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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, 04 Nov 2014 21:43:11 +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/04/t1415137412p2bn8axdac7jel8.htm/, Retrieved Sun, 19 May 2024 19:51:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=251376, Retrieved Sun, 19 May 2024 19:51:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-11-04 21:43:11] [a97fb05c06a04cb9398859e294d4eb9c] [Current]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=251376&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=251376&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=251376&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 time8 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Depression[t] = + 26.1787 -0.0587682Connected[t] -0.0003825Separate[t] -0.231279Learning[t] -0.028673Software[t] -0.0987146Sport1[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Depression[t] =  +  26.1787 -0.0587682Connected[t] -0.0003825Separate[t] -0.231279Learning[t] -0.028673Software[t] -0.0987146Sport1[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=251376&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Depression[t] =  +  26.1787 -0.0587682Connected[t] -0.0003825Separate[t] -0.231279Learning[t] -0.028673Software[t] -0.0987146Sport1[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=251376&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=251376&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
Depression[t] = + 26.1787 -0.0587682Connected[t] -0.0003825Separate[t] -0.231279Learning[t] -0.028673Software[t] -0.0987146Sport1[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)26.17872.4438910.712.16185e-221.08093e-22
Connected-0.05876820.0595699-0.98650.3247910.162396
Separate-0.00038250.0613499-0.0062350.995030.497515
Learning-0.2312790.105694-2.1880.0295530.0147765
Software-0.0286730.110277-0.260.7950650.397532
Sport1-0.09871460.0195004-5.0627.88998e-073.94499e-07

\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) & 26.1787 & 2.44389 & 10.71 & 2.16185e-22 & 1.08093e-22 \tabularnewline
Connected & -0.0587682 & 0.0595699 & -0.9865 & 0.324791 & 0.162396 \tabularnewline
Separate & -0.0003825 & 0.0613499 & -0.006235 & 0.99503 & 0.497515 \tabularnewline
Learning & -0.231279 & 0.105694 & -2.188 & 0.029553 & 0.0147765 \tabularnewline
Software & -0.028673 & 0.110277 & -0.26 & 0.795065 & 0.397532 \tabularnewline
Sport1 & -0.0987146 & 0.0195004 & -5.062 & 7.88998e-07 & 3.94499e-07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=251376&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]26.1787[/C][C]2.44389[/C][C]10.71[/C][C]2.16185e-22[/C][C]1.08093e-22[/C][/ROW]
[ROW][C]Connected[/C][C]-0.0587682[/C][C]0.0595699[/C][C]-0.9865[/C][C]0.324791[/C][C]0.162396[/C][/ROW]
[ROW][C]Separate[/C][C]-0.0003825[/C][C]0.0613499[/C][C]-0.006235[/C][C]0.99503[/C][C]0.497515[/C][/ROW]
[ROW][C]Learning[/C][C]-0.231279[/C][C]0.105694[/C][C]-2.188[/C][C]0.029553[/C][C]0.0147765[/C][/ROW]
[ROW][C]Software[/C][C]-0.028673[/C][C]0.110277[/C][C]-0.26[/C][C]0.795065[/C][C]0.397532[/C][/ROW]
[ROW][C]Sport1[/C][C]-0.0987146[/C][C]0.0195004[/C][C]-5.062[/C][C]7.88998e-07[/C][C]3.94499e-07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=251376&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=251376&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)26.17872.4438910.712.16185e-221.08093e-22
Connected-0.05876820.0595699-0.98650.3247910.162396
Separate-0.00038250.0613499-0.0062350.995030.497515
Learning-0.2312790.105694-2.1880.0295530.0147765
Software-0.0286730.110277-0.260.7950650.397532
Sport1-0.09871460.0195004-5.0627.88998e-073.94499e-07






Multiple Linear Regression - Regression Statistics
Multiple R0.383645
R-squared0.147184
Adjusted R-squared0.130656
F-TEST (value)8.90541
F-TEST (DF numerator)5
F-TEST (DF denominator)258
p-value8.11654e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.23497
Sum Squared Residuals2699.98

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.383645 \tabularnewline
R-squared & 0.147184 \tabularnewline
Adjusted R-squared & 0.130656 \tabularnewline
F-TEST (value) & 8.90541 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 258 \tabularnewline
p-value & 8.11654e-08 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.23497 \tabularnewline
Sum Squared Residuals & 2699.98 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=251376&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.383645[/C][/ROW]
[ROW][C]R-squared[/C][C]0.147184[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.130656[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]8.90541[/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]8.11654e-08[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.23497[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2699.98[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=251376&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=251376&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 R0.383645
R-squared0.147184
Adjusted R-squared0.130656
F-TEST (value)8.90541
F-TEST (DF numerator)5
F-TEST (DF denominator)258
p-value8.11654e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.23497
Sum Squared Residuals2699.98






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11215.172-3.17205
21111.6653-0.66528
31413.06270.937333
41214.0891-2.08912
52113.05347.94658
61213.1176-1.11758
72213.90468.09541
81112.399-1.39899
91013.1628-3.16275
101312.76010.239852
111012.148-2.14796
12814.6749-6.67487
131513.27371.72634
141414.5257-0.525707
151011.2751-1.27515
161414.7467-0.746745
171412.89131.10875
181110.27440.725607
191013.076-3.076
201314.6146-1.61456
219.513.7544-4.25442
221413.58790.412146
231213.7745-1.77453
241414.4454-0.445432
251111.1092-0.109184
26911.5553-2.55526
271112.5601-1.56011
281513.54321.45676
291412.48241.51759
301314.0294-1.0294
31912.6346-3.63456
321516.2444-1.24435
331013.459-3.459
341111.8298-0.829821
351313.2822-0.282201
36814.7632-6.76321
372015.67274.32735
381213.4597-1.45966
391012.973-2.97302
401013.3106-3.31065
41912.6999-3.69992
421413.18230.817661
43813.547-5.54696
441415.4514-1.45135
451113.5988-2.59881
461314.3901-1.39011
47913.9034-4.90344
481113.0381-2.03812
491512.72772.27228
501112.9476-1.94765
511013.0742-3.0742
521414.1481-0.148086
531814.9473.05299
541413.97250.0275139
551115.8419-4.84194
5614.513.07861.42141
571312.52430.475727
58913.803-4.80296
591012.9997-2.99971
601513.21161.78845
612016.1973.80303
621212.2869-0.286897
631212.1681-0.168098
641415.657-1.65699
651314.7936-1.79355
661111.906-0.905959
671712.974.02999
681212.7207-0.720695
691314.533-1.53295
701413.25180.748229
711314.7756-1.77564
721515.4584-0.458411
731311.60531.3947
741012.554-2.55403
751111.8336-0.833646
761911.78837.21174
771313.0068-0.00684725
781713.34153.65849
791313.5696-0.569563
80914.6188-5.61878
811112.3825-1.38254
82913.0543-4.05434
831212.9722-0.972185
841213.393-1.39303
851312.63920.360768
861313.031-0.0309901
871213.3705-1.37046
881515.087-0.087012
892213.50348.4966
901314.1035-1.1035
911514.35830.641663
921312.46050.539475
931512.37952.62049
9412.513.215-0.715034
951111.9886-0.988566
961613.10632.89367
971112.4517-1.45165
981111.9508-0.950807
991013.2574-3.25736
1001012.3275-2.3275
1011612.76883.23119
1021210.60241.39756
1031113.9876-2.98761
1041612.41013.58993
1051913.75245.24761
1061112.154-1.15395
1071612.7013.29903
1081514.70320.29684
1092416.11867.88137
1101411.96732.03267
1111512.93752.06254
1121111.3484-0.348363
1131517.2123-2.21227
1141213.4268-1.42684
1151010.9668-0.966769
1161415.2828-1.28276
1171314.0841-1.08407
118914.0926-5.09258
1191511.00283.99716
1201515.5725-0.572535
1211412.7711.22901
1221111.7942-0.794246
123812.3855-4.3855
1241113.003-2.00305
1251112.4152-1.41521
126811.2342-3.23423
1271012.0259-2.02591
1281112.5024-1.50241
1291313.9109-0.910945
1301113.2895-2.28952
1312015.37754.62245
1321012.2829-2.28291
1331515.0732-0.0732404
1341213.1028-1.10284
1351412.0831.91702
1362315.92957.07054
1371414.1635-0.163544
1381616.2408-0.240835
1391114.7863-3.7863
1401214.73-2.73002
1411015.0246-5.02463
1421412.38221.61781
1431211.55090.449068
1441212.7312-0.731156
1451112.4883-1.4883
1461212.2497-0.249669
1471314.7757-1.77565
1481112.8381-1.83808
1491913.63875.36132
1501213.0263-1.0263
1511712.05594.94415
152913.1987-4.19875
1531213.1269-1.1269
1541913.65395.34614
1551813.98554.01447
1561514.35830.641663
1571414.2939-0.29395
1581112.5024-1.50241
159911.8604-2.86041
1601812.98685.01322
1611614.11941.88055
1622414.77359.22655
1631413.34630.653717
1642011.50518.49492
1651813.30234.69774
1662316.8846.11602
1671213.1499-1.14994
1681414.4481-0.448096
1691612.72073.2793
1701813.32714.67294
1712015.64444.35564
1721212.8969-0.896859
1731212.994-0.993956
1741716.35840.641568
1751313.8254-0.825416
176912.8004-3.80036
1771614.27431.72571
1781814.55943.44058
1791014.2065-4.20647
1801413.5930.406973
1811114.6741-3.6741
182914.7803-5.78031
1831112.6087-1.60866
1841012.2228-2.2228
1851113.8951-2.89514
1861912.73756.26254
1871412.4981.50203
1881212.3106-0.31061
1891416.4471-2.44707
1902115.57535.42472
1911316.9512-3.95117
1921012.482-2.48203
1931514.61280.387223
1941613.97142.02855
1951413.8850.114974
1961213.2664-1.26642
1971912.41176.58829
1981511.59243.40755
1991914.61044.38958
2001312.99290.00711868
2011713.54833.45171
2021214.4208-2.4208
2031113.963-2.96296
2041415.7183-1.71829
2051113.4203-2.42028
2061313.0773-0.0773007
2071211.7010.298989
2081514.93030.0696983
2091414.3096-0.309557
2101212.12-0.119975
2111714.73082.26924
2121112.3409-1.34088
2131811.91046.0896
2141312.90630.0936504
2151713.453.55003
2161314.5825-1.5825
2171111.588-0.588034
2181212.1557-0.155745
2192214.7927.20799
2201412.14021.85977
2211213.2561-1.25614
2221214.6816-2.68161
2231713.30643.69364
224914.2037-5.20375
2252117.15093.84907
2261014.5623-4.56229
2271115.4894-4.48938
2281214.5113-2.51132
2292314.85068.14937
2301314.2237-1.22372
2311213.9817-1.98166
2321615.01140.988628
233914.6871-5.68712
2341712.08464.91536
235913.7675-4.76749
2361414.3103-0.310322
2371715.39331.60671
2381315.7662-2.76624
2391113.3105-2.31053
2401214.3718-2.3718
2411012.8881-2.88806
2421915.78583.21424
2431616.3982-0.39818
2441614.41531.58468
2451412.14191.85814
2462014.6455.35505
2471514.07610.923868
2482317.13655.86353
2492016.52133.47872
2501616.6716-0.671596
2511414.689-0.689035
2521714.01382.98617
2531114.0939-3.09387
2541313.1611-0.161095
2551714.21692.78306
2561514.00070.999271
2572112.65958.34052
2581814.7573.24299
2591514.05530.94468
260814.9058-6.90584
2611214.4781-2.47812
2621214.5653-2.56526
2632214.94917.05093
2641213.8587-1.85873

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12 & 15.172 & -3.17205 \tabularnewline
2 & 11 & 11.6653 & -0.66528 \tabularnewline
3 & 14 & 13.0627 & 0.937333 \tabularnewline
4 & 12 & 14.0891 & -2.08912 \tabularnewline
5 & 21 & 13.0534 & 7.94658 \tabularnewline
6 & 12 & 13.1176 & -1.11758 \tabularnewline
7 & 22 & 13.9046 & 8.09541 \tabularnewline
8 & 11 & 12.399 & -1.39899 \tabularnewline
9 & 10 & 13.1628 & -3.16275 \tabularnewline
10 & 13 & 12.7601 & 0.239852 \tabularnewline
11 & 10 & 12.148 & -2.14796 \tabularnewline
12 & 8 & 14.6749 & -6.67487 \tabularnewline
13 & 15 & 13.2737 & 1.72634 \tabularnewline
14 & 14 & 14.5257 & -0.525707 \tabularnewline
15 & 10 & 11.2751 & -1.27515 \tabularnewline
16 & 14 & 14.7467 & -0.746745 \tabularnewline
17 & 14 & 12.8913 & 1.10875 \tabularnewline
18 & 11 & 10.2744 & 0.725607 \tabularnewline
19 & 10 & 13.076 & -3.076 \tabularnewline
20 & 13 & 14.6146 & -1.61456 \tabularnewline
21 & 9.5 & 13.7544 & -4.25442 \tabularnewline
22 & 14 & 13.5879 & 0.412146 \tabularnewline
23 & 12 & 13.7745 & -1.77453 \tabularnewline
24 & 14 & 14.4454 & -0.445432 \tabularnewline
25 & 11 & 11.1092 & -0.109184 \tabularnewline
26 & 9 & 11.5553 & -2.55526 \tabularnewline
27 & 11 & 12.5601 & -1.56011 \tabularnewline
28 & 15 & 13.5432 & 1.45676 \tabularnewline
29 & 14 & 12.4824 & 1.51759 \tabularnewline
30 & 13 & 14.0294 & -1.0294 \tabularnewline
31 & 9 & 12.6346 & -3.63456 \tabularnewline
32 & 15 & 16.2444 & -1.24435 \tabularnewline
33 & 10 & 13.459 & -3.459 \tabularnewline
34 & 11 & 11.8298 & -0.829821 \tabularnewline
35 & 13 & 13.2822 & -0.282201 \tabularnewline
36 & 8 & 14.7632 & -6.76321 \tabularnewline
37 & 20 & 15.6727 & 4.32735 \tabularnewline
38 & 12 & 13.4597 & -1.45966 \tabularnewline
39 & 10 & 12.973 & -2.97302 \tabularnewline
40 & 10 & 13.3106 & -3.31065 \tabularnewline
41 & 9 & 12.6999 & -3.69992 \tabularnewline
42 & 14 & 13.1823 & 0.817661 \tabularnewline
43 & 8 & 13.547 & -5.54696 \tabularnewline
44 & 14 & 15.4514 & -1.45135 \tabularnewline
45 & 11 & 13.5988 & -2.59881 \tabularnewline
46 & 13 & 14.3901 & -1.39011 \tabularnewline
47 & 9 & 13.9034 & -4.90344 \tabularnewline
48 & 11 & 13.0381 & -2.03812 \tabularnewline
49 & 15 & 12.7277 & 2.27228 \tabularnewline
50 & 11 & 12.9476 & -1.94765 \tabularnewline
51 & 10 & 13.0742 & -3.0742 \tabularnewline
52 & 14 & 14.1481 & -0.148086 \tabularnewline
53 & 18 & 14.947 & 3.05299 \tabularnewline
54 & 14 & 13.9725 & 0.0275139 \tabularnewline
55 & 11 & 15.8419 & -4.84194 \tabularnewline
56 & 14.5 & 13.0786 & 1.42141 \tabularnewline
57 & 13 & 12.5243 & 0.475727 \tabularnewline
58 & 9 & 13.803 & -4.80296 \tabularnewline
59 & 10 & 12.9997 & -2.99971 \tabularnewline
60 & 15 & 13.2116 & 1.78845 \tabularnewline
61 & 20 & 16.197 & 3.80303 \tabularnewline
62 & 12 & 12.2869 & -0.286897 \tabularnewline
63 & 12 & 12.1681 & -0.168098 \tabularnewline
64 & 14 & 15.657 & -1.65699 \tabularnewline
65 & 13 & 14.7936 & -1.79355 \tabularnewline
66 & 11 & 11.906 & -0.905959 \tabularnewline
67 & 17 & 12.97 & 4.02999 \tabularnewline
68 & 12 & 12.7207 & -0.720695 \tabularnewline
69 & 13 & 14.533 & -1.53295 \tabularnewline
70 & 14 & 13.2518 & 0.748229 \tabularnewline
71 & 13 & 14.7756 & -1.77564 \tabularnewline
72 & 15 & 15.4584 & -0.458411 \tabularnewline
73 & 13 & 11.6053 & 1.3947 \tabularnewline
74 & 10 & 12.554 & -2.55403 \tabularnewline
75 & 11 & 11.8336 & -0.833646 \tabularnewline
76 & 19 & 11.7883 & 7.21174 \tabularnewline
77 & 13 & 13.0068 & -0.00684725 \tabularnewline
78 & 17 & 13.3415 & 3.65849 \tabularnewline
79 & 13 & 13.5696 & -0.569563 \tabularnewline
80 & 9 & 14.6188 & -5.61878 \tabularnewline
81 & 11 & 12.3825 & -1.38254 \tabularnewline
82 & 9 & 13.0543 & -4.05434 \tabularnewline
83 & 12 & 12.9722 & -0.972185 \tabularnewline
84 & 12 & 13.393 & -1.39303 \tabularnewline
85 & 13 & 12.6392 & 0.360768 \tabularnewline
86 & 13 & 13.031 & -0.0309901 \tabularnewline
87 & 12 & 13.3705 & -1.37046 \tabularnewline
88 & 15 & 15.087 & -0.087012 \tabularnewline
89 & 22 & 13.5034 & 8.4966 \tabularnewline
90 & 13 & 14.1035 & -1.1035 \tabularnewline
91 & 15 & 14.3583 & 0.641663 \tabularnewline
92 & 13 & 12.4605 & 0.539475 \tabularnewline
93 & 15 & 12.3795 & 2.62049 \tabularnewline
94 & 12.5 & 13.215 & -0.715034 \tabularnewline
95 & 11 & 11.9886 & -0.988566 \tabularnewline
96 & 16 & 13.1063 & 2.89367 \tabularnewline
97 & 11 & 12.4517 & -1.45165 \tabularnewline
98 & 11 & 11.9508 & -0.950807 \tabularnewline
99 & 10 & 13.2574 & -3.25736 \tabularnewline
100 & 10 & 12.3275 & -2.3275 \tabularnewline
101 & 16 & 12.7688 & 3.23119 \tabularnewline
102 & 12 & 10.6024 & 1.39756 \tabularnewline
103 & 11 & 13.9876 & -2.98761 \tabularnewline
104 & 16 & 12.4101 & 3.58993 \tabularnewline
105 & 19 & 13.7524 & 5.24761 \tabularnewline
106 & 11 & 12.154 & -1.15395 \tabularnewline
107 & 16 & 12.701 & 3.29903 \tabularnewline
108 & 15 & 14.7032 & 0.29684 \tabularnewline
109 & 24 & 16.1186 & 7.88137 \tabularnewline
110 & 14 & 11.9673 & 2.03267 \tabularnewline
111 & 15 & 12.9375 & 2.06254 \tabularnewline
112 & 11 & 11.3484 & -0.348363 \tabularnewline
113 & 15 & 17.2123 & -2.21227 \tabularnewline
114 & 12 & 13.4268 & -1.42684 \tabularnewline
115 & 10 & 10.9668 & -0.966769 \tabularnewline
116 & 14 & 15.2828 & -1.28276 \tabularnewline
117 & 13 & 14.0841 & -1.08407 \tabularnewline
118 & 9 & 14.0926 & -5.09258 \tabularnewline
119 & 15 & 11.0028 & 3.99716 \tabularnewline
120 & 15 & 15.5725 & -0.572535 \tabularnewline
121 & 14 & 12.771 & 1.22901 \tabularnewline
122 & 11 & 11.7942 & -0.794246 \tabularnewline
123 & 8 & 12.3855 & -4.3855 \tabularnewline
124 & 11 & 13.003 & -2.00305 \tabularnewline
125 & 11 & 12.4152 & -1.41521 \tabularnewline
126 & 8 & 11.2342 & -3.23423 \tabularnewline
127 & 10 & 12.0259 & -2.02591 \tabularnewline
128 & 11 & 12.5024 & -1.50241 \tabularnewline
129 & 13 & 13.9109 & -0.910945 \tabularnewline
130 & 11 & 13.2895 & -2.28952 \tabularnewline
131 & 20 & 15.3775 & 4.62245 \tabularnewline
132 & 10 & 12.2829 & -2.28291 \tabularnewline
133 & 15 & 15.0732 & -0.0732404 \tabularnewline
134 & 12 & 13.1028 & -1.10284 \tabularnewline
135 & 14 & 12.083 & 1.91702 \tabularnewline
136 & 23 & 15.9295 & 7.07054 \tabularnewline
137 & 14 & 14.1635 & -0.163544 \tabularnewline
138 & 16 & 16.2408 & -0.240835 \tabularnewline
139 & 11 & 14.7863 & -3.7863 \tabularnewline
140 & 12 & 14.73 & -2.73002 \tabularnewline
141 & 10 & 15.0246 & -5.02463 \tabularnewline
142 & 14 & 12.3822 & 1.61781 \tabularnewline
143 & 12 & 11.5509 & 0.449068 \tabularnewline
144 & 12 & 12.7312 & -0.731156 \tabularnewline
145 & 11 & 12.4883 & -1.4883 \tabularnewline
146 & 12 & 12.2497 & -0.249669 \tabularnewline
147 & 13 & 14.7757 & -1.77565 \tabularnewline
148 & 11 & 12.8381 & -1.83808 \tabularnewline
149 & 19 & 13.6387 & 5.36132 \tabularnewline
150 & 12 & 13.0263 & -1.0263 \tabularnewline
151 & 17 & 12.0559 & 4.94415 \tabularnewline
152 & 9 & 13.1987 & -4.19875 \tabularnewline
153 & 12 & 13.1269 & -1.1269 \tabularnewline
154 & 19 & 13.6539 & 5.34614 \tabularnewline
155 & 18 & 13.9855 & 4.01447 \tabularnewline
156 & 15 & 14.3583 & 0.641663 \tabularnewline
157 & 14 & 14.2939 & -0.29395 \tabularnewline
158 & 11 & 12.5024 & -1.50241 \tabularnewline
159 & 9 & 11.8604 & -2.86041 \tabularnewline
160 & 18 & 12.9868 & 5.01322 \tabularnewline
161 & 16 & 14.1194 & 1.88055 \tabularnewline
162 & 24 & 14.7735 & 9.22655 \tabularnewline
163 & 14 & 13.3463 & 0.653717 \tabularnewline
164 & 20 & 11.5051 & 8.49492 \tabularnewline
165 & 18 & 13.3023 & 4.69774 \tabularnewline
166 & 23 & 16.884 & 6.11602 \tabularnewline
167 & 12 & 13.1499 & -1.14994 \tabularnewline
168 & 14 & 14.4481 & -0.448096 \tabularnewline
169 & 16 & 12.7207 & 3.2793 \tabularnewline
170 & 18 & 13.3271 & 4.67294 \tabularnewline
171 & 20 & 15.6444 & 4.35564 \tabularnewline
172 & 12 & 12.8969 & -0.896859 \tabularnewline
173 & 12 & 12.994 & -0.993956 \tabularnewline
174 & 17 & 16.3584 & 0.641568 \tabularnewline
175 & 13 & 13.8254 & -0.825416 \tabularnewline
176 & 9 & 12.8004 & -3.80036 \tabularnewline
177 & 16 & 14.2743 & 1.72571 \tabularnewline
178 & 18 & 14.5594 & 3.44058 \tabularnewline
179 & 10 & 14.2065 & -4.20647 \tabularnewline
180 & 14 & 13.593 & 0.406973 \tabularnewline
181 & 11 & 14.6741 & -3.6741 \tabularnewline
182 & 9 & 14.7803 & -5.78031 \tabularnewline
183 & 11 & 12.6087 & -1.60866 \tabularnewline
184 & 10 & 12.2228 & -2.2228 \tabularnewline
185 & 11 & 13.8951 & -2.89514 \tabularnewline
186 & 19 & 12.7375 & 6.26254 \tabularnewline
187 & 14 & 12.498 & 1.50203 \tabularnewline
188 & 12 & 12.3106 & -0.31061 \tabularnewline
189 & 14 & 16.4471 & -2.44707 \tabularnewline
190 & 21 & 15.5753 & 5.42472 \tabularnewline
191 & 13 & 16.9512 & -3.95117 \tabularnewline
192 & 10 & 12.482 & -2.48203 \tabularnewline
193 & 15 & 14.6128 & 0.387223 \tabularnewline
194 & 16 & 13.9714 & 2.02855 \tabularnewline
195 & 14 & 13.885 & 0.114974 \tabularnewline
196 & 12 & 13.2664 & -1.26642 \tabularnewline
197 & 19 & 12.4117 & 6.58829 \tabularnewline
198 & 15 & 11.5924 & 3.40755 \tabularnewline
199 & 19 & 14.6104 & 4.38958 \tabularnewline
200 & 13 & 12.9929 & 0.00711868 \tabularnewline
201 & 17 & 13.5483 & 3.45171 \tabularnewline
202 & 12 & 14.4208 & -2.4208 \tabularnewline
203 & 11 & 13.963 & -2.96296 \tabularnewline
204 & 14 & 15.7183 & -1.71829 \tabularnewline
205 & 11 & 13.4203 & -2.42028 \tabularnewline
206 & 13 & 13.0773 & -0.0773007 \tabularnewline
207 & 12 & 11.701 & 0.298989 \tabularnewline
208 & 15 & 14.9303 & 0.0696983 \tabularnewline
209 & 14 & 14.3096 & -0.309557 \tabularnewline
210 & 12 & 12.12 & -0.119975 \tabularnewline
211 & 17 & 14.7308 & 2.26924 \tabularnewline
212 & 11 & 12.3409 & -1.34088 \tabularnewline
213 & 18 & 11.9104 & 6.0896 \tabularnewline
214 & 13 & 12.9063 & 0.0936504 \tabularnewline
215 & 17 & 13.45 & 3.55003 \tabularnewline
216 & 13 & 14.5825 & -1.5825 \tabularnewline
217 & 11 & 11.588 & -0.588034 \tabularnewline
218 & 12 & 12.1557 & -0.155745 \tabularnewline
219 & 22 & 14.792 & 7.20799 \tabularnewline
220 & 14 & 12.1402 & 1.85977 \tabularnewline
221 & 12 & 13.2561 & -1.25614 \tabularnewline
222 & 12 & 14.6816 & -2.68161 \tabularnewline
223 & 17 & 13.3064 & 3.69364 \tabularnewline
224 & 9 & 14.2037 & -5.20375 \tabularnewline
225 & 21 & 17.1509 & 3.84907 \tabularnewline
226 & 10 & 14.5623 & -4.56229 \tabularnewline
227 & 11 & 15.4894 & -4.48938 \tabularnewline
228 & 12 & 14.5113 & -2.51132 \tabularnewline
229 & 23 & 14.8506 & 8.14937 \tabularnewline
230 & 13 & 14.2237 & -1.22372 \tabularnewline
231 & 12 & 13.9817 & -1.98166 \tabularnewline
232 & 16 & 15.0114 & 0.988628 \tabularnewline
233 & 9 & 14.6871 & -5.68712 \tabularnewline
234 & 17 & 12.0846 & 4.91536 \tabularnewline
235 & 9 & 13.7675 & -4.76749 \tabularnewline
236 & 14 & 14.3103 & -0.310322 \tabularnewline
237 & 17 & 15.3933 & 1.60671 \tabularnewline
238 & 13 & 15.7662 & -2.76624 \tabularnewline
239 & 11 & 13.3105 & -2.31053 \tabularnewline
240 & 12 & 14.3718 & -2.3718 \tabularnewline
241 & 10 & 12.8881 & -2.88806 \tabularnewline
242 & 19 & 15.7858 & 3.21424 \tabularnewline
243 & 16 & 16.3982 & -0.39818 \tabularnewline
244 & 16 & 14.4153 & 1.58468 \tabularnewline
245 & 14 & 12.1419 & 1.85814 \tabularnewline
246 & 20 & 14.645 & 5.35505 \tabularnewline
247 & 15 & 14.0761 & 0.923868 \tabularnewline
248 & 23 & 17.1365 & 5.86353 \tabularnewline
249 & 20 & 16.5213 & 3.47872 \tabularnewline
250 & 16 & 16.6716 & -0.671596 \tabularnewline
251 & 14 & 14.689 & -0.689035 \tabularnewline
252 & 17 & 14.0138 & 2.98617 \tabularnewline
253 & 11 & 14.0939 & -3.09387 \tabularnewline
254 & 13 & 13.1611 & -0.161095 \tabularnewline
255 & 17 & 14.2169 & 2.78306 \tabularnewline
256 & 15 & 14.0007 & 0.999271 \tabularnewline
257 & 21 & 12.6595 & 8.34052 \tabularnewline
258 & 18 & 14.757 & 3.24299 \tabularnewline
259 & 15 & 14.0553 & 0.94468 \tabularnewline
260 & 8 & 14.9058 & -6.90584 \tabularnewline
261 & 12 & 14.4781 & -2.47812 \tabularnewline
262 & 12 & 14.5653 & -2.56526 \tabularnewline
263 & 22 & 14.9491 & 7.05093 \tabularnewline
264 & 12 & 13.8587 & -1.85873 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=251376&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]12[/C][C]15.172[/C][C]-3.17205[/C][/ROW]
[ROW][C]2[/C][C]11[/C][C]11.6653[/C][C]-0.66528[/C][/ROW]
[ROW][C]3[/C][C]14[/C][C]13.0627[/C][C]0.937333[/C][/ROW]
[ROW][C]4[/C][C]12[/C][C]14.0891[/C][C]-2.08912[/C][/ROW]
[ROW][C]5[/C][C]21[/C][C]13.0534[/C][C]7.94658[/C][/ROW]
[ROW][C]6[/C][C]12[/C][C]13.1176[/C][C]-1.11758[/C][/ROW]
[ROW][C]7[/C][C]22[/C][C]13.9046[/C][C]8.09541[/C][/ROW]
[ROW][C]8[/C][C]11[/C][C]12.399[/C][C]-1.39899[/C][/ROW]
[ROW][C]9[/C][C]10[/C][C]13.1628[/C][C]-3.16275[/C][/ROW]
[ROW][C]10[/C][C]13[/C][C]12.7601[/C][C]0.239852[/C][/ROW]
[ROW][C]11[/C][C]10[/C][C]12.148[/C][C]-2.14796[/C][/ROW]
[ROW][C]12[/C][C]8[/C][C]14.6749[/C][C]-6.67487[/C][/ROW]
[ROW][C]13[/C][C]15[/C][C]13.2737[/C][C]1.72634[/C][/ROW]
[ROW][C]14[/C][C]14[/C][C]14.5257[/C][C]-0.525707[/C][/ROW]
[ROW][C]15[/C][C]10[/C][C]11.2751[/C][C]-1.27515[/C][/ROW]
[ROW][C]16[/C][C]14[/C][C]14.7467[/C][C]-0.746745[/C][/ROW]
[ROW][C]17[/C][C]14[/C][C]12.8913[/C][C]1.10875[/C][/ROW]
[ROW][C]18[/C][C]11[/C][C]10.2744[/C][C]0.725607[/C][/ROW]
[ROW][C]19[/C][C]10[/C][C]13.076[/C][C]-3.076[/C][/ROW]
[ROW][C]20[/C][C]13[/C][C]14.6146[/C][C]-1.61456[/C][/ROW]
[ROW][C]21[/C][C]9.5[/C][C]13.7544[/C][C]-4.25442[/C][/ROW]
[ROW][C]22[/C][C]14[/C][C]13.5879[/C][C]0.412146[/C][/ROW]
[ROW][C]23[/C][C]12[/C][C]13.7745[/C][C]-1.77453[/C][/ROW]
[ROW][C]24[/C][C]14[/C][C]14.4454[/C][C]-0.445432[/C][/ROW]
[ROW][C]25[/C][C]11[/C][C]11.1092[/C][C]-0.109184[/C][/ROW]
[ROW][C]26[/C][C]9[/C][C]11.5553[/C][C]-2.55526[/C][/ROW]
[ROW][C]27[/C][C]11[/C][C]12.5601[/C][C]-1.56011[/C][/ROW]
[ROW][C]28[/C][C]15[/C][C]13.5432[/C][C]1.45676[/C][/ROW]
[ROW][C]29[/C][C]14[/C][C]12.4824[/C][C]1.51759[/C][/ROW]
[ROW][C]30[/C][C]13[/C][C]14.0294[/C][C]-1.0294[/C][/ROW]
[ROW][C]31[/C][C]9[/C][C]12.6346[/C][C]-3.63456[/C][/ROW]
[ROW][C]32[/C][C]15[/C][C]16.2444[/C][C]-1.24435[/C][/ROW]
[ROW][C]33[/C][C]10[/C][C]13.459[/C][C]-3.459[/C][/ROW]
[ROW][C]34[/C][C]11[/C][C]11.8298[/C][C]-0.829821[/C][/ROW]
[ROW][C]35[/C][C]13[/C][C]13.2822[/C][C]-0.282201[/C][/ROW]
[ROW][C]36[/C][C]8[/C][C]14.7632[/C][C]-6.76321[/C][/ROW]
[ROW][C]37[/C][C]20[/C][C]15.6727[/C][C]4.32735[/C][/ROW]
[ROW][C]38[/C][C]12[/C][C]13.4597[/C][C]-1.45966[/C][/ROW]
[ROW][C]39[/C][C]10[/C][C]12.973[/C][C]-2.97302[/C][/ROW]
[ROW][C]40[/C][C]10[/C][C]13.3106[/C][C]-3.31065[/C][/ROW]
[ROW][C]41[/C][C]9[/C][C]12.6999[/C][C]-3.69992[/C][/ROW]
[ROW][C]42[/C][C]14[/C][C]13.1823[/C][C]0.817661[/C][/ROW]
[ROW][C]43[/C][C]8[/C][C]13.547[/C][C]-5.54696[/C][/ROW]
[ROW][C]44[/C][C]14[/C][C]15.4514[/C][C]-1.45135[/C][/ROW]
[ROW][C]45[/C][C]11[/C][C]13.5988[/C][C]-2.59881[/C][/ROW]
[ROW][C]46[/C][C]13[/C][C]14.3901[/C][C]-1.39011[/C][/ROW]
[ROW][C]47[/C][C]9[/C][C]13.9034[/C][C]-4.90344[/C][/ROW]
[ROW][C]48[/C][C]11[/C][C]13.0381[/C][C]-2.03812[/C][/ROW]
[ROW][C]49[/C][C]15[/C][C]12.7277[/C][C]2.27228[/C][/ROW]
[ROW][C]50[/C][C]11[/C][C]12.9476[/C][C]-1.94765[/C][/ROW]
[ROW][C]51[/C][C]10[/C][C]13.0742[/C][C]-3.0742[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]14.1481[/C][C]-0.148086[/C][/ROW]
[ROW][C]53[/C][C]18[/C][C]14.947[/C][C]3.05299[/C][/ROW]
[ROW][C]54[/C][C]14[/C][C]13.9725[/C][C]0.0275139[/C][/ROW]
[ROW][C]55[/C][C]11[/C][C]15.8419[/C][C]-4.84194[/C][/ROW]
[ROW][C]56[/C][C]14.5[/C][C]13.0786[/C][C]1.42141[/C][/ROW]
[ROW][C]57[/C][C]13[/C][C]12.5243[/C][C]0.475727[/C][/ROW]
[ROW][C]58[/C][C]9[/C][C]13.803[/C][C]-4.80296[/C][/ROW]
[ROW][C]59[/C][C]10[/C][C]12.9997[/C][C]-2.99971[/C][/ROW]
[ROW][C]60[/C][C]15[/C][C]13.2116[/C][C]1.78845[/C][/ROW]
[ROW][C]61[/C][C]20[/C][C]16.197[/C][C]3.80303[/C][/ROW]
[ROW][C]62[/C][C]12[/C][C]12.2869[/C][C]-0.286897[/C][/ROW]
[ROW][C]63[/C][C]12[/C][C]12.1681[/C][C]-0.168098[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]15.657[/C][C]-1.65699[/C][/ROW]
[ROW][C]65[/C][C]13[/C][C]14.7936[/C][C]-1.79355[/C][/ROW]
[ROW][C]66[/C][C]11[/C][C]11.906[/C][C]-0.905959[/C][/ROW]
[ROW][C]67[/C][C]17[/C][C]12.97[/C][C]4.02999[/C][/ROW]
[ROW][C]68[/C][C]12[/C][C]12.7207[/C][C]-0.720695[/C][/ROW]
[ROW][C]69[/C][C]13[/C][C]14.533[/C][C]-1.53295[/C][/ROW]
[ROW][C]70[/C][C]14[/C][C]13.2518[/C][C]0.748229[/C][/ROW]
[ROW][C]71[/C][C]13[/C][C]14.7756[/C][C]-1.77564[/C][/ROW]
[ROW][C]72[/C][C]15[/C][C]15.4584[/C][C]-0.458411[/C][/ROW]
[ROW][C]73[/C][C]13[/C][C]11.6053[/C][C]1.3947[/C][/ROW]
[ROW][C]74[/C][C]10[/C][C]12.554[/C][C]-2.55403[/C][/ROW]
[ROW][C]75[/C][C]11[/C][C]11.8336[/C][C]-0.833646[/C][/ROW]
[ROW][C]76[/C][C]19[/C][C]11.7883[/C][C]7.21174[/C][/ROW]
[ROW][C]77[/C][C]13[/C][C]13.0068[/C][C]-0.00684725[/C][/ROW]
[ROW][C]78[/C][C]17[/C][C]13.3415[/C][C]3.65849[/C][/ROW]
[ROW][C]79[/C][C]13[/C][C]13.5696[/C][C]-0.569563[/C][/ROW]
[ROW][C]80[/C][C]9[/C][C]14.6188[/C][C]-5.61878[/C][/ROW]
[ROW][C]81[/C][C]11[/C][C]12.3825[/C][C]-1.38254[/C][/ROW]
[ROW][C]82[/C][C]9[/C][C]13.0543[/C][C]-4.05434[/C][/ROW]
[ROW][C]83[/C][C]12[/C][C]12.9722[/C][C]-0.972185[/C][/ROW]
[ROW][C]84[/C][C]12[/C][C]13.393[/C][C]-1.39303[/C][/ROW]
[ROW][C]85[/C][C]13[/C][C]12.6392[/C][C]0.360768[/C][/ROW]
[ROW][C]86[/C][C]13[/C][C]13.031[/C][C]-0.0309901[/C][/ROW]
[ROW][C]87[/C][C]12[/C][C]13.3705[/C][C]-1.37046[/C][/ROW]
[ROW][C]88[/C][C]15[/C][C]15.087[/C][C]-0.087012[/C][/ROW]
[ROW][C]89[/C][C]22[/C][C]13.5034[/C][C]8.4966[/C][/ROW]
[ROW][C]90[/C][C]13[/C][C]14.1035[/C][C]-1.1035[/C][/ROW]
[ROW][C]91[/C][C]15[/C][C]14.3583[/C][C]0.641663[/C][/ROW]
[ROW][C]92[/C][C]13[/C][C]12.4605[/C][C]0.539475[/C][/ROW]
[ROW][C]93[/C][C]15[/C][C]12.3795[/C][C]2.62049[/C][/ROW]
[ROW][C]94[/C][C]12.5[/C][C]13.215[/C][C]-0.715034[/C][/ROW]
[ROW][C]95[/C][C]11[/C][C]11.9886[/C][C]-0.988566[/C][/ROW]
[ROW][C]96[/C][C]16[/C][C]13.1063[/C][C]2.89367[/C][/ROW]
[ROW][C]97[/C][C]11[/C][C]12.4517[/C][C]-1.45165[/C][/ROW]
[ROW][C]98[/C][C]11[/C][C]11.9508[/C][C]-0.950807[/C][/ROW]
[ROW][C]99[/C][C]10[/C][C]13.2574[/C][C]-3.25736[/C][/ROW]
[ROW][C]100[/C][C]10[/C][C]12.3275[/C][C]-2.3275[/C][/ROW]
[ROW][C]101[/C][C]16[/C][C]12.7688[/C][C]3.23119[/C][/ROW]
[ROW][C]102[/C][C]12[/C][C]10.6024[/C][C]1.39756[/C][/ROW]
[ROW][C]103[/C][C]11[/C][C]13.9876[/C][C]-2.98761[/C][/ROW]
[ROW][C]104[/C][C]16[/C][C]12.4101[/C][C]3.58993[/C][/ROW]
[ROW][C]105[/C][C]19[/C][C]13.7524[/C][C]5.24761[/C][/ROW]
[ROW][C]106[/C][C]11[/C][C]12.154[/C][C]-1.15395[/C][/ROW]
[ROW][C]107[/C][C]16[/C][C]12.701[/C][C]3.29903[/C][/ROW]
[ROW][C]108[/C][C]15[/C][C]14.7032[/C][C]0.29684[/C][/ROW]
[ROW][C]109[/C][C]24[/C][C]16.1186[/C][C]7.88137[/C][/ROW]
[ROW][C]110[/C][C]14[/C][C]11.9673[/C][C]2.03267[/C][/ROW]
[ROW][C]111[/C][C]15[/C][C]12.9375[/C][C]2.06254[/C][/ROW]
[ROW][C]112[/C][C]11[/C][C]11.3484[/C][C]-0.348363[/C][/ROW]
[ROW][C]113[/C][C]15[/C][C]17.2123[/C][C]-2.21227[/C][/ROW]
[ROW][C]114[/C][C]12[/C][C]13.4268[/C][C]-1.42684[/C][/ROW]
[ROW][C]115[/C][C]10[/C][C]10.9668[/C][C]-0.966769[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]15.2828[/C][C]-1.28276[/C][/ROW]
[ROW][C]117[/C][C]13[/C][C]14.0841[/C][C]-1.08407[/C][/ROW]
[ROW][C]118[/C][C]9[/C][C]14.0926[/C][C]-5.09258[/C][/ROW]
[ROW][C]119[/C][C]15[/C][C]11.0028[/C][C]3.99716[/C][/ROW]
[ROW][C]120[/C][C]15[/C][C]15.5725[/C][C]-0.572535[/C][/ROW]
[ROW][C]121[/C][C]14[/C][C]12.771[/C][C]1.22901[/C][/ROW]
[ROW][C]122[/C][C]11[/C][C]11.7942[/C][C]-0.794246[/C][/ROW]
[ROW][C]123[/C][C]8[/C][C]12.3855[/C][C]-4.3855[/C][/ROW]
[ROW][C]124[/C][C]11[/C][C]13.003[/C][C]-2.00305[/C][/ROW]
[ROW][C]125[/C][C]11[/C][C]12.4152[/C][C]-1.41521[/C][/ROW]
[ROW][C]126[/C][C]8[/C][C]11.2342[/C][C]-3.23423[/C][/ROW]
[ROW][C]127[/C][C]10[/C][C]12.0259[/C][C]-2.02591[/C][/ROW]
[ROW][C]128[/C][C]11[/C][C]12.5024[/C][C]-1.50241[/C][/ROW]
[ROW][C]129[/C][C]13[/C][C]13.9109[/C][C]-0.910945[/C][/ROW]
[ROW][C]130[/C][C]11[/C][C]13.2895[/C][C]-2.28952[/C][/ROW]
[ROW][C]131[/C][C]20[/C][C]15.3775[/C][C]4.62245[/C][/ROW]
[ROW][C]132[/C][C]10[/C][C]12.2829[/C][C]-2.28291[/C][/ROW]
[ROW][C]133[/C][C]15[/C][C]15.0732[/C][C]-0.0732404[/C][/ROW]
[ROW][C]134[/C][C]12[/C][C]13.1028[/C][C]-1.10284[/C][/ROW]
[ROW][C]135[/C][C]14[/C][C]12.083[/C][C]1.91702[/C][/ROW]
[ROW][C]136[/C][C]23[/C][C]15.9295[/C][C]7.07054[/C][/ROW]
[ROW][C]137[/C][C]14[/C][C]14.1635[/C][C]-0.163544[/C][/ROW]
[ROW][C]138[/C][C]16[/C][C]16.2408[/C][C]-0.240835[/C][/ROW]
[ROW][C]139[/C][C]11[/C][C]14.7863[/C][C]-3.7863[/C][/ROW]
[ROW][C]140[/C][C]12[/C][C]14.73[/C][C]-2.73002[/C][/ROW]
[ROW][C]141[/C][C]10[/C][C]15.0246[/C][C]-5.02463[/C][/ROW]
[ROW][C]142[/C][C]14[/C][C]12.3822[/C][C]1.61781[/C][/ROW]
[ROW][C]143[/C][C]12[/C][C]11.5509[/C][C]0.449068[/C][/ROW]
[ROW][C]144[/C][C]12[/C][C]12.7312[/C][C]-0.731156[/C][/ROW]
[ROW][C]145[/C][C]11[/C][C]12.4883[/C][C]-1.4883[/C][/ROW]
[ROW][C]146[/C][C]12[/C][C]12.2497[/C][C]-0.249669[/C][/ROW]
[ROW][C]147[/C][C]13[/C][C]14.7757[/C][C]-1.77565[/C][/ROW]
[ROW][C]148[/C][C]11[/C][C]12.8381[/C][C]-1.83808[/C][/ROW]
[ROW][C]149[/C][C]19[/C][C]13.6387[/C][C]5.36132[/C][/ROW]
[ROW][C]150[/C][C]12[/C][C]13.0263[/C][C]-1.0263[/C][/ROW]
[ROW][C]151[/C][C]17[/C][C]12.0559[/C][C]4.94415[/C][/ROW]
[ROW][C]152[/C][C]9[/C][C]13.1987[/C][C]-4.19875[/C][/ROW]
[ROW][C]153[/C][C]12[/C][C]13.1269[/C][C]-1.1269[/C][/ROW]
[ROW][C]154[/C][C]19[/C][C]13.6539[/C][C]5.34614[/C][/ROW]
[ROW][C]155[/C][C]18[/C][C]13.9855[/C][C]4.01447[/C][/ROW]
[ROW][C]156[/C][C]15[/C][C]14.3583[/C][C]0.641663[/C][/ROW]
[ROW][C]157[/C][C]14[/C][C]14.2939[/C][C]-0.29395[/C][/ROW]
[ROW][C]158[/C][C]11[/C][C]12.5024[/C][C]-1.50241[/C][/ROW]
[ROW][C]159[/C][C]9[/C][C]11.8604[/C][C]-2.86041[/C][/ROW]
[ROW][C]160[/C][C]18[/C][C]12.9868[/C][C]5.01322[/C][/ROW]
[ROW][C]161[/C][C]16[/C][C]14.1194[/C][C]1.88055[/C][/ROW]
[ROW][C]162[/C][C]24[/C][C]14.7735[/C][C]9.22655[/C][/ROW]
[ROW][C]163[/C][C]14[/C][C]13.3463[/C][C]0.653717[/C][/ROW]
[ROW][C]164[/C][C]20[/C][C]11.5051[/C][C]8.49492[/C][/ROW]
[ROW][C]165[/C][C]18[/C][C]13.3023[/C][C]4.69774[/C][/ROW]
[ROW][C]166[/C][C]23[/C][C]16.884[/C][C]6.11602[/C][/ROW]
[ROW][C]167[/C][C]12[/C][C]13.1499[/C][C]-1.14994[/C][/ROW]
[ROW][C]168[/C][C]14[/C][C]14.4481[/C][C]-0.448096[/C][/ROW]
[ROW][C]169[/C][C]16[/C][C]12.7207[/C][C]3.2793[/C][/ROW]
[ROW][C]170[/C][C]18[/C][C]13.3271[/C][C]4.67294[/C][/ROW]
[ROW][C]171[/C][C]20[/C][C]15.6444[/C][C]4.35564[/C][/ROW]
[ROW][C]172[/C][C]12[/C][C]12.8969[/C][C]-0.896859[/C][/ROW]
[ROW][C]173[/C][C]12[/C][C]12.994[/C][C]-0.993956[/C][/ROW]
[ROW][C]174[/C][C]17[/C][C]16.3584[/C][C]0.641568[/C][/ROW]
[ROW][C]175[/C][C]13[/C][C]13.8254[/C][C]-0.825416[/C][/ROW]
[ROW][C]176[/C][C]9[/C][C]12.8004[/C][C]-3.80036[/C][/ROW]
[ROW][C]177[/C][C]16[/C][C]14.2743[/C][C]1.72571[/C][/ROW]
[ROW][C]178[/C][C]18[/C][C]14.5594[/C][C]3.44058[/C][/ROW]
[ROW][C]179[/C][C]10[/C][C]14.2065[/C][C]-4.20647[/C][/ROW]
[ROW][C]180[/C][C]14[/C][C]13.593[/C][C]0.406973[/C][/ROW]
[ROW][C]181[/C][C]11[/C][C]14.6741[/C][C]-3.6741[/C][/ROW]
[ROW][C]182[/C][C]9[/C][C]14.7803[/C][C]-5.78031[/C][/ROW]
[ROW][C]183[/C][C]11[/C][C]12.6087[/C][C]-1.60866[/C][/ROW]
[ROW][C]184[/C][C]10[/C][C]12.2228[/C][C]-2.2228[/C][/ROW]
[ROW][C]185[/C][C]11[/C][C]13.8951[/C][C]-2.89514[/C][/ROW]
[ROW][C]186[/C][C]19[/C][C]12.7375[/C][C]6.26254[/C][/ROW]
[ROW][C]187[/C][C]14[/C][C]12.498[/C][C]1.50203[/C][/ROW]
[ROW][C]188[/C][C]12[/C][C]12.3106[/C][C]-0.31061[/C][/ROW]
[ROW][C]189[/C][C]14[/C][C]16.4471[/C][C]-2.44707[/C][/ROW]
[ROW][C]190[/C][C]21[/C][C]15.5753[/C][C]5.42472[/C][/ROW]
[ROW][C]191[/C][C]13[/C][C]16.9512[/C][C]-3.95117[/C][/ROW]
[ROW][C]192[/C][C]10[/C][C]12.482[/C][C]-2.48203[/C][/ROW]
[ROW][C]193[/C][C]15[/C][C]14.6128[/C][C]0.387223[/C][/ROW]
[ROW][C]194[/C][C]16[/C][C]13.9714[/C][C]2.02855[/C][/ROW]
[ROW][C]195[/C][C]14[/C][C]13.885[/C][C]0.114974[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]13.2664[/C][C]-1.26642[/C][/ROW]
[ROW][C]197[/C][C]19[/C][C]12.4117[/C][C]6.58829[/C][/ROW]
[ROW][C]198[/C][C]15[/C][C]11.5924[/C][C]3.40755[/C][/ROW]
[ROW][C]199[/C][C]19[/C][C]14.6104[/C][C]4.38958[/C][/ROW]
[ROW][C]200[/C][C]13[/C][C]12.9929[/C][C]0.00711868[/C][/ROW]
[ROW][C]201[/C][C]17[/C][C]13.5483[/C][C]3.45171[/C][/ROW]
[ROW][C]202[/C][C]12[/C][C]14.4208[/C][C]-2.4208[/C][/ROW]
[ROW][C]203[/C][C]11[/C][C]13.963[/C][C]-2.96296[/C][/ROW]
[ROW][C]204[/C][C]14[/C][C]15.7183[/C][C]-1.71829[/C][/ROW]
[ROW][C]205[/C][C]11[/C][C]13.4203[/C][C]-2.42028[/C][/ROW]
[ROW][C]206[/C][C]13[/C][C]13.0773[/C][C]-0.0773007[/C][/ROW]
[ROW][C]207[/C][C]12[/C][C]11.701[/C][C]0.298989[/C][/ROW]
[ROW][C]208[/C][C]15[/C][C]14.9303[/C][C]0.0696983[/C][/ROW]
[ROW][C]209[/C][C]14[/C][C]14.3096[/C][C]-0.309557[/C][/ROW]
[ROW][C]210[/C][C]12[/C][C]12.12[/C][C]-0.119975[/C][/ROW]
[ROW][C]211[/C][C]17[/C][C]14.7308[/C][C]2.26924[/C][/ROW]
[ROW][C]212[/C][C]11[/C][C]12.3409[/C][C]-1.34088[/C][/ROW]
[ROW][C]213[/C][C]18[/C][C]11.9104[/C][C]6.0896[/C][/ROW]
[ROW][C]214[/C][C]13[/C][C]12.9063[/C][C]0.0936504[/C][/ROW]
[ROW][C]215[/C][C]17[/C][C]13.45[/C][C]3.55003[/C][/ROW]
[ROW][C]216[/C][C]13[/C][C]14.5825[/C][C]-1.5825[/C][/ROW]
[ROW][C]217[/C][C]11[/C][C]11.588[/C][C]-0.588034[/C][/ROW]
[ROW][C]218[/C][C]12[/C][C]12.1557[/C][C]-0.155745[/C][/ROW]
[ROW][C]219[/C][C]22[/C][C]14.792[/C][C]7.20799[/C][/ROW]
[ROW][C]220[/C][C]14[/C][C]12.1402[/C][C]1.85977[/C][/ROW]
[ROW][C]221[/C][C]12[/C][C]13.2561[/C][C]-1.25614[/C][/ROW]
[ROW][C]222[/C][C]12[/C][C]14.6816[/C][C]-2.68161[/C][/ROW]
[ROW][C]223[/C][C]17[/C][C]13.3064[/C][C]3.69364[/C][/ROW]
[ROW][C]224[/C][C]9[/C][C]14.2037[/C][C]-5.20375[/C][/ROW]
[ROW][C]225[/C][C]21[/C][C]17.1509[/C][C]3.84907[/C][/ROW]
[ROW][C]226[/C][C]10[/C][C]14.5623[/C][C]-4.56229[/C][/ROW]
[ROW][C]227[/C][C]11[/C][C]15.4894[/C][C]-4.48938[/C][/ROW]
[ROW][C]228[/C][C]12[/C][C]14.5113[/C][C]-2.51132[/C][/ROW]
[ROW][C]229[/C][C]23[/C][C]14.8506[/C][C]8.14937[/C][/ROW]
[ROW][C]230[/C][C]13[/C][C]14.2237[/C][C]-1.22372[/C][/ROW]
[ROW][C]231[/C][C]12[/C][C]13.9817[/C][C]-1.98166[/C][/ROW]
[ROW][C]232[/C][C]16[/C][C]15.0114[/C][C]0.988628[/C][/ROW]
[ROW][C]233[/C][C]9[/C][C]14.6871[/C][C]-5.68712[/C][/ROW]
[ROW][C]234[/C][C]17[/C][C]12.0846[/C][C]4.91536[/C][/ROW]
[ROW][C]235[/C][C]9[/C][C]13.7675[/C][C]-4.76749[/C][/ROW]
[ROW][C]236[/C][C]14[/C][C]14.3103[/C][C]-0.310322[/C][/ROW]
[ROW][C]237[/C][C]17[/C][C]15.3933[/C][C]1.60671[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]15.7662[/C][C]-2.76624[/C][/ROW]
[ROW][C]239[/C][C]11[/C][C]13.3105[/C][C]-2.31053[/C][/ROW]
[ROW][C]240[/C][C]12[/C][C]14.3718[/C][C]-2.3718[/C][/ROW]
[ROW][C]241[/C][C]10[/C][C]12.8881[/C][C]-2.88806[/C][/ROW]
[ROW][C]242[/C][C]19[/C][C]15.7858[/C][C]3.21424[/C][/ROW]
[ROW][C]243[/C][C]16[/C][C]16.3982[/C][C]-0.39818[/C][/ROW]
[ROW][C]244[/C][C]16[/C][C]14.4153[/C][C]1.58468[/C][/ROW]
[ROW][C]245[/C][C]14[/C][C]12.1419[/C][C]1.85814[/C][/ROW]
[ROW][C]246[/C][C]20[/C][C]14.645[/C][C]5.35505[/C][/ROW]
[ROW][C]247[/C][C]15[/C][C]14.0761[/C][C]0.923868[/C][/ROW]
[ROW][C]248[/C][C]23[/C][C]17.1365[/C][C]5.86353[/C][/ROW]
[ROW][C]249[/C][C]20[/C][C]16.5213[/C][C]3.47872[/C][/ROW]
[ROW][C]250[/C][C]16[/C][C]16.6716[/C][C]-0.671596[/C][/ROW]
[ROW][C]251[/C][C]14[/C][C]14.689[/C][C]-0.689035[/C][/ROW]
[ROW][C]252[/C][C]17[/C][C]14.0138[/C][C]2.98617[/C][/ROW]
[ROW][C]253[/C][C]11[/C][C]14.0939[/C][C]-3.09387[/C][/ROW]
[ROW][C]254[/C][C]13[/C][C]13.1611[/C][C]-0.161095[/C][/ROW]
[ROW][C]255[/C][C]17[/C][C]14.2169[/C][C]2.78306[/C][/ROW]
[ROW][C]256[/C][C]15[/C][C]14.0007[/C][C]0.999271[/C][/ROW]
[ROW][C]257[/C][C]21[/C][C]12.6595[/C][C]8.34052[/C][/ROW]
[ROW][C]258[/C][C]18[/C][C]14.757[/C][C]3.24299[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]14.0553[/C][C]0.94468[/C][/ROW]
[ROW][C]260[/C][C]8[/C][C]14.9058[/C][C]-6.90584[/C][/ROW]
[ROW][C]261[/C][C]12[/C][C]14.4781[/C][C]-2.47812[/C][/ROW]
[ROW][C]262[/C][C]12[/C][C]14.5653[/C][C]-2.56526[/C][/ROW]
[ROW][C]263[/C][C]22[/C][C]14.9491[/C][C]7.05093[/C][/ROW]
[ROW][C]264[/C][C]12[/C][C]13.8587[/C][C]-1.85873[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=251376&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=251376&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
11215.172-3.17205
21111.6653-0.66528
31413.06270.937333
41214.0891-2.08912
52113.05347.94658
61213.1176-1.11758
72213.90468.09541
81112.399-1.39899
91013.1628-3.16275
101312.76010.239852
111012.148-2.14796
12814.6749-6.67487
131513.27371.72634
141414.5257-0.525707
151011.2751-1.27515
161414.7467-0.746745
171412.89131.10875
181110.27440.725607
191013.076-3.076
201314.6146-1.61456
219.513.7544-4.25442
221413.58790.412146
231213.7745-1.77453
241414.4454-0.445432
251111.1092-0.109184
26911.5553-2.55526
271112.5601-1.56011
281513.54321.45676
291412.48241.51759
301314.0294-1.0294
31912.6346-3.63456
321516.2444-1.24435
331013.459-3.459
341111.8298-0.829821
351313.2822-0.282201
36814.7632-6.76321
372015.67274.32735
381213.4597-1.45966
391012.973-2.97302
401013.3106-3.31065
41912.6999-3.69992
421413.18230.817661
43813.547-5.54696
441415.4514-1.45135
451113.5988-2.59881
461314.3901-1.39011
47913.9034-4.90344
481113.0381-2.03812
491512.72772.27228
501112.9476-1.94765
511013.0742-3.0742
521414.1481-0.148086
531814.9473.05299
541413.97250.0275139
551115.8419-4.84194
5614.513.07861.42141
571312.52430.475727
58913.803-4.80296
591012.9997-2.99971
601513.21161.78845
612016.1973.80303
621212.2869-0.286897
631212.1681-0.168098
641415.657-1.65699
651314.7936-1.79355
661111.906-0.905959
671712.974.02999
681212.7207-0.720695
691314.533-1.53295
701413.25180.748229
711314.7756-1.77564
721515.4584-0.458411
731311.60531.3947
741012.554-2.55403
751111.8336-0.833646
761911.78837.21174
771313.0068-0.00684725
781713.34153.65849
791313.5696-0.569563
80914.6188-5.61878
811112.3825-1.38254
82913.0543-4.05434
831212.9722-0.972185
841213.393-1.39303
851312.63920.360768
861313.031-0.0309901
871213.3705-1.37046
881515.087-0.087012
892213.50348.4966
901314.1035-1.1035
911514.35830.641663
921312.46050.539475
931512.37952.62049
9412.513.215-0.715034
951111.9886-0.988566
961613.10632.89367
971112.4517-1.45165
981111.9508-0.950807
991013.2574-3.25736
1001012.3275-2.3275
1011612.76883.23119
1021210.60241.39756
1031113.9876-2.98761
1041612.41013.58993
1051913.75245.24761
1061112.154-1.15395
1071612.7013.29903
1081514.70320.29684
1092416.11867.88137
1101411.96732.03267
1111512.93752.06254
1121111.3484-0.348363
1131517.2123-2.21227
1141213.4268-1.42684
1151010.9668-0.966769
1161415.2828-1.28276
1171314.0841-1.08407
118914.0926-5.09258
1191511.00283.99716
1201515.5725-0.572535
1211412.7711.22901
1221111.7942-0.794246
123812.3855-4.3855
1241113.003-2.00305
1251112.4152-1.41521
126811.2342-3.23423
1271012.0259-2.02591
1281112.5024-1.50241
1291313.9109-0.910945
1301113.2895-2.28952
1312015.37754.62245
1321012.2829-2.28291
1331515.0732-0.0732404
1341213.1028-1.10284
1351412.0831.91702
1362315.92957.07054
1371414.1635-0.163544
1381616.2408-0.240835
1391114.7863-3.7863
1401214.73-2.73002
1411015.0246-5.02463
1421412.38221.61781
1431211.55090.449068
1441212.7312-0.731156
1451112.4883-1.4883
1461212.2497-0.249669
1471314.7757-1.77565
1481112.8381-1.83808
1491913.63875.36132
1501213.0263-1.0263
1511712.05594.94415
152913.1987-4.19875
1531213.1269-1.1269
1541913.65395.34614
1551813.98554.01447
1561514.35830.641663
1571414.2939-0.29395
1581112.5024-1.50241
159911.8604-2.86041
1601812.98685.01322
1611614.11941.88055
1622414.77359.22655
1631413.34630.653717
1642011.50518.49492
1651813.30234.69774
1662316.8846.11602
1671213.1499-1.14994
1681414.4481-0.448096
1691612.72073.2793
1701813.32714.67294
1712015.64444.35564
1721212.8969-0.896859
1731212.994-0.993956
1741716.35840.641568
1751313.8254-0.825416
176912.8004-3.80036
1771614.27431.72571
1781814.55943.44058
1791014.2065-4.20647
1801413.5930.406973
1811114.6741-3.6741
182914.7803-5.78031
1831112.6087-1.60866
1841012.2228-2.2228
1851113.8951-2.89514
1861912.73756.26254
1871412.4981.50203
1881212.3106-0.31061
1891416.4471-2.44707
1902115.57535.42472
1911316.9512-3.95117
1921012.482-2.48203
1931514.61280.387223
1941613.97142.02855
1951413.8850.114974
1961213.2664-1.26642
1971912.41176.58829
1981511.59243.40755
1991914.61044.38958
2001312.99290.00711868
2011713.54833.45171
2021214.4208-2.4208
2031113.963-2.96296
2041415.7183-1.71829
2051113.4203-2.42028
2061313.0773-0.0773007
2071211.7010.298989
2081514.93030.0696983
2091414.3096-0.309557
2101212.12-0.119975
2111714.73082.26924
2121112.3409-1.34088
2131811.91046.0896
2141312.90630.0936504
2151713.453.55003
2161314.5825-1.5825
2171111.588-0.588034
2181212.1557-0.155745
2192214.7927.20799
2201412.14021.85977
2211213.2561-1.25614
2221214.6816-2.68161
2231713.30643.69364
224914.2037-5.20375
2252117.15093.84907
2261014.5623-4.56229
2271115.4894-4.48938
2281214.5113-2.51132
2292314.85068.14937
2301314.2237-1.22372
2311213.9817-1.98166
2321615.01140.988628
233914.6871-5.68712
2341712.08464.91536
235913.7675-4.76749
2361414.3103-0.310322
2371715.39331.60671
2381315.7662-2.76624
2391113.3105-2.31053
2401214.3718-2.3718
2411012.8881-2.88806
2421915.78583.21424
2431616.3982-0.39818
2441614.41531.58468
2451412.14191.85814
2462014.6455.35505
2471514.07610.923868
2482317.13655.86353
2492016.52133.47872
2501616.6716-0.671596
2511414.689-0.689035
2521714.01382.98617
2531114.0939-3.09387
2541313.1611-0.161095
2551714.21692.78306
2561514.00070.999271
2572112.65958.34052
2581814.7573.24299
2591514.05530.94468
260814.9058-6.90584
2611214.4781-2.47812
2621214.5653-2.56526
2632214.94917.05093
2641213.8587-1.85873






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.9885840.02283210.011416
100.9751210.04975760.0248788
110.9625580.07488440.0374422
120.9898740.02025110.0101255
130.9819130.03617420.0180871
140.968670.06265930.0313296
150.9631780.07364420.0368221
160.9424420.1151150.0575577
170.9201440.1597130.0798564
180.8932610.2134770.106739
190.8858460.2283080.114154
200.8530010.2939980.146999
210.8534550.293090.146545
220.8105940.3788130.189406
230.7747680.4504640.225232
240.7272850.545430.272715
250.6736030.6527940.326397
260.6638360.6723290.336164
270.6063110.7873780.393689
280.5632910.8734180.436709
290.5163910.9672190.483609
300.4551290.9102590.544871
310.4593270.9186540.540673
320.4052750.810550.594725
330.3765710.7531420.623429
340.3235580.6471170.676442
350.2751520.5503040.724848
360.2992010.5984020.700799
370.4610790.9221580.538921
380.4109120.8218240.589088
390.3875670.7751340.612433
400.3635640.7271280.636436
410.3455140.6910290.654486
420.3075360.6150710.692464
430.4071060.8142110.592894
440.3608760.7217530.639124
450.3220580.6441160.677942
460.2814630.5629260.718537
470.319660.639320.68034
480.284770.5695390.71523
490.2831920.5663830.716808
500.2481790.4963580.751821
510.2462480.4924950.753752
520.2147220.4294450.785278
530.2315230.4630460.768477
540.1985130.3970260.801487
550.195490.3909810.80451
560.2010970.4021940.798903
570.1768450.3536910.823155
580.2048710.4097420.795129
590.1902830.3805670.809717
600.184380.3687590.81562
610.2371650.474330.762835
620.2063070.4126140.793693
630.1771170.3542340.822883
640.1532340.3064680.846766
650.1330710.2661420.866929
660.1119910.2239830.888009
670.1352960.2705910.864704
680.114250.2285010.88575
690.09647830.1929570.903522
700.08290220.1658040.917098
710.06930310.1386060.930697
720.05676150.1135230.943238
730.04830460.09660920.951695
740.04380260.08760520.956197
750.03530730.07061450.964693
760.1007250.2014490.899275
770.08486040.1697210.91514
780.09489260.1897850.905107
790.0791520.1583040.920848
800.1079960.2159910.892004
810.09315560.1863110.906844
820.1000240.2000480.899976
830.08469140.1693830.915309
840.07199510.143990.928005
850.05984820.1196960.940152
860.0496890.0993780.950311
870.04157430.08314850.958426
880.0341460.06829210.965854
890.1291620.2583240.870838
900.110850.22170.88915
910.09665010.19330.90335
920.082560.165120.91744
930.07793190.1558640.922068
940.06542890.1308580.934571
950.05486090.1097220.945139
960.05551420.1110280.944486
970.04734350.09468710.952656
980.03939890.07879770.960601
990.038220.07644010.96178
1000.03456920.06913830.965431
1010.03667240.07334470.963328
1020.03035730.06071470.969643
1030.02921640.05843280.970784
1040.03170260.06340510.968297
1050.05102290.1020460.948977
1060.043290.086580.95671
1070.04509180.09018360.954908
1080.03781880.07563750.962181
1090.1034420.2068850.896558
1100.09582330.1916470.904177
1110.08888290.1777660.911117
1120.07531650.1506330.924683
1130.06753930.1350790.932461
1140.05808990.116180.94191
1150.04938490.09876980.950615
1160.04205470.08410950.957945
1170.03521160.07042310.964788
1180.04544640.09089280.954554
1190.04942150.09884290.950579
1200.04147030.08294070.95853
1210.03585890.07171780.964141
1220.02972980.05945960.97027
1230.03663510.07327020.963365
1240.03251320.06502640.967487
1250.02778170.05556350.972218
1260.02811270.05622550.971887
1270.02582650.0516530.974174
1280.02179150.04358310.978208
1290.01788590.03577170.982114
1300.01601870.03203740.983981
1310.02286320.04572630.977137
1320.02080680.04161360.979193
1330.01683810.03367620.983162
1340.01397720.02795440.986023
1350.01212350.02424690.987877
1360.02965220.05930450.970348
1370.02434820.04869650.975652
1380.01978830.03957660.980212
1390.02118930.04237870.978811
1400.01961490.03922970.980385
1410.02693550.05387090.973065
1420.02344980.04689950.97655
1430.01899120.03798250.981009
1440.01543530.03087070.984565
1450.01272910.02545830.987271
1460.01017170.02034340.989828
1470.008893660.01778730.991106
1480.007737070.01547410.992263
1490.01209880.02419750.987901
1500.009751240.01950250.990249
1510.01249840.02499680.987502
1520.01515160.03030310.984848
1530.01280590.02561180.987194
1540.01879350.0375870.981206
1550.02176220.04352450.978238
1560.01777230.03554460.982228
1570.01442940.02885890.985571
1580.01225560.02451120.987744
1590.01199290.02398590.988007
1600.01659860.03319730.983401
1610.01421940.02843870.985781
1620.06071640.1214330.939284
1630.05153370.1030670.948466
1640.1270880.2541760.872912
1650.1420330.2840670.857967
1660.2004840.4009680.799516
1670.1790830.3581660.820917
1680.158680.3173590.84132
1690.1560220.3120450.843978
1700.1758430.3516870.824157
1710.1886790.3773590.811321
1720.1694860.3389710.830514
1730.1503170.3006350.849683
1740.1330640.2661280.866936
1750.1150390.2300780.884961
1760.1249730.2499450.875027
1770.1103810.2207620.889619
1780.1139910.2279820.886009
1790.1274770.2549540.872523
1800.1088360.2176730.891164
1810.127370.2547390.87263
1820.1745780.3491560.825422
1830.1661120.3322240.833888
1840.1598520.3197040.840148
1850.1480420.2960850.851958
1860.1992430.3984850.800757
1870.1753240.3506480.824676
1880.1516720.3033440.848328
1890.1393250.278650.860675
1900.1805410.3610830.819459
1910.2194570.4389140.780543
1920.230410.460820.76959
1930.2027550.405510.797245
1940.1797540.3595080.820246
1950.1543870.3087750.845613
1960.1468650.2937310.853135
1970.2234230.4468470.776577
1980.2184830.4369660.781517
1990.2306380.4612770.769362
2000.2001980.4003960.799802
2010.1978640.3957280.802136
2020.1808140.3616280.819186
2030.1713510.3427030.828649
2040.167690.335380.83231
2050.1562680.3125350.843732
2060.1335260.2670520.866474
2070.1116370.2232740.888363
2080.102760.205520.89724
2090.08552190.1710440.914478
2100.06961230.1392250.930388
2110.05838990.116780.94161
2120.05769030.1153810.94231
2130.08757350.1751470.912427
2140.07303930.1460790.926961
2150.06588120.1317620.934119
2160.05389560.1077910.946104
2170.04249410.08498820.957506
2180.03300390.06600780.966996
2190.06203470.1240690.937965
2200.05065510.101310.949345
2210.04245130.08490260.957549
2220.05061020.101220.94939
2230.04855520.09711030.951445
2240.06342320.1268460.936577
2250.05345590.1069120.946544
2260.05821280.1164260.941787
2270.09181650.1836330.908183
2280.09392330.1878470.906077
2290.2051720.4103440.794828
2300.1798370.3596730.820163
2310.150480.300960.84952
2320.1220860.2441730.877914
2330.2916550.583310.708345
2340.305680.6113590.69432
2350.3697970.7395930.630203
2360.3128130.6256260.687187
2370.3684090.7368190.631591
2380.4442770.8885540.555723
2390.4489450.897890.551055
2400.407910.8158190.59209
2410.3463670.6927330.653633
2420.2929920.5859830.707008
2430.2401460.4802920.759854
2440.1921570.3843140.807843
2450.1600760.3201520.839924
2460.2254960.4509920.774504
2470.1688760.3377510.831124
2480.1288720.2577440.871128
2490.2034790.4069580.796521
2500.2323050.4646090.767695
2510.1645290.3290570.835471
2520.3016580.6033170.698342
2530.5925050.8149890.407495
2540.8922550.2154890.107745
2550.8370790.3258420.162921

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.988584 & 0.0228321 & 0.011416 \tabularnewline
10 & 0.975121 & 0.0497576 & 0.0248788 \tabularnewline
11 & 0.962558 & 0.0748844 & 0.0374422 \tabularnewline
12 & 0.989874 & 0.0202511 & 0.0101255 \tabularnewline
13 & 0.981913 & 0.0361742 & 0.0180871 \tabularnewline
14 & 0.96867 & 0.0626593 & 0.0313296 \tabularnewline
15 & 0.963178 & 0.0736442 & 0.0368221 \tabularnewline
16 & 0.942442 & 0.115115 & 0.0575577 \tabularnewline
17 & 0.920144 & 0.159713 & 0.0798564 \tabularnewline
18 & 0.893261 & 0.213477 & 0.106739 \tabularnewline
19 & 0.885846 & 0.228308 & 0.114154 \tabularnewline
20 & 0.853001 & 0.293998 & 0.146999 \tabularnewline
21 & 0.853455 & 0.29309 & 0.146545 \tabularnewline
22 & 0.810594 & 0.378813 & 0.189406 \tabularnewline
23 & 0.774768 & 0.450464 & 0.225232 \tabularnewline
24 & 0.727285 & 0.54543 & 0.272715 \tabularnewline
25 & 0.673603 & 0.652794 & 0.326397 \tabularnewline
26 & 0.663836 & 0.672329 & 0.336164 \tabularnewline
27 & 0.606311 & 0.787378 & 0.393689 \tabularnewline
28 & 0.563291 & 0.873418 & 0.436709 \tabularnewline
29 & 0.516391 & 0.967219 & 0.483609 \tabularnewline
30 & 0.455129 & 0.910259 & 0.544871 \tabularnewline
31 & 0.459327 & 0.918654 & 0.540673 \tabularnewline
32 & 0.405275 & 0.81055 & 0.594725 \tabularnewline
33 & 0.376571 & 0.753142 & 0.623429 \tabularnewline
34 & 0.323558 & 0.647117 & 0.676442 \tabularnewline
35 & 0.275152 & 0.550304 & 0.724848 \tabularnewline
36 & 0.299201 & 0.598402 & 0.700799 \tabularnewline
37 & 0.461079 & 0.922158 & 0.538921 \tabularnewline
38 & 0.410912 & 0.821824 & 0.589088 \tabularnewline
39 & 0.387567 & 0.775134 & 0.612433 \tabularnewline
40 & 0.363564 & 0.727128 & 0.636436 \tabularnewline
41 & 0.345514 & 0.691029 & 0.654486 \tabularnewline
42 & 0.307536 & 0.615071 & 0.692464 \tabularnewline
43 & 0.407106 & 0.814211 & 0.592894 \tabularnewline
44 & 0.360876 & 0.721753 & 0.639124 \tabularnewline
45 & 0.322058 & 0.644116 & 0.677942 \tabularnewline
46 & 0.281463 & 0.562926 & 0.718537 \tabularnewline
47 & 0.31966 & 0.63932 & 0.68034 \tabularnewline
48 & 0.28477 & 0.569539 & 0.71523 \tabularnewline
49 & 0.283192 & 0.566383 & 0.716808 \tabularnewline
50 & 0.248179 & 0.496358 & 0.751821 \tabularnewline
51 & 0.246248 & 0.492495 & 0.753752 \tabularnewline
52 & 0.214722 & 0.429445 & 0.785278 \tabularnewline
53 & 0.231523 & 0.463046 & 0.768477 \tabularnewline
54 & 0.198513 & 0.397026 & 0.801487 \tabularnewline
55 & 0.19549 & 0.390981 & 0.80451 \tabularnewline
56 & 0.201097 & 0.402194 & 0.798903 \tabularnewline
57 & 0.176845 & 0.353691 & 0.823155 \tabularnewline
58 & 0.204871 & 0.409742 & 0.795129 \tabularnewline
59 & 0.190283 & 0.380567 & 0.809717 \tabularnewline
60 & 0.18438 & 0.368759 & 0.81562 \tabularnewline
61 & 0.237165 & 0.47433 & 0.762835 \tabularnewline
62 & 0.206307 & 0.412614 & 0.793693 \tabularnewline
63 & 0.177117 & 0.354234 & 0.822883 \tabularnewline
64 & 0.153234 & 0.306468 & 0.846766 \tabularnewline
65 & 0.133071 & 0.266142 & 0.866929 \tabularnewline
66 & 0.111991 & 0.223983 & 0.888009 \tabularnewline
67 & 0.135296 & 0.270591 & 0.864704 \tabularnewline
68 & 0.11425 & 0.228501 & 0.88575 \tabularnewline
69 & 0.0964783 & 0.192957 & 0.903522 \tabularnewline
70 & 0.0829022 & 0.165804 & 0.917098 \tabularnewline
71 & 0.0693031 & 0.138606 & 0.930697 \tabularnewline
72 & 0.0567615 & 0.113523 & 0.943238 \tabularnewline
73 & 0.0483046 & 0.0966092 & 0.951695 \tabularnewline
74 & 0.0438026 & 0.0876052 & 0.956197 \tabularnewline
75 & 0.0353073 & 0.0706145 & 0.964693 \tabularnewline
76 & 0.100725 & 0.201449 & 0.899275 \tabularnewline
77 & 0.0848604 & 0.169721 & 0.91514 \tabularnewline
78 & 0.0948926 & 0.189785 & 0.905107 \tabularnewline
79 & 0.079152 & 0.158304 & 0.920848 \tabularnewline
80 & 0.107996 & 0.215991 & 0.892004 \tabularnewline
81 & 0.0931556 & 0.186311 & 0.906844 \tabularnewline
82 & 0.100024 & 0.200048 & 0.899976 \tabularnewline
83 & 0.0846914 & 0.169383 & 0.915309 \tabularnewline
84 & 0.0719951 & 0.14399 & 0.928005 \tabularnewline
85 & 0.0598482 & 0.119696 & 0.940152 \tabularnewline
86 & 0.049689 & 0.099378 & 0.950311 \tabularnewline
87 & 0.0415743 & 0.0831485 & 0.958426 \tabularnewline
88 & 0.034146 & 0.0682921 & 0.965854 \tabularnewline
89 & 0.129162 & 0.258324 & 0.870838 \tabularnewline
90 & 0.11085 & 0.2217 & 0.88915 \tabularnewline
91 & 0.0966501 & 0.1933 & 0.90335 \tabularnewline
92 & 0.08256 & 0.16512 & 0.91744 \tabularnewline
93 & 0.0779319 & 0.155864 & 0.922068 \tabularnewline
94 & 0.0654289 & 0.130858 & 0.934571 \tabularnewline
95 & 0.0548609 & 0.109722 & 0.945139 \tabularnewline
96 & 0.0555142 & 0.111028 & 0.944486 \tabularnewline
97 & 0.0473435 & 0.0946871 & 0.952656 \tabularnewline
98 & 0.0393989 & 0.0787977 & 0.960601 \tabularnewline
99 & 0.03822 & 0.0764401 & 0.96178 \tabularnewline
100 & 0.0345692 & 0.0691383 & 0.965431 \tabularnewline
101 & 0.0366724 & 0.0733447 & 0.963328 \tabularnewline
102 & 0.0303573 & 0.0607147 & 0.969643 \tabularnewline
103 & 0.0292164 & 0.0584328 & 0.970784 \tabularnewline
104 & 0.0317026 & 0.0634051 & 0.968297 \tabularnewline
105 & 0.0510229 & 0.102046 & 0.948977 \tabularnewline
106 & 0.04329 & 0.08658 & 0.95671 \tabularnewline
107 & 0.0450918 & 0.0901836 & 0.954908 \tabularnewline
108 & 0.0378188 & 0.0756375 & 0.962181 \tabularnewline
109 & 0.103442 & 0.206885 & 0.896558 \tabularnewline
110 & 0.0958233 & 0.191647 & 0.904177 \tabularnewline
111 & 0.0888829 & 0.177766 & 0.911117 \tabularnewline
112 & 0.0753165 & 0.150633 & 0.924683 \tabularnewline
113 & 0.0675393 & 0.135079 & 0.932461 \tabularnewline
114 & 0.0580899 & 0.11618 & 0.94191 \tabularnewline
115 & 0.0493849 & 0.0987698 & 0.950615 \tabularnewline
116 & 0.0420547 & 0.0841095 & 0.957945 \tabularnewline
117 & 0.0352116 & 0.0704231 & 0.964788 \tabularnewline
118 & 0.0454464 & 0.0908928 & 0.954554 \tabularnewline
119 & 0.0494215 & 0.0988429 & 0.950579 \tabularnewline
120 & 0.0414703 & 0.0829407 & 0.95853 \tabularnewline
121 & 0.0358589 & 0.0717178 & 0.964141 \tabularnewline
122 & 0.0297298 & 0.0594596 & 0.97027 \tabularnewline
123 & 0.0366351 & 0.0732702 & 0.963365 \tabularnewline
124 & 0.0325132 & 0.0650264 & 0.967487 \tabularnewline
125 & 0.0277817 & 0.0555635 & 0.972218 \tabularnewline
126 & 0.0281127 & 0.0562255 & 0.971887 \tabularnewline
127 & 0.0258265 & 0.051653 & 0.974174 \tabularnewline
128 & 0.0217915 & 0.0435831 & 0.978208 \tabularnewline
129 & 0.0178859 & 0.0357717 & 0.982114 \tabularnewline
130 & 0.0160187 & 0.0320374 & 0.983981 \tabularnewline
131 & 0.0228632 & 0.0457263 & 0.977137 \tabularnewline
132 & 0.0208068 & 0.0416136 & 0.979193 \tabularnewline
133 & 0.0168381 & 0.0336762 & 0.983162 \tabularnewline
134 & 0.0139772 & 0.0279544 & 0.986023 \tabularnewline
135 & 0.0121235 & 0.0242469 & 0.987877 \tabularnewline
136 & 0.0296522 & 0.0593045 & 0.970348 \tabularnewline
137 & 0.0243482 & 0.0486965 & 0.975652 \tabularnewline
138 & 0.0197883 & 0.0395766 & 0.980212 \tabularnewline
139 & 0.0211893 & 0.0423787 & 0.978811 \tabularnewline
140 & 0.0196149 & 0.0392297 & 0.980385 \tabularnewline
141 & 0.0269355 & 0.0538709 & 0.973065 \tabularnewline
142 & 0.0234498 & 0.0468995 & 0.97655 \tabularnewline
143 & 0.0189912 & 0.0379825 & 0.981009 \tabularnewline
144 & 0.0154353 & 0.0308707 & 0.984565 \tabularnewline
145 & 0.0127291 & 0.0254583 & 0.987271 \tabularnewline
146 & 0.0101717 & 0.0203434 & 0.989828 \tabularnewline
147 & 0.00889366 & 0.0177873 & 0.991106 \tabularnewline
148 & 0.00773707 & 0.0154741 & 0.992263 \tabularnewline
149 & 0.0120988 & 0.0241975 & 0.987901 \tabularnewline
150 & 0.00975124 & 0.0195025 & 0.990249 \tabularnewline
151 & 0.0124984 & 0.0249968 & 0.987502 \tabularnewline
152 & 0.0151516 & 0.0303031 & 0.984848 \tabularnewline
153 & 0.0128059 & 0.0256118 & 0.987194 \tabularnewline
154 & 0.0187935 & 0.037587 & 0.981206 \tabularnewline
155 & 0.0217622 & 0.0435245 & 0.978238 \tabularnewline
156 & 0.0177723 & 0.0355446 & 0.982228 \tabularnewline
157 & 0.0144294 & 0.0288589 & 0.985571 \tabularnewline
158 & 0.0122556 & 0.0245112 & 0.987744 \tabularnewline
159 & 0.0119929 & 0.0239859 & 0.988007 \tabularnewline
160 & 0.0165986 & 0.0331973 & 0.983401 \tabularnewline
161 & 0.0142194 & 0.0284387 & 0.985781 \tabularnewline
162 & 0.0607164 & 0.121433 & 0.939284 \tabularnewline
163 & 0.0515337 & 0.103067 & 0.948466 \tabularnewline
164 & 0.127088 & 0.254176 & 0.872912 \tabularnewline
165 & 0.142033 & 0.284067 & 0.857967 \tabularnewline
166 & 0.200484 & 0.400968 & 0.799516 \tabularnewline
167 & 0.179083 & 0.358166 & 0.820917 \tabularnewline
168 & 0.15868 & 0.317359 & 0.84132 \tabularnewline
169 & 0.156022 & 0.312045 & 0.843978 \tabularnewline
170 & 0.175843 & 0.351687 & 0.824157 \tabularnewline
171 & 0.188679 & 0.377359 & 0.811321 \tabularnewline
172 & 0.169486 & 0.338971 & 0.830514 \tabularnewline
173 & 0.150317 & 0.300635 & 0.849683 \tabularnewline
174 & 0.133064 & 0.266128 & 0.866936 \tabularnewline
175 & 0.115039 & 0.230078 & 0.884961 \tabularnewline
176 & 0.124973 & 0.249945 & 0.875027 \tabularnewline
177 & 0.110381 & 0.220762 & 0.889619 \tabularnewline
178 & 0.113991 & 0.227982 & 0.886009 \tabularnewline
179 & 0.127477 & 0.254954 & 0.872523 \tabularnewline
180 & 0.108836 & 0.217673 & 0.891164 \tabularnewline
181 & 0.12737 & 0.254739 & 0.87263 \tabularnewline
182 & 0.174578 & 0.349156 & 0.825422 \tabularnewline
183 & 0.166112 & 0.332224 & 0.833888 \tabularnewline
184 & 0.159852 & 0.319704 & 0.840148 \tabularnewline
185 & 0.148042 & 0.296085 & 0.851958 \tabularnewline
186 & 0.199243 & 0.398485 & 0.800757 \tabularnewline
187 & 0.175324 & 0.350648 & 0.824676 \tabularnewline
188 & 0.151672 & 0.303344 & 0.848328 \tabularnewline
189 & 0.139325 & 0.27865 & 0.860675 \tabularnewline
190 & 0.180541 & 0.361083 & 0.819459 \tabularnewline
191 & 0.219457 & 0.438914 & 0.780543 \tabularnewline
192 & 0.23041 & 0.46082 & 0.76959 \tabularnewline
193 & 0.202755 & 0.40551 & 0.797245 \tabularnewline
194 & 0.179754 & 0.359508 & 0.820246 \tabularnewline
195 & 0.154387 & 0.308775 & 0.845613 \tabularnewline
196 & 0.146865 & 0.293731 & 0.853135 \tabularnewline
197 & 0.223423 & 0.446847 & 0.776577 \tabularnewline
198 & 0.218483 & 0.436966 & 0.781517 \tabularnewline
199 & 0.230638 & 0.461277 & 0.769362 \tabularnewline
200 & 0.200198 & 0.400396 & 0.799802 \tabularnewline
201 & 0.197864 & 0.395728 & 0.802136 \tabularnewline
202 & 0.180814 & 0.361628 & 0.819186 \tabularnewline
203 & 0.171351 & 0.342703 & 0.828649 \tabularnewline
204 & 0.16769 & 0.33538 & 0.83231 \tabularnewline
205 & 0.156268 & 0.312535 & 0.843732 \tabularnewline
206 & 0.133526 & 0.267052 & 0.866474 \tabularnewline
207 & 0.111637 & 0.223274 & 0.888363 \tabularnewline
208 & 0.10276 & 0.20552 & 0.89724 \tabularnewline
209 & 0.0855219 & 0.171044 & 0.914478 \tabularnewline
210 & 0.0696123 & 0.139225 & 0.930388 \tabularnewline
211 & 0.0583899 & 0.11678 & 0.94161 \tabularnewline
212 & 0.0576903 & 0.115381 & 0.94231 \tabularnewline
213 & 0.0875735 & 0.175147 & 0.912427 \tabularnewline
214 & 0.0730393 & 0.146079 & 0.926961 \tabularnewline
215 & 0.0658812 & 0.131762 & 0.934119 \tabularnewline
216 & 0.0538956 & 0.107791 & 0.946104 \tabularnewline
217 & 0.0424941 & 0.0849882 & 0.957506 \tabularnewline
218 & 0.0330039 & 0.0660078 & 0.966996 \tabularnewline
219 & 0.0620347 & 0.124069 & 0.937965 \tabularnewline
220 & 0.0506551 & 0.10131 & 0.949345 \tabularnewline
221 & 0.0424513 & 0.0849026 & 0.957549 \tabularnewline
222 & 0.0506102 & 0.10122 & 0.94939 \tabularnewline
223 & 0.0485552 & 0.0971103 & 0.951445 \tabularnewline
224 & 0.0634232 & 0.126846 & 0.936577 \tabularnewline
225 & 0.0534559 & 0.106912 & 0.946544 \tabularnewline
226 & 0.0582128 & 0.116426 & 0.941787 \tabularnewline
227 & 0.0918165 & 0.183633 & 0.908183 \tabularnewline
228 & 0.0939233 & 0.187847 & 0.906077 \tabularnewline
229 & 0.205172 & 0.410344 & 0.794828 \tabularnewline
230 & 0.179837 & 0.359673 & 0.820163 \tabularnewline
231 & 0.15048 & 0.30096 & 0.84952 \tabularnewline
232 & 0.122086 & 0.244173 & 0.877914 \tabularnewline
233 & 0.291655 & 0.58331 & 0.708345 \tabularnewline
234 & 0.30568 & 0.611359 & 0.69432 \tabularnewline
235 & 0.369797 & 0.739593 & 0.630203 \tabularnewline
236 & 0.312813 & 0.625626 & 0.687187 \tabularnewline
237 & 0.368409 & 0.736819 & 0.631591 \tabularnewline
238 & 0.444277 & 0.888554 & 0.555723 \tabularnewline
239 & 0.448945 & 0.89789 & 0.551055 \tabularnewline
240 & 0.40791 & 0.815819 & 0.59209 \tabularnewline
241 & 0.346367 & 0.692733 & 0.653633 \tabularnewline
242 & 0.292992 & 0.585983 & 0.707008 \tabularnewline
243 & 0.240146 & 0.480292 & 0.759854 \tabularnewline
244 & 0.192157 & 0.384314 & 0.807843 \tabularnewline
245 & 0.160076 & 0.320152 & 0.839924 \tabularnewline
246 & 0.225496 & 0.450992 & 0.774504 \tabularnewline
247 & 0.168876 & 0.337751 & 0.831124 \tabularnewline
248 & 0.128872 & 0.257744 & 0.871128 \tabularnewline
249 & 0.203479 & 0.406958 & 0.796521 \tabularnewline
250 & 0.232305 & 0.464609 & 0.767695 \tabularnewline
251 & 0.164529 & 0.329057 & 0.835471 \tabularnewline
252 & 0.301658 & 0.603317 & 0.698342 \tabularnewline
253 & 0.592505 & 0.814989 & 0.407495 \tabularnewline
254 & 0.892255 & 0.215489 & 0.107745 \tabularnewline
255 & 0.837079 & 0.325842 & 0.162921 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=251376&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]0.988584[/C][C]0.0228321[/C][C]0.011416[/C][/ROW]
[ROW][C]10[/C][C]0.975121[/C][C]0.0497576[/C][C]0.0248788[/C][/ROW]
[ROW][C]11[/C][C]0.962558[/C][C]0.0748844[/C][C]0.0374422[/C][/ROW]
[ROW][C]12[/C][C]0.989874[/C][C]0.0202511[/C][C]0.0101255[/C][/ROW]
[ROW][C]13[/C][C]0.981913[/C][C]0.0361742[/C][C]0.0180871[/C][/ROW]
[ROW][C]14[/C][C]0.96867[/C][C]0.0626593[/C][C]0.0313296[/C][/ROW]
[ROW][C]15[/C][C]0.963178[/C][C]0.0736442[/C][C]0.0368221[/C][/ROW]
[ROW][C]16[/C][C]0.942442[/C][C]0.115115[/C][C]0.0575577[/C][/ROW]
[ROW][C]17[/C][C]0.920144[/C][C]0.159713[/C][C]0.0798564[/C][/ROW]
[ROW][C]18[/C][C]0.893261[/C][C]0.213477[/C][C]0.106739[/C][/ROW]
[ROW][C]19[/C][C]0.885846[/C][C]0.228308[/C][C]0.114154[/C][/ROW]
[ROW][C]20[/C][C]0.853001[/C][C]0.293998[/C][C]0.146999[/C][/ROW]
[ROW][C]21[/C][C]0.853455[/C][C]0.29309[/C][C]0.146545[/C][/ROW]
[ROW][C]22[/C][C]0.810594[/C][C]0.378813[/C][C]0.189406[/C][/ROW]
[ROW][C]23[/C][C]0.774768[/C][C]0.450464[/C][C]0.225232[/C][/ROW]
[ROW][C]24[/C][C]0.727285[/C][C]0.54543[/C][C]0.272715[/C][/ROW]
[ROW][C]25[/C][C]0.673603[/C][C]0.652794[/C][C]0.326397[/C][/ROW]
[ROW][C]26[/C][C]0.663836[/C][C]0.672329[/C][C]0.336164[/C][/ROW]
[ROW][C]27[/C][C]0.606311[/C][C]0.787378[/C][C]0.393689[/C][/ROW]
[ROW][C]28[/C][C]0.563291[/C][C]0.873418[/C][C]0.436709[/C][/ROW]
[ROW][C]29[/C][C]0.516391[/C][C]0.967219[/C][C]0.483609[/C][/ROW]
[ROW][C]30[/C][C]0.455129[/C][C]0.910259[/C][C]0.544871[/C][/ROW]
[ROW][C]31[/C][C]0.459327[/C][C]0.918654[/C][C]0.540673[/C][/ROW]
[ROW][C]32[/C][C]0.405275[/C][C]0.81055[/C][C]0.594725[/C][/ROW]
[ROW][C]33[/C][C]0.376571[/C][C]0.753142[/C][C]0.623429[/C][/ROW]
[ROW][C]34[/C][C]0.323558[/C][C]0.647117[/C][C]0.676442[/C][/ROW]
[ROW][C]35[/C][C]0.275152[/C][C]0.550304[/C][C]0.724848[/C][/ROW]
[ROW][C]36[/C][C]0.299201[/C][C]0.598402[/C][C]0.700799[/C][/ROW]
[ROW][C]37[/C][C]0.461079[/C][C]0.922158[/C][C]0.538921[/C][/ROW]
[ROW][C]38[/C][C]0.410912[/C][C]0.821824[/C][C]0.589088[/C][/ROW]
[ROW][C]39[/C][C]0.387567[/C][C]0.775134[/C][C]0.612433[/C][/ROW]
[ROW][C]40[/C][C]0.363564[/C][C]0.727128[/C][C]0.636436[/C][/ROW]
[ROW][C]41[/C][C]0.345514[/C][C]0.691029[/C][C]0.654486[/C][/ROW]
[ROW][C]42[/C][C]0.307536[/C][C]0.615071[/C][C]0.692464[/C][/ROW]
[ROW][C]43[/C][C]0.407106[/C][C]0.814211[/C][C]0.592894[/C][/ROW]
[ROW][C]44[/C][C]0.360876[/C][C]0.721753[/C][C]0.639124[/C][/ROW]
[ROW][C]45[/C][C]0.322058[/C][C]0.644116[/C][C]0.677942[/C][/ROW]
[ROW][C]46[/C][C]0.281463[/C][C]0.562926[/C][C]0.718537[/C][/ROW]
[ROW][C]47[/C][C]0.31966[/C][C]0.63932[/C][C]0.68034[/C][/ROW]
[ROW][C]48[/C][C]0.28477[/C][C]0.569539[/C][C]0.71523[/C][/ROW]
[ROW][C]49[/C][C]0.283192[/C][C]0.566383[/C][C]0.716808[/C][/ROW]
[ROW][C]50[/C][C]0.248179[/C][C]0.496358[/C][C]0.751821[/C][/ROW]
[ROW][C]51[/C][C]0.246248[/C][C]0.492495[/C][C]0.753752[/C][/ROW]
[ROW][C]52[/C][C]0.214722[/C][C]0.429445[/C][C]0.785278[/C][/ROW]
[ROW][C]53[/C][C]0.231523[/C][C]0.463046[/C][C]0.768477[/C][/ROW]
[ROW][C]54[/C][C]0.198513[/C][C]0.397026[/C][C]0.801487[/C][/ROW]
[ROW][C]55[/C][C]0.19549[/C][C]0.390981[/C][C]0.80451[/C][/ROW]
[ROW][C]56[/C][C]0.201097[/C][C]0.402194[/C][C]0.798903[/C][/ROW]
[ROW][C]57[/C][C]0.176845[/C][C]0.353691[/C][C]0.823155[/C][/ROW]
[ROW][C]58[/C][C]0.204871[/C][C]0.409742[/C][C]0.795129[/C][/ROW]
[ROW][C]59[/C][C]0.190283[/C][C]0.380567[/C][C]0.809717[/C][/ROW]
[ROW][C]60[/C][C]0.18438[/C][C]0.368759[/C][C]0.81562[/C][/ROW]
[ROW][C]61[/C][C]0.237165[/C][C]0.47433[/C][C]0.762835[/C][/ROW]
[ROW][C]62[/C][C]0.206307[/C][C]0.412614[/C][C]0.793693[/C][/ROW]
[ROW][C]63[/C][C]0.177117[/C][C]0.354234[/C][C]0.822883[/C][/ROW]
[ROW][C]64[/C][C]0.153234[/C][C]0.306468[/C][C]0.846766[/C][/ROW]
[ROW][C]65[/C][C]0.133071[/C][C]0.266142[/C][C]0.866929[/C][/ROW]
[ROW][C]66[/C][C]0.111991[/C][C]0.223983[/C][C]0.888009[/C][/ROW]
[ROW][C]67[/C][C]0.135296[/C][C]0.270591[/C][C]0.864704[/C][/ROW]
[ROW][C]68[/C][C]0.11425[/C][C]0.228501[/C][C]0.88575[/C][/ROW]
[ROW][C]69[/C][C]0.0964783[/C][C]0.192957[/C][C]0.903522[/C][/ROW]
[ROW][C]70[/C][C]0.0829022[/C][C]0.165804[/C][C]0.917098[/C][/ROW]
[ROW][C]71[/C][C]0.0693031[/C][C]0.138606[/C][C]0.930697[/C][/ROW]
[ROW][C]72[/C][C]0.0567615[/C][C]0.113523[/C][C]0.943238[/C][/ROW]
[ROW][C]73[/C][C]0.0483046[/C][C]0.0966092[/C][C]0.951695[/C][/ROW]
[ROW][C]74[/C][C]0.0438026[/C][C]0.0876052[/C][C]0.956197[/C][/ROW]
[ROW][C]75[/C][C]0.0353073[/C][C]0.0706145[/C][C]0.964693[/C][/ROW]
[ROW][C]76[/C][C]0.100725[/C][C]0.201449[/C][C]0.899275[/C][/ROW]
[ROW][C]77[/C][C]0.0848604[/C][C]0.169721[/C][C]0.91514[/C][/ROW]
[ROW][C]78[/C][C]0.0948926[/C][C]0.189785[/C][C]0.905107[/C][/ROW]
[ROW][C]79[/C][C]0.079152[/C][C]0.158304[/C][C]0.920848[/C][/ROW]
[ROW][C]80[/C][C]0.107996[/C][C]0.215991[/C][C]0.892004[/C][/ROW]
[ROW][C]81[/C][C]0.0931556[/C][C]0.186311[/C][C]0.906844[/C][/ROW]
[ROW][C]82[/C][C]0.100024[/C][C]0.200048[/C][C]0.899976[/C][/ROW]
[ROW][C]83[/C][C]0.0846914[/C][C]0.169383[/C][C]0.915309[/C][/ROW]
[ROW][C]84[/C][C]0.0719951[/C][C]0.14399[/C][C]0.928005[/C][/ROW]
[ROW][C]85[/C][C]0.0598482[/C][C]0.119696[/C][C]0.940152[/C][/ROW]
[ROW][C]86[/C][C]0.049689[/C][C]0.099378[/C][C]0.950311[/C][/ROW]
[ROW][C]87[/C][C]0.0415743[/C][C]0.0831485[/C][C]0.958426[/C][/ROW]
[ROW][C]88[/C][C]0.034146[/C][C]0.0682921[/C][C]0.965854[/C][/ROW]
[ROW][C]89[/C][C]0.129162[/C][C]0.258324[/C][C]0.870838[/C][/ROW]
[ROW][C]90[/C][C]0.11085[/C][C]0.2217[/C][C]0.88915[/C][/ROW]
[ROW][C]91[/C][C]0.0966501[/C][C]0.1933[/C][C]0.90335[/C][/ROW]
[ROW][C]92[/C][C]0.08256[/C][C]0.16512[/C][C]0.91744[/C][/ROW]
[ROW][C]93[/C][C]0.0779319[/C][C]0.155864[/C][C]0.922068[/C][/ROW]
[ROW][C]94[/C][C]0.0654289[/C][C]0.130858[/C][C]0.934571[/C][/ROW]
[ROW][C]95[/C][C]0.0548609[/C][C]0.109722[/C][C]0.945139[/C][/ROW]
[ROW][C]96[/C][C]0.0555142[/C][C]0.111028[/C][C]0.944486[/C][/ROW]
[ROW][C]97[/C][C]0.0473435[/C][C]0.0946871[/C][C]0.952656[/C][/ROW]
[ROW][C]98[/C][C]0.0393989[/C][C]0.0787977[/C][C]0.960601[/C][/ROW]
[ROW][C]99[/C][C]0.03822[/C][C]0.0764401[/C][C]0.96178[/C][/ROW]
[ROW][C]100[/C][C]0.0345692[/C][C]0.0691383[/C][C]0.965431[/C][/ROW]
[ROW][C]101[/C][C]0.0366724[/C][C]0.0733447[/C][C]0.963328[/C][/ROW]
[ROW][C]102[/C][C]0.0303573[/C][C]0.0607147[/C][C]0.969643[/C][/ROW]
[ROW][C]103[/C][C]0.0292164[/C][C]0.0584328[/C][C]0.970784[/C][/ROW]
[ROW][C]104[/C][C]0.0317026[/C][C]0.0634051[/C][C]0.968297[/C][/ROW]
[ROW][C]105[/C][C]0.0510229[/C][C]0.102046[/C][C]0.948977[/C][/ROW]
[ROW][C]106[/C][C]0.04329[/C][C]0.08658[/C][C]0.95671[/C][/ROW]
[ROW][C]107[/C][C]0.0450918[/C][C]0.0901836[/C][C]0.954908[/C][/ROW]
[ROW][C]108[/C][C]0.0378188[/C][C]0.0756375[/C][C]0.962181[/C][/ROW]
[ROW][C]109[/C][C]0.103442[/C][C]0.206885[/C][C]0.896558[/C][/ROW]
[ROW][C]110[/C][C]0.0958233[/C][C]0.191647[/C][C]0.904177[/C][/ROW]
[ROW][C]111[/C][C]0.0888829[/C][C]0.177766[/C][C]0.911117[/C][/ROW]
[ROW][C]112[/C][C]0.0753165[/C][C]0.150633[/C][C]0.924683[/C][/ROW]
[ROW][C]113[/C][C]0.0675393[/C][C]0.135079[/C][C]0.932461[/C][/ROW]
[ROW][C]114[/C][C]0.0580899[/C][C]0.11618[/C][C]0.94191[/C][/ROW]
[ROW][C]115[/C][C]0.0493849[/C][C]0.0987698[/C][C]0.950615[/C][/ROW]
[ROW][C]116[/C][C]0.0420547[/C][C]0.0841095[/C][C]0.957945[/C][/ROW]
[ROW][C]117[/C][C]0.0352116[/C][C]0.0704231[/C][C]0.964788[/C][/ROW]
[ROW][C]118[/C][C]0.0454464[/C][C]0.0908928[/C][C]0.954554[/C][/ROW]
[ROW][C]119[/C][C]0.0494215[/C][C]0.0988429[/C][C]0.950579[/C][/ROW]
[ROW][C]120[/C][C]0.0414703[/C][C]0.0829407[/C][C]0.95853[/C][/ROW]
[ROW][C]121[/C][C]0.0358589[/C][C]0.0717178[/C][C]0.964141[/C][/ROW]
[ROW][C]122[/C][C]0.0297298[/C][C]0.0594596[/C][C]0.97027[/C][/ROW]
[ROW][C]123[/C][C]0.0366351[/C][C]0.0732702[/C][C]0.963365[/C][/ROW]
[ROW][C]124[/C][C]0.0325132[/C][C]0.0650264[/C][C]0.967487[/C][/ROW]
[ROW][C]125[/C][C]0.0277817[/C][C]0.0555635[/C][C]0.972218[/C][/ROW]
[ROW][C]126[/C][C]0.0281127[/C][C]0.0562255[/C][C]0.971887[/C][/ROW]
[ROW][C]127[/C][C]0.0258265[/C][C]0.051653[/C][C]0.974174[/C][/ROW]
[ROW][C]128[/C][C]0.0217915[/C][C]0.0435831[/C][C]0.978208[/C][/ROW]
[ROW][C]129[/C][C]0.0178859[/C][C]0.0357717[/C][C]0.982114[/C][/ROW]
[ROW][C]130[/C][C]0.0160187[/C][C]0.0320374[/C][C]0.983981[/C][/ROW]
[ROW][C]131[/C][C]0.0228632[/C][C]0.0457263[/C][C]0.977137[/C][/ROW]
[ROW][C]132[/C][C]0.0208068[/C][C]0.0416136[/C][C]0.979193[/C][/ROW]
[ROW][C]133[/C][C]0.0168381[/C][C]0.0336762[/C][C]0.983162[/C][/ROW]
[ROW][C]134[/C][C]0.0139772[/C][C]0.0279544[/C][C]0.986023[/C][/ROW]
[ROW][C]135[/C][C]0.0121235[/C][C]0.0242469[/C][C]0.987877[/C][/ROW]
[ROW][C]136[/C][C]0.0296522[/C][C]0.0593045[/C][C]0.970348[/C][/ROW]
[ROW][C]137[/C][C]0.0243482[/C][C]0.0486965[/C][C]0.975652[/C][/ROW]
[ROW][C]138[/C][C]0.0197883[/C][C]0.0395766[/C][C]0.980212[/C][/ROW]
[ROW][C]139[/C][C]0.0211893[/C][C]0.0423787[/C][C]0.978811[/C][/ROW]
[ROW][C]140[/C][C]0.0196149[/C][C]0.0392297[/C][C]0.980385[/C][/ROW]
[ROW][C]141[/C][C]0.0269355[/C][C]0.0538709[/C][C]0.973065[/C][/ROW]
[ROW][C]142[/C][C]0.0234498[/C][C]0.0468995[/C][C]0.97655[/C][/ROW]
[ROW][C]143[/C][C]0.0189912[/C][C]0.0379825[/C][C]0.981009[/C][/ROW]
[ROW][C]144[/C][C]0.0154353[/C][C]0.0308707[/C][C]0.984565[/C][/ROW]
[ROW][C]145[/C][C]0.0127291[/C][C]0.0254583[/C][C]0.987271[/C][/ROW]
[ROW][C]146[/C][C]0.0101717[/C][C]0.0203434[/C][C]0.989828[/C][/ROW]
[ROW][C]147[/C][C]0.00889366[/C][C]0.0177873[/C][C]0.991106[/C][/ROW]
[ROW][C]148[/C][C]0.00773707[/C][C]0.0154741[/C][C]0.992263[/C][/ROW]
[ROW][C]149[/C][C]0.0120988[/C][C]0.0241975[/C][C]0.987901[/C][/ROW]
[ROW][C]150[/C][C]0.00975124[/C][C]0.0195025[/C][C]0.990249[/C][/ROW]
[ROW][C]151[/C][C]0.0124984[/C][C]0.0249968[/C][C]0.987502[/C][/ROW]
[ROW][C]152[/C][C]0.0151516[/C][C]0.0303031[/C][C]0.984848[/C][/ROW]
[ROW][C]153[/C][C]0.0128059[/C][C]0.0256118[/C][C]0.987194[/C][/ROW]
[ROW][C]154[/C][C]0.0187935[/C][C]0.037587[/C][C]0.981206[/C][/ROW]
[ROW][C]155[/C][C]0.0217622[/C][C]0.0435245[/C][C]0.978238[/C][/ROW]
[ROW][C]156[/C][C]0.0177723[/C][C]0.0355446[/C][C]0.982228[/C][/ROW]
[ROW][C]157[/C][C]0.0144294[/C][C]0.0288589[/C][C]0.985571[/C][/ROW]
[ROW][C]158[/C][C]0.0122556[/C][C]0.0245112[/C][C]0.987744[/C][/ROW]
[ROW][C]159[/C][C]0.0119929[/C][C]0.0239859[/C][C]0.988007[/C][/ROW]
[ROW][C]160[/C][C]0.0165986[/C][C]0.0331973[/C][C]0.983401[/C][/ROW]
[ROW][C]161[/C][C]0.0142194[/C][C]0.0284387[/C][C]0.985781[/C][/ROW]
[ROW][C]162[/C][C]0.0607164[/C][C]0.121433[/C][C]0.939284[/C][/ROW]
[ROW][C]163[/C][C]0.0515337[/C][C]0.103067[/C][C]0.948466[/C][/ROW]
[ROW][C]164[/C][C]0.127088[/C][C]0.254176[/C][C]0.872912[/C][/ROW]
[ROW][C]165[/C][C]0.142033[/C][C]0.284067[/C][C]0.857967[/C][/ROW]
[ROW][C]166[/C][C]0.200484[/C][C]0.400968[/C][C]0.799516[/C][/ROW]
[ROW][C]167[/C][C]0.179083[/C][C]0.358166[/C][C]0.820917[/C][/ROW]
[ROW][C]168[/C][C]0.15868[/C][C]0.317359[/C][C]0.84132[/C][/ROW]
[ROW][C]169[/C][C]0.156022[/C][C]0.312045[/C][C]0.843978[/C][/ROW]
[ROW][C]170[/C][C]0.175843[/C][C]0.351687[/C][C]0.824157[/C][/ROW]
[ROW][C]171[/C][C]0.188679[/C][C]0.377359[/C][C]0.811321[/C][/ROW]
[ROW][C]172[/C][C]0.169486[/C][C]0.338971[/C][C]0.830514[/C][/ROW]
[ROW][C]173[/C][C]0.150317[/C][C]0.300635[/C][C]0.849683[/C][/ROW]
[ROW][C]174[/C][C]0.133064[/C][C]0.266128[/C][C]0.866936[/C][/ROW]
[ROW][C]175[/C][C]0.115039[/C][C]0.230078[/C][C]0.884961[/C][/ROW]
[ROW][C]176[/C][C]0.124973[/C][C]0.249945[/C][C]0.875027[/C][/ROW]
[ROW][C]177[/C][C]0.110381[/C][C]0.220762[/C][C]0.889619[/C][/ROW]
[ROW][C]178[/C][C]0.113991[/C][C]0.227982[/C][C]0.886009[/C][/ROW]
[ROW][C]179[/C][C]0.127477[/C][C]0.254954[/C][C]0.872523[/C][/ROW]
[ROW][C]180[/C][C]0.108836[/C][C]0.217673[/C][C]0.891164[/C][/ROW]
[ROW][C]181[/C][C]0.12737[/C][C]0.254739[/C][C]0.87263[/C][/ROW]
[ROW][C]182[/C][C]0.174578[/C][C]0.349156[/C][C]0.825422[/C][/ROW]
[ROW][C]183[/C][C]0.166112[/C][C]0.332224[/C][C]0.833888[/C][/ROW]
[ROW][C]184[/C][C]0.159852[/C][C]0.319704[/C][C]0.840148[/C][/ROW]
[ROW][C]185[/C][C]0.148042[/C][C]0.296085[/C][C]0.851958[/C][/ROW]
[ROW][C]186[/C][C]0.199243[/C][C]0.398485[/C][C]0.800757[/C][/ROW]
[ROW][C]187[/C][C]0.175324[/C][C]0.350648[/C][C]0.824676[/C][/ROW]
[ROW][C]188[/C][C]0.151672[/C][C]0.303344[/C][C]0.848328[/C][/ROW]
[ROW][C]189[/C][C]0.139325[/C][C]0.27865[/C][C]0.860675[/C][/ROW]
[ROW][C]190[/C][C]0.180541[/C][C]0.361083[/C][C]0.819459[/C][/ROW]
[ROW][C]191[/C][C]0.219457[/C][C]0.438914[/C][C]0.780543[/C][/ROW]
[ROW][C]192[/C][C]0.23041[/C][C]0.46082[/C][C]0.76959[/C][/ROW]
[ROW][C]193[/C][C]0.202755[/C][C]0.40551[/C][C]0.797245[/C][/ROW]
[ROW][C]194[/C][C]0.179754[/C][C]0.359508[/C][C]0.820246[/C][/ROW]
[ROW][C]195[/C][C]0.154387[/C][C]0.308775[/C][C]0.845613[/C][/ROW]
[ROW][C]196[/C][C]0.146865[/C][C]0.293731[/C][C]0.853135[/C][/ROW]
[ROW][C]197[/C][C]0.223423[/C][C]0.446847[/C][C]0.776577[/C][/ROW]
[ROW][C]198[/C][C]0.218483[/C][C]0.436966[/C][C]0.781517[/C][/ROW]
[ROW][C]199[/C][C]0.230638[/C][C]0.461277[/C][C]0.769362[/C][/ROW]
[ROW][C]200[/C][C]0.200198[/C][C]0.400396[/C][C]0.799802[/C][/ROW]
[ROW][C]201[/C][C]0.197864[/C][C]0.395728[/C][C]0.802136[/C][/ROW]
[ROW][C]202[/C][C]0.180814[/C][C]0.361628[/C][C]0.819186[/C][/ROW]
[ROW][C]203[/C][C]0.171351[/C][C]0.342703[/C][C]0.828649[/C][/ROW]
[ROW][C]204[/C][C]0.16769[/C][C]0.33538[/C][C]0.83231[/C][/ROW]
[ROW][C]205[/C][C]0.156268[/C][C]0.312535[/C][C]0.843732[/C][/ROW]
[ROW][C]206[/C][C]0.133526[/C][C]0.267052[/C][C]0.866474[/C][/ROW]
[ROW][C]207[/C][C]0.111637[/C][C]0.223274[/C][C]0.888363[/C][/ROW]
[ROW][C]208[/C][C]0.10276[/C][C]0.20552[/C][C]0.89724[/C][/ROW]
[ROW][C]209[/C][C]0.0855219[/C][C]0.171044[/C][C]0.914478[/C][/ROW]
[ROW][C]210[/C][C]0.0696123[/C][C]0.139225[/C][C]0.930388[/C][/ROW]
[ROW][C]211[/C][C]0.0583899[/C][C]0.11678[/C][C]0.94161[/C][/ROW]
[ROW][C]212[/C][C]0.0576903[/C][C]0.115381[/C][C]0.94231[/C][/ROW]
[ROW][C]213[/C][C]0.0875735[/C][C]0.175147[/C][C]0.912427[/C][/ROW]
[ROW][C]214[/C][C]0.0730393[/C][C]0.146079[/C][C]0.926961[/C][/ROW]
[ROW][C]215[/C][C]0.0658812[/C][C]0.131762[/C][C]0.934119[/C][/ROW]
[ROW][C]216[/C][C]0.0538956[/C][C]0.107791[/C][C]0.946104[/C][/ROW]
[ROW][C]217[/C][C]0.0424941[/C][C]0.0849882[/C][C]0.957506[/C][/ROW]
[ROW][C]218[/C][C]0.0330039[/C][C]0.0660078[/C][C]0.966996[/C][/ROW]
[ROW][C]219[/C][C]0.0620347[/C][C]0.124069[/C][C]0.937965[/C][/ROW]
[ROW][C]220[/C][C]0.0506551[/C][C]0.10131[/C][C]0.949345[/C][/ROW]
[ROW][C]221[/C][C]0.0424513[/C][C]0.0849026[/C][C]0.957549[/C][/ROW]
[ROW][C]222[/C][C]0.0506102[/C][C]0.10122[/C][C]0.94939[/C][/ROW]
[ROW][C]223[/C][C]0.0485552[/C][C]0.0971103[/C][C]0.951445[/C][/ROW]
[ROW][C]224[/C][C]0.0634232[/C][C]0.126846[/C][C]0.936577[/C][/ROW]
[ROW][C]225[/C][C]0.0534559[/C][C]0.106912[/C][C]0.946544[/C][/ROW]
[ROW][C]226[/C][C]0.0582128[/C][C]0.116426[/C][C]0.941787[/C][/ROW]
[ROW][C]227[/C][C]0.0918165[/C][C]0.183633[/C][C]0.908183[/C][/ROW]
[ROW][C]228[/C][C]0.0939233[/C][C]0.187847[/C][C]0.906077[/C][/ROW]
[ROW][C]229[/C][C]0.205172[/C][C]0.410344[/C][C]0.794828[/C][/ROW]
[ROW][C]230[/C][C]0.179837[/C][C]0.359673[/C][C]0.820163[/C][/ROW]
[ROW][C]231[/C][C]0.15048[/C][C]0.30096[/C][C]0.84952[/C][/ROW]
[ROW][C]232[/C][C]0.122086[/C][C]0.244173[/C][C]0.877914[/C][/ROW]
[ROW][C]233[/C][C]0.291655[/C][C]0.58331[/C][C]0.708345[/C][/ROW]
[ROW][C]234[/C][C]0.30568[/C][C]0.611359[/C][C]0.69432[/C][/ROW]
[ROW][C]235[/C][C]0.369797[/C][C]0.739593[/C][C]0.630203[/C][/ROW]
[ROW][C]236[/C][C]0.312813[/C][C]0.625626[/C][C]0.687187[/C][/ROW]
[ROW][C]237[/C][C]0.368409[/C][C]0.736819[/C][C]0.631591[/C][/ROW]
[ROW][C]238[/C][C]0.444277[/C][C]0.888554[/C][C]0.555723[/C][/ROW]
[ROW][C]239[/C][C]0.448945[/C][C]0.89789[/C][C]0.551055[/C][/ROW]
[ROW][C]240[/C][C]0.40791[/C][C]0.815819[/C][C]0.59209[/C][/ROW]
[ROW][C]241[/C][C]0.346367[/C][C]0.692733[/C][C]0.653633[/C][/ROW]
[ROW][C]242[/C][C]0.292992[/C][C]0.585983[/C][C]0.707008[/C][/ROW]
[ROW][C]243[/C][C]0.240146[/C][C]0.480292[/C][C]0.759854[/C][/ROW]
[ROW][C]244[/C][C]0.192157[/C][C]0.384314[/C][C]0.807843[/C][/ROW]
[ROW][C]245[/C][C]0.160076[/C][C]0.320152[/C][C]0.839924[/C][/ROW]
[ROW][C]246[/C][C]0.225496[/C][C]0.450992[/C][C]0.774504[/C][/ROW]
[ROW][C]247[/C][C]0.168876[/C][C]0.337751[/C][C]0.831124[/C][/ROW]
[ROW][C]248[/C][C]0.128872[/C][C]0.257744[/C][C]0.871128[/C][/ROW]
[ROW][C]249[/C][C]0.203479[/C][C]0.406958[/C][C]0.796521[/C][/ROW]
[ROW][C]250[/C][C]0.232305[/C][C]0.464609[/C][C]0.767695[/C][/ROW]
[ROW][C]251[/C][C]0.164529[/C][C]0.329057[/C][C]0.835471[/C][/ROW]
[ROW][C]252[/C][C]0.301658[/C][C]0.603317[/C][C]0.698342[/C][/ROW]
[ROW][C]253[/C][C]0.592505[/C][C]0.814989[/C][C]0.407495[/C][/ROW]
[ROW][C]254[/C][C]0.892255[/C][C]0.215489[/C][C]0.107745[/C][/ROW]
[ROW][C]255[/C][C]0.837079[/C][C]0.325842[/C][C]0.162921[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=251376&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=251376&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
90.9885840.02283210.011416
100.9751210.04975760.0248788
110.9625580.07488440.0374422
120.9898740.02025110.0101255
130.9819130.03617420.0180871
140.968670.06265930.0313296
150.9631780.07364420.0368221
160.9424420.1151150.0575577
170.9201440.1597130.0798564
180.8932610.2134770.106739
190.8858460.2283080.114154
200.8530010.2939980.146999
210.8534550.293090.146545
220.8105940.3788130.189406
230.7747680.4504640.225232
240.7272850.545430.272715
250.6736030.6527940.326397
260.6638360.6723290.336164
270.6063110.7873780.393689
280.5632910.8734180.436709
290.5163910.9672190.483609
300.4551290.9102590.544871
310.4593270.9186540.540673
320.4052750.810550.594725
330.3765710.7531420.623429
340.3235580.6471170.676442
350.2751520.5503040.724848
360.2992010.5984020.700799
370.4610790.9221580.538921
380.4109120.8218240.589088
390.3875670.7751340.612433
400.3635640.7271280.636436
410.3455140.6910290.654486
420.3075360.6150710.692464
430.4071060.8142110.592894
440.3608760.7217530.639124
450.3220580.6441160.677942
460.2814630.5629260.718537
470.319660.639320.68034
480.284770.5695390.71523
490.2831920.5663830.716808
500.2481790.4963580.751821
510.2462480.4924950.753752
520.2147220.4294450.785278
530.2315230.4630460.768477
540.1985130.3970260.801487
550.195490.3909810.80451
560.2010970.4021940.798903
570.1768450.3536910.823155
580.2048710.4097420.795129
590.1902830.3805670.809717
600.184380.3687590.81562
610.2371650.474330.762835
620.2063070.4126140.793693
630.1771170.3542340.822883
640.1532340.3064680.846766
650.1330710.2661420.866929
660.1119910.2239830.888009
670.1352960.2705910.864704
680.114250.2285010.88575
690.09647830.1929570.903522
700.08290220.1658040.917098
710.06930310.1386060.930697
720.05676150.1135230.943238
730.04830460.09660920.951695
740.04380260.08760520.956197
750.03530730.07061450.964693
760.1007250.2014490.899275
770.08486040.1697210.91514
780.09489260.1897850.905107
790.0791520.1583040.920848
800.1079960.2159910.892004
810.09315560.1863110.906844
820.1000240.2000480.899976
830.08469140.1693830.915309
840.07199510.143990.928005
850.05984820.1196960.940152
860.0496890.0993780.950311
870.04157430.08314850.958426
880.0341460.06829210.965854
890.1291620.2583240.870838
900.110850.22170.88915
910.09665010.19330.90335
920.082560.165120.91744
930.07793190.1558640.922068
940.06542890.1308580.934571
950.05486090.1097220.945139
960.05551420.1110280.944486
970.04734350.09468710.952656
980.03939890.07879770.960601
990.038220.07644010.96178
1000.03456920.06913830.965431
1010.03667240.07334470.963328
1020.03035730.06071470.969643
1030.02921640.05843280.970784
1040.03170260.06340510.968297
1050.05102290.1020460.948977
1060.043290.086580.95671
1070.04509180.09018360.954908
1080.03781880.07563750.962181
1090.1034420.2068850.896558
1100.09582330.1916470.904177
1110.08888290.1777660.911117
1120.07531650.1506330.924683
1130.06753930.1350790.932461
1140.05808990.116180.94191
1150.04938490.09876980.950615
1160.04205470.08410950.957945
1170.03521160.07042310.964788
1180.04544640.09089280.954554
1190.04942150.09884290.950579
1200.04147030.08294070.95853
1210.03585890.07171780.964141
1220.02972980.05945960.97027
1230.03663510.07327020.963365
1240.03251320.06502640.967487
1250.02778170.05556350.972218
1260.02811270.05622550.971887
1270.02582650.0516530.974174
1280.02179150.04358310.978208
1290.01788590.03577170.982114
1300.01601870.03203740.983981
1310.02286320.04572630.977137
1320.02080680.04161360.979193
1330.01683810.03367620.983162
1340.01397720.02795440.986023
1350.01212350.02424690.987877
1360.02965220.05930450.970348
1370.02434820.04869650.975652
1380.01978830.03957660.980212
1390.02118930.04237870.978811
1400.01961490.03922970.980385
1410.02693550.05387090.973065
1420.02344980.04689950.97655
1430.01899120.03798250.981009
1440.01543530.03087070.984565
1450.01272910.02545830.987271
1460.01017170.02034340.989828
1470.008893660.01778730.991106
1480.007737070.01547410.992263
1490.01209880.02419750.987901
1500.009751240.01950250.990249
1510.01249840.02499680.987502
1520.01515160.03030310.984848
1530.01280590.02561180.987194
1540.01879350.0375870.981206
1550.02176220.04352450.978238
1560.01777230.03554460.982228
1570.01442940.02885890.985571
1580.01225560.02451120.987744
1590.01199290.02398590.988007
1600.01659860.03319730.983401
1610.01421940.02843870.985781
1620.06071640.1214330.939284
1630.05153370.1030670.948466
1640.1270880.2541760.872912
1650.1420330.2840670.857967
1660.2004840.4009680.799516
1670.1790830.3581660.820917
1680.158680.3173590.84132
1690.1560220.3120450.843978
1700.1758430.3516870.824157
1710.1886790.3773590.811321
1720.1694860.3389710.830514
1730.1503170.3006350.849683
1740.1330640.2661280.866936
1750.1150390.2300780.884961
1760.1249730.2499450.875027
1770.1103810.2207620.889619
1780.1139910.2279820.886009
1790.1274770.2549540.872523
1800.1088360.2176730.891164
1810.127370.2547390.87263
1820.1745780.3491560.825422
1830.1661120.3322240.833888
1840.1598520.3197040.840148
1850.1480420.2960850.851958
1860.1992430.3984850.800757
1870.1753240.3506480.824676
1880.1516720.3033440.848328
1890.1393250.278650.860675
1900.1805410.3610830.819459
1910.2194570.4389140.780543
1920.230410.460820.76959
1930.2027550.405510.797245
1940.1797540.3595080.820246
1950.1543870.3087750.845613
1960.1468650.2937310.853135
1970.2234230.4468470.776577
1980.2184830.4369660.781517
1990.2306380.4612770.769362
2000.2001980.4003960.799802
2010.1978640.3957280.802136
2020.1808140.3616280.819186
2030.1713510.3427030.828649
2040.167690.335380.83231
2050.1562680.3125350.843732
2060.1335260.2670520.866474
2070.1116370.2232740.888363
2080.102760.205520.89724
2090.08552190.1710440.914478
2100.06961230.1392250.930388
2110.05838990.116780.94161
2120.05769030.1153810.94231
2130.08757350.1751470.912427
2140.07303930.1460790.926961
2150.06588120.1317620.934119
2160.05389560.1077910.946104
2170.04249410.08498820.957506
2180.03300390.06600780.966996
2190.06203470.1240690.937965
2200.05065510.101310.949345
2210.04245130.08490260.957549
2220.05061020.101220.94939
2230.04855520.09711030.951445
2240.06342320.1268460.936577
2250.05345590.1069120.946544
2260.05821280.1164260.941787
2270.09181650.1836330.908183
2280.09392330.1878470.906077
2290.2051720.4103440.794828
2300.1798370.3596730.820163
2310.150480.300960.84952
2320.1220860.2441730.877914
2330.2916550.583310.708345
2340.305680.6113590.69432
2350.3697970.7395930.630203
2360.3128130.6256260.687187
2370.3684090.7368190.631591
2380.4442770.8885540.555723
2390.4489450.897890.551055
2400.407910.8158190.59209
2410.3463670.6927330.653633
2420.2929920.5859830.707008
2430.2401460.4802920.759854
2440.1921570.3843140.807843
2450.1600760.3201520.839924
2460.2254960.4509920.774504
2470.1688760.3377510.831124
2480.1288720.2577440.871128
2490.2034790.4069580.796521
2500.2323050.4646090.767695
2510.1645290.3290570.835471
2520.3016580.6033170.698342
2530.5925050.8149890.407495
2540.8922550.2154890.107745
2550.8370790.3258420.162921






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level360.145749NOK
10% type I error level750.303644NOK

\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 & 36 & 0.145749 & NOK \tabularnewline
10% type I error level & 75 & 0.303644 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=251376&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]36[/C][C]0.145749[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]75[/C][C]0.303644[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=251376&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=251376&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 level360.145749NOK
10% type I error level750.303644NOK


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 = 5 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 5 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
par3 <- 'No Linear Trend'
par2 <- 'Do not include Seasonal Dummies'
par1 <- ''
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')
}