]0.999999996235489[/C][C]7.5290225123626e-09[/C][C]3.7645112561813e-09[/C][/ROW]
[ROW][C]73[/C][C]0.999999995493095[/C][C]9.01381065580378e-09[/C][C]4.50690532790189e-09[/C][/ROW]
[ROW][C]74[/C][C]0.99999999362003[/C][C]1.27599396470054e-08[/C][C]6.3799698235027e-09[/C][/ROW]
[ROW][C]75[/C][C]0.999999996973525[/C][C]6.05294966375912e-09[/C][C]3.02647483187956e-09[/C][/ROW]
[ROW][C]76[/C][C]0.999999994971799[/C][C]1.00564027944554e-08[/C][C]5.02820139722769e-09[/C][/ROW]
[ROW][C]77[/C][C]0.999999992211116[/C][C]1.55777673117878e-08[/C][C]7.78888365589392e-09[/C][/ROW]
[ROW][C]78[/C][C]0.999999989293953[/C][C]2.1412093536388e-08[/C][C]1.0706046768194e-08[/C][/ROW]
[ROW][C]79[/C][C]0.99999998932711[/C][C]2.13457807070846e-08[/C][C]1.06728903535423e-08[/C][/ROW]
[ROW][C]80[/C][C]0.999999983872898[/C][C]3.22542046118564e-08[/C][C]1.61271023059282e-08[/C][/ROW]
[ROW][C]81[/C][C]0.999999991343181[/C][C]1.73136375048131e-08[/C][C]8.65681875240653e-09[/C][/ROW]
[ROW][C]82[/C][C]0.999999986203032[/C][C]2.75939367825196e-08[/C][C]1.37969683912598e-08[/C][/ROW]
[ROW][C]83[/C][C]0.999999997507851[/C][C]4.98429734249981e-09[/C][C]2.49214867124991e-09[/C][/ROW]
[ROW][C]84[/C][C]0.999999998349939[/C][C]3.3001214486616e-09[/C][C]1.6500607243308e-09[/C][/ROW]
[ROW][C]85[/C][C]0.999999997746313[/C][C]4.50737316145116e-09[/C][C]2.25368658072558e-09[/C][/ROW]
[ROW][C]86[/C][C]0.999999996667538[/C][C]6.66492319210478e-09[/C][C]3.33246159605239e-09[/C][/ROW]
[ROW][C]87[/C][C]0.999999995604938[/C][C]8.79012383540951e-09[/C][C]4.39506191770475e-09[/C][/ROW]
[ROW][C]88[/C][C]0.999999992742031[/C][C]1.45159371121947e-08[/C][C]7.25796855609733e-09[/C][/ROW]
[ROW][C]89[/C][C]0.999999993414471[/C][C]1.31710584199874e-08[/C][C]6.58552920999371e-09[/C][/ROW]
[ROW][C]90[/C][C]0.999999998719291[/C][C]2.56141879624474e-09[/C][C]1.28070939812237e-09[/C][/ROW]
[ROW][C]91[/C][C]0.999999998635444[/C][C]2.72911211135959e-09[/C][C]1.3645560556798e-09[/C][/ROW]
[ROW][C]92[/C][C]0.999999999327447[/C][C]1.34510510976844e-09[/C][C]6.72552554884222e-10[/C][/ROW]
[ROW][C]93[/C][C]0.999999999375686[/C][C]1.24862793934581e-09[/C][C]6.24313969672905e-10[/C][/ROW]
[ROW][C]94[/C][C]0.999999998980301[/C][C]2.03939798447905e-09[/C][C]1.01969899223952e-09[/C][/ROW]
[ROW][C]95[/C][C]0.999999998590074[/C][C]2.8198526454669e-09[/C][C]1.40992632273345e-09[/C][/ROW]
[ROW][C]96[/C][C]0.999999997603507[/C][C]4.79298597327587e-09[/C][C]2.39649298663794e-09[/C][/ROW]
[ROW][C]97[/C][C]0.999999996342785[/C][C]7.31443019042037e-09[/C][C]3.65721509521019e-09[/C][/ROW]
[ROW][C]98[/C][C]0.999999995455072[/C][C]9.08985649152663e-09[/C][C]4.54492824576332e-09[/C][/ROW]
[ROW][C]99[/C][C]0.999999993085748[/C][C]1.38285041868804e-08[/C][C]6.91425209344019e-09[/C][/ROW]
[ROW][C]100[/C][C]0.999999989692488[/C][C]2.06150234556892e-08[/C][C]1.03075117278446e-08[/C][/ROW]
[ROW][C]101[/C][C]0.999999986031879[/C][C]2.79362421193696e-08[/C][C]1.39681210596848e-08[/C][/ROW]
[ROW][C]102[/C][C]0.999999979373895[/C][C]4.1252209879837e-08[/C][C]2.06261049399185e-08[/C][/ROW]
[ROW][C]103[/C][C]0.999999979425396[/C][C]4.11492087055991e-08[/C][C]2.05746043527996e-08[/C][/ROW]
[ROW][C]104[/C][C]0.999999967081521[/C][C]6.58369583653998e-08[/C][C]3.29184791826999e-08[/C][/ROW]
[ROW][C]105[/C][C]0.999999950326872[/C][C]9.93462556294061e-08[/C][C]4.9673127814703e-08[/C][/ROW]
[ROW][C]106[/C][C]0.999999935246972[/C][C]1.29506056005135e-07[/C][C]6.47530280025677e-08[/C][/ROW]
[ROW][C]107[/C][C]0.999999956313908[/C][C]8.73721837048519e-08[/C][C]4.3686091852426e-08[/C][/ROW]
[ROW][C]108[/C][C]0.999999967842848[/C][C]6.43143042737911e-08[/C][C]3.21571521368955e-08[/C][/ROW]
[ROW][C]109[/C][C]0.99999995979202[/C][C]8.04159599391793e-08[/C][C]4.02079799695896e-08[/C][/ROW]
[ROW][C]110[/C][C]0.999999936904099[/C][C]1.26191801017848e-07[/C][C]6.30959005089239e-08[/C][/ROW]
[ROW][C]111[/C][C]0.99999990694412[/C][C]1.86111760271764e-07[/C][C]9.3055880135882e-08[/C][/ROW]
[ROW][C]112[/C][C]0.999999854315482[/C][C]2.91369035741136e-07[/C][C]1.45684517870568e-07[/C][/ROW]
[ROW][C]113[/C][C]0.999999797031312[/C][C]4.05937375419567e-07[/C][C]2.02968687709784e-07[/C][/ROW]
[ROW][C]114[/C][C]0.999999737808819[/C][C]5.24382361147321e-07[/C][C]2.62191180573661e-07[/C][/ROW]
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[ROW][C]116[/C][C]0.999999895015272[/C][C]2.09969456693128e-07[/C][C]1.04984728346564e-07[/C][/ROW]
[ROW][C]117[/C][C]0.999999868562316[/C][C]2.62875367637041e-07[/C][C]1.31437683818521e-07[/C][/ROW]
[ROW][C]118[/C][C]0.999999870770243[/C][C]2.5845951451815e-07[/C][C]1.29229757259075e-07[/C][/ROW]
[ROW][C]119[/C][C]0.999999799705157[/C][C]4.00589686972363e-07[/C][C]2.00294843486181e-07[/C][/ROW]
[ROW][C]120[/C][C]0.999999841122226[/C][C]3.17755547821338e-07[/C][C]1.58877773910669e-07[/C][/ROW]
[ROW][C]121[/C][C]0.999999825582549[/C][C]3.48834902963113e-07[/C][C]1.74417451481557e-07[/C][/ROW]
[ROW][C]122[/C][C]0.999999733076093[/C][C]5.33847813042943e-07[/C][C]2.66923906521472e-07[/C][/ROW]
[ROW][C]123[/C][C]0.999999835832089[/C][C]3.28335822142774e-07[/C][C]1.64167911071387e-07[/C][/ROW]
[ROW][C]124[/C][C]0.999999753041808[/C][C]4.93916384967697e-07[/C][C]2.46958192483849e-07[/C][/ROW]
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[ROW][C]126[/C][C]0.999999456122727[/C][C]1.08775454601926e-06[/C][C]5.43877273009629e-07[/C][/ROW]
[ROW][C]127[/C][C]0.999999180501279[/C][C]1.63899744161327e-06[/C][C]8.19498720806636e-07[/C][/ROW]
[ROW][C]128[/C][C]0.999999509368084[/C][C]9.81263832378745e-07[/C][C]4.90631916189372e-07[/C][/ROW]
[ROW][C]129[/C][C]0.999999348815567[/C][C]1.30236886687558e-06[/C][C]6.5118443343779e-07[/C][/ROW]
[ROW][C]130[/C][C]0.999999110556406[/C][C]1.77888718730132e-06[/C][C]8.89443593650661e-07[/C][/ROW]
[ROW][C]131[/C][C]0.99999872165121[/C][C]2.55669757989553e-06[/C][C]1.27834878994777e-06[/C][/ROW]
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[ROW][C]137[/C][C]0.999999550788452[/C][C]8.98423095992376e-07[/C][C]4.49211547996188e-07[/C][/ROW]
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[ROW][C]184[/C][C]0.999999879432162[/C][C]2.41135676658832e-07[/C][C]1.20567838329416e-07[/C][/ROW]
[ROW][C]185[/C][C]0.999999970766602[/C][C]5.8466795650629e-08[/C][C]2.92333978253145e-08[/C][/ROW]
[ROW][C]186[/C][C]0.999999954025875[/C][C]9.19482494034564e-08[/C][C]4.59741247017282e-08[/C][/ROW]
[ROW][C]187[/C][C]0.999999974961353[/C][C]5.00772930992523e-08[/C][C]2.50386465496261e-08[/C][/ROW]
[ROW][C]188[/C][C]0.999999961264118[/C][C]7.74717646622199e-08[/C][C]3.87358823311099e-08[/C][/ROW]
[ROW][C]189[/C][C]0.99999994404243[/C][C]1.1191514029486e-07[/C][C]5.59575701474302e-08[/C][/ROW]
[ROW][C]190[/C][C]0.999999915472825[/C][C]1.69054350999607e-07[/C][C]8.45271754998033e-08[/C][/ROW]
[ROW][C]191[/C][C]0.999999868612686[/C][C]2.62774628883544e-07[/C][C]1.31387314441772e-07[/C][/ROW]
[ROW][C]192[/C][C]0.999999852300437[/C][C]2.95399125549704e-07[/C][C]1.47699562774852e-07[/C][/ROW]
[ROW][C]193[/C][C]0.999999845718766[/C][C]3.08562468482042e-07[/C][C]1.54281234241021e-07[/C][/ROW]
[ROW][C]194[/C][C]0.999999988911598[/C][C]2.21768037528626e-08[/C][C]1.10884018764313e-08[/C][/ROW]
[ROW][C]195[/C][C]0.999999983319296[/C][C]3.33614077239586e-08[/C][C]1.66807038619793e-08[/C][/ROW]
[ROW][C]196[/C][C]0.999999972435534[/C][C]5.51289323463837e-08[/C][C]2.75644661731918e-08[/C][/ROW]
[ROW][C]197[/C][C]0.999999965709227[/C][C]6.85815455315515e-08[/C][C]3.42907727657758e-08[/C][/ROW]
[ROW][C]198[/C][C]0.999999957937091[/C][C]8.41258177004017e-08[/C][C]4.20629088502009e-08[/C][/ROW]
[ROW][C]199[/C][C]0.999999970278352[/C][C]5.94432969454693e-08[/C][C]2.97216484727346e-08[/C][/ROW]
[ROW][C]200[/C][C]0.999999971286441[/C][C]5.74271171279632e-08[/C][C]2.87135585639816e-08[/C][/ROW]
[ROW][C]201[/C][C]0.999999950451554[/C][C]9.90968924559342e-08[/C][C]4.95484462279671e-08[/C][/ROW]
[ROW][C]202[/C][C]0.999999927310528[/C][C]1.45378944081242e-07[/C][C]7.26894720406209e-08[/C][/ROW]
[ROW][C]203[/C][C]0.999999873295433[/C][C]2.53409134400101e-07[/C][C]1.2670456720005e-07[/C][/ROW]
[ROW][C]204[/C][C]0.999999801591882[/C][C]3.96816235171028e-07[/C][C]1.98408117585514e-07[/C][/ROW]
[ROW][C]205[/C][C]0.999999710088133[/C][C]5.79823734009846e-07[/C][C]2.89911867004923e-07[/C][/ROW]
[ROW][C]206[/C][C]0.999999516677985[/C][C]9.66644029984927e-07[/C][C]4.83322014992463e-07[/C][/ROW]
[ROW][C]207[/C][C]0.999999536415688[/C][C]9.27168623894448e-07[/C][C]4.63584311947224e-07[/C][/ROW]
[ROW][C]208[/C][C]0.999999755389274[/C][C]4.89221451224803e-07[/C][C]2.44610725612401e-07[/C][/ROW]
[ROW][C]209[/C][C]0.99999968039645[/C][C]6.39207099221534e-07[/C][C]3.19603549610767e-07[/C][/ROW]
[ROW][C]210[/C][C]0.999999763135295[/C][C]4.73729409410908e-07[/C][C]2.36864704705454e-07[/C][/ROW]
[ROW][C]211[/C][C]0.999999664869692[/C][C]6.70260615844261e-07[/C][C]3.35130307922131e-07[/C][/ROW]
[ROW][C]212[/C][C]0.999999585342462[/C][C]8.29315075390173e-07[/C][C]4.14657537695086e-07[/C][/ROW]
[ROW][C]213[/C][C]0.999999290606726[/C][C]1.41878654848318e-06[/C][C]7.09393274241591e-07[/C][/ROW]
[ROW][C]214[/C][C]0.999999032371066[/C][C]1.93525786775665e-06[/C][C]9.67628933878323e-07[/C][/ROW]
[ROW][C]215[/C][C]0.999998415102496[/C][C]3.16979500890366e-06[/C][C]1.58489750445183e-06[/C][/ROW]
[ROW][C]216[/C][C]0.999997319917016[/C][C]5.36016596713757e-06[/C][C]2.68008298356878e-06[/C][/ROW]
[ROW][C]217[/C][C]0.999995647114888[/C][C]8.70577022378398e-06[/C][C]4.35288511189199e-06[/C][/ROW]
[ROW][C]218[/C][C]0.999992739519307[/C][C]1.452096138686e-05[/C][C]7.26048069343e-06[/C][/ROW]
[ROW][C]219[/C][C]0.99998814648694[/C][C]2.37070261191048e-05[/C][C]1.18535130595524e-05[/C][/ROW]
[ROW][C]220[/C][C]0.999983657324868[/C][C]3.26853502645407e-05[/C][C]1.63426751322703e-05[/C][/ROW]
[ROW][C]221[/C][C]0.999974776261873[/C][C]5.04474762541338e-05[/C][C]2.52237381270669e-05[/C][/ROW]
[ROW][C]222[/C][C]0.999997186787138[/C][C]5.62642572429643e-06[/C][C]2.81321286214821e-06[/C][/ROW]
[ROW][C]223[/C][C]0.99999830409088[/C][C]3.39181824067861e-06[/C][C]1.69590912033931e-06[/C][/ROW]
[ROW][C]224[/C][C]0.999997035341409[/C][C]5.92931718262808e-06[/C][C]2.96465859131404e-06[/C][/ROW]
[ROW][C]225[/C][C]0.99999562118898[/C][C]8.7576220393352e-06[/C][C]4.3788110196676e-06[/C][/ROW]
[ROW][C]226[/C][C]0.999994921702457[/C][C]1.01565950861691e-05[/C][C]5.07829754308456e-06[/C][/ROW]
[ROW][C]227[/C][C]0.999991362653104[/C][C]1.72746937913489e-05[/C][C]8.63734689567445e-06[/C][/ROW]
[ROW][C]228[/C][C]0.999991173604474[/C][C]1.76527910520665e-05[/C][C]8.82639552603326e-06[/C][/ROW]
[ROW][C]229[/C][C]0.999990950254819[/C][C]1.80994903627112e-05[/C][C]9.04974518135558e-06[/C][/ROW]
[ROW][C]230[/C][C]0.999996118727475[/C][C]7.76254505089098e-06[/C][C]3.88127252544549e-06[/C][/ROW]
[ROW][C]231[/C][C]0.999994676090334[/C][C]1.06478193322059e-05[/C][C]5.32390966610297e-06[/C][/ROW]
[ROW][C]232[/C][C]0.999996475547349[/C][C]7.04890530236962e-06[/C][C]3.52445265118481e-06[/C][/ROW]
[ROW][C]233[/C][C]0.999994624393036[/C][C]1.07512139276697e-05[/C][C]5.37560696383483e-06[/C][/ROW]
[ROW][C]234[/C][C]0.99999054199953[/C][C]1.89160009392301e-05[/C][C]9.45800046961506e-06[/C][/ROW]
[ROW][C]235[/C][C]0.999986724679215[/C][C]2.65506415698459e-05[/C][C]1.32753207849229e-05[/C][/ROW]
[ROW][C]236[/C][C]0.999977087209496[/C][C]4.58255810081011e-05[/C][C]2.29127905040506e-05[/C][/ROW]
[ROW][C]237[/C][C]0.999973942547258[/C][C]5.211490548433e-05[/C][C]2.6057452742165e-05[/C][/ROW]
[ROW][C]238[/C][C]0.99995544779704[/C][C]8.91044059198404e-05[/C][C]4.45522029599202e-05[/C][/ROW]
[ROW][C]239[/C][C]0.999923645946167[/C][C]0.000152708107665087[/C][C]7.63540538325433e-05[/C][/ROW]
[ROW][C]240[/C][C]0.999888728369485[/C][C]0.000222543261030595[/C][C]0.000111271630515298[/C][/ROW]
[ROW][C]241[/C][C]0.99981747244333[/C][C]0.000365055113340866[/C][C]0.000182527556670433[/C][/ROW]
[ROW][C]242[/C][C]0.999996201704701[/C][C]7.59659059771353e-06[/C][C]3.79829529885677e-06[/C][/ROW]
[ROW][C]243[/C][C]0.999993558644963[/C][C]1.28827100732322e-05[/C][C]6.44135503661611e-06[/C][/ROW]
[ROW][C]244[/C][C]0.99998933950879[/C][C]2.13209824208267e-05[/C][C]1.06604912104134e-05[/C][/ROW]
[ROW][C]245[/C][C]0.999981713033145[/C][C]3.65739337103037e-05[/C][C]1.82869668551519e-05[/C][/ROW]
[ROW][C]246[/C][C]0.999974739821195[/C][C]5.05203576106088e-05[/C][C]2.52601788053044e-05[/C][/ROW]
[ROW][C]247[/C][C]0.999996655481337[/C][C]6.68903732558451e-06[/C][C]3.34451866279225e-06[/C][/ROW]
[ROW][C]248[/C][C]0.999994698636362[/C][C]1.06027272759127e-05[/C][C]5.30136363795634e-06[/C][/ROW]
[ROW][C]249[/C][C]0.999989218428241[/C][C]2.15631435177383e-05[/C][C]1.07815717588692e-05[/C][/ROW]
[ROW][C]250[/C][C]0.999983843166024[/C][C]3.23136679526965e-05[/C][C]1.61568339763482e-05[/C][/ROW]
[ROW][C]251[/C][C]0.999975774616515[/C][C]4.8450766969276e-05[/C][C]2.4225383484638e-05[/C][/ROW]
[ROW][C]252[/C][C]0.999951929375237[/C][C]9.61412495254572e-05[/C][C]4.80706247627286e-05[/C][/ROW]
[ROW][C]253[/C][C]0.999911250084098[/C][C]0.000177499831803678[/C][C]8.87499159018391e-05[/C][/ROW]
[ROW][C]254[/C][C]0.999863907278447[/C][C]0.000272185443106538[/C][C]0.000136092721553269[/C][/ROW]
[ROW][C]255[/C][C]0.999836421283328[/C][C]0.000327157433344285[/C][C]0.000163578716672143[/C][/ROW]
[ROW][C]256[/C][C]0.999756938194668[/C][C]0.000486123610663735[/C][C]0.000243061805331867[/C][/ROW]
[ROW][C]257[/C][C]0.999602229830088[/C][C]0.0007955403398232[/C][C]0.0003977701699116[/C][/ROW]
[ROW][C]258[/C][C]0.999265943940122[/C][C]0.00146811211975589[/C][C]0.000734056059877945[/C][/ROW]
[ROW][C]259[/C][C]0.998645534356354[/C][C]0.00270893128729292[/C][C]0.00135446564364646[/C][/ROW]
[ROW][C]260[/C][C]0.997578740071495[/C][C]0.00484251985700954[/C][C]0.00242125992850477[/C][/ROW]
[ROW][C]261[/C][C]0.996801545941206[/C][C]0.00639690811758744[/C][C]0.00319845405879372[/C][/ROW]
[ROW][C]262[/C][C]0.995765502453739[/C][C]0.00846899509252257[/C][C]0.00423449754626128[/C][/ROW]
[ROW][C]263[/C][C]0.992760783069722[/C][C]0.0144784338605567[/C][C]0.00723921693027837[/C][/ROW]
[ROW][C]264[/C][C]0.987520353414258[/C][C]0.0249592931714844[/C][C]0.0124796465857422[/C][/ROW]
[ROW][C]265[/C][C]0.981996138499012[/C][C]0.0360077230019756[/C][C]0.0180038615009878[/C][/ROW]
[ROW][C]266[/C][C]0.97027450065243[/C][C]0.0594509986951395[/C][C]0.0297254993475698[/C][/ROW]
[ROW][C]267[/C][C]0.956730461296624[/C][C]0.0865390774067517[/C][C]0.0432695387033759[/C][/ROW]
[ROW][C]268[/C][C]0.949386538025517[/C][C]0.101226923948967[/C][C]0.0506134619744834[/C][/ROW]
[ROW][C]269[/C][C]0.924050551641683[/C][C]0.151898896716635[/C][C]0.0759494483583173[/C][/ROW]
[ROW][C]270[/C][C]0.940137126053975[/C][C]0.11972574789205[/C][C]0.0598628739460252[/C][/ROW]
[ROW][C]271[/C][C]0.982846191361542[/C][C]0.0343076172769166[/C][C]0.0171538086384583[/C][/ROW]
[ROW][C]272[/C][C]0.978634492716625[/C][C]0.0427310145667497[/C][C]0.0213655072833749[/C][/ROW]
[ROW][C]273[/C][C]0.966899667716122[/C][C]0.0662006645677556[/C][C]0.0331003322838778[/C][/ROW]
[ROW][C]274[/C][C]0.964199311144161[/C][C]0.0716013777116789[/C][C]0.0358006888558394[/C][/ROW]
[ROW][C]275[/C][C]0.953469388789077[/C][C]0.0930612224218459[/C][C]0.046530611210923[/C][/ROW]
[ROW][C]276[/C][C]0.917025779947557[/C][C]0.165948440104886[/C][C]0.0829742200524432[/C][/ROW]
[ROW][C]277[/C][C]0.872780560544642[/C][C]0.254438878910716[/C][C]0.127219439455358[/C][/ROW]
[ROW][C]278[/C][C]0.793231028282174[/C][C]0.413537943435652[/C][C]0.206768971717826[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155234&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155234&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.06164409560371380.1232881912074280.938355904396286
120.01930673075958670.03861346151917330.980693269240413
130.1310120767254940.2620241534509890.868987923274506
140.07620493626700320.1524098725340060.923795063732997
150.07196758545372190.1439351709074440.928032414546278
160.03763158072245050.07526316144490110.962368419277549
170.7427719177943720.5144561644112560.257228082205628
180.6628181865026840.6743636269946330.337181813497316
190.5863156995068730.8273686009862550.413684300493127
200.5030970623924910.9938058752150170.496902937607509
210.4697312809346780.9394625618693550.530268719065322
220.3926685669947870.7853371339895750.607331433005213
230.3408698260009280.6817396520018550.659130173999072
240.274790529788980.5495810595779610.725209470211019
250.2383430139895390.4766860279790790.761656986010461
260.1847827035357670.3695654070715340.815217296464233
270.1811536476675870.3623072953351740.818846352332413
280.2065159940238620.4130319880477240.793484005976138
290.1725663029348970.3451326058697930.827433697065103
300.1444966329466190.2889932658932380.855503367053381
310.140004161470310.2800083229406190.859995838529691
320.1315215466649950.2630430933299910.868478453335005
330.1189271201241910.2378542402483820.881072879875809
340.1315599024466110.2631198048932230.868440097553389
350.1166409226795980.2332818453591960.883359077320402
360.09598235848633650.1919647169726730.904017641513664
370.07886304963456820.1577260992691360.921136950365432
380.07458398146734590.1491679629346920.925416018532654
390.1039518199041610.2079036398083210.896048180095839
400.08143446988864320.1628689397772860.918565530111357
410.06722688544686260.1344537708937250.932773114553137
420.05460887114379760.1092177422875950.945391128856202
430.2248965524790720.4497931049581430.775103447520929
440.2128512184335850.425702436867170.787148781566415
450.2898179477826090.5796358955652190.710182052217391
460.297983555323780.595967110647560.70201644467622
470.5540320412008680.8919359175982640.445967958799132
480.5186465473246060.9627069053507870.481353452675394
490.4800295011431430.9600590022862870.519970498856857
500.4565738524526260.9131477049052520.543426147547374
510.7083295042925790.5833409914148430.291670495707421
520.6802989295296560.6394021409406870.319701070470344
530.7114304305917260.5771391388165470.288569569408274
540.8523543080543170.2952913838913670.147645691945683
550.8654355086391750.2691289827216490.134564491360825
560.845348433140150.3093031337196990.15465156685985
570.827456337992160.3450873240156790.17254366200784
580.8069498355192340.3861003289615320.193050164480766
590.7776119435426110.4447761129147790.222388056457389
600.7465657024898840.5068685950202320.253434297510116
610.7289206300433770.5421587399132460.271079369956623
620.8064444402404940.3871111195190120.193555559759506
630.9999996676281956.64743610213841e-073.32371805106921e-07
640.9999994614785051.07704298962011e-065.38521494810056e-07
650.9999999883495252.3300950826744e-081.1650475413372e-08
660.9999999977510014.49799844499386e-092.24899922249693e-09
670.9999999964559877.08802667781693e-093.54401333890847e-09
680.9999999981267013.74659834700793e-091.87329917350397e-09
690.9999999975657454.86850943044746e-092.43425471522373e-09
700.9999999970227515.95449792525448e-092.97724896262724e-09
710.9999999948333751.03332508835668e-085.16662544178338e-09
720.9999999962354897.5290225123626e-093.7645112561813e-09
730.9999999954930959.01381065580378e-094.50690532790189e-09
740.999999993620031.27599396470054e-086.3799698235027e-09
750.9999999969735256.05294966375912e-093.02647483187956e-09
760.9999999949717991.00564027944554e-085.02820139722769e-09
770.9999999922111161.55777673117878e-087.78888365589392e-09
780.9999999892939532.1412093536388e-081.0706046768194e-08
790.999999989327112.13457807070846e-081.06728903535423e-08
800.9999999838728983.22542046118564e-081.61271023059282e-08
810.9999999913431811.73136375048131e-088.65681875240653e-09
820.9999999862030322.75939367825196e-081.37969683912598e-08
830.9999999975078514.98429734249981e-092.49214867124991e-09
840.9999999983499393.3001214486616e-091.6500607243308e-09
850.9999999977463134.50737316145116e-092.25368658072558e-09
860.9999999966675386.66492319210478e-093.33246159605239e-09
870.9999999956049388.79012383540951e-094.39506191770475e-09
880.9999999927420311.45159371121947e-087.25796855609733e-09
890.9999999934144711.31710584199874e-086.58552920999371e-09
900.9999999987192912.56141879624474e-091.28070939812237e-09
910.9999999986354442.72911211135959e-091.3645560556798e-09
920.9999999993274471.34510510976844e-096.72552554884222e-10
930.9999999993756861.24862793934581e-096.24313969672905e-10
940.9999999989803012.03939798447905e-091.01969899223952e-09
950.9999999985900742.8198526454669e-091.40992632273345e-09
960.9999999976035074.79298597327587e-092.39649298663794e-09
970.9999999963427857.31443019042037e-093.65721509521019e-09
980.9999999954550729.08985649152663e-094.54492824576332e-09
990.9999999930857481.38285041868804e-086.91425209344019e-09
1000.9999999896924882.06150234556892e-081.03075117278446e-08
1010.9999999860318792.79362421193696e-081.39681210596848e-08
1020.9999999793738954.1252209879837e-082.06261049399185e-08
1030.9999999794253964.11492087055991e-082.05746043527996e-08
1040.9999999670815216.58369583653998e-083.29184791826999e-08
1050.9999999503268729.93462556294061e-084.9673127814703e-08
1060.9999999352469721.29506056005135e-076.47530280025677e-08
1070.9999999563139088.73721837048519e-084.3686091852426e-08
1080.9999999678428486.43143042737911e-083.21571521368955e-08
1090.999999959792028.04159599391793e-084.02079799695896e-08
1100.9999999369040991.26191801017848e-076.30959005089239e-08
1110.999999906944121.86111760271764e-079.3055880135882e-08
1120.9999998543154822.91369035741136e-071.45684517870568e-07
1130.9999997970313124.05937375419567e-072.02968687709784e-07
1140.9999997378088195.24382361147321e-072.62191180573661e-07
1150.9999996440770487.11845903834372e-073.55922951917186e-07
1160.9999998950152722.09969456693128e-071.04984728346564e-07
1170.9999998685623162.62875367637041e-071.31437683818521e-07
1180.9999998707702432.5845951451815e-071.29229757259075e-07
1190.9999997997051574.00589686972363e-072.00294843486181e-07
1200.9999998411222263.17755547821338e-071.58877773910669e-07
1210.9999998255825493.48834902963113e-071.74417451481557e-07
1220.9999997330760935.33847813042943e-072.66923906521472e-07
1230.9999998358320893.28335822142774e-071.64167911071387e-07
1240.9999997530418084.93916384967697e-072.46958192483849e-07
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1260.9999994561227271.08775454601926e-065.43877273009629e-07
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1290.9999993488155671.30236886687558e-066.5118443343779e-07
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1320.999998210335963.57932808025449e-061.78966404012724e-06
1330.9999977671402544.4657194921956e-062.2328597460978e-06
1340.9999991552296051.68954079051236e-068.44770395256181e-07
1350.9999994352626081.12947478405205e-065.64737392026024e-07
1360.9999996830980426.33803916849816e-073.16901958424908e-07
1370.9999995507884528.98423095992376e-074.49211547996188e-07
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1600.9999996191216037.6175679447975e-073.80878397239875e-07
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1680.999999813504823.7299035943814e-071.8649517971907e-07
1690.9999997498165075.00366986491698e-072.50183493245849e-07
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1720.9999998513502772.97299445560683e-071.48649722780342e-07
1730.9999997882548054.23490390532712e-072.11745195266356e-07
1740.9999997026209875.94758026806232e-072.97379013403116e-07
1750.999999744384875.11230260101501e-072.55615130050751e-07
1760.9999998424727213.15054557110719e-071.57527278555359e-07
1770.9999999621454157.57091691891891e-083.78545845945945e-08
1780.9999999384116551.23176690579091e-076.15883452895454e-08
1790.9999999537772649.24454723376498e-084.62227361688249e-08
1800.9999999239727021.52054596061325e-077.60272980306627e-08
1810.9999999099262171.80147566693786e-079.00737833468929e-08
1820.9999998978727062.0425458814924e-071.0212729407462e-07
1830.999999844186533.11626940378379e-071.5581347018919e-07
1840.9999998794321622.41135676658832e-071.20567838329416e-07
1850.9999999707666025.8466795650629e-082.92333978253145e-08
1860.9999999540258759.19482494034564e-084.59741247017282e-08
1870.9999999749613535.00772930992523e-082.50386465496261e-08
1880.9999999612641187.74717646622199e-083.87358823311099e-08
1890.999999944042431.1191514029486e-075.59575701474302e-08
1900.9999999154728251.69054350999607e-078.45271754998033e-08
1910.9999998686126862.62774628883544e-071.31387314441772e-07
1920.9999998523004372.95399125549704e-071.47699562774852e-07
1930.9999998457187663.08562468482042e-071.54281234241021e-07
1940.9999999889115982.21768037528626e-081.10884018764313e-08
1950.9999999833192963.33614077239586e-081.66807038619793e-08
1960.9999999724355345.51289323463837e-082.75644661731918e-08
1970.9999999657092276.85815455315515e-083.42907727657758e-08
1980.9999999579370918.41258177004017e-084.20629088502009e-08
1990.9999999702783525.94432969454693e-082.97216484727346e-08
2000.9999999712864415.74271171279632e-082.87135585639816e-08
2010.9999999504515549.90968924559342e-084.95484462279671e-08
2020.9999999273105281.45378944081242e-077.26894720406209e-08
2030.9999998732954332.53409134400101e-071.2670456720005e-07
2040.9999998015918823.96816235171028e-071.98408117585514e-07
2050.9999997100881335.79823734009846e-072.89911867004923e-07
2060.9999995166779859.66644029984927e-074.83322014992463e-07
2070.9999995364156889.27168623894448e-074.63584311947224e-07
2080.9999997553892744.89221451224803e-072.44610725612401e-07
2090.999999680396456.39207099221534e-073.19603549610767e-07
2100.9999997631352954.73729409410908e-072.36864704705454e-07
2110.9999996648696926.70260615844261e-073.35130307922131e-07
2120.9999995853424628.29315075390173e-074.14657537695086e-07
2130.9999992906067261.41878654848318e-067.09393274241591e-07
2140.9999990323710661.93525786775665e-069.67628933878323e-07
2150.9999984151024963.16979500890366e-061.58489750445183e-06
2160.9999973199170165.36016596713757e-062.68008298356878e-06
2170.9999956471148888.70577022378398e-064.35288511189199e-06
2180.9999927395193071.452096138686e-057.26048069343e-06
2190.999988146486942.37070261191048e-051.18535130595524e-05
2200.9999836573248683.26853502645407e-051.63426751322703e-05
2210.9999747762618735.04474762541338e-052.52237381270669e-05
2220.9999971867871385.62642572429643e-062.81321286214821e-06
2230.999998304090883.39181824067861e-061.69590912033931e-06
2240.9999970353414095.92931718262808e-062.96465859131404e-06
2250.999995621188988.7576220393352e-064.3788110196676e-06
2260.9999949217024571.01565950861691e-055.07829754308456e-06
2270.9999913626531041.72746937913489e-058.63734689567445e-06
2280.9999911736044741.76527910520665e-058.82639552603326e-06
2290.9999909502548191.80994903627112e-059.04974518135558e-06
2300.9999961187274757.76254505089098e-063.88127252544549e-06
2310.9999946760903341.06478193322059e-055.32390966610297e-06
2320.9999964755473497.04890530236962e-063.52445265118481e-06
2330.9999946243930361.07512139276697e-055.37560696383483e-06
2340.999990541999531.89160009392301e-059.45800046961506e-06
2350.9999867246792152.65506415698459e-051.32753207849229e-05
2360.9999770872094964.58255810081011e-052.29127905040506e-05
2370.9999739425472585.211490548433e-052.6057452742165e-05
2380.999955447797048.91044059198404e-054.45522029599202e-05
2390.9999236459461670.0001527081076650877.63540538325433e-05
2400.9998887283694850.0002225432610305950.000111271630515298
2410.999817472443330.0003650551133408660.000182527556670433
2420.9999962017047017.59659059771353e-063.79829529885677e-06
2430.9999935586449631.28827100732322e-056.44135503661611e-06
2440.999989339508792.13209824208267e-051.06604912104134e-05
2450.9999817130331453.65739337103037e-051.82869668551519e-05
2460.9999747398211955.05203576106088e-052.52601788053044e-05
2470.9999966554813376.68903732558451e-063.34451866279225e-06
2480.9999946986363621.06027272759127e-055.30136363795634e-06
2490.9999892184282412.15631435177383e-051.07815717588692e-05
2500.9999838431660243.23136679526965e-051.61568339763482e-05
2510.9999757746165154.8450766969276e-052.4225383484638e-05
2520.9999519293752379.61412495254572e-054.80706247627286e-05
2530.9999112500840980.0001774998318036788.87499159018391e-05
2540.9998639072784470.0002721854431065380.000136092721553269
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Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2000.746268656716418NOK
5% type I error level2060.76865671641791NOK
10% type I error level2120.791044776119403NOK

\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 & 200 & 0.746268656716418 & NOK \tabularnewline
5% type I error level & 206 & 0.76865671641791 & NOK \tabularnewline
10% type I error level & 212 & 0.791044776119403 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155234&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]200[/C][C]0.746268656716418[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]206[/C][C]0.76865671641791[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]212[/C][C]0.791044776119403[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155234&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155234&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 level2000.746268656716418NOK
5% type I error level2060.76865671641791NOK
10% type I error level2120.791044776119403NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}