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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationFri, 21 Dec 2012 08:41:00 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/21/t1356097331v70zcdlw4mpsahx.htm/, Retrieved Fri, 29 Mar 2024 08:10:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=203655, Retrieved Fri, 29 Mar 2024 08:10:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Decreasing Compet...] [2010-11-17 09:04:39] [b98453cac15ba1066b407e146608df68]
- R PD  [Multiple Regression] [Workshop 7: Meerv...] [2012-11-18 16:32:33] [7bed0d115000febeef05f886574a3dac]
-   P     [Multiple Regression] [Workshop 7: Meerv...] [2012-11-18 16:39:18] [7bed0d115000febeef05f886574a3dac]
-    D      [Multiple Regression] [Workshop 7: Meerv...] [2012-11-18 16:49:45] [7bed0d115000febeef05f886574a3dac]
-             [Multiple Regression] [Workshop 7: Meerv...] [2012-11-20 17:00:46] [7bed0d115000febeef05f886574a3dac]
-                 [Multiple Regression] [Paper - deel 3 - ...] [2012-12-21 13:41:00] [ea3f368794e91aea24e3a61414fc1d16] [Current]
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Dataseries X:
1418	56	30	145	3	210907
869	56	28	101	4	120982
1530	54	38	98	12	176508
2172	89	30	132	2	179321
901	40	22	60	1	123185
463	25	26	38	3	52746
3201	92	25	144	0	385534
371	18	18	5	0	33170
1192	63	11	28	0	101645
1583	44	26	84	5	149061
1439	33	25	79	0	165446
1764	84	38	127	0	237213
1495	88	44	78	7	173326
1373	55	30	60	7	133131
2187	60	40	131	3	258873
1491	66	34	84	9	180083
4041	154	47	133	0	324799
1706	53	30	150	4	230964
2152	119	31	91	3	236785
1036	41	23	132	0	135473
1882	61	36	136	7	202925
1929	58	36	124	0	215147
2242	75	30	118	1	344297
1220	33	25	70	5	153935
1289	40	39	107	7	132943
2515	92	34	119	0	174724
2147	100	31	89	0	174415
2352	112	31	112	5	225548
1638	73	33	108	0	223632
1222	40	25	52	0	124817
1812	45	33	112	0	221698
1677	60	35	116	3	210767
1579	62	42	123	4	170266
1731	75	43	125	1	260561
807	31	30	27	4	84853
2452	77	33	162	2	294424
829	34	13	32	0	101011
1940	46	32	64	0	215641
2662	99	36	92	0	325107
186	17	0	0	0	7176
1499	66	28	83	2	167542
865	30	14	41	1	106408
1793	76	17	47	0	96560
2527	146	32	120	2	265769
2747	67	30	105	10	269651
1324	56	35	79	6	149112
2702	107	20	65	0	175824
1383	58	28	70	5	152871
1179	34	28	55	4	111665
2099	61	39	39	1	116408
4308	119	34	67	2	362301
918	42	26	21	2	78800
1831	66	39	127	0	183167
3373	89	39	152	8	277965
1713	44	33	113	3	150629
1438	66	28	99	0	168809
496	24	4	7	0	24188
2253	259	39	141	8	329267
744	17	18	21	5	65029
1161	64	14	35	3	101097
2352	41	29	109	1	218946
2144	68	44	133	5	244052
4691	168	21	123	1	341570
1112	43	16	26	1	103597
2694	132	28	230	5	233328
1973	105	35	166	0	256462
1769	71	28	68	12	206161
3148	112	38	147	8	311473
2474	94	23	179	8	235800
2084	82	36	61	8	177939
1954	70	32	101	8	207176
1226	57	29	108	2	196553
1389	53	25	90	0	174184
1496	103	27	114	5	143246
2269	121	36	103	8	187559
1833	62	28	142	2	187681
1268	52	23	79	5	119016
1943	52	40	88	12	182192
893	32	23	25	6	73566
1762	62	40	83	7	194979
1403	45	28	113	2	167488
1425	46	34	118	0	143756
1857	63	33	110	4	275541
1840	75	28	129	3	243199
1502	88	34	51	6	182999
1441	46	30	93	2	135649
1420	53	33	76	0	152299
1416	37	22	49	1	120221
2970	90	38	118	0	346485
1317	63	26	38	5	145790
1644	78	35	141	2	193339
870	25	8	58	0	80953
1654	45	24	27	0	122774
1054	46	29	91	5	130585
937	41	20	48	0	112611
3004	144	29	63	1	286468
2008	82	45	56	0	241066
2547	91	37	144	1	148446
1885	71	33	73	1	204713
1626	63	33	168	2	182079
1468	53	25	64	6	140344
2445	62	32	97	1	220516
1964	63	29	117	4	243060
1381	32	28	100	2	162765
1369	39	28	149	3	182613
1659	62	31	187	0	232138
2888	117	52	127	10	265318
1290	34	21	37	0	85574
2845	92	24	245	9	310839
1982	93	41	87	7	225060
1904	54	33	177	0	232317
1391	144	32	49	0	144966
602	14	19	49	4	43287
1743	61	20	73	4	155754
1559	109	31	177	0	164709
2014	38	31	94	0	201940
2143	73	32	117	0	235454
2146	75	18	60	1	220801
874	50	23	55	0	99466
1590	61	17	39	1	92661
1590	55	20	64	0	133328
1210	77	12	26	0	61361
2072	75	17	64	4	125930
1281	72	30	58	0	100750
1401	50	31	95	4	224549
834	32	10	25	4	82316
1105	53	13	26	3	102010
1272	42	22	76	0	101523
1944	71	42	129	0	243511
391	10	1	11	0	22938
761	35	9	2	5	41566
1605	65	32	101	0	152474
530	25	11	28	4	61857
1988	66	25	36	0	99923
1386	41	36	89	0	132487
2395	86	31	193	1	317394
387	16	0	4	0	21054
1742	42	24	84	5	209641
620	19	13	23	0	22648
449	19	8	39	0	31414
800	45	13	14	0	46698
1684	65	19	78	0	131698
1050	35	18	14	0	91735
2699	95	33	101	2	244749
1606	49	40	82	7	184510
1502	37	22	24	1	79863
1204	64	38	36	8	128423
1138	38	24	75	2	97839
568	34	8	16	0	38214
1459	32	35	55	2	151101
2158	65	43	131	0	272458
1111	52	43	131	0	172494
1421	62	14	39	1	108043
2833	65	41	144	3	328107
1955	83	38	139	0	250579
2922	95	45	211	3	351067
1002	29	31	78	0	158015
1060	18	13	50	0	98866
956	33	28	39	0	85439
2186	247	31	90	4	229242
3604	139	40	166	4	351619
1035	29	30	12	11	84207
1417	118	16	57	0	120445
3261	110	37	133	0	324598
1587	67	30	69	4	131069
1424	42	35	119	0	204271
1701	65	32	119	1	165543
1249	94	27	65	0	141722
946	64	20	61	0	116048
1926	81	18	49	0	250047
3352	95	31	101	9	299775
1641	67	31	196	1	195838
2035	63	21	15	3	173260
2312	83	39	136	10	254488
1369	45	41	89	5	104389
1577	30	13	40	0	136084
2201	70	32	123	2	199476
961	32	18	21	0	92499
1900	83	39	163	1	224330
1254	31	14	29	2	135781
1335	67	7	35	4	74408
1597	66	17	13	0	81240
207	10	0	5	0	14688
1645	70	30	96	2	181633
2429	103	37	151	1	271856
151	5	0	6	0	7199
474	20	5	13	0	46660
141	5	1	3	0	17547
1639	36	16	56	1	133368
872	34	32	23	0	95227
1318	48	24	57	2	152601
1018	40	17	14	0	98146
1383	43	11	43	3	79619
1314	31	24	20	6	59194
1335	42	22	72	0	139942
1403	46	12	87	2	118612
910	33	19	21	0	72880
616	18	13	56	2	65475
1407	55	17	59	1	99643
771	35	15	82	1	71965
766	59	16	43	2	77272
473	19	24	25	1	49289
1376	66	15	38	0	135131
1232	60	17	25	1	108446
1521	36	18	38	3	89746
572	25	20	12	0	44296
1059	47	16	29	0	77648
1544	54	16	47	0	181528
1230	53	18	45	0	134019
1206	40	22	40	1	124064
1205	40	8	30	4	92630
1255	39	17	41	0	121848
613	14	18	25	0	52915
721	45	16	23	0	81872
1109	36	23	14	7	58981
740	28	22	16	2	53515
1126	44	13	26	0	60812
728	30	13	21	7	56375
689	22	16	27	3	65490
592	17	16	9	0	80949
995	31	20	33	0	76302
1613	55	22	42	6	104011
2048	54	17	68	2	98104
705	21	18	32	0	67989
301	14	17	6	0	30989
1803	81	12	67	3	135458
799	35	7	33	0	73504
861	43	17	77	1	63123
1186	46	14	46	1	61254
1451	30	23	30	0	74914
628	23	17	0	1	31774
1161	38	14	36	0	81437
1463	54	15	46	0	87186
742	20	17	18	0	50090
979	53	21	48	0	65745
675	45	18	29	0	56653
1241	39	18	28	0	158399
676	20	17	34	0	46455
1049	24	17	33	0	73624
620	31	16	34	0	38395
1081	35	15	33	0	91899
1688	151	21	80	0	139526
736	52	16	32	0	52164
617	30	14	30	2	51567
812	31	15	41	0	70551
1051	29	17	41	1	84856
1656	57	15	51	1	102538
705	40	15	18	0	86678
945	44	10	34	0	85709
554	25	6	31	0	34662
1597	77	22	39	0	150580
982	35	21	54	0	99611
222	11	1	14	0	19349
1212	63	18	24	1	99373
1143	44	17	24	0	86230
435	19	4	8	0	30837
532	13	10	26	0	31706
882	42	16	19	0	89806
608	38	16	11	1	62088
459	29	9	14	0	40151
578	20	16	1	0	27634
826	27	17	39	0	76990
509	20	7	5	0	37460
717	19	15	37	0	54157
637	37	14	32	0	49862
857	26	14	38	0	84337
830	42	18	47	0	64175
652	49	12	47	0	59382
707	30	16	37	0	119308
954	49	21	51	0	76702
1461	67	19	45	1	103425
672	28	16	21	0	70344
778	19	1	1	0	43410
1141	49	16	42	1	104838
680	27	10	26	0	62215
1090	30	19	21	6	69304
616	22	12	4	3	53117
285	12	2	10	1	19764
1145	31	14	43	2	86680
733	20	17	34	0	84105
888	20	19	31	0	77945
849	39	14	19	0	89113
1182	29	11	34	3	91005
528	16	4	6	1	40248
642	27	16	11	0	64187
947	21	20	24	0	50857
819	19	12	16	1	56613
757	35	15	72	0	62792
894	14	16	21	0	72535




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time17 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 17 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203655&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]17 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203655&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203655&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time17 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Multiple Linear Regression - Estimated Regression Equation
Time_in_rfc[t] = -5464.82443688153 + 61.7588771569759Pageviews[t] + 100.929315302149Logins[t] + 1214.06863848102Compendiums_Reviewed[t] + 460.479540215154Totblogs[t] -908.076783176372Shared_Compendiums[t] -48.2888621941098t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Time_in_rfc[t] =  -5464.82443688153 +  61.7588771569759Pageviews[t] +  100.929315302149Logins[t] +  1214.06863848102Compendiums_Reviewed[t] +  460.479540215154Totblogs[t] -908.076783176372Shared_Compendiums[t] -48.2888621941098t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203655&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Time_in_rfc[t] =  -5464.82443688153 +  61.7588771569759Pageviews[t] +  100.929315302149Logins[t] +  1214.06863848102Compendiums_Reviewed[t] +  460.479540215154Totblogs[t] -908.076783176372Shared_Compendiums[t] -48.2888621941098t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203655&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203655&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
Time_in_rfc[t] = -5464.82443688153 + 61.7588771569759Pageviews[t] + 100.929315302149Logins[t] + 1214.06863848102Compendiums_Reviewed[t] + 460.479540215154Totblogs[t] -908.076783176372Shared_Compendiums[t] -48.2888621941098t + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-5464.824436881537535.796956-0.72520.4689420.234471
Pageviews61.75887715697594.18944414.741500
Logins100.92931530214977.3277471.30520.1928840.096442
Compendiums_Reviewed1214.06863848102259.2214074.68354e-062e-06
Totblogs460.47954021515456.3266958.175200
Shared_Compendiums-908.076783176372683.885343-1.32780.1853110.092656
t-48.288862194109825.129246-1.92160.0556610.027831

\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) & -5464.82443688153 & 7535.796956 & -0.7252 & 0.468942 & 0.234471 \tabularnewline
Pageviews & 61.7588771569759 & 4.189444 & 14.7415 & 0 & 0 \tabularnewline
Logins & 100.929315302149 & 77.327747 & 1.3052 & 0.192884 & 0.096442 \tabularnewline
Compendiums_Reviewed & 1214.06863848102 & 259.221407 & 4.6835 & 4e-06 & 2e-06 \tabularnewline
Totblogs & 460.479540215154 & 56.326695 & 8.1752 & 0 & 0 \tabularnewline
Shared_Compendiums & -908.076783176372 & 683.885343 & -1.3278 & 0.185311 & 0.092656 \tabularnewline
t & -48.2888621941098 & 25.129246 & -1.9216 & 0.055661 & 0.027831 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203655&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]-5464.82443688153[/C][C]7535.796956[/C][C]-0.7252[/C][C]0.468942[/C][C]0.234471[/C][/ROW]
[ROW][C]Pageviews[/C][C]61.7588771569759[/C][C]4.189444[/C][C]14.7415[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Logins[/C][C]100.929315302149[/C][C]77.327747[/C][C]1.3052[/C][C]0.192884[/C][C]0.096442[/C][/ROW]
[ROW][C]Compendiums_Reviewed[/C][C]1214.06863848102[/C][C]259.221407[/C][C]4.6835[/C][C]4e-06[/C][C]2e-06[/C][/ROW]
[ROW][C]Totblogs[/C][C]460.479540215154[/C][C]56.326695[/C][C]8.1752[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Shared_Compendiums[/C][C]-908.076783176372[/C][C]683.885343[/C][C]-1.3278[/C][C]0.185311[/C][C]0.092656[/C][/ROW]
[ROW][C]t[/C][C]-48.2888621941098[/C][C]25.129246[/C][C]-1.9216[/C][C]0.055661[/C][C]0.027831[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203655&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203655&T=2

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-5464.824436881537535.796956-0.72520.4689420.234471
Pageviews61.75887715697594.18944414.741500
Logins100.92931530214977.3277471.30520.1928840.096442
Compendiums_Reviewed1214.06863848102259.2214074.68354e-062e-06
Totblogs460.47954021515456.3266958.175200
Shared_Compendiums-908.076783176372683.885343-1.32780.1853110.092656
t-48.288862194109825.129246-1.92160.0556610.027831







Multiple Linear Regression - Regression Statistics
Multiple R0.938398550822636
R-squared0.880591840186024
Adjusted R-squared0.878051241041045
F-TEST (value)346.607941645029
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28753.8776529395
Sum Squared Residuals233153505382.62

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.938398550822636 \tabularnewline
R-squared & 0.880591840186024 \tabularnewline
Adjusted R-squared & 0.878051241041045 \tabularnewline
F-TEST (value) & 346.607941645029 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 282 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 28753.8776529395 \tabularnewline
Sum Squared Residuals & 233153505382.62 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203655&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.938398550822636[/C][/ROW]
[ROW][C]R-squared[/C][C]0.880591840186024[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.878051241041045[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]346.607941645029[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]282[/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]28753.8776529395[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]233153505382.62[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203655&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203655&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.938398550822636
R-squared0.880591840186024
Adjusted R-squared0.878051241041045
F-TEST (value)346.607941645029
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28753.8776529395
Sum Squared Residuals233153505382.62







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907188180.37830253522726.6216974646
2120982130629.152051556-9647.15205155625
3176508174696.2558582731811.74414172714
4179321232854.215257663-53533.2152576633
5123185107405.85785898515779.1421410154
65274671702.8121753407-18956.8121753407
7385534297833.58606804587700.4139319549
83317043033.7689599765-9863.76895997649
9101645100323.8863878381321.11361216231
10149061161963.161416662-12902.1614166625
11165446152935.28935186512510.7106481347
12237213215991.94087667921221.0591233213
13173326178098.608198576-4772.60819857559
14133131141899.476255652-8768.47625565239
15258873241094.60084853917778.3991514609
16180083164292.29845684615790.701543154
17324799377130.006910913-52331.0069109128
18230964206237.55723843824726.4427615624
19236785215348.9149471621436.0850528401
20135473150396.574974715-14923.5749747153
21202925215883.155472245-12958.1554722451
22215147219265.528890175-4118.52889017519
23344297229308.201082898114988.798917102
24153935130097.64026814623837.3597318541
25132943167235.76949724-34292.7694972404
26174724253964.137197622-79240.1371976219
27174415214539.42394218-40124.4239421801
28225548234413.502189859-8865.50218985855
29223632191459.73477278332172.2652272169
30124817126889.682248419-2072.68224841929
31221698201125.09900610920572.9009938908
32210767195799.12654554914967.8734544509
33170266200714.086820273-30448.0868202725
34260561216224.48645330744336.5135466929
358485391035.9876339052-6182.98763390516
36294424264846.89760967729577.102390323
3710101177896.431132480723114.5688675193
38215641185476.05599333730164.944006663
39325107253116.63182944271990.3681705581
4071765806.570586688081369.42941331192
41167542162190.7940303825351.20596961761
4210640883924.896855193722483.1031448063
4396560153144.754438482-56584.7544384825
44265769255502.41592722810266.584072772
45269651244467.71948509925183.2805149015
46149112153156.508239721-4044.50823972063
47175824224150.06473908-48326.0647390796
48152871145170.8433500717700.1566499289
49111665124102.323660551-12437.3236605514
50116408192308.606025311-75900.606025311
51362301340454.58424084421846.4157591558
527880092377.536580491-13577.536580491
53183167217547.28325928-34380.2832592799
54277965319299.93146506-41334.9314650599
55150629191487.357350294-40858.3573502938
56168809166882.995800691926.00419930957
572418832917.048390596-8729.04839059595
58329267262029.54225946967237.4577405309
596502966333.4575798874-1304.45757988737
60101097100188.890886794908.109113205981
61218946225476.719586098-6530.71958609834
62244052240937.9071980853114.09280191517
63341570379386.343030414-37816.3430304137
6410359794950.0098173598646.99018264096
65233328306461.31641235-73133.3164123504
66256462242727.95941829813734.0405817022
67206161162126.86608723944034.1339127613
68311473303533.0479464157939.95205358454
69235800256566.86391465-20766.8639146505
70177939192667.767732475-14728.7677324751
71207176196942.5801109310233.4198890696
72196553155651.35914465140901.6408553489
73174184153937.29728639120246.7027136087
74143246174482.936371345-31236.936371345
75187559227128.099681365-39569.0996813653
76187681207892.724435504-20211.724435504
77119016134136.592251108-15120.5922511081
78182192194202.490703752-12010.4907037519
797356683087.8773320162-9521.87733201617
80194979186174.8355817798804.16441822139
81167488166025.2579206581462.74207934219
82143756178839.556769534-35083.556769534
83275541198656.68910638276884.3108936177
84243199202356.49597100540842.5040289955
85182999151388.56507325531610.4349267445
86135649161450.126729613-25801.1267296135
87152299158441.613952376-6142.61395237609
88120221129835.641144443-9614.64114444289
89346485283216.16436892263268.8356310783
90145790122407.78925822223382.2107417782
91193339205148.83369391-11809.8336939103
928095382766.4186907102-1813.41869071023
93122774138305.908294655-15531.9082946548
94130585132303.87230387-1718.87230387045
9511261198338.294178100414272.7058218996
96286468253267.05794187733200.942058123
97241066202559.12809996838506.8719000317
98148446266608.811511013-118162.811511013
99204713186107.23775565718605.7622443426
100182079212093.444724653-30014.4447246527
101140344140043.231695705300.768304294886
102220516229476.418865945-8960.41886594495
103243060202666.19394587840393.8060541215
104162765156257.6036710156507.39632898512
105182613177830.1341774184782.8658225817
106232138221877.95273584510260.0472641553
107265318292068.337404621-26750.3374046207
10885574114953.711094989-29379.7110949888
109310839308043.6357310252795.36426897529
110225060204497.91826419820562.0817358017
111232317233783.340680727-1466.34068072654
112144966150980.936428176-6014.93642817638
1134328769668.8830668901-26381.8830668901
114155754157096.728463651-1342.72846365126
115164709215406.34767745-50697.3476774495
116201940198072.5646973693867.43530263089
117235454221328.7950874314125.2049125703
118220801177515.26997313643285.7300268637
11999466101062.478759221-1596.47875922079
12092661130783.60715224-38122.6071522401
121133328146192.013602231-12864.0136022314
1226136197685.0247210096-36324.0247210096
123125930170607.2879254-44677.2879254
124100750138057.261477799-37307.2614777994
125224549157819.09743153166729.9025684687
1268231663207.788322730919108.2116772691
12710201087026.43303025714983.566969743
128101523132856.47929157-31333.4792915702
129243511225923.8944236517587.1055763501
1302293819693.98118013093244.01881986908
1314156646047.5590786016-4481.55907860157
132152474179203.079078205-26729.0790782053
1336185745984.069683662815872.9303163371
13499923164431.430036889-64508.4300368888
135132487162441.234898336-29954.2348983359
136317394270160.92448292247233.0755170782
1372105415277.074107975776.92589202995
138209641162971.85261620946669.1473837908
1392264854405.1062714049-31757.1062714049
1403141445093.3788664053-13679.3788664053
1414669863904.9727711918-17206.9727711918
142131698157225.220026463-25527.2200264634
1439173584309.16437543127425.83562456877
144244749248613.6188728-3864.61887280039
145184510171629.1140635312880.8859364699
14679863120834.162067306-40971.1620673056
147128423123701.1345415344721.8654584657
14897839123362.799417839-25523.7994178388
1493821442930.9957929221-4716.99579292208
150151101146630.4095880154470.59041198483
151272458239607.39099407132850.6090059292
152172494173585.476649595-1091.47664959497
153108043115211.547860165-7168.54786016462
154328107281983.63288475346123.3671152469
155250579226307.40428718324271.5957128169
156351067326119.8784347424947.1215652604
157158015125316.70118338932698.2988166108
1589886692993.54210929335872.45789070675
15985439101182.024387155-15743.0243871545
160229242222190.3832364117051.61676358891
161351619344738.8789328586880.12106714224
1628420785518.7369109775-1311.7369109775
163120445131758.511170527-11313.5111705271
164324598305278.04372783319319.9562721673
165131069155903.955771026-24834.9557710259
166204271175992.36438555928278.6356144406
167165543190822.376049178-25279.3760491776
168141722135757.8632749465964.13672505444
169116048103628.35654489612419.6434551045
170250047157865.6738971392181.3261028696
171299775278853.69161786820921.3083821319
172195838221320.113697479-25482.1136974786
173173260147897.46844381825362.5315561815
174254488238189.69723660716298.3027633928
175104389161393.456036635-57004.4560366348
176136084120660.0384614315423.9615385699
177199476222657.413959919-23181.4139599194
1789249980043.082967266212455.9170327338
179224330233109.234171359-8779.23417135909
18013578194952.335136014140828.6648639859
1817440895988.2138799834-21580.2138799834
18281240117662.265150397-36422.2651503972
183146881794.0922071875812893.9077928124
184181633173120.3713625118512.62863748918
185271856259554.64156073412301.3584392662
1867199-1853.438536480979052.43853648097
1874666028854.029626471617805.9703735284
18817547-2734.9750146034120281.9750146034
189133368134568.711304161-1200.71130416121
1909522792086.85520373493140.14479626506
191152601125123.63766089627477.3623391035
1929814679257.303996926318888.6960030737
19379619105399.057728759-25780.0577287591
19459194102345.887084884-43151.8870848835
195139942131670.0166245948271.98337540625
196118612129175.401822347-10563.4018223469
1977288077290.8898043555-4410.88980435547
1986547564587.7698387697887.230161230276
19999643124270.927431669-24627.927431669
2007196591088.2985395817-19123.2985395817
2017727275500.8086457681771.19135423205
2024928955651.9903316457-6362.99033164572
203135131112083.33842104623047.661578954
20410844698070.021827423210375.9781725768
20589746118831.893991269-29085.8939912688
2064429652244.1078196781-7948.10781967807
2077764887464.714699312-9816.71469931204
208181528126364.61818923955163.3818107609
209134019108330.29078098425688.7092190159
210124064107133.50783776716930.4921622334
2119263082697.47340800059932.52659199949
212121848105260.39890975416587.6010902455
2135291556886.0740252666-3971.07402526663
2148187263287.456313000218584.5436869998
2155898184290.8750751896-25309.8750751896
2165351564893.4003774853-11378.4003774853
2176081285793.2383648933-24981.2383648933
2185637551092.97079668235282.02920331765
2196549057866.04149238857623.95850761152
2208094945758.093595113335190.9064048867
2217630287919.4261604984-11617.4261604984
222104011129584.419388407-25573.4193884072
22398104165834.74476009-67730.7447600898
2246798965966.57522819432022.42477180567
2253098927074.65810339193914.34189660813
226135458145845.14526741-10387.1452674097
2277350460145.778025521713358.2219744783
2286312396227.683440578-33104.683440578
2296125498636.7459381946-37382.7459381946
23074914117806.712363828-42892.7123638279
2313177444217.4875738104-12443.4875738104
2328143792443.7542812955-11006.7542812955
23387186118480.379405975-31294.3794059751
2345009060007.053544266-9917.05354426601
2356574596596.9467336248-30851.9467336248
2365665364575.2075137618-7922.20751376184
23715839998416.38769038859982.6123096119
2384645563105.4848465716-16650.4848465716
2397362486036.494884923-12412.494884923
2403839559446.5638312354-21051.5638312354
2419189986598.28642091965300.71357908042
242139526164672.386789058-25146.3867890575
2435216467664.2835357771-15500.2835357771
2445156752880.9934315104-1313.99343151044
2457055173072.1120774293-2521.11207742925
2468485689102.3967189338-4246.39671893378
247102538131420.90749036-28882.9074903598
2488667856636.380047821330041.6199521787
2498570973111.268415547312597.7315844527
2503466240759.8884196653-6097.88841966526
251150580133483.36736532617096.6326346736
2529961196907.46227364822703.53772635185
253193494799.5688266740914549.4311733259
2549937395476.77821875053896.22178124952
2558623088943.4779866795-2713.47798667955
2563083719496.10627109711340.893728903
2573170640405.8961560756-8699.89615607556
2588980668961.219491965420844.7805080346
2596208846995.367922653715092.6320773463
2604015130627.67746080559523.32253919451
2612763439532.5775891423-11898.5775891423
2627699074219.28663565022770.7133643498
2633746026089.937755454211370.0622445458
2645415763234.460421342-9077.46042134205
2654986256545.7227224717-6683.72272247175
2668433771737.041607779612599.9583922204
2676417580636.722523042-16461.722523042
2685938263017.4469031351-3635.44690313511
26911930864699.718445606454608.2815543936
2707670294340.5859873435-17638.5859873435
271103425121321.684217745-17896.6842177455
2727034454823.759884483215520.2401155169
2734341032992.927781690710417.0722183093
27410483894573.604729403610264.3952705964
2756221550090.020870044112124.9791299559
2766930478841.4189343118-9537.41893431179
2775311735109.585473798218007.4145262018
278197646048.1595424570113715.840457543
2798668089886.733731699-3206.73373169905
2808410564597.608632366719507.3913676333
2817794575168.64438582042776.35561417961
2828911363033.318630258126079.6813697419
2839100583082.19954657067922.80045342942
2844024821755.769895747518492.2301042525
2856418747637.513643796716549.4863562033
2865085776662.6149993885-25805.6149993885
2875661354202.86901775142410.13098224862
2886279282277.5357673272-19485.5357673272
2897253566300.30954180186234.69045819815

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 210907 & 188180.378302535 & 22726.6216974646 \tabularnewline
2 & 120982 & 130629.152051556 & -9647.15205155625 \tabularnewline
3 & 176508 & 174696.255858273 & 1811.74414172714 \tabularnewline
4 & 179321 & 232854.215257663 & -53533.2152576633 \tabularnewline
5 & 123185 & 107405.857858985 & 15779.1421410154 \tabularnewline
6 & 52746 & 71702.8121753407 & -18956.8121753407 \tabularnewline
7 & 385534 & 297833.586068045 & 87700.4139319549 \tabularnewline
8 & 33170 & 43033.7689599765 & -9863.76895997649 \tabularnewline
9 & 101645 & 100323.886387838 & 1321.11361216231 \tabularnewline
10 & 149061 & 161963.161416662 & -12902.1614166625 \tabularnewline
11 & 165446 & 152935.289351865 & 12510.7106481347 \tabularnewline
12 & 237213 & 215991.940876679 & 21221.0591233213 \tabularnewline
13 & 173326 & 178098.608198576 & -4772.60819857559 \tabularnewline
14 & 133131 & 141899.476255652 & -8768.47625565239 \tabularnewline
15 & 258873 & 241094.600848539 & 17778.3991514609 \tabularnewline
16 & 180083 & 164292.298456846 & 15790.701543154 \tabularnewline
17 & 324799 & 377130.006910913 & -52331.0069109128 \tabularnewline
18 & 230964 & 206237.557238438 & 24726.4427615624 \tabularnewline
19 & 236785 & 215348.91494716 & 21436.0850528401 \tabularnewline
20 & 135473 & 150396.574974715 & -14923.5749747153 \tabularnewline
21 & 202925 & 215883.155472245 & -12958.1554722451 \tabularnewline
22 & 215147 & 219265.528890175 & -4118.52889017519 \tabularnewline
23 & 344297 & 229308.201082898 & 114988.798917102 \tabularnewline
24 & 153935 & 130097.640268146 & 23837.3597318541 \tabularnewline
25 & 132943 & 167235.76949724 & -34292.7694972404 \tabularnewline
26 & 174724 & 253964.137197622 & -79240.1371976219 \tabularnewline
27 & 174415 & 214539.42394218 & -40124.4239421801 \tabularnewline
28 & 225548 & 234413.502189859 & -8865.50218985855 \tabularnewline
29 & 223632 & 191459.734772783 & 32172.2652272169 \tabularnewline
30 & 124817 & 126889.682248419 & -2072.68224841929 \tabularnewline
31 & 221698 & 201125.099006109 & 20572.9009938908 \tabularnewline
32 & 210767 & 195799.126545549 & 14967.8734544509 \tabularnewline
33 & 170266 & 200714.086820273 & -30448.0868202725 \tabularnewline
34 & 260561 & 216224.486453307 & 44336.5135466929 \tabularnewline
35 & 84853 & 91035.9876339052 & -6182.98763390516 \tabularnewline
36 & 294424 & 264846.897609677 & 29577.102390323 \tabularnewline
37 & 101011 & 77896.4311324807 & 23114.5688675193 \tabularnewline
38 & 215641 & 185476.055993337 & 30164.944006663 \tabularnewline
39 & 325107 & 253116.631829442 & 71990.3681705581 \tabularnewline
40 & 7176 & 5806.57058668808 & 1369.42941331192 \tabularnewline
41 & 167542 & 162190.794030382 & 5351.20596961761 \tabularnewline
42 & 106408 & 83924.8968551937 & 22483.1031448063 \tabularnewline
43 & 96560 & 153144.754438482 & -56584.7544384825 \tabularnewline
44 & 265769 & 255502.415927228 & 10266.584072772 \tabularnewline
45 & 269651 & 244467.719485099 & 25183.2805149015 \tabularnewline
46 & 149112 & 153156.508239721 & -4044.50823972063 \tabularnewline
47 & 175824 & 224150.06473908 & -48326.0647390796 \tabularnewline
48 & 152871 & 145170.843350071 & 7700.1566499289 \tabularnewline
49 & 111665 & 124102.323660551 & -12437.3236605514 \tabularnewline
50 & 116408 & 192308.606025311 & -75900.606025311 \tabularnewline
51 & 362301 & 340454.584240844 & 21846.4157591558 \tabularnewline
52 & 78800 & 92377.536580491 & -13577.536580491 \tabularnewline
53 & 183167 & 217547.28325928 & -34380.2832592799 \tabularnewline
54 & 277965 & 319299.93146506 & -41334.9314650599 \tabularnewline
55 & 150629 & 191487.357350294 & -40858.3573502938 \tabularnewline
56 & 168809 & 166882.99580069 & 1926.00419930957 \tabularnewline
57 & 24188 & 32917.048390596 & -8729.04839059595 \tabularnewline
58 & 329267 & 262029.542259469 & 67237.4577405309 \tabularnewline
59 & 65029 & 66333.4575798874 & -1304.45757988737 \tabularnewline
60 & 101097 & 100188.890886794 & 908.109113205981 \tabularnewline
61 & 218946 & 225476.719586098 & -6530.71958609834 \tabularnewline
62 & 244052 & 240937.907198085 & 3114.09280191517 \tabularnewline
63 & 341570 & 379386.343030414 & -37816.3430304137 \tabularnewline
64 & 103597 & 94950.009817359 & 8646.99018264096 \tabularnewline
65 & 233328 & 306461.31641235 & -73133.3164123504 \tabularnewline
66 & 256462 & 242727.959418298 & 13734.0405817022 \tabularnewline
67 & 206161 & 162126.866087239 & 44034.1339127613 \tabularnewline
68 & 311473 & 303533.047946415 & 7939.95205358454 \tabularnewline
69 & 235800 & 256566.86391465 & -20766.8639146505 \tabularnewline
70 & 177939 & 192667.767732475 & -14728.7677324751 \tabularnewline
71 & 207176 & 196942.58011093 & 10233.4198890696 \tabularnewline
72 & 196553 & 155651.359144651 & 40901.6408553489 \tabularnewline
73 & 174184 & 153937.297286391 & 20246.7027136087 \tabularnewline
74 & 143246 & 174482.936371345 & -31236.936371345 \tabularnewline
75 & 187559 & 227128.099681365 & -39569.0996813653 \tabularnewline
76 & 187681 & 207892.724435504 & -20211.724435504 \tabularnewline
77 & 119016 & 134136.592251108 & -15120.5922511081 \tabularnewline
78 & 182192 & 194202.490703752 & -12010.4907037519 \tabularnewline
79 & 73566 & 83087.8773320162 & -9521.87733201617 \tabularnewline
80 & 194979 & 186174.835581779 & 8804.16441822139 \tabularnewline
81 & 167488 & 166025.257920658 & 1462.74207934219 \tabularnewline
82 & 143756 & 178839.556769534 & -35083.556769534 \tabularnewline
83 & 275541 & 198656.689106382 & 76884.3108936177 \tabularnewline
84 & 243199 & 202356.495971005 & 40842.5040289955 \tabularnewline
85 & 182999 & 151388.565073255 & 31610.4349267445 \tabularnewline
86 & 135649 & 161450.126729613 & -25801.1267296135 \tabularnewline
87 & 152299 & 158441.613952376 & -6142.61395237609 \tabularnewline
88 & 120221 & 129835.641144443 & -9614.64114444289 \tabularnewline
89 & 346485 & 283216.164368922 & 63268.8356310783 \tabularnewline
90 & 145790 & 122407.789258222 & 23382.2107417782 \tabularnewline
91 & 193339 & 205148.83369391 & -11809.8336939103 \tabularnewline
92 & 80953 & 82766.4186907102 & -1813.41869071023 \tabularnewline
93 & 122774 & 138305.908294655 & -15531.9082946548 \tabularnewline
94 & 130585 & 132303.87230387 & -1718.87230387045 \tabularnewline
95 & 112611 & 98338.2941781004 & 14272.7058218996 \tabularnewline
96 & 286468 & 253267.057941877 & 33200.942058123 \tabularnewline
97 & 241066 & 202559.128099968 & 38506.8719000317 \tabularnewline
98 & 148446 & 266608.811511013 & -118162.811511013 \tabularnewline
99 & 204713 & 186107.237755657 & 18605.7622443426 \tabularnewline
100 & 182079 & 212093.444724653 & -30014.4447246527 \tabularnewline
101 & 140344 & 140043.231695705 & 300.768304294886 \tabularnewline
102 & 220516 & 229476.418865945 & -8960.41886594495 \tabularnewline
103 & 243060 & 202666.193945878 & 40393.8060541215 \tabularnewline
104 & 162765 & 156257.603671015 & 6507.39632898512 \tabularnewline
105 & 182613 & 177830.134177418 & 4782.8658225817 \tabularnewline
106 & 232138 & 221877.952735845 & 10260.0472641553 \tabularnewline
107 & 265318 & 292068.337404621 & -26750.3374046207 \tabularnewline
108 & 85574 & 114953.711094989 & -29379.7110949888 \tabularnewline
109 & 310839 & 308043.635731025 & 2795.36426897529 \tabularnewline
110 & 225060 & 204497.918264198 & 20562.0817358017 \tabularnewline
111 & 232317 & 233783.340680727 & -1466.34068072654 \tabularnewline
112 & 144966 & 150980.936428176 & -6014.93642817638 \tabularnewline
113 & 43287 & 69668.8830668901 & -26381.8830668901 \tabularnewline
114 & 155754 & 157096.728463651 & -1342.72846365126 \tabularnewline
115 & 164709 & 215406.34767745 & -50697.3476774495 \tabularnewline
116 & 201940 & 198072.564697369 & 3867.43530263089 \tabularnewline
117 & 235454 & 221328.79508743 & 14125.2049125703 \tabularnewline
118 & 220801 & 177515.269973136 & 43285.7300268637 \tabularnewline
119 & 99466 & 101062.478759221 & -1596.47875922079 \tabularnewline
120 & 92661 & 130783.60715224 & -38122.6071522401 \tabularnewline
121 & 133328 & 146192.013602231 & -12864.0136022314 \tabularnewline
122 & 61361 & 97685.0247210096 & -36324.0247210096 \tabularnewline
123 & 125930 & 170607.2879254 & -44677.2879254 \tabularnewline
124 & 100750 & 138057.261477799 & -37307.2614777994 \tabularnewline
125 & 224549 & 157819.097431531 & 66729.9025684687 \tabularnewline
126 & 82316 & 63207.7883227309 & 19108.2116772691 \tabularnewline
127 & 102010 & 87026.433030257 & 14983.566969743 \tabularnewline
128 & 101523 & 132856.47929157 & -31333.4792915702 \tabularnewline
129 & 243511 & 225923.89442365 & 17587.1055763501 \tabularnewline
130 & 22938 & 19693.9811801309 & 3244.01881986908 \tabularnewline
131 & 41566 & 46047.5590786016 & -4481.55907860157 \tabularnewline
132 & 152474 & 179203.079078205 & -26729.0790782053 \tabularnewline
133 & 61857 & 45984.0696836628 & 15872.9303163371 \tabularnewline
134 & 99923 & 164431.430036889 & -64508.4300368888 \tabularnewline
135 & 132487 & 162441.234898336 & -29954.2348983359 \tabularnewline
136 & 317394 & 270160.924482922 & 47233.0755170782 \tabularnewline
137 & 21054 & 15277.07410797 & 5776.92589202995 \tabularnewline
138 & 209641 & 162971.852616209 & 46669.1473837908 \tabularnewline
139 & 22648 & 54405.1062714049 & -31757.1062714049 \tabularnewline
140 & 31414 & 45093.3788664053 & -13679.3788664053 \tabularnewline
141 & 46698 & 63904.9727711918 & -17206.9727711918 \tabularnewline
142 & 131698 & 157225.220026463 & -25527.2200264634 \tabularnewline
143 & 91735 & 84309.1643754312 & 7425.83562456877 \tabularnewline
144 & 244749 & 248613.6188728 & -3864.61887280039 \tabularnewline
145 & 184510 & 171629.11406353 & 12880.8859364699 \tabularnewline
146 & 79863 & 120834.162067306 & -40971.1620673056 \tabularnewline
147 & 128423 & 123701.134541534 & 4721.8654584657 \tabularnewline
148 & 97839 & 123362.799417839 & -25523.7994178388 \tabularnewline
149 & 38214 & 42930.9957929221 & -4716.99579292208 \tabularnewline
150 & 151101 & 146630.409588015 & 4470.59041198483 \tabularnewline
151 & 272458 & 239607.390994071 & 32850.6090059292 \tabularnewline
152 & 172494 & 173585.476649595 & -1091.47664959497 \tabularnewline
153 & 108043 & 115211.547860165 & -7168.54786016462 \tabularnewline
154 & 328107 & 281983.632884753 & 46123.3671152469 \tabularnewline
155 & 250579 & 226307.404287183 & 24271.5957128169 \tabularnewline
156 & 351067 & 326119.87843474 & 24947.1215652604 \tabularnewline
157 & 158015 & 125316.701183389 & 32698.2988166108 \tabularnewline
158 & 98866 & 92993.5421092933 & 5872.45789070675 \tabularnewline
159 & 85439 & 101182.024387155 & -15743.0243871545 \tabularnewline
160 & 229242 & 222190.383236411 & 7051.61676358891 \tabularnewline
161 & 351619 & 344738.878932858 & 6880.12106714224 \tabularnewline
162 & 84207 & 85518.7369109775 & -1311.7369109775 \tabularnewline
163 & 120445 & 131758.511170527 & -11313.5111705271 \tabularnewline
164 & 324598 & 305278.043727833 & 19319.9562721673 \tabularnewline
165 & 131069 & 155903.955771026 & -24834.9557710259 \tabularnewline
166 & 204271 & 175992.364385559 & 28278.6356144406 \tabularnewline
167 & 165543 & 190822.376049178 & -25279.3760491776 \tabularnewline
168 & 141722 & 135757.863274946 & 5964.13672505444 \tabularnewline
169 & 116048 & 103628.356544896 & 12419.6434551045 \tabularnewline
170 & 250047 & 157865.67389713 & 92181.3261028696 \tabularnewline
171 & 299775 & 278853.691617868 & 20921.3083821319 \tabularnewline
172 & 195838 & 221320.113697479 & -25482.1136974786 \tabularnewline
173 & 173260 & 147897.468443818 & 25362.5315561815 \tabularnewline
174 & 254488 & 238189.697236607 & 16298.3027633928 \tabularnewline
175 & 104389 & 161393.456036635 & -57004.4560366348 \tabularnewline
176 & 136084 & 120660.03846143 & 15423.9615385699 \tabularnewline
177 & 199476 & 222657.413959919 & -23181.4139599194 \tabularnewline
178 & 92499 & 80043.0829672662 & 12455.9170327338 \tabularnewline
179 & 224330 & 233109.234171359 & -8779.23417135909 \tabularnewline
180 & 135781 & 94952.3351360141 & 40828.6648639859 \tabularnewline
181 & 74408 & 95988.2138799834 & -21580.2138799834 \tabularnewline
182 & 81240 & 117662.265150397 & -36422.2651503972 \tabularnewline
183 & 14688 & 1794.09220718758 & 12893.9077928124 \tabularnewline
184 & 181633 & 173120.371362511 & 8512.62863748918 \tabularnewline
185 & 271856 & 259554.641560734 & 12301.3584392662 \tabularnewline
186 & 7199 & -1853.43853648097 & 9052.43853648097 \tabularnewline
187 & 46660 & 28854.0296264716 & 17805.9703735284 \tabularnewline
188 & 17547 & -2734.97501460341 & 20281.9750146034 \tabularnewline
189 & 133368 & 134568.711304161 & -1200.71130416121 \tabularnewline
190 & 95227 & 92086.8552037349 & 3140.14479626506 \tabularnewline
191 & 152601 & 125123.637660896 & 27477.3623391035 \tabularnewline
192 & 98146 & 79257.3039969263 & 18888.6960030737 \tabularnewline
193 & 79619 & 105399.057728759 & -25780.0577287591 \tabularnewline
194 & 59194 & 102345.887084884 & -43151.8870848835 \tabularnewline
195 & 139942 & 131670.016624594 & 8271.98337540625 \tabularnewline
196 & 118612 & 129175.401822347 & -10563.4018223469 \tabularnewline
197 & 72880 & 77290.8898043555 & -4410.88980435547 \tabularnewline
198 & 65475 & 64587.7698387697 & 887.230161230276 \tabularnewline
199 & 99643 & 124270.927431669 & -24627.927431669 \tabularnewline
200 & 71965 & 91088.2985395817 & -19123.2985395817 \tabularnewline
201 & 77272 & 75500.808645768 & 1771.19135423205 \tabularnewline
202 & 49289 & 55651.9903316457 & -6362.99033164572 \tabularnewline
203 & 135131 & 112083.338421046 & 23047.661578954 \tabularnewline
204 & 108446 & 98070.0218274232 & 10375.9781725768 \tabularnewline
205 & 89746 & 118831.893991269 & -29085.8939912688 \tabularnewline
206 & 44296 & 52244.1078196781 & -7948.10781967807 \tabularnewline
207 & 77648 & 87464.714699312 & -9816.71469931204 \tabularnewline
208 & 181528 & 126364.618189239 & 55163.3818107609 \tabularnewline
209 & 134019 & 108330.290780984 & 25688.7092190159 \tabularnewline
210 & 124064 & 107133.507837767 & 16930.4921622334 \tabularnewline
211 & 92630 & 82697.4734080005 & 9932.52659199949 \tabularnewline
212 & 121848 & 105260.398909754 & 16587.6010902455 \tabularnewline
213 & 52915 & 56886.0740252666 & -3971.07402526663 \tabularnewline
214 & 81872 & 63287.4563130002 & 18584.5436869998 \tabularnewline
215 & 58981 & 84290.8750751896 & -25309.8750751896 \tabularnewline
216 & 53515 & 64893.4003774853 & -11378.4003774853 \tabularnewline
217 & 60812 & 85793.2383648933 & -24981.2383648933 \tabularnewline
218 & 56375 & 51092.9707966823 & 5282.02920331765 \tabularnewline
219 & 65490 & 57866.0414923885 & 7623.95850761152 \tabularnewline
220 & 80949 & 45758.0935951133 & 35190.9064048867 \tabularnewline
221 & 76302 & 87919.4261604984 & -11617.4261604984 \tabularnewline
222 & 104011 & 129584.419388407 & -25573.4193884072 \tabularnewline
223 & 98104 & 165834.74476009 & -67730.7447600898 \tabularnewline
224 & 67989 & 65966.5752281943 & 2022.42477180567 \tabularnewline
225 & 30989 & 27074.6581033919 & 3914.34189660813 \tabularnewline
226 & 135458 & 145845.14526741 & -10387.1452674097 \tabularnewline
227 & 73504 & 60145.7780255217 & 13358.2219744783 \tabularnewline
228 & 63123 & 96227.683440578 & -33104.683440578 \tabularnewline
229 & 61254 & 98636.7459381946 & -37382.7459381946 \tabularnewline
230 & 74914 & 117806.712363828 & -42892.7123638279 \tabularnewline
231 & 31774 & 44217.4875738104 & -12443.4875738104 \tabularnewline
232 & 81437 & 92443.7542812955 & -11006.7542812955 \tabularnewline
233 & 87186 & 118480.379405975 & -31294.3794059751 \tabularnewline
234 & 50090 & 60007.053544266 & -9917.05354426601 \tabularnewline
235 & 65745 & 96596.9467336248 & -30851.9467336248 \tabularnewline
236 & 56653 & 64575.2075137618 & -7922.20751376184 \tabularnewline
237 & 158399 & 98416.387690388 & 59982.6123096119 \tabularnewline
238 & 46455 & 63105.4848465716 & -16650.4848465716 \tabularnewline
239 & 73624 & 86036.494884923 & -12412.494884923 \tabularnewline
240 & 38395 & 59446.5638312354 & -21051.5638312354 \tabularnewline
241 & 91899 & 86598.2864209196 & 5300.71357908042 \tabularnewline
242 & 139526 & 164672.386789058 & -25146.3867890575 \tabularnewline
243 & 52164 & 67664.2835357771 & -15500.2835357771 \tabularnewline
244 & 51567 & 52880.9934315104 & -1313.99343151044 \tabularnewline
245 & 70551 & 73072.1120774293 & -2521.11207742925 \tabularnewline
246 & 84856 & 89102.3967189338 & -4246.39671893378 \tabularnewline
247 & 102538 & 131420.90749036 & -28882.9074903598 \tabularnewline
248 & 86678 & 56636.3800478213 & 30041.6199521787 \tabularnewline
249 & 85709 & 73111.2684155473 & 12597.7315844527 \tabularnewline
250 & 34662 & 40759.8884196653 & -6097.88841966526 \tabularnewline
251 & 150580 & 133483.367365326 & 17096.6326346736 \tabularnewline
252 & 99611 & 96907.4622736482 & 2703.53772635185 \tabularnewline
253 & 19349 & 4799.56882667409 & 14549.4311733259 \tabularnewline
254 & 99373 & 95476.7782187505 & 3896.22178124952 \tabularnewline
255 & 86230 & 88943.4779866795 & -2713.47798667955 \tabularnewline
256 & 30837 & 19496.106271097 & 11340.893728903 \tabularnewline
257 & 31706 & 40405.8961560756 & -8699.89615607556 \tabularnewline
258 & 89806 & 68961.2194919654 & 20844.7805080346 \tabularnewline
259 & 62088 & 46995.3679226537 & 15092.6320773463 \tabularnewline
260 & 40151 & 30627.6774608055 & 9523.32253919451 \tabularnewline
261 & 27634 & 39532.5775891423 & -11898.5775891423 \tabularnewline
262 & 76990 & 74219.2866356502 & 2770.7133643498 \tabularnewline
263 & 37460 & 26089.9377554542 & 11370.0622445458 \tabularnewline
264 & 54157 & 63234.460421342 & -9077.46042134205 \tabularnewline
265 & 49862 & 56545.7227224717 & -6683.72272247175 \tabularnewline
266 & 84337 & 71737.0416077796 & 12599.9583922204 \tabularnewline
267 & 64175 & 80636.722523042 & -16461.722523042 \tabularnewline
268 & 59382 & 63017.4469031351 & -3635.44690313511 \tabularnewline
269 & 119308 & 64699.7184456064 & 54608.2815543936 \tabularnewline
270 & 76702 & 94340.5859873435 & -17638.5859873435 \tabularnewline
271 & 103425 & 121321.684217745 & -17896.6842177455 \tabularnewline
272 & 70344 & 54823.7598844832 & 15520.2401155169 \tabularnewline
273 & 43410 & 32992.9277816907 & 10417.0722183093 \tabularnewline
274 & 104838 & 94573.6047294036 & 10264.3952705964 \tabularnewline
275 & 62215 & 50090.0208700441 & 12124.9791299559 \tabularnewline
276 & 69304 & 78841.4189343118 & -9537.41893431179 \tabularnewline
277 & 53117 & 35109.5854737982 & 18007.4145262018 \tabularnewline
278 & 19764 & 6048.15954245701 & 13715.840457543 \tabularnewline
279 & 86680 & 89886.733731699 & -3206.73373169905 \tabularnewline
280 & 84105 & 64597.6086323667 & 19507.3913676333 \tabularnewline
281 & 77945 & 75168.6443858204 & 2776.35561417961 \tabularnewline
282 & 89113 & 63033.3186302581 & 26079.6813697419 \tabularnewline
283 & 91005 & 83082.1995465706 & 7922.80045342942 \tabularnewline
284 & 40248 & 21755.7698957475 & 18492.2301042525 \tabularnewline
285 & 64187 & 47637.5136437967 & 16549.4863562033 \tabularnewline
286 & 50857 & 76662.6149993885 & -25805.6149993885 \tabularnewline
287 & 56613 & 54202.8690177514 & 2410.13098224862 \tabularnewline
288 & 62792 & 82277.5357673272 & -19485.5357673272 \tabularnewline
289 & 72535 & 66300.3095418018 & 6234.69045819815 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203655&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]210907[/C][C]188180.378302535[/C][C]22726.6216974646[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]130629.152051556[/C][C]-9647.15205155625[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]174696.255858273[/C][C]1811.74414172714[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]232854.215257663[/C][C]-53533.2152576633[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]107405.857858985[/C][C]15779.1421410154[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]71702.8121753407[/C][C]-18956.8121753407[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]297833.586068045[/C][C]87700.4139319549[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]43033.7689599765[/C][C]-9863.76895997649[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]100323.886387838[/C][C]1321.11361216231[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]161963.161416662[/C][C]-12902.1614166625[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]152935.289351865[/C][C]12510.7106481347[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]215991.940876679[/C][C]21221.0591233213[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]178098.608198576[/C][C]-4772.60819857559[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]141899.476255652[/C][C]-8768.47625565239[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]241094.600848539[/C][C]17778.3991514609[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]164292.298456846[/C][C]15790.701543154[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]377130.006910913[/C][C]-52331.0069109128[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]206237.557238438[/C][C]24726.4427615624[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]215348.91494716[/C][C]21436.0850528401[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]150396.574974715[/C][C]-14923.5749747153[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]215883.155472245[/C][C]-12958.1554722451[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]219265.528890175[/C][C]-4118.52889017519[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]229308.201082898[/C][C]114988.798917102[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]130097.640268146[/C][C]23837.3597318541[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]167235.76949724[/C][C]-34292.7694972404[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]253964.137197622[/C][C]-79240.1371976219[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]214539.42394218[/C][C]-40124.4239421801[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]234413.502189859[/C][C]-8865.50218985855[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]191459.734772783[/C][C]32172.2652272169[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]126889.682248419[/C][C]-2072.68224841929[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]201125.099006109[/C][C]20572.9009938908[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]195799.126545549[/C][C]14967.8734544509[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]200714.086820273[/C][C]-30448.0868202725[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]216224.486453307[/C][C]44336.5135466929[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]91035.9876339052[/C][C]-6182.98763390516[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]264846.897609677[/C][C]29577.102390323[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]77896.4311324807[/C][C]23114.5688675193[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]185476.055993337[/C][C]30164.944006663[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]253116.631829442[/C][C]71990.3681705581[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]5806.57058668808[/C][C]1369.42941331192[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]162190.794030382[/C][C]5351.20596961761[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]83924.8968551937[/C][C]22483.1031448063[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]153144.754438482[/C][C]-56584.7544384825[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]255502.415927228[/C][C]10266.584072772[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]244467.719485099[/C][C]25183.2805149015[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]153156.508239721[/C][C]-4044.50823972063[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]224150.06473908[/C][C]-48326.0647390796[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]145170.843350071[/C][C]7700.1566499289[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]124102.323660551[/C][C]-12437.3236605514[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]192308.606025311[/C][C]-75900.606025311[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]340454.584240844[/C][C]21846.4157591558[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]92377.536580491[/C][C]-13577.536580491[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]217547.28325928[/C][C]-34380.2832592799[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]319299.93146506[/C][C]-41334.9314650599[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]191487.357350294[/C][C]-40858.3573502938[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]166882.99580069[/C][C]1926.00419930957[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]32917.048390596[/C][C]-8729.04839059595[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]262029.542259469[/C][C]67237.4577405309[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]66333.4575798874[/C][C]-1304.45757988737[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]100188.890886794[/C][C]908.109113205981[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]225476.719586098[/C][C]-6530.71958609834[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]240937.907198085[/C][C]3114.09280191517[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]379386.343030414[/C][C]-37816.3430304137[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]94950.009817359[/C][C]8646.99018264096[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]306461.31641235[/C][C]-73133.3164123504[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]242727.959418298[/C][C]13734.0405817022[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]162126.866087239[/C][C]44034.1339127613[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]303533.047946415[/C][C]7939.95205358454[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]256566.86391465[/C][C]-20766.8639146505[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]192667.767732475[/C][C]-14728.7677324751[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]196942.58011093[/C][C]10233.4198890696[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]155651.359144651[/C][C]40901.6408553489[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]153937.297286391[/C][C]20246.7027136087[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]174482.936371345[/C][C]-31236.936371345[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]227128.099681365[/C][C]-39569.0996813653[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]207892.724435504[/C][C]-20211.724435504[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]134136.592251108[/C][C]-15120.5922511081[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]194202.490703752[/C][C]-12010.4907037519[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]83087.8773320162[/C][C]-9521.87733201617[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]186174.835581779[/C][C]8804.16441822139[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]166025.257920658[/C][C]1462.74207934219[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]178839.556769534[/C][C]-35083.556769534[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]198656.689106382[/C][C]76884.3108936177[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]202356.495971005[/C][C]40842.5040289955[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]151388.565073255[/C][C]31610.4349267445[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]161450.126729613[/C][C]-25801.1267296135[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]158441.613952376[/C][C]-6142.61395237609[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]129835.641144443[/C][C]-9614.64114444289[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]283216.164368922[/C][C]63268.8356310783[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]122407.789258222[/C][C]23382.2107417782[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]205148.83369391[/C][C]-11809.8336939103[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]82766.4186907102[/C][C]-1813.41869071023[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]138305.908294655[/C][C]-15531.9082946548[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]132303.87230387[/C][C]-1718.87230387045[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]98338.2941781004[/C][C]14272.7058218996[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]253267.057941877[/C][C]33200.942058123[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]202559.128099968[/C][C]38506.8719000317[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]266608.811511013[/C][C]-118162.811511013[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]186107.237755657[/C][C]18605.7622443426[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]212093.444724653[/C][C]-30014.4447246527[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]140043.231695705[/C][C]300.768304294886[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]229476.418865945[/C][C]-8960.41886594495[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]202666.193945878[/C][C]40393.8060541215[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]156257.603671015[/C][C]6507.39632898512[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]177830.134177418[/C][C]4782.8658225817[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]221877.952735845[/C][C]10260.0472641553[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]292068.337404621[/C][C]-26750.3374046207[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]114953.711094989[/C][C]-29379.7110949888[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]308043.635731025[/C][C]2795.36426897529[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]204497.918264198[/C][C]20562.0817358017[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]233783.340680727[/C][C]-1466.34068072654[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]150980.936428176[/C][C]-6014.93642817638[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]69668.8830668901[/C][C]-26381.8830668901[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]157096.728463651[/C][C]-1342.72846365126[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]215406.34767745[/C][C]-50697.3476774495[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]198072.564697369[/C][C]3867.43530263089[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]221328.79508743[/C][C]14125.2049125703[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]177515.269973136[/C][C]43285.7300268637[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]101062.478759221[/C][C]-1596.47875922079[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]130783.60715224[/C][C]-38122.6071522401[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]146192.013602231[/C][C]-12864.0136022314[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]97685.0247210096[/C][C]-36324.0247210096[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]170607.2879254[/C][C]-44677.2879254[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]138057.261477799[/C][C]-37307.2614777994[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]157819.097431531[/C][C]66729.9025684687[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]63207.7883227309[/C][C]19108.2116772691[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]87026.433030257[/C][C]14983.566969743[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]132856.47929157[/C][C]-31333.4792915702[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]225923.89442365[/C][C]17587.1055763501[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]19693.9811801309[/C][C]3244.01881986908[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]46047.5590786016[/C][C]-4481.55907860157[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]179203.079078205[/C][C]-26729.0790782053[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]45984.0696836628[/C][C]15872.9303163371[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]164431.430036889[/C][C]-64508.4300368888[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]162441.234898336[/C][C]-29954.2348983359[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]270160.924482922[/C][C]47233.0755170782[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]15277.07410797[/C][C]5776.92589202995[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]162971.852616209[/C][C]46669.1473837908[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]54405.1062714049[/C][C]-31757.1062714049[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]45093.3788664053[/C][C]-13679.3788664053[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]63904.9727711918[/C][C]-17206.9727711918[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]157225.220026463[/C][C]-25527.2200264634[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]84309.1643754312[/C][C]7425.83562456877[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]248613.6188728[/C][C]-3864.61887280039[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]171629.11406353[/C][C]12880.8859364699[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]120834.162067306[/C][C]-40971.1620673056[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]123701.134541534[/C][C]4721.8654584657[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]123362.799417839[/C][C]-25523.7994178388[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]42930.9957929221[/C][C]-4716.99579292208[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]146630.409588015[/C][C]4470.59041198483[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]239607.390994071[/C][C]32850.6090059292[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]173585.476649595[/C][C]-1091.47664959497[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]115211.547860165[/C][C]-7168.54786016462[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]281983.632884753[/C][C]46123.3671152469[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]226307.404287183[/C][C]24271.5957128169[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]326119.87843474[/C][C]24947.1215652604[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]125316.701183389[/C][C]32698.2988166108[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]92993.5421092933[/C][C]5872.45789070675[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]101182.024387155[/C][C]-15743.0243871545[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]222190.383236411[/C][C]7051.61676358891[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]344738.878932858[/C][C]6880.12106714224[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]85518.7369109775[/C][C]-1311.7369109775[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]131758.511170527[/C][C]-11313.5111705271[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]305278.043727833[/C][C]19319.9562721673[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]155903.955771026[/C][C]-24834.9557710259[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]175992.364385559[/C][C]28278.6356144406[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]190822.376049178[/C][C]-25279.3760491776[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]135757.863274946[/C][C]5964.13672505444[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]103628.356544896[/C][C]12419.6434551045[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]157865.67389713[/C][C]92181.3261028696[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]278853.691617868[/C][C]20921.3083821319[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]221320.113697479[/C][C]-25482.1136974786[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]147897.468443818[/C][C]25362.5315561815[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]238189.697236607[/C][C]16298.3027633928[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]161393.456036635[/C][C]-57004.4560366348[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]120660.03846143[/C][C]15423.9615385699[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]222657.413959919[/C][C]-23181.4139599194[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]80043.0829672662[/C][C]12455.9170327338[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]233109.234171359[/C][C]-8779.23417135909[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]94952.3351360141[/C][C]40828.6648639859[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]95988.2138799834[/C][C]-21580.2138799834[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]117662.265150397[/C][C]-36422.2651503972[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]1794.09220718758[/C][C]12893.9077928124[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]173120.371362511[/C][C]8512.62863748918[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]259554.641560734[/C][C]12301.3584392662[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]-1853.43853648097[/C][C]9052.43853648097[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]28854.0296264716[/C][C]17805.9703735284[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]-2734.97501460341[/C][C]20281.9750146034[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]134568.711304161[/C][C]-1200.71130416121[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]92086.8552037349[/C][C]3140.14479626506[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]125123.637660896[/C][C]27477.3623391035[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]79257.3039969263[/C][C]18888.6960030737[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]105399.057728759[/C][C]-25780.0577287591[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]102345.887084884[/C][C]-43151.8870848835[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]131670.016624594[/C][C]8271.98337540625[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]129175.401822347[/C][C]-10563.4018223469[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]77290.8898043555[/C][C]-4410.88980435547[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]64587.7698387697[/C][C]887.230161230276[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]124270.927431669[/C][C]-24627.927431669[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]91088.2985395817[/C][C]-19123.2985395817[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]75500.808645768[/C][C]1771.19135423205[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]55651.9903316457[/C][C]-6362.99033164572[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]112083.338421046[/C][C]23047.661578954[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]98070.0218274232[/C][C]10375.9781725768[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]118831.893991269[/C][C]-29085.8939912688[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]52244.1078196781[/C][C]-7948.10781967807[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]87464.714699312[/C][C]-9816.71469931204[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]126364.618189239[/C][C]55163.3818107609[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]108330.290780984[/C][C]25688.7092190159[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]107133.507837767[/C][C]16930.4921622334[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]82697.4734080005[/C][C]9932.52659199949[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]105260.398909754[/C][C]16587.6010902455[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]56886.0740252666[/C][C]-3971.07402526663[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]63287.4563130002[/C][C]18584.5436869998[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]84290.8750751896[/C][C]-25309.8750751896[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]64893.4003774853[/C][C]-11378.4003774853[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]85793.2383648933[/C][C]-24981.2383648933[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]51092.9707966823[/C][C]5282.02920331765[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]57866.0414923885[/C][C]7623.95850761152[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]45758.0935951133[/C][C]35190.9064048867[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]87919.4261604984[/C][C]-11617.4261604984[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]129584.419388407[/C][C]-25573.4193884072[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]165834.74476009[/C][C]-67730.7447600898[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]65966.5752281943[/C][C]2022.42477180567[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]27074.6581033919[/C][C]3914.34189660813[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]145845.14526741[/C][C]-10387.1452674097[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]60145.7780255217[/C][C]13358.2219744783[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]96227.683440578[/C][C]-33104.683440578[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]98636.7459381946[/C][C]-37382.7459381946[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]117806.712363828[/C][C]-42892.7123638279[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]44217.4875738104[/C][C]-12443.4875738104[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]92443.7542812955[/C][C]-11006.7542812955[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]118480.379405975[/C][C]-31294.3794059751[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]60007.053544266[/C][C]-9917.05354426601[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]96596.9467336248[/C][C]-30851.9467336248[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]64575.2075137618[/C][C]-7922.20751376184[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]98416.387690388[/C][C]59982.6123096119[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]63105.4848465716[/C][C]-16650.4848465716[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]86036.494884923[/C][C]-12412.494884923[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]59446.5638312354[/C][C]-21051.5638312354[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]86598.2864209196[/C][C]5300.71357908042[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]164672.386789058[/C][C]-25146.3867890575[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]67664.2835357771[/C][C]-15500.2835357771[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]52880.9934315104[/C][C]-1313.99343151044[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]73072.1120774293[/C][C]-2521.11207742925[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]89102.3967189338[/C][C]-4246.39671893378[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]131420.90749036[/C][C]-28882.9074903598[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]56636.3800478213[/C][C]30041.6199521787[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]73111.2684155473[/C][C]12597.7315844527[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]40759.8884196653[/C][C]-6097.88841966526[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]133483.367365326[/C][C]17096.6326346736[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]96907.4622736482[/C][C]2703.53772635185[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]4799.56882667409[/C][C]14549.4311733259[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]95476.7782187505[/C][C]3896.22178124952[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]88943.4779866795[/C][C]-2713.47798667955[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]19496.106271097[/C][C]11340.893728903[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]40405.8961560756[/C][C]-8699.89615607556[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]68961.2194919654[/C][C]20844.7805080346[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]46995.3679226537[/C][C]15092.6320773463[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]30627.6774608055[/C][C]9523.32253919451[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]39532.5775891423[/C][C]-11898.5775891423[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]74219.2866356502[/C][C]2770.7133643498[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]26089.9377554542[/C][C]11370.0622445458[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]63234.460421342[/C][C]-9077.46042134205[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]56545.7227224717[/C][C]-6683.72272247175[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]71737.0416077796[/C][C]12599.9583922204[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]80636.722523042[/C][C]-16461.722523042[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]63017.4469031351[/C][C]-3635.44690313511[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]64699.7184456064[/C][C]54608.2815543936[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]94340.5859873435[/C][C]-17638.5859873435[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]121321.684217745[/C][C]-17896.6842177455[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]54823.7598844832[/C][C]15520.2401155169[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]32992.9277816907[/C][C]10417.0722183093[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]94573.6047294036[/C][C]10264.3952705964[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]50090.0208700441[/C][C]12124.9791299559[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]78841.4189343118[/C][C]-9537.41893431179[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]35109.5854737982[/C][C]18007.4145262018[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]6048.15954245701[/C][C]13715.840457543[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]89886.733731699[/C][C]-3206.73373169905[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]64597.6086323667[/C][C]19507.3913676333[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]75168.6443858204[/C][C]2776.35561417961[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]63033.3186302581[/C][C]26079.6813697419[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]83082.1995465706[/C][C]7922.80045342942[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]21755.7698957475[/C][C]18492.2301042525[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]47637.5136437967[/C][C]16549.4863562033[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]76662.6149993885[/C][C]-25805.6149993885[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]54202.8690177514[/C][C]2410.13098224862[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]82277.5357673272[/C][C]-19485.5357673272[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]66300.3095418018[/C][C]6234.69045819815[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203655&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203655&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907188180.37830253522726.6216974646
2120982130629.152051556-9647.15205155625
3176508174696.2558582731811.74414172714
4179321232854.215257663-53533.2152576633
5123185107405.85785898515779.1421410154
65274671702.8121753407-18956.8121753407
7385534297833.58606804587700.4139319549
83317043033.7689599765-9863.76895997649
9101645100323.8863878381321.11361216231
10149061161963.161416662-12902.1614166625
11165446152935.28935186512510.7106481347
12237213215991.94087667921221.0591233213
13173326178098.608198576-4772.60819857559
14133131141899.476255652-8768.47625565239
15258873241094.60084853917778.3991514609
16180083164292.29845684615790.701543154
17324799377130.006910913-52331.0069109128
18230964206237.55723843824726.4427615624
19236785215348.9149471621436.0850528401
20135473150396.574974715-14923.5749747153
21202925215883.155472245-12958.1554722451
22215147219265.528890175-4118.52889017519
23344297229308.201082898114988.798917102
24153935130097.64026814623837.3597318541
25132943167235.76949724-34292.7694972404
26174724253964.137197622-79240.1371976219
27174415214539.42394218-40124.4239421801
28225548234413.502189859-8865.50218985855
29223632191459.73477278332172.2652272169
30124817126889.682248419-2072.68224841929
31221698201125.09900610920572.9009938908
32210767195799.12654554914967.8734544509
33170266200714.086820273-30448.0868202725
34260561216224.48645330744336.5135466929
358485391035.9876339052-6182.98763390516
36294424264846.89760967729577.102390323
3710101177896.431132480723114.5688675193
38215641185476.05599333730164.944006663
39325107253116.63182944271990.3681705581
4071765806.570586688081369.42941331192
41167542162190.7940303825351.20596961761
4210640883924.896855193722483.1031448063
4396560153144.754438482-56584.7544384825
44265769255502.41592722810266.584072772
45269651244467.71948509925183.2805149015
46149112153156.508239721-4044.50823972063
47175824224150.06473908-48326.0647390796
48152871145170.8433500717700.1566499289
49111665124102.323660551-12437.3236605514
50116408192308.606025311-75900.606025311
51362301340454.58424084421846.4157591558
527880092377.536580491-13577.536580491
53183167217547.28325928-34380.2832592799
54277965319299.93146506-41334.9314650599
55150629191487.357350294-40858.3573502938
56168809166882.995800691926.00419930957
572418832917.048390596-8729.04839059595
58329267262029.54225946967237.4577405309
596502966333.4575798874-1304.45757988737
60101097100188.890886794908.109113205981
61218946225476.719586098-6530.71958609834
62244052240937.9071980853114.09280191517
63341570379386.343030414-37816.3430304137
6410359794950.0098173598646.99018264096
65233328306461.31641235-73133.3164123504
66256462242727.95941829813734.0405817022
67206161162126.86608723944034.1339127613
68311473303533.0479464157939.95205358454
69235800256566.86391465-20766.8639146505
70177939192667.767732475-14728.7677324751
71207176196942.5801109310233.4198890696
72196553155651.35914465140901.6408553489
73174184153937.29728639120246.7027136087
74143246174482.936371345-31236.936371345
75187559227128.099681365-39569.0996813653
76187681207892.724435504-20211.724435504
77119016134136.592251108-15120.5922511081
78182192194202.490703752-12010.4907037519
797356683087.8773320162-9521.87733201617
80194979186174.8355817798804.16441822139
81167488166025.2579206581462.74207934219
82143756178839.556769534-35083.556769534
83275541198656.68910638276884.3108936177
84243199202356.49597100540842.5040289955
85182999151388.56507325531610.4349267445
86135649161450.126729613-25801.1267296135
87152299158441.613952376-6142.61395237609
88120221129835.641144443-9614.64114444289
89346485283216.16436892263268.8356310783
90145790122407.78925822223382.2107417782
91193339205148.83369391-11809.8336939103
928095382766.4186907102-1813.41869071023
93122774138305.908294655-15531.9082946548
94130585132303.87230387-1718.87230387045
9511261198338.294178100414272.7058218996
96286468253267.05794187733200.942058123
97241066202559.12809996838506.8719000317
98148446266608.811511013-118162.811511013
99204713186107.23775565718605.7622443426
100182079212093.444724653-30014.4447246527
101140344140043.231695705300.768304294886
102220516229476.418865945-8960.41886594495
103243060202666.19394587840393.8060541215
104162765156257.6036710156507.39632898512
105182613177830.1341774184782.8658225817
106232138221877.95273584510260.0472641553
107265318292068.337404621-26750.3374046207
10885574114953.711094989-29379.7110949888
109310839308043.6357310252795.36426897529
110225060204497.91826419820562.0817358017
111232317233783.340680727-1466.34068072654
112144966150980.936428176-6014.93642817638
1134328769668.8830668901-26381.8830668901
114155754157096.728463651-1342.72846365126
115164709215406.34767745-50697.3476774495
116201940198072.5646973693867.43530263089
117235454221328.7950874314125.2049125703
118220801177515.26997313643285.7300268637
11999466101062.478759221-1596.47875922079
12092661130783.60715224-38122.6071522401
121133328146192.013602231-12864.0136022314
1226136197685.0247210096-36324.0247210096
123125930170607.2879254-44677.2879254
124100750138057.261477799-37307.2614777994
125224549157819.09743153166729.9025684687
1268231663207.788322730919108.2116772691
12710201087026.43303025714983.566969743
128101523132856.47929157-31333.4792915702
129243511225923.8944236517587.1055763501
1302293819693.98118013093244.01881986908
1314156646047.5590786016-4481.55907860157
132152474179203.079078205-26729.0790782053
1336185745984.069683662815872.9303163371
13499923164431.430036889-64508.4300368888
135132487162441.234898336-29954.2348983359
136317394270160.92448292247233.0755170782
1372105415277.074107975776.92589202995
138209641162971.85261620946669.1473837908
1392264854405.1062714049-31757.1062714049
1403141445093.3788664053-13679.3788664053
1414669863904.9727711918-17206.9727711918
142131698157225.220026463-25527.2200264634
1439173584309.16437543127425.83562456877
144244749248613.6188728-3864.61887280039
145184510171629.1140635312880.8859364699
14679863120834.162067306-40971.1620673056
147128423123701.1345415344721.8654584657
14897839123362.799417839-25523.7994178388
1493821442930.9957929221-4716.99579292208
150151101146630.4095880154470.59041198483
151272458239607.39099407132850.6090059292
152172494173585.476649595-1091.47664959497
153108043115211.547860165-7168.54786016462
154328107281983.63288475346123.3671152469
155250579226307.40428718324271.5957128169
156351067326119.8784347424947.1215652604
157158015125316.70118338932698.2988166108
1589886692993.54210929335872.45789070675
15985439101182.024387155-15743.0243871545
160229242222190.3832364117051.61676358891
161351619344738.8789328586880.12106714224
1628420785518.7369109775-1311.7369109775
163120445131758.511170527-11313.5111705271
164324598305278.04372783319319.9562721673
165131069155903.955771026-24834.9557710259
166204271175992.36438555928278.6356144406
167165543190822.376049178-25279.3760491776
168141722135757.8632749465964.13672505444
169116048103628.35654489612419.6434551045
170250047157865.6738971392181.3261028696
171299775278853.69161786820921.3083821319
172195838221320.113697479-25482.1136974786
173173260147897.46844381825362.5315561815
174254488238189.69723660716298.3027633928
175104389161393.456036635-57004.4560366348
176136084120660.0384614315423.9615385699
177199476222657.413959919-23181.4139599194
1789249980043.082967266212455.9170327338
179224330233109.234171359-8779.23417135909
18013578194952.335136014140828.6648639859
1817440895988.2138799834-21580.2138799834
18281240117662.265150397-36422.2651503972
183146881794.0922071875812893.9077928124
184181633173120.3713625118512.62863748918
185271856259554.64156073412301.3584392662
1867199-1853.438536480979052.43853648097
1874666028854.029626471617805.9703735284
18817547-2734.9750146034120281.9750146034
189133368134568.711304161-1200.71130416121
1909522792086.85520373493140.14479626506
191152601125123.63766089627477.3623391035
1929814679257.303996926318888.6960030737
19379619105399.057728759-25780.0577287591
19459194102345.887084884-43151.8870848835
195139942131670.0166245948271.98337540625
196118612129175.401822347-10563.4018223469
1977288077290.8898043555-4410.88980435547
1986547564587.7698387697887.230161230276
19999643124270.927431669-24627.927431669
2007196591088.2985395817-19123.2985395817
2017727275500.8086457681771.19135423205
2024928955651.9903316457-6362.99033164572
203135131112083.33842104623047.661578954
20410844698070.021827423210375.9781725768
20589746118831.893991269-29085.8939912688
2064429652244.1078196781-7948.10781967807
2077764887464.714699312-9816.71469931204
208181528126364.61818923955163.3818107609
209134019108330.29078098425688.7092190159
210124064107133.50783776716930.4921622334
2119263082697.47340800059932.52659199949
212121848105260.39890975416587.6010902455
2135291556886.0740252666-3971.07402526663
2148187263287.456313000218584.5436869998
2155898184290.8750751896-25309.8750751896
2165351564893.4003774853-11378.4003774853
2176081285793.2383648933-24981.2383648933
2185637551092.97079668235282.02920331765
2196549057866.04149238857623.95850761152
2208094945758.093595113335190.9064048867
2217630287919.4261604984-11617.4261604984
222104011129584.419388407-25573.4193884072
22398104165834.74476009-67730.7447600898
2246798965966.57522819432022.42477180567
2253098927074.65810339193914.34189660813
226135458145845.14526741-10387.1452674097
2277350460145.778025521713358.2219744783
2286312396227.683440578-33104.683440578
2296125498636.7459381946-37382.7459381946
23074914117806.712363828-42892.7123638279
2313177444217.4875738104-12443.4875738104
2328143792443.7542812955-11006.7542812955
23387186118480.379405975-31294.3794059751
2345009060007.053544266-9917.05354426601
2356574596596.9467336248-30851.9467336248
2365665364575.2075137618-7922.20751376184
23715839998416.38769038859982.6123096119
2384645563105.4848465716-16650.4848465716
2397362486036.494884923-12412.494884923
2403839559446.5638312354-21051.5638312354
2419189986598.28642091965300.71357908042
242139526164672.386789058-25146.3867890575
2435216467664.2835357771-15500.2835357771
2445156752880.9934315104-1313.99343151044
2457055173072.1120774293-2521.11207742925
2468485689102.3967189338-4246.39671893378
247102538131420.90749036-28882.9074903598
2488667856636.380047821330041.6199521787
2498570973111.268415547312597.7315844527
2503466240759.8884196653-6097.88841966526
251150580133483.36736532617096.6326346736
2529961196907.46227364822703.53772635185
253193494799.5688266740914549.4311733259
2549937395476.77821875053896.22178124952
2558623088943.4779866795-2713.47798667955
2563083719496.10627109711340.893728903
2573170640405.8961560756-8699.89615607556
2588980668961.219491965420844.7805080346
2596208846995.367922653715092.6320773463
2604015130627.67746080559523.32253919451
2612763439532.5775891423-11898.5775891423
2627699074219.28663565022770.7133643498
2633746026089.937755454211370.0622445458
2645415763234.460421342-9077.46042134205
2654986256545.7227224717-6683.72272247175
2668433771737.041607779612599.9583922204
2676417580636.722523042-16461.722523042
2685938263017.4469031351-3635.44690313511
26911930864699.718445606454608.2815543936
2707670294340.5859873435-17638.5859873435
271103425121321.684217745-17896.6842177455
2727034454823.759884483215520.2401155169
2734341032992.927781690710417.0722183093
27410483894573.604729403610264.3952705964
2756221550090.020870044112124.9791299559
2766930478841.4189343118-9537.41893431179
2775311735109.585473798218007.4145262018
278197646048.1595424570113715.840457543
2798668089886.733731699-3206.73373169905
2808410564597.608632366719507.3913676333
2817794575168.64438582042776.35561417961
2828911363033.318630258126079.6813697419
2839100583082.19954657067922.80045342942
2844024821755.769895747518492.2301042525
2856418747637.513643796716549.4863562033
2865085776662.6149993885-25805.6149993885
2875661354202.86901775142410.13098224862
2886279282277.5357673272-19485.5357673272
2897253566300.30954180186234.69045819815







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.3724986796118810.7449973592237620.627501320388119
110.3726001103634010.7452002207268030.627399889636599
120.8947773699415680.2104452601168640.105222630058432
130.8486669843759260.3026660312481470.151333015624074
140.7753713403332030.4492573193335930.224628659666797
150.7007195639388190.5985608721223620.299280436061181
160.6587534342731570.6824931314536860.341246565726843
170.7619886124121750.476022775175650.238011387587825
180.7385100125963120.5229799748073760.261489987403688
190.7209293328605930.5581413342788140.279070667139407
200.7907081918577520.4185836162844970.209291808142248
210.7688521980459960.4622956039080080.231147801954004
220.7079125113970320.5841749772059370.292087488602968
230.9815963661792160.03680726764156770.0184036338207839
240.9734642324290220.05307153514195570.0265357675709779
250.9761004743544020.04779905129119670.0238995256455984
260.9979633875612070.004073224877587010.00203661243879351
270.9976802355350450.004639528929909520.00231976446495476
280.9964136540125160.007172691974967810.00358634598748391
290.9974574846477810.005085030704438080.00254251535221904
300.9960906406628020.007818718674396990.00390935933719849
310.9946374565981080.01072508680378480.00536254340189238
320.9926472203348280.01470555933034490.00735277966517243
330.9908482537553040.01830349248939120.00915174624469558
340.9957907118046320.008418576390735180.00420928819536759
350.9938787077680220.01224258446395670.00612129223197833
360.9918590465527450.01628190689450950.00814095344725476
370.9890966438471190.02180671230576260.0109033561528813
380.9873191798806730.02536164023865430.0126808201193272
390.9961833210400660.007633357919867310.00381667895993366
400.9954105489299170.009178902140165340.00458945107008267
410.9935686156494850.01286276870103050.00643138435051525
420.9915477320193150.01690453596137050.00845226798068527
430.9972045172202950.005590965559409640.00279548277970482
440.996512720418290.006974559163420440.00348727958171022
450.9953838225713190.009232354857362610.0046161774286813
460.9936020579271030.01279588414579340.00639794207289672
470.9964027378145080.007194524370983790.0035972621854919
480.9950787953401540.009842409319691370.00492120465984568
490.9937986165022550.01240276699549050.00620138349774524
500.9980506816449450.00389863671010930.00194931835505465
510.9977961327846720.004407734430655430.00220386721532771
520.9969706710059030.006058657988193260.00302932899409663
530.9973120561828890.005375887634221870.00268794381711093
540.9985147357482520.002970528503496880.00148526425174844
550.9988387675899750.002322464820049820.00116123241002491
560.998393807478110.00321238504377950.00160619252188975
570.9977921473515230.004415705296953410.00220785264847671
580.9993862708308370.001227458338326130.000613729169163065
590.9991479154831030.001704169033794640.000852084516897318
600.9987994760687780.002401047862443770.00120052393122189
610.9983367492328670.003326501534265530.00166325076713277
620.9977719532915520.004456093416895480.00222804670844774
630.9984365344627390.003126931074521850.00156346553726092
640.9979962486174040.00400750276519230.00200375138259615
650.9997391218998830.0005217562002345890.000260878100117295
660.9996646004247430.0006707991505141150.000335399575257058
670.9998111739262170.0003776521475666730.000188826073783337
680.999740682225030.0005186355499406190.00025931777497031
690.9996786376926190.0006427246147622930.000321362307381147
700.9995611815671340.0008776368657316750.000438818432865838
710.9994296941790950.001140611641809470.000570305820904734
720.9996123179788320.0007753640423361310.000387682021168065
730.9995492059542210.0009015880915579590.00045079404577898
740.9995543257340390.0008913485319210340.000445674265960517
750.9996141975766290.0007716048467430950.000385802423371547
760.9995087354907410.0009825290185170520.000491264509258526
770.999343140277440.001313719445119140.000656859722559568
780.9991162168490340.001767566301932850.000883783150966423
790.9988021474821540.002395705035692230.00119785251784611
800.9984982389739250.003003522052149510.00150176102607476
810.9980039351441130.003992129711774230.00199606485588711
820.9979787309155550.004042538168889880.00202126908444494
830.9997245474372550.0005509051254906360.000275452562745318
840.9998069195810150.0003861608379709280.000193080418985464
850.9998246734293250.0003506531413498490.000175326570674924
860.9997985358957270.000402928208546460.00020146410427323
870.999718061324070.0005638773518589680.000281938675929484
880.9996139715338110.0007720569323786230.000386028466189311
890.9998899397220070.0002201205559867950.000110060277993397
900.9998776517587140.0002446964825720850.000122348241286042
910.9998359581156130.0003280837687732760.000164041884386638
920.9997694934017760.000461013196448550.000230506598224275
930.9997007529226310.0005984941547378590.000299247077368929
940.9995866201656470.0008267596687067330.000413379834353366
950.999481628447750.001036743104499390.000518371552249696
960.9995202226521130.0009595546957742630.000479777347887131
970.9996129638670830.0007740722658339730.000387036132916987
980.9999983185455513.3629088990096e-061.6814544495048e-06
990.9999979102931214.17941375884883e-062.08970687942442e-06
1000.9999977675349424.46493011639446e-062.23246505819723e-06
1010.9999966329545796.73409084296502e-063.36704542148251e-06
1020.9999950771805149.84563897186076e-064.92281948593038e-06
1030.9999969450271186.10994576474496e-063.05497288237248e-06
1040.9999955839813468.83203730810244e-064.41601865405122e-06
1050.9999935976199171.28047601656515e-056.40238008282574e-06
1060.9999911546832311.76906335372535e-058.84531676862676e-06
1070.9999901049861441.97900277116237e-059.89501385581184e-06
1080.9999896761032392.06477935214733e-051.03238967607367e-05
1090.999985286355772.94272884600458e-051.47136442300229e-05
1100.9999830912420243.38175159519021e-051.69087579759511e-05
1110.9999755550184624.88899630752443e-052.44449815376222e-05
1120.999966436989056.71260218998657e-053.35630109499329e-05
1130.9999619253976817.61492046388018e-053.80746023194009e-05
1140.9999455810561880.0001088378876239795.44189438119894e-05
1150.9999726418565765.47162868487428e-052.73581434243714e-05
1160.9999614854999777.70290000452946e-053.85145000226473e-05
1170.9999504699245359.90601509310128e-054.95300754655064e-05
1180.9999704709943355.90580113305537e-052.95290056652768e-05
1190.9999576603781178.46792437659852e-054.23396218829926e-05
1200.9999649742954147.00514091720471e-053.50257045860236e-05
1210.9999524282400969.51435198088416e-054.75717599044208e-05
1220.9999578884730828.42230538361556e-054.21115269180778e-05
1230.9999734410122295.3117975541385e-052.65589877706925e-05
1240.9999772890671774.54218656454397e-052.27109328227198e-05
1250.9999964952402277.00951954545118e-063.50475977272559e-06
1260.9999958670703888.26585922409197e-064.13292961204598e-06
1270.9999947132027011.05735945976133e-055.28679729880665e-06
1280.9999949959988991.00080022018409e-055.00400110092047e-06
1290.9999937627614141.24744771728849e-056.23723858644245e-06
1300.9999909332121491.81335757021616e-059.06678785108082e-06
1310.9999867149579512.6570084098676e-051.3285042049338e-05
1320.9999858213069152.83573861696509e-051.41786930848255e-05
1330.9999825830098593.48339802813207e-051.74169901406603e-05
1340.9999968045293016.39094139799299e-063.1954706989965e-06
1350.9999969830056836.03398863349746e-063.01699431674873e-06
1360.9999986022096362.79558072787059e-061.39779036393529e-06
1370.9999979462379364.10752412729824e-062.05376206364912e-06
1380.9999991819694351.63606112936291e-068.18030564681453e-07
1390.9999992641657331.47166853338147e-067.35834266690734e-07
1400.9999989611325812.07773483771843e-061.03886741885921e-06
1410.9999986886701682.62265966371409e-061.31132983185705e-06
1420.9999987128709622.57425807641439e-061.28712903820719e-06
1430.9999981148393123.77032137544142e-061.88516068772071e-06
1440.9999972778116145.44437677126533e-062.72218838563266e-06
1450.9999965956367866.80872642796981e-063.40436321398491e-06
1460.9999983949788543.21004229104772e-061.60502114552386e-06
1470.9999977878918644.42421627296546e-062.21210813648273e-06
1480.9999976262170984.74756580315478e-062.37378290157739e-06
1490.9999966354956556.72900869014602e-063.36450434507301e-06
1500.9999950570026099.88599478172139e-064.94299739086069e-06
1510.9999955391002688.92179946372661e-064.46089973186331e-06
1520.9999933424406061.33151187879339e-056.65755939396697e-06
1530.9999910938361231.78123277543431e-058.90616387717155e-06
1540.9999957516471518.49670569701447e-064.24835284850723e-06
1550.9999954995275439.00094491411838e-064.50047245705919e-06
1560.9999964892105997.02157880276037e-063.51078940138018e-06
1570.9999973905213145.21895737124921e-062.60947868562461e-06
1580.9999961146986797.77060264236791e-063.88530132118396e-06
1590.9999950325940639.93481187480606e-064.96740593740303e-06
1600.99999295181371.40963726009467e-057.04818630047337e-06
1610.9999905395296821.89209406364198e-059.46047031820988e-06
1620.9999872764039642.54471920710193e-051.27235960355096e-05
1630.9999837831597573.24336804858181e-051.62168402429091e-05
1640.9999801310721583.97378556845405e-051.98689278422702e-05
1650.9999764948248474.70103503060296e-052.35051751530148e-05
1660.9999830299993953.39400012092203e-051.69700006046101e-05
1670.9999792004271274.15991457463084e-052.07995728731542e-05
1680.9999699716281336.00567437349895e-053.00283718674948e-05
1690.999959359646548.12807069196388e-054.06403534598194e-05
1700.9999993723999371.25520012608274e-066.2760006304137e-07
1710.999999631119647.37760720300395e-073.68880360150197e-07
1720.9999994889536171.02209276611808e-065.11046383059042e-07
1730.9999995696794618.60641078151018e-074.30320539075509e-07
1740.9999999043723821.91255236127645e-079.56276180638226e-08
1750.9999999516630429.66739161560343e-084.83369580780171e-08
1760.9999999344883041.31023392206277e-076.55116961031387e-08
1770.9999999017896861.96420627765429e-079.82103138827146e-08
1780.9999998504179972.99164005459567e-071.49582002729784e-07
1790.9999997801003434.39799313764662e-072.19899656882331e-07
1800.9999999244912741.5101745203988e-077.55087260199401e-08
1810.9999998960710912.07857817740014e-071.03928908870007e-07
1820.9999999471153151.05769369886657e-075.28846849433286e-08
1830.9999999150330591.6993388283463e-078.49669414173149e-08
1840.9999999136394521.72721096502713e-078.63605482513563e-08
1850.999999979723864.05522800349733e-082.02761400174867e-08
1860.9999999693531396.12937223166927e-083.06468611583464e-08
1870.999999950517029.89659601066127e-084.94829800533064e-08
1880.9999999215597111.5688057754858e-077.84402887742899e-08
1890.9999998794355632.41128874371557e-071.20564437185779e-07
1900.9999998054186673.89162666267297e-071.94581333133648e-07
1910.9999999376116451.24776709962017e-076.23883549810086e-08
1920.9999999101277341.79744532312105e-078.98722661560524e-08
1930.9999998888826182.22234764204348e-071.11117382102174e-07
1940.9999999108223391.78355322557464e-078.91776612787321e-08
1950.9999999205891681.58821663786239e-077.94108318931197e-08
1960.9999998867594552.26481090376156e-071.13240545188078e-07
1970.9999998139604683.72079064019685e-071.86039532009842e-07
1980.9999997388192865.22361427992411e-072.61180713996206e-07
1990.999999621524537.56950940667286e-073.78475470333643e-07
2000.9999994064065121.18718697697482e-065.93593488487408e-07
2010.9999990522575461.89548490846155e-069.47742454230773e-07
2020.999998443341863.11331627999384e-061.55665813999692e-06
2030.9999983699846953.26003061077544e-061.63001530538772e-06
2040.999997526711314.94657737952297e-062.47328868976148e-06
2050.9999968515596466.29688070825208e-063.14844035412604e-06
2060.9999955252528988.94949420461922e-064.47474710230961e-06
2070.999993496286571.30074268590875e-056.50371342954374e-06
2080.9999997223246665.55350668029506e-072.77675334014753e-07
2090.9999998748937352.50212529107457e-071.25106264553729e-07
2100.9999999265607831.4687843415353e-077.34392170767652e-08
2110.9999999142830071.71433986209292e-078.57169931046462e-08
2120.9999999543345119.13309788423638e-084.56654894211819e-08
2130.9999999179613071.64077385590432e-078.20386927952159e-08
2140.9999999045713181.90857364676403e-079.54286823382013e-08
2150.9999998695938362.60812327318645e-071.30406163659323e-07
2160.999999782811364.34377280914469e-072.17188640457234e-07
2170.9999997401574685.19685064971015e-072.59842532485507e-07
2180.9999995951844738.09631054013485e-074.04815527006743e-07
2190.9999994907735321.01845293624718e-065.09226468123591e-07
2200.9999997694306514.61138698202587e-072.30569349101293e-07
2210.9999995934555398.13088921466329e-074.06544460733164e-07
2220.9999993476887371.30462252554175e-066.52311262770874e-07
2230.9999997552924014.89415198702697e-072.44707599351349e-07
2240.999999645928457.081431002715e-073.5407155013575e-07
2250.9999993751809711.2496380579518e-066.24819028975901e-07
2260.9999991152935141.76941297142283e-068.84706485711417e-07
2270.9999990129893731.97402125345239e-069.87010626726195e-07
2280.9999983684362933.26312741484942e-061.63156370742471e-06
2290.9999982425551993.51488960243063e-061.75744480121531e-06
2300.9999991491608891.70167822283961e-068.50839111419803e-07
2310.9999989447299722.11054005677088e-061.05527002838544e-06
2320.999998122289313.75542138022485e-061.87771069011243e-06
2330.9999984106750243.17864995270092e-061.58932497635046e-06
2340.9999976440159994.71196800178728e-062.35598400089364e-06
2350.9999976171513264.76569734716105e-062.38284867358052e-06
2360.9999959567191088.08656178410198e-064.04328089205099e-06
2370.9999999578103668.43792680994219e-084.21896340497109e-08
2380.9999999295587021.40882595493891e-077.04412977469456e-08
2390.9999998673718512.65256297837155e-071.32628148918578e-07
2400.9999998674329162.65134168108181e-071.32567084054091e-07
2410.9999997418916145.162167725712e-072.581083862856e-07
2420.9999996082447177.8351056589064e-073.9175528294532e-07
2430.9999996406994637.18601073275835e-073.59300536637917e-07
2440.9999992559567251.48808654959131e-067.44043274795653e-07
2450.9999984532325873.09353482641073e-061.54676741320537e-06
2460.9999969061024166.18779516834979e-063.09389758417489e-06
2470.9999968095780056.38084398947691e-063.19042199473845e-06
2480.9999968013538956.39729221078384e-063.19864610539192e-06
2490.9999941270714911.17458570187714e-055.87292850938572e-06
2500.9999902392691091.95214617814623e-059.76073089073115e-06
2510.9999881417423652.37165152694273e-051.18582576347136e-05
2520.9999815756341743.684873165292e-051.842436582646e-05
2530.9999634587715337.30824569336008e-053.65412284668004e-05
2540.999928108367890.0001437832642202767.1891632110138e-05
2550.9998607646228090.0002784707543822830.000139235377191142
2560.9997380834056760.00052383318864840.0002619165943242
2570.9996232289525570.0007535420948870020.000376771047443501
2580.9995081506305410.0009836987389176580.000491849369458829
2590.9991693853670020.001661229265995790.000830614632997895
2600.9984844067272530.003031186545493470.00151559327274674
2610.9987046282056840.002590743588632440.00129537179431622
2620.9976090614747750.004781877050449990.002390938525225
2630.9961247986075870.007750402784826890.00387520139241345
2640.9951558022028220.009688395594355540.00484419779717777
2650.9942875483597070.01142490328058540.0057124516402927
2660.9898494499860940.02030110002781270.0101505500139064
2670.9900790266019260.01984194679614780.00992097339807388
2680.9866073314051060.02678533718978710.0133926685948936
2690.9988708675485120.002258264902976670.00112913245148834
2700.9983900672500460.003219865499907550.00160993274995377
2710.9987608001444610.00247839971107750.00123919985553875
2720.9969175257648450.006164948470309460.00308247423515473
2730.9965543737931020.006891252413795590.0034456262068978
2740.9918268809089970.01634623818200560.00817311909100282
2750.9851868125017640.02962637499647280.0148131874982364
2760.9661257829901370.06774843401972660.0338742170098633
2770.9250920620617970.1498158758764050.0749079379382026
2780.8884548199748290.2230903600503420.111545180025171
2790.8023960422032380.3952079155935240.197603957796762

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.372498679611881 & 0.744997359223762 & 0.627501320388119 \tabularnewline
11 & 0.372600110363401 & 0.745200220726803 & 0.627399889636599 \tabularnewline
12 & 0.894777369941568 & 0.210445260116864 & 0.105222630058432 \tabularnewline
13 & 0.848666984375926 & 0.302666031248147 & 0.151333015624074 \tabularnewline
14 & 0.775371340333203 & 0.449257319333593 & 0.224628659666797 \tabularnewline
15 & 0.700719563938819 & 0.598560872122362 & 0.299280436061181 \tabularnewline
16 & 0.658753434273157 & 0.682493131453686 & 0.341246565726843 \tabularnewline
17 & 0.761988612412175 & 0.47602277517565 & 0.238011387587825 \tabularnewline
18 & 0.738510012596312 & 0.522979974807376 & 0.261489987403688 \tabularnewline
19 & 0.720929332860593 & 0.558141334278814 & 0.279070667139407 \tabularnewline
20 & 0.790708191857752 & 0.418583616284497 & 0.209291808142248 \tabularnewline
21 & 0.768852198045996 & 0.462295603908008 & 0.231147801954004 \tabularnewline
22 & 0.707912511397032 & 0.584174977205937 & 0.292087488602968 \tabularnewline
23 & 0.981596366179216 & 0.0368072676415677 & 0.0184036338207839 \tabularnewline
24 & 0.973464232429022 & 0.0530715351419557 & 0.0265357675709779 \tabularnewline
25 & 0.976100474354402 & 0.0477990512911967 & 0.0238995256455984 \tabularnewline
26 & 0.997963387561207 & 0.00407322487758701 & 0.00203661243879351 \tabularnewline
27 & 0.997680235535045 & 0.00463952892990952 & 0.00231976446495476 \tabularnewline
28 & 0.996413654012516 & 0.00717269197496781 & 0.00358634598748391 \tabularnewline
29 & 0.997457484647781 & 0.00508503070443808 & 0.00254251535221904 \tabularnewline
30 & 0.996090640662802 & 0.00781871867439699 & 0.00390935933719849 \tabularnewline
31 & 0.994637456598108 & 0.0107250868037848 & 0.00536254340189238 \tabularnewline
32 & 0.992647220334828 & 0.0147055593303449 & 0.00735277966517243 \tabularnewline
33 & 0.990848253755304 & 0.0183034924893912 & 0.00915174624469558 \tabularnewline
34 & 0.995790711804632 & 0.00841857639073518 & 0.00420928819536759 \tabularnewline
35 & 0.993878707768022 & 0.0122425844639567 & 0.00612129223197833 \tabularnewline
36 & 0.991859046552745 & 0.0162819068945095 & 0.00814095344725476 \tabularnewline
37 & 0.989096643847119 & 0.0218067123057626 & 0.0109033561528813 \tabularnewline
38 & 0.987319179880673 & 0.0253616402386543 & 0.0126808201193272 \tabularnewline
39 & 0.996183321040066 & 0.00763335791986731 & 0.00381667895993366 \tabularnewline
40 & 0.995410548929917 & 0.00917890214016534 & 0.00458945107008267 \tabularnewline
41 & 0.993568615649485 & 0.0128627687010305 & 0.00643138435051525 \tabularnewline
42 & 0.991547732019315 & 0.0169045359613705 & 0.00845226798068527 \tabularnewline
43 & 0.997204517220295 & 0.00559096555940964 & 0.00279548277970482 \tabularnewline
44 & 0.99651272041829 & 0.00697455916342044 & 0.00348727958171022 \tabularnewline
45 & 0.995383822571319 & 0.00923235485736261 & 0.0046161774286813 \tabularnewline
46 & 0.993602057927103 & 0.0127958841457934 & 0.00639794207289672 \tabularnewline
47 & 0.996402737814508 & 0.00719452437098379 & 0.0035972621854919 \tabularnewline
48 & 0.995078795340154 & 0.00984240931969137 & 0.00492120465984568 \tabularnewline
49 & 0.993798616502255 & 0.0124027669954905 & 0.00620138349774524 \tabularnewline
50 & 0.998050681644945 & 0.0038986367101093 & 0.00194931835505465 \tabularnewline
51 & 0.997796132784672 & 0.00440773443065543 & 0.00220386721532771 \tabularnewline
52 & 0.996970671005903 & 0.00605865798819326 & 0.00302932899409663 \tabularnewline
53 & 0.997312056182889 & 0.00537588763422187 & 0.00268794381711093 \tabularnewline
54 & 0.998514735748252 & 0.00297052850349688 & 0.00148526425174844 \tabularnewline
55 & 0.998838767589975 & 0.00232246482004982 & 0.00116123241002491 \tabularnewline
56 & 0.99839380747811 & 0.0032123850437795 & 0.00160619252188975 \tabularnewline
57 & 0.997792147351523 & 0.00441570529695341 & 0.00220785264847671 \tabularnewline
58 & 0.999386270830837 & 0.00122745833832613 & 0.000613729169163065 \tabularnewline
59 & 0.999147915483103 & 0.00170416903379464 & 0.000852084516897318 \tabularnewline
60 & 0.998799476068778 & 0.00240104786244377 & 0.00120052393122189 \tabularnewline
61 & 0.998336749232867 & 0.00332650153426553 & 0.00166325076713277 \tabularnewline
62 & 0.997771953291552 & 0.00445609341689548 & 0.00222804670844774 \tabularnewline
63 & 0.998436534462739 & 0.00312693107452185 & 0.00156346553726092 \tabularnewline
64 & 0.997996248617404 & 0.0040075027651923 & 0.00200375138259615 \tabularnewline
65 & 0.999739121899883 & 0.000521756200234589 & 0.000260878100117295 \tabularnewline
66 & 0.999664600424743 & 0.000670799150514115 & 0.000335399575257058 \tabularnewline
67 & 0.999811173926217 & 0.000377652147566673 & 0.000188826073783337 \tabularnewline
68 & 0.99974068222503 & 0.000518635549940619 & 0.00025931777497031 \tabularnewline
69 & 0.999678637692619 & 0.000642724614762293 & 0.000321362307381147 \tabularnewline
70 & 0.999561181567134 & 0.000877636865731675 & 0.000438818432865838 \tabularnewline
71 & 0.999429694179095 & 0.00114061164180947 & 0.000570305820904734 \tabularnewline
72 & 0.999612317978832 & 0.000775364042336131 & 0.000387682021168065 \tabularnewline
73 & 0.999549205954221 & 0.000901588091557959 & 0.00045079404577898 \tabularnewline
74 & 0.999554325734039 & 0.000891348531921034 & 0.000445674265960517 \tabularnewline
75 & 0.999614197576629 & 0.000771604846743095 & 0.000385802423371547 \tabularnewline
76 & 0.999508735490741 & 0.000982529018517052 & 0.000491264509258526 \tabularnewline
77 & 0.99934314027744 & 0.00131371944511914 & 0.000656859722559568 \tabularnewline
78 & 0.999116216849034 & 0.00176756630193285 & 0.000883783150966423 \tabularnewline
79 & 0.998802147482154 & 0.00239570503569223 & 0.00119785251784611 \tabularnewline
80 & 0.998498238973925 & 0.00300352205214951 & 0.00150176102607476 \tabularnewline
81 & 0.998003935144113 & 0.00399212971177423 & 0.00199606485588711 \tabularnewline
82 & 0.997978730915555 & 0.00404253816888988 & 0.00202126908444494 \tabularnewline
83 & 0.999724547437255 & 0.000550905125490636 & 0.000275452562745318 \tabularnewline
84 & 0.999806919581015 & 0.000386160837970928 & 0.000193080418985464 \tabularnewline
85 & 0.999824673429325 & 0.000350653141349849 & 0.000175326570674924 \tabularnewline
86 & 0.999798535895727 & 0.00040292820854646 & 0.00020146410427323 \tabularnewline
87 & 0.99971806132407 & 0.000563877351858968 & 0.000281938675929484 \tabularnewline
88 & 0.999613971533811 & 0.000772056932378623 & 0.000386028466189311 \tabularnewline
89 & 0.999889939722007 & 0.000220120555986795 & 0.000110060277993397 \tabularnewline
90 & 0.999877651758714 & 0.000244696482572085 & 0.000122348241286042 \tabularnewline
91 & 0.999835958115613 & 0.000328083768773276 & 0.000164041884386638 \tabularnewline
92 & 0.999769493401776 & 0.00046101319644855 & 0.000230506598224275 \tabularnewline
93 & 0.999700752922631 & 0.000598494154737859 & 0.000299247077368929 \tabularnewline
94 & 0.999586620165647 & 0.000826759668706733 & 0.000413379834353366 \tabularnewline
95 & 0.99948162844775 & 0.00103674310449939 & 0.000518371552249696 \tabularnewline
96 & 0.999520222652113 & 0.000959554695774263 & 0.000479777347887131 \tabularnewline
97 & 0.999612963867083 & 0.000774072265833973 & 0.000387036132916987 \tabularnewline
98 & 0.999998318545551 & 3.3629088990096e-06 & 1.6814544495048e-06 \tabularnewline
99 & 0.999997910293121 & 4.17941375884883e-06 & 2.08970687942442e-06 \tabularnewline
100 & 0.999997767534942 & 4.46493011639446e-06 & 2.23246505819723e-06 \tabularnewline
101 & 0.999996632954579 & 6.73409084296502e-06 & 3.36704542148251e-06 \tabularnewline
102 & 0.999995077180514 & 9.84563897186076e-06 & 4.92281948593038e-06 \tabularnewline
103 & 0.999996945027118 & 6.10994576474496e-06 & 3.05497288237248e-06 \tabularnewline
104 & 0.999995583981346 & 8.83203730810244e-06 & 4.41601865405122e-06 \tabularnewline
105 & 0.999993597619917 & 1.28047601656515e-05 & 6.40238008282574e-06 \tabularnewline
106 & 0.999991154683231 & 1.76906335372535e-05 & 8.84531676862676e-06 \tabularnewline
107 & 0.999990104986144 & 1.97900277116237e-05 & 9.89501385581184e-06 \tabularnewline
108 & 0.999989676103239 & 2.06477935214733e-05 & 1.03238967607367e-05 \tabularnewline
109 & 0.99998528635577 & 2.94272884600458e-05 & 1.47136442300229e-05 \tabularnewline
110 & 0.999983091242024 & 3.38175159519021e-05 & 1.69087579759511e-05 \tabularnewline
111 & 0.999975555018462 & 4.88899630752443e-05 & 2.44449815376222e-05 \tabularnewline
112 & 0.99996643698905 & 6.71260218998657e-05 & 3.35630109499329e-05 \tabularnewline
113 & 0.999961925397681 & 7.61492046388018e-05 & 3.80746023194009e-05 \tabularnewline
114 & 0.999945581056188 & 0.000108837887623979 & 5.44189438119894e-05 \tabularnewline
115 & 0.999972641856576 & 5.47162868487428e-05 & 2.73581434243714e-05 \tabularnewline
116 & 0.999961485499977 & 7.70290000452946e-05 & 3.85145000226473e-05 \tabularnewline
117 & 0.999950469924535 & 9.90601509310128e-05 & 4.95300754655064e-05 \tabularnewline
118 & 0.999970470994335 & 5.90580113305537e-05 & 2.95290056652768e-05 \tabularnewline
119 & 0.999957660378117 & 8.46792437659852e-05 & 4.23396218829926e-05 \tabularnewline
120 & 0.999964974295414 & 7.00514091720471e-05 & 3.50257045860236e-05 \tabularnewline
121 & 0.999952428240096 & 9.51435198088416e-05 & 4.75717599044208e-05 \tabularnewline
122 & 0.999957888473082 & 8.42230538361556e-05 & 4.21115269180778e-05 \tabularnewline
123 & 0.999973441012229 & 5.3117975541385e-05 & 2.65589877706925e-05 \tabularnewline
124 & 0.999977289067177 & 4.54218656454397e-05 & 2.27109328227198e-05 \tabularnewline
125 & 0.999996495240227 & 7.00951954545118e-06 & 3.50475977272559e-06 \tabularnewline
126 & 0.999995867070388 & 8.26585922409197e-06 & 4.13292961204598e-06 \tabularnewline
127 & 0.999994713202701 & 1.05735945976133e-05 & 5.28679729880665e-06 \tabularnewline
128 & 0.999994995998899 & 1.00080022018409e-05 & 5.00400110092047e-06 \tabularnewline
129 & 0.999993762761414 & 1.24744771728849e-05 & 6.23723858644245e-06 \tabularnewline
130 & 0.999990933212149 & 1.81335757021616e-05 & 9.06678785108082e-06 \tabularnewline
131 & 0.999986714957951 & 2.6570084098676e-05 & 1.3285042049338e-05 \tabularnewline
132 & 0.999985821306915 & 2.83573861696509e-05 & 1.41786930848255e-05 \tabularnewline
133 & 0.999982583009859 & 3.48339802813207e-05 & 1.74169901406603e-05 \tabularnewline
134 & 0.999996804529301 & 6.39094139799299e-06 & 3.1954706989965e-06 \tabularnewline
135 & 0.999996983005683 & 6.03398863349746e-06 & 3.01699431674873e-06 \tabularnewline
136 & 0.999998602209636 & 2.79558072787059e-06 & 1.39779036393529e-06 \tabularnewline
137 & 0.999997946237936 & 4.10752412729824e-06 & 2.05376206364912e-06 \tabularnewline
138 & 0.999999181969435 & 1.63606112936291e-06 & 8.18030564681453e-07 \tabularnewline
139 & 0.999999264165733 & 1.47166853338147e-06 & 7.35834266690734e-07 \tabularnewline
140 & 0.999998961132581 & 2.07773483771843e-06 & 1.03886741885921e-06 \tabularnewline
141 & 0.999998688670168 & 2.62265966371409e-06 & 1.31132983185705e-06 \tabularnewline
142 & 0.999998712870962 & 2.57425807641439e-06 & 1.28712903820719e-06 \tabularnewline
143 & 0.999998114839312 & 3.77032137544142e-06 & 1.88516068772071e-06 \tabularnewline
144 & 0.999997277811614 & 5.44437677126533e-06 & 2.72218838563266e-06 \tabularnewline
145 & 0.999996595636786 & 6.80872642796981e-06 & 3.40436321398491e-06 \tabularnewline
146 & 0.999998394978854 & 3.21004229104772e-06 & 1.60502114552386e-06 \tabularnewline
147 & 0.999997787891864 & 4.42421627296546e-06 & 2.21210813648273e-06 \tabularnewline
148 & 0.999997626217098 & 4.74756580315478e-06 & 2.37378290157739e-06 \tabularnewline
149 & 0.999996635495655 & 6.72900869014602e-06 & 3.36450434507301e-06 \tabularnewline
150 & 0.999995057002609 & 9.88599478172139e-06 & 4.94299739086069e-06 \tabularnewline
151 & 0.999995539100268 & 8.92179946372661e-06 & 4.46089973186331e-06 \tabularnewline
152 & 0.999993342440606 & 1.33151187879339e-05 & 6.65755939396697e-06 \tabularnewline
153 & 0.999991093836123 & 1.78123277543431e-05 & 8.90616387717155e-06 \tabularnewline
154 & 0.999995751647151 & 8.49670569701447e-06 & 4.24835284850723e-06 \tabularnewline
155 & 0.999995499527543 & 9.00094491411838e-06 & 4.50047245705919e-06 \tabularnewline
156 & 0.999996489210599 & 7.02157880276037e-06 & 3.51078940138018e-06 \tabularnewline
157 & 0.999997390521314 & 5.21895737124921e-06 & 2.60947868562461e-06 \tabularnewline
158 & 0.999996114698679 & 7.77060264236791e-06 & 3.88530132118396e-06 \tabularnewline
159 & 0.999995032594063 & 9.93481187480606e-06 & 4.96740593740303e-06 \tabularnewline
160 & 0.9999929518137 & 1.40963726009467e-05 & 7.04818630047337e-06 \tabularnewline
161 & 0.999990539529682 & 1.89209406364198e-05 & 9.46047031820988e-06 \tabularnewline
162 & 0.999987276403964 & 2.54471920710193e-05 & 1.27235960355096e-05 \tabularnewline
163 & 0.999983783159757 & 3.24336804858181e-05 & 1.62168402429091e-05 \tabularnewline
164 & 0.999980131072158 & 3.97378556845405e-05 & 1.98689278422702e-05 \tabularnewline
165 & 0.999976494824847 & 4.70103503060296e-05 & 2.35051751530148e-05 \tabularnewline
166 & 0.999983029999395 & 3.39400012092203e-05 & 1.69700006046101e-05 \tabularnewline
167 & 0.999979200427127 & 4.15991457463084e-05 & 2.07995728731542e-05 \tabularnewline
168 & 0.999969971628133 & 6.00567437349895e-05 & 3.00283718674948e-05 \tabularnewline
169 & 0.99995935964654 & 8.12807069196388e-05 & 4.06403534598194e-05 \tabularnewline
170 & 0.999999372399937 & 1.25520012608274e-06 & 6.2760006304137e-07 \tabularnewline
171 & 0.99999963111964 & 7.37760720300395e-07 & 3.68880360150197e-07 \tabularnewline
172 & 0.999999488953617 & 1.02209276611808e-06 & 5.11046383059042e-07 \tabularnewline
173 & 0.999999569679461 & 8.60641078151018e-07 & 4.30320539075509e-07 \tabularnewline
174 & 0.999999904372382 & 1.91255236127645e-07 & 9.56276180638226e-08 \tabularnewline
175 & 0.999999951663042 & 9.66739161560343e-08 & 4.83369580780171e-08 \tabularnewline
176 & 0.999999934488304 & 1.31023392206277e-07 & 6.55116961031387e-08 \tabularnewline
177 & 0.999999901789686 & 1.96420627765429e-07 & 9.82103138827146e-08 \tabularnewline
178 & 0.999999850417997 & 2.99164005459567e-07 & 1.49582002729784e-07 \tabularnewline
179 & 0.999999780100343 & 4.39799313764662e-07 & 2.19899656882331e-07 \tabularnewline
180 & 0.999999924491274 & 1.5101745203988e-07 & 7.55087260199401e-08 \tabularnewline
181 & 0.999999896071091 & 2.07857817740014e-07 & 1.03928908870007e-07 \tabularnewline
182 & 0.999999947115315 & 1.05769369886657e-07 & 5.28846849433286e-08 \tabularnewline
183 & 0.999999915033059 & 1.6993388283463e-07 & 8.49669414173149e-08 \tabularnewline
184 & 0.999999913639452 & 1.72721096502713e-07 & 8.63605482513563e-08 \tabularnewline
185 & 0.99999997972386 & 4.05522800349733e-08 & 2.02761400174867e-08 \tabularnewline
186 & 0.999999969353139 & 6.12937223166927e-08 & 3.06468611583464e-08 \tabularnewline
187 & 0.99999995051702 & 9.89659601066127e-08 & 4.94829800533064e-08 \tabularnewline
188 & 0.999999921559711 & 1.5688057754858e-07 & 7.84402887742899e-08 \tabularnewline
189 & 0.999999879435563 & 2.41128874371557e-07 & 1.20564437185779e-07 \tabularnewline
190 & 0.999999805418667 & 3.89162666267297e-07 & 1.94581333133648e-07 \tabularnewline
191 & 0.999999937611645 & 1.24776709962017e-07 & 6.23883549810086e-08 \tabularnewline
192 & 0.999999910127734 & 1.79744532312105e-07 & 8.98722661560524e-08 \tabularnewline
193 & 0.999999888882618 & 2.22234764204348e-07 & 1.11117382102174e-07 \tabularnewline
194 & 0.999999910822339 & 1.78355322557464e-07 & 8.91776612787321e-08 \tabularnewline
195 & 0.999999920589168 & 1.58821663786239e-07 & 7.94108318931197e-08 \tabularnewline
196 & 0.999999886759455 & 2.26481090376156e-07 & 1.13240545188078e-07 \tabularnewline
197 & 0.999999813960468 & 3.72079064019685e-07 & 1.86039532009842e-07 \tabularnewline
198 & 0.999999738819286 & 5.22361427992411e-07 & 2.61180713996206e-07 \tabularnewline
199 & 0.99999962152453 & 7.56950940667286e-07 & 3.78475470333643e-07 \tabularnewline
200 & 0.999999406406512 & 1.18718697697482e-06 & 5.93593488487408e-07 \tabularnewline
201 & 0.999999052257546 & 1.89548490846155e-06 & 9.47742454230773e-07 \tabularnewline
202 & 0.99999844334186 & 3.11331627999384e-06 & 1.55665813999692e-06 \tabularnewline
203 & 0.999998369984695 & 3.26003061077544e-06 & 1.63001530538772e-06 \tabularnewline
204 & 0.99999752671131 & 4.94657737952297e-06 & 2.47328868976148e-06 \tabularnewline
205 & 0.999996851559646 & 6.29688070825208e-06 & 3.14844035412604e-06 \tabularnewline
206 & 0.999995525252898 & 8.94949420461922e-06 & 4.47474710230961e-06 \tabularnewline
207 & 0.99999349628657 & 1.30074268590875e-05 & 6.50371342954374e-06 \tabularnewline
208 & 0.999999722324666 & 5.55350668029506e-07 & 2.77675334014753e-07 \tabularnewline
209 & 0.999999874893735 & 2.50212529107457e-07 & 1.25106264553729e-07 \tabularnewline
210 & 0.999999926560783 & 1.4687843415353e-07 & 7.34392170767652e-08 \tabularnewline
211 & 0.999999914283007 & 1.71433986209292e-07 & 8.57169931046462e-08 \tabularnewline
212 & 0.999999954334511 & 9.13309788423638e-08 & 4.56654894211819e-08 \tabularnewline
213 & 0.999999917961307 & 1.64077385590432e-07 & 8.20386927952159e-08 \tabularnewline
214 & 0.999999904571318 & 1.90857364676403e-07 & 9.54286823382013e-08 \tabularnewline
215 & 0.999999869593836 & 2.60812327318645e-07 & 1.30406163659323e-07 \tabularnewline
216 & 0.99999978281136 & 4.34377280914469e-07 & 2.17188640457234e-07 \tabularnewline
217 & 0.999999740157468 & 5.19685064971015e-07 & 2.59842532485507e-07 \tabularnewline
218 & 0.999999595184473 & 8.09631054013485e-07 & 4.04815527006743e-07 \tabularnewline
219 & 0.999999490773532 & 1.01845293624718e-06 & 5.09226468123591e-07 \tabularnewline
220 & 0.999999769430651 & 4.61138698202587e-07 & 2.30569349101293e-07 \tabularnewline
221 & 0.999999593455539 & 8.13088921466329e-07 & 4.06544460733164e-07 \tabularnewline
222 & 0.999999347688737 & 1.30462252554175e-06 & 6.52311262770874e-07 \tabularnewline
223 & 0.999999755292401 & 4.89415198702697e-07 & 2.44707599351349e-07 \tabularnewline
224 & 0.99999964592845 & 7.081431002715e-07 & 3.5407155013575e-07 \tabularnewline
225 & 0.999999375180971 & 1.2496380579518e-06 & 6.24819028975901e-07 \tabularnewline
226 & 0.999999115293514 & 1.76941297142283e-06 & 8.84706485711417e-07 \tabularnewline
227 & 0.999999012989373 & 1.97402125345239e-06 & 9.87010626726195e-07 \tabularnewline
228 & 0.999998368436293 & 3.26312741484942e-06 & 1.63156370742471e-06 \tabularnewline
229 & 0.999998242555199 & 3.51488960243063e-06 & 1.75744480121531e-06 \tabularnewline
230 & 0.999999149160889 & 1.70167822283961e-06 & 8.50839111419803e-07 \tabularnewline
231 & 0.999998944729972 & 2.11054005677088e-06 & 1.05527002838544e-06 \tabularnewline
232 & 0.99999812228931 & 3.75542138022485e-06 & 1.87771069011243e-06 \tabularnewline
233 & 0.999998410675024 & 3.17864995270092e-06 & 1.58932497635046e-06 \tabularnewline
234 & 0.999997644015999 & 4.71196800178728e-06 & 2.35598400089364e-06 \tabularnewline
235 & 0.999997617151326 & 4.76569734716105e-06 & 2.38284867358052e-06 \tabularnewline
236 & 0.999995956719108 & 8.08656178410198e-06 & 4.04328089205099e-06 \tabularnewline
237 & 0.999999957810366 & 8.43792680994219e-08 & 4.21896340497109e-08 \tabularnewline
238 & 0.999999929558702 & 1.40882595493891e-07 & 7.04412977469456e-08 \tabularnewline
239 & 0.999999867371851 & 2.65256297837155e-07 & 1.32628148918578e-07 \tabularnewline
240 & 0.999999867432916 & 2.65134168108181e-07 & 1.32567084054091e-07 \tabularnewline
241 & 0.999999741891614 & 5.162167725712e-07 & 2.581083862856e-07 \tabularnewline
242 & 0.999999608244717 & 7.8351056589064e-07 & 3.9175528294532e-07 \tabularnewline
243 & 0.999999640699463 & 7.18601073275835e-07 & 3.59300536637917e-07 \tabularnewline
244 & 0.999999255956725 & 1.48808654959131e-06 & 7.44043274795653e-07 \tabularnewline
245 & 0.999998453232587 & 3.09353482641073e-06 & 1.54676741320537e-06 \tabularnewline
246 & 0.999996906102416 & 6.18779516834979e-06 & 3.09389758417489e-06 \tabularnewline
247 & 0.999996809578005 & 6.38084398947691e-06 & 3.19042199473845e-06 \tabularnewline
248 & 0.999996801353895 & 6.39729221078384e-06 & 3.19864610539192e-06 \tabularnewline
249 & 0.999994127071491 & 1.17458570187714e-05 & 5.87292850938572e-06 \tabularnewline
250 & 0.999990239269109 & 1.95214617814623e-05 & 9.76073089073115e-06 \tabularnewline
251 & 0.999988141742365 & 2.37165152694273e-05 & 1.18582576347136e-05 \tabularnewline
252 & 0.999981575634174 & 3.684873165292e-05 & 1.842436582646e-05 \tabularnewline
253 & 0.999963458771533 & 7.30824569336008e-05 & 3.65412284668004e-05 \tabularnewline
254 & 0.99992810836789 & 0.000143783264220276 & 7.1891632110138e-05 \tabularnewline
255 & 0.999860764622809 & 0.000278470754382283 & 0.000139235377191142 \tabularnewline
256 & 0.999738083405676 & 0.0005238331886484 & 0.0002619165943242 \tabularnewline
257 & 0.999623228952557 & 0.000753542094887002 & 0.000376771047443501 \tabularnewline
258 & 0.999508150630541 & 0.000983698738917658 & 0.000491849369458829 \tabularnewline
259 & 0.999169385367002 & 0.00166122926599579 & 0.000830614632997895 \tabularnewline
260 & 0.998484406727253 & 0.00303118654549347 & 0.00151559327274674 \tabularnewline
261 & 0.998704628205684 & 0.00259074358863244 & 0.00129537179431622 \tabularnewline
262 & 0.997609061474775 & 0.00478187705044999 & 0.002390938525225 \tabularnewline
263 & 0.996124798607587 & 0.00775040278482689 & 0.00387520139241345 \tabularnewline
264 & 0.995155802202822 & 0.00968839559435554 & 0.00484419779717777 \tabularnewline
265 & 0.994287548359707 & 0.0114249032805854 & 0.0057124516402927 \tabularnewline
266 & 0.989849449986094 & 0.0203011000278127 & 0.0101505500139064 \tabularnewline
267 & 0.990079026601926 & 0.0198419467961478 & 0.00992097339807388 \tabularnewline
268 & 0.986607331405106 & 0.0267853371897871 & 0.0133926685948936 \tabularnewline
269 & 0.998870867548512 & 0.00225826490297667 & 0.00112913245148834 \tabularnewline
270 & 0.998390067250046 & 0.00321986549990755 & 0.00160993274995377 \tabularnewline
271 & 0.998760800144461 & 0.0024783997110775 & 0.00123919985553875 \tabularnewline
272 & 0.996917525764845 & 0.00616494847030946 & 0.00308247423515473 \tabularnewline
273 & 0.996554373793102 & 0.00689125241379559 & 0.0034456262068978 \tabularnewline
274 & 0.991826880908997 & 0.0163462381820056 & 0.00817311909100282 \tabularnewline
275 & 0.985186812501764 & 0.0296263749964728 & 0.0148131874982364 \tabularnewline
276 & 0.966125782990137 & 0.0677484340197266 & 0.0338742170098633 \tabularnewline
277 & 0.925092062061797 & 0.149815875876405 & 0.0749079379382026 \tabularnewline
278 & 0.888454819974829 & 0.223090360050342 & 0.111545180025171 \tabularnewline
279 & 0.802396042203238 & 0.395207915593524 & 0.197603957796762 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203655&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]10[/C][C]0.372498679611881[/C][C]0.744997359223762[/C][C]0.627501320388119[/C][/ROW]
[ROW][C]11[/C][C]0.372600110363401[/C][C]0.745200220726803[/C][C]0.627399889636599[/C][/ROW]
[ROW][C]12[/C][C]0.894777369941568[/C][C]0.210445260116864[/C][C]0.105222630058432[/C][/ROW]
[ROW][C]13[/C][C]0.848666984375926[/C][C]0.302666031248147[/C][C]0.151333015624074[/C][/ROW]
[ROW][C]14[/C][C]0.775371340333203[/C][C]0.449257319333593[/C][C]0.224628659666797[/C][/ROW]
[ROW][C]15[/C][C]0.700719563938819[/C][C]0.598560872122362[/C][C]0.299280436061181[/C][/ROW]
[ROW][C]16[/C][C]0.658753434273157[/C][C]0.682493131453686[/C][C]0.341246565726843[/C][/ROW]
[ROW][C]17[/C][C]0.761988612412175[/C][C]0.47602277517565[/C][C]0.238011387587825[/C][/ROW]
[ROW][C]18[/C][C]0.738510012596312[/C][C]0.522979974807376[/C][C]0.261489987403688[/C][/ROW]
[ROW][C]19[/C][C]0.720929332860593[/C][C]0.558141334278814[/C][C]0.279070667139407[/C][/ROW]
[ROW][C]20[/C][C]0.790708191857752[/C][C]0.418583616284497[/C][C]0.209291808142248[/C][/ROW]
[ROW][C]21[/C][C]0.768852198045996[/C][C]0.462295603908008[/C][C]0.231147801954004[/C][/ROW]
[ROW][C]22[/C][C]0.707912511397032[/C][C]0.584174977205937[/C][C]0.292087488602968[/C][/ROW]
[ROW][C]23[/C][C]0.981596366179216[/C][C]0.0368072676415677[/C][C]0.0184036338207839[/C][/ROW]
[ROW][C]24[/C][C]0.973464232429022[/C][C]0.0530715351419557[/C][C]0.0265357675709779[/C][/ROW]
[ROW][C]25[/C][C]0.976100474354402[/C][C]0.0477990512911967[/C][C]0.0238995256455984[/C][/ROW]
[ROW][C]26[/C][C]0.997963387561207[/C][C]0.00407322487758701[/C][C]0.00203661243879351[/C][/ROW]
[ROW][C]27[/C][C]0.997680235535045[/C][C]0.00463952892990952[/C][C]0.00231976446495476[/C][/ROW]
[ROW][C]28[/C][C]0.996413654012516[/C][C]0.00717269197496781[/C][C]0.00358634598748391[/C][/ROW]
[ROW][C]29[/C][C]0.997457484647781[/C][C]0.00508503070443808[/C][C]0.00254251535221904[/C][/ROW]
[ROW][C]30[/C][C]0.996090640662802[/C][C]0.00781871867439699[/C][C]0.00390935933719849[/C][/ROW]
[ROW][C]31[/C][C]0.994637456598108[/C][C]0.0107250868037848[/C][C]0.00536254340189238[/C][/ROW]
[ROW][C]32[/C][C]0.992647220334828[/C][C]0.0147055593303449[/C][C]0.00735277966517243[/C][/ROW]
[ROW][C]33[/C][C]0.990848253755304[/C][C]0.0183034924893912[/C][C]0.00915174624469558[/C][/ROW]
[ROW][C]34[/C][C]0.995790711804632[/C][C]0.00841857639073518[/C][C]0.00420928819536759[/C][/ROW]
[ROW][C]35[/C][C]0.993878707768022[/C][C]0.0122425844639567[/C][C]0.00612129223197833[/C][/ROW]
[ROW][C]36[/C][C]0.991859046552745[/C][C]0.0162819068945095[/C][C]0.00814095344725476[/C][/ROW]
[ROW][C]37[/C][C]0.989096643847119[/C][C]0.0218067123057626[/C][C]0.0109033561528813[/C][/ROW]
[ROW][C]38[/C][C]0.987319179880673[/C][C]0.0253616402386543[/C][C]0.0126808201193272[/C][/ROW]
[ROW][C]39[/C][C]0.996183321040066[/C][C]0.00763335791986731[/C][C]0.00381667895993366[/C][/ROW]
[ROW][C]40[/C][C]0.995410548929917[/C][C]0.00917890214016534[/C][C]0.00458945107008267[/C][/ROW]
[ROW][C]41[/C][C]0.993568615649485[/C][C]0.0128627687010305[/C][C]0.00643138435051525[/C][/ROW]
[ROW][C]42[/C][C]0.991547732019315[/C][C]0.0169045359613705[/C][C]0.00845226798068527[/C][/ROW]
[ROW][C]43[/C][C]0.997204517220295[/C][C]0.00559096555940964[/C][C]0.00279548277970482[/C][/ROW]
[ROW][C]44[/C][C]0.99651272041829[/C][C]0.00697455916342044[/C][C]0.00348727958171022[/C][/ROW]
[ROW][C]45[/C][C]0.995383822571319[/C][C]0.00923235485736261[/C][C]0.0046161774286813[/C][/ROW]
[ROW][C]46[/C][C]0.993602057927103[/C][C]0.0127958841457934[/C][C]0.00639794207289672[/C][/ROW]
[ROW][C]47[/C][C]0.996402737814508[/C][C]0.00719452437098379[/C][C]0.0035972621854919[/C][/ROW]
[ROW][C]48[/C][C]0.995078795340154[/C][C]0.00984240931969137[/C][C]0.00492120465984568[/C][/ROW]
[ROW][C]49[/C][C]0.993798616502255[/C][C]0.0124027669954905[/C][C]0.00620138349774524[/C][/ROW]
[ROW][C]50[/C][C]0.998050681644945[/C][C]0.0038986367101093[/C][C]0.00194931835505465[/C][/ROW]
[ROW][C]51[/C][C]0.997796132784672[/C][C]0.00440773443065543[/C][C]0.00220386721532771[/C][/ROW]
[ROW][C]52[/C][C]0.996970671005903[/C][C]0.00605865798819326[/C][C]0.00302932899409663[/C][/ROW]
[ROW][C]53[/C][C]0.997312056182889[/C][C]0.00537588763422187[/C][C]0.00268794381711093[/C][/ROW]
[ROW][C]54[/C][C]0.998514735748252[/C][C]0.00297052850349688[/C][C]0.00148526425174844[/C][/ROW]
[ROW][C]55[/C][C]0.998838767589975[/C][C]0.00232246482004982[/C][C]0.00116123241002491[/C][/ROW]
[ROW][C]56[/C][C]0.99839380747811[/C][C]0.0032123850437795[/C][C]0.00160619252188975[/C][/ROW]
[ROW][C]57[/C][C]0.997792147351523[/C][C]0.00441570529695341[/C][C]0.00220785264847671[/C][/ROW]
[ROW][C]58[/C][C]0.999386270830837[/C][C]0.00122745833832613[/C][C]0.000613729169163065[/C][/ROW]
[ROW][C]59[/C][C]0.999147915483103[/C][C]0.00170416903379464[/C][C]0.000852084516897318[/C][/ROW]
[ROW][C]60[/C][C]0.998799476068778[/C][C]0.00240104786244377[/C][C]0.00120052393122189[/C][/ROW]
[ROW][C]61[/C][C]0.998336749232867[/C][C]0.00332650153426553[/C][C]0.00166325076713277[/C][/ROW]
[ROW][C]62[/C][C]0.997771953291552[/C][C]0.00445609341689548[/C][C]0.00222804670844774[/C][/ROW]
[ROW][C]63[/C][C]0.998436534462739[/C][C]0.00312693107452185[/C][C]0.00156346553726092[/C][/ROW]
[ROW][C]64[/C][C]0.997996248617404[/C][C]0.0040075027651923[/C][C]0.00200375138259615[/C][/ROW]
[ROW][C]65[/C][C]0.999739121899883[/C][C]0.000521756200234589[/C][C]0.000260878100117295[/C][/ROW]
[ROW][C]66[/C][C]0.999664600424743[/C][C]0.000670799150514115[/C][C]0.000335399575257058[/C][/ROW]
[ROW][C]67[/C][C]0.999811173926217[/C][C]0.000377652147566673[/C][C]0.000188826073783337[/C][/ROW]
[ROW][C]68[/C][C]0.99974068222503[/C][C]0.000518635549940619[/C][C]0.00025931777497031[/C][/ROW]
[ROW][C]69[/C][C]0.999678637692619[/C][C]0.000642724614762293[/C][C]0.000321362307381147[/C][/ROW]
[ROW][C]70[/C][C]0.999561181567134[/C][C]0.000877636865731675[/C][C]0.000438818432865838[/C][/ROW]
[ROW][C]71[/C][C]0.999429694179095[/C][C]0.00114061164180947[/C][C]0.000570305820904734[/C][/ROW]
[ROW][C]72[/C][C]0.999612317978832[/C][C]0.000775364042336131[/C][C]0.000387682021168065[/C][/ROW]
[ROW][C]73[/C][C]0.999549205954221[/C][C]0.000901588091557959[/C][C]0.00045079404577898[/C][/ROW]
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[ROW][C]99[/C][C]0.999997910293121[/C][C]4.17941375884883e-06[/C][C]2.08970687942442e-06[/C][/ROW]
[ROW][C]100[/C][C]0.999997767534942[/C][C]4.46493011639446e-06[/C][C]2.23246505819723e-06[/C][/ROW]
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[ROW][C]102[/C][C]0.999995077180514[/C][C]9.84563897186076e-06[/C][C]4.92281948593038e-06[/C][/ROW]
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[ROW][C]112[/C][C]0.99996643698905[/C][C]6.71260218998657e-05[/C][C]3.35630109499329e-05[/C][/ROW]
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[ROW][C]118[/C][C]0.999970470994335[/C][C]5.90580113305537e-05[/C][C]2.95290056652768e-05[/C][/ROW]
[ROW][C]119[/C][C]0.999957660378117[/C][C]8.46792437659852e-05[/C][C]4.23396218829926e-05[/C][/ROW]
[ROW][C]120[/C][C]0.999964974295414[/C][C]7.00514091720471e-05[/C][C]3.50257045860236e-05[/C][/ROW]
[ROW][C]121[/C][C]0.999952428240096[/C][C]9.51435198088416e-05[/C][C]4.75717599044208e-05[/C][/ROW]
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[ROW][C]125[/C][C]0.999996495240227[/C][C]7.00951954545118e-06[/C][C]3.50475977272559e-06[/C][/ROW]
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[ROW][C]202[/C][C]0.99999844334186[/C][C]3.11331627999384e-06[/C][C]1.55665813999692e-06[/C][/ROW]
[ROW][C]203[/C][C]0.999998369984695[/C][C]3.26003061077544e-06[/C][C]1.63001530538772e-06[/C][/ROW]
[ROW][C]204[/C][C]0.99999752671131[/C][C]4.94657737952297e-06[/C][C]2.47328868976148e-06[/C][/ROW]
[ROW][C]205[/C][C]0.999996851559646[/C][C]6.29688070825208e-06[/C][C]3.14844035412604e-06[/C][/ROW]
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[ROW][C]208[/C][C]0.999999722324666[/C][C]5.55350668029506e-07[/C][C]2.77675334014753e-07[/C][/ROW]
[ROW][C]209[/C][C]0.999999874893735[/C][C]2.50212529107457e-07[/C][C]1.25106264553729e-07[/C][/ROW]
[ROW][C]210[/C][C]0.999999926560783[/C][C]1.4687843415353e-07[/C][C]7.34392170767652e-08[/C][/ROW]
[ROW][C]211[/C][C]0.999999914283007[/C][C]1.71433986209292e-07[/C][C]8.57169931046462e-08[/C][/ROW]
[ROW][C]212[/C][C]0.999999954334511[/C][C]9.13309788423638e-08[/C][C]4.56654894211819e-08[/C][/ROW]
[ROW][C]213[/C][C]0.999999917961307[/C][C]1.64077385590432e-07[/C][C]8.20386927952159e-08[/C][/ROW]
[ROW][C]214[/C][C]0.999999904571318[/C][C]1.90857364676403e-07[/C][C]9.54286823382013e-08[/C][/ROW]
[ROW][C]215[/C][C]0.999999869593836[/C][C]2.60812327318645e-07[/C][C]1.30406163659323e-07[/C][/ROW]
[ROW][C]216[/C][C]0.99999978281136[/C][C]4.34377280914469e-07[/C][C]2.17188640457234e-07[/C][/ROW]
[ROW][C]217[/C][C]0.999999740157468[/C][C]5.19685064971015e-07[/C][C]2.59842532485507e-07[/C][/ROW]
[ROW][C]218[/C][C]0.999999595184473[/C][C]8.09631054013485e-07[/C][C]4.04815527006743e-07[/C][/ROW]
[ROW][C]219[/C][C]0.999999490773532[/C][C]1.01845293624718e-06[/C][C]5.09226468123591e-07[/C][/ROW]
[ROW][C]220[/C][C]0.999999769430651[/C][C]4.61138698202587e-07[/C][C]2.30569349101293e-07[/C][/ROW]
[ROW][C]221[/C][C]0.999999593455539[/C][C]8.13088921466329e-07[/C][C]4.06544460733164e-07[/C][/ROW]
[ROW][C]222[/C][C]0.999999347688737[/C][C]1.30462252554175e-06[/C][C]6.52311262770874e-07[/C][/ROW]
[ROW][C]223[/C][C]0.999999755292401[/C][C]4.89415198702697e-07[/C][C]2.44707599351349e-07[/C][/ROW]
[ROW][C]224[/C][C]0.99999964592845[/C][C]7.081431002715e-07[/C][C]3.5407155013575e-07[/C][/ROW]
[ROW][C]225[/C][C]0.999999375180971[/C][C]1.2496380579518e-06[/C][C]6.24819028975901e-07[/C][/ROW]
[ROW][C]226[/C][C]0.999999115293514[/C][C]1.76941297142283e-06[/C][C]8.84706485711417e-07[/C][/ROW]
[ROW][C]227[/C][C]0.999999012989373[/C][C]1.97402125345239e-06[/C][C]9.87010626726195e-07[/C][/ROW]
[ROW][C]228[/C][C]0.999998368436293[/C][C]3.26312741484942e-06[/C][C]1.63156370742471e-06[/C][/ROW]
[ROW][C]229[/C][C]0.999998242555199[/C][C]3.51488960243063e-06[/C][C]1.75744480121531e-06[/C][/ROW]
[ROW][C]230[/C][C]0.999999149160889[/C][C]1.70167822283961e-06[/C][C]8.50839111419803e-07[/C][/ROW]
[ROW][C]231[/C][C]0.999998944729972[/C][C]2.11054005677088e-06[/C][C]1.05527002838544e-06[/C][/ROW]
[ROW][C]232[/C][C]0.99999812228931[/C][C]3.75542138022485e-06[/C][C]1.87771069011243e-06[/C][/ROW]
[ROW][C]233[/C][C]0.999998410675024[/C][C]3.17864995270092e-06[/C][C]1.58932497635046e-06[/C][/ROW]
[ROW][C]234[/C][C]0.999997644015999[/C][C]4.71196800178728e-06[/C][C]2.35598400089364e-06[/C][/ROW]
[ROW][C]235[/C][C]0.999997617151326[/C][C]4.76569734716105e-06[/C][C]2.38284867358052e-06[/C][/ROW]
[ROW][C]236[/C][C]0.999995956719108[/C][C]8.08656178410198e-06[/C][C]4.04328089205099e-06[/C][/ROW]
[ROW][C]237[/C][C]0.999999957810366[/C][C]8.43792680994219e-08[/C][C]4.21896340497109e-08[/C][/ROW]
[ROW][C]238[/C][C]0.999999929558702[/C][C]1.40882595493891e-07[/C][C]7.04412977469456e-08[/C][/ROW]
[ROW][C]239[/C][C]0.999999867371851[/C][C]2.65256297837155e-07[/C][C]1.32628148918578e-07[/C][/ROW]
[ROW][C]240[/C][C]0.999999867432916[/C][C]2.65134168108181e-07[/C][C]1.32567084054091e-07[/C][/ROW]
[ROW][C]241[/C][C]0.999999741891614[/C][C]5.162167725712e-07[/C][C]2.581083862856e-07[/C][/ROW]
[ROW][C]242[/C][C]0.999999608244717[/C][C]7.8351056589064e-07[/C][C]3.9175528294532e-07[/C][/ROW]
[ROW][C]243[/C][C]0.999999640699463[/C][C]7.18601073275835e-07[/C][C]3.59300536637917e-07[/C][/ROW]
[ROW][C]244[/C][C]0.999999255956725[/C][C]1.48808654959131e-06[/C][C]7.44043274795653e-07[/C][/ROW]
[ROW][C]245[/C][C]0.999998453232587[/C][C]3.09353482641073e-06[/C][C]1.54676741320537e-06[/C][/ROW]
[ROW][C]246[/C][C]0.999996906102416[/C][C]6.18779516834979e-06[/C][C]3.09389758417489e-06[/C][/ROW]
[ROW][C]247[/C][C]0.999996809578005[/C][C]6.38084398947691e-06[/C][C]3.19042199473845e-06[/C][/ROW]
[ROW][C]248[/C][C]0.999996801353895[/C][C]6.39729221078384e-06[/C][C]3.19864610539192e-06[/C][/ROW]
[ROW][C]249[/C][C]0.999994127071491[/C][C]1.17458570187714e-05[/C][C]5.87292850938572e-06[/C][/ROW]
[ROW][C]250[/C][C]0.999990239269109[/C][C]1.95214617814623e-05[/C][C]9.76073089073115e-06[/C][/ROW]
[ROW][C]251[/C][C]0.999988141742365[/C][C]2.37165152694273e-05[/C][C]1.18582576347136e-05[/C][/ROW]
[ROW][C]252[/C][C]0.999981575634174[/C][C]3.684873165292e-05[/C][C]1.842436582646e-05[/C][/ROW]
[ROW][C]253[/C][C]0.999963458771533[/C][C]7.30824569336008e-05[/C][C]3.65412284668004e-05[/C][/ROW]
[ROW][C]254[/C][C]0.99992810836789[/C][C]0.000143783264220276[/C][C]7.1891632110138e-05[/C][/ROW]
[ROW][C]255[/C][C]0.999860764622809[/C][C]0.000278470754382283[/C][C]0.000139235377191142[/C][/ROW]
[ROW][C]256[/C][C]0.999738083405676[/C][C]0.0005238331886484[/C][C]0.0002619165943242[/C][/ROW]
[ROW][C]257[/C][C]0.999623228952557[/C][C]0.000753542094887002[/C][C]0.000376771047443501[/C][/ROW]
[ROW][C]258[/C][C]0.999508150630541[/C][C]0.000983698738917658[/C][C]0.000491849369458829[/C][/ROW]
[ROW][C]259[/C][C]0.999169385367002[/C][C]0.00166122926599579[/C][C]0.000830614632997895[/C][/ROW]
[ROW][C]260[/C][C]0.998484406727253[/C][C]0.00303118654549347[/C][C]0.00151559327274674[/C][/ROW]
[ROW][C]261[/C][C]0.998704628205684[/C][C]0.00259074358863244[/C][C]0.00129537179431622[/C][/ROW]
[ROW][C]262[/C][C]0.997609061474775[/C][C]0.00478187705044999[/C][C]0.002390938525225[/C][/ROW]
[ROW][C]263[/C][C]0.996124798607587[/C][C]0.00775040278482689[/C][C]0.00387520139241345[/C][/ROW]
[ROW][C]264[/C][C]0.995155802202822[/C][C]0.00968839559435554[/C][C]0.00484419779717777[/C][/ROW]
[ROW][C]265[/C][C]0.994287548359707[/C][C]0.0114249032805854[/C][C]0.0057124516402927[/C][/ROW]
[ROW][C]266[/C][C]0.989849449986094[/C][C]0.0203011000278127[/C][C]0.0101505500139064[/C][/ROW]
[ROW][C]267[/C][C]0.990079026601926[/C][C]0.0198419467961478[/C][C]0.00992097339807388[/C][/ROW]
[ROW][C]268[/C][C]0.986607331405106[/C][C]0.0267853371897871[/C][C]0.0133926685948936[/C][/ROW]
[ROW][C]269[/C][C]0.998870867548512[/C][C]0.00225826490297667[/C][C]0.00112913245148834[/C][/ROW]
[ROW][C]270[/C][C]0.998390067250046[/C][C]0.00321986549990755[/C][C]0.00160993274995377[/C][/ROW]
[ROW][C]271[/C][C]0.998760800144461[/C][C]0.0024783997110775[/C][C]0.00123919985553875[/C][/ROW]
[ROW][C]272[/C][C]0.996917525764845[/C][C]0.00616494847030946[/C][C]0.00308247423515473[/C][/ROW]
[ROW][C]273[/C][C]0.996554373793102[/C][C]0.00689125241379559[/C][C]0.0034456262068978[/C][/ROW]
[ROW][C]274[/C][C]0.991826880908997[/C][C]0.0163462381820056[/C][C]0.00817311909100282[/C][/ROW]
[ROW][C]275[/C][C]0.985186812501764[/C][C]0.0296263749964728[/C][C]0.0148131874982364[/C][/ROW]
[ROW][C]276[/C][C]0.966125782990137[/C][C]0.0677484340197266[/C][C]0.0338742170098633[/C][/ROW]
[ROW][C]277[/C][C]0.925092062061797[/C][C]0.149815875876405[/C][C]0.0749079379382026[/C][/ROW]
[ROW][C]278[/C][C]0.888454819974829[/C][C]0.223090360050342[/C][C]0.111545180025171[/C][/ROW]
[ROW][C]279[/C][C]0.802396042203238[/C][C]0.395207915593524[/C][C]0.197603957796762[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203655&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203655&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.3724986796118810.7449973592237620.627501320388119
110.3726001103634010.7452002207268030.627399889636599
120.8947773699415680.2104452601168640.105222630058432
130.8486669843759260.3026660312481470.151333015624074
140.7753713403332030.4492573193335930.224628659666797
150.7007195639388190.5985608721223620.299280436061181
160.6587534342731570.6824931314536860.341246565726843
170.7619886124121750.476022775175650.238011387587825
180.7385100125963120.5229799748073760.261489987403688
190.7209293328605930.5581413342788140.279070667139407
200.7907081918577520.4185836162844970.209291808142248
210.7688521980459960.4622956039080080.231147801954004
220.7079125113970320.5841749772059370.292087488602968
230.9815963661792160.03680726764156770.0184036338207839
240.9734642324290220.05307153514195570.0265357675709779
250.9761004743544020.04779905129119670.0238995256455984
260.9979633875612070.004073224877587010.00203661243879351
270.9976802355350450.004639528929909520.00231976446495476
280.9964136540125160.007172691974967810.00358634598748391
290.9974574846477810.005085030704438080.00254251535221904
300.9960906406628020.007818718674396990.00390935933719849
310.9946374565981080.01072508680378480.00536254340189238
320.9926472203348280.01470555933034490.00735277966517243
330.9908482537553040.01830349248939120.00915174624469558
340.9957907118046320.008418576390735180.00420928819536759
350.9938787077680220.01224258446395670.00612129223197833
360.9918590465527450.01628190689450950.00814095344725476
370.9890966438471190.02180671230576260.0109033561528813
380.9873191798806730.02536164023865430.0126808201193272
390.9961833210400660.007633357919867310.00381667895993366
400.9954105489299170.009178902140165340.00458945107008267
410.9935686156494850.01286276870103050.00643138435051525
420.9915477320193150.01690453596137050.00845226798068527
430.9972045172202950.005590965559409640.00279548277970482
440.996512720418290.006974559163420440.00348727958171022
450.9953838225713190.009232354857362610.0046161774286813
460.9936020579271030.01279588414579340.00639794207289672
470.9964027378145080.007194524370983790.0035972621854919
480.9950787953401540.009842409319691370.00492120465984568
490.9937986165022550.01240276699549050.00620138349774524
500.9980506816449450.00389863671010930.00194931835505465
510.9977961327846720.004407734430655430.00220386721532771
520.9969706710059030.006058657988193260.00302932899409663
530.9973120561828890.005375887634221870.00268794381711093
540.9985147357482520.002970528503496880.00148526425174844
550.9988387675899750.002322464820049820.00116123241002491
560.998393807478110.00321238504377950.00160619252188975
570.9977921473515230.004415705296953410.00220785264847671
580.9993862708308370.001227458338326130.000613729169163065
590.9991479154831030.001704169033794640.000852084516897318
600.9987994760687780.002401047862443770.00120052393122189
610.9983367492328670.003326501534265530.00166325076713277
620.9977719532915520.004456093416895480.00222804670844774
630.9984365344627390.003126931074521850.00156346553726092
640.9979962486174040.00400750276519230.00200375138259615
650.9997391218998830.0005217562002345890.000260878100117295
660.9996646004247430.0006707991505141150.000335399575257058
670.9998111739262170.0003776521475666730.000188826073783337
680.999740682225030.0005186355499406190.00025931777497031
690.9996786376926190.0006427246147622930.000321362307381147
700.9995611815671340.0008776368657316750.000438818432865838
710.9994296941790950.001140611641809470.000570305820904734
720.9996123179788320.0007753640423361310.000387682021168065
730.9995492059542210.0009015880915579590.00045079404577898
740.9995543257340390.0008913485319210340.000445674265960517
750.9996141975766290.0007716048467430950.000385802423371547
760.9995087354907410.0009825290185170520.000491264509258526
770.999343140277440.001313719445119140.000656859722559568
780.9991162168490340.001767566301932850.000883783150966423
790.9988021474821540.002395705035692230.00119785251784611
800.9984982389739250.003003522052149510.00150176102607476
810.9980039351441130.003992129711774230.00199606485588711
820.9979787309155550.004042538168889880.00202126908444494
830.9997245474372550.0005509051254906360.000275452562745318
840.9998069195810150.0003861608379709280.000193080418985464
850.9998246734293250.0003506531413498490.000175326570674924
860.9997985358957270.000402928208546460.00020146410427323
870.999718061324070.0005638773518589680.000281938675929484
880.9996139715338110.0007720569323786230.000386028466189311
890.9998899397220070.0002201205559867950.000110060277993397
900.9998776517587140.0002446964825720850.000122348241286042
910.9998359581156130.0003280837687732760.000164041884386638
920.9997694934017760.000461013196448550.000230506598224275
930.9997007529226310.0005984941547378590.000299247077368929
940.9995866201656470.0008267596687067330.000413379834353366
950.999481628447750.001036743104499390.000518371552249696
960.9995202226521130.0009595546957742630.000479777347887131
970.9996129638670830.0007740722658339730.000387036132916987
980.9999983185455513.3629088990096e-061.6814544495048e-06
990.9999979102931214.17941375884883e-062.08970687942442e-06
1000.9999977675349424.46493011639446e-062.23246505819723e-06
1010.9999966329545796.73409084296502e-063.36704542148251e-06
1020.9999950771805149.84563897186076e-064.92281948593038e-06
1030.9999969450271186.10994576474496e-063.05497288237248e-06
1040.9999955839813468.83203730810244e-064.41601865405122e-06
1050.9999935976199171.28047601656515e-056.40238008282574e-06
1060.9999911546832311.76906335372535e-058.84531676862676e-06
1070.9999901049861441.97900277116237e-059.89501385581184e-06
1080.9999896761032392.06477935214733e-051.03238967607367e-05
1090.999985286355772.94272884600458e-051.47136442300229e-05
1100.9999830912420243.38175159519021e-051.69087579759511e-05
1110.9999755550184624.88899630752443e-052.44449815376222e-05
1120.999966436989056.71260218998657e-053.35630109499329e-05
1130.9999619253976817.61492046388018e-053.80746023194009e-05
1140.9999455810561880.0001088378876239795.44189438119894e-05
1150.9999726418565765.47162868487428e-052.73581434243714e-05
1160.9999614854999777.70290000452946e-053.85145000226473e-05
1170.9999504699245359.90601509310128e-054.95300754655064e-05
1180.9999704709943355.90580113305537e-052.95290056652768e-05
1190.9999576603781178.46792437659852e-054.23396218829926e-05
1200.9999649742954147.00514091720471e-053.50257045860236e-05
1210.9999524282400969.51435198088416e-054.75717599044208e-05
1220.9999578884730828.42230538361556e-054.21115269180778e-05
1230.9999734410122295.3117975541385e-052.65589877706925e-05
1240.9999772890671774.54218656454397e-052.27109328227198e-05
1250.9999964952402277.00951954545118e-063.50475977272559e-06
1260.9999958670703888.26585922409197e-064.13292961204598e-06
1270.9999947132027011.05735945976133e-055.28679729880665e-06
1280.9999949959988991.00080022018409e-055.00400110092047e-06
1290.9999937627614141.24744771728849e-056.23723858644245e-06
1300.9999909332121491.81335757021616e-059.06678785108082e-06
1310.9999867149579512.6570084098676e-051.3285042049338e-05
1320.9999858213069152.83573861696509e-051.41786930848255e-05
1330.9999825830098593.48339802813207e-051.74169901406603e-05
1340.9999968045293016.39094139799299e-063.1954706989965e-06
1350.9999969830056836.03398863349746e-063.01699431674873e-06
1360.9999986022096362.79558072787059e-061.39779036393529e-06
1370.9999979462379364.10752412729824e-062.05376206364912e-06
1380.9999991819694351.63606112936291e-068.18030564681453e-07
1390.9999992641657331.47166853338147e-067.35834266690734e-07
1400.9999989611325812.07773483771843e-061.03886741885921e-06
1410.9999986886701682.62265966371409e-061.31132983185705e-06
1420.9999987128709622.57425807641439e-061.28712903820719e-06
1430.9999981148393123.77032137544142e-061.88516068772071e-06
1440.9999972778116145.44437677126533e-062.72218838563266e-06
1450.9999965956367866.80872642796981e-063.40436321398491e-06
1460.9999983949788543.21004229104772e-061.60502114552386e-06
1470.9999977878918644.42421627296546e-062.21210813648273e-06
1480.9999976262170984.74756580315478e-062.37378290157739e-06
1490.9999966354956556.72900869014602e-063.36450434507301e-06
1500.9999950570026099.88599478172139e-064.94299739086069e-06
1510.9999955391002688.92179946372661e-064.46089973186331e-06
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1580.9999961146986797.77060264236791e-063.88530132118396e-06
1590.9999950325940639.93481187480606e-064.96740593740303e-06
1600.99999295181371.40963726009467e-057.04818630047337e-06
1610.9999905395296821.89209406364198e-059.46047031820988e-06
1620.9999872764039642.54471920710193e-051.27235960355096e-05
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1670.9999792004271274.15991457463084e-052.07995728731542e-05
1680.9999699716281336.00567437349895e-053.00283718674948e-05
1690.999959359646548.12807069196388e-054.06403534598194e-05
1700.9999993723999371.25520012608274e-066.2760006304137e-07
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1770.9999999017896861.96420627765429e-079.82103138827146e-08
1780.9999998504179972.99164005459567e-071.49582002729784e-07
1790.9999997801003434.39799313764662e-072.19899656882331e-07
1800.9999999244912741.5101745203988e-077.55087260199401e-08
1810.9999998960710912.07857817740014e-071.03928908870007e-07
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1830.9999999150330591.6993388283463e-078.49669414173149e-08
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1850.999999979723864.05522800349733e-082.02761400174867e-08
1860.9999999693531396.12937223166927e-083.06468611583464e-08
1870.999999950517029.89659601066127e-084.94829800533064e-08
1880.9999999215597111.5688057754858e-077.84402887742899e-08
1890.9999998794355632.41128874371557e-071.20564437185779e-07
1900.9999998054186673.89162666267297e-071.94581333133648e-07
1910.9999999376116451.24776709962017e-076.23883549810086e-08
1920.9999999101277341.79744532312105e-078.98722661560524e-08
1930.9999998888826182.22234764204348e-071.11117382102174e-07
1940.9999999108223391.78355322557464e-078.91776612787321e-08
1950.9999999205891681.58821663786239e-077.94108318931197e-08
1960.9999998867594552.26481090376156e-071.13240545188078e-07
1970.9999998139604683.72079064019685e-071.86039532009842e-07
1980.9999997388192865.22361427992411e-072.61180713996206e-07
1990.999999621524537.56950940667286e-073.78475470333643e-07
2000.9999994064065121.18718697697482e-065.93593488487408e-07
2010.9999990522575461.89548490846155e-069.47742454230773e-07
2020.999998443341863.11331627999384e-061.55665813999692e-06
2030.9999983699846953.26003061077544e-061.63001530538772e-06
2040.999997526711314.94657737952297e-062.47328868976148e-06
2050.9999968515596466.29688070825208e-063.14844035412604e-06
2060.9999955252528988.94949420461922e-064.47474710230961e-06
2070.999993496286571.30074268590875e-056.50371342954374e-06
2080.9999997223246665.55350668029506e-072.77675334014753e-07
2090.9999998748937352.50212529107457e-071.25106264553729e-07
2100.9999999265607831.4687843415353e-077.34392170767652e-08
2110.9999999142830071.71433986209292e-078.57169931046462e-08
2120.9999999543345119.13309788423638e-084.56654894211819e-08
2130.9999999179613071.64077385590432e-078.20386927952159e-08
2140.9999999045713181.90857364676403e-079.54286823382013e-08
2150.9999998695938362.60812327318645e-071.30406163659323e-07
2160.999999782811364.34377280914469e-072.17188640457234e-07
2170.9999997401574685.19685064971015e-072.59842532485507e-07
2180.9999995951844738.09631054013485e-074.04815527006743e-07
2190.9999994907735321.01845293624718e-065.09226468123591e-07
2200.9999997694306514.61138698202587e-072.30569349101293e-07
2210.9999995934555398.13088921466329e-074.06544460733164e-07
2220.9999993476887371.30462252554175e-066.52311262770874e-07
2230.9999997552924014.89415198702697e-072.44707599351349e-07
2240.999999645928457.081431002715e-073.5407155013575e-07
2250.9999993751809711.2496380579518e-066.24819028975901e-07
2260.9999991152935141.76941297142283e-068.84706485711417e-07
2270.9999990129893731.97402125345239e-069.87010626726195e-07
2280.9999983684362933.26312741484942e-061.63156370742471e-06
2290.9999982425551993.51488960243063e-061.75744480121531e-06
2300.9999991491608891.70167822283961e-068.50839111419803e-07
2310.9999989447299722.11054005677088e-061.05527002838544e-06
2320.999998122289313.75542138022485e-061.87771069011243e-06
2330.9999984106750243.17864995270092e-061.58932497635046e-06
2340.9999976440159994.71196800178728e-062.35598400089364e-06
2350.9999976171513264.76569734716105e-062.38284867358052e-06
2360.9999959567191088.08656178410198e-064.04328089205099e-06
2370.9999999578103668.43792680994219e-084.21896340497109e-08
2380.9999999295587021.40882595493891e-077.04412977469456e-08
2390.9999998673718512.65256297837155e-071.32628148918578e-07
2400.9999998674329162.65134168108181e-071.32567084054091e-07
2410.9999997418916145.162167725712e-072.581083862856e-07
2420.9999996082447177.8351056589064e-073.9175528294532e-07
2430.9999996406994637.18601073275835e-073.59300536637917e-07
2440.9999992559567251.48808654959131e-067.44043274795653e-07
2450.9999984532325873.09353482641073e-061.54676741320537e-06
2460.9999969061024166.18779516834979e-063.09389758417489e-06
2470.9999968095780056.38084398947691e-063.19042199473845e-06
2480.9999968013538956.39729221078384e-063.19864610539192e-06
2490.9999941270714911.17458570187714e-055.87292850938572e-06
2500.9999902392691091.95214617814623e-059.76073089073115e-06
2510.9999881417423652.37165152694273e-051.18582576347136e-05
2520.9999815756341743.684873165292e-051.842436582646e-05
2530.9999634587715337.30824569336008e-053.65412284668004e-05
2540.999928108367890.0001437832642202767.1891632110138e-05
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2560.9997380834056760.00052383318864840.0002619165943242
2570.9996232289525570.0007535420948870020.000376771047443501
2580.9995081506305410.0009836987389176580.000491849369458829
2590.9991693853670020.001661229265995790.000830614632997895
2600.9984844067272530.003031186545493470.00151559327274674
2610.9987046282056840.002590743588632440.00129537179431622
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2660.9898494499860940.02030110002781270.0101505500139064
2670.9900790266019260.01984194679614780.00992097339807388
2680.9866073314051060.02678533718978710.0133926685948936
2690.9988708675485120.002258264902976670.00112913245148834
2700.9983900672500460.003219865499907550.00160993274995377
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2720.9969175257648450.006164948470309460.00308247423515473
2730.9965543737931020.006891252413795590.0034456262068978
2740.9918268809089970.01634623818200560.00817311909100282
2750.9851868125017640.02962637499647280.0148131874982364
2760.9661257829901370.06774843401972660.0338742170098633
2770.9250920620617970.1498158758764050.0749079379382026
2780.8884548199748290.2230903600503420.111545180025171
2790.8023960422032380.3952079155935240.197603957796762







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2330.862962962962963NOK
5% type I error level2520.933333333333333NOK
10% type I error level2540.940740740740741NOK

\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 & 233 & 0.862962962962963 & NOK \tabularnewline
5% type I error level & 252 & 0.933333333333333 & NOK \tabularnewline
10% type I error level & 254 & 0.940740740740741 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203655&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]233[/C][C]0.862962962962963[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]252[/C][C]0.933333333333333[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]254[/C][C]0.940740740740741[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203655&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203655&T=6

As an alternative you can also use a QR Code:  

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2330.862962962962963NOK
5% type I error level2520.933333333333333NOK
10% type I error level2540.940740740740741NOK



Parameters (Session):
par1 = 6 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 6 ; par2 = Do not include Seasonal Dummies ; par3 = 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')
}