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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 10 Nov 2014 17:27:33 +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/2014/Nov/10/t141564047036d5dvi32ag9z19.htm/, Retrieved Fri, 17 May 2024 01:41:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=253413, Retrieved Fri, 17 May 2024 01:41:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-11-10 17:27:33] [138e2467cf1c89ca2583ec64b039d8e8] [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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253413&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253413&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253413&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Connected[t] = + 17.1103 + 0.437387Separate[t] + 0.152811Learning[t] -0.0393107Software[t] -0.0639491Depression[t] + 0.0184691Sport1[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Connected[t] =  +  17.1103 +  0.437387Separate[t] +  0.152811Learning[t] -0.0393107Software[t] -0.0639491Depression[t] +  0.0184691Sport1[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253413&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Connected[t] =  +  17.1103 +  0.437387Separate[t] +  0.152811Learning[t] -0.0393107Software[t] -0.0639491Depression[t] +  0.0184691Sport1[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253413&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253413&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] = + 17.1103 + 0.437387Separate[t] + 0.152811Learning[t] -0.0393107Software[t] -0.0639491Depression[t] + 0.0184691Sport1[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)17.11032.873135.9558.45803e-094.22902e-09
Separate0.4373870.05791477.5527.41231e-133.70615e-13
Learning0.1528110.1108651.3780.169290.0846449
Software-0.03931070.115024-0.34180.732810.366405
Depression-0.06394910.0648214-0.98650.3247910.162396
Sport10.01846910.02129710.86720.3866310.193316

\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) & 17.1103 & 2.87313 & 5.955 & 8.45803e-09 & 4.22902e-09 \tabularnewline
Separate & 0.437387 & 0.0579147 & 7.552 & 7.41231e-13 & 3.70615e-13 \tabularnewline
Learning & 0.152811 & 0.110865 & 1.378 & 0.16929 & 0.0846449 \tabularnewline
Software & -0.0393107 & 0.115024 & -0.3418 & 0.73281 & 0.366405 \tabularnewline
Depression & -0.0639491 & 0.0648214 & -0.9865 & 0.324791 & 0.162396 \tabularnewline
Sport1 & 0.0184691 & 0.0212971 & 0.8672 & 0.386631 & 0.193316 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253413&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]17.1103[/C][C]2.87313[/C][C]5.955[/C][C]8.45803e-09[/C][C]4.22902e-09[/C][/ROW]
[ROW][C]Separate[/C][C]0.437387[/C][C]0.0579147[/C][C]7.552[/C][C]7.41231e-13[/C][C]3.70615e-13[/C][/ROW]
[ROW][C]Learning[/C][C]0.152811[/C][C]0.110865[/C][C]1.378[/C][C]0.16929[/C][C]0.0846449[/C][/ROW]
[ROW][C]Software[/C][C]-0.0393107[/C][C]0.115024[/C][C]-0.3418[/C][C]0.73281[/C][C]0.366405[/C][/ROW]
[ROW][C]Depression[/C][C]-0.0639491[/C][C]0.0648214[/C][C]-0.9865[/C][C]0.324791[/C][C]0.162396[/C][/ROW]
[ROW][C]Sport1[/C][C]0.0184691[/C][C]0.0212971[/C][C]0.8672[/C][C]0.386631[/C][C]0.193316[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253413&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253413&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)17.11032.873135.9558.45803e-094.22902e-09
Separate0.4373870.05791477.5527.41231e-133.70615e-13
Learning0.1528110.1108651.3780.169290.0846449
Software-0.03931070.115024-0.34180.732810.366405
Depression-0.06394910.0648214-0.98650.3247910.162396
Sport10.01846910.02129710.86720.3866310.193316






Multiple Linear Regression - Regression Statistics
Multiple R0.474283
R-squared0.224944
Adjusted R-squared0.209924
F-TEST (value)14.9759
F-TEST (DF numerator)5
F-TEST (DF denominator)258
p-value6.57252e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.37455
Sum Squared Residuals2938

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.474283 \tabularnewline
R-squared & 0.224944 \tabularnewline
Adjusted R-squared & 0.209924 \tabularnewline
F-TEST (value) & 14.9759 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 258 \tabularnewline
p-value & 6.57252e-13 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.37455 \tabularnewline
Sum Squared Residuals & 2938 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253413&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.474283[/C][/ROW]
[ROW][C]R-squared[/C][C]0.224944[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.209924[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]14.9759[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]258[/C][/ROW]
[ROW][C]p-value[/C][C]6.57252e-13[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.37455[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2938[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253413&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253413&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 R0.474283
R-squared0.224944
Adjusted R-squared0.209924
F-TEST (value)14.9759
F-TEST (DF numerator)5
F-TEST (DF denominator)258
p-value6.57252e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.37455
Sum Squared Residuals2938






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
14135.45735.54272
23933.94875.05127
33035.0563-5.05626
43134.0704-3.0704
53434.9826-0.982643
63532.06122.93885
73932.6736.32705
83435.3721-1.37212
93634.81371.18632
103736.24170.758324
113833.54074.45927
123634.44041.55957
133834.67033.32972
143935.84563.1544
153336.2691-3.26906
163233.5404-1.54042
173633.49562.50437
183837.23730.762672
193936.59172.40829
203233.3013-1.30132
213234.1681-2.16806
223133.0031-2.00315
233936.35332.64669
243736.31990.680079
253934.11764.88236
264134.09546.90459
273635.17090.829085
283335.3506-2.35055
293334.0626-1.06261
303433.69640.303601
313133.3917-2.39171
322732.664-5.66401
333733.08733.91265
343436.1148-2.11482
353432.43491.5651
363233.5967-1.59671
372931.7282-2.72817
383633.75562.2444
392933.4853-4.48532
403534.23080.769193
413733.94973.05028
423433.70160.298418
433834.0593.94103
443533.35541.64459
453831.67436.3257
463734.05262.94741
473836.42161.57836
483334.5229-1.52294
493636.151-0.15103
503833.4564.54396
513236.3159-4.3159
523232.3203-0.32029
533232.9185-0.918533
543435.9147-1.91473
553232.7455-0.745532
563734.79872.20129
573934.49014.50993
582934.6166-5.61658
593735.42471.57528
603534.36690.633082
613030.6156-0.615565
623834.60943.39057
633435.0236-1.0236
643134.1909-3.19088
653432.80851.19147
663536.1544-1.15444
673634.75091.24909
683031.8188-1.81878
693936.32.70002
703535.6459-0.645936
713834.47593.52406
723135.476-4.47602
733437.0333-3.03329
743837.87830.121721
753431.7412.25905
763932.73846.26161
773735.6891.31096
783432.86911.13092
792832.7749-4.77488
803731.31485.68522
813335.5851-2.58509
823536.0026-1.00262
833733.94543.05465
843234.4036-2.40358
853333.3119-0.31194
863836.50781.49222
873334.4617-1.46167
882933.118-4.11802
893333.2505-0.250455
903134.8531-3.85306
913633.15292.8471
923537.6072-2.60718
933231.73280.267205
942932.4249-3.42488
953935.68223.31782
963734.6042.39605
973533.49761.50238
983734.74732.25275
993235.3666-3.36663
1003835.5152.48499
1013734.75652.24355
1023636.5627-0.562653
1033231.73240.267604
1043336.6168-3.61681
1054032.66247.33765
1063835.24512.7549
1074136.42974.57025
1083634.46951.53051
1094336.35396.6461
1103034.6293-4.62928
1113133.8462-2.84616
1123238.1304-6.13036
1133232.8408-0.840774
1143734.05832.94167
1153734.29512.70491
1163336.3361-3.33613
1173436.8367-2.83673
1183334.6718-1.67178
1193835.53252.46755
1203334.8858-1.88583
1213131.362-0.362043
1223836.62351.3765
1233736.51770.482321
1243633.09522.90478
1253134.155-3.155
1263934.15644.84364
1274437.0616.93903
1283335.5871-2.58715
1293533.44381.55619
1303234.2038-2.2038
1312832.1423-4.14234
1324036.20673.79327
1332731.8745-4.87447
1343735.99791.00206
1353232.2895-0.289538
1362827.89210.107943
1373434.5468-0.546847
1383033.6808-3.68079
1393533.97931.02072
1403134.2529-3.25294
1413234.4698-2.46978
1423035.8881-5.88809
1433035.2479-5.24791
1443129.83751.16251
1454032.82327.17678
1463231.79560.204436
1473634.64781.35216
1483233.3243-1.32428
1493532.87262.12737
1503836.22381.7762
1514235.44676.55334
1523436.5579-2.55794
1533536.9399-1.93988
1543833.86574.13435
1553332.17240.827582
1563633.15292.8471
1573235.4234-3.42337
1583335.5871-2.58715
1593434.0951-0.0950958
1603235.6506-3.65056
1613434.7795-0.77946
1622729.76-2.75997
1633130.60230.397689
1643833.8274.17302
1653436.2461-2.24613
1662430.972-6.97203
1673033.9242-3.9242
1682629.7256-3.72559
1693435.7371-1.73709
1702735.464-8.46402
1713732.04334.95672
1723635.82920.170759
1734134.53276.46734
1742929.1476-0.147633
1753631.21764.78243
1763235.1436-3.14363
1773733.2963.70398
1783031.8351-1.83512
1793133.0135-2.01347
1803835.2452.75503
1813635.12340.876641
1823532.33882.66116
1833135.7594-4.75937
1843833.76514.23485
1852231.0482-9.0482
1863235.0181-3.01809
1873634.61821.38176
1883933.06735.93273
1892830.8649-2.86492
1903234.1243-2.12427
1913234.3943-2.39433
1923837.32470.675293
1933233.575-1.57499
1943535.4281-0.428064
1953233.1346-1.1346
1963736.07690.923122
1973433.00450.995506
1983335.9144-2.91443
1993333.2597-0.25967
2002633.6707-7.6707
2013032.3924-2.39238
2022432.4851-8.48513
2033432.67821.32185
2043432.57071.42928
2053334.5855-1.58546
2063435.2513-1.25134
2073536.1087-1.10865
2083534.83060.169375
2093633.22942.77058
2103434.2271-0.227135
2113433.0010.999049
2124138.56532.43472
2133236.4839-4.48386
2143033.7121-3.71207
2153534.54240.457623
2162830.1604-2.16037
2173335.4506-2.45064
2183934.49324.50676
2193633.81062.18937
2203636.608-0.607996
2213533.69511.30486
2223834.90633.09371
2233333.1698-0.169752
2243133.3408-2.34084
2253433.84790.152139
2263234.6439-2.64394
2273133.1468-2.14681
2283334.1632-1.16317
2293432.61931.38068
2303434.3603-0.360268
2313432.52651.4735
2323335.0802-2.08024
2333234.6862-2.68623
2344133.9877.01305
2353433.45430.545657
2363632.35473.64535
2373730.92386.0762
2383630.52675.47333
2392933.2689-4.26887
2403732.04724.95278
2412733.6117-6.61171
2423533.5841.41602
2432830.8153-2.81533
2443533.49051.50949
2453733.18753.81247
2462933.9335-4.93347
2473234.5011-2.50105
2483631.62284.3772
2491927.57-8.56996
2502127.2936-6.29365
2513133.7847-2.78474
2523332.71310.286936
2533634.18721.81282
2543333.6963-0.696291
2553733.15343.84655
2563433.52920.47081
2573535.3091-0.309107
2583132.9255-1.92554
2593733.81383.18623
2603531.74663.25345
2612732.5063-5.50628
2623435.4287-1.4287
2634034.00025.99983
2642933.4546-4.45462

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 41 & 35.4573 & 5.54272 \tabularnewline
2 & 39 & 33.9487 & 5.05127 \tabularnewline
3 & 30 & 35.0563 & -5.05626 \tabularnewline
4 & 31 & 34.0704 & -3.0704 \tabularnewline
5 & 34 & 34.9826 & -0.982643 \tabularnewline
6 & 35 & 32.0612 & 2.93885 \tabularnewline
7 & 39 & 32.673 & 6.32705 \tabularnewline
8 & 34 & 35.3721 & -1.37212 \tabularnewline
9 & 36 & 34.8137 & 1.18632 \tabularnewline
10 & 37 & 36.2417 & 0.758324 \tabularnewline
11 & 38 & 33.5407 & 4.45927 \tabularnewline
12 & 36 & 34.4404 & 1.55957 \tabularnewline
13 & 38 & 34.6703 & 3.32972 \tabularnewline
14 & 39 & 35.8456 & 3.1544 \tabularnewline
15 & 33 & 36.2691 & -3.26906 \tabularnewline
16 & 32 & 33.5404 & -1.54042 \tabularnewline
17 & 36 & 33.4956 & 2.50437 \tabularnewline
18 & 38 & 37.2373 & 0.762672 \tabularnewline
19 & 39 & 36.5917 & 2.40829 \tabularnewline
20 & 32 & 33.3013 & -1.30132 \tabularnewline
21 & 32 & 34.1681 & -2.16806 \tabularnewline
22 & 31 & 33.0031 & -2.00315 \tabularnewline
23 & 39 & 36.3533 & 2.64669 \tabularnewline
24 & 37 & 36.3199 & 0.680079 \tabularnewline
25 & 39 & 34.1176 & 4.88236 \tabularnewline
26 & 41 & 34.0954 & 6.90459 \tabularnewline
27 & 36 & 35.1709 & 0.829085 \tabularnewline
28 & 33 & 35.3506 & -2.35055 \tabularnewline
29 & 33 & 34.0626 & -1.06261 \tabularnewline
30 & 34 & 33.6964 & 0.303601 \tabularnewline
31 & 31 & 33.3917 & -2.39171 \tabularnewline
32 & 27 & 32.664 & -5.66401 \tabularnewline
33 & 37 & 33.0873 & 3.91265 \tabularnewline
34 & 34 & 36.1148 & -2.11482 \tabularnewline
35 & 34 & 32.4349 & 1.5651 \tabularnewline
36 & 32 & 33.5967 & -1.59671 \tabularnewline
37 & 29 & 31.7282 & -2.72817 \tabularnewline
38 & 36 & 33.7556 & 2.2444 \tabularnewline
39 & 29 & 33.4853 & -4.48532 \tabularnewline
40 & 35 & 34.2308 & 0.769193 \tabularnewline
41 & 37 & 33.9497 & 3.05028 \tabularnewline
42 & 34 & 33.7016 & 0.298418 \tabularnewline
43 & 38 & 34.059 & 3.94103 \tabularnewline
44 & 35 & 33.3554 & 1.64459 \tabularnewline
45 & 38 & 31.6743 & 6.3257 \tabularnewline
46 & 37 & 34.0526 & 2.94741 \tabularnewline
47 & 38 & 36.4216 & 1.57836 \tabularnewline
48 & 33 & 34.5229 & -1.52294 \tabularnewline
49 & 36 & 36.151 & -0.15103 \tabularnewline
50 & 38 & 33.456 & 4.54396 \tabularnewline
51 & 32 & 36.3159 & -4.3159 \tabularnewline
52 & 32 & 32.3203 & -0.32029 \tabularnewline
53 & 32 & 32.9185 & -0.918533 \tabularnewline
54 & 34 & 35.9147 & -1.91473 \tabularnewline
55 & 32 & 32.7455 & -0.745532 \tabularnewline
56 & 37 & 34.7987 & 2.20129 \tabularnewline
57 & 39 & 34.4901 & 4.50993 \tabularnewline
58 & 29 & 34.6166 & -5.61658 \tabularnewline
59 & 37 & 35.4247 & 1.57528 \tabularnewline
60 & 35 & 34.3669 & 0.633082 \tabularnewline
61 & 30 & 30.6156 & -0.615565 \tabularnewline
62 & 38 & 34.6094 & 3.39057 \tabularnewline
63 & 34 & 35.0236 & -1.0236 \tabularnewline
64 & 31 & 34.1909 & -3.19088 \tabularnewline
65 & 34 & 32.8085 & 1.19147 \tabularnewline
66 & 35 & 36.1544 & -1.15444 \tabularnewline
67 & 36 & 34.7509 & 1.24909 \tabularnewline
68 & 30 & 31.8188 & -1.81878 \tabularnewline
69 & 39 & 36.3 & 2.70002 \tabularnewline
70 & 35 & 35.6459 & -0.645936 \tabularnewline
71 & 38 & 34.4759 & 3.52406 \tabularnewline
72 & 31 & 35.476 & -4.47602 \tabularnewline
73 & 34 & 37.0333 & -3.03329 \tabularnewline
74 & 38 & 37.8783 & 0.121721 \tabularnewline
75 & 34 & 31.741 & 2.25905 \tabularnewline
76 & 39 & 32.7384 & 6.26161 \tabularnewline
77 & 37 & 35.689 & 1.31096 \tabularnewline
78 & 34 & 32.8691 & 1.13092 \tabularnewline
79 & 28 & 32.7749 & -4.77488 \tabularnewline
80 & 37 & 31.3148 & 5.68522 \tabularnewline
81 & 33 & 35.5851 & -2.58509 \tabularnewline
82 & 35 & 36.0026 & -1.00262 \tabularnewline
83 & 37 & 33.9454 & 3.05465 \tabularnewline
84 & 32 & 34.4036 & -2.40358 \tabularnewline
85 & 33 & 33.3119 & -0.31194 \tabularnewline
86 & 38 & 36.5078 & 1.49222 \tabularnewline
87 & 33 & 34.4617 & -1.46167 \tabularnewline
88 & 29 & 33.118 & -4.11802 \tabularnewline
89 & 33 & 33.2505 & -0.250455 \tabularnewline
90 & 31 & 34.8531 & -3.85306 \tabularnewline
91 & 36 & 33.1529 & 2.8471 \tabularnewline
92 & 35 & 37.6072 & -2.60718 \tabularnewline
93 & 32 & 31.7328 & 0.267205 \tabularnewline
94 & 29 & 32.4249 & -3.42488 \tabularnewline
95 & 39 & 35.6822 & 3.31782 \tabularnewline
96 & 37 & 34.604 & 2.39605 \tabularnewline
97 & 35 & 33.4976 & 1.50238 \tabularnewline
98 & 37 & 34.7473 & 2.25275 \tabularnewline
99 & 32 & 35.3666 & -3.36663 \tabularnewline
100 & 38 & 35.515 & 2.48499 \tabularnewline
101 & 37 & 34.7565 & 2.24355 \tabularnewline
102 & 36 & 36.5627 & -0.562653 \tabularnewline
103 & 32 & 31.7324 & 0.267604 \tabularnewline
104 & 33 & 36.6168 & -3.61681 \tabularnewline
105 & 40 & 32.6624 & 7.33765 \tabularnewline
106 & 38 & 35.2451 & 2.7549 \tabularnewline
107 & 41 & 36.4297 & 4.57025 \tabularnewline
108 & 36 & 34.4695 & 1.53051 \tabularnewline
109 & 43 & 36.3539 & 6.6461 \tabularnewline
110 & 30 & 34.6293 & -4.62928 \tabularnewline
111 & 31 & 33.8462 & -2.84616 \tabularnewline
112 & 32 & 38.1304 & -6.13036 \tabularnewline
113 & 32 & 32.8408 & -0.840774 \tabularnewline
114 & 37 & 34.0583 & 2.94167 \tabularnewline
115 & 37 & 34.2951 & 2.70491 \tabularnewline
116 & 33 & 36.3361 & -3.33613 \tabularnewline
117 & 34 & 36.8367 & -2.83673 \tabularnewline
118 & 33 & 34.6718 & -1.67178 \tabularnewline
119 & 38 & 35.5325 & 2.46755 \tabularnewline
120 & 33 & 34.8858 & -1.88583 \tabularnewline
121 & 31 & 31.362 & -0.362043 \tabularnewline
122 & 38 & 36.6235 & 1.3765 \tabularnewline
123 & 37 & 36.5177 & 0.482321 \tabularnewline
124 & 36 & 33.0952 & 2.90478 \tabularnewline
125 & 31 & 34.155 & -3.155 \tabularnewline
126 & 39 & 34.1564 & 4.84364 \tabularnewline
127 & 44 & 37.061 & 6.93903 \tabularnewline
128 & 33 & 35.5871 & -2.58715 \tabularnewline
129 & 35 & 33.4438 & 1.55619 \tabularnewline
130 & 32 & 34.2038 & -2.2038 \tabularnewline
131 & 28 & 32.1423 & -4.14234 \tabularnewline
132 & 40 & 36.2067 & 3.79327 \tabularnewline
133 & 27 & 31.8745 & -4.87447 \tabularnewline
134 & 37 & 35.9979 & 1.00206 \tabularnewline
135 & 32 & 32.2895 & -0.289538 \tabularnewline
136 & 28 & 27.8921 & 0.107943 \tabularnewline
137 & 34 & 34.5468 & -0.546847 \tabularnewline
138 & 30 & 33.6808 & -3.68079 \tabularnewline
139 & 35 & 33.9793 & 1.02072 \tabularnewline
140 & 31 & 34.2529 & -3.25294 \tabularnewline
141 & 32 & 34.4698 & -2.46978 \tabularnewline
142 & 30 & 35.8881 & -5.88809 \tabularnewline
143 & 30 & 35.2479 & -5.24791 \tabularnewline
144 & 31 & 29.8375 & 1.16251 \tabularnewline
145 & 40 & 32.8232 & 7.17678 \tabularnewline
146 & 32 & 31.7956 & 0.204436 \tabularnewline
147 & 36 & 34.6478 & 1.35216 \tabularnewline
148 & 32 & 33.3243 & -1.32428 \tabularnewline
149 & 35 & 32.8726 & 2.12737 \tabularnewline
150 & 38 & 36.2238 & 1.7762 \tabularnewline
151 & 42 & 35.4467 & 6.55334 \tabularnewline
152 & 34 & 36.5579 & -2.55794 \tabularnewline
153 & 35 & 36.9399 & -1.93988 \tabularnewline
154 & 38 & 33.8657 & 4.13435 \tabularnewline
155 & 33 & 32.1724 & 0.827582 \tabularnewline
156 & 36 & 33.1529 & 2.8471 \tabularnewline
157 & 32 & 35.4234 & -3.42337 \tabularnewline
158 & 33 & 35.5871 & -2.58715 \tabularnewline
159 & 34 & 34.0951 & -0.0950958 \tabularnewline
160 & 32 & 35.6506 & -3.65056 \tabularnewline
161 & 34 & 34.7795 & -0.77946 \tabularnewline
162 & 27 & 29.76 & -2.75997 \tabularnewline
163 & 31 & 30.6023 & 0.397689 \tabularnewline
164 & 38 & 33.827 & 4.17302 \tabularnewline
165 & 34 & 36.2461 & -2.24613 \tabularnewline
166 & 24 & 30.972 & -6.97203 \tabularnewline
167 & 30 & 33.9242 & -3.9242 \tabularnewline
168 & 26 & 29.7256 & -3.72559 \tabularnewline
169 & 34 & 35.7371 & -1.73709 \tabularnewline
170 & 27 & 35.464 & -8.46402 \tabularnewline
171 & 37 & 32.0433 & 4.95672 \tabularnewline
172 & 36 & 35.8292 & 0.170759 \tabularnewline
173 & 41 & 34.5327 & 6.46734 \tabularnewline
174 & 29 & 29.1476 & -0.147633 \tabularnewline
175 & 36 & 31.2176 & 4.78243 \tabularnewline
176 & 32 & 35.1436 & -3.14363 \tabularnewline
177 & 37 & 33.296 & 3.70398 \tabularnewline
178 & 30 & 31.8351 & -1.83512 \tabularnewline
179 & 31 & 33.0135 & -2.01347 \tabularnewline
180 & 38 & 35.245 & 2.75503 \tabularnewline
181 & 36 & 35.1234 & 0.876641 \tabularnewline
182 & 35 & 32.3388 & 2.66116 \tabularnewline
183 & 31 & 35.7594 & -4.75937 \tabularnewline
184 & 38 & 33.7651 & 4.23485 \tabularnewline
185 & 22 & 31.0482 & -9.0482 \tabularnewline
186 & 32 & 35.0181 & -3.01809 \tabularnewline
187 & 36 & 34.6182 & 1.38176 \tabularnewline
188 & 39 & 33.0673 & 5.93273 \tabularnewline
189 & 28 & 30.8649 & -2.86492 \tabularnewline
190 & 32 & 34.1243 & -2.12427 \tabularnewline
191 & 32 & 34.3943 & -2.39433 \tabularnewline
192 & 38 & 37.3247 & 0.675293 \tabularnewline
193 & 32 & 33.575 & -1.57499 \tabularnewline
194 & 35 & 35.4281 & -0.428064 \tabularnewline
195 & 32 & 33.1346 & -1.1346 \tabularnewline
196 & 37 & 36.0769 & 0.923122 \tabularnewline
197 & 34 & 33.0045 & 0.995506 \tabularnewline
198 & 33 & 35.9144 & -2.91443 \tabularnewline
199 & 33 & 33.2597 & -0.25967 \tabularnewline
200 & 26 & 33.6707 & -7.6707 \tabularnewline
201 & 30 & 32.3924 & -2.39238 \tabularnewline
202 & 24 & 32.4851 & -8.48513 \tabularnewline
203 & 34 & 32.6782 & 1.32185 \tabularnewline
204 & 34 & 32.5707 & 1.42928 \tabularnewline
205 & 33 & 34.5855 & -1.58546 \tabularnewline
206 & 34 & 35.2513 & -1.25134 \tabularnewline
207 & 35 & 36.1087 & -1.10865 \tabularnewline
208 & 35 & 34.8306 & 0.169375 \tabularnewline
209 & 36 & 33.2294 & 2.77058 \tabularnewline
210 & 34 & 34.2271 & -0.227135 \tabularnewline
211 & 34 & 33.001 & 0.999049 \tabularnewline
212 & 41 & 38.5653 & 2.43472 \tabularnewline
213 & 32 & 36.4839 & -4.48386 \tabularnewline
214 & 30 & 33.7121 & -3.71207 \tabularnewline
215 & 35 & 34.5424 & 0.457623 \tabularnewline
216 & 28 & 30.1604 & -2.16037 \tabularnewline
217 & 33 & 35.4506 & -2.45064 \tabularnewline
218 & 39 & 34.4932 & 4.50676 \tabularnewline
219 & 36 & 33.8106 & 2.18937 \tabularnewline
220 & 36 & 36.608 & -0.607996 \tabularnewline
221 & 35 & 33.6951 & 1.30486 \tabularnewline
222 & 38 & 34.9063 & 3.09371 \tabularnewline
223 & 33 & 33.1698 & -0.169752 \tabularnewline
224 & 31 & 33.3408 & -2.34084 \tabularnewline
225 & 34 & 33.8479 & 0.152139 \tabularnewline
226 & 32 & 34.6439 & -2.64394 \tabularnewline
227 & 31 & 33.1468 & -2.14681 \tabularnewline
228 & 33 & 34.1632 & -1.16317 \tabularnewline
229 & 34 & 32.6193 & 1.38068 \tabularnewline
230 & 34 & 34.3603 & -0.360268 \tabularnewline
231 & 34 & 32.5265 & 1.4735 \tabularnewline
232 & 33 & 35.0802 & -2.08024 \tabularnewline
233 & 32 & 34.6862 & -2.68623 \tabularnewline
234 & 41 & 33.987 & 7.01305 \tabularnewline
235 & 34 & 33.4543 & 0.545657 \tabularnewline
236 & 36 & 32.3547 & 3.64535 \tabularnewline
237 & 37 & 30.9238 & 6.0762 \tabularnewline
238 & 36 & 30.5267 & 5.47333 \tabularnewline
239 & 29 & 33.2689 & -4.26887 \tabularnewline
240 & 37 & 32.0472 & 4.95278 \tabularnewline
241 & 27 & 33.6117 & -6.61171 \tabularnewline
242 & 35 & 33.584 & 1.41602 \tabularnewline
243 & 28 & 30.8153 & -2.81533 \tabularnewline
244 & 35 & 33.4905 & 1.50949 \tabularnewline
245 & 37 & 33.1875 & 3.81247 \tabularnewline
246 & 29 & 33.9335 & -4.93347 \tabularnewline
247 & 32 & 34.5011 & -2.50105 \tabularnewline
248 & 36 & 31.6228 & 4.3772 \tabularnewline
249 & 19 & 27.57 & -8.56996 \tabularnewline
250 & 21 & 27.2936 & -6.29365 \tabularnewline
251 & 31 & 33.7847 & -2.78474 \tabularnewline
252 & 33 & 32.7131 & 0.286936 \tabularnewline
253 & 36 & 34.1872 & 1.81282 \tabularnewline
254 & 33 & 33.6963 & -0.696291 \tabularnewline
255 & 37 & 33.1534 & 3.84655 \tabularnewline
256 & 34 & 33.5292 & 0.47081 \tabularnewline
257 & 35 & 35.3091 & -0.309107 \tabularnewline
258 & 31 & 32.9255 & -1.92554 \tabularnewline
259 & 37 & 33.8138 & 3.18623 \tabularnewline
260 & 35 & 31.7466 & 3.25345 \tabularnewline
261 & 27 & 32.5063 & -5.50628 \tabularnewline
262 & 34 & 35.4287 & -1.4287 \tabularnewline
263 & 40 & 34.0002 & 5.99983 \tabularnewline
264 & 29 & 33.4546 & -4.45462 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253413&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]35.4573[/C][C]5.54272[/C][/ROW]
[ROW][C]2[/C][C]39[/C][C]33.9487[/C][C]5.05127[/C][/ROW]
[ROW][C]3[/C][C]30[/C][C]35.0563[/C][C]-5.05626[/C][/ROW]
[ROW][C]4[/C][C]31[/C][C]34.0704[/C][C]-3.0704[/C][/ROW]
[ROW][C]5[/C][C]34[/C][C]34.9826[/C][C]-0.982643[/C][/ROW]
[ROW][C]6[/C][C]35[/C][C]32.0612[/C][C]2.93885[/C][/ROW]
[ROW][C]7[/C][C]39[/C][C]32.673[/C][C]6.32705[/C][/ROW]
[ROW][C]8[/C][C]34[/C][C]35.3721[/C][C]-1.37212[/C][/ROW]
[ROW][C]9[/C][C]36[/C][C]34.8137[/C][C]1.18632[/C][/ROW]
[ROW][C]10[/C][C]37[/C][C]36.2417[/C][C]0.758324[/C][/ROW]
[ROW][C]11[/C][C]38[/C][C]33.5407[/C][C]4.45927[/C][/ROW]
[ROW][C]12[/C][C]36[/C][C]34.4404[/C][C]1.55957[/C][/ROW]
[ROW][C]13[/C][C]38[/C][C]34.6703[/C][C]3.32972[/C][/ROW]
[ROW][C]14[/C][C]39[/C][C]35.8456[/C][C]3.1544[/C][/ROW]
[ROW][C]15[/C][C]33[/C][C]36.2691[/C][C]-3.26906[/C][/ROW]
[ROW][C]16[/C][C]32[/C][C]33.5404[/C][C]-1.54042[/C][/ROW]
[ROW][C]17[/C][C]36[/C][C]33.4956[/C][C]2.50437[/C][/ROW]
[ROW][C]18[/C][C]38[/C][C]37.2373[/C][C]0.762672[/C][/ROW]
[ROW][C]19[/C][C]39[/C][C]36.5917[/C][C]2.40829[/C][/ROW]
[ROW][C]20[/C][C]32[/C][C]33.3013[/C][C]-1.30132[/C][/ROW]
[ROW][C]21[/C][C]32[/C][C]34.1681[/C][C]-2.16806[/C][/ROW]
[ROW][C]22[/C][C]31[/C][C]33.0031[/C][C]-2.00315[/C][/ROW]
[ROW][C]23[/C][C]39[/C][C]36.3533[/C][C]2.64669[/C][/ROW]
[ROW][C]24[/C][C]37[/C][C]36.3199[/C][C]0.680079[/C][/ROW]
[ROW][C]25[/C][C]39[/C][C]34.1176[/C][C]4.88236[/C][/ROW]
[ROW][C]26[/C][C]41[/C][C]34.0954[/C][C]6.90459[/C][/ROW]
[ROW][C]27[/C][C]36[/C][C]35.1709[/C][C]0.829085[/C][/ROW]
[ROW][C]28[/C][C]33[/C][C]35.3506[/C][C]-2.35055[/C][/ROW]
[ROW][C]29[/C][C]33[/C][C]34.0626[/C][C]-1.06261[/C][/ROW]
[ROW][C]30[/C][C]34[/C][C]33.6964[/C][C]0.303601[/C][/ROW]
[ROW][C]31[/C][C]31[/C][C]33.3917[/C][C]-2.39171[/C][/ROW]
[ROW][C]32[/C][C]27[/C][C]32.664[/C][C]-5.66401[/C][/ROW]
[ROW][C]33[/C][C]37[/C][C]33.0873[/C][C]3.91265[/C][/ROW]
[ROW][C]34[/C][C]34[/C][C]36.1148[/C][C]-2.11482[/C][/ROW]
[ROW][C]35[/C][C]34[/C][C]32.4349[/C][C]1.5651[/C][/ROW]
[ROW][C]36[/C][C]32[/C][C]33.5967[/C][C]-1.59671[/C][/ROW]
[ROW][C]37[/C][C]29[/C][C]31.7282[/C][C]-2.72817[/C][/ROW]
[ROW][C]38[/C][C]36[/C][C]33.7556[/C][C]2.2444[/C][/ROW]
[ROW][C]39[/C][C]29[/C][C]33.4853[/C][C]-4.48532[/C][/ROW]
[ROW][C]40[/C][C]35[/C][C]34.2308[/C][C]0.769193[/C][/ROW]
[ROW][C]41[/C][C]37[/C][C]33.9497[/C][C]3.05028[/C][/ROW]
[ROW][C]42[/C][C]34[/C][C]33.7016[/C][C]0.298418[/C][/ROW]
[ROW][C]43[/C][C]38[/C][C]34.059[/C][C]3.94103[/C][/ROW]
[ROW][C]44[/C][C]35[/C][C]33.3554[/C][C]1.64459[/C][/ROW]
[ROW][C]45[/C][C]38[/C][C]31.6743[/C][C]6.3257[/C][/ROW]
[ROW][C]46[/C][C]37[/C][C]34.0526[/C][C]2.94741[/C][/ROW]
[ROW][C]47[/C][C]38[/C][C]36.4216[/C][C]1.57836[/C][/ROW]
[ROW][C]48[/C][C]33[/C][C]34.5229[/C][C]-1.52294[/C][/ROW]
[ROW][C]49[/C][C]36[/C][C]36.151[/C][C]-0.15103[/C][/ROW]
[ROW][C]50[/C][C]38[/C][C]33.456[/C][C]4.54396[/C][/ROW]
[ROW][C]51[/C][C]32[/C][C]36.3159[/C][C]-4.3159[/C][/ROW]
[ROW][C]52[/C][C]32[/C][C]32.3203[/C][C]-0.32029[/C][/ROW]
[ROW][C]53[/C][C]32[/C][C]32.9185[/C][C]-0.918533[/C][/ROW]
[ROW][C]54[/C][C]34[/C][C]35.9147[/C][C]-1.91473[/C][/ROW]
[ROW][C]55[/C][C]32[/C][C]32.7455[/C][C]-0.745532[/C][/ROW]
[ROW][C]56[/C][C]37[/C][C]34.7987[/C][C]2.20129[/C][/ROW]
[ROW][C]57[/C][C]39[/C][C]34.4901[/C][C]4.50993[/C][/ROW]
[ROW][C]58[/C][C]29[/C][C]34.6166[/C][C]-5.61658[/C][/ROW]
[ROW][C]59[/C][C]37[/C][C]35.4247[/C][C]1.57528[/C][/ROW]
[ROW][C]60[/C][C]35[/C][C]34.3669[/C][C]0.633082[/C][/ROW]
[ROW][C]61[/C][C]30[/C][C]30.6156[/C][C]-0.615565[/C][/ROW]
[ROW][C]62[/C][C]38[/C][C]34.6094[/C][C]3.39057[/C][/ROW]
[ROW][C]63[/C][C]34[/C][C]35.0236[/C][C]-1.0236[/C][/ROW]
[ROW][C]64[/C][C]31[/C][C]34.1909[/C][C]-3.19088[/C][/ROW]
[ROW][C]65[/C][C]34[/C][C]32.8085[/C][C]1.19147[/C][/ROW]
[ROW][C]66[/C][C]35[/C][C]36.1544[/C][C]-1.15444[/C][/ROW]
[ROW][C]67[/C][C]36[/C][C]34.7509[/C][C]1.24909[/C][/ROW]
[ROW][C]68[/C][C]30[/C][C]31.8188[/C][C]-1.81878[/C][/ROW]
[ROW][C]69[/C][C]39[/C][C]36.3[/C][C]2.70002[/C][/ROW]
[ROW][C]70[/C][C]35[/C][C]35.6459[/C][C]-0.645936[/C][/ROW]
[ROW][C]71[/C][C]38[/C][C]34.4759[/C][C]3.52406[/C][/ROW]
[ROW][C]72[/C][C]31[/C][C]35.476[/C][C]-4.47602[/C][/ROW]
[ROW][C]73[/C][C]34[/C][C]37.0333[/C][C]-3.03329[/C][/ROW]
[ROW][C]74[/C][C]38[/C][C]37.8783[/C][C]0.121721[/C][/ROW]
[ROW][C]75[/C][C]34[/C][C]31.741[/C][C]2.25905[/C][/ROW]
[ROW][C]76[/C][C]39[/C][C]32.7384[/C][C]6.26161[/C][/ROW]
[ROW][C]77[/C][C]37[/C][C]35.689[/C][C]1.31096[/C][/ROW]
[ROW][C]78[/C][C]34[/C][C]32.8691[/C][C]1.13092[/C][/ROW]
[ROW][C]79[/C][C]28[/C][C]32.7749[/C][C]-4.77488[/C][/ROW]
[ROW][C]80[/C][C]37[/C][C]31.3148[/C][C]5.68522[/C][/ROW]
[ROW][C]81[/C][C]33[/C][C]35.5851[/C][C]-2.58509[/C][/ROW]
[ROW][C]82[/C][C]35[/C][C]36.0026[/C][C]-1.00262[/C][/ROW]
[ROW][C]83[/C][C]37[/C][C]33.9454[/C][C]3.05465[/C][/ROW]
[ROW][C]84[/C][C]32[/C][C]34.4036[/C][C]-2.40358[/C][/ROW]
[ROW][C]85[/C][C]33[/C][C]33.3119[/C][C]-0.31194[/C][/ROW]
[ROW][C]86[/C][C]38[/C][C]36.5078[/C][C]1.49222[/C][/ROW]
[ROW][C]87[/C][C]33[/C][C]34.4617[/C][C]-1.46167[/C][/ROW]
[ROW][C]88[/C][C]29[/C][C]33.118[/C][C]-4.11802[/C][/ROW]
[ROW][C]89[/C][C]33[/C][C]33.2505[/C][C]-0.250455[/C][/ROW]
[ROW][C]90[/C][C]31[/C][C]34.8531[/C][C]-3.85306[/C][/ROW]
[ROW][C]91[/C][C]36[/C][C]33.1529[/C][C]2.8471[/C][/ROW]
[ROW][C]92[/C][C]35[/C][C]37.6072[/C][C]-2.60718[/C][/ROW]
[ROW][C]93[/C][C]32[/C][C]31.7328[/C][C]0.267205[/C][/ROW]
[ROW][C]94[/C][C]29[/C][C]32.4249[/C][C]-3.42488[/C][/ROW]
[ROW][C]95[/C][C]39[/C][C]35.6822[/C][C]3.31782[/C][/ROW]
[ROW][C]96[/C][C]37[/C][C]34.604[/C][C]2.39605[/C][/ROW]
[ROW][C]97[/C][C]35[/C][C]33.4976[/C][C]1.50238[/C][/ROW]
[ROW][C]98[/C][C]37[/C][C]34.7473[/C][C]2.25275[/C][/ROW]
[ROW][C]99[/C][C]32[/C][C]35.3666[/C][C]-3.36663[/C][/ROW]
[ROW][C]100[/C][C]38[/C][C]35.515[/C][C]2.48499[/C][/ROW]
[ROW][C]101[/C][C]37[/C][C]34.7565[/C][C]2.24355[/C][/ROW]
[ROW][C]102[/C][C]36[/C][C]36.5627[/C][C]-0.562653[/C][/ROW]
[ROW][C]103[/C][C]32[/C][C]31.7324[/C][C]0.267604[/C][/ROW]
[ROW][C]104[/C][C]33[/C][C]36.6168[/C][C]-3.61681[/C][/ROW]
[ROW][C]105[/C][C]40[/C][C]32.6624[/C][C]7.33765[/C][/ROW]
[ROW][C]106[/C][C]38[/C][C]35.2451[/C][C]2.7549[/C][/ROW]
[ROW][C]107[/C][C]41[/C][C]36.4297[/C][C]4.57025[/C][/ROW]
[ROW][C]108[/C][C]36[/C][C]34.4695[/C][C]1.53051[/C][/ROW]
[ROW][C]109[/C][C]43[/C][C]36.3539[/C][C]6.6461[/C][/ROW]
[ROW][C]110[/C][C]30[/C][C]34.6293[/C][C]-4.62928[/C][/ROW]
[ROW][C]111[/C][C]31[/C][C]33.8462[/C][C]-2.84616[/C][/ROW]
[ROW][C]112[/C][C]32[/C][C]38.1304[/C][C]-6.13036[/C][/ROW]
[ROW][C]113[/C][C]32[/C][C]32.8408[/C][C]-0.840774[/C][/ROW]
[ROW][C]114[/C][C]37[/C][C]34.0583[/C][C]2.94167[/C][/ROW]
[ROW][C]115[/C][C]37[/C][C]34.2951[/C][C]2.70491[/C][/ROW]
[ROW][C]116[/C][C]33[/C][C]36.3361[/C][C]-3.33613[/C][/ROW]
[ROW][C]117[/C][C]34[/C][C]36.8367[/C][C]-2.83673[/C][/ROW]
[ROW][C]118[/C][C]33[/C][C]34.6718[/C][C]-1.67178[/C][/ROW]
[ROW][C]119[/C][C]38[/C][C]35.5325[/C][C]2.46755[/C][/ROW]
[ROW][C]120[/C][C]33[/C][C]34.8858[/C][C]-1.88583[/C][/ROW]
[ROW][C]121[/C][C]31[/C][C]31.362[/C][C]-0.362043[/C][/ROW]
[ROW][C]122[/C][C]38[/C][C]36.6235[/C][C]1.3765[/C][/ROW]
[ROW][C]123[/C][C]37[/C][C]36.5177[/C][C]0.482321[/C][/ROW]
[ROW][C]124[/C][C]36[/C][C]33.0952[/C][C]2.90478[/C][/ROW]
[ROW][C]125[/C][C]31[/C][C]34.155[/C][C]-3.155[/C][/ROW]
[ROW][C]126[/C][C]39[/C][C]34.1564[/C][C]4.84364[/C][/ROW]
[ROW][C]127[/C][C]44[/C][C]37.061[/C][C]6.93903[/C][/ROW]
[ROW][C]128[/C][C]33[/C][C]35.5871[/C][C]-2.58715[/C][/ROW]
[ROW][C]129[/C][C]35[/C][C]33.4438[/C][C]1.55619[/C][/ROW]
[ROW][C]130[/C][C]32[/C][C]34.2038[/C][C]-2.2038[/C][/ROW]
[ROW][C]131[/C][C]28[/C][C]32.1423[/C][C]-4.14234[/C][/ROW]
[ROW][C]132[/C][C]40[/C][C]36.2067[/C][C]3.79327[/C][/ROW]
[ROW][C]133[/C][C]27[/C][C]31.8745[/C][C]-4.87447[/C][/ROW]
[ROW][C]134[/C][C]37[/C][C]35.9979[/C][C]1.00206[/C][/ROW]
[ROW][C]135[/C][C]32[/C][C]32.2895[/C][C]-0.289538[/C][/ROW]
[ROW][C]136[/C][C]28[/C][C]27.8921[/C][C]0.107943[/C][/ROW]
[ROW][C]137[/C][C]34[/C][C]34.5468[/C][C]-0.546847[/C][/ROW]
[ROW][C]138[/C][C]30[/C][C]33.6808[/C][C]-3.68079[/C][/ROW]
[ROW][C]139[/C][C]35[/C][C]33.9793[/C][C]1.02072[/C][/ROW]
[ROW][C]140[/C][C]31[/C][C]34.2529[/C][C]-3.25294[/C][/ROW]
[ROW][C]141[/C][C]32[/C][C]34.4698[/C][C]-2.46978[/C][/ROW]
[ROW][C]142[/C][C]30[/C][C]35.8881[/C][C]-5.88809[/C][/ROW]
[ROW][C]143[/C][C]30[/C][C]35.2479[/C][C]-5.24791[/C][/ROW]
[ROW][C]144[/C][C]31[/C][C]29.8375[/C][C]1.16251[/C][/ROW]
[ROW][C]145[/C][C]40[/C][C]32.8232[/C][C]7.17678[/C][/ROW]
[ROW][C]146[/C][C]32[/C][C]31.7956[/C][C]0.204436[/C][/ROW]
[ROW][C]147[/C][C]36[/C][C]34.6478[/C][C]1.35216[/C][/ROW]
[ROW][C]148[/C][C]32[/C][C]33.3243[/C][C]-1.32428[/C][/ROW]
[ROW][C]149[/C][C]35[/C][C]32.8726[/C][C]2.12737[/C][/ROW]
[ROW][C]150[/C][C]38[/C][C]36.2238[/C][C]1.7762[/C][/ROW]
[ROW][C]151[/C][C]42[/C][C]35.4467[/C][C]6.55334[/C][/ROW]
[ROW][C]152[/C][C]34[/C][C]36.5579[/C][C]-2.55794[/C][/ROW]
[ROW][C]153[/C][C]35[/C][C]36.9399[/C][C]-1.93988[/C][/ROW]
[ROW][C]154[/C][C]38[/C][C]33.8657[/C][C]4.13435[/C][/ROW]
[ROW][C]155[/C][C]33[/C][C]32.1724[/C][C]0.827582[/C][/ROW]
[ROW][C]156[/C][C]36[/C][C]33.1529[/C][C]2.8471[/C][/ROW]
[ROW][C]157[/C][C]32[/C][C]35.4234[/C][C]-3.42337[/C][/ROW]
[ROW][C]158[/C][C]33[/C][C]35.5871[/C][C]-2.58715[/C][/ROW]
[ROW][C]159[/C][C]34[/C][C]34.0951[/C][C]-0.0950958[/C][/ROW]
[ROW][C]160[/C][C]32[/C][C]35.6506[/C][C]-3.65056[/C][/ROW]
[ROW][C]161[/C][C]34[/C][C]34.7795[/C][C]-0.77946[/C][/ROW]
[ROW][C]162[/C][C]27[/C][C]29.76[/C][C]-2.75997[/C][/ROW]
[ROW][C]163[/C][C]31[/C][C]30.6023[/C][C]0.397689[/C][/ROW]
[ROW][C]164[/C][C]38[/C][C]33.827[/C][C]4.17302[/C][/ROW]
[ROW][C]165[/C][C]34[/C][C]36.2461[/C][C]-2.24613[/C][/ROW]
[ROW][C]166[/C][C]24[/C][C]30.972[/C][C]-6.97203[/C][/ROW]
[ROW][C]167[/C][C]30[/C][C]33.9242[/C][C]-3.9242[/C][/ROW]
[ROW][C]168[/C][C]26[/C][C]29.7256[/C][C]-3.72559[/C][/ROW]
[ROW][C]169[/C][C]34[/C][C]35.7371[/C][C]-1.73709[/C][/ROW]
[ROW][C]170[/C][C]27[/C][C]35.464[/C][C]-8.46402[/C][/ROW]
[ROW][C]171[/C][C]37[/C][C]32.0433[/C][C]4.95672[/C][/ROW]
[ROW][C]172[/C][C]36[/C][C]35.8292[/C][C]0.170759[/C][/ROW]
[ROW][C]173[/C][C]41[/C][C]34.5327[/C][C]6.46734[/C][/ROW]
[ROW][C]174[/C][C]29[/C][C]29.1476[/C][C]-0.147633[/C][/ROW]
[ROW][C]175[/C][C]36[/C][C]31.2176[/C][C]4.78243[/C][/ROW]
[ROW][C]176[/C][C]32[/C][C]35.1436[/C][C]-3.14363[/C][/ROW]
[ROW][C]177[/C][C]37[/C][C]33.296[/C][C]3.70398[/C][/ROW]
[ROW][C]178[/C][C]30[/C][C]31.8351[/C][C]-1.83512[/C][/ROW]
[ROW][C]179[/C][C]31[/C][C]33.0135[/C][C]-2.01347[/C][/ROW]
[ROW][C]180[/C][C]38[/C][C]35.245[/C][C]2.75503[/C][/ROW]
[ROW][C]181[/C][C]36[/C][C]35.1234[/C][C]0.876641[/C][/ROW]
[ROW][C]182[/C][C]35[/C][C]32.3388[/C][C]2.66116[/C][/ROW]
[ROW][C]183[/C][C]31[/C][C]35.7594[/C][C]-4.75937[/C][/ROW]
[ROW][C]184[/C][C]38[/C][C]33.7651[/C][C]4.23485[/C][/ROW]
[ROW][C]185[/C][C]22[/C][C]31.0482[/C][C]-9.0482[/C][/ROW]
[ROW][C]186[/C][C]32[/C][C]35.0181[/C][C]-3.01809[/C][/ROW]
[ROW][C]187[/C][C]36[/C][C]34.6182[/C][C]1.38176[/C][/ROW]
[ROW][C]188[/C][C]39[/C][C]33.0673[/C][C]5.93273[/C][/ROW]
[ROW][C]189[/C][C]28[/C][C]30.8649[/C][C]-2.86492[/C][/ROW]
[ROW][C]190[/C][C]32[/C][C]34.1243[/C][C]-2.12427[/C][/ROW]
[ROW][C]191[/C][C]32[/C][C]34.3943[/C][C]-2.39433[/C][/ROW]
[ROW][C]192[/C][C]38[/C][C]37.3247[/C][C]0.675293[/C][/ROW]
[ROW][C]193[/C][C]32[/C][C]33.575[/C][C]-1.57499[/C][/ROW]
[ROW][C]194[/C][C]35[/C][C]35.4281[/C][C]-0.428064[/C][/ROW]
[ROW][C]195[/C][C]32[/C][C]33.1346[/C][C]-1.1346[/C][/ROW]
[ROW][C]196[/C][C]37[/C][C]36.0769[/C][C]0.923122[/C][/ROW]
[ROW][C]197[/C][C]34[/C][C]33.0045[/C][C]0.995506[/C][/ROW]
[ROW][C]198[/C][C]33[/C][C]35.9144[/C][C]-2.91443[/C][/ROW]
[ROW][C]199[/C][C]33[/C][C]33.2597[/C][C]-0.25967[/C][/ROW]
[ROW][C]200[/C][C]26[/C][C]33.6707[/C][C]-7.6707[/C][/ROW]
[ROW][C]201[/C][C]30[/C][C]32.3924[/C][C]-2.39238[/C][/ROW]
[ROW][C]202[/C][C]24[/C][C]32.4851[/C][C]-8.48513[/C][/ROW]
[ROW][C]203[/C][C]34[/C][C]32.6782[/C][C]1.32185[/C][/ROW]
[ROW][C]204[/C][C]34[/C][C]32.5707[/C][C]1.42928[/C][/ROW]
[ROW][C]205[/C][C]33[/C][C]34.5855[/C][C]-1.58546[/C][/ROW]
[ROW][C]206[/C][C]34[/C][C]35.2513[/C][C]-1.25134[/C][/ROW]
[ROW][C]207[/C][C]35[/C][C]36.1087[/C][C]-1.10865[/C][/ROW]
[ROW][C]208[/C][C]35[/C][C]34.8306[/C][C]0.169375[/C][/ROW]
[ROW][C]209[/C][C]36[/C][C]33.2294[/C][C]2.77058[/C][/ROW]
[ROW][C]210[/C][C]34[/C][C]34.2271[/C][C]-0.227135[/C][/ROW]
[ROW][C]211[/C][C]34[/C][C]33.001[/C][C]0.999049[/C][/ROW]
[ROW][C]212[/C][C]41[/C][C]38.5653[/C][C]2.43472[/C][/ROW]
[ROW][C]213[/C][C]32[/C][C]36.4839[/C][C]-4.48386[/C][/ROW]
[ROW][C]214[/C][C]30[/C][C]33.7121[/C][C]-3.71207[/C][/ROW]
[ROW][C]215[/C][C]35[/C][C]34.5424[/C][C]0.457623[/C][/ROW]
[ROW][C]216[/C][C]28[/C][C]30.1604[/C][C]-2.16037[/C][/ROW]
[ROW][C]217[/C][C]33[/C][C]35.4506[/C][C]-2.45064[/C][/ROW]
[ROW][C]218[/C][C]39[/C][C]34.4932[/C][C]4.50676[/C][/ROW]
[ROW][C]219[/C][C]36[/C][C]33.8106[/C][C]2.18937[/C][/ROW]
[ROW][C]220[/C][C]36[/C][C]36.608[/C][C]-0.607996[/C][/ROW]
[ROW][C]221[/C][C]35[/C][C]33.6951[/C][C]1.30486[/C][/ROW]
[ROW][C]222[/C][C]38[/C][C]34.9063[/C][C]3.09371[/C][/ROW]
[ROW][C]223[/C][C]33[/C][C]33.1698[/C][C]-0.169752[/C][/ROW]
[ROW][C]224[/C][C]31[/C][C]33.3408[/C][C]-2.34084[/C][/ROW]
[ROW][C]225[/C][C]34[/C][C]33.8479[/C][C]0.152139[/C][/ROW]
[ROW][C]226[/C][C]32[/C][C]34.6439[/C][C]-2.64394[/C][/ROW]
[ROW][C]227[/C][C]31[/C][C]33.1468[/C][C]-2.14681[/C][/ROW]
[ROW][C]228[/C][C]33[/C][C]34.1632[/C][C]-1.16317[/C][/ROW]
[ROW][C]229[/C][C]34[/C][C]32.6193[/C][C]1.38068[/C][/ROW]
[ROW][C]230[/C][C]34[/C][C]34.3603[/C][C]-0.360268[/C][/ROW]
[ROW][C]231[/C][C]34[/C][C]32.5265[/C][C]1.4735[/C][/ROW]
[ROW][C]232[/C][C]33[/C][C]35.0802[/C][C]-2.08024[/C][/ROW]
[ROW][C]233[/C][C]32[/C][C]34.6862[/C][C]-2.68623[/C][/ROW]
[ROW][C]234[/C][C]41[/C][C]33.987[/C][C]7.01305[/C][/ROW]
[ROW][C]235[/C][C]34[/C][C]33.4543[/C][C]0.545657[/C][/ROW]
[ROW][C]236[/C][C]36[/C][C]32.3547[/C][C]3.64535[/C][/ROW]
[ROW][C]237[/C][C]37[/C][C]30.9238[/C][C]6.0762[/C][/ROW]
[ROW][C]238[/C][C]36[/C][C]30.5267[/C][C]5.47333[/C][/ROW]
[ROW][C]239[/C][C]29[/C][C]33.2689[/C][C]-4.26887[/C][/ROW]
[ROW][C]240[/C][C]37[/C][C]32.0472[/C][C]4.95278[/C][/ROW]
[ROW][C]241[/C][C]27[/C][C]33.6117[/C][C]-6.61171[/C][/ROW]
[ROW][C]242[/C][C]35[/C][C]33.584[/C][C]1.41602[/C][/ROW]
[ROW][C]243[/C][C]28[/C][C]30.8153[/C][C]-2.81533[/C][/ROW]
[ROW][C]244[/C][C]35[/C][C]33.4905[/C][C]1.50949[/C][/ROW]
[ROW][C]245[/C][C]37[/C][C]33.1875[/C][C]3.81247[/C][/ROW]
[ROW][C]246[/C][C]29[/C][C]33.9335[/C][C]-4.93347[/C][/ROW]
[ROW][C]247[/C][C]32[/C][C]34.5011[/C][C]-2.50105[/C][/ROW]
[ROW][C]248[/C][C]36[/C][C]31.6228[/C][C]4.3772[/C][/ROW]
[ROW][C]249[/C][C]19[/C][C]27.57[/C][C]-8.56996[/C][/ROW]
[ROW][C]250[/C][C]21[/C][C]27.2936[/C][C]-6.29365[/C][/ROW]
[ROW][C]251[/C][C]31[/C][C]33.7847[/C][C]-2.78474[/C][/ROW]
[ROW][C]252[/C][C]33[/C][C]32.7131[/C][C]0.286936[/C][/ROW]
[ROW][C]253[/C][C]36[/C][C]34.1872[/C][C]1.81282[/C][/ROW]
[ROW][C]254[/C][C]33[/C][C]33.6963[/C][C]-0.696291[/C][/ROW]
[ROW][C]255[/C][C]37[/C][C]33.1534[/C][C]3.84655[/C][/ROW]
[ROW][C]256[/C][C]34[/C][C]33.5292[/C][C]0.47081[/C][/ROW]
[ROW][C]257[/C][C]35[/C][C]35.3091[/C][C]-0.309107[/C][/ROW]
[ROW][C]258[/C][C]31[/C][C]32.9255[/C][C]-1.92554[/C][/ROW]
[ROW][C]259[/C][C]37[/C][C]33.8138[/C][C]3.18623[/C][/ROW]
[ROW][C]260[/C][C]35[/C][C]31.7466[/C][C]3.25345[/C][/ROW]
[ROW][C]261[/C][C]27[/C][C]32.5063[/C][C]-5.50628[/C][/ROW]
[ROW][C]262[/C][C]34[/C][C]35.4287[/C][C]-1.4287[/C][/ROW]
[ROW][C]263[/C][C]40[/C][C]34.0002[/C][C]5.99983[/C][/ROW]
[ROW][C]264[/C][C]29[/C][C]33.4546[/C][C]-4.45462[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253413&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253413&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
14135.45735.54272
23933.94875.05127
33035.0563-5.05626
43134.0704-3.0704
53434.9826-0.982643
63532.06122.93885
73932.6736.32705
83435.3721-1.37212
93634.81371.18632
103736.24170.758324
113833.54074.45927
123634.44041.55957
133834.67033.32972
143935.84563.1544
153336.2691-3.26906
163233.5404-1.54042
173633.49562.50437
183837.23730.762672
193936.59172.40829
203233.3013-1.30132
213234.1681-2.16806
223133.0031-2.00315
233936.35332.64669
243736.31990.680079
253934.11764.88236
264134.09546.90459
273635.17090.829085
283335.3506-2.35055
293334.0626-1.06261
303433.69640.303601
313133.3917-2.39171
322732.664-5.66401
333733.08733.91265
343436.1148-2.11482
353432.43491.5651
363233.5967-1.59671
372931.7282-2.72817
383633.75562.2444
392933.4853-4.48532
403534.23080.769193
413733.94973.05028
423433.70160.298418
433834.0593.94103
443533.35541.64459
453831.67436.3257
463734.05262.94741
473836.42161.57836
483334.5229-1.52294
493636.151-0.15103
503833.4564.54396
513236.3159-4.3159
523232.3203-0.32029
533232.9185-0.918533
543435.9147-1.91473
553232.7455-0.745532
563734.79872.20129
573934.49014.50993
582934.6166-5.61658
593735.42471.57528
603534.36690.633082
613030.6156-0.615565
623834.60943.39057
633435.0236-1.0236
643134.1909-3.19088
653432.80851.19147
663536.1544-1.15444
673634.75091.24909
683031.8188-1.81878
693936.32.70002
703535.6459-0.645936
713834.47593.52406
723135.476-4.47602
733437.0333-3.03329
743837.87830.121721
753431.7412.25905
763932.73846.26161
773735.6891.31096
783432.86911.13092
792832.7749-4.77488
803731.31485.68522
813335.5851-2.58509
823536.0026-1.00262
833733.94543.05465
843234.4036-2.40358
853333.3119-0.31194
863836.50781.49222
873334.4617-1.46167
882933.118-4.11802
893333.2505-0.250455
903134.8531-3.85306
913633.15292.8471
923537.6072-2.60718
933231.73280.267205
942932.4249-3.42488
953935.68223.31782
963734.6042.39605
973533.49761.50238
983734.74732.25275
993235.3666-3.36663
1003835.5152.48499
1013734.75652.24355
1023636.5627-0.562653
1033231.73240.267604
1043336.6168-3.61681
1054032.66247.33765
1063835.24512.7549
1074136.42974.57025
1083634.46951.53051
1094336.35396.6461
1103034.6293-4.62928
1113133.8462-2.84616
1123238.1304-6.13036
1133232.8408-0.840774
1143734.05832.94167
1153734.29512.70491
1163336.3361-3.33613
1173436.8367-2.83673
1183334.6718-1.67178
1193835.53252.46755
1203334.8858-1.88583
1213131.362-0.362043
1223836.62351.3765
1233736.51770.482321
1243633.09522.90478
1253134.155-3.155
1263934.15644.84364
1274437.0616.93903
1283335.5871-2.58715
1293533.44381.55619
1303234.2038-2.2038
1312832.1423-4.14234
1324036.20673.79327
1332731.8745-4.87447
1343735.99791.00206
1353232.2895-0.289538
1362827.89210.107943
1373434.5468-0.546847
1383033.6808-3.68079
1393533.97931.02072
1403134.2529-3.25294
1413234.4698-2.46978
1423035.8881-5.88809
1433035.2479-5.24791
1443129.83751.16251
1454032.82327.17678
1463231.79560.204436
1473634.64781.35216
1483233.3243-1.32428
1493532.87262.12737
1503836.22381.7762
1514235.44676.55334
1523436.5579-2.55794
1533536.9399-1.93988
1543833.86574.13435
1553332.17240.827582
1563633.15292.8471
1573235.4234-3.42337
1583335.5871-2.58715
1593434.0951-0.0950958
1603235.6506-3.65056
1613434.7795-0.77946
1622729.76-2.75997
1633130.60230.397689
1643833.8274.17302
1653436.2461-2.24613
1662430.972-6.97203
1673033.9242-3.9242
1682629.7256-3.72559
1693435.7371-1.73709
1702735.464-8.46402
1713732.04334.95672
1723635.82920.170759
1734134.53276.46734
1742929.1476-0.147633
1753631.21764.78243
1763235.1436-3.14363
1773733.2963.70398
1783031.8351-1.83512
1793133.0135-2.01347
1803835.2452.75503
1813635.12340.876641
1823532.33882.66116
1833135.7594-4.75937
1843833.76514.23485
1852231.0482-9.0482
1863235.0181-3.01809
1873634.61821.38176
1883933.06735.93273
1892830.8649-2.86492
1903234.1243-2.12427
1913234.3943-2.39433
1923837.32470.675293
1933233.575-1.57499
1943535.4281-0.428064
1953233.1346-1.1346
1963736.07690.923122
1973433.00450.995506
1983335.9144-2.91443
1993333.2597-0.25967
2002633.6707-7.6707
2013032.3924-2.39238
2022432.4851-8.48513
2033432.67821.32185
2043432.57071.42928
2053334.5855-1.58546
2063435.2513-1.25134
2073536.1087-1.10865
2083534.83060.169375
2093633.22942.77058
2103434.2271-0.227135
2113433.0010.999049
2124138.56532.43472
2133236.4839-4.48386
2143033.7121-3.71207
2153534.54240.457623
2162830.1604-2.16037
2173335.4506-2.45064
2183934.49324.50676
2193633.81062.18937
2203636.608-0.607996
2213533.69511.30486
2223834.90633.09371
2233333.1698-0.169752
2243133.3408-2.34084
2253433.84790.152139
2263234.6439-2.64394
2273133.1468-2.14681
2283334.1632-1.16317
2293432.61931.38068
2303434.3603-0.360268
2313432.52651.4735
2323335.0802-2.08024
2333234.6862-2.68623
2344133.9877.01305
2353433.45430.545657
2363632.35473.64535
2373730.92386.0762
2383630.52675.47333
2392933.2689-4.26887
2403732.04724.95278
2412733.6117-6.61171
2423533.5841.41602
2432830.8153-2.81533
2443533.49051.50949
2453733.18753.81247
2462933.9335-4.93347
2473234.5011-2.50105
2483631.62284.3772
2491927.57-8.56996
2502127.2936-6.29365
2513133.7847-2.78474
2523332.71310.286936
2533634.18721.81282
2543333.6963-0.696291
2553733.15343.84655
2563433.52920.47081
2573535.3091-0.309107
2583132.9255-1.92554
2593733.81383.18623
2603531.74663.25345
2612732.5063-5.50628
2623435.4287-1.4287
2634034.00025.99983
2642933.4546-4.45462






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.9188710.1622570.0811287
100.9135810.1728390.0864194
110.8952120.2095750.104788
120.8383790.3232410.161621
130.7905040.4189910.209496
140.7387170.5225660.261283
150.6561730.6876540.343827
160.7338210.5323580.266179
170.6588090.6823820.341191
180.6370610.7258780.362939
190.5781060.8437880.421894
200.5769260.8461480.423074
210.5724650.8550710.427535
220.5579270.8841460.442073
230.5096430.9807130.490357
240.445830.8916590.55417
250.5010170.9979660.498983
260.6387540.7224920.361246
270.5786340.8427330.421366
280.54530.9093990.4547
290.5072390.9855220.492761
300.4516790.9033590.548321
310.4522630.9045250.547737
320.5941920.8116170.405808
330.5879770.8240450.412023
340.5605670.8788670.439433
350.5097220.9805560.490278
360.4599710.9199420.540029
370.4175150.835030.582485
380.3865650.773130.613435
390.4910360.9820730.508964
400.4392920.8785840.560708
410.4076590.8153180.592341
420.3584740.7169480.641526
430.326020.652040.67398
440.2877060.5754110.712294
450.3528380.7056770.647162
460.3643120.7286240.635688
470.3284760.6569510.671524
480.3021310.6042610.697869
490.2611630.5223260.738837
500.2742280.5484550.725772
510.314690.6293790.68531
520.2815420.5630830.718458
530.2452970.4905950.754703
540.2212310.4424610.778769
550.1889360.3778720.811064
560.1761660.3523320.823834
570.1904720.3809430.809528
580.2911950.5823890.708805
590.2613090.5226190.738691
600.2271060.4542120.772894
610.2010410.4020820.798959
620.1931980.3863950.806802
630.1699140.3398280.830086
640.1679550.3359090.832045
650.1436350.2872690.856365
660.1252340.2504690.874766
670.1057840.2115680.894216
680.1163130.2326260.883687
690.1187110.2374210.881289
700.1002180.2004360.899782
710.1061320.2122640.893868
720.1207630.2415270.879237
730.1178430.2356870.882157
740.09883010.197660.90117
750.08517540.1703510.914825
760.1164620.2329230.883538
770.100590.201180.89941
780.08483940.1696790.915161
790.1102760.2205520.889724
800.131780.263560.86822
810.1255620.2511240.874438
820.108320.2166410.89168
830.1031860.2063730.896814
840.09788070.1957610.902119
850.08482390.1696480.915176
860.07498380.1499680.925016
870.06609950.1321990.9339
880.0792870.1585740.920713
890.06596810.1319360.934032
900.06912210.1382440.930878
910.06453470.1290690.935465
920.05758340.1151670.942417
930.04808540.09617080.951915
940.0502450.100490.949755
950.04968750.0993750.950313
960.04567050.0913410.95433
970.03860950.07721910.96139
980.03424570.06849150.965754
990.03441360.06882710.965586
1000.03188450.0637690.968115
1010.02834390.05668790.971656
1020.02340410.04680820.976596
1030.01934470.03868940.980655
1040.01947890.03895780.980521
1050.04623970.09247930.95376
1060.04352150.08704310.956478
1070.05459130.1091830.945409
1080.0470550.09410990.952945
1090.08077570.1615510.919224
1100.09601730.1920350.903983
1110.09246840.1849370.907532
1120.1261720.2523440.873828
1130.1131220.2262440.886878
1140.1108520.2217040.889148
1150.1060630.2121260.893937
1160.1031870.2063730.896813
1170.09803450.1960690.901966
1180.08585470.1717090.914145
1190.0805760.1611520.919424
1200.07158710.1431740.928413
1210.06242350.1248470.937577
1220.05634970.1126990.94365
1230.04766880.09533770.952331
1240.04597850.0919570.954021
1250.04418970.08837950.95581
1260.05519480.110390.944805
1270.1023720.2047440.897628
1280.09684810.1936960.903152
1290.08572430.1714490.914276
1300.07979460.1595890.920205
1310.08874620.1774920.911254
1320.0944210.1888420.905579
1330.1132020.2264050.886798
1340.0994680.1989360.900532
1350.08546560.1709310.914534
1360.07414910.1482980.925851
1370.06290420.1258080.937096
1380.06572050.1314410.934279
1390.05596820.1119360.944032
1400.05531780.1106360.944682
1410.05326590.1065320.946734
1420.07590270.1518050.924097
1430.09195650.1839130.908044
1440.08507950.1701590.914921
1450.1505630.3011270.849437
1460.1381630.2763270.861837
1470.1226650.2453290.877335
1480.1083190.2166370.891681
1490.09883440.1976690.901166
1500.08734820.1746960.912652
1510.1385050.2770110.861495
1520.1295430.2590860.870457
1530.1180250.2360490.881975
1540.1278540.2557090.872146
1550.1106270.2212530.889373
1560.110690.221380.88931
1570.1133720.2267440.886628
1580.1049520.2099040.895048
1590.09144570.1828910.908554
1600.09728080.1945620.902719
1610.08360050.1672010.9164
1620.07903050.1580610.920969
1630.06862090.1372420.931379
1640.08593160.1718630.914068
1650.07841760.1568350.921582
1660.1412070.2824130.858793
1670.1424930.2849860.857507
1680.1393870.2787740.860613
1690.1262180.2524360.873782
1700.2511330.5022650.748867
1710.2854350.570870.714565
1720.2551530.5103070.744847
1730.3409880.6819760.659012
1740.307320.614640.69268
1750.3631240.7262470.636876
1760.3498360.6996730.650164
1770.3566090.7132190.643391
1780.3294990.6589970.670501
1790.3030430.6060870.696957
1800.2874360.5748720.712564
1810.2600020.5200050.739998
1820.2572860.5145730.742714
1830.2677290.5354570.732271
1840.3174530.6349060.682547
1850.5778140.8443710.422186
1860.5701520.8596960.429848
1870.5566660.8866680.443334
1880.6740580.6518840.325942
1890.6574040.6851920.342596
1900.6468670.7062650.353133
1910.6392980.7214050.360702
1920.6036470.7927060.396353
1930.5698490.8603030.430151
1940.5294150.9411690.470585
1950.4907970.9815940.509203
1960.4529450.9058910.547055
1970.4441570.8883140.555843
1980.4227480.8454960.577252
1990.3823530.7647060.617647
2000.5056310.9887380.494369
2010.473280.946560.52672
2020.6563070.6873850.343693
2030.6219140.7561730.378086
2040.5829870.8340260.417013
2050.5439150.9121710.456085
2060.5044170.9911660.495583
2070.4615750.923150.538425
2080.4176030.8352060.582397
2090.391560.783120.60844
2100.3529570.7059150.647043
2110.3148890.6297770.685111
2120.284680.5693610.71532
2130.3383790.6767590.661621
2140.3198650.639730.680135
2150.2794660.5589320.720534
2160.2457330.4914650.754267
2170.219060.4381190.78094
2180.2502630.5005260.749737
2190.2216490.4432990.778351
2200.1946190.3892380.805381
2210.1644080.3288150.835592
2220.15960.3192010.8404
2230.1312420.2624850.868758
2240.1126230.2252470.887377
2250.09069190.1813840.909308
2260.09461610.1892320.905384
2270.07776610.1555320.922234
2280.06110510.122210.938895
2290.04735090.09470170.952649
2300.03659690.07319380.963403
2310.03518930.07037860.964811
2320.05417340.1083470.945827
2330.04298180.08596360.957018
2340.1426280.2852550.857372
2350.1142050.2284110.885795
2360.1067870.2135740.893213
2370.1017190.2034370.898281
2380.2267590.4535180.773241
2390.1883660.3767330.811634
2400.2849380.5698770.715062
2410.3862150.7724310.613785
2420.3219750.6439490.678025
2430.2707720.5415440.729228
2440.2280130.4560250.771987
2450.4252830.8505670.574717
2460.697910.604180.30209
2470.6746930.6506150.325307
2480.6105620.7788770.389438
2490.6603920.6792150.339608
2500.6014740.7970520.398526
2510.675390.6492210.32461
2520.629560.740880.37044
2530.5900940.8198110.409906
2540.8340320.3319350.165968
2550.6982280.6035430.301772

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.918871 & 0.162257 & 0.0811287 \tabularnewline
10 & 0.913581 & 0.172839 & 0.0864194 \tabularnewline
11 & 0.895212 & 0.209575 & 0.104788 \tabularnewline
12 & 0.838379 & 0.323241 & 0.161621 \tabularnewline
13 & 0.790504 & 0.418991 & 0.209496 \tabularnewline
14 & 0.738717 & 0.522566 & 0.261283 \tabularnewline
15 & 0.656173 & 0.687654 & 0.343827 \tabularnewline
16 & 0.733821 & 0.532358 & 0.266179 \tabularnewline
17 & 0.658809 & 0.682382 & 0.341191 \tabularnewline
18 & 0.637061 & 0.725878 & 0.362939 \tabularnewline
19 & 0.578106 & 0.843788 & 0.421894 \tabularnewline
20 & 0.576926 & 0.846148 & 0.423074 \tabularnewline
21 & 0.572465 & 0.855071 & 0.427535 \tabularnewline
22 & 0.557927 & 0.884146 & 0.442073 \tabularnewline
23 & 0.509643 & 0.980713 & 0.490357 \tabularnewline
24 & 0.44583 & 0.891659 & 0.55417 \tabularnewline
25 & 0.501017 & 0.997966 & 0.498983 \tabularnewline
26 & 0.638754 & 0.722492 & 0.361246 \tabularnewline
27 & 0.578634 & 0.842733 & 0.421366 \tabularnewline
28 & 0.5453 & 0.909399 & 0.4547 \tabularnewline
29 & 0.507239 & 0.985522 & 0.492761 \tabularnewline
30 & 0.451679 & 0.903359 & 0.548321 \tabularnewline
31 & 0.452263 & 0.904525 & 0.547737 \tabularnewline
32 & 0.594192 & 0.811617 & 0.405808 \tabularnewline
33 & 0.587977 & 0.824045 & 0.412023 \tabularnewline
34 & 0.560567 & 0.878867 & 0.439433 \tabularnewline
35 & 0.509722 & 0.980556 & 0.490278 \tabularnewline
36 & 0.459971 & 0.919942 & 0.540029 \tabularnewline
37 & 0.417515 & 0.83503 & 0.582485 \tabularnewline
38 & 0.386565 & 0.77313 & 0.613435 \tabularnewline
39 & 0.491036 & 0.982073 & 0.508964 \tabularnewline
40 & 0.439292 & 0.878584 & 0.560708 \tabularnewline
41 & 0.407659 & 0.815318 & 0.592341 \tabularnewline
42 & 0.358474 & 0.716948 & 0.641526 \tabularnewline
43 & 0.32602 & 0.65204 & 0.67398 \tabularnewline
44 & 0.287706 & 0.575411 & 0.712294 \tabularnewline
45 & 0.352838 & 0.705677 & 0.647162 \tabularnewline
46 & 0.364312 & 0.728624 & 0.635688 \tabularnewline
47 & 0.328476 & 0.656951 & 0.671524 \tabularnewline
48 & 0.302131 & 0.604261 & 0.697869 \tabularnewline
49 & 0.261163 & 0.522326 & 0.738837 \tabularnewline
50 & 0.274228 & 0.548455 & 0.725772 \tabularnewline
51 & 0.31469 & 0.629379 & 0.68531 \tabularnewline
52 & 0.281542 & 0.563083 & 0.718458 \tabularnewline
53 & 0.245297 & 0.490595 & 0.754703 \tabularnewline
54 & 0.221231 & 0.442461 & 0.778769 \tabularnewline
55 & 0.188936 & 0.377872 & 0.811064 \tabularnewline
56 & 0.176166 & 0.352332 & 0.823834 \tabularnewline
57 & 0.190472 & 0.380943 & 0.809528 \tabularnewline
58 & 0.291195 & 0.582389 & 0.708805 \tabularnewline
59 & 0.261309 & 0.522619 & 0.738691 \tabularnewline
60 & 0.227106 & 0.454212 & 0.772894 \tabularnewline
61 & 0.201041 & 0.402082 & 0.798959 \tabularnewline
62 & 0.193198 & 0.386395 & 0.806802 \tabularnewline
63 & 0.169914 & 0.339828 & 0.830086 \tabularnewline
64 & 0.167955 & 0.335909 & 0.832045 \tabularnewline
65 & 0.143635 & 0.287269 & 0.856365 \tabularnewline
66 & 0.125234 & 0.250469 & 0.874766 \tabularnewline
67 & 0.105784 & 0.211568 & 0.894216 \tabularnewline
68 & 0.116313 & 0.232626 & 0.883687 \tabularnewline
69 & 0.118711 & 0.237421 & 0.881289 \tabularnewline
70 & 0.100218 & 0.200436 & 0.899782 \tabularnewline
71 & 0.106132 & 0.212264 & 0.893868 \tabularnewline
72 & 0.120763 & 0.241527 & 0.879237 \tabularnewline
73 & 0.117843 & 0.235687 & 0.882157 \tabularnewline
74 & 0.0988301 & 0.19766 & 0.90117 \tabularnewline
75 & 0.0851754 & 0.170351 & 0.914825 \tabularnewline
76 & 0.116462 & 0.232923 & 0.883538 \tabularnewline
77 & 0.10059 & 0.20118 & 0.89941 \tabularnewline
78 & 0.0848394 & 0.169679 & 0.915161 \tabularnewline
79 & 0.110276 & 0.220552 & 0.889724 \tabularnewline
80 & 0.13178 & 0.26356 & 0.86822 \tabularnewline
81 & 0.125562 & 0.251124 & 0.874438 \tabularnewline
82 & 0.10832 & 0.216641 & 0.89168 \tabularnewline
83 & 0.103186 & 0.206373 & 0.896814 \tabularnewline
84 & 0.0978807 & 0.195761 & 0.902119 \tabularnewline
85 & 0.0848239 & 0.169648 & 0.915176 \tabularnewline
86 & 0.0749838 & 0.149968 & 0.925016 \tabularnewline
87 & 0.0660995 & 0.132199 & 0.9339 \tabularnewline
88 & 0.079287 & 0.158574 & 0.920713 \tabularnewline
89 & 0.0659681 & 0.131936 & 0.934032 \tabularnewline
90 & 0.0691221 & 0.138244 & 0.930878 \tabularnewline
91 & 0.0645347 & 0.129069 & 0.935465 \tabularnewline
92 & 0.0575834 & 0.115167 & 0.942417 \tabularnewline
93 & 0.0480854 & 0.0961708 & 0.951915 \tabularnewline
94 & 0.050245 & 0.10049 & 0.949755 \tabularnewline
95 & 0.0496875 & 0.099375 & 0.950313 \tabularnewline
96 & 0.0456705 & 0.091341 & 0.95433 \tabularnewline
97 & 0.0386095 & 0.0772191 & 0.96139 \tabularnewline
98 & 0.0342457 & 0.0684915 & 0.965754 \tabularnewline
99 & 0.0344136 & 0.0688271 & 0.965586 \tabularnewline
100 & 0.0318845 & 0.063769 & 0.968115 \tabularnewline
101 & 0.0283439 & 0.0566879 & 0.971656 \tabularnewline
102 & 0.0234041 & 0.0468082 & 0.976596 \tabularnewline
103 & 0.0193447 & 0.0386894 & 0.980655 \tabularnewline
104 & 0.0194789 & 0.0389578 & 0.980521 \tabularnewline
105 & 0.0462397 & 0.0924793 & 0.95376 \tabularnewline
106 & 0.0435215 & 0.0870431 & 0.956478 \tabularnewline
107 & 0.0545913 & 0.109183 & 0.945409 \tabularnewline
108 & 0.047055 & 0.0941099 & 0.952945 \tabularnewline
109 & 0.0807757 & 0.161551 & 0.919224 \tabularnewline
110 & 0.0960173 & 0.192035 & 0.903983 \tabularnewline
111 & 0.0924684 & 0.184937 & 0.907532 \tabularnewline
112 & 0.126172 & 0.252344 & 0.873828 \tabularnewline
113 & 0.113122 & 0.226244 & 0.886878 \tabularnewline
114 & 0.110852 & 0.221704 & 0.889148 \tabularnewline
115 & 0.106063 & 0.212126 & 0.893937 \tabularnewline
116 & 0.103187 & 0.206373 & 0.896813 \tabularnewline
117 & 0.0980345 & 0.196069 & 0.901966 \tabularnewline
118 & 0.0858547 & 0.171709 & 0.914145 \tabularnewline
119 & 0.080576 & 0.161152 & 0.919424 \tabularnewline
120 & 0.0715871 & 0.143174 & 0.928413 \tabularnewline
121 & 0.0624235 & 0.124847 & 0.937577 \tabularnewline
122 & 0.0563497 & 0.112699 & 0.94365 \tabularnewline
123 & 0.0476688 & 0.0953377 & 0.952331 \tabularnewline
124 & 0.0459785 & 0.091957 & 0.954021 \tabularnewline
125 & 0.0441897 & 0.0883795 & 0.95581 \tabularnewline
126 & 0.0551948 & 0.11039 & 0.944805 \tabularnewline
127 & 0.102372 & 0.204744 & 0.897628 \tabularnewline
128 & 0.0968481 & 0.193696 & 0.903152 \tabularnewline
129 & 0.0857243 & 0.171449 & 0.914276 \tabularnewline
130 & 0.0797946 & 0.159589 & 0.920205 \tabularnewline
131 & 0.0887462 & 0.177492 & 0.911254 \tabularnewline
132 & 0.094421 & 0.188842 & 0.905579 \tabularnewline
133 & 0.113202 & 0.226405 & 0.886798 \tabularnewline
134 & 0.099468 & 0.198936 & 0.900532 \tabularnewline
135 & 0.0854656 & 0.170931 & 0.914534 \tabularnewline
136 & 0.0741491 & 0.148298 & 0.925851 \tabularnewline
137 & 0.0629042 & 0.125808 & 0.937096 \tabularnewline
138 & 0.0657205 & 0.131441 & 0.934279 \tabularnewline
139 & 0.0559682 & 0.111936 & 0.944032 \tabularnewline
140 & 0.0553178 & 0.110636 & 0.944682 \tabularnewline
141 & 0.0532659 & 0.106532 & 0.946734 \tabularnewline
142 & 0.0759027 & 0.151805 & 0.924097 \tabularnewline
143 & 0.0919565 & 0.183913 & 0.908044 \tabularnewline
144 & 0.0850795 & 0.170159 & 0.914921 \tabularnewline
145 & 0.150563 & 0.301127 & 0.849437 \tabularnewline
146 & 0.138163 & 0.276327 & 0.861837 \tabularnewline
147 & 0.122665 & 0.245329 & 0.877335 \tabularnewline
148 & 0.108319 & 0.216637 & 0.891681 \tabularnewline
149 & 0.0988344 & 0.197669 & 0.901166 \tabularnewline
150 & 0.0873482 & 0.174696 & 0.912652 \tabularnewline
151 & 0.138505 & 0.277011 & 0.861495 \tabularnewline
152 & 0.129543 & 0.259086 & 0.870457 \tabularnewline
153 & 0.118025 & 0.236049 & 0.881975 \tabularnewline
154 & 0.127854 & 0.255709 & 0.872146 \tabularnewline
155 & 0.110627 & 0.221253 & 0.889373 \tabularnewline
156 & 0.11069 & 0.22138 & 0.88931 \tabularnewline
157 & 0.113372 & 0.226744 & 0.886628 \tabularnewline
158 & 0.104952 & 0.209904 & 0.895048 \tabularnewline
159 & 0.0914457 & 0.182891 & 0.908554 \tabularnewline
160 & 0.0972808 & 0.194562 & 0.902719 \tabularnewline
161 & 0.0836005 & 0.167201 & 0.9164 \tabularnewline
162 & 0.0790305 & 0.158061 & 0.920969 \tabularnewline
163 & 0.0686209 & 0.137242 & 0.931379 \tabularnewline
164 & 0.0859316 & 0.171863 & 0.914068 \tabularnewline
165 & 0.0784176 & 0.156835 & 0.921582 \tabularnewline
166 & 0.141207 & 0.282413 & 0.858793 \tabularnewline
167 & 0.142493 & 0.284986 & 0.857507 \tabularnewline
168 & 0.139387 & 0.278774 & 0.860613 \tabularnewline
169 & 0.126218 & 0.252436 & 0.873782 \tabularnewline
170 & 0.251133 & 0.502265 & 0.748867 \tabularnewline
171 & 0.285435 & 0.57087 & 0.714565 \tabularnewline
172 & 0.255153 & 0.510307 & 0.744847 \tabularnewline
173 & 0.340988 & 0.681976 & 0.659012 \tabularnewline
174 & 0.30732 & 0.61464 & 0.69268 \tabularnewline
175 & 0.363124 & 0.726247 & 0.636876 \tabularnewline
176 & 0.349836 & 0.699673 & 0.650164 \tabularnewline
177 & 0.356609 & 0.713219 & 0.643391 \tabularnewline
178 & 0.329499 & 0.658997 & 0.670501 \tabularnewline
179 & 0.303043 & 0.606087 & 0.696957 \tabularnewline
180 & 0.287436 & 0.574872 & 0.712564 \tabularnewline
181 & 0.260002 & 0.520005 & 0.739998 \tabularnewline
182 & 0.257286 & 0.514573 & 0.742714 \tabularnewline
183 & 0.267729 & 0.535457 & 0.732271 \tabularnewline
184 & 0.317453 & 0.634906 & 0.682547 \tabularnewline
185 & 0.577814 & 0.844371 & 0.422186 \tabularnewline
186 & 0.570152 & 0.859696 & 0.429848 \tabularnewline
187 & 0.556666 & 0.886668 & 0.443334 \tabularnewline
188 & 0.674058 & 0.651884 & 0.325942 \tabularnewline
189 & 0.657404 & 0.685192 & 0.342596 \tabularnewline
190 & 0.646867 & 0.706265 & 0.353133 \tabularnewline
191 & 0.639298 & 0.721405 & 0.360702 \tabularnewline
192 & 0.603647 & 0.792706 & 0.396353 \tabularnewline
193 & 0.569849 & 0.860303 & 0.430151 \tabularnewline
194 & 0.529415 & 0.941169 & 0.470585 \tabularnewline
195 & 0.490797 & 0.981594 & 0.509203 \tabularnewline
196 & 0.452945 & 0.905891 & 0.547055 \tabularnewline
197 & 0.444157 & 0.888314 & 0.555843 \tabularnewline
198 & 0.422748 & 0.845496 & 0.577252 \tabularnewline
199 & 0.382353 & 0.764706 & 0.617647 \tabularnewline
200 & 0.505631 & 0.988738 & 0.494369 \tabularnewline
201 & 0.47328 & 0.94656 & 0.52672 \tabularnewline
202 & 0.656307 & 0.687385 & 0.343693 \tabularnewline
203 & 0.621914 & 0.756173 & 0.378086 \tabularnewline
204 & 0.582987 & 0.834026 & 0.417013 \tabularnewline
205 & 0.543915 & 0.912171 & 0.456085 \tabularnewline
206 & 0.504417 & 0.991166 & 0.495583 \tabularnewline
207 & 0.461575 & 0.92315 & 0.538425 \tabularnewline
208 & 0.417603 & 0.835206 & 0.582397 \tabularnewline
209 & 0.39156 & 0.78312 & 0.60844 \tabularnewline
210 & 0.352957 & 0.705915 & 0.647043 \tabularnewline
211 & 0.314889 & 0.629777 & 0.685111 \tabularnewline
212 & 0.28468 & 0.569361 & 0.71532 \tabularnewline
213 & 0.338379 & 0.676759 & 0.661621 \tabularnewline
214 & 0.319865 & 0.63973 & 0.680135 \tabularnewline
215 & 0.279466 & 0.558932 & 0.720534 \tabularnewline
216 & 0.245733 & 0.491465 & 0.754267 \tabularnewline
217 & 0.21906 & 0.438119 & 0.78094 \tabularnewline
218 & 0.250263 & 0.500526 & 0.749737 \tabularnewline
219 & 0.221649 & 0.443299 & 0.778351 \tabularnewline
220 & 0.194619 & 0.389238 & 0.805381 \tabularnewline
221 & 0.164408 & 0.328815 & 0.835592 \tabularnewline
222 & 0.1596 & 0.319201 & 0.8404 \tabularnewline
223 & 0.131242 & 0.262485 & 0.868758 \tabularnewline
224 & 0.112623 & 0.225247 & 0.887377 \tabularnewline
225 & 0.0906919 & 0.181384 & 0.909308 \tabularnewline
226 & 0.0946161 & 0.189232 & 0.905384 \tabularnewline
227 & 0.0777661 & 0.155532 & 0.922234 \tabularnewline
228 & 0.0611051 & 0.12221 & 0.938895 \tabularnewline
229 & 0.0473509 & 0.0947017 & 0.952649 \tabularnewline
230 & 0.0365969 & 0.0731938 & 0.963403 \tabularnewline
231 & 0.0351893 & 0.0703786 & 0.964811 \tabularnewline
232 & 0.0541734 & 0.108347 & 0.945827 \tabularnewline
233 & 0.0429818 & 0.0859636 & 0.957018 \tabularnewline
234 & 0.142628 & 0.285255 & 0.857372 \tabularnewline
235 & 0.114205 & 0.228411 & 0.885795 \tabularnewline
236 & 0.106787 & 0.213574 & 0.893213 \tabularnewline
237 & 0.101719 & 0.203437 & 0.898281 \tabularnewline
238 & 0.226759 & 0.453518 & 0.773241 \tabularnewline
239 & 0.188366 & 0.376733 & 0.811634 \tabularnewline
240 & 0.284938 & 0.569877 & 0.715062 \tabularnewline
241 & 0.386215 & 0.772431 & 0.613785 \tabularnewline
242 & 0.321975 & 0.643949 & 0.678025 \tabularnewline
243 & 0.270772 & 0.541544 & 0.729228 \tabularnewline
244 & 0.228013 & 0.456025 & 0.771987 \tabularnewline
245 & 0.425283 & 0.850567 & 0.574717 \tabularnewline
246 & 0.69791 & 0.60418 & 0.30209 \tabularnewline
247 & 0.674693 & 0.650615 & 0.325307 \tabularnewline
248 & 0.610562 & 0.778877 & 0.389438 \tabularnewline
249 & 0.660392 & 0.679215 & 0.339608 \tabularnewline
250 & 0.601474 & 0.797052 & 0.398526 \tabularnewline
251 & 0.67539 & 0.649221 & 0.32461 \tabularnewline
252 & 0.62956 & 0.74088 & 0.37044 \tabularnewline
253 & 0.590094 & 0.819811 & 0.409906 \tabularnewline
254 & 0.834032 & 0.331935 & 0.165968 \tabularnewline
255 & 0.698228 & 0.603543 & 0.301772 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253413&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]9[/C][C]0.918871[/C][C]0.162257[/C][C]0.0811287[/C][/ROW]
[ROW][C]10[/C][C]0.913581[/C][C]0.172839[/C][C]0.0864194[/C][/ROW]
[ROW][C]11[/C][C]0.895212[/C][C]0.209575[/C][C]0.104788[/C][/ROW]
[ROW][C]12[/C][C]0.838379[/C][C]0.323241[/C][C]0.161621[/C][/ROW]
[ROW][C]13[/C][C]0.790504[/C][C]0.418991[/C][C]0.209496[/C][/ROW]
[ROW][C]14[/C][C]0.738717[/C][C]0.522566[/C][C]0.261283[/C][/ROW]
[ROW][C]15[/C][C]0.656173[/C][C]0.687654[/C][C]0.343827[/C][/ROW]
[ROW][C]16[/C][C]0.733821[/C][C]0.532358[/C][C]0.266179[/C][/ROW]
[ROW][C]17[/C][C]0.658809[/C][C]0.682382[/C][C]0.341191[/C][/ROW]
[ROW][C]18[/C][C]0.637061[/C][C]0.725878[/C][C]0.362939[/C][/ROW]
[ROW][C]19[/C][C]0.578106[/C][C]0.843788[/C][C]0.421894[/C][/ROW]
[ROW][C]20[/C][C]0.576926[/C][C]0.846148[/C][C]0.423074[/C][/ROW]
[ROW][C]21[/C][C]0.572465[/C][C]0.855071[/C][C]0.427535[/C][/ROW]
[ROW][C]22[/C][C]0.557927[/C][C]0.884146[/C][C]0.442073[/C][/ROW]
[ROW][C]23[/C][C]0.509643[/C][C]0.980713[/C][C]0.490357[/C][/ROW]
[ROW][C]24[/C][C]0.44583[/C][C]0.891659[/C][C]0.55417[/C][/ROW]
[ROW][C]25[/C][C]0.501017[/C][C]0.997966[/C][C]0.498983[/C][/ROW]
[ROW][C]26[/C][C]0.638754[/C][C]0.722492[/C][C]0.361246[/C][/ROW]
[ROW][C]27[/C][C]0.578634[/C][C]0.842733[/C][C]0.421366[/C][/ROW]
[ROW][C]28[/C][C]0.5453[/C][C]0.909399[/C][C]0.4547[/C][/ROW]
[ROW][C]29[/C][C]0.507239[/C][C]0.985522[/C][C]0.492761[/C][/ROW]
[ROW][C]30[/C][C]0.451679[/C][C]0.903359[/C][C]0.548321[/C][/ROW]
[ROW][C]31[/C][C]0.452263[/C][C]0.904525[/C][C]0.547737[/C][/ROW]
[ROW][C]32[/C][C]0.594192[/C][C]0.811617[/C][C]0.405808[/C][/ROW]
[ROW][C]33[/C][C]0.587977[/C][C]0.824045[/C][C]0.412023[/C][/ROW]
[ROW][C]34[/C][C]0.560567[/C][C]0.878867[/C][C]0.439433[/C][/ROW]
[ROW][C]35[/C][C]0.509722[/C][C]0.980556[/C][C]0.490278[/C][/ROW]
[ROW][C]36[/C][C]0.459971[/C][C]0.919942[/C][C]0.540029[/C][/ROW]
[ROW][C]37[/C][C]0.417515[/C][C]0.83503[/C][C]0.582485[/C][/ROW]
[ROW][C]38[/C][C]0.386565[/C][C]0.77313[/C][C]0.613435[/C][/ROW]
[ROW][C]39[/C][C]0.491036[/C][C]0.982073[/C][C]0.508964[/C][/ROW]
[ROW][C]40[/C][C]0.439292[/C][C]0.878584[/C][C]0.560708[/C][/ROW]
[ROW][C]41[/C][C]0.407659[/C][C]0.815318[/C][C]0.592341[/C][/ROW]
[ROW][C]42[/C][C]0.358474[/C][C]0.716948[/C][C]0.641526[/C][/ROW]
[ROW][C]43[/C][C]0.32602[/C][C]0.65204[/C][C]0.67398[/C][/ROW]
[ROW][C]44[/C][C]0.287706[/C][C]0.575411[/C][C]0.712294[/C][/ROW]
[ROW][C]45[/C][C]0.352838[/C][C]0.705677[/C][C]0.647162[/C][/ROW]
[ROW][C]46[/C][C]0.364312[/C][C]0.728624[/C][C]0.635688[/C][/ROW]
[ROW][C]47[/C][C]0.328476[/C][C]0.656951[/C][C]0.671524[/C][/ROW]
[ROW][C]48[/C][C]0.302131[/C][C]0.604261[/C][C]0.697869[/C][/ROW]
[ROW][C]49[/C][C]0.261163[/C][C]0.522326[/C][C]0.738837[/C][/ROW]
[ROW][C]50[/C][C]0.274228[/C][C]0.548455[/C][C]0.725772[/C][/ROW]
[ROW][C]51[/C][C]0.31469[/C][C]0.629379[/C][C]0.68531[/C][/ROW]
[ROW][C]52[/C][C]0.281542[/C][C]0.563083[/C][C]0.718458[/C][/ROW]
[ROW][C]53[/C][C]0.245297[/C][C]0.490595[/C][C]0.754703[/C][/ROW]
[ROW][C]54[/C][C]0.221231[/C][C]0.442461[/C][C]0.778769[/C][/ROW]
[ROW][C]55[/C][C]0.188936[/C][C]0.377872[/C][C]0.811064[/C][/ROW]
[ROW][C]56[/C][C]0.176166[/C][C]0.352332[/C][C]0.823834[/C][/ROW]
[ROW][C]57[/C][C]0.190472[/C][C]0.380943[/C][C]0.809528[/C][/ROW]
[ROW][C]58[/C][C]0.291195[/C][C]0.582389[/C][C]0.708805[/C][/ROW]
[ROW][C]59[/C][C]0.261309[/C][C]0.522619[/C][C]0.738691[/C][/ROW]
[ROW][C]60[/C][C]0.227106[/C][C]0.454212[/C][C]0.772894[/C][/ROW]
[ROW][C]61[/C][C]0.201041[/C][C]0.402082[/C][C]0.798959[/C][/ROW]
[ROW][C]62[/C][C]0.193198[/C][C]0.386395[/C][C]0.806802[/C][/ROW]
[ROW][C]63[/C][C]0.169914[/C][C]0.339828[/C][C]0.830086[/C][/ROW]
[ROW][C]64[/C][C]0.167955[/C][C]0.335909[/C][C]0.832045[/C][/ROW]
[ROW][C]65[/C][C]0.143635[/C][C]0.287269[/C][C]0.856365[/C][/ROW]
[ROW][C]66[/C][C]0.125234[/C][C]0.250469[/C][C]0.874766[/C][/ROW]
[ROW][C]67[/C][C]0.105784[/C][C]0.211568[/C][C]0.894216[/C][/ROW]
[ROW][C]68[/C][C]0.116313[/C][C]0.232626[/C][C]0.883687[/C][/ROW]
[ROW][C]69[/C][C]0.118711[/C][C]0.237421[/C][C]0.881289[/C][/ROW]
[ROW][C]70[/C][C]0.100218[/C][C]0.200436[/C][C]0.899782[/C][/ROW]
[ROW][C]71[/C][C]0.106132[/C][C]0.212264[/C][C]0.893868[/C][/ROW]
[ROW][C]72[/C][C]0.120763[/C][C]0.241527[/C][C]0.879237[/C][/ROW]
[ROW][C]73[/C][C]0.117843[/C][C]0.235687[/C][C]0.882157[/C][/ROW]
[ROW][C]74[/C][C]0.0988301[/C][C]0.19766[/C][C]0.90117[/C][/ROW]
[ROW][C]75[/C][C]0.0851754[/C][C]0.170351[/C][C]0.914825[/C][/ROW]
[ROW][C]76[/C][C]0.116462[/C][C]0.232923[/C][C]0.883538[/C][/ROW]
[ROW][C]77[/C][C]0.10059[/C][C]0.20118[/C][C]0.89941[/C][/ROW]
[ROW][C]78[/C][C]0.0848394[/C][C]0.169679[/C][C]0.915161[/C][/ROW]
[ROW][C]79[/C][C]0.110276[/C][C]0.220552[/C][C]0.889724[/C][/ROW]
[ROW][C]80[/C][C]0.13178[/C][C]0.26356[/C][C]0.86822[/C][/ROW]
[ROW][C]81[/C][C]0.125562[/C][C]0.251124[/C][C]0.874438[/C][/ROW]
[ROW][C]82[/C][C]0.10832[/C][C]0.216641[/C][C]0.89168[/C][/ROW]
[ROW][C]83[/C][C]0.103186[/C][C]0.206373[/C][C]0.896814[/C][/ROW]
[ROW][C]84[/C][C]0.0978807[/C][C]0.195761[/C][C]0.902119[/C][/ROW]
[ROW][C]85[/C][C]0.0848239[/C][C]0.169648[/C][C]0.915176[/C][/ROW]
[ROW][C]86[/C][C]0.0749838[/C][C]0.149968[/C][C]0.925016[/C][/ROW]
[ROW][C]87[/C][C]0.0660995[/C][C]0.132199[/C][C]0.9339[/C][/ROW]
[ROW][C]88[/C][C]0.079287[/C][C]0.158574[/C][C]0.920713[/C][/ROW]
[ROW][C]89[/C][C]0.0659681[/C][C]0.131936[/C][C]0.934032[/C][/ROW]
[ROW][C]90[/C][C]0.0691221[/C][C]0.138244[/C][C]0.930878[/C][/ROW]
[ROW][C]91[/C][C]0.0645347[/C][C]0.129069[/C][C]0.935465[/C][/ROW]
[ROW][C]92[/C][C]0.0575834[/C][C]0.115167[/C][C]0.942417[/C][/ROW]
[ROW][C]93[/C][C]0.0480854[/C][C]0.0961708[/C][C]0.951915[/C][/ROW]
[ROW][C]94[/C][C]0.050245[/C][C]0.10049[/C][C]0.949755[/C][/ROW]
[ROW][C]95[/C][C]0.0496875[/C][C]0.099375[/C][C]0.950313[/C][/ROW]
[ROW][C]96[/C][C]0.0456705[/C][C]0.091341[/C][C]0.95433[/C][/ROW]
[ROW][C]97[/C][C]0.0386095[/C][C]0.0772191[/C][C]0.96139[/C][/ROW]
[ROW][C]98[/C][C]0.0342457[/C][C]0.0684915[/C][C]0.965754[/C][/ROW]
[ROW][C]99[/C][C]0.0344136[/C][C]0.0688271[/C][C]0.965586[/C][/ROW]
[ROW][C]100[/C][C]0.0318845[/C][C]0.063769[/C][C]0.968115[/C][/ROW]
[ROW][C]101[/C][C]0.0283439[/C][C]0.0566879[/C][C]0.971656[/C][/ROW]
[ROW][C]102[/C][C]0.0234041[/C][C]0.0468082[/C][C]0.976596[/C][/ROW]
[ROW][C]103[/C][C]0.0193447[/C][C]0.0386894[/C][C]0.980655[/C][/ROW]
[ROW][C]104[/C][C]0.0194789[/C][C]0.0389578[/C][C]0.980521[/C][/ROW]
[ROW][C]105[/C][C]0.0462397[/C][C]0.0924793[/C][C]0.95376[/C][/ROW]
[ROW][C]106[/C][C]0.0435215[/C][C]0.0870431[/C][C]0.956478[/C][/ROW]
[ROW][C]107[/C][C]0.0545913[/C][C]0.109183[/C][C]0.945409[/C][/ROW]
[ROW][C]108[/C][C]0.047055[/C][C]0.0941099[/C][C]0.952945[/C][/ROW]
[ROW][C]109[/C][C]0.0807757[/C][C]0.161551[/C][C]0.919224[/C][/ROW]
[ROW][C]110[/C][C]0.0960173[/C][C]0.192035[/C][C]0.903983[/C][/ROW]
[ROW][C]111[/C][C]0.0924684[/C][C]0.184937[/C][C]0.907532[/C][/ROW]
[ROW][C]112[/C][C]0.126172[/C][C]0.252344[/C][C]0.873828[/C][/ROW]
[ROW][C]113[/C][C]0.113122[/C][C]0.226244[/C][C]0.886878[/C][/ROW]
[ROW][C]114[/C][C]0.110852[/C][C]0.221704[/C][C]0.889148[/C][/ROW]
[ROW][C]115[/C][C]0.106063[/C][C]0.212126[/C][C]0.893937[/C][/ROW]
[ROW][C]116[/C][C]0.103187[/C][C]0.206373[/C][C]0.896813[/C][/ROW]
[ROW][C]117[/C][C]0.0980345[/C][C]0.196069[/C][C]0.901966[/C][/ROW]
[ROW][C]118[/C][C]0.0858547[/C][C]0.171709[/C][C]0.914145[/C][/ROW]
[ROW][C]119[/C][C]0.080576[/C][C]0.161152[/C][C]0.919424[/C][/ROW]
[ROW][C]120[/C][C]0.0715871[/C][C]0.143174[/C][C]0.928413[/C][/ROW]
[ROW][C]121[/C][C]0.0624235[/C][C]0.124847[/C][C]0.937577[/C][/ROW]
[ROW][C]122[/C][C]0.0563497[/C][C]0.112699[/C][C]0.94365[/C][/ROW]
[ROW][C]123[/C][C]0.0476688[/C][C]0.0953377[/C][C]0.952331[/C][/ROW]
[ROW][C]124[/C][C]0.0459785[/C][C]0.091957[/C][C]0.954021[/C][/ROW]
[ROW][C]125[/C][C]0.0441897[/C][C]0.0883795[/C][C]0.95581[/C][/ROW]
[ROW][C]126[/C][C]0.0551948[/C][C]0.11039[/C][C]0.944805[/C][/ROW]
[ROW][C]127[/C][C]0.102372[/C][C]0.204744[/C][C]0.897628[/C][/ROW]
[ROW][C]128[/C][C]0.0968481[/C][C]0.193696[/C][C]0.903152[/C][/ROW]
[ROW][C]129[/C][C]0.0857243[/C][C]0.171449[/C][C]0.914276[/C][/ROW]
[ROW][C]130[/C][C]0.0797946[/C][C]0.159589[/C][C]0.920205[/C][/ROW]
[ROW][C]131[/C][C]0.0887462[/C][C]0.177492[/C][C]0.911254[/C][/ROW]
[ROW][C]132[/C][C]0.094421[/C][C]0.188842[/C][C]0.905579[/C][/ROW]
[ROW][C]133[/C][C]0.113202[/C][C]0.226405[/C][C]0.886798[/C][/ROW]
[ROW][C]134[/C][C]0.099468[/C][C]0.198936[/C][C]0.900532[/C][/ROW]
[ROW][C]135[/C][C]0.0854656[/C][C]0.170931[/C][C]0.914534[/C][/ROW]
[ROW][C]136[/C][C]0.0741491[/C][C]0.148298[/C][C]0.925851[/C][/ROW]
[ROW][C]137[/C][C]0.0629042[/C][C]0.125808[/C][C]0.937096[/C][/ROW]
[ROW][C]138[/C][C]0.0657205[/C][C]0.131441[/C][C]0.934279[/C][/ROW]
[ROW][C]139[/C][C]0.0559682[/C][C]0.111936[/C][C]0.944032[/C][/ROW]
[ROW][C]140[/C][C]0.0553178[/C][C]0.110636[/C][C]0.944682[/C][/ROW]
[ROW][C]141[/C][C]0.0532659[/C][C]0.106532[/C][C]0.946734[/C][/ROW]
[ROW][C]142[/C][C]0.0759027[/C][C]0.151805[/C][C]0.924097[/C][/ROW]
[ROW][C]143[/C][C]0.0919565[/C][C]0.183913[/C][C]0.908044[/C][/ROW]
[ROW][C]144[/C][C]0.0850795[/C][C]0.170159[/C][C]0.914921[/C][/ROW]
[ROW][C]145[/C][C]0.150563[/C][C]0.301127[/C][C]0.849437[/C][/ROW]
[ROW][C]146[/C][C]0.138163[/C][C]0.276327[/C][C]0.861837[/C][/ROW]
[ROW][C]147[/C][C]0.122665[/C][C]0.245329[/C][C]0.877335[/C][/ROW]
[ROW][C]148[/C][C]0.108319[/C][C]0.216637[/C][C]0.891681[/C][/ROW]
[ROW][C]149[/C][C]0.0988344[/C][C]0.197669[/C][C]0.901166[/C][/ROW]
[ROW][C]150[/C][C]0.0873482[/C][C]0.174696[/C][C]0.912652[/C][/ROW]
[ROW][C]151[/C][C]0.138505[/C][C]0.277011[/C][C]0.861495[/C][/ROW]
[ROW][C]152[/C][C]0.129543[/C][C]0.259086[/C][C]0.870457[/C][/ROW]
[ROW][C]153[/C][C]0.118025[/C][C]0.236049[/C][C]0.881975[/C][/ROW]
[ROW][C]154[/C][C]0.127854[/C][C]0.255709[/C][C]0.872146[/C][/ROW]
[ROW][C]155[/C][C]0.110627[/C][C]0.221253[/C][C]0.889373[/C][/ROW]
[ROW][C]156[/C][C]0.11069[/C][C]0.22138[/C][C]0.88931[/C][/ROW]
[ROW][C]157[/C][C]0.113372[/C][C]0.226744[/C][C]0.886628[/C][/ROW]
[ROW][C]158[/C][C]0.104952[/C][C]0.209904[/C][C]0.895048[/C][/ROW]
[ROW][C]159[/C][C]0.0914457[/C][C]0.182891[/C][C]0.908554[/C][/ROW]
[ROW][C]160[/C][C]0.0972808[/C][C]0.194562[/C][C]0.902719[/C][/ROW]
[ROW][C]161[/C][C]0.0836005[/C][C]0.167201[/C][C]0.9164[/C][/ROW]
[ROW][C]162[/C][C]0.0790305[/C][C]0.158061[/C][C]0.920969[/C][/ROW]
[ROW][C]163[/C][C]0.0686209[/C][C]0.137242[/C][C]0.931379[/C][/ROW]
[ROW][C]164[/C][C]0.0859316[/C][C]0.171863[/C][C]0.914068[/C][/ROW]
[ROW][C]165[/C][C]0.0784176[/C][C]0.156835[/C][C]0.921582[/C][/ROW]
[ROW][C]166[/C][C]0.141207[/C][C]0.282413[/C][C]0.858793[/C][/ROW]
[ROW][C]167[/C][C]0.142493[/C][C]0.284986[/C][C]0.857507[/C][/ROW]
[ROW][C]168[/C][C]0.139387[/C][C]0.278774[/C][C]0.860613[/C][/ROW]
[ROW][C]169[/C][C]0.126218[/C][C]0.252436[/C][C]0.873782[/C][/ROW]
[ROW][C]170[/C][C]0.251133[/C][C]0.502265[/C][C]0.748867[/C][/ROW]
[ROW][C]171[/C][C]0.285435[/C][C]0.57087[/C][C]0.714565[/C][/ROW]
[ROW][C]172[/C][C]0.255153[/C][C]0.510307[/C][C]0.744847[/C][/ROW]
[ROW][C]173[/C][C]0.340988[/C][C]0.681976[/C][C]0.659012[/C][/ROW]
[ROW][C]174[/C][C]0.30732[/C][C]0.61464[/C][C]0.69268[/C][/ROW]
[ROW][C]175[/C][C]0.363124[/C][C]0.726247[/C][C]0.636876[/C][/ROW]
[ROW][C]176[/C][C]0.349836[/C][C]0.699673[/C][C]0.650164[/C][/ROW]
[ROW][C]177[/C][C]0.356609[/C][C]0.713219[/C][C]0.643391[/C][/ROW]
[ROW][C]178[/C][C]0.329499[/C][C]0.658997[/C][C]0.670501[/C][/ROW]
[ROW][C]179[/C][C]0.303043[/C][C]0.606087[/C][C]0.696957[/C][/ROW]
[ROW][C]180[/C][C]0.287436[/C][C]0.574872[/C][C]0.712564[/C][/ROW]
[ROW][C]181[/C][C]0.260002[/C][C]0.520005[/C][C]0.739998[/C][/ROW]
[ROW][C]182[/C][C]0.257286[/C][C]0.514573[/C][C]0.742714[/C][/ROW]
[ROW][C]183[/C][C]0.267729[/C][C]0.535457[/C][C]0.732271[/C][/ROW]
[ROW][C]184[/C][C]0.317453[/C][C]0.634906[/C][C]0.682547[/C][/ROW]
[ROW][C]185[/C][C]0.577814[/C][C]0.844371[/C][C]0.422186[/C][/ROW]
[ROW][C]186[/C][C]0.570152[/C][C]0.859696[/C][C]0.429848[/C][/ROW]
[ROW][C]187[/C][C]0.556666[/C][C]0.886668[/C][C]0.443334[/C][/ROW]
[ROW][C]188[/C][C]0.674058[/C][C]0.651884[/C][C]0.325942[/C][/ROW]
[ROW][C]189[/C][C]0.657404[/C][C]0.685192[/C][C]0.342596[/C][/ROW]
[ROW][C]190[/C][C]0.646867[/C][C]0.706265[/C][C]0.353133[/C][/ROW]
[ROW][C]191[/C][C]0.639298[/C][C]0.721405[/C][C]0.360702[/C][/ROW]
[ROW][C]192[/C][C]0.603647[/C][C]0.792706[/C][C]0.396353[/C][/ROW]
[ROW][C]193[/C][C]0.569849[/C][C]0.860303[/C][C]0.430151[/C][/ROW]
[ROW][C]194[/C][C]0.529415[/C][C]0.941169[/C][C]0.470585[/C][/ROW]
[ROW][C]195[/C][C]0.490797[/C][C]0.981594[/C][C]0.509203[/C][/ROW]
[ROW][C]196[/C][C]0.452945[/C][C]0.905891[/C][C]0.547055[/C][/ROW]
[ROW][C]197[/C][C]0.444157[/C][C]0.888314[/C][C]0.555843[/C][/ROW]
[ROW][C]198[/C][C]0.422748[/C][C]0.845496[/C][C]0.577252[/C][/ROW]
[ROW][C]199[/C][C]0.382353[/C][C]0.764706[/C][C]0.617647[/C][/ROW]
[ROW][C]200[/C][C]0.505631[/C][C]0.988738[/C][C]0.494369[/C][/ROW]
[ROW][C]201[/C][C]0.47328[/C][C]0.94656[/C][C]0.52672[/C][/ROW]
[ROW][C]202[/C][C]0.656307[/C][C]0.687385[/C][C]0.343693[/C][/ROW]
[ROW][C]203[/C][C]0.621914[/C][C]0.756173[/C][C]0.378086[/C][/ROW]
[ROW][C]204[/C][C]0.582987[/C][C]0.834026[/C][C]0.417013[/C][/ROW]
[ROW][C]205[/C][C]0.543915[/C][C]0.912171[/C][C]0.456085[/C][/ROW]
[ROW][C]206[/C][C]0.504417[/C][C]0.991166[/C][C]0.495583[/C][/ROW]
[ROW][C]207[/C][C]0.461575[/C][C]0.92315[/C][C]0.538425[/C][/ROW]
[ROW][C]208[/C][C]0.417603[/C][C]0.835206[/C][C]0.582397[/C][/ROW]
[ROW][C]209[/C][C]0.39156[/C][C]0.78312[/C][C]0.60844[/C][/ROW]
[ROW][C]210[/C][C]0.352957[/C][C]0.705915[/C][C]0.647043[/C][/ROW]
[ROW][C]211[/C][C]0.314889[/C][C]0.629777[/C][C]0.685111[/C][/ROW]
[ROW][C]212[/C][C]0.28468[/C][C]0.569361[/C][C]0.71532[/C][/ROW]
[ROW][C]213[/C][C]0.338379[/C][C]0.676759[/C][C]0.661621[/C][/ROW]
[ROW][C]214[/C][C]0.319865[/C][C]0.63973[/C][C]0.680135[/C][/ROW]
[ROW][C]215[/C][C]0.279466[/C][C]0.558932[/C][C]0.720534[/C][/ROW]
[ROW][C]216[/C][C]0.245733[/C][C]0.491465[/C][C]0.754267[/C][/ROW]
[ROW][C]217[/C][C]0.21906[/C][C]0.438119[/C][C]0.78094[/C][/ROW]
[ROW][C]218[/C][C]0.250263[/C][C]0.500526[/C][C]0.749737[/C][/ROW]
[ROW][C]219[/C][C]0.221649[/C][C]0.443299[/C][C]0.778351[/C][/ROW]
[ROW][C]220[/C][C]0.194619[/C][C]0.389238[/C][C]0.805381[/C][/ROW]
[ROW][C]221[/C][C]0.164408[/C][C]0.328815[/C][C]0.835592[/C][/ROW]
[ROW][C]222[/C][C]0.1596[/C][C]0.319201[/C][C]0.8404[/C][/ROW]
[ROW][C]223[/C][C]0.131242[/C][C]0.262485[/C][C]0.868758[/C][/ROW]
[ROW][C]224[/C][C]0.112623[/C][C]0.225247[/C][C]0.887377[/C][/ROW]
[ROW][C]225[/C][C]0.0906919[/C][C]0.181384[/C][C]0.909308[/C][/ROW]
[ROW][C]226[/C][C]0.0946161[/C][C]0.189232[/C][C]0.905384[/C][/ROW]
[ROW][C]227[/C][C]0.0777661[/C][C]0.155532[/C][C]0.922234[/C][/ROW]
[ROW][C]228[/C][C]0.0611051[/C][C]0.12221[/C][C]0.938895[/C][/ROW]
[ROW][C]229[/C][C]0.0473509[/C][C]0.0947017[/C][C]0.952649[/C][/ROW]
[ROW][C]230[/C][C]0.0365969[/C][C]0.0731938[/C][C]0.963403[/C][/ROW]
[ROW][C]231[/C][C]0.0351893[/C][C]0.0703786[/C][C]0.964811[/C][/ROW]
[ROW][C]232[/C][C]0.0541734[/C][C]0.108347[/C][C]0.945827[/C][/ROW]
[ROW][C]233[/C][C]0.0429818[/C][C]0.0859636[/C][C]0.957018[/C][/ROW]
[ROW][C]234[/C][C]0.142628[/C][C]0.285255[/C][C]0.857372[/C][/ROW]
[ROW][C]235[/C][C]0.114205[/C][C]0.228411[/C][C]0.885795[/C][/ROW]
[ROW][C]236[/C][C]0.106787[/C][C]0.213574[/C][C]0.893213[/C][/ROW]
[ROW][C]237[/C][C]0.101719[/C][C]0.203437[/C][C]0.898281[/C][/ROW]
[ROW][C]238[/C][C]0.226759[/C][C]0.453518[/C][C]0.773241[/C][/ROW]
[ROW][C]239[/C][C]0.188366[/C][C]0.376733[/C][C]0.811634[/C][/ROW]
[ROW][C]240[/C][C]0.284938[/C][C]0.569877[/C][C]0.715062[/C][/ROW]
[ROW][C]241[/C][C]0.386215[/C][C]0.772431[/C][C]0.613785[/C][/ROW]
[ROW][C]242[/C][C]0.321975[/C][C]0.643949[/C][C]0.678025[/C][/ROW]
[ROW][C]243[/C][C]0.270772[/C][C]0.541544[/C][C]0.729228[/C][/ROW]
[ROW][C]244[/C][C]0.228013[/C][C]0.456025[/C][C]0.771987[/C][/ROW]
[ROW][C]245[/C][C]0.425283[/C][C]0.850567[/C][C]0.574717[/C][/ROW]
[ROW][C]246[/C][C]0.69791[/C][C]0.60418[/C][C]0.30209[/C][/ROW]
[ROW][C]247[/C][C]0.674693[/C][C]0.650615[/C][C]0.325307[/C][/ROW]
[ROW][C]248[/C][C]0.610562[/C][C]0.778877[/C][C]0.389438[/C][/ROW]
[ROW][C]249[/C][C]0.660392[/C][C]0.679215[/C][C]0.339608[/C][/ROW]
[ROW][C]250[/C][C]0.601474[/C][C]0.797052[/C][C]0.398526[/C][/ROW]
[ROW][C]251[/C][C]0.67539[/C][C]0.649221[/C][C]0.32461[/C][/ROW]
[ROW][C]252[/C][C]0.62956[/C][C]0.74088[/C][C]0.37044[/C][/ROW]
[ROW][C]253[/C][C]0.590094[/C][C]0.819811[/C][C]0.409906[/C][/ROW]
[ROW][C]254[/C][C]0.834032[/C][C]0.331935[/C][C]0.165968[/C][/ROW]
[ROW][C]255[/C][C]0.698228[/C][C]0.603543[/C][C]0.301772[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253413&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253413&T=5

As an alternative you can also use a QR Code:  
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The GUIDs for individual cells are displayed in the table below:

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.9188710.1622570.0811287
100.9135810.1728390.0864194
110.8952120.2095750.104788
120.8383790.3232410.161621
130.7905040.4189910.209496
140.7387170.5225660.261283
150.6561730.6876540.343827
160.7338210.5323580.266179
170.6588090.6823820.341191
180.6370610.7258780.362939
190.5781060.8437880.421894
200.5769260.8461480.423074
210.5724650.8550710.427535
220.5579270.8841460.442073
230.5096430.9807130.490357
240.445830.8916590.55417
250.5010170.9979660.498983
260.6387540.7224920.361246
270.5786340.8427330.421366
280.54530.9093990.4547
290.5072390.9855220.492761
300.4516790.9033590.548321
310.4522630.9045250.547737
320.5941920.8116170.405808
330.5879770.8240450.412023
340.5605670.8788670.439433
350.5097220.9805560.490278
360.4599710.9199420.540029
370.4175150.835030.582485
380.3865650.773130.613435
390.4910360.9820730.508964
400.4392920.8785840.560708
410.4076590.8153180.592341
420.3584740.7169480.641526
430.326020.652040.67398
440.2877060.5754110.712294
450.3528380.7056770.647162
460.3643120.7286240.635688
470.3284760.6569510.671524
480.3021310.6042610.697869
490.2611630.5223260.738837
500.2742280.5484550.725772
510.314690.6293790.68531
520.2815420.5630830.718458
530.2452970.4905950.754703
540.2212310.4424610.778769
550.1889360.3778720.811064
560.1761660.3523320.823834
570.1904720.3809430.809528
580.2911950.5823890.708805
590.2613090.5226190.738691
600.2271060.4542120.772894
610.2010410.4020820.798959
620.1931980.3863950.806802
630.1699140.3398280.830086
640.1679550.3359090.832045
650.1436350.2872690.856365
660.1252340.2504690.874766
670.1057840.2115680.894216
680.1163130.2326260.883687
690.1187110.2374210.881289
700.1002180.2004360.899782
710.1061320.2122640.893868
720.1207630.2415270.879237
730.1178430.2356870.882157
740.09883010.197660.90117
750.08517540.1703510.914825
760.1164620.2329230.883538
770.100590.201180.89941
780.08483940.1696790.915161
790.1102760.2205520.889724
800.131780.263560.86822
810.1255620.2511240.874438
820.108320.2166410.89168
830.1031860.2063730.896814
840.09788070.1957610.902119
850.08482390.1696480.915176
860.07498380.1499680.925016
870.06609950.1321990.9339
880.0792870.1585740.920713
890.06596810.1319360.934032
900.06912210.1382440.930878
910.06453470.1290690.935465
920.05758340.1151670.942417
930.04808540.09617080.951915
940.0502450.100490.949755
950.04968750.0993750.950313
960.04567050.0913410.95433
970.03860950.07721910.96139
980.03424570.06849150.965754
990.03441360.06882710.965586
1000.03188450.0637690.968115
1010.02834390.05668790.971656
1020.02340410.04680820.976596
1030.01934470.03868940.980655
1040.01947890.03895780.980521
1050.04623970.09247930.95376
1060.04352150.08704310.956478
1070.05459130.1091830.945409
1080.0470550.09410990.952945
1090.08077570.1615510.919224
1100.09601730.1920350.903983
1110.09246840.1849370.907532
1120.1261720.2523440.873828
1130.1131220.2262440.886878
1140.1108520.2217040.889148
1150.1060630.2121260.893937
1160.1031870.2063730.896813
1170.09803450.1960690.901966
1180.08585470.1717090.914145
1190.0805760.1611520.919424
1200.07158710.1431740.928413
1210.06242350.1248470.937577
1220.05634970.1126990.94365
1230.04766880.09533770.952331
1240.04597850.0919570.954021
1250.04418970.08837950.95581
1260.05519480.110390.944805
1270.1023720.2047440.897628
1280.09684810.1936960.903152
1290.08572430.1714490.914276
1300.07979460.1595890.920205
1310.08874620.1774920.911254
1320.0944210.1888420.905579
1330.1132020.2264050.886798
1340.0994680.1989360.900532
1350.08546560.1709310.914534
1360.07414910.1482980.925851
1370.06290420.1258080.937096
1380.06572050.1314410.934279
1390.05596820.1119360.944032
1400.05531780.1106360.944682
1410.05326590.1065320.946734
1420.07590270.1518050.924097
1430.09195650.1839130.908044
1440.08507950.1701590.914921
1450.1505630.3011270.849437
1460.1381630.2763270.861837
1470.1226650.2453290.877335
1480.1083190.2166370.891681
1490.09883440.1976690.901166
1500.08734820.1746960.912652
1510.1385050.2770110.861495
1520.1295430.2590860.870457
1530.1180250.2360490.881975
1540.1278540.2557090.872146
1550.1106270.2212530.889373
1560.110690.221380.88931
1570.1133720.2267440.886628
1580.1049520.2099040.895048
1590.09144570.1828910.908554
1600.09728080.1945620.902719
1610.08360050.1672010.9164
1620.07903050.1580610.920969
1630.06862090.1372420.931379
1640.08593160.1718630.914068
1650.07841760.1568350.921582
1660.1412070.2824130.858793
1670.1424930.2849860.857507
1680.1393870.2787740.860613
1690.1262180.2524360.873782
1700.2511330.5022650.748867
1710.2854350.570870.714565
1720.2551530.5103070.744847
1730.3409880.6819760.659012
1740.307320.614640.69268
1750.3631240.7262470.636876
1760.3498360.6996730.650164
1770.3566090.7132190.643391
1780.3294990.6589970.670501
1790.3030430.6060870.696957
1800.2874360.5748720.712564
1810.2600020.5200050.739998
1820.2572860.5145730.742714
1830.2677290.5354570.732271
1840.3174530.6349060.682547
1850.5778140.8443710.422186
1860.5701520.8596960.429848
1870.5566660.8866680.443334
1880.6740580.6518840.325942
1890.6574040.6851920.342596
1900.6468670.7062650.353133
1910.6392980.7214050.360702
1920.6036470.7927060.396353
1930.5698490.8603030.430151
1940.5294150.9411690.470585
1950.4907970.9815940.509203
1960.4529450.9058910.547055
1970.4441570.8883140.555843
1980.4227480.8454960.577252
1990.3823530.7647060.617647
2000.5056310.9887380.494369
2010.473280.946560.52672
2020.6563070.6873850.343693
2030.6219140.7561730.378086
2040.5829870.8340260.417013
2050.5439150.9121710.456085
2060.5044170.9911660.495583
2070.4615750.923150.538425
2080.4176030.8352060.582397
2090.391560.783120.60844
2100.3529570.7059150.647043
2110.3148890.6297770.685111
2120.284680.5693610.71532
2130.3383790.6767590.661621
2140.3198650.639730.680135
2150.2794660.5589320.720534
2160.2457330.4914650.754267
2170.219060.4381190.78094
2180.2502630.5005260.749737
2190.2216490.4432990.778351
2200.1946190.3892380.805381
2210.1644080.3288150.835592
2220.15960.3192010.8404
2230.1312420.2624850.868758
2240.1126230.2252470.887377
2250.09069190.1813840.909308
2260.09461610.1892320.905384
2270.07776610.1555320.922234
2280.06110510.122210.938895
2290.04735090.09470170.952649
2300.03659690.07319380.963403
2310.03518930.07037860.964811
2320.05417340.1083470.945827
2330.04298180.08596360.957018
2340.1426280.2852550.857372
2350.1142050.2284110.885795
2360.1067870.2135740.893213
2370.1017190.2034370.898281
2380.2267590.4535180.773241
2390.1883660.3767330.811634
2400.2849380.5698770.715062
2410.3862150.7724310.613785
2420.3219750.6439490.678025
2430.2707720.5415440.729228
2440.2280130.4560250.771987
2450.4252830.8505670.574717
2460.697910.604180.30209
2470.6746930.6506150.325307
2480.6105620.7788770.389438
2490.6603920.6792150.339608
2500.6014740.7970520.398526
2510.675390.6492210.32461
2520.629560.740880.37044
2530.5900940.8198110.409906
2540.8340320.3319350.165968
2550.6982280.6035430.301772






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.0121457OK
10% type I error level210.0850202OK

\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 & 0.0121457 & OK \tabularnewline
10% type I error level & 21 & 0.0850202 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253413&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]0.0121457[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]21[/C][C]0.0850202[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253413&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253413&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 level30.0121457OK
10% type I error level210.0850202OK


Figures (Output of Computation)

Figure 1
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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$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')
}