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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 computationSun, 18 Jan 2015 14:08:08 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Jan/18/t14215901072v9sx46d3bfwvm5.htm/, Retrieved Tue, 14 May 2024 21:02:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=274203, Retrieved Tue, 14 May 2024 21:02:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact65

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2015-01-18 14:08:08] [f633ea27315d6f1e6f0507550fedafff] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
41 38 13 12 12 53
39 32 16 11 11 83
30 35 19 15 14 66
31 33 15 6 12 67
34 37 14 13 21 76
35 29 13 10 12 78
39 31 19 12 22 53
34 36 15 14 11 80
36 35 14 12 10 74
37 38 15 9 13 76
38 31 16 10 10 79
36 34 16 12 8 54
38 35 16 12 15 67
39 38 16 11 14 54
33 37 17 15 10 87
32 33 15 12 14 58
36 32 15 10 14 75
38 38 20 12 11 88
39 38 18 11 10 64
32 32 16 12 13 57
32 33 16 11 9.5 66
31 31 16 12 14 68
39 38 19 13 12 54
37 39 16 11 14 56
39 32 17 12 11 86
41 32 17 13 9 80
36 35 16 10 11 76
33 37 15 14 15 69
33 33 16 12 14 78
34 33 14 10 13 67
31 31 15 12 9 80
27 32 12 8 15 54
37 31 14 10 10 71
34 37 16 12 11 84
34 30 14 12 13 74
32 33 10 7 8 71
29 31 10 9 20 63
36 33 14 12 12 71
29 31 16 10 10 76
35 33 16 10 10 69
37 32 16 10 9 74
34 33 14 12 14 75
38 32 20 15 8 54
35 33 14 10 14 52
38 28 14 10 11 69
37 35 11 12 13 68
38 39 14 13 9 65
33 34 15 11 11 75
36 38 16 11 15 74
38 32 14 12 11 75
32 38 16 14 10 72
32 30 14 10 14 67
32 33 12 12 18 63
34 38 16 13 14 62
32 32 9 5 11 63
37 35 14 6 14.5 76
39 34 16 12 13 74
29 34 16 12 9 67
37 36 15 11 10 73
35 34 16 10 15 70
30 28 12 7 20 53
38 34 16 12 12 77
34 35 16 14 12 80
31 35 14 11 14 52
34 31 16 12 13 54
35 37 17 13 11 80
36 35 18 14 17 66
30 27 18 11 12 73
39 40 12 12 13 63
35 37 16 12 14 69
38 36 10 8 13 67
31 38 14 11 15 54
34 39 18 14 13 81
38 41 18 14 10 69
34 27 16 12 11 84
39 30 17 9 19 80
37 37 16 13 13 70
34 31 16 11 17 69
28 31 13 12 13 77
37 27 16 12 9 54
33 36 16 12 11 79
35 37 16 12 9 71
37 33 15 12 12 73
32 34 15 11 12 72
33 31 16 10 13 77
38 39 14 9 13 75
33 34 16 12 12 69
29 32 16 12 15 54
33 33 15 12 22 70
31 36 12 9 13 73
36 32 17 15 15 54
35 41 16 12 13 77
32 28 15 12 15 82
29 30 13 12 12.5 80
39 36 16 10 11 80
37 35 16 13 16 69
35 31 16 9 11 78
37 34 16 12 11 81
32 36 14 10 10 76
38 36 16 14 10 76
37 35 16 11 16 73
36 37 20 15 12 85
32 28 15 11 11 66
33 39 16 11 16 79
40 32 13 12 19 68
38 35 17 12 11 76
41 39 16 12 16 71
36 35 16 11 15 54
43 42 12 7 24 46
30 34 16 12 14 85
31 33 16 14 15 74
32 41 17 11 11 88
32 33 13 11 15 38
37 34 12 10 12 76
37 32 18 13 10 86
33 40 14 13 14 54
34 40 14 8 13 67
33 35 13 11 9 69
38 36 16 12 15 90
33 37 13 11 15 54
31 27 16 13 14 76
38 39 13 12 11 89
37 38 16 14 8 76
36 31 15 13 11 73
31 33 16 15 11 79
39 32 15 10 8 90
44 39 17 11 10 74
33 36 15 9 11 81
35 33 12 11 13 72
32 33 16 10 11 71
28 32 10 11 20 66
40 37 16 8 10 77
27 30 12 11 15 65
37 38 14 12 12 74
32 29 15 12 14 85
28 22 13 9 23 54
34 35 15 11 14 63
30 35 11 10 16 54
35 34 12 8 11 64
31 35 11 9 12 69
32 34 16 8 10 54
30 37 15 9 14 84
30 35 17 15 12 86
31 23 16 11 12 77
40 31 10 8 11 89
32 27 18 13 12 76
36 36 13 12 13 60
32 31 16 12 11 75
35 32 13 9 19 73
38 39 10 7 12 85
42 37 15 13 17 79
34 38 16 9 9 71
35 39 16 6 12 72
38 34 14 8 19 69
33 31 10 8 18 78
36 32 17 15 15 54
32 37 13 6 14 69
33 36 15 9 11 81
34 32 16 11 9 84
32 38 12 8 18 84
34 36 13 8 16 69
27 26 13 10 24 66
31 26 12 8 14 81
38 33 17 14 20 82
34 39 15 10 18 72
24 30 10 8 23 54
30 33 14 11 12 78
26 25 11 12 14 74
34 38 13 12 16 82
27 37 16 12 18 73
37 31 12 5 20 55
36 37 16 12 12 72
41 35 12 10 12 78
29 25 9 7 17 59
36 28 12 12 13 72
32 35 15 11 9 78
37 33 12 8 16 68
30 30 12 9 18 69
31 31 14 10 10 67
38 37 12 9 14 74
36 36 16 12 11 54
35 30 11 6 9 67
31 36 19 15 11 70
38 32 15 12 10 80
22 28 8 12 11 89
32 36 16 12 19 76
36 34 17 11 14 74
39 31 12 7 12 87
28 28 11 7 14 54
32 36 11 5 21 61
32 36 14 12 13 38
38 40 16 12 10 75
32 33 12 3 15 69
35 37 16 11 16 62
32 32 13 10 14 72
37 38 15 12 12 70
34 31 16 9 19 79
33 37 16 12 15 87
33 33 14 9 19 62
26 32 16 12 13 77
30 30 16 12 17 69
24 30 14 10 12 69
34 31 11 9 11 75
34 32 12 12 14 54
33 34 15 8 11 72
34 36 15 11 13 74
35 37 16 11 12 85
35 36 16 12 15 52
36 33 11 10 14 70
34 33 15 10 12 84
34 33 12 12 17 64
41 44 12 12 11 84
32 39 15 11 18 87
30 32 15 8 13 79
35 35 16 12 17 67
28 25 14 10 13 65
33 35 17 11 11 85
39 34 14 10 12 83
36 35 13 8 22 61
36 39 15 12 14 82
35 33 13 12 12 76
38 36 14 10 12 58
33 32 15 12 17 72
31 32 12 9 9 72
34 36 13 9 21 38
32 36 8 6 10 78
31 32 14 10 11 54
33 34 14 9 12 63
34 33 11 9 23 66
34 35 12 9 13 70
34 30 13 6 12 71
33 38 10 10 16 67
32 34 16 6 9 58
41 33 18 14 17 72
34 32 13 10 9 72
36 31 11 10 14 70
37 30 4 6 17 76
36 27 13 12 13 50
29 31 16 12 11 72
37 30 10 7 12 72
27 32 12 8 10 88
35 35 12 11 19 53
28 28 10 3 16 58
35 33 13 6 16 66
37 31 15 10 14 82
29 35 12 8 20 69
32 35 14 9 15 68
36 32 10 9 23 44
19 21 12 8 20 56
21 20 12 9 16 53
31 34 11 7 14 70
33 32 10 7 17 78
36 34 12 6 11 71
33 32 16 9 13 72
37 33 12 10 17 68
34 33 14 11 15 67
35 37 16 12 21 75
31 32 14 8 18 62
37 34 13 11 15 67
35 30 4 3 8 83
27 30 15 11 12 64
34 38 11 12 12 68
40 36 11 7 22 62
29 32 14 9 12 72

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 9 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=274203&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]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=274203&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=274203&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 time9 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Connected[t] = + 18.5187 + 0.432939Separate[t] + 0.106359Learning[t] -0.0760029Software[t] -0.0405458Depression[t] + 0.0225746Sport1[t] -0.00616317t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Connected[t] =  +  18.5187 +  0.432939Separate[t] +  0.106359Learning[t] -0.0760029Software[t] -0.0405458Depression[t] +  0.0225746Sport1[t] -0.00616317t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=274203&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Connected[t] =  +  18.5187 +  0.432939Separate[t] +  0.106359Learning[t] -0.0760029Software[t] -0.0405458Depression[t] +  0.0225746Sport1[t] -0.00616317t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=274203&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=274203&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
Connected[t] = + 18.5187 + 0.432939Separate[t] + 0.106359Learning[t] -0.0760029Software[t] -0.0405458Depression[t] + 0.0225746Sport1[t] -0.00616317t + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)18.51872.938636.3021.27116e-096.35582e-10
Separate0.4329390.05760777.5159.4384e-134.7192e-13
Learning0.1063590.1125410.94510.345510.172755
Software-0.07600290.115747-0.65660.5120080.256004
Depression-0.04054580.0654512-0.61950.5361480.268074
Sport10.02257460.0212651.0620.2894210.144711
t-0.006163170.00303111-2.0330.04304950.0215248

\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) & 18.5187 & 2.93863 & 6.302 & 1.27116e-09 & 6.35582e-10 \tabularnewline
Separate & 0.432939 & 0.0576077 & 7.515 & 9.4384e-13 & 4.7192e-13 \tabularnewline
Learning & 0.106359 & 0.112541 & 0.9451 & 0.34551 & 0.172755 \tabularnewline
Software & -0.0760029 & 0.115747 & -0.6566 & 0.512008 & 0.256004 \tabularnewline
Depression & -0.0405458 & 0.0654512 & -0.6195 & 0.536148 & 0.268074 \tabularnewline
Sport1 & 0.0225746 & 0.021265 & 1.062 & 0.289421 & 0.144711 \tabularnewline
t & -0.00616317 & 0.00303111 & -2.033 & 0.0430495 & 0.0215248 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=274203&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]18.5187[/C][C]2.93863[/C][C]6.302[/C][C]1.27116e-09[/C][C]6.35582e-10[/C][/ROW]
[ROW][C]Separate[/C][C]0.432939[/C][C]0.0576077[/C][C]7.515[/C][C]9.4384e-13[/C][C]4.7192e-13[/C][/ROW]
[ROW][C]Learning[/C][C]0.106359[/C][C]0.112541[/C][C]0.9451[/C][C]0.34551[/C][C]0.172755[/C][/ROW]
[ROW][C]Software[/C][C]-0.0760029[/C][C]0.115747[/C][C]-0.6566[/C][C]0.512008[/C][C]0.256004[/C][/ROW]
[ROW][C]Depression[/C][C]-0.0405458[/C][C]0.0654512[/C][C]-0.6195[/C][C]0.536148[/C][C]0.268074[/C][/ROW]
[ROW][C]Sport1[/C][C]0.0225746[/C][C]0.021265[/C][C]1.062[/C][C]0.289421[/C][C]0.144711[/C][/ROW]
[ROW][C]t[/C][C]-0.00616317[/C][C]0.00303111[/C][C]-2.033[/C][C]0.0430495[/C][C]0.0215248[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=274203&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=274203&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)18.51872.938636.3021.27116e-096.35582e-10
Separate0.4329390.05760777.5159.4384e-134.7192e-13
Learning0.1063590.1125410.94510.345510.172755
Software-0.07600290.115747-0.65660.5120080.256004
Depression-0.04054580.0654512-0.61950.5361480.268074
Sport10.02257460.0212651.0620.2894210.144711
t-0.006163170.00303111-2.0330.04304950.0215248






Multiple Linear Regression - Regression Statistics
Multiple R0.487047
R-squared0.237215
Adjusted R-squared0.219407
F-TEST (value)13.3206
F-TEST (DF numerator)6
F-TEST (DF denominator)257
p-value3.86691e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.35424
Sum Squared Residuals2891.48

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.487047 \tabularnewline
R-squared & 0.237215 \tabularnewline
Adjusted R-squared & 0.219407 \tabularnewline
F-TEST (value) & 13.3206 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 257 \tabularnewline
p-value & 3.86691e-13 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.35424 \tabularnewline
Sum Squared Residuals & 2891.48 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=274203&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.487047[/C][/ROW]
[ROW][C]R-squared[/C][C]0.237215[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.219407[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]13.3206[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]257[/C][/ROW]
[ROW][C]p-value[/C][C]3.86691e-13[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.35424[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2891.48[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=274203&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=274203&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 R0.487047
R-squared0.237215
Adjusted R-squared0.219407
F-TEST (value)13.3206
F-TEST (DF numerator)6
F-TEST (DF denominator)257
p-value3.86691e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.35424
Sum Squared Residuals2891.48






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
14136.14474.85526
23934.65384.34619
33035.4561-5.45613
43134.9463-3.94634
53435.8718-1.87181
63532.93392.06615
73933.30995.69011
83435.9465-1.9465
93635.45810.541861
103737.0087-0.00867175
113834.19173.80834
123634.8491.15097
133835.28552.71455
143936.40122.59881
153336.6716-3.67158
163234.1321-2.1321
173634.22881.77122
183837.61510.384859
193936.9712.02898
203233.7988-1.79884
213234.6467-2.6467
223133.5614-2.56135
233936.59392.40612
243736.81760.182357
253934.61014.38986
264134.47366.52638
273635.71650.283469
283335.8457-2.84567
293334.6098-1.60983
303434.3352-0.335182
313133.8731-2.87315
322733.4546-6.45464
333733.66283.33725
343436.5679-2.56786
353433.01160.988433
363234.3938-2.3938
372932.7026-3.70261
383634.26471.73528
392933.9514-4.95136
403534.65310.346944
413734.36742.63263
423434.2493-0.249269
433833.98954.01048
443533.86971.13027
453832.20435.79572
463734.65392.34606
473836.71711.28293
483334.9492-1.94923
493636.5964-0.596421
503833.88874.11134
513236.5137-4.51367
523232.8602-0.860231
533233.5357-1.53568
543436.1833-2.18325
553233.5872-1.58718
563735.48721.51282
573934.82054.17955
582934.8184-5.81845
593735.74271.25729
603534.78260.217423
613031.3949-1.39486
623834.89793.1021
633435.2404-1.2404
643134.5363-3.53634
653433.02080.979162
663536.3107-1.31069
673634.90971.09031
683032.0288-2.02878
693936.67042.32963
703535.8857-0.885726
713835.10792.89212
723135.7905-4.79046
733437.1053-3.10527
743837.81570.184276
753431.98582.01422
763933.19815.80186
773735.82971.1703
783433.19320.806845
792833.1347-5.13469
803731.35885.64118
813335.7324-2.73238
823536.0596-1.05965
833734.13892.86112
843234.6191-2.61909
853333.5688-0.568796
863836.84431.15572
873334.5632-1.56323
882933.2309-4.23093
893333.6287-0.628721
903135.2629-4.26294
913633.09082.90921
923537.703-2.70303
933231.99410.00590929
942932.6973-3.6973
953935.82073.17933
963734.70252.29749
973533.67451.32549
983734.80692.19313
993235.5335-3.53355
1003835.43612.56391
1013734.9142.086
1023636.3282-0.328219
1033231.80950.190548
1043336.7627-3.76271
1054032.96097.03906
1063835.1842.81601
1074136.48764.51238
1083634.48251.51751
1094336.846.16004
1103034.7016-4.70158
1113133.8216-2.8216
1123238.0915-6.09154
1133232.9055-0.905523
1143734.28142.71859
1153734.12642.87364
1163336.2737-3.2737
1173436.9816-2.98156
1183334.6837-1.68367
1193835.58432.41569
1203334.9553-1.95533
1213131.324-0.324039
1223836.68521.31483
1233736.24130.758692
1243632.98493.01514
1253133.9344-2.93437
1263934.13894.86112
1274436.85777.14228
1283335.6095-2.60951
1293533.54921.45082
1303234.103-2.10297
1312832.4719-4.47193
1324036.15043.8496
1332731.9866-4.9866
1343735.90551.09453
1353232.2764-0.276446
1362828.1903-0.190279
1373434.4411-0.441113
1383033.8013-3.80125
1393534.0490.951009
1403134.3657-3.36573
1413234.2769-2.2769
1423035.9022-5.90225
1433034.9131-4.91315
1443129.70621.2938
1454033.06486.93516
1463231.46380.53623
1473634.49651.50348
1483233.0645-1.06445
1493533.03061.96936
1503836.44271.55731
1514235.30836.69174
1523436.2892-2.28917
1533536.8449-1.84489
1543833.95784.04223
1553332.47110.528931
1563632.69023.30981
1573235.4865-3.48647
1583335.4246-2.42461
1593433.78990.210138
1603235.819-3.81899
1613434.7958-0.795781
1622729.9161-2.91614
1633130.69970.300303
1643833.57924.42082
1653436.1173-2.11729
1662431.2258-7.22582
1673033.7037-3.70369
1682629.6675-3.66755
1693435.6018-1.60181
1702735.1975-8.19752
1713732.21294.78712
1723635.40590.594101
1734134.39596.60413
1742929.3376-0.33761
1753631.0254.97502
1763234.7421-2.7421
1773733.26943.73058
1783031.8299-1.82992
1793132.6726-1.67263
1803835.12322.87678
1813634.55171.4483
1823532.24672.75332
1833134.9916-3.99163
1843833.32264.67742
1852231.0028-9.00277
1863234.6932-2.69315
1873634.16111.83894
1883933.00295.99715
1892830.7655-2.76546
1903234.249-2.24901
1913233.8351-1.83506
1923836.73031.26973
1933233.6139-1.61395
1943534.95840.0416169
1953232.8513-0.851289
1963735.53941.46059
1973432.75641.2436
1983335.4626-2.46264
1993333.0135-0.0134627
2002633.141-7.14096
2013031.9261-1.92614
2022432.062-8.062
2033432.42171.57831
2043432.13111.86889
2053334.1419-1.1419
2063434.7377-0.737659
2073535.5597-0.55966
2083534.1780.822042
2093632.94013.05992
2103433.75650.243515
2113432.6251.37498
2124138.07592.92406
2133236.0841-4.08407
2143033.2975-3.29748
2153533.95941.0406
2162829.6802-1.68018
2173334.7791-1.77906
2183934.01124.98882
2193633.58152.41849
2203636.0142-0.0142382
2213533.14341.85663
2223834.2883.71196
2233332.61780.382204
2243132.8449-1.84493
2253433.42280.577205
2263234.4618-2.46183
2273132.4757-1.47572
2283333.5741-0.574065
2293432.43761.5624
2303433.89940.100566
2313432.12611.87393
2323334.7078-1.70784
2333233.9927-1.99274
2344133.157.84999
2353432.80751.19251
2363631.90784.09221
2373731.0425.958
2383629.81356.18652
2392932.4359-3.43588
2403731.69815.30191
2412733.1368-6.13681
2423533.04641.95357
2432830.6395-2.63951
2443533.06971.93029
2453732.54874.45134
2462933.5704-4.57043
2473233.8811-1.88114
2483631.28464.71543
2491927.1973-8.19733
2502126.7767-5.77669
2513133.3422-2.34217
2523332.42270.577271
2533633.65642.34358
2543332.92330.0767106
2553732.59614.40386
2563432.78521.21479
2573534.58480.415159
2583132.3334-1.33345
2593733.09333.9067
2603531.65123.34881
2612731.6159-4.61585
2623434.6621-0.662057
2634033.62916.37087
2642932.6895-3.68948

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 41 & 36.1447 & 4.85526 \tabularnewline
2 & 39 & 34.6538 & 4.34619 \tabularnewline
3 & 30 & 35.4561 & -5.45613 \tabularnewline
4 & 31 & 34.9463 & -3.94634 \tabularnewline
5 & 34 & 35.8718 & -1.87181 \tabularnewline
6 & 35 & 32.9339 & 2.06615 \tabularnewline
7 & 39 & 33.3099 & 5.69011 \tabularnewline
8 & 34 & 35.9465 & -1.9465 \tabularnewline
9 & 36 & 35.4581 & 0.541861 \tabularnewline
10 & 37 & 37.0087 & -0.00867175 \tabularnewline
11 & 38 & 34.1917 & 3.80834 \tabularnewline
12 & 36 & 34.849 & 1.15097 \tabularnewline
13 & 38 & 35.2855 & 2.71455 \tabularnewline
14 & 39 & 36.4012 & 2.59881 \tabularnewline
15 & 33 & 36.6716 & -3.67158 \tabularnewline
16 & 32 & 34.1321 & -2.1321 \tabularnewline
17 & 36 & 34.2288 & 1.77122 \tabularnewline
18 & 38 & 37.6151 & 0.384859 \tabularnewline
19 & 39 & 36.971 & 2.02898 \tabularnewline
20 & 32 & 33.7988 & -1.79884 \tabularnewline
21 & 32 & 34.6467 & -2.6467 \tabularnewline
22 & 31 & 33.5614 & -2.56135 \tabularnewline
23 & 39 & 36.5939 & 2.40612 \tabularnewline
24 & 37 & 36.8176 & 0.182357 \tabularnewline
25 & 39 & 34.6101 & 4.38986 \tabularnewline
26 & 41 & 34.4736 & 6.52638 \tabularnewline
27 & 36 & 35.7165 & 0.283469 \tabularnewline
28 & 33 & 35.8457 & -2.84567 \tabularnewline
29 & 33 & 34.6098 & -1.60983 \tabularnewline
30 & 34 & 34.3352 & -0.335182 \tabularnewline
31 & 31 & 33.8731 & -2.87315 \tabularnewline
32 & 27 & 33.4546 & -6.45464 \tabularnewline
33 & 37 & 33.6628 & 3.33725 \tabularnewline
34 & 34 & 36.5679 & -2.56786 \tabularnewline
35 & 34 & 33.0116 & 0.988433 \tabularnewline
36 & 32 & 34.3938 & -2.3938 \tabularnewline
37 & 29 & 32.7026 & -3.70261 \tabularnewline
38 & 36 & 34.2647 & 1.73528 \tabularnewline
39 & 29 & 33.9514 & -4.95136 \tabularnewline
40 & 35 & 34.6531 & 0.346944 \tabularnewline
41 & 37 & 34.3674 & 2.63263 \tabularnewline
42 & 34 & 34.2493 & -0.249269 \tabularnewline
43 & 38 & 33.9895 & 4.01048 \tabularnewline
44 & 35 & 33.8697 & 1.13027 \tabularnewline
45 & 38 & 32.2043 & 5.79572 \tabularnewline
46 & 37 & 34.6539 & 2.34606 \tabularnewline
47 & 38 & 36.7171 & 1.28293 \tabularnewline
48 & 33 & 34.9492 & -1.94923 \tabularnewline
49 & 36 & 36.5964 & -0.596421 \tabularnewline
50 & 38 & 33.8887 & 4.11134 \tabularnewline
51 & 32 & 36.5137 & -4.51367 \tabularnewline
52 & 32 & 32.8602 & -0.860231 \tabularnewline
53 & 32 & 33.5357 & -1.53568 \tabularnewline
54 & 34 & 36.1833 & -2.18325 \tabularnewline
55 & 32 & 33.5872 & -1.58718 \tabularnewline
56 & 37 & 35.4872 & 1.51282 \tabularnewline
57 & 39 & 34.8205 & 4.17955 \tabularnewline
58 & 29 & 34.8184 & -5.81845 \tabularnewline
59 & 37 & 35.7427 & 1.25729 \tabularnewline
60 & 35 & 34.7826 & 0.217423 \tabularnewline
61 & 30 & 31.3949 & -1.39486 \tabularnewline
62 & 38 & 34.8979 & 3.1021 \tabularnewline
63 & 34 & 35.2404 & -1.2404 \tabularnewline
64 & 31 & 34.5363 & -3.53634 \tabularnewline
65 & 34 & 33.0208 & 0.979162 \tabularnewline
66 & 35 & 36.3107 & -1.31069 \tabularnewline
67 & 36 & 34.9097 & 1.09031 \tabularnewline
68 & 30 & 32.0288 & -2.02878 \tabularnewline
69 & 39 & 36.6704 & 2.32963 \tabularnewline
70 & 35 & 35.8857 & -0.885726 \tabularnewline
71 & 38 & 35.1079 & 2.89212 \tabularnewline
72 & 31 & 35.7905 & -4.79046 \tabularnewline
73 & 34 & 37.1053 & -3.10527 \tabularnewline
74 & 38 & 37.8157 & 0.184276 \tabularnewline
75 & 34 & 31.9858 & 2.01422 \tabularnewline
76 & 39 & 33.1981 & 5.80186 \tabularnewline
77 & 37 & 35.8297 & 1.1703 \tabularnewline
78 & 34 & 33.1932 & 0.806845 \tabularnewline
79 & 28 & 33.1347 & -5.13469 \tabularnewline
80 & 37 & 31.3588 & 5.64118 \tabularnewline
81 & 33 & 35.7324 & -2.73238 \tabularnewline
82 & 35 & 36.0596 & -1.05965 \tabularnewline
83 & 37 & 34.1389 & 2.86112 \tabularnewline
84 & 32 & 34.6191 & -2.61909 \tabularnewline
85 & 33 & 33.5688 & -0.568796 \tabularnewline
86 & 38 & 36.8443 & 1.15572 \tabularnewline
87 & 33 & 34.5632 & -1.56323 \tabularnewline
88 & 29 & 33.2309 & -4.23093 \tabularnewline
89 & 33 & 33.6287 & -0.628721 \tabularnewline
90 & 31 & 35.2629 & -4.26294 \tabularnewline
91 & 36 & 33.0908 & 2.90921 \tabularnewline
92 & 35 & 37.703 & -2.70303 \tabularnewline
93 & 32 & 31.9941 & 0.00590929 \tabularnewline
94 & 29 & 32.6973 & -3.6973 \tabularnewline
95 & 39 & 35.8207 & 3.17933 \tabularnewline
96 & 37 & 34.7025 & 2.29749 \tabularnewline
97 & 35 & 33.6745 & 1.32549 \tabularnewline
98 & 37 & 34.8069 & 2.19313 \tabularnewline
99 & 32 & 35.5335 & -3.53355 \tabularnewline
100 & 38 & 35.4361 & 2.56391 \tabularnewline
101 & 37 & 34.914 & 2.086 \tabularnewline
102 & 36 & 36.3282 & -0.328219 \tabularnewline
103 & 32 & 31.8095 & 0.190548 \tabularnewline
104 & 33 & 36.7627 & -3.76271 \tabularnewline
105 & 40 & 32.9609 & 7.03906 \tabularnewline
106 & 38 & 35.184 & 2.81601 \tabularnewline
107 & 41 & 36.4876 & 4.51238 \tabularnewline
108 & 36 & 34.4825 & 1.51751 \tabularnewline
109 & 43 & 36.84 & 6.16004 \tabularnewline
110 & 30 & 34.7016 & -4.70158 \tabularnewline
111 & 31 & 33.8216 & -2.8216 \tabularnewline
112 & 32 & 38.0915 & -6.09154 \tabularnewline
113 & 32 & 32.9055 & -0.905523 \tabularnewline
114 & 37 & 34.2814 & 2.71859 \tabularnewline
115 & 37 & 34.1264 & 2.87364 \tabularnewline
116 & 33 & 36.2737 & -3.2737 \tabularnewline
117 & 34 & 36.9816 & -2.98156 \tabularnewline
118 & 33 & 34.6837 & -1.68367 \tabularnewline
119 & 38 & 35.5843 & 2.41569 \tabularnewline
120 & 33 & 34.9553 & -1.95533 \tabularnewline
121 & 31 & 31.324 & -0.324039 \tabularnewline
122 & 38 & 36.6852 & 1.31483 \tabularnewline
123 & 37 & 36.2413 & 0.758692 \tabularnewline
124 & 36 & 32.9849 & 3.01514 \tabularnewline
125 & 31 & 33.9344 & -2.93437 \tabularnewline
126 & 39 & 34.1389 & 4.86112 \tabularnewline
127 & 44 & 36.8577 & 7.14228 \tabularnewline
128 & 33 & 35.6095 & -2.60951 \tabularnewline
129 & 35 & 33.5492 & 1.45082 \tabularnewline
130 & 32 & 34.103 & -2.10297 \tabularnewline
131 & 28 & 32.4719 & -4.47193 \tabularnewline
132 & 40 & 36.1504 & 3.8496 \tabularnewline
133 & 27 & 31.9866 & -4.9866 \tabularnewline
134 & 37 & 35.9055 & 1.09453 \tabularnewline
135 & 32 & 32.2764 & -0.276446 \tabularnewline
136 & 28 & 28.1903 & -0.190279 \tabularnewline
137 & 34 & 34.4411 & -0.441113 \tabularnewline
138 & 30 & 33.8013 & -3.80125 \tabularnewline
139 & 35 & 34.049 & 0.951009 \tabularnewline
140 & 31 & 34.3657 & -3.36573 \tabularnewline
141 & 32 & 34.2769 & -2.2769 \tabularnewline
142 & 30 & 35.9022 & -5.90225 \tabularnewline
143 & 30 & 34.9131 & -4.91315 \tabularnewline
144 & 31 & 29.7062 & 1.2938 \tabularnewline
145 & 40 & 33.0648 & 6.93516 \tabularnewline
146 & 32 & 31.4638 & 0.53623 \tabularnewline
147 & 36 & 34.4965 & 1.50348 \tabularnewline
148 & 32 & 33.0645 & -1.06445 \tabularnewline
149 & 35 & 33.0306 & 1.96936 \tabularnewline
150 & 38 & 36.4427 & 1.55731 \tabularnewline
151 & 42 & 35.3083 & 6.69174 \tabularnewline
152 & 34 & 36.2892 & -2.28917 \tabularnewline
153 & 35 & 36.8449 & -1.84489 \tabularnewline
154 & 38 & 33.9578 & 4.04223 \tabularnewline
155 & 33 & 32.4711 & 0.528931 \tabularnewline
156 & 36 & 32.6902 & 3.30981 \tabularnewline
157 & 32 & 35.4865 & -3.48647 \tabularnewline
158 & 33 & 35.4246 & -2.42461 \tabularnewline
159 & 34 & 33.7899 & 0.210138 \tabularnewline
160 & 32 & 35.819 & -3.81899 \tabularnewline
161 & 34 & 34.7958 & -0.795781 \tabularnewline
162 & 27 & 29.9161 & -2.91614 \tabularnewline
163 & 31 & 30.6997 & 0.300303 \tabularnewline
164 & 38 & 33.5792 & 4.42082 \tabularnewline
165 & 34 & 36.1173 & -2.11729 \tabularnewline
166 & 24 & 31.2258 & -7.22582 \tabularnewline
167 & 30 & 33.7037 & -3.70369 \tabularnewline
168 & 26 & 29.6675 & -3.66755 \tabularnewline
169 & 34 & 35.6018 & -1.60181 \tabularnewline
170 & 27 & 35.1975 & -8.19752 \tabularnewline
171 & 37 & 32.2129 & 4.78712 \tabularnewline
172 & 36 & 35.4059 & 0.594101 \tabularnewline
173 & 41 & 34.3959 & 6.60413 \tabularnewline
174 & 29 & 29.3376 & -0.33761 \tabularnewline
175 & 36 & 31.025 & 4.97502 \tabularnewline
176 & 32 & 34.7421 & -2.7421 \tabularnewline
177 & 37 & 33.2694 & 3.73058 \tabularnewline
178 & 30 & 31.8299 & -1.82992 \tabularnewline
179 & 31 & 32.6726 & -1.67263 \tabularnewline
180 & 38 & 35.1232 & 2.87678 \tabularnewline
181 & 36 & 34.5517 & 1.4483 \tabularnewline
182 & 35 & 32.2467 & 2.75332 \tabularnewline
183 & 31 & 34.9916 & -3.99163 \tabularnewline
184 & 38 & 33.3226 & 4.67742 \tabularnewline
185 & 22 & 31.0028 & -9.00277 \tabularnewline
186 & 32 & 34.6932 & -2.69315 \tabularnewline
187 & 36 & 34.1611 & 1.83894 \tabularnewline
188 & 39 & 33.0029 & 5.99715 \tabularnewline
189 & 28 & 30.7655 & -2.76546 \tabularnewline
190 & 32 & 34.249 & -2.24901 \tabularnewline
191 & 32 & 33.8351 & -1.83506 \tabularnewline
192 & 38 & 36.7303 & 1.26973 \tabularnewline
193 & 32 & 33.6139 & -1.61395 \tabularnewline
194 & 35 & 34.9584 & 0.0416169 \tabularnewline
195 & 32 & 32.8513 & -0.851289 \tabularnewline
196 & 37 & 35.5394 & 1.46059 \tabularnewline
197 & 34 & 32.7564 & 1.2436 \tabularnewline
198 & 33 & 35.4626 & -2.46264 \tabularnewline
199 & 33 & 33.0135 & -0.0134627 \tabularnewline
200 & 26 & 33.141 & -7.14096 \tabularnewline
201 & 30 & 31.9261 & -1.92614 \tabularnewline
202 & 24 & 32.062 & -8.062 \tabularnewline
203 & 34 & 32.4217 & 1.57831 \tabularnewline
204 & 34 & 32.1311 & 1.86889 \tabularnewline
205 & 33 & 34.1419 & -1.1419 \tabularnewline
206 & 34 & 34.7377 & -0.737659 \tabularnewline
207 & 35 & 35.5597 & -0.55966 \tabularnewline
208 & 35 & 34.178 & 0.822042 \tabularnewline
209 & 36 & 32.9401 & 3.05992 \tabularnewline
210 & 34 & 33.7565 & 0.243515 \tabularnewline
211 & 34 & 32.625 & 1.37498 \tabularnewline
212 & 41 & 38.0759 & 2.92406 \tabularnewline
213 & 32 & 36.0841 & -4.08407 \tabularnewline
214 & 30 & 33.2975 & -3.29748 \tabularnewline
215 & 35 & 33.9594 & 1.0406 \tabularnewline
216 & 28 & 29.6802 & -1.68018 \tabularnewline
217 & 33 & 34.7791 & -1.77906 \tabularnewline
218 & 39 & 34.0112 & 4.98882 \tabularnewline
219 & 36 & 33.5815 & 2.41849 \tabularnewline
220 & 36 & 36.0142 & -0.0142382 \tabularnewline
221 & 35 & 33.1434 & 1.85663 \tabularnewline
222 & 38 & 34.288 & 3.71196 \tabularnewline
223 & 33 & 32.6178 & 0.382204 \tabularnewline
224 & 31 & 32.8449 & -1.84493 \tabularnewline
225 & 34 & 33.4228 & 0.577205 \tabularnewline
226 & 32 & 34.4618 & -2.46183 \tabularnewline
227 & 31 & 32.4757 & -1.47572 \tabularnewline
228 & 33 & 33.5741 & -0.574065 \tabularnewline
229 & 34 & 32.4376 & 1.5624 \tabularnewline
230 & 34 & 33.8994 & 0.100566 \tabularnewline
231 & 34 & 32.1261 & 1.87393 \tabularnewline
232 & 33 & 34.7078 & -1.70784 \tabularnewline
233 & 32 & 33.9927 & -1.99274 \tabularnewline
234 & 41 & 33.15 & 7.84999 \tabularnewline
235 & 34 & 32.8075 & 1.19251 \tabularnewline
236 & 36 & 31.9078 & 4.09221 \tabularnewline
237 & 37 & 31.042 & 5.958 \tabularnewline
238 & 36 & 29.8135 & 6.18652 \tabularnewline
239 & 29 & 32.4359 & -3.43588 \tabularnewline
240 & 37 & 31.6981 & 5.30191 \tabularnewline
241 & 27 & 33.1368 & -6.13681 \tabularnewline
242 & 35 & 33.0464 & 1.95357 \tabularnewline
243 & 28 & 30.6395 & -2.63951 \tabularnewline
244 & 35 & 33.0697 & 1.93029 \tabularnewline
245 & 37 & 32.5487 & 4.45134 \tabularnewline
246 & 29 & 33.5704 & -4.57043 \tabularnewline
247 & 32 & 33.8811 & -1.88114 \tabularnewline
248 & 36 & 31.2846 & 4.71543 \tabularnewline
249 & 19 & 27.1973 & -8.19733 \tabularnewline
250 & 21 & 26.7767 & -5.77669 \tabularnewline
251 & 31 & 33.3422 & -2.34217 \tabularnewline
252 & 33 & 32.4227 & 0.577271 \tabularnewline
253 & 36 & 33.6564 & 2.34358 \tabularnewline
254 & 33 & 32.9233 & 0.0767106 \tabularnewline
255 & 37 & 32.5961 & 4.40386 \tabularnewline
256 & 34 & 32.7852 & 1.21479 \tabularnewline
257 & 35 & 34.5848 & 0.415159 \tabularnewline
258 & 31 & 32.3334 & -1.33345 \tabularnewline
259 & 37 & 33.0933 & 3.9067 \tabularnewline
260 & 35 & 31.6512 & 3.34881 \tabularnewline
261 & 27 & 31.6159 & -4.61585 \tabularnewline
262 & 34 & 34.6621 & -0.662057 \tabularnewline
263 & 40 & 33.6291 & 6.37087 \tabularnewline
264 & 29 & 32.6895 & -3.68948 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=274203&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]41[/C][C]36.1447[/C][C]4.85526[/C][/ROW]
[ROW][C]2[/C][C]39[/C][C]34.6538[/C][C]4.34619[/C][/ROW]
[ROW][C]3[/C][C]30[/C][C]35.4561[/C][C]-5.45613[/C][/ROW]
[ROW][C]4[/C][C]31[/C][C]34.9463[/C][C]-3.94634[/C][/ROW]
[ROW][C]5[/C][C]34[/C][C]35.8718[/C][C]-1.87181[/C][/ROW]
[ROW][C]6[/C][C]35[/C][C]32.9339[/C][C]2.06615[/C][/ROW]
[ROW][C]7[/C][C]39[/C][C]33.3099[/C][C]5.69011[/C][/ROW]
[ROW][C]8[/C][C]34[/C][C]35.9465[/C][C]-1.9465[/C][/ROW]
[ROW][C]9[/C][C]36[/C][C]35.4581[/C][C]0.541861[/C][/ROW]
[ROW][C]10[/C][C]37[/C][C]37.0087[/C][C]-0.00867175[/C][/ROW]
[ROW][C]11[/C][C]38[/C][C]34.1917[/C][C]3.80834[/C][/ROW]
[ROW][C]12[/C][C]36[/C][C]34.849[/C][C]1.15097[/C][/ROW]
[ROW][C]13[/C][C]38[/C][C]35.2855[/C][C]2.71455[/C][/ROW]
[ROW][C]14[/C][C]39[/C][C]36.4012[/C][C]2.59881[/C][/ROW]
[ROW][C]15[/C][C]33[/C][C]36.6716[/C][C]-3.67158[/C][/ROW]
[ROW][C]16[/C][C]32[/C][C]34.1321[/C][C]-2.1321[/C][/ROW]
[ROW][C]17[/C][C]36[/C][C]34.2288[/C][C]1.77122[/C][/ROW]
[ROW][C]18[/C][C]38[/C][C]37.6151[/C][C]0.384859[/C][/ROW]
[ROW][C]19[/C][C]39[/C][C]36.971[/C][C]2.02898[/C][/ROW]
[ROW][C]20[/C][C]32[/C][C]33.7988[/C][C]-1.79884[/C][/ROW]
[ROW][C]21[/C][C]32[/C][C]34.6467[/C][C]-2.6467[/C][/ROW]
[ROW][C]22[/C][C]31[/C][C]33.5614[/C][C]-2.56135[/C][/ROW]
[ROW][C]23[/C][C]39[/C][C]36.5939[/C][C]2.40612[/C][/ROW]
[ROW][C]24[/C][C]37[/C][C]36.8176[/C][C]0.182357[/C][/ROW]
[ROW][C]25[/C][C]39[/C][C]34.6101[/C][C]4.38986[/C][/ROW]
[ROW][C]26[/C][C]41[/C][C]34.4736[/C][C]6.52638[/C][/ROW]
[ROW][C]27[/C][C]36[/C][C]35.7165[/C][C]0.283469[/C][/ROW]
[ROW][C]28[/C][C]33[/C][C]35.8457[/C][C]-2.84567[/C][/ROW]
[ROW][C]29[/C][C]33[/C][C]34.6098[/C][C]-1.60983[/C][/ROW]
[ROW][C]30[/C][C]34[/C][C]34.3352[/C][C]-0.335182[/C][/ROW]
[ROW][C]31[/C][C]31[/C][C]33.8731[/C][C]-2.87315[/C][/ROW]
[ROW][C]32[/C][C]27[/C][C]33.4546[/C][C]-6.45464[/C][/ROW]
[ROW][C]33[/C][C]37[/C][C]33.6628[/C][C]3.33725[/C][/ROW]
[ROW][C]34[/C][C]34[/C][C]36.5679[/C][C]-2.56786[/C][/ROW]
[ROW][C]35[/C][C]34[/C][C]33.0116[/C][C]0.988433[/C][/ROW]
[ROW][C]36[/C][C]32[/C][C]34.3938[/C][C]-2.3938[/C][/ROW]
[ROW][C]37[/C][C]29[/C][C]32.7026[/C][C]-3.70261[/C][/ROW]
[ROW][C]38[/C][C]36[/C][C]34.2647[/C][C]1.73528[/C][/ROW]
[ROW][C]39[/C][C]29[/C][C]33.9514[/C][C]-4.95136[/C][/ROW]
[ROW][C]40[/C][C]35[/C][C]34.6531[/C][C]0.346944[/C][/ROW]
[ROW][C]41[/C][C]37[/C][C]34.3674[/C][C]2.63263[/C][/ROW]
[ROW][C]42[/C][C]34[/C][C]34.2493[/C][C]-0.249269[/C][/ROW]
[ROW][C]43[/C][C]38[/C][C]33.9895[/C][C]4.01048[/C][/ROW]
[ROW][C]44[/C][C]35[/C][C]33.8697[/C][C]1.13027[/C][/ROW]
[ROW][C]45[/C][C]38[/C][C]32.2043[/C][C]5.79572[/C][/ROW]
[ROW][C]46[/C][C]37[/C][C]34.6539[/C][C]2.34606[/C][/ROW]
[ROW][C]47[/C][C]38[/C][C]36.7171[/C][C]1.28293[/C][/ROW]
[ROW][C]48[/C][C]33[/C][C]34.9492[/C][C]-1.94923[/C][/ROW]
[ROW][C]49[/C][C]36[/C][C]36.5964[/C][C]-0.596421[/C][/ROW]
[ROW][C]50[/C][C]38[/C][C]33.8887[/C][C]4.11134[/C][/ROW]
[ROW][C]51[/C][C]32[/C][C]36.5137[/C][C]-4.51367[/C][/ROW]
[ROW][C]52[/C][C]32[/C][C]32.8602[/C][C]-0.860231[/C][/ROW]
[ROW][C]53[/C][C]32[/C][C]33.5357[/C][C]-1.53568[/C][/ROW]
[ROW][C]54[/C][C]34[/C][C]36.1833[/C][C]-2.18325[/C][/ROW]
[ROW][C]55[/C][C]32[/C][C]33.5872[/C][C]-1.58718[/C][/ROW]
[ROW][C]56[/C][C]37[/C][C]35.4872[/C][C]1.51282[/C][/ROW]
[ROW][C]57[/C][C]39[/C][C]34.8205[/C][C]4.17955[/C][/ROW]
[ROW][C]58[/C][C]29[/C][C]34.8184[/C][C]-5.81845[/C][/ROW]
[ROW][C]59[/C][C]37[/C][C]35.7427[/C][C]1.25729[/C][/ROW]
[ROW][C]60[/C][C]35[/C][C]34.7826[/C][C]0.217423[/C][/ROW]
[ROW][C]61[/C][C]30[/C][C]31.3949[/C][C]-1.39486[/C][/ROW]
[ROW][C]62[/C][C]38[/C][C]34.8979[/C][C]3.1021[/C][/ROW]
[ROW][C]63[/C][C]34[/C][C]35.2404[/C][C]-1.2404[/C][/ROW]
[ROW][C]64[/C][C]31[/C][C]34.5363[/C][C]-3.53634[/C][/ROW]
[ROW][C]65[/C][C]34[/C][C]33.0208[/C][C]0.979162[/C][/ROW]
[ROW][C]66[/C][C]35[/C][C]36.3107[/C][C]-1.31069[/C][/ROW]
[ROW][C]67[/C][C]36[/C][C]34.9097[/C][C]1.09031[/C][/ROW]
[ROW][C]68[/C][C]30[/C][C]32.0288[/C][C]-2.02878[/C][/ROW]
[ROW][C]69[/C][C]39[/C][C]36.6704[/C][C]2.32963[/C][/ROW]
[ROW][C]70[/C][C]35[/C][C]35.8857[/C][C]-0.885726[/C][/ROW]
[ROW][C]71[/C][C]38[/C][C]35.1079[/C][C]2.89212[/C][/ROW]
[ROW][C]72[/C][C]31[/C][C]35.7905[/C][C]-4.79046[/C][/ROW]
[ROW][C]73[/C][C]34[/C][C]37.1053[/C][C]-3.10527[/C][/ROW]
[ROW][C]74[/C][C]38[/C][C]37.8157[/C][C]0.184276[/C][/ROW]
[ROW][C]75[/C][C]34[/C][C]31.9858[/C][C]2.01422[/C][/ROW]
[ROW][C]76[/C][C]39[/C][C]33.1981[/C][C]5.80186[/C][/ROW]
[ROW][C]77[/C][C]37[/C][C]35.8297[/C][C]1.1703[/C][/ROW]
[ROW][C]78[/C][C]34[/C][C]33.1932[/C][C]0.806845[/C][/ROW]
[ROW][C]79[/C][C]28[/C][C]33.1347[/C][C]-5.13469[/C][/ROW]
[ROW][C]80[/C][C]37[/C][C]31.3588[/C][C]5.64118[/C][/ROW]
[ROW][C]81[/C][C]33[/C][C]35.7324[/C][C]-2.73238[/C][/ROW]
[ROW][C]82[/C][C]35[/C][C]36.0596[/C][C]-1.05965[/C][/ROW]
[ROW][C]83[/C][C]37[/C][C]34.1389[/C][C]2.86112[/C][/ROW]
[ROW][C]84[/C][C]32[/C][C]34.6191[/C][C]-2.61909[/C][/ROW]
[ROW][C]85[/C][C]33[/C][C]33.5688[/C][C]-0.568796[/C][/ROW]
[ROW][C]86[/C][C]38[/C][C]36.8443[/C][C]1.15572[/C][/ROW]
[ROW][C]87[/C][C]33[/C][C]34.5632[/C][C]-1.56323[/C][/ROW]
[ROW][C]88[/C][C]29[/C][C]33.2309[/C][C]-4.23093[/C][/ROW]
[ROW][C]89[/C][C]33[/C][C]33.6287[/C][C]-0.628721[/C][/ROW]
[ROW][C]90[/C][C]31[/C][C]35.2629[/C][C]-4.26294[/C][/ROW]
[ROW][C]91[/C][C]36[/C][C]33.0908[/C][C]2.90921[/C][/ROW]
[ROW][C]92[/C][C]35[/C][C]37.703[/C][C]-2.70303[/C][/ROW]
[ROW][C]93[/C][C]32[/C][C]31.9941[/C][C]0.00590929[/C][/ROW]
[ROW][C]94[/C][C]29[/C][C]32.6973[/C][C]-3.6973[/C][/ROW]
[ROW][C]95[/C][C]39[/C][C]35.8207[/C][C]3.17933[/C][/ROW]
[ROW][C]96[/C][C]37[/C][C]34.7025[/C][C]2.29749[/C][/ROW]
[ROW][C]97[/C][C]35[/C][C]33.6745[/C][C]1.32549[/C][/ROW]
[ROW][C]98[/C][C]37[/C][C]34.8069[/C][C]2.19313[/C][/ROW]
[ROW][C]99[/C][C]32[/C][C]35.5335[/C][C]-3.53355[/C][/ROW]
[ROW][C]100[/C][C]38[/C][C]35.4361[/C][C]2.56391[/C][/ROW]
[ROW][C]101[/C][C]37[/C][C]34.914[/C][C]2.086[/C][/ROW]
[ROW][C]102[/C][C]36[/C][C]36.3282[/C][C]-0.328219[/C][/ROW]
[ROW][C]103[/C][C]32[/C][C]31.8095[/C][C]0.190548[/C][/ROW]
[ROW][C]104[/C][C]33[/C][C]36.7627[/C][C]-3.76271[/C][/ROW]
[ROW][C]105[/C][C]40[/C][C]32.9609[/C][C]7.03906[/C][/ROW]
[ROW][C]106[/C][C]38[/C][C]35.184[/C][C]2.81601[/C][/ROW]
[ROW][C]107[/C][C]41[/C][C]36.4876[/C][C]4.51238[/C][/ROW]
[ROW][C]108[/C][C]36[/C][C]34.4825[/C][C]1.51751[/C][/ROW]
[ROW][C]109[/C][C]43[/C][C]36.84[/C][C]6.16004[/C][/ROW]
[ROW][C]110[/C][C]30[/C][C]34.7016[/C][C]-4.70158[/C][/ROW]
[ROW][C]111[/C][C]31[/C][C]33.8216[/C][C]-2.8216[/C][/ROW]
[ROW][C]112[/C][C]32[/C][C]38.0915[/C][C]-6.09154[/C][/ROW]
[ROW][C]113[/C][C]32[/C][C]32.9055[/C][C]-0.905523[/C][/ROW]
[ROW][C]114[/C][C]37[/C][C]34.2814[/C][C]2.71859[/C][/ROW]
[ROW][C]115[/C][C]37[/C][C]34.1264[/C][C]2.87364[/C][/ROW]
[ROW][C]116[/C][C]33[/C][C]36.2737[/C][C]-3.2737[/C][/ROW]
[ROW][C]117[/C][C]34[/C][C]36.9816[/C][C]-2.98156[/C][/ROW]
[ROW][C]118[/C][C]33[/C][C]34.6837[/C][C]-1.68367[/C][/ROW]
[ROW][C]119[/C][C]38[/C][C]35.5843[/C][C]2.41569[/C][/ROW]
[ROW][C]120[/C][C]33[/C][C]34.9553[/C][C]-1.95533[/C][/ROW]
[ROW][C]121[/C][C]31[/C][C]31.324[/C][C]-0.324039[/C][/ROW]
[ROW][C]122[/C][C]38[/C][C]36.6852[/C][C]1.31483[/C][/ROW]
[ROW][C]123[/C][C]37[/C][C]36.2413[/C][C]0.758692[/C][/ROW]
[ROW][C]124[/C][C]36[/C][C]32.9849[/C][C]3.01514[/C][/ROW]
[ROW][C]125[/C][C]31[/C][C]33.9344[/C][C]-2.93437[/C][/ROW]
[ROW][C]126[/C][C]39[/C][C]34.1389[/C][C]4.86112[/C][/ROW]
[ROW][C]127[/C][C]44[/C][C]36.8577[/C][C]7.14228[/C][/ROW]
[ROW][C]128[/C][C]33[/C][C]35.6095[/C][C]-2.60951[/C][/ROW]
[ROW][C]129[/C][C]35[/C][C]33.5492[/C][C]1.45082[/C][/ROW]
[ROW][C]130[/C][C]32[/C][C]34.103[/C][C]-2.10297[/C][/ROW]
[ROW][C]131[/C][C]28[/C][C]32.4719[/C][C]-4.47193[/C][/ROW]
[ROW][C]132[/C][C]40[/C][C]36.1504[/C][C]3.8496[/C][/ROW]
[ROW][C]133[/C][C]27[/C][C]31.9866[/C][C]-4.9866[/C][/ROW]
[ROW][C]134[/C][C]37[/C][C]35.9055[/C][C]1.09453[/C][/ROW]
[ROW][C]135[/C][C]32[/C][C]32.2764[/C][C]-0.276446[/C][/ROW]
[ROW][C]136[/C][C]28[/C][C]28.1903[/C][C]-0.190279[/C][/ROW]
[ROW][C]137[/C][C]34[/C][C]34.4411[/C][C]-0.441113[/C][/ROW]
[ROW][C]138[/C][C]30[/C][C]33.8013[/C][C]-3.80125[/C][/ROW]
[ROW][C]139[/C][C]35[/C][C]34.049[/C][C]0.951009[/C][/ROW]
[ROW][C]140[/C][C]31[/C][C]34.3657[/C][C]-3.36573[/C][/ROW]
[ROW][C]141[/C][C]32[/C][C]34.2769[/C][C]-2.2769[/C][/ROW]
[ROW][C]142[/C][C]30[/C][C]35.9022[/C][C]-5.90225[/C][/ROW]
[ROW][C]143[/C][C]30[/C][C]34.9131[/C][C]-4.91315[/C][/ROW]
[ROW][C]144[/C][C]31[/C][C]29.7062[/C][C]1.2938[/C][/ROW]
[ROW][C]145[/C][C]40[/C][C]33.0648[/C][C]6.93516[/C][/ROW]
[ROW][C]146[/C][C]32[/C][C]31.4638[/C][C]0.53623[/C][/ROW]
[ROW][C]147[/C][C]36[/C][C]34.4965[/C][C]1.50348[/C][/ROW]
[ROW][C]148[/C][C]32[/C][C]33.0645[/C][C]-1.06445[/C][/ROW]
[ROW][C]149[/C][C]35[/C][C]33.0306[/C][C]1.96936[/C][/ROW]
[ROW][C]150[/C][C]38[/C][C]36.4427[/C][C]1.55731[/C][/ROW]
[ROW][C]151[/C][C]42[/C][C]35.3083[/C][C]6.69174[/C][/ROW]
[ROW][C]152[/C][C]34[/C][C]36.2892[/C][C]-2.28917[/C][/ROW]
[ROW][C]153[/C][C]35[/C][C]36.8449[/C][C]-1.84489[/C][/ROW]
[ROW][C]154[/C][C]38[/C][C]33.9578[/C][C]4.04223[/C][/ROW]
[ROW][C]155[/C][C]33[/C][C]32.4711[/C][C]0.528931[/C][/ROW]
[ROW][C]156[/C][C]36[/C][C]32.6902[/C][C]3.30981[/C][/ROW]
[ROW][C]157[/C][C]32[/C][C]35.4865[/C][C]-3.48647[/C][/ROW]
[ROW][C]158[/C][C]33[/C][C]35.4246[/C][C]-2.42461[/C][/ROW]
[ROW][C]159[/C][C]34[/C][C]33.7899[/C][C]0.210138[/C][/ROW]
[ROW][C]160[/C][C]32[/C][C]35.819[/C][C]-3.81899[/C][/ROW]
[ROW][C]161[/C][C]34[/C][C]34.7958[/C][C]-0.795781[/C][/ROW]
[ROW][C]162[/C][C]27[/C][C]29.9161[/C][C]-2.91614[/C][/ROW]
[ROW][C]163[/C][C]31[/C][C]30.6997[/C][C]0.300303[/C][/ROW]
[ROW][C]164[/C][C]38[/C][C]33.5792[/C][C]4.42082[/C][/ROW]
[ROW][C]165[/C][C]34[/C][C]36.1173[/C][C]-2.11729[/C][/ROW]
[ROW][C]166[/C][C]24[/C][C]31.2258[/C][C]-7.22582[/C][/ROW]
[ROW][C]167[/C][C]30[/C][C]33.7037[/C][C]-3.70369[/C][/ROW]
[ROW][C]168[/C][C]26[/C][C]29.6675[/C][C]-3.66755[/C][/ROW]
[ROW][C]169[/C][C]34[/C][C]35.6018[/C][C]-1.60181[/C][/ROW]
[ROW][C]170[/C][C]27[/C][C]35.1975[/C][C]-8.19752[/C][/ROW]
[ROW][C]171[/C][C]37[/C][C]32.2129[/C][C]4.78712[/C][/ROW]
[ROW][C]172[/C][C]36[/C][C]35.4059[/C][C]0.594101[/C][/ROW]
[ROW][C]173[/C][C]41[/C][C]34.3959[/C][C]6.60413[/C][/ROW]
[ROW][C]174[/C][C]29[/C][C]29.3376[/C][C]-0.33761[/C][/ROW]
[ROW][C]175[/C][C]36[/C][C]31.025[/C][C]4.97502[/C][/ROW]
[ROW][C]176[/C][C]32[/C][C]34.7421[/C][C]-2.7421[/C][/ROW]
[ROW][C]177[/C][C]37[/C][C]33.2694[/C][C]3.73058[/C][/ROW]
[ROW][C]178[/C][C]30[/C][C]31.8299[/C][C]-1.82992[/C][/ROW]
[ROW][C]179[/C][C]31[/C][C]32.6726[/C][C]-1.67263[/C][/ROW]
[ROW][C]180[/C][C]38[/C][C]35.1232[/C][C]2.87678[/C][/ROW]
[ROW][C]181[/C][C]36[/C][C]34.5517[/C][C]1.4483[/C][/ROW]
[ROW][C]182[/C][C]35[/C][C]32.2467[/C][C]2.75332[/C][/ROW]
[ROW][C]183[/C][C]31[/C][C]34.9916[/C][C]-3.99163[/C][/ROW]
[ROW][C]184[/C][C]38[/C][C]33.3226[/C][C]4.67742[/C][/ROW]
[ROW][C]185[/C][C]22[/C][C]31.0028[/C][C]-9.00277[/C][/ROW]
[ROW][C]186[/C][C]32[/C][C]34.6932[/C][C]-2.69315[/C][/ROW]
[ROW][C]187[/C][C]36[/C][C]34.1611[/C][C]1.83894[/C][/ROW]
[ROW][C]188[/C][C]39[/C][C]33.0029[/C][C]5.99715[/C][/ROW]
[ROW][C]189[/C][C]28[/C][C]30.7655[/C][C]-2.76546[/C][/ROW]
[ROW][C]190[/C][C]32[/C][C]34.249[/C][C]-2.24901[/C][/ROW]
[ROW][C]191[/C][C]32[/C][C]33.8351[/C][C]-1.83506[/C][/ROW]
[ROW][C]192[/C][C]38[/C][C]36.7303[/C][C]1.26973[/C][/ROW]
[ROW][C]193[/C][C]32[/C][C]33.6139[/C][C]-1.61395[/C][/ROW]
[ROW][C]194[/C][C]35[/C][C]34.9584[/C][C]0.0416169[/C][/ROW]
[ROW][C]195[/C][C]32[/C][C]32.8513[/C][C]-0.851289[/C][/ROW]
[ROW][C]196[/C][C]37[/C][C]35.5394[/C][C]1.46059[/C][/ROW]
[ROW][C]197[/C][C]34[/C][C]32.7564[/C][C]1.2436[/C][/ROW]
[ROW][C]198[/C][C]33[/C][C]35.4626[/C][C]-2.46264[/C][/ROW]
[ROW][C]199[/C][C]33[/C][C]33.0135[/C][C]-0.0134627[/C][/ROW]
[ROW][C]200[/C][C]26[/C][C]33.141[/C][C]-7.14096[/C][/ROW]
[ROW][C]201[/C][C]30[/C][C]31.9261[/C][C]-1.92614[/C][/ROW]
[ROW][C]202[/C][C]24[/C][C]32.062[/C][C]-8.062[/C][/ROW]
[ROW][C]203[/C][C]34[/C][C]32.4217[/C][C]1.57831[/C][/ROW]
[ROW][C]204[/C][C]34[/C][C]32.1311[/C][C]1.86889[/C][/ROW]
[ROW][C]205[/C][C]33[/C][C]34.1419[/C][C]-1.1419[/C][/ROW]
[ROW][C]206[/C][C]34[/C][C]34.7377[/C][C]-0.737659[/C][/ROW]
[ROW][C]207[/C][C]35[/C][C]35.5597[/C][C]-0.55966[/C][/ROW]
[ROW][C]208[/C][C]35[/C][C]34.178[/C][C]0.822042[/C][/ROW]
[ROW][C]209[/C][C]36[/C][C]32.9401[/C][C]3.05992[/C][/ROW]
[ROW][C]210[/C][C]34[/C][C]33.7565[/C][C]0.243515[/C][/ROW]
[ROW][C]211[/C][C]34[/C][C]32.625[/C][C]1.37498[/C][/ROW]
[ROW][C]212[/C][C]41[/C][C]38.0759[/C][C]2.92406[/C][/ROW]
[ROW][C]213[/C][C]32[/C][C]36.0841[/C][C]-4.08407[/C][/ROW]
[ROW][C]214[/C][C]30[/C][C]33.2975[/C][C]-3.29748[/C][/ROW]
[ROW][C]215[/C][C]35[/C][C]33.9594[/C][C]1.0406[/C][/ROW]
[ROW][C]216[/C][C]28[/C][C]29.6802[/C][C]-1.68018[/C][/ROW]
[ROW][C]217[/C][C]33[/C][C]34.7791[/C][C]-1.77906[/C][/ROW]
[ROW][C]218[/C][C]39[/C][C]34.0112[/C][C]4.98882[/C][/ROW]
[ROW][C]219[/C][C]36[/C][C]33.5815[/C][C]2.41849[/C][/ROW]
[ROW][C]220[/C][C]36[/C][C]36.0142[/C][C]-0.0142382[/C][/ROW]
[ROW][C]221[/C][C]35[/C][C]33.1434[/C][C]1.85663[/C][/ROW]
[ROW][C]222[/C][C]38[/C][C]34.288[/C][C]3.71196[/C][/ROW]
[ROW][C]223[/C][C]33[/C][C]32.6178[/C][C]0.382204[/C][/ROW]
[ROW][C]224[/C][C]31[/C][C]32.8449[/C][C]-1.84493[/C][/ROW]
[ROW][C]225[/C][C]34[/C][C]33.4228[/C][C]0.577205[/C][/ROW]
[ROW][C]226[/C][C]32[/C][C]34.4618[/C][C]-2.46183[/C][/ROW]
[ROW][C]227[/C][C]31[/C][C]32.4757[/C][C]-1.47572[/C][/ROW]
[ROW][C]228[/C][C]33[/C][C]33.5741[/C][C]-0.574065[/C][/ROW]
[ROW][C]229[/C][C]34[/C][C]32.4376[/C][C]1.5624[/C][/ROW]
[ROW][C]230[/C][C]34[/C][C]33.8994[/C][C]0.100566[/C][/ROW]
[ROW][C]231[/C][C]34[/C][C]32.1261[/C][C]1.87393[/C][/ROW]
[ROW][C]232[/C][C]33[/C][C]34.7078[/C][C]-1.70784[/C][/ROW]
[ROW][C]233[/C][C]32[/C][C]33.9927[/C][C]-1.99274[/C][/ROW]
[ROW][C]234[/C][C]41[/C][C]33.15[/C][C]7.84999[/C][/ROW]
[ROW][C]235[/C][C]34[/C][C]32.8075[/C][C]1.19251[/C][/ROW]
[ROW][C]236[/C][C]36[/C][C]31.9078[/C][C]4.09221[/C][/ROW]
[ROW][C]237[/C][C]37[/C][C]31.042[/C][C]5.958[/C][/ROW]
[ROW][C]238[/C][C]36[/C][C]29.8135[/C][C]6.18652[/C][/ROW]
[ROW][C]239[/C][C]29[/C][C]32.4359[/C][C]-3.43588[/C][/ROW]
[ROW][C]240[/C][C]37[/C][C]31.6981[/C][C]5.30191[/C][/ROW]
[ROW][C]241[/C][C]27[/C][C]33.1368[/C][C]-6.13681[/C][/ROW]
[ROW][C]242[/C][C]35[/C][C]33.0464[/C][C]1.95357[/C][/ROW]
[ROW][C]243[/C][C]28[/C][C]30.6395[/C][C]-2.63951[/C][/ROW]
[ROW][C]244[/C][C]35[/C][C]33.0697[/C][C]1.93029[/C][/ROW]
[ROW][C]245[/C][C]37[/C][C]32.5487[/C][C]4.45134[/C][/ROW]
[ROW][C]246[/C][C]29[/C][C]33.5704[/C][C]-4.57043[/C][/ROW]
[ROW][C]247[/C][C]32[/C][C]33.8811[/C][C]-1.88114[/C][/ROW]
[ROW][C]248[/C][C]36[/C][C]31.2846[/C][C]4.71543[/C][/ROW]
[ROW][C]249[/C][C]19[/C][C]27.1973[/C][C]-8.19733[/C][/ROW]
[ROW][C]250[/C][C]21[/C][C]26.7767[/C][C]-5.77669[/C][/ROW]
[ROW][C]251[/C][C]31[/C][C]33.3422[/C][C]-2.34217[/C][/ROW]
[ROW][C]252[/C][C]33[/C][C]32.4227[/C][C]0.577271[/C][/ROW]
[ROW][C]253[/C][C]36[/C][C]33.6564[/C][C]2.34358[/C][/ROW]
[ROW][C]254[/C][C]33[/C][C]32.9233[/C][C]0.0767106[/C][/ROW]
[ROW][C]255[/C][C]37[/C][C]32.5961[/C][C]4.40386[/C][/ROW]
[ROW][C]256[/C][C]34[/C][C]32.7852[/C][C]1.21479[/C][/ROW]
[ROW][C]257[/C][C]35[/C][C]34.5848[/C][C]0.415159[/C][/ROW]
[ROW][C]258[/C][C]31[/C][C]32.3334[/C][C]-1.33345[/C][/ROW]
[ROW][C]259[/C][C]37[/C][C]33.0933[/C][C]3.9067[/C][/ROW]
[ROW][C]260[/C][C]35[/C][C]31.6512[/C][C]3.34881[/C][/ROW]
[ROW][C]261[/C][C]27[/C][C]31.6159[/C][C]-4.61585[/C][/ROW]
[ROW][C]262[/C][C]34[/C][C]34.6621[/C][C]-0.662057[/C][/ROW]
[ROW][C]263[/C][C]40[/C][C]33.6291[/C][C]6.37087[/C][/ROW]
[ROW][C]264[/C][C]29[/C][C]32.6895[/C][C]-3.68948[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=274203&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=274203&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
14136.14474.85526
23934.65384.34619
33035.4561-5.45613
43134.9463-3.94634
53435.8718-1.87181
63532.93392.06615
73933.30995.69011
83435.9465-1.9465
93635.45810.541861
103737.0087-0.00867175
113834.19173.80834
123634.8491.15097
133835.28552.71455
143936.40122.59881
153336.6716-3.67158
163234.1321-2.1321
173634.22881.77122
183837.61510.384859
193936.9712.02898
203233.7988-1.79884
213234.6467-2.6467
223133.5614-2.56135
233936.59392.40612
243736.81760.182357
253934.61014.38986
264134.47366.52638
273635.71650.283469
283335.8457-2.84567
293334.6098-1.60983
303434.3352-0.335182
313133.8731-2.87315
322733.4546-6.45464
333733.66283.33725
343436.5679-2.56786
353433.01160.988433
363234.3938-2.3938
372932.7026-3.70261
383634.26471.73528
392933.9514-4.95136
403534.65310.346944
413734.36742.63263
423434.2493-0.249269
433833.98954.01048
443533.86971.13027
453832.20435.79572
463734.65392.34606
473836.71711.28293
483334.9492-1.94923
493636.5964-0.596421
503833.88874.11134
513236.5137-4.51367
523232.8602-0.860231
533233.5357-1.53568
543436.1833-2.18325
553233.5872-1.58718
563735.48721.51282
573934.82054.17955
582934.8184-5.81845
593735.74271.25729
603534.78260.217423
613031.3949-1.39486
623834.89793.1021
633435.2404-1.2404
643134.5363-3.53634
653433.02080.979162
663536.3107-1.31069
673634.90971.09031
683032.0288-2.02878
693936.67042.32963
703535.8857-0.885726
713835.10792.89212
723135.7905-4.79046
733437.1053-3.10527
743837.81570.184276
753431.98582.01422
763933.19815.80186
773735.82971.1703
783433.19320.806845
792833.1347-5.13469
803731.35885.64118
813335.7324-2.73238
823536.0596-1.05965
833734.13892.86112
843234.6191-2.61909
853333.5688-0.568796
863836.84431.15572
873334.5632-1.56323
882933.2309-4.23093
893333.6287-0.628721
903135.2629-4.26294
913633.09082.90921
923537.703-2.70303
933231.99410.00590929
942932.6973-3.6973
953935.82073.17933
963734.70252.29749
973533.67451.32549
983734.80692.19313
993235.5335-3.53355
1003835.43612.56391
1013734.9142.086
1023636.3282-0.328219
1033231.80950.190548
1043336.7627-3.76271
1054032.96097.03906
1063835.1842.81601
1074136.48764.51238
1083634.48251.51751
1094336.846.16004
1103034.7016-4.70158
1113133.8216-2.8216
1123238.0915-6.09154
1133232.9055-0.905523
1143734.28142.71859
1153734.12642.87364
1163336.2737-3.2737
1173436.9816-2.98156
1183334.6837-1.68367
1193835.58432.41569
1203334.9553-1.95533
1213131.324-0.324039
1223836.68521.31483
1233736.24130.758692
1243632.98493.01514
1253133.9344-2.93437
1263934.13894.86112
1274436.85777.14228
1283335.6095-2.60951
1293533.54921.45082
1303234.103-2.10297
1312832.4719-4.47193
1324036.15043.8496
1332731.9866-4.9866
1343735.90551.09453
1353232.2764-0.276446
1362828.1903-0.190279
1373434.4411-0.441113
1383033.8013-3.80125
1393534.0490.951009
1403134.3657-3.36573
1413234.2769-2.2769
1423035.9022-5.90225
1433034.9131-4.91315
1443129.70621.2938
1454033.06486.93516
1463231.46380.53623
1473634.49651.50348
1483233.0645-1.06445
1493533.03061.96936
1503836.44271.55731
1514235.30836.69174
1523436.2892-2.28917
1533536.8449-1.84489
1543833.95784.04223
1553332.47110.528931
1563632.69023.30981
1573235.4865-3.48647
1583335.4246-2.42461
1593433.78990.210138
1603235.819-3.81899
1613434.7958-0.795781
1622729.9161-2.91614
1633130.69970.300303
1643833.57924.42082
1653436.1173-2.11729
1662431.2258-7.22582
1673033.7037-3.70369
1682629.6675-3.66755
1693435.6018-1.60181
1702735.1975-8.19752
1713732.21294.78712
1723635.40590.594101
1734134.39596.60413
1742929.3376-0.33761
1753631.0254.97502
1763234.7421-2.7421
1773733.26943.73058
1783031.8299-1.82992
1793132.6726-1.67263
1803835.12322.87678
1813634.55171.4483
1823532.24672.75332
1833134.9916-3.99163
1843833.32264.67742
1852231.0028-9.00277
1863234.6932-2.69315
1873634.16111.83894
1883933.00295.99715
1892830.7655-2.76546
1903234.249-2.24901
1913233.8351-1.83506
1923836.73031.26973
1933233.6139-1.61395
1943534.95840.0416169
1953232.8513-0.851289
1963735.53941.46059
1973432.75641.2436
1983335.4626-2.46264
1993333.0135-0.0134627
2002633.141-7.14096
2013031.9261-1.92614
2022432.062-8.062
2033432.42171.57831
2043432.13111.86889
2053334.1419-1.1419
2063434.7377-0.737659
2073535.5597-0.55966
2083534.1780.822042
2093632.94013.05992
2103433.75650.243515
2113432.6251.37498
2124138.07592.92406
2133236.0841-4.08407
2143033.2975-3.29748
2153533.95941.0406
2162829.6802-1.68018
2173334.7791-1.77906
2183934.01124.98882
2193633.58152.41849
2203636.0142-0.0142382
2213533.14341.85663
2223834.2883.71196
2233332.61780.382204
2243132.8449-1.84493
2253433.42280.577205
2263234.4618-2.46183
2273132.4757-1.47572
2283333.5741-0.574065
2293432.43761.5624
2303433.89940.100566
2313432.12611.87393
2323334.7078-1.70784
2333233.9927-1.99274
2344133.157.84999
2353432.80751.19251
2363631.90784.09221
2373731.0425.958
2383629.81356.18652
2392932.4359-3.43588
2403731.69815.30191
2412733.1368-6.13681
2423533.04641.95357
2432830.6395-2.63951
2443533.06971.93029
2453732.54874.45134
2462933.5704-4.57043
2473233.8811-1.88114
2483631.28464.71543
2491927.1973-8.19733
2502126.7767-5.77669
2513133.3422-2.34217
2523332.42270.577271
2533633.65642.34358
2543332.92330.0767106
2553732.59614.40386
2563432.78521.21479
2573534.58480.415159
2583132.3334-1.33345
2593733.09333.9067
2603531.65123.34881
2612731.6159-4.61585
2623434.6621-0.662057
2634033.62916.37087
2642932.6895-3.68948






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.9573520.08529570.0426478
110.9336610.1326780.0663391
120.8972230.2055540.102777
130.8442280.3115450.155772
140.7781390.4437230.221861
150.70610.58780.2939
160.8033970.3932070.196603
170.7360170.5279660.263983
180.7127010.5745980.287299
190.6521260.6957470.347874
200.6491610.7016790.350839
210.6264080.7471850.373592
220.5802330.8395340.419767
230.5460110.9079780.453989
240.4729230.9458460.527077
250.5641810.8716380.435819
260.6921950.615610.307805
270.6356860.7286280.364314
280.6036660.7926670.396334
290.5594130.8811750.440587
300.4981340.9962670.501866
310.4808340.9616690.519166
320.5605460.8789080.439454
330.5871120.8257770.412888
340.5396760.9206480.460324
350.5017660.9964680.498234
360.4483930.8967860.551607
370.4016750.803350.598325
380.3914750.7829490.608525
390.451910.903820.54809
400.4033850.8067690.596615
410.390420.7808410.60958
420.3495650.6991290.650435
430.3253560.6507110.674644
440.2954730.5909450.704527
450.373950.74790.62605
460.3982320.7964630.601768
470.3640480.7280950.635952
480.3316010.6632020.668399
490.2904040.5808090.709596
500.3069780.6139560.693022
510.3402220.6804430.659778
520.3015210.6030430.698479
530.2630930.5261870.736907
540.2323540.4647090.767646
550.199240.3984790.80076
560.1940550.3881110.805945
570.2149550.4299090.785045
580.3084410.6168810.691559
590.2810760.5621520.718924
600.245060.490120.75494
610.2154310.4308630.784569
620.2121630.4243270.787837
630.1849580.3699170.815042
640.1783370.3566750.821663
650.1524380.3048760.847562
660.1302610.2605220.869739
670.1115840.2231680.888416
680.1140020.2280050.885998
690.123530.247060.87647
700.1034670.2069340.896533
710.1130620.2261250.886938
720.1239420.2478850.876058
730.1152530.2305050.884747
740.09745290.1949060.902547
750.08487270.1697450.915127
760.1229830.2459660.877017
770.1076050.2152090.892395
780.09071930.1814390.909281
790.113090.2261810.88691
800.1386580.2773150.861342
810.1291190.2582380.870881
820.1102310.2204610.889769
830.1072030.2144060.892797
840.09912980.198260.90087
850.08423210.1684640.915768
860.07636460.1527290.923635
870.06579070.1315810.934209
880.0741810.1483620.925819
890.06166240.1233250.938338
900.06227390.1245480.937726
910.060190.120380.93981
920.05261620.1052320.947384
930.0431350.08627010.956865
940.04315520.08631050.956845
950.045440.09087990.95456
960.04325880.08651770.956741
970.03634940.07269890.963651
980.03298440.06596880.967016
990.03183540.06367080.968165
1000.03063760.06127520.969362
1010.02780950.05561890.972191
1020.02256590.04513190.977434
1030.01821710.03643420.981783
1040.01770650.0354130.982293
1050.04538230.09076470.954618
1060.04351510.08703020.956485
1070.05608520.112170.943915
1080.04855480.09710960.951445
1090.0845630.1691260.915437
1100.09877880.1975580.901221
1110.09387640.1877530.906124
1120.1244180.2488360.875582
1130.109450.21890.89055
1140.1097170.2194340.890283
1150.1064830.2129670.893517
1160.1017910.2035830.898209
1170.09506320.1901260.904937
1180.08245440.1649090.917546
1190.07841390.1568280.921586
1200.06886330.1377270.931137
1210.05897450.1179490.941026
1220.05413610.1082720.945864
1230.04620950.0924190.95379
1240.04533310.09066610.954667
1250.04269750.08539510.957302
1260.05497160.1099430.945028
1270.1048960.2097920.895104
1280.09823650.1964730.901764
1290.08758690.1751740.912413
1300.08052340.1610470.919477
1310.08770260.1754050.912297
1320.09498190.1899640.905018
1330.1109230.2218450.889077
1340.09801480.196030.901985
1350.08392490.167850.916075
1360.07237730.1447550.927623
1370.06103110.1220620.938969
1380.0623570.1247140.937643
1390.0533440.1066880.946656
1400.05196990.103940.94803
1410.04812210.09624420.951878
1420.06664450.1332890.933355
1430.07826610.1565320.921734
1440.07127880.1425580.928721
1450.1336730.2673470.866327
1460.1211850.2423710.878815
1470.1090550.218110.890945
1480.09443440.1888690.905566
1490.08722650.1744530.912774
1500.07781340.1556270.922187
1510.1316980.2633950.868302
1520.1199660.2399330.880034
1530.1068090.2136170.893191
1540.1204550.240910.879545
1550.1046970.2093930.895303
1560.1097480.2194970.890252
1570.1078860.2157720.892114
1580.09732180.1946440.902678
1590.08500750.1700150.914993
1600.08750850.1750170.912492
1610.07424460.1484890.925755
1620.06831520.136630.931685
1630.05946740.1189350.940533
1640.07887330.1577470.921127
1650.06995220.1399040.930048
1660.120850.24170.87915
1670.1186180.2372360.881382
1680.1134620.2269240.886538
1690.1021460.2042930.897854
1700.2098710.4197410.790129
1710.2407810.4815610.759219
1720.2139640.4279280.786036
1730.3011020.6022040.698898
1740.269020.5380410.73098
1750.3306820.6613630.669318
1760.3120090.6240180.687991
1770.326580.6531590.67342
1780.2971460.5942920.702854
1790.2681030.5362050.731897
1800.2588980.5177950.741102
1810.2362070.4724150.763793
1820.2434640.4869290.756536
1830.2429480.4858960.757052
1840.3084330.6168650.691567
1850.536520.926960.46348
1860.5232160.9535680.476784
1870.5132990.9734020.486701
1880.6550390.6899230.344961
1890.628790.742420.37121
1900.6087280.7825440.391272
1910.5936690.8126630.406331
1920.5597280.8805440.440272
1930.5233720.9532550.476628
1940.4823270.9646530.517673
1950.4419060.8838120.558094
1960.407910.815820.59209
1970.4064990.8129990.593501
1980.379540.759080.62046
1990.3412250.6824510.658775
2000.4429540.8859070.557046
2010.4065590.8131180.593441
2020.5817940.8364130.418206
2030.5466720.9066560.453328
2040.5110990.9778020.488901
2050.4683510.9367030.531649
2060.4289670.8579330.571033
2070.3864530.7729060.613547
2080.3461230.6922460.653877
2090.3240650.6481290.675935
2100.287340.574680.71266
2110.2553050.510610.744695
2120.2320040.4640080.767996
2130.2854520.5709040.714548
2140.270230.540460.72977
2150.2345730.4691460.765427
2160.2026150.405230.797385
2170.1807760.3615520.819224
2180.2014880.4029750.798512
2190.1755310.3510630.824469
2200.1554260.3108520.844574
2210.1299780.2599550.870022
2220.1252990.2505970.874701
2230.1020810.2041620.897919
2240.08741040.1748210.91259
2250.07023140.1404630.929769
2260.08031840.1606370.919682
2270.06700750.1340150.932993
2280.05377050.1075410.946229
2290.04375730.08751450.956243
2300.03702240.07404470.962978
2310.03098570.06197150.969014
2320.07842490.156850.921575
2330.06226340.1245270.937737
2340.1376170.2752330.862383
2350.1075770.2151540.892423
2360.09252290.1850460.907477
2370.08229030.1645810.91771
2380.1794870.3589740.820513
2390.1440390.2880790.855961
2400.248270.496540.75173
2410.3151560.6303110.684844
2420.2556170.5112340.744383
2430.2087750.417550.791225
2440.171710.3434210.82829
2450.4356290.8712590.564371
2460.6218760.7562470.378124
2470.5831550.8336890.416845
2480.5120120.9759760.487988
2490.55530.8894010.4447
2500.4909470.9818930.509053
2510.6799440.6401110.320056
2520.7818320.4363350.218168
2530.6514860.6970290.348514
2540.6935970.6128050.306403

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.957352 & 0.0852957 & 0.0426478 \tabularnewline
11 & 0.933661 & 0.132678 & 0.0663391 \tabularnewline
12 & 0.897223 & 0.205554 & 0.102777 \tabularnewline
13 & 0.844228 & 0.311545 & 0.155772 \tabularnewline
14 & 0.778139 & 0.443723 & 0.221861 \tabularnewline
15 & 0.7061 & 0.5878 & 0.2939 \tabularnewline
16 & 0.803397 & 0.393207 & 0.196603 \tabularnewline
17 & 0.736017 & 0.527966 & 0.263983 \tabularnewline
18 & 0.712701 & 0.574598 & 0.287299 \tabularnewline
19 & 0.652126 & 0.695747 & 0.347874 \tabularnewline
20 & 0.649161 & 0.701679 & 0.350839 \tabularnewline
21 & 0.626408 & 0.747185 & 0.373592 \tabularnewline
22 & 0.580233 & 0.839534 & 0.419767 \tabularnewline
23 & 0.546011 & 0.907978 & 0.453989 \tabularnewline
24 & 0.472923 & 0.945846 & 0.527077 \tabularnewline
25 & 0.564181 & 0.871638 & 0.435819 \tabularnewline
26 & 0.692195 & 0.61561 & 0.307805 \tabularnewline
27 & 0.635686 & 0.728628 & 0.364314 \tabularnewline
28 & 0.603666 & 0.792667 & 0.396334 \tabularnewline
29 & 0.559413 & 0.881175 & 0.440587 \tabularnewline
30 & 0.498134 & 0.996267 & 0.501866 \tabularnewline
31 & 0.480834 & 0.961669 & 0.519166 \tabularnewline
32 & 0.560546 & 0.878908 & 0.439454 \tabularnewline
33 & 0.587112 & 0.825777 & 0.412888 \tabularnewline
34 & 0.539676 & 0.920648 & 0.460324 \tabularnewline
35 & 0.501766 & 0.996468 & 0.498234 \tabularnewline
36 & 0.448393 & 0.896786 & 0.551607 \tabularnewline
37 & 0.401675 & 0.80335 & 0.598325 \tabularnewline
38 & 0.391475 & 0.782949 & 0.608525 \tabularnewline
39 & 0.45191 & 0.90382 & 0.54809 \tabularnewline
40 & 0.403385 & 0.806769 & 0.596615 \tabularnewline
41 & 0.39042 & 0.780841 & 0.60958 \tabularnewline
42 & 0.349565 & 0.699129 & 0.650435 \tabularnewline
43 & 0.325356 & 0.650711 & 0.674644 \tabularnewline
44 & 0.295473 & 0.590945 & 0.704527 \tabularnewline
45 & 0.37395 & 0.7479 & 0.62605 \tabularnewline
46 & 0.398232 & 0.796463 & 0.601768 \tabularnewline
47 & 0.364048 & 0.728095 & 0.635952 \tabularnewline
48 & 0.331601 & 0.663202 & 0.668399 \tabularnewline
49 & 0.290404 & 0.580809 & 0.709596 \tabularnewline
50 & 0.306978 & 0.613956 & 0.693022 \tabularnewline
51 & 0.340222 & 0.680443 & 0.659778 \tabularnewline
52 & 0.301521 & 0.603043 & 0.698479 \tabularnewline
53 & 0.263093 & 0.526187 & 0.736907 \tabularnewline
54 & 0.232354 & 0.464709 & 0.767646 \tabularnewline
55 & 0.19924 & 0.398479 & 0.80076 \tabularnewline
56 & 0.194055 & 0.388111 & 0.805945 \tabularnewline
57 & 0.214955 & 0.429909 & 0.785045 \tabularnewline
58 & 0.308441 & 0.616881 & 0.691559 \tabularnewline
59 & 0.281076 & 0.562152 & 0.718924 \tabularnewline
60 & 0.24506 & 0.49012 & 0.75494 \tabularnewline
61 & 0.215431 & 0.430863 & 0.784569 \tabularnewline
62 & 0.212163 & 0.424327 & 0.787837 \tabularnewline
63 & 0.184958 & 0.369917 & 0.815042 \tabularnewline
64 & 0.178337 & 0.356675 & 0.821663 \tabularnewline
65 & 0.152438 & 0.304876 & 0.847562 \tabularnewline
66 & 0.130261 & 0.260522 & 0.869739 \tabularnewline
67 & 0.111584 & 0.223168 & 0.888416 \tabularnewline
68 & 0.114002 & 0.228005 & 0.885998 \tabularnewline
69 & 0.12353 & 0.24706 & 0.87647 \tabularnewline
70 & 0.103467 & 0.206934 & 0.896533 \tabularnewline
71 & 0.113062 & 0.226125 & 0.886938 \tabularnewline
72 & 0.123942 & 0.247885 & 0.876058 \tabularnewline
73 & 0.115253 & 0.230505 & 0.884747 \tabularnewline
74 & 0.0974529 & 0.194906 & 0.902547 \tabularnewline
75 & 0.0848727 & 0.169745 & 0.915127 \tabularnewline
76 & 0.122983 & 0.245966 & 0.877017 \tabularnewline
77 & 0.107605 & 0.215209 & 0.892395 \tabularnewline
78 & 0.0907193 & 0.181439 & 0.909281 \tabularnewline
79 & 0.11309 & 0.226181 & 0.88691 \tabularnewline
80 & 0.138658 & 0.277315 & 0.861342 \tabularnewline
81 & 0.129119 & 0.258238 & 0.870881 \tabularnewline
82 & 0.110231 & 0.220461 & 0.889769 \tabularnewline
83 & 0.107203 & 0.214406 & 0.892797 \tabularnewline
84 & 0.0991298 & 0.19826 & 0.90087 \tabularnewline
85 & 0.0842321 & 0.168464 & 0.915768 \tabularnewline
86 & 0.0763646 & 0.152729 & 0.923635 \tabularnewline
87 & 0.0657907 & 0.131581 & 0.934209 \tabularnewline
88 & 0.074181 & 0.148362 & 0.925819 \tabularnewline
89 & 0.0616624 & 0.123325 & 0.938338 \tabularnewline
90 & 0.0622739 & 0.124548 & 0.937726 \tabularnewline
91 & 0.06019 & 0.12038 & 0.93981 \tabularnewline
92 & 0.0526162 & 0.105232 & 0.947384 \tabularnewline
93 & 0.043135 & 0.0862701 & 0.956865 \tabularnewline
94 & 0.0431552 & 0.0863105 & 0.956845 \tabularnewline
95 & 0.04544 & 0.0908799 & 0.95456 \tabularnewline
96 & 0.0432588 & 0.0865177 & 0.956741 \tabularnewline
97 & 0.0363494 & 0.0726989 & 0.963651 \tabularnewline
98 & 0.0329844 & 0.0659688 & 0.967016 \tabularnewline
99 & 0.0318354 & 0.0636708 & 0.968165 \tabularnewline
100 & 0.0306376 & 0.0612752 & 0.969362 \tabularnewline
101 & 0.0278095 & 0.0556189 & 0.972191 \tabularnewline
102 & 0.0225659 & 0.0451319 & 0.977434 \tabularnewline
103 & 0.0182171 & 0.0364342 & 0.981783 \tabularnewline
104 & 0.0177065 & 0.035413 & 0.982293 \tabularnewline
105 & 0.0453823 & 0.0907647 & 0.954618 \tabularnewline
106 & 0.0435151 & 0.0870302 & 0.956485 \tabularnewline
107 & 0.0560852 & 0.11217 & 0.943915 \tabularnewline
108 & 0.0485548 & 0.0971096 & 0.951445 \tabularnewline
109 & 0.084563 & 0.169126 & 0.915437 \tabularnewline
110 & 0.0987788 & 0.197558 & 0.901221 \tabularnewline
111 & 0.0938764 & 0.187753 & 0.906124 \tabularnewline
112 & 0.124418 & 0.248836 & 0.875582 \tabularnewline
113 & 0.10945 & 0.2189 & 0.89055 \tabularnewline
114 & 0.109717 & 0.219434 & 0.890283 \tabularnewline
115 & 0.106483 & 0.212967 & 0.893517 \tabularnewline
116 & 0.101791 & 0.203583 & 0.898209 \tabularnewline
117 & 0.0950632 & 0.190126 & 0.904937 \tabularnewline
118 & 0.0824544 & 0.164909 & 0.917546 \tabularnewline
119 & 0.0784139 & 0.156828 & 0.921586 \tabularnewline
120 & 0.0688633 & 0.137727 & 0.931137 \tabularnewline
121 & 0.0589745 & 0.117949 & 0.941026 \tabularnewline
122 & 0.0541361 & 0.108272 & 0.945864 \tabularnewline
123 & 0.0462095 & 0.092419 & 0.95379 \tabularnewline
124 & 0.0453331 & 0.0906661 & 0.954667 \tabularnewline
125 & 0.0426975 & 0.0853951 & 0.957302 \tabularnewline
126 & 0.0549716 & 0.109943 & 0.945028 \tabularnewline
127 & 0.104896 & 0.209792 & 0.895104 \tabularnewline
128 & 0.0982365 & 0.196473 & 0.901764 \tabularnewline
129 & 0.0875869 & 0.175174 & 0.912413 \tabularnewline
130 & 0.0805234 & 0.161047 & 0.919477 \tabularnewline
131 & 0.0877026 & 0.175405 & 0.912297 \tabularnewline
132 & 0.0949819 & 0.189964 & 0.905018 \tabularnewline
133 & 0.110923 & 0.221845 & 0.889077 \tabularnewline
134 & 0.0980148 & 0.19603 & 0.901985 \tabularnewline
135 & 0.0839249 & 0.16785 & 0.916075 \tabularnewline
136 & 0.0723773 & 0.144755 & 0.927623 \tabularnewline
137 & 0.0610311 & 0.122062 & 0.938969 \tabularnewline
138 & 0.062357 & 0.124714 & 0.937643 \tabularnewline
139 & 0.053344 & 0.106688 & 0.946656 \tabularnewline
140 & 0.0519699 & 0.10394 & 0.94803 \tabularnewline
141 & 0.0481221 & 0.0962442 & 0.951878 \tabularnewline
142 & 0.0666445 & 0.133289 & 0.933355 \tabularnewline
143 & 0.0782661 & 0.156532 & 0.921734 \tabularnewline
144 & 0.0712788 & 0.142558 & 0.928721 \tabularnewline
145 & 0.133673 & 0.267347 & 0.866327 \tabularnewline
146 & 0.121185 & 0.242371 & 0.878815 \tabularnewline
147 & 0.109055 & 0.21811 & 0.890945 \tabularnewline
148 & 0.0944344 & 0.188869 & 0.905566 \tabularnewline
149 & 0.0872265 & 0.174453 & 0.912774 \tabularnewline
150 & 0.0778134 & 0.155627 & 0.922187 \tabularnewline
151 & 0.131698 & 0.263395 & 0.868302 \tabularnewline
152 & 0.119966 & 0.239933 & 0.880034 \tabularnewline
153 & 0.106809 & 0.213617 & 0.893191 \tabularnewline
154 & 0.120455 & 0.24091 & 0.879545 \tabularnewline
155 & 0.104697 & 0.209393 & 0.895303 \tabularnewline
156 & 0.109748 & 0.219497 & 0.890252 \tabularnewline
157 & 0.107886 & 0.215772 & 0.892114 \tabularnewline
158 & 0.0973218 & 0.194644 & 0.902678 \tabularnewline
159 & 0.0850075 & 0.170015 & 0.914993 \tabularnewline
160 & 0.0875085 & 0.175017 & 0.912492 \tabularnewline
161 & 0.0742446 & 0.148489 & 0.925755 \tabularnewline
162 & 0.0683152 & 0.13663 & 0.931685 \tabularnewline
163 & 0.0594674 & 0.118935 & 0.940533 \tabularnewline
164 & 0.0788733 & 0.157747 & 0.921127 \tabularnewline
165 & 0.0699522 & 0.139904 & 0.930048 \tabularnewline
166 & 0.12085 & 0.2417 & 0.87915 \tabularnewline
167 & 0.118618 & 0.237236 & 0.881382 \tabularnewline
168 & 0.113462 & 0.226924 & 0.886538 \tabularnewline
169 & 0.102146 & 0.204293 & 0.897854 \tabularnewline
170 & 0.209871 & 0.419741 & 0.790129 \tabularnewline
171 & 0.240781 & 0.481561 & 0.759219 \tabularnewline
172 & 0.213964 & 0.427928 & 0.786036 \tabularnewline
173 & 0.301102 & 0.602204 & 0.698898 \tabularnewline
174 & 0.26902 & 0.538041 & 0.73098 \tabularnewline
175 & 0.330682 & 0.661363 & 0.669318 \tabularnewline
176 & 0.312009 & 0.624018 & 0.687991 \tabularnewline
177 & 0.32658 & 0.653159 & 0.67342 \tabularnewline
178 & 0.297146 & 0.594292 & 0.702854 \tabularnewline
179 & 0.268103 & 0.536205 & 0.731897 \tabularnewline
180 & 0.258898 & 0.517795 & 0.741102 \tabularnewline
181 & 0.236207 & 0.472415 & 0.763793 \tabularnewline
182 & 0.243464 & 0.486929 & 0.756536 \tabularnewline
183 & 0.242948 & 0.485896 & 0.757052 \tabularnewline
184 & 0.308433 & 0.616865 & 0.691567 \tabularnewline
185 & 0.53652 & 0.92696 & 0.46348 \tabularnewline
186 & 0.523216 & 0.953568 & 0.476784 \tabularnewline
187 & 0.513299 & 0.973402 & 0.486701 \tabularnewline
188 & 0.655039 & 0.689923 & 0.344961 \tabularnewline
189 & 0.62879 & 0.74242 & 0.37121 \tabularnewline
190 & 0.608728 & 0.782544 & 0.391272 \tabularnewline
191 & 0.593669 & 0.812663 & 0.406331 \tabularnewline
192 & 0.559728 & 0.880544 & 0.440272 \tabularnewline
193 & 0.523372 & 0.953255 & 0.476628 \tabularnewline
194 & 0.482327 & 0.964653 & 0.517673 \tabularnewline
195 & 0.441906 & 0.883812 & 0.558094 \tabularnewline
196 & 0.40791 & 0.81582 & 0.59209 \tabularnewline
197 & 0.406499 & 0.812999 & 0.593501 \tabularnewline
198 & 0.37954 & 0.75908 & 0.62046 \tabularnewline
199 & 0.341225 & 0.682451 & 0.658775 \tabularnewline
200 & 0.442954 & 0.885907 & 0.557046 \tabularnewline
201 & 0.406559 & 0.813118 & 0.593441 \tabularnewline
202 & 0.581794 & 0.836413 & 0.418206 \tabularnewline
203 & 0.546672 & 0.906656 & 0.453328 \tabularnewline
204 & 0.511099 & 0.977802 & 0.488901 \tabularnewline
205 & 0.468351 & 0.936703 & 0.531649 \tabularnewline
206 & 0.428967 & 0.857933 & 0.571033 \tabularnewline
207 & 0.386453 & 0.772906 & 0.613547 \tabularnewline
208 & 0.346123 & 0.692246 & 0.653877 \tabularnewline
209 & 0.324065 & 0.648129 & 0.675935 \tabularnewline
210 & 0.28734 & 0.57468 & 0.71266 \tabularnewline
211 & 0.255305 & 0.51061 & 0.744695 \tabularnewline
212 & 0.232004 & 0.464008 & 0.767996 \tabularnewline
213 & 0.285452 & 0.570904 & 0.714548 \tabularnewline
214 & 0.27023 & 0.54046 & 0.72977 \tabularnewline
215 & 0.234573 & 0.469146 & 0.765427 \tabularnewline
216 & 0.202615 & 0.40523 & 0.797385 \tabularnewline
217 & 0.180776 & 0.361552 & 0.819224 \tabularnewline
218 & 0.201488 & 0.402975 & 0.798512 \tabularnewline
219 & 0.175531 & 0.351063 & 0.824469 \tabularnewline
220 & 0.155426 & 0.310852 & 0.844574 \tabularnewline
221 & 0.129978 & 0.259955 & 0.870022 \tabularnewline
222 & 0.125299 & 0.250597 & 0.874701 \tabularnewline
223 & 0.102081 & 0.204162 & 0.897919 \tabularnewline
224 & 0.0874104 & 0.174821 & 0.91259 \tabularnewline
225 & 0.0702314 & 0.140463 & 0.929769 \tabularnewline
226 & 0.0803184 & 0.160637 & 0.919682 \tabularnewline
227 & 0.0670075 & 0.134015 & 0.932993 \tabularnewline
228 & 0.0537705 & 0.107541 & 0.946229 \tabularnewline
229 & 0.0437573 & 0.0875145 & 0.956243 \tabularnewline
230 & 0.0370224 & 0.0740447 & 0.962978 \tabularnewline
231 & 0.0309857 & 0.0619715 & 0.969014 \tabularnewline
232 & 0.0784249 & 0.15685 & 0.921575 \tabularnewline
233 & 0.0622634 & 0.124527 & 0.937737 \tabularnewline
234 & 0.137617 & 0.275233 & 0.862383 \tabularnewline
235 & 0.107577 & 0.215154 & 0.892423 \tabularnewline
236 & 0.0925229 & 0.185046 & 0.907477 \tabularnewline
237 & 0.0822903 & 0.164581 & 0.91771 \tabularnewline
238 & 0.179487 & 0.358974 & 0.820513 \tabularnewline
239 & 0.144039 & 0.288079 & 0.855961 \tabularnewline
240 & 0.24827 & 0.49654 & 0.75173 \tabularnewline
241 & 0.315156 & 0.630311 & 0.684844 \tabularnewline
242 & 0.255617 & 0.511234 & 0.744383 \tabularnewline
243 & 0.208775 & 0.41755 & 0.791225 \tabularnewline
244 & 0.17171 & 0.343421 & 0.82829 \tabularnewline
245 & 0.435629 & 0.871259 & 0.564371 \tabularnewline
246 & 0.621876 & 0.756247 & 0.378124 \tabularnewline
247 & 0.583155 & 0.833689 & 0.416845 \tabularnewline
248 & 0.512012 & 0.975976 & 0.487988 \tabularnewline
249 & 0.5553 & 0.889401 & 0.4447 \tabularnewline
250 & 0.490947 & 0.981893 & 0.509053 \tabularnewline
251 & 0.679944 & 0.640111 & 0.320056 \tabularnewline
252 & 0.781832 & 0.436335 & 0.218168 \tabularnewline
253 & 0.651486 & 0.697029 & 0.348514 \tabularnewline
254 & 0.693597 & 0.612805 & 0.306403 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=274203&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]10[/C][C]0.957352[/C][C]0.0852957[/C][C]0.0426478[/C][/ROW]
[ROW][C]11[/C][C]0.933661[/C][C]0.132678[/C][C]0.0663391[/C][/ROW]
[ROW][C]12[/C][C]0.897223[/C][C]0.205554[/C][C]0.102777[/C][/ROW]
[ROW][C]13[/C][C]0.844228[/C][C]0.311545[/C][C]0.155772[/C][/ROW]
[ROW][C]14[/C][C]0.778139[/C][C]0.443723[/C][C]0.221861[/C][/ROW]
[ROW][C]15[/C][C]0.7061[/C][C]0.5878[/C][C]0.2939[/C][/ROW]
[ROW][C]16[/C][C]0.803397[/C][C]0.393207[/C][C]0.196603[/C][/ROW]
[ROW][C]17[/C][C]0.736017[/C][C]0.527966[/C][C]0.263983[/C][/ROW]
[ROW][C]18[/C][C]0.712701[/C][C]0.574598[/C][C]0.287299[/C][/ROW]
[ROW][C]19[/C][C]0.652126[/C][C]0.695747[/C][C]0.347874[/C][/ROW]
[ROW][C]20[/C][C]0.649161[/C][C]0.701679[/C][C]0.350839[/C][/ROW]
[ROW][C]21[/C][C]0.626408[/C][C]0.747185[/C][C]0.373592[/C][/ROW]
[ROW][C]22[/C][C]0.580233[/C][C]0.839534[/C][C]0.419767[/C][/ROW]
[ROW][C]23[/C][C]0.546011[/C][C]0.907978[/C][C]0.453989[/C][/ROW]
[ROW][C]24[/C][C]0.472923[/C][C]0.945846[/C][C]0.527077[/C][/ROW]
[ROW][C]25[/C][C]0.564181[/C][C]0.871638[/C][C]0.435819[/C][/ROW]
[ROW][C]26[/C][C]0.692195[/C][C]0.61561[/C][C]0.307805[/C][/ROW]
[ROW][C]27[/C][C]0.635686[/C][C]0.728628[/C][C]0.364314[/C][/ROW]
[ROW][C]28[/C][C]0.603666[/C][C]0.792667[/C][C]0.396334[/C][/ROW]
[ROW][C]29[/C][C]0.559413[/C][C]0.881175[/C][C]0.440587[/C][/ROW]
[ROW][C]30[/C][C]0.498134[/C][C]0.996267[/C][C]0.501866[/C][/ROW]
[ROW][C]31[/C][C]0.480834[/C][C]0.961669[/C][C]0.519166[/C][/ROW]
[ROW][C]32[/C][C]0.560546[/C][C]0.878908[/C][C]0.439454[/C][/ROW]
[ROW][C]33[/C][C]0.587112[/C][C]0.825777[/C][C]0.412888[/C][/ROW]
[ROW][C]34[/C][C]0.539676[/C][C]0.920648[/C][C]0.460324[/C][/ROW]
[ROW][C]35[/C][C]0.501766[/C][C]0.996468[/C][C]0.498234[/C][/ROW]
[ROW][C]36[/C][C]0.448393[/C][C]0.896786[/C][C]0.551607[/C][/ROW]
[ROW][C]37[/C][C]0.401675[/C][C]0.80335[/C][C]0.598325[/C][/ROW]
[ROW][C]38[/C][C]0.391475[/C][C]0.782949[/C][C]0.608525[/C][/ROW]
[ROW][C]39[/C][C]0.45191[/C][C]0.90382[/C][C]0.54809[/C][/ROW]
[ROW][C]40[/C][C]0.403385[/C][C]0.806769[/C][C]0.596615[/C][/ROW]
[ROW][C]41[/C][C]0.39042[/C][C]0.780841[/C][C]0.60958[/C][/ROW]
[ROW][C]42[/C][C]0.349565[/C][C]0.699129[/C][C]0.650435[/C][/ROW]
[ROW][C]43[/C][C]0.325356[/C][C]0.650711[/C][C]0.674644[/C][/ROW]
[ROW][C]44[/C][C]0.295473[/C][C]0.590945[/C][C]0.704527[/C][/ROW]
[ROW][C]45[/C][C]0.37395[/C][C]0.7479[/C][C]0.62605[/C][/ROW]
[ROW][C]46[/C][C]0.398232[/C][C]0.796463[/C][C]0.601768[/C][/ROW]
[ROW][C]47[/C][C]0.364048[/C][C]0.728095[/C][C]0.635952[/C][/ROW]
[ROW][C]48[/C][C]0.331601[/C][C]0.663202[/C][C]0.668399[/C][/ROW]
[ROW][C]49[/C][C]0.290404[/C][C]0.580809[/C][C]0.709596[/C][/ROW]
[ROW][C]50[/C][C]0.306978[/C][C]0.613956[/C][C]0.693022[/C][/ROW]
[ROW][C]51[/C][C]0.340222[/C][C]0.680443[/C][C]0.659778[/C][/ROW]
[ROW][C]52[/C][C]0.301521[/C][C]0.603043[/C][C]0.698479[/C][/ROW]
[ROW][C]53[/C][C]0.263093[/C][C]0.526187[/C][C]0.736907[/C][/ROW]
[ROW][C]54[/C][C]0.232354[/C][C]0.464709[/C][C]0.767646[/C][/ROW]
[ROW][C]55[/C][C]0.19924[/C][C]0.398479[/C][C]0.80076[/C][/ROW]
[ROW][C]56[/C][C]0.194055[/C][C]0.388111[/C][C]0.805945[/C][/ROW]
[ROW][C]57[/C][C]0.214955[/C][C]0.429909[/C][C]0.785045[/C][/ROW]
[ROW][C]58[/C][C]0.308441[/C][C]0.616881[/C][C]0.691559[/C][/ROW]
[ROW][C]59[/C][C]0.281076[/C][C]0.562152[/C][C]0.718924[/C][/ROW]
[ROW][C]60[/C][C]0.24506[/C][C]0.49012[/C][C]0.75494[/C][/ROW]
[ROW][C]61[/C][C]0.215431[/C][C]0.430863[/C][C]0.784569[/C][/ROW]
[ROW][C]62[/C][C]0.212163[/C][C]0.424327[/C][C]0.787837[/C][/ROW]
[ROW][C]63[/C][C]0.184958[/C][C]0.369917[/C][C]0.815042[/C][/ROW]
[ROW][C]64[/C][C]0.178337[/C][C]0.356675[/C][C]0.821663[/C][/ROW]
[ROW][C]65[/C][C]0.152438[/C][C]0.304876[/C][C]0.847562[/C][/ROW]
[ROW][C]66[/C][C]0.130261[/C][C]0.260522[/C][C]0.869739[/C][/ROW]
[ROW][C]67[/C][C]0.111584[/C][C]0.223168[/C][C]0.888416[/C][/ROW]
[ROW][C]68[/C][C]0.114002[/C][C]0.228005[/C][C]0.885998[/C][/ROW]
[ROW][C]69[/C][C]0.12353[/C][C]0.24706[/C][C]0.87647[/C][/ROW]
[ROW][C]70[/C][C]0.103467[/C][C]0.206934[/C][C]0.896533[/C][/ROW]
[ROW][C]71[/C][C]0.113062[/C][C]0.226125[/C][C]0.886938[/C][/ROW]
[ROW][C]72[/C][C]0.123942[/C][C]0.247885[/C][C]0.876058[/C][/ROW]
[ROW][C]73[/C][C]0.115253[/C][C]0.230505[/C][C]0.884747[/C][/ROW]
[ROW][C]74[/C][C]0.0974529[/C][C]0.194906[/C][C]0.902547[/C][/ROW]
[ROW][C]75[/C][C]0.0848727[/C][C]0.169745[/C][C]0.915127[/C][/ROW]
[ROW][C]76[/C][C]0.122983[/C][C]0.245966[/C][C]0.877017[/C][/ROW]
[ROW][C]77[/C][C]0.107605[/C][C]0.215209[/C][C]0.892395[/C][/ROW]
[ROW][C]78[/C][C]0.0907193[/C][C]0.181439[/C][C]0.909281[/C][/ROW]
[ROW][C]79[/C][C]0.11309[/C][C]0.226181[/C][C]0.88691[/C][/ROW]
[ROW][C]80[/C][C]0.138658[/C][C]0.277315[/C][C]0.861342[/C][/ROW]
[ROW][C]81[/C][C]0.129119[/C][C]0.258238[/C][C]0.870881[/C][/ROW]
[ROW][C]82[/C][C]0.110231[/C][C]0.220461[/C][C]0.889769[/C][/ROW]
[ROW][C]83[/C][C]0.107203[/C][C]0.214406[/C][C]0.892797[/C][/ROW]
[ROW][C]84[/C][C]0.0991298[/C][C]0.19826[/C][C]0.90087[/C][/ROW]
[ROW][C]85[/C][C]0.0842321[/C][C]0.168464[/C][C]0.915768[/C][/ROW]
[ROW][C]86[/C][C]0.0763646[/C][C]0.152729[/C][C]0.923635[/C][/ROW]
[ROW][C]87[/C][C]0.0657907[/C][C]0.131581[/C][C]0.934209[/C][/ROW]
[ROW][C]88[/C][C]0.074181[/C][C]0.148362[/C][C]0.925819[/C][/ROW]
[ROW][C]89[/C][C]0.0616624[/C][C]0.123325[/C][C]0.938338[/C][/ROW]
[ROW][C]90[/C][C]0.0622739[/C][C]0.124548[/C][C]0.937726[/C][/ROW]
[ROW][C]91[/C][C]0.06019[/C][C]0.12038[/C][C]0.93981[/C][/ROW]
[ROW][C]92[/C][C]0.0526162[/C][C]0.105232[/C][C]0.947384[/C][/ROW]
[ROW][C]93[/C][C]0.043135[/C][C]0.0862701[/C][C]0.956865[/C][/ROW]
[ROW][C]94[/C][C]0.0431552[/C][C]0.0863105[/C][C]0.956845[/C][/ROW]
[ROW][C]95[/C][C]0.04544[/C][C]0.0908799[/C][C]0.95456[/C][/ROW]
[ROW][C]96[/C][C]0.0432588[/C][C]0.0865177[/C][C]0.956741[/C][/ROW]
[ROW][C]97[/C][C]0.0363494[/C][C]0.0726989[/C][C]0.963651[/C][/ROW]
[ROW][C]98[/C][C]0.0329844[/C][C]0.0659688[/C][C]0.967016[/C][/ROW]
[ROW][C]99[/C][C]0.0318354[/C][C]0.0636708[/C][C]0.968165[/C][/ROW]
[ROW][C]100[/C][C]0.0306376[/C][C]0.0612752[/C][C]0.969362[/C][/ROW]
[ROW][C]101[/C][C]0.0278095[/C][C]0.0556189[/C][C]0.972191[/C][/ROW]
[ROW][C]102[/C][C]0.0225659[/C][C]0.0451319[/C][C]0.977434[/C][/ROW]
[ROW][C]103[/C][C]0.0182171[/C][C]0.0364342[/C][C]0.981783[/C][/ROW]
[ROW][C]104[/C][C]0.0177065[/C][C]0.035413[/C][C]0.982293[/C][/ROW]
[ROW][C]105[/C][C]0.0453823[/C][C]0.0907647[/C][C]0.954618[/C][/ROW]
[ROW][C]106[/C][C]0.0435151[/C][C]0.0870302[/C][C]0.956485[/C][/ROW]
[ROW][C]107[/C][C]0.0560852[/C][C]0.11217[/C][C]0.943915[/C][/ROW]
[ROW][C]108[/C][C]0.0485548[/C][C]0.0971096[/C][C]0.951445[/C][/ROW]
[ROW][C]109[/C][C]0.084563[/C][C]0.169126[/C][C]0.915437[/C][/ROW]
[ROW][C]110[/C][C]0.0987788[/C][C]0.197558[/C][C]0.901221[/C][/ROW]
[ROW][C]111[/C][C]0.0938764[/C][C]0.187753[/C][C]0.906124[/C][/ROW]
[ROW][C]112[/C][C]0.124418[/C][C]0.248836[/C][C]0.875582[/C][/ROW]
[ROW][C]113[/C][C]0.10945[/C][C]0.2189[/C][C]0.89055[/C][/ROW]
[ROW][C]114[/C][C]0.109717[/C][C]0.219434[/C][C]0.890283[/C][/ROW]
[ROW][C]115[/C][C]0.106483[/C][C]0.212967[/C][C]0.893517[/C][/ROW]
[ROW][C]116[/C][C]0.101791[/C][C]0.203583[/C][C]0.898209[/C][/ROW]
[ROW][C]117[/C][C]0.0950632[/C][C]0.190126[/C][C]0.904937[/C][/ROW]
[ROW][C]118[/C][C]0.0824544[/C][C]0.164909[/C][C]0.917546[/C][/ROW]
[ROW][C]119[/C][C]0.0784139[/C][C]0.156828[/C][C]0.921586[/C][/ROW]
[ROW][C]120[/C][C]0.0688633[/C][C]0.137727[/C][C]0.931137[/C][/ROW]
[ROW][C]121[/C][C]0.0589745[/C][C]0.117949[/C][C]0.941026[/C][/ROW]
[ROW][C]122[/C][C]0.0541361[/C][C]0.108272[/C][C]0.945864[/C][/ROW]
[ROW][C]123[/C][C]0.0462095[/C][C]0.092419[/C][C]0.95379[/C][/ROW]
[ROW][C]124[/C][C]0.0453331[/C][C]0.0906661[/C][C]0.954667[/C][/ROW]
[ROW][C]125[/C][C]0.0426975[/C][C]0.0853951[/C][C]0.957302[/C][/ROW]
[ROW][C]126[/C][C]0.0549716[/C][C]0.109943[/C][C]0.945028[/C][/ROW]
[ROW][C]127[/C][C]0.104896[/C][C]0.209792[/C][C]0.895104[/C][/ROW]
[ROW][C]128[/C][C]0.0982365[/C][C]0.196473[/C][C]0.901764[/C][/ROW]
[ROW][C]129[/C][C]0.0875869[/C][C]0.175174[/C][C]0.912413[/C][/ROW]
[ROW][C]130[/C][C]0.0805234[/C][C]0.161047[/C][C]0.919477[/C][/ROW]
[ROW][C]131[/C][C]0.0877026[/C][C]0.175405[/C][C]0.912297[/C][/ROW]
[ROW][C]132[/C][C]0.0949819[/C][C]0.189964[/C][C]0.905018[/C][/ROW]
[ROW][C]133[/C][C]0.110923[/C][C]0.221845[/C][C]0.889077[/C][/ROW]
[ROW][C]134[/C][C]0.0980148[/C][C]0.19603[/C][C]0.901985[/C][/ROW]
[ROW][C]135[/C][C]0.0839249[/C][C]0.16785[/C][C]0.916075[/C][/ROW]
[ROW][C]136[/C][C]0.0723773[/C][C]0.144755[/C][C]0.927623[/C][/ROW]
[ROW][C]137[/C][C]0.0610311[/C][C]0.122062[/C][C]0.938969[/C][/ROW]
[ROW][C]138[/C][C]0.062357[/C][C]0.124714[/C][C]0.937643[/C][/ROW]
[ROW][C]139[/C][C]0.053344[/C][C]0.106688[/C][C]0.946656[/C][/ROW]
[ROW][C]140[/C][C]0.0519699[/C][C]0.10394[/C][C]0.94803[/C][/ROW]
[ROW][C]141[/C][C]0.0481221[/C][C]0.0962442[/C][C]0.951878[/C][/ROW]
[ROW][C]142[/C][C]0.0666445[/C][C]0.133289[/C][C]0.933355[/C][/ROW]
[ROW][C]143[/C][C]0.0782661[/C][C]0.156532[/C][C]0.921734[/C][/ROW]
[ROW][C]144[/C][C]0.0712788[/C][C]0.142558[/C][C]0.928721[/C][/ROW]
[ROW][C]145[/C][C]0.133673[/C][C]0.267347[/C][C]0.866327[/C][/ROW]
[ROW][C]146[/C][C]0.121185[/C][C]0.242371[/C][C]0.878815[/C][/ROW]
[ROW][C]147[/C][C]0.109055[/C][C]0.21811[/C][C]0.890945[/C][/ROW]
[ROW][C]148[/C][C]0.0944344[/C][C]0.188869[/C][C]0.905566[/C][/ROW]
[ROW][C]149[/C][C]0.0872265[/C][C]0.174453[/C][C]0.912774[/C][/ROW]
[ROW][C]150[/C][C]0.0778134[/C][C]0.155627[/C][C]0.922187[/C][/ROW]
[ROW][C]151[/C][C]0.131698[/C][C]0.263395[/C][C]0.868302[/C][/ROW]
[ROW][C]152[/C][C]0.119966[/C][C]0.239933[/C][C]0.880034[/C][/ROW]
[ROW][C]153[/C][C]0.106809[/C][C]0.213617[/C][C]0.893191[/C][/ROW]
[ROW][C]154[/C][C]0.120455[/C][C]0.24091[/C][C]0.879545[/C][/ROW]
[ROW][C]155[/C][C]0.104697[/C][C]0.209393[/C][C]0.895303[/C][/ROW]
[ROW][C]156[/C][C]0.109748[/C][C]0.219497[/C][C]0.890252[/C][/ROW]
[ROW][C]157[/C][C]0.107886[/C][C]0.215772[/C][C]0.892114[/C][/ROW]
[ROW][C]158[/C][C]0.0973218[/C][C]0.194644[/C][C]0.902678[/C][/ROW]
[ROW][C]159[/C][C]0.0850075[/C][C]0.170015[/C][C]0.914993[/C][/ROW]
[ROW][C]160[/C][C]0.0875085[/C][C]0.175017[/C][C]0.912492[/C][/ROW]
[ROW][C]161[/C][C]0.0742446[/C][C]0.148489[/C][C]0.925755[/C][/ROW]
[ROW][C]162[/C][C]0.0683152[/C][C]0.13663[/C][C]0.931685[/C][/ROW]
[ROW][C]163[/C][C]0.0594674[/C][C]0.118935[/C][C]0.940533[/C][/ROW]
[ROW][C]164[/C][C]0.0788733[/C][C]0.157747[/C][C]0.921127[/C][/ROW]
[ROW][C]165[/C][C]0.0699522[/C][C]0.139904[/C][C]0.930048[/C][/ROW]
[ROW][C]166[/C][C]0.12085[/C][C]0.2417[/C][C]0.87915[/C][/ROW]
[ROW][C]167[/C][C]0.118618[/C][C]0.237236[/C][C]0.881382[/C][/ROW]
[ROW][C]168[/C][C]0.113462[/C][C]0.226924[/C][C]0.886538[/C][/ROW]
[ROW][C]169[/C][C]0.102146[/C][C]0.204293[/C][C]0.897854[/C][/ROW]
[ROW][C]170[/C][C]0.209871[/C][C]0.419741[/C][C]0.790129[/C][/ROW]
[ROW][C]171[/C][C]0.240781[/C][C]0.481561[/C][C]0.759219[/C][/ROW]
[ROW][C]172[/C][C]0.213964[/C][C]0.427928[/C][C]0.786036[/C][/ROW]
[ROW][C]173[/C][C]0.301102[/C][C]0.602204[/C][C]0.698898[/C][/ROW]
[ROW][C]174[/C][C]0.26902[/C][C]0.538041[/C][C]0.73098[/C][/ROW]
[ROW][C]175[/C][C]0.330682[/C][C]0.661363[/C][C]0.669318[/C][/ROW]
[ROW][C]176[/C][C]0.312009[/C][C]0.624018[/C][C]0.687991[/C][/ROW]
[ROW][C]177[/C][C]0.32658[/C][C]0.653159[/C][C]0.67342[/C][/ROW]
[ROW][C]178[/C][C]0.297146[/C][C]0.594292[/C][C]0.702854[/C][/ROW]
[ROW][C]179[/C][C]0.268103[/C][C]0.536205[/C][C]0.731897[/C][/ROW]
[ROW][C]180[/C][C]0.258898[/C][C]0.517795[/C][C]0.741102[/C][/ROW]
[ROW][C]181[/C][C]0.236207[/C][C]0.472415[/C][C]0.763793[/C][/ROW]
[ROW][C]182[/C][C]0.243464[/C][C]0.486929[/C][C]0.756536[/C][/ROW]
[ROW][C]183[/C][C]0.242948[/C][C]0.485896[/C][C]0.757052[/C][/ROW]
[ROW][C]184[/C][C]0.308433[/C][C]0.616865[/C][C]0.691567[/C][/ROW]
[ROW][C]185[/C][C]0.53652[/C][C]0.92696[/C][C]0.46348[/C][/ROW]
[ROW][C]186[/C][C]0.523216[/C][C]0.953568[/C][C]0.476784[/C][/ROW]
[ROW][C]187[/C][C]0.513299[/C][C]0.973402[/C][C]0.486701[/C][/ROW]
[ROW][C]188[/C][C]0.655039[/C][C]0.689923[/C][C]0.344961[/C][/ROW]
[ROW][C]189[/C][C]0.62879[/C][C]0.74242[/C][C]0.37121[/C][/ROW]
[ROW][C]190[/C][C]0.608728[/C][C]0.782544[/C][C]0.391272[/C][/ROW]
[ROW][C]191[/C][C]0.593669[/C][C]0.812663[/C][C]0.406331[/C][/ROW]
[ROW][C]192[/C][C]0.559728[/C][C]0.880544[/C][C]0.440272[/C][/ROW]
[ROW][C]193[/C][C]0.523372[/C][C]0.953255[/C][C]0.476628[/C][/ROW]
[ROW][C]194[/C][C]0.482327[/C][C]0.964653[/C][C]0.517673[/C][/ROW]
[ROW][C]195[/C][C]0.441906[/C][C]0.883812[/C][C]0.558094[/C][/ROW]
[ROW][C]196[/C][C]0.40791[/C][C]0.81582[/C][C]0.59209[/C][/ROW]
[ROW][C]197[/C][C]0.406499[/C][C]0.812999[/C][C]0.593501[/C][/ROW]
[ROW][C]198[/C][C]0.37954[/C][C]0.75908[/C][C]0.62046[/C][/ROW]
[ROW][C]199[/C][C]0.341225[/C][C]0.682451[/C][C]0.658775[/C][/ROW]
[ROW][C]200[/C][C]0.442954[/C][C]0.885907[/C][C]0.557046[/C][/ROW]
[ROW][C]201[/C][C]0.406559[/C][C]0.813118[/C][C]0.593441[/C][/ROW]
[ROW][C]202[/C][C]0.581794[/C][C]0.836413[/C][C]0.418206[/C][/ROW]
[ROW][C]203[/C][C]0.546672[/C][C]0.906656[/C][C]0.453328[/C][/ROW]
[ROW][C]204[/C][C]0.511099[/C][C]0.977802[/C][C]0.488901[/C][/ROW]
[ROW][C]205[/C][C]0.468351[/C][C]0.936703[/C][C]0.531649[/C][/ROW]
[ROW][C]206[/C][C]0.428967[/C][C]0.857933[/C][C]0.571033[/C][/ROW]
[ROW][C]207[/C][C]0.386453[/C][C]0.772906[/C][C]0.613547[/C][/ROW]
[ROW][C]208[/C][C]0.346123[/C][C]0.692246[/C][C]0.653877[/C][/ROW]
[ROW][C]209[/C][C]0.324065[/C][C]0.648129[/C][C]0.675935[/C][/ROW]
[ROW][C]210[/C][C]0.28734[/C][C]0.57468[/C][C]0.71266[/C][/ROW]
[ROW][C]211[/C][C]0.255305[/C][C]0.51061[/C][C]0.744695[/C][/ROW]
[ROW][C]212[/C][C]0.232004[/C][C]0.464008[/C][C]0.767996[/C][/ROW]
[ROW][C]213[/C][C]0.285452[/C][C]0.570904[/C][C]0.714548[/C][/ROW]
[ROW][C]214[/C][C]0.27023[/C][C]0.54046[/C][C]0.72977[/C][/ROW]
[ROW][C]215[/C][C]0.234573[/C][C]0.469146[/C][C]0.765427[/C][/ROW]
[ROW][C]216[/C][C]0.202615[/C][C]0.40523[/C][C]0.797385[/C][/ROW]
[ROW][C]217[/C][C]0.180776[/C][C]0.361552[/C][C]0.819224[/C][/ROW]
[ROW][C]218[/C][C]0.201488[/C][C]0.402975[/C][C]0.798512[/C][/ROW]
[ROW][C]219[/C][C]0.175531[/C][C]0.351063[/C][C]0.824469[/C][/ROW]
[ROW][C]220[/C][C]0.155426[/C][C]0.310852[/C][C]0.844574[/C][/ROW]
[ROW][C]221[/C][C]0.129978[/C][C]0.259955[/C][C]0.870022[/C][/ROW]
[ROW][C]222[/C][C]0.125299[/C][C]0.250597[/C][C]0.874701[/C][/ROW]
[ROW][C]223[/C][C]0.102081[/C][C]0.204162[/C][C]0.897919[/C][/ROW]
[ROW][C]224[/C][C]0.0874104[/C][C]0.174821[/C][C]0.91259[/C][/ROW]
[ROW][C]225[/C][C]0.0702314[/C][C]0.140463[/C][C]0.929769[/C][/ROW]
[ROW][C]226[/C][C]0.0803184[/C][C]0.160637[/C][C]0.919682[/C][/ROW]
[ROW][C]227[/C][C]0.0670075[/C][C]0.134015[/C][C]0.932993[/C][/ROW]
[ROW][C]228[/C][C]0.0537705[/C][C]0.107541[/C][C]0.946229[/C][/ROW]
[ROW][C]229[/C][C]0.0437573[/C][C]0.0875145[/C][C]0.956243[/C][/ROW]
[ROW][C]230[/C][C]0.0370224[/C][C]0.0740447[/C][C]0.962978[/C][/ROW]
[ROW][C]231[/C][C]0.0309857[/C][C]0.0619715[/C][C]0.969014[/C][/ROW]
[ROW][C]232[/C][C]0.0784249[/C][C]0.15685[/C][C]0.921575[/C][/ROW]
[ROW][C]233[/C][C]0.0622634[/C][C]0.124527[/C][C]0.937737[/C][/ROW]
[ROW][C]234[/C][C]0.137617[/C][C]0.275233[/C][C]0.862383[/C][/ROW]
[ROW][C]235[/C][C]0.107577[/C][C]0.215154[/C][C]0.892423[/C][/ROW]
[ROW][C]236[/C][C]0.0925229[/C][C]0.185046[/C][C]0.907477[/C][/ROW]
[ROW][C]237[/C][C]0.0822903[/C][C]0.164581[/C][C]0.91771[/C][/ROW]
[ROW][C]238[/C][C]0.179487[/C][C]0.358974[/C][C]0.820513[/C][/ROW]
[ROW][C]239[/C][C]0.144039[/C][C]0.288079[/C][C]0.855961[/C][/ROW]
[ROW][C]240[/C][C]0.24827[/C][C]0.49654[/C][C]0.75173[/C][/ROW]
[ROW][C]241[/C][C]0.315156[/C][C]0.630311[/C][C]0.684844[/C][/ROW]
[ROW][C]242[/C][C]0.255617[/C][C]0.511234[/C][C]0.744383[/C][/ROW]
[ROW][C]243[/C][C]0.208775[/C][C]0.41755[/C][C]0.791225[/C][/ROW]
[ROW][C]244[/C][C]0.17171[/C][C]0.343421[/C][C]0.82829[/C][/ROW]
[ROW][C]245[/C][C]0.435629[/C][C]0.871259[/C][C]0.564371[/C][/ROW]
[ROW][C]246[/C][C]0.621876[/C][C]0.756247[/C][C]0.378124[/C][/ROW]
[ROW][C]247[/C][C]0.583155[/C][C]0.833689[/C][C]0.416845[/C][/ROW]
[ROW][C]248[/C][C]0.512012[/C][C]0.975976[/C][C]0.487988[/C][/ROW]
[ROW][C]249[/C][C]0.5553[/C][C]0.889401[/C][C]0.4447[/C][/ROW]
[ROW][C]250[/C][C]0.490947[/C][C]0.981893[/C][C]0.509053[/C][/ROW]
[ROW][C]251[/C][C]0.679944[/C][C]0.640111[/C][C]0.320056[/C][/ROW]
[ROW][C]252[/C][C]0.781832[/C][C]0.436335[/C][C]0.218168[/C][/ROW]
[ROW][C]253[/C][C]0.651486[/C][C]0.697029[/C][C]0.348514[/C][/ROW]
[ROW][C]254[/C][C]0.693597[/C][C]0.612805[/C][C]0.306403[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=274203&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=274203&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
100.9573520.08529570.0426478
110.9336610.1326780.0663391
120.8972230.2055540.102777
130.8442280.3115450.155772
140.7781390.4437230.221861
150.70610.58780.2939
160.8033970.3932070.196603
170.7360170.5279660.263983
180.7127010.5745980.287299
190.6521260.6957470.347874
200.6491610.7016790.350839
210.6264080.7471850.373592
220.5802330.8395340.419767
230.5460110.9079780.453989
240.4729230.9458460.527077
250.5641810.8716380.435819
260.6921950.615610.307805
270.6356860.7286280.364314
280.6036660.7926670.396334
290.5594130.8811750.440587
300.4981340.9962670.501866
310.4808340.9616690.519166
320.5605460.8789080.439454
330.5871120.8257770.412888
340.5396760.9206480.460324
350.5017660.9964680.498234
360.4483930.8967860.551607
370.4016750.803350.598325
380.3914750.7829490.608525
390.451910.903820.54809
400.4033850.8067690.596615
410.390420.7808410.60958
420.3495650.6991290.650435
430.3253560.6507110.674644
440.2954730.5909450.704527
450.373950.74790.62605
460.3982320.7964630.601768
470.3640480.7280950.635952
480.3316010.6632020.668399
490.2904040.5808090.709596
500.3069780.6139560.693022
510.3402220.6804430.659778
520.3015210.6030430.698479
530.2630930.5261870.736907
540.2323540.4647090.767646
550.199240.3984790.80076
560.1940550.3881110.805945
570.2149550.4299090.785045
580.3084410.6168810.691559
590.2810760.5621520.718924
600.245060.490120.75494
610.2154310.4308630.784569
620.2121630.4243270.787837
630.1849580.3699170.815042
640.1783370.3566750.821663
650.1524380.3048760.847562
660.1302610.2605220.869739
670.1115840.2231680.888416
680.1140020.2280050.885998
690.123530.247060.87647
700.1034670.2069340.896533
710.1130620.2261250.886938
720.1239420.2478850.876058
730.1152530.2305050.884747
740.09745290.1949060.902547
750.08487270.1697450.915127
760.1229830.2459660.877017
770.1076050.2152090.892395
780.09071930.1814390.909281
790.113090.2261810.88691
800.1386580.2773150.861342
810.1291190.2582380.870881
820.1102310.2204610.889769
830.1072030.2144060.892797
840.09912980.198260.90087
850.08423210.1684640.915768
860.07636460.1527290.923635
870.06579070.1315810.934209
880.0741810.1483620.925819
890.06166240.1233250.938338
900.06227390.1245480.937726
910.060190.120380.93981
920.05261620.1052320.947384
930.0431350.08627010.956865
940.04315520.08631050.956845
950.045440.09087990.95456
960.04325880.08651770.956741
970.03634940.07269890.963651
980.03298440.06596880.967016
990.03183540.06367080.968165
1000.03063760.06127520.969362
1010.02780950.05561890.972191
1020.02256590.04513190.977434
1030.01821710.03643420.981783
1040.01770650.0354130.982293
1050.04538230.09076470.954618
1060.04351510.08703020.956485
1070.05608520.112170.943915
1080.04855480.09710960.951445
1090.0845630.1691260.915437
1100.09877880.1975580.901221
1110.09387640.1877530.906124
1120.1244180.2488360.875582
1130.109450.21890.89055
1140.1097170.2194340.890283
1150.1064830.2129670.893517
1160.1017910.2035830.898209
1170.09506320.1901260.904937
1180.08245440.1649090.917546
1190.07841390.1568280.921586
1200.06886330.1377270.931137
1210.05897450.1179490.941026
1220.05413610.1082720.945864
1230.04620950.0924190.95379
1240.04533310.09066610.954667
1250.04269750.08539510.957302
1260.05497160.1099430.945028
1270.1048960.2097920.895104
1280.09823650.1964730.901764
1290.08758690.1751740.912413
1300.08052340.1610470.919477
1310.08770260.1754050.912297
1320.09498190.1899640.905018
1330.1109230.2218450.889077
1340.09801480.196030.901985
1350.08392490.167850.916075
1360.07237730.1447550.927623
1370.06103110.1220620.938969
1380.0623570.1247140.937643
1390.0533440.1066880.946656
1400.05196990.103940.94803
1410.04812210.09624420.951878
1420.06664450.1332890.933355
1430.07826610.1565320.921734
1440.07127880.1425580.928721
1450.1336730.2673470.866327
1460.1211850.2423710.878815
1470.1090550.218110.890945
1480.09443440.1888690.905566
1490.08722650.1744530.912774
1500.07781340.1556270.922187
1510.1316980.2633950.868302
1520.1199660.2399330.880034
1530.1068090.2136170.893191
1540.1204550.240910.879545
1550.1046970.2093930.895303
1560.1097480.2194970.890252
1570.1078860.2157720.892114
1580.09732180.1946440.902678
1590.08500750.1700150.914993
1600.08750850.1750170.912492
1610.07424460.1484890.925755
1620.06831520.136630.931685
1630.05946740.1189350.940533
1640.07887330.1577470.921127
1650.06995220.1399040.930048
1660.120850.24170.87915
1670.1186180.2372360.881382
1680.1134620.2269240.886538
1690.1021460.2042930.897854
1700.2098710.4197410.790129
1710.2407810.4815610.759219
1720.2139640.4279280.786036
1730.3011020.6022040.698898
1740.269020.5380410.73098
1750.3306820.6613630.669318
1760.3120090.6240180.687991
1770.326580.6531590.67342
1780.2971460.5942920.702854
1790.2681030.5362050.731897
1800.2588980.5177950.741102
1810.2362070.4724150.763793
1820.2434640.4869290.756536
1830.2429480.4858960.757052
1840.3084330.6168650.691567
1850.536520.926960.46348
1860.5232160.9535680.476784
1870.5132990.9734020.486701
1880.6550390.6899230.344961
1890.628790.742420.37121
1900.6087280.7825440.391272
1910.5936690.8126630.406331
1920.5597280.8805440.440272
1930.5233720.9532550.476628
1940.4823270.9646530.517673
1950.4419060.8838120.558094
1960.407910.815820.59209
1970.4064990.8129990.593501
1980.379540.759080.62046
1990.3412250.6824510.658775
2000.4429540.8859070.557046
2010.4065590.8131180.593441
2020.5817940.8364130.418206
2030.5466720.9066560.453328
2040.5110990.9778020.488901
2050.4683510.9367030.531649
2060.4289670.8579330.571033
2070.3864530.7729060.613547
2080.3461230.6922460.653877
2090.3240650.6481290.675935
2100.287340.574680.71266
2110.2553050.510610.744695
2120.2320040.4640080.767996
2130.2854520.5709040.714548
2140.270230.540460.72977
2150.2345730.4691460.765427
2160.2026150.405230.797385
2170.1807760.3615520.819224
2180.2014880.4029750.798512
2190.1755310.3510630.824469
2200.1554260.3108520.844574
2210.1299780.2599550.870022
2220.1252990.2505970.874701
2230.1020810.2041620.897919
2240.08741040.1748210.91259
2250.07023140.1404630.929769
2260.08031840.1606370.919682
2270.06700750.1340150.932993
2280.05377050.1075410.946229
2290.04375730.08751450.956243
2300.03702240.07404470.962978
2310.03098570.06197150.969014
2320.07842490.156850.921575
2330.06226340.1245270.937737
2340.1376170.2752330.862383
2350.1075770.2151540.892423
2360.09252290.1850460.907477
2370.08229030.1645810.91771
2380.1794870.3589740.820513
2390.1440390.2880790.855961
2400.248270.496540.75173
2410.3151560.6303110.684844
2420.2556170.5112340.744383
2430.2087750.417550.791225
2440.171710.3434210.82829
2450.4356290.8712590.564371
2460.6218760.7562470.378124
2470.5831550.8336890.416845
2480.5120120.9759760.487988
2490.55530.8894010.4447
2500.4909470.9818930.509053
2510.6799440.6401110.320056
2520.7818320.4363350.218168
2530.6514860.6970290.348514
2540.6935970.6128050.306403






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.0122449OK
10% type I error level230.0938776OK

\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 & 0 & 0 & OK \tabularnewline
5% type I error level & 3 & 0.0122449 & OK \tabularnewline
10% type I error level & 23 & 0.0938776 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=274203&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]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]3[/C][C]0.0122449[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]23[/C][C]0.0938776[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=274203&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=274203&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.0122449OK
10% type I error level230.0938776OK


Figures (Output of Computation)

Figure 1
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Figure 2
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), 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,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
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, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
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,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
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,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
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,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
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,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
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')
}