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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 03 Aug 2015 01:07:21 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Aug/03/t14385605704kdyhwviwpk2gc5.htm/, Retrieved Wed, 15 May 2024 12:44:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279828, Retrieved Wed, 15 May 2024 12:44:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2013-11-04 07:18:26] [0307e7a6407eb638caabc417e3a6b260]
- RMPD    [Multiple Regression] [] [2015-08-03 00:07:21] [3e99441ea7f7f69c8fa4628f6be951c3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
41 38 13 12 14 12 53
39 32 16 11 18 11 83
30 35 19 15 11 14 66
31 33 15 6 12 12 67
34 37 14 13 16 21 76
35 29 13 10 18 12 78
39 31 19 12 14 22 53
34 36 15 14 14 11 80
36 35 14 12 15 10 74
37 38 15 9 15 13 76
38 31 16 10 17 10 79
36 34 16 12 19 8 54
38 35 16 12 10 15 67
39 38 16 11 16 14 54
33 37 17 15 18 10 87
32 33 15 12 14 14 58
36 32 15 10 14 14 75
38 38 20 12 17 11 88
39 38 18 11 14 10 64
32 32 16 12 16 13 57
32 33 16 11 18 9.5 66
31 31 16 12 11 14 68
39 38 19 13 14 12 54
37 39 16 11 12 14 56
39 32 17 12 17 11 86
41 32 17 13 9 9 80
36 35 16 10 16 11 76
33 37 15 14 14 15 69
33 33 16 12 15 14 78
34 33 14 10 11 13 67
31 31 15 12 16 9 80
27 32 12 8 13 15 54
37 31 14 10 17 10 71
34 37 16 12 15 11 84
34 30 14 12 14 13 74
32 33 10 7 16 8 71
29 31 10 9 9 20 63
36 33 14 12 15 12 71
29 31 16 10 17 10 76
35 33 16 10 13 10 69
37 32 16 10 15 9 74
34 33 14 12 16 14 75
38 32 20 15 16 8 54
35 33 14 10 12 14 52
38 28 14 10 15 11 69
37 35 11 12 11 13 68
38 39 14 13 15 9 65
33 34 15 11 15 11 75
36 38 16 11 17 15 74
38 32 14 12 13 11 75
32 38 16 14 16 10 72
32 30 14 10 14 14 67
32 33 12 12 11 18 63
34 38 16 13 12 14 62
32 32 9 5 12 11 63
37 35 14 6 15 14.5 76
39 34 16 12 16 13 74
29 34 16 12 15 9 67
37 36 15 11 12 10 73
35 34 16 10 12 15 70
30 28 12 7 8 20 53
38 34 16 12 13 12 77
34 35 16 14 11 12 80
31 35 14 11 14 14 52
34 31 16 12 15 13 54
35 37 17 13 10 11 80
36 35 18 14 11 17 66
30 27 18 11 12 12 73
39 40 12 12 15 13 63
35 37 16 12 15 14 69
38 36 10 8 14 13 67
31 38 14 11 16 15 54
34 39 18 14 15 13 81
38 41 18 14 15 10 69
34 27 16 12 13 11 84
39 30 17 9 12 19 80
37 37 16 13 17 13 70
34 31 16 11 13 17 69
28 31 13 12 15 13 77
37 27 16 12 13 9 54
33 36 16 12 15 11 79
35 37 16 12 15 9 71
37 33 15 12 16 12 73
32 34 15 11 15 12 72
33 31 16 10 14 13 77
38 39 14 9 15 13 75
33 34 16 12 14 12 69
29 32 16 12 13 15 54
33 33 15 12 7 22 70
31 36 12 9 17 13 73
36 32 17 15 13 15 54
35 41 16 12 15 13 77
32 28 15 12 14 15 82
29 30 13 12 13 12.5 80
39 36 16 10 16 11 80
37 35 16 13 12 16 69
35 31 16 9 14 11 78
37 34 16 12 17 11 81
32 36 14 10 15 10 76
38 36 16 14 17 10 76
37 35 16 11 12 16 73
36 37 20 15 16 12 85
32 28 15 11 11 11 66
33 39 16 11 15 16 79
40 32 13 12 9 19 68
38 35 17 12 16 11 76
41 39 16 12 15 16 71
36 35 16 11 10 15 54
43 42 12 7 10 24 46
30 34 16 12 15 14 85
31 33 16 14 11 15 74
32 41 17 11 13 11 88
32 33 13 11 14 15 38
37 34 12 10 18 12 76
37 32 18 13 16 10 86
33 40 14 13 14 14 54
34 40 14 8 14 13 67
33 35 13 11 14 9 69
38 36 16 12 14 15 90
33 37 13 11 12 15 54
31 27 16 13 14 14 76
38 39 13 12 15 11 89
37 38 16 14 15 8 76
36 31 15 13 15 11 73
31 33 16 15 13 11 79
39 32 15 10 17 8 90
44 39 17 11 17 10 74
33 36 15 9 19 11 81
35 33 12 11 15 13 72
32 33 16 10 13 11 71
28 32 10 11 9 20 66
40 37 16 8 15 10 77
27 30 12 11 15 15 65
37 38 14 12 15 12 74
32 29 15 12 16 14 85
28 22 13 9 11 23 54
34 35 15 11 14 14 63
30 35 11 10 11 16 54
35 34 12 8 15 11 64
31 35 11 9 13 12 69
32 34 16 8 15 10 54
30 37 15 9 16 14 84
30 35 17 15 14 12 86
31 23 16 11 15 12 77
40 31 10 8 16 11 89
32 27 18 13 16 12 76
36 36 13 12 11 13 60
32 31 16 12 12 11 75
35 32 13 9 9 19 73
38 39 10 7 16 12 85
42 37 15 13 13 17 79
34 38 16 9 16 9 71
35 39 16 6 12 12 72
38 34 14 8 9 19 69
33 31 10 8 13 18 78
36 32 17 15 13 15 54
32 37 13 6 14 14 69
33 36 15 9 19 11 81
34 32 16 11 13 9 84
32 38 12 8 12 18 84
34 36 13 8 13 16 69
27 26 13 10 10 24 66
31 26 12 8 14 14 81
38 33 17 14 16 20 82
34 39 15 10 10 18 72
24 30 10 8 11 23 54
30 33 14 11 14 12 78
26 25 11 12 12 14 74
34 38 13 12 9 16 82
27 37 16 12 9 18 73
37 31 12 5 11 20 55
36 37 16 12 16 12 72
41 35 12 10 9 12 78
29 25 9 7 13 17 59
36 28 12 12 16 13 72
32 35 15 11 13 9 78
37 33 12 8 9 16 68
30 30 12 9 12 18 69
31 31 14 10 16 10 67
38 37 12 9 11 14 74
36 36 16 12 14 11 54
35 30 11 6 13 9 67
31 36 19 15 15 11 70
38 32 15 12 14 10 80
22 28 8 12 16 11 89
32 36 16 12 13 19 76
36 34 17 11 14 14 74
39 31 12 7 15 12 87
28 28 11 7 13 14 54
32 36 11 5 11 21 61
32 36 14 12 11 13 38
38 40 16 12 14 10 75
32 33 12 3 15 15 69
35 37 16 11 11 16 62
32 32 13 10 15 14 72
37 38 15 12 12 12 70
34 31 16 9 14 19 79
33 37 16 12 14 15 87
33 33 14 9 8 19 62
26 32 16 12 13 13 77
30 30 16 12 9 17 69
24 30 14 10 15 12 69
34 31 11 9 17 11 75
34 32 12 12 13 14 54
33 34 15 8 15 11 72
34 36 15 11 15 13 74
35 37 16 11 14 12 85
35 36 16 12 16 15 52
36 33 11 10 13 14 70
34 33 15 10 16 12 84
34 33 12 12 9 17 64
41 44 12 12 16 11 84
32 39 15 11 11 18 87
30 32 15 8 10 13 79
35 35 16 12 11 17 67
28 25 14 10 15 13 65
33 35 17 11 17 11 85
39 34 14 10 14 12 83
36 35 13 8 8 22 61
36 39 15 12 15 14 82
35 33 13 12 11 12 76
38 36 14 10 16 12 58
33 32 15 12 10 17 72
31 32 12 9 15 9 72
34 36 13 9 9 21 38
32 36 8 6 16 10 78
31 32 14 10 19 11 54
33 34 14 9 12 12 63
34 33 11 9 8 23 66
34 35 12 9 11 13 70
34 30 13 6 14 12 71
33 38 10 10 9 16 67
32 34 16 6 15 9 58
41 33 18 14 13 17 72
34 32 13 10 16 9 72
36 31 11 10 11 14 70
37 30 4 6 12 17 76
36 27 13 12 13 13 50
29 31 16 12 10 11 72
37 30 10 7 11 12 72
27 32 12 8 12 10 88
35 35 12 11 8 19 53
28 28 10 3 12 16 58
35 33 13 6 12 16 66
37 31 15 10 15 14 82
29 35 12 8 11 20 69
32 35 14 9 13 15 68
36 32 10 9 14 23 44
19 21 12 8 10 20 56
21 20 12 9 12 16 53
31 34 11 7 15 14 70
33 32 10 7 13 17 78
36 34 12 6 13 11 71
33 32 16 9 13 13 72
37 33 12 10 12 17 68
34 33 14 11 12 15 67
35 37 16 12 9 21 75
31 32 14 8 9 18 62
37 34 13 11 15 15 67
35 30 4 3 10 8 83
27 30 15 11 14 12 64
34 38 11 12 15 12 68
40 36 11 7 7 22 62
29 32 14 9 14 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 Maurice George Kendall' @ kendall.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 Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279828&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279828&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279828&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 Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 14.6535 + 0.0142012Connected[t] + 0.0102798Separate[t] + 0.11286Learning[t] -0.00764117Software[t] -0.376277Depression[t] + 0.0230057Sport1[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Happiness[t] =  +  14.6535 +  0.0142012Connected[t] +  0.0102798Separate[t] +  0.11286Learning[t] -0.00764117Software[t] -0.376277Depression[t] +  0.0230057Sport1[t]  + e[t] \tabularnewline
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279828&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Happiness[t] =  +  14.6535 +  0.0142012Connected[t] +  0.0102798Separate[t] +  0.11286Learning[t] -0.00764117Software[t] -0.376277Depression[t] +  0.0230057Sport1[t]  + e[t][/C][/ROW]
[ROW][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279828&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279828&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
Happiness[t] = + 14.6535 + 0.0142012Connected[t] + 0.0102798Separate[t] + 0.11286Learning[t] -0.00764117Software[t] -0.376277Depression[t] + 0.0230057Sport1[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)+14.65 1.832+7.9990e+00 4.293e-14 2.147e-14
Connected+0.0142 0.03722+3.8160e-01 0.7031 0.3516
Separate+0.01028 0.03826+2.6870e-01 0.7884 0.3942
Learning+0.1129 0.06652+1.6970e+00 0.09098 0.04549
Software-0.007641 0.06878-1.1110e-01 0.9116 0.4558
Depression-0.3763 0.03882-9.6920e+00 3.924e-19 1.962e-19
Sport1+0.02301 0.01275+1.8040e+00 0.07235 0.03618

\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) & +14.65 &  1.832 & +7.9990e+00 &  4.293e-14 &  2.147e-14 \tabularnewline
Connected & +0.0142 &  0.03722 & +3.8160e-01 &  0.7031 &  0.3516 \tabularnewline
Separate & +0.01028 &  0.03826 & +2.6870e-01 &  0.7884 &  0.3942 \tabularnewline
Learning & +0.1129 &  0.06652 & +1.6970e+00 &  0.09098 &  0.04549 \tabularnewline
Software & -0.007641 &  0.06878 & -1.1110e-01 &  0.9116 &  0.4558 \tabularnewline
Depression & -0.3763 &  0.03882 & -9.6920e+00 &  3.924e-19 &  1.962e-19 \tabularnewline
Sport1 & +0.02301 &  0.01275 & +1.8040e+00 &  0.07235 &  0.03618 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279828&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]+14.65[/C][C] 1.832[/C][C]+7.9990e+00[/C][C] 4.293e-14[/C][C] 2.147e-14[/C][/ROW]
[ROW][C]Connected[/C][C]+0.0142[/C][C] 0.03722[/C][C]+3.8160e-01[/C][C] 0.7031[/C][C] 0.3516[/C][/ROW]
[ROW][C]Separate[/C][C]+0.01028[/C][C] 0.03826[/C][C]+2.6870e-01[/C][C] 0.7884[/C][C] 0.3942[/C][/ROW]
[ROW][C]Learning[/C][C]+0.1129[/C][C] 0.06652[/C][C]+1.6970e+00[/C][C] 0.09098[/C][C] 0.04549[/C][/ROW]
[ROW][C]Software[/C][C]-0.007641[/C][C] 0.06878[/C][C]-1.1110e-01[/C][C] 0.9116[/C][C] 0.4558[/C][/ROW]
[ROW][C]Depression[/C][C]-0.3763[/C][C] 0.03882[/C][C]-9.6920e+00[/C][C] 3.924e-19[/C][C] 1.962e-19[/C][/ROW]
[ROW][C]Sport1[/C][C]+0.02301[/C][C] 0.01275[/C][C]+1.8040e+00[/C][C] 0.07235[/C][C] 0.03618[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279828&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279828&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)+14.65 1.832+7.9990e+00 4.293e-14 2.147e-14
Connected+0.0142 0.03722+3.8160e-01 0.7031 0.3516
Separate+0.01028 0.03826+2.6870e-01 0.7884 0.3942
Learning+0.1129 0.06652+1.6970e+00 0.09098 0.04549
Software-0.007641 0.06878-1.1110e-01 0.9116 0.4558
Depression-0.3763 0.03882-9.6920e+00 3.924e-19 1.962e-19
Sport1+0.02301 0.01275+1.8040e+00 0.07235 0.03618






Multiple Linear Regression - Regression Statistics
Multiple R 0.6025
R-squared 0.363
Adjusted R-squared 0.3481
F-TEST (value) 24.41
F-TEST (DF numerator)6
F-TEST (DF denominator)257
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 2.017
Sum Squared Residuals 1046

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R &  0.6025 \tabularnewline
R-squared &  0.363 \tabularnewline
Adjusted R-squared &  0.3481 \tabularnewline
F-TEST (value) &  24.41 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 257 \tabularnewline
p-value &  0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation &  2.017 \tabularnewline
Sum Squared Residuals &  1046 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279828&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C] 0.6025[/C][/ROW]
[ROW][C]R-squared[/C][C] 0.363[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C] 0.3481[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C] 24.41[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]257[/C][/ROW]
[ROW][C]p-value[/C][C] 0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C] 2.017[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C] 1046[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279828&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279828&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 R 0.6025
R-squared 0.363
Adjusted R-squared 0.3481
F-TEST (value) 24.41
F-TEST (DF numerator)6
F-TEST (DF denominator)257
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 2.017
Sum Squared Residuals 1046






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1 14 13.71 0.2942
2 18 15.03 2.972
3 11 13.72-2.72
4 12 14.11-2.106
5 16 10.84 5.156
6 18 14.12 3.881
7 14 10.52 3.48
8 14 14.79-0.7937
9 15 14.95 0.04746
10 15 14.05 0.9495
11 17 15.3 1.704
12 19 15.46 3.54
13 10 13.16-3.164
14 16 13.29 2.706
15 18 15.55 2.455
16 14 13.11 0.8852
17 14 13.57 0.4323
18 17 15.63 1.365
19 14 15.26-1.255
20 16 13.57 2.429
21 18 15.11 2.887
22 11 13.42-2.423
23 14 14.37-0.37
24 12 13.32-1.322
25 17 15.2 1.797
26 9 15.84-6.838
27 16 14.86 1.137
28 14 13.03 0.9683
29 15 13.7 1.298
30 11 13.63-2.629
31 16 15.47 0.5324
32 13 12.26 0.7428
33 17 14.87 2.128
34 15 15.02-0.02419
35 14 13.74 0.2561
36 16 15.15 0.8545
37 9 10.37-1.368
38 15 14.11 0.8896
39 17 15.1 1.901
40 13 15.04-2.044
41 15 15.55-0.5532
42 16 13.42 2.579
43 16 15.9 0.1032
44 12 12.92-0.9218
45 15 14.43 0.567
46 11 13.36-2.361
47 15 15.18-0.1836
48 15 14.67 0.3331
49 17 13.34 3.665
50 13 14.6-1.597
51 16 15.09 0.909
52 14 13.19 0.8065
53 11 11.39-0.3862
54 12 13.39-1.392
55 12 13.72-1.725
56 15 13.37 1.635
57 16 14.08 1.918
58 15 15.28-0.2838
59 12 15.07-3.075
60 12 13.2-1.196
61 8 10.36-2.362
62 13 14.51-1.513
63 11 14.52-3.52
64 14 12.88 1.122
65 15 13.52 1.48
66 10 15.05-5.052
67 11 12.57-1.571
68 12 14.47-2.469
69 15 13.44 1.561
70 15 13.56 1.436
71 14 13.28 0.7195
72 16 12.58 3.421
73 15 14.43 0.5664
74 15 15.36-0.3637
75 13 14.92-1.921
76 12 12.06-0.05679
77 17 13.98 3.015
78 13 12.37 0.6326
79 15 13.63 1.375
80 13 15.03-2.026
81 15 14.88 0.1153
82 15 15.49-0.4919
83 16 14.28 1.717
84 15 14.21 0.7926
85 14 14.05-0.05
86 15 13.94 1.061
87 14 14.26-0.2578
88 13 12.71 0.2935
89 7 10.39-3.395
90 17 13.54 3.463
91 13 12.9 0.1041
92 15 14.17 0.8341
93 14 13.24 0.7607
94 13 13.89-0.8862
95 16 15.01 0.9918
96 12 12.81-0.8121
97 14 14.86-0.8616
98 17 14.97 2.033
99 15 14.97 0.0327
100 17 15.25 1.752
101 12 12.92-0.9194
102 16 15.13 0.8722
103 11 14.38-3.384
104 15 13.04 1.958
105 9 11.34-2.341
106 16 14.99 1.011
107 15 12.96 2.036
108 10 12.84-2.844
109 10 9.024 0.9756
110 15 13.83 1.169
111 11 13.19-2.19
112 13 15.25-2.249
113 14 12.06 1.94
114 18 14.04 3.961
115 16 15.66 0.3442
116 14 12.99 1.012
117 14 13.72 0.2838
118 14 15.07-1.066
119 14 13.7 0.2964
120 12 12.48-0.4838
121 14 13.56 0.4417
122 15 14.88 0.122
123 15 16.01-1.007
124 15 14.62 0.3826
125 13 14.8-1.803
126 17 16.21 0.7869
127 17 15.45 1.547
128 19 14.84 4.159
129 15 13.52 1.475
130 13 14.67-1.671
131 9 10.42-1.417
132 15 15.36-0.3552
133 15 12.47 2.533
134 15 14.24 0.755
135 16 13.69 2.305
136 11 9.264 1.736
137 14 13.29 0.7135
138 11 11.83-0.8263
139 15 14.13 0.8734
140 13 13.7-0.6983
141 15 14.68 0.3184
142 16 13.75 2.251
143 14 14.71-0.7065
144 15 14.31 0.692
145 16 14.52 1.484
146 16 14.55 1.449
147 11 13.4-2.399
148 12 14.73-2.727
149 9 11.41-2.408
150 16 14.11 1.891
151 13 12.64 0.3554
152 16 15.51 0.4891
153 12 14.45-2.452
154 9 11.5-2.5
155 13 11.53 1.47
156 13 12.9 0.1041
157 14 13.23 0.7709
158 19 14.84 4.159
159 13 15.73-2.733
160 12 11.95 0.04874
161 13 12.48 0.5206
162 10 9.183 0.8173
163 14 13.25 0.7502
164 16 11.71 4.295
165 10 12.04-2.037
166 11 8.958 2.042
167 14 14.19-0.1939
168 12 12.86-0.864
169 9 12.77-3.768
170 9 12.04-3.038
171 11 10.55 0.4465
172 16 14.4 1.6
173 9 14.15-5.153
174 13 11.25 1.755
175 16 13.48 2.52
176 13 15.48-2.485
177 9 12.36-3.355
178 12 11.49 0.5121
179 16 14.69 1.305
180 11 13.29-2.294
181 14 14.35-0.3521
182 13 14.81-1.809
183 15 14.96 0.03511
184 14 15.2-1.201
185 16 13.97 2.027
186 13 11.79 1.209
187 14 13.78 0.2166
188 15 14.31 0.687
189 13 12.5 0.4986
190 11 10.18 0.8172
191 11 12.95-1.949
192 14 15.28-1.281
193 15 12.72 2.278
194 11 12.66-1.659
195 15 13.22 1.784
196 12 14.27-2.266
197 14 11.86 2.14
198 14 13.57 0.4261
199 8 11.25-3.25
200 13 13.95-0.9456
201 9 12.29-3.293
202 15 13.88 1.122
203 17 14.21 2.786
204 13 12.7 0.2976
205 15 14.62 0.3792
206 15 13.93 1.074
207 14 14.69-0.6928
208 16 12.79 3.213
209 13 13.01-0.01155
210 16 14.51 1.491
211 9 11.81-2.814
212 16 14.74 1.256
213 11 12.35-1.346
214 10 13.97-3.966
215 11 12.37-1.369
216 15 13.42 1.584
217 17 15.13 1.867
218 14 14.45-0.4546
219 8 10.06-2.056
220 15 13.79 1.215
221 11 14.1-3.098
222 16 13.89 2.114
223 10 12.31-2.312
224 15 14.98 0.02184
225 9 9.877-0.8772
226 16 14.37 1.633
227 19 14.03 4.97
228 12 13.92-1.917
229 8 9.512-1.512
230 11 13.5-2.5
231 14 13.98 0.01585
232 9 12.09-3.086
233 15 15.17-0.1652
234 13 12.76 0.2408
235 16 15.13 0.874
236 11 12.99-1.991
237 12 11.24 0.7553
238 13 13.08-0.07647
239 10 14.62-4.615
240 11 13.7-2.704
241 12 14.92-2.921
242 8 10.85-2.851
243 12 11.76 0.2415
244 12 12.41-0.4091
245 15 13.73 1.267
246 11 10.78 0.2198
247 13 12.9 0.1008
248 14 8.911 5.089
249 10 10.2-0.1952
250 12 11.64 0.3583
251 15 12.97 2.026
252 13 11.92 1.076
253 13 14.32-1.317
254 13 13.95-0.9529
255 12 11.96 0.03623
256 12 12.87-0.8688
257 9 11.07-2.069
258 9 11.6-2.595
259 15 12.81 2.191
260 10 14.79-4.787
261 14 13.91 0.08878
262 15 13.73 1.274
263 7 9.928-2.928
264 14 14.05-0.04665

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 &  14 &  13.71 &  0.2942 \tabularnewline
2 &  18 &  15.03 &  2.972 \tabularnewline
3 &  11 &  13.72 & -2.72 \tabularnewline
4 &  12 &  14.11 & -2.106 \tabularnewline
5 &  16 &  10.84 &  5.156 \tabularnewline
6 &  18 &  14.12 &  3.881 \tabularnewline
7 &  14 &  10.52 &  3.48 \tabularnewline
8 &  14 &  14.79 & -0.7937 \tabularnewline
9 &  15 &  14.95 &  0.04746 \tabularnewline
10 &  15 &  14.05 &  0.9495 \tabularnewline
11 &  17 &  15.3 &  1.704 \tabularnewline
12 &  19 &  15.46 &  3.54 \tabularnewline
13 &  10 &  13.16 & -3.164 \tabularnewline
14 &  16 &  13.29 &  2.706 \tabularnewline
15 &  18 &  15.55 &  2.455 \tabularnewline
16 &  14 &  13.11 &  0.8852 \tabularnewline
17 &  14 &  13.57 &  0.4323 \tabularnewline
18 &  17 &  15.63 &  1.365 \tabularnewline
19 &  14 &  15.26 & -1.255 \tabularnewline
20 &  16 &  13.57 &  2.429 \tabularnewline
21 &  18 &  15.11 &  2.887 \tabularnewline
22 &  11 &  13.42 & -2.423 \tabularnewline
23 &  14 &  14.37 & -0.37 \tabularnewline
24 &  12 &  13.32 & -1.322 \tabularnewline
25 &  17 &  15.2 &  1.797 \tabularnewline
26 &  9 &  15.84 & -6.838 \tabularnewline
27 &  16 &  14.86 &  1.137 \tabularnewline
28 &  14 &  13.03 &  0.9683 \tabularnewline
29 &  15 &  13.7 &  1.298 \tabularnewline
30 &  11 &  13.63 & -2.629 \tabularnewline
31 &  16 &  15.47 &  0.5324 \tabularnewline
32 &  13 &  12.26 &  0.7428 \tabularnewline
33 &  17 &  14.87 &  2.128 \tabularnewline
34 &  15 &  15.02 & -0.02419 \tabularnewline
35 &  14 &  13.74 &  0.2561 \tabularnewline
36 &  16 &  15.15 &  0.8545 \tabularnewline
37 &  9 &  10.37 & -1.368 \tabularnewline
38 &  15 &  14.11 &  0.8896 \tabularnewline
39 &  17 &  15.1 &  1.901 \tabularnewline
40 &  13 &  15.04 & -2.044 \tabularnewline
41 &  15 &  15.55 & -0.5532 \tabularnewline
42 &  16 &  13.42 &  2.579 \tabularnewline
43 &  16 &  15.9 &  0.1032 \tabularnewline
44 &  12 &  12.92 & -0.9218 \tabularnewline
45 &  15 &  14.43 &  0.567 \tabularnewline
46 &  11 &  13.36 & -2.361 \tabularnewline
47 &  15 &  15.18 & -0.1836 \tabularnewline
48 &  15 &  14.67 &  0.3331 \tabularnewline
49 &  17 &  13.34 &  3.665 \tabularnewline
50 &  13 &  14.6 & -1.597 \tabularnewline
51 &  16 &  15.09 &  0.909 \tabularnewline
52 &  14 &  13.19 &  0.8065 \tabularnewline
53 &  11 &  11.39 & -0.3862 \tabularnewline
54 &  12 &  13.39 & -1.392 \tabularnewline
55 &  12 &  13.72 & -1.725 \tabularnewline
56 &  15 &  13.37 &  1.635 \tabularnewline
57 &  16 &  14.08 &  1.918 \tabularnewline
58 &  15 &  15.28 & -0.2838 \tabularnewline
59 &  12 &  15.07 & -3.075 \tabularnewline
60 &  12 &  13.2 & -1.196 \tabularnewline
61 &  8 &  10.36 & -2.362 \tabularnewline
62 &  13 &  14.51 & -1.513 \tabularnewline
63 &  11 &  14.52 & -3.52 \tabularnewline
64 &  14 &  12.88 &  1.122 \tabularnewline
65 &  15 &  13.52 &  1.48 \tabularnewline
66 &  10 &  15.05 & -5.052 \tabularnewline
67 &  11 &  12.57 & -1.571 \tabularnewline
68 &  12 &  14.47 & -2.469 \tabularnewline
69 &  15 &  13.44 &  1.561 \tabularnewline
70 &  15 &  13.56 &  1.436 \tabularnewline
71 &  14 &  13.28 &  0.7195 \tabularnewline
72 &  16 &  12.58 &  3.421 \tabularnewline
73 &  15 &  14.43 &  0.5664 \tabularnewline
74 &  15 &  15.36 & -0.3637 \tabularnewline
75 &  13 &  14.92 & -1.921 \tabularnewline
76 &  12 &  12.06 & -0.05679 \tabularnewline
77 &  17 &  13.98 &  3.015 \tabularnewline
78 &  13 &  12.37 &  0.6326 \tabularnewline
79 &  15 &  13.63 &  1.375 \tabularnewline
80 &  13 &  15.03 & -2.026 \tabularnewline
81 &  15 &  14.88 &  0.1153 \tabularnewline
82 &  15 &  15.49 & -0.4919 \tabularnewline
83 &  16 &  14.28 &  1.717 \tabularnewline
84 &  15 &  14.21 &  0.7926 \tabularnewline
85 &  14 &  14.05 & -0.05 \tabularnewline
86 &  15 &  13.94 &  1.061 \tabularnewline
87 &  14 &  14.26 & -0.2578 \tabularnewline
88 &  13 &  12.71 &  0.2935 \tabularnewline
89 &  7 &  10.39 & -3.395 \tabularnewline
90 &  17 &  13.54 &  3.463 \tabularnewline
91 &  13 &  12.9 &  0.1041 \tabularnewline
92 &  15 &  14.17 &  0.8341 \tabularnewline
93 &  14 &  13.24 &  0.7607 \tabularnewline
94 &  13 &  13.89 & -0.8862 \tabularnewline
95 &  16 &  15.01 &  0.9918 \tabularnewline
96 &  12 &  12.81 & -0.8121 \tabularnewline
97 &  14 &  14.86 & -0.8616 \tabularnewline
98 &  17 &  14.97 &  2.033 \tabularnewline
99 &  15 &  14.97 &  0.0327 \tabularnewline
100 &  17 &  15.25 &  1.752 \tabularnewline
101 &  12 &  12.92 & -0.9194 \tabularnewline
102 &  16 &  15.13 &  0.8722 \tabularnewline
103 &  11 &  14.38 & -3.384 \tabularnewline
104 &  15 &  13.04 &  1.958 \tabularnewline
105 &  9 &  11.34 & -2.341 \tabularnewline
106 &  16 &  14.99 &  1.011 \tabularnewline
107 &  15 &  12.96 &  2.036 \tabularnewline
108 &  10 &  12.84 & -2.844 \tabularnewline
109 &  10 &  9.024 &  0.9756 \tabularnewline
110 &  15 &  13.83 &  1.169 \tabularnewline
111 &  11 &  13.19 & -2.19 \tabularnewline
112 &  13 &  15.25 & -2.249 \tabularnewline
113 &  14 &  12.06 &  1.94 \tabularnewline
114 &  18 &  14.04 &  3.961 \tabularnewline
115 &  16 &  15.66 &  0.3442 \tabularnewline
116 &  14 &  12.99 &  1.012 \tabularnewline
117 &  14 &  13.72 &  0.2838 \tabularnewline
118 &  14 &  15.07 & -1.066 \tabularnewline
119 &  14 &  13.7 &  0.2964 \tabularnewline
120 &  12 &  12.48 & -0.4838 \tabularnewline
121 &  14 &  13.56 &  0.4417 \tabularnewline
122 &  15 &  14.88 &  0.122 \tabularnewline
123 &  15 &  16.01 & -1.007 \tabularnewline
124 &  15 &  14.62 &  0.3826 \tabularnewline
125 &  13 &  14.8 & -1.803 \tabularnewline
126 &  17 &  16.21 &  0.7869 \tabularnewline
127 &  17 &  15.45 &  1.547 \tabularnewline
128 &  19 &  14.84 &  4.159 \tabularnewline
129 &  15 &  13.52 &  1.475 \tabularnewline
130 &  13 &  14.67 & -1.671 \tabularnewline
131 &  9 &  10.42 & -1.417 \tabularnewline
132 &  15 &  15.36 & -0.3552 \tabularnewline
133 &  15 &  12.47 &  2.533 \tabularnewline
134 &  15 &  14.24 &  0.755 \tabularnewline
135 &  16 &  13.69 &  2.305 \tabularnewline
136 &  11 &  9.264 &  1.736 \tabularnewline
137 &  14 &  13.29 &  0.7135 \tabularnewline
138 &  11 &  11.83 & -0.8263 \tabularnewline
139 &  15 &  14.13 &  0.8734 \tabularnewline
140 &  13 &  13.7 & -0.6983 \tabularnewline
141 &  15 &  14.68 &  0.3184 \tabularnewline
142 &  16 &  13.75 &  2.251 \tabularnewline
143 &  14 &  14.71 & -0.7065 \tabularnewline
144 &  15 &  14.31 &  0.692 \tabularnewline
145 &  16 &  14.52 &  1.484 \tabularnewline
146 &  16 &  14.55 &  1.449 \tabularnewline
147 &  11 &  13.4 & -2.399 \tabularnewline
148 &  12 &  14.73 & -2.727 \tabularnewline
149 &  9 &  11.41 & -2.408 \tabularnewline
150 &  16 &  14.11 &  1.891 \tabularnewline
151 &  13 &  12.64 &  0.3554 \tabularnewline
152 &  16 &  15.51 &  0.4891 \tabularnewline
153 &  12 &  14.45 & -2.452 \tabularnewline
154 &  9 &  11.5 & -2.5 \tabularnewline
155 &  13 &  11.53 &  1.47 \tabularnewline
156 &  13 &  12.9 &  0.1041 \tabularnewline
157 &  14 &  13.23 &  0.7709 \tabularnewline
158 &  19 &  14.84 &  4.159 \tabularnewline
159 &  13 &  15.73 & -2.733 \tabularnewline
160 &  12 &  11.95 &  0.04874 \tabularnewline
161 &  13 &  12.48 &  0.5206 \tabularnewline
162 &  10 &  9.183 &  0.8173 \tabularnewline
163 &  14 &  13.25 &  0.7502 \tabularnewline
164 &  16 &  11.71 &  4.295 \tabularnewline
165 &  10 &  12.04 & -2.037 \tabularnewline
166 &  11 &  8.958 &  2.042 \tabularnewline
167 &  14 &  14.19 & -0.1939 \tabularnewline
168 &  12 &  12.86 & -0.864 \tabularnewline
169 &  9 &  12.77 & -3.768 \tabularnewline
170 &  9 &  12.04 & -3.038 \tabularnewline
171 &  11 &  10.55 &  0.4465 \tabularnewline
172 &  16 &  14.4 &  1.6 \tabularnewline
173 &  9 &  14.15 & -5.153 \tabularnewline
174 &  13 &  11.25 &  1.755 \tabularnewline
175 &  16 &  13.48 &  2.52 \tabularnewline
176 &  13 &  15.48 & -2.485 \tabularnewline
177 &  9 &  12.36 & -3.355 \tabularnewline
178 &  12 &  11.49 &  0.5121 \tabularnewline
179 &  16 &  14.69 &  1.305 \tabularnewline
180 &  11 &  13.29 & -2.294 \tabularnewline
181 &  14 &  14.35 & -0.3521 \tabularnewline
182 &  13 &  14.81 & -1.809 \tabularnewline
183 &  15 &  14.96 &  0.03511 \tabularnewline
184 &  14 &  15.2 & -1.201 \tabularnewline
185 &  16 &  13.97 &  2.027 \tabularnewline
186 &  13 &  11.79 &  1.209 \tabularnewline
187 &  14 &  13.78 &  0.2166 \tabularnewline
188 &  15 &  14.31 &  0.687 \tabularnewline
189 &  13 &  12.5 &  0.4986 \tabularnewline
190 &  11 &  10.18 &  0.8172 \tabularnewline
191 &  11 &  12.95 & -1.949 \tabularnewline
192 &  14 &  15.28 & -1.281 \tabularnewline
193 &  15 &  12.72 &  2.278 \tabularnewline
194 &  11 &  12.66 & -1.659 \tabularnewline
195 &  15 &  13.22 &  1.784 \tabularnewline
196 &  12 &  14.27 & -2.266 \tabularnewline
197 &  14 &  11.86 &  2.14 \tabularnewline
198 &  14 &  13.57 &  0.4261 \tabularnewline
199 &  8 &  11.25 & -3.25 \tabularnewline
200 &  13 &  13.95 & -0.9456 \tabularnewline
201 &  9 &  12.29 & -3.293 \tabularnewline
202 &  15 &  13.88 &  1.122 \tabularnewline
203 &  17 &  14.21 &  2.786 \tabularnewline
204 &  13 &  12.7 &  0.2976 \tabularnewline
205 &  15 &  14.62 &  0.3792 \tabularnewline
206 &  15 &  13.93 &  1.074 \tabularnewline
207 &  14 &  14.69 & -0.6928 \tabularnewline
208 &  16 &  12.79 &  3.213 \tabularnewline
209 &  13 &  13.01 & -0.01155 \tabularnewline
210 &  16 &  14.51 &  1.491 \tabularnewline
211 &  9 &  11.81 & -2.814 \tabularnewline
212 &  16 &  14.74 &  1.256 \tabularnewline
213 &  11 &  12.35 & -1.346 \tabularnewline
214 &  10 &  13.97 & -3.966 \tabularnewline
215 &  11 &  12.37 & -1.369 \tabularnewline
216 &  15 &  13.42 &  1.584 \tabularnewline
217 &  17 &  15.13 &  1.867 \tabularnewline
218 &  14 &  14.45 & -0.4546 \tabularnewline
219 &  8 &  10.06 & -2.056 \tabularnewline
220 &  15 &  13.79 &  1.215 \tabularnewline
221 &  11 &  14.1 & -3.098 \tabularnewline
222 &  16 &  13.89 &  2.114 \tabularnewline
223 &  10 &  12.31 & -2.312 \tabularnewline
224 &  15 &  14.98 &  0.02184 \tabularnewline
225 &  9 &  9.877 & -0.8772 \tabularnewline
226 &  16 &  14.37 &  1.633 \tabularnewline
227 &  19 &  14.03 &  4.97 \tabularnewline
228 &  12 &  13.92 & -1.917 \tabularnewline
229 &  8 &  9.512 & -1.512 \tabularnewline
230 &  11 &  13.5 & -2.5 \tabularnewline
231 &  14 &  13.98 &  0.01585 \tabularnewline
232 &  9 &  12.09 & -3.086 \tabularnewline
233 &  15 &  15.17 & -0.1652 \tabularnewline
234 &  13 &  12.76 &  0.2408 \tabularnewline
235 &  16 &  15.13 &  0.874 \tabularnewline
236 &  11 &  12.99 & -1.991 \tabularnewline
237 &  12 &  11.24 &  0.7553 \tabularnewline
238 &  13 &  13.08 & -0.07647 \tabularnewline
239 &  10 &  14.62 & -4.615 \tabularnewline
240 &  11 &  13.7 & -2.704 \tabularnewline
241 &  12 &  14.92 & -2.921 \tabularnewline
242 &  8 &  10.85 & -2.851 \tabularnewline
243 &  12 &  11.76 &  0.2415 \tabularnewline
244 &  12 &  12.41 & -0.4091 \tabularnewline
245 &  15 &  13.73 &  1.267 \tabularnewline
246 &  11 &  10.78 &  0.2198 \tabularnewline
247 &  13 &  12.9 &  0.1008 \tabularnewline
248 &  14 &  8.911 &  5.089 \tabularnewline
249 &  10 &  10.2 & -0.1952 \tabularnewline
250 &  12 &  11.64 &  0.3583 \tabularnewline
251 &  15 &  12.97 &  2.026 \tabularnewline
252 &  13 &  11.92 &  1.076 \tabularnewline
253 &  13 &  14.32 & -1.317 \tabularnewline
254 &  13 &  13.95 & -0.9529 \tabularnewline
255 &  12 &  11.96 &  0.03623 \tabularnewline
256 &  12 &  12.87 & -0.8688 \tabularnewline
257 &  9 &  11.07 & -2.069 \tabularnewline
258 &  9 &  11.6 & -2.595 \tabularnewline
259 &  15 &  12.81 &  2.191 \tabularnewline
260 &  10 &  14.79 & -4.787 \tabularnewline
261 &  14 &  13.91 &  0.08878 \tabularnewline
262 &  15 &  13.73 &  1.274 \tabularnewline
263 &  7 &  9.928 & -2.928 \tabularnewline
264 &  14 &  14.05 & -0.04665 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279828&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] 14[/C][C] 13.71[/C][C] 0.2942[/C][/ROW]
[ROW][C]2[/C][C] 18[/C][C] 15.03[/C][C] 2.972[/C][/ROW]
[ROW][C]3[/C][C] 11[/C][C] 13.72[/C][C]-2.72[/C][/ROW]
[ROW][C]4[/C][C] 12[/C][C] 14.11[/C][C]-2.106[/C][/ROW]
[ROW][C]5[/C][C] 16[/C][C] 10.84[/C][C] 5.156[/C][/ROW]
[ROW][C]6[/C][C] 18[/C][C] 14.12[/C][C] 3.881[/C][/ROW]
[ROW][C]7[/C][C] 14[/C][C] 10.52[/C][C] 3.48[/C][/ROW]
[ROW][C]8[/C][C] 14[/C][C] 14.79[/C][C]-0.7937[/C][/ROW]
[ROW][C]9[/C][C] 15[/C][C] 14.95[/C][C] 0.04746[/C][/ROW]
[ROW][C]10[/C][C] 15[/C][C] 14.05[/C][C] 0.9495[/C][/ROW]
[ROW][C]11[/C][C] 17[/C][C] 15.3[/C][C] 1.704[/C][/ROW]
[ROW][C]12[/C][C] 19[/C][C] 15.46[/C][C] 3.54[/C][/ROW]
[ROW][C]13[/C][C] 10[/C][C] 13.16[/C][C]-3.164[/C][/ROW]
[ROW][C]14[/C][C] 16[/C][C] 13.29[/C][C] 2.706[/C][/ROW]
[ROW][C]15[/C][C] 18[/C][C] 15.55[/C][C] 2.455[/C][/ROW]
[ROW][C]16[/C][C] 14[/C][C] 13.11[/C][C] 0.8852[/C][/ROW]
[ROW][C]17[/C][C] 14[/C][C] 13.57[/C][C] 0.4323[/C][/ROW]
[ROW][C]18[/C][C] 17[/C][C] 15.63[/C][C] 1.365[/C][/ROW]
[ROW][C]19[/C][C] 14[/C][C] 15.26[/C][C]-1.255[/C][/ROW]
[ROW][C]20[/C][C] 16[/C][C] 13.57[/C][C] 2.429[/C][/ROW]
[ROW][C]21[/C][C] 18[/C][C] 15.11[/C][C] 2.887[/C][/ROW]
[ROW][C]22[/C][C] 11[/C][C] 13.42[/C][C]-2.423[/C][/ROW]
[ROW][C]23[/C][C] 14[/C][C] 14.37[/C][C]-0.37[/C][/ROW]
[ROW][C]24[/C][C] 12[/C][C] 13.32[/C][C]-1.322[/C][/ROW]
[ROW][C]25[/C][C] 17[/C][C] 15.2[/C][C] 1.797[/C][/ROW]
[ROW][C]26[/C][C] 9[/C][C] 15.84[/C][C]-6.838[/C][/ROW]
[ROW][C]27[/C][C] 16[/C][C] 14.86[/C][C] 1.137[/C][/ROW]
[ROW][C]28[/C][C] 14[/C][C] 13.03[/C][C] 0.9683[/C][/ROW]
[ROW][C]29[/C][C] 15[/C][C] 13.7[/C][C] 1.298[/C][/ROW]
[ROW][C]30[/C][C] 11[/C][C] 13.63[/C][C]-2.629[/C][/ROW]
[ROW][C]31[/C][C] 16[/C][C] 15.47[/C][C] 0.5324[/C][/ROW]
[ROW][C]32[/C][C] 13[/C][C] 12.26[/C][C] 0.7428[/C][/ROW]
[ROW][C]33[/C][C] 17[/C][C] 14.87[/C][C] 2.128[/C][/ROW]
[ROW][C]34[/C][C] 15[/C][C] 15.02[/C][C]-0.02419[/C][/ROW]
[ROW][C]35[/C][C] 14[/C][C] 13.74[/C][C] 0.2561[/C][/ROW]
[ROW][C]36[/C][C] 16[/C][C] 15.15[/C][C] 0.8545[/C][/ROW]
[ROW][C]37[/C][C] 9[/C][C] 10.37[/C][C]-1.368[/C][/ROW]
[ROW][C]38[/C][C] 15[/C][C] 14.11[/C][C] 0.8896[/C][/ROW]
[ROW][C]39[/C][C] 17[/C][C] 15.1[/C][C] 1.901[/C][/ROW]
[ROW][C]40[/C][C] 13[/C][C] 15.04[/C][C]-2.044[/C][/ROW]
[ROW][C]41[/C][C] 15[/C][C] 15.55[/C][C]-0.5532[/C][/ROW]
[ROW][C]42[/C][C] 16[/C][C] 13.42[/C][C] 2.579[/C][/ROW]
[ROW][C]43[/C][C] 16[/C][C] 15.9[/C][C] 0.1032[/C][/ROW]
[ROW][C]44[/C][C] 12[/C][C] 12.92[/C][C]-0.9218[/C][/ROW]
[ROW][C]45[/C][C] 15[/C][C] 14.43[/C][C] 0.567[/C][/ROW]
[ROW][C]46[/C][C] 11[/C][C] 13.36[/C][C]-2.361[/C][/ROW]
[ROW][C]47[/C][C] 15[/C][C] 15.18[/C][C]-0.1836[/C][/ROW]
[ROW][C]48[/C][C] 15[/C][C] 14.67[/C][C] 0.3331[/C][/ROW]
[ROW][C]49[/C][C] 17[/C][C] 13.34[/C][C] 3.665[/C][/ROW]
[ROW][C]50[/C][C] 13[/C][C] 14.6[/C][C]-1.597[/C][/ROW]
[ROW][C]51[/C][C] 16[/C][C] 15.09[/C][C] 0.909[/C][/ROW]
[ROW][C]52[/C][C] 14[/C][C] 13.19[/C][C] 0.8065[/C][/ROW]
[ROW][C]53[/C][C] 11[/C][C] 11.39[/C][C]-0.3862[/C][/ROW]
[ROW][C]54[/C][C] 12[/C][C] 13.39[/C][C]-1.392[/C][/ROW]
[ROW][C]55[/C][C] 12[/C][C] 13.72[/C][C]-1.725[/C][/ROW]
[ROW][C]56[/C][C] 15[/C][C] 13.37[/C][C] 1.635[/C][/ROW]
[ROW][C]57[/C][C] 16[/C][C] 14.08[/C][C] 1.918[/C][/ROW]
[ROW][C]58[/C][C] 15[/C][C] 15.28[/C][C]-0.2838[/C][/ROW]
[ROW][C]59[/C][C] 12[/C][C] 15.07[/C][C]-3.075[/C][/ROW]
[ROW][C]60[/C][C] 12[/C][C] 13.2[/C][C]-1.196[/C][/ROW]
[ROW][C]61[/C][C] 8[/C][C] 10.36[/C][C]-2.362[/C][/ROW]
[ROW][C]62[/C][C] 13[/C][C] 14.51[/C][C]-1.513[/C][/ROW]
[ROW][C]63[/C][C] 11[/C][C] 14.52[/C][C]-3.52[/C][/ROW]
[ROW][C]64[/C][C] 14[/C][C] 12.88[/C][C] 1.122[/C][/ROW]
[ROW][C]65[/C][C] 15[/C][C] 13.52[/C][C] 1.48[/C][/ROW]
[ROW][C]66[/C][C] 10[/C][C] 15.05[/C][C]-5.052[/C][/ROW]
[ROW][C]67[/C][C] 11[/C][C] 12.57[/C][C]-1.571[/C][/ROW]
[ROW][C]68[/C][C] 12[/C][C] 14.47[/C][C]-2.469[/C][/ROW]
[ROW][C]69[/C][C] 15[/C][C] 13.44[/C][C] 1.561[/C][/ROW]
[ROW][C]70[/C][C] 15[/C][C] 13.56[/C][C] 1.436[/C][/ROW]
[ROW][C]71[/C][C] 14[/C][C] 13.28[/C][C] 0.7195[/C][/ROW]
[ROW][C]72[/C][C] 16[/C][C] 12.58[/C][C] 3.421[/C][/ROW]
[ROW][C]73[/C][C] 15[/C][C] 14.43[/C][C] 0.5664[/C][/ROW]
[ROW][C]74[/C][C] 15[/C][C] 15.36[/C][C]-0.3637[/C][/ROW]
[ROW][C]75[/C][C] 13[/C][C] 14.92[/C][C]-1.921[/C][/ROW]
[ROW][C]76[/C][C] 12[/C][C] 12.06[/C][C]-0.05679[/C][/ROW]
[ROW][C]77[/C][C] 17[/C][C] 13.98[/C][C] 3.015[/C][/ROW]
[ROW][C]78[/C][C] 13[/C][C] 12.37[/C][C] 0.6326[/C][/ROW]
[ROW][C]79[/C][C] 15[/C][C] 13.63[/C][C] 1.375[/C][/ROW]
[ROW][C]80[/C][C] 13[/C][C] 15.03[/C][C]-2.026[/C][/ROW]
[ROW][C]81[/C][C] 15[/C][C] 14.88[/C][C] 0.1153[/C][/ROW]
[ROW][C]82[/C][C] 15[/C][C] 15.49[/C][C]-0.4919[/C][/ROW]
[ROW][C]83[/C][C] 16[/C][C] 14.28[/C][C] 1.717[/C][/ROW]
[ROW][C]84[/C][C] 15[/C][C] 14.21[/C][C] 0.7926[/C][/ROW]
[ROW][C]85[/C][C] 14[/C][C] 14.05[/C][C]-0.05[/C][/ROW]
[ROW][C]86[/C][C] 15[/C][C] 13.94[/C][C] 1.061[/C][/ROW]
[ROW][C]87[/C][C] 14[/C][C] 14.26[/C][C]-0.2578[/C][/ROW]
[ROW][C]88[/C][C] 13[/C][C] 12.71[/C][C] 0.2935[/C][/ROW]
[ROW][C]89[/C][C] 7[/C][C] 10.39[/C][C]-3.395[/C][/ROW]
[ROW][C]90[/C][C] 17[/C][C] 13.54[/C][C] 3.463[/C][/ROW]
[ROW][C]91[/C][C] 13[/C][C] 12.9[/C][C] 0.1041[/C][/ROW]
[ROW][C]92[/C][C] 15[/C][C] 14.17[/C][C] 0.8341[/C][/ROW]
[ROW][C]93[/C][C] 14[/C][C] 13.24[/C][C] 0.7607[/C][/ROW]
[ROW][C]94[/C][C] 13[/C][C] 13.89[/C][C]-0.8862[/C][/ROW]
[ROW][C]95[/C][C] 16[/C][C] 15.01[/C][C] 0.9918[/C][/ROW]
[ROW][C]96[/C][C] 12[/C][C] 12.81[/C][C]-0.8121[/C][/ROW]
[ROW][C]97[/C][C] 14[/C][C] 14.86[/C][C]-0.8616[/C][/ROW]
[ROW][C]98[/C][C] 17[/C][C] 14.97[/C][C] 2.033[/C][/ROW]
[ROW][C]99[/C][C] 15[/C][C] 14.97[/C][C] 0.0327[/C][/ROW]
[ROW][C]100[/C][C] 17[/C][C] 15.25[/C][C] 1.752[/C][/ROW]
[ROW][C]101[/C][C] 12[/C][C] 12.92[/C][C]-0.9194[/C][/ROW]
[ROW][C]102[/C][C] 16[/C][C] 15.13[/C][C] 0.8722[/C][/ROW]
[ROW][C]103[/C][C] 11[/C][C] 14.38[/C][C]-3.384[/C][/ROW]
[ROW][C]104[/C][C] 15[/C][C] 13.04[/C][C] 1.958[/C][/ROW]
[ROW][C]105[/C][C] 9[/C][C] 11.34[/C][C]-2.341[/C][/ROW]
[ROW][C]106[/C][C] 16[/C][C] 14.99[/C][C] 1.011[/C][/ROW]
[ROW][C]107[/C][C] 15[/C][C] 12.96[/C][C] 2.036[/C][/ROW]
[ROW][C]108[/C][C] 10[/C][C] 12.84[/C][C]-2.844[/C][/ROW]
[ROW][C]109[/C][C] 10[/C][C] 9.024[/C][C] 0.9756[/C][/ROW]
[ROW][C]110[/C][C] 15[/C][C] 13.83[/C][C] 1.169[/C][/ROW]
[ROW][C]111[/C][C] 11[/C][C] 13.19[/C][C]-2.19[/C][/ROW]
[ROW][C]112[/C][C] 13[/C][C] 15.25[/C][C]-2.249[/C][/ROW]
[ROW][C]113[/C][C] 14[/C][C] 12.06[/C][C] 1.94[/C][/ROW]
[ROW][C]114[/C][C] 18[/C][C] 14.04[/C][C] 3.961[/C][/ROW]
[ROW][C]115[/C][C] 16[/C][C] 15.66[/C][C] 0.3442[/C][/ROW]
[ROW][C]116[/C][C] 14[/C][C] 12.99[/C][C] 1.012[/C][/ROW]
[ROW][C]117[/C][C] 14[/C][C] 13.72[/C][C] 0.2838[/C][/ROW]
[ROW][C]118[/C][C] 14[/C][C] 15.07[/C][C]-1.066[/C][/ROW]
[ROW][C]119[/C][C] 14[/C][C] 13.7[/C][C] 0.2964[/C][/ROW]
[ROW][C]120[/C][C] 12[/C][C] 12.48[/C][C]-0.4838[/C][/ROW]
[ROW][C]121[/C][C] 14[/C][C] 13.56[/C][C] 0.4417[/C][/ROW]
[ROW][C]122[/C][C] 15[/C][C] 14.88[/C][C] 0.122[/C][/ROW]
[ROW][C]123[/C][C] 15[/C][C] 16.01[/C][C]-1.007[/C][/ROW]
[ROW][C]124[/C][C] 15[/C][C] 14.62[/C][C] 0.3826[/C][/ROW]
[ROW][C]125[/C][C] 13[/C][C] 14.8[/C][C]-1.803[/C][/ROW]
[ROW][C]126[/C][C] 17[/C][C] 16.21[/C][C] 0.7869[/C][/ROW]
[ROW][C]127[/C][C] 17[/C][C] 15.45[/C][C] 1.547[/C][/ROW]
[ROW][C]128[/C][C] 19[/C][C] 14.84[/C][C] 4.159[/C][/ROW]
[ROW][C]129[/C][C] 15[/C][C] 13.52[/C][C] 1.475[/C][/ROW]
[ROW][C]130[/C][C] 13[/C][C] 14.67[/C][C]-1.671[/C][/ROW]
[ROW][C]131[/C][C] 9[/C][C] 10.42[/C][C]-1.417[/C][/ROW]
[ROW][C]132[/C][C] 15[/C][C] 15.36[/C][C]-0.3552[/C][/ROW]
[ROW][C]133[/C][C] 15[/C][C] 12.47[/C][C] 2.533[/C][/ROW]
[ROW][C]134[/C][C] 15[/C][C] 14.24[/C][C] 0.755[/C][/ROW]
[ROW][C]135[/C][C] 16[/C][C] 13.69[/C][C] 2.305[/C][/ROW]
[ROW][C]136[/C][C] 11[/C][C] 9.264[/C][C] 1.736[/C][/ROW]
[ROW][C]137[/C][C] 14[/C][C] 13.29[/C][C] 0.7135[/C][/ROW]
[ROW][C]138[/C][C] 11[/C][C] 11.83[/C][C]-0.8263[/C][/ROW]
[ROW][C]139[/C][C] 15[/C][C] 14.13[/C][C] 0.8734[/C][/ROW]
[ROW][C]140[/C][C] 13[/C][C] 13.7[/C][C]-0.6983[/C][/ROW]
[ROW][C]141[/C][C] 15[/C][C] 14.68[/C][C] 0.3184[/C][/ROW]
[ROW][C]142[/C][C] 16[/C][C] 13.75[/C][C] 2.251[/C][/ROW]
[ROW][C]143[/C][C] 14[/C][C] 14.71[/C][C]-0.7065[/C][/ROW]
[ROW][C]144[/C][C] 15[/C][C] 14.31[/C][C] 0.692[/C][/ROW]
[ROW][C]145[/C][C] 16[/C][C] 14.52[/C][C] 1.484[/C][/ROW]
[ROW][C]146[/C][C] 16[/C][C] 14.55[/C][C] 1.449[/C][/ROW]
[ROW][C]147[/C][C] 11[/C][C] 13.4[/C][C]-2.399[/C][/ROW]
[ROW][C]148[/C][C] 12[/C][C] 14.73[/C][C]-2.727[/C][/ROW]
[ROW][C]149[/C][C] 9[/C][C] 11.41[/C][C]-2.408[/C][/ROW]
[ROW][C]150[/C][C] 16[/C][C] 14.11[/C][C] 1.891[/C][/ROW]
[ROW][C]151[/C][C] 13[/C][C] 12.64[/C][C] 0.3554[/C][/ROW]
[ROW][C]152[/C][C] 16[/C][C] 15.51[/C][C] 0.4891[/C][/ROW]
[ROW][C]153[/C][C] 12[/C][C] 14.45[/C][C]-2.452[/C][/ROW]
[ROW][C]154[/C][C] 9[/C][C] 11.5[/C][C]-2.5[/C][/ROW]
[ROW][C]155[/C][C] 13[/C][C] 11.53[/C][C] 1.47[/C][/ROW]
[ROW][C]156[/C][C] 13[/C][C] 12.9[/C][C] 0.1041[/C][/ROW]
[ROW][C]157[/C][C] 14[/C][C] 13.23[/C][C] 0.7709[/C][/ROW]
[ROW][C]158[/C][C] 19[/C][C] 14.84[/C][C] 4.159[/C][/ROW]
[ROW][C]159[/C][C] 13[/C][C] 15.73[/C][C]-2.733[/C][/ROW]
[ROW][C]160[/C][C] 12[/C][C] 11.95[/C][C] 0.04874[/C][/ROW]
[ROW][C]161[/C][C] 13[/C][C] 12.48[/C][C] 0.5206[/C][/ROW]
[ROW][C]162[/C][C] 10[/C][C] 9.183[/C][C] 0.8173[/C][/ROW]
[ROW][C]163[/C][C] 14[/C][C] 13.25[/C][C] 0.7502[/C][/ROW]
[ROW][C]164[/C][C] 16[/C][C] 11.71[/C][C] 4.295[/C][/ROW]
[ROW][C]165[/C][C] 10[/C][C] 12.04[/C][C]-2.037[/C][/ROW]
[ROW][C]166[/C][C] 11[/C][C] 8.958[/C][C] 2.042[/C][/ROW]
[ROW][C]167[/C][C] 14[/C][C] 14.19[/C][C]-0.1939[/C][/ROW]
[ROW][C]168[/C][C] 12[/C][C] 12.86[/C][C]-0.864[/C][/ROW]
[ROW][C]169[/C][C] 9[/C][C] 12.77[/C][C]-3.768[/C][/ROW]
[ROW][C]170[/C][C] 9[/C][C] 12.04[/C][C]-3.038[/C][/ROW]
[ROW][C]171[/C][C] 11[/C][C] 10.55[/C][C] 0.4465[/C][/ROW]
[ROW][C]172[/C][C] 16[/C][C] 14.4[/C][C] 1.6[/C][/ROW]
[ROW][C]173[/C][C] 9[/C][C] 14.15[/C][C]-5.153[/C][/ROW]
[ROW][C]174[/C][C] 13[/C][C] 11.25[/C][C] 1.755[/C][/ROW]
[ROW][C]175[/C][C] 16[/C][C] 13.48[/C][C] 2.52[/C][/ROW]
[ROW][C]176[/C][C] 13[/C][C] 15.48[/C][C]-2.485[/C][/ROW]
[ROW][C]177[/C][C] 9[/C][C] 12.36[/C][C]-3.355[/C][/ROW]
[ROW][C]178[/C][C] 12[/C][C] 11.49[/C][C] 0.5121[/C][/ROW]
[ROW][C]179[/C][C] 16[/C][C] 14.69[/C][C] 1.305[/C][/ROW]
[ROW][C]180[/C][C] 11[/C][C] 13.29[/C][C]-2.294[/C][/ROW]
[ROW][C]181[/C][C] 14[/C][C] 14.35[/C][C]-0.3521[/C][/ROW]
[ROW][C]182[/C][C] 13[/C][C] 14.81[/C][C]-1.809[/C][/ROW]
[ROW][C]183[/C][C] 15[/C][C] 14.96[/C][C] 0.03511[/C][/ROW]
[ROW][C]184[/C][C] 14[/C][C] 15.2[/C][C]-1.201[/C][/ROW]
[ROW][C]185[/C][C] 16[/C][C] 13.97[/C][C] 2.027[/C][/ROW]
[ROW][C]186[/C][C] 13[/C][C] 11.79[/C][C] 1.209[/C][/ROW]
[ROW][C]187[/C][C] 14[/C][C] 13.78[/C][C] 0.2166[/C][/ROW]
[ROW][C]188[/C][C] 15[/C][C] 14.31[/C][C] 0.687[/C][/ROW]
[ROW][C]189[/C][C] 13[/C][C] 12.5[/C][C] 0.4986[/C][/ROW]
[ROW][C]190[/C][C] 11[/C][C] 10.18[/C][C] 0.8172[/C][/ROW]
[ROW][C]191[/C][C] 11[/C][C] 12.95[/C][C]-1.949[/C][/ROW]
[ROW][C]192[/C][C] 14[/C][C] 15.28[/C][C]-1.281[/C][/ROW]
[ROW][C]193[/C][C] 15[/C][C] 12.72[/C][C] 2.278[/C][/ROW]
[ROW][C]194[/C][C] 11[/C][C] 12.66[/C][C]-1.659[/C][/ROW]
[ROW][C]195[/C][C] 15[/C][C] 13.22[/C][C] 1.784[/C][/ROW]
[ROW][C]196[/C][C] 12[/C][C] 14.27[/C][C]-2.266[/C][/ROW]
[ROW][C]197[/C][C] 14[/C][C] 11.86[/C][C] 2.14[/C][/ROW]
[ROW][C]198[/C][C] 14[/C][C] 13.57[/C][C] 0.4261[/C][/ROW]
[ROW][C]199[/C][C] 8[/C][C] 11.25[/C][C]-3.25[/C][/ROW]
[ROW][C]200[/C][C] 13[/C][C] 13.95[/C][C]-0.9456[/C][/ROW]
[ROW][C]201[/C][C] 9[/C][C] 12.29[/C][C]-3.293[/C][/ROW]
[ROW][C]202[/C][C] 15[/C][C] 13.88[/C][C] 1.122[/C][/ROW]
[ROW][C]203[/C][C] 17[/C][C] 14.21[/C][C] 2.786[/C][/ROW]
[ROW][C]204[/C][C] 13[/C][C] 12.7[/C][C] 0.2976[/C][/ROW]
[ROW][C]205[/C][C] 15[/C][C] 14.62[/C][C] 0.3792[/C][/ROW]
[ROW][C]206[/C][C] 15[/C][C] 13.93[/C][C] 1.074[/C][/ROW]
[ROW][C]207[/C][C] 14[/C][C] 14.69[/C][C]-0.6928[/C][/ROW]
[ROW][C]208[/C][C] 16[/C][C] 12.79[/C][C] 3.213[/C][/ROW]
[ROW][C]209[/C][C] 13[/C][C] 13.01[/C][C]-0.01155[/C][/ROW]
[ROW][C]210[/C][C] 16[/C][C] 14.51[/C][C] 1.491[/C][/ROW]
[ROW][C]211[/C][C] 9[/C][C] 11.81[/C][C]-2.814[/C][/ROW]
[ROW][C]212[/C][C] 16[/C][C] 14.74[/C][C] 1.256[/C][/ROW]
[ROW][C]213[/C][C] 11[/C][C] 12.35[/C][C]-1.346[/C][/ROW]
[ROW][C]214[/C][C] 10[/C][C] 13.97[/C][C]-3.966[/C][/ROW]
[ROW][C]215[/C][C] 11[/C][C] 12.37[/C][C]-1.369[/C][/ROW]
[ROW][C]216[/C][C] 15[/C][C] 13.42[/C][C] 1.584[/C][/ROW]
[ROW][C]217[/C][C] 17[/C][C] 15.13[/C][C] 1.867[/C][/ROW]
[ROW][C]218[/C][C] 14[/C][C] 14.45[/C][C]-0.4546[/C][/ROW]
[ROW][C]219[/C][C] 8[/C][C] 10.06[/C][C]-2.056[/C][/ROW]
[ROW][C]220[/C][C] 15[/C][C] 13.79[/C][C] 1.215[/C][/ROW]
[ROW][C]221[/C][C] 11[/C][C] 14.1[/C][C]-3.098[/C][/ROW]
[ROW][C]222[/C][C] 16[/C][C] 13.89[/C][C] 2.114[/C][/ROW]
[ROW][C]223[/C][C] 10[/C][C] 12.31[/C][C]-2.312[/C][/ROW]
[ROW][C]224[/C][C] 15[/C][C] 14.98[/C][C] 0.02184[/C][/ROW]
[ROW][C]225[/C][C] 9[/C][C] 9.877[/C][C]-0.8772[/C][/ROW]
[ROW][C]226[/C][C] 16[/C][C] 14.37[/C][C] 1.633[/C][/ROW]
[ROW][C]227[/C][C] 19[/C][C] 14.03[/C][C] 4.97[/C][/ROW]
[ROW][C]228[/C][C] 12[/C][C] 13.92[/C][C]-1.917[/C][/ROW]
[ROW][C]229[/C][C] 8[/C][C] 9.512[/C][C]-1.512[/C][/ROW]
[ROW][C]230[/C][C] 11[/C][C] 13.5[/C][C]-2.5[/C][/ROW]
[ROW][C]231[/C][C] 14[/C][C] 13.98[/C][C] 0.01585[/C][/ROW]
[ROW][C]232[/C][C] 9[/C][C] 12.09[/C][C]-3.086[/C][/ROW]
[ROW][C]233[/C][C] 15[/C][C] 15.17[/C][C]-0.1652[/C][/ROW]
[ROW][C]234[/C][C] 13[/C][C] 12.76[/C][C] 0.2408[/C][/ROW]
[ROW][C]235[/C][C] 16[/C][C] 15.13[/C][C] 0.874[/C][/ROW]
[ROW][C]236[/C][C] 11[/C][C] 12.99[/C][C]-1.991[/C][/ROW]
[ROW][C]237[/C][C] 12[/C][C] 11.24[/C][C] 0.7553[/C][/ROW]
[ROW][C]238[/C][C] 13[/C][C] 13.08[/C][C]-0.07647[/C][/ROW]
[ROW][C]239[/C][C] 10[/C][C] 14.62[/C][C]-4.615[/C][/ROW]
[ROW][C]240[/C][C] 11[/C][C] 13.7[/C][C]-2.704[/C][/ROW]
[ROW][C]241[/C][C] 12[/C][C] 14.92[/C][C]-2.921[/C][/ROW]
[ROW][C]242[/C][C] 8[/C][C] 10.85[/C][C]-2.851[/C][/ROW]
[ROW][C]243[/C][C] 12[/C][C] 11.76[/C][C] 0.2415[/C][/ROW]
[ROW][C]244[/C][C] 12[/C][C] 12.41[/C][C]-0.4091[/C][/ROW]
[ROW][C]245[/C][C] 15[/C][C] 13.73[/C][C] 1.267[/C][/ROW]
[ROW][C]246[/C][C] 11[/C][C] 10.78[/C][C] 0.2198[/C][/ROW]
[ROW][C]247[/C][C] 13[/C][C] 12.9[/C][C] 0.1008[/C][/ROW]
[ROW][C]248[/C][C] 14[/C][C] 8.911[/C][C] 5.089[/C][/ROW]
[ROW][C]249[/C][C] 10[/C][C] 10.2[/C][C]-0.1952[/C][/ROW]
[ROW][C]250[/C][C] 12[/C][C] 11.64[/C][C] 0.3583[/C][/ROW]
[ROW][C]251[/C][C] 15[/C][C] 12.97[/C][C] 2.026[/C][/ROW]
[ROW][C]252[/C][C] 13[/C][C] 11.92[/C][C] 1.076[/C][/ROW]
[ROW][C]253[/C][C] 13[/C][C] 14.32[/C][C]-1.317[/C][/ROW]
[ROW][C]254[/C][C] 13[/C][C] 13.95[/C][C]-0.9529[/C][/ROW]
[ROW][C]255[/C][C] 12[/C][C] 11.96[/C][C] 0.03623[/C][/ROW]
[ROW][C]256[/C][C] 12[/C][C] 12.87[/C][C]-0.8688[/C][/ROW]
[ROW][C]257[/C][C] 9[/C][C] 11.07[/C][C]-2.069[/C][/ROW]
[ROW][C]258[/C][C] 9[/C][C] 11.6[/C][C]-2.595[/C][/ROW]
[ROW][C]259[/C][C] 15[/C][C] 12.81[/C][C] 2.191[/C][/ROW]
[ROW][C]260[/C][C] 10[/C][C] 14.79[/C][C]-4.787[/C][/ROW]
[ROW][C]261[/C][C] 14[/C][C] 13.91[/C][C] 0.08878[/C][/ROW]
[ROW][C]262[/C][C] 15[/C][C] 13.73[/C][C] 1.274[/C][/ROW]
[ROW][C]263[/C][C] 7[/C][C] 9.928[/C][C]-2.928[/C][/ROW]
[ROW][C]264[/C][C] 14[/C][C] 14.05[/C][C]-0.04665[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279828&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279828&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
1 14 13.71 0.2942
2 18 15.03 2.972
3 11 13.72-2.72
4 12 14.11-2.106
5 16 10.84 5.156
6 18 14.12 3.881
7 14 10.52 3.48
8 14 14.79-0.7937
9 15 14.95 0.04746
10 15 14.05 0.9495
11 17 15.3 1.704
12 19 15.46 3.54
13 10 13.16-3.164
14 16 13.29 2.706
15 18 15.55 2.455
16 14 13.11 0.8852
17 14 13.57 0.4323
18 17 15.63 1.365
19 14 15.26-1.255
20 16 13.57 2.429
21 18 15.11 2.887
22 11 13.42-2.423
23 14 14.37-0.37
24 12 13.32-1.322
25 17 15.2 1.797
26 9 15.84-6.838
27 16 14.86 1.137
28 14 13.03 0.9683
29 15 13.7 1.298
30 11 13.63-2.629
31 16 15.47 0.5324
32 13 12.26 0.7428
33 17 14.87 2.128
34 15 15.02-0.02419
35 14 13.74 0.2561
36 16 15.15 0.8545
37 9 10.37-1.368
38 15 14.11 0.8896
39 17 15.1 1.901
40 13 15.04-2.044
41 15 15.55-0.5532
42 16 13.42 2.579
43 16 15.9 0.1032
44 12 12.92-0.9218
45 15 14.43 0.567
46 11 13.36-2.361
47 15 15.18-0.1836
48 15 14.67 0.3331
49 17 13.34 3.665
50 13 14.6-1.597
51 16 15.09 0.909
52 14 13.19 0.8065
53 11 11.39-0.3862
54 12 13.39-1.392
55 12 13.72-1.725
56 15 13.37 1.635
57 16 14.08 1.918
58 15 15.28-0.2838
59 12 15.07-3.075
60 12 13.2-1.196
61 8 10.36-2.362
62 13 14.51-1.513
63 11 14.52-3.52
64 14 12.88 1.122
65 15 13.52 1.48
66 10 15.05-5.052
67 11 12.57-1.571
68 12 14.47-2.469
69 15 13.44 1.561
70 15 13.56 1.436
71 14 13.28 0.7195
72 16 12.58 3.421
73 15 14.43 0.5664
74 15 15.36-0.3637
75 13 14.92-1.921
76 12 12.06-0.05679
77 17 13.98 3.015
78 13 12.37 0.6326
79 15 13.63 1.375
80 13 15.03-2.026
81 15 14.88 0.1153
82 15 15.49-0.4919
83 16 14.28 1.717
84 15 14.21 0.7926
85 14 14.05-0.05
86 15 13.94 1.061
87 14 14.26-0.2578
88 13 12.71 0.2935
89 7 10.39-3.395
90 17 13.54 3.463
91 13 12.9 0.1041
92 15 14.17 0.8341
93 14 13.24 0.7607
94 13 13.89-0.8862
95 16 15.01 0.9918
96 12 12.81-0.8121
97 14 14.86-0.8616
98 17 14.97 2.033
99 15 14.97 0.0327
100 17 15.25 1.752
101 12 12.92-0.9194
102 16 15.13 0.8722
103 11 14.38-3.384
104 15 13.04 1.958
105 9 11.34-2.341
106 16 14.99 1.011
107 15 12.96 2.036
108 10 12.84-2.844
109 10 9.024 0.9756
110 15 13.83 1.169
111 11 13.19-2.19
112 13 15.25-2.249
113 14 12.06 1.94
114 18 14.04 3.961
115 16 15.66 0.3442
116 14 12.99 1.012
117 14 13.72 0.2838
118 14 15.07-1.066
119 14 13.7 0.2964
120 12 12.48-0.4838
121 14 13.56 0.4417
122 15 14.88 0.122
123 15 16.01-1.007
124 15 14.62 0.3826
125 13 14.8-1.803
126 17 16.21 0.7869
127 17 15.45 1.547
128 19 14.84 4.159
129 15 13.52 1.475
130 13 14.67-1.671
131 9 10.42-1.417
132 15 15.36-0.3552
133 15 12.47 2.533
134 15 14.24 0.755
135 16 13.69 2.305
136 11 9.264 1.736
137 14 13.29 0.7135
138 11 11.83-0.8263
139 15 14.13 0.8734
140 13 13.7-0.6983
141 15 14.68 0.3184
142 16 13.75 2.251
143 14 14.71-0.7065
144 15 14.31 0.692
145 16 14.52 1.484
146 16 14.55 1.449
147 11 13.4-2.399
148 12 14.73-2.727
149 9 11.41-2.408
150 16 14.11 1.891
151 13 12.64 0.3554
152 16 15.51 0.4891
153 12 14.45-2.452
154 9 11.5-2.5
155 13 11.53 1.47
156 13 12.9 0.1041
157 14 13.23 0.7709
158 19 14.84 4.159
159 13 15.73-2.733
160 12 11.95 0.04874
161 13 12.48 0.5206
162 10 9.183 0.8173
163 14 13.25 0.7502
164 16 11.71 4.295
165 10 12.04-2.037
166 11 8.958 2.042
167 14 14.19-0.1939
168 12 12.86-0.864
169 9 12.77-3.768
170 9 12.04-3.038
171 11 10.55 0.4465
172 16 14.4 1.6
173 9 14.15-5.153
174 13 11.25 1.755
175 16 13.48 2.52
176 13 15.48-2.485
177 9 12.36-3.355
178 12 11.49 0.5121
179 16 14.69 1.305
180 11 13.29-2.294
181 14 14.35-0.3521
182 13 14.81-1.809
183 15 14.96 0.03511
184 14 15.2-1.201
185 16 13.97 2.027
186 13 11.79 1.209
187 14 13.78 0.2166
188 15 14.31 0.687
189 13 12.5 0.4986
190 11 10.18 0.8172
191 11 12.95-1.949
192 14 15.28-1.281
193 15 12.72 2.278
194 11 12.66-1.659
195 15 13.22 1.784
196 12 14.27-2.266
197 14 11.86 2.14
198 14 13.57 0.4261
199 8 11.25-3.25
200 13 13.95-0.9456
201 9 12.29-3.293
202 15 13.88 1.122
203 17 14.21 2.786
204 13 12.7 0.2976
205 15 14.62 0.3792
206 15 13.93 1.074
207 14 14.69-0.6928
208 16 12.79 3.213
209 13 13.01-0.01155
210 16 14.51 1.491
211 9 11.81-2.814
212 16 14.74 1.256
213 11 12.35-1.346
214 10 13.97-3.966
215 11 12.37-1.369
216 15 13.42 1.584
217 17 15.13 1.867
218 14 14.45-0.4546
219 8 10.06-2.056
220 15 13.79 1.215
221 11 14.1-3.098
222 16 13.89 2.114
223 10 12.31-2.312
224 15 14.98 0.02184
225 9 9.877-0.8772
226 16 14.37 1.633
227 19 14.03 4.97
228 12 13.92-1.917
229 8 9.512-1.512
230 11 13.5-2.5
231 14 13.98 0.01585
232 9 12.09-3.086
233 15 15.17-0.1652
234 13 12.76 0.2408
235 16 15.13 0.874
236 11 12.99-1.991
237 12 11.24 0.7553
238 13 13.08-0.07647
239 10 14.62-4.615
240 11 13.7-2.704
241 12 14.92-2.921
242 8 10.85-2.851
243 12 11.76 0.2415
244 12 12.41-0.4091
245 15 13.73 1.267
246 11 10.78 0.2198
247 13 12.9 0.1008
248 14 8.911 5.089
249 10 10.2-0.1952
250 12 11.64 0.3583
251 15 12.97 2.026
252 13 11.92 1.076
253 13 14.32-1.317
254 13 13.95-0.9529
255 12 11.96 0.03623
256 12 12.87-0.8688
257 9 11.07-2.069
258 9 11.6-2.595
259 15 12.81 2.191
260 10 14.79-4.787
261 14 13.91 0.08878
262 15 13.73 1.274
263 7 9.928-2.928
264 14 14.05-0.04665






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
10 0.0506 0.1012 0.9494
11 0.0142 0.02839 0.9858
12 0.8277 0.3446 0.1723
13 0.9657 0.06859 0.03429
14 0.9675 0.06493 0.03247
15 0.9763 0.04731 0.02365
16 0.9609 0.0782 0.0391
17 0.9481 0.1039 0.05193
18 0.9293 0.1415 0.07073
19 0.9068 0.1865 0.09323
20 0.9011 0.1978 0.09888
21 0.9171 0.1658 0.08289
22 0.9509 0.09827 0.04914
23 0.9318 0.1365 0.06823
24 0.9152 0.1696 0.08479
25 0.8909 0.2182 0.1091
26 0.9983 0.003348 0.001674
27 0.9974 0.005103 0.002551
28 0.9961 0.007822 0.003911
29 0.9942 0.01163 0.005816
30 0.9968 0.006359 0.00318
31 0.9952 0.00956 0.00478
32 0.9931 0.01388 0.006938
33 0.9917 0.0166 0.0083
34 0.9882 0.02362 0.01181
35 0.9843 0.03138 0.01569
36 0.9785 0.04309 0.02154
37 0.9842 0.03159 0.0158
38 0.9786 0.04277 0.02138
39 0.976 0.04795 0.02398
40 0.9763 0.04735 0.02368
41 0.9694 0.0612 0.0306
42 0.9672 0.06566 0.03283
43 0.9575 0.08492 0.04246
44 0.9497 0.1005 0.05026
45 0.9363 0.1274 0.06371
46 0.9468 0.1065 0.05323
47 0.9327 0.1346 0.0673
48 0.9161 0.1678 0.08389
49 0.9336 0.1329 0.06644
50 0.9295 0.1411 0.07053
51 0.915 0.17 0.08501
52 0.8968 0.2065 0.1032
53 0.8807 0.2387 0.1193
54 0.8726 0.2548 0.1274
55 0.863 0.2741 0.137
56 0.8435 0.3129 0.1565
57 0.8304 0.3393 0.1696
58 0.8014 0.3972 0.1986
59 0.838 0.324 0.162
60 0.8331 0.3339 0.1669
61 0.8516 0.2968 0.1484
62 0.8478 0.3045 0.1522
63 0.9005 0.1989 0.09947
64 0.8881 0.2237 0.1119
65 0.8781 0.2438 0.1219
66 0.9548 0.09043 0.04522
67 0.9532 0.09351 0.04676
68 0.9581 0.08387 0.04194
69 0.9527 0.09451 0.04726
70 0.9461 0.1078 0.05392
71 0.9348 0.1304 0.0652
72 0.9502 0.09953 0.04977
73 0.9396 0.1208 0.0604
74 0.9274 0.1451 0.07257
75 0.9226 0.1548 0.0774
76 0.9083 0.1834 0.09172
77 0.9214 0.1573 0.07865
78 0.9068 0.1863 0.09317
79 0.8975 0.2051 0.1025
80 0.8901 0.2197 0.1099
81 0.8709 0.2583 0.1291
82 0.8506 0.2988 0.1494
83 0.843 0.3139 0.157
84 0.8218 0.3563 0.1782
85 0.7957 0.4085 0.2043
86 0.7715 0.457 0.2285
87 0.7421 0.5157 0.2579
88 0.711 0.578 0.289
89 0.7867 0.4266 0.2133
90 0.8214 0.3573 0.1786
91 0.7963 0.4074 0.2037
92 0.7722 0.4557 0.2278
93 0.7481 0.5039 0.2519
94 0.7229 0.5543 0.2771
95 0.6959 0.6082 0.3041
96 0.67 0.6599 0.33
97 0.6421 0.7159 0.3579
98 0.6407 0.7187 0.3593
99 0.6065 0.787 0.3935
100 0.597 0.806 0.403
101 0.5727 0.8545 0.4273
102 0.5431 0.9137 0.4569
103 0.5933 0.8133 0.4067
104 0.5821 0.8359 0.4179
105 0.5982 0.8036 0.4018
106 0.5706 0.8589 0.4294
107 0.5632 0.8736 0.4368
108 0.6003 0.7993 0.3997
109 0.574 0.8519 0.426
110 0.548 0.904 0.452
111 0.5526 0.8948 0.4474
112 0.5837 0.8327 0.4163
113 0.5835 0.8331 0.4165
114 0.6688 0.6625 0.3312
115 0.6371 0.7257 0.3629
116 0.614 0.772 0.386
117 0.584 0.8319 0.416
118 0.5604 0.8791 0.4396
119 0.5261 0.9479 0.4739
120 0.495 0.9899 0.505
121 0.4639 0.9278 0.5361
122 0.4329 0.8658 0.5671
123 0.4067 0.8134 0.5933
124 0.3741 0.7481 0.6259
125 0.3632 0.7265 0.6368
126 0.3338 0.6675 0.6662
127 0.3207 0.6414 0.6793
128 0.4244 0.8487 0.5756
129 0.4072 0.8144 0.5928
130 0.3955 0.791 0.6045
131 0.3809 0.7619 0.6191
132 0.3529 0.7058 0.6471
133 0.3736 0.7471 0.6264
134 0.3476 0.6952 0.6524
135 0.3581 0.7162 0.6419
136 0.3473 0.6945 0.6528
137 0.32 0.64 0.68
138 0.2961 0.5922 0.7039
139 0.2717 0.5433 0.7283
140 0.2485 0.497 0.7515
141 0.2223 0.4447 0.7777
142 0.2283 0.4566 0.7717
143 0.204 0.408 0.796
144 0.1835 0.3669 0.8165
145 0.1707 0.3414 0.8293
146 0.163 0.326 0.837
147 0.1701 0.3403 0.8299
148 0.186 0.3719 0.814
149 0.2028 0.4056 0.7972
150 0.2041 0.4082 0.7959
151 0.1827 0.3653 0.8174
152 0.1635 0.327 0.8365
153 0.1757 0.3514 0.8243
154 0.1909 0.3819 0.8091
155 0.1783 0.3567 0.8217
156 0.1561 0.3122 0.8439
157 0.1399 0.2798 0.8601
158 0.2271 0.4542 0.7729
159 0.2458 0.4917 0.7542
160 0.2246 0.4492 0.7754
161 0.203 0.406 0.797
162 0.1799 0.3598 0.8201
163 0.1587 0.3174 0.8413
164 0.2615 0.523 0.7385
165 0.2584 0.5167 0.7416
166 0.2559 0.5119 0.7441
167 0.2278 0.4556 0.7722
168 0.2066 0.4132 0.7934
169 0.2646 0.5292 0.7354
170 0.2934 0.5868 0.7066
171 0.2658 0.5316 0.7342
172 0.2614 0.5228 0.7386
173 0.4317 0.8635 0.5683
174 0.4174 0.8347 0.5826
175 0.4395 0.879 0.5605
176 0.4527 0.9055 0.5473
177 0.5096 0.9808 0.4904
178 0.4757 0.9514 0.5243
179 0.4537 0.9075 0.5463
180 0.4569 0.9137 0.5431
181 0.4194 0.8387 0.5806
182 0.4122 0.8243 0.5878
183 0.3749 0.7498 0.6251
184 0.3483 0.6965 0.6517
185 0.3648 0.7296 0.6352
186 0.3555 0.7111 0.6445
187 0.3205 0.6409 0.6795
188 0.2913 0.5827 0.7087
189 0.2594 0.5188 0.7406
190 0.2379 0.4758 0.7621
191 0.2469 0.4938 0.7531
192 0.2281 0.4561 0.7719
193 0.2456 0.4912 0.7544
194 0.2344 0.4687 0.7656
195 0.2343 0.4686 0.7657
196 0.2466 0.4931 0.7534
197 0.296 0.592 0.704
198 0.2771 0.5542 0.7229
199 0.3136 0.6272 0.6864
200 0.2804 0.5607 0.7196
201 0.3175 0.6351 0.6825
202 0.2945 0.589 0.7055
203 0.3422 0.6844 0.6578
204 0.3046 0.6092 0.6954
205 0.2701 0.5401 0.7299
206 0.2484 0.4967 0.7516
207 0.2163 0.4327 0.7837
208 0.2399 0.4798 0.7601
209 0.2075 0.4149 0.7925
210 0.2157 0.4314 0.7843
211 0.2418 0.4835 0.7582
212 0.2306 0.4612 0.7694
213 0.2036 0.4071 0.7964
214 0.2509 0.5019 0.7491
215 0.225 0.4499 0.775
216 0.2133 0.4266 0.7867
217 0.2449 0.4899 0.7551
218 0.2135 0.4269 0.7865
219 0.2023 0.4047 0.7977
220 0.2169 0.4337 0.7831
221 0.2301 0.4602 0.7699
222 0.2219 0.4438 0.7781
223 0.208 0.4161 0.792
224 0.1753 0.3507 0.8247
225 0.1733 0.3466 0.8267
226 0.2063 0.4126 0.7937
227 0.4131 0.8262 0.5869
228 0.3844 0.7688 0.6156
229 0.358 0.716 0.642
230 0.3421 0.6843 0.6579
231 0.2992 0.5985 0.7008
232 0.3426 0.6851 0.6574
233 0.2969 0.5937 0.7031
234 0.2526 0.5052 0.7474
235 0.2522 0.5044 0.7478
236 0.228 0.4559 0.772
237 0.1947 0.3894 0.8053
238 0.1551 0.3102 0.8449
239 0.2881 0.5762 0.7119
240 0.2775 0.555 0.7225
241 0.2459 0.4917 0.7541
242 0.4722 0.9443 0.5278
243 0.4292 0.8585 0.5708
244 0.3659 0.7319 0.6341
245 0.4929 0.9857 0.5071
246 0.4076 0.8151 0.5924
247 0.3241 0.6482 0.6759
248 0.4909 0.9817 0.5091
249 0.3906 0.7812 0.6094
250 0.2942 0.5884 0.7058
251 0.4442 0.8884 0.5558
252 0.9216 0.1568 0.0784
253 0.8406 0.3189 0.1594
254 0.7906 0.4188 0.2094

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 &  0.0506 &  0.1012 &  0.9494 \tabularnewline
11 &  0.0142 &  0.02839 &  0.9858 \tabularnewline
12 &  0.8277 &  0.3446 &  0.1723 \tabularnewline
13 &  0.9657 &  0.06859 &  0.03429 \tabularnewline
14 &  0.9675 &  0.06493 &  0.03247 \tabularnewline
15 &  0.9763 &  0.04731 &  0.02365 \tabularnewline
16 &  0.9609 &  0.0782 &  0.0391 \tabularnewline
17 &  0.9481 &  0.1039 &  0.05193 \tabularnewline
18 &  0.9293 &  0.1415 &  0.07073 \tabularnewline
19 &  0.9068 &  0.1865 &  0.09323 \tabularnewline
20 &  0.9011 &  0.1978 &  0.09888 \tabularnewline
21 &  0.9171 &  0.1658 &  0.08289 \tabularnewline
22 &  0.9509 &  0.09827 &  0.04914 \tabularnewline
23 &  0.9318 &  0.1365 &  0.06823 \tabularnewline
24 &  0.9152 &  0.1696 &  0.08479 \tabularnewline
25 &  0.8909 &  0.2182 &  0.1091 \tabularnewline
26 &  0.9983 &  0.003348 &  0.001674 \tabularnewline
27 &  0.9974 &  0.005103 &  0.002551 \tabularnewline
28 &  0.9961 &  0.007822 &  0.003911 \tabularnewline
29 &  0.9942 &  0.01163 &  0.005816 \tabularnewline
30 &  0.9968 &  0.006359 &  0.00318 \tabularnewline
31 &  0.9952 &  0.00956 &  0.00478 \tabularnewline
32 &  0.9931 &  0.01388 &  0.006938 \tabularnewline
33 &  0.9917 &  0.0166 &  0.0083 \tabularnewline
34 &  0.9882 &  0.02362 &  0.01181 \tabularnewline
35 &  0.9843 &  0.03138 &  0.01569 \tabularnewline
36 &  0.9785 &  0.04309 &  0.02154 \tabularnewline
37 &  0.9842 &  0.03159 &  0.0158 \tabularnewline
38 &  0.9786 &  0.04277 &  0.02138 \tabularnewline
39 &  0.976 &  0.04795 &  0.02398 \tabularnewline
40 &  0.9763 &  0.04735 &  0.02368 \tabularnewline
41 &  0.9694 &  0.0612 &  0.0306 \tabularnewline
42 &  0.9672 &  0.06566 &  0.03283 \tabularnewline
43 &  0.9575 &  0.08492 &  0.04246 \tabularnewline
44 &  0.9497 &  0.1005 &  0.05026 \tabularnewline
45 &  0.9363 &  0.1274 &  0.06371 \tabularnewline
46 &  0.9468 &  0.1065 &  0.05323 \tabularnewline
47 &  0.9327 &  0.1346 &  0.0673 \tabularnewline
48 &  0.9161 &  0.1678 &  0.08389 \tabularnewline
49 &  0.9336 &  0.1329 &  0.06644 \tabularnewline
50 &  0.9295 &  0.1411 &  0.07053 \tabularnewline
51 &  0.915 &  0.17 &  0.08501 \tabularnewline
52 &  0.8968 &  0.2065 &  0.1032 \tabularnewline
53 &  0.8807 &  0.2387 &  0.1193 \tabularnewline
54 &  0.8726 &  0.2548 &  0.1274 \tabularnewline
55 &  0.863 &  0.2741 &  0.137 \tabularnewline
56 &  0.8435 &  0.3129 &  0.1565 \tabularnewline
57 &  0.8304 &  0.3393 &  0.1696 \tabularnewline
58 &  0.8014 &  0.3972 &  0.1986 \tabularnewline
59 &  0.838 &  0.324 &  0.162 \tabularnewline
60 &  0.8331 &  0.3339 &  0.1669 \tabularnewline
61 &  0.8516 &  0.2968 &  0.1484 \tabularnewline
62 &  0.8478 &  0.3045 &  0.1522 \tabularnewline
63 &  0.9005 &  0.1989 &  0.09947 \tabularnewline
64 &  0.8881 &  0.2237 &  0.1119 \tabularnewline
65 &  0.8781 &  0.2438 &  0.1219 \tabularnewline
66 &  0.9548 &  0.09043 &  0.04522 \tabularnewline
67 &  0.9532 &  0.09351 &  0.04676 \tabularnewline
68 &  0.9581 &  0.08387 &  0.04194 \tabularnewline
69 &  0.9527 &  0.09451 &  0.04726 \tabularnewline
70 &  0.9461 &  0.1078 &  0.05392 \tabularnewline
71 &  0.9348 &  0.1304 &  0.0652 \tabularnewline
72 &  0.9502 &  0.09953 &  0.04977 \tabularnewline
73 &  0.9396 &  0.1208 &  0.0604 \tabularnewline
74 &  0.9274 &  0.1451 &  0.07257 \tabularnewline
75 &  0.9226 &  0.1548 &  0.0774 \tabularnewline
76 &  0.9083 &  0.1834 &  0.09172 \tabularnewline
77 &  0.9214 &  0.1573 &  0.07865 \tabularnewline
78 &  0.9068 &  0.1863 &  0.09317 \tabularnewline
79 &  0.8975 &  0.2051 &  0.1025 \tabularnewline
80 &  0.8901 &  0.2197 &  0.1099 \tabularnewline
81 &  0.8709 &  0.2583 &  0.1291 \tabularnewline
82 &  0.8506 &  0.2988 &  0.1494 \tabularnewline
83 &  0.843 &  0.3139 &  0.157 \tabularnewline
84 &  0.8218 &  0.3563 &  0.1782 \tabularnewline
85 &  0.7957 &  0.4085 &  0.2043 \tabularnewline
86 &  0.7715 &  0.457 &  0.2285 \tabularnewline
87 &  0.7421 &  0.5157 &  0.2579 \tabularnewline
88 &  0.711 &  0.578 &  0.289 \tabularnewline
89 &  0.7867 &  0.4266 &  0.2133 \tabularnewline
90 &  0.8214 &  0.3573 &  0.1786 \tabularnewline
91 &  0.7963 &  0.4074 &  0.2037 \tabularnewline
92 &  0.7722 &  0.4557 &  0.2278 \tabularnewline
93 &  0.7481 &  0.5039 &  0.2519 \tabularnewline
94 &  0.7229 &  0.5543 &  0.2771 \tabularnewline
95 &  0.6959 &  0.6082 &  0.3041 \tabularnewline
96 &  0.67 &  0.6599 &  0.33 \tabularnewline
97 &  0.6421 &  0.7159 &  0.3579 \tabularnewline
98 &  0.6407 &  0.7187 &  0.3593 \tabularnewline
99 &  0.6065 &  0.787 &  0.3935 \tabularnewline
100 &  0.597 &  0.806 &  0.403 \tabularnewline
101 &  0.5727 &  0.8545 &  0.4273 \tabularnewline
102 &  0.5431 &  0.9137 &  0.4569 \tabularnewline
103 &  0.5933 &  0.8133 &  0.4067 \tabularnewline
104 &  0.5821 &  0.8359 &  0.4179 \tabularnewline
105 &  0.5982 &  0.8036 &  0.4018 \tabularnewline
106 &  0.5706 &  0.8589 &  0.4294 \tabularnewline
107 &  0.5632 &  0.8736 &  0.4368 \tabularnewline
108 &  0.6003 &  0.7993 &  0.3997 \tabularnewline
109 &  0.574 &  0.8519 &  0.426 \tabularnewline
110 &  0.548 &  0.904 &  0.452 \tabularnewline
111 &  0.5526 &  0.8948 &  0.4474 \tabularnewline
112 &  0.5837 &  0.8327 &  0.4163 \tabularnewline
113 &  0.5835 &  0.8331 &  0.4165 \tabularnewline
114 &  0.6688 &  0.6625 &  0.3312 \tabularnewline
115 &  0.6371 &  0.7257 &  0.3629 \tabularnewline
116 &  0.614 &  0.772 &  0.386 \tabularnewline
117 &  0.584 &  0.8319 &  0.416 \tabularnewline
118 &  0.5604 &  0.8791 &  0.4396 \tabularnewline
119 &  0.5261 &  0.9479 &  0.4739 \tabularnewline
120 &  0.495 &  0.9899 &  0.505 \tabularnewline
121 &  0.4639 &  0.9278 &  0.5361 \tabularnewline
122 &  0.4329 &  0.8658 &  0.5671 \tabularnewline
123 &  0.4067 &  0.8134 &  0.5933 \tabularnewline
124 &  0.3741 &  0.7481 &  0.6259 \tabularnewline
125 &  0.3632 &  0.7265 &  0.6368 \tabularnewline
126 &  0.3338 &  0.6675 &  0.6662 \tabularnewline
127 &  0.3207 &  0.6414 &  0.6793 \tabularnewline
128 &  0.4244 &  0.8487 &  0.5756 \tabularnewline
129 &  0.4072 &  0.8144 &  0.5928 \tabularnewline
130 &  0.3955 &  0.791 &  0.6045 \tabularnewline
131 &  0.3809 &  0.7619 &  0.6191 \tabularnewline
132 &  0.3529 &  0.7058 &  0.6471 \tabularnewline
133 &  0.3736 &  0.7471 &  0.6264 \tabularnewline
134 &  0.3476 &  0.6952 &  0.6524 \tabularnewline
135 &  0.3581 &  0.7162 &  0.6419 \tabularnewline
136 &  0.3473 &  0.6945 &  0.6528 \tabularnewline
137 &  0.32 &  0.64 &  0.68 \tabularnewline
138 &  0.2961 &  0.5922 &  0.7039 \tabularnewline
139 &  0.2717 &  0.5433 &  0.7283 \tabularnewline
140 &  0.2485 &  0.497 &  0.7515 \tabularnewline
141 &  0.2223 &  0.4447 &  0.7777 \tabularnewline
142 &  0.2283 &  0.4566 &  0.7717 \tabularnewline
143 &  0.204 &  0.408 &  0.796 \tabularnewline
144 &  0.1835 &  0.3669 &  0.8165 \tabularnewline
145 &  0.1707 &  0.3414 &  0.8293 \tabularnewline
146 &  0.163 &  0.326 &  0.837 \tabularnewline
147 &  0.1701 &  0.3403 &  0.8299 \tabularnewline
148 &  0.186 &  0.3719 &  0.814 \tabularnewline
149 &  0.2028 &  0.4056 &  0.7972 \tabularnewline
150 &  0.2041 &  0.4082 &  0.7959 \tabularnewline
151 &  0.1827 &  0.3653 &  0.8174 \tabularnewline
152 &  0.1635 &  0.327 &  0.8365 \tabularnewline
153 &  0.1757 &  0.3514 &  0.8243 \tabularnewline
154 &  0.1909 &  0.3819 &  0.8091 \tabularnewline
155 &  0.1783 &  0.3567 &  0.8217 \tabularnewline
156 &  0.1561 &  0.3122 &  0.8439 \tabularnewline
157 &  0.1399 &  0.2798 &  0.8601 \tabularnewline
158 &  0.2271 &  0.4542 &  0.7729 \tabularnewline
159 &  0.2458 &  0.4917 &  0.7542 \tabularnewline
160 &  0.2246 &  0.4492 &  0.7754 \tabularnewline
161 &  0.203 &  0.406 &  0.797 \tabularnewline
162 &  0.1799 &  0.3598 &  0.8201 \tabularnewline
163 &  0.1587 &  0.3174 &  0.8413 \tabularnewline
164 &  0.2615 &  0.523 &  0.7385 \tabularnewline
165 &  0.2584 &  0.5167 &  0.7416 \tabularnewline
166 &  0.2559 &  0.5119 &  0.7441 \tabularnewline
167 &  0.2278 &  0.4556 &  0.7722 \tabularnewline
168 &  0.2066 &  0.4132 &  0.7934 \tabularnewline
169 &  0.2646 &  0.5292 &  0.7354 \tabularnewline
170 &  0.2934 &  0.5868 &  0.7066 \tabularnewline
171 &  0.2658 &  0.5316 &  0.7342 \tabularnewline
172 &  0.2614 &  0.5228 &  0.7386 \tabularnewline
173 &  0.4317 &  0.8635 &  0.5683 \tabularnewline
174 &  0.4174 &  0.8347 &  0.5826 \tabularnewline
175 &  0.4395 &  0.879 &  0.5605 \tabularnewline
176 &  0.4527 &  0.9055 &  0.5473 \tabularnewline
177 &  0.5096 &  0.9808 &  0.4904 \tabularnewline
178 &  0.4757 &  0.9514 &  0.5243 \tabularnewline
179 &  0.4537 &  0.9075 &  0.5463 \tabularnewline
180 &  0.4569 &  0.9137 &  0.5431 \tabularnewline
181 &  0.4194 &  0.8387 &  0.5806 \tabularnewline
182 &  0.4122 &  0.8243 &  0.5878 \tabularnewline
183 &  0.3749 &  0.7498 &  0.6251 \tabularnewline
184 &  0.3483 &  0.6965 &  0.6517 \tabularnewline
185 &  0.3648 &  0.7296 &  0.6352 \tabularnewline
186 &  0.3555 &  0.7111 &  0.6445 \tabularnewline
187 &  0.3205 &  0.6409 &  0.6795 \tabularnewline
188 &  0.2913 &  0.5827 &  0.7087 \tabularnewline
189 &  0.2594 &  0.5188 &  0.7406 \tabularnewline
190 &  0.2379 &  0.4758 &  0.7621 \tabularnewline
191 &  0.2469 &  0.4938 &  0.7531 \tabularnewline
192 &  0.2281 &  0.4561 &  0.7719 \tabularnewline
193 &  0.2456 &  0.4912 &  0.7544 \tabularnewline
194 &  0.2344 &  0.4687 &  0.7656 \tabularnewline
195 &  0.2343 &  0.4686 &  0.7657 \tabularnewline
196 &  0.2466 &  0.4931 &  0.7534 \tabularnewline
197 &  0.296 &  0.592 &  0.704 \tabularnewline
198 &  0.2771 &  0.5542 &  0.7229 \tabularnewline
199 &  0.3136 &  0.6272 &  0.6864 \tabularnewline
200 &  0.2804 &  0.5607 &  0.7196 \tabularnewline
201 &  0.3175 &  0.6351 &  0.6825 \tabularnewline
202 &  0.2945 &  0.589 &  0.7055 \tabularnewline
203 &  0.3422 &  0.6844 &  0.6578 \tabularnewline
204 &  0.3046 &  0.6092 &  0.6954 \tabularnewline
205 &  0.2701 &  0.5401 &  0.7299 \tabularnewline
206 &  0.2484 &  0.4967 &  0.7516 \tabularnewline
207 &  0.2163 &  0.4327 &  0.7837 \tabularnewline
208 &  0.2399 &  0.4798 &  0.7601 \tabularnewline
209 &  0.2075 &  0.4149 &  0.7925 \tabularnewline
210 &  0.2157 &  0.4314 &  0.7843 \tabularnewline
211 &  0.2418 &  0.4835 &  0.7582 \tabularnewline
212 &  0.2306 &  0.4612 &  0.7694 \tabularnewline
213 &  0.2036 &  0.4071 &  0.7964 \tabularnewline
214 &  0.2509 &  0.5019 &  0.7491 \tabularnewline
215 &  0.225 &  0.4499 &  0.775 \tabularnewline
216 &  0.2133 &  0.4266 &  0.7867 \tabularnewline
217 &  0.2449 &  0.4899 &  0.7551 \tabularnewline
218 &  0.2135 &  0.4269 &  0.7865 \tabularnewline
219 &  0.2023 &  0.4047 &  0.7977 \tabularnewline
220 &  0.2169 &  0.4337 &  0.7831 \tabularnewline
221 &  0.2301 &  0.4602 &  0.7699 \tabularnewline
222 &  0.2219 &  0.4438 &  0.7781 \tabularnewline
223 &  0.208 &  0.4161 &  0.792 \tabularnewline
224 &  0.1753 &  0.3507 &  0.8247 \tabularnewline
225 &  0.1733 &  0.3466 &  0.8267 \tabularnewline
226 &  0.2063 &  0.4126 &  0.7937 \tabularnewline
227 &  0.4131 &  0.8262 &  0.5869 \tabularnewline
228 &  0.3844 &  0.7688 &  0.6156 \tabularnewline
229 &  0.358 &  0.716 &  0.642 \tabularnewline
230 &  0.3421 &  0.6843 &  0.6579 \tabularnewline
231 &  0.2992 &  0.5985 &  0.7008 \tabularnewline
232 &  0.3426 &  0.6851 &  0.6574 \tabularnewline
233 &  0.2969 &  0.5937 &  0.7031 \tabularnewline
234 &  0.2526 &  0.5052 &  0.7474 \tabularnewline
235 &  0.2522 &  0.5044 &  0.7478 \tabularnewline
236 &  0.228 &  0.4559 &  0.772 \tabularnewline
237 &  0.1947 &  0.3894 &  0.8053 \tabularnewline
238 &  0.1551 &  0.3102 &  0.8449 \tabularnewline
239 &  0.2881 &  0.5762 &  0.7119 \tabularnewline
240 &  0.2775 &  0.555 &  0.7225 \tabularnewline
241 &  0.2459 &  0.4917 &  0.7541 \tabularnewline
242 &  0.4722 &  0.9443 &  0.5278 \tabularnewline
243 &  0.4292 &  0.8585 &  0.5708 \tabularnewline
244 &  0.3659 &  0.7319 &  0.6341 \tabularnewline
245 &  0.4929 &  0.9857 &  0.5071 \tabularnewline
246 &  0.4076 &  0.8151 &  0.5924 \tabularnewline
247 &  0.3241 &  0.6482 &  0.6759 \tabularnewline
248 &  0.4909 &  0.9817 &  0.5091 \tabularnewline
249 &  0.3906 &  0.7812 &  0.6094 \tabularnewline
250 &  0.2942 &  0.5884 &  0.7058 \tabularnewline
251 &  0.4442 &  0.8884 &  0.5558 \tabularnewline
252 &  0.9216 &  0.1568 &  0.0784 \tabularnewline
253 &  0.8406 &  0.3189 &  0.1594 \tabularnewline
254 &  0.7906 &  0.4188 &  0.2094 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279828&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]10[/C][C] 0.0506[/C][C] 0.1012[/C][C] 0.9494[/C][/ROW]
[ROW][C]11[/C][C] 0.0142[/C][C] 0.02839[/C][C] 0.9858[/C][/ROW]
[ROW][C]12[/C][C] 0.8277[/C][C] 0.3446[/C][C] 0.1723[/C][/ROW]
[ROW][C]13[/C][C] 0.9657[/C][C] 0.06859[/C][C] 0.03429[/C][/ROW]
[ROW][C]14[/C][C] 0.9675[/C][C] 0.06493[/C][C] 0.03247[/C][/ROW]
[ROW][C]15[/C][C] 0.9763[/C][C] 0.04731[/C][C] 0.02365[/C][/ROW]
[ROW][C]16[/C][C] 0.9609[/C][C] 0.0782[/C][C] 0.0391[/C][/ROW]
[ROW][C]17[/C][C] 0.9481[/C][C] 0.1039[/C][C] 0.05193[/C][/ROW]
[ROW][C]18[/C][C] 0.9293[/C][C] 0.1415[/C][C] 0.07073[/C][/ROW]
[ROW][C]19[/C][C] 0.9068[/C][C] 0.1865[/C][C] 0.09323[/C][/ROW]
[ROW][C]20[/C][C] 0.9011[/C][C] 0.1978[/C][C] 0.09888[/C][/ROW]
[ROW][C]21[/C][C] 0.9171[/C][C] 0.1658[/C][C] 0.08289[/C][/ROW]
[ROW][C]22[/C][C] 0.9509[/C][C] 0.09827[/C][C] 0.04914[/C][/ROW]
[ROW][C]23[/C][C] 0.9318[/C][C] 0.1365[/C][C] 0.06823[/C][/ROW]
[ROW][C]24[/C][C] 0.9152[/C][C] 0.1696[/C][C] 0.08479[/C][/ROW]
[ROW][C]25[/C][C] 0.8909[/C][C] 0.2182[/C][C] 0.1091[/C][/ROW]
[ROW][C]26[/C][C] 0.9983[/C][C] 0.003348[/C][C] 0.001674[/C][/ROW]
[ROW][C]27[/C][C] 0.9974[/C][C] 0.005103[/C][C] 0.002551[/C][/ROW]
[ROW][C]28[/C][C] 0.9961[/C][C] 0.007822[/C][C] 0.003911[/C][/ROW]
[ROW][C]29[/C][C] 0.9942[/C][C] 0.01163[/C][C] 0.005816[/C][/ROW]
[ROW][C]30[/C][C] 0.9968[/C][C] 0.006359[/C][C] 0.00318[/C][/ROW]
[ROW][C]31[/C][C] 0.9952[/C][C] 0.00956[/C][C] 0.00478[/C][/ROW]
[ROW][C]32[/C][C] 0.9931[/C][C] 0.01388[/C][C] 0.006938[/C][/ROW]
[ROW][C]33[/C][C] 0.9917[/C][C] 0.0166[/C][C] 0.0083[/C][/ROW]
[ROW][C]34[/C][C] 0.9882[/C][C] 0.02362[/C][C] 0.01181[/C][/ROW]
[ROW][C]35[/C][C] 0.9843[/C][C] 0.03138[/C][C] 0.01569[/C][/ROW]
[ROW][C]36[/C][C] 0.9785[/C][C] 0.04309[/C][C] 0.02154[/C][/ROW]
[ROW][C]37[/C][C] 0.9842[/C][C] 0.03159[/C][C] 0.0158[/C][/ROW]
[ROW][C]38[/C][C] 0.9786[/C][C] 0.04277[/C][C] 0.02138[/C][/ROW]
[ROW][C]39[/C][C] 0.976[/C][C] 0.04795[/C][C] 0.02398[/C][/ROW]
[ROW][C]40[/C][C] 0.9763[/C][C] 0.04735[/C][C] 0.02368[/C][/ROW]
[ROW][C]41[/C][C] 0.9694[/C][C] 0.0612[/C][C] 0.0306[/C][/ROW]
[ROW][C]42[/C][C] 0.9672[/C][C] 0.06566[/C][C] 0.03283[/C][/ROW]
[ROW][C]43[/C][C] 0.9575[/C][C] 0.08492[/C][C] 0.04246[/C][/ROW]
[ROW][C]44[/C][C] 0.9497[/C][C] 0.1005[/C][C] 0.05026[/C][/ROW]
[ROW][C]45[/C][C] 0.9363[/C][C] 0.1274[/C][C] 0.06371[/C][/ROW]
[ROW][C]46[/C][C] 0.9468[/C][C] 0.1065[/C][C] 0.05323[/C][/ROW]
[ROW][C]47[/C][C] 0.9327[/C][C] 0.1346[/C][C] 0.0673[/C][/ROW]
[ROW][C]48[/C][C] 0.9161[/C][C] 0.1678[/C][C] 0.08389[/C][/ROW]
[ROW][C]49[/C][C] 0.9336[/C][C] 0.1329[/C][C] 0.06644[/C][/ROW]
[ROW][C]50[/C][C] 0.9295[/C][C] 0.1411[/C][C] 0.07053[/C][/ROW]
[ROW][C]51[/C][C] 0.915[/C][C] 0.17[/C][C] 0.08501[/C][/ROW]
[ROW][C]52[/C][C] 0.8968[/C][C] 0.2065[/C][C] 0.1032[/C][/ROW]
[ROW][C]53[/C][C] 0.8807[/C][C] 0.2387[/C][C] 0.1193[/C][/ROW]
[ROW][C]54[/C][C] 0.8726[/C][C] 0.2548[/C][C] 0.1274[/C][/ROW]
[ROW][C]55[/C][C] 0.863[/C][C] 0.2741[/C][C] 0.137[/C][/ROW]
[ROW][C]56[/C][C] 0.8435[/C][C] 0.3129[/C][C] 0.1565[/C][/ROW]
[ROW][C]57[/C][C] 0.8304[/C][C] 0.3393[/C][C] 0.1696[/C][/ROW]
[ROW][C]58[/C][C] 0.8014[/C][C] 0.3972[/C][C] 0.1986[/C][/ROW]
[ROW][C]59[/C][C] 0.838[/C][C] 0.324[/C][C] 0.162[/C][/ROW]
[ROW][C]60[/C][C] 0.8331[/C][C] 0.3339[/C][C] 0.1669[/C][/ROW]
[ROW][C]61[/C][C] 0.8516[/C][C] 0.2968[/C][C] 0.1484[/C][/ROW]
[ROW][C]62[/C][C] 0.8478[/C][C] 0.3045[/C][C] 0.1522[/C][/ROW]
[ROW][C]63[/C][C] 0.9005[/C][C] 0.1989[/C][C] 0.09947[/C][/ROW]
[ROW][C]64[/C][C] 0.8881[/C][C] 0.2237[/C][C] 0.1119[/C][/ROW]
[ROW][C]65[/C][C] 0.8781[/C][C] 0.2438[/C][C] 0.1219[/C][/ROW]
[ROW][C]66[/C][C] 0.9548[/C][C] 0.09043[/C][C] 0.04522[/C][/ROW]
[ROW][C]67[/C][C] 0.9532[/C][C] 0.09351[/C][C] 0.04676[/C][/ROW]
[ROW][C]68[/C][C] 0.9581[/C][C] 0.08387[/C][C] 0.04194[/C][/ROW]
[ROW][C]69[/C][C] 0.9527[/C][C] 0.09451[/C][C] 0.04726[/C][/ROW]
[ROW][C]70[/C][C] 0.9461[/C][C] 0.1078[/C][C] 0.05392[/C][/ROW]
[ROW][C]71[/C][C] 0.9348[/C][C] 0.1304[/C][C] 0.0652[/C][/ROW]
[ROW][C]72[/C][C] 0.9502[/C][C] 0.09953[/C][C] 0.04977[/C][/ROW]
[ROW][C]73[/C][C] 0.9396[/C][C] 0.1208[/C][C] 0.0604[/C][/ROW]
[ROW][C]74[/C][C] 0.9274[/C][C] 0.1451[/C][C] 0.07257[/C][/ROW]
[ROW][C]75[/C][C] 0.9226[/C][C] 0.1548[/C][C] 0.0774[/C][/ROW]
[ROW][C]76[/C][C] 0.9083[/C][C] 0.1834[/C][C] 0.09172[/C][/ROW]
[ROW][C]77[/C][C] 0.9214[/C][C] 0.1573[/C][C] 0.07865[/C][/ROW]
[ROW][C]78[/C][C] 0.9068[/C][C] 0.1863[/C][C] 0.09317[/C][/ROW]
[ROW][C]79[/C][C] 0.8975[/C][C] 0.2051[/C][C] 0.1025[/C][/ROW]
[ROW][C]80[/C][C] 0.8901[/C][C] 0.2197[/C][C] 0.1099[/C][/ROW]
[ROW][C]81[/C][C] 0.8709[/C][C] 0.2583[/C][C] 0.1291[/C][/ROW]
[ROW][C]82[/C][C] 0.8506[/C][C] 0.2988[/C][C] 0.1494[/C][/ROW]
[ROW][C]83[/C][C] 0.843[/C][C] 0.3139[/C][C] 0.157[/C][/ROW]
[ROW][C]84[/C][C] 0.8218[/C][C] 0.3563[/C][C] 0.1782[/C][/ROW]
[ROW][C]85[/C][C] 0.7957[/C][C] 0.4085[/C][C] 0.2043[/C][/ROW]
[ROW][C]86[/C][C] 0.7715[/C][C] 0.457[/C][C] 0.2285[/C][/ROW]
[ROW][C]87[/C][C] 0.7421[/C][C] 0.5157[/C][C] 0.2579[/C][/ROW]
[ROW][C]88[/C][C] 0.711[/C][C] 0.578[/C][C] 0.289[/C][/ROW]
[ROW][C]89[/C][C] 0.7867[/C][C] 0.4266[/C][C] 0.2133[/C][/ROW]
[ROW][C]90[/C][C] 0.8214[/C][C] 0.3573[/C][C] 0.1786[/C][/ROW]
[ROW][C]91[/C][C] 0.7963[/C][C] 0.4074[/C][C] 0.2037[/C][/ROW]
[ROW][C]92[/C][C] 0.7722[/C][C] 0.4557[/C][C] 0.2278[/C][/ROW]
[ROW][C]93[/C][C] 0.7481[/C][C] 0.5039[/C][C] 0.2519[/C][/ROW]
[ROW][C]94[/C][C] 0.7229[/C][C] 0.5543[/C][C] 0.2771[/C][/ROW]
[ROW][C]95[/C][C] 0.6959[/C][C] 0.6082[/C][C] 0.3041[/C][/ROW]
[ROW][C]96[/C][C] 0.67[/C][C] 0.6599[/C][C] 0.33[/C][/ROW]
[ROW][C]97[/C][C] 0.6421[/C][C] 0.7159[/C][C] 0.3579[/C][/ROW]
[ROW][C]98[/C][C] 0.6407[/C][C] 0.7187[/C][C] 0.3593[/C][/ROW]
[ROW][C]99[/C][C] 0.6065[/C][C] 0.787[/C][C] 0.3935[/C][/ROW]
[ROW][C]100[/C][C] 0.597[/C][C] 0.806[/C][C] 0.403[/C][/ROW]
[ROW][C]101[/C][C] 0.5727[/C][C] 0.8545[/C][C] 0.4273[/C][/ROW]
[ROW][C]102[/C][C] 0.5431[/C][C] 0.9137[/C][C] 0.4569[/C][/ROW]
[ROW][C]103[/C][C] 0.5933[/C][C] 0.8133[/C][C] 0.4067[/C][/ROW]
[ROW][C]104[/C][C] 0.5821[/C][C] 0.8359[/C][C] 0.4179[/C][/ROW]
[ROW][C]105[/C][C] 0.5982[/C][C] 0.8036[/C][C] 0.4018[/C][/ROW]
[ROW][C]106[/C][C] 0.5706[/C][C] 0.8589[/C][C] 0.4294[/C][/ROW]
[ROW][C]107[/C][C] 0.5632[/C][C] 0.8736[/C][C] 0.4368[/C][/ROW]
[ROW][C]108[/C][C] 0.6003[/C][C] 0.7993[/C][C] 0.3997[/C][/ROW]
[ROW][C]109[/C][C] 0.574[/C][C] 0.8519[/C][C] 0.426[/C][/ROW]
[ROW][C]110[/C][C] 0.548[/C][C] 0.904[/C][C] 0.452[/C][/ROW]
[ROW][C]111[/C][C] 0.5526[/C][C] 0.8948[/C][C] 0.4474[/C][/ROW]
[ROW][C]112[/C][C] 0.5837[/C][C] 0.8327[/C][C] 0.4163[/C][/ROW]
[ROW][C]113[/C][C] 0.5835[/C][C] 0.8331[/C][C] 0.4165[/C][/ROW]
[ROW][C]114[/C][C] 0.6688[/C][C] 0.6625[/C][C] 0.3312[/C][/ROW]
[ROW][C]115[/C][C] 0.6371[/C][C] 0.7257[/C][C] 0.3629[/C][/ROW]
[ROW][C]116[/C][C] 0.614[/C][C] 0.772[/C][C] 0.386[/C][/ROW]
[ROW][C]117[/C][C] 0.584[/C][C] 0.8319[/C][C] 0.416[/C][/ROW]
[ROW][C]118[/C][C] 0.5604[/C][C] 0.8791[/C][C] 0.4396[/C][/ROW]
[ROW][C]119[/C][C] 0.5261[/C][C] 0.9479[/C][C] 0.4739[/C][/ROW]
[ROW][C]120[/C][C] 0.495[/C][C] 0.9899[/C][C] 0.505[/C][/ROW]
[ROW][C]121[/C][C] 0.4639[/C][C] 0.9278[/C][C] 0.5361[/C][/ROW]
[ROW][C]122[/C][C] 0.4329[/C][C] 0.8658[/C][C] 0.5671[/C][/ROW]
[ROW][C]123[/C][C] 0.4067[/C][C] 0.8134[/C][C] 0.5933[/C][/ROW]
[ROW][C]124[/C][C] 0.3741[/C][C] 0.7481[/C][C] 0.6259[/C][/ROW]
[ROW][C]125[/C][C] 0.3632[/C][C] 0.7265[/C][C] 0.6368[/C][/ROW]
[ROW][C]126[/C][C] 0.3338[/C][C] 0.6675[/C][C] 0.6662[/C][/ROW]
[ROW][C]127[/C][C] 0.3207[/C][C] 0.6414[/C][C] 0.6793[/C][/ROW]
[ROW][C]128[/C][C] 0.4244[/C][C] 0.8487[/C][C] 0.5756[/C][/ROW]
[ROW][C]129[/C][C] 0.4072[/C][C] 0.8144[/C][C] 0.5928[/C][/ROW]
[ROW][C]130[/C][C] 0.3955[/C][C] 0.791[/C][C] 0.6045[/C][/ROW]
[ROW][C]131[/C][C] 0.3809[/C][C] 0.7619[/C][C] 0.6191[/C][/ROW]
[ROW][C]132[/C][C] 0.3529[/C][C] 0.7058[/C][C] 0.6471[/C][/ROW]
[ROW][C]133[/C][C] 0.3736[/C][C] 0.7471[/C][C] 0.6264[/C][/ROW]
[ROW][C]134[/C][C] 0.3476[/C][C] 0.6952[/C][C] 0.6524[/C][/ROW]
[ROW][C]135[/C][C] 0.3581[/C][C] 0.7162[/C][C] 0.6419[/C][/ROW]
[ROW][C]136[/C][C] 0.3473[/C][C] 0.6945[/C][C] 0.6528[/C][/ROW]
[ROW][C]137[/C][C] 0.32[/C][C] 0.64[/C][C] 0.68[/C][/ROW]
[ROW][C]138[/C][C] 0.2961[/C][C] 0.5922[/C][C] 0.7039[/C][/ROW]
[ROW][C]139[/C][C] 0.2717[/C][C] 0.5433[/C][C] 0.7283[/C][/ROW]
[ROW][C]140[/C][C] 0.2485[/C][C] 0.497[/C][C] 0.7515[/C][/ROW]
[ROW][C]141[/C][C] 0.2223[/C][C] 0.4447[/C][C] 0.7777[/C][/ROW]
[ROW][C]142[/C][C] 0.2283[/C][C] 0.4566[/C][C] 0.7717[/C][/ROW]
[ROW][C]143[/C][C] 0.204[/C][C] 0.408[/C][C] 0.796[/C][/ROW]
[ROW][C]144[/C][C] 0.1835[/C][C] 0.3669[/C][C] 0.8165[/C][/ROW]
[ROW][C]145[/C][C] 0.1707[/C][C] 0.3414[/C][C] 0.8293[/C][/ROW]
[ROW][C]146[/C][C] 0.163[/C][C] 0.326[/C][C] 0.837[/C][/ROW]
[ROW][C]147[/C][C] 0.1701[/C][C] 0.3403[/C][C] 0.8299[/C][/ROW]
[ROW][C]148[/C][C] 0.186[/C][C] 0.3719[/C][C] 0.814[/C][/ROW]
[ROW][C]149[/C][C] 0.2028[/C][C] 0.4056[/C][C] 0.7972[/C][/ROW]
[ROW][C]150[/C][C] 0.2041[/C][C] 0.4082[/C][C] 0.7959[/C][/ROW]
[ROW][C]151[/C][C] 0.1827[/C][C] 0.3653[/C][C] 0.8174[/C][/ROW]
[ROW][C]152[/C][C] 0.1635[/C][C] 0.327[/C][C] 0.8365[/C][/ROW]
[ROW][C]153[/C][C] 0.1757[/C][C] 0.3514[/C][C] 0.8243[/C][/ROW]
[ROW][C]154[/C][C] 0.1909[/C][C] 0.3819[/C][C] 0.8091[/C][/ROW]
[ROW][C]155[/C][C] 0.1783[/C][C] 0.3567[/C][C] 0.8217[/C][/ROW]
[ROW][C]156[/C][C] 0.1561[/C][C] 0.3122[/C][C] 0.8439[/C][/ROW]
[ROW][C]157[/C][C] 0.1399[/C][C] 0.2798[/C][C] 0.8601[/C][/ROW]
[ROW][C]158[/C][C] 0.2271[/C][C] 0.4542[/C][C] 0.7729[/C][/ROW]
[ROW][C]159[/C][C] 0.2458[/C][C] 0.4917[/C][C] 0.7542[/C][/ROW]
[ROW][C]160[/C][C] 0.2246[/C][C] 0.4492[/C][C] 0.7754[/C][/ROW]
[ROW][C]161[/C][C] 0.203[/C][C] 0.406[/C][C] 0.797[/C][/ROW]
[ROW][C]162[/C][C] 0.1799[/C][C] 0.3598[/C][C] 0.8201[/C][/ROW]
[ROW][C]163[/C][C] 0.1587[/C][C] 0.3174[/C][C] 0.8413[/C][/ROW]
[ROW][C]164[/C][C] 0.2615[/C][C] 0.523[/C][C] 0.7385[/C][/ROW]
[ROW][C]165[/C][C] 0.2584[/C][C] 0.5167[/C][C] 0.7416[/C][/ROW]
[ROW][C]166[/C][C] 0.2559[/C][C] 0.5119[/C][C] 0.7441[/C][/ROW]
[ROW][C]167[/C][C] 0.2278[/C][C] 0.4556[/C][C] 0.7722[/C][/ROW]
[ROW][C]168[/C][C] 0.2066[/C][C] 0.4132[/C][C] 0.7934[/C][/ROW]
[ROW][C]169[/C][C] 0.2646[/C][C] 0.5292[/C][C] 0.7354[/C][/ROW]
[ROW][C]170[/C][C] 0.2934[/C][C] 0.5868[/C][C] 0.7066[/C][/ROW]
[ROW][C]171[/C][C] 0.2658[/C][C] 0.5316[/C][C] 0.7342[/C][/ROW]
[ROW][C]172[/C][C] 0.2614[/C][C] 0.5228[/C][C] 0.7386[/C][/ROW]
[ROW][C]173[/C][C] 0.4317[/C][C] 0.8635[/C][C] 0.5683[/C][/ROW]
[ROW][C]174[/C][C] 0.4174[/C][C] 0.8347[/C][C] 0.5826[/C][/ROW]
[ROW][C]175[/C][C] 0.4395[/C][C] 0.879[/C][C] 0.5605[/C][/ROW]
[ROW][C]176[/C][C] 0.4527[/C][C] 0.9055[/C][C] 0.5473[/C][/ROW]
[ROW][C]177[/C][C] 0.5096[/C][C] 0.9808[/C][C] 0.4904[/C][/ROW]
[ROW][C]178[/C][C] 0.4757[/C][C] 0.9514[/C][C] 0.5243[/C][/ROW]
[ROW][C]179[/C][C] 0.4537[/C][C] 0.9075[/C][C] 0.5463[/C][/ROW]
[ROW][C]180[/C][C] 0.4569[/C][C] 0.9137[/C][C] 0.5431[/C][/ROW]
[ROW][C]181[/C][C] 0.4194[/C][C] 0.8387[/C][C] 0.5806[/C][/ROW]
[ROW][C]182[/C][C] 0.4122[/C][C] 0.8243[/C][C] 0.5878[/C][/ROW]
[ROW][C]183[/C][C] 0.3749[/C][C] 0.7498[/C][C] 0.6251[/C][/ROW]
[ROW][C]184[/C][C] 0.3483[/C][C] 0.6965[/C][C] 0.6517[/C][/ROW]
[ROW][C]185[/C][C] 0.3648[/C][C] 0.7296[/C][C] 0.6352[/C][/ROW]
[ROW][C]186[/C][C] 0.3555[/C][C] 0.7111[/C][C] 0.6445[/C][/ROW]
[ROW][C]187[/C][C] 0.3205[/C][C] 0.6409[/C][C] 0.6795[/C][/ROW]
[ROW][C]188[/C][C] 0.2913[/C][C] 0.5827[/C][C] 0.7087[/C][/ROW]
[ROW][C]189[/C][C] 0.2594[/C][C] 0.5188[/C][C] 0.7406[/C][/ROW]
[ROW][C]190[/C][C] 0.2379[/C][C] 0.4758[/C][C] 0.7621[/C][/ROW]
[ROW][C]191[/C][C] 0.2469[/C][C] 0.4938[/C][C] 0.7531[/C][/ROW]
[ROW][C]192[/C][C] 0.2281[/C][C] 0.4561[/C][C] 0.7719[/C][/ROW]
[ROW][C]193[/C][C] 0.2456[/C][C] 0.4912[/C][C] 0.7544[/C][/ROW]
[ROW][C]194[/C][C] 0.2344[/C][C] 0.4687[/C][C] 0.7656[/C][/ROW]
[ROW][C]195[/C][C] 0.2343[/C][C] 0.4686[/C][C] 0.7657[/C][/ROW]
[ROW][C]196[/C][C] 0.2466[/C][C] 0.4931[/C][C] 0.7534[/C][/ROW]
[ROW][C]197[/C][C] 0.296[/C][C] 0.592[/C][C] 0.704[/C][/ROW]
[ROW][C]198[/C][C] 0.2771[/C][C] 0.5542[/C][C] 0.7229[/C][/ROW]
[ROW][C]199[/C][C] 0.3136[/C][C] 0.6272[/C][C] 0.6864[/C][/ROW]
[ROW][C]200[/C][C] 0.2804[/C][C] 0.5607[/C][C] 0.7196[/C][/ROW]
[ROW][C]201[/C][C] 0.3175[/C][C] 0.6351[/C][C] 0.6825[/C][/ROW]
[ROW][C]202[/C][C] 0.2945[/C][C] 0.589[/C][C] 0.7055[/C][/ROW]
[ROW][C]203[/C][C] 0.3422[/C][C] 0.6844[/C][C] 0.6578[/C][/ROW]
[ROW][C]204[/C][C] 0.3046[/C][C] 0.6092[/C][C] 0.6954[/C][/ROW]
[ROW][C]205[/C][C] 0.2701[/C][C] 0.5401[/C][C] 0.7299[/C][/ROW]
[ROW][C]206[/C][C] 0.2484[/C][C] 0.4967[/C][C] 0.7516[/C][/ROW]
[ROW][C]207[/C][C] 0.2163[/C][C] 0.4327[/C][C] 0.7837[/C][/ROW]
[ROW][C]208[/C][C] 0.2399[/C][C] 0.4798[/C][C] 0.7601[/C][/ROW]
[ROW][C]209[/C][C] 0.2075[/C][C] 0.4149[/C][C] 0.7925[/C][/ROW]
[ROW][C]210[/C][C] 0.2157[/C][C] 0.4314[/C][C] 0.7843[/C][/ROW]
[ROW][C]211[/C][C] 0.2418[/C][C] 0.4835[/C][C] 0.7582[/C][/ROW]
[ROW][C]212[/C][C] 0.2306[/C][C] 0.4612[/C][C] 0.7694[/C][/ROW]
[ROW][C]213[/C][C] 0.2036[/C][C] 0.4071[/C][C] 0.7964[/C][/ROW]
[ROW][C]214[/C][C] 0.2509[/C][C] 0.5019[/C][C] 0.7491[/C][/ROW]
[ROW][C]215[/C][C] 0.225[/C][C] 0.4499[/C][C] 0.775[/C][/ROW]
[ROW][C]216[/C][C] 0.2133[/C][C] 0.4266[/C][C] 0.7867[/C][/ROW]
[ROW][C]217[/C][C] 0.2449[/C][C] 0.4899[/C][C] 0.7551[/C][/ROW]
[ROW][C]218[/C][C] 0.2135[/C][C] 0.4269[/C][C] 0.7865[/C][/ROW]
[ROW][C]219[/C][C] 0.2023[/C][C] 0.4047[/C][C] 0.7977[/C][/ROW]
[ROW][C]220[/C][C] 0.2169[/C][C] 0.4337[/C][C] 0.7831[/C][/ROW]
[ROW][C]221[/C][C] 0.2301[/C][C] 0.4602[/C][C] 0.7699[/C][/ROW]
[ROW][C]222[/C][C] 0.2219[/C][C] 0.4438[/C][C] 0.7781[/C][/ROW]
[ROW][C]223[/C][C] 0.208[/C][C] 0.4161[/C][C] 0.792[/C][/ROW]
[ROW][C]224[/C][C] 0.1753[/C][C] 0.3507[/C][C] 0.8247[/C][/ROW]
[ROW][C]225[/C][C] 0.1733[/C][C] 0.3466[/C][C] 0.8267[/C][/ROW]
[ROW][C]226[/C][C] 0.2063[/C][C] 0.4126[/C][C] 0.7937[/C][/ROW]
[ROW][C]227[/C][C] 0.4131[/C][C] 0.8262[/C][C] 0.5869[/C][/ROW]
[ROW][C]228[/C][C] 0.3844[/C][C] 0.7688[/C][C] 0.6156[/C][/ROW]
[ROW][C]229[/C][C] 0.358[/C][C] 0.716[/C][C] 0.642[/C][/ROW]
[ROW][C]230[/C][C] 0.3421[/C][C] 0.6843[/C][C] 0.6579[/C][/ROW]
[ROW][C]231[/C][C] 0.2992[/C][C] 0.5985[/C][C] 0.7008[/C][/ROW]
[ROW][C]232[/C][C] 0.3426[/C][C] 0.6851[/C][C] 0.6574[/C][/ROW]
[ROW][C]233[/C][C] 0.2969[/C][C] 0.5937[/C][C] 0.7031[/C][/ROW]
[ROW][C]234[/C][C] 0.2526[/C][C] 0.5052[/C][C] 0.7474[/C][/ROW]
[ROW][C]235[/C][C] 0.2522[/C][C] 0.5044[/C][C] 0.7478[/C][/ROW]
[ROW][C]236[/C][C] 0.228[/C][C] 0.4559[/C][C] 0.772[/C][/ROW]
[ROW][C]237[/C][C] 0.1947[/C][C] 0.3894[/C][C] 0.8053[/C][/ROW]
[ROW][C]238[/C][C] 0.1551[/C][C] 0.3102[/C][C] 0.8449[/C][/ROW]
[ROW][C]239[/C][C] 0.2881[/C][C] 0.5762[/C][C] 0.7119[/C][/ROW]
[ROW][C]240[/C][C] 0.2775[/C][C] 0.555[/C][C] 0.7225[/C][/ROW]
[ROW][C]241[/C][C] 0.2459[/C][C] 0.4917[/C][C] 0.7541[/C][/ROW]
[ROW][C]242[/C][C] 0.4722[/C][C] 0.9443[/C][C] 0.5278[/C][/ROW]
[ROW][C]243[/C][C] 0.4292[/C][C] 0.8585[/C][C] 0.5708[/C][/ROW]
[ROW][C]244[/C][C] 0.3659[/C][C] 0.7319[/C][C] 0.6341[/C][/ROW]
[ROW][C]245[/C][C] 0.4929[/C][C] 0.9857[/C][C] 0.5071[/C][/ROW]
[ROW][C]246[/C][C] 0.4076[/C][C] 0.8151[/C][C] 0.5924[/C][/ROW]
[ROW][C]247[/C][C] 0.3241[/C][C] 0.6482[/C][C] 0.6759[/C][/ROW]
[ROW][C]248[/C][C] 0.4909[/C][C] 0.9817[/C][C] 0.5091[/C][/ROW]
[ROW][C]249[/C][C] 0.3906[/C][C] 0.7812[/C][C] 0.6094[/C][/ROW]
[ROW][C]250[/C][C] 0.2942[/C][C] 0.5884[/C][C] 0.7058[/C][/ROW]
[ROW][C]251[/C][C] 0.4442[/C][C] 0.8884[/C][C] 0.5558[/C][/ROW]
[ROW][C]252[/C][C] 0.9216[/C][C] 0.1568[/C][C] 0.0784[/C][/ROW]
[ROW][C]253[/C][C] 0.8406[/C][C] 0.3189[/C][C] 0.1594[/C][/ROW]
[ROW][C]254[/C][C] 0.7906[/C][C] 0.4188[/C][C] 0.2094[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279828&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279828&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
10 0.0506 0.1012 0.9494
11 0.0142 0.02839 0.9858
12 0.8277 0.3446 0.1723
13 0.9657 0.06859 0.03429
14 0.9675 0.06493 0.03247
15 0.9763 0.04731 0.02365
16 0.9609 0.0782 0.0391
17 0.9481 0.1039 0.05193
18 0.9293 0.1415 0.07073
19 0.9068 0.1865 0.09323
20 0.9011 0.1978 0.09888
21 0.9171 0.1658 0.08289
22 0.9509 0.09827 0.04914
23 0.9318 0.1365 0.06823
24 0.9152 0.1696 0.08479
25 0.8909 0.2182 0.1091
26 0.9983 0.003348 0.001674
27 0.9974 0.005103 0.002551
28 0.9961 0.007822 0.003911
29 0.9942 0.01163 0.005816
30 0.9968 0.006359 0.00318
31 0.9952 0.00956 0.00478
32 0.9931 0.01388 0.006938
33 0.9917 0.0166 0.0083
34 0.9882 0.02362 0.01181
35 0.9843 0.03138 0.01569
36 0.9785 0.04309 0.02154
37 0.9842 0.03159 0.0158
38 0.9786 0.04277 0.02138
39 0.976 0.04795 0.02398
40 0.9763 0.04735 0.02368
41 0.9694 0.0612 0.0306
42 0.9672 0.06566 0.03283
43 0.9575 0.08492 0.04246
44 0.9497 0.1005 0.05026
45 0.9363 0.1274 0.06371
46 0.9468 0.1065 0.05323
47 0.9327 0.1346 0.0673
48 0.9161 0.1678 0.08389
49 0.9336 0.1329 0.06644
50 0.9295 0.1411 0.07053
51 0.915 0.17 0.08501
52 0.8968 0.2065 0.1032
53 0.8807 0.2387 0.1193
54 0.8726 0.2548 0.1274
55 0.863 0.2741 0.137
56 0.8435 0.3129 0.1565
57 0.8304 0.3393 0.1696
58 0.8014 0.3972 0.1986
59 0.838 0.324 0.162
60 0.8331 0.3339 0.1669
61 0.8516 0.2968 0.1484
62 0.8478 0.3045 0.1522
63 0.9005 0.1989 0.09947
64 0.8881 0.2237 0.1119
65 0.8781 0.2438 0.1219
66 0.9548 0.09043 0.04522
67 0.9532 0.09351 0.04676
68 0.9581 0.08387 0.04194
69 0.9527 0.09451 0.04726
70 0.9461 0.1078 0.05392
71 0.9348 0.1304 0.0652
72 0.9502 0.09953 0.04977
73 0.9396 0.1208 0.0604
74 0.9274 0.1451 0.07257
75 0.9226 0.1548 0.0774
76 0.9083 0.1834 0.09172
77 0.9214 0.1573 0.07865
78 0.9068 0.1863 0.09317
79 0.8975 0.2051 0.1025
80 0.8901 0.2197 0.1099
81 0.8709 0.2583 0.1291
82 0.8506 0.2988 0.1494
83 0.843 0.3139 0.157
84 0.8218 0.3563 0.1782
85 0.7957 0.4085 0.2043
86 0.7715 0.457 0.2285
87 0.7421 0.5157 0.2579
88 0.711 0.578 0.289
89 0.7867 0.4266 0.2133
90 0.8214 0.3573 0.1786
91 0.7963 0.4074 0.2037
92 0.7722 0.4557 0.2278
93 0.7481 0.5039 0.2519
94 0.7229 0.5543 0.2771
95 0.6959 0.6082 0.3041
96 0.67 0.6599 0.33
97 0.6421 0.7159 0.3579
98 0.6407 0.7187 0.3593
99 0.6065 0.787 0.3935
100 0.597 0.806 0.403
101 0.5727 0.8545 0.4273
102 0.5431 0.9137 0.4569
103 0.5933 0.8133 0.4067
104 0.5821 0.8359 0.4179
105 0.5982 0.8036 0.4018
106 0.5706 0.8589 0.4294
107 0.5632 0.8736 0.4368
108 0.6003 0.7993 0.3997
109 0.574 0.8519 0.426
110 0.548 0.904 0.452
111 0.5526 0.8948 0.4474
112 0.5837 0.8327 0.4163
113 0.5835 0.8331 0.4165
114 0.6688 0.6625 0.3312
115 0.6371 0.7257 0.3629
116 0.614 0.772 0.386
117 0.584 0.8319 0.416
118 0.5604 0.8791 0.4396
119 0.5261 0.9479 0.4739
120 0.495 0.9899 0.505
121 0.4639 0.9278 0.5361
122 0.4329 0.8658 0.5671
123 0.4067 0.8134 0.5933
124 0.3741 0.7481 0.6259
125 0.3632 0.7265 0.6368
126 0.3338 0.6675 0.6662
127 0.3207 0.6414 0.6793
128 0.4244 0.8487 0.5756
129 0.4072 0.8144 0.5928
130 0.3955 0.791 0.6045
131 0.3809 0.7619 0.6191
132 0.3529 0.7058 0.6471
133 0.3736 0.7471 0.6264
134 0.3476 0.6952 0.6524
135 0.3581 0.7162 0.6419
136 0.3473 0.6945 0.6528
137 0.32 0.64 0.68
138 0.2961 0.5922 0.7039
139 0.2717 0.5433 0.7283
140 0.2485 0.497 0.7515
141 0.2223 0.4447 0.7777
142 0.2283 0.4566 0.7717
143 0.204 0.408 0.796
144 0.1835 0.3669 0.8165
145 0.1707 0.3414 0.8293
146 0.163 0.326 0.837
147 0.1701 0.3403 0.8299
148 0.186 0.3719 0.814
149 0.2028 0.4056 0.7972
150 0.2041 0.4082 0.7959
151 0.1827 0.3653 0.8174
152 0.1635 0.327 0.8365
153 0.1757 0.3514 0.8243
154 0.1909 0.3819 0.8091
155 0.1783 0.3567 0.8217
156 0.1561 0.3122 0.8439
157 0.1399 0.2798 0.8601
158 0.2271 0.4542 0.7729
159 0.2458 0.4917 0.7542
160 0.2246 0.4492 0.7754
161 0.203 0.406 0.797
162 0.1799 0.3598 0.8201
163 0.1587 0.3174 0.8413
164 0.2615 0.523 0.7385
165 0.2584 0.5167 0.7416
166 0.2559 0.5119 0.7441
167 0.2278 0.4556 0.7722
168 0.2066 0.4132 0.7934
169 0.2646 0.5292 0.7354
170 0.2934 0.5868 0.7066
171 0.2658 0.5316 0.7342
172 0.2614 0.5228 0.7386
173 0.4317 0.8635 0.5683
174 0.4174 0.8347 0.5826
175 0.4395 0.879 0.5605
176 0.4527 0.9055 0.5473
177 0.5096 0.9808 0.4904
178 0.4757 0.9514 0.5243
179 0.4537 0.9075 0.5463
180 0.4569 0.9137 0.5431
181 0.4194 0.8387 0.5806
182 0.4122 0.8243 0.5878
183 0.3749 0.7498 0.6251
184 0.3483 0.6965 0.6517
185 0.3648 0.7296 0.6352
186 0.3555 0.7111 0.6445
187 0.3205 0.6409 0.6795
188 0.2913 0.5827 0.7087
189 0.2594 0.5188 0.7406
190 0.2379 0.4758 0.7621
191 0.2469 0.4938 0.7531
192 0.2281 0.4561 0.7719
193 0.2456 0.4912 0.7544
194 0.2344 0.4687 0.7656
195 0.2343 0.4686 0.7657
196 0.2466 0.4931 0.7534
197 0.296 0.592 0.704
198 0.2771 0.5542 0.7229
199 0.3136 0.6272 0.6864
200 0.2804 0.5607 0.7196
201 0.3175 0.6351 0.6825
202 0.2945 0.589 0.7055
203 0.3422 0.6844 0.6578
204 0.3046 0.6092 0.6954
205 0.2701 0.5401 0.7299
206 0.2484 0.4967 0.7516
207 0.2163 0.4327 0.7837
208 0.2399 0.4798 0.7601
209 0.2075 0.4149 0.7925
210 0.2157 0.4314 0.7843
211 0.2418 0.4835 0.7582
212 0.2306 0.4612 0.7694
213 0.2036 0.4071 0.7964
214 0.2509 0.5019 0.7491
215 0.225 0.4499 0.775
216 0.2133 0.4266 0.7867
217 0.2449 0.4899 0.7551
218 0.2135 0.4269 0.7865
219 0.2023 0.4047 0.7977
220 0.2169 0.4337 0.7831
221 0.2301 0.4602 0.7699
222 0.2219 0.4438 0.7781
223 0.208 0.4161 0.792
224 0.1753 0.3507 0.8247
225 0.1733 0.3466 0.8267
226 0.2063 0.4126 0.7937
227 0.4131 0.8262 0.5869
228 0.3844 0.7688 0.6156
229 0.358 0.716 0.642
230 0.3421 0.6843 0.6579
231 0.2992 0.5985 0.7008
232 0.3426 0.6851 0.6574
233 0.2969 0.5937 0.7031
234 0.2526 0.5052 0.7474
235 0.2522 0.5044 0.7478
236 0.228 0.4559 0.772
237 0.1947 0.3894 0.8053
238 0.1551 0.3102 0.8449
239 0.2881 0.5762 0.7119
240 0.2775 0.555 0.7225
241 0.2459 0.4917 0.7541
242 0.4722 0.9443 0.5278
243 0.4292 0.8585 0.5708
244 0.3659 0.7319 0.6341
245 0.4929 0.9857 0.5071
246 0.4076 0.8151 0.5924
247 0.3241 0.6482 0.6759
248 0.4909 0.9817 0.5091
249 0.3906 0.7812 0.6094
250 0.2942 0.5884 0.7058
251 0.4442 0.8884 0.5558
252 0.9216 0.1568 0.0784
253 0.8406 0.3189 0.1594
254 0.7906 0.4188 0.2094






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level5 0.02041NOK
5% type I error level170.0693878NOK
10% type I error level290.118367NOK

\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 & 5 &  0.02041 & NOK \tabularnewline
5% type I error level & 17 & 0.0693878 & NOK \tabularnewline
10% type I error level & 29 & 0.118367 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279828&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]5[/C][C] 0.02041[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]17[/C][C]0.0693878[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]29[/C][C]0.118367[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279828&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279828&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level5 0.02041NOK
5% type I error level170.0693878NOK
10% type I error level290.118367NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

Parameters (Session):
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 <- '1'
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
mywarning <- ''
par1 <- as.numeric(par1)
if(is.na(par1)) {
par1 <- 1
mywarning = 'Warning: you did not specify the column number of the endogenous series! The first column was selected by default.'
}
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$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, mywarning)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,formatC(signif(mysum$coefficients[i,1],5),format='g',flag='+'))
a<-table.element(a,formatC(signif(mysum$coefficients[i,2],5),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$coefficients[i,3],4),format='e',flag='+'))
a<-table.element(a,formatC(signif(mysum$coefficients[i,4],4),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$coefficients[i,4]/2,4),format='g',flag=' '))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a,formatC(signif(sqrt(mysum$r.squared),6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a,formatC(signif(mysum$r.squared,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a,formatC(signif(mysum$adj.r.squared,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a,formatC(signif(mysum$fstatistic[1],6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$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$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a,formatC(signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6),format='g',flag=' '))
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,formatC(signif(mysum$sigma,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a,formatC(signif(sum(myerror*myerror),6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,formatC(signif(x[i],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(x[i]-mysum$resid[i],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$resid[i],6),format='g',flag=' '))
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,formatC(signif(gqarr[mypoint-kp3+1,1],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,2],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,3],6),format='g',flag=' '))
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,formatC(signif(numsignificant1/numgqtests,6),format='g',flag=' '))
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')
}