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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 computationTue, 11 Nov 2014 21:01:37 +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/11/t1415739722oglq4jupveb1d1j.htm/, Retrieved Sun, 19 May 2024 11:12:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=253733, Retrieved Sun, 19 May 2024 11:12:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2014-11-09 16:35:41] [5efa6717cfe6505454df834acc87b53b]
-    D    [Multiple Regression] [] [2014-11-11 21:01:37] [18673d63f90870b9c004059cd6229007] [Current]
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Dataset

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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253733&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253733&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253733&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'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Connected[t] = + 15.0932 + 0.152829Learning[t] + 0.437089Separate[t] -0.0377518Software[t] + 0.0747817Happiness[t] + 0.0203097Sport1[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Connected[t] =  +  15.0932 +  0.152829Learning[t] +  0.437089Separate[t] -0.0377518Software[t] +  0.0747817Happiness[t] +  0.0203097Sport1[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253733&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Connected[t] =  +  15.0932 +  0.152829Learning[t] +  0.437089Separate[t] -0.0377518Software[t] +  0.0747817Happiness[t] +  0.0203097Sport1[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253733&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253733&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] = + 15.0932 + 0.152829Learning[t] + 0.437089Separate[t] -0.0377518Software[t] + 0.0747817Happiness[t] + 0.0203097Sport1[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)15.09322.40986.2631.56813e-097.84063e-10
Learning0.1528290.1113431.3730.1710680.085534
Separate0.4370890.05796797.547.99581e-133.99791e-13
Software-0.03775180.115072-0.32810.7431240.371562
Happiness0.07478170.08921930.83820.4027060.201353
Sport10.02030970.02101190.96660.3346610.16733

\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) & 15.0932 & 2.4098 & 6.263 & 1.56813e-09 & 7.84063e-10 \tabularnewline
Learning & 0.152829 & 0.111343 & 1.373 & 0.171068 & 0.085534 \tabularnewline
Separate & 0.437089 & 0.0579679 & 7.54 & 7.99581e-13 & 3.99791e-13 \tabularnewline
Software & -0.0377518 & 0.115072 & -0.3281 & 0.743124 & 0.371562 \tabularnewline
Happiness & 0.0747817 & 0.0892193 & 0.8382 & 0.402706 & 0.201353 \tabularnewline
Sport1 & 0.0203097 & 0.0210119 & 0.9666 & 0.334661 & 0.16733 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253733&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]15.0932[/C][C]2.4098[/C][C]6.263[/C][C]1.56813e-09[/C][C]7.84063e-10[/C][/ROW]
[ROW][C]Learning[/C][C]0.152829[/C][C]0.111343[/C][C]1.373[/C][C]0.171068[/C][C]0.085534[/C][/ROW]
[ROW][C]Separate[/C][C]0.437089[/C][C]0.0579679[/C][C]7.54[/C][C]7.99581e-13[/C][C]3.99791e-13[/C][/ROW]
[ROW][C]Software[/C][C]-0.0377518[/C][C]0.115072[/C][C]-0.3281[/C][C]0.743124[/C][C]0.371562[/C][/ROW]
[ROW][C]Happiness[/C][C]0.0747817[/C][C]0.0892193[/C][C]0.8382[/C][C]0.402706[/C][C]0.201353[/C][/ROW]
[ROW][C]Sport1[/C][C]0.0203097[/C][C]0.0210119[/C][C]0.9666[/C][C]0.334661[/C][C]0.16733[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253733&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253733&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)15.09322.40986.2631.56813e-097.84063e-10
Learning0.1528290.1113431.3730.1710680.085534
Separate0.4370890.05796797.547.99581e-133.99791e-13
Software-0.03775180.115072-0.32810.7431240.371562
Happiness0.07478170.08921930.83820.4027060.201353
Sport10.02030970.02101190.96660.3346610.16733






Multiple Linear Regression - Regression Statistics
Multiple R0.473427
R-squared0.224133
Adjusted R-squared0.209097
F-TEST (value)14.9063
F-TEST (DF numerator)5
F-TEST (DF denominator)258
p-value7.4829e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.37632
Sum Squared Residuals2941.07

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.473427 \tabularnewline
R-squared & 0.224133 \tabularnewline
Adjusted R-squared & 0.209097 \tabularnewline
F-TEST (value) & 14.9063 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 258 \tabularnewline
p-value & 7.4829e-13 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.37632 \tabularnewline
Sum Squared Residuals & 2941.07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253733&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.473427[/C][/ROW]
[ROW][C]R-squared[/C][C]0.224133[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.209097[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]14.9063[/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]7.4829e-13[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.37632[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2941.07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253733&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253733&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 R0.473427
R-squared0.224133
Adjusted R-squared0.209097
F-TEST (value)14.9063
F-TEST (DF numerator)5
F-TEST (DF denominator)258
p-value7.4829e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.37632
Sum Squared Residuals2941.07






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
14135.35975.64033
23934.14184.85821
33034.8918-4.8918
43133.8412-2.84117
53435.6543-1.65435
63532.30822.69176
73933.2175.78298
83435.264-1.26401
93634.70251.29748
103736.32050.67951
113833.58644.41357
123634.4641.53598
133834.49213.5079
143936.02582.97422
153336.4103-3.4103
163233.5814-1.58143
173633.56512.43489
183837.36470.635341
193936.3852.61502
203233.4264-1.42643
213234.2336-2.23362
223132.8388-1.83883
233936.25922.7408
243736.20440.795634
253934.2434.75698
264133.48527.51485
273635.19910.800919
283335.4777-2.47769
293334.2152-1.21524
303433.46250.537451
313133.3036-2.30363
322732.6808-5.68084
333733.11833.8817
343436.0855-2.08545
353432.44231.55771
363233.4196-1.41964
372931.784-2.784
383633.76742.23259
392933.5255-4.52551
403533.95841.04161
413733.77243.22759
423433.92340.0765684
433833.86364.13644
443533.23271.76731
453831.61686.38315
463733.8233.17695
473836.23031.76966
483334.4763-1.47632
493636.5068-0.50676
503833.2624.738
513236.2781-4.2781
523232.3756-0.375626
533233.0001-1.00015
543435.8136-1.81363
553232.4436-0.443617
563734.96962.03035
573934.64594.35413
582934.4289-5.42892
593735.08551.91447
603534.3410.658993
613030.576-0.576019
623834.48253.51755
633434.7554-0.755404
643134.2187-3.21868
653432.85361.14637
663535.7454-0.745382
673634.77671.22327
683031.6102-1.61022
693936.35892.6411
703535.7808-0.780807
713834.46233.53765
723135.7201-4.72013
733437.1289-3.12886
743837.75930.240682
753431.5652.435
763932.98636.01367
773735.91291.08707
783433.04650.953541
792832.8623-4.86226
803730.95576.04429
813335.5468-2.54681
823535.8214-0.821426
833734.03562.96436
843234.4154-2.41539
853333.3215-0.32147
863836.58441.41556
873334.3948-1.39476
882933.1412-4.14115
893333.3017-0.301677
903135.0765-4.07646
913633.18072.81927
923537.6916-2.69164
933231.88340.116582
942932.3365-3.33654
953935.71743.28259
963734.64452.35547
973533.37951.62047
983734.86282.13718
993235.2557-3.25573
1003835.55992.44005
1013734.80132.19873
1023636.6786-0.678604
1033231.37190.62813
1043336.8958-3.89583
1054032.66797.33213
1063835.27642.72359
1074136.69564.3044
1083634.26581.73417
1094336.70276.29733
1103034.7945-4.79449
1113133.7594-2.75937
1123237.9561-5.95607
1133232.9073-0.907333
1143734.30022.69976
1153734.28332.71669
1163336.3692-3.36924
1173436.822-2.82202
1183334.4111-1.41111
1193835.69542.30456
1203334.8311-1.83108
1213131.4395-0.439548
1223836.60271.39731
1233736.28460.71544
1243633.04892.95107
1253133.9727-2.97273
1263934.09414.9059
1274437.09676.90332
1283335.847-2.84699
1293533.51981.48019
1303233.999-1.99901
1312832.2065-4.20652
1324036.09433.90571
1332732.0664-5.06638
1343736.01380.986213
1353232.531-0.531
1362828.2755-0.275464
1373434.5949-0.594911
1383033.6142-3.61422
1393533.90771.09232
1403134.1062-3.10618
1413234.3159-2.3159
1423036.1207-6.12066
1433035.2167-5.21668
1443129.86181.13821
1454032.87337.12672
1463231.89480.10523
1473634.40331.59668
1483233.0558-1.05578
1493532.88272.11732
1503836.32651.67349
1514235.64386.35624
1523436.4466-2.44655
1533536.7181-1.71808
1543833.86624.1338
1553332.42550.574472
1563633.18072.81927
1573235.474-3.47405
1583335.847-2.84699
1593433.78820.211806
1603235.8379-3.83789
1613434.8867-0.886674
1622730.155-3.155
1633130.68150.31855
1643834.44863.55142
1653436.2647-2.26468
1662431.3514-7.35144
1673033.8725-3.87255
1682629.6488-3.64879
1693435.5747-1.57474
1702735.4134-8.41336
1713732.22784.77224
1723635.91650.0834823
1734134.10496.89509
1742929.302-0.302031
1753631.37144.6286
1763234.8248-2.82477
1773733.10313.89686
1783031.9988-1.99878
1793132.9623-1.96228
1803835.08522.91483
1813634.96431.03571
1823531.99343.00664
1833135.7093-4.70926
1843833.59124.40884
1852231.1053-9.10535
1863235.3363-3.33632
1873634.68691.31311
1883933.10135.89871
1892830.8174-2.81741
1903234.3822-2.38223
1913234.1093-2.10933
1923837.13920.860849
1933233.7609-1.7609
1943535.3773-0.377264
1953233.2733-1.27331
1963735.8611.13897
1973433.39980.600159
1983336.0716-3.0716
1993333.1744-0.174407
2002633.6083-7.60827
2013032.2725-2.27249
2022432.491-8.49103
2033432.77881.2212
2043432.52981.47016
2053334.5286-1.52865
2063435.3302-1.33019
2073536.0687-1.06873
2083535.0732-0.073235
2093633.21462.78545
2103434.3346-0.334551
2113432.87091.1291
2124138.60852.39146
2133236.6064-4.60636
2143033.4227-3.42273
2153534.56690.433118
2162830.2243-2.22434
2173335.5717-2.57173
2183934.44894.55106
2193633.91322.0868
2203636.7662-0.766182
2213533.4171.583
2223834.96493.03506
2233333.1296-0.129552
2243133.1582-2.15823
2253433.92020.0798042
2263234.6052-2.60517
2273133.3597-2.35969
2283333.9309-0.930933
2293432.79721.20284
2303434.1298-0.12975
2313432.4551.54496
2323334.8871-1.88712
2333234.4726-2.47264
2344134.1746.82603
2353433.34810.651912
2363632.19083.80919
2373731.03165.96843
2383630.4165.58402
2392932.8453-3.84529
2403731.75485.24523
2412733.2966-6.29659
2423533.48461.51536
2432830.822-2.82204
2443533.51521.4848
2453733.3453.65503
2462934.1472-5.14719
2473234.5444-2.54435
2483632.20913.79088
2491927.6891-8.68914
2502127.3029-6.30293
2513133.9145-2.91446
2523332.90040.0996309
2533633.97582.02421
2543333.62-0.619981
2553733.2523.74802
2563433.49960.500421
2573535.454-0.453975
2583132.8499-1.84985
2593734.00822.99182
2603531.13743.86257
2612732.4298-5.42977
2623435.4334-1.43344
2634034.02795.97209
2642933.3891-4.38911

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 41 & 35.3597 & 5.64033 \tabularnewline
2 & 39 & 34.1418 & 4.85821 \tabularnewline
3 & 30 & 34.8918 & -4.8918 \tabularnewline
4 & 31 & 33.8412 & -2.84117 \tabularnewline
5 & 34 & 35.6543 & -1.65435 \tabularnewline
6 & 35 & 32.3082 & 2.69176 \tabularnewline
7 & 39 & 33.217 & 5.78298 \tabularnewline
8 & 34 & 35.264 & -1.26401 \tabularnewline
9 & 36 & 34.7025 & 1.29748 \tabularnewline
10 & 37 & 36.3205 & 0.67951 \tabularnewline
11 & 38 & 33.5864 & 4.41357 \tabularnewline
12 & 36 & 34.464 & 1.53598 \tabularnewline
13 & 38 & 34.4921 & 3.5079 \tabularnewline
14 & 39 & 36.0258 & 2.97422 \tabularnewline
15 & 33 & 36.4103 & -3.4103 \tabularnewline
16 & 32 & 33.5814 & -1.58143 \tabularnewline
17 & 36 & 33.5651 & 2.43489 \tabularnewline
18 & 38 & 37.3647 & 0.635341 \tabularnewline
19 & 39 & 36.385 & 2.61502 \tabularnewline
20 & 32 & 33.4264 & -1.42643 \tabularnewline
21 & 32 & 34.2336 & -2.23362 \tabularnewline
22 & 31 & 32.8388 & -1.83883 \tabularnewline
23 & 39 & 36.2592 & 2.7408 \tabularnewline
24 & 37 & 36.2044 & 0.795634 \tabularnewline
25 & 39 & 34.243 & 4.75698 \tabularnewline
26 & 41 & 33.4852 & 7.51485 \tabularnewline
27 & 36 & 35.1991 & 0.800919 \tabularnewline
28 & 33 & 35.4777 & -2.47769 \tabularnewline
29 & 33 & 34.2152 & -1.21524 \tabularnewline
30 & 34 & 33.4625 & 0.537451 \tabularnewline
31 & 31 & 33.3036 & -2.30363 \tabularnewline
32 & 27 & 32.6808 & -5.68084 \tabularnewline
33 & 37 & 33.1183 & 3.8817 \tabularnewline
34 & 34 & 36.0855 & -2.08545 \tabularnewline
35 & 34 & 32.4423 & 1.55771 \tabularnewline
36 & 32 & 33.4196 & -1.41964 \tabularnewline
37 & 29 & 31.784 & -2.784 \tabularnewline
38 & 36 & 33.7674 & 2.23259 \tabularnewline
39 & 29 & 33.5255 & -4.52551 \tabularnewline
40 & 35 & 33.9584 & 1.04161 \tabularnewline
41 & 37 & 33.7724 & 3.22759 \tabularnewline
42 & 34 & 33.9234 & 0.0765684 \tabularnewline
43 & 38 & 33.8636 & 4.13644 \tabularnewline
44 & 35 & 33.2327 & 1.76731 \tabularnewline
45 & 38 & 31.6168 & 6.38315 \tabularnewline
46 & 37 & 33.823 & 3.17695 \tabularnewline
47 & 38 & 36.2303 & 1.76966 \tabularnewline
48 & 33 & 34.4763 & -1.47632 \tabularnewline
49 & 36 & 36.5068 & -0.50676 \tabularnewline
50 & 38 & 33.262 & 4.738 \tabularnewline
51 & 32 & 36.2781 & -4.2781 \tabularnewline
52 & 32 & 32.3756 & -0.375626 \tabularnewline
53 & 32 & 33.0001 & -1.00015 \tabularnewline
54 & 34 & 35.8136 & -1.81363 \tabularnewline
55 & 32 & 32.4436 & -0.443617 \tabularnewline
56 & 37 & 34.9696 & 2.03035 \tabularnewline
57 & 39 & 34.6459 & 4.35413 \tabularnewline
58 & 29 & 34.4289 & -5.42892 \tabularnewline
59 & 37 & 35.0855 & 1.91447 \tabularnewline
60 & 35 & 34.341 & 0.658993 \tabularnewline
61 & 30 & 30.576 & -0.576019 \tabularnewline
62 & 38 & 34.4825 & 3.51755 \tabularnewline
63 & 34 & 34.7554 & -0.755404 \tabularnewline
64 & 31 & 34.2187 & -3.21868 \tabularnewline
65 & 34 & 32.8536 & 1.14637 \tabularnewline
66 & 35 & 35.7454 & -0.745382 \tabularnewline
67 & 36 & 34.7767 & 1.22327 \tabularnewline
68 & 30 & 31.6102 & -1.61022 \tabularnewline
69 & 39 & 36.3589 & 2.6411 \tabularnewline
70 & 35 & 35.7808 & -0.780807 \tabularnewline
71 & 38 & 34.4623 & 3.53765 \tabularnewline
72 & 31 & 35.7201 & -4.72013 \tabularnewline
73 & 34 & 37.1289 & -3.12886 \tabularnewline
74 & 38 & 37.7593 & 0.240682 \tabularnewline
75 & 34 & 31.565 & 2.435 \tabularnewline
76 & 39 & 32.9863 & 6.01367 \tabularnewline
77 & 37 & 35.9129 & 1.08707 \tabularnewline
78 & 34 & 33.0465 & 0.953541 \tabularnewline
79 & 28 & 32.8623 & -4.86226 \tabularnewline
80 & 37 & 30.9557 & 6.04429 \tabularnewline
81 & 33 & 35.5468 & -2.54681 \tabularnewline
82 & 35 & 35.8214 & -0.821426 \tabularnewline
83 & 37 & 34.0356 & 2.96436 \tabularnewline
84 & 32 & 34.4154 & -2.41539 \tabularnewline
85 & 33 & 33.3215 & -0.32147 \tabularnewline
86 & 38 & 36.5844 & 1.41556 \tabularnewline
87 & 33 & 34.3948 & -1.39476 \tabularnewline
88 & 29 & 33.1412 & -4.14115 \tabularnewline
89 & 33 & 33.3017 & -0.301677 \tabularnewline
90 & 31 & 35.0765 & -4.07646 \tabularnewline
91 & 36 & 33.1807 & 2.81927 \tabularnewline
92 & 35 & 37.6916 & -2.69164 \tabularnewline
93 & 32 & 31.8834 & 0.116582 \tabularnewline
94 & 29 & 32.3365 & -3.33654 \tabularnewline
95 & 39 & 35.7174 & 3.28259 \tabularnewline
96 & 37 & 34.6445 & 2.35547 \tabularnewline
97 & 35 & 33.3795 & 1.62047 \tabularnewline
98 & 37 & 34.8628 & 2.13718 \tabularnewline
99 & 32 & 35.2557 & -3.25573 \tabularnewline
100 & 38 & 35.5599 & 2.44005 \tabularnewline
101 & 37 & 34.8013 & 2.19873 \tabularnewline
102 & 36 & 36.6786 & -0.678604 \tabularnewline
103 & 32 & 31.3719 & 0.62813 \tabularnewline
104 & 33 & 36.8958 & -3.89583 \tabularnewline
105 & 40 & 32.6679 & 7.33213 \tabularnewline
106 & 38 & 35.2764 & 2.72359 \tabularnewline
107 & 41 & 36.6956 & 4.3044 \tabularnewline
108 & 36 & 34.2658 & 1.73417 \tabularnewline
109 & 43 & 36.7027 & 6.29733 \tabularnewline
110 & 30 & 34.7945 & -4.79449 \tabularnewline
111 & 31 & 33.7594 & -2.75937 \tabularnewline
112 & 32 & 37.9561 & -5.95607 \tabularnewline
113 & 32 & 32.9073 & -0.907333 \tabularnewline
114 & 37 & 34.3002 & 2.69976 \tabularnewline
115 & 37 & 34.2833 & 2.71669 \tabularnewline
116 & 33 & 36.3692 & -3.36924 \tabularnewline
117 & 34 & 36.822 & -2.82202 \tabularnewline
118 & 33 & 34.4111 & -1.41111 \tabularnewline
119 & 38 & 35.6954 & 2.30456 \tabularnewline
120 & 33 & 34.8311 & -1.83108 \tabularnewline
121 & 31 & 31.4395 & -0.439548 \tabularnewline
122 & 38 & 36.6027 & 1.39731 \tabularnewline
123 & 37 & 36.2846 & 0.71544 \tabularnewline
124 & 36 & 33.0489 & 2.95107 \tabularnewline
125 & 31 & 33.9727 & -2.97273 \tabularnewline
126 & 39 & 34.0941 & 4.9059 \tabularnewline
127 & 44 & 37.0967 & 6.90332 \tabularnewline
128 & 33 & 35.847 & -2.84699 \tabularnewline
129 & 35 & 33.5198 & 1.48019 \tabularnewline
130 & 32 & 33.999 & -1.99901 \tabularnewline
131 & 28 & 32.2065 & -4.20652 \tabularnewline
132 & 40 & 36.0943 & 3.90571 \tabularnewline
133 & 27 & 32.0664 & -5.06638 \tabularnewline
134 & 37 & 36.0138 & 0.986213 \tabularnewline
135 & 32 & 32.531 & -0.531 \tabularnewline
136 & 28 & 28.2755 & -0.275464 \tabularnewline
137 & 34 & 34.5949 & -0.594911 \tabularnewline
138 & 30 & 33.6142 & -3.61422 \tabularnewline
139 & 35 & 33.9077 & 1.09232 \tabularnewline
140 & 31 & 34.1062 & -3.10618 \tabularnewline
141 & 32 & 34.3159 & -2.3159 \tabularnewline
142 & 30 & 36.1207 & -6.12066 \tabularnewline
143 & 30 & 35.2167 & -5.21668 \tabularnewline
144 & 31 & 29.8618 & 1.13821 \tabularnewline
145 & 40 & 32.8733 & 7.12672 \tabularnewline
146 & 32 & 31.8948 & 0.10523 \tabularnewline
147 & 36 & 34.4033 & 1.59668 \tabularnewline
148 & 32 & 33.0558 & -1.05578 \tabularnewline
149 & 35 & 32.8827 & 2.11732 \tabularnewline
150 & 38 & 36.3265 & 1.67349 \tabularnewline
151 & 42 & 35.6438 & 6.35624 \tabularnewline
152 & 34 & 36.4466 & -2.44655 \tabularnewline
153 & 35 & 36.7181 & -1.71808 \tabularnewline
154 & 38 & 33.8662 & 4.1338 \tabularnewline
155 & 33 & 32.4255 & 0.574472 \tabularnewline
156 & 36 & 33.1807 & 2.81927 \tabularnewline
157 & 32 & 35.474 & -3.47405 \tabularnewline
158 & 33 & 35.847 & -2.84699 \tabularnewline
159 & 34 & 33.7882 & 0.211806 \tabularnewline
160 & 32 & 35.8379 & -3.83789 \tabularnewline
161 & 34 & 34.8867 & -0.886674 \tabularnewline
162 & 27 & 30.155 & -3.155 \tabularnewline
163 & 31 & 30.6815 & 0.31855 \tabularnewline
164 & 38 & 34.4486 & 3.55142 \tabularnewline
165 & 34 & 36.2647 & -2.26468 \tabularnewline
166 & 24 & 31.3514 & -7.35144 \tabularnewline
167 & 30 & 33.8725 & -3.87255 \tabularnewline
168 & 26 & 29.6488 & -3.64879 \tabularnewline
169 & 34 & 35.5747 & -1.57474 \tabularnewline
170 & 27 & 35.4134 & -8.41336 \tabularnewline
171 & 37 & 32.2278 & 4.77224 \tabularnewline
172 & 36 & 35.9165 & 0.0834823 \tabularnewline
173 & 41 & 34.1049 & 6.89509 \tabularnewline
174 & 29 & 29.302 & -0.302031 \tabularnewline
175 & 36 & 31.3714 & 4.6286 \tabularnewline
176 & 32 & 34.8248 & -2.82477 \tabularnewline
177 & 37 & 33.1031 & 3.89686 \tabularnewline
178 & 30 & 31.9988 & -1.99878 \tabularnewline
179 & 31 & 32.9623 & -1.96228 \tabularnewline
180 & 38 & 35.0852 & 2.91483 \tabularnewline
181 & 36 & 34.9643 & 1.03571 \tabularnewline
182 & 35 & 31.9934 & 3.00664 \tabularnewline
183 & 31 & 35.7093 & -4.70926 \tabularnewline
184 & 38 & 33.5912 & 4.40884 \tabularnewline
185 & 22 & 31.1053 & -9.10535 \tabularnewline
186 & 32 & 35.3363 & -3.33632 \tabularnewline
187 & 36 & 34.6869 & 1.31311 \tabularnewline
188 & 39 & 33.1013 & 5.89871 \tabularnewline
189 & 28 & 30.8174 & -2.81741 \tabularnewline
190 & 32 & 34.3822 & -2.38223 \tabularnewline
191 & 32 & 34.1093 & -2.10933 \tabularnewline
192 & 38 & 37.1392 & 0.860849 \tabularnewline
193 & 32 & 33.7609 & -1.7609 \tabularnewline
194 & 35 & 35.3773 & -0.377264 \tabularnewline
195 & 32 & 33.2733 & -1.27331 \tabularnewline
196 & 37 & 35.861 & 1.13897 \tabularnewline
197 & 34 & 33.3998 & 0.600159 \tabularnewline
198 & 33 & 36.0716 & -3.0716 \tabularnewline
199 & 33 & 33.1744 & -0.174407 \tabularnewline
200 & 26 & 33.6083 & -7.60827 \tabularnewline
201 & 30 & 32.2725 & -2.27249 \tabularnewline
202 & 24 & 32.491 & -8.49103 \tabularnewline
203 & 34 & 32.7788 & 1.2212 \tabularnewline
204 & 34 & 32.5298 & 1.47016 \tabularnewline
205 & 33 & 34.5286 & -1.52865 \tabularnewline
206 & 34 & 35.3302 & -1.33019 \tabularnewline
207 & 35 & 36.0687 & -1.06873 \tabularnewline
208 & 35 & 35.0732 & -0.073235 \tabularnewline
209 & 36 & 33.2146 & 2.78545 \tabularnewline
210 & 34 & 34.3346 & -0.334551 \tabularnewline
211 & 34 & 32.8709 & 1.1291 \tabularnewline
212 & 41 & 38.6085 & 2.39146 \tabularnewline
213 & 32 & 36.6064 & -4.60636 \tabularnewline
214 & 30 & 33.4227 & -3.42273 \tabularnewline
215 & 35 & 34.5669 & 0.433118 \tabularnewline
216 & 28 & 30.2243 & -2.22434 \tabularnewline
217 & 33 & 35.5717 & -2.57173 \tabularnewline
218 & 39 & 34.4489 & 4.55106 \tabularnewline
219 & 36 & 33.9132 & 2.0868 \tabularnewline
220 & 36 & 36.7662 & -0.766182 \tabularnewline
221 & 35 & 33.417 & 1.583 \tabularnewline
222 & 38 & 34.9649 & 3.03506 \tabularnewline
223 & 33 & 33.1296 & -0.129552 \tabularnewline
224 & 31 & 33.1582 & -2.15823 \tabularnewline
225 & 34 & 33.9202 & 0.0798042 \tabularnewline
226 & 32 & 34.6052 & -2.60517 \tabularnewline
227 & 31 & 33.3597 & -2.35969 \tabularnewline
228 & 33 & 33.9309 & -0.930933 \tabularnewline
229 & 34 & 32.7972 & 1.20284 \tabularnewline
230 & 34 & 34.1298 & -0.12975 \tabularnewline
231 & 34 & 32.455 & 1.54496 \tabularnewline
232 & 33 & 34.8871 & -1.88712 \tabularnewline
233 & 32 & 34.4726 & -2.47264 \tabularnewline
234 & 41 & 34.174 & 6.82603 \tabularnewline
235 & 34 & 33.3481 & 0.651912 \tabularnewline
236 & 36 & 32.1908 & 3.80919 \tabularnewline
237 & 37 & 31.0316 & 5.96843 \tabularnewline
238 & 36 & 30.416 & 5.58402 \tabularnewline
239 & 29 & 32.8453 & -3.84529 \tabularnewline
240 & 37 & 31.7548 & 5.24523 \tabularnewline
241 & 27 & 33.2966 & -6.29659 \tabularnewline
242 & 35 & 33.4846 & 1.51536 \tabularnewline
243 & 28 & 30.822 & -2.82204 \tabularnewline
244 & 35 & 33.5152 & 1.4848 \tabularnewline
245 & 37 & 33.345 & 3.65503 \tabularnewline
246 & 29 & 34.1472 & -5.14719 \tabularnewline
247 & 32 & 34.5444 & -2.54435 \tabularnewline
248 & 36 & 32.2091 & 3.79088 \tabularnewline
249 & 19 & 27.6891 & -8.68914 \tabularnewline
250 & 21 & 27.3029 & -6.30293 \tabularnewline
251 & 31 & 33.9145 & -2.91446 \tabularnewline
252 & 33 & 32.9004 & 0.0996309 \tabularnewline
253 & 36 & 33.9758 & 2.02421 \tabularnewline
254 & 33 & 33.62 & -0.619981 \tabularnewline
255 & 37 & 33.252 & 3.74802 \tabularnewline
256 & 34 & 33.4996 & 0.500421 \tabularnewline
257 & 35 & 35.454 & -0.453975 \tabularnewline
258 & 31 & 32.8499 & -1.84985 \tabularnewline
259 & 37 & 34.0082 & 2.99182 \tabularnewline
260 & 35 & 31.1374 & 3.86257 \tabularnewline
261 & 27 & 32.4298 & -5.42977 \tabularnewline
262 & 34 & 35.4334 & -1.43344 \tabularnewline
263 & 40 & 34.0279 & 5.97209 \tabularnewline
264 & 29 & 33.3891 & -4.38911 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253733&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]35.3597[/C][C]5.64033[/C][/ROW]
[ROW][C]2[/C][C]39[/C][C]34.1418[/C][C]4.85821[/C][/ROW]
[ROW][C]3[/C][C]30[/C][C]34.8918[/C][C]-4.8918[/C][/ROW]
[ROW][C]4[/C][C]31[/C][C]33.8412[/C][C]-2.84117[/C][/ROW]
[ROW][C]5[/C][C]34[/C][C]35.6543[/C][C]-1.65435[/C][/ROW]
[ROW][C]6[/C][C]35[/C][C]32.3082[/C][C]2.69176[/C][/ROW]
[ROW][C]7[/C][C]39[/C][C]33.217[/C][C]5.78298[/C][/ROW]
[ROW][C]8[/C][C]34[/C][C]35.264[/C][C]-1.26401[/C][/ROW]
[ROW][C]9[/C][C]36[/C][C]34.7025[/C][C]1.29748[/C][/ROW]
[ROW][C]10[/C][C]37[/C][C]36.3205[/C][C]0.67951[/C][/ROW]
[ROW][C]11[/C][C]38[/C][C]33.5864[/C][C]4.41357[/C][/ROW]
[ROW][C]12[/C][C]36[/C][C]34.464[/C][C]1.53598[/C][/ROW]
[ROW][C]13[/C][C]38[/C][C]34.4921[/C][C]3.5079[/C][/ROW]
[ROW][C]14[/C][C]39[/C][C]36.0258[/C][C]2.97422[/C][/ROW]
[ROW][C]15[/C][C]33[/C][C]36.4103[/C][C]-3.4103[/C][/ROW]
[ROW][C]16[/C][C]32[/C][C]33.5814[/C][C]-1.58143[/C][/ROW]
[ROW][C]17[/C][C]36[/C][C]33.5651[/C][C]2.43489[/C][/ROW]
[ROW][C]18[/C][C]38[/C][C]37.3647[/C][C]0.635341[/C][/ROW]
[ROW][C]19[/C][C]39[/C][C]36.385[/C][C]2.61502[/C][/ROW]
[ROW][C]20[/C][C]32[/C][C]33.4264[/C][C]-1.42643[/C][/ROW]
[ROW][C]21[/C][C]32[/C][C]34.2336[/C][C]-2.23362[/C][/ROW]
[ROW][C]22[/C][C]31[/C][C]32.8388[/C][C]-1.83883[/C][/ROW]
[ROW][C]23[/C][C]39[/C][C]36.2592[/C][C]2.7408[/C][/ROW]
[ROW][C]24[/C][C]37[/C][C]36.2044[/C][C]0.795634[/C][/ROW]
[ROW][C]25[/C][C]39[/C][C]34.243[/C][C]4.75698[/C][/ROW]
[ROW][C]26[/C][C]41[/C][C]33.4852[/C][C]7.51485[/C][/ROW]
[ROW][C]27[/C][C]36[/C][C]35.1991[/C][C]0.800919[/C][/ROW]
[ROW][C]28[/C][C]33[/C][C]35.4777[/C][C]-2.47769[/C][/ROW]
[ROW][C]29[/C][C]33[/C][C]34.2152[/C][C]-1.21524[/C][/ROW]
[ROW][C]30[/C][C]34[/C][C]33.4625[/C][C]0.537451[/C][/ROW]
[ROW][C]31[/C][C]31[/C][C]33.3036[/C][C]-2.30363[/C][/ROW]
[ROW][C]32[/C][C]27[/C][C]32.6808[/C][C]-5.68084[/C][/ROW]
[ROW][C]33[/C][C]37[/C][C]33.1183[/C][C]3.8817[/C][/ROW]
[ROW][C]34[/C][C]34[/C][C]36.0855[/C][C]-2.08545[/C][/ROW]
[ROW][C]35[/C][C]34[/C][C]32.4423[/C][C]1.55771[/C][/ROW]
[ROW][C]36[/C][C]32[/C][C]33.4196[/C][C]-1.41964[/C][/ROW]
[ROW][C]37[/C][C]29[/C][C]31.784[/C][C]-2.784[/C][/ROW]
[ROW][C]38[/C][C]36[/C][C]33.7674[/C][C]2.23259[/C][/ROW]
[ROW][C]39[/C][C]29[/C][C]33.5255[/C][C]-4.52551[/C][/ROW]
[ROW][C]40[/C][C]35[/C][C]33.9584[/C][C]1.04161[/C][/ROW]
[ROW][C]41[/C][C]37[/C][C]33.7724[/C][C]3.22759[/C][/ROW]
[ROW][C]42[/C][C]34[/C][C]33.9234[/C][C]0.0765684[/C][/ROW]
[ROW][C]43[/C][C]38[/C][C]33.8636[/C][C]4.13644[/C][/ROW]
[ROW][C]44[/C][C]35[/C][C]33.2327[/C][C]1.76731[/C][/ROW]
[ROW][C]45[/C][C]38[/C][C]31.6168[/C][C]6.38315[/C][/ROW]
[ROW][C]46[/C][C]37[/C][C]33.823[/C][C]3.17695[/C][/ROW]
[ROW][C]47[/C][C]38[/C][C]36.2303[/C][C]1.76966[/C][/ROW]
[ROW][C]48[/C][C]33[/C][C]34.4763[/C][C]-1.47632[/C][/ROW]
[ROW][C]49[/C][C]36[/C][C]36.5068[/C][C]-0.50676[/C][/ROW]
[ROW][C]50[/C][C]38[/C][C]33.262[/C][C]4.738[/C][/ROW]
[ROW][C]51[/C][C]32[/C][C]36.2781[/C][C]-4.2781[/C][/ROW]
[ROW][C]52[/C][C]32[/C][C]32.3756[/C][C]-0.375626[/C][/ROW]
[ROW][C]53[/C][C]32[/C][C]33.0001[/C][C]-1.00015[/C][/ROW]
[ROW][C]54[/C][C]34[/C][C]35.8136[/C][C]-1.81363[/C][/ROW]
[ROW][C]55[/C][C]32[/C][C]32.4436[/C][C]-0.443617[/C][/ROW]
[ROW][C]56[/C][C]37[/C][C]34.9696[/C][C]2.03035[/C][/ROW]
[ROW][C]57[/C][C]39[/C][C]34.6459[/C][C]4.35413[/C][/ROW]
[ROW][C]58[/C][C]29[/C][C]34.4289[/C][C]-5.42892[/C][/ROW]
[ROW][C]59[/C][C]37[/C][C]35.0855[/C][C]1.91447[/C][/ROW]
[ROW][C]60[/C][C]35[/C][C]34.341[/C][C]0.658993[/C][/ROW]
[ROW][C]61[/C][C]30[/C][C]30.576[/C][C]-0.576019[/C][/ROW]
[ROW][C]62[/C][C]38[/C][C]34.4825[/C][C]3.51755[/C][/ROW]
[ROW][C]63[/C][C]34[/C][C]34.7554[/C][C]-0.755404[/C][/ROW]
[ROW][C]64[/C][C]31[/C][C]34.2187[/C][C]-3.21868[/C][/ROW]
[ROW][C]65[/C][C]34[/C][C]32.8536[/C][C]1.14637[/C][/ROW]
[ROW][C]66[/C][C]35[/C][C]35.7454[/C][C]-0.745382[/C][/ROW]
[ROW][C]67[/C][C]36[/C][C]34.7767[/C][C]1.22327[/C][/ROW]
[ROW][C]68[/C][C]30[/C][C]31.6102[/C][C]-1.61022[/C][/ROW]
[ROW][C]69[/C][C]39[/C][C]36.3589[/C][C]2.6411[/C][/ROW]
[ROW][C]70[/C][C]35[/C][C]35.7808[/C][C]-0.780807[/C][/ROW]
[ROW][C]71[/C][C]38[/C][C]34.4623[/C][C]3.53765[/C][/ROW]
[ROW][C]72[/C][C]31[/C][C]35.7201[/C][C]-4.72013[/C][/ROW]
[ROW][C]73[/C][C]34[/C][C]37.1289[/C][C]-3.12886[/C][/ROW]
[ROW][C]74[/C][C]38[/C][C]37.7593[/C][C]0.240682[/C][/ROW]
[ROW][C]75[/C][C]34[/C][C]31.565[/C][C]2.435[/C][/ROW]
[ROW][C]76[/C][C]39[/C][C]32.9863[/C][C]6.01367[/C][/ROW]
[ROW][C]77[/C][C]37[/C][C]35.9129[/C][C]1.08707[/C][/ROW]
[ROW][C]78[/C][C]34[/C][C]33.0465[/C][C]0.953541[/C][/ROW]
[ROW][C]79[/C][C]28[/C][C]32.8623[/C][C]-4.86226[/C][/ROW]
[ROW][C]80[/C][C]37[/C][C]30.9557[/C][C]6.04429[/C][/ROW]
[ROW][C]81[/C][C]33[/C][C]35.5468[/C][C]-2.54681[/C][/ROW]
[ROW][C]82[/C][C]35[/C][C]35.8214[/C][C]-0.821426[/C][/ROW]
[ROW][C]83[/C][C]37[/C][C]34.0356[/C][C]2.96436[/C][/ROW]
[ROW][C]84[/C][C]32[/C][C]34.4154[/C][C]-2.41539[/C][/ROW]
[ROW][C]85[/C][C]33[/C][C]33.3215[/C][C]-0.32147[/C][/ROW]
[ROW][C]86[/C][C]38[/C][C]36.5844[/C][C]1.41556[/C][/ROW]
[ROW][C]87[/C][C]33[/C][C]34.3948[/C][C]-1.39476[/C][/ROW]
[ROW][C]88[/C][C]29[/C][C]33.1412[/C][C]-4.14115[/C][/ROW]
[ROW][C]89[/C][C]33[/C][C]33.3017[/C][C]-0.301677[/C][/ROW]
[ROW][C]90[/C][C]31[/C][C]35.0765[/C][C]-4.07646[/C][/ROW]
[ROW][C]91[/C][C]36[/C][C]33.1807[/C][C]2.81927[/C][/ROW]
[ROW][C]92[/C][C]35[/C][C]37.6916[/C][C]-2.69164[/C][/ROW]
[ROW][C]93[/C][C]32[/C][C]31.8834[/C][C]0.116582[/C][/ROW]
[ROW][C]94[/C][C]29[/C][C]32.3365[/C][C]-3.33654[/C][/ROW]
[ROW][C]95[/C][C]39[/C][C]35.7174[/C][C]3.28259[/C][/ROW]
[ROW][C]96[/C][C]37[/C][C]34.6445[/C][C]2.35547[/C][/ROW]
[ROW][C]97[/C][C]35[/C][C]33.3795[/C][C]1.62047[/C][/ROW]
[ROW][C]98[/C][C]37[/C][C]34.8628[/C][C]2.13718[/C][/ROW]
[ROW][C]99[/C][C]32[/C][C]35.2557[/C][C]-3.25573[/C][/ROW]
[ROW][C]100[/C][C]38[/C][C]35.5599[/C][C]2.44005[/C][/ROW]
[ROW][C]101[/C][C]37[/C][C]34.8013[/C][C]2.19873[/C][/ROW]
[ROW][C]102[/C][C]36[/C][C]36.6786[/C][C]-0.678604[/C][/ROW]
[ROW][C]103[/C][C]32[/C][C]31.3719[/C][C]0.62813[/C][/ROW]
[ROW][C]104[/C][C]33[/C][C]36.8958[/C][C]-3.89583[/C][/ROW]
[ROW][C]105[/C][C]40[/C][C]32.6679[/C][C]7.33213[/C][/ROW]
[ROW][C]106[/C][C]38[/C][C]35.2764[/C][C]2.72359[/C][/ROW]
[ROW][C]107[/C][C]41[/C][C]36.6956[/C][C]4.3044[/C][/ROW]
[ROW][C]108[/C][C]36[/C][C]34.2658[/C][C]1.73417[/C][/ROW]
[ROW][C]109[/C][C]43[/C][C]36.7027[/C][C]6.29733[/C][/ROW]
[ROW][C]110[/C][C]30[/C][C]34.7945[/C][C]-4.79449[/C][/ROW]
[ROW][C]111[/C][C]31[/C][C]33.7594[/C][C]-2.75937[/C][/ROW]
[ROW][C]112[/C][C]32[/C][C]37.9561[/C][C]-5.95607[/C][/ROW]
[ROW][C]113[/C][C]32[/C][C]32.9073[/C][C]-0.907333[/C][/ROW]
[ROW][C]114[/C][C]37[/C][C]34.3002[/C][C]2.69976[/C][/ROW]
[ROW][C]115[/C][C]37[/C][C]34.2833[/C][C]2.71669[/C][/ROW]
[ROW][C]116[/C][C]33[/C][C]36.3692[/C][C]-3.36924[/C][/ROW]
[ROW][C]117[/C][C]34[/C][C]36.822[/C][C]-2.82202[/C][/ROW]
[ROW][C]118[/C][C]33[/C][C]34.4111[/C][C]-1.41111[/C][/ROW]
[ROW][C]119[/C][C]38[/C][C]35.6954[/C][C]2.30456[/C][/ROW]
[ROW][C]120[/C][C]33[/C][C]34.8311[/C][C]-1.83108[/C][/ROW]
[ROW][C]121[/C][C]31[/C][C]31.4395[/C][C]-0.439548[/C][/ROW]
[ROW][C]122[/C][C]38[/C][C]36.6027[/C][C]1.39731[/C][/ROW]
[ROW][C]123[/C][C]37[/C][C]36.2846[/C][C]0.71544[/C][/ROW]
[ROW][C]124[/C][C]36[/C][C]33.0489[/C][C]2.95107[/C][/ROW]
[ROW][C]125[/C][C]31[/C][C]33.9727[/C][C]-2.97273[/C][/ROW]
[ROW][C]126[/C][C]39[/C][C]34.0941[/C][C]4.9059[/C][/ROW]
[ROW][C]127[/C][C]44[/C][C]37.0967[/C][C]6.90332[/C][/ROW]
[ROW][C]128[/C][C]33[/C][C]35.847[/C][C]-2.84699[/C][/ROW]
[ROW][C]129[/C][C]35[/C][C]33.5198[/C][C]1.48019[/C][/ROW]
[ROW][C]130[/C][C]32[/C][C]33.999[/C][C]-1.99901[/C][/ROW]
[ROW][C]131[/C][C]28[/C][C]32.2065[/C][C]-4.20652[/C][/ROW]
[ROW][C]132[/C][C]40[/C][C]36.0943[/C][C]3.90571[/C][/ROW]
[ROW][C]133[/C][C]27[/C][C]32.0664[/C][C]-5.06638[/C][/ROW]
[ROW][C]134[/C][C]37[/C][C]36.0138[/C][C]0.986213[/C][/ROW]
[ROW][C]135[/C][C]32[/C][C]32.531[/C][C]-0.531[/C][/ROW]
[ROW][C]136[/C][C]28[/C][C]28.2755[/C][C]-0.275464[/C][/ROW]
[ROW][C]137[/C][C]34[/C][C]34.5949[/C][C]-0.594911[/C][/ROW]
[ROW][C]138[/C][C]30[/C][C]33.6142[/C][C]-3.61422[/C][/ROW]
[ROW][C]139[/C][C]35[/C][C]33.9077[/C][C]1.09232[/C][/ROW]
[ROW][C]140[/C][C]31[/C][C]34.1062[/C][C]-3.10618[/C][/ROW]
[ROW][C]141[/C][C]32[/C][C]34.3159[/C][C]-2.3159[/C][/ROW]
[ROW][C]142[/C][C]30[/C][C]36.1207[/C][C]-6.12066[/C][/ROW]
[ROW][C]143[/C][C]30[/C][C]35.2167[/C][C]-5.21668[/C][/ROW]
[ROW][C]144[/C][C]31[/C][C]29.8618[/C][C]1.13821[/C][/ROW]
[ROW][C]145[/C][C]40[/C][C]32.8733[/C][C]7.12672[/C][/ROW]
[ROW][C]146[/C][C]32[/C][C]31.8948[/C][C]0.10523[/C][/ROW]
[ROW][C]147[/C][C]36[/C][C]34.4033[/C][C]1.59668[/C][/ROW]
[ROW][C]148[/C][C]32[/C][C]33.0558[/C][C]-1.05578[/C][/ROW]
[ROW][C]149[/C][C]35[/C][C]32.8827[/C][C]2.11732[/C][/ROW]
[ROW][C]150[/C][C]38[/C][C]36.3265[/C][C]1.67349[/C][/ROW]
[ROW][C]151[/C][C]42[/C][C]35.6438[/C][C]6.35624[/C][/ROW]
[ROW][C]152[/C][C]34[/C][C]36.4466[/C][C]-2.44655[/C][/ROW]
[ROW][C]153[/C][C]35[/C][C]36.7181[/C][C]-1.71808[/C][/ROW]
[ROW][C]154[/C][C]38[/C][C]33.8662[/C][C]4.1338[/C][/ROW]
[ROW][C]155[/C][C]33[/C][C]32.4255[/C][C]0.574472[/C][/ROW]
[ROW][C]156[/C][C]36[/C][C]33.1807[/C][C]2.81927[/C][/ROW]
[ROW][C]157[/C][C]32[/C][C]35.474[/C][C]-3.47405[/C][/ROW]
[ROW][C]158[/C][C]33[/C][C]35.847[/C][C]-2.84699[/C][/ROW]
[ROW][C]159[/C][C]34[/C][C]33.7882[/C][C]0.211806[/C][/ROW]
[ROW][C]160[/C][C]32[/C][C]35.8379[/C][C]-3.83789[/C][/ROW]
[ROW][C]161[/C][C]34[/C][C]34.8867[/C][C]-0.886674[/C][/ROW]
[ROW][C]162[/C][C]27[/C][C]30.155[/C][C]-3.155[/C][/ROW]
[ROW][C]163[/C][C]31[/C][C]30.6815[/C][C]0.31855[/C][/ROW]
[ROW][C]164[/C][C]38[/C][C]34.4486[/C][C]3.55142[/C][/ROW]
[ROW][C]165[/C][C]34[/C][C]36.2647[/C][C]-2.26468[/C][/ROW]
[ROW][C]166[/C][C]24[/C][C]31.3514[/C][C]-7.35144[/C][/ROW]
[ROW][C]167[/C][C]30[/C][C]33.8725[/C][C]-3.87255[/C][/ROW]
[ROW][C]168[/C][C]26[/C][C]29.6488[/C][C]-3.64879[/C][/ROW]
[ROW][C]169[/C][C]34[/C][C]35.5747[/C][C]-1.57474[/C][/ROW]
[ROW][C]170[/C][C]27[/C][C]35.4134[/C][C]-8.41336[/C][/ROW]
[ROW][C]171[/C][C]37[/C][C]32.2278[/C][C]4.77224[/C][/ROW]
[ROW][C]172[/C][C]36[/C][C]35.9165[/C][C]0.0834823[/C][/ROW]
[ROW][C]173[/C][C]41[/C][C]34.1049[/C][C]6.89509[/C][/ROW]
[ROW][C]174[/C][C]29[/C][C]29.302[/C][C]-0.302031[/C][/ROW]
[ROW][C]175[/C][C]36[/C][C]31.3714[/C][C]4.6286[/C][/ROW]
[ROW][C]176[/C][C]32[/C][C]34.8248[/C][C]-2.82477[/C][/ROW]
[ROW][C]177[/C][C]37[/C][C]33.1031[/C][C]3.89686[/C][/ROW]
[ROW][C]178[/C][C]30[/C][C]31.9988[/C][C]-1.99878[/C][/ROW]
[ROW][C]179[/C][C]31[/C][C]32.9623[/C][C]-1.96228[/C][/ROW]
[ROW][C]180[/C][C]38[/C][C]35.0852[/C][C]2.91483[/C][/ROW]
[ROW][C]181[/C][C]36[/C][C]34.9643[/C][C]1.03571[/C][/ROW]
[ROW][C]182[/C][C]35[/C][C]31.9934[/C][C]3.00664[/C][/ROW]
[ROW][C]183[/C][C]31[/C][C]35.7093[/C][C]-4.70926[/C][/ROW]
[ROW][C]184[/C][C]38[/C][C]33.5912[/C][C]4.40884[/C][/ROW]
[ROW][C]185[/C][C]22[/C][C]31.1053[/C][C]-9.10535[/C][/ROW]
[ROW][C]186[/C][C]32[/C][C]35.3363[/C][C]-3.33632[/C][/ROW]
[ROW][C]187[/C][C]36[/C][C]34.6869[/C][C]1.31311[/C][/ROW]
[ROW][C]188[/C][C]39[/C][C]33.1013[/C][C]5.89871[/C][/ROW]
[ROW][C]189[/C][C]28[/C][C]30.8174[/C][C]-2.81741[/C][/ROW]
[ROW][C]190[/C][C]32[/C][C]34.3822[/C][C]-2.38223[/C][/ROW]
[ROW][C]191[/C][C]32[/C][C]34.1093[/C][C]-2.10933[/C][/ROW]
[ROW][C]192[/C][C]38[/C][C]37.1392[/C][C]0.860849[/C][/ROW]
[ROW][C]193[/C][C]32[/C][C]33.7609[/C][C]-1.7609[/C][/ROW]
[ROW][C]194[/C][C]35[/C][C]35.3773[/C][C]-0.377264[/C][/ROW]
[ROW][C]195[/C][C]32[/C][C]33.2733[/C][C]-1.27331[/C][/ROW]
[ROW][C]196[/C][C]37[/C][C]35.861[/C][C]1.13897[/C][/ROW]
[ROW][C]197[/C][C]34[/C][C]33.3998[/C][C]0.600159[/C][/ROW]
[ROW][C]198[/C][C]33[/C][C]36.0716[/C][C]-3.0716[/C][/ROW]
[ROW][C]199[/C][C]33[/C][C]33.1744[/C][C]-0.174407[/C][/ROW]
[ROW][C]200[/C][C]26[/C][C]33.6083[/C][C]-7.60827[/C][/ROW]
[ROW][C]201[/C][C]30[/C][C]32.2725[/C][C]-2.27249[/C][/ROW]
[ROW][C]202[/C][C]24[/C][C]32.491[/C][C]-8.49103[/C][/ROW]
[ROW][C]203[/C][C]34[/C][C]32.7788[/C][C]1.2212[/C][/ROW]
[ROW][C]204[/C][C]34[/C][C]32.5298[/C][C]1.47016[/C][/ROW]
[ROW][C]205[/C][C]33[/C][C]34.5286[/C][C]-1.52865[/C][/ROW]
[ROW][C]206[/C][C]34[/C][C]35.3302[/C][C]-1.33019[/C][/ROW]
[ROW][C]207[/C][C]35[/C][C]36.0687[/C][C]-1.06873[/C][/ROW]
[ROW][C]208[/C][C]35[/C][C]35.0732[/C][C]-0.073235[/C][/ROW]
[ROW][C]209[/C][C]36[/C][C]33.2146[/C][C]2.78545[/C][/ROW]
[ROW][C]210[/C][C]34[/C][C]34.3346[/C][C]-0.334551[/C][/ROW]
[ROW][C]211[/C][C]34[/C][C]32.8709[/C][C]1.1291[/C][/ROW]
[ROW][C]212[/C][C]41[/C][C]38.6085[/C][C]2.39146[/C][/ROW]
[ROW][C]213[/C][C]32[/C][C]36.6064[/C][C]-4.60636[/C][/ROW]
[ROW][C]214[/C][C]30[/C][C]33.4227[/C][C]-3.42273[/C][/ROW]
[ROW][C]215[/C][C]35[/C][C]34.5669[/C][C]0.433118[/C][/ROW]
[ROW][C]216[/C][C]28[/C][C]30.2243[/C][C]-2.22434[/C][/ROW]
[ROW][C]217[/C][C]33[/C][C]35.5717[/C][C]-2.57173[/C][/ROW]
[ROW][C]218[/C][C]39[/C][C]34.4489[/C][C]4.55106[/C][/ROW]
[ROW][C]219[/C][C]36[/C][C]33.9132[/C][C]2.0868[/C][/ROW]
[ROW][C]220[/C][C]36[/C][C]36.7662[/C][C]-0.766182[/C][/ROW]
[ROW][C]221[/C][C]35[/C][C]33.417[/C][C]1.583[/C][/ROW]
[ROW][C]222[/C][C]38[/C][C]34.9649[/C][C]3.03506[/C][/ROW]
[ROW][C]223[/C][C]33[/C][C]33.1296[/C][C]-0.129552[/C][/ROW]
[ROW][C]224[/C][C]31[/C][C]33.1582[/C][C]-2.15823[/C][/ROW]
[ROW][C]225[/C][C]34[/C][C]33.9202[/C][C]0.0798042[/C][/ROW]
[ROW][C]226[/C][C]32[/C][C]34.6052[/C][C]-2.60517[/C][/ROW]
[ROW][C]227[/C][C]31[/C][C]33.3597[/C][C]-2.35969[/C][/ROW]
[ROW][C]228[/C][C]33[/C][C]33.9309[/C][C]-0.930933[/C][/ROW]
[ROW][C]229[/C][C]34[/C][C]32.7972[/C][C]1.20284[/C][/ROW]
[ROW][C]230[/C][C]34[/C][C]34.1298[/C][C]-0.12975[/C][/ROW]
[ROW][C]231[/C][C]34[/C][C]32.455[/C][C]1.54496[/C][/ROW]
[ROW][C]232[/C][C]33[/C][C]34.8871[/C][C]-1.88712[/C][/ROW]
[ROW][C]233[/C][C]32[/C][C]34.4726[/C][C]-2.47264[/C][/ROW]
[ROW][C]234[/C][C]41[/C][C]34.174[/C][C]6.82603[/C][/ROW]
[ROW][C]235[/C][C]34[/C][C]33.3481[/C][C]0.651912[/C][/ROW]
[ROW][C]236[/C][C]36[/C][C]32.1908[/C][C]3.80919[/C][/ROW]
[ROW][C]237[/C][C]37[/C][C]31.0316[/C][C]5.96843[/C][/ROW]
[ROW][C]238[/C][C]36[/C][C]30.416[/C][C]5.58402[/C][/ROW]
[ROW][C]239[/C][C]29[/C][C]32.8453[/C][C]-3.84529[/C][/ROW]
[ROW][C]240[/C][C]37[/C][C]31.7548[/C][C]5.24523[/C][/ROW]
[ROW][C]241[/C][C]27[/C][C]33.2966[/C][C]-6.29659[/C][/ROW]
[ROW][C]242[/C][C]35[/C][C]33.4846[/C][C]1.51536[/C][/ROW]
[ROW][C]243[/C][C]28[/C][C]30.822[/C][C]-2.82204[/C][/ROW]
[ROW][C]244[/C][C]35[/C][C]33.5152[/C][C]1.4848[/C][/ROW]
[ROW][C]245[/C][C]37[/C][C]33.345[/C][C]3.65503[/C][/ROW]
[ROW][C]246[/C][C]29[/C][C]34.1472[/C][C]-5.14719[/C][/ROW]
[ROW][C]247[/C][C]32[/C][C]34.5444[/C][C]-2.54435[/C][/ROW]
[ROW][C]248[/C][C]36[/C][C]32.2091[/C][C]3.79088[/C][/ROW]
[ROW][C]249[/C][C]19[/C][C]27.6891[/C][C]-8.68914[/C][/ROW]
[ROW][C]250[/C][C]21[/C][C]27.3029[/C][C]-6.30293[/C][/ROW]
[ROW][C]251[/C][C]31[/C][C]33.9145[/C][C]-2.91446[/C][/ROW]
[ROW][C]252[/C][C]33[/C][C]32.9004[/C][C]0.0996309[/C][/ROW]
[ROW][C]253[/C][C]36[/C][C]33.9758[/C][C]2.02421[/C][/ROW]
[ROW][C]254[/C][C]33[/C][C]33.62[/C][C]-0.619981[/C][/ROW]
[ROW][C]255[/C][C]37[/C][C]33.252[/C][C]3.74802[/C][/ROW]
[ROW][C]256[/C][C]34[/C][C]33.4996[/C][C]0.500421[/C][/ROW]
[ROW][C]257[/C][C]35[/C][C]35.454[/C][C]-0.453975[/C][/ROW]
[ROW][C]258[/C][C]31[/C][C]32.8499[/C][C]-1.84985[/C][/ROW]
[ROW][C]259[/C][C]37[/C][C]34.0082[/C][C]2.99182[/C][/ROW]
[ROW][C]260[/C][C]35[/C][C]31.1374[/C][C]3.86257[/C][/ROW]
[ROW][C]261[/C][C]27[/C][C]32.4298[/C][C]-5.42977[/C][/ROW]
[ROW][C]262[/C][C]34[/C][C]35.4334[/C][C]-1.43344[/C][/ROW]
[ROW][C]263[/C][C]40[/C][C]34.0279[/C][C]5.97209[/C][/ROW]
[ROW][C]264[/C][C]29[/C][C]33.3891[/C][C]-4.38911[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253733&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253733&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
14135.35975.64033
23934.14184.85821
33034.8918-4.8918
43133.8412-2.84117
53435.6543-1.65435
63532.30822.69176
73933.2175.78298
83435.264-1.26401
93634.70251.29748
103736.32050.67951
113833.58644.41357
123634.4641.53598
133834.49213.5079
143936.02582.97422
153336.4103-3.4103
163233.5814-1.58143
173633.56512.43489
183837.36470.635341
193936.3852.61502
203233.4264-1.42643
213234.2336-2.23362
223132.8388-1.83883
233936.25922.7408
243736.20440.795634
253934.2434.75698
264133.48527.51485
273635.19910.800919
283335.4777-2.47769
293334.2152-1.21524
303433.46250.537451
313133.3036-2.30363
322732.6808-5.68084
333733.11833.8817
343436.0855-2.08545
353432.44231.55771
363233.4196-1.41964
372931.784-2.784
383633.76742.23259
392933.5255-4.52551
403533.95841.04161
413733.77243.22759
423433.92340.0765684
433833.86364.13644
443533.23271.76731
453831.61686.38315
463733.8233.17695
473836.23031.76966
483334.4763-1.47632
493636.5068-0.50676
503833.2624.738
513236.2781-4.2781
523232.3756-0.375626
533233.0001-1.00015
543435.8136-1.81363
553232.4436-0.443617
563734.96962.03035
573934.64594.35413
582934.4289-5.42892
593735.08551.91447
603534.3410.658993
613030.576-0.576019
623834.48253.51755
633434.7554-0.755404
643134.2187-3.21868
653432.85361.14637
663535.7454-0.745382
673634.77671.22327
683031.6102-1.61022
693936.35892.6411
703535.7808-0.780807
713834.46233.53765
723135.7201-4.72013
733437.1289-3.12886
743837.75930.240682
753431.5652.435
763932.98636.01367
773735.91291.08707
783433.04650.953541
792832.8623-4.86226
803730.95576.04429
813335.5468-2.54681
823535.8214-0.821426
833734.03562.96436
843234.4154-2.41539
853333.3215-0.32147
863836.58441.41556
873334.3948-1.39476
882933.1412-4.14115
893333.3017-0.301677
903135.0765-4.07646
913633.18072.81927
923537.6916-2.69164
933231.88340.116582
942932.3365-3.33654
953935.71743.28259
963734.64452.35547
973533.37951.62047
983734.86282.13718
993235.2557-3.25573
1003835.55992.44005
1013734.80132.19873
1023636.6786-0.678604
1033231.37190.62813
1043336.8958-3.89583
1054032.66797.33213
1063835.27642.72359
1074136.69564.3044
1083634.26581.73417
1094336.70276.29733
1103034.7945-4.79449
1113133.7594-2.75937
1123237.9561-5.95607
1133232.9073-0.907333
1143734.30022.69976
1153734.28332.71669
1163336.3692-3.36924
1173436.822-2.82202
1183334.4111-1.41111
1193835.69542.30456
1203334.8311-1.83108
1213131.4395-0.439548
1223836.60271.39731
1233736.28460.71544
1243633.04892.95107
1253133.9727-2.97273
1263934.09414.9059
1274437.09676.90332
1283335.847-2.84699
1293533.51981.48019
1303233.999-1.99901
1312832.2065-4.20652
1324036.09433.90571
1332732.0664-5.06638
1343736.01380.986213
1353232.531-0.531
1362828.2755-0.275464
1373434.5949-0.594911
1383033.6142-3.61422
1393533.90771.09232
1403134.1062-3.10618
1413234.3159-2.3159
1423036.1207-6.12066
1433035.2167-5.21668
1443129.86181.13821
1454032.87337.12672
1463231.89480.10523
1473634.40331.59668
1483233.0558-1.05578
1493532.88272.11732
1503836.32651.67349
1514235.64386.35624
1523436.4466-2.44655
1533536.7181-1.71808
1543833.86624.1338
1553332.42550.574472
1563633.18072.81927
1573235.474-3.47405
1583335.847-2.84699
1593433.78820.211806
1603235.8379-3.83789
1613434.8867-0.886674
1622730.155-3.155
1633130.68150.31855
1643834.44863.55142
1653436.2647-2.26468
1662431.3514-7.35144
1673033.8725-3.87255
1682629.6488-3.64879
1693435.5747-1.57474
1702735.4134-8.41336
1713732.22784.77224
1723635.91650.0834823
1734134.10496.89509
1742929.302-0.302031
1753631.37144.6286
1763234.8248-2.82477
1773733.10313.89686
1783031.9988-1.99878
1793132.9623-1.96228
1803835.08522.91483
1813634.96431.03571
1823531.99343.00664
1833135.7093-4.70926
1843833.59124.40884
1852231.1053-9.10535
1863235.3363-3.33632
1873634.68691.31311
1883933.10135.89871
1892830.8174-2.81741
1903234.3822-2.38223
1913234.1093-2.10933
1923837.13920.860849
1933233.7609-1.7609
1943535.3773-0.377264
1953233.2733-1.27331
1963735.8611.13897
1973433.39980.600159
1983336.0716-3.0716
1993333.1744-0.174407
2002633.6083-7.60827
2013032.2725-2.27249
2022432.491-8.49103
2033432.77881.2212
2043432.52981.47016
2053334.5286-1.52865
2063435.3302-1.33019
2073536.0687-1.06873
2083535.0732-0.073235
2093633.21462.78545
2103434.3346-0.334551
2113432.87091.1291
2124138.60852.39146
2133236.6064-4.60636
2143033.4227-3.42273
2153534.56690.433118
2162830.2243-2.22434
2173335.5717-2.57173
2183934.44894.55106
2193633.91322.0868
2203636.7662-0.766182
2213533.4171.583
2223834.96493.03506
2233333.1296-0.129552
2243133.1582-2.15823
2253433.92020.0798042
2263234.6052-2.60517
2273133.3597-2.35969
2283333.9309-0.930933
2293432.79721.20284
2303434.1298-0.12975
2313432.4551.54496
2323334.8871-1.88712
2333234.4726-2.47264
2344134.1746.82603
2353433.34810.651912
2363632.19083.80919
2373731.03165.96843
2383630.4165.58402
2392932.8453-3.84529
2403731.75485.24523
2412733.2966-6.29659
2423533.48461.51536
2432830.822-2.82204
2443533.51521.4848
2453733.3453.65503
2462934.1472-5.14719
2473234.5444-2.54435
2483632.20913.79088
2491927.6891-8.68914
2502127.3029-6.30293
2513133.9145-2.91446
2523332.90040.0996309
2533633.97582.02421
2543333.62-0.619981
2553733.2523.74802
2563433.49960.500421
2573535.454-0.453975
2583132.8499-1.84985
2593734.00822.99182
2603531.13743.86257
2612732.4298-5.42977
2623435.4334-1.43344
2634034.02795.97209
2642933.3891-4.38911






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.4053870.8107750.594613
100.2442690.4885390.755731
110.1612020.3224030.838798
120.6652090.6695810.334791
130.7322350.535530.267765
140.6464150.707170.353585
150.5788010.8423980.421199
160.6406780.7186440.359322
170.5639110.8721790.436089
180.5074560.9850880.492544
190.4470540.8941090.552946
200.4812210.9624420.518779
210.5320730.9358540.467927
220.4779090.9558180.522091
230.4261220.8522440.573878
240.3580440.7160880.641956
250.4023380.8046760.597662
260.641070.717860.35893
270.5809770.8380450.419023
280.5509510.8980980.449049
290.5168870.9662250.483113
300.4592470.9184950.540753
310.4525210.9050420.547479
320.5961650.807670.403835
330.5907770.8184460.409223
340.5614140.8771730.438586
350.5111710.9776580.488829
360.4588310.9176620.541169
370.4181060.8362120.581894
380.3879670.7759340.612033
390.4945020.9890050.505498
400.442740.885480.55726
410.4163540.8327080.583646
420.3663270.7326540.633673
430.3380990.6761970.661901
440.300650.60130.69935
450.3711420.7422840.628858
460.3969220.7938450.603078
470.3688020.7376040.631198
480.3390190.6780380.660981
490.296920.593840.70308
500.3189910.6379810.681009
510.3500430.7000860.649957
520.3178160.6356330.682184
530.2831230.5662460.716877
540.2573720.5147440.742628
550.2216770.4433530.778323
560.2009460.4018920.799054
570.2111590.4223170.788841
580.3001140.6002270.699886
590.2733530.5467060.726647
600.2386030.4772060.761397
610.2147030.4294050.785297
620.2080210.4160430.791979
630.182030.3640610.81797
640.1808060.3616130.819194
650.1552420.3104840.844758
660.1336110.2672220.866389
670.1129690.2259380.887031
680.1198820.2397640.880118
690.1206030.2412070.879397
700.1027670.2055340.897233
710.1084970.2169930.891503
720.1299820.2599650.870018
730.1292780.2585570.870722
740.1092560.2185120.890744
750.09506530.1901310.904935
760.1196270.2392550.880373
770.1024820.2049640.897518
780.0864990.1729980.913501
790.1143840.2287670.885616
800.1440520.2881030.855948
810.1366640.2733290.863336
820.1173380.2346770.882662
830.1109190.2218380.889081
840.1054120.2108230.894588
850.09184670.1836930.908153
860.08096850.1619370.919032
870.07124470.1424890.928755
880.08645510.172910.913545
890.07258560.1451710.927414
900.07829560.1565910.921704
910.07260360.1452070.927396
920.06549380.1309880.934506
930.05547880.1109580.944521
940.0572460.1144920.942754
950.05649030.1129810.94351
960.05139790.1027960.948602
970.04372830.08745660.956272
980.03856160.07712310.961438
990.03795810.07591620.962042
1000.03511940.07023880.964881
1010.03104140.06208280.968959
1020.02584740.05169480.974153
1030.02125440.04250880.978746
1040.02247470.04494950.977525
1050.0506250.101250.949375
1060.04754020.09508040.95246
1070.05721620.1144320.942784
1080.0498110.0996220.950189
1090.0819340.1638680.918066
1100.09806030.1961210.90194
1110.0941990.1883980.905801
1120.1260490.2520980.873951
1130.1133270.2266550.886673
1140.1091660.2183330.890834
1150.1043290.2086580.895671
1160.1018880.2037760.898112
1170.09676680.1935340.903233
1180.08434890.1686980.915651
1190.07906240.1581250.920938
1200.06999120.1399820.930009
1210.06097580.1219520.939024
1220.05506330.1101270.944937
1230.0466490.09329810.953351
1240.04500210.09000430.954998
1250.04269430.08538860.957306
1260.05322630.1064530.946774
1270.09788440.1957690.902116
1280.09442850.1888570.905571
1290.08323690.1664740.916763
1300.07668780.1533760.923312
1310.08480870.1696170.915191
1320.09116140.1823230.908839
1330.112150.22430.88785
1340.09848840.1969770.901512
1350.08493550.1698710.915064
1360.0745160.1490320.925484
1370.06328570.1265710.936714
1380.06565620.1313120.934344
1390.05601810.1120360.943982
1400.05467130.1093430.945329
1410.05216780.1043360.947832
1420.07677630.1535530.923224
1430.09254260.1850850.907457
1440.08566980.171340.91433
1450.1506750.301350.849325
1460.1386710.2773430.861329
1470.1242770.2485550.875723
1480.1088430.2176870.891157
1490.09935480.198710.900645
1500.08763610.1752720.912364
1510.1359710.2719420.864029
1520.1264520.2529040.873548
1530.1139170.2278350.886083
1540.1238420.2476830.876158
1550.1066590.2133180.893341
1560.1068320.2136640.893168
1570.1097070.2194140.890293
1580.1030750.2061490.896925
1590.09042610.1808520.909574
1600.09750010.1950.9025
1610.0839880.1679760.916012
1620.080870.161740.91913
1630.07015020.14030.92985
1640.08130230.1626050.918698
1650.07422550.1484510.925774
1660.1429330.2858670.857067
1670.1435780.2871560.856422
1680.1394530.2789060.860547
1690.1257070.2514140.874293
1700.2482630.4965250.751737
1710.2806570.5613140.719343
1720.2509020.5018050.749098
1730.3468780.6937560.653122
1740.3131320.6262630.686868
1750.3682170.7364340.631783
1760.3516140.7032280.648386
1770.3603160.7206310.639684
1780.3340250.668050.665975
1790.3068310.6136610.693169
1800.292670.5853390.70733
1810.2652030.5304050.734797
1820.2634350.526870.736565
1830.2743670.5487350.725633
1840.3245910.6491820.675409
1850.5880060.8239870.411994
1860.5801690.8396620.419831
1870.5663170.8673670.433683
1880.6805820.6388360.319418
1890.6645380.6709240.335462
1900.6511430.6977130.348857
1910.6476880.7046250.352312
1920.6118120.7763760.388188
1930.5789320.8421370.421068
1940.5386260.9227480.461374
1950.5005810.9988380.499419
1960.4627630.9255260.537237
1970.458130.9162590.54187
1980.4373560.8747120.562644
1990.3970290.7940580.602971
2000.5188050.962390.481195
2010.4850920.9701830.514908
2020.6700450.659910.329955
2030.6344910.7310180.365509
2040.5961110.8077780.403889
2050.5565010.8869980.443499
2060.5179140.9641710.482086
2070.4749140.9498270.525086
2080.4308680.8617360.569132
2090.4042580.8085160.595742
2100.3646350.7292710.635365
2110.3258170.6516340.674183
2120.2955040.5910080.704496
2130.3432730.6865450.656727
2140.3210270.6420540.678973
2150.2805750.5611510.719425
2160.2469520.4939030.753048
2170.2206120.4412250.779388
2180.2523240.5046480.747676
2190.2257510.4515030.774249
2200.1983550.3967090.801645
2210.1682210.3364420.831779
2220.1585140.3170280.841486
2230.1301270.2602550.869873
2240.1132830.2265660.886717
2250.09111420.1822280.908886
2260.1002630.2005250.899737
2270.08790420.1758080.912096
2280.06942190.1388440.930578
2290.05399410.1079880.946006
2300.04172930.08345860.958271
2310.03889390.07778770.961106
2320.05641240.1128250.943588
2330.04408220.08816440.955918
2340.1416210.2832430.858379
2350.114520.2290410.88548
2360.1077770.2155540.892223
2370.09960390.1992080.900396
2380.225090.4501810.77491
2390.1870070.3740140.812993
2400.2752970.5505930.724703
2410.3747810.7495630.625219
2420.3101360.6202720.689864
2430.2612710.5225430.738729
2440.2180970.4361940.781903
2450.450890.9017810.54911
2460.7073620.5852750.292638
2470.6817420.6365160.318258
2480.6504080.6991830.349592
2490.6834390.6331210.316561
2500.6107920.7784170.389208
2510.6069410.7861190.393059
2520.4909220.9818440.509078
2530.372520.745040.62748
2540.3502230.7004460.649777
2550.3073950.6147910.692605

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.405387 & 0.810775 & 0.594613 \tabularnewline
10 & 0.244269 & 0.488539 & 0.755731 \tabularnewline
11 & 0.161202 & 0.322403 & 0.838798 \tabularnewline
12 & 0.665209 & 0.669581 & 0.334791 \tabularnewline
13 & 0.732235 & 0.53553 & 0.267765 \tabularnewline
14 & 0.646415 & 0.70717 & 0.353585 \tabularnewline
15 & 0.578801 & 0.842398 & 0.421199 \tabularnewline
16 & 0.640678 & 0.718644 & 0.359322 \tabularnewline
17 & 0.563911 & 0.872179 & 0.436089 \tabularnewline
18 & 0.507456 & 0.985088 & 0.492544 \tabularnewline
19 & 0.447054 & 0.894109 & 0.552946 \tabularnewline
20 & 0.481221 & 0.962442 & 0.518779 \tabularnewline
21 & 0.532073 & 0.935854 & 0.467927 \tabularnewline
22 & 0.477909 & 0.955818 & 0.522091 \tabularnewline
23 & 0.426122 & 0.852244 & 0.573878 \tabularnewline
24 & 0.358044 & 0.716088 & 0.641956 \tabularnewline
25 & 0.402338 & 0.804676 & 0.597662 \tabularnewline
26 & 0.64107 & 0.71786 & 0.35893 \tabularnewline
27 & 0.580977 & 0.838045 & 0.419023 \tabularnewline
28 & 0.550951 & 0.898098 & 0.449049 \tabularnewline
29 & 0.516887 & 0.966225 & 0.483113 \tabularnewline
30 & 0.459247 & 0.918495 & 0.540753 \tabularnewline
31 & 0.452521 & 0.905042 & 0.547479 \tabularnewline
32 & 0.596165 & 0.80767 & 0.403835 \tabularnewline
33 & 0.590777 & 0.818446 & 0.409223 \tabularnewline
34 & 0.561414 & 0.877173 & 0.438586 \tabularnewline
35 & 0.511171 & 0.977658 & 0.488829 \tabularnewline
36 & 0.458831 & 0.917662 & 0.541169 \tabularnewline
37 & 0.418106 & 0.836212 & 0.581894 \tabularnewline
38 & 0.387967 & 0.775934 & 0.612033 \tabularnewline
39 & 0.494502 & 0.989005 & 0.505498 \tabularnewline
40 & 0.44274 & 0.88548 & 0.55726 \tabularnewline
41 & 0.416354 & 0.832708 & 0.583646 \tabularnewline
42 & 0.366327 & 0.732654 & 0.633673 \tabularnewline
43 & 0.338099 & 0.676197 & 0.661901 \tabularnewline
44 & 0.30065 & 0.6013 & 0.69935 \tabularnewline
45 & 0.371142 & 0.742284 & 0.628858 \tabularnewline
46 & 0.396922 & 0.793845 & 0.603078 \tabularnewline
47 & 0.368802 & 0.737604 & 0.631198 \tabularnewline
48 & 0.339019 & 0.678038 & 0.660981 \tabularnewline
49 & 0.29692 & 0.59384 & 0.70308 \tabularnewline
50 & 0.318991 & 0.637981 & 0.681009 \tabularnewline
51 & 0.350043 & 0.700086 & 0.649957 \tabularnewline
52 & 0.317816 & 0.635633 & 0.682184 \tabularnewline
53 & 0.283123 & 0.566246 & 0.716877 \tabularnewline
54 & 0.257372 & 0.514744 & 0.742628 \tabularnewline
55 & 0.221677 & 0.443353 & 0.778323 \tabularnewline
56 & 0.200946 & 0.401892 & 0.799054 \tabularnewline
57 & 0.211159 & 0.422317 & 0.788841 \tabularnewline
58 & 0.300114 & 0.600227 & 0.699886 \tabularnewline
59 & 0.273353 & 0.546706 & 0.726647 \tabularnewline
60 & 0.238603 & 0.477206 & 0.761397 \tabularnewline
61 & 0.214703 & 0.429405 & 0.785297 \tabularnewline
62 & 0.208021 & 0.416043 & 0.791979 \tabularnewline
63 & 0.18203 & 0.364061 & 0.81797 \tabularnewline
64 & 0.180806 & 0.361613 & 0.819194 \tabularnewline
65 & 0.155242 & 0.310484 & 0.844758 \tabularnewline
66 & 0.133611 & 0.267222 & 0.866389 \tabularnewline
67 & 0.112969 & 0.225938 & 0.887031 \tabularnewline
68 & 0.119882 & 0.239764 & 0.880118 \tabularnewline
69 & 0.120603 & 0.241207 & 0.879397 \tabularnewline
70 & 0.102767 & 0.205534 & 0.897233 \tabularnewline
71 & 0.108497 & 0.216993 & 0.891503 \tabularnewline
72 & 0.129982 & 0.259965 & 0.870018 \tabularnewline
73 & 0.129278 & 0.258557 & 0.870722 \tabularnewline
74 & 0.109256 & 0.218512 & 0.890744 \tabularnewline
75 & 0.0950653 & 0.190131 & 0.904935 \tabularnewline
76 & 0.119627 & 0.239255 & 0.880373 \tabularnewline
77 & 0.102482 & 0.204964 & 0.897518 \tabularnewline
78 & 0.086499 & 0.172998 & 0.913501 \tabularnewline
79 & 0.114384 & 0.228767 & 0.885616 \tabularnewline
80 & 0.144052 & 0.288103 & 0.855948 \tabularnewline
81 & 0.136664 & 0.273329 & 0.863336 \tabularnewline
82 & 0.117338 & 0.234677 & 0.882662 \tabularnewline
83 & 0.110919 & 0.221838 & 0.889081 \tabularnewline
84 & 0.105412 & 0.210823 & 0.894588 \tabularnewline
85 & 0.0918467 & 0.183693 & 0.908153 \tabularnewline
86 & 0.0809685 & 0.161937 & 0.919032 \tabularnewline
87 & 0.0712447 & 0.142489 & 0.928755 \tabularnewline
88 & 0.0864551 & 0.17291 & 0.913545 \tabularnewline
89 & 0.0725856 & 0.145171 & 0.927414 \tabularnewline
90 & 0.0782956 & 0.156591 & 0.921704 \tabularnewline
91 & 0.0726036 & 0.145207 & 0.927396 \tabularnewline
92 & 0.0654938 & 0.130988 & 0.934506 \tabularnewline
93 & 0.0554788 & 0.110958 & 0.944521 \tabularnewline
94 & 0.057246 & 0.114492 & 0.942754 \tabularnewline
95 & 0.0564903 & 0.112981 & 0.94351 \tabularnewline
96 & 0.0513979 & 0.102796 & 0.948602 \tabularnewline
97 & 0.0437283 & 0.0874566 & 0.956272 \tabularnewline
98 & 0.0385616 & 0.0771231 & 0.961438 \tabularnewline
99 & 0.0379581 & 0.0759162 & 0.962042 \tabularnewline
100 & 0.0351194 & 0.0702388 & 0.964881 \tabularnewline
101 & 0.0310414 & 0.0620828 & 0.968959 \tabularnewline
102 & 0.0258474 & 0.0516948 & 0.974153 \tabularnewline
103 & 0.0212544 & 0.0425088 & 0.978746 \tabularnewline
104 & 0.0224747 & 0.0449495 & 0.977525 \tabularnewline
105 & 0.050625 & 0.10125 & 0.949375 \tabularnewline
106 & 0.0475402 & 0.0950804 & 0.95246 \tabularnewline
107 & 0.0572162 & 0.114432 & 0.942784 \tabularnewline
108 & 0.049811 & 0.099622 & 0.950189 \tabularnewline
109 & 0.081934 & 0.163868 & 0.918066 \tabularnewline
110 & 0.0980603 & 0.196121 & 0.90194 \tabularnewline
111 & 0.094199 & 0.188398 & 0.905801 \tabularnewline
112 & 0.126049 & 0.252098 & 0.873951 \tabularnewline
113 & 0.113327 & 0.226655 & 0.886673 \tabularnewline
114 & 0.109166 & 0.218333 & 0.890834 \tabularnewline
115 & 0.104329 & 0.208658 & 0.895671 \tabularnewline
116 & 0.101888 & 0.203776 & 0.898112 \tabularnewline
117 & 0.0967668 & 0.193534 & 0.903233 \tabularnewline
118 & 0.0843489 & 0.168698 & 0.915651 \tabularnewline
119 & 0.0790624 & 0.158125 & 0.920938 \tabularnewline
120 & 0.0699912 & 0.139982 & 0.930009 \tabularnewline
121 & 0.0609758 & 0.121952 & 0.939024 \tabularnewline
122 & 0.0550633 & 0.110127 & 0.944937 \tabularnewline
123 & 0.046649 & 0.0932981 & 0.953351 \tabularnewline
124 & 0.0450021 & 0.0900043 & 0.954998 \tabularnewline
125 & 0.0426943 & 0.0853886 & 0.957306 \tabularnewline
126 & 0.0532263 & 0.106453 & 0.946774 \tabularnewline
127 & 0.0978844 & 0.195769 & 0.902116 \tabularnewline
128 & 0.0944285 & 0.188857 & 0.905571 \tabularnewline
129 & 0.0832369 & 0.166474 & 0.916763 \tabularnewline
130 & 0.0766878 & 0.153376 & 0.923312 \tabularnewline
131 & 0.0848087 & 0.169617 & 0.915191 \tabularnewline
132 & 0.0911614 & 0.182323 & 0.908839 \tabularnewline
133 & 0.11215 & 0.2243 & 0.88785 \tabularnewline
134 & 0.0984884 & 0.196977 & 0.901512 \tabularnewline
135 & 0.0849355 & 0.169871 & 0.915064 \tabularnewline
136 & 0.074516 & 0.149032 & 0.925484 \tabularnewline
137 & 0.0632857 & 0.126571 & 0.936714 \tabularnewline
138 & 0.0656562 & 0.131312 & 0.934344 \tabularnewline
139 & 0.0560181 & 0.112036 & 0.943982 \tabularnewline
140 & 0.0546713 & 0.109343 & 0.945329 \tabularnewline
141 & 0.0521678 & 0.104336 & 0.947832 \tabularnewline
142 & 0.0767763 & 0.153553 & 0.923224 \tabularnewline
143 & 0.0925426 & 0.185085 & 0.907457 \tabularnewline
144 & 0.0856698 & 0.17134 & 0.91433 \tabularnewline
145 & 0.150675 & 0.30135 & 0.849325 \tabularnewline
146 & 0.138671 & 0.277343 & 0.861329 \tabularnewline
147 & 0.124277 & 0.248555 & 0.875723 \tabularnewline
148 & 0.108843 & 0.217687 & 0.891157 \tabularnewline
149 & 0.0993548 & 0.19871 & 0.900645 \tabularnewline
150 & 0.0876361 & 0.175272 & 0.912364 \tabularnewline
151 & 0.135971 & 0.271942 & 0.864029 \tabularnewline
152 & 0.126452 & 0.252904 & 0.873548 \tabularnewline
153 & 0.113917 & 0.227835 & 0.886083 \tabularnewline
154 & 0.123842 & 0.247683 & 0.876158 \tabularnewline
155 & 0.106659 & 0.213318 & 0.893341 \tabularnewline
156 & 0.106832 & 0.213664 & 0.893168 \tabularnewline
157 & 0.109707 & 0.219414 & 0.890293 \tabularnewline
158 & 0.103075 & 0.206149 & 0.896925 \tabularnewline
159 & 0.0904261 & 0.180852 & 0.909574 \tabularnewline
160 & 0.0975001 & 0.195 & 0.9025 \tabularnewline
161 & 0.083988 & 0.167976 & 0.916012 \tabularnewline
162 & 0.08087 & 0.16174 & 0.91913 \tabularnewline
163 & 0.0701502 & 0.1403 & 0.92985 \tabularnewline
164 & 0.0813023 & 0.162605 & 0.918698 \tabularnewline
165 & 0.0742255 & 0.148451 & 0.925774 \tabularnewline
166 & 0.142933 & 0.285867 & 0.857067 \tabularnewline
167 & 0.143578 & 0.287156 & 0.856422 \tabularnewline
168 & 0.139453 & 0.278906 & 0.860547 \tabularnewline
169 & 0.125707 & 0.251414 & 0.874293 \tabularnewline
170 & 0.248263 & 0.496525 & 0.751737 \tabularnewline
171 & 0.280657 & 0.561314 & 0.719343 \tabularnewline
172 & 0.250902 & 0.501805 & 0.749098 \tabularnewline
173 & 0.346878 & 0.693756 & 0.653122 \tabularnewline
174 & 0.313132 & 0.626263 & 0.686868 \tabularnewline
175 & 0.368217 & 0.736434 & 0.631783 \tabularnewline
176 & 0.351614 & 0.703228 & 0.648386 \tabularnewline
177 & 0.360316 & 0.720631 & 0.639684 \tabularnewline
178 & 0.334025 & 0.66805 & 0.665975 \tabularnewline
179 & 0.306831 & 0.613661 & 0.693169 \tabularnewline
180 & 0.29267 & 0.585339 & 0.70733 \tabularnewline
181 & 0.265203 & 0.530405 & 0.734797 \tabularnewline
182 & 0.263435 & 0.52687 & 0.736565 \tabularnewline
183 & 0.274367 & 0.548735 & 0.725633 \tabularnewline
184 & 0.324591 & 0.649182 & 0.675409 \tabularnewline
185 & 0.588006 & 0.823987 & 0.411994 \tabularnewline
186 & 0.580169 & 0.839662 & 0.419831 \tabularnewline
187 & 0.566317 & 0.867367 & 0.433683 \tabularnewline
188 & 0.680582 & 0.638836 & 0.319418 \tabularnewline
189 & 0.664538 & 0.670924 & 0.335462 \tabularnewline
190 & 0.651143 & 0.697713 & 0.348857 \tabularnewline
191 & 0.647688 & 0.704625 & 0.352312 \tabularnewline
192 & 0.611812 & 0.776376 & 0.388188 \tabularnewline
193 & 0.578932 & 0.842137 & 0.421068 \tabularnewline
194 & 0.538626 & 0.922748 & 0.461374 \tabularnewline
195 & 0.500581 & 0.998838 & 0.499419 \tabularnewline
196 & 0.462763 & 0.925526 & 0.537237 \tabularnewline
197 & 0.45813 & 0.916259 & 0.54187 \tabularnewline
198 & 0.437356 & 0.874712 & 0.562644 \tabularnewline
199 & 0.397029 & 0.794058 & 0.602971 \tabularnewline
200 & 0.518805 & 0.96239 & 0.481195 \tabularnewline
201 & 0.485092 & 0.970183 & 0.514908 \tabularnewline
202 & 0.670045 & 0.65991 & 0.329955 \tabularnewline
203 & 0.634491 & 0.731018 & 0.365509 \tabularnewline
204 & 0.596111 & 0.807778 & 0.403889 \tabularnewline
205 & 0.556501 & 0.886998 & 0.443499 \tabularnewline
206 & 0.517914 & 0.964171 & 0.482086 \tabularnewline
207 & 0.474914 & 0.949827 & 0.525086 \tabularnewline
208 & 0.430868 & 0.861736 & 0.569132 \tabularnewline
209 & 0.404258 & 0.808516 & 0.595742 \tabularnewline
210 & 0.364635 & 0.729271 & 0.635365 \tabularnewline
211 & 0.325817 & 0.651634 & 0.674183 \tabularnewline
212 & 0.295504 & 0.591008 & 0.704496 \tabularnewline
213 & 0.343273 & 0.686545 & 0.656727 \tabularnewline
214 & 0.321027 & 0.642054 & 0.678973 \tabularnewline
215 & 0.280575 & 0.561151 & 0.719425 \tabularnewline
216 & 0.246952 & 0.493903 & 0.753048 \tabularnewline
217 & 0.220612 & 0.441225 & 0.779388 \tabularnewline
218 & 0.252324 & 0.504648 & 0.747676 \tabularnewline
219 & 0.225751 & 0.451503 & 0.774249 \tabularnewline
220 & 0.198355 & 0.396709 & 0.801645 \tabularnewline
221 & 0.168221 & 0.336442 & 0.831779 \tabularnewline
222 & 0.158514 & 0.317028 & 0.841486 \tabularnewline
223 & 0.130127 & 0.260255 & 0.869873 \tabularnewline
224 & 0.113283 & 0.226566 & 0.886717 \tabularnewline
225 & 0.0911142 & 0.182228 & 0.908886 \tabularnewline
226 & 0.100263 & 0.200525 & 0.899737 \tabularnewline
227 & 0.0879042 & 0.175808 & 0.912096 \tabularnewline
228 & 0.0694219 & 0.138844 & 0.930578 \tabularnewline
229 & 0.0539941 & 0.107988 & 0.946006 \tabularnewline
230 & 0.0417293 & 0.0834586 & 0.958271 \tabularnewline
231 & 0.0388939 & 0.0777877 & 0.961106 \tabularnewline
232 & 0.0564124 & 0.112825 & 0.943588 \tabularnewline
233 & 0.0440822 & 0.0881644 & 0.955918 \tabularnewline
234 & 0.141621 & 0.283243 & 0.858379 \tabularnewline
235 & 0.11452 & 0.229041 & 0.88548 \tabularnewline
236 & 0.107777 & 0.215554 & 0.892223 \tabularnewline
237 & 0.0996039 & 0.199208 & 0.900396 \tabularnewline
238 & 0.22509 & 0.450181 & 0.77491 \tabularnewline
239 & 0.187007 & 0.374014 & 0.812993 \tabularnewline
240 & 0.275297 & 0.550593 & 0.724703 \tabularnewline
241 & 0.374781 & 0.749563 & 0.625219 \tabularnewline
242 & 0.310136 & 0.620272 & 0.689864 \tabularnewline
243 & 0.261271 & 0.522543 & 0.738729 \tabularnewline
244 & 0.218097 & 0.436194 & 0.781903 \tabularnewline
245 & 0.45089 & 0.901781 & 0.54911 \tabularnewline
246 & 0.707362 & 0.585275 & 0.292638 \tabularnewline
247 & 0.681742 & 0.636516 & 0.318258 \tabularnewline
248 & 0.650408 & 0.699183 & 0.349592 \tabularnewline
249 & 0.683439 & 0.633121 & 0.316561 \tabularnewline
250 & 0.610792 & 0.778417 & 0.389208 \tabularnewline
251 & 0.606941 & 0.786119 & 0.393059 \tabularnewline
252 & 0.490922 & 0.981844 & 0.509078 \tabularnewline
253 & 0.37252 & 0.74504 & 0.62748 \tabularnewline
254 & 0.350223 & 0.700446 & 0.649777 \tabularnewline
255 & 0.307395 & 0.614791 & 0.692605 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253733&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]0.405387[/C][C]0.810775[/C][C]0.594613[/C][/ROW]
[ROW][C]10[/C][C]0.244269[/C][C]0.488539[/C][C]0.755731[/C][/ROW]
[ROW][C]11[/C][C]0.161202[/C][C]0.322403[/C][C]0.838798[/C][/ROW]
[ROW][C]12[/C][C]0.665209[/C][C]0.669581[/C][C]0.334791[/C][/ROW]
[ROW][C]13[/C][C]0.732235[/C][C]0.53553[/C][C]0.267765[/C][/ROW]
[ROW][C]14[/C][C]0.646415[/C][C]0.70717[/C][C]0.353585[/C][/ROW]
[ROW][C]15[/C][C]0.578801[/C][C]0.842398[/C][C]0.421199[/C][/ROW]
[ROW][C]16[/C][C]0.640678[/C][C]0.718644[/C][C]0.359322[/C][/ROW]
[ROW][C]17[/C][C]0.563911[/C][C]0.872179[/C][C]0.436089[/C][/ROW]
[ROW][C]18[/C][C]0.507456[/C][C]0.985088[/C][C]0.492544[/C][/ROW]
[ROW][C]19[/C][C]0.447054[/C][C]0.894109[/C][C]0.552946[/C][/ROW]
[ROW][C]20[/C][C]0.481221[/C][C]0.962442[/C][C]0.518779[/C][/ROW]
[ROW][C]21[/C][C]0.532073[/C][C]0.935854[/C][C]0.467927[/C][/ROW]
[ROW][C]22[/C][C]0.477909[/C][C]0.955818[/C][C]0.522091[/C][/ROW]
[ROW][C]23[/C][C]0.426122[/C][C]0.852244[/C][C]0.573878[/C][/ROW]
[ROW][C]24[/C][C]0.358044[/C][C]0.716088[/C][C]0.641956[/C][/ROW]
[ROW][C]25[/C][C]0.402338[/C][C]0.804676[/C][C]0.597662[/C][/ROW]
[ROW][C]26[/C][C]0.64107[/C][C]0.71786[/C][C]0.35893[/C][/ROW]
[ROW][C]27[/C][C]0.580977[/C][C]0.838045[/C][C]0.419023[/C][/ROW]
[ROW][C]28[/C][C]0.550951[/C][C]0.898098[/C][C]0.449049[/C][/ROW]
[ROW][C]29[/C][C]0.516887[/C][C]0.966225[/C][C]0.483113[/C][/ROW]
[ROW][C]30[/C][C]0.459247[/C][C]0.918495[/C][C]0.540753[/C][/ROW]
[ROW][C]31[/C][C]0.452521[/C][C]0.905042[/C][C]0.547479[/C][/ROW]
[ROW][C]32[/C][C]0.596165[/C][C]0.80767[/C][C]0.403835[/C][/ROW]
[ROW][C]33[/C][C]0.590777[/C][C]0.818446[/C][C]0.409223[/C][/ROW]
[ROW][C]34[/C][C]0.561414[/C][C]0.877173[/C][C]0.438586[/C][/ROW]
[ROW][C]35[/C][C]0.511171[/C][C]0.977658[/C][C]0.488829[/C][/ROW]
[ROW][C]36[/C][C]0.458831[/C][C]0.917662[/C][C]0.541169[/C][/ROW]
[ROW][C]37[/C][C]0.418106[/C][C]0.836212[/C][C]0.581894[/C][/ROW]
[ROW][C]38[/C][C]0.387967[/C][C]0.775934[/C][C]0.612033[/C][/ROW]
[ROW][C]39[/C][C]0.494502[/C][C]0.989005[/C][C]0.505498[/C][/ROW]
[ROW][C]40[/C][C]0.44274[/C][C]0.88548[/C][C]0.55726[/C][/ROW]
[ROW][C]41[/C][C]0.416354[/C][C]0.832708[/C][C]0.583646[/C][/ROW]
[ROW][C]42[/C][C]0.366327[/C][C]0.732654[/C][C]0.633673[/C][/ROW]
[ROW][C]43[/C][C]0.338099[/C][C]0.676197[/C][C]0.661901[/C][/ROW]
[ROW][C]44[/C][C]0.30065[/C][C]0.6013[/C][C]0.69935[/C][/ROW]
[ROW][C]45[/C][C]0.371142[/C][C]0.742284[/C][C]0.628858[/C][/ROW]
[ROW][C]46[/C][C]0.396922[/C][C]0.793845[/C][C]0.603078[/C][/ROW]
[ROW][C]47[/C][C]0.368802[/C][C]0.737604[/C][C]0.631198[/C][/ROW]
[ROW][C]48[/C][C]0.339019[/C][C]0.678038[/C][C]0.660981[/C][/ROW]
[ROW][C]49[/C][C]0.29692[/C][C]0.59384[/C][C]0.70308[/C][/ROW]
[ROW][C]50[/C][C]0.318991[/C][C]0.637981[/C][C]0.681009[/C][/ROW]
[ROW][C]51[/C][C]0.350043[/C][C]0.700086[/C][C]0.649957[/C][/ROW]
[ROW][C]52[/C][C]0.317816[/C][C]0.635633[/C][C]0.682184[/C][/ROW]
[ROW][C]53[/C][C]0.283123[/C][C]0.566246[/C][C]0.716877[/C][/ROW]
[ROW][C]54[/C][C]0.257372[/C][C]0.514744[/C][C]0.742628[/C][/ROW]
[ROW][C]55[/C][C]0.221677[/C][C]0.443353[/C][C]0.778323[/C][/ROW]
[ROW][C]56[/C][C]0.200946[/C][C]0.401892[/C][C]0.799054[/C][/ROW]
[ROW][C]57[/C][C]0.211159[/C][C]0.422317[/C][C]0.788841[/C][/ROW]
[ROW][C]58[/C][C]0.300114[/C][C]0.600227[/C][C]0.699886[/C][/ROW]
[ROW][C]59[/C][C]0.273353[/C][C]0.546706[/C][C]0.726647[/C][/ROW]
[ROW][C]60[/C][C]0.238603[/C][C]0.477206[/C][C]0.761397[/C][/ROW]
[ROW][C]61[/C][C]0.214703[/C][C]0.429405[/C][C]0.785297[/C][/ROW]
[ROW][C]62[/C][C]0.208021[/C][C]0.416043[/C][C]0.791979[/C][/ROW]
[ROW][C]63[/C][C]0.18203[/C][C]0.364061[/C][C]0.81797[/C][/ROW]
[ROW][C]64[/C][C]0.180806[/C][C]0.361613[/C][C]0.819194[/C][/ROW]
[ROW][C]65[/C][C]0.155242[/C][C]0.310484[/C][C]0.844758[/C][/ROW]
[ROW][C]66[/C][C]0.133611[/C][C]0.267222[/C][C]0.866389[/C][/ROW]
[ROW][C]67[/C][C]0.112969[/C][C]0.225938[/C][C]0.887031[/C][/ROW]
[ROW][C]68[/C][C]0.119882[/C][C]0.239764[/C][C]0.880118[/C][/ROW]
[ROW][C]69[/C][C]0.120603[/C][C]0.241207[/C][C]0.879397[/C][/ROW]
[ROW][C]70[/C][C]0.102767[/C][C]0.205534[/C][C]0.897233[/C][/ROW]
[ROW][C]71[/C][C]0.108497[/C][C]0.216993[/C][C]0.891503[/C][/ROW]
[ROW][C]72[/C][C]0.129982[/C][C]0.259965[/C][C]0.870018[/C][/ROW]
[ROW][C]73[/C][C]0.129278[/C][C]0.258557[/C][C]0.870722[/C][/ROW]
[ROW][C]74[/C][C]0.109256[/C][C]0.218512[/C][C]0.890744[/C][/ROW]
[ROW][C]75[/C][C]0.0950653[/C][C]0.190131[/C][C]0.904935[/C][/ROW]
[ROW][C]76[/C][C]0.119627[/C][C]0.239255[/C][C]0.880373[/C][/ROW]
[ROW][C]77[/C][C]0.102482[/C][C]0.204964[/C][C]0.897518[/C][/ROW]
[ROW][C]78[/C][C]0.086499[/C][C]0.172998[/C][C]0.913501[/C][/ROW]
[ROW][C]79[/C][C]0.114384[/C][C]0.228767[/C][C]0.885616[/C][/ROW]
[ROW][C]80[/C][C]0.144052[/C][C]0.288103[/C][C]0.855948[/C][/ROW]
[ROW][C]81[/C][C]0.136664[/C][C]0.273329[/C][C]0.863336[/C][/ROW]
[ROW][C]82[/C][C]0.117338[/C][C]0.234677[/C][C]0.882662[/C][/ROW]
[ROW][C]83[/C][C]0.110919[/C][C]0.221838[/C][C]0.889081[/C][/ROW]
[ROW][C]84[/C][C]0.105412[/C][C]0.210823[/C][C]0.894588[/C][/ROW]
[ROW][C]85[/C][C]0.0918467[/C][C]0.183693[/C][C]0.908153[/C][/ROW]
[ROW][C]86[/C][C]0.0809685[/C][C]0.161937[/C][C]0.919032[/C][/ROW]
[ROW][C]87[/C][C]0.0712447[/C][C]0.142489[/C][C]0.928755[/C][/ROW]
[ROW][C]88[/C][C]0.0864551[/C][C]0.17291[/C][C]0.913545[/C][/ROW]
[ROW][C]89[/C][C]0.0725856[/C][C]0.145171[/C][C]0.927414[/C][/ROW]
[ROW][C]90[/C][C]0.0782956[/C][C]0.156591[/C][C]0.921704[/C][/ROW]
[ROW][C]91[/C][C]0.0726036[/C][C]0.145207[/C][C]0.927396[/C][/ROW]
[ROW][C]92[/C][C]0.0654938[/C][C]0.130988[/C][C]0.934506[/C][/ROW]
[ROW][C]93[/C][C]0.0554788[/C][C]0.110958[/C][C]0.944521[/C][/ROW]
[ROW][C]94[/C][C]0.057246[/C][C]0.114492[/C][C]0.942754[/C][/ROW]
[ROW][C]95[/C][C]0.0564903[/C][C]0.112981[/C][C]0.94351[/C][/ROW]
[ROW][C]96[/C][C]0.0513979[/C][C]0.102796[/C][C]0.948602[/C][/ROW]
[ROW][C]97[/C][C]0.0437283[/C][C]0.0874566[/C][C]0.956272[/C][/ROW]
[ROW][C]98[/C][C]0.0385616[/C][C]0.0771231[/C][C]0.961438[/C][/ROW]
[ROW][C]99[/C][C]0.0379581[/C][C]0.0759162[/C][C]0.962042[/C][/ROW]
[ROW][C]100[/C][C]0.0351194[/C][C]0.0702388[/C][C]0.964881[/C][/ROW]
[ROW][C]101[/C][C]0.0310414[/C][C]0.0620828[/C][C]0.968959[/C][/ROW]
[ROW][C]102[/C][C]0.0258474[/C][C]0.0516948[/C][C]0.974153[/C][/ROW]
[ROW][C]103[/C][C]0.0212544[/C][C]0.0425088[/C][C]0.978746[/C][/ROW]
[ROW][C]104[/C][C]0.0224747[/C][C]0.0449495[/C][C]0.977525[/C][/ROW]
[ROW][C]105[/C][C]0.050625[/C][C]0.10125[/C][C]0.949375[/C][/ROW]
[ROW][C]106[/C][C]0.0475402[/C][C]0.0950804[/C][C]0.95246[/C][/ROW]
[ROW][C]107[/C][C]0.0572162[/C][C]0.114432[/C][C]0.942784[/C][/ROW]
[ROW][C]108[/C][C]0.049811[/C][C]0.099622[/C][C]0.950189[/C][/ROW]
[ROW][C]109[/C][C]0.081934[/C][C]0.163868[/C][C]0.918066[/C][/ROW]
[ROW][C]110[/C][C]0.0980603[/C][C]0.196121[/C][C]0.90194[/C][/ROW]
[ROW][C]111[/C][C]0.094199[/C][C]0.188398[/C][C]0.905801[/C][/ROW]
[ROW][C]112[/C][C]0.126049[/C][C]0.252098[/C][C]0.873951[/C][/ROW]
[ROW][C]113[/C][C]0.113327[/C][C]0.226655[/C][C]0.886673[/C][/ROW]
[ROW][C]114[/C][C]0.109166[/C][C]0.218333[/C][C]0.890834[/C][/ROW]
[ROW][C]115[/C][C]0.104329[/C][C]0.208658[/C][C]0.895671[/C][/ROW]
[ROW][C]116[/C][C]0.101888[/C][C]0.203776[/C][C]0.898112[/C][/ROW]
[ROW][C]117[/C][C]0.0967668[/C][C]0.193534[/C][C]0.903233[/C][/ROW]
[ROW][C]118[/C][C]0.0843489[/C][C]0.168698[/C][C]0.915651[/C][/ROW]
[ROW][C]119[/C][C]0.0790624[/C][C]0.158125[/C][C]0.920938[/C][/ROW]
[ROW][C]120[/C][C]0.0699912[/C][C]0.139982[/C][C]0.930009[/C][/ROW]
[ROW][C]121[/C][C]0.0609758[/C][C]0.121952[/C][C]0.939024[/C][/ROW]
[ROW][C]122[/C][C]0.0550633[/C][C]0.110127[/C][C]0.944937[/C][/ROW]
[ROW][C]123[/C][C]0.046649[/C][C]0.0932981[/C][C]0.953351[/C][/ROW]
[ROW][C]124[/C][C]0.0450021[/C][C]0.0900043[/C][C]0.954998[/C][/ROW]
[ROW][C]125[/C][C]0.0426943[/C][C]0.0853886[/C][C]0.957306[/C][/ROW]
[ROW][C]126[/C][C]0.0532263[/C][C]0.106453[/C][C]0.946774[/C][/ROW]
[ROW][C]127[/C][C]0.0978844[/C][C]0.195769[/C][C]0.902116[/C][/ROW]
[ROW][C]128[/C][C]0.0944285[/C][C]0.188857[/C][C]0.905571[/C][/ROW]
[ROW][C]129[/C][C]0.0832369[/C][C]0.166474[/C][C]0.916763[/C][/ROW]
[ROW][C]130[/C][C]0.0766878[/C][C]0.153376[/C][C]0.923312[/C][/ROW]
[ROW][C]131[/C][C]0.0848087[/C][C]0.169617[/C][C]0.915191[/C][/ROW]
[ROW][C]132[/C][C]0.0911614[/C][C]0.182323[/C][C]0.908839[/C][/ROW]
[ROW][C]133[/C][C]0.11215[/C][C]0.2243[/C][C]0.88785[/C][/ROW]
[ROW][C]134[/C][C]0.0984884[/C][C]0.196977[/C][C]0.901512[/C][/ROW]
[ROW][C]135[/C][C]0.0849355[/C][C]0.169871[/C][C]0.915064[/C][/ROW]
[ROW][C]136[/C][C]0.074516[/C][C]0.149032[/C][C]0.925484[/C][/ROW]
[ROW][C]137[/C][C]0.0632857[/C][C]0.126571[/C][C]0.936714[/C][/ROW]
[ROW][C]138[/C][C]0.0656562[/C][C]0.131312[/C][C]0.934344[/C][/ROW]
[ROW][C]139[/C][C]0.0560181[/C][C]0.112036[/C][C]0.943982[/C][/ROW]
[ROW][C]140[/C][C]0.0546713[/C][C]0.109343[/C][C]0.945329[/C][/ROW]
[ROW][C]141[/C][C]0.0521678[/C][C]0.104336[/C][C]0.947832[/C][/ROW]
[ROW][C]142[/C][C]0.0767763[/C][C]0.153553[/C][C]0.923224[/C][/ROW]
[ROW][C]143[/C][C]0.0925426[/C][C]0.185085[/C][C]0.907457[/C][/ROW]
[ROW][C]144[/C][C]0.0856698[/C][C]0.17134[/C][C]0.91433[/C][/ROW]
[ROW][C]145[/C][C]0.150675[/C][C]0.30135[/C][C]0.849325[/C][/ROW]
[ROW][C]146[/C][C]0.138671[/C][C]0.277343[/C][C]0.861329[/C][/ROW]
[ROW][C]147[/C][C]0.124277[/C][C]0.248555[/C][C]0.875723[/C][/ROW]
[ROW][C]148[/C][C]0.108843[/C][C]0.217687[/C][C]0.891157[/C][/ROW]
[ROW][C]149[/C][C]0.0993548[/C][C]0.19871[/C][C]0.900645[/C][/ROW]
[ROW][C]150[/C][C]0.0876361[/C][C]0.175272[/C][C]0.912364[/C][/ROW]
[ROW][C]151[/C][C]0.135971[/C][C]0.271942[/C][C]0.864029[/C][/ROW]
[ROW][C]152[/C][C]0.126452[/C][C]0.252904[/C][C]0.873548[/C][/ROW]
[ROW][C]153[/C][C]0.113917[/C][C]0.227835[/C][C]0.886083[/C][/ROW]
[ROW][C]154[/C][C]0.123842[/C][C]0.247683[/C][C]0.876158[/C][/ROW]
[ROW][C]155[/C][C]0.106659[/C][C]0.213318[/C][C]0.893341[/C][/ROW]
[ROW][C]156[/C][C]0.106832[/C][C]0.213664[/C][C]0.893168[/C][/ROW]
[ROW][C]157[/C][C]0.109707[/C][C]0.219414[/C][C]0.890293[/C][/ROW]
[ROW][C]158[/C][C]0.103075[/C][C]0.206149[/C][C]0.896925[/C][/ROW]
[ROW][C]159[/C][C]0.0904261[/C][C]0.180852[/C][C]0.909574[/C][/ROW]
[ROW][C]160[/C][C]0.0975001[/C][C]0.195[/C][C]0.9025[/C][/ROW]
[ROW][C]161[/C][C]0.083988[/C][C]0.167976[/C][C]0.916012[/C][/ROW]
[ROW][C]162[/C][C]0.08087[/C][C]0.16174[/C][C]0.91913[/C][/ROW]
[ROW][C]163[/C][C]0.0701502[/C][C]0.1403[/C][C]0.92985[/C][/ROW]
[ROW][C]164[/C][C]0.0813023[/C][C]0.162605[/C][C]0.918698[/C][/ROW]
[ROW][C]165[/C][C]0.0742255[/C][C]0.148451[/C][C]0.925774[/C][/ROW]
[ROW][C]166[/C][C]0.142933[/C][C]0.285867[/C][C]0.857067[/C][/ROW]
[ROW][C]167[/C][C]0.143578[/C][C]0.287156[/C][C]0.856422[/C][/ROW]
[ROW][C]168[/C][C]0.139453[/C][C]0.278906[/C][C]0.860547[/C][/ROW]
[ROW][C]169[/C][C]0.125707[/C][C]0.251414[/C][C]0.874293[/C][/ROW]
[ROW][C]170[/C][C]0.248263[/C][C]0.496525[/C][C]0.751737[/C][/ROW]
[ROW][C]171[/C][C]0.280657[/C][C]0.561314[/C][C]0.719343[/C][/ROW]
[ROW][C]172[/C][C]0.250902[/C][C]0.501805[/C][C]0.749098[/C][/ROW]
[ROW][C]173[/C][C]0.346878[/C][C]0.693756[/C][C]0.653122[/C][/ROW]
[ROW][C]174[/C][C]0.313132[/C][C]0.626263[/C][C]0.686868[/C][/ROW]
[ROW][C]175[/C][C]0.368217[/C][C]0.736434[/C][C]0.631783[/C][/ROW]
[ROW][C]176[/C][C]0.351614[/C][C]0.703228[/C][C]0.648386[/C][/ROW]
[ROW][C]177[/C][C]0.360316[/C][C]0.720631[/C][C]0.639684[/C][/ROW]
[ROW][C]178[/C][C]0.334025[/C][C]0.66805[/C][C]0.665975[/C][/ROW]
[ROW][C]179[/C][C]0.306831[/C][C]0.613661[/C][C]0.693169[/C][/ROW]
[ROW][C]180[/C][C]0.29267[/C][C]0.585339[/C][C]0.70733[/C][/ROW]
[ROW][C]181[/C][C]0.265203[/C][C]0.530405[/C][C]0.734797[/C][/ROW]
[ROW][C]182[/C][C]0.263435[/C][C]0.52687[/C][C]0.736565[/C][/ROW]
[ROW][C]183[/C][C]0.274367[/C][C]0.548735[/C][C]0.725633[/C][/ROW]
[ROW][C]184[/C][C]0.324591[/C][C]0.649182[/C][C]0.675409[/C][/ROW]
[ROW][C]185[/C][C]0.588006[/C][C]0.823987[/C][C]0.411994[/C][/ROW]
[ROW][C]186[/C][C]0.580169[/C][C]0.839662[/C][C]0.419831[/C][/ROW]
[ROW][C]187[/C][C]0.566317[/C][C]0.867367[/C][C]0.433683[/C][/ROW]
[ROW][C]188[/C][C]0.680582[/C][C]0.638836[/C][C]0.319418[/C][/ROW]
[ROW][C]189[/C][C]0.664538[/C][C]0.670924[/C][C]0.335462[/C][/ROW]
[ROW][C]190[/C][C]0.651143[/C][C]0.697713[/C][C]0.348857[/C][/ROW]
[ROW][C]191[/C][C]0.647688[/C][C]0.704625[/C][C]0.352312[/C][/ROW]
[ROW][C]192[/C][C]0.611812[/C][C]0.776376[/C][C]0.388188[/C][/ROW]
[ROW][C]193[/C][C]0.578932[/C][C]0.842137[/C][C]0.421068[/C][/ROW]
[ROW][C]194[/C][C]0.538626[/C][C]0.922748[/C][C]0.461374[/C][/ROW]
[ROW][C]195[/C][C]0.500581[/C][C]0.998838[/C][C]0.499419[/C][/ROW]
[ROW][C]196[/C][C]0.462763[/C][C]0.925526[/C][C]0.537237[/C][/ROW]
[ROW][C]197[/C][C]0.45813[/C][C]0.916259[/C][C]0.54187[/C][/ROW]
[ROW][C]198[/C][C]0.437356[/C][C]0.874712[/C][C]0.562644[/C][/ROW]
[ROW][C]199[/C][C]0.397029[/C][C]0.794058[/C][C]0.602971[/C][/ROW]
[ROW][C]200[/C][C]0.518805[/C][C]0.96239[/C][C]0.481195[/C][/ROW]
[ROW][C]201[/C][C]0.485092[/C][C]0.970183[/C][C]0.514908[/C][/ROW]
[ROW][C]202[/C][C]0.670045[/C][C]0.65991[/C][C]0.329955[/C][/ROW]
[ROW][C]203[/C][C]0.634491[/C][C]0.731018[/C][C]0.365509[/C][/ROW]
[ROW][C]204[/C][C]0.596111[/C][C]0.807778[/C][C]0.403889[/C][/ROW]
[ROW][C]205[/C][C]0.556501[/C][C]0.886998[/C][C]0.443499[/C][/ROW]
[ROW][C]206[/C][C]0.517914[/C][C]0.964171[/C][C]0.482086[/C][/ROW]
[ROW][C]207[/C][C]0.474914[/C][C]0.949827[/C][C]0.525086[/C][/ROW]
[ROW][C]208[/C][C]0.430868[/C][C]0.861736[/C][C]0.569132[/C][/ROW]
[ROW][C]209[/C][C]0.404258[/C][C]0.808516[/C][C]0.595742[/C][/ROW]
[ROW][C]210[/C][C]0.364635[/C][C]0.729271[/C][C]0.635365[/C][/ROW]
[ROW][C]211[/C][C]0.325817[/C][C]0.651634[/C][C]0.674183[/C][/ROW]
[ROW][C]212[/C][C]0.295504[/C][C]0.591008[/C][C]0.704496[/C][/ROW]
[ROW][C]213[/C][C]0.343273[/C][C]0.686545[/C][C]0.656727[/C][/ROW]
[ROW][C]214[/C][C]0.321027[/C][C]0.642054[/C][C]0.678973[/C][/ROW]
[ROW][C]215[/C][C]0.280575[/C][C]0.561151[/C][C]0.719425[/C][/ROW]
[ROW][C]216[/C][C]0.246952[/C][C]0.493903[/C][C]0.753048[/C][/ROW]
[ROW][C]217[/C][C]0.220612[/C][C]0.441225[/C][C]0.779388[/C][/ROW]
[ROW][C]218[/C][C]0.252324[/C][C]0.504648[/C][C]0.747676[/C][/ROW]
[ROW][C]219[/C][C]0.225751[/C][C]0.451503[/C][C]0.774249[/C][/ROW]
[ROW][C]220[/C][C]0.198355[/C][C]0.396709[/C][C]0.801645[/C][/ROW]
[ROW][C]221[/C][C]0.168221[/C][C]0.336442[/C][C]0.831779[/C][/ROW]
[ROW][C]222[/C][C]0.158514[/C][C]0.317028[/C][C]0.841486[/C][/ROW]
[ROW][C]223[/C][C]0.130127[/C][C]0.260255[/C][C]0.869873[/C][/ROW]
[ROW][C]224[/C][C]0.113283[/C][C]0.226566[/C][C]0.886717[/C][/ROW]
[ROW][C]225[/C][C]0.0911142[/C][C]0.182228[/C][C]0.908886[/C][/ROW]
[ROW][C]226[/C][C]0.100263[/C][C]0.200525[/C][C]0.899737[/C][/ROW]
[ROW][C]227[/C][C]0.0879042[/C][C]0.175808[/C][C]0.912096[/C][/ROW]
[ROW][C]228[/C][C]0.0694219[/C][C]0.138844[/C][C]0.930578[/C][/ROW]
[ROW][C]229[/C][C]0.0539941[/C][C]0.107988[/C][C]0.946006[/C][/ROW]
[ROW][C]230[/C][C]0.0417293[/C][C]0.0834586[/C][C]0.958271[/C][/ROW]
[ROW][C]231[/C][C]0.0388939[/C][C]0.0777877[/C][C]0.961106[/C][/ROW]
[ROW][C]232[/C][C]0.0564124[/C][C]0.112825[/C][C]0.943588[/C][/ROW]
[ROW][C]233[/C][C]0.0440822[/C][C]0.0881644[/C][C]0.955918[/C][/ROW]
[ROW][C]234[/C][C]0.141621[/C][C]0.283243[/C][C]0.858379[/C][/ROW]
[ROW][C]235[/C][C]0.11452[/C][C]0.229041[/C][C]0.88548[/C][/ROW]
[ROW][C]236[/C][C]0.107777[/C][C]0.215554[/C][C]0.892223[/C][/ROW]
[ROW][C]237[/C][C]0.0996039[/C][C]0.199208[/C][C]0.900396[/C][/ROW]
[ROW][C]238[/C][C]0.22509[/C][C]0.450181[/C][C]0.77491[/C][/ROW]
[ROW][C]239[/C][C]0.187007[/C][C]0.374014[/C][C]0.812993[/C][/ROW]
[ROW][C]240[/C][C]0.275297[/C][C]0.550593[/C][C]0.724703[/C][/ROW]
[ROW][C]241[/C][C]0.374781[/C][C]0.749563[/C][C]0.625219[/C][/ROW]
[ROW][C]242[/C][C]0.310136[/C][C]0.620272[/C][C]0.689864[/C][/ROW]
[ROW][C]243[/C][C]0.261271[/C][C]0.522543[/C][C]0.738729[/C][/ROW]
[ROW][C]244[/C][C]0.218097[/C][C]0.436194[/C][C]0.781903[/C][/ROW]
[ROW][C]245[/C][C]0.45089[/C][C]0.901781[/C][C]0.54911[/C][/ROW]
[ROW][C]246[/C][C]0.707362[/C][C]0.585275[/C][C]0.292638[/C][/ROW]
[ROW][C]247[/C][C]0.681742[/C][C]0.636516[/C][C]0.318258[/C][/ROW]
[ROW][C]248[/C][C]0.650408[/C][C]0.699183[/C][C]0.349592[/C][/ROW]
[ROW][C]249[/C][C]0.683439[/C][C]0.633121[/C][C]0.316561[/C][/ROW]
[ROW][C]250[/C][C]0.610792[/C][C]0.778417[/C][C]0.389208[/C][/ROW]
[ROW][C]251[/C][C]0.606941[/C][C]0.786119[/C][C]0.393059[/C][/ROW]
[ROW][C]252[/C][C]0.490922[/C][C]0.981844[/C][C]0.509078[/C][/ROW]
[ROW][C]253[/C][C]0.37252[/C][C]0.74504[/C][C]0.62748[/C][/ROW]
[ROW][C]254[/C][C]0.350223[/C][C]0.700446[/C][C]0.649777[/C][/ROW]
[ROW][C]255[/C][C]0.307395[/C][C]0.614791[/C][C]0.692605[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253733&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253733&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.4053870.8107750.594613
100.2442690.4885390.755731
110.1612020.3224030.838798
120.6652090.6695810.334791
130.7322350.535530.267765
140.6464150.707170.353585
150.5788010.8423980.421199
160.6406780.7186440.359322
170.5639110.8721790.436089
180.5074560.9850880.492544
190.4470540.8941090.552946
200.4812210.9624420.518779
210.5320730.9358540.467927
220.4779090.9558180.522091
230.4261220.8522440.573878
240.3580440.7160880.641956
250.4023380.8046760.597662
260.641070.717860.35893
270.5809770.8380450.419023
280.5509510.8980980.449049
290.5168870.9662250.483113
300.4592470.9184950.540753
310.4525210.9050420.547479
320.5961650.807670.403835
330.5907770.8184460.409223
340.5614140.8771730.438586
350.5111710.9776580.488829
360.4588310.9176620.541169
370.4181060.8362120.581894
380.3879670.7759340.612033
390.4945020.9890050.505498
400.442740.885480.55726
410.4163540.8327080.583646
420.3663270.7326540.633673
430.3380990.6761970.661901
440.300650.60130.69935
450.3711420.7422840.628858
460.3969220.7938450.603078
470.3688020.7376040.631198
480.3390190.6780380.660981
490.296920.593840.70308
500.3189910.6379810.681009
510.3500430.7000860.649957
520.3178160.6356330.682184
530.2831230.5662460.716877
540.2573720.5147440.742628
550.2216770.4433530.778323
560.2009460.4018920.799054
570.2111590.4223170.788841
580.3001140.6002270.699886
590.2733530.5467060.726647
600.2386030.4772060.761397
610.2147030.4294050.785297
620.2080210.4160430.791979
630.182030.3640610.81797
640.1808060.3616130.819194
650.1552420.3104840.844758
660.1336110.2672220.866389
670.1129690.2259380.887031
680.1198820.2397640.880118
690.1206030.2412070.879397
700.1027670.2055340.897233
710.1084970.2169930.891503
720.1299820.2599650.870018
730.1292780.2585570.870722
740.1092560.2185120.890744
750.09506530.1901310.904935
760.1196270.2392550.880373
770.1024820.2049640.897518
780.0864990.1729980.913501
790.1143840.2287670.885616
800.1440520.2881030.855948
810.1366640.2733290.863336
820.1173380.2346770.882662
830.1109190.2218380.889081
840.1054120.2108230.894588
850.09184670.1836930.908153
860.08096850.1619370.919032
870.07124470.1424890.928755
880.08645510.172910.913545
890.07258560.1451710.927414
900.07829560.1565910.921704
910.07260360.1452070.927396
920.06549380.1309880.934506
930.05547880.1109580.944521
940.0572460.1144920.942754
950.05649030.1129810.94351
960.05139790.1027960.948602
970.04372830.08745660.956272
980.03856160.07712310.961438
990.03795810.07591620.962042
1000.03511940.07023880.964881
1010.03104140.06208280.968959
1020.02584740.05169480.974153
1030.02125440.04250880.978746
1040.02247470.04494950.977525
1050.0506250.101250.949375
1060.04754020.09508040.95246
1070.05721620.1144320.942784
1080.0498110.0996220.950189
1090.0819340.1638680.918066
1100.09806030.1961210.90194
1110.0941990.1883980.905801
1120.1260490.2520980.873951
1130.1133270.2266550.886673
1140.1091660.2183330.890834
1150.1043290.2086580.895671
1160.1018880.2037760.898112
1170.09676680.1935340.903233
1180.08434890.1686980.915651
1190.07906240.1581250.920938
1200.06999120.1399820.930009
1210.06097580.1219520.939024
1220.05506330.1101270.944937
1230.0466490.09329810.953351
1240.04500210.09000430.954998
1250.04269430.08538860.957306
1260.05322630.1064530.946774
1270.09788440.1957690.902116
1280.09442850.1888570.905571
1290.08323690.1664740.916763
1300.07668780.1533760.923312
1310.08480870.1696170.915191
1320.09116140.1823230.908839
1330.112150.22430.88785
1340.09848840.1969770.901512
1350.08493550.1698710.915064
1360.0745160.1490320.925484
1370.06328570.1265710.936714
1380.06565620.1313120.934344
1390.05601810.1120360.943982
1400.05467130.1093430.945329
1410.05216780.1043360.947832
1420.07677630.1535530.923224
1430.09254260.1850850.907457
1440.08566980.171340.91433
1450.1506750.301350.849325
1460.1386710.2773430.861329
1470.1242770.2485550.875723
1480.1088430.2176870.891157
1490.09935480.198710.900645
1500.08763610.1752720.912364
1510.1359710.2719420.864029
1520.1264520.2529040.873548
1530.1139170.2278350.886083
1540.1238420.2476830.876158
1550.1066590.2133180.893341
1560.1068320.2136640.893168
1570.1097070.2194140.890293
1580.1030750.2061490.896925
1590.09042610.1808520.909574
1600.09750010.1950.9025
1610.0839880.1679760.916012
1620.080870.161740.91913
1630.07015020.14030.92985
1640.08130230.1626050.918698
1650.07422550.1484510.925774
1660.1429330.2858670.857067
1670.1435780.2871560.856422
1680.1394530.2789060.860547
1690.1257070.2514140.874293
1700.2482630.4965250.751737
1710.2806570.5613140.719343
1720.2509020.5018050.749098
1730.3468780.6937560.653122
1740.3131320.6262630.686868
1750.3682170.7364340.631783
1760.3516140.7032280.648386
1770.3603160.7206310.639684
1780.3340250.668050.665975
1790.3068310.6136610.693169
1800.292670.5853390.70733
1810.2652030.5304050.734797
1820.2634350.526870.736565
1830.2743670.5487350.725633
1840.3245910.6491820.675409
1850.5880060.8239870.411994
1860.5801690.8396620.419831
1870.5663170.8673670.433683
1880.6805820.6388360.319418
1890.6645380.6709240.335462
1900.6511430.6977130.348857
1910.6476880.7046250.352312
1920.6118120.7763760.388188
1930.5789320.8421370.421068
1940.5386260.9227480.461374
1950.5005810.9988380.499419
1960.4627630.9255260.537237
1970.458130.9162590.54187
1980.4373560.8747120.562644
1990.3970290.7940580.602971
2000.5188050.962390.481195
2010.4850920.9701830.514908
2020.6700450.659910.329955
2030.6344910.7310180.365509
2040.5961110.8077780.403889
2050.5565010.8869980.443499
2060.5179140.9641710.482086
2070.4749140.9498270.525086
2080.4308680.8617360.569132
2090.4042580.8085160.595742
2100.3646350.7292710.635365
2110.3258170.6516340.674183
2120.2955040.5910080.704496
2130.3432730.6865450.656727
2140.3210270.6420540.678973
2150.2805750.5611510.719425
2160.2469520.4939030.753048
2170.2206120.4412250.779388
2180.2523240.5046480.747676
2190.2257510.4515030.774249
2200.1983550.3967090.801645
2210.1682210.3364420.831779
2220.1585140.3170280.841486
2230.1301270.2602550.869873
2240.1132830.2265660.886717
2250.09111420.1822280.908886
2260.1002630.2005250.899737
2270.08790420.1758080.912096
2280.06942190.1388440.930578
2290.05399410.1079880.946006
2300.04172930.08345860.958271
2310.03889390.07778770.961106
2320.05641240.1128250.943588
2330.04408220.08816440.955918
2340.1416210.2832430.858379
2350.114520.2290410.88548
2360.1077770.2155540.892223
2370.09960390.1992080.900396
2380.225090.4501810.77491
2390.1870070.3740140.812993
2400.2752970.5505930.724703
2410.3747810.7495630.625219
2420.3101360.6202720.689864
2430.2612710.5225430.738729
2440.2180970.4361940.781903
2450.450890.9017810.54911
2460.7073620.5852750.292638
2470.6817420.6365160.318258
2480.6504080.6991830.349592
2490.6834390.6331210.316561
2500.6107920.7784170.389208
2510.6069410.7861190.393059
2520.4909220.9818440.509078
2530.372520.745040.62748
2540.3502230.7004460.649777
2550.3073950.6147910.692605






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.00809717OK
10% type I error level160.0647773OK

\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 & 2 & 0.00809717 & OK \tabularnewline
10% type I error level & 16 & 0.0647773 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253733&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]2[/C][C]0.00809717[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]16[/C][C]0.0647773[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253733&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253733&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 level20.00809717OK
10% type I error level160.0647773OK


Figures (Output of Computation)

Figure 1
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Figure 6
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Figure 7
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Figure 9
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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')
}