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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 computationMon, 17 Dec 2012 10:20:09 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/17/t13557576288xa626sn3t6d2k3.htm/, Retrieved Tue, 23 Apr 2024 23:48:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=201003, Retrieved Tue, 23 Apr 2024 23:48:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [multiple regressi...] [2012-12-17 15:20:09] [239167cccea8953a8e1721fd6db07280] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
30	210907	79	112285	81
28	120982	58	84786	55
38	176508	60	83123	50
30	179321	108	101193	125
22	123185	49	38361	40
26	52746	0	68504	37
25	385534	121	119182	63
18	33170	1	22807	44
11	101645	20	17140	88
26	149061	43	116174	66
25	165446	69	57635	57
38	237213	78	66198	74
44	173326	86	71701	49
30	133131	44	57793	52
40	258873	104	80444	88
34	180083	63	53855	36
47	324799	158	97668	108
30	230964	102	133824	43
31	236785	77	101481	75
23	135473	82	99645	32
36	202925	115	114789	44
36	215147	101	99052	85
30	344297	80	67654	86
25	153935	50	65553	56
39	132943	83	97500	50
34	174724	123	69112	135
31	174415	73	82753	63
31	225548	81	85323	81
33	223632	105	72654	52
25	124817	47	30727	44
33	221698	105	77873	113
35	210767	94	117478	39
42	170266	44	74007	73
43	260561	114	90183	48
30	84853	38	61542	33
33	294424	107	101494	59
13	101011	30	27570	41
32	215641	71	55813	69
36	325107	84	79215	64
0	7176	0	1423	1
28	167542	59	55461	59
14	106408	33	31081	32
17	96560	42	22996	129
32	265769	96	83122	37
30	269651	106	70106	31
35	149112	56	60578	65
20	175824	57	39992	107
28	152871	59	79892	74
28	111665	39	49810	54
39	116408	34	71570	76
34	362301	76	100708	715
26	78800	20	33032	57
39	183167	91	82875	66
39	277965	115	139077	106
33	150629	85	71595	54
28	168809	76	72260	32
4	24188	8	5950	20
39	329267	79	115762	71
18	65029	21	32551	21
14	101097	30	31701	70
29	218946	76	80670	112
44	244052	101	143558	66
21	341570	94	117105	190
16	103597	27	23789	66
28	233328	92	120733	165
35	256462	123	105195	56
28	206161	75	73107	61
38	311473	128	132068	53
23	235800	105	149193	127
36	177939	55	46821	63
32	207176	56	87011	38
29	196553	41	95260	50
25	174184	72	55183	52
27	143246	67	106671	42
36	187559	75	73511	76
28	187681	114	92945	67
23	119016	118	78664	50
40	182192	77	70054	53
23	73566	22	22618	39
40	194979	66	74011	50
28	167488	69	83737	77
34	143756	105	69094	57
33	275541	116	93133	73
28	243199	88	95536	34
34	182999	73	225920	39
30	135649	99	62133	46
33	152299	62	61370	63
22	120221	53	43836	35
38	346485	118	106117	106
26	145790	30	38692	43
35	193339	100	84651	47
8	80953	49	56622	31
24	122774	24	15986	162
29	130585	67	95364	57
20	112611	46	26706	36
29	286468	57	89691	263
45	241066	75	67267	78
37	148446	135	126846	63
33	204713	68	41140	54
33	182079	124	102860	63
25	140344	33	51715	77
32	220516	98	55801	79
29	243060	58	111813	110
28	162765	68	120293	56
28	182613	81	138599	56
31	232138	131	161647	43
52	265318	110	115929	111
21	85574	37	24266	71
24	310839	130	162901	62
41	225060	93	109825	56
33	232317	118	129838	74
32	144966	39	37510	60
19	43287	13	43750	43
20	155754	74	40652	68
31	164709	81	87771	53
31	201940	109	85872	87
32	235454	151	89275	46
18	220801	51	44418	105
23	99466	28	192565	32
17	92661	40	35232	133
20	133328	56	40909	79
12	61361	27	13294	51
17	125930	37	32387	207
30	100750	83	140867	67
31	224549	54	120662	47
10	82316	27	21233	34
13	102010	28	44332	66
22	101523	59	61056	76
42	243511	133	101338	65
1	22938	12	1168	9
9	41566	0	13497	42
32	152474	106	65567	45
11	61857	23	25162	25
25	99923	44	32334	115
36	132487	71	40735	97
31	317394	116	91413	53
0	21054	4	855	2
24	209641	62	97068	52
13	22648	12	44339	44
8	31414	18	14116	22
13	46698	14	10288	35
19	131698	60	65622	74
18	91735	7	16563	103
33	244749	98	76643	144
40	184510	64	110681	60
22	79863	29	29011	134
38	128423	32	92696	89
24	97839	25	94785	42
8	38214	16	8773	52
35	151101	48	83209	98
43	272458	100	93815	99
43	172494	46	86687	52
14	108043	45	34553	29
41	328107	129	105547	125
38	250579	130	103487	106
45	351067	136	213688	95
31	158015	59	71220	40
13	98866	25	23517	140
28	85439	32	56926	43
31	229242	63	91721	128
40	351619	95	115168	142
30	84207	14	111194	73
16	120445	36	51009	72
37	324598	113	135777	128
30	131069	47	51513	61
35	204271	92	74163	73
32	165543	70	51633	148
27	141722	19	75345	64
20	116048	50	33416	45
18	250047	41	83305	58
31	299775	91	98952	97
31	195838	111	102372	50
21	173260	41	37238	37
39	254488	120	103772	50
41	104389	135	123969	105
13	136084	27	27142	69
32	199476	87	135400	46
18	92499	25	21399	57
39	224330	131	130115	52
14	135781	45	24874	98
7	74408	29	34988	61
17	81240	58	45549	89
0	14688	4	6023	0
30	181633	47	64466	48
37	271856	109	54990	91
0	7199	7	1644	0
5	46660	12	6179	7
1	17547	0	3926	3
16	133368	37	32755	54
32	95227	37	34777	70
24	152601	46	73224	36
17	98146	15	27114	37
11	79619	42	20760	123
24	59194	7	37636	247
22	139942	54	65461	46
12	118612	54	30080	72
19	72880	14	24094	41
13	65475	16	69008	24
17	99643	33	54968	45
15	71965	32	46090	33
16	77272	21	27507	27
24	49289	15	10672	36
15	135131	38	34029	87
17	108446	22	46300	90
18	89746	28	24760	114
20	44296	10	18779	31
16	77648	31	21280	45
16	181528	32	40662	69
18	134019	32	28987	51
22	124064	43	22827	34
8	92630	27	18513	60
17	121848	37	30594	45
18	52915	20	24006	54
16	81872	32	27913	25
23	58981	0	42744	38
22	53515	5	12934	52
13	60812	26	22574	67
13	56375	10	41385	74
16	65490	27	18653	38
16	80949	11	18472	30
20	76302	29	30976	26
22	104011	25	63339	67
17	98104	55	25568	132
18	67989	23	33747	42
17	30989	5	4154	35
12	135458	43	19474	118
7	73504	23	35130	68
17	63123	34	39067	43
14	61254	36	13310	76
23	74914	35	65892	64
17	31774	0	4143	48
14	81437	37	28579	64
15	87186	28	51776	56
17	50090	16	21152	71
21	65745	26	38084	75
18	56653	38	27717	39
18	158399	23	32928	42
17	46455	22	11342	39
17	73624	30	19499	93
16	38395	16	16380	38
15	91899	18	36874	60
21	139526	28	48259	71
16	52164	32	16734	52
14	51567	21	28207	27
15	70551	23	30143	59
17	84856	29	41369	40
15	102538	50	45833	79
15	86678	12	29156	44
10	85709	21	35944	65
6	34662	18	36278	10
22	150580	27	45588	124
21	99611	41	45097	81
1	19349	13	3895	15
18	99373	12	28394	92
17	86230	21	18632	42
4	30837	8	2325	10
10	31706	26	25139	24
16	89806	27	27975	64
16	62088	13	14483	45
9	40151	16	13127	22
16	27634	2	5839	56
17	76990	42	24069	94
7	37460	5	3738	19
15	54157	37	18625	35
14	49862	17	36341	32
14	84337	38	24548	35
18	64175	37	21792	48
12	59382	29	26263	49
16	119308	32	23686	48
21	76702	35	49303	62
19	103425	17	25659	96
16	70344	20	28904	45
1	43410	7	2781	63
16	104838	46	29236	71
10	62215	24	19546	26
19	69304	40	22818	48
12	53117	3	32689	29
2	19764	10	5752	19
14	86680	37	22197	45
17	84105	17	20055	45
19	77945	28	25272	67
14	89113	19	82206	30
11	91005	29	32073	36
4	40248	8	5444	34
16	64187	10	20154	36
20	50857	15	36944	34
12	56613	15	8019	37
15	62792	28	30884	46
16	72535	17	19540	44

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time20 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 20 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201003&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]20 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201003&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201003&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 time20 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
compendiums_reviewed[t] = + 9.06274102056788 + 3.59778724394914e-05time_in_rfc[t] + 0.087346635518484blogged_computations[t] + 7.58552414599292e-05totsize[t] + 0.00498990924472956compendium_views_pr[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
compendiums_reviewed[t] =  +  9.06274102056788 +  3.59778724394914e-05time_in_rfc[t] +  0.087346635518484blogged_computations[t] +  7.58552414599292e-05totsize[t] +  0.00498990924472956compendium_views_pr[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201003&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]compendiums_reviewed[t] =  +  9.06274102056788 +  3.59778724394914e-05time_in_rfc[t] +  0.087346635518484blogged_computations[t] +  7.58552414599292e-05totsize[t] +  0.00498990924472956compendium_views_pr[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201003&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201003&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
compendiums_reviewed[t] = + 9.06274102056788 + 3.59778724394914e-05time_in_rfc[t] + 0.087346635518484blogged_computations[t] + 7.58552414599292e-05totsize[t] + 0.00498990924472956compendium_views_pr[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)9.062741020567880.76078411.912400
time_in_rfc3.59778724394914e-059e-063.97498.9e-054.5e-05
blogged_computations0.0873466355184840.019424.49771e-055e-06
totsize7.58552414599292e-051.5e-055.160500
compendium_views_pr0.004989909244729560.0076880.64910.5168250.258412

\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) & 9.06274102056788 & 0.760784 & 11.9124 & 0 & 0 \tabularnewline
time_in_rfc & 3.59778724394914e-05 & 9e-06 & 3.9749 & 8.9e-05 & 4.5e-05 \tabularnewline
blogged_computations & 0.087346635518484 & 0.01942 & 4.4977 & 1e-05 & 5e-06 \tabularnewline
totsize & 7.58552414599292e-05 & 1.5e-05 & 5.1605 & 0 & 0 \tabularnewline
compendium_views_pr & 0.00498990924472956 & 0.007688 & 0.6491 & 0.516825 & 0.258412 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201003&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]9.06274102056788[/C][C]0.760784[/C][C]11.9124[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]3.59778724394914e-05[/C][C]9e-06[/C][C]3.9749[/C][C]8.9e-05[/C][C]4.5e-05[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.087346635518484[/C][C]0.01942[/C][C]4.4977[/C][C]1e-05[/C][C]5e-06[/C][/ROW]
[ROW][C]totsize[/C][C]7.58552414599292e-05[/C][C]1.5e-05[/C][C]5.1605[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]0.00498990924472956[/C][C]0.007688[/C][C]0.6491[/C][C]0.516825[/C][C]0.258412[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201003&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201003&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)9.062741020567880.76078411.912400
time_in_rfc3.59778724394914e-059e-063.97498.9e-054.5e-05
blogged_computations0.0873466355184840.019424.49771e-055e-06
totsize7.58552414599292e-051.5e-055.160500
compendium_views_pr0.004989909244729560.0076880.64910.5168250.258412






Multiple Linear Regression - Regression Statistics
Multiple R0.8141915369378
R-squared0.662907858821137
Adjusted R-squared0.658160082184815
F-TEST (value)139.624904370959
F-TEST (DF numerator)4
F-TEST (DF denominator)284
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.19474500832802
Sum Squared Residuals10898.4618639702

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.8141915369378 \tabularnewline
R-squared & 0.662907858821137 \tabularnewline
Adjusted R-squared & 0.658160082184815 \tabularnewline
F-TEST (value) & 139.624904370959 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 284 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 6.19474500832802 \tabularnewline
Sum Squared Residuals & 10898.4618639702 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201003&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.8141915369378[/C][/ROW]
[ROW][C]R-squared[/C][C]0.662907858821137[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.658160082184815[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]139.624904370959[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]284[/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]6.19474500832802[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]10898.4618639702[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201003&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201003&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 R0.8141915369378
R-squared0.662907858821137
Adjusted R-squared0.658160082184815
F-TEST (value)139.624904370959
F-TEST (DF numerator)4
F-TEST (DF denominator)284
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.19474500832802
Sum Squared Residuals10898.4618639702






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
13032.4726988052752-2.47269880527516
22825.18742835499622.81257164500382
33827.208732158336810.7912678416632
43033.247523824932-3.247523824932
52220.88413966486591.11586033513413
62616.34144398328739.65855601671272
72542.8573206614866-17.8573206614866
81812.2930601836495.706939816351
91116.205915427209-5.20591542720905
102627.3232848230837-1.32328482308368
112525.69839562346-0.698395623459971
123829.80091620427318.19908379572692
134428.493854614514915.5061453854851
143022.33914036954277.66085963045727
154034.00170194405745.99829805594259
163425.3094030223888.69059697761195
174742.49662634430194.50337365569813
183036.6475091042249-6.64750910422487
193132.3795614330259-1.37956143302591
202328.8174680771848-5.81746807718478
213635.33531718868920.664682811310756
223633.56303819256492.43696180743506
233033.998588110123-3.99858811012295
242524.22030015159280.779699848407221
253928.740899568904910.2591004310951
263432.00872016927621.99127983072378
273128.30573911390262.69426088609742
283131.1289350864561-0.128935086456118
293332.05060331315270.949396686847331
302520.2090430053244.79095699467603
313332.68129507696260.318704923037433
323533.96220151653371.03779848346633
334225.009883641753916.9901163582461
344335.47505677470927.52494322529082
353020.26769385538159.73230614461853
363336.9948366583436-3.99483665834358
371317.613216245192-4.61321624519202
383227.6006688625944.39933113740603
393634.42474372321721.57525627678276
4009.43385015103588-9.43385015103588
412824.74540941246393.25459058753612
421418.2908472988667-4.29084729886666
431718.5933885002841-1.59338850028414
443233.4996872334008-1.49968723340076
453033.4955484110849-3.49554841108488
463524.238388042867410.7616119571326
472023.9347957945741-3.93479579457415
482826.14564608868261.85435391131743
492820.5345336080797.46546639192097
503922.028831537019216.9711684629808
513439.942919249601-5.94291924960101
522616.43480524202359.56519475797655
533930.2170809600188.78291903998197
543940.1868432143007-1.18684321430067
553327.60682709886625.3931729011338
562827.41545083233660.584549167663406
57411.1828837548633-7.18288375486334
583936.94488936932222.05511063067775
591815.81057749222522.1894225077748
601418.0743757127899-4.07437571278994
612930.2564087430917-1.25640874309174
624437.88418369619426.11581630380581
632139.3933974561261-18.3933974561261
641617.2821541799233-1.28215417992334
652835.4748424013921-7.47484240139206
663537.2923613540004-2.29236135400036
672828.8809064457917-0.880906445791709
683841.7317614483801-3.73176144838013
692338.6685095844526-15.6685095844526
703624.134655160908511.8653448390915
713228.19776127609673.80223872390333
722927.19097760213441.80902239786559
732526.0638635811083-1.0638635811083
742728.3697825658244-1.36978256582444
753628.3171402188937.68285978110695
762833.1573098838812-5.15730988388124
772329.8681586544478-6.86815865444785
784027.921740766191512.0782592338085
792315.54141547774337.45858452225672
804027.706166293094712.2938337069053
812827.85163413646310.148365863536924
823428.93173966080225.06826033919784
833336.5372192683148-3.53721926831476
842832.9155908080429-4.91559080804294
853439.3547827031434-5.35478270314336
863027.53306989832972.4669301016703
873324.92722686818988.0727731318102
882221.51724569379860.482754306201384
893840.4138981818908-2.4138981818908
902620.07791120916685.9220887908332
913531.40907823132193.59092176867814
92820.7050055370985-12.7050055370985
932417.59719477152226.40280522847777
942927.13142014635161.86857985364844
952019.33761725894080.66238274105916
962932.4638870002641-3.46388700026407
974529.778547930326615.2214520696734
983736.13160630836010.868393691639896
993325.75759016940737.24240983059273
1003334.5613732797563-1.56137327975633
1012521.30153534627023.69846465372976
1023230.18340897928531.81659102071466
1032931.904119686062-2.90411968606204
1042830.2625401220827-2.26254012208273
1052833.5007412461675-5.50074124616751
1063141.3333199396445-10.3333199396445
1075237.564150300875214.4358496991248
1082117.56832383653133.43167616346874
1092444.267398591427-20.267398591427
1104133.89339490606047.1066050939396
1113337.9460615280586-4.94606152805859
1123220.829552723697811.1704472763022
1131915.28885435799173.71114564200829
1142024.5530706973469-4.55307069734689
1153128.98605347735142.01394652264862
1163132.796859251452-1.79685925145204
1173237.7247294678197-5.72472946781971
1181825.3546482303864-7.35464823038644
1192329.8537635427145-6.8537635427145
1201719.2265418760882-2.22654187608821
1212022.2483752894334-2.24837528943337
1221214.8916433617761-2.89164336177608
1231720.3148949298787-3.31489492987868
1243030.9571066350135-0.95710663501354
1253131.2456254965216-0.245625496521633
1261016.1629459835356-6.1629459835356
1271318.8706981571917-5.87069815719168
1282222.8794247850098-0.879424785009804
1294237.4522138001134.54778619988703
130111.0696691900345-10.0696691900345
131911.7915916486511-2.79159164865108
1323229.00532104068222.9946789593178
1331115.3306142097156-4.33061420971561
1342519.52755287166175.47244712833828
1353623.604936985880112.3950630141199
1363137.8127319633191-6.81273196331912
137010.2444417389206-10.2444417389206
1382429.6432614375596-5.64326143755965
1391314.5086290596592-1.50862905965919
140812.9457399365472-4.94573993654718
1411312.92073415271130.0792658472886896
1421924.3887789354065-5.38877893540652
1431814.7449486139423.25505138605804
1443332.96057980552680.0394201944732026
1454029.986331472271610.0136685277284
1462217.33837852602684.66162147397322
1473823.953799054606714.0462009453933
1482422.16596122019541.83403877980459
149812.7600989203202-4.76009892032024
1503525.49252192155749.50747807844255
1514335.21022423432677.78977576567329
1524326.121791980158616.8782080198414
1531419.6462304171417-5.64623041714172
1544140.76508062091890.234919379081144
1553837.81206468889110.187935311108862
1564550.2559234101353-5.25592341013529
1573125.503242696255.49675730374999
1581317.285870252808-4.28587025280803
1592819.46444837338848.53555162661163
1603130.40944547727780.590554522722196
1614039.45583848533410.5441615146659
1623022.11409371609957.88590628390047
1631620.7691482224579-4.7691482224579
1643741.5493617753008-4.54936177530078
1653022.09553216996227.90446783003784
1663530.43778311661374.56221688338626
1673225.7880306946336.21196930536702
1682721.85585049274975.14414950725027
1692020.364557601988-0.364557601987999
1701828.2486477727169-10.2486477727169
1713135.7866006129801-4.78660061298013
1723133.8190003868971-2.81900038689707
1732121.8868033792318-0.886803379231836
1743936.82141966318352.17858033681651
1754134.53786984089196.46213015910814
1761318.7202796742144-5.72027967421443
1773234.3389559123479-2.33895591234795
1781816.48197527026111.5180247297389
1793938.7054464211250.294553578874987
1801420.254285498664-6.25428549866401
181717.2312426352101-10.2312426352101
1821720.9509205536635-3.95092055366348
183010.3974466723462-10.3974466723462
1843024.83240143444165.16759856555842
1853732.98968625114494.0103137488551
186010.0578781898493-10.0578781898493
187512.2932670765104-7.29326707651037
188110.0068221539695-9.00682215396951
1891619.8469569594972-3.84695695949725
1903218.707942772930313.2920572270697
1912424.3050065000291-0.305006500029088
1921716.1453904807910.854609519209027
1931117.7843355879139-6.78433558791394
1942415.89123710141468.10876289858538
1952224.0093705499593-2.0093705499593
1961220.6878658730942-8.68786587309417
1971914.93990372798624.06009627201377
1981318.1703147113796-5.17031471137963
1991719.9242799647483-2.92427996474831
2001518.1078160312316-3.10781603123158
2011615.89838020204640.101619797953609
2022413.135417777685910.8645822223141
2031520.2590391668226-5.25903916682258
2041718.847212868168-1.84721286816799
2051817.1843423874870.815657612512959
2062013.10905597929516.89094402070494
2071616.4028420151026-0.402842015102633
2081621.8175541514853-5.81755415148534
2091819.1328530993077-1.13285309930774
2102219.18340962532242.81659037467764
211816.4574331434685-8.45743314346848
2121719.2236595089968-2.22365950899684
2131814.80387887677573.1961211232243
2141617.0455088155146-1.04550881551465
2152314.61672490718458.38327509281554
2162212.66541701552839.33458298447166
2171315.5683200629521-2.56832006295214
2181315.4729823864582-2.4729823864582
2191615.3818354158810.618164584118979
2201614.48682210496531.51317789503471
2212016.82040667330773.17959332669228
2222220.12742045706131.87257954293875
2231719.9945140058401-2.99451400584013
2241816.28727622860851.71272377139154
2251711.10414198377785.89585801622222
2261219.7581512558401-7.75815125584006
227716.7203396344143-9.72033963441431
2281717.4815606858328-0.481560685832776
2291415.799874864073-1.79987486407301
2302320.13272736158722.86727263841277
2311710.75968584857586.24031415142422
2321417.7117176699527-3.71171766995266
2331518.8521295011291-3.85212950112908
2341714.2211924430942.77880755690603
2352116.96223297669754.03776702330251
2361816.71725376567411.28274623432591
2371819.4779102331072-1.47791023310719
2381713.71067567533413.28932432466593
2391716.27513787959450.724862120405479
2401613.27378300759132.72621699240874
2411517.0377916874946-2.03779168749461
2422120.54327709906840.456722900931573
2431615.26341998640940.736580013590611
2441415.0266676600112-1.02666766001122
2451516.1908977047373-1.19089770473726
2461717.9863836480744-0.98638364807439
2471520.9900479928592-5.99004799285922
2481515.6605821008737-0.660582100873717
2491017.0315327353155-7.03153273531553
250614.6838210165289-8.68382101652885
2512220.91548570552731.08451429447272
2522120.05277140133740.947228598662579
253111.2646879402973-10.2646879402973
2541816.29903514124761.70096485875239
2551715.62230335407341.37769664592657
256411.097226285974-7.09722628597398
2571014.5011507045496-4.50115070454965
2581617.0935335633721-1.09353356337212
2591613.75519880440832.2448011955917
260913.0103645032102-4.01036450321018
2611610.95400049118715.04599950881287
2621717.7960473871643-0.796047387164263
263711.2255604679707-4.22556046797072
2641515.830470868214-0.830470868214039
2651415.2578949256867-1.25789492568666
2661417.4529202891235-3.45292028912353
2671816.49599956419791.50400043580206
2681215.9689232312597-3.96892323125966
2691618.1865042551371-2.18650425513711
2702118.92871337844082.07128662155919
2711916.69404620955092.30595379044914
2721615.75756700499180.242432995008235
273111.7612846207136-10.7612846207136
2741619.4245218409278-3.42452184092783
2751015.0098277967732-5.0098277967732
2761917.02039745623341.97960254376657
2771213.8601569336726-1.86015693367258
278211.1784016711742-9.1784016711742
2791417.3214332285058-3.32143322850578
2801715.31937556939721.68062443060276
2811916.56407966395382.4359203360462
2821420.3138764989163-6.3138764989163
2831117.4825016241144-6.4825016241144
284411.7921643634891-7.79216436348906
2851613.953942343222.04605765677997
2862015.17472016681684.82527983318322
2871213.2026656690842-1.20266566908423
2881516.339818483812-1.33981848381199
2891614.85905622667571.14094377332427

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 30 & 32.4726988052752 & -2.47269880527516 \tabularnewline
2 & 28 & 25.1874283549962 & 2.81257164500382 \tabularnewline
3 & 38 & 27.2087321583368 & 10.7912678416632 \tabularnewline
4 & 30 & 33.247523824932 & -3.247523824932 \tabularnewline
5 & 22 & 20.8841396648659 & 1.11586033513413 \tabularnewline
6 & 26 & 16.3414439832873 & 9.65855601671272 \tabularnewline
7 & 25 & 42.8573206614866 & -17.8573206614866 \tabularnewline
8 & 18 & 12.293060183649 & 5.706939816351 \tabularnewline
9 & 11 & 16.205915427209 & -5.20591542720905 \tabularnewline
10 & 26 & 27.3232848230837 & -1.32328482308368 \tabularnewline
11 & 25 & 25.69839562346 & -0.698395623459971 \tabularnewline
12 & 38 & 29.8009162042731 & 8.19908379572692 \tabularnewline
13 & 44 & 28.4938546145149 & 15.5061453854851 \tabularnewline
14 & 30 & 22.3391403695427 & 7.66085963045727 \tabularnewline
15 & 40 & 34.0017019440574 & 5.99829805594259 \tabularnewline
16 & 34 & 25.309403022388 & 8.69059697761195 \tabularnewline
17 & 47 & 42.4966263443019 & 4.50337365569813 \tabularnewline
18 & 30 & 36.6475091042249 & -6.64750910422487 \tabularnewline
19 & 31 & 32.3795614330259 & -1.37956143302591 \tabularnewline
20 & 23 & 28.8174680771848 & -5.81746807718478 \tabularnewline
21 & 36 & 35.3353171886892 & 0.664682811310756 \tabularnewline
22 & 36 & 33.5630381925649 & 2.43696180743506 \tabularnewline
23 & 30 & 33.998588110123 & -3.99858811012295 \tabularnewline
24 & 25 & 24.2203001515928 & 0.779699848407221 \tabularnewline
25 & 39 & 28.7408995689049 & 10.2591004310951 \tabularnewline
26 & 34 & 32.0087201692762 & 1.99127983072378 \tabularnewline
27 & 31 & 28.3057391139026 & 2.69426088609742 \tabularnewline
28 & 31 & 31.1289350864561 & -0.128935086456118 \tabularnewline
29 & 33 & 32.0506033131527 & 0.949396686847331 \tabularnewline
30 & 25 & 20.209043005324 & 4.79095699467603 \tabularnewline
31 & 33 & 32.6812950769626 & 0.318704923037433 \tabularnewline
32 & 35 & 33.9622015165337 & 1.03779848346633 \tabularnewline
33 & 42 & 25.0098836417539 & 16.9901163582461 \tabularnewline
34 & 43 & 35.4750567747092 & 7.52494322529082 \tabularnewline
35 & 30 & 20.2676938553815 & 9.73230614461853 \tabularnewline
36 & 33 & 36.9948366583436 & -3.99483665834358 \tabularnewline
37 & 13 & 17.613216245192 & -4.61321624519202 \tabularnewline
38 & 32 & 27.600668862594 & 4.39933113740603 \tabularnewline
39 & 36 & 34.4247437232172 & 1.57525627678276 \tabularnewline
40 & 0 & 9.43385015103588 & -9.43385015103588 \tabularnewline
41 & 28 & 24.7454094124639 & 3.25459058753612 \tabularnewline
42 & 14 & 18.2908472988667 & -4.29084729886666 \tabularnewline
43 & 17 & 18.5933885002841 & -1.59338850028414 \tabularnewline
44 & 32 & 33.4996872334008 & -1.49968723340076 \tabularnewline
45 & 30 & 33.4955484110849 & -3.49554841108488 \tabularnewline
46 & 35 & 24.2383880428674 & 10.7616119571326 \tabularnewline
47 & 20 & 23.9347957945741 & -3.93479579457415 \tabularnewline
48 & 28 & 26.1456460886826 & 1.85435391131743 \tabularnewline
49 & 28 & 20.534533608079 & 7.46546639192097 \tabularnewline
50 & 39 & 22.0288315370192 & 16.9711684629808 \tabularnewline
51 & 34 & 39.942919249601 & -5.94291924960101 \tabularnewline
52 & 26 & 16.4348052420235 & 9.56519475797655 \tabularnewline
53 & 39 & 30.217080960018 & 8.78291903998197 \tabularnewline
54 & 39 & 40.1868432143007 & -1.18684321430067 \tabularnewline
55 & 33 & 27.6068270988662 & 5.3931729011338 \tabularnewline
56 & 28 & 27.4154508323366 & 0.584549167663406 \tabularnewline
57 & 4 & 11.1828837548633 & -7.18288375486334 \tabularnewline
58 & 39 & 36.9448893693222 & 2.05511063067775 \tabularnewline
59 & 18 & 15.8105774922252 & 2.1894225077748 \tabularnewline
60 & 14 & 18.0743757127899 & -4.07437571278994 \tabularnewline
61 & 29 & 30.2564087430917 & -1.25640874309174 \tabularnewline
62 & 44 & 37.8841836961942 & 6.11581630380581 \tabularnewline
63 & 21 & 39.3933974561261 & -18.3933974561261 \tabularnewline
64 & 16 & 17.2821541799233 & -1.28215417992334 \tabularnewline
65 & 28 & 35.4748424013921 & -7.47484240139206 \tabularnewline
66 & 35 & 37.2923613540004 & -2.29236135400036 \tabularnewline
67 & 28 & 28.8809064457917 & -0.880906445791709 \tabularnewline
68 & 38 & 41.7317614483801 & -3.73176144838013 \tabularnewline
69 & 23 & 38.6685095844526 & -15.6685095844526 \tabularnewline
70 & 36 & 24.1346551609085 & 11.8653448390915 \tabularnewline
71 & 32 & 28.1977612760967 & 3.80223872390333 \tabularnewline
72 & 29 & 27.1909776021344 & 1.80902239786559 \tabularnewline
73 & 25 & 26.0638635811083 & -1.0638635811083 \tabularnewline
74 & 27 & 28.3697825658244 & -1.36978256582444 \tabularnewline
75 & 36 & 28.317140218893 & 7.68285978110695 \tabularnewline
76 & 28 & 33.1573098838812 & -5.15730988388124 \tabularnewline
77 & 23 & 29.8681586544478 & -6.86815865444785 \tabularnewline
78 & 40 & 27.9217407661915 & 12.0782592338085 \tabularnewline
79 & 23 & 15.5414154777433 & 7.45858452225672 \tabularnewline
80 & 40 & 27.7061662930947 & 12.2938337069053 \tabularnewline
81 & 28 & 27.8516341364631 & 0.148365863536924 \tabularnewline
82 & 34 & 28.9317396608022 & 5.06826033919784 \tabularnewline
83 & 33 & 36.5372192683148 & -3.53721926831476 \tabularnewline
84 & 28 & 32.9155908080429 & -4.91559080804294 \tabularnewline
85 & 34 & 39.3547827031434 & -5.35478270314336 \tabularnewline
86 & 30 & 27.5330698983297 & 2.4669301016703 \tabularnewline
87 & 33 & 24.9272268681898 & 8.0727731318102 \tabularnewline
88 & 22 & 21.5172456937986 & 0.482754306201384 \tabularnewline
89 & 38 & 40.4138981818908 & -2.4138981818908 \tabularnewline
90 & 26 & 20.0779112091668 & 5.9220887908332 \tabularnewline
91 & 35 & 31.4090782313219 & 3.59092176867814 \tabularnewline
92 & 8 & 20.7050055370985 & -12.7050055370985 \tabularnewline
93 & 24 & 17.5971947715222 & 6.40280522847777 \tabularnewline
94 & 29 & 27.1314201463516 & 1.86857985364844 \tabularnewline
95 & 20 & 19.3376172589408 & 0.66238274105916 \tabularnewline
96 & 29 & 32.4638870002641 & -3.46388700026407 \tabularnewline
97 & 45 & 29.7785479303266 & 15.2214520696734 \tabularnewline
98 & 37 & 36.1316063083601 & 0.868393691639896 \tabularnewline
99 & 33 & 25.7575901694073 & 7.24240983059273 \tabularnewline
100 & 33 & 34.5613732797563 & -1.56137327975633 \tabularnewline
101 & 25 & 21.3015353462702 & 3.69846465372976 \tabularnewline
102 & 32 & 30.1834089792853 & 1.81659102071466 \tabularnewline
103 & 29 & 31.904119686062 & -2.90411968606204 \tabularnewline
104 & 28 & 30.2625401220827 & -2.26254012208273 \tabularnewline
105 & 28 & 33.5007412461675 & -5.50074124616751 \tabularnewline
106 & 31 & 41.3333199396445 & -10.3333199396445 \tabularnewline
107 & 52 & 37.5641503008752 & 14.4358496991248 \tabularnewline
108 & 21 & 17.5683238365313 & 3.43167616346874 \tabularnewline
109 & 24 & 44.267398591427 & -20.267398591427 \tabularnewline
110 & 41 & 33.8933949060604 & 7.1066050939396 \tabularnewline
111 & 33 & 37.9460615280586 & -4.94606152805859 \tabularnewline
112 & 32 & 20.8295527236978 & 11.1704472763022 \tabularnewline
113 & 19 & 15.2888543579917 & 3.71114564200829 \tabularnewline
114 & 20 & 24.5530706973469 & -4.55307069734689 \tabularnewline
115 & 31 & 28.9860534773514 & 2.01394652264862 \tabularnewline
116 & 31 & 32.796859251452 & -1.79685925145204 \tabularnewline
117 & 32 & 37.7247294678197 & -5.72472946781971 \tabularnewline
118 & 18 & 25.3546482303864 & -7.35464823038644 \tabularnewline
119 & 23 & 29.8537635427145 & -6.8537635427145 \tabularnewline
120 & 17 & 19.2265418760882 & -2.22654187608821 \tabularnewline
121 & 20 & 22.2483752894334 & -2.24837528943337 \tabularnewline
122 & 12 & 14.8916433617761 & -2.89164336177608 \tabularnewline
123 & 17 & 20.3148949298787 & -3.31489492987868 \tabularnewline
124 & 30 & 30.9571066350135 & -0.95710663501354 \tabularnewline
125 & 31 & 31.2456254965216 & -0.245625496521633 \tabularnewline
126 & 10 & 16.1629459835356 & -6.1629459835356 \tabularnewline
127 & 13 & 18.8706981571917 & -5.87069815719168 \tabularnewline
128 & 22 & 22.8794247850098 & -0.879424785009804 \tabularnewline
129 & 42 & 37.452213800113 & 4.54778619988703 \tabularnewline
130 & 1 & 11.0696691900345 & -10.0696691900345 \tabularnewline
131 & 9 & 11.7915916486511 & -2.79159164865108 \tabularnewline
132 & 32 & 29.0053210406822 & 2.9946789593178 \tabularnewline
133 & 11 & 15.3306142097156 & -4.33061420971561 \tabularnewline
134 & 25 & 19.5275528716617 & 5.47244712833828 \tabularnewline
135 & 36 & 23.6049369858801 & 12.3950630141199 \tabularnewline
136 & 31 & 37.8127319633191 & -6.81273196331912 \tabularnewline
137 & 0 & 10.2444417389206 & -10.2444417389206 \tabularnewline
138 & 24 & 29.6432614375596 & -5.64326143755965 \tabularnewline
139 & 13 & 14.5086290596592 & -1.50862905965919 \tabularnewline
140 & 8 & 12.9457399365472 & -4.94573993654718 \tabularnewline
141 & 13 & 12.9207341527113 & 0.0792658472886896 \tabularnewline
142 & 19 & 24.3887789354065 & -5.38877893540652 \tabularnewline
143 & 18 & 14.744948613942 & 3.25505138605804 \tabularnewline
144 & 33 & 32.9605798055268 & 0.0394201944732026 \tabularnewline
145 & 40 & 29.9863314722716 & 10.0136685277284 \tabularnewline
146 & 22 & 17.3383785260268 & 4.66162147397322 \tabularnewline
147 & 38 & 23.9537990546067 & 14.0462009453933 \tabularnewline
148 & 24 & 22.1659612201954 & 1.83403877980459 \tabularnewline
149 & 8 & 12.7600989203202 & -4.76009892032024 \tabularnewline
150 & 35 & 25.4925219215574 & 9.50747807844255 \tabularnewline
151 & 43 & 35.2102242343267 & 7.78977576567329 \tabularnewline
152 & 43 & 26.1217919801586 & 16.8782080198414 \tabularnewline
153 & 14 & 19.6462304171417 & -5.64623041714172 \tabularnewline
154 & 41 & 40.7650806209189 & 0.234919379081144 \tabularnewline
155 & 38 & 37.8120646888911 & 0.187935311108862 \tabularnewline
156 & 45 & 50.2559234101353 & -5.25592341013529 \tabularnewline
157 & 31 & 25.50324269625 & 5.49675730374999 \tabularnewline
158 & 13 & 17.285870252808 & -4.28587025280803 \tabularnewline
159 & 28 & 19.4644483733884 & 8.53555162661163 \tabularnewline
160 & 31 & 30.4094454772778 & 0.590554522722196 \tabularnewline
161 & 40 & 39.4558384853341 & 0.5441615146659 \tabularnewline
162 & 30 & 22.1140937160995 & 7.88590628390047 \tabularnewline
163 & 16 & 20.7691482224579 & -4.7691482224579 \tabularnewline
164 & 37 & 41.5493617753008 & -4.54936177530078 \tabularnewline
165 & 30 & 22.0955321699622 & 7.90446783003784 \tabularnewline
166 & 35 & 30.4377831166137 & 4.56221688338626 \tabularnewline
167 & 32 & 25.788030694633 & 6.21196930536702 \tabularnewline
168 & 27 & 21.8558504927497 & 5.14414950725027 \tabularnewline
169 & 20 & 20.364557601988 & -0.364557601987999 \tabularnewline
170 & 18 & 28.2486477727169 & -10.2486477727169 \tabularnewline
171 & 31 & 35.7866006129801 & -4.78660061298013 \tabularnewline
172 & 31 & 33.8190003868971 & -2.81900038689707 \tabularnewline
173 & 21 & 21.8868033792318 & -0.886803379231836 \tabularnewline
174 & 39 & 36.8214196631835 & 2.17858033681651 \tabularnewline
175 & 41 & 34.5378698408919 & 6.46213015910814 \tabularnewline
176 & 13 & 18.7202796742144 & -5.72027967421443 \tabularnewline
177 & 32 & 34.3389559123479 & -2.33895591234795 \tabularnewline
178 & 18 & 16.4819752702611 & 1.5180247297389 \tabularnewline
179 & 39 & 38.705446421125 & 0.294553578874987 \tabularnewline
180 & 14 & 20.254285498664 & -6.25428549866401 \tabularnewline
181 & 7 & 17.2312426352101 & -10.2312426352101 \tabularnewline
182 & 17 & 20.9509205536635 & -3.95092055366348 \tabularnewline
183 & 0 & 10.3974466723462 & -10.3974466723462 \tabularnewline
184 & 30 & 24.8324014344416 & 5.16759856555842 \tabularnewline
185 & 37 & 32.9896862511449 & 4.0103137488551 \tabularnewline
186 & 0 & 10.0578781898493 & -10.0578781898493 \tabularnewline
187 & 5 & 12.2932670765104 & -7.29326707651037 \tabularnewline
188 & 1 & 10.0068221539695 & -9.00682215396951 \tabularnewline
189 & 16 & 19.8469569594972 & -3.84695695949725 \tabularnewline
190 & 32 & 18.7079427729303 & 13.2920572270697 \tabularnewline
191 & 24 & 24.3050065000291 & -0.305006500029088 \tabularnewline
192 & 17 & 16.145390480791 & 0.854609519209027 \tabularnewline
193 & 11 & 17.7843355879139 & -6.78433558791394 \tabularnewline
194 & 24 & 15.8912371014146 & 8.10876289858538 \tabularnewline
195 & 22 & 24.0093705499593 & -2.0093705499593 \tabularnewline
196 & 12 & 20.6878658730942 & -8.68786587309417 \tabularnewline
197 & 19 & 14.9399037279862 & 4.06009627201377 \tabularnewline
198 & 13 & 18.1703147113796 & -5.17031471137963 \tabularnewline
199 & 17 & 19.9242799647483 & -2.92427996474831 \tabularnewline
200 & 15 & 18.1078160312316 & -3.10781603123158 \tabularnewline
201 & 16 & 15.8983802020464 & 0.101619797953609 \tabularnewline
202 & 24 & 13.1354177776859 & 10.8645822223141 \tabularnewline
203 & 15 & 20.2590391668226 & -5.25903916682258 \tabularnewline
204 & 17 & 18.847212868168 & -1.84721286816799 \tabularnewline
205 & 18 & 17.184342387487 & 0.815657612512959 \tabularnewline
206 & 20 & 13.1090559792951 & 6.89094402070494 \tabularnewline
207 & 16 & 16.4028420151026 & -0.402842015102633 \tabularnewline
208 & 16 & 21.8175541514853 & -5.81755415148534 \tabularnewline
209 & 18 & 19.1328530993077 & -1.13285309930774 \tabularnewline
210 & 22 & 19.1834096253224 & 2.81659037467764 \tabularnewline
211 & 8 & 16.4574331434685 & -8.45743314346848 \tabularnewline
212 & 17 & 19.2236595089968 & -2.22365950899684 \tabularnewline
213 & 18 & 14.8038788767757 & 3.1961211232243 \tabularnewline
214 & 16 & 17.0455088155146 & -1.04550881551465 \tabularnewline
215 & 23 & 14.6167249071845 & 8.38327509281554 \tabularnewline
216 & 22 & 12.6654170155283 & 9.33458298447166 \tabularnewline
217 & 13 & 15.5683200629521 & -2.56832006295214 \tabularnewline
218 & 13 & 15.4729823864582 & -2.4729823864582 \tabularnewline
219 & 16 & 15.381835415881 & 0.618164584118979 \tabularnewline
220 & 16 & 14.4868221049653 & 1.51317789503471 \tabularnewline
221 & 20 & 16.8204066733077 & 3.17959332669228 \tabularnewline
222 & 22 & 20.1274204570613 & 1.87257954293875 \tabularnewline
223 & 17 & 19.9945140058401 & -2.99451400584013 \tabularnewline
224 & 18 & 16.2872762286085 & 1.71272377139154 \tabularnewline
225 & 17 & 11.1041419837778 & 5.89585801622222 \tabularnewline
226 & 12 & 19.7581512558401 & -7.75815125584006 \tabularnewline
227 & 7 & 16.7203396344143 & -9.72033963441431 \tabularnewline
228 & 17 & 17.4815606858328 & -0.481560685832776 \tabularnewline
229 & 14 & 15.799874864073 & -1.79987486407301 \tabularnewline
230 & 23 & 20.1327273615872 & 2.86727263841277 \tabularnewline
231 & 17 & 10.7596858485758 & 6.24031415142422 \tabularnewline
232 & 14 & 17.7117176699527 & -3.71171766995266 \tabularnewline
233 & 15 & 18.8521295011291 & -3.85212950112908 \tabularnewline
234 & 17 & 14.221192443094 & 2.77880755690603 \tabularnewline
235 & 21 & 16.9622329766975 & 4.03776702330251 \tabularnewline
236 & 18 & 16.7172537656741 & 1.28274623432591 \tabularnewline
237 & 18 & 19.4779102331072 & -1.47791023310719 \tabularnewline
238 & 17 & 13.7106756753341 & 3.28932432466593 \tabularnewline
239 & 17 & 16.2751378795945 & 0.724862120405479 \tabularnewline
240 & 16 & 13.2737830075913 & 2.72621699240874 \tabularnewline
241 & 15 & 17.0377916874946 & -2.03779168749461 \tabularnewline
242 & 21 & 20.5432770990684 & 0.456722900931573 \tabularnewline
243 & 16 & 15.2634199864094 & 0.736580013590611 \tabularnewline
244 & 14 & 15.0266676600112 & -1.02666766001122 \tabularnewline
245 & 15 & 16.1908977047373 & -1.19089770473726 \tabularnewline
246 & 17 & 17.9863836480744 & -0.98638364807439 \tabularnewline
247 & 15 & 20.9900479928592 & -5.99004799285922 \tabularnewline
248 & 15 & 15.6605821008737 & -0.660582100873717 \tabularnewline
249 & 10 & 17.0315327353155 & -7.03153273531553 \tabularnewline
250 & 6 & 14.6838210165289 & -8.68382101652885 \tabularnewline
251 & 22 & 20.9154857055273 & 1.08451429447272 \tabularnewline
252 & 21 & 20.0527714013374 & 0.947228598662579 \tabularnewline
253 & 1 & 11.2646879402973 & -10.2646879402973 \tabularnewline
254 & 18 & 16.2990351412476 & 1.70096485875239 \tabularnewline
255 & 17 & 15.6223033540734 & 1.37769664592657 \tabularnewline
256 & 4 & 11.097226285974 & -7.09722628597398 \tabularnewline
257 & 10 & 14.5011507045496 & -4.50115070454965 \tabularnewline
258 & 16 & 17.0935335633721 & -1.09353356337212 \tabularnewline
259 & 16 & 13.7551988044083 & 2.2448011955917 \tabularnewline
260 & 9 & 13.0103645032102 & -4.01036450321018 \tabularnewline
261 & 16 & 10.9540004911871 & 5.04599950881287 \tabularnewline
262 & 17 & 17.7960473871643 & -0.796047387164263 \tabularnewline
263 & 7 & 11.2255604679707 & -4.22556046797072 \tabularnewline
264 & 15 & 15.830470868214 & -0.830470868214039 \tabularnewline
265 & 14 & 15.2578949256867 & -1.25789492568666 \tabularnewline
266 & 14 & 17.4529202891235 & -3.45292028912353 \tabularnewline
267 & 18 & 16.4959995641979 & 1.50400043580206 \tabularnewline
268 & 12 & 15.9689232312597 & -3.96892323125966 \tabularnewline
269 & 16 & 18.1865042551371 & -2.18650425513711 \tabularnewline
270 & 21 & 18.9287133784408 & 2.07128662155919 \tabularnewline
271 & 19 & 16.6940462095509 & 2.30595379044914 \tabularnewline
272 & 16 & 15.7575670049918 & 0.242432995008235 \tabularnewline
273 & 1 & 11.7612846207136 & -10.7612846207136 \tabularnewline
274 & 16 & 19.4245218409278 & -3.42452184092783 \tabularnewline
275 & 10 & 15.0098277967732 & -5.0098277967732 \tabularnewline
276 & 19 & 17.0203974562334 & 1.97960254376657 \tabularnewline
277 & 12 & 13.8601569336726 & -1.86015693367258 \tabularnewline
278 & 2 & 11.1784016711742 & -9.1784016711742 \tabularnewline
279 & 14 & 17.3214332285058 & -3.32143322850578 \tabularnewline
280 & 17 & 15.3193755693972 & 1.68062443060276 \tabularnewline
281 & 19 & 16.5640796639538 & 2.4359203360462 \tabularnewline
282 & 14 & 20.3138764989163 & -6.3138764989163 \tabularnewline
283 & 11 & 17.4825016241144 & -6.4825016241144 \tabularnewline
284 & 4 & 11.7921643634891 & -7.79216436348906 \tabularnewline
285 & 16 & 13.95394234322 & 2.04605765677997 \tabularnewline
286 & 20 & 15.1747201668168 & 4.82527983318322 \tabularnewline
287 & 12 & 13.2026656690842 & -1.20266566908423 \tabularnewline
288 & 15 & 16.339818483812 & -1.33981848381199 \tabularnewline
289 & 16 & 14.8590562266757 & 1.14094377332427 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201003&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]30[/C][C]32.4726988052752[/C][C]-2.47269880527516[/C][/ROW]
[ROW][C]2[/C][C]28[/C][C]25.1874283549962[/C][C]2.81257164500382[/C][/ROW]
[ROW][C]3[/C][C]38[/C][C]27.2087321583368[/C][C]10.7912678416632[/C][/ROW]
[ROW][C]4[/C][C]30[/C][C]33.247523824932[/C][C]-3.247523824932[/C][/ROW]
[ROW][C]5[/C][C]22[/C][C]20.8841396648659[/C][C]1.11586033513413[/C][/ROW]
[ROW][C]6[/C][C]26[/C][C]16.3414439832873[/C][C]9.65855601671272[/C][/ROW]
[ROW][C]7[/C][C]25[/C][C]42.8573206614866[/C][C]-17.8573206614866[/C][/ROW]
[ROW][C]8[/C][C]18[/C][C]12.293060183649[/C][C]5.706939816351[/C][/ROW]
[ROW][C]9[/C][C]11[/C][C]16.205915427209[/C][C]-5.20591542720905[/C][/ROW]
[ROW][C]10[/C][C]26[/C][C]27.3232848230837[/C][C]-1.32328482308368[/C][/ROW]
[ROW][C]11[/C][C]25[/C][C]25.69839562346[/C][C]-0.698395623459971[/C][/ROW]
[ROW][C]12[/C][C]38[/C][C]29.8009162042731[/C][C]8.19908379572692[/C][/ROW]
[ROW][C]13[/C][C]44[/C][C]28.4938546145149[/C][C]15.5061453854851[/C][/ROW]
[ROW][C]14[/C][C]30[/C][C]22.3391403695427[/C][C]7.66085963045727[/C][/ROW]
[ROW][C]15[/C][C]40[/C][C]34.0017019440574[/C][C]5.99829805594259[/C][/ROW]
[ROW][C]16[/C][C]34[/C][C]25.309403022388[/C][C]8.69059697761195[/C][/ROW]
[ROW][C]17[/C][C]47[/C][C]42.4966263443019[/C][C]4.50337365569813[/C][/ROW]
[ROW][C]18[/C][C]30[/C][C]36.6475091042249[/C][C]-6.64750910422487[/C][/ROW]
[ROW][C]19[/C][C]31[/C][C]32.3795614330259[/C][C]-1.37956143302591[/C][/ROW]
[ROW][C]20[/C][C]23[/C][C]28.8174680771848[/C][C]-5.81746807718478[/C][/ROW]
[ROW][C]21[/C][C]36[/C][C]35.3353171886892[/C][C]0.664682811310756[/C][/ROW]
[ROW][C]22[/C][C]36[/C][C]33.5630381925649[/C][C]2.43696180743506[/C][/ROW]
[ROW][C]23[/C][C]30[/C][C]33.998588110123[/C][C]-3.99858811012295[/C][/ROW]
[ROW][C]24[/C][C]25[/C][C]24.2203001515928[/C][C]0.779699848407221[/C][/ROW]
[ROW][C]25[/C][C]39[/C][C]28.7408995689049[/C][C]10.2591004310951[/C][/ROW]
[ROW][C]26[/C][C]34[/C][C]32.0087201692762[/C][C]1.99127983072378[/C][/ROW]
[ROW][C]27[/C][C]31[/C][C]28.3057391139026[/C][C]2.69426088609742[/C][/ROW]
[ROW][C]28[/C][C]31[/C][C]31.1289350864561[/C][C]-0.128935086456118[/C][/ROW]
[ROW][C]29[/C][C]33[/C][C]32.0506033131527[/C][C]0.949396686847331[/C][/ROW]
[ROW][C]30[/C][C]25[/C][C]20.209043005324[/C][C]4.79095699467603[/C][/ROW]
[ROW][C]31[/C][C]33[/C][C]32.6812950769626[/C][C]0.318704923037433[/C][/ROW]
[ROW][C]32[/C][C]35[/C][C]33.9622015165337[/C][C]1.03779848346633[/C][/ROW]
[ROW][C]33[/C][C]42[/C][C]25.0098836417539[/C][C]16.9901163582461[/C][/ROW]
[ROW][C]34[/C][C]43[/C][C]35.4750567747092[/C][C]7.52494322529082[/C][/ROW]
[ROW][C]35[/C][C]30[/C][C]20.2676938553815[/C][C]9.73230614461853[/C][/ROW]
[ROW][C]36[/C][C]33[/C][C]36.9948366583436[/C][C]-3.99483665834358[/C][/ROW]
[ROW][C]37[/C][C]13[/C][C]17.613216245192[/C][C]-4.61321624519202[/C][/ROW]
[ROW][C]38[/C][C]32[/C][C]27.600668862594[/C][C]4.39933113740603[/C][/ROW]
[ROW][C]39[/C][C]36[/C][C]34.4247437232172[/C][C]1.57525627678276[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]9.43385015103588[/C][C]-9.43385015103588[/C][/ROW]
[ROW][C]41[/C][C]28[/C][C]24.7454094124639[/C][C]3.25459058753612[/C][/ROW]
[ROW][C]42[/C][C]14[/C][C]18.2908472988667[/C][C]-4.29084729886666[/C][/ROW]
[ROW][C]43[/C][C]17[/C][C]18.5933885002841[/C][C]-1.59338850028414[/C][/ROW]
[ROW][C]44[/C][C]32[/C][C]33.4996872334008[/C][C]-1.49968723340076[/C][/ROW]
[ROW][C]45[/C][C]30[/C][C]33.4955484110849[/C][C]-3.49554841108488[/C][/ROW]
[ROW][C]46[/C][C]35[/C][C]24.2383880428674[/C][C]10.7616119571326[/C][/ROW]
[ROW][C]47[/C][C]20[/C][C]23.9347957945741[/C][C]-3.93479579457415[/C][/ROW]
[ROW][C]48[/C][C]28[/C][C]26.1456460886826[/C][C]1.85435391131743[/C][/ROW]
[ROW][C]49[/C][C]28[/C][C]20.534533608079[/C][C]7.46546639192097[/C][/ROW]
[ROW][C]50[/C][C]39[/C][C]22.0288315370192[/C][C]16.9711684629808[/C][/ROW]
[ROW][C]51[/C][C]34[/C][C]39.942919249601[/C][C]-5.94291924960101[/C][/ROW]
[ROW][C]52[/C][C]26[/C][C]16.4348052420235[/C][C]9.56519475797655[/C][/ROW]
[ROW][C]53[/C][C]39[/C][C]30.217080960018[/C][C]8.78291903998197[/C][/ROW]
[ROW][C]54[/C][C]39[/C][C]40.1868432143007[/C][C]-1.18684321430067[/C][/ROW]
[ROW][C]55[/C][C]33[/C][C]27.6068270988662[/C][C]5.3931729011338[/C][/ROW]
[ROW][C]56[/C][C]28[/C][C]27.4154508323366[/C][C]0.584549167663406[/C][/ROW]
[ROW][C]57[/C][C]4[/C][C]11.1828837548633[/C][C]-7.18288375486334[/C][/ROW]
[ROW][C]58[/C][C]39[/C][C]36.9448893693222[/C][C]2.05511063067775[/C][/ROW]
[ROW][C]59[/C][C]18[/C][C]15.8105774922252[/C][C]2.1894225077748[/C][/ROW]
[ROW][C]60[/C][C]14[/C][C]18.0743757127899[/C][C]-4.07437571278994[/C][/ROW]
[ROW][C]61[/C][C]29[/C][C]30.2564087430917[/C][C]-1.25640874309174[/C][/ROW]
[ROW][C]62[/C][C]44[/C][C]37.8841836961942[/C][C]6.11581630380581[/C][/ROW]
[ROW][C]63[/C][C]21[/C][C]39.3933974561261[/C][C]-18.3933974561261[/C][/ROW]
[ROW][C]64[/C][C]16[/C][C]17.2821541799233[/C][C]-1.28215417992334[/C][/ROW]
[ROW][C]65[/C][C]28[/C][C]35.4748424013921[/C][C]-7.47484240139206[/C][/ROW]
[ROW][C]66[/C][C]35[/C][C]37.2923613540004[/C][C]-2.29236135400036[/C][/ROW]
[ROW][C]67[/C][C]28[/C][C]28.8809064457917[/C][C]-0.880906445791709[/C][/ROW]
[ROW][C]68[/C][C]38[/C][C]41.7317614483801[/C][C]-3.73176144838013[/C][/ROW]
[ROW][C]69[/C][C]23[/C][C]38.6685095844526[/C][C]-15.6685095844526[/C][/ROW]
[ROW][C]70[/C][C]36[/C][C]24.1346551609085[/C][C]11.8653448390915[/C][/ROW]
[ROW][C]71[/C][C]32[/C][C]28.1977612760967[/C][C]3.80223872390333[/C][/ROW]
[ROW][C]72[/C][C]29[/C][C]27.1909776021344[/C][C]1.80902239786559[/C][/ROW]
[ROW][C]73[/C][C]25[/C][C]26.0638635811083[/C][C]-1.0638635811083[/C][/ROW]
[ROW][C]74[/C][C]27[/C][C]28.3697825658244[/C][C]-1.36978256582444[/C][/ROW]
[ROW][C]75[/C][C]36[/C][C]28.317140218893[/C][C]7.68285978110695[/C][/ROW]
[ROW][C]76[/C][C]28[/C][C]33.1573098838812[/C][C]-5.15730988388124[/C][/ROW]
[ROW][C]77[/C][C]23[/C][C]29.8681586544478[/C][C]-6.86815865444785[/C][/ROW]
[ROW][C]78[/C][C]40[/C][C]27.9217407661915[/C][C]12.0782592338085[/C][/ROW]
[ROW][C]79[/C][C]23[/C][C]15.5414154777433[/C][C]7.45858452225672[/C][/ROW]
[ROW][C]80[/C][C]40[/C][C]27.7061662930947[/C][C]12.2938337069053[/C][/ROW]
[ROW][C]81[/C][C]28[/C][C]27.8516341364631[/C][C]0.148365863536924[/C][/ROW]
[ROW][C]82[/C][C]34[/C][C]28.9317396608022[/C][C]5.06826033919784[/C][/ROW]
[ROW][C]83[/C][C]33[/C][C]36.5372192683148[/C][C]-3.53721926831476[/C][/ROW]
[ROW][C]84[/C][C]28[/C][C]32.9155908080429[/C][C]-4.91559080804294[/C][/ROW]
[ROW][C]85[/C][C]34[/C][C]39.3547827031434[/C][C]-5.35478270314336[/C][/ROW]
[ROW][C]86[/C][C]30[/C][C]27.5330698983297[/C][C]2.4669301016703[/C][/ROW]
[ROW][C]87[/C][C]33[/C][C]24.9272268681898[/C][C]8.0727731318102[/C][/ROW]
[ROW][C]88[/C][C]22[/C][C]21.5172456937986[/C][C]0.482754306201384[/C][/ROW]
[ROW][C]89[/C][C]38[/C][C]40.4138981818908[/C][C]-2.4138981818908[/C][/ROW]
[ROW][C]90[/C][C]26[/C][C]20.0779112091668[/C][C]5.9220887908332[/C][/ROW]
[ROW][C]91[/C][C]35[/C][C]31.4090782313219[/C][C]3.59092176867814[/C][/ROW]
[ROW][C]92[/C][C]8[/C][C]20.7050055370985[/C][C]-12.7050055370985[/C][/ROW]
[ROW][C]93[/C][C]24[/C][C]17.5971947715222[/C][C]6.40280522847777[/C][/ROW]
[ROW][C]94[/C][C]29[/C][C]27.1314201463516[/C][C]1.86857985364844[/C][/ROW]
[ROW][C]95[/C][C]20[/C][C]19.3376172589408[/C][C]0.66238274105916[/C][/ROW]
[ROW][C]96[/C][C]29[/C][C]32.4638870002641[/C][C]-3.46388700026407[/C][/ROW]
[ROW][C]97[/C][C]45[/C][C]29.7785479303266[/C][C]15.2214520696734[/C][/ROW]
[ROW][C]98[/C][C]37[/C][C]36.1316063083601[/C][C]0.868393691639896[/C][/ROW]
[ROW][C]99[/C][C]33[/C][C]25.7575901694073[/C][C]7.24240983059273[/C][/ROW]
[ROW][C]100[/C][C]33[/C][C]34.5613732797563[/C][C]-1.56137327975633[/C][/ROW]
[ROW][C]101[/C][C]25[/C][C]21.3015353462702[/C][C]3.69846465372976[/C][/ROW]
[ROW][C]102[/C][C]32[/C][C]30.1834089792853[/C][C]1.81659102071466[/C][/ROW]
[ROW][C]103[/C][C]29[/C][C]31.904119686062[/C][C]-2.90411968606204[/C][/ROW]
[ROW][C]104[/C][C]28[/C][C]30.2625401220827[/C][C]-2.26254012208273[/C][/ROW]
[ROW][C]105[/C][C]28[/C][C]33.5007412461675[/C][C]-5.50074124616751[/C][/ROW]
[ROW][C]106[/C][C]31[/C][C]41.3333199396445[/C][C]-10.3333199396445[/C][/ROW]
[ROW][C]107[/C][C]52[/C][C]37.5641503008752[/C][C]14.4358496991248[/C][/ROW]
[ROW][C]108[/C][C]21[/C][C]17.5683238365313[/C][C]3.43167616346874[/C][/ROW]
[ROW][C]109[/C][C]24[/C][C]44.267398591427[/C][C]-20.267398591427[/C][/ROW]
[ROW][C]110[/C][C]41[/C][C]33.8933949060604[/C][C]7.1066050939396[/C][/ROW]
[ROW][C]111[/C][C]33[/C][C]37.9460615280586[/C][C]-4.94606152805859[/C][/ROW]
[ROW][C]112[/C][C]32[/C][C]20.8295527236978[/C][C]11.1704472763022[/C][/ROW]
[ROW][C]113[/C][C]19[/C][C]15.2888543579917[/C][C]3.71114564200829[/C][/ROW]
[ROW][C]114[/C][C]20[/C][C]24.5530706973469[/C][C]-4.55307069734689[/C][/ROW]
[ROW][C]115[/C][C]31[/C][C]28.9860534773514[/C][C]2.01394652264862[/C][/ROW]
[ROW][C]116[/C][C]31[/C][C]32.796859251452[/C][C]-1.79685925145204[/C][/ROW]
[ROW][C]117[/C][C]32[/C][C]37.7247294678197[/C][C]-5.72472946781971[/C][/ROW]
[ROW][C]118[/C][C]18[/C][C]25.3546482303864[/C][C]-7.35464823038644[/C][/ROW]
[ROW][C]119[/C][C]23[/C][C]29.8537635427145[/C][C]-6.8537635427145[/C][/ROW]
[ROW][C]120[/C][C]17[/C][C]19.2265418760882[/C][C]-2.22654187608821[/C][/ROW]
[ROW][C]121[/C][C]20[/C][C]22.2483752894334[/C][C]-2.24837528943337[/C][/ROW]
[ROW][C]122[/C][C]12[/C][C]14.8916433617761[/C][C]-2.89164336177608[/C][/ROW]
[ROW][C]123[/C][C]17[/C][C]20.3148949298787[/C][C]-3.31489492987868[/C][/ROW]
[ROW][C]124[/C][C]30[/C][C]30.9571066350135[/C][C]-0.95710663501354[/C][/ROW]
[ROW][C]125[/C][C]31[/C][C]31.2456254965216[/C][C]-0.245625496521633[/C][/ROW]
[ROW][C]126[/C][C]10[/C][C]16.1629459835356[/C][C]-6.1629459835356[/C][/ROW]
[ROW][C]127[/C][C]13[/C][C]18.8706981571917[/C][C]-5.87069815719168[/C][/ROW]
[ROW][C]128[/C][C]22[/C][C]22.8794247850098[/C][C]-0.879424785009804[/C][/ROW]
[ROW][C]129[/C][C]42[/C][C]37.452213800113[/C][C]4.54778619988703[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]11.0696691900345[/C][C]-10.0696691900345[/C][/ROW]
[ROW][C]131[/C][C]9[/C][C]11.7915916486511[/C][C]-2.79159164865108[/C][/ROW]
[ROW][C]132[/C][C]32[/C][C]29.0053210406822[/C][C]2.9946789593178[/C][/ROW]
[ROW][C]133[/C][C]11[/C][C]15.3306142097156[/C][C]-4.33061420971561[/C][/ROW]
[ROW][C]134[/C][C]25[/C][C]19.5275528716617[/C][C]5.47244712833828[/C][/ROW]
[ROW][C]135[/C][C]36[/C][C]23.6049369858801[/C][C]12.3950630141199[/C][/ROW]
[ROW][C]136[/C][C]31[/C][C]37.8127319633191[/C][C]-6.81273196331912[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]10.2444417389206[/C][C]-10.2444417389206[/C][/ROW]
[ROW][C]138[/C][C]24[/C][C]29.6432614375596[/C][C]-5.64326143755965[/C][/ROW]
[ROW][C]139[/C][C]13[/C][C]14.5086290596592[/C][C]-1.50862905965919[/C][/ROW]
[ROW][C]140[/C][C]8[/C][C]12.9457399365472[/C][C]-4.94573993654718[/C][/ROW]
[ROW][C]141[/C][C]13[/C][C]12.9207341527113[/C][C]0.0792658472886896[/C][/ROW]
[ROW][C]142[/C][C]19[/C][C]24.3887789354065[/C][C]-5.38877893540652[/C][/ROW]
[ROW][C]143[/C][C]18[/C][C]14.744948613942[/C][C]3.25505138605804[/C][/ROW]
[ROW][C]144[/C][C]33[/C][C]32.9605798055268[/C][C]0.0394201944732026[/C][/ROW]
[ROW][C]145[/C][C]40[/C][C]29.9863314722716[/C][C]10.0136685277284[/C][/ROW]
[ROW][C]146[/C][C]22[/C][C]17.3383785260268[/C][C]4.66162147397322[/C][/ROW]
[ROW][C]147[/C][C]38[/C][C]23.9537990546067[/C][C]14.0462009453933[/C][/ROW]
[ROW][C]148[/C][C]24[/C][C]22.1659612201954[/C][C]1.83403877980459[/C][/ROW]
[ROW][C]149[/C][C]8[/C][C]12.7600989203202[/C][C]-4.76009892032024[/C][/ROW]
[ROW][C]150[/C][C]35[/C][C]25.4925219215574[/C][C]9.50747807844255[/C][/ROW]
[ROW][C]151[/C][C]43[/C][C]35.2102242343267[/C][C]7.78977576567329[/C][/ROW]
[ROW][C]152[/C][C]43[/C][C]26.1217919801586[/C][C]16.8782080198414[/C][/ROW]
[ROW][C]153[/C][C]14[/C][C]19.6462304171417[/C][C]-5.64623041714172[/C][/ROW]
[ROW][C]154[/C][C]41[/C][C]40.7650806209189[/C][C]0.234919379081144[/C][/ROW]
[ROW][C]155[/C][C]38[/C][C]37.8120646888911[/C][C]0.187935311108862[/C][/ROW]
[ROW][C]156[/C][C]45[/C][C]50.2559234101353[/C][C]-5.25592341013529[/C][/ROW]
[ROW][C]157[/C][C]31[/C][C]25.50324269625[/C][C]5.49675730374999[/C][/ROW]
[ROW][C]158[/C][C]13[/C][C]17.285870252808[/C][C]-4.28587025280803[/C][/ROW]
[ROW][C]159[/C][C]28[/C][C]19.4644483733884[/C][C]8.53555162661163[/C][/ROW]
[ROW][C]160[/C][C]31[/C][C]30.4094454772778[/C][C]0.590554522722196[/C][/ROW]
[ROW][C]161[/C][C]40[/C][C]39.4558384853341[/C][C]0.5441615146659[/C][/ROW]
[ROW][C]162[/C][C]30[/C][C]22.1140937160995[/C][C]7.88590628390047[/C][/ROW]
[ROW][C]163[/C][C]16[/C][C]20.7691482224579[/C][C]-4.7691482224579[/C][/ROW]
[ROW][C]164[/C][C]37[/C][C]41.5493617753008[/C][C]-4.54936177530078[/C][/ROW]
[ROW][C]165[/C][C]30[/C][C]22.0955321699622[/C][C]7.90446783003784[/C][/ROW]
[ROW][C]166[/C][C]35[/C][C]30.4377831166137[/C][C]4.56221688338626[/C][/ROW]
[ROW][C]167[/C][C]32[/C][C]25.788030694633[/C][C]6.21196930536702[/C][/ROW]
[ROW][C]168[/C][C]27[/C][C]21.8558504927497[/C][C]5.14414950725027[/C][/ROW]
[ROW][C]169[/C][C]20[/C][C]20.364557601988[/C][C]-0.364557601987999[/C][/ROW]
[ROW][C]170[/C][C]18[/C][C]28.2486477727169[/C][C]-10.2486477727169[/C][/ROW]
[ROW][C]171[/C][C]31[/C][C]35.7866006129801[/C][C]-4.78660061298013[/C][/ROW]
[ROW][C]172[/C][C]31[/C][C]33.8190003868971[/C][C]-2.81900038689707[/C][/ROW]
[ROW][C]173[/C][C]21[/C][C]21.8868033792318[/C][C]-0.886803379231836[/C][/ROW]
[ROW][C]174[/C][C]39[/C][C]36.8214196631835[/C][C]2.17858033681651[/C][/ROW]
[ROW][C]175[/C][C]41[/C][C]34.5378698408919[/C][C]6.46213015910814[/C][/ROW]
[ROW][C]176[/C][C]13[/C][C]18.7202796742144[/C][C]-5.72027967421443[/C][/ROW]
[ROW][C]177[/C][C]32[/C][C]34.3389559123479[/C][C]-2.33895591234795[/C][/ROW]
[ROW][C]178[/C][C]18[/C][C]16.4819752702611[/C][C]1.5180247297389[/C][/ROW]
[ROW][C]179[/C][C]39[/C][C]38.705446421125[/C][C]0.294553578874987[/C][/ROW]
[ROW][C]180[/C][C]14[/C][C]20.254285498664[/C][C]-6.25428549866401[/C][/ROW]
[ROW][C]181[/C][C]7[/C][C]17.2312426352101[/C][C]-10.2312426352101[/C][/ROW]
[ROW][C]182[/C][C]17[/C][C]20.9509205536635[/C][C]-3.95092055366348[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]10.3974466723462[/C][C]-10.3974466723462[/C][/ROW]
[ROW][C]184[/C][C]30[/C][C]24.8324014344416[/C][C]5.16759856555842[/C][/ROW]
[ROW][C]185[/C][C]37[/C][C]32.9896862511449[/C][C]4.0103137488551[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]10.0578781898493[/C][C]-10.0578781898493[/C][/ROW]
[ROW][C]187[/C][C]5[/C][C]12.2932670765104[/C][C]-7.29326707651037[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]10.0068221539695[/C][C]-9.00682215396951[/C][/ROW]
[ROW][C]189[/C][C]16[/C][C]19.8469569594972[/C][C]-3.84695695949725[/C][/ROW]
[ROW][C]190[/C][C]32[/C][C]18.7079427729303[/C][C]13.2920572270697[/C][/ROW]
[ROW][C]191[/C][C]24[/C][C]24.3050065000291[/C][C]-0.305006500029088[/C][/ROW]
[ROW][C]192[/C][C]17[/C][C]16.145390480791[/C][C]0.854609519209027[/C][/ROW]
[ROW][C]193[/C][C]11[/C][C]17.7843355879139[/C][C]-6.78433558791394[/C][/ROW]
[ROW][C]194[/C][C]24[/C][C]15.8912371014146[/C][C]8.10876289858538[/C][/ROW]
[ROW][C]195[/C][C]22[/C][C]24.0093705499593[/C][C]-2.0093705499593[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]20.6878658730942[/C][C]-8.68786587309417[/C][/ROW]
[ROW][C]197[/C][C]19[/C][C]14.9399037279862[/C][C]4.06009627201377[/C][/ROW]
[ROW][C]198[/C][C]13[/C][C]18.1703147113796[/C][C]-5.17031471137963[/C][/ROW]
[ROW][C]199[/C][C]17[/C][C]19.9242799647483[/C][C]-2.92427996474831[/C][/ROW]
[ROW][C]200[/C][C]15[/C][C]18.1078160312316[/C][C]-3.10781603123158[/C][/ROW]
[ROW][C]201[/C][C]16[/C][C]15.8983802020464[/C][C]0.101619797953609[/C][/ROW]
[ROW][C]202[/C][C]24[/C][C]13.1354177776859[/C][C]10.8645822223141[/C][/ROW]
[ROW][C]203[/C][C]15[/C][C]20.2590391668226[/C][C]-5.25903916682258[/C][/ROW]
[ROW][C]204[/C][C]17[/C][C]18.847212868168[/C][C]-1.84721286816799[/C][/ROW]
[ROW][C]205[/C][C]18[/C][C]17.184342387487[/C][C]0.815657612512959[/C][/ROW]
[ROW][C]206[/C][C]20[/C][C]13.1090559792951[/C][C]6.89094402070494[/C][/ROW]
[ROW][C]207[/C][C]16[/C][C]16.4028420151026[/C][C]-0.402842015102633[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]21.8175541514853[/C][C]-5.81755415148534[/C][/ROW]
[ROW][C]209[/C][C]18[/C][C]19.1328530993077[/C][C]-1.13285309930774[/C][/ROW]
[ROW][C]210[/C][C]22[/C][C]19.1834096253224[/C][C]2.81659037467764[/C][/ROW]
[ROW][C]211[/C][C]8[/C][C]16.4574331434685[/C][C]-8.45743314346848[/C][/ROW]
[ROW][C]212[/C][C]17[/C][C]19.2236595089968[/C][C]-2.22365950899684[/C][/ROW]
[ROW][C]213[/C][C]18[/C][C]14.8038788767757[/C][C]3.1961211232243[/C][/ROW]
[ROW][C]214[/C][C]16[/C][C]17.0455088155146[/C][C]-1.04550881551465[/C][/ROW]
[ROW][C]215[/C][C]23[/C][C]14.6167249071845[/C][C]8.38327509281554[/C][/ROW]
[ROW][C]216[/C][C]22[/C][C]12.6654170155283[/C][C]9.33458298447166[/C][/ROW]
[ROW][C]217[/C][C]13[/C][C]15.5683200629521[/C][C]-2.56832006295214[/C][/ROW]
[ROW][C]218[/C][C]13[/C][C]15.4729823864582[/C][C]-2.4729823864582[/C][/ROW]
[ROW][C]219[/C][C]16[/C][C]15.381835415881[/C][C]0.618164584118979[/C][/ROW]
[ROW][C]220[/C][C]16[/C][C]14.4868221049653[/C][C]1.51317789503471[/C][/ROW]
[ROW][C]221[/C][C]20[/C][C]16.8204066733077[/C][C]3.17959332669228[/C][/ROW]
[ROW][C]222[/C][C]22[/C][C]20.1274204570613[/C][C]1.87257954293875[/C][/ROW]
[ROW][C]223[/C][C]17[/C][C]19.9945140058401[/C][C]-2.99451400584013[/C][/ROW]
[ROW][C]224[/C][C]18[/C][C]16.2872762286085[/C][C]1.71272377139154[/C][/ROW]
[ROW][C]225[/C][C]17[/C][C]11.1041419837778[/C][C]5.89585801622222[/C][/ROW]
[ROW][C]226[/C][C]12[/C][C]19.7581512558401[/C][C]-7.75815125584006[/C][/ROW]
[ROW][C]227[/C][C]7[/C][C]16.7203396344143[/C][C]-9.72033963441431[/C][/ROW]
[ROW][C]228[/C][C]17[/C][C]17.4815606858328[/C][C]-0.481560685832776[/C][/ROW]
[ROW][C]229[/C][C]14[/C][C]15.799874864073[/C][C]-1.79987486407301[/C][/ROW]
[ROW][C]230[/C][C]23[/C][C]20.1327273615872[/C][C]2.86727263841277[/C][/ROW]
[ROW][C]231[/C][C]17[/C][C]10.7596858485758[/C][C]6.24031415142422[/C][/ROW]
[ROW][C]232[/C][C]14[/C][C]17.7117176699527[/C][C]-3.71171766995266[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]18.8521295011291[/C][C]-3.85212950112908[/C][/ROW]
[ROW][C]234[/C][C]17[/C][C]14.221192443094[/C][C]2.77880755690603[/C][/ROW]
[ROW][C]235[/C][C]21[/C][C]16.9622329766975[/C][C]4.03776702330251[/C][/ROW]
[ROW][C]236[/C][C]18[/C][C]16.7172537656741[/C][C]1.28274623432591[/C][/ROW]
[ROW][C]237[/C][C]18[/C][C]19.4779102331072[/C][C]-1.47791023310719[/C][/ROW]
[ROW][C]238[/C][C]17[/C][C]13.7106756753341[/C][C]3.28932432466593[/C][/ROW]
[ROW][C]239[/C][C]17[/C][C]16.2751378795945[/C][C]0.724862120405479[/C][/ROW]
[ROW][C]240[/C][C]16[/C][C]13.2737830075913[/C][C]2.72621699240874[/C][/ROW]
[ROW][C]241[/C][C]15[/C][C]17.0377916874946[/C][C]-2.03779168749461[/C][/ROW]
[ROW][C]242[/C][C]21[/C][C]20.5432770990684[/C][C]0.456722900931573[/C][/ROW]
[ROW][C]243[/C][C]16[/C][C]15.2634199864094[/C][C]0.736580013590611[/C][/ROW]
[ROW][C]244[/C][C]14[/C][C]15.0266676600112[/C][C]-1.02666766001122[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]16.1908977047373[/C][C]-1.19089770473726[/C][/ROW]
[ROW][C]246[/C][C]17[/C][C]17.9863836480744[/C][C]-0.98638364807439[/C][/ROW]
[ROW][C]247[/C][C]15[/C][C]20.9900479928592[/C][C]-5.99004799285922[/C][/ROW]
[ROW][C]248[/C][C]15[/C][C]15.6605821008737[/C][C]-0.660582100873717[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]17.0315327353155[/C][C]-7.03153273531553[/C][/ROW]
[ROW][C]250[/C][C]6[/C][C]14.6838210165289[/C][C]-8.68382101652885[/C][/ROW]
[ROW][C]251[/C][C]22[/C][C]20.9154857055273[/C][C]1.08451429447272[/C][/ROW]
[ROW][C]252[/C][C]21[/C][C]20.0527714013374[/C][C]0.947228598662579[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]11.2646879402973[/C][C]-10.2646879402973[/C][/ROW]
[ROW][C]254[/C][C]18[/C][C]16.2990351412476[/C][C]1.70096485875239[/C][/ROW]
[ROW][C]255[/C][C]17[/C][C]15.6223033540734[/C][C]1.37769664592657[/C][/ROW]
[ROW][C]256[/C][C]4[/C][C]11.097226285974[/C][C]-7.09722628597398[/C][/ROW]
[ROW][C]257[/C][C]10[/C][C]14.5011507045496[/C][C]-4.50115070454965[/C][/ROW]
[ROW][C]258[/C][C]16[/C][C]17.0935335633721[/C][C]-1.09353356337212[/C][/ROW]
[ROW][C]259[/C][C]16[/C][C]13.7551988044083[/C][C]2.2448011955917[/C][/ROW]
[ROW][C]260[/C][C]9[/C][C]13.0103645032102[/C][C]-4.01036450321018[/C][/ROW]
[ROW][C]261[/C][C]16[/C][C]10.9540004911871[/C][C]5.04599950881287[/C][/ROW]
[ROW][C]262[/C][C]17[/C][C]17.7960473871643[/C][C]-0.796047387164263[/C][/ROW]
[ROW][C]263[/C][C]7[/C][C]11.2255604679707[/C][C]-4.22556046797072[/C][/ROW]
[ROW][C]264[/C][C]15[/C][C]15.830470868214[/C][C]-0.830470868214039[/C][/ROW]
[ROW][C]265[/C][C]14[/C][C]15.2578949256867[/C][C]-1.25789492568666[/C][/ROW]
[ROW][C]266[/C][C]14[/C][C]17.4529202891235[/C][C]-3.45292028912353[/C][/ROW]
[ROW][C]267[/C][C]18[/C][C]16.4959995641979[/C][C]1.50400043580206[/C][/ROW]
[ROW][C]268[/C][C]12[/C][C]15.9689232312597[/C][C]-3.96892323125966[/C][/ROW]
[ROW][C]269[/C][C]16[/C][C]18.1865042551371[/C][C]-2.18650425513711[/C][/ROW]
[ROW][C]270[/C][C]21[/C][C]18.9287133784408[/C][C]2.07128662155919[/C][/ROW]
[ROW][C]271[/C][C]19[/C][C]16.6940462095509[/C][C]2.30595379044914[/C][/ROW]
[ROW][C]272[/C][C]16[/C][C]15.7575670049918[/C][C]0.242432995008235[/C][/ROW]
[ROW][C]273[/C][C]1[/C][C]11.7612846207136[/C][C]-10.7612846207136[/C][/ROW]
[ROW][C]274[/C][C]16[/C][C]19.4245218409278[/C][C]-3.42452184092783[/C][/ROW]
[ROW][C]275[/C][C]10[/C][C]15.0098277967732[/C][C]-5.0098277967732[/C][/ROW]
[ROW][C]276[/C][C]19[/C][C]17.0203974562334[/C][C]1.97960254376657[/C][/ROW]
[ROW][C]277[/C][C]12[/C][C]13.8601569336726[/C][C]-1.86015693367258[/C][/ROW]
[ROW][C]278[/C][C]2[/C][C]11.1784016711742[/C][C]-9.1784016711742[/C][/ROW]
[ROW][C]279[/C][C]14[/C][C]17.3214332285058[/C][C]-3.32143322850578[/C][/ROW]
[ROW][C]280[/C][C]17[/C][C]15.3193755693972[/C][C]1.68062443060276[/C][/ROW]
[ROW][C]281[/C][C]19[/C][C]16.5640796639538[/C][C]2.4359203360462[/C][/ROW]
[ROW][C]282[/C][C]14[/C][C]20.3138764989163[/C][C]-6.3138764989163[/C][/ROW]
[ROW][C]283[/C][C]11[/C][C]17.4825016241144[/C][C]-6.4825016241144[/C][/ROW]
[ROW][C]284[/C][C]4[/C][C]11.7921643634891[/C][C]-7.79216436348906[/C][/ROW]
[ROW][C]285[/C][C]16[/C][C]13.95394234322[/C][C]2.04605765677997[/C][/ROW]
[ROW][C]286[/C][C]20[/C][C]15.1747201668168[/C][C]4.82527983318322[/C][/ROW]
[ROW][C]287[/C][C]12[/C][C]13.2026656690842[/C][C]-1.20266566908423[/C][/ROW]
[ROW][C]288[/C][C]15[/C][C]16.339818483812[/C][C]-1.33981848381199[/C][/ROW]
[ROW][C]289[/C][C]16[/C][C]14.8590562266757[/C][C]1.14094377332427[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201003&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201003&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
13032.4726988052752-2.47269880527516
22825.18742835499622.81257164500382
33827.208732158336810.7912678416632
43033.247523824932-3.247523824932
52220.88413966486591.11586033513413
62616.34144398328739.65855601671272
72542.8573206614866-17.8573206614866
81812.2930601836495.706939816351
91116.205915427209-5.20591542720905
102627.3232848230837-1.32328482308368
112525.69839562346-0.698395623459971
123829.80091620427318.19908379572692
134428.493854614514915.5061453854851
143022.33914036954277.66085963045727
154034.00170194405745.99829805594259
163425.3094030223888.69059697761195
174742.49662634430194.50337365569813
183036.6475091042249-6.64750910422487
193132.3795614330259-1.37956143302591
202328.8174680771848-5.81746807718478
213635.33531718868920.664682811310756
223633.56303819256492.43696180743506
233033.998588110123-3.99858811012295
242524.22030015159280.779699848407221
253928.740899568904910.2591004310951
263432.00872016927621.99127983072378
273128.30573911390262.69426088609742
283131.1289350864561-0.128935086456118
293332.05060331315270.949396686847331
302520.2090430053244.79095699467603
313332.68129507696260.318704923037433
323533.96220151653371.03779848346633
334225.009883641753916.9901163582461
344335.47505677470927.52494322529082
353020.26769385538159.73230614461853
363336.9948366583436-3.99483665834358
371317.613216245192-4.61321624519202
383227.6006688625944.39933113740603
393634.42474372321721.57525627678276
4009.43385015103588-9.43385015103588
412824.74540941246393.25459058753612
421418.2908472988667-4.29084729886666
431718.5933885002841-1.59338850028414
443233.4996872334008-1.49968723340076
453033.4955484110849-3.49554841108488
463524.238388042867410.7616119571326
472023.9347957945741-3.93479579457415
482826.14564608868261.85435391131743
492820.5345336080797.46546639192097
503922.028831537019216.9711684629808
513439.942919249601-5.94291924960101
522616.43480524202359.56519475797655
533930.2170809600188.78291903998197
543940.1868432143007-1.18684321430067
553327.60682709886625.3931729011338
562827.41545083233660.584549167663406
57411.1828837548633-7.18288375486334
583936.94488936932222.05511063067775
591815.81057749222522.1894225077748
601418.0743757127899-4.07437571278994
612930.2564087430917-1.25640874309174
624437.88418369619426.11581630380581
632139.3933974561261-18.3933974561261
641617.2821541799233-1.28215417992334
652835.4748424013921-7.47484240139206
663537.2923613540004-2.29236135400036
672828.8809064457917-0.880906445791709
683841.7317614483801-3.73176144838013
692338.6685095844526-15.6685095844526
703624.134655160908511.8653448390915
713228.19776127609673.80223872390333
722927.19097760213441.80902239786559
732526.0638635811083-1.0638635811083
742728.3697825658244-1.36978256582444
753628.3171402188937.68285978110695
762833.1573098838812-5.15730988388124
772329.8681586544478-6.86815865444785
784027.921740766191512.0782592338085
792315.54141547774337.45858452225672
804027.706166293094712.2938337069053
812827.85163413646310.148365863536924
823428.93173966080225.06826033919784
833336.5372192683148-3.53721926831476
842832.9155908080429-4.91559080804294
853439.3547827031434-5.35478270314336
863027.53306989832972.4669301016703
873324.92722686818988.0727731318102
882221.51724569379860.482754306201384
893840.4138981818908-2.4138981818908
902620.07791120916685.9220887908332
913531.40907823132193.59092176867814
92820.7050055370985-12.7050055370985
932417.59719477152226.40280522847777
942927.13142014635161.86857985364844
952019.33761725894080.66238274105916
962932.4638870002641-3.46388700026407
974529.778547930326615.2214520696734
983736.13160630836010.868393691639896
993325.75759016940737.24240983059273
1003334.5613732797563-1.56137327975633
1012521.30153534627023.69846465372976
1023230.18340897928531.81659102071466
1032931.904119686062-2.90411968606204
1042830.2625401220827-2.26254012208273
1052833.5007412461675-5.50074124616751
1063141.3333199396445-10.3333199396445
1075237.564150300875214.4358496991248
1082117.56832383653133.43167616346874
1092444.267398591427-20.267398591427
1104133.89339490606047.1066050939396
1113337.9460615280586-4.94606152805859
1123220.829552723697811.1704472763022
1131915.28885435799173.71114564200829
1142024.5530706973469-4.55307069734689
1153128.98605347735142.01394652264862
1163132.796859251452-1.79685925145204
1173237.7247294678197-5.72472946781971
1181825.3546482303864-7.35464823038644
1192329.8537635427145-6.8537635427145
1201719.2265418760882-2.22654187608821
1212022.2483752894334-2.24837528943337
1221214.8916433617761-2.89164336177608
1231720.3148949298787-3.31489492987868
1243030.9571066350135-0.95710663501354
1253131.2456254965216-0.245625496521633
1261016.1629459835356-6.1629459835356
1271318.8706981571917-5.87069815719168
1282222.8794247850098-0.879424785009804
1294237.4522138001134.54778619988703
130111.0696691900345-10.0696691900345
131911.7915916486511-2.79159164865108
1323229.00532104068222.9946789593178
1331115.3306142097156-4.33061420971561
1342519.52755287166175.47244712833828
1353623.604936985880112.3950630141199
1363137.8127319633191-6.81273196331912
137010.2444417389206-10.2444417389206
1382429.6432614375596-5.64326143755965
1391314.5086290596592-1.50862905965919
140812.9457399365472-4.94573993654718
1411312.92073415271130.0792658472886896
1421924.3887789354065-5.38877893540652
1431814.7449486139423.25505138605804
1443332.96057980552680.0394201944732026
1454029.986331472271610.0136685277284
1462217.33837852602684.66162147397322
1473823.953799054606714.0462009453933
1482422.16596122019541.83403877980459
149812.7600989203202-4.76009892032024
1503525.49252192155749.50747807844255
1514335.21022423432677.78977576567329
1524326.121791980158616.8782080198414
1531419.6462304171417-5.64623041714172
1544140.76508062091890.234919379081144
1553837.81206468889110.187935311108862
1564550.2559234101353-5.25592341013529
1573125.503242696255.49675730374999
1581317.285870252808-4.28587025280803
1592819.46444837338848.53555162661163
1603130.40944547727780.590554522722196
1614039.45583848533410.5441615146659
1623022.11409371609957.88590628390047
1631620.7691482224579-4.7691482224579
1643741.5493617753008-4.54936177530078
1653022.09553216996227.90446783003784
1663530.43778311661374.56221688338626
1673225.7880306946336.21196930536702
1682721.85585049274975.14414950725027
1692020.364557601988-0.364557601987999
1701828.2486477727169-10.2486477727169
1713135.7866006129801-4.78660061298013
1723133.8190003868971-2.81900038689707
1732121.8868033792318-0.886803379231836
1743936.82141966318352.17858033681651
1754134.53786984089196.46213015910814
1761318.7202796742144-5.72027967421443
1773234.3389559123479-2.33895591234795
1781816.48197527026111.5180247297389
1793938.7054464211250.294553578874987
1801420.254285498664-6.25428549866401
181717.2312426352101-10.2312426352101
1821720.9509205536635-3.95092055366348
183010.3974466723462-10.3974466723462
1843024.83240143444165.16759856555842
1853732.98968625114494.0103137488551
186010.0578781898493-10.0578781898493
187512.2932670765104-7.29326707651037
188110.0068221539695-9.00682215396951
1891619.8469569594972-3.84695695949725
1903218.707942772930313.2920572270697
1912424.3050065000291-0.305006500029088
1921716.1453904807910.854609519209027
1931117.7843355879139-6.78433558791394
1942415.89123710141468.10876289858538
1952224.0093705499593-2.0093705499593
1961220.6878658730942-8.68786587309417
1971914.93990372798624.06009627201377
1981318.1703147113796-5.17031471137963
1991719.9242799647483-2.92427996474831
2001518.1078160312316-3.10781603123158
2011615.89838020204640.101619797953609
2022413.135417777685910.8645822223141
2031520.2590391668226-5.25903916682258
2041718.847212868168-1.84721286816799
2051817.1843423874870.815657612512959
2062013.10905597929516.89094402070494
2071616.4028420151026-0.402842015102633
2081621.8175541514853-5.81755415148534
2091819.1328530993077-1.13285309930774
2102219.18340962532242.81659037467764
211816.4574331434685-8.45743314346848
2121719.2236595089968-2.22365950899684
2131814.80387887677573.1961211232243
2141617.0455088155146-1.04550881551465
2152314.61672490718458.38327509281554
2162212.66541701552839.33458298447166
2171315.5683200629521-2.56832006295214
2181315.4729823864582-2.4729823864582
2191615.3818354158810.618164584118979
2201614.48682210496531.51317789503471
2212016.82040667330773.17959332669228
2222220.12742045706131.87257954293875
2231719.9945140058401-2.99451400584013
2241816.28727622860851.71272377139154
2251711.10414198377785.89585801622222
2261219.7581512558401-7.75815125584006
227716.7203396344143-9.72033963441431
2281717.4815606858328-0.481560685832776
2291415.799874864073-1.79987486407301
2302320.13272736158722.86727263841277
2311710.75968584857586.24031415142422
2321417.7117176699527-3.71171766995266
2331518.8521295011291-3.85212950112908
2341714.2211924430942.77880755690603
2352116.96223297669754.03776702330251
2361816.71725376567411.28274623432591
2371819.4779102331072-1.47791023310719
2381713.71067567533413.28932432466593
2391716.27513787959450.724862120405479
2401613.27378300759132.72621699240874
2411517.0377916874946-2.03779168749461
2422120.54327709906840.456722900931573
2431615.26341998640940.736580013590611
2441415.0266676600112-1.02666766001122
2451516.1908977047373-1.19089770473726
2461717.9863836480744-0.98638364807439
2471520.9900479928592-5.99004799285922
2481515.6605821008737-0.660582100873717
2491017.0315327353155-7.03153273531553
250614.6838210165289-8.68382101652885
2512220.91548570552731.08451429447272
2522120.05277140133740.947228598662579
253111.2646879402973-10.2646879402973
2541816.29903514124761.70096485875239
2551715.62230335407341.37769664592657
256411.097226285974-7.09722628597398
2571014.5011507045496-4.50115070454965
2581617.0935335633721-1.09353356337212
2591613.75519880440832.2448011955917
260913.0103645032102-4.01036450321018
2611610.95400049118715.04599950881287
2621717.7960473871643-0.796047387164263
263711.2255604679707-4.22556046797072
2641515.830470868214-0.830470868214039
2651415.2578949256867-1.25789492568666
2661417.4529202891235-3.45292028912353
2671816.49599956419791.50400043580206
2681215.9689232312597-3.96892323125966
2691618.1865042551371-2.18650425513711
2702118.92871337844082.07128662155919
2711916.69404620955092.30595379044914
2721615.75756700499180.242432995008235
273111.7612846207136-10.7612846207136
2741619.4245218409278-3.42452184092783
2751015.0098277967732-5.0098277967732
2761917.02039745623341.97960254376657
2771213.8601569336726-1.86015693367258
278211.1784016711742-9.1784016711742
2791417.3214332285058-3.32143322850578
2801715.31937556939721.68062443060276
2811916.56407966395382.4359203360462
2821420.3138764989163-6.3138764989163
2831117.4825016241144-6.4825016241144
284411.7921643634891-7.79216436348906
2851613.953942343222.04605765677997
2862015.17472016681684.82527983318322
2871213.2026656690842-1.20266566908423
2881516.339818483812-1.33981848381199
2891614.85905622667571.14094377332427






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.6328614360130660.7342771279738690.367138563986934
90.4716054331481830.9432108662963670.528394566851817
100.4116960779469860.8233921558939720.588303922053014
110.2881500972980880.5763001945961770.711849902701912
120.7862698525355390.4274602949289210.213730147464461
130.8567659789555430.2864680420889140.143234021044457
140.8158680939533930.3682638120932150.184131906046607
150.8594342084820490.2811315830359020.140565791517951
160.8158119195910750.368376160817850.184188080408925
170.7842333042581150.431533391483770.215766695741885
180.8621563510128910.2756872979742170.137843648987109
190.8221812195342180.3556375609315640.177818780465782
200.90899604226650.1820079154670.0910039577335002
210.877678367794410.2446432644111790.12232163220559
220.8436723268365420.3126553463269150.156327673163458
230.8011181857328830.3977636285342350.198881814267118
240.7557526736539090.4884946526921810.244247326346091
250.7596802936917160.4806394126165680.240319706308284
260.7174043501049350.5651912997901310.282595649895065
270.6631368085049890.6737263829900220.336863191495011
280.6048854200717120.7902291598565760.395114579928288
290.5586992779993850.882601444001230.441300722000615
300.5091259159468250.981748168106350.490874084053175
310.4499615050883190.8999230101766390.550038494911681
320.3928948012977720.7857896025955440.607105198702228
330.7104192553204090.5791614893591830.289580744679591
340.7128093625072120.5743812749855750.287190637492788
350.6897090164913090.6205819670173820.310290983508691
360.6518174559160310.6963650881679380.348182544083969
370.7471261005028680.5057477989942650.252873899497133
380.7128013070864430.5743973858271130.287198692913557
390.6818356410720960.6363287178558080.318164358927904
400.8768863165619680.2462273668760640.123113683438032
410.8515898608656290.2968202782687410.148410139134371
420.8553273068536240.2893453862927520.144672693146376
430.844144338307030.311711323385940.15585566169297
440.8157721773287950.3684556453424090.184227822671205
450.7919784083424190.4160431833151620.208021591657581
460.822758226409960.3544835471800810.17724177359004
470.81320355939310.37359288121380.1867964406069
480.78144681724330.4371063655133990.2185531827567
490.7711648549086090.4576702901827820.228835145091391
500.8832249520696320.2335500958607370.116775047930368
510.8747518237566860.2504963524866280.125248176243314
520.8769408747205910.2461182505588180.123059125279409
530.8818752790991230.2362494418017530.118124720900877
540.8608812057446230.2782375885107540.139118794255377
550.8427877746136010.3144244507727980.157212225386399
560.8187884403562510.3624231192874980.181211559643749
570.8726495956954470.2547008086091050.127350404304553
580.8536096816589730.2927806366820540.146390318341027
590.8309802750009780.3380394499980440.169019724999022
600.8293102706160320.3413794587679350.170689729383968
610.8047878588529750.390424282294050.195212141147025
620.7893113800435750.4213772399128490.210688619956425
630.9327726431363020.1344547137273950.0672273568636975
640.9214548130821840.1570903738356330.0785451869178164
650.9342858069601460.1314283860797080.0657141930398541
660.9238252987794720.1523494024410560.0761747012205279
670.9093366856022520.1813266287954960.0906633143977482
680.8973554001849130.2052891996301750.102644599815087
690.9678789278351110.0642421443297790.0321210721648895
700.9799138368595930.04017232628081310.0200861631404065
710.9765423131746360.04691537365072850.0234576868253642
720.9710413072842310.05791738543153890.0289586927157695
730.9651971782646380.06960564347072370.0348028217353618
740.9592918751200990.08141624975980140.0407081248799007
750.9609760740968860.07804785180622780.0390239259031139
760.960678666336050.07864266732790010.03932133366395
770.9661837316737430.06763253665251460.0338162683262573
780.9796464869726570.04070702605468550.0203535130273428
790.9787836610281810.04243267794363750.0212163389718188
800.9881605999844320.02367880003113660.0118394000155683
810.9850893680335750.02982126393284980.0149106319664249
820.9832902956646260.03341940867074850.0167097043353742
830.9800977362465540.0398045275068910.0199022637534455
840.978314440770280.04337111845943970.0216855592297199
850.9760508782263740.0478982435472510.0239491217736255
860.9712371769379240.05752564612415220.0287628230620761
870.9729574318313760.05408513633724820.0270425681686241
880.9679954230326320.06400915393473630.0320045769673682
890.9614587213678190.07708255726436190.038541278632181
900.958414667924540.0831706641509210.0415853320754605
910.9529014235089420.09419715298211690.0470985764910584
920.9815053960410670.03698920791786580.0184946039589329
930.9789155649405040.04216887011899290.0210844350594965
940.9742916154542910.05141676909141730.0257083845457086
950.969752018153150.06049596369370040.0302479818468502
960.9695660514484430.06086789710311450.0304339485515573
970.9895970999675990.02080580006480150.0104029000324007
980.9870735099991210.02585298000175750.0129264900008787
990.987950232693220.024099534613560.01204976730678
1000.9850487253524660.02990254929506760.0149512746475338
1010.9821266162112790.03574676757744210.017873383788721
1020.9784672038370810.04306559232583870.0215327961629193
1030.9750809372070870.04983812558582570.0249190627929129
1040.9703661903256110.0592676193487780.029633809674389
1050.9684789141134250.06304217177314980.0315210858865749
1060.9743789087744710.05124218245105880.0256210912255294
1070.9916860588291710.01662788234165860.00831394117082929
1080.9900206901855760.01995861962884790.00997930981442396
1090.9989042563300220.002191487339955560.00109574366997778
1100.999077219327480.001845561345040270.000922780672520136
1110.9989501585456850.002099682908629430.00104984145431472
1120.9994256626663920.001148674667215440.000574337333607718
1130.9992824177779110.001435164444177670.000717582222088834
1140.9992716641906750.001456671618649730.000728335809324863
1150.9990546300418640.001890739916272380.000945369958136192
1160.9987754066844860.002449186631027290.00122459331551365
1170.9986364951867040.002727009626592730.00136350481329636
1180.9989812203674060.002037559265188750.00101877963259438
1190.9992882097930130.001423580413973880.000711790206986942
1200.999194871572470.001610256855060340.00080512842753017
1210.9990371561630850.001925687673829910.000962843836914956
1220.9989781857082640.002043628583472920.00102181429173646
1230.9990331153519990.001933769296001960.00096688464800098
1240.9988820529702960.002235894059407980.00111794702970399
1250.9985295488948070.002940902210385610.00147045110519281
1260.9987682576680120.002463484663976030.00123174233198802
1270.9989247489949990.002150502010001980.00107525100500099
1280.9986235271438430.002752945712313670.00137647285615684
1290.9985514922185070.0028970155629850.0014485077814925
1300.9992856629612430.001428674077513770.000714337038756887
1310.999177966985110.001644066029780310.000822033014890155
1320.9990383491023340.001923301795332370.000961650897666184
1330.998960945770.002078108460000340.00103905423000017
1340.9988041565333090.00239168693338140.0011958434666907
1350.9995411988183960.0009176023632076880.000458801181603844
1360.9995101122232930.0009797755534142720.000489887776707136
1370.9997522003618270.0004955992763454950.000247799638172747
1380.9997520982901990.0004958034196011580.000247901709800579
1390.9996831235887110.0006337528225771440.000316876411288572
1400.9996643630364180.0006712739271639360.000335636963581968
1410.9995615066044620.0008769867910753160.000438493395537658
1420.9995595340704320.0008809318591369760.000440465929568488
1430.9994328253120920.001134349375815390.000567174687907697
1440.9992377759549840.001524448090031080.00076222404501554
1450.999498278679680.001003442640640360.000501721320320179
1460.9993779545118630.001244090976274890.000622045488137444
1470.9997803560745050.0004392878509893850.000219643925494693
1480.9996995731036120.0006008537927759390.000300426896387969
1490.9996775577578910.0006448844842173340.000322442242108667
1500.9997670548802790.0004658902394411590.00023294511972058
1510.9998290321924740.0003419356150525010.000170967807526251
1520.9999874831157962.5033768408415e-051.25168842042075e-05
1530.9999864454616942.71090766119378e-051.35545383059689e-05
1540.9999805354432443.89291135122883e-051.94645567561442e-05
1550.999971945372535.61092549406922e-052.80546274703461e-05
1560.9999747907106285.04185787436945e-052.52092893718473e-05
1570.9999756100723034.87798553941027e-052.43899276970513e-05
1580.9999748007367435.03985265129036e-052.51992632564518e-05
1590.9999835041681183.2991663764728e-051.6495831882364e-05
1600.9999760073653784.79852692444588e-052.39926346222294e-05
1610.9999653161572296.93676855416136e-053.46838427708068e-05
1620.9999660588124856.78823750302338e-053.39411875151169e-05
1630.9999628825611097.42348777813794e-053.71174388906897e-05
1640.9999607391918477.85216163066504e-053.92608081533252e-05
1650.9999734222851035.31554297946672e-052.65777148973336e-05
1660.999972028781125.59424377598919e-052.7971218879946e-05
1670.9999705722881055.88554237902692e-052.94277118951346e-05
1680.999967373139316.52537213793665e-053.26268606896833e-05
1690.9999546157849589.07684300837505e-054.53842150418753e-05
1700.9999781421465334.37157069335832e-052.18578534667916e-05
1710.9999761834609194.76330781616433e-052.38165390808217e-05
1720.9999672747977616.5450404477e-053.27252022385e-05
1730.9999538467465749.23065068521695e-054.61532534260847e-05
1740.9999407300793220.0001185398413566715.92699206783356e-05
1750.9999508050477369.83899045284749e-054.91949522642375e-05
1760.9999532167189329.35665621351563e-054.67832810675781e-05
1770.9999355246479610.0001289507040789546.44753520394769e-05
1780.9999126663465690.0001746673068618178.73336534309086e-05
1790.9998864261903290.0002271476193416560.000113573809670828
1800.9998967250472880.0002065499054244820.000103274952712241
1810.9999528172801999.43654396023297e-054.71827198011648e-05
1820.9999396379124230.0001207241751548656.03620875774324e-05
1830.9999679455414276.41089171459022e-053.20544585729511e-05
1840.999968264064696.34718706194861e-053.1735935309743e-05
1850.9999791318482384.17363035231927e-052.08681517615964e-05
1860.999990070795441.98584091206849e-059.92920456034245e-06
1870.9999914861340041.70277319927102e-058.5138659963551e-06
1880.9999961012226997.79755460157186e-063.89877730078593e-06
1890.9999944594584761.10810830487798e-055.54054152438991e-06
1900.9999996971802836.05639434793483e-073.02819717396741e-07
1910.9999995756911368.48617727374243e-074.24308863687121e-07
1920.9999993285692011.34286159832705e-066.71430799163525e-07
1930.9999994431966941.11360661184515e-065.56803305922574e-07
1940.9999992433998231.51320035434009e-067.56600177170045e-07
1950.9999988891945482.22161090384734e-061.11080545192367e-06
1960.9999990270540021.94589199561481e-069.72945997807405e-07
1970.9999988356273132.32874537486362e-061.16437268743181e-06
1980.9999987255865572.5488268852295e-061.27441344261475e-06
1990.9999980471019793.90579604159908e-061.95289802079954e-06
2000.9999970638621345.87227573155998e-062.93613786577999e-06
2010.9999954475799179.10484016562986e-064.55242008281493e-06
2020.9999991616819261.67663614874835e-068.38318074374174e-07
2030.9999989669037322.06619253634515e-061.03309626817257e-06
2040.9999984632429473.073514106829e-061.5367570534145e-06
2050.9999974990003475.00199930650272e-062.50099965325136e-06
2060.9999983463689293.30726214246919e-061.6536310712346e-06
2070.999997407646165.18470768027047e-062.59235384013524e-06
2080.999997186154065.62769187972656e-062.81384593986328e-06
2090.9999954749393069.05012138808459e-064.5250606940423e-06
2100.9999962314153357.53716933080234e-063.76858466540117e-06
2110.9999976620523574.67589528524213e-062.33794764262107e-06
2120.9999962293576847.54128463266329e-063.77064231633165e-06
2130.9999951104521749.77909565253004e-064.88954782626502e-06
2140.9999924952142671.50095714664297e-057.50478573321485e-06
2150.9999956211759838.75764803428393e-064.37882401714197e-06
2160.9999986694584332.66108313339782e-061.33054156669891e-06
2170.999997907360254.18527949962689e-062.09263974981344e-06
2180.999997156405625.6871887593905e-062.84359437969525e-06
2190.9999958295297428.34094051692892e-064.17047025846446e-06
2200.9999941923093841.16153812315042e-055.8076906157521e-06
2210.9999949073366371.01853267253272e-055.09266336266362e-06
2220.9999920950366591.58099266817597e-057.90496334087985e-06
2230.9999896747003112.06505993782919e-051.03252996891459e-05
2240.9999860241128252.79517743509383e-051.39758871754691e-05
2250.9999911904082061.76191835884083e-058.80959179420415e-06
2260.9999970613753015.87724939790641e-062.93862469895321e-06
2270.9999994776676011.04466479870123e-065.22332399350613e-07
2280.9999991032457961.79350840747775e-068.96754203738876e-07
2290.9999985434035182.91319296381267e-061.45659648190634e-06
2300.9999980276346123.9447307753128e-061.9723653876564e-06
2310.9999988806386122.23872277560556e-061.11936138780278e-06
2320.9999984105258293.17894834127408e-061.58947417063704e-06
2330.9999976889419964.6221160089023e-062.31105800445115e-06
2340.9999964478618967.10427620703891e-063.55213810351946e-06
2350.9999956206143468.7587713089322e-064.3793856544661e-06
2360.999994389285891.12214282200957e-055.61071411004786e-06
2370.9999900158353111.99683293772135e-059.98416468860676e-06
2380.9999918464325081.63071349835709e-058.15356749178543e-06
2390.9999853717284252.92565431503128e-051.46282715751564e-05
2400.9999869483503612.61032992776318e-051.30516496388159e-05
2410.9999777685186154.44629627706491e-052.22314813853246e-05
2420.9999606318095387.87363809241875e-053.93681904620938e-05
2430.9999443102366670.0001113795266667185.56897633333592e-05
2440.9999154963269220.0001690073461559598.45036730779793e-05
2450.9998551942047150.0002896115905709160.000144805795285458
2460.999764427766840.0004711444663190230.000235572233159512
2470.9998149662805490.0003700674389017120.000185033719450856
2480.9996932838033170.0006134323933660370.000306716196683018
2490.999813869851760.0003722602964801510.000186130148240076
2500.9998113124620760.0003773750758482370.000188687537924119
2510.9997777783606590.0004444432786820680.000222221639341034
2520.9996148202388750.0007703595222489890.000385179761124495
2530.9996919623319420.0006160753361155150.000308037668057758
2540.9994682200406470.001063559918705580.000531779959352792
2550.9992867962533560.001426407493287590.000713203746643795
2560.998962134358170.002075731283660310.00103786564183015
2570.9983299515884220.003340096823156760.00167004841157838
2580.9972285462364050.00554290752718990.00277145376359495
2590.9966772284586670.006645543082665880.00332277154133294
2600.9946078248521130.01078435029577440.00539217514788721
2610.996590260364290.006819479271419480.00340973963570974
2620.9947108773458220.0105782453083560.005289122654178
2630.9914313213647170.0171373572705660.00856867863528302
2640.9868119324700980.02637613505980440.0131880675299022
2650.9795806137118590.04083877257628140.0204193862881407
2660.9689943681805870.06201126363882540.0310056318194127
2670.9601822237947750.07963555241045010.0398177762052251
2680.9432860866730960.1134278266538070.0567139133269036
2690.9180597473203770.1638805053592470.0819402526796234
2700.8899322369724550.220135526055090.110067763027545
2710.8446759056452190.3106481887095630.155324094354781
2720.7961148309207710.4077703381584570.203885169079229
2730.9425663635084330.1148672729831350.0574336364915674
2740.9541037890348710.09179242193025740.0458962109651287
2750.9240237625652870.1519524748694270.0759762374347134
2760.917856190907560.1642876181848810.0821438090924405
2770.861320515039890.277358969920220.13867948496011
2780.803323521417980.3933529571640410.19667647858202
2790.6972705096793890.6054589806412220.302729490320611
2800.5761737817226170.8476524365547660.423826218277383
2810.4491924136585880.8983848273171760.550807586341412

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.632861436013066 & 0.734277127973869 & 0.367138563986934 \tabularnewline
9 & 0.471605433148183 & 0.943210866296367 & 0.528394566851817 \tabularnewline
10 & 0.411696077946986 & 0.823392155893972 & 0.588303922053014 \tabularnewline
11 & 0.288150097298088 & 0.576300194596177 & 0.711849902701912 \tabularnewline
12 & 0.786269852535539 & 0.427460294928921 & 0.213730147464461 \tabularnewline
13 & 0.856765978955543 & 0.286468042088914 & 0.143234021044457 \tabularnewline
14 & 0.815868093953393 & 0.368263812093215 & 0.184131906046607 \tabularnewline
15 & 0.859434208482049 & 0.281131583035902 & 0.140565791517951 \tabularnewline
16 & 0.815811919591075 & 0.36837616081785 & 0.184188080408925 \tabularnewline
17 & 0.784233304258115 & 0.43153339148377 & 0.215766695741885 \tabularnewline
18 & 0.862156351012891 & 0.275687297974217 & 0.137843648987109 \tabularnewline
19 & 0.822181219534218 & 0.355637560931564 & 0.177818780465782 \tabularnewline
20 & 0.9089960422665 & 0.182007915467 & 0.0910039577335002 \tabularnewline
21 & 0.87767836779441 & 0.244643264411179 & 0.12232163220559 \tabularnewline
22 & 0.843672326836542 & 0.312655346326915 & 0.156327673163458 \tabularnewline
23 & 0.801118185732883 & 0.397763628534235 & 0.198881814267118 \tabularnewline
24 & 0.755752673653909 & 0.488494652692181 & 0.244247326346091 \tabularnewline
25 & 0.759680293691716 & 0.480639412616568 & 0.240319706308284 \tabularnewline
26 & 0.717404350104935 & 0.565191299790131 & 0.282595649895065 \tabularnewline
27 & 0.663136808504989 & 0.673726382990022 & 0.336863191495011 \tabularnewline
28 & 0.604885420071712 & 0.790229159856576 & 0.395114579928288 \tabularnewline
29 & 0.558699277999385 & 0.88260144400123 & 0.441300722000615 \tabularnewline
30 & 0.509125915946825 & 0.98174816810635 & 0.490874084053175 \tabularnewline
31 & 0.449961505088319 & 0.899923010176639 & 0.550038494911681 \tabularnewline
32 & 0.392894801297772 & 0.785789602595544 & 0.607105198702228 \tabularnewline
33 & 0.710419255320409 & 0.579161489359183 & 0.289580744679591 \tabularnewline
34 & 0.712809362507212 & 0.574381274985575 & 0.287190637492788 \tabularnewline
35 & 0.689709016491309 & 0.620581967017382 & 0.310290983508691 \tabularnewline
36 & 0.651817455916031 & 0.696365088167938 & 0.348182544083969 \tabularnewline
37 & 0.747126100502868 & 0.505747798994265 & 0.252873899497133 \tabularnewline
38 & 0.712801307086443 & 0.574397385827113 & 0.287198692913557 \tabularnewline
39 & 0.681835641072096 & 0.636328717855808 & 0.318164358927904 \tabularnewline
40 & 0.876886316561968 & 0.246227366876064 & 0.123113683438032 \tabularnewline
41 & 0.851589860865629 & 0.296820278268741 & 0.148410139134371 \tabularnewline
42 & 0.855327306853624 & 0.289345386292752 & 0.144672693146376 \tabularnewline
43 & 0.84414433830703 & 0.31171132338594 & 0.15585566169297 \tabularnewline
44 & 0.815772177328795 & 0.368455645342409 & 0.184227822671205 \tabularnewline
45 & 0.791978408342419 & 0.416043183315162 & 0.208021591657581 \tabularnewline
46 & 0.82275822640996 & 0.354483547180081 & 0.17724177359004 \tabularnewline
47 & 0.8132035593931 & 0.3735928812138 & 0.1867964406069 \tabularnewline
48 & 0.7814468172433 & 0.437106365513399 & 0.2185531827567 \tabularnewline
49 & 0.771164854908609 & 0.457670290182782 & 0.228835145091391 \tabularnewline
50 & 0.883224952069632 & 0.233550095860737 & 0.116775047930368 \tabularnewline
51 & 0.874751823756686 & 0.250496352486628 & 0.125248176243314 \tabularnewline
52 & 0.876940874720591 & 0.246118250558818 & 0.123059125279409 \tabularnewline
53 & 0.881875279099123 & 0.236249441801753 & 0.118124720900877 \tabularnewline
54 & 0.860881205744623 & 0.278237588510754 & 0.139118794255377 \tabularnewline
55 & 0.842787774613601 & 0.314424450772798 & 0.157212225386399 \tabularnewline
56 & 0.818788440356251 & 0.362423119287498 & 0.181211559643749 \tabularnewline
57 & 0.872649595695447 & 0.254700808609105 & 0.127350404304553 \tabularnewline
58 & 0.853609681658973 & 0.292780636682054 & 0.146390318341027 \tabularnewline
59 & 0.830980275000978 & 0.338039449998044 & 0.169019724999022 \tabularnewline
60 & 0.829310270616032 & 0.341379458767935 & 0.170689729383968 \tabularnewline
61 & 0.804787858852975 & 0.39042428229405 & 0.195212141147025 \tabularnewline
62 & 0.789311380043575 & 0.421377239912849 & 0.210688619956425 \tabularnewline
63 & 0.932772643136302 & 0.134454713727395 & 0.0672273568636975 \tabularnewline
64 & 0.921454813082184 & 0.157090373835633 & 0.0785451869178164 \tabularnewline
65 & 0.934285806960146 & 0.131428386079708 & 0.0657141930398541 \tabularnewline
66 & 0.923825298779472 & 0.152349402441056 & 0.0761747012205279 \tabularnewline
67 & 0.909336685602252 & 0.181326628795496 & 0.0906633143977482 \tabularnewline
68 & 0.897355400184913 & 0.205289199630175 & 0.102644599815087 \tabularnewline
69 & 0.967878927835111 & 0.064242144329779 & 0.0321210721648895 \tabularnewline
70 & 0.979913836859593 & 0.0401723262808131 & 0.0200861631404065 \tabularnewline
71 & 0.976542313174636 & 0.0469153736507285 & 0.0234576868253642 \tabularnewline
72 & 0.971041307284231 & 0.0579173854315389 & 0.0289586927157695 \tabularnewline
73 & 0.965197178264638 & 0.0696056434707237 & 0.0348028217353618 \tabularnewline
74 & 0.959291875120099 & 0.0814162497598014 & 0.0407081248799007 \tabularnewline
75 & 0.960976074096886 & 0.0780478518062278 & 0.0390239259031139 \tabularnewline
76 & 0.96067866633605 & 0.0786426673279001 & 0.03932133366395 \tabularnewline
77 & 0.966183731673743 & 0.0676325366525146 & 0.0338162683262573 \tabularnewline
78 & 0.979646486972657 & 0.0407070260546855 & 0.0203535130273428 \tabularnewline
79 & 0.978783661028181 & 0.0424326779436375 & 0.0212163389718188 \tabularnewline
80 & 0.988160599984432 & 0.0236788000311366 & 0.0118394000155683 \tabularnewline
81 & 0.985089368033575 & 0.0298212639328498 & 0.0149106319664249 \tabularnewline
82 & 0.983290295664626 & 0.0334194086707485 & 0.0167097043353742 \tabularnewline
83 & 0.980097736246554 & 0.039804527506891 & 0.0199022637534455 \tabularnewline
84 & 0.97831444077028 & 0.0433711184594397 & 0.0216855592297199 \tabularnewline
85 & 0.976050878226374 & 0.047898243547251 & 0.0239491217736255 \tabularnewline
86 & 0.971237176937924 & 0.0575256461241522 & 0.0287628230620761 \tabularnewline
87 & 0.972957431831376 & 0.0540851363372482 & 0.0270425681686241 \tabularnewline
88 & 0.967995423032632 & 0.0640091539347363 & 0.0320045769673682 \tabularnewline
89 & 0.961458721367819 & 0.0770825572643619 & 0.038541278632181 \tabularnewline
90 & 0.95841466792454 & 0.083170664150921 & 0.0415853320754605 \tabularnewline
91 & 0.952901423508942 & 0.0941971529821169 & 0.0470985764910584 \tabularnewline
92 & 0.981505396041067 & 0.0369892079178658 & 0.0184946039589329 \tabularnewline
93 & 0.978915564940504 & 0.0421688701189929 & 0.0210844350594965 \tabularnewline
94 & 0.974291615454291 & 0.0514167690914173 & 0.0257083845457086 \tabularnewline
95 & 0.96975201815315 & 0.0604959636937004 & 0.0302479818468502 \tabularnewline
96 & 0.969566051448443 & 0.0608678971031145 & 0.0304339485515573 \tabularnewline
97 & 0.989597099967599 & 0.0208058000648015 & 0.0104029000324007 \tabularnewline
98 & 0.987073509999121 & 0.0258529800017575 & 0.0129264900008787 \tabularnewline
99 & 0.98795023269322 & 0.02409953461356 & 0.01204976730678 \tabularnewline
100 & 0.985048725352466 & 0.0299025492950676 & 0.0149512746475338 \tabularnewline
101 & 0.982126616211279 & 0.0357467675774421 & 0.017873383788721 \tabularnewline
102 & 0.978467203837081 & 0.0430655923258387 & 0.0215327961629193 \tabularnewline
103 & 0.975080937207087 & 0.0498381255858257 & 0.0249190627929129 \tabularnewline
104 & 0.970366190325611 & 0.059267619348778 & 0.029633809674389 \tabularnewline
105 & 0.968478914113425 & 0.0630421717731498 & 0.0315210858865749 \tabularnewline
106 & 0.974378908774471 & 0.0512421824510588 & 0.0256210912255294 \tabularnewline
107 & 0.991686058829171 & 0.0166278823416586 & 0.00831394117082929 \tabularnewline
108 & 0.990020690185576 & 0.0199586196288479 & 0.00997930981442396 \tabularnewline
109 & 0.998904256330022 & 0.00219148733995556 & 0.00109574366997778 \tabularnewline
110 & 0.99907721932748 & 0.00184556134504027 & 0.000922780672520136 \tabularnewline
111 & 0.998950158545685 & 0.00209968290862943 & 0.00104984145431472 \tabularnewline
112 & 0.999425662666392 & 0.00114867466721544 & 0.000574337333607718 \tabularnewline
113 & 0.999282417777911 & 0.00143516444417767 & 0.000717582222088834 \tabularnewline
114 & 0.999271664190675 & 0.00145667161864973 & 0.000728335809324863 \tabularnewline
115 & 0.999054630041864 & 0.00189073991627238 & 0.000945369958136192 \tabularnewline
116 & 0.998775406684486 & 0.00244918663102729 & 0.00122459331551365 \tabularnewline
117 & 0.998636495186704 & 0.00272700962659273 & 0.00136350481329636 \tabularnewline
118 & 0.998981220367406 & 0.00203755926518875 & 0.00101877963259438 \tabularnewline
119 & 0.999288209793013 & 0.00142358041397388 & 0.000711790206986942 \tabularnewline
120 & 0.99919487157247 & 0.00161025685506034 & 0.00080512842753017 \tabularnewline
121 & 0.999037156163085 & 0.00192568767382991 & 0.000962843836914956 \tabularnewline
122 & 0.998978185708264 & 0.00204362858347292 & 0.00102181429173646 \tabularnewline
123 & 0.999033115351999 & 0.00193376929600196 & 0.00096688464800098 \tabularnewline
124 & 0.998882052970296 & 0.00223589405940798 & 0.00111794702970399 \tabularnewline
125 & 0.998529548894807 & 0.00294090221038561 & 0.00147045110519281 \tabularnewline
126 & 0.998768257668012 & 0.00246348466397603 & 0.00123174233198802 \tabularnewline
127 & 0.998924748994999 & 0.00215050201000198 & 0.00107525100500099 \tabularnewline
128 & 0.998623527143843 & 0.00275294571231367 & 0.00137647285615684 \tabularnewline
129 & 0.998551492218507 & 0.002897015562985 & 0.0014485077814925 \tabularnewline
130 & 0.999285662961243 & 0.00142867407751377 & 0.000714337038756887 \tabularnewline
131 & 0.99917796698511 & 0.00164406602978031 & 0.000822033014890155 \tabularnewline
132 & 0.999038349102334 & 0.00192330179533237 & 0.000961650897666184 \tabularnewline
133 & 0.99896094577 & 0.00207810846000034 & 0.00103905423000017 \tabularnewline
134 & 0.998804156533309 & 0.0023916869333814 & 0.0011958434666907 \tabularnewline
135 & 0.999541198818396 & 0.000917602363207688 & 0.000458801181603844 \tabularnewline
136 & 0.999510112223293 & 0.000979775553414272 & 0.000489887776707136 \tabularnewline
137 & 0.999752200361827 & 0.000495599276345495 & 0.000247799638172747 \tabularnewline
138 & 0.999752098290199 & 0.000495803419601158 & 0.000247901709800579 \tabularnewline
139 & 0.999683123588711 & 0.000633752822577144 & 0.000316876411288572 \tabularnewline
140 & 0.999664363036418 & 0.000671273927163936 & 0.000335636963581968 \tabularnewline
141 & 0.999561506604462 & 0.000876986791075316 & 0.000438493395537658 \tabularnewline
142 & 0.999559534070432 & 0.000880931859136976 & 0.000440465929568488 \tabularnewline
143 & 0.999432825312092 & 0.00113434937581539 & 0.000567174687907697 \tabularnewline
144 & 0.999237775954984 & 0.00152444809003108 & 0.00076222404501554 \tabularnewline
145 & 0.99949827867968 & 0.00100344264064036 & 0.000501721320320179 \tabularnewline
146 & 0.999377954511863 & 0.00124409097627489 & 0.000622045488137444 \tabularnewline
147 & 0.999780356074505 & 0.000439287850989385 & 0.000219643925494693 \tabularnewline
148 & 0.999699573103612 & 0.000600853792775939 & 0.000300426896387969 \tabularnewline
149 & 0.999677557757891 & 0.000644884484217334 & 0.000322442242108667 \tabularnewline
150 & 0.999767054880279 & 0.000465890239441159 & 0.00023294511972058 \tabularnewline
151 & 0.999829032192474 & 0.000341935615052501 & 0.000170967807526251 \tabularnewline
152 & 0.999987483115796 & 2.5033768408415e-05 & 1.25168842042075e-05 \tabularnewline
153 & 0.999986445461694 & 2.71090766119378e-05 & 1.35545383059689e-05 \tabularnewline
154 & 0.999980535443244 & 3.89291135122883e-05 & 1.94645567561442e-05 \tabularnewline
155 & 0.99997194537253 & 5.61092549406922e-05 & 2.80546274703461e-05 \tabularnewline
156 & 0.999974790710628 & 5.04185787436945e-05 & 2.52092893718473e-05 \tabularnewline
157 & 0.999975610072303 & 4.87798553941027e-05 & 2.43899276970513e-05 \tabularnewline
158 & 0.999974800736743 & 5.03985265129036e-05 & 2.51992632564518e-05 \tabularnewline
159 & 0.999983504168118 & 3.2991663764728e-05 & 1.6495831882364e-05 \tabularnewline
160 & 0.999976007365378 & 4.79852692444588e-05 & 2.39926346222294e-05 \tabularnewline
161 & 0.999965316157229 & 6.93676855416136e-05 & 3.46838427708068e-05 \tabularnewline
162 & 0.999966058812485 & 6.78823750302338e-05 & 3.39411875151169e-05 \tabularnewline
163 & 0.999962882561109 & 7.42348777813794e-05 & 3.71174388906897e-05 \tabularnewline
164 & 0.999960739191847 & 7.85216163066504e-05 & 3.92608081533252e-05 \tabularnewline
165 & 0.999973422285103 & 5.31554297946672e-05 & 2.65777148973336e-05 \tabularnewline
166 & 0.99997202878112 & 5.59424377598919e-05 & 2.7971218879946e-05 \tabularnewline
167 & 0.999970572288105 & 5.88554237902692e-05 & 2.94277118951346e-05 \tabularnewline
168 & 0.99996737313931 & 6.52537213793665e-05 & 3.26268606896833e-05 \tabularnewline
169 & 0.999954615784958 & 9.07684300837505e-05 & 4.53842150418753e-05 \tabularnewline
170 & 0.999978142146533 & 4.37157069335832e-05 & 2.18578534667916e-05 \tabularnewline
171 & 0.999976183460919 & 4.76330781616433e-05 & 2.38165390808217e-05 \tabularnewline
172 & 0.999967274797761 & 6.5450404477e-05 & 3.27252022385e-05 \tabularnewline
173 & 0.999953846746574 & 9.23065068521695e-05 & 4.61532534260847e-05 \tabularnewline
174 & 0.999940730079322 & 0.000118539841356671 & 5.92699206783356e-05 \tabularnewline
175 & 0.999950805047736 & 9.83899045284749e-05 & 4.91949522642375e-05 \tabularnewline
176 & 0.999953216718932 & 9.35665621351563e-05 & 4.67832810675781e-05 \tabularnewline
177 & 0.999935524647961 & 0.000128950704078954 & 6.44753520394769e-05 \tabularnewline
178 & 0.999912666346569 & 0.000174667306861817 & 8.73336534309086e-05 \tabularnewline
179 & 0.999886426190329 & 0.000227147619341656 & 0.000113573809670828 \tabularnewline
180 & 0.999896725047288 & 0.000206549905424482 & 0.000103274952712241 \tabularnewline
181 & 0.999952817280199 & 9.43654396023297e-05 & 4.71827198011648e-05 \tabularnewline
182 & 0.999939637912423 & 0.000120724175154865 & 6.03620875774324e-05 \tabularnewline
183 & 0.999967945541427 & 6.41089171459022e-05 & 3.20544585729511e-05 \tabularnewline
184 & 0.99996826406469 & 6.34718706194861e-05 & 3.1735935309743e-05 \tabularnewline
185 & 0.999979131848238 & 4.17363035231927e-05 & 2.08681517615964e-05 \tabularnewline
186 & 0.99999007079544 & 1.98584091206849e-05 & 9.92920456034245e-06 \tabularnewline
187 & 0.999991486134004 & 1.70277319927102e-05 & 8.5138659963551e-06 \tabularnewline
188 & 0.999996101222699 & 7.79755460157186e-06 & 3.89877730078593e-06 \tabularnewline
189 & 0.999994459458476 & 1.10810830487798e-05 & 5.54054152438991e-06 \tabularnewline
190 & 0.999999697180283 & 6.05639434793483e-07 & 3.02819717396741e-07 \tabularnewline
191 & 0.999999575691136 & 8.48617727374243e-07 & 4.24308863687121e-07 \tabularnewline
192 & 0.999999328569201 & 1.34286159832705e-06 & 6.71430799163525e-07 \tabularnewline
193 & 0.999999443196694 & 1.11360661184515e-06 & 5.56803305922574e-07 \tabularnewline
194 & 0.999999243399823 & 1.51320035434009e-06 & 7.56600177170045e-07 \tabularnewline
195 & 0.999998889194548 & 2.22161090384734e-06 & 1.11080545192367e-06 \tabularnewline
196 & 0.999999027054002 & 1.94589199561481e-06 & 9.72945997807405e-07 \tabularnewline
197 & 0.999998835627313 & 2.32874537486362e-06 & 1.16437268743181e-06 \tabularnewline
198 & 0.999998725586557 & 2.5488268852295e-06 & 1.27441344261475e-06 \tabularnewline
199 & 0.999998047101979 & 3.90579604159908e-06 & 1.95289802079954e-06 \tabularnewline
200 & 0.999997063862134 & 5.87227573155998e-06 & 2.93613786577999e-06 \tabularnewline
201 & 0.999995447579917 & 9.10484016562986e-06 & 4.55242008281493e-06 \tabularnewline
202 & 0.999999161681926 & 1.67663614874835e-06 & 8.38318074374174e-07 \tabularnewline
203 & 0.999998966903732 & 2.06619253634515e-06 & 1.03309626817257e-06 \tabularnewline
204 & 0.999998463242947 & 3.073514106829e-06 & 1.5367570534145e-06 \tabularnewline
205 & 0.999997499000347 & 5.00199930650272e-06 & 2.50099965325136e-06 \tabularnewline
206 & 0.999998346368929 & 3.30726214246919e-06 & 1.6536310712346e-06 \tabularnewline
207 & 0.99999740764616 & 5.18470768027047e-06 & 2.59235384013524e-06 \tabularnewline
208 & 0.99999718615406 & 5.62769187972656e-06 & 2.81384593986328e-06 \tabularnewline
209 & 0.999995474939306 & 9.05012138808459e-06 & 4.5250606940423e-06 \tabularnewline
210 & 0.999996231415335 & 7.53716933080234e-06 & 3.76858466540117e-06 \tabularnewline
211 & 0.999997662052357 & 4.67589528524213e-06 & 2.33794764262107e-06 \tabularnewline
212 & 0.999996229357684 & 7.54128463266329e-06 & 3.77064231633165e-06 \tabularnewline
213 & 0.999995110452174 & 9.77909565253004e-06 & 4.88954782626502e-06 \tabularnewline
214 & 0.999992495214267 & 1.50095714664297e-05 & 7.50478573321485e-06 \tabularnewline
215 & 0.999995621175983 & 8.75764803428393e-06 & 4.37882401714197e-06 \tabularnewline
216 & 0.999998669458433 & 2.66108313339782e-06 & 1.33054156669891e-06 \tabularnewline
217 & 0.99999790736025 & 4.18527949962689e-06 & 2.09263974981344e-06 \tabularnewline
218 & 0.99999715640562 & 5.6871887593905e-06 & 2.84359437969525e-06 \tabularnewline
219 & 0.999995829529742 & 8.34094051692892e-06 & 4.17047025846446e-06 \tabularnewline
220 & 0.999994192309384 & 1.16153812315042e-05 & 5.8076906157521e-06 \tabularnewline
221 & 0.999994907336637 & 1.01853267253272e-05 & 5.09266336266362e-06 \tabularnewline
222 & 0.999992095036659 & 1.58099266817597e-05 & 7.90496334087985e-06 \tabularnewline
223 & 0.999989674700311 & 2.06505993782919e-05 & 1.03252996891459e-05 \tabularnewline
224 & 0.999986024112825 & 2.79517743509383e-05 & 1.39758871754691e-05 \tabularnewline
225 & 0.999991190408206 & 1.76191835884083e-05 & 8.80959179420415e-06 \tabularnewline
226 & 0.999997061375301 & 5.87724939790641e-06 & 2.93862469895321e-06 \tabularnewline
227 & 0.999999477667601 & 1.04466479870123e-06 & 5.22332399350613e-07 \tabularnewline
228 & 0.999999103245796 & 1.79350840747775e-06 & 8.96754203738876e-07 \tabularnewline
229 & 0.999998543403518 & 2.91319296381267e-06 & 1.45659648190634e-06 \tabularnewline
230 & 0.999998027634612 & 3.9447307753128e-06 & 1.9723653876564e-06 \tabularnewline
231 & 0.999998880638612 & 2.23872277560556e-06 & 1.11936138780278e-06 \tabularnewline
232 & 0.999998410525829 & 3.17894834127408e-06 & 1.58947417063704e-06 \tabularnewline
233 & 0.999997688941996 & 4.6221160089023e-06 & 2.31105800445115e-06 \tabularnewline
234 & 0.999996447861896 & 7.10427620703891e-06 & 3.55213810351946e-06 \tabularnewline
235 & 0.999995620614346 & 8.7587713089322e-06 & 4.3793856544661e-06 \tabularnewline
236 & 0.99999438928589 & 1.12214282200957e-05 & 5.61071411004786e-06 \tabularnewline
237 & 0.999990015835311 & 1.99683293772135e-05 & 9.98416468860676e-06 \tabularnewline
238 & 0.999991846432508 & 1.63071349835709e-05 & 8.15356749178543e-06 \tabularnewline
239 & 0.999985371728425 & 2.92565431503128e-05 & 1.46282715751564e-05 \tabularnewline
240 & 0.999986948350361 & 2.61032992776318e-05 & 1.30516496388159e-05 \tabularnewline
241 & 0.999977768518615 & 4.44629627706491e-05 & 2.22314813853246e-05 \tabularnewline
242 & 0.999960631809538 & 7.87363809241875e-05 & 3.93681904620938e-05 \tabularnewline
243 & 0.999944310236667 & 0.000111379526666718 & 5.56897633333592e-05 \tabularnewline
244 & 0.999915496326922 & 0.000169007346155959 & 8.45036730779793e-05 \tabularnewline
245 & 0.999855194204715 & 0.000289611590570916 & 0.000144805795285458 \tabularnewline
246 & 0.99976442776684 & 0.000471144466319023 & 0.000235572233159512 \tabularnewline
247 & 0.999814966280549 & 0.000370067438901712 & 0.000185033719450856 \tabularnewline
248 & 0.999693283803317 & 0.000613432393366037 & 0.000306716196683018 \tabularnewline
249 & 0.99981386985176 & 0.000372260296480151 & 0.000186130148240076 \tabularnewline
250 & 0.999811312462076 & 0.000377375075848237 & 0.000188687537924119 \tabularnewline
251 & 0.999777778360659 & 0.000444443278682068 & 0.000222221639341034 \tabularnewline
252 & 0.999614820238875 & 0.000770359522248989 & 0.000385179761124495 \tabularnewline
253 & 0.999691962331942 & 0.000616075336115515 & 0.000308037668057758 \tabularnewline
254 & 0.999468220040647 & 0.00106355991870558 & 0.000531779959352792 \tabularnewline
255 & 0.999286796253356 & 0.00142640749328759 & 0.000713203746643795 \tabularnewline
256 & 0.99896213435817 & 0.00207573128366031 & 0.00103786564183015 \tabularnewline
257 & 0.998329951588422 & 0.00334009682315676 & 0.00167004841157838 \tabularnewline
258 & 0.997228546236405 & 0.0055429075271899 & 0.00277145376359495 \tabularnewline
259 & 0.996677228458667 & 0.00664554308266588 & 0.00332277154133294 \tabularnewline
260 & 0.994607824852113 & 0.0107843502957744 & 0.00539217514788721 \tabularnewline
261 & 0.99659026036429 & 0.00681947927141948 & 0.00340973963570974 \tabularnewline
262 & 0.994710877345822 & 0.010578245308356 & 0.005289122654178 \tabularnewline
263 & 0.991431321364717 & 0.017137357270566 & 0.00856867863528302 \tabularnewline
264 & 0.986811932470098 & 0.0263761350598044 & 0.0131880675299022 \tabularnewline
265 & 0.979580613711859 & 0.0408387725762814 & 0.0204193862881407 \tabularnewline
266 & 0.968994368180587 & 0.0620112636388254 & 0.0310056318194127 \tabularnewline
267 & 0.960182223794775 & 0.0796355524104501 & 0.0398177762052251 \tabularnewline
268 & 0.943286086673096 & 0.113427826653807 & 0.0567139133269036 \tabularnewline
269 & 0.918059747320377 & 0.163880505359247 & 0.0819402526796234 \tabularnewline
270 & 0.889932236972455 & 0.22013552605509 & 0.110067763027545 \tabularnewline
271 & 0.844675905645219 & 0.310648188709563 & 0.155324094354781 \tabularnewline
272 & 0.796114830920771 & 0.407770338158457 & 0.203885169079229 \tabularnewline
273 & 0.942566363508433 & 0.114867272983135 & 0.0574336364915674 \tabularnewline
274 & 0.954103789034871 & 0.0917924219302574 & 0.0458962109651287 \tabularnewline
275 & 0.924023762565287 & 0.151952474869427 & 0.0759762374347134 \tabularnewline
276 & 0.91785619090756 & 0.164287618184881 & 0.0821438090924405 \tabularnewline
277 & 0.86132051503989 & 0.27735896992022 & 0.13867948496011 \tabularnewline
278 & 0.80332352141798 & 0.393352957164041 & 0.19667647858202 \tabularnewline
279 & 0.697270509679389 & 0.605458980641222 & 0.302729490320611 \tabularnewline
280 & 0.576173781722617 & 0.847652436554766 & 0.423826218277383 \tabularnewline
281 & 0.449192413658588 & 0.898384827317176 & 0.550807586341412 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201003&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]8[/C][C]0.632861436013066[/C][C]0.734277127973869[/C][C]0.367138563986934[/C][/ROW]
[ROW][C]9[/C][C]0.471605433148183[/C][C]0.943210866296367[/C][C]0.528394566851817[/C][/ROW]
[ROW][C]10[/C][C]0.411696077946986[/C][C]0.823392155893972[/C][C]0.588303922053014[/C][/ROW]
[ROW][C]11[/C][C]0.288150097298088[/C][C]0.576300194596177[/C][C]0.711849902701912[/C][/ROW]
[ROW][C]12[/C][C]0.786269852535539[/C][C]0.427460294928921[/C][C]0.213730147464461[/C][/ROW]
[ROW][C]13[/C][C]0.856765978955543[/C][C]0.286468042088914[/C][C]0.143234021044457[/C][/ROW]
[ROW][C]14[/C][C]0.815868093953393[/C][C]0.368263812093215[/C][C]0.184131906046607[/C][/ROW]
[ROW][C]15[/C][C]0.859434208482049[/C][C]0.281131583035902[/C][C]0.140565791517951[/C][/ROW]
[ROW][C]16[/C][C]0.815811919591075[/C][C]0.36837616081785[/C][C]0.184188080408925[/C][/ROW]
[ROW][C]17[/C][C]0.784233304258115[/C][C]0.43153339148377[/C][C]0.215766695741885[/C][/ROW]
[ROW][C]18[/C][C]0.862156351012891[/C][C]0.275687297974217[/C][C]0.137843648987109[/C][/ROW]
[ROW][C]19[/C][C]0.822181219534218[/C][C]0.355637560931564[/C][C]0.177818780465782[/C][/ROW]
[ROW][C]20[/C][C]0.9089960422665[/C][C]0.182007915467[/C][C]0.0910039577335002[/C][/ROW]
[ROW][C]21[/C][C]0.87767836779441[/C][C]0.244643264411179[/C][C]0.12232163220559[/C][/ROW]
[ROW][C]22[/C][C]0.843672326836542[/C][C]0.312655346326915[/C][C]0.156327673163458[/C][/ROW]
[ROW][C]23[/C][C]0.801118185732883[/C][C]0.397763628534235[/C][C]0.198881814267118[/C][/ROW]
[ROW][C]24[/C][C]0.755752673653909[/C][C]0.488494652692181[/C][C]0.244247326346091[/C][/ROW]
[ROW][C]25[/C][C]0.759680293691716[/C][C]0.480639412616568[/C][C]0.240319706308284[/C][/ROW]
[ROW][C]26[/C][C]0.717404350104935[/C][C]0.565191299790131[/C][C]0.282595649895065[/C][/ROW]
[ROW][C]27[/C][C]0.663136808504989[/C][C]0.673726382990022[/C][C]0.336863191495011[/C][/ROW]
[ROW][C]28[/C][C]0.604885420071712[/C][C]0.790229159856576[/C][C]0.395114579928288[/C][/ROW]
[ROW][C]29[/C][C]0.558699277999385[/C][C]0.88260144400123[/C][C]0.441300722000615[/C][/ROW]
[ROW][C]30[/C][C]0.509125915946825[/C][C]0.98174816810635[/C][C]0.490874084053175[/C][/ROW]
[ROW][C]31[/C][C]0.449961505088319[/C][C]0.899923010176639[/C][C]0.550038494911681[/C][/ROW]
[ROW][C]32[/C][C]0.392894801297772[/C][C]0.785789602595544[/C][C]0.607105198702228[/C][/ROW]
[ROW][C]33[/C][C]0.710419255320409[/C][C]0.579161489359183[/C][C]0.289580744679591[/C][/ROW]
[ROW][C]34[/C][C]0.712809362507212[/C][C]0.574381274985575[/C][C]0.287190637492788[/C][/ROW]
[ROW][C]35[/C][C]0.689709016491309[/C][C]0.620581967017382[/C][C]0.310290983508691[/C][/ROW]
[ROW][C]36[/C][C]0.651817455916031[/C][C]0.696365088167938[/C][C]0.348182544083969[/C][/ROW]
[ROW][C]37[/C][C]0.747126100502868[/C][C]0.505747798994265[/C][C]0.252873899497133[/C][/ROW]
[ROW][C]38[/C][C]0.712801307086443[/C][C]0.574397385827113[/C][C]0.287198692913557[/C][/ROW]
[ROW][C]39[/C][C]0.681835641072096[/C][C]0.636328717855808[/C][C]0.318164358927904[/C][/ROW]
[ROW][C]40[/C][C]0.876886316561968[/C][C]0.246227366876064[/C][C]0.123113683438032[/C][/ROW]
[ROW][C]41[/C][C]0.851589860865629[/C][C]0.296820278268741[/C][C]0.148410139134371[/C][/ROW]
[ROW][C]42[/C][C]0.855327306853624[/C][C]0.289345386292752[/C][C]0.144672693146376[/C][/ROW]
[ROW][C]43[/C][C]0.84414433830703[/C][C]0.31171132338594[/C][C]0.15585566169297[/C][/ROW]
[ROW][C]44[/C][C]0.815772177328795[/C][C]0.368455645342409[/C][C]0.184227822671205[/C][/ROW]
[ROW][C]45[/C][C]0.791978408342419[/C][C]0.416043183315162[/C][C]0.208021591657581[/C][/ROW]
[ROW][C]46[/C][C]0.82275822640996[/C][C]0.354483547180081[/C][C]0.17724177359004[/C][/ROW]
[ROW][C]47[/C][C]0.8132035593931[/C][C]0.3735928812138[/C][C]0.1867964406069[/C][/ROW]
[ROW][C]48[/C][C]0.7814468172433[/C][C]0.437106365513399[/C][C]0.2185531827567[/C][/ROW]
[ROW][C]49[/C][C]0.771164854908609[/C][C]0.457670290182782[/C][C]0.228835145091391[/C][/ROW]
[ROW][C]50[/C][C]0.883224952069632[/C][C]0.233550095860737[/C][C]0.116775047930368[/C][/ROW]
[ROW][C]51[/C][C]0.874751823756686[/C][C]0.250496352486628[/C][C]0.125248176243314[/C][/ROW]
[ROW][C]52[/C][C]0.876940874720591[/C][C]0.246118250558818[/C][C]0.123059125279409[/C][/ROW]
[ROW][C]53[/C][C]0.881875279099123[/C][C]0.236249441801753[/C][C]0.118124720900877[/C][/ROW]
[ROW][C]54[/C][C]0.860881205744623[/C][C]0.278237588510754[/C][C]0.139118794255377[/C][/ROW]
[ROW][C]55[/C][C]0.842787774613601[/C][C]0.314424450772798[/C][C]0.157212225386399[/C][/ROW]
[ROW][C]56[/C][C]0.818788440356251[/C][C]0.362423119287498[/C][C]0.181211559643749[/C][/ROW]
[ROW][C]57[/C][C]0.872649595695447[/C][C]0.254700808609105[/C][C]0.127350404304553[/C][/ROW]
[ROW][C]58[/C][C]0.853609681658973[/C][C]0.292780636682054[/C][C]0.146390318341027[/C][/ROW]
[ROW][C]59[/C][C]0.830980275000978[/C][C]0.338039449998044[/C][C]0.169019724999022[/C][/ROW]
[ROW][C]60[/C][C]0.829310270616032[/C][C]0.341379458767935[/C][C]0.170689729383968[/C][/ROW]
[ROW][C]61[/C][C]0.804787858852975[/C][C]0.39042428229405[/C][C]0.195212141147025[/C][/ROW]
[ROW][C]62[/C][C]0.789311380043575[/C][C]0.421377239912849[/C][C]0.210688619956425[/C][/ROW]
[ROW][C]63[/C][C]0.932772643136302[/C][C]0.134454713727395[/C][C]0.0672273568636975[/C][/ROW]
[ROW][C]64[/C][C]0.921454813082184[/C][C]0.157090373835633[/C][C]0.0785451869178164[/C][/ROW]
[ROW][C]65[/C][C]0.934285806960146[/C][C]0.131428386079708[/C][C]0.0657141930398541[/C][/ROW]
[ROW][C]66[/C][C]0.923825298779472[/C][C]0.152349402441056[/C][C]0.0761747012205279[/C][/ROW]
[ROW][C]67[/C][C]0.909336685602252[/C][C]0.181326628795496[/C][C]0.0906633143977482[/C][/ROW]
[ROW][C]68[/C][C]0.897355400184913[/C][C]0.205289199630175[/C][C]0.102644599815087[/C][/ROW]
[ROW][C]69[/C][C]0.967878927835111[/C][C]0.064242144329779[/C][C]0.0321210721648895[/C][/ROW]
[ROW][C]70[/C][C]0.979913836859593[/C][C]0.0401723262808131[/C][C]0.0200861631404065[/C][/ROW]
[ROW][C]71[/C][C]0.976542313174636[/C][C]0.0469153736507285[/C][C]0.0234576868253642[/C][/ROW]
[ROW][C]72[/C][C]0.971041307284231[/C][C]0.0579173854315389[/C][C]0.0289586927157695[/C][/ROW]
[ROW][C]73[/C][C]0.965197178264638[/C][C]0.0696056434707237[/C][C]0.0348028217353618[/C][/ROW]
[ROW][C]74[/C][C]0.959291875120099[/C][C]0.0814162497598014[/C][C]0.0407081248799007[/C][/ROW]
[ROW][C]75[/C][C]0.960976074096886[/C][C]0.0780478518062278[/C][C]0.0390239259031139[/C][/ROW]
[ROW][C]76[/C][C]0.96067866633605[/C][C]0.0786426673279001[/C][C]0.03932133366395[/C][/ROW]
[ROW][C]77[/C][C]0.966183731673743[/C][C]0.0676325366525146[/C][C]0.0338162683262573[/C][/ROW]
[ROW][C]78[/C][C]0.979646486972657[/C][C]0.0407070260546855[/C][C]0.0203535130273428[/C][/ROW]
[ROW][C]79[/C][C]0.978783661028181[/C][C]0.0424326779436375[/C][C]0.0212163389718188[/C][/ROW]
[ROW][C]80[/C][C]0.988160599984432[/C][C]0.0236788000311366[/C][C]0.0118394000155683[/C][/ROW]
[ROW][C]81[/C][C]0.985089368033575[/C][C]0.0298212639328498[/C][C]0.0149106319664249[/C][/ROW]
[ROW][C]82[/C][C]0.983290295664626[/C][C]0.0334194086707485[/C][C]0.0167097043353742[/C][/ROW]
[ROW][C]83[/C][C]0.980097736246554[/C][C]0.039804527506891[/C][C]0.0199022637534455[/C][/ROW]
[ROW][C]84[/C][C]0.97831444077028[/C][C]0.0433711184594397[/C][C]0.0216855592297199[/C][/ROW]
[ROW][C]85[/C][C]0.976050878226374[/C][C]0.047898243547251[/C][C]0.0239491217736255[/C][/ROW]
[ROW][C]86[/C][C]0.971237176937924[/C][C]0.0575256461241522[/C][C]0.0287628230620761[/C][/ROW]
[ROW][C]87[/C][C]0.972957431831376[/C][C]0.0540851363372482[/C][C]0.0270425681686241[/C][/ROW]
[ROW][C]88[/C][C]0.967995423032632[/C][C]0.0640091539347363[/C][C]0.0320045769673682[/C][/ROW]
[ROW][C]89[/C][C]0.961458721367819[/C][C]0.0770825572643619[/C][C]0.038541278632181[/C][/ROW]
[ROW][C]90[/C][C]0.95841466792454[/C][C]0.083170664150921[/C][C]0.0415853320754605[/C][/ROW]
[ROW][C]91[/C][C]0.952901423508942[/C][C]0.0941971529821169[/C][C]0.0470985764910584[/C][/ROW]
[ROW][C]92[/C][C]0.981505396041067[/C][C]0.0369892079178658[/C][C]0.0184946039589329[/C][/ROW]
[ROW][C]93[/C][C]0.978915564940504[/C][C]0.0421688701189929[/C][C]0.0210844350594965[/C][/ROW]
[ROW][C]94[/C][C]0.974291615454291[/C][C]0.0514167690914173[/C][C]0.0257083845457086[/C][/ROW]
[ROW][C]95[/C][C]0.96975201815315[/C][C]0.0604959636937004[/C][C]0.0302479818468502[/C][/ROW]
[ROW][C]96[/C][C]0.969566051448443[/C][C]0.0608678971031145[/C][C]0.0304339485515573[/C][/ROW]
[ROW][C]97[/C][C]0.989597099967599[/C][C]0.0208058000648015[/C][C]0.0104029000324007[/C][/ROW]
[ROW][C]98[/C][C]0.987073509999121[/C][C]0.0258529800017575[/C][C]0.0129264900008787[/C][/ROW]
[ROW][C]99[/C][C]0.98795023269322[/C][C]0.02409953461356[/C][C]0.01204976730678[/C][/ROW]
[ROW][C]100[/C][C]0.985048725352466[/C][C]0.0299025492950676[/C][C]0.0149512746475338[/C][/ROW]
[ROW][C]101[/C][C]0.982126616211279[/C][C]0.0357467675774421[/C][C]0.017873383788721[/C][/ROW]
[ROW][C]102[/C][C]0.978467203837081[/C][C]0.0430655923258387[/C][C]0.0215327961629193[/C][/ROW]
[ROW][C]103[/C][C]0.975080937207087[/C][C]0.0498381255858257[/C][C]0.0249190627929129[/C][/ROW]
[ROW][C]104[/C][C]0.970366190325611[/C][C]0.059267619348778[/C][C]0.029633809674389[/C][/ROW]
[ROW][C]105[/C][C]0.968478914113425[/C][C]0.0630421717731498[/C][C]0.0315210858865749[/C][/ROW]
[ROW][C]106[/C][C]0.974378908774471[/C][C]0.0512421824510588[/C][C]0.0256210912255294[/C][/ROW]
[ROW][C]107[/C][C]0.991686058829171[/C][C]0.0166278823416586[/C][C]0.00831394117082929[/C][/ROW]
[ROW][C]108[/C][C]0.990020690185576[/C][C]0.0199586196288479[/C][C]0.00997930981442396[/C][/ROW]
[ROW][C]109[/C][C]0.998904256330022[/C][C]0.00219148733995556[/C][C]0.00109574366997778[/C][/ROW]
[ROW][C]110[/C][C]0.99907721932748[/C][C]0.00184556134504027[/C][C]0.000922780672520136[/C][/ROW]
[ROW][C]111[/C][C]0.998950158545685[/C][C]0.00209968290862943[/C][C]0.00104984145431472[/C][/ROW]
[ROW][C]112[/C][C]0.999425662666392[/C][C]0.00114867466721544[/C][C]0.000574337333607718[/C][/ROW]
[ROW][C]113[/C][C]0.999282417777911[/C][C]0.00143516444417767[/C][C]0.000717582222088834[/C][/ROW]
[ROW][C]114[/C][C]0.999271664190675[/C][C]0.00145667161864973[/C][C]0.000728335809324863[/C][/ROW]
[ROW][C]115[/C][C]0.999054630041864[/C][C]0.00189073991627238[/C][C]0.000945369958136192[/C][/ROW]
[ROW][C]116[/C][C]0.998775406684486[/C][C]0.00244918663102729[/C][C]0.00122459331551365[/C][/ROW]
[ROW][C]117[/C][C]0.998636495186704[/C][C]0.00272700962659273[/C][C]0.00136350481329636[/C][/ROW]
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[ROW][C]156[/C][C]0.999974790710628[/C][C]5.04185787436945e-05[/C][C]2.52092893718473e-05[/C][/ROW]
[ROW][C]157[/C][C]0.999975610072303[/C][C]4.87798553941027e-05[/C][C]2.43899276970513e-05[/C][/ROW]
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[ROW][C]165[/C][C]0.999973422285103[/C][C]5.31554297946672e-05[/C][C]2.65777148973336e-05[/C][/ROW]
[ROW][C]166[/C][C]0.99997202878112[/C][C]5.59424377598919e-05[/C][C]2.7971218879946e-05[/C][/ROW]
[ROW][C]167[/C][C]0.999970572288105[/C][C]5.88554237902692e-05[/C][C]2.94277118951346e-05[/C][/ROW]
[ROW][C]168[/C][C]0.99996737313931[/C][C]6.52537213793665e-05[/C][C]3.26268606896833e-05[/C][/ROW]
[ROW][C]169[/C][C]0.999954615784958[/C][C]9.07684300837505e-05[/C][C]4.53842150418753e-05[/C][/ROW]
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[ROW][C]171[/C][C]0.999976183460919[/C][C]4.76330781616433e-05[/C][C]2.38165390808217e-05[/C][/ROW]
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[ROW][C]187[/C][C]0.999991486134004[/C][C]1.70277319927102e-05[/C][C]8.5138659963551e-06[/C][/ROW]
[ROW][C]188[/C][C]0.999996101222699[/C][C]7.79755460157186e-06[/C][C]3.89877730078593e-06[/C][/ROW]
[ROW][C]189[/C][C]0.999994459458476[/C][C]1.10810830487798e-05[/C][C]5.54054152438991e-06[/C][/ROW]
[ROW][C]190[/C][C]0.999999697180283[/C][C]6.05639434793483e-07[/C][C]3.02819717396741e-07[/C][/ROW]
[ROW][C]191[/C][C]0.999999575691136[/C][C]8.48617727374243e-07[/C][C]4.24308863687121e-07[/C][/ROW]
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[ROW][C]194[/C][C]0.999999243399823[/C][C]1.51320035434009e-06[/C][C]7.56600177170045e-07[/C][/ROW]
[ROW][C]195[/C][C]0.999998889194548[/C][C]2.22161090384734e-06[/C][C]1.11080545192367e-06[/C][/ROW]
[ROW][C]196[/C][C]0.999999027054002[/C][C]1.94589199561481e-06[/C][C]9.72945997807405e-07[/C][/ROW]
[ROW][C]197[/C][C]0.999998835627313[/C][C]2.32874537486362e-06[/C][C]1.16437268743181e-06[/C][/ROW]
[ROW][C]198[/C][C]0.999998725586557[/C][C]2.5488268852295e-06[/C][C]1.27441344261475e-06[/C][/ROW]
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[ROW][C]204[/C][C]0.999998463242947[/C][C]3.073514106829e-06[/C][C]1.5367570534145e-06[/C][/ROW]
[ROW][C]205[/C][C]0.999997499000347[/C][C]5.00199930650272e-06[/C][C]2.50099965325136e-06[/C][/ROW]
[ROW][C]206[/C][C]0.999998346368929[/C][C]3.30726214246919e-06[/C][C]1.6536310712346e-06[/C][/ROW]
[ROW][C]207[/C][C]0.99999740764616[/C][C]5.18470768027047e-06[/C][C]2.59235384013524e-06[/C][/ROW]
[ROW][C]208[/C][C]0.99999718615406[/C][C]5.62769187972656e-06[/C][C]2.81384593986328e-06[/C][/ROW]
[ROW][C]209[/C][C]0.999995474939306[/C][C]9.05012138808459e-06[/C][C]4.5250606940423e-06[/C][/ROW]
[ROW][C]210[/C][C]0.999996231415335[/C][C]7.53716933080234e-06[/C][C]3.76858466540117e-06[/C][/ROW]
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[ROW][C]220[/C][C]0.999994192309384[/C][C]1.16153812315042e-05[/C][C]5.8076906157521e-06[/C][/ROW]
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[ROW][C]254[/C][C]0.999468220040647[/C][C]0.00106355991870558[/C][C]0.000531779959352792[/C][/ROW]
[ROW][C]255[/C][C]0.999286796253356[/C][C]0.00142640749328759[/C][C]0.000713203746643795[/C][/ROW]
[ROW][C]256[/C][C]0.99896213435817[/C][C]0.00207573128366031[/C][C]0.00103786564183015[/C][/ROW]
[ROW][C]257[/C][C]0.998329951588422[/C][C]0.00334009682315676[/C][C]0.00167004841157838[/C][/ROW]
[ROW][C]258[/C][C]0.997228546236405[/C][C]0.0055429075271899[/C][C]0.00277145376359495[/C][/ROW]
[ROW][C]259[/C][C]0.996677228458667[/C][C]0.00664554308266588[/C][C]0.00332277154133294[/C][/ROW]
[ROW][C]260[/C][C]0.994607824852113[/C][C]0.0107843502957744[/C][C]0.00539217514788721[/C][/ROW]
[ROW][C]261[/C][C]0.99659026036429[/C][C]0.00681947927141948[/C][C]0.00340973963570974[/C][/ROW]
[ROW][C]262[/C][C]0.994710877345822[/C][C]0.010578245308356[/C][C]0.005289122654178[/C][/ROW]
[ROW][C]263[/C][C]0.991431321364717[/C][C]0.017137357270566[/C][C]0.00856867863528302[/C][/ROW]
[ROW][C]264[/C][C]0.986811932470098[/C][C]0.0263761350598044[/C][C]0.0131880675299022[/C][/ROW]
[ROW][C]265[/C][C]0.979580613711859[/C][C]0.0408387725762814[/C][C]0.0204193862881407[/C][/ROW]
[ROW][C]266[/C][C]0.968994368180587[/C][C]0.0620112636388254[/C][C]0.0310056318194127[/C][/ROW]
[ROW][C]267[/C][C]0.960182223794775[/C][C]0.0796355524104501[/C][C]0.0398177762052251[/C][/ROW]
[ROW][C]268[/C][C]0.943286086673096[/C][C]0.113427826653807[/C][C]0.0567139133269036[/C][/ROW]
[ROW][C]269[/C][C]0.918059747320377[/C][C]0.163880505359247[/C][C]0.0819402526796234[/C][/ROW]
[ROW][C]270[/C][C]0.889932236972455[/C][C]0.22013552605509[/C][C]0.110067763027545[/C][/ROW]
[ROW][C]271[/C][C]0.844675905645219[/C][C]0.310648188709563[/C][C]0.155324094354781[/C][/ROW]
[ROW][C]272[/C][C]0.796114830920771[/C][C]0.407770338158457[/C][C]0.203885169079229[/C][/ROW]
[ROW][C]273[/C][C]0.942566363508433[/C][C]0.114867272983135[/C][C]0.0574336364915674[/C][/ROW]
[ROW][C]274[/C][C]0.954103789034871[/C][C]0.0917924219302574[/C][C]0.0458962109651287[/C][/ROW]
[ROW][C]275[/C][C]0.924023762565287[/C][C]0.151952474869427[/C][C]0.0759762374347134[/C][/ROW]
[ROW][C]276[/C][C]0.91785619090756[/C][C]0.164287618184881[/C][C]0.0821438090924405[/C][/ROW]
[ROW][C]277[/C][C]0.86132051503989[/C][C]0.27735896992022[/C][C]0.13867948496011[/C][/ROW]
[ROW][C]278[/C][C]0.80332352141798[/C][C]0.393352957164041[/C][C]0.19667647858202[/C][/ROW]
[ROW][C]279[/C][C]0.697270509679389[/C][C]0.605458980641222[/C][C]0.302729490320611[/C][/ROW]
[ROW][C]280[/C][C]0.576173781722617[/C][C]0.847652436554766[/C][C]0.423826218277383[/C][/ROW]
[ROW][C]281[/C][C]0.449192413658588[/C][C]0.898384827317176[/C][C]0.550807586341412[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201003&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201003&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
80.6328614360130660.7342771279738690.367138563986934
90.4716054331481830.9432108662963670.528394566851817
100.4116960779469860.8233921558939720.588303922053014
110.2881500972980880.5763001945961770.711849902701912
120.7862698525355390.4274602949289210.213730147464461
130.8567659789555430.2864680420889140.143234021044457
140.8158680939533930.3682638120932150.184131906046607
150.8594342084820490.2811315830359020.140565791517951
160.8158119195910750.368376160817850.184188080408925
170.7842333042581150.431533391483770.215766695741885
180.8621563510128910.2756872979742170.137843648987109
190.8221812195342180.3556375609315640.177818780465782
200.90899604226650.1820079154670.0910039577335002
210.877678367794410.2446432644111790.12232163220559
220.8436723268365420.3126553463269150.156327673163458
230.8011181857328830.3977636285342350.198881814267118
240.7557526736539090.4884946526921810.244247326346091
250.7596802936917160.4806394126165680.240319706308284
260.7174043501049350.5651912997901310.282595649895065
270.6631368085049890.6737263829900220.336863191495011
280.6048854200717120.7902291598565760.395114579928288
290.5586992779993850.882601444001230.441300722000615
300.5091259159468250.981748168106350.490874084053175
310.4499615050883190.8999230101766390.550038494911681
320.3928948012977720.7857896025955440.607105198702228
330.7104192553204090.5791614893591830.289580744679591
340.7128093625072120.5743812749855750.287190637492788
350.6897090164913090.6205819670173820.310290983508691
360.6518174559160310.6963650881679380.348182544083969
370.7471261005028680.5057477989942650.252873899497133
380.7128013070864430.5743973858271130.287198692913557
390.6818356410720960.6363287178558080.318164358927904
400.8768863165619680.2462273668760640.123113683438032
410.8515898608656290.2968202782687410.148410139134371
420.8553273068536240.2893453862927520.144672693146376
430.844144338307030.311711323385940.15585566169297
440.8157721773287950.3684556453424090.184227822671205
450.7919784083424190.4160431833151620.208021591657581
460.822758226409960.3544835471800810.17724177359004
470.81320355939310.37359288121380.1867964406069
480.78144681724330.4371063655133990.2185531827567
490.7711648549086090.4576702901827820.228835145091391
500.8832249520696320.2335500958607370.116775047930368
510.8747518237566860.2504963524866280.125248176243314
520.8769408747205910.2461182505588180.123059125279409
530.8818752790991230.2362494418017530.118124720900877
540.8608812057446230.2782375885107540.139118794255377
550.8427877746136010.3144244507727980.157212225386399
560.8187884403562510.3624231192874980.181211559643749
570.8726495956954470.2547008086091050.127350404304553
580.8536096816589730.2927806366820540.146390318341027
590.8309802750009780.3380394499980440.169019724999022
600.8293102706160320.3413794587679350.170689729383968
610.8047878588529750.390424282294050.195212141147025
620.7893113800435750.4213772399128490.210688619956425
630.9327726431363020.1344547137273950.0672273568636975
640.9214548130821840.1570903738356330.0785451869178164
650.9342858069601460.1314283860797080.0657141930398541
660.9238252987794720.1523494024410560.0761747012205279
670.9093366856022520.1813266287954960.0906633143977482
680.8973554001849130.2052891996301750.102644599815087
690.9678789278351110.0642421443297790.0321210721648895
700.9799138368595930.04017232628081310.0200861631404065
710.9765423131746360.04691537365072850.0234576868253642
720.9710413072842310.05791738543153890.0289586927157695
730.9651971782646380.06960564347072370.0348028217353618
740.9592918751200990.08141624975980140.0407081248799007
750.9609760740968860.07804785180622780.0390239259031139
760.960678666336050.07864266732790010.03932133366395
770.9661837316737430.06763253665251460.0338162683262573
780.9796464869726570.04070702605468550.0203535130273428
790.9787836610281810.04243267794363750.0212163389718188
800.9881605999844320.02367880003113660.0118394000155683
810.9850893680335750.02982126393284980.0149106319664249
820.9832902956646260.03341940867074850.0167097043353742
830.9800977362465540.0398045275068910.0199022637534455
840.978314440770280.04337111845943970.0216855592297199
850.9760508782263740.0478982435472510.0239491217736255
860.9712371769379240.05752564612415220.0287628230620761
870.9729574318313760.05408513633724820.0270425681686241
880.9679954230326320.06400915393473630.0320045769673682
890.9614587213678190.07708255726436190.038541278632181
900.958414667924540.0831706641509210.0415853320754605
910.9529014235089420.09419715298211690.0470985764910584
920.9815053960410670.03698920791786580.0184946039589329
930.9789155649405040.04216887011899290.0210844350594965
940.9742916154542910.05141676909141730.0257083845457086
950.969752018153150.06049596369370040.0302479818468502
960.9695660514484430.06086789710311450.0304339485515573
970.9895970999675990.02080580006480150.0104029000324007
980.9870735099991210.02585298000175750.0129264900008787
990.987950232693220.024099534613560.01204976730678
1000.9850487253524660.02990254929506760.0149512746475338
1010.9821266162112790.03574676757744210.017873383788721
1020.9784672038370810.04306559232583870.0215327961629193
1030.9750809372070870.04983812558582570.0249190627929129
1040.9703661903256110.0592676193487780.029633809674389
1050.9684789141134250.06304217177314980.0315210858865749
1060.9743789087744710.05124218245105880.0256210912255294
1070.9916860588291710.01662788234165860.00831394117082929
1080.9900206901855760.01995861962884790.00997930981442396
1090.9989042563300220.002191487339955560.00109574366997778
1100.999077219327480.001845561345040270.000922780672520136
1110.9989501585456850.002099682908629430.00104984145431472
1120.9994256626663920.001148674667215440.000574337333607718
1130.9992824177779110.001435164444177670.000717582222088834
1140.9992716641906750.001456671618649730.000728335809324863
1150.9990546300418640.001890739916272380.000945369958136192
1160.9987754066844860.002449186631027290.00122459331551365
1170.9986364951867040.002727009626592730.00136350481329636
1180.9989812203674060.002037559265188750.00101877963259438
1190.9992882097930130.001423580413973880.000711790206986942
1200.999194871572470.001610256855060340.00080512842753017
1210.9990371561630850.001925687673829910.000962843836914956
1220.9989781857082640.002043628583472920.00102181429173646
1230.9990331153519990.001933769296001960.00096688464800098
1240.9988820529702960.002235894059407980.00111794702970399
1250.9985295488948070.002940902210385610.00147045110519281
1260.9987682576680120.002463484663976030.00123174233198802
1270.9989247489949990.002150502010001980.00107525100500099
1280.9986235271438430.002752945712313670.00137647285615684
1290.9985514922185070.0028970155629850.0014485077814925
1300.9992856629612430.001428674077513770.000714337038756887
1310.999177966985110.001644066029780310.000822033014890155
1320.9990383491023340.001923301795332370.000961650897666184
1330.998960945770.002078108460000340.00103905423000017
1340.9988041565333090.00239168693338140.0011958434666907
1350.9995411988183960.0009176023632076880.000458801181603844
1360.9995101122232930.0009797755534142720.000489887776707136
1370.9997522003618270.0004955992763454950.000247799638172747
1380.9997520982901990.0004958034196011580.000247901709800579
1390.9996831235887110.0006337528225771440.000316876411288572
1400.9996643630364180.0006712739271639360.000335636963581968
1410.9995615066044620.0008769867910753160.000438493395537658
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1430.9994328253120920.001134349375815390.000567174687907697
1440.9992377759549840.001524448090031080.00076222404501554
1450.999498278679680.001003442640640360.000501721320320179
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1470.9997803560745050.0004392878509893850.000219643925494693
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1490.9996775577578910.0006448844842173340.000322442242108667
1500.9997670548802790.0004658902394411590.00023294511972058
1510.9998290321924740.0003419356150525010.000170967807526251
1520.9999874831157962.5033768408415e-051.25168842042075e-05
1530.9999864454616942.71090766119378e-051.35545383059689e-05
1540.9999805354432443.89291135122883e-051.94645567561442e-05
1550.999971945372535.61092549406922e-052.80546274703461e-05
1560.9999747907106285.04185787436945e-052.52092893718473e-05
1570.9999756100723034.87798553941027e-052.43899276970513e-05
1580.9999748007367435.03985265129036e-052.51992632564518e-05
1590.9999835041681183.2991663764728e-051.6495831882364e-05
1600.9999760073653784.79852692444588e-052.39926346222294e-05
1610.9999653161572296.93676855416136e-053.46838427708068e-05
1620.9999660588124856.78823750302338e-053.39411875151169e-05
1630.9999628825611097.42348777813794e-053.71174388906897e-05
1640.9999607391918477.85216163066504e-053.92608081533252e-05
1650.9999734222851035.31554297946672e-052.65777148973336e-05
1660.999972028781125.59424377598919e-052.7971218879946e-05
1670.9999705722881055.88554237902692e-052.94277118951346e-05
1680.999967373139316.52537213793665e-053.26268606896833e-05
1690.9999546157849589.07684300837505e-054.53842150418753e-05
1700.9999781421465334.37157069335832e-052.18578534667916e-05
1710.9999761834609194.76330781616433e-052.38165390808217e-05
1720.9999672747977616.5450404477e-053.27252022385e-05
1730.9999538467465749.23065068521695e-054.61532534260847e-05
1740.9999407300793220.0001185398413566715.92699206783356e-05
1750.9999508050477369.83899045284749e-054.91949522642375e-05
1760.9999532167189329.35665621351563e-054.67832810675781e-05
1770.9999355246479610.0001289507040789546.44753520394769e-05
1780.9999126663465690.0001746673068618178.73336534309086e-05
1790.9998864261903290.0002271476193416560.000113573809670828
1800.9998967250472880.0002065499054244820.000103274952712241
1810.9999528172801999.43654396023297e-054.71827198011648e-05
1820.9999396379124230.0001207241751548656.03620875774324e-05
1830.9999679455414276.41089171459022e-053.20544585729511e-05
1840.999968264064696.34718706194861e-053.1735935309743e-05
1850.9999791318482384.17363035231927e-052.08681517615964e-05
1860.999990070795441.98584091206849e-059.92920456034245e-06
1870.9999914861340041.70277319927102e-058.5138659963551e-06
1880.9999961012226997.79755460157186e-063.89877730078593e-06
1890.9999944594584761.10810830487798e-055.54054152438991e-06
1900.9999996971802836.05639434793483e-073.02819717396741e-07
1910.9999995756911368.48617727374243e-074.24308863687121e-07
1920.9999993285692011.34286159832705e-066.71430799163525e-07
1930.9999994431966941.11360661184515e-065.56803305922574e-07
1940.9999992433998231.51320035434009e-067.56600177170045e-07
1950.9999988891945482.22161090384734e-061.11080545192367e-06
1960.9999990270540021.94589199561481e-069.72945997807405e-07
1970.9999988356273132.32874537486362e-061.16437268743181e-06
1980.9999987255865572.5488268852295e-061.27441344261475e-06
1990.9999980471019793.90579604159908e-061.95289802079954e-06
2000.9999970638621345.87227573155998e-062.93613786577999e-06
2010.9999954475799179.10484016562986e-064.55242008281493e-06
2020.9999991616819261.67663614874835e-068.38318074374174e-07
2030.9999989669037322.06619253634515e-061.03309626817257e-06
2040.9999984632429473.073514106829e-061.5367570534145e-06
2050.9999974990003475.00199930650272e-062.50099965325136e-06
2060.9999983463689293.30726214246919e-061.6536310712346e-06
2070.999997407646165.18470768027047e-062.59235384013524e-06
2080.999997186154065.62769187972656e-062.81384593986328e-06
2090.9999954749393069.05012138808459e-064.5250606940423e-06
2100.9999962314153357.53716933080234e-063.76858466540117e-06
2110.9999976620523574.67589528524213e-062.33794764262107e-06
2120.9999962293576847.54128463266329e-063.77064231633165e-06
2130.9999951104521749.77909565253004e-064.88954782626502e-06
2140.9999924952142671.50095714664297e-057.50478573321485e-06
2150.9999956211759838.75764803428393e-064.37882401714197e-06
2160.9999986694584332.66108313339782e-061.33054156669891e-06
2170.999997907360254.18527949962689e-062.09263974981344e-06
2180.999997156405625.6871887593905e-062.84359437969525e-06
2190.9999958295297428.34094051692892e-064.17047025846446e-06
2200.9999941923093841.16153812315042e-055.8076906157521e-06
2210.9999949073366371.01853267253272e-055.09266336266362e-06
2220.9999920950366591.58099266817597e-057.90496334087985e-06
2230.9999896747003112.06505993782919e-051.03252996891459e-05
2240.9999860241128252.79517743509383e-051.39758871754691e-05
2250.9999911904082061.76191835884083e-058.80959179420415e-06
2260.9999970613753015.87724939790641e-062.93862469895321e-06
2270.9999994776676011.04466479870123e-065.22332399350613e-07
2280.9999991032457961.79350840747775e-068.96754203738876e-07
2290.9999985434035182.91319296381267e-061.45659648190634e-06
2300.9999980276346123.9447307753128e-061.9723653876564e-06
2310.9999988806386122.23872277560556e-061.11936138780278e-06
2320.9999984105258293.17894834127408e-061.58947417063704e-06
2330.9999976889419964.6221160089023e-062.31105800445115e-06
2340.9999964478618967.10427620703891e-063.55213810351946e-06
2350.9999956206143468.7587713089322e-064.3793856544661e-06
2360.999994389285891.12214282200957e-055.61071411004786e-06
2370.9999900158353111.99683293772135e-059.98416468860676e-06
2380.9999918464325081.63071349835709e-058.15356749178543e-06
2390.9999853717284252.92565431503128e-051.46282715751564e-05
2400.9999869483503612.61032992776318e-051.30516496388159e-05
2410.9999777685186154.44629627706491e-052.22314813853246e-05
2420.9999606318095387.87363809241875e-053.93681904620938e-05
2430.9999443102366670.0001113795266667185.56897633333592e-05
2440.9999154963269220.0001690073461559598.45036730779793e-05
2450.9998551942047150.0002896115905709160.000144805795285458
2460.999764427766840.0004711444663190230.000235572233159512
2470.9998149662805490.0003700674389017120.000185033719450856
2480.9996932838033170.0006134323933660370.000306716196683018
2490.999813869851760.0003722602964801510.000186130148240076
2500.9998113124620760.0003773750758482370.000188687537924119
2510.9997777783606590.0004444432786820680.000222221639341034
2520.9996148202388750.0007703595222489890.000385179761124495
2530.9996919623319420.0006160753361155150.000308037668057758
2540.9994682200406470.001063559918705580.000531779959352792
2550.9992867962533560.001426407493287590.000713203746643795
2560.998962134358170.002075731283660310.00103786564183015
2570.9983299515884220.003340096823156760.00167004841157838
2580.9972285462364050.00554290752718990.00277145376359495
2590.9966772284586670.006645543082665880.00332277154133294
2600.9946078248521130.01078435029577440.00539217514788721
2610.996590260364290.006819479271419480.00340973963570974
2620.9947108773458220.0105782453083560.005289122654178
2630.9914313213647170.0171373572705660.00856867863528302
2640.9868119324700980.02637613505980440.0131880675299022
2650.9795806137118590.04083877257628140.0204193862881407
2660.9689943681805870.06201126363882540.0310056318194127
2670.9601822237947750.07963555241045010.0398177762052251
2680.9432860866730960.1134278266538070.0567139133269036
2690.9180597473203770.1638805053592470.0819402526796234
2700.8899322369724550.220135526055090.110067763027545
2710.8446759056452190.3106481887095630.155324094354781
2720.7961148309207710.4077703381584570.203885169079229
2730.9425663635084330.1148672729831350.0574336364915674
2740.9541037890348710.09179242193025740.0458962109651287
2750.9240237625652870.1519524748694270.0759762374347134
2760.917856190907560.1642876181848810.0821438090924405
2770.861320515039890.277358969920220.13867948496011
2780.803323521417980.3933529571640410.19667647858202
2790.6972705096793890.6054589806412220.302729490320611
2800.5761737817226170.8476524365547660.423826218277383
2810.4491924136585880.8983848273171760.550807586341412






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1520.554744525547445NOK
5% type I error level1780.64963503649635NOK
10% type I error level2000.72992700729927NOK

\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 & 152 & 0.554744525547445 & NOK \tabularnewline
5% type I error level & 178 & 0.64963503649635 & NOK \tabularnewline
10% type I error level & 200 & 0.72992700729927 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201003&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]152[/C][C]0.554744525547445[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]178[/C][C]0.64963503649635[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]200[/C][C]0.72992700729927[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201003&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201003&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 level1520.554744525547445NOK
5% type I error level1780.64963503649635NOK
10% type I error level2000.72992700729927NOK


Figures (Output of Computation)

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Input Parameters & R Code

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