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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 15 Dec 2011 08:08:55 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/15/t1323954579vlr5yo7yw4lcyoa.htm/, Retrieved Wed, 08 May 2024 19:27:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155391, Retrieved Wed, 08 May 2024 19:27:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2010-11-17 09:14:55] [b98453cac15ba1066b407e146608df68]
- R PD    [Multiple Regression] [Paper: Multiple r...] [2011-12-15 13:08:55] [2c2cb6cb648d5fcc3ba7513d13e1976e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10	14688	10	4	0	0	6023
10	46660	20	12	5	13	6179
10	7199	5	7	0	0	1644
10	21054	16	4	0	0	855
10	80953	25	49	8	27	56622
10	19349	11	13	1	0	3895
11	173260	63	41	21	78	37238
11	38214	34	16	8	21	8773
11	17547	5	0	1	4	3926
11	43287	14	13	19	64	43750
11	78800	42	20	26	66	33032
11	65029	17	21	18	61	32551
11	31414	19	18	8	9	14116
11	7176	17	0	0	0	1423
11	24188	24	8	4	7	5950
11	61857	25	23	11	30	25162
11	22938	10	12	1	0	1168
11	43410	19	7	1	3	2781
11	19764	12	10	2	4	5752
11	53117	22	3	12	32	32689
11	33170	18	1	18	22	22807
11	232138	62	131	31	90	161647
11	111665	34	39	28	80	49810
11	152871	58	59	28	90	79892
11	100750	72	83	30	93	140867
11	221698	45	105	33	110	77873
11	209641	42	62	24	60	97068
11	52746	25	0	26	70	68504
11	215641	46	71	32	92	55813
11	85439	33	32	28	78	56926
11	145790	63	30	26	99	38692
11	132943	40	83	39	156	97500
11	132487	41	71	36	98	40735
11	135473	41	82	23	66	99645
11	84853	31	38	30	109	61542
11	210767	60	94	35	133	117478
11	97839	38	25	24	66	94785
11	120221	37	53	22	69	43836
11	224549	50	54	31	114	120662
11	116408	61	34	39	31	71570
11	158015	29	59	31	114	71220
12	150629	44	85	33	113	71595
12	123185	40	49	22	51	38361
12	124817	40	47	25	81	30727
12	104389	45	135	41	148	123969
12	162765	32	68	28	107	120293
12	149061	44	43	26	93	116174
12	84207	29	14	30	101	111194
12	201940	38	109	31	92	85872
12	168809	66	76	28	100	72260
12	176508	54	60	38	93	83123
12	99466	50	28	23	69	192565
12	106408	30	33	14	37	31081
12	344297	75	80	30	108	67654
12	218946	41	76	29	96	80670
12	122774	45	24	24	69	15986
12	153935	33	50	25	84	65553
12	206161	71	75	28	99	73107
12	183167	66	91	39	138	82875
12	144966	144	39	32	50	37510
12	34662	25	18	6	7	36278
12	116048	64	50	20	50	33416
12	77945	20	28	19	67	25272
12	65490	22	27	16	40	18653
12	81872	45	32	16	61	27913
12	101011	34	30	13	39	27570
12	71965	35	32	15	56	46090
12	72880	33	14	19	67	24094
12	62792	35	28	15	51	30884
12	31774	23	0	17	47	4143
12	182192	52	77	40	138	70054
12	67989	21	23	18	57	33747
12	52915	14	20	18	49	24006
12	56375	30	10	13	40	41385
12	30989	14	5	17	41	4154
12	135131	66	38	15	60	34029
12	76990	27	42	17	67	24069
12	64175	42	37	18	59	21792
12	59194	31	7	24	68	37636
12	53515	28	5	22	81	12934
12	89746	36	28	18	55	24760
12	49862	37	17	14	54	36341
12	85574	34	37	21	36	24266
12	220801	75	51	18	63	44418
12	49289	19	15	24	44	10672
12	135781	31	45	14	44	24874
12	82316	32	27	10	38	21233
12	133368	36	37	16	57	32755
12	92499	32	25	18	55	21399
12	37460	20	5	7	14	3738
12	91735	35	7	18	49	16563
12	187681	62	114	28	91	92945
12	79619	43	42	11	32	20760
12	98104	54	55	17	47	25568
12	80949	17	11	16	56	18472
12	31706	13	26	10	25	25139
12	70344	28	20	16	61	28904
12	99923	66	44	25	80	32334
12	91899	35	18	15	33	36874
12	235454	73	151	32	106	89275
12	46455	20	22	17	12	11342
12	60812	44	26	13	43	22574
12	77648	47	31	16	52	21280
12	101523	42	59	22	87	61056
12	254488	83	120	39	117	103772
12	103597	43	27	16	49	23789
12	136084	30	27	13	41	27142
12	62088	38	13	16	38	14483
12	86680	31	37	14	49	22197
12	38395	31	16	16	43	16380
12	179321	89	108	30	103	101193
12	40248	16	8	4	7	5444
12	70551	31	23	15	47	30143
12	84105	20	17	17	63	20055
12	112611	41	46	20	73	26706
12	73624	24	30	17	40	19499
12	89806	42	27	16	40	27975
12	98866	18	25	13	39	23517
12	61254	46	36	14	30	13310
12	99643	55	33	17	46	54968
12	310839	92	130	24	85	162901
12	181633	70	47	30	73	64466
12	50090	20	16	17	36	21152
12	92661	61	40	17	41	35232
12	46698	45	14	13	33	10288
12	61361	77	27	12	25	13294
12	84337	26	38	14	35	24548
12	72535	14	17	16	39	19540
12	84856	29	29	17	43	41369
12	124064	40	43	22	86	22827
12	54157	19	37	15	30	18625
12	76302	31	29	20	68	30976
12	59382	49	29	12	24	26263
12	65745	53	26	21	42	38084
12	74914	30	35	23	79	65892
12	101645	63	20	11	38	17140
12	73504	35	23	7	3	35130
12	99373	63	12	18	62	28394
12	135458	81	43	12	29	19474
12	184510	49	64	40	140	110681
12	385534	92	121	25	91	119182
12	108043	62	45	14	38	34553
12	328107	65	129	41	144	105547
12	362301	119	76	34	110	100708
12	130585	46	67	29	107	95364
12	85709	44	21	10	35	35944
12	174184	53	72	25	70	55183
12	81437	38	37	14	40	28579
12	120982	56	58	28	103	84786
12	187559	121	75	36	116	73511
12	235800	94	105	23	62	149193
12	220516	62	98	32	119	55801
12	210907	56	79	30	94	112285
12	155754	61	74	20	31	40652
12	152299	53	62	33	98	61370
12	79863	37	29	22	49	29011
12	346485	90	118	38	111	106117
12	135649	46	99	30	108	62133
12	134019	53	32	18	54	28987
12	167488	45	69	28	72	83737
12	108446	60	22	17	65	46300
12	27634	20	2	16	17	5839
12	232317	54	118	33	106	129838
12	22648	19	12	13	28	44339
12	119308	30	32	16	58	23686
12	194979	62	66	40	151	74011
12	81240	66	58	17	50	45549
12	121848	39	37	17	52	30594
12	86678	40	12	15	50	29156
12	73566	32	22	23	67	22618
12	102010	53	28	13	44	44332
12	151101	32	48	35	124	83209
12	207176	70	56	32	114	87011
12	165543	65	70	32	90	51633
12	182999	88	73	34	104	225920
12	256462	105	123	35	124	105195
12	244052	68	101	44	164	143558
12	63123	43	34	17	60	39067
12	87186	54	28	15	48	51776
12	182079	63	124	33	118	102860
12	95227	34	37	32	48	34777
12	165446	33	69	25	60	57635
12	229242	247	63	31	119	91721
12	167542	66	59	28	70	55461
12	225060	93	93	41	139	109825
12	164709	109	81	31	63	87771
12	131698	65	60	19	59	65622
12	56613	19	15	12	35	8019
12	250579	83	130	38	120	103487
12	44296	25	10	20	38	18779
12	152474	65	106	32	83	65567
12	86230	44	21	17	54	18632
12	258873	60	104	40	124	80444
12	41566	35	0	9	27	13497
12	250047	81	41	18	61	83305
12	243511	71	133	42	110	101338
12	62215	27	24	10	25	19546
12	104838	49	46	16	52	29236
12	77272	59	21	16	48	27507
12	148446	91	135	37	129	126846
12	69304	30	40	19	40	22818
12	102538	57	50	15	45	45833
12	101097	64	30	14	41	31701
12	223632	73	105	33	120	72654
12	141722	94	19	27	36	75345
12	351067	95	136	45	160	213688
12	311473	112	128	38	129	132068
12	152601	48	46	24	46	73224
12	215147	58	101	36	117	99052
12	52164	52	32	16	43	16734
12	91005	29	29	11	23	32073
12	265318	117	110	52	197	115929
12	299775	95	91	31	97	98952
12	241066	82	75	45	93	67267
12	118612	46	54	12	43	30080
12	173326	88	86	44	148	71701
12	225548	112	81	31	94	85323
12	277965	89	115	39	133	139077
12	317394	86	116	31	82	91413
12	177939	82	55	36	73	46821
12	92630	40	27	8	24	18513
12	140344	53	33	25	73	51715
12	230964	53	102	30	115	133824
12	199476	70	87	32	105	135400
12	174724	92	123	34	120	69112
12	128423	64	32	38	120	92696
12	341570	168	94	21	78	117105
12	64187	27	10	16	54	20154
12	150580	77	27	22	71	45588
12	204713	71	68	33	69	41140
12	244749	95	98	33	115	76643
12	98146	40	15	17	48	27114
12	351619	139	95	40	141	115168
12	58981	36	0	23	61	42744
12	233328	132	92	28	102	120733
12	182613	39	81	28	99	138599
12	89113	39	19	14	32	82206
12	324799	154	158	47	168	97668
12	143246	103	67	27	104	106671
12	40151	29	16	9	19	13127
12	158399	39	23	18	57	32928
12	195838	67	111	31	98	102372
12	286468	144	57	29	107	89691
12	175824	107	57	20	77	39992
12	143756	46	105	34	120	69094
12	139942	42	54	22	87	65461
12	104011	55	25	22	79	63339
12	196553	57	41	29	99	95260
12	180083	66	63	34	70	53855
12	260561	75	114	43	158	90183
12	294424	77	107	33	124	101494
12	99611	35	41	21	67	45097
12	131069	67	47	30	83	51513
12	65475	18	16	13	46	69008
12	237213	84	78	38	123	66198
12	324598	110	113	37	133	135777
12	170266	62	44	42	122	74007
12	269651	67	106	30	93	70106
12	243060	63	58	29	104	111813
12	149112	56	56	35	95	60578
12	174415	100	73	31	114	82753
12	133131	55	44	30	90	57793
12	133328	55	56	20	56	40909
12	56653	45	38	18	49	27717
12	50857	21	15	20	37	36944
12	74408	67	29	7	21	34988
12	193339	78	100	35	71	84651
12	275541	63	116	33	115	93133
12	96560	76	42	17	38	22996
12	243199	75	88	28	105	95536
12	76702	49	35	21	42	49303
12	272458	65	100	43	152	93815
12	103425	67	17	19	46	25659
12	271856	103	109	37	86	54990
12	139526	151	28	21	77	48259
12	172494	52	46	43	139	86687
12	120445	118	36	16	56	51009
12	181528	54	32	16	60	40662
12	236785	119	77	31	71	101481
12	224330	83	131	39	132	130115
12	202925	61	115	36	134	114789
12	30837	19	8	4	4	2325
12	329267	259	79	39	140	115762
12	125930	75	37	17	65	32387
12	204271	42	92	35	116	74163
12	51567	30	21	14	45	28207
12	325107	99	84	36	126	79215
12	119016	52	118	23	74	78664
12	265769	146	96	32	120	83122

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 11 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155391&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]11 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155391&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155391&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Time_in_rfc[t] = -5997.01239720263 + 585.592363034369Maand[t] + 725.812132895495Logins[t] + 923.23515579036Blogged_computations[t] + 498.13690914022Compendiums_reviewed[t] + 265.209722745664Feedback_messages_p120[t] + 0.248211041258058Total_number_of_characters[t] + 28.0228838078404t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Time_in_rfc[t] =  -5997.01239720263 +  585.592363034369Maand[t] +  725.812132895495Logins[t] +  923.23515579036Blogged_computations[t] +  498.13690914022Compendiums_reviewed[t] +  265.209722745664Feedback_messages_p120[t] +  0.248211041258058Total_number_of_characters[t] +  28.0228838078404t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155391&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Time_in_rfc[t] =  -5997.01239720263 +  585.592363034369Maand[t] +  725.812132895495Logins[t] +  923.23515579036Blogged_computations[t] +  498.13690914022Compendiums_reviewed[t] +  265.209722745664Feedback_messages_p120[t] +  0.248211041258058Total_number_of_characters[t] +  28.0228838078404t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155391&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155391&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
Time_in_rfc[t] = -5997.01239720263 + 585.592363034369Maand[t] + 725.812132895495Logins[t] + 923.23515579036Blogged_computations[t] + 498.13690914022Compendiums_reviewed[t] + 265.209722745664Feedback_messages_p120[t] + 0.248211041258058Total_number_of_characters[t] + 28.0228838078404t + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-5997.0123972026372733.218133-0.08250.9343460.467173
Maand585.5923630343696385.6330910.09170.9269980.463499
Logins725.81213289549585.9782818.441800
Blogged_computations923.23515579036105.5681418.745400
Compendiums_reviewed498.13690914022533.7677030.93320.3514940.175747
Feedback_messages_p120265.209722745664149.7903751.77050.0777220.038861
Total_number_of_characters0.2482110412580580.091952.69940.0073670.003684
t28.022883807840434.734040.80680.4204730.210236

\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) & -5997.01239720263 & 72733.218133 & -0.0825 & 0.934346 & 0.467173 \tabularnewline
Maand & 585.592363034369 & 6385.633091 & 0.0917 & 0.926998 & 0.463499 \tabularnewline
Logins & 725.812132895495 & 85.978281 & 8.4418 & 0 & 0 \tabularnewline
Blogged_computations & 923.23515579036 & 105.568141 & 8.7454 & 0 & 0 \tabularnewline
Compendiums_reviewed & 498.13690914022 & 533.767703 & 0.9332 & 0.351494 & 0.175747 \tabularnewline
Feedback_messages_p120 & 265.209722745664 & 149.790375 & 1.7705 & 0.077722 & 0.038861 \tabularnewline
Total_number_of_characters & 0.248211041258058 & 0.09195 & 2.6994 & 0.007367 & 0.003684 \tabularnewline
t & 28.0228838078404 & 34.73404 & 0.8068 & 0.420473 & 0.210236 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155391&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]-5997.01239720263[/C][C]72733.218133[/C][C]-0.0825[/C][C]0.934346[/C][C]0.467173[/C][/ROW]
[ROW][C]Maand[/C][C]585.592363034369[/C][C]6385.633091[/C][C]0.0917[/C][C]0.926998[/C][C]0.463499[/C][/ROW]
[ROW][C]Logins[/C][C]725.812132895495[/C][C]85.978281[/C][C]8.4418[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Blogged_computations[/C][C]923.23515579036[/C][C]105.568141[/C][C]8.7454[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Compendiums_reviewed[/C][C]498.13690914022[/C][C]533.767703[/C][C]0.9332[/C][C]0.351494[/C][C]0.175747[/C][/ROW]
[ROW][C]Feedback_messages_p120[/C][C]265.209722745664[/C][C]149.790375[/C][C]1.7705[/C][C]0.077722[/C][C]0.038861[/C][/ROW]
[ROW][C]Total_number_of_characters[/C][C]0.248211041258058[/C][C]0.09195[/C][C]2.6994[/C][C]0.007367[/C][C]0.003684[/C][/ROW]
[ROW][C]t[/C][C]28.0228838078404[/C][C]34.73404[/C][C]0.8068[/C][C]0.420473[/C][C]0.210236[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155391&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155391&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-5997.0123972026372733.218133-0.08250.9343460.467173
Maand585.5923630343696385.6330910.09170.9269980.463499
Logins725.81213289549585.9782818.441800
Blogged_computations923.23515579036105.5681418.745400
Compendiums_reviewed498.13690914022533.7677030.93320.3514940.175747
Feedback_messages_p120265.209722745664149.7903751.77050.0777220.038861
Total_number_of_characters0.2482110412580580.091952.69940.0073670.003684
t28.022883807840434.734040.80680.4204730.210236






Multiple Linear Regression - Regression Statistics
Multiple R0.89739012255859
R-squared0.805309032065721
Adjusted R-squared0.800459079127856
F-TEST (value)166.044710615335
F-TEST (DF numerator)7
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation36781.0153662359
Sum Squared Residuals380148908675.329

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.89739012255859 \tabularnewline
R-squared & 0.805309032065721 \tabularnewline
Adjusted R-squared & 0.800459079127856 \tabularnewline
F-TEST (value) & 166.044710615335 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 281 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 36781.0153662359 \tabularnewline
Sum Squared Residuals & 380148908675.329 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155391&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.89739012255859[/C][/ROW]
[ROW][C]R-squared[/C][C]0.805309032065721[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.800459079127856[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]166.044710615335[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]281[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]36781.0153662359[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]380148908675.329[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155391&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155391&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.89739012255859
R-squared0.805309032065721
Adjusted R-squared0.800459079127856
F-TEST (value)166.044710615335
F-TEST (DF numerator)7
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation36781.0153662359
Sum Squared Residuals380148908675.329






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11468812332.97117056242355.02882943763
24666032982.128493479213677.8715065208
3719910442.7455914028-3243.74559140285
42105415489.15795813755564.8420418625
58095388582.8149736637-7629.81497366372
61934921477.9579379536-2128.95793795357
7173260124609.58576312548650.4142368748
83821451850.1165934684-13636.1165934684
9175476859.2225630254810687.7774369745
104328760185.4159044921-16898.4159044921
117880088355.8764691754-9555.87646917536
126502965731.297788691-702.297788690977
133141441093.1942511497-9679.19425114973
14717613528.8345404188-6352.83454041884
152418830996.0906803738-6808.09068037378
166185759953.86554571411903.13445428588
172293820045.88322467762892.11677532237
184341023186.033103379420223.9668966206
191976422403.8581597534-2639.85815975339
205311742320.658428632710796.3415713673
213317035482.8651869504-2312.86518695045
22232138246438.854104704-14300.8541047036
23111665109300.816758672364.18324133025
24152871155331.815718358-2460.8157183582
25100750204605.423428899-103855.423428899
26221698195714.86183300325983.1381669966
27209641140887.02923654268753.9707634575
285274667894.1370653665-15148.1370653665
29215641154387.29983173561253.7001682648
3085439103544.369045998-18105.3690459976
31145790123547.53583816922242.4641618313
32132943192002.871851899-59059.8718518988
33132487150711.610595435-18224.610595435
34135473160554.841686765-25081.8416867648
3584853118135.787523831-33282.7875238312
36210767213653.181681276-2886.1816812763
3797839105128.901308077-7289.90130807741
38120221117434.947430022786.05256998038
39224549163308.49435876861240.5056412323
40116408122643.25943641-6235.25943640985
41158015140466.61081264917548.3891873512
42150629176795.665339479-26166.6653394794
43123185110512.41952730812672.5804726916
44124817116249.8314203628567.16857963789
45104389250034.544557386-145645.544557386
46162765160508.4520365382256.54796346151
47149061140433.7504046728627.2495953284
4884207105678.906210188-21471.9062101876
49201940191772.62750783210167.3724921681
50168809178905.248332572-10096.2483325717
51176508161272.98070235715235.0192976434
5299466142181.855863656-42715.8558636561
5310640879257.756771866427150.2432281336
54344297191217.281231235153079.718768765
55218946162424.81230436156521.1876956387
5612277491641.225566082231132.7744339178
57153935123742.97633805730192.0236619432
58206161181780.28194092124380.7180590786
59183167211198.21729153-28031.2172915295
60144966181745.850587816-36779.8505878156
613466251352.9176669227-16690.9176669227
62116048126898.693524892-10850.6935248924
637794576668.8067914411276.19320855899
646549066927.2366616088-1437.23666160884
658187296132.9528006734-14260.9528006734
6610101178916.410896073322094.5891039267
677196591618.4238134133-19653.4238134133
687288073026.7941504546-146.794150454624
696279282881.1832507692-20089.1832507692
703177441646.8996507171-9872.89965071711
71182192185763.653004792-3571.65300479231
726798971984.0035377204-3995.00353772045
735291559622.1344890287-6707.13448902871
745637561466.8875768726-5091.88757687259
753098938282.3526376285-7293.3526376285
76135131117977.38234455617153.6176554444
777699093772.2325751704-16782.2325751704
786417597882.5442596892-33707.5442596892
795919471537.9437051807-12343.9437051808
805351563862.203314978-10347.203314978
818974684978.47519109784767.52480890224
824986276193.4982036102-26331.4982036102
838557488224.8228359073-2650.82283590727
84220801141604.6360396479196.3639603599
854928957324.4207972265-8035.42079722654
8613578192302.968066035943478.0319339642
878231671951.027904257310364.9720957427
8813336895002.344681934938365.6553180651
899249978695.466952939113803.5330470609
903746030812.28129342066647.71870657939
919173561519.109383016830215.8906169832
92187681215009.254724665-27328.2547246646
937961992741.1007559613-13122.1007559613
9498104120915.480109289-22811.4801092893
958094953593.552267991627355.4477320084
963170655011.3541091834-23305.3541091834
977034473858.0340957033-3514.03409570329
9899923133998.142554453-34075.1425544533
999189971202.527334814620696.4726651854
100235454262436.83097755-26982.8309775499
1014645553153.8770673801-6698.87706738012
1026081283311.1919478065-22499.1919478065
1037764893692.9401539963-16044.9401539963
104101523138086.490863477-36563.4908634768
105254488251217.3576753453270.64232465524
10610359787007.951984955916589.0480150441
10713608474816.580253074661267.4197469254
1086208865282.4860068793-3194.48600687928
1098668086223.2008035738456.79919642621
1103839564824.4572705924-26429.4572705924
111179321235825.241329975-56504.2413299747
1124024828367.810922728111880.1890772719
1137055175350.0025552255-4799.00255522553
1148410564590.357440440519514.6425595595
115112611112431.614223259179.385776741142
1167362473313.8798028231310.120197176863
1178980685242.51548794194563.48451205811
1189886663138.431598582435727.5684014176
1196125489222.5402234663-27968.5402234663
12099643109090.908684042-9447.90868404195
121310839266148.09046381644690.9095361836
122181633148953.3794289832679.6205710201
1235009057030.9532370479-6940.95323704792
12492661113795.777383181-21134.7773831815
1254669867901.0904584449-21203.0904584449
12661361101283.466319099-39922.4663190994
1278433780892.39524298623444.6047570138
1287253553636.806075093318898.1939249067
1298485682608.00744156292247.99255843712
130124064112837.62946504411226.3705349561
1315415772702.5009901992-18545.5009901992
1327630289688.6968030447-13386.6968030447
1335938285957.1963675912-26575.1963675912
1346574598309.8722260054-32564.8722260054
13574914107664.618650504-32750.6186505041
13610164588843.888357340312801.1116426597
1377350464509.30568701868994.69431298135
1389937394159.41164682875213.5883531713
139135458121917.55795878713540.4420412135
140184510184132.227982255377.772017745436
141385534249637.288470713135896.711529287
142108043117183.602010898-9140.60201089802
143328107256124.23620068371982.7637993166
144362301232709.468837977129591.531162023
145130585166831.336099879-36246.3360998794
1468570979630.51616863396078.48383136609
147174184154805.56734977519378.4326502251
1488143791593.973562946-10156.973562946
149120982161707.880367402-40725.8803674018
150187559229242.931716484-41683.9317164838
151235800235359.084863228440.915136772309
152220516202117.73421743918398.2657825605
153210907186642.85191135624264.1480886444
154155754146214.0765378729539.92346212837
155152299158744.048084598-6445.04808459794
1567986390185.6732018465-10322.6732018465
157346485254401.42189817692083.5781018239
158135649189254.204094512-53605.2040945122
159134019103979.98535914630039.0146408537
160167488155705.91055373611782.0894462637
161108446106600.812297491845.18770251029
1622763435860.5762083962-8226.57620839619
163232317230511.4033670381805.59663296165
1642264855402.1827122368-32754.1827122368
16511930886203.241948390233104.7580516098
166194979189958.259067755020.7409322501
16781240140195.735672993-58955.7356729929
16812184898057.316020501923790.6839794981
1698667873846.651401345412831.3485986546
1707356684171.3855519457-10605.3855519457
17110201099289.33599662612720.66400337388
172151101144365.4976771636735.50232283681
173207176176157.45328130931018.5467186914
174165543170335.464118181-4792.4641181805
175182999237796.039210419-54797.0392104186
176256462272161.679551142-15699.6795511424
177244052249637.2213583-5585.22135830037
17863123102695.857857336-39572.857857336
17987186104144.126900372-16958.1269003724
180182079239545.791724461-57466.7917244613
18195227102242.034377229-7015.03437722945
182165446136456.93640347628989.0635965236
183229242313366.061441336-84124.0614413358
184167542154839.32814992212702.6718500779
185225060244123.269654007-19063.2696540073
186164709214074.110470681-49365.1104706809
187131698150242.353081999-18544.3530819994
1885661351187.74352258295425.25647741714
189250579263030.383585445-12451.3835854452
1904429658433.9615539152-14137.9615539152
191152474205650.423341037-53176.4233410369
1928623085148.48237368421081.51762631577
193258873218782.26769908440090.7323009155
1944156646863.9591895281-5297.95918952809
195250047148959.46069769101087.539302309
196243511256093.548526166-12582.5485261659
1976221564768.3205689752-2553.32056897518
198104838113630.032762637-8792.03276263664
1997727296345.3022993226-19073.3022993226
200148446281448.020457765-133002.020457765
2016930491103.1355459821-21799.1355459821
202102538125006.515667594-22468.5156675935
203101097106583.826130681-5486.82613068089
204223632222967.951038038664.048961961945
205141722134241.3030612297480.69693877132
206351067319204.38137115431862.6186288462
207311473292217.88431128219255.1156887175
208152601126496.59368732726104.4063126732
209215147215778.999466797-631.999466797248
2105216497728.429643433-45564.429643433
2119100574305.498164516316699.5018354837
212265318300371.126470377-35053.1264703771
213299775225694.08825651874080.9117434818
214241066199563.30191475841502.6980852423
215118612115144.9216125563467.07838744373
216173326229318.77279225-55992.7727922498
217225548224734.137043526813.862956473704
218277965267129.08693959810835.9130604018
219317394236561.38637683580832.6136231647
220177939166404.3865150611534.61348494
2219263076128.247428730216501.7525712698
222140344120835.94583669319508.0541633071
223230964218577.04775771212386.9522422876
224199476215830.706755735-16354.7067557348
225174724253584.068328248-78860.0683282478
226128423157121.30914765-28698.3091476499
227341570276325.82100695865244.1789930421
2286418763542.5535135037644.446486496344
229150580129366.56705539721213.4329446026
230204713166737.40237277237975.5976272277
231244749232893.85496386811855.1450361318
2329814678340.805975150619805.1940248494
233351619282060.6706313569558.32936865
2345898171961.1622997273-12980.1622997273
235233328259326.798349164-25998.7983491638
236182613185337.615454876-2724.615454876
2378911389384.7252780933-271.725278093338
238324799357555.709514713-32756.7095147128
239143246211851.398009847-68605.398009847
2404015156356.3856727308-16205.3856727308
24115839989581.204450574168817.7955494259
242195838225762.806765527-29924.8067655271
243286468230066.71494184656401.2850581543
244175824178464.324504404-2640.32450440415
245143756204134.467288243-60378.4672882427
246139942138542.934221981399.06577801992
247104011118584.313703994-14573.313703994
248196553151550.02081313245002.9791868681
249180083162943.95074317417139.0492568259
250260561253427.9742590537133.02574094715
251294424237253.99074103457170.0092589657
25299611110771.428561051-11160.4285610514
253131069149883.960419162-18814.9604191616
2546547571788.2639314254-6313.26393142538
255237213209137.56559932528075.4344006753
256324598279774.17074908944823.8292509112
257170266165501.3670813674764.63291863338
258269651211762.034147457888.9658526003
259243060177342.828960565717.1710394999
260149112158328.537853733-9216.53785373258
261174415214537.809168882-40122.8091688825
262133131142071.948709635-8940.94870963534
263133328134989.498577572-1661.49857757169
26456653105014.025394422-48361.0253944217
2655085766492.14892858-15635.14892858
26674408101628.185927191-27220.1859271914
267193339214725.062869174-21386.0628691735
268275541231415.94628667444125.0537133257
26996560126760.008371261-30200.0083712609
270243199209784.82264589133414.1773541088
27176702110339.554850085-33637.5548500849
272272458233171.30835818139286.6916418194
273103425101037.849418792387.15058121024
274271856238987.87474503932868.1252549608
275139526187045.045819149-47519.0458191491
276172494168776.169055313717.83094468998
277120445163157.664087636-42712.664087636
278181528111533.36909005669994.6309099438
279236785225770.07052821711014.9294717831
280224330276793.718356457-52463.7183564568
281202925241314.038123668-38389.0381236676
2823083733739.3381628266-2902.33816282663
283329267355171.599003177-25904.5990031772
284125930131329.976119119-5399.97611911854
285204271191045.55686999413225.4431300057
2865156776116.5860789986-24549.5860789986
287325107229491.20928336395615.7907166371
288119016206392.607532624-87376.6075326241
289265769272125.201731712-6356.20173171153

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 14688 & 12332.9711705624 & 2355.02882943763 \tabularnewline
2 & 46660 & 32982.1284934792 & 13677.8715065208 \tabularnewline
3 & 7199 & 10442.7455914028 & -3243.74559140285 \tabularnewline
4 & 21054 & 15489.1579581375 & 5564.8420418625 \tabularnewline
5 & 80953 & 88582.8149736637 & -7629.81497366372 \tabularnewline
6 & 19349 & 21477.9579379536 & -2128.95793795357 \tabularnewline
7 & 173260 & 124609.585763125 & 48650.4142368748 \tabularnewline
8 & 38214 & 51850.1165934684 & -13636.1165934684 \tabularnewline
9 & 17547 & 6859.22256302548 & 10687.7774369745 \tabularnewline
10 & 43287 & 60185.4159044921 & -16898.4159044921 \tabularnewline
11 & 78800 & 88355.8764691754 & -9555.87646917536 \tabularnewline
12 & 65029 & 65731.297788691 & -702.297788690977 \tabularnewline
13 & 31414 & 41093.1942511497 & -9679.19425114973 \tabularnewline
14 & 7176 & 13528.8345404188 & -6352.83454041884 \tabularnewline
15 & 24188 & 30996.0906803738 & -6808.09068037378 \tabularnewline
16 & 61857 & 59953.8655457141 & 1903.13445428588 \tabularnewline
17 & 22938 & 20045.8832246776 & 2892.11677532237 \tabularnewline
18 & 43410 & 23186.0331033794 & 20223.9668966206 \tabularnewline
19 & 19764 & 22403.8581597534 & -2639.85815975339 \tabularnewline
20 & 53117 & 42320.6584286327 & 10796.3415713673 \tabularnewline
21 & 33170 & 35482.8651869504 & -2312.86518695045 \tabularnewline
22 & 232138 & 246438.854104704 & -14300.8541047036 \tabularnewline
23 & 111665 & 109300.81675867 & 2364.18324133025 \tabularnewline
24 & 152871 & 155331.815718358 & -2460.8157183582 \tabularnewline
25 & 100750 & 204605.423428899 & -103855.423428899 \tabularnewline
26 & 221698 & 195714.861833003 & 25983.1381669966 \tabularnewline
27 & 209641 & 140887.029236542 & 68753.9707634575 \tabularnewline
28 & 52746 & 67894.1370653665 & -15148.1370653665 \tabularnewline
29 & 215641 & 154387.299831735 & 61253.7001682648 \tabularnewline
30 & 85439 & 103544.369045998 & -18105.3690459976 \tabularnewline
31 & 145790 & 123547.535838169 & 22242.4641618313 \tabularnewline
32 & 132943 & 192002.871851899 & -59059.8718518988 \tabularnewline
33 & 132487 & 150711.610595435 & -18224.610595435 \tabularnewline
34 & 135473 & 160554.841686765 & -25081.8416867648 \tabularnewline
35 & 84853 & 118135.787523831 & -33282.7875238312 \tabularnewline
36 & 210767 & 213653.181681276 & -2886.1816812763 \tabularnewline
37 & 97839 & 105128.901308077 & -7289.90130807741 \tabularnewline
38 & 120221 & 117434.94743002 & 2786.05256998038 \tabularnewline
39 & 224549 & 163308.494358768 & 61240.5056412323 \tabularnewline
40 & 116408 & 122643.25943641 & -6235.25943640985 \tabularnewline
41 & 158015 & 140466.610812649 & 17548.3891873512 \tabularnewline
42 & 150629 & 176795.665339479 & -26166.6653394794 \tabularnewline
43 & 123185 & 110512.419527308 & 12672.5804726916 \tabularnewline
44 & 124817 & 116249.831420362 & 8567.16857963789 \tabularnewline
45 & 104389 & 250034.544557386 & -145645.544557386 \tabularnewline
46 & 162765 & 160508.452036538 & 2256.54796346151 \tabularnewline
47 & 149061 & 140433.750404672 & 8627.2495953284 \tabularnewline
48 & 84207 & 105678.906210188 & -21471.9062101876 \tabularnewline
49 & 201940 & 191772.627507832 & 10167.3724921681 \tabularnewline
50 & 168809 & 178905.248332572 & -10096.2483325717 \tabularnewline
51 & 176508 & 161272.980702357 & 15235.0192976434 \tabularnewline
52 & 99466 & 142181.855863656 & -42715.8558636561 \tabularnewline
53 & 106408 & 79257.7567718664 & 27150.2432281336 \tabularnewline
54 & 344297 & 191217.281231235 & 153079.718768765 \tabularnewline
55 & 218946 & 162424.812304361 & 56521.1876956387 \tabularnewline
56 & 122774 & 91641.2255660822 & 31132.7744339178 \tabularnewline
57 & 153935 & 123742.976338057 & 30192.0236619432 \tabularnewline
58 & 206161 & 181780.281940921 & 24380.7180590786 \tabularnewline
59 & 183167 & 211198.21729153 & -28031.2172915295 \tabularnewline
60 & 144966 & 181745.850587816 & -36779.8505878156 \tabularnewline
61 & 34662 & 51352.9176669227 & -16690.9176669227 \tabularnewline
62 & 116048 & 126898.693524892 & -10850.6935248924 \tabularnewline
63 & 77945 & 76668.806791441 & 1276.19320855899 \tabularnewline
64 & 65490 & 66927.2366616088 & -1437.23666160884 \tabularnewline
65 & 81872 & 96132.9528006734 & -14260.9528006734 \tabularnewline
66 & 101011 & 78916.4108960733 & 22094.5891039267 \tabularnewline
67 & 71965 & 91618.4238134133 & -19653.4238134133 \tabularnewline
68 & 72880 & 73026.7941504546 & -146.794150454624 \tabularnewline
69 & 62792 & 82881.1832507692 & -20089.1832507692 \tabularnewline
70 & 31774 & 41646.8996507171 & -9872.89965071711 \tabularnewline
71 & 182192 & 185763.653004792 & -3571.65300479231 \tabularnewline
72 & 67989 & 71984.0035377204 & -3995.00353772045 \tabularnewline
73 & 52915 & 59622.1344890287 & -6707.13448902871 \tabularnewline
74 & 56375 & 61466.8875768726 & -5091.88757687259 \tabularnewline
75 & 30989 & 38282.3526376285 & -7293.3526376285 \tabularnewline
76 & 135131 & 117977.382344556 & 17153.6176554444 \tabularnewline
77 & 76990 & 93772.2325751704 & -16782.2325751704 \tabularnewline
78 & 64175 & 97882.5442596892 & -33707.5442596892 \tabularnewline
79 & 59194 & 71537.9437051807 & -12343.9437051808 \tabularnewline
80 & 53515 & 63862.203314978 & -10347.203314978 \tabularnewline
81 & 89746 & 84978.4751910978 & 4767.52480890224 \tabularnewline
82 & 49862 & 76193.4982036102 & -26331.4982036102 \tabularnewline
83 & 85574 & 88224.8228359073 & -2650.82283590727 \tabularnewline
84 & 220801 & 141604.63603964 & 79196.3639603599 \tabularnewline
85 & 49289 & 57324.4207972265 & -8035.42079722654 \tabularnewline
86 & 135781 & 92302.9680660359 & 43478.0319339642 \tabularnewline
87 & 82316 & 71951.0279042573 & 10364.9720957427 \tabularnewline
88 & 133368 & 95002.3446819349 & 38365.6553180651 \tabularnewline
89 & 92499 & 78695.4669529391 & 13803.5330470609 \tabularnewline
90 & 37460 & 30812.2812934206 & 6647.71870657939 \tabularnewline
91 & 91735 & 61519.1093830168 & 30215.8906169832 \tabularnewline
92 & 187681 & 215009.254724665 & -27328.2547246646 \tabularnewline
93 & 79619 & 92741.1007559613 & -13122.1007559613 \tabularnewline
94 & 98104 & 120915.480109289 & -22811.4801092893 \tabularnewline
95 & 80949 & 53593.5522679916 & 27355.4477320084 \tabularnewline
96 & 31706 & 55011.3541091834 & -23305.3541091834 \tabularnewline
97 & 70344 & 73858.0340957033 & -3514.03409570329 \tabularnewline
98 & 99923 & 133998.142554453 & -34075.1425544533 \tabularnewline
99 & 91899 & 71202.5273348146 & 20696.4726651854 \tabularnewline
100 & 235454 & 262436.83097755 & -26982.8309775499 \tabularnewline
101 & 46455 & 53153.8770673801 & -6698.87706738012 \tabularnewline
102 & 60812 & 83311.1919478065 & -22499.1919478065 \tabularnewline
103 & 77648 & 93692.9401539963 & -16044.9401539963 \tabularnewline
104 & 101523 & 138086.490863477 & -36563.4908634768 \tabularnewline
105 & 254488 & 251217.357675345 & 3270.64232465524 \tabularnewline
106 & 103597 & 87007.9519849559 & 16589.0480150441 \tabularnewline
107 & 136084 & 74816.5802530746 & 61267.4197469254 \tabularnewline
108 & 62088 & 65282.4860068793 & -3194.48600687928 \tabularnewline
109 & 86680 & 86223.2008035738 & 456.79919642621 \tabularnewline
110 & 38395 & 64824.4572705924 & -26429.4572705924 \tabularnewline
111 & 179321 & 235825.241329975 & -56504.2413299747 \tabularnewline
112 & 40248 & 28367.8109227281 & 11880.1890772719 \tabularnewline
113 & 70551 & 75350.0025552255 & -4799.00255522553 \tabularnewline
114 & 84105 & 64590.3574404405 & 19514.6425595595 \tabularnewline
115 & 112611 & 112431.614223259 & 179.385776741142 \tabularnewline
116 & 73624 & 73313.8798028231 & 310.120197176863 \tabularnewline
117 & 89806 & 85242.5154879419 & 4563.48451205811 \tabularnewline
118 & 98866 & 63138.4315985824 & 35727.5684014176 \tabularnewline
119 & 61254 & 89222.5402234663 & -27968.5402234663 \tabularnewline
120 & 99643 & 109090.908684042 & -9447.90868404195 \tabularnewline
121 & 310839 & 266148.090463816 & 44690.9095361836 \tabularnewline
122 & 181633 & 148953.37942898 & 32679.6205710201 \tabularnewline
123 & 50090 & 57030.9532370479 & -6940.95323704792 \tabularnewline
124 & 92661 & 113795.777383181 & -21134.7773831815 \tabularnewline
125 & 46698 & 67901.0904584449 & -21203.0904584449 \tabularnewline
126 & 61361 & 101283.466319099 & -39922.4663190994 \tabularnewline
127 & 84337 & 80892.3952429862 & 3444.6047570138 \tabularnewline
128 & 72535 & 53636.8060750933 & 18898.1939249067 \tabularnewline
129 & 84856 & 82608.0074415629 & 2247.99255843712 \tabularnewline
130 & 124064 & 112837.629465044 & 11226.3705349561 \tabularnewline
131 & 54157 & 72702.5009901992 & -18545.5009901992 \tabularnewline
132 & 76302 & 89688.6968030447 & -13386.6968030447 \tabularnewline
133 & 59382 & 85957.1963675912 & -26575.1963675912 \tabularnewline
134 & 65745 & 98309.8722260054 & -32564.8722260054 \tabularnewline
135 & 74914 & 107664.618650504 & -32750.6186505041 \tabularnewline
136 & 101645 & 88843.8883573403 & 12801.1116426597 \tabularnewline
137 & 73504 & 64509.3056870186 & 8994.69431298135 \tabularnewline
138 & 99373 & 94159.4116468287 & 5213.5883531713 \tabularnewline
139 & 135458 & 121917.557958787 & 13540.4420412135 \tabularnewline
140 & 184510 & 184132.227982255 & 377.772017745436 \tabularnewline
141 & 385534 & 249637.288470713 & 135896.711529287 \tabularnewline
142 & 108043 & 117183.602010898 & -9140.60201089802 \tabularnewline
143 & 328107 & 256124.236200683 & 71982.7637993166 \tabularnewline
144 & 362301 & 232709.468837977 & 129591.531162023 \tabularnewline
145 & 130585 & 166831.336099879 & -36246.3360998794 \tabularnewline
146 & 85709 & 79630.5161686339 & 6078.48383136609 \tabularnewline
147 & 174184 & 154805.567349775 & 19378.4326502251 \tabularnewline
148 & 81437 & 91593.973562946 & -10156.973562946 \tabularnewline
149 & 120982 & 161707.880367402 & -40725.8803674018 \tabularnewline
150 & 187559 & 229242.931716484 & -41683.9317164838 \tabularnewline
151 & 235800 & 235359.084863228 & 440.915136772309 \tabularnewline
152 & 220516 & 202117.734217439 & 18398.2657825605 \tabularnewline
153 & 210907 & 186642.851911356 & 24264.1480886444 \tabularnewline
154 & 155754 & 146214.076537872 & 9539.92346212837 \tabularnewline
155 & 152299 & 158744.048084598 & -6445.04808459794 \tabularnewline
156 & 79863 & 90185.6732018465 & -10322.6732018465 \tabularnewline
157 & 346485 & 254401.421898176 & 92083.5781018239 \tabularnewline
158 & 135649 & 189254.204094512 & -53605.2040945122 \tabularnewline
159 & 134019 & 103979.985359146 & 30039.0146408537 \tabularnewline
160 & 167488 & 155705.910553736 & 11782.0894462637 \tabularnewline
161 & 108446 & 106600.81229749 & 1845.18770251029 \tabularnewline
162 & 27634 & 35860.5762083962 & -8226.57620839619 \tabularnewline
163 & 232317 & 230511.403367038 & 1805.59663296165 \tabularnewline
164 & 22648 & 55402.1827122368 & -32754.1827122368 \tabularnewline
165 & 119308 & 86203.2419483902 & 33104.7580516098 \tabularnewline
166 & 194979 & 189958.25906775 & 5020.7409322501 \tabularnewline
167 & 81240 & 140195.735672993 & -58955.7356729929 \tabularnewline
168 & 121848 & 98057.3160205019 & 23790.6839794981 \tabularnewline
169 & 86678 & 73846.6514013454 & 12831.3485986546 \tabularnewline
170 & 73566 & 84171.3855519457 & -10605.3855519457 \tabularnewline
171 & 102010 & 99289.3359966261 & 2720.66400337388 \tabularnewline
172 & 151101 & 144365.497677163 & 6735.50232283681 \tabularnewline
173 & 207176 & 176157.453281309 & 31018.5467186914 \tabularnewline
174 & 165543 & 170335.464118181 & -4792.4641181805 \tabularnewline
175 & 182999 & 237796.039210419 & -54797.0392104186 \tabularnewline
176 & 256462 & 272161.679551142 & -15699.6795511424 \tabularnewline
177 & 244052 & 249637.2213583 & -5585.22135830037 \tabularnewline
178 & 63123 & 102695.857857336 & -39572.857857336 \tabularnewline
179 & 87186 & 104144.126900372 & -16958.1269003724 \tabularnewline
180 & 182079 & 239545.791724461 & -57466.7917244613 \tabularnewline
181 & 95227 & 102242.034377229 & -7015.03437722945 \tabularnewline
182 & 165446 & 136456.936403476 & 28989.0635965236 \tabularnewline
183 & 229242 & 313366.061441336 & -84124.0614413358 \tabularnewline
184 & 167542 & 154839.328149922 & 12702.6718500779 \tabularnewline
185 & 225060 & 244123.269654007 & -19063.2696540073 \tabularnewline
186 & 164709 & 214074.110470681 & -49365.1104706809 \tabularnewline
187 & 131698 & 150242.353081999 & -18544.3530819994 \tabularnewline
188 & 56613 & 51187.7435225829 & 5425.25647741714 \tabularnewline
189 & 250579 & 263030.383585445 & -12451.3835854452 \tabularnewline
190 & 44296 & 58433.9615539152 & -14137.9615539152 \tabularnewline
191 & 152474 & 205650.423341037 & -53176.4233410369 \tabularnewline
192 & 86230 & 85148.4823736842 & 1081.51762631577 \tabularnewline
193 & 258873 & 218782.267699084 & 40090.7323009155 \tabularnewline
194 & 41566 & 46863.9591895281 & -5297.95918952809 \tabularnewline
195 & 250047 & 148959.46069769 & 101087.539302309 \tabularnewline
196 & 243511 & 256093.548526166 & -12582.5485261659 \tabularnewline
197 & 62215 & 64768.3205689752 & -2553.32056897518 \tabularnewline
198 & 104838 & 113630.032762637 & -8792.03276263664 \tabularnewline
199 & 77272 & 96345.3022993226 & -19073.3022993226 \tabularnewline
200 & 148446 & 281448.020457765 & -133002.020457765 \tabularnewline
201 & 69304 & 91103.1355459821 & -21799.1355459821 \tabularnewline
202 & 102538 & 125006.515667594 & -22468.5156675935 \tabularnewline
203 & 101097 & 106583.826130681 & -5486.82613068089 \tabularnewline
204 & 223632 & 222967.951038038 & 664.048961961945 \tabularnewline
205 & 141722 & 134241.303061229 & 7480.69693877132 \tabularnewline
206 & 351067 & 319204.381371154 & 31862.6186288462 \tabularnewline
207 & 311473 & 292217.884311282 & 19255.1156887175 \tabularnewline
208 & 152601 & 126496.593687327 & 26104.4063126732 \tabularnewline
209 & 215147 & 215778.999466797 & -631.999466797248 \tabularnewline
210 & 52164 & 97728.429643433 & -45564.429643433 \tabularnewline
211 & 91005 & 74305.4981645163 & 16699.5018354837 \tabularnewline
212 & 265318 & 300371.126470377 & -35053.1264703771 \tabularnewline
213 & 299775 & 225694.088256518 & 74080.9117434818 \tabularnewline
214 & 241066 & 199563.301914758 & 41502.6980852423 \tabularnewline
215 & 118612 & 115144.921612556 & 3467.07838744373 \tabularnewline
216 & 173326 & 229318.77279225 & -55992.7727922498 \tabularnewline
217 & 225548 & 224734.137043526 & 813.862956473704 \tabularnewline
218 & 277965 & 267129.086939598 & 10835.9130604018 \tabularnewline
219 & 317394 & 236561.386376835 & 80832.6136231647 \tabularnewline
220 & 177939 & 166404.38651506 & 11534.61348494 \tabularnewline
221 & 92630 & 76128.2474287302 & 16501.7525712698 \tabularnewline
222 & 140344 & 120835.945836693 & 19508.0541633071 \tabularnewline
223 & 230964 & 218577.047757712 & 12386.9522422876 \tabularnewline
224 & 199476 & 215830.706755735 & -16354.7067557348 \tabularnewline
225 & 174724 & 253584.068328248 & -78860.0683282478 \tabularnewline
226 & 128423 & 157121.30914765 & -28698.3091476499 \tabularnewline
227 & 341570 & 276325.821006958 & 65244.1789930421 \tabularnewline
228 & 64187 & 63542.5535135037 & 644.446486496344 \tabularnewline
229 & 150580 & 129366.567055397 & 21213.4329446026 \tabularnewline
230 & 204713 & 166737.402372772 & 37975.5976272277 \tabularnewline
231 & 244749 & 232893.854963868 & 11855.1450361318 \tabularnewline
232 & 98146 & 78340.8059751506 & 19805.1940248494 \tabularnewline
233 & 351619 & 282060.67063135 & 69558.32936865 \tabularnewline
234 & 58981 & 71961.1622997273 & -12980.1622997273 \tabularnewline
235 & 233328 & 259326.798349164 & -25998.7983491638 \tabularnewline
236 & 182613 & 185337.615454876 & -2724.615454876 \tabularnewline
237 & 89113 & 89384.7252780933 & -271.725278093338 \tabularnewline
238 & 324799 & 357555.709514713 & -32756.7095147128 \tabularnewline
239 & 143246 & 211851.398009847 & -68605.398009847 \tabularnewline
240 & 40151 & 56356.3856727308 & -16205.3856727308 \tabularnewline
241 & 158399 & 89581.2044505741 & 68817.7955494259 \tabularnewline
242 & 195838 & 225762.806765527 & -29924.8067655271 \tabularnewline
243 & 286468 & 230066.714941846 & 56401.2850581543 \tabularnewline
244 & 175824 & 178464.324504404 & -2640.32450440415 \tabularnewline
245 & 143756 & 204134.467288243 & -60378.4672882427 \tabularnewline
246 & 139942 & 138542.93422198 & 1399.06577801992 \tabularnewline
247 & 104011 & 118584.313703994 & -14573.313703994 \tabularnewline
248 & 196553 & 151550.020813132 & 45002.9791868681 \tabularnewline
249 & 180083 & 162943.950743174 & 17139.0492568259 \tabularnewline
250 & 260561 & 253427.974259053 & 7133.02574094715 \tabularnewline
251 & 294424 & 237253.990741034 & 57170.0092589657 \tabularnewline
252 & 99611 & 110771.428561051 & -11160.4285610514 \tabularnewline
253 & 131069 & 149883.960419162 & -18814.9604191616 \tabularnewline
254 & 65475 & 71788.2639314254 & -6313.26393142538 \tabularnewline
255 & 237213 & 209137.565599325 & 28075.4344006753 \tabularnewline
256 & 324598 & 279774.170749089 & 44823.8292509112 \tabularnewline
257 & 170266 & 165501.367081367 & 4764.63291863338 \tabularnewline
258 & 269651 & 211762.0341474 & 57888.9658526003 \tabularnewline
259 & 243060 & 177342.8289605 & 65717.1710394999 \tabularnewline
260 & 149112 & 158328.537853733 & -9216.53785373258 \tabularnewline
261 & 174415 & 214537.809168882 & -40122.8091688825 \tabularnewline
262 & 133131 & 142071.948709635 & -8940.94870963534 \tabularnewline
263 & 133328 & 134989.498577572 & -1661.49857757169 \tabularnewline
264 & 56653 & 105014.025394422 & -48361.0253944217 \tabularnewline
265 & 50857 & 66492.14892858 & -15635.14892858 \tabularnewline
266 & 74408 & 101628.185927191 & -27220.1859271914 \tabularnewline
267 & 193339 & 214725.062869174 & -21386.0628691735 \tabularnewline
268 & 275541 & 231415.946286674 & 44125.0537133257 \tabularnewline
269 & 96560 & 126760.008371261 & -30200.0083712609 \tabularnewline
270 & 243199 & 209784.822645891 & 33414.1773541088 \tabularnewline
271 & 76702 & 110339.554850085 & -33637.5548500849 \tabularnewline
272 & 272458 & 233171.308358181 & 39286.6916418194 \tabularnewline
273 & 103425 & 101037.84941879 & 2387.15058121024 \tabularnewline
274 & 271856 & 238987.874745039 & 32868.1252549608 \tabularnewline
275 & 139526 & 187045.045819149 & -47519.0458191491 \tabularnewline
276 & 172494 & 168776.16905531 & 3717.83094468998 \tabularnewline
277 & 120445 & 163157.664087636 & -42712.664087636 \tabularnewline
278 & 181528 & 111533.369090056 & 69994.6309099438 \tabularnewline
279 & 236785 & 225770.070528217 & 11014.9294717831 \tabularnewline
280 & 224330 & 276793.718356457 & -52463.7183564568 \tabularnewline
281 & 202925 & 241314.038123668 & -38389.0381236676 \tabularnewline
282 & 30837 & 33739.3381628266 & -2902.33816282663 \tabularnewline
283 & 329267 & 355171.599003177 & -25904.5990031772 \tabularnewline
284 & 125930 & 131329.976119119 & -5399.97611911854 \tabularnewline
285 & 204271 & 191045.556869994 & 13225.4431300057 \tabularnewline
286 & 51567 & 76116.5860789986 & -24549.5860789986 \tabularnewline
287 & 325107 & 229491.209283363 & 95615.7907166371 \tabularnewline
288 & 119016 & 206392.607532624 & -87376.6075326241 \tabularnewline
289 & 265769 & 272125.201731712 & -6356.20173171153 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155391&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]14688[/C][C]12332.9711705624[/C][C]2355.02882943763[/C][/ROW]
[ROW][C]2[/C][C]46660[/C][C]32982.1284934792[/C][C]13677.8715065208[/C][/ROW]
[ROW][C]3[/C][C]7199[/C][C]10442.7455914028[/C][C]-3243.74559140285[/C][/ROW]
[ROW][C]4[/C][C]21054[/C][C]15489.1579581375[/C][C]5564.8420418625[/C][/ROW]
[ROW][C]5[/C][C]80953[/C][C]88582.8149736637[/C][C]-7629.81497366372[/C][/ROW]
[ROW][C]6[/C][C]19349[/C][C]21477.9579379536[/C][C]-2128.95793795357[/C][/ROW]
[ROW][C]7[/C][C]173260[/C][C]124609.585763125[/C][C]48650.4142368748[/C][/ROW]
[ROW][C]8[/C][C]38214[/C][C]51850.1165934684[/C][C]-13636.1165934684[/C][/ROW]
[ROW][C]9[/C][C]17547[/C][C]6859.22256302548[/C][C]10687.7774369745[/C][/ROW]
[ROW][C]10[/C][C]43287[/C][C]60185.4159044921[/C][C]-16898.4159044921[/C][/ROW]
[ROW][C]11[/C][C]78800[/C][C]88355.8764691754[/C][C]-9555.87646917536[/C][/ROW]
[ROW][C]12[/C][C]65029[/C][C]65731.297788691[/C][C]-702.297788690977[/C][/ROW]
[ROW][C]13[/C][C]31414[/C][C]41093.1942511497[/C][C]-9679.19425114973[/C][/ROW]
[ROW][C]14[/C][C]7176[/C][C]13528.8345404188[/C][C]-6352.83454041884[/C][/ROW]
[ROW][C]15[/C][C]24188[/C][C]30996.0906803738[/C][C]-6808.09068037378[/C][/ROW]
[ROW][C]16[/C][C]61857[/C][C]59953.8655457141[/C][C]1903.13445428588[/C][/ROW]
[ROW][C]17[/C][C]22938[/C][C]20045.8832246776[/C][C]2892.11677532237[/C][/ROW]
[ROW][C]18[/C][C]43410[/C][C]23186.0331033794[/C][C]20223.9668966206[/C][/ROW]
[ROW][C]19[/C][C]19764[/C][C]22403.8581597534[/C][C]-2639.85815975339[/C][/ROW]
[ROW][C]20[/C][C]53117[/C][C]42320.6584286327[/C][C]10796.3415713673[/C][/ROW]
[ROW][C]21[/C][C]33170[/C][C]35482.8651869504[/C][C]-2312.86518695045[/C][/ROW]
[ROW][C]22[/C][C]232138[/C][C]246438.854104704[/C][C]-14300.8541047036[/C][/ROW]
[ROW][C]23[/C][C]111665[/C][C]109300.81675867[/C][C]2364.18324133025[/C][/ROW]
[ROW][C]24[/C][C]152871[/C][C]155331.815718358[/C][C]-2460.8157183582[/C][/ROW]
[ROW][C]25[/C][C]100750[/C][C]204605.423428899[/C][C]-103855.423428899[/C][/ROW]
[ROW][C]26[/C][C]221698[/C][C]195714.861833003[/C][C]25983.1381669966[/C][/ROW]
[ROW][C]27[/C][C]209641[/C][C]140887.029236542[/C][C]68753.9707634575[/C][/ROW]
[ROW][C]28[/C][C]52746[/C][C]67894.1370653665[/C][C]-15148.1370653665[/C][/ROW]
[ROW][C]29[/C][C]215641[/C][C]154387.299831735[/C][C]61253.7001682648[/C][/ROW]
[ROW][C]30[/C][C]85439[/C][C]103544.369045998[/C][C]-18105.3690459976[/C][/ROW]
[ROW][C]31[/C][C]145790[/C][C]123547.535838169[/C][C]22242.4641618313[/C][/ROW]
[ROW][C]32[/C][C]132943[/C][C]192002.871851899[/C][C]-59059.8718518988[/C][/ROW]
[ROW][C]33[/C][C]132487[/C][C]150711.610595435[/C][C]-18224.610595435[/C][/ROW]
[ROW][C]34[/C][C]135473[/C][C]160554.841686765[/C][C]-25081.8416867648[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]118135.787523831[/C][C]-33282.7875238312[/C][/ROW]
[ROW][C]36[/C][C]210767[/C][C]213653.181681276[/C][C]-2886.1816812763[/C][/ROW]
[ROW][C]37[/C][C]97839[/C][C]105128.901308077[/C][C]-7289.90130807741[/C][/ROW]
[ROW][C]38[/C][C]120221[/C][C]117434.94743002[/C][C]2786.05256998038[/C][/ROW]
[ROW][C]39[/C][C]224549[/C][C]163308.494358768[/C][C]61240.5056412323[/C][/ROW]
[ROW][C]40[/C][C]116408[/C][C]122643.25943641[/C][C]-6235.25943640985[/C][/ROW]
[ROW][C]41[/C][C]158015[/C][C]140466.610812649[/C][C]17548.3891873512[/C][/ROW]
[ROW][C]42[/C][C]150629[/C][C]176795.665339479[/C][C]-26166.6653394794[/C][/ROW]
[ROW][C]43[/C][C]123185[/C][C]110512.419527308[/C][C]12672.5804726916[/C][/ROW]
[ROW][C]44[/C][C]124817[/C][C]116249.831420362[/C][C]8567.16857963789[/C][/ROW]
[ROW][C]45[/C][C]104389[/C][C]250034.544557386[/C][C]-145645.544557386[/C][/ROW]
[ROW][C]46[/C][C]162765[/C][C]160508.452036538[/C][C]2256.54796346151[/C][/ROW]
[ROW][C]47[/C][C]149061[/C][C]140433.750404672[/C][C]8627.2495953284[/C][/ROW]
[ROW][C]48[/C][C]84207[/C][C]105678.906210188[/C][C]-21471.9062101876[/C][/ROW]
[ROW][C]49[/C][C]201940[/C][C]191772.627507832[/C][C]10167.3724921681[/C][/ROW]
[ROW][C]50[/C][C]168809[/C][C]178905.248332572[/C][C]-10096.2483325717[/C][/ROW]
[ROW][C]51[/C][C]176508[/C][C]161272.980702357[/C][C]15235.0192976434[/C][/ROW]
[ROW][C]52[/C][C]99466[/C][C]142181.855863656[/C][C]-42715.8558636561[/C][/ROW]
[ROW][C]53[/C][C]106408[/C][C]79257.7567718664[/C][C]27150.2432281336[/C][/ROW]
[ROW][C]54[/C][C]344297[/C][C]191217.281231235[/C][C]153079.718768765[/C][/ROW]
[ROW][C]55[/C][C]218946[/C][C]162424.812304361[/C][C]56521.1876956387[/C][/ROW]
[ROW][C]56[/C][C]122774[/C][C]91641.2255660822[/C][C]31132.7744339178[/C][/ROW]
[ROW][C]57[/C][C]153935[/C][C]123742.976338057[/C][C]30192.0236619432[/C][/ROW]
[ROW][C]58[/C][C]206161[/C][C]181780.281940921[/C][C]24380.7180590786[/C][/ROW]
[ROW][C]59[/C][C]183167[/C][C]211198.21729153[/C][C]-28031.2172915295[/C][/ROW]
[ROW][C]60[/C][C]144966[/C][C]181745.850587816[/C][C]-36779.8505878156[/C][/ROW]
[ROW][C]61[/C][C]34662[/C][C]51352.9176669227[/C][C]-16690.9176669227[/C][/ROW]
[ROW][C]62[/C][C]116048[/C][C]126898.693524892[/C][C]-10850.6935248924[/C][/ROW]
[ROW][C]63[/C][C]77945[/C][C]76668.806791441[/C][C]1276.19320855899[/C][/ROW]
[ROW][C]64[/C][C]65490[/C][C]66927.2366616088[/C][C]-1437.23666160884[/C][/ROW]
[ROW][C]65[/C][C]81872[/C][C]96132.9528006734[/C][C]-14260.9528006734[/C][/ROW]
[ROW][C]66[/C][C]101011[/C][C]78916.4108960733[/C][C]22094.5891039267[/C][/ROW]
[ROW][C]67[/C][C]71965[/C][C]91618.4238134133[/C][C]-19653.4238134133[/C][/ROW]
[ROW][C]68[/C][C]72880[/C][C]73026.7941504546[/C][C]-146.794150454624[/C][/ROW]
[ROW][C]69[/C][C]62792[/C][C]82881.1832507692[/C][C]-20089.1832507692[/C][/ROW]
[ROW][C]70[/C][C]31774[/C][C]41646.8996507171[/C][C]-9872.89965071711[/C][/ROW]
[ROW][C]71[/C][C]182192[/C][C]185763.653004792[/C][C]-3571.65300479231[/C][/ROW]
[ROW][C]72[/C][C]67989[/C][C]71984.0035377204[/C][C]-3995.00353772045[/C][/ROW]
[ROW][C]73[/C][C]52915[/C][C]59622.1344890287[/C][C]-6707.13448902871[/C][/ROW]
[ROW][C]74[/C][C]56375[/C][C]61466.8875768726[/C][C]-5091.88757687259[/C][/ROW]
[ROW][C]75[/C][C]30989[/C][C]38282.3526376285[/C][C]-7293.3526376285[/C][/ROW]
[ROW][C]76[/C][C]135131[/C][C]117977.382344556[/C][C]17153.6176554444[/C][/ROW]
[ROW][C]77[/C][C]76990[/C][C]93772.2325751704[/C][C]-16782.2325751704[/C][/ROW]
[ROW][C]78[/C][C]64175[/C][C]97882.5442596892[/C][C]-33707.5442596892[/C][/ROW]
[ROW][C]79[/C][C]59194[/C][C]71537.9437051807[/C][C]-12343.9437051808[/C][/ROW]
[ROW][C]80[/C][C]53515[/C][C]63862.203314978[/C][C]-10347.203314978[/C][/ROW]
[ROW][C]81[/C][C]89746[/C][C]84978.4751910978[/C][C]4767.52480890224[/C][/ROW]
[ROW][C]82[/C][C]49862[/C][C]76193.4982036102[/C][C]-26331.4982036102[/C][/ROW]
[ROW][C]83[/C][C]85574[/C][C]88224.8228359073[/C][C]-2650.82283590727[/C][/ROW]
[ROW][C]84[/C][C]220801[/C][C]141604.63603964[/C][C]79196.3639603599[/C][/ROW]
[ROW][C]85[/C][C]49289[/C][C]57324.4207972265[/C][C]-8035.42079722654[/C][/ROW]
[ROW][C]86[/C][C]135781[/C][C]92302.9680660359[/C][C]43478.0319339642[/C][/ROW]
[ROW][C]87[/C][C]82316[/C][C]71951.0279042573[/C][C]10364.9720957427[/C][/ROW]
[ROW][C]88[/C][C]133368[/C][C]95002.3446819349[/C][C]38365.6553180651[/C][/ROW]
[ROW][C]89[/C][C]92499[/C][C]78695.4669529391[/C][C]13803.5330470609[/C][/ROW]
[ROW][C]90[/C][C]37460[/C][C]30812.2812934206[/C][C]6647.71870657939[/C][/ROW]
[ROW][C]91[/C][C]91735[/C][C]61519.1093830168[/C][C]30215.8906169832[/C][/ROW]
[ROW][C]92[/C][C]187681[/C][C]215009.254724665[/C][C]-27328.2547246646[/C][/ROW]
[ROW][C]93[/C][C]79619[/C][C]92741.1007559613[/C][C]-13122.1007559613[/C][/ROW]
[ROW][C]94[/C][C]98104[/C][C]120915.480109289[/C][C]-22811.4801092893[/C][/ROW]
[ROW][C]95[/C][C]80949[/C][C]53593.5522679916[/C][C]27355.4477320084[/C][/ROW]
[ROW][C]96[/C][C]31706[/C][C]55011.3541091834[/C][C]-23305.3541091834[/C][/ROW]
[ROW][C]97[/C][C]70344[/C][C]73858.0340957033[/C][C]-3514.03409570329[/C][/ROW]
[ROW][C]98[/C][C]99923[/C][C]133998.142554453[/C][C]-34075.1425544533[/C][/ROW]
[ROW][C]99[/C][C]91899[/C][C]71202.5273348146[/C][C]20696.4726651854[/C][/ROW]
[ROW][C]100[/C][C]235454[/C][C]262436.83097755[/C][C]-26982.8309775499[/C][/ROW]
[ROW][C]101[/C][C]46455[/C][C]53153.8770673801[/C][C]-6698.87706738012[/C][/ROW]
[ROW][C]102[/C][C]60812[/C][C]83311.1919478065[/C][C]-22499.1919478065[/C][/ROW]
[ROW][C]103[/C][C]77648[/C][C]93692.9401539963[/C][C]-16044.9401539963[/C][/ROW]
[ROW][C]104[/C][C]101523[/C][C]138086.490863477[/C][C]-36563.4908634768[/C][/ROW]
[ROW][C]105[/C][C]254488[/C][C]251217.357675345[/C][C]3270.64232465524[/C][/ROW]
[ROW][C]106[/C][C]103597[/C][C]87007.9519849559[/C][C]16589.0480150441[/C][/ROW]
[ROW][C]107[/C][C]136084[/C][C]74816.5802530746[/C][C]61267.4197469254[/C][/ROW]
[ROW][C]108[/C][C]62088[/C][C]65282.4860068793[/C][C]-3194.48600687928[/C][/ROW]
[ROW][C]109[/C][C]86680[/C][C]86223.2008035738[/C][C]456.79919642621[/C][/ROW]
[ROW][C]110[/C][C]38395[/C][C]64824.4572705924[/C][C]-26429.4572705924[/C][/ROW]
[ROW][C]111[/C][C]179321[/C][C]235825.241329975[/C][C]-56504.2413299747[/C][/ROW]
[ROW][C]112[/C][C]40248[/C][C]28367.8109227281[/C][C]11880.1890772719[/C][/ROW]
[ROW][C]113[/C][C]70551[/C][C]75350.0025552255[/C][C]-4799.00255522553[/C][/ROW]
[ROW][C]114[/C][C]84105[/C][C]64590.3574404405[/C][C]19514.6425595595[/C][/ROW]
[ROW][C]115[/C][C]112611[/C][C]112431.614223259[/C][C]179.385776741142[/C][/ROW]
[ROW][C]116[/C][C]73624[/C][C]73313.8798028231[/C][C]310.120197176863[/C][/ROW]
[ROW][C]117[/C][C]89806[/C][C]85242.5154879419[/C][C]4563.48451205811[/C][/ROW]
[ROW][C]118[/C][C]98866[/C][C]63138.4315985824[/C][C]35727.5684014176[/C][/ROW]
[ROW][C]119[/C][C]61254[/C][C]89222.5402234663[/C][C]-27968.5402234663[/C][/ROW]
[ROW][C]120[/C][C]99643[/C][C]109090.908684042[/C][C]-9447.90868404195[/C][/ROW]
[ROW][C]121[/C][C]310839[/C][C]266148.090463816[/C][C]44690.9095361836[/C][/ROW]
[ROW][C]122[/C][C]181633[/C][C]148953.37942898[/C][C]32679.6205710201[/C][/ROW]
[ROW][C]123[/C][C]50090[/C][C]57030.9532370479[/C][C]-6940.95323704792[/C][/ROW]
[ROW][C]124[/C][C]92661[/C][C]113795.777383181[/C][C]-21134.7773831815[/C][/ROW]
[ROW][C]125[/C][C]46698[/C][C]67901.0904584449[/C][C]-21203.0904584449[/C][/ROW]
[ROW][C]126[/C][C]61361[/C][C]101283.466319099[/C][C]-39922.4663190994[/C][/ROW]
[ROW][C]127[/C][C]84337[/C][C]80892.3952429862[/C][C]3444.6047570138[/C][/ROW]
[ROW][C]128[/C][C]72535[/C][C]53636.8060750933[/C][C]18898.1939249067[/C][/ROW]
[ROW][C]129[/C][C]84856[/C][C]82608.0074415629[/C][C]2247.99255843712[/C][/ROW]
[ROW][C]130[/C][C]124064[/C][C]112837.629465044[/C][C]11226.3705349561[/C][/ROW]
[ROW][C]131[/C][C]54157[/C][C]72702.5009901992[/C][C]-18545.5009901992[/C][/ROW]
[ROW][C]132[/C][C]76302[/C][C]89688.6968030447[/C][C]-13386.6968030447[/C][/ROW]
[ROW][C]133[/C][C]59382[/C][C]85957.1963675912[/C][C]-26575.1963675912[/C][/ROW]
[ROW][C]134[/C][C]65745[/C][C]98309.8722260054[/C][C]-32564.8722260054[/C][/ROW]
[ROW][C]135[/C][C]74914[/C][C]107664.618650504[/C][C]-32750.6186505041[/C][/ROW]
[ROW][C]136[/C][C]101645[/C][C]88843.8883573403[/C][C]12801.1116426597[/C][/ROW]
[ROW][C]137[/C][C]73504[/C][C]64509.3056870186[/C][C]8994.69431298135[/C][/ROW]
[ROW][C]138[/C][C]99373[/C][C]94159.4116468287[/C][C]5213.5883531713[/C][/ROW]
[ROW][C]139[/C][C]135458[/C][C]121917.557958787[/C][C]13540.4420412135[/C][/ROW]
[ROW][C]140[/C][C]184510[/C][C]184132.227982255[/C][C]377.772017745436[/C][/ROW]
[ROW][C]141[/C][C]385534[/C][C]249637.288470713[/C][C]135896.711529287[/C][/ROW]
[ROW][C]142[/C][C]108043[/C][C]117183.602010898[/C][C]-9140.60201089802[/C][/ROW]
[ROW][C]143[/C][C]328107[/C][C]256124.236200683[/C][C]71982.7637993166[/C][/ROW]
[ROW][C]144[/C][C]362301[/C][C]232709.468837977[/C][C]129591.531162023[/C][/ROW]
[ROW][C]145[/C][C]130585[/C][C]166831.336099879[/C][C]-36246.3360998794[/C][/ROW]
[ROW][C]146[/C][C]85709[/C][C]79630.5161686339[/C][C]6078.48383136609[/C][/ROW]
[ROW][C]147[/C][C]174184[/C][C]154805.567349775[/C][C]19378.4326502251[/C][/ROW]
[ROW][C]148[/C][C]81437[/C][C]91593.973562946[/C][C]-10156.973562946[/C][/ROW]
[ROW][C]149[/C][C]120982[/C][C]161707.880367402[/C][C]-40725.8803674018[/C][/ROW]
[ROW][C]150[/C][C]187559[/C][C]229242.931716484[/C][C]-41683.9317164838[/C][/ROW]
[ROW][C]151[/C][C]235800[/C][C]235359.084863228[/C][C]440.915136772309[/C][/ROW]
[ROW][C]152[/C][C]220516[/C][C]202117.734217439[/C][C]18398.2657825605[/C][/ROW]
[ROW][C]153[/C][C]210907[/C][C]186642.851911356[/C][C]24264.1480886444[/C][/ROW]
[ROW][C]154[/C][C]155754[/C][C]146214.076537872[/C][C]9539.92346212837[/C][/ROW]
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[ROW][C]156[/C][C]79863[/C][C]90185.6732018465[/C][C]-10322.6732018465[/C][/ROW]
[ROW][C]157[/C][C]346485[/C][C]254401.421898176[/C][C]92083.5781018239[/C][/ROW]
[ROW][C]158[/C][C]135649[/C][C]189254.204094512[/C][C]-53605.2040945122[/C][/ROW]
[ROW][C]159[/C][C]134019[/C][C]103979.985359146[/C][C]30039.0146408537[/C][/ROW]
[ROW][C]160[/C][C]167488[/C][C]155705.910553736[/C][C]11782.0894462637[/C][/ROW]
[ROW][C]161[/C][C]108446[/C][C]106600.81229749[/C][C]1845.18770251029[/C][/ROW]
[ROW][C]162[/C][C]27634[/C][C]35860.5762083962[/C][C]-8226.57620839619[/C][/ROW]
[ROW][C]163[/C][C]232317[/C][C]230511.403367038[/C][C]1805.59663296165[/C][/ROW]
[ROW][C]164[/C][C]22648[/C][C]55402.1827122368[/C][C]-32754.1827122368[/C][/ROW]
[ROW][C]165[/C][C]119308[/C][C]86203.2419483902[/C][C]33104.7580516098[/C][/ROW]
[ROW][C]166[/C][C]194979[/C][C]189958.25906775[/C][C]5020.7409322501[/C][/ROW]
[ROW][C]167[/C][C]81240[/C][C]140195.735672993[/C][C]-58955.7356729929[/C][/ROW]
[ROW][C]168[/C][C]121848[/C][C]98057.3160205019[/C][C]23790.6839794981[/C][/ROW]
[ROW][C]169[/C][C]86678[/C][C]73846.6514013454[/C][C]12831.3485986546[/C][/ROW]
[ROW][C]170[/C][C]73566[/C][C]84171.3855519457[/C][C]-10605.3855519457[/C][/ROW]
[ROW][C]171[/C][C]102010[/C][C]99289.3359966261[/C][C]2720.66400337388[/C][/ROW]
[ROW][C]172[/C][C]151101[/C][C]144365.497677163[/C][C]6735.50232283681[/C][/ROW]
[ROW][C]173[/C][C]207176[/C][C]176157.453281309[/C][C]31018.5467186914[/C][/ROW]
[ROW][C]174[/C][C]165543[/C][C]170335.464118181[/C][C]-4792.4641181805[/C][/ROW]
[ROW][C]175[/C][C]182999[/C][C]237796.039210419[/C][C]-54797.0392104186[/C][/ROW]
[ROW][C]176[/C][C]256462[/C][C]272161.679551142[/C][C]-15699.6795511424[/C][/ROW]
[ROW][C]177[/C][C]244052[/C][C]249637.2213583[/C][C]-5585.22135830037[/C][/ROW]
[ROW][C]178[/C][C]63123[/C][C]102695.857857336[/C][C]-39572.857857336[/C][/ROW]
[ROW][C]179[/C][C]87186[/C][C]104144.126900372[/C][C]-16958.1269003724[/C][/ROW]
[ROW][C]180[/C][C]182079[/C][C]239545.791724461[/C][C]-57466.7917244613[/C][/ROW]
[ROW][C]181[/C][C]95227[/C][C]102242.034377229[/C][C]-7015.03437722945[/C][/ROW]
[ROW][C]182[/C][C]165446[/C][C]136456.936403476[/C][C]28989.0635965236[/C][/ROW]
[ROW][C]183[/C][C]229242[/C][C]313366.061441336[/C][C]-84124.0614413358[/C][/ROW]
[ROW][C]184[/C][C]167542[/C][C]154839.328149922[/C][C]12702.6718500779[/C][/ROW]
[ROW][C]185[/C][C]225060[/C][C]244123.269654007[/C][C]-19063.2696540073[/C][/ROW]
[ROW][C]186[/C][C]164709[/C][C]214074.110470681[/C][C]-49365.1104706809[/C][/ROW]
[ROW][C]187[/C][C]131698[/C][C]150242.353081999[/C][C]-18544.3530819994[/C][/ROW]
[ROW][C]188[/C][C]56613[/C][C]51187.7435225829[/C][C]5425.25647741714[/C][/ROW]
[ROW][C]189[/C][C]250579[/C][C]263030.383585445[/C][C]-12451.3835854452[/C][/ROW]
[ROW][C]190[/C][C]44296[/C][C]58433.9615539152[/C][C]-14137.9615539152[/C][/ROW]
[ROW][C]191[/C][C]152474[/C][C]205650.423341037[/C][C]-53176.4233410369[/C][/ROW]
[ROW][C]192[/C][C]86230[/C][C]85148.4823736842[/C][C]1081.51762631577[/C][/ROW]
[ROW][C]193[/C][C]258873[/C][C]218782.267699084[/C][C]40090.7323009155[/C][/ROW]
[ROW][C]194[/C][C]41566[/C][C]46863.9591895281[/C][C]-5297.95918952809[/C][/ROW]
[ROW][C]195[/C][C]250047[/C][C]148959.46069769[/C][C]101087.539302309[/C][/ROW]
[ROW][C]196[/C][C]243511[/C][C]256093.548526166[/C][C]-12582.5485261659[/C][/ROW]
[ROW][C]197[/C][C]62215[/C][C]64768.3205689752[/C][C]-2553.32056897518[/C][/ROW]
[ROW][C]198[/C][C]104838[/C][C]113630.032762637[/C][C]-8792.03276263664[/C][/ROW]
[ROW][C]199[/C][C]77272[/C][C]96345.3022993226[/C][C]-19073.3022993226[/C][/ROW]
[ROW][C]200[/C][C]148446[/C][C]281448.020457765[/C][C]-133002.020457765[/C][/ROW]
[ROW][C]201[/C][C]69304[/C][C]91103.1355459821[/C][C]-21799.1355459821[/C][/ROW]
[ROW][C]202[/C][C]102538[/C][C]125006.515667594[/C][C]-22468.5156675935[/C][/ROW]
[ROW][C]203[/C][C]101097[/C][C]106583.826130681[/C][C]-5486.82613068089[/C][/ROW]
[ROW][C]204[/C][C]223632[/C][C]222967.951038038[/C][C]664.048961961945[/C][/ROW]
[ROW][C]205[/C][C]141722[/C][C]134241.303061229[/C][C]7480.69693877132[/C][/ROW]
[ROW][C]206[/C][C]351067[/C][C]319204.381371154[/C][C]31862.6186288462[/C][/ROW]
[ROW][C]207[/C][C]311473[/C][C]292217.884311282[/C][C]19255.1156887175[/C][/ROW]
[ROW][C]208[/C][C]152601[/C][C]126496.593687327[/C][C]26104.4063126732[/C][/ROW]
[ROW][C]209[/C][C]215147[/C][C]215778.999466797[/C][C]-631.999466797248[/C][/ROW]
[ROW][C]210[/C][C]52164[/C][C]97728.429643433[/C][C]-45564.429643433[/C][/ROW]
[ROW][C]211[/C][C]91005[/C][C]74305.4981645163[/C][C]16699.5018354837[/C][/ROW]
[ROW][C]212[/C][C]265318[/C][C]300371.126470377[/C][C]-35053.1264703771[/C][/ROW]
[ROW][C]213[/C][C]299775[/C][C]225694.088256518[/C][C]74080.9117434818[/C][/ROW]
[ROW][C]214[/C][C]241066[/C][C]199563.301914758[/C][C]41502.6980852423[/C][/ROW]
[ROW][C]215[/C][C]118612[/C][C]115144.921612556[/C][C]3467.07838744373[/C][/ROW]
[ROW][C]216[/C][C]173326[/C][C]229318.77279225[/C][C]-55992.7727922498[/C][/ROW]
[ROW][C]217[/C][C]225548[/C][C]224734.137043526[/C][C]813.862956473704[/C][/ROW]
[ROW][C]218[/C][C]277965[/C][C]267129.086939598[/C][C]10835.9130604018[/C][/ROW]
[ROW][C]219[/C][C]317394[/C][C]236561.386376835[/C][C]80832.6136231647[/C][/ROW]
[ROW][C]220[/C][C]177939[/C][C]166404.38651506[/C][C]11534.61348494[/C][/ROW]
[ROW][C]221[/C][C]92630[/C][C]76128.2474287302[/C][C]16501.7525712698[/C][/ROW]
[ROW][C]222[/C][C]140344[/C][C]120835.945836693[/C][C]19508.0541633071[/C][/ROW]
[ROW][C]223[/C][C]230964[/C][C]218577.047757712[/C][C]12386.9522422876[/C][/ROW]
[ROW][C]224[/C][C]199476[/C][C]215830.706755735[/C][C]-16354.7067557348[/C][/ROW]
[ROW][C]225[/C][C]174724[/C][C]253584.068328248[/C][C]-78860.0683282478[/C][/ROW]
[ROW][C]226[/C][C]128423[/C][C]157121.30914765[/C][C]-28698.3091476499[/C][/ROW]
[ROW][C]227[/C][C]341570[/C][C]276325.821006958[/C][C]65244.1789930421[/C][/ROW]
[ROW][C]228[/C][C]64187[/C][C]63542.5535135037[/C][C]644.446486496344[/C][/ROW]
[ROW][C]229[/C][C]150580[/C][C]129366.567055397[/C][C]21213.4329446026[/C][/ROW]
[ROW][C]230[/C][C]204713[/C][C]166737.402372772[/C][C]37975.5976272277[/C][/ROW]
[ROW][C]231[/C][C]244749[/C][C]232893.854963868[/C][C]11855.1450361318[/C][/ROW]
[ROW][C]232[/C][C]98146[/C][C]78340.8059751506[/C][C]19805.1940248494[/C][/ROW]
[ROW][C]233[/C][C]351619[/C][C]282060.67063135[/C][C]69558.32936865[/C][/ROW]
[ROW][C]234[/C][C]58981[/C][C]71961.1622997273[/C][C]-12980.1622997273[/C][/ROW]
[ROW][C]235[/C][C]233328[/C][C]259326.798349164[/C][C]-25998.7983491638[/C][/ROW]
[ROW][C]236[/C][C]182613[/C][C]185337.615454876[/C][C]-2724.615454876[/C][/ROW]
[ROW][C]237[/C][C]89113[/C][C]89384.7252780933[/C][C]-271.725278093338[/C][/ROW]
[ROW][C]238[/C][C]324799[/C][C]357555.709514713[/C][C]-32756.7095147128[/C][/ROW]
[ROW][C]239[/C][C]143246[/C][C]211851.398009847[/C][C]-68605.398009847[/C][/ROW]
[ROW][C]240[/C][C]40151[/C][C]56356.3856727308[/C][C]-16205.3856727308[/C][/ROW]
[ROW][C]241[/C][C]158399[/C][C]89581.2044505741[/C][C]68817.7955494259[/C][/ROW]
[ROW][C]242[/C][C]195838[/C][C]225762.806765527[/C][C]-29924.8067655271[/C][/ROW]
[ROW][C]243[/C][C]286468[/C][C]230066.714941846[/C][C]56401.2850581543[/C][/ROW]
[ROW][C]244[/C][C]175824[/C][C]178464.324504404[/C][C]-2640.32450440415[/C][/ROW]
[ROW][C]245[/C][C]143756[/C][C]204134.467288243[/C][C]-60378.4672882427[/C][/ROW]
[ROW][C]246[/C][C]139942[/C][C]138542.93422198[/C][C]1399.06577801992[/C][/ROW]
[ROW][C]247[/C][C]104011[/C][C]118584.313703994[/C][C]-14573.313703994[/C][/ROW]
[ROW][C]248[/C][C]196553[/C][C]151550.020813132[/C][C]45002.9791868681[/C][/ROW]
[ROW][C]249[/C][C]180083[/C][C]162943.950743174[/C][C]17139.0492568259[/C][/ROW]
[ROW][C]250[/C][C]260561[/C][C]253427.974259053[/C][C]7133.02574094715[/C][/ROW]
[ROW][C]251[/C][C]294424[/C][C]237253.990741034[/C][C]57170.0092589657[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]110771.428561051[/C][C]-11160.4285610514[/C][/ROW]
[ROW][C]253[/C][C]131069[/C][C]149883.960419162[/C][C]-18814.9604191616[/C][/ROW]
[ROW][C]254[/C][C]65475[/C][C]71788.2639314254[/C][C]-6313.26393142538[/C][/ROW]
[ROW][C]255[/C][C]237213[/C][C]209137.565599325[/C][C]28075.4344006753[/C][/ROW]
[ROW][C]256[/C][C]324598[/C][C]279774.170749089[/C][C]44823.8292509112[/C][/ROW]
[ROW][C]257[/C][C]170266[/C][C]165501.367081367[/C][C]4764.63291863338[/C][/ROW]
[ROW][C]258[/C][C]269651[/C][C]211762.0341474[/C][C]57888.9658526003[/C][/ROW]
[ROW][C]259[/C][C]243060[/C][C]177342.8289605[/C][C]65717.1710394999[/C][/ROW]
[ROW][C]260[/C][C]149112[/C][C]158328.537853733[/C][C]-9216.53785373258[/C][/ROW]
[ROW][C]261[/C][C]174415[/C][C]214537.809168882[/C][C]-40122.8091688825[/C][/ROW]
[ROW][C]262[/C][C]133131[/C][C]142071.948709635[/C][C]-8940.94870963534[/C][/ROW]
[ROW][C]263[/C][C]133328[/C][C]134989.498577572[/C][C]-1661.49857757169[/C][/ROW]
[ROW][C]264[/C][C]56653[/C][C]105014.025394422[/C][C]-48361.0253944217[/C][/ROW]
[ROW][C]265[/C][C]50857[/C][C]66492.14892858[/C][C]-15635.14892858[/C][/ROW]
[ROW][C]266[/C][C]74408[/C][C]101628.185927191[/C][C]-27220.1859271914[/C][/ROW]
[ROW][C]267[/C][C]193339[/C][C]214725.062869174[/C][C]-21386.0628691735[/C][/ROW]
[ROW][C]268[/C][C]275541[/C][C]231415.946286674[/C][C]44125.0537133257[/C][/ROW]
[ROW][C]269[/C][C]96560[/C][C]126760.008371261[/C][C]-30200.0083712609[/C][/ROW]
[ROW][C]270[/C][C]243199[/C][C]209784.822645891[/C][C]33414.1773541088[/C][/ROW]
[ROW][C]271[/C][C]76702[/C][C]110339.554850085[/C][C]-33637.5548500849[/C][/ROW]
[ROW][C]272[/C][C]272458[/C][C]233171.308358181[/C][C]39286.6916418194[/C][/ROW]
[ROW][C]273[/C][C]103425[/C][C]101037.84941879[/C][C]2387.15058121024[/C][/ROW]
[ROW][C]274[/C][C]271856[/C][C]238987.874745039[/C][C]32868.1252549608[/C][/ROW]
[ROW][C]275[/C][C]139526[/C][C]187045.045819149[/C][C]-47519.0458191491[/C][/ROW]
[ROW][C]276[/C][C]172494[/C][C]168776.16905531[/C][C]3717.83094468998[/C][/ROW]
[ROW][C]277[/C][C]120445[/C][C]163157.664087636[/C][C]-42712.664087636[/C][/ROW]
[ROW][C]278[/C][C]181528[/C][C]111533.369090056[/C][C]69994.6309099438[/C][/ROW]
[ROW][C]279[/C][C]236785[/C][C]225770.070528217[/C][C]11014.9294717831[/C][/ROW]
[ROW][C]280[/C][C]224330[/C][C]276793.718356457[/C][C]-52463.7183564568[/C][/ROW]
[ROW][C]281[/C][C]202925[/C][C]241314.038123668[/C][C]-38389.0381236676[/C][/ROW]
[ROW][C]282[/C][C]30837[/C][C]33739.3381628266[/C][C]-2902.33816282663[/C][/ROW]
[ROW][C]283[/C][C]329267[/C][C]355171.599003177[/C][C]-25904.5990031772[/C][/ROW]
[ROW][C]284[/C][C]125930[/C][C]131329.976119119[/C][C]-5399.97611911854[/C][/ROW]
[ROW][C]285[/C][C]204271[/C][C]191045.556869994[/C][C]13225.4431300057[/C][/ROW]
[ROW][C]286[/C][C]51567[/C][C]76116.5860789986[/C][C]-24549.5860789986[/C][/ROW]
[ROW][C]287[/C][C]325107[/C][C]229491.209283363[/C][C]95615.7907166371[/C][/ROW]
[ROW][C]288[/C][C]119016[/C][C]206392.607532624[/C][C]-87376.6075326241[/C][/ROW]
[ROW][C]289[/C][C]265769[/C][C]272125.201731712[/C][C]-6356.20173171153[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155391&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155391&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11468812332.97117056242355.02882943763
24666032982.128493479213677.8715065208
3719910442.7455914028-3243.74559140285
42105415489.15795813755564.8420418625
58095388582.8149736637-7629.81497366372
61934921477.9579379536-2128.95793795357
7173260124609.58576312548650.4142368748
83821451850.1165934684-13636.1165934684
9175476859.2225630254810687.7774369745
104328760185.4159044921-16898.4159044921
117880088355.8764691754-9555.87646917536
126502965731.297788691-702.297788690977
133141441093.1942511497-9679.19425114973
14717613528.8345404188-6352.83454041884
152418830996.0906803738-6808.09068037378
166185759953.86554571411903.13445428588
172293820045.88322467762892.11677532237
184341023186.033103379420223.9668966206
191976422403.8581597534-2639.85815975339
205311742320.658428632710796.3415713673
213317035482.8651869504-2312.86518695045
22232138246438.854104704-14300.8541047036
23111665109300.816758672364.18324133025
24152871155331.815718358-2460.8157183582
25100750204605.423428899-103855.423428899
26221698195714.86183300325983.1381669966
27209641140887.02923654268753.9707634575
285274667894.1370653665-15148.1370653665
29215641154387.29983173561253.7001682648
3085439103544.369045998-18105.3690459976
31145790123547.53583816922242.4641618313
32132943192002.871851899-59059.8718518988
33132487150711.610595435-18224.610595435
34135473160554.841686765-25081.8416867648
3584853118135.787523831-33282.7875238312
36210767213653.181681276-2886.1816812763
3797839105128.901308077-7289.90130807741
38120221117434.947430022786.05256998038
39224549163308.49435876861240.5056412323
40116408122643.25943641-6235.25943640985
41158015140466.61081264917548.3891873512
42150629176795.665339479-26166.6653394794
43123185110512.41952730812672.5804726916
44124817116249.8314203628567.16857963789
45104389250034.544557386-145645.544557386
46162765160508.4520365382256.54796346151
47149061140433.7504046728627.2495953284
4884207105678.906210188-21471.9062101876
49201940191772.62750783210167.3724921681
50168809178905.248332572-10096.2483325717
51176508161272.98070235715235.0192976434
5299466142181.855863656-42715.8558636561
5310640879257.756771866427150.2432281336
54344297191217.281231235153079.718768765
55218946162424.81230436156521.1876956387
5612277491641.225566082231132.7744339178
57153935123742.97633805730192.0236619432
58206161181780.28194092124380.7180590786
59183167211198.21729153-28031.2172915295
60144966181745.850587816-36779.8505878156
613466251352.9176669227-16690.9176669227
62116048126898.693524892-10850.6935248924
637794576668.8067914411276.19320855899
646549066927.2366616088-1437.23666160884
658187296132.9528006734-14260.9528006734
6610101178916.410896073322094.5891039267
677196591618.4238134133-19653.4238134133
687288073026.7941504546-146.794150454624
696279282881.1832507692-20089.1832507692
703177441646.8996507171-9872.89965071711
71182192185763.653004792-3571.65300479231
726798971984.0035377204-3995.00353772045
735291559622.1344890287-6707.13448902871
745637561466.8875768726-5091.88757687259
753098938282.3526376285-7293.3526376285
76135131117977.38234455617153.6176554444
777699093772.2325751704-16782.2325751704
786417597882.5442596892-33707.5442596892
795919471537.9437051807-12343.9437051808
805351563862.203314978-10347.203314978
818974684978.47519109784767.52480890224
824986276193.4982036102-26331.4982036102
838557488224.8228359073-2650.82283590727
84220801141604.6360396479196.3639603599
854928957324.4207972265-8035.42079722654
8613578192302.968066035943478.0319339642
878231671951.027904257310364.9720957427
8813336895002.344681934938365.6553180651
899249978695.466952939113803.5330470609
903746030812.28129342066647.71870657939
919173561519.109383016830215.8906169832
92187681215009.254724665-27328.2547246646
937961992741.1007559613-13122.1007559613
9498104120915.480109289-22811.4801092893
958094953593.552267991627355.4477320084
963170655011.3541091834-23305.3541091834
977034473858.0340957033-3514.03409570329
9899923133998.142554453-34075.1425544533
999189971202.527334814620696.4726651854
100235454262436.83097755-26982.8309775499
1014645553153.8770673801-6698.87706738012
1026081283311.1919478065-22499.1919478065
1037764893692.9401539963-16044.9401539963
104101523138086.490863477-36563.4908634768
105254488251217.3576753453270.64232465524
10610359787007.951984955916589.0480150441
10713608474816.580253074661267.4197469254
1086208865282.4860068793-3194.48600687928
1098668086223.2008035738456.79919642621
1103839564824.4572705924-26429.4572705924
111179321235825.241329975-56504.2413299747
1124024828367.810922728111880.1890772719
1137055175350.0025552255-4799.00255522553
1148410564590.357440440519514.6425595595
115112611112431.614223259179.385776741142
1167362473313.8798028231310.120197176863
1178980685242.51548794194563.48451205811
1189886663138.431598582435727.5684014176
1196125489222.5402234663-27968.5402234663
12099643109090.908684042-9447.90868404195
121310839266148.09046381644690.9095361836
122181633148953.3794289832679.6205710201
1235009057030.9532370479-6940.95323704792
12492661113795.777383181-21134.7773831815
1254669867901.0904584449-21203.0904584449
12661361101283.466319099-39922.4663190994
1278433780892.39524298623444.6047570138
1287253553636.806075093318898.1939249067
1298485682608.00744156292247.99255843712
130124064112837.62946504411226.3705349561
1315415772702.5009901992-18545.5009901992
1327630289688.6968030447-13386.6968030447
1335938285957.1963675912-26575.1963675912
1346574598309.8722260054-32564.8722260054
13574914107664.618650504-32750.6186505041
13610164588843.888357340312801.1116426597
1377350464509.30568701868994.69431298135
1389937394159.41164682875213.5883531713
139135458121917.55795878713540.4420412135
140184510184132.227982255377.772017745436
141385534249637.288470713135896.711529287
142108043117183.602010898-9140.60201089802
143328107256124.23620068371982.7637993166
144362301232709.468837977129591.531162023
145130585166831.336099879-36246.3360998794
1468570979630.51616863396078.48383136609
147174184154805.56734977519378.4326502251
1488143791593.973562946-10156.973562946
149120982161707.880367402-40725.8803674018
150187559229242.931716484-41683.9317164838
151235800235359.084863228440.915136772309
152220516202117.73421743918398.2657825605
153210907186642.85191135624264.1480886444
154155754146214.0765378729539.92346212837
155152299158744.048084598-6445.04808459794
1567986390185.6732018465-10322.6732018465
157346485254401.42189817692083.5781018239
158135649189254.204094512-53605.2040945122
159134019103979.98535914630039.0146408537
160167488155705.91055373611782.0894462637
161108446106600.812297491845.18770251029
1622763435860.5762083962-8226.57620839619
163232317230511.4033670381805.59663296165
1642264855402.1827122368-32754.1827122368
16511930886203.241948390233104.7580516098
166194979189958.259067755020.7409322501
16781240140195.735672993-58955.7356729929
16812184898057.316020501923790.6839794981
1698667873846.651401345412831.3485986546
1707356684171.3855519457-10605.3855519457
17110201099289.33599662612720.66400337388
172151101144365.4976771636735.50232283681
173207176176157.45328130931018.5467186914
174165543170335.464118181-4792.4641181805
175182999237796.039210419-54797.0392104186
176256462272161.679551142-15699.6795511424
177244052249637.2213583-5585.22135830037
17863123102695.857857336-39572.857857336
17987186104144.126900372-16958.1269003724
180182079239545.791724461-57466.7917244613
18195227102242.034377229-7015.03437722945
182165446136456.93640347628989.0635965236
183229242313366.061441336-84124.0614413358
184167542154839.32814992212702.6718500779
185225060244123.269654007-19063.2696540073
186164709214074.110470681-49365.1104706809
187131698150242.353081999-18544.3530819994
1885661351187.74352258295425.25647741714
189250579263030.383585445-12451.3835854452
1904429658433.9615539152-14137.9615539152
191152474205650.423341037-53176.4233410369
1928623085148.48237368421081.51762631577
193258873218782.26769908440090.7323009155
1944156646863.9591895281-5297.95918952809
195250047148959.46069769101087.539302309
196243511256093.548526166-12582.5485261659
1976221564768.3205689752-2553.32056897518
198104838113630.032762637-8792.03276263664
1997727296345.3022993226-19073.3022993226
200148446281448.020457765-133002.020457765
2016930491103.1355459821-21799.1355459821
202102538125006.515667594-22468.5156675935
203101097106583.826130681-5486.82613068089
204223632222967.951038038664.048961961945
205141722134241.3030612297480.69693877132
206351067319204.38137115431862.6186288462
207311473292217.88431128219255.1156887175
208152601126496.59368732726104.4063126732
209215147215778.999466797-631.999466797248
2105216497728.429643433-45564.429643433
2119100574305.498164516316699.5018354837
212265318300371.126470377-35053.1264703771
213299775225694.08825651874080.9117434818
214241066199563.30191475841502.6980852423
215118612115144.9216125563467.07838744373
216173326229318.77279225-55992.7727922498
217225548224734.137043526813.862956473704
218277965267129.08693959810835.9130604018
219317394236561.38637683580832.6136231647
220177939166404.3865150611534.61348494
2219263076128.247428730216501.7525712698
222140344120835.94583669319508.0541633071
223230964218577.04775771212386.9522422876
224199476215830.706755735-16354.7067557348
225174724253584.068328248-78860.0683282478
226128423157121.30914765-28698.3091476499
227341570276325.82100695865244.1789930421
2286418763542.5535135037644.446486496344
229150580129366.56705539721213.4329446026
230204713166737.40237277237975.5976272277
231244749232893.85496386811855.1450361318
2329814678340.805975150619805.1940248494
233351619282060.6706313569558.32936865
2345898171961.1622997273-12980.1622997273
235233328259326.798349164-25998.7983491638
236182613185337.615454876-2724.615454876
2378911389384.7252780933-271.725278093338
238324799357555.709514713-32756.7095147128
239143246211851.398009847-68605.398009847
2404015156356.3856727308-16205.3856727308
24115839989581.204450574168817.7955494259
242195838225762.806765527-29924.8067655271
243286468230066.71494184656401.2850581543
244175824178464.324504404-2640.32450440415
245143756204134.467288243-60378.4672882427
246139942138542.934221981399.06577801992
247104011118584.313703994-14573.313703994
248196553151550.02081313245002.9791868681
249180083162943.95074317417139.0492568259
250260561253427.9742590537133.02574094715
251294424237253.99074103457170.0092589657
25299611110771.428561051-11160.4285610514
253131069149883.960419162-18814.9604191616
2546547571788.2639314254-6313.26393142538
255237213209137.56559932528075.4344006753
256324598279774.17074908944823.8292509112
257170266165501.3670813674764.63291863338
258269651211762.034147457888.9658526003
259243060177342.828960565717.1710394999
260149112158328.537853733-9216.53785373258
261174415214537.809168882-40122.8091688825
262133131142071.948709635-8940.94870963534
263133328134989.498577572-1661.49857757169
26456653105014.025394422-48361.0253944217
2655085766492.14892858-15635.14892858
26674408101628.185927191-27220.1859271914
267193339214725.062869174-21386.0628691735
268275541231415.94628667444125.0537133257
26996560126760.008371261-30200.0083712609
270243199209784.82264589133414.1773541088
27176702110339.554850085-33637.5548500849
272272458233171.30835818139286.6916418194
273103425101037.849418792387.15058121024
274271856238987.87474503932868.1252549608
275139526187045.045819149-47519.0458191491
276172494168776.169055313717.83094468998
277120445163157.664087636-42712.664087636
278181528111533.36909005669994.6309099438
279236785225770.07052821711014.9294717831
280224330276793.718356457-52463.7183564568
281202925241314.038123668-38389.0381236676
2823083733739.3381628266-2902.33816282663
283329267355171.599003177-25904.5990031772
284125930131329.976119119-5399.97611911854
285204271191045.55686999413225.4431300057
2865156776116.5860789986-24549.5860789986
287325107229491.20928336395615.7907166371
288119016206392.607532624-87376.6075326241
289265769272125.201731712-6356.20173171153






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.1070793098423590.2141586196847180.892920690157641
120.03888741401761930.07777482803523860.961112585982381
130.01836929323355480.03673858646710960.981630706766445
140.006382970329142770.01276594065828550.993617029670857
150.001968839682541950.003937679365083890.998031160317458
160.0007178486206416550.001435697241283310.999282151379358
170.0002070586283043290.0004141172566086580.999792941371696
180.0001251743211446460.0002503486422892920.999874825678855
193.87252562314542e-057.74505124629085e-050.999961274743769
203.36847297852297e-056.73694595704593e-050.999966315270215
213.74738840382829e-057.49477680765658e-050.999962526115962
221.19551048070667e-052.39102096141333e-050.999988044895193
234.29835304067128e-068.59670608134257e-060.999995701646959
244.63510530387516e-069.27021060775033e-060.999995364894696
250.001677985453540960.003355970907081920.998322014546459
260.001167861481183890.002335722962367770.998832138518816
270.08926185235409820.1785237047081960.910738147645902
280.06451884659361510.129037693187230.935481153406385
290.05577482882420360.1115496576484070.944225171175796
300.05236767168851240.1047353433770250.947632328311488
310.03716811895917150.07433623791834290.962831881040829
320.06425261479534530.1285052295906910.935747385204655
330.1081028024355280.2162056048710560.891897197564472
340.08608287799403330.1721657559880670.913917122005967
350.06852569463383030.1370513892676610.93147430536617
360.05730936756477830.1146187351295570.942690632435222
370.04796031265039410.09592062530078830.952039687349606
380.03539094988464860.07078189976929720.964609050115351
390.1356792014020850.271358402804170.864320798597915
400.1121769274122920.2243538548245830.887823072587708
410.09322993451531710.1864598690306340.906770065484683
420.08427442027774390.1685488405554880.915725579722256
430.06583602110634190.1316720422126840.934163978893658
440.05029258336811960.1005851667362390.94970741663188
450.3398813053342760.6797626106685520.660118694665724
460.3423093180941430.6846186361882860.657690681905857
470.3062269778354860.6124539556709730.693773022164514
480.2700744972025540.5401489944051080.729925502797446
490.2665830246261680.5331660492523360.733416975373832
500.2405486869232310.4810973738464610.759451313076769
510.2124502478259410.4249004956518820.787549752174059
520.2038256461622240.4076512923244480.796174353837776
530.1762348429982480.3524696859964970.823765157001752
540.6118893930816880.7762212138366230.388110606918312
550.6431736485214410.7136527029571180.356826351478559
560.6244410305803610.7511179388392780.375558969419639
570.5899290256766230.8201419486467550.410070974323377
580.5716607771786010.8566784456427980.428339222821399
590.611821242576520.7763575148469590.38817875742348
600.8072424655546560.3855150688906880.192757534445344
610.8135052505852460.3729894988295080.186494749414754
620.805208773484260.389582453031480.19479122651574
630.7833568640149210.4332862719701570.216643135985079
640.7586753682364990.4826492635270030.241324631763501
650.7503413428339730.4993173143320530.249658657166027
660.7198921790457850.5602156419084310.280107820954215
670.7067633579524260.5864732840951490.293236642047574
680.6754956172005910.6490087655988180.324504382799409
690.6602217962225970.6795564075548060.339778203777403
700.6322475336502170.7355049326995660.367752466349783
710.5945213532859870.8109572934280260.405478646714013
720.556004354234070.887991291531860.44399564576593
730.517832730983320.9643345380333590.48216726901668
740.4790074365132880.9580148730265770.520992563486712
750.442334533086960.8846690661739210.55766546691304
760.406145107312160.812290214624320.59385489268784
770.3797921688113760.7595843376227520.620207831188624
780.3807522712080040.7615045424160080.619247728791996
790.3470521719468570.6941043438937130.652947828053143
800.3155069425787850.6310138851575690.684493057421215
810.2821825362825940.5643650725651890.717817463717406
820.2649815406980140.5299630813960280.735018459301986
830.2344489177273930.4688978354547850.765551082272607
840.3330873783683960.6661747567367910.666912621631604
850.2995844805595760.5991689611191520.700415519440424
860.309138084264470.6182761685289390.69086191573553
870.277489976155560.554979952311120.72251002384444
880.2734173090320380.5468346180640770.726582690967962
890.245057485720960.4901149714419190.75494251427904
900.216871643547810.4337432870956190.78312835645219
910.2029483574028880.4058967148057760.797051642597112
920.194591486530530.389182973061060.80540851346947
930.1780887760303780.3561775520607550.821911223969622
940.1698196656807840.3396393313615690.830180334319216
950.1588890823957050.3177781647914090.841110917604295
960.1443606742357430.2887213484714850.855639325764257
970.1248573294947590.2497146589895190.875142670505241
980.1300062616926390.2600125233852780.869993738307361
990.1182519229846540.2365038459693070.881748077015346
1000.1072219109328060.2144438218656130.892778089067193
1010.09140201249740930.1828040249948190.908597987502591
1020.0838439648525990.1676879297051980.916156035147401
1030.07370535451641350.1474107090328270.926294645483587
1040.07116334607593990.142326692151880.92883665392406
1050.06126315488448640.1225263097689730.938736845115514
1060.05311609698183530.1062321939636710.946883903018165
1070.07624082099681050.1524816419936210.923759179003189
1080.06436559538785950.1287311907757190.935634404612141
1090.05380370530304550.1076074106060910.946196294696955
1100.04934257770599010.09868515541198030.95065742229401
1110.06027359308128170.1205471861625630.939726406918718
1120.05166251671857930.1033250334371590.948337483281421
1130.04289873242522980.08579746485045960.95710126757477
1140.03785777300304310.07571554600608620.962142226996957
1150.03108215040405730.06216430080811450.968917849595943
1160.02539988925202840.05079977850405680.974600110747972
1170.02069970985150820.04139941970301650.979300290148492
1180.02139061083786350.0427812216757270.978609389162136
1190.0196456487905910.0392912975811820.980354351209409
1200.01592698838723380.03185397677446750.984073011612766
1210.02124946681766640.04249893363533280.978750533182334
1220.02059681800175640.04119363600351270.979403181998244
1230.01667577787867450.03335155575734890.983324222121326
1240.01465349570409070.02930699140818130.985346504295909
1250.01289099547658280.02578199095316550.987109004523417
1260.01426649164611570.02853298329223130.985733508353884
1270.01145836290680910.02291672581361820.988541637093191
1280.00986775636872390.01973551273744780.990132243631276
1290.007826102257044320.01565220451408860.992173897742956
1300.006299745165511370.01259949033102270.993700254834489
1310.005154514083153780.01030902816630760.994845485916846
1320.004106555059490530.008213110118981050.995893444940509
1330.003608118550504320.007216237101008640.996391881449496
1340.003337764826348980.006675529652697960.996662235173651
1350.003033790604929360.006067581209858710.996966209395071
1360.002394574667491110.004789149334982220.997605425332509
1370.00188516741376370.003770334827527390.998114832586236
1380.001432483274552160.002864966549104330.998567516725448
1390.001115556759488720.002231113518977450.998884443240511
1400.0008662463114615610.001732492622923120.999133753688538
1410.02252982912279170.04505965824558350.977470170877208
1420.01873481636185730.03746963272371470.981265183638143
1430.03316767192517890.06633534385035780.966832328074821
1440.1616716661061030.3233433322122050.838328333893897
1450.1630641022646630.3261282045293270.836935897735337
1460.1442090078427650.2884180156855310.855790992157235
1470.1310761346425150.262152269285030.868923865357485
1480.1153573381359510.2307146762719020.884642661864049
1490.1217306438310050.2434612876620090.878269356168995
1500.139180146764590.278360293529180.86081985323541
1510.1214365598348370.2428731196696740.878563440165163
1520.1098975133469860.2197950266939710.890102486653014
1530.1014260103544990.2028520207089990.898573989645501
1540.08876944040054020.177538880801080.91123055959946
1550.07604980615189890.1520996123037980.923950193848101
1560.06502751564181030.1300550312836210.93497248435819
1570.142133111731910.2842662234638190.85786688826809
1580.1619315007083480.3238630014166960.838068499291652
1590.1564369816179580.3128739632359170.843563018382042
1600.1396665118529020.2793330237058030.860333488147098
1610.1223884206818830.2447768413637660.877611579318117
1620.1059947439750310.2119894879500620.894005256024969
1630.09152421682122420.1830484336424480.908475783178776
1640.08624493127318440.1724898625463690.913755068726816
1650.0861340321517690.1722680643035380.913865967848231
1660.07365053958527750.1473010791705550.926349460414723
1670.09371298465561960.1874259693112390.90628701534438
1680.08745704203805720.1749140840761140.912542957961943
1690.07675593428845640.1535118685769130.923244065711544
1700.0654792670468450.130958534093690.934520732953155
1710.05583105918688620.1116621183737720.944168940813114
1720.04723120202656990.09446240405313980.95276879797343
1730.04487575085668160.08975150171336320.955124249143318
1740.03756474692818680.07512949385637360.962435253071813
1750.05456187022412660.1091237404482530.945438129775873
1760.04851861585020180.09703723170040360.951481384149798
1770.04063375814656760.08126751629313510.959366241853432
1780.04011480778411450.08022961556822910.959885192215885
1790.03426253291276020.06852506582552030.96573746708724
1800.04218295972438510.08436591944877020.957817040275615
1810.03538789297923190.07077578595846380.964612107020768
1820.03390583399336630.06781166798673260.966094166006634
1830.07307195922595270.1461439184519050.926928040774047
1840.06307378046981360.1261475609396270.936926219530186
1850.0557174101013210.1114348202026420.944282589898679
1860.06555364181694910.1311072836338980.934446358183051
1870.05719280220755850.1143856044151170.942807197792441
1880.04828963323291140.09657926646582280.951710366767089
1890.04066869487225040.08133738974450070.95933130512775
1900.03451793086524420.06903586173048840.965482069134756
1910.04098342121375790.08196684242751580.959016578786242
1920.03374204911544790.06748409823089570.966257950884552
1930.03511881173624850.07023762347249690.964881188263752
1940.02871115817618160.05742231635236330.971288841823818
1950.08677541857047040.1735508371409410.91322458142953
1960.07497472349891040.1499494469978210.92502527650109
1970.06306305487836420.1261261097567280.936936945121636
1980.05278232244410230.1055646448882050.947217677555898
1990.04502221412896490.09004442825792980.954977785871035
2000.2748935343093630.5497870686187250.725106465690638
2010.2544590456127920.5089180912255830.745540954387208
2020.2362317466971220.4724634933942440.763768253302878
2030.2090478762945650.4180957525891310.790952123705435
2040.1831433756921440.3662867513842880.816856624307856
2050.1664815143023220.3329630286046430.833518485697678
2060.1538210841211810.3076421682423620.846178915878819
2070.1355704168850580.2711408337701160.864429583114942
2080.1208313582383190.2416627164766380.879168641761681
2090.1037097392476410.2074194784952820.896290260752359
2100.1122263029064850.224452605812970.887773697093515
2110.09683631814094030.1936726362818810.90316368185906
2120.1000790212934680.2001580425869350.899920978706532
2130.1404193404789540.2808386809579090.859580659521046
2140.1346253839495860.2692507678991730.865374616050414
2150.114865805010560.2297316100211190.88513419498944
2160.1548089538295050.3096179076590110.845191046170495
2170.1340137231146510.2680274462293020.865986276885349
2180.1150073869041330.2300147738082670.884992613095867
2190.1907916367478210.3815832734956420.809208363252179
2200.165487957631250.3309759152624990.83451204236875
2210.1491808526137670.2983617052275340.850819147386233
2220.1303293493754150.260658698750830.869670650624585
2230.1109384755526450.2218769511052910.889061524447355
2240.0993617962010070.1987235924020140.900638203798993
2250.180085184525460.3601703690509190.81991481547454
2260.2025701558866960.4051403117733920.797429844113304
2270.2847233605249270.5694467210498550.715276639475073
2280.2513866635216380.5027733270432760.748613336478362
2290.2233600172207650.446720034441530.776639982779235
2300.2190205458491380.4380410916982750.780979454150862
2310.1897836709555150.3795673419110310.810216329044485
2320.1682611771500240.3365223543000470.831738822849976
2330.2203228904520330.4406457809040660.779677109547967
2340.1994521205316730.3989042410633470.800547879468327
2350.176969809217450.3539396184348990.82303019078255
2360.1505385560761460.3010771121522910.849461443923854
2370.1257698348913820.2515396697827640.874230165108618
2380.123610323416050.2472206468321010.87638967658395
2390.2115502606841060.4231005213682120.788449739315894
2400.1819086504434350.363817300886870.818091349556565
2410.2494902738556230.4989805477112460.750509726144377
2420.2443885126696820.4887770253393640.755611487330318
2430.2671497297661920.5342994595323840.732850270233808
2440.2294950560435720.4589901120871440.770504943956428
2450.3564464489633890.7128928979267790.643553551036611
2460.3161208759833920.6322417519667840.683879124016608
2470.293323140633430.5866462812668590.70667685936657
2480.2778773222988760.5557546445977520.722122677701124
2490.2432294626848870.4864589253697750.756770537315113
2500.2337301628979390.4674603257958780.766269837102061
2510.2298445252276440.4596890504552890.770155474772356
2520.1994500258287990.3989000516575980.800549974171201
2530.1829561135077670.3659122270155340.817043886492233
2540.1490389243358560.2980778486717110.850961075664144
2550.1207818777227150.2415637554454290.879218122277285
2560.1147467822375430.2294935644750860.885253217762457
2570.09650633556982690.1930126711396540.903493664430173
2580.1248189066042930.2496378132085860.875181093395707
2590.2474367271569020.4948734543138030.752563272843098
2600.2112191280760470.4224382561520940.788780871923953
2610.2080721615112440.4161443230224880.791927838488756
2620.1772922800098960.3545845600197920.822707719990104
2630.1379089962588130.2758179925176270.862091003741187
2640.1727640671092640.3455281342185290.827235932890736
2650.137597281191120.275194562382240.86240271880888
2660.1038913882448590.2077827764897170.896108611755141
2670.07716385360237070.1543277072047410.922836146397629
2680.07840829227298160.1568165845459630.921591707727018
2690.06726737627231470.1345347525446290.932732623727685
2700.1139383990656180.2278767981312370.886061600934382
2710.08823702125110980.176474042502220.91176297874889
2720.0726019024920920.1452038049841840.927398097507908
2730.04745579445693490.09491158891386990.952544205543065
2740.0285061819432960.0570123638865920.971493818056704
2750.03454738668800840.06909477337601670.965452613311992
2760.1456244945386050.291248989077210.854375505461395
2770.1425141028854280.2850282057708560.857485897114572
2780.2431915634517850.4863831269035710.756808436548215

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.107079309842359 & 0.214158619684718 & 0.892920690157641 \tabularnewline
12 & 0.0388874140176193 & 0.0777748280352386 & 0.961112585982381 \tabularnewline
13 & 0.0183692932335548 & 0.0367385864671096 & 0.981630706766445 \tabularnewline
14 & 0.00638297032914277 & 0.0127659406582855 & 0.993617029670857 \tabularnewline
15 & 0.00196883968254195 & 0.00393767936508389 & 0.998031160317458 \tabularnewline
16 & 0.000717848620641655 & 0.00143569724128331 & 0.999282151379358 \tabularnewline
17 & 0.000207058628304329 & 0.000414117256608658 & 0.999792941371696 \tabularnewline
18 & 0.000125174321144646 & 0.000250348642289292 & 0.999874825678855 \tabularnewline
19 & 3.87252562314542e-05 & 7.74505124629085e-05 & 0.999961274743769 \tabularnewline
20 & 3.36847297852297e-05 & 6.73694595704593e-05 & 0.999966315270215 \tabularnewline
21 & 3.74738840382829e-05 & 7.49477680765658e-05 & 0.999962526115962 \tabularnewline
22 & 1.19551048070667e-05 & 2.39102096141333e-05 & 0.999988044895193 \tabularnewline
23 & 4.29835304067128e-06 & 8.59670608134257e-06 & 0.999995701646959 \tabularnewline
24 & 4.63510530387516e-06 & 9.27021060775033e-06 & 0.999995364894696 \tabularnewline
25 & 0.00167798545354096 & 0.00335597090708192 & 0.998322014546459 \tabularnewline
26 & 0.00116786148118389 & 0.00233572296236777 & 0.998832138518816 \tabularnewline
27 & 0.0892618523540982 & 0.178523704708196 & 0.910738147645902 \tabularnewline
28 & 0.0645188465936151 & 0.12903769318723 & 0.935481153406385 \tabularnewline
29 & 0.0557748288242036 & 0.111549657648407 & 0.944225171175796 \tabularnewline
30 & 0.0523676716885124 & 0.104735343377025 & 0.947632328311488 \tabularnewline
31 & 0.0371681189591715 & 0.0743362379183429 & 0.962831881040829 \tabularnewline
32 & 0.0642526147953453 & 0.128505229590691 & 0.935747385204655 \tabularnewline
33 & 0.108102802435528 & 0.216205604871056 & 0.891897197564472 \tabularnewline
34 & 0.0860828779940333 & 0.172165755988067 & 0.913917122005967 \tabularnewline
35 & 0.0685256946338303 & 0.137051389267661 & 0.93147430536617 \tabularnewline
36 & 0.0573093675647783 & 0.114618735129557 & 0.942690632435222 \tabularnewline
37 & 0.0479603126503941 & 0.0959206253007883 & 0.952039687349606 \tabularnewline
38 & 0.0353909498846486 & 0.0707818997692972 & 0.964609050115351 \tabularnewline
39 & 0.135679201402085 & 0.27135840280417 & 0.864320798597915 \tabularnewline
40 & 0.112176927412292 & 0.224353854824583 & 0.887823072587708 \tabularnewline
41 & 0.0932299345153171 & 0.186459869030634 & 0.906770065484683 \tabularnewline
42 & 0.0842744202777439 & 0.168548840555488 & 0.915725579722256 \tabularnewline
43 & 0.0658360211063419 & 0.131672042212684 & 0.934163978893658 \tabularnewline
44 & 0.0502925833681196 & 0.100585166736239 & 0.94970741663188 \tabularnewline
45 & 0.339881305334276 & 0.679762610668552 & 0.660118694665724 \tabularnewline
46 & 0.342309318094143 & 0.684618636188286 & 0.657690681905857 \tabularnewline
47 & 0.306226977835486 & 0.612453955670973 & 0.693773022164514 \tabularnewline
48 & 0.270074497202554 & 0.540148994405108 & 0.729925502797446 \tabularnewline
49 & 0.266583024626168 & 0.533166049252336 & 0.733416975373832 \tabularnewline
50 & 0.240548686923231 & 0.481097373846461 & 0.759451313076769 \tabularnewline
51 & 0.212450247825941 & 0.424900495651882 & 0.787549752174059 \tabularnewline
52 & 0.203825646162224 & 0.407651292324448 & 0.796174353837776 \tabularnewline
53 & 0.176234842998248 & 0.352469685996497 & 0.823765157001752 \tabularnewline
54 & 0.611889393081688 & 0.776221213836623 & 0.388110606918312 \tabularnewline
55 & 0.643173648521441 & 0.713652702957118 & 0.356826351478559 \tabularnewline
56 & 0.624441030580361 & 0.751117938839278 & 0.375558969419639 \tabularnewline
57 & 0.589929025676623 & 0.820141948646755 & 0.410070974323377 \tabularnewline
58 & 0.571660777178601 & 0.856678445642798 & 0.428339222821399 \tabularnewline
59 & 0.61182124257652 & 0.776357514846959 & 0.38817875742348 \tabularnewline
60 & 0.807242465554656 & 0.385515068890688 & 0.192757534445344 \tabularnewline
61 & 0.813505250585246 & 0.372989498829508 & 0.186494749414754 \tabularnewline
62 & 0.80520877348426 & 0.38958245303148 & 0.19479122651574 \tabularnewline
63 & 0.783356864014921 & 0.433286271970157 & 0.216643135985079 \tabularnewline
64 & 0.758675368236499 & 0.482649263527003 & 0.241324631763501 \tabularnewline
65 & 0.750341342833973 & 0.499317314332053 & 0.249658657166027 \tabularnewline
66 & 0.719892179045785 & 0.560215641908431 & 0.280107820954215 \tabularnewline
67 & 0.706763357952426 & 0.586473284095149 & 0.293236642047574 \tabularnewline
68 & 0.675495617200591 & 0.649008765598818 & 0.324504382799409 \tabularnewline
69 & 0.660221796222597 & 0.679556407554806 & 0.339778203777403 \tabularnewline
70 & 0.632247533650217 & 0.735504932699566 & 0.367752466349783 \tabularnewline
71 & 0.594521353285987 & 0.810957293428026 & 0.405478646714013 \tabularnewline
72 & 0.55600435423407 & 0.88799129153186 & 0.44399564576593 \tabularnewline
73 & 0.51783273098332 & 0.964334538033359 & 0.48216726901668 \tabularnewline
74 & 0.479007436513288 & 0.958014873026577 & 0.520992563486712 \tabularnewline
75 & 0.44233453308696 & 0.884669066173921 & 0.55766546691304 \tabularnewline
76 & 0.40614510731216 & 0.81229021462432 & 0.59385489268784 \tabularnewline
77 & 0.379792168811376 & 0.759584337622752 & 0.620207831188624 \tabularnewline
78 & 0.380752271208004 & 0.761504542416008 & 0.619247728791996 \tabularnewline
79 & 0.347052171946857 & 0.694104343893713 & 0.652947828053143 \tabularnewline
80 & 0.315506942578785 & 0.631013885157569 & 0.684493057421215 \tabularnewline
81 & 0.282182536282594 & 0.564365072565189 & 0.717817463717406 \tabularnewline
82 & 0.264981540698014 & 0.529963081396028 & 0.735018459301986 \tabularnewline
83 & 0.234448917727393 & 0.468897835454785 & 0.765551082272607 \tabularnewline
84 & 0.333087378368396 & 0.666174756736791 & 0.666912621631604 \tabularnewline
85 & 0.299584480559576 & 0.599168961119152 & 0.700415519440424 \tabularnewline
86 & 0.30913808426447 & 0.618276168528939 & 0.69086191573553 \tabularnewline
87 & 0.27748997615556 & 0.55497995231112 & 0.72251002384444 \tabularnewline
88 & 0.273417309032038 & 0.546834618064077 & 0.726582690967962 \tabularnewline
89 & 0.24505748572096 & 0.490114971441919 & 0.75494251427904 \tabularnewline
90 & 0.21687164354781 & 0.433743287095619 & 0.78312835645219 \tabularnewline
91 & 0.202948357402888 & 0.405896714805776 & 0.797051642597112 \tabularnewline
92 & 0.19459148653053 & 0.38918297306106 & 0.80540851346947 \tabularnewline
93 & 0.178088776030378 & 0.356177552060755 & 0.821911223969622 \tabularnewline
94 & 0.169819665680784 & 0.339639331361569 & 0.830180334319216 \tabularnewline
95 & 0.158889082395705 & 0.317778164791409 & 0.841110917604295 \tabularnewline
96 & 0.144360674235743 & 0.288721348471485 & 0.855639325764257 \tabularnewline
97 & 0.124857329494759 & 0.249714658989519 & 0.875142670505241 \tabularnewline
98 & 0.130006261692639 & 0.260012523385278 & 0.869993738307361 \tabularnewline
99 & 0.118251922984654 & 0.236503845969307 & 0.881748077015346 \tabularnewline
100 & 0.107221910932806 & 0.214443821865613 & 0.892778089067193 \tabularnewline
101 & 0.0914020124974093 & 0.182804024994819 & 0.908597987502591 \tabularnewline
102 & 0.083843964852599 & 0.167687929705198 & 0.916156035147401 \tabularnewline
103 & 0.0737053545164135 & 0.147410709032827 & 0.926294645483587 \tabularnewline
104 & 0.0711633460759399 & 0.14232669215188 & 0.92883665392406 \tabularnewline
105 & 0.0612631548844864 & 0.122526309768973 & 0.938736845115514 \tabularnewline
106 & 0.0531160969818353 & 0.106232193963671 & 0.946883903018165 \tabularnewline
107 & 0.0762408209968105 & 0.152481641993621 & 0.923759179003189 \tabularnewline
108 & 0.0643655953878595 & 0.128731190775719 & 0.935634404612141 \tabularnewline
109 & 0.0538037053030455 & 0.107607410606091 & 0.946196294696955 \tabularnewline
110 & 0.0493425777059901 & 0.0986851554119803 & 0.95065742229401 \tabularnewline
111 & 0.0602735930812817 & 0.120547186162563 & 0.939726406918718 \tabularnewline
112 & 0.0516625167185793 & 0.103325033437159 & 0.948337483281421 \tabularnewline
113 & 0.0428987324252298 & 0.0857974648504596 & 0.95710126757477 \tabularnewline
114 & 0.0378577730030431 & 0.0757155460060862 & 0.962142226996957 \tabularnewline
115 & 0.0310821504040573 & 0.0621643008081145 & 0.968917849595943 \tabularnewline
116 & 0.0253998892520284 & 0.0507997785040568 & 0.974600110747972 \tabularnewline
117 & 0.0206997098515082 & 0.0413994197030165 & 0.979300290148492 \tabularnewline
118 & 0.0213906108378635 & 0.042781221675727 & 0.978609389162136 \tabularnewline
119 & 0.019645648790591 & 0.039291297581182 & 0.980354351209409 \tabularnewline
120 & 0.0159269883872338 & 0.0318539767744675 & 0.984073011612766 \tabularnewline
121 & 0.0212494668176664 & 0.0424989336353328 & 0.978750533182334 \tabularnewline
122 & 0.0205968180017564 & 0.0411936360035127 & 0.979403181998244 \tabularnewline
123 & 0.0166757778786745 & 0.0333515557573489 & 0.983324222121326 \tabularnewline
124 & 0.0146534957040907 & 0.0293069914081813 & 0.985346504295909 \tabularnewline
125 & 0.0128909954765828 & 0.0257819909531655 & 0.987109004523417 \tabularnewline
126 & 0.0142664916461157 & 0.0285329832922313 & 0.985733508353884 \tabularnewline
127 & 0.0114583629068091 & 0.0229167258136182 & 0.988541637093191 \tabularnewline
128 & 0.0098677563687239 & 0.0197355127374478 & 0.990132243631276 \tabularnewline
129 & 0.00782610225704432 & 0.0156522045140886 & 0.992173897742956 \tabularnewline
130 & 0.00629974516551137 & 0.0125994903310227 & 0.993700254834489 \tabularnewline
131 & 0.00515451408315378 & 0.0103090281663076 & 0.994845485916846 \tabularnewline
132 & 0.00410655505949053 & 0.00821311011898105 & 0.995893444940509 \tabularnewline
133 & 0.00360811855050432 & 0.00721623710100864 & 0.996391881449496 \tabularnewline
134 & 0.00333776482634898 & 0.00667552965269796 & 0.996662235173651 \tabularnewline
135 & 0.00303379060492936 & 0.00606758120985871 & 0.996966209395071 \tabularnewline
136 & 0.00239457466749111 & 0.00478914933498222 & 0.997605425332509 \tabularnewline
137 & 0.0018851674137637 & 0.00377033482752739 & 0.998114832586236 \tabularnewline
138 & 0.00143248327455216 & 0.00286496654910433 & 0.998567516725448 \tabularnewline
139 & 0.00111555675948872 & 0.00223111351897745 & 0.998884443240511 \tabularnewline
140 & 0.000866246311461561 & 0.00173249262292312 & 0.999133753688538 \tabularnewline
141 & 0.0225298291227917 & 0.0450596582455835 & 0.977470170877208 \tabularnewline
142 & 0.0187348163618573 & 0.0374696327237147 & 0.981265183638143 \tabularnewline
143 & 0.0331676719251789 & 0.0663353438503578 & 0.966832328074821 \tabularnewline
144 & 0.161671666106103 & 0.323343332212205 & 0.838328333893897 \tabularnewline
145 & 0.163064102264663 & 0.326128204529327 & 0.836935897735337 \tabularnewline
146 & 0.144209007842765 & 0.288418015685531 & 0.855790992157235 \tabularnewline
147 & 0.131076134642515 & 0.26215226928503 & 0.868923865357485 \tabularnewline
148 & 0.115357338135951 & 0.230714676271902 & 0.884642661864049 \tabularnewline
149 & 0.121730643831005 & 0.243461287662009 & 0.878269356168995 \tabularnewline
150 & 0.13918014676459 & 0.27836029352918 & 0.86081985323541 \tabularnewline
151 & 0.121436559834837 & 0.242873119669674 & 0.878563440165163 \tabularnewline
152 & 0.109897513346986 & 0.219795026693971 & 0.890102486653014 \tabularnewline
153 & 0.101426010354499 & 0.202852020708999 & 0.898573989645501 \tabularnewline
154 & 0.0887694404005402 & 0.17753888080108 & 0.91123055959946 \tabularnewline
155 & 0.0760498061518989 & 0.152099612303798 & 0.923950193848101 \tabularnewline
156 & 0.0650275156418103 & 0.130055031283621 & 0.93497248435819 \tabularnewline
157 & 0.14213311173191 & 0.284266223463819 & 0.85786688826809 \tabularnewline
158 & 0.161931500708348 & 0.323863001416696 & 0.838068499291652 \tabularnewline
159 & 0.156436981617958 & 0.312873963235917 & 0.843563018382042 \tabularnewline
160 & 0.139666511852902 & 0.279333023705803 & 0.860333488147098 \tabularnewline
161 & 0.122388420681883 & 0.244776841363766 & 0.877611579318117 \tabularnewline
162 & 0.105994743975031 & 0.211989487950062 & 0.894005256024969 \tabularnewline
163 & 0.0915242168212242 & 0.183048433642448 & 0.908475783178776 \tabularnewline
164 & 0.0862449312731844 & 0.172489862546369 & 0.913755068726816 \tabularnewline
165 & 0.086134032151769 & 0.172268064303538 & 0.913865967848231 \tabularnewline
166 & 0.0736505395852775 & 0.147301079170555 & 0.926349460414723 \tabularnewline
167 & 0.0937129846556196 & 0.187425969311239 & 0.90628701534438 \tabularnewline
168 & 0.0874570420380572 & 0.174914084076114 & 0.912542957961943 \tabularnewline
169 & 0.0767559342884564 & 0.153511868576913 & 0.923244065711544 \tabularnewline
170 & 0.065479267046845 & 0.13095853409369 & 0.934520732953155 \tabularnewline
171 & 0.0558310591868862 & 0.111662118373772 & 0.944168940813114 \tabularnewline
172 & 0.0472312020265699 & 0.0944624040531398 & 0.95276879797343 \tabularnewline
173 & 0.0448757508566816 & 0.0897515017133632 & 0.955124249143318 \tabularnewline
174 & 0.0375647469281868 & 0.0751294938563736 & 0.962435253071813 \tabularnewline
175 & 0.0545618702241266 & 0.109123740448253 & 0.945438129775873 \tabularnewline
176 & 0.0485186158502018 & 0.0970372317004036 & 0.951481384149798 \tabularnewline
177 & 0.0406337581465676 & 0.0812675162931351 & 0.959366241853432 \tabularnewline
178 & 0.0401148077841145 & 0.0802296155682291 & 0.959885192215885 \tabularnewline
179 & 0.0342625329127602 & 0.0685250658255203 & 0.96573746708724 \tabularnewline
180 & 0.0421829597243851 & 0.0843659194487702 & 0.957817040275615 \tabularnewline
181 & 0.0353878929792319 & 0.0707757859584638 & 0.964612107020768 \tabularnewline
182 & 0.0339058339933663 & 0.0678116679867326 & 0.966094166006634 \tabularnewline
183 & 0.0730719592259527 & 0.146143918451905 & 0.926928040774047 \tabularnewline
184 & 0.0630737804698136 & 0.126147560939627 & 0.936926219530186 \tabularnewline
185 & 0.055717410101321 & 0.111434820202642 & 0.944282589898679 \tabularnewline
186 & 0.0655536418169491 & 0.131107283633898 & 0.934446358183051 \tabularnewline
187 & 0.0571928022075585 & 0.114385604415117 & 0.942807197792441 \tabularnewline
188 & 0.0482896332329114 & 0.0965792664658228 & 0.951710366767089 \tabularnewline
189 & 0.0406686948722504 & 0.0813373897445007 & 0.95933130512775 \tabularnewline
190 & 0.0345179308652442 & 0.0690358617304884 & 0.965482069134756 \tabularnewline
191 & 0.0409834212137579 & 0.0819668424275158 & 0.959016578786242 \tabularnewline
192 & 0.0337420491154479 & 0.0674840982308957 & 0.966257950884552 \tabularnewline
193 & 0.0351188117362485 & 0.0702376234724969 & 0.964881188263752 \tabularnewline
194 & 0.0287111581761816 & 0.0574223163523633 & 0.971288841823818 \tabularnewline
195 & 0.0867754185704704 & 0.173550837140941 & 0.91322458142953 \tabularnewline
196 & 0.0749747234989104 & 0.149949446997821 & 0.92502527650109 \tabularnewline
197 & 0.0630630548783642 & 0.126126109756728 & 0.936936945121636 \tabularnewline
198 & 0.0527823224441023 & 0.105564644888205 & 0.947217677555898 \tabularnewline
199 & 0.0450222141289649 & 0.0900444282579298 & 0.954977785871035 \tabularnewline
200 & 0.274893534309363 & 0.549787068618725 & 0.725106465690638 \tabularnewline
201 & 0.254459045612792 & 0.508918091225583 & 0.745540954387208 \tabularnewline
202 & 0.236231746697122 & 0.472463493394244 & 0.763768253302878 \tabularnewline
203 & 0.209047876294565 & 0.418095752589131 & 0.790952123705435 \tabularnewline
204 & 0.183143375692144 & 0.366286751384288 & 0.816856624307856 \tabularnewline
205 & 0.166481514302322 & 0.332963028604643 & 0.833518485697678 \tabularnewline
206 & 0.153821084121181 & 0.307642168242362 & 0.846178915878819 \tabularnewline
207 & 0.135570416885058 & 0.271140833770116 & 0.864429583114942 \tabularnewline
208 & 0.120831358238319 & 0.241662716476638 & 0.879168641761681 \tabularnewline
209 & 0.103709739247641 & 0.207419478495282 & 0.896290260752359 \tabularnewline
210 & 0.112226302906485 & 0.22445260581297 & 0.887773697093515 \tabularnewline
211 & 0.0968363181409403 & 0.193672636281881 & 0.90316368185906 \tabularnewline
212 & 0.100079021293468 & 0.200158042586935 & 0.899920978706532 \tabularnewline
213 & 0.140419340478954 & 0.280838680957909 & 0.859580659521046 \tabularnewline
214 & 0.134625383949586 & 0.269250767899173 & 0.865374616050414 \tabularnewline
215 & 0.11486580501056 & 0.229731610021119 & 0.88513419498944 \tabularnewline
216 & 0.154808953829505 & 0.309617907659011 & 0.845191046170495 \tabularnewline
217 & 0.134013723114651 & 0.268027446229302 & 0.865986276885349 \tabularnewline
218 & 0.115007386904133 & 0.230014773808267 & 0.884992613095867 \tabularnewline
219 & 0.190791636747821 & 0.381583273495642 & 0.809208363252179 \tabularnewline
220 & 0.16548795763125 & 0.330975915262499 & 0.83451204236875 \tabularnewline
221 & 0.149180852613767 & 0.298361705227534 & 0.850819147386233 \tabularnewline
222 & 0.130329349375415 & 0.26065869875083 & 0.869670650624585 \tabularnewline
223 & 0.110938475552645 & 0.221876951105291 & 0.889061524447355 \tabularnewline
224 & 0.099361796201007 & 0.198723592402014 & 0.900638203798993 \tabularnewline
225 & 0.18008518452546 & 0.360170369050919 & 0.81991481547454 \tabularnewline
226 & 0.202570155886696 & 0.405140311773392 & 0.797429844113304 \tabularnewline
227 & 0.284723360524927 & 0.569446721049855 & 0.715276639475073 \tabularnewline
228 & 0.251386663521638 & 0.502773327043276 & 0.748613336478362 \tabularnewline
229 & 0.223360017220765 & 0.44672003444153 & 0.776639982779235 \tabularnewline
230 & 0.219020545849138 & 0.438041091698275 & 0.780979454150862 \tabularnewline
231 & 0.189783670955515 & 0.379567341911031 & 0.810216329044485 \tabularnewline
232 & 0.168261177150024 & 0.336522354300047 & 0.831738822849976 \tabularnewline
233 & 0.220322890452033 & 0.440645780904066 & 0.779677109547967 \tabularnewline
234 & 0.199452120531673 & 0.398904241063347 & 0.800547879468327 \tabularnewline
235 & 0.17696980921745 & 0.353939618434899 & 0.82303019078255 \tabularnewline
236 & 0.150538556076146 & 0.301077112152291 & 0.849461443923854 \tabularnewline
237 & 0.125769834891382 & 0.251539669782764 & 0.874230165108618 \tabularnewline
238 & 0.12361032341605 & 0.247220646832101 & 0.87638967658395 \tabularnewline
239 & 0.211550260684106 & 0.423100521368212 & 0.788449739315894 \tabularnewline
240 & 0.181908650443435 & 0.36381730088687 & 0.818091349556565 \tabularnewline
241 & 0.249490273855623 & 0.498980547711246 & 0.750509726144377 \tabularnewline
242 & 0.244388512669682 & 0.488777025339364 & 0.755611487330318 \tabularnewline
243 & 0.267149729766192 & 0.534299459532384 & 0.732850270233808 \tabularnewline
244 & 0.229495056043572 & 0.458990112087144 & 0.770504943956428 \tabularnewline
245 & 0.356446448963389 & 0.712892897926779 & 0.643553551036611 \tabularnewline
246 & 0.316120875983392 & 0.632241751966784 & 0.683879124016608 \tabularnewline
247 & 0.29332314063343 & 0.586646281266859 & 0.70667685936657 \tabularnewline
248 & 0.277877322298876 & 0.555754644597752 & 0.722122677701124 \tabularnewline
249 & 0.243229462684887 & 0.486458925369775 & 0.756770537315113 \tabularnewline
250 & 0.233730162897939 & 0.467460325795878 & 0.766269837102061 \tabularnewline
251 & 0.229844525227644 & 0.459689050455289 & 0.770155474772356 \tabularnewline
252 & 0.199450025828799 & 0.398900051657598 & 0.800549974171201 \tabularnewline
253 & 0.182956113507767 & 0.365912227015534 & 0.817043886492233 \tabularnewline
254 & 0.149038924335856 & 0.298077848671711 & 0.850961075664144 \tabularnewline
255 & 0.120781877722715 & 0.241563755445429 & 0.879218122277285 \tabularnewline
256 & 0.114746782237543 & 0.229493564475086 & 0.885253217762457 \tabularnewline
257 & 0.0965063355698269 & 0.193012671139654 & 0.903493664430173 \tabularnewline
258 & 0.124818906604293 & 0.249637813208586 & 0.875181093395707 \tabularnewline
259 & 0.247436727156902 & 0.494873454313803 & 0.752563272843098 \tabularnewline
260 & 0.211219128076047 & 0.422438256152094 & 0.788780871923953 \tabularnewline
261 & 0.208072161511244 & 0.416144323022488 & 0.791927838488756 \tabularnewline
262 & 0.177292280009896 & 0.354584560019792 & 0.822707719990104 \tabularnewline
263 & 0.137908996258813 & 0.275817992517627 & 0.862091003741187 \tabularnewline
264 & 0.172764067109264 & 0.345528134218529 & 0.827235932890736 \tabularnewline
265 & 0.13759728119112 & 0.27519456238224 & 0.86240271880888 \tabularnewline
266 & 0.103891388244859 & 0.207782776489717 & 0.896108611755141 \tabularnewline
267 & 0.0771638536023707 & 0.154327707204741 & 0.922836146397629 \tabularnewline
268 & 0.0784082922729816 & 0.156816584545963 & 0.921591707727018 \tabularnewline
269 & 0.0672673762723147 & 0.134534752544629 & 0.932732623727685 \tabularnewline
270 & 0.113938399065618 & 0.227876798131237 & 0.886061600934382 \tabularnewline
271 & 0.0882370212511098 & 0.17647404250222 & 0.91176297874889 \tabularnewline
272 & 0.072601902492092 & 0.145203804984184 & 0.927398097507908 \tabularnewline
273 & 0.0474557944569349 & 0.0949115889138699 & 0.952544205543065 \tabularnewline
274 & 0.028506181943296 & 0.057012363886592 & 0.971493818056704 \tabularnewline
275 & 0.0345473866880084 & 0.0690947733760167 & 0.965452613311992 \tabularnewline
276 & 0.145624494538605 & 0.29124898907721 & 0.854375505461395 \tabularnewline
277 & 0.142514102885428 & 0.285028205770856 & 0.857485897114572 \tabularnewline
278 & 0.243191563451785 & 0.486383126903571 & 0.756808436548215 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155391&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]11[/C][C]0.107079309842359[/C][C]0.214158619684718[/C][C]0.892920690157641[/C][/ROW]
[ROW][C]12[/C][C]0.0388874140176193[/C][C]0.0777748280352386[/C][C]0.961112585982381[/C][/ROW]
[ROW][C]13[/C][C]0.0183692932335548[/C][C]0.0367385864671096[/C][C]0.981630706766445[/C][/ROW]
[ROW][C]14[/C][C]0.00638297032914277[/C][C]0.0127659406582855[/C][C]0.993617029670857[/C][/ROW]
[ROW][C]15[/C][C]0.00196883968254195[/C][C]0.00393767936508389[/C][C]0.998031160317458[/C][/ROW]
[ROW][C]16[/C][C]0.000717848620641655[/C][C]0.00143569724128331[/C][C]0.999282151379358[/C][/ROW]
[ROW][C]17[/C][C]0.000207058628304329[/C][C]0.000414117256608658[/C][C]0.999792941371696[/C][/ROW]
[ROW][C]18[/C][C]0.000125174321144646[/C][C]0.000250348642289292[/C][C]0.999874825678855[/C][/ROW]
[ROW][C]19[/C][C]3.87252562314542e-05[/C][C]7.74505124629085e-05[/C][C]0.999961274743769[/C][/ROW]
[ROW][C]20[/C][C]3.36847297852297e-05[/C][C]6.73694595704593e-05[/C][C]0.999966315270215[/C][/ROW]
[ROW][C]21[/C][C]3.74738840382829e-05[/C][C]7.49477680765658e-05[/C][C]0.999962526115962[/C][/ROW]
[ROW][C]22[/C][C]1.19551048070667e-05[/C][C]2.39102096141333e-05[/C][C]0.999988044895193[/C][/ROW]
[ROW][C]23[/C][C]4.29835304067128e-06[/C][C]8.59670608134257e-06[/C][C]0.999995701646959[/C][/ROW]
[ROW][C]24[/C][C]4.63510530387516e-06[/C][C]9.27021060775033e-06[/C][C]0.999995364894696[/C][/ROW]
[ROW][C]25[/C][C]0.00167798545354096[/C][C]0.00335597090708192[/C][C]0.998322014546459[/C][/ROW]
[ROW][C]26[/C][C]0.00116786148118389[/C][C]0.00233572296236777[/C][C]0.998832138518816[/C][/ROW]
[ROW][C]27[/C][C]0.0892618523540982[/C][C]0.178523704708196[/C][C]0.910738147645902[/C][/ROW]
[ROW][C]28[/C][C]0.0645188465936151[/C][C]0.12903769318723[/C][C]0.935481153406385[/C][/ROW]
[ROW][C]29[/C][C]0.0557748288242036[/C][C]0.111549657648407[/C][C]0.944225171175796[/C][/ROW]
[ROW][C]30[/C][C]0.0523676716885124[/C][C]0.104735343377025[/C][C]0.947632328311488[/C][/ROW]
[ROW][C]31[/C][C]0.0371681189591715[/C][C]0.0743362379183429[/C][C]0.962831881040829[/C][/ROW]
[ROW][C]32[/C][C]0.0642526147953453[/C][C]0.128505229590691[/C][C]0.935747385204655[/C][/ROW]
[ROW][C]33[/C][C]0.108102802435528[/C][C]0.216205604871056[/C][C]0.891897197564472[/C][/ROW]
[ROW][C]34[/C][C]0.0860828779940333[/C][C]0.172165755988067[/C][C]0.913917122005967[/C][/ROW]
[ROW][C]35[/C][C]0.0685256946338303[/C][C]0.137051389267661[/C][C]0.93147430536617[/C][/ROW]
[ROW][C]36[/C][C]0.0573093675647783[/C][C]0.114618735129557[/C][C]0.942690632435222[/C][/ROW]
[ROW][C]37[/C][C]0.0479603126503941[/C][C]0.0959206253007883[/C][C]0.952039687349606[/C][/ROW]
[ROW][C]38[/C][C]0.0353909498846486[/C][C]0.0707818997692972[/C][C]0.964609050115351[/C][/ROW]
[ROW][C]39[/C][C]0.135679201402085[/C][C]0.27135840280417[/C][C]0.864320798597915[/C][/ROW]
[ROW][C]40[/C][C]0.112176927412292[/C][C]0.224353854824583[/C][C]0.887823072587708[/C][/ROW]
[ROW][C]41[/C][C]0.0932299345153171[/C][C]0.186459869030634[/C][C]0.906770065484683[/C][/ROW]
[ROW][C]42[/C][C]0.0842744202777439[/C][C]0.168548840555488[/C][C]0.915725579722256[/C][/ROW]
[ROW][C]43[/C][C]0.0658360211063419[/C][C]0.131672042212684[/C][C]0.934163978893658[/C][/ROW]
[ROW][C]44[/C][C]0.0502925833681196[/C][C]0.100585166736239[/C][C]0.94970741663188[/C][/ROW]
[ROW][C]45[/C][C]0.339881305334276[/C][C]0.679762610668552[/C][C]0.660118694665724[/C][/ROW]
[ROW][C]46[/C][C]0.342309318094143[/C][C]0.684618636188286[/C][C]0.657690681905857[/C][/ROW]
[ROW][C]47[/C][C]0.306226977835486[/C][C]0.612453955670973[/C][C]0.693773022164514[/C][/ROW]
[ROW][C]48[/C][C]0.270074497202554[/C][C]0.540148994405108[/C][C]0.729925502797446[/C][/ROW]
[ROW][C]49[/C][C]0.266583024626168[/C][C]0.533166049252336[/C][C]0.733416975373832[/C][/ROW]
[ROW][C]50[/C][C]0.240548686923231[/C][C]0.481097373846461[/C][C]0.759451313076769[/C][/ROW]
[ROW][C]51[/C][C]0.212450247825941[/C][C]0.424900495651882[/C][C]0.787549752174059[/C][/ROW]
[ROW][C]52[/C][C]0.203825646162224[/C][C]0.407651292324448[/C][C]0.796174353837776[/C][/ROW]
[ROW][C]53[/C][C]0.176234842998248[/C][C]0.352469685996497[/C][C]0.823765157001752[/C][/ROW]
[ROW][C]54[/C][C]0.611889393081688[/C][C]0.776221213836623[/C][C]0.388110606918312[/C][/ROW]
[ROW][C]55[/C][C]0.643173648521441[/C][C]0.713652702957118[/C][C]0.356826351478559[/C][/ROW]
[ROW][C]56[/C][C]0.624441030580361[/C][C]0.751117938839278[/C][C]0.375558969419639[/C][/ROW]
[ROW][C]57[/C][C]0.589929025676623[/C][C]0.820141948646755[/C][C]0.410070974323377[/C][/ROW]
[ROW][C]58[/C][C]0.571660777178601[/C][C]0.856678445642798[/C][C]0.428339222821399[/C][/ROW]
[ROW][C]59[/C][C]0.61182124257652[/C][C]0.776357514846959[/C][C]0.38817875742348[/C][/ROW]
[ROW][C]60[/C][C]0.807242465554656[/C][C]0.385515068890688[/C][C]0.192757534445344[/C][/ROW]
[ROW][C]61[/C][C]0.813505250585246[/C][C]0.372989498829508[/C][C]0.186494749414754[/C][/ROW]
[ROW][C]62[/C][C]0.80520877348426[/C][C]0.38958245303148[/C][C]0.19479122651574[/C][/ROW]
[ROW][C]63[/C][C]0.783356864014921[/C][C]0.433286271970157[/C][C]0.216643135985079[/C][/ROW]
[ROW][C]64[/C][C]0.758675368236499[/C][C]0.482649263527003[/C][C]0.241324631763501[/C][/ROW]
[ROW][C]65[/C][C]0.750341342833973[/C][C]0.499317314332053[/C][C]0.249658657166027[/C][/ROW]
[ROW][C]66[/C][C]0.719892179045785[/C][C]0.560215641908431[/C][C]0.280107820954215[/C][/ROW]
[ROW][C]67[/C][C]0.706763357952426[/C][C]0.586473284095149[/C][C]0.293236642047574[/C][/ROW]
[ROW][C]68[/C][C]0.675495617200591[/C][C]0.649008765598818[/C][C]0.324504382799409[/C][/ROW]
[ROW][C]69[/C][C]0.660221796222597[/C][C]0.679556407554806[/C][C]0.339778203777403[/C][/ROW]
[ROW][C]70[/C][C]0.632247533650217[/C][C]0.735504932699566[/C][C]0.367752466349783[/C][/ROW]
[ROW][C]71[/C][C]0.594521353285987[/C][C]0.810957293428026[/C][C]0.405478646714013[/C][/ROW]
[ROW][C]72[/C][C]0.55600435423407[/C][C]0.88799129153186[/C][C]0.44399564576593[/C][/ROW]
[ROW][C]73[/C][C]0.51783273098332[/C][C]0.964334538033359[/C][C]0.48216726901668[/C][/ROW]
[ROW][C]74[/C][C]0.479007436513288[/C][C]0.958014873026577[/C][C]0.520992563486712[/C][/ROW]
[ROW][C]75[/C][C]0.44233453308696[/C][C]0.884669066173921[/C][C]0.55766546691304[/C][/ROW]
[ROW][C]76[/C][C]0.40614510731216[/C][C]0.81229021462432[/C][C]0.59385489268784[/C][/ROW]
[ROW][C]77[/C][C]0.379792168811376[/C][C]0.759584337622752[/C][C]0.620207831188624[/C][/ROW]
[ROW][C]78[/C][C]0.380752271208004[/C][C]0.761504542416008[/C][C]0.619247728791996[/C][/ROW]
[ROW][C]79[/C][C]0.347052171946857[/C][C]0.694104343893713[/C][C]0.652947828053143[/C][/ROW]
[ROW][C]80[/C][C]0.315506942578785[/C][C]0.631013885157569[/C][C]0.684493057421215[/C][/ROW]
[ROW][C]81[/C][C]0.282182536282594[/C][C]0.564365072565189[/C][C]0.717817463717406[/C][/ROW]
[ROW][C]82[/C][C]0.264981540698014[/C][C]0.529963081396028[/C][C]0.735018459301986[/C][/ROW]
[ROW][C]83[/C][C]0.234448917727393[/C][C]0.468897835454785[/C][C]0.765551082272607[/C][/ROW]
[ROW][C]84[/C][C]0.333087378368396[/C][C]0.666174756736791[/C][C]0.666912621631604[/C][/ROW]
[ROW][C]85[/C][C]0.299584480559576[/C][C]0.599168961119152[/C][C]0.700415519440424[/C][/ROW]
[ROW][C]86[/C][C]0.30913808426447[/C][C]0.618276168528939[/C][C]0.69086191573553[/C][/ROW]
[ROW][C]87[/C][C]0.27748997615556[/C][C]0.55497995231112[/C][C]0.72251002384444[/C][/ROW]
[ROW][C]88[/C][C]0.273417309032038[/C][C]0.546834618064077[/C][C]0.726582690967962[/C][/ROW]
[ROW][C]89[/C][C]0.24505748572096[/C][C]0.490114971441919[/C][C]0.75494251427904[/C][/ROW]
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[ROW][C]127[/C][C]0.0114583629068091[/C][C]0.0229167258136182[/C][C]0.988541637093191[/C][/ROW]
[ROW][C]128[/C][C]0.0098677563687239[/C][C]0.0197355127374478[/C][C]0.990132243631276[/C][/ROW]
[ROW][C]129[/C][C]0.00782610225704432[/C][C]0.0156522045140886[/C][C]0.992173897742956[/C][/ROW]
[ROW][C]130[/C][C]0.00629974516551137[/C][C]0.0125994903310227[/C][C]0.993700254834489[/C][/ROW]
[ROW][C]131[/C][C]0.00515451408315378[/C][C]0.0103090281663076[/C][C]0.994845485916846[/C][/ROW]
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[ROW][C]166[/C][C]0.0736505395852775[/C][C]0.147301079170555[/C][C]0.926349460414723[/C][/ROW]
[ROW][C]167[/C][C]0.0937129846556196[/C][C]0.187425969311239[/C][C]0.90628701534438[/C][/ROW]
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[ROW][C]189[/C][C]0.0406686948722504[/C][C]0.0813373897445007[/C][C]0.95933130512775[/C][/ROW]
[ROW][C]190[/C][C]0.0345179308652442[/C][C]0.0690358617304884[/C][C]0.965482069134756[/C][/ROW]
[ROW][C]191[/C][C]0.0409834212137579[/C][C]0.0819668424275158[/C][C]0.959016578786242[/C][/ROW]
[ROW][C]192[/C][C]0.0337420491154479[/C][C]0.0674840982308957[/C][C]0.966257950884552[/C][/ROW]
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[ROW][C]224[/C][C]0.099361796201007[/C][C]0.198723592402014[/C][C]0.900638203798993[/C][/ROW]
[ROW][C]225[/C][C]0.18008518452546[/C][C]0.360170369050919[/C][C]0.81991481547454[/C][/ROW]
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[ROW][C]227[/C][C]0.284723360524927[/C][C]0.569446721049855[/C][C]0.715276639475073[/C][/ROW]
[ROW][C]228[/C][C]0.251386663521638[/C][C]0.502773327043276[/C][C]0.748613336478362[/C][/ROW]
[ROW][C]229[/C][C]0.223360017220765[/C][C]0.44672003444153[/C][C]0.776639982779235[/C][/ROW]
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[ROW][C]231[/C][C]0.189783670955515[/C][C]0.379567341911031[/C][C]0.810216329044485[/C][/ROW]
[ROW][C]232[/C][C]0.168261177150024[/C][C]0.336522354300047[/C][C]0.831738822849976[/C][/ROW]
[ROW][C]233[/C][C]0.220322890452033[/C][C]0.440645780904066[/C][C]0.779677109547967[/C][/ROW]
[ROW][C]234[/C][C]0.199452120531673[/C][C]0.398904241063347[/C][C]0.800547879468327[/C][/ROW]
[ROW][C]235[/C][C]0.17696980921745[/C][C]0.353939618434899[/C][C]0.82303019078255[/C][/ROW]
[ROW][C]236[/C][C]0.150538556076146[/C][C]0.301077112152291[/C][C]0.849461443923854[/C][/ROW]
[ROW][C]237[/C][C]0.125769834891382[/C][C]0.251539669782764[/C][C]0.874230165108618[/C][/ROW]
[ROW][C]238[/C][C]0.12361032341605[/C][C]0.247220646832101[/C][C]0.87638967658395[/C][/ROW]
[ROW][C]239[/C][C]0.211550260684106[/C][C]0.423100521368212[/C][C]0.788449739315894[/C][/ROW]
[ROW][C]240[/C][C]0.181908650443435[/C][C]0.36381730088687[/C][C]0.818091349556565[/C][/ROW]
[ROW][C]241[/C][C]0.249490273855623[/C][C]0.498980547711246[/C][C]0.750509726144377[/C][/ROW]
[ROW][C]242[/C][C]0.244388512669682[/C][C]0.488777025339364[/C][C]0.755611487330318[/C][/ROW]
[ROW][C]243[/C][C]0.267149729766192[/C][C]0.534299459532384[/C][C]0.732850270233808[/C][/ROW]
[ROW][C]244[/C][C]0.229495056043572[/C][C]0.458990112087144[/C][C]0.770504943956428[/C][/ROW]
[ROW][C]245[/C][C]0.356446448963389[/C][C]0.712892897926779[/C][C]0.643553551036611[/C][/ROW]
[ROW][C]246[/C][C]0.316120875983392[/C][C]0.632241751966784[/C][C]0.683879124016608[/C][/ROW]
[ROW][C]247[/C][C]0.29332314063343[/C][C]0.586646281266859[/C][C]0.70667685936657[/C][/ROW]
[ROW][C]248[/C][C]0.277877322298876[/C][C]0.555754644597752[/C][C]0.722122677701124[/C][/ROW]
[ROW][C]249[/C][C]0.243229462684887[/C][C]0.486458925369775[/C][C]0.756770537315113[/C][/ROW]
[ROW][C]250[/C][C]0.233730162897939[/C][C]0.467460325795878[/C][C]0.766269837102061[/C][/ROW]
[ROW][C]251[/C][C]0.229844525227644[/C][C]0.459689050455289[/C][C]0.770155474772356[/C][/ROW]
[ROW][C]252[/C][C]0.199450025828799[/C][C]0.398900051657598[/C][C]0.800549974171201[/C][/ROW]
[ROW][C]253[/C][C]0.182956113507767[/C][C]0.365912227015534[/C][C]0.817043886492233[/C][/ROW]
[ROW][C]254[/C][C]0.149038924335856[/C][C]0.298077848671711[/C][C]0.850961075664144[/C][/ROW]
[ROW][C]255[/C][C]0.120781877722715[/C][C]0.241563755445429[/C][C]0.879218122277285[/C][/ROW]
[ROW][C]256[/C][C]0.114746782237543[/C][C]0.229493564475086[/C][C]0.885253217762457[/C][/ROW]
[ROW][C]257[/C][C]0.0965063355698269[/C][C]0.193012671139654[/C][C]0.903493664430173[/C][/ROW]
[ROW][C]258[/C][C]0.124818906604293[/C][C]0.249637813208586[/C][C]0.875181093395707[/C][/ROW]
[ROW][C]259[/C][C]0.247436727156902[/C][C]0.494873454313803[/C][C]0.752563272843098[/C][/ROW]
[ROW][C]260[/C][C]0.211219128076047[/C][C]0.422438256152094[/C][C]0.788780871923953[/C][/ROW]
[ROW][C]261[/C][C]0.208072161511244[/C][C]0.416144323022488[/C][C]0.791927838488756[/C][/ROW]
[ROW][C]262[/C][C]0.177292280009896[/C][C]0.354584560019792[/C][C]0.822707719990104[/C][/ROW]
[ROW][C]263[/C][C]0.137908996258813[/C][C]0.275817992517627[/C][C]0.862091003741187[/C][/ROW]
[ROW][C]264[/C][C]0.172764067109264[/C][C]0.345528134218529[/C][C]0.827235932890736[/C][/ROW]
[ROW][C]265[/C][C]0.13759728119112[/C][C]0.27519456238224[/C][C]0.86240271880888[/C][/ROW]
[ROW][C]266[/C][C]0.103891388244859[/C][C]0.207782776489717[/C][C]0.896108611755141[/C][/ROW]
[ROW][C]267[/C][C]0.0771638536023707[/C][C]0.154327707204741[/C][C]0.922836146397629[/C][/ROW]
[ROW][C]268[/C][C]0.0784082922729816[/C][C]0.156816584545963[/C][C]0.921591707727018[/C][/ROW]
[ROW][C]269[/C][C]0.0672673762723147[/C][C]0.134534752544629[/C][C]0.932732623727685[/C][/ROW]
[ROW][C]270[/C][C]0.113938399065618[/C][C]0.227876798131237[/C][C]0.886061600934382[/C][/ROW]
[ROW][C]271[/C][C]0.0882370212511098[/C][C]0.17647404250222[/C][C]0.91176297874889[/C][/ROW]
[ROW][C]272[/C][C]0.072601902492092[/C][C]0.145203804984184[/C][C]0.927398097507908[/C][/ROW]
[ROW][C]273[/C][C]0.0474557944569349[/C][C]0.0949115889138699[/C][C]0.952544205543065[/C][/ROW]
[ROW][C]274[/C][C]0.028506181943296[/C][C]0.057012363886592[/C][C]0.971493818056704[/C][/ROW]
[ROW][C]275[/C][C]0.0345473866880084[/C][C]0.0690947733760167[/C][C]0.965452613311992[/C][/ROW]
[ROW][C]276[/C][C]0.145624494538605[/C][C]0.29124898907721[/C][C]0.854375505461395[/C][/ROW]
[ROW][C]277[/C][C]0.142514102885428[/C][C]0.285028205770856[/C][C]0.857485897114572[/C][/ROW]
[ROW][C]278[/C][C]0.243191563451785[/C][C]0.486383126903571[/C][C]0.756808436548215[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155391&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155391&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.1070793098423590.2141586196847180.892920690157641
120.03888741401761930.07777482803523860.961112585982381
130.01836929323355480.03673858646710960.981630706766445
140.006382970329142770.01276594065828550.993617029670857
150.001968839682541950.003937679365083890.998031160317458
160.0007178486206416550.001435697241283310.999282151379358
170.0002070586283043290.0004141172566086580.999792941371696
180.0001251743211446460.0002503486422892920.999874825678855
193.87252562314542e-057.74505124629085e-050.999961274743769
203.36847297852297e-056.73694595704593e-050.999966315270215
213.74738840382829e-057.49477680765658e-050.999962526115962
221.19551048070667e-052.39102096141333e-050.999988044895193
234.29835304067128e-068.59670608134257e-060.999995701646959
244.63510530387516e-069.27021060775033e-060.999995364894696
250.001677985453540960.003355970907081920.998322014546459
260.001167861481183890.002335722962367770.998832138518816
270.08926185235409820.1785237047081960.910738147645902
280.06451884659361510.129037693187230.935481153406385
290.05577482882420360.1115496576484070.944225171175796
300.05236767168851240.1047353433770250.947632328311488
310.03716811895917150.07433623791834290.962831881040829
320.06425261479534530.1285052295906910.935747385204655
330.1081028024355280.2162056048710560.891897197564472
340.08608287799403330.1721657559880670.913917122005967
350.06852569463383030.1370513892676610.93147430536617
360.05730936756477830.1146187351295570.942690632435222
370.04796031265039410.09592062530078830.952039687349606
380.03539094988464860.07078189976929720.964609050115351
390.1356792014020850.271358402804170.864320798597915
400.1121769274122920.2243538548245830.887823072587708
410.09322993451531710.1864598690306340.906770065484683
420.08427442027774390.1685488405554880.915725579722256
430.06583602110634190.1316720422126840.934163978893658
440.05029258336811960.1005851667362390.94970741663188
450.3398813053342760.6797626106685520.660118694665724
460.3423093180941430.6846186361882860.657690681905857
470.3062269778354860.6124539556709730.693773022164514
480.2700744972025540.5401489944051080.729925502797446
490.2665830246261680.5331660492523360.733416975373832
500.2405486869232310.4810973738464610.759451313076769
510.2124502478259410.4249004956518820.787549752174059
520.2038256461622240.4076512923244480.796174353837776
530.1762348429982480.3524696859964970.823765157001752
540.6118893930816880.7762212138366230.388110606918312
550.6431736485214410.7136527029571180.356826351478559
560.6244410305803610.7511179388392780.375558969419639
570.5899290256766230.8201419486467550.410070974323377
580.5716607771786010.8566784456427980.428339222821399
590.611821242576520.7763575148469590.38817875742348
600.8072424655546560.3855150688906880.192757534445344
610.8135052505852460.3729894988295080.186494749414754
620.805208773484260.389582453031480.19479122651574
630.7833568640149210.4332862719701570.216643135985079
640.7586753682364990.4826492635270030.241324631763501
650.7503413428339730.4993173143320530.249658657166027
660.7198921790457850.5602156419084310.280107820954215
670.7067633579524260.5864732840951490.293236642047574
680.6754956172005910.6490087655988180.324504382799409
690.6602217962225970.6795564075548060.339778203777403
700.6322475336502170.7355049326995660.367752466349783
710.5945213532859870.8109572934280260.405478646714013
720.556004354234070.887991291531860.44399564576593
730.517832730983320.9643345380333590.48216726901668
740.4790074365132880.9580148730265770.520992563486712
750.442334533086960.8846690661739210.55766546691304
760.406145107312160.812290214624320.59385489268784
770.3797921688113760.7595843376227520.620207831188624
780.3807522712080040.7615045424160080.619247728791996
790.3470521719468570.6941043438937130.652947828053143
800.3155069425787850.6310138851575690.684493057421215
810.2821825362825940.5643650725651890.717817463717406
820.2649815406980140.5299630813960280.735018459301986
830.2344489177273930.4688978354547850.765551082272607
840.3330873783683960.6661747567367910.666912621631604
850.2995844805595760.5991689611191520.700415519440424
860.309138084264470.6182761685289390.69086191573553
870.277489976155560.554979952311120.72251002384444
880.2734173090320380.5468346180640770.726582690967962
890.245057485720960.4901149714419190.75494251427904
900.216871643547810.4337432870956190.78312835645219
910.2029483574028880.4058967148057760.797051642597112
920.194591486530530.389182973061060.80540851346947
930.1780887760303780.3561775520607550.821911223969622
940.1698196656807840.3396393313615690.830180334319216
950.1588890823957050.3177781647914090.841110917604295
960.1443606742357430.2887213484714850.855639325764257
970.1248573294947590.2497146589895190.875142670505241
980.1300062616926390.2600125233852780.869993738307361
990.1182519229846540.2365038459693070.881748077015346
1000.1072219109328060.2144438218656130.892778089067193
1010.09140201249740930.1828040249948190.908597987502591
1020.0838439648525990.1676879297051980.916156035147401
1030.07370535451641350.1474107090328270.926294645483587
1040.07116334607593990.142326692151880.92883665392406
1050.06126315488448640.1225263097689730.938736845115514
1060.05311609698183530.1062321939636710.946883903018165
1070.07624082099681050.1524816419936210.923759179003189
1080.06436559538785950.1287311907757190.935634404612141
1090.05380370530304550.1076074106060910.946196294696955
1100.04934257770599010.09868515541198030.95065742229401
1110.06027359308128170.1205471861625630.939726406918718
1120.05166251671857930.1033250334371590.948337483281421
1130.04289873242522980.08579746485045960.95710126757477
1140.03785777300304310.07571554600608620.962142226996957
1150.03108215040405730.06216430080811450.968917849595943
1160.02539988925202840.05079977850405680.974600110747972
1170.02069970985150820.04139941970301650.979300290148492
1180.02139061083786350.0427812216757270.978609389162136
1190.0196456487905910.0392912975811820.980354351209409
1200.01592698838723380.03185397677446750.984073011612766
1210.02124946681766640.04249893363533280.978750533182334
1220.02059681800175640.04119363600351270.979403181998244
1230.01667577787867450.03335155575734890.983324222121326
1240.01465349570409070.02930699140818130.985346504295909
1250.01289099547658280.02578199095316550.987109004523417
1260.01426649164611570.02853298329223130.985733508353884
1270.01145836290680910.02291672581361820.988541637093191
1280.00986775636872390.01973551273744780.990132243631276
1290.007826102257044320.01565220451408860.992173897742956
1300.006299745165511370.01259949033102270.993700254834489
1310.005154514083153780.01030902816630760.994845485916846
1320.004106555059490530.008213110118981050.995893444940509
1330.003608118550504320.007216237101008640.996391881449496
1340.003337764826348980.006675529652697960.996662235173651
1350.003033790604929360.006067581209858710.996966209395071
1360.002394574667491110.004789149334982220.997605425332509
1370.00188516741376370.003770334827527390.998114832586236
1380.001432483274552160.002864966549104330.998567516725448
1390.001115556759488720.002231113518977450.998884443240511
1400.0008662463114615610.001732492622923120.999133753688538
1410.02252982912279170.04505965824558350.977470170877208
1420.01873481636185730.03746963272371470.981265183638143
1430.03316767192517890.06633534385035780.966832328074821
1440.1616716661061030.3233433322122050.838328333893897
1450.1630641022646630.3261282045293270.836935897735337
1460.1442090078427650.2884180156855310.855790992157235
1470.1310761346425150.262152269285030.868923865357485
1480.1153573381359510.2307146762719020.884642661864049
1490.1217306438310050.2434612876620090.878269356168995
1500.139180146764590.278360293529180.86081985323541
1510.1214365598348370.2428731196696740.878563440165163
1520.1098975133469860.2197950266939710.890102486653014
1530.1014260103544990.2028520207089990.898573989645501
1540.08876944040054020.177538880801080.91123055959946
1550.07604980615189890.1520996123037980.923950193848101
1560.06502751564181030.1300550312836210.93497248435819
1570.142133111731910.2842662234638190.85786688826809
1580.1619315007083480.3238630014166960.838068499291652
1590.1564369816179580.3128739632359170.843563018382042
1600.1396665118529020.2793330237058030.860333488147098
1610.1223884206818830.2447768413637660.877611579318117
1620.1059947439750310.2119894879500620.894005256024969
1630.09152421682122420.1830484336424480.908475783178776
1640.08624493127318440.1724898625463690.913755068726816
1650.0861340321517690.1722680643035380.913865967848231
1660.07365053958527750.1473010791705550.926349460414723
1670.09371298465561960.1874259693112390.90628701534438
1680.08745704203805720.1749140840761140.912542957961943
1690.07675593428845640.1535118685769130.923244065711544
1700.0654792670468450.130958534093690.934520732953155
1710.05583105918688620.1116621183737720.944168940813114
1720.04723120202656990.09446240405313980.95276879797343
1730.04487575085668160.08975150171336320.955124249143318
1740.03756474692818680.07512949385637360.962435253071813
1750.05456187022412660.1091237404482530.945438129775873
1760.04851861585020180.09703723170040360.951481384149798
1770.04063375814656760.08126751629313510.959366241853432
1780.04011480778411450.08022961556822910.959885192215885
1790.03426253291276020.06852506582552030.96573746708724
1800.04218295972438510.08436591944877020.957817040275615
1810.03538789297923190.07077578595846380.964612107020768
1820.03390583399336630.06781166798673260.966094166006634
1830.07307195922595270.1461439184519050.926928040774047
1840.06307378046981360.1261475609396270.936926219530186
1850.0557174101013210.1114348202026420.944282589898679
1860.06555364181694910.1311072836338980.934446358183051
1870.05719280220755850.1143856044151170.942807197792441
1880.04828963323291140.09657926646582280.951710366767089
1890.04066869487225040.08133738974450070.95933130512775
1900.03451793086524420.06903586173048840.965482069134756
1910.04098342121375790.08196684242751580.959016578786242
1920.03374204911544790.06748409823089570.966257950884552
1930.03511881173624850.07023762347249690.964881188263752
1940.02871115817618160.05742231635236330.971288841823818
1950.08677541857047040.1735508371409410.91322458142953
1960.07497472349891040.1499494469978210.92502527650109
1970.06306305487836420.1261261097567280.936936945121636
1980.05278232244410230.1055646448882050.947217677555898
1990.04502221412896490.09004442825792980.954977785871035
2000.2748935343093630.5497870686187250.725106465690638
2010.2544590456127920.5089180912255830.745540954387208
2020.2362317466971220.4724634933942440.763768253302878
2030.2090478762945650.4180957525891310.790952123705435
2040.1831433756921440.3662867513842880.816856624307856
2050.1664815143023220.3329630286046430.833518485697678
2060.1538210841211810.3076421682423620.846178915878819
2070.1355704168850580.2711408337701160.864429583114942
2080.1208313582383190.2416627164766380.879168641761681
2090.1037097392476410.2074194784952820.896290260752359
2100.1122263029064850.224452605812970.887773697093515
2110.09683631814094030.1936726362818810.90316368185906
2120.1000790212934680.2001580425869350.899920978706532
2130.1404193404789540.2808386809579090.859580659521046
2140.1346253839495860.2692507678991730.865374616050414
2150.114865805010560.2297316100211190.88513419498944
2160.1548089538295050.3096179076590110.845191046170495
2170.1340137231146510.2680274462293020.865986276885349
2180.1150073869041330.2300147738082670.884992613095867
2190.1907916367478210.3815832734956420.809208363252179
2200.165487957631250.3309759152624990.83451204236875
2210.1491808526137670.2983617052275340.850819147386233
2220.1303293493754150.260658698750830.869670650624585
2230.1109384755526450.2218769511052910.889061524447355
2240.0993617962010070.1987235924020140.900638203798993
2250.180085184525460.3601703690509190.81991481547454
2260.2025701558866960.4051403117733920.797429844113304
2270.2847233605249270.5694467210498550.715276639475073
2280.2513866635216380.5027733270432760.748613336478362
2290.2233600172207650.446720034441530.776639982779235
2300.2190205458491380.4380410916982750.780979454150862
2310.1897836709555150.3795673419110310.810216329044485
2320.1682611771500240.3365223543000470.831738822849976
2330.2203228904520330.4406457809040660.779677109547967
2340.1994521205316730.3989042410633470.800547879468327
2350.176969809217450.3539396184348990.82303019078255
2360.1505385560761460.3010771121522910.849461443923854
2370.1257698348913820.2515396697827640.874230165108618
2380.123610323416050.2472206468321010.87638967658395
2390.2115502606841060.4231005213682120.788449739315894
2400.1819086504434350.363817300886870.818091349556565
2410.2494902738556230.4989805477112460.750509726144377
2420.2443885126696820.4887770253393640.755611487330318
2430.2671497297661920.5342994595323840.732850270233808
2440.2294950560435720.4589901120871440.770504943956428
2450.3564464489633890.7128928979267790.643553551036611
2460.3161208759833920.6322417519667840.683879124016608
2470.293323140633430.5866462812668590.70667685936657
2480.2778773222988760.5557546445977520.722122677701124
2490.2432294626848870.4864589253697750.756770537315113
2500.2337301628979390.4674603257958780.766269837102061
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2560.1147467822375430.2294935644750860.885253217762457
2570.09650633556982690.1930126711396540.903493664430173
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2700.1139383990656180.2278767981312370.886061600934382
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2740.0285061819432960.0570123638865920.971493818056704
2750.03454738668800840.06909477337601670.965452613311992
2760.1456244945386050.291248989077210.854375505461395
2770.1425141028854280.2850282057708560.857485897114572
2780.2431915634517850.4863831269035710.756808436548215






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level210.0783582089552239NOK
5% type I error level400.149253731343284NOK
10% type I error level710.264925373134328NOK

\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 & 21 & 0.0783582089552239 & NOK \tabularnewline
5% type I error level & 40 & 0.149253731343284 & NOK \tabularnewline
10% type I error level & 71 & 0.264925373134328 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155391&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]21[/C][C]0.0783582089552239[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]40[/C][C]0.149253731343284[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]71[/C][C]0.264925373134328[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155391&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155391&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level210.0783582089552239NOK
5% type I error level400.149253731343284NOK
10% type I error level710.264925373134328NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 2 ; 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')
}