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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 computationFri, 15 Nov 2013 09:23:11 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Nov/15/t1384525422lu0elmr8s9097ge.htm/, Retrieved Tue, 30 Apr 2024 11:00:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=225491, Retrieved Tue, 30 Apr 2024 11:00:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact61

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [WS7O1] [2013-11-15 14:23:11] [f1e366d257cd544a6a94e0c7cf247a26] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
41 38 13 12 14 12 53 32
39 32 16 11 18 11 83 51
30 35 19 15 11 14 66 42
31 33 15 6 12 12 67 41
34 37 14 13 16 21 76 46
35 29 13 10 18 12 78 47
39 31 19 12 14 22 53 37
34 36 15 14 14 11 80 49
36 35 14 12 15 10 74 45
37 38 15 9 15 13 76 47
38 31 16 10 17 10 79 49
36 34 16 12 19 8 54 33
38 35 16 12 10 15 67 42
39 38 16 11 16 14 54 33
33 37 17 15 18 10 87 53
32 33 15 12 14 14 58 36
36 32 15 10 14 14 75 45
38 38 20 12 17 11 88 54
39 38 18 11 14 10 64 41
32 32 16 12 16 13 57 36
32 33 16 11 18 9.5 66 41
31 31 16 12 11 14 68 44
39 38 19 13 14 12 54 33
37 39 16 11 12 14 56 37
39 32 17 12 17 11 86 52
41 32 17 13 9 9 80 47
36 35 16 10 16 11 76 43
33 37 15 14 14 15 69 44
33 33 16 12 15 14 78 45
34 33 14 10 11 13 67 44
31 31 15 12 16 9 80 49
27 32 12 8 13 15 54 33
37 31 14 10 17 10 71 43
34 37 16 12 15 11 84 54
34 30 14 12 14 13 74 42
32 33 10 7 16 8 71 44
29 31 10 9 9 20 63 37
36 33 14 12 15 12 71 43
29 31 16 10 17 10 76 46
35 33 16 10 13 10 69 42
37 32 16 10 15 9 74 45
34 33 14 12 16 14 75 44
38 32 20 15 16 8 54 33
35 33 14 10 12 14 52 31
38 28 14 10 15 11 69 42
37 35 11 12 11 13 68 40
38 39 14 13 15 9 65 43
33 34 15 11 15 11 75 46
36 38 16 11 17 15 74 42
38 32 14 12 13 11 75 45
32 38 16 14 16 10 72 44
32 30 14 10 14 14 67 40
32 33 12 12 11 18 63 37
34 38 16 13 12 14 62 46
32 32 9 5 12 11 63 36
37 35 14 6 15 14.5 76 47
39 34 16 12 16 13 74 45
29 34 16 12 15 9 67 42
37 36 15 11 12 10 73 43
35 34 16 10 12 15 70 43
30 28 12 7 8 20 53 32
38 34 16 12 13 12 77 45
34 35 16 14 11 12 80 48
31 35 14 11 14 14 52 31
34 31 16 12 15 13 54 33
35 37 17 13 10 11 80 49
36 35 18 14 11 17 66 42
30 27 18 11 12 12 73 41
39 40 12 12 15 13 63 38
35 37 16 12 15 14 69 42
38 36 10 8 14 13 67 44
31 38 14 11 16 15 54 33
34 39 18 14 15 13 81 48
38 41 18 14 15 10 69 40
34 27 16 12 13 11 84 50
39 30 17 9 12 19 80 49
37 37 16 13 17 13 70 43
34 31 16 11 13 17 69 44
28 31 13 12 15 13 77 47
37 27 16 12 13 9 54 33
33 36 16 12 15 11 79 46
35 37 16 12 15 9 71 45
37 33 15 12 16 12 73 43
32 34 15 11 15 12 72 44
33 31 16 10 14 13 77 47
38 39 14 9 15 13 75 45
33 34 16 12 14 12 69 42
29 32 16 12 13 15 54 33
33 33 15 12 7 22 70 43
31 36 12 9 17 13 73 46
36 32 17 15 13 15 54 33
35 41 16 12 15 13 77 46
32 28 15 12 14 15 82 48
29 30 13 12 13 12.5 80 47
39 36 16 10 16 11 80 47
37 35 16 13 12 16 69 43
35 31 16 9 14 11 78 46
37 34 16 12 17 11 81 48
32 36 14 10 15 10 76 46
38 36 16 14 17 10 76 45
37 35 16 11 12 16 73 45
36 37 20 15 16 12 85 52
32 28 15 11 11 11 66 42
33 39 16 11 15 16 79 47
40 32 13 12 9 19 68 41
38 35 17 12 16 11 76 47
41 39 16 12 15 16 71 43
36 35 16 11 10 15 54 33
43 42 12 7 10 24 46 30
30 34 16 12 15 14 85 52
31 33 16 14 11 15 74 44
32 41 17 11 13 11 88 55
32 33 13 11 14 15 38 11
37 34 12 10 18 12 76 47
37 32 18 13 16 10 86 53
33 40 14 13 14 14 54 33
34 40 14 8 14 13 67 44
33 35 13 11 14 9 69 42
38 36 16 12 14 15 90 55
33 37 13 11 12 15 54 33
31 27 16 13 14 14 76 46
38 39 13 12 15 11 89 54
37 38 16 14 15 8 76 47
36 31 15 13 15 11 73 45
31 33 16 15 13 11 79 47
39 32 15 10 17 8 90 55
44 39 17 11 17 10 74 44
33 36 15 9 19 11 81 53
35 33 12 11 15 13 72 44
32 33 16 10 13 11 71 42
28 32 10 11 9 20 66 40
40 37 16 8 15 10 77 46
27 30 12 11 15 15 65 40
37 38 14 12 15 12 74 46
32 29 15 12 16 14 85 53
28 22 13 9 11 23 54 33
34 35 15 11 14 14 63 42
30 35 11 10 11 16 54 35
35 34 12 8 15 11 64 40
31 35 11 9 13 12 69 41
32 34 16 8 15 10 54 33
30 37 15 9 16 14 84 51
30 35 17 15 14 12 86 53
31 23 16 11 15 12 77 46
40 31 10 8 16 11 89 55
32 27 18 13 16 12 76 47
36 36 13 12 11 13 60 38
32 31 16 12 12 11 75 46
35 32 13 9 9 19 73 46
38 39 10 7 16 12 85 53
42 37 15 13 13 17 79 47
34 38 16 9 16 9 71 41
35 39 16 6 12 12 72 44
38 34 14 8 9 19 69 43
33 31 10 8 13 18 78 51
36 32 17 15 13 15 54 33
32 37 13 6 14 14 69 43
33 36 15 9 19 11 81 53
34 32 16 11 13 9 84 51
32 38 12 8 12 18 84 50
34 36 13 8 13 16 69 46
27 26 13 10 10 24 66 43
31 26 12 8 14 14 81 47
38 33 17 14 16 20 82 50
34 39 15 10 10 18 72 43
24 30 10 8 11 23 54 33
30 33 14 11 14 12 78 48
26 25 11 12 12 14 74 44
34 38 13 12 9 16 82 50
27 37 16 12 9 18 73 41
37 31 12 5 11 20 55 34
36 37 16 12 16 12 72 44
41 35 12 10 9 12 78 47
29 25 9 7 13 17 59 35
36 28 12 12 16 13 72 44
32 35 15 11 13 9 78 44
37 33 12 8 9 16 68 43
30 30 12 9 12 18 69 41
31 31 14 10 16 10 67 41
38 37 12 9 11 14 74 42
36 36 16 12 14 11 54 33
35 30 11 6 13 9 67 41
31 36 19 15 15 11 70 44
38 32 15 12 14 10 80 48
22 28 8 12 16 11 89 55
32 36 16 12 13 19 76 44
36 34 17 11 14 14 74 43
39 31 12 7 15 12 87 52
28 28 11 7 13 14 54 30
32 36 11 5 11 21 61 39
32 36 14 12 11 13 38 11
38 40 16 12 14 10 75 44
32 33 12 3 15 15 69 42
35 37 16 11 11 16 62 41
32 32 13 10 15 14 72 44
37 38 15 12 12 12 70 44
34 31 16 9 14 19 79 48
33 37 16 12 14 15 87 53
33 33 14 9 8 19 62 37
26 32 16 12 13 13 77 44
30 30 16 12 9 17 69 44
24 30 14 10 15 12 69 40
34 31 11 9 17 11 75 42
34 32 12 12 13 14 54 35
33 34 15 8 15 11 72 43
34 36 15 11 15 13 74 45
35 37 16 11 14 12 85 55
35 36 16 12 16 15 52 31
36 33 11 10 13 14 70 44
34 33 15 10 16 12 84 50
34 33 12 12 9 17 64 40
41 44 12 12 16 11 84 53
32 39 15 11 11 18 87 54
30 32 15 8 10 13 79 49
35 35 16 12 11 17 67 40
28 25 14 10 15 13 65 41
33 35 17 11 17 11 85 52
39 34 14 10 14 12 83 52
36 35 13 8 8 22 61 36
36 39 15 12 15 14 82 52
35 33 13 12 11 12 76 46
38 36 14 10 16 12 58 31
33 32 15 12 10 17 72 44
31 32 12 9 15 9 72 44
34 36 13 9 9 21 38 11
32 36 8 6 16 10 78 46
31 32 14 10 19 11 54 33
33 34 14 9 12 12 63 34
34 33 11 9 8 23 66 42
34 35 12 9 11 13 70 43
34 30 13 6 14 12 71 43
33 38 10 10 9 16 67 44
32 34 16 6 15 9 58 36
41 33 18 14 13 17 72 46
34 32 13 10 16 9 72 44
36 31 11 10 11 14 70 43
37 30 4 6 12 17 76 50
36 27 13 12 13 13 50 33
29 31 16 12 10 11 72 43
37 30 10 7 11 12 72 44
27 32 12 8 12 10 88 53
35 35 12 11 8 19 53 34
28 28 10 3 12 16 58 35
35 33 13 6 12 16 66 40
37 31 15 10 15 14 82 53
29 35 12 8 11 20 69 42
32 35 14 9 13 15 68 43
36 32 10 9 14 23 44 29
19 21 12 8 10 20 56 36
21 20 12 9 12 16 53 30
31 34 11 7 15 14 70 42
33 32 10 7 13 17 78 47
36 34 12 6 13 11 71 44
33 32 16 9 13 13 72 45
37 33 12 10 12 17 68 44
34 33 14 11 12 15 67 43
35 37 16 12 9 21 75 43
31 32 14 8 9 18 62 40
37 34 13 11 15 15 67 41
35 30 4 3 10 8 83 52
27 30 15 11 14 12 64 38
34 38 11 12 15 12 68 41
40 36 11 7 7 22 62 39
29 32 14 9 14 12 72 43

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time21 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 21 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=225491&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]21 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=225491&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=225491&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 time21 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Separate[t] = + 15.4578 + 0.412499Connected[t] + 0.128397Learning[t] + 0.121252Software[t] + 0.0268689Happiness[t] + 0.00855712Depression[t] -0.00163428Sport1[t] + 0.0162871Sport2[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Separate[t] =  +  15.4578 +  0.412499Connected[t] +  0.128397Learning[t] +  0.121252Software[t] +  0.0268689Happiness[t] +  0.00855712Depression[t] -0.00163428Sport1[t] +  0.0162871Sport2[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=225491&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Separate[t] =  +  15.4578 +  0.412499Connected[t] +  0.128397Learning[t] +  0.121252Software[t] +  0.0268689Happiness[t] +  0.00855712Depression[t] -0.00163428Sport1[t] +  0.0162871Sport2[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=225491&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=225491&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
Separate[t] = + 15.4578 + 0.412499Connected[t] + 0.128397Learning[t] + 0.121252Software[t] + 0.0268689Happiness[t] + 0.00855712Depression[t] -0.00163428Sport1[t] + 0.0162871Sport2[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)15.45783.237274.7753.02761e-061.5138e-06
Connected0.4124990.05532977.4551.38638e-126.9319e-13
Learning0.1283970.1089861.1780.2398470.119923
Software0.1212520.1120991.0820.2804270.140213
Happiness0.02686890.1019060.26370.7922510.396125
Depression0.008557120.07453350.11480.9086870.454343
Sport1-0.001634280.0661906-0.024690.9803210.490161
Sport20.01628710.09870990.1650.8690750.434537

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 15.4578 & 3.23727 & 4.775 & 3.02761e-06 & 1.5138e-06 \tabularnewline
Connected & 0.412499 & 0.0553297 & 7.455 & 1.38638e-12 & 6.9319e-13 \tabularnewline
Learning & 0.128397 & 0.108986 & 1.178 & 0.239847 & 0.119923 \tabularnewline
Software & 0.121252 & 0.112099 & 1.082 & 0.280427 & 0.140213 \tabularnewline
Happiness & 0.0268689 & 0.101906 & 0.2637 & 0.792251 & 0.396125 \tabularnewline
Depression & 0.00855712 & 0.0745335 & 0.1148 & 0.908687 & 0.454343 \tabularnewline
Sport1 & -0.00163428 & 0.0661906 & -0.02469 & 0.980321 & 0.490161 \tabularnewline
Sport2 & 0.0162871 & 0.0987099 & 0.165 & 0.869075 & 0.434537 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=225491&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]15.4578[/C][C]3.23727[/C][C]4.775[/C][C]3.02761e-06[/C][C]1.5138e-06[/C][/ROW]
[ROW][C]Connected[/C][C]0.412499[/C][C]0.0553297[/C][C]7.455[/C][C]1.38638e-12[/C][C]6.9319e-13[/C][/ROW]
[ROW][C]Learning[/C][C]0.128397[/C][C]0.108986[/C][C]1.178[/C][C]0.239847[/C][C]0.119923[/C][/ROW]
[ROW][C]Software[/C][C]0.121252[/C][C]0.112099[/C][C]1.082[/C][C]0.280427[/C][C]0.140213[/C][/ROW]
[ROW][C]Happiness[/C][C]0.0268689[/C][C]0.101906[/C][C]0.2637[/C][C]0.792251[/C][C]0.396125[/C][/ROW]
[ROW][C]Depression[/C][C]0.00855712[/C][C]0.0745335[/C][C]0.1148[/C][C]0.908687[/C][C]0.454343[/C][/ROW]
[ROW][C]Sport1[/C][C]-0.00163428[/C][C]0.0661906[/C][C]-0.02469[/C][C]0.980321[/C][C]0.490161[/C][/ROW]
[ROW][C]Sport2[/C][C]0.0162871[/C][C]0.0987099[/C][C]0.165[/C][C]0.869075[/C][C]0.434537[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=225491&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=225491&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)15.45783.237274.7753.02761e-061.5138e-06
Connected0.4124990.05532977.4551.38638e-126.9319e-13
Learning0.1283970.1089861.1780.2398470.119923
Software0.1212520.1120991.0820.2804270.140213
Happiness0.02686890.1019060.26370.7922510.396125
Depression0.008557120.07453350.11480.9086870.454343
Sport1-0.001634280.0661906-0.024690.9803210.490161
Sport20.01628710.09870990.1650.8690750.434537






Multiple Linear Regression - Regression Statistics
Multiple R0.479311
R-squared0.229739
Adjusted R-squared0.208677
F-TEST (value)10.9078
F-TEST (DF numerator)7
F-TEST (DF denominator)256
p-value4.81182e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.29498
Sum Squared Residuals2779.36

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.479311 \tabularnewline
R-squared & 0.229739 \tabularnewline
Adjusted R-squared & 0.208677 \tabularnewline
F-TEST (value) & 10.9078 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 256 \tabularnewline
p-value & 4.81182e-12 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.29498 \tabularnewline
Sum Squared Residuals & 2779.36 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=225491&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.479311[/C][/ROW]
[ROW][C]R-squared[/C][C]0.229739[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.208677[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]10.9078[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]256[/C][/ROW]
[ROW][C]p-value[/C][C]4.81182e-12[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.29498[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2779.36[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=225491&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=225491&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.479311
R-squared0.229739
Adjusted R-squared0.208677
F-TEST (value)10.9078
F-TEST (DF numerator)7
F-TEST (DF denominator)256
p-value4.81182e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.29498
Sum Squared Residuals2779.36






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
13836.40781.59219
23236.2061-4.2061
33533.08261.9174
43331.88211.11793
53734.09112.90885
62934.0012-5.00124
73136.5202-5.5202
83634.24381.75619
93534.66090.339121
103834.8933.107
113135.6109-4.61088
123434.8453-0.845276
133535.6137-0.613691
143835.93232.06774
153734.3622.63801
163333.0262-0.0262067
173234.5525-2.5525
183836.44231.55774
193836.2151.78496
203233.2014-1.20142
213333.1707-0.170682
223132.7755-1.77545
233836.48911.5109
243935.06173.93834
253236.4403-4.44026
263237.0828-5.08281
273534.67480.325246
283733.80213.19791
293333.7079-0.70787
303333.5067-0.506727
313132.8004-1.80044
323230.03291.96712
333134.8569-3.85694
343734.23152.76853
353033.7858-3.78582
363331.88941.11059
373130.70810.291917
383334.6503-1.65032
393131.8544-0.854437
403334.1682-1.16824
413235.0791-3.07911
423333.8791-0.879058
433236.467-4.46701
443333.7674-0.767434
452835.2112-7.21124
463534.53480.465248
473935.58073.4193
483433.45370.546261
493834.84413.15592
503235.4391-3.43906
513833.5244.47597
523032.7057-2.70575
533332.60280.397248
543834.20343.79655
553231.31950.68052
563534.41370.58632
573436.2077-2.20771
583431.98422.01579
593634.9691.03102
603434.1988-0.198814
612831.0429-3.04291
623435.7011-1.70114
633534.28390.716125
643532.29242.70757
653133.9556-2.95559
663734.68442.31562
673535.3336-0.333609
682732.4512-5.45122
694035.57124.42878
703734.49872.50129
713634.48121.51877
723832.3845.61597
733934.65514.34493
744136.16874.8313
752734.1126-7.11259
763035.9716-5.97156
773735.50481.4952
783133.9695-2.96947
793131.2858-0.285836
802735.1051-8.10512
813633.69692.30315
823734.50152.49848
833335.2148-2.21482
843433.02210.977874
853133.4641-2.46415
863935.14623.85384
873433.62970.370266
883231.85650.143527
893333.4135-0.413478
903632.07523.92483
913235.2361-3.23611
924134.54226.45777
932833.191-5.19099
943031.6354-1.63542
953635.97090.0291398
963535.3978-0.397757
973134.1329-3.13286
983435.4299-1.42989
993632.78143.2186
1003636.0356-0.0356434
1013535.1813-0.181291
1023735.9351.06497
1032832.8833-4.88333
1043933.63475.36533
1053236.0429-4.04293
1063535.9358-0.9358
1073937.00381.99616
1083534.54210.457896
1094236.47225.52778
1103432.57291.42706
1113333.0167-0.0167078
1124133.36967.63036
1133332.28220.717774
1143434.7011-0.701106
1153235.8458-3.84577
1164033.38926.61076
1174033.34486.65517
1183533.09761.90238
1193635.89530.10469
1203732.97324.02685
1212732.9968-5.99681
1223935.48813.51189
1233835.58492.41513
1243134.9207-3.92072
1253333.1982-0.198159
1263235.9576-3.95761
1273938.26230.737742
1283633.42292.57709
1293333.883-0.882987
1303332.9360.0639627
1313230.5821.41795
1323736.0940.905955
1333030.5464-0.546405
1343835.10682.89322
1352933.3127-4.3127
1362230.7097-8.70975
1373533.81951.1805
1383531.37193.62813
1393433.450.549957
1403531.75583.24416
1413432.61991.38009
1423732.0934.90699
1433533.03581.96423
1442332.7624-9.76243
1453135.4861-4.48606
1462733.719-6.71901
1473634.35951.64045
1483133.2103-2.21028
1493233.69-1.68995
1503934.52234.47767
1513737.4161-0.416084
1523833.6874.31301
1533933.70125.29885
1543434.8923-0.892267
1553132.5307-1.53069
1563235.2361-3.23611
1573732.13794.86207
1583633.42292.57709
1593233.9905-1.99051
1603832.3225.67797
1613633.24452.75546
1622630.5434-4.54345
1632631.8851-5.88508
1643336.2944-3.29437
1653933.62665.37342
1663028.55331.44669
1673332.09720.902794
1682530.088-5.08804
1693833.6664.33402
1703731.04895.95108
1713133.7978-2.79781
1723734.94862.05136
1733536.106-1.10601
1742530.3929-5.39295
1752834.4436-6.44361
1763532.93292.06709
1773334.1989-1.19894
1783031.4962-1.49621
1793132.329-1.32904
1803734.74322.25678
1813634.73661.2634
1823033.0197-3.01967
1833633.60292.39706
1843235.6265-3.62646
1852828.2893-0.289298
1863633.27142.7286
1873434.8996-0.899605
1883135.1452-4.1452
1892830.1383-2.13831
1903631.68714.31289
1913632.43423.56585
1924035.69794.30212
1933331.66491.33508
1943734.28232.71775
1953232.6612-0.661194
1963835.12852.87147
1973133.8198-2.81976
1983733.80513.19485
1993332.83790.162125
2003230.74341.25657
2013032.3333-2.33325
2023029.41220.587756
2033133.0987-2.09873
2043233.4294-1.42939
2053433.0460.953975
2063633.86872.1313
2073734.51912.48094
2083634.38281.61724
2093334.0039-1.00392
2103333.8309-0.830852
2113333.4127-0.412681
2124436.6167.38404
2133933.10445.89565
2143231.77760.222418
2153534.38760.612396
2162531.0936-6.09362
2173533.84571.15435
2183435.7454-1.74542
2193533.83671.16326
2203934.92444.07556
2213334.0426-1.04264
2223635.08550.914515
2233233.4643-1.46432
2243231.95630.0437391
2253632.78173.21828
2263631.54964.45039
2273232.3092-0.309156
2283432.8351.16504
2293332.97430.0256919
2303533.10751.89251
2313032.9425-2.94255
2323832.55265.44743
2333432.41121.58882
2343337.5052-4.50518
2353233.4703-1.47027
2363133.9339-2.9339
2373033.1194-3.11935
2382734.3482-7.34819
2393131.8751-0.875091
2403033.8501-3.85015
2413230.23341.7666
2423533.61441.38557
2432829.59-1.59005
2443333.2948-0.294848
2453135.1107-4.11072
2463530.9694.03101
2473532.61342.38659
2483233.6563-1.65634
2492126.7407-5.74066
2502027.6136-7.6136
2513431.59882.40116
2523232.3357-0.335734
2533433.620.379991
2543233.2916-1.29163
2553334.5469-1.54689
2563333.6557-0.655675
2573734.40392.59612
2583231.95880.0412007
2593434.8128-0.812806
2603031.821-1.82098
2613030.8481-0.848117
2623833.41254.58754
2633635.1290.870954
2643231.37060.629426

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 38 & 36.4078 & 1.59219 \tabularnewline
2 & 32 & 36.2061 & -4.2061 \tabularnewline
3 & 35 & 33.0826 & 1.9174 \tabularnewline
4 & 33 & 31.8821 & 1.11793 \tabularnewline
5 & 37 & 34.0911 & 2.90885 \tabularnewline
6 & 29 & 34.0012 & -5.00124 \tabularnewline
7 & 31 & 36.5202 & -5.5202 \tabularnewline
8 & 36 & 34.2438 & 1.75619 \tabularnewline
9 & 35 & 34.6609 & 0.339121 \tabularnewline
10 & 38 & 34.893 & 3.107 \tabularnewline
11 & 31 & 35.6109 & -4.61088 \tabularnewline
12 & 34 & 34.8453 & -0.845276 \tabularnewline
13 & 35 & 35.6137 & -0.613691 \tabularnewline
14 & 38 & 35.9323 & 2.06774 \tabularnewline
15 & 37 & 34.362 & 2.63801 \tabularnewline
16 & 33 & 33.0262 & -0.0262067 \tabularnewline
17 & 32 & 34.5525 & -2.5525 \tabularnewline
18 & 38 & 36.4423 & 1.55774 \tabularnewline
19 & 38 & 36.215 & 1.78496 \tabularnewline
20 & 32 & 33.2014 & -1.20142 \tabularnewline
21 & 33 & 33.1707 & -0.170682 \tabularnewline
22 & 31 & 32.7755 & -1.77545 \tabularnewline
23 & 38 & 36.4891 & 1.5109 \tabularnewline
24 & 39 & 35.0617 & 3.93834 \tabularnewline
25 & 32 & 36.4403 & -4.44026 \tabularnewline
26 & 32 & 37.0828 & -5.08281 \tabularnewline
27 & 35 & 34.6748 & 0.325246 \tabularnewline
28 & 37 & 33.8021 & 3.19791 \tabularnewline
29 & 33 & 33.7079 & -0.70787 \tabularnewline
30 & 33 & 33.5067 & -0.506727 \tabularnewline
31 & 31 & 32.8004 & -1.80044 \tabularnewline
32 & 32 & 30.0329 & 1.96712 \tabularnewline
33 & 31 & 34.8569 & -3.85694 \tabularnewline
34 & 37 & 34.2315 & 2.76853 \tabularnewline
35 & 30 & 33.7858 & -3.78582 \tabularnewline
36 & 33 & 31.8894 & 1.11059 \tabularnewline
37 & 31 & 30.7081 & 0.291917 \tabularnewline
38 & 33 & 34.6503 & -1.65032 \tabularnewline
39 & 31 & 31.8544 & -0.854437 \tabularnewline
40 & 33 & 34.1682 & -1.16824 \tabularnewline
41 & 32 & 35.0791 & -3.07911 \tabularnewline
42 & 33 & 33.8791 & -0.879058 \tabularnewline
43 & 32 & 36.467 & -4.46701 \tabularnewline
44 & 33 & 33.7674 & -0.767434 \tabularnewline
45 & 28 & 35.2112 & -7.21124 \tabularnewline
46 & 35 & 34.5348 & 0.465248 \tabularnewline
47 & 39 & 35.5807 & 3.4193 \tabularnewline
48 & 34 & 33.4537 & 0.546261 \tabularnewline
49 & 38 & 34.8441 & 3.15592 \tabularnewline
50 & 32 & 35.4391 & -3.43906 \tabularnewline
51 & 38 & 33.524 & 4.47597 \tabularnewline
52 & 30 & 32.7057 & -2.70575 \tabularnewline
53 & 33 & 32.6028 & 0.397248 \tabularnewline
54 & 38 & 34.2034 & 3.79655 \tabularnewline
55 & 32 & 31.3195 & 0.68052 \tabularnewline
56 & 35 & 34.4137 & 0.58632 \tabularnewline
57 & 34 & 36.2077 & -2.20771 \tabularnewline
58 & 34 & 31.9842 & 2.01579 \tabularnewline
59 & 36 & 34.969 & 1.03102 \tabularnewline
60 & 34 & 34.1988 & -0.198814 \tabularnewline
61 & 28 & 31.0429 & -3.04291 \tabularnewline
62 & 34 & 35.7011 & -1.70114 \tabularnewline
63 & 35 & 34.2839 & 0.716125 \tabularnewline
64 & 35 & 32.2924 & 2.70757 \tabularnewline
65 & 31 & 33.9556 & -2.95559 \tabularnewline
66 & 37 & 34.6844 & 2.31562 \tabularnewline
67 & 35 & 35.3336 & -0.333609 \tabularnewline
68 & 27 & 32.4512 & -5.45122 \tabularnewline
69 & 40 & 35.5712 & 4.42878 \tabularnewline
70 & 37 & 34.4987 & 2.50129 \tabularnewline
71 & 36 & 34.4812 & 1.51877 \tabularnewline
72 & 38 & 32.384 & 5.61597 \tabularnewline
73 & 39 & 34.6551 & 4.34493 \tabularnewline
74 & 41 & 36.1687 & 4.8313 \tabularnewline
75 & 27 & 34.1126 & -7.11259 \tabularnewline
76 & 30 & 35.9716 & -5.97156 \tabularnewline
77 & 37 & 35.5048 & 1.4952 \tabularnewline
78 & 31 & 33.9695 & -2.96947 \tabularnewline
79 & 31 & 31.2858 & -0.285836 \tabularnewline
80 & 27 & 35.1051 & -8.10512 \tabularnewline
81 & 36 & 33.6969 & 2.30315 \tabularnewline
82 & 37 & 34.5015 & 2.49848 \tabularnewline
83 & 33 & 35.2148 & -2.21482 \tabularnewline
84 & 34 & 33.0221 & 0.977874 \tabularnewline
85 & 31 & 33.4641 & -2.46415 \tabularnewline
86 & 39 & 35.1462 & 3.85384 \tabularnewline
87 & 34 & 33.6297 & 0.370266 \tabularnewline
88 & 32 & 31.8565 & 0.143527 \tabularnewline
89 & 33 & 33.4135 & -0.413478 \tabularnewline
90 & 36 & 32.0752 & 3.92483 \tabularnewline
91 & 32 & 35.2361 & -3.23611 \tabularnewline
92 & 41 & 34.5422 & 6.45777 \tabularnewline
93 & 28 & 33.191 & -5.19099 \tabularnewline
94 & 30 & 31.6354 & -1.63542 \tabularnewline
95 & 36 & 35.9709 & 0.0291398 \tabularnewline
96 & 35 & 35.3978 & -0.397757 \tabularnewline
97 & 31 & 34.1329 & -3.13286 \tabularnewline
98 & 34 & 35.4299 & -1.42989 \tabularnewline
99 & 36 & 32.7814 & 3.2186 \tabularnewline
100 & 36 & 36.0356 & -0.0356434 \tabularnewline
101 & 35 & 35.1813 & -0.181291 \tabularnewline
102 & 37 & 35.935 & 1.06497 \tabularnewline
103 & 28 & 32.8833 & -4.88333 \tabularnewline
104 & 39 & 33.6347 & 5.36533 \tabularnewline
105 & 32 & 36.0429 & -4.04293 \tabularnewline
106 & 35 & 35.9358 & -0.9358 \tabularnewline
107 & 39 & 37.0038 & 1.99616 \tabularnewline
108 & 35 & 34.5421 & 0.457896 \tabularnewline
109 & 42 & 36.4722 & 5.52778 \tabularnewline
110 & 34 & 32.5729 & 1.42706 \tabularnewline
111 & 33 & 33.0167 & -0.0167078 \tabularnewline
112 & 41 & 33.3696 & 7.63036 \tabularnewline
113 & 33 & 32.2822 & 0.717774 \tabularnewline
114 & 34 & 34.7011 & -0.701106 \tabularnewline
115 & 32 & 35.8458 & -3.84577 \tabularnewline
116 & 40 & 33.3892 & 6.61076 \tabularnewline
117 & 40 & 33.3448 & 6.65517 \tabularnewline
118 & 35 & 33.0976 & 1.90238 \tabularnewline
119 & 36 & 35.8953 & 0.10469 \tabularnewline
120 & 37 & 32.9732 & 4.02685 \tabularnewline
121 & 27 & 32.9968 & -5.99681 \tabularnewline
122 & 39 & 35.4881 & 3.51189 \tabularnewline
123 & 38 & 35.5849 & 2.41513 \tabularnewline
124 & 31 & 34.9207 & -3.92072 \tabularnewline
125 & 33 & 33.1982 & -0.198159 \tabularnewline
126 & 32 & 35.9576 & -3.95761 \tabularnewline
127 & 39 & 38.2623 & 0.737742 \tabularnewline
128 & 36 & 33.4229 & 2.57709 \tabularnewline
129 & 33 & 33.883 & -0.882987 \tabularnewline
130 & 33 & 32.936 & 0.0639627 \tabularnewline
131 & 32 & 30.582 & 1.41795 \tabularnewline
132 & 37 & 36.094 & 0.905955 \tabularnewline
133 & 30 & 30.5464 & -0.546405 \tabularnewline
134 & 38 & 35.1068 & 2.89322 \tabularnewline
135 & 29 & 33.3127 & -4.3127 \tabularnewline
136 & 22 & 30.7097 & -8.70975 \tabularnewline
137 & 35 & 33.8195 & 1.1805 \tabularnewline
138 & 35 & 31.3719 & 3.62813 \tabularnewline
139 & 34 & 33.45 & 0.549957 \tabularnewline
140 & 35 & 31.7558 & 3.24416 \tabularnewline
141 & 34 & 32.6199 & 1.38009 \tabularnewline
142 & 37 & 32.093 & 4.90699 \tabularnewline
143 & 35 & 33.0358 & 1.96423 \tabularnewline
144 & 23 & 32.7624 & -9.76243 \tabularnewline
145 & 31 & 35.4861 & -4.48606 \tabularnewline
146 & 27 & 33.719 & -6.71901 \tabularnewline
147 & 36 & 34.3595 & 1.64045 \tabularnewline
148 & 31 & 33.2103 & -2.21028 \tabularnewline
149 & 32 & 33.69 & -1.68995 \tabularnewline
150 & 39 & 34.5223 & 4.47767 \tabularnewline
151 & 37 & 37.4161 & -0.416084 \tabularnewline
152 & 38 & 33.687 & 4.31301 \tabularnewline
153 & 39 & 33.7012 & 5.29885 \tabularnewline
154 & 34 & 34.8923 & -0.892267 \tabularnewline
155 & 31 & 32.5307 & -1.53069 \tabularnewline
156 & 32 & 35.2361 & -3.23611 \tabularnewline
157 & 37 & 32.1379 & 4.86207 \tabularnewline
158 & 36 & 33.4229 & 2.57709 \tabularnewline
159 & 32 & 33.9905 & -1.99051 \tabularnewline
160 & 38 & 32.322 & 5.67797 \tabularnewline
161 & 36 & 33.2445 & 2.75546 \tabularnewline
162 & 26 & 30.5434 & -4.54345 \tabularnewline
163 & 26 & 31.8851 & -5.88508 \tabularnewline
164 & 33 & 36.2944 & -3.29437 \tabularnewline
165 & 39 & 33.6266 & 5.37342 \tabularnewline
166 & 30 & 28.5533 & 1.44669 \tabularnewline
167 & 33 & 32.0972 & 0.902794 \tabularnewline
168 & 25 & 30.088 & -5.08804 \tabularnewline
169 & 38 & 33.666 & 4.33402 \tabularnewline
170 & 37 & 31.0489 & 5.95108 \tabularnewline
171 & 31 & 33.7978 & -2.79781 \tabularnewline
172 & 37 & 34.9486 & 2.05136 \tabularnewline
173 & 35 & 36.106 & -1.10601 \tabularnewline
174 & 25 & 30.3929 & -5.39295 \tabularnewline
175 & 28 & 34.4436 & -6.44361 \tabularnewline
176 & 35 & 32.9329 & 2.06709 \tabularnewline
177 & 33 & 34.1989 & -1.19894 \tabularnewline
178 & 30 & 31.4962 & -1.49621 \tabularnewline
179 & 31 & 32.329 & -1.32904 \tabularnewline
180 & 37 & 34.7432 & 2.25678 \tabularnewline
181 & 36 & 34.7366 & 1.2634 \tabularnewline
182 & 30 & 33.0197 & -3.01967 \tabularnewline
183 & 36 & 33.6029 & 2.39706 \tabularnewline
184 & 32 & 35.6265 & -3.62646 \tabularnewline
185 & 28 & 28.2893 & -0.289298 \tabularnewline
186 & 36 & 33.2714 & 2.7286 \tabularnewline
187 & 34 & 34.8996 & -0.899605 \tabularnewline
188 & 31 & 35.1452 & -4.1452 \tabularnewline
189 & 28 & 30.1383 & -2.13831 \tabularnewline
190 & 36 & 31.6871 & 4.31289 \tabularnewline
191 & 36 & 32.4342 & 3.56585 \tabularnewline
192 & 40 & 35.6979 & 4.30212 \tabularnewline
193 & 33 & 31.6649 & 1.33508 \tabularnewline
194 & 37 & 34.2823 & 2.71775 \tabularnewline
195 & 32 & 32.6612 & -0.661194 \tabularnewline
196 & 38 & 35.1285 & 2.87147 \tabularnewline
197 & 31 & 33.8198 & -2.81976 \tabularnewline
198 & 37 & 33.8051 & 3.19485 \tabularnewline
199 & 33 & 32.8379 & 0.162125 \tabularnewline
200 & 32 & 30.7434 & 1.25657 \tabularnewline
201 & 30 & 32.3333 & -2.33325 \tabularnewline
202 & 30 & 29.4122 & 0.587756 \tabularnewline
203 & 31 & 33.0987 & -2.09873 \tabularnewline
204 & 32 & 33.4294 & -1.42939 \tabularnewline
205 & 34 & 33.046 & 0.953975 \tabularnewline
206 & 36 & 33.8687 & 2.1313 \tabularnewline
207 & 37 & 34.5191 & 2.48094 \tabularnewline
208 & 36 & 34.3828 & 1.61724 \tabularnewline
209 & 33 & 34.0039 & -1.00392 \tabularnewline
210 & 33 & 33.8309 & -0.830852 \tabularnewline
211 & 33 & 33.4127 & -0.412681 \tabularnewline
212 & 44 & 36.616 & 7.38404 \tabularnewline
213 & 39 & 33.1044 & 5.89565 \tabularnewline
214 & 32 & 31.7776 & 0.222418 \tabularnewline
215 & 35 & 34.3876 & 0.612396 \tabularnewline
216 & 25 & 31.0936 & -6.09362 \tabularnewline
217 & 35 & 33.8457 & 1.15435 \tabularnewline
218 & 34 & 35.7454 & -1.74542 \tabularnewline
219 & 35 & 33.8367 & 1.16326 \tabularnewline
220 & 39 & 34.9244 & 4.07556 \tabularnewline
221 & 33 & 34.0426 & -1.04264 \tabularnewline
222 & 36 & 35.0855 & 0.914515 \tabularnewline
223 & 32 & 33.4643 & -1.46432 \tabularnewline
224 & 32 & 31.9563 & 0.0437391 \tabularnewline
225 & 36 & 32.7817 & 3.21828 \tabularnewline
226 & 36 & 31.5496 & 4.45039 \tabularnewline
227 & 32 & 32.3092 & -0.309156 \tabularnewline
228 & 34 & 32.835 & 1.16504 \tabularnewline
229 & 33 & 32.9743 & 0.0256919 \tabularnewline
230 & 35 & 33.1075 & 1.89251 \tabularnewline
231 & 30 & 32.9425 & -2.94255 \tabularnewline
232 & 38 & 32.5526 & 5.44743 \tabularnewline
233 & 34 & 32.4112 & 1.58882 \tabularnewline
234 & 33 & 37.5052 & -4.50518 \tabularnewline
235 & 32 & 33.4703 & -1.47027 \tabularnewline
236 & 31 & 33.9339 & -2.9339 \tabularnewline
237 & 30 & 33.1194 & -3.11935 \tabularnewline
238 & 27 & 34.3482 & -7.34819 \tabularnewline
239 & 31 & 31.8751 & -0.875091 \tabularnewline
240 & 30 & 33.8501 & -3.85015 \tabularnewline
241 & 32 & 30.2334 & 1.7666 \tabularnewline
242 & 35 & 33.6144 & 1.38557 \tabularnewline
243 & 28 & 29.59 & -1.59005 \tabularnewline
244 & 33 & 33.2948 & -0.294848 \tabularnewline
245 & 31 & 35.1107 & -4.11072 \tabularnewline
246 & 35 & 30.969 & 4.03101 \tabularnewline
247 & 35 & 32.6134 & 2.38659 \tabularnewline
248 & 32 & 33.6563 & -1.65634 \tabularnewline
249 & 21 & 26.7407 & -5.74066 \tabularnewline
250 & 20 & 27.6136 & -7.6136 \tabularnewline
251 & 34 & 31.5988 & 2.40116 \tabularnewline
252 & 32 & 32.3357 & -0.335734 \tabularnewline
253 & 34 & 33.62 & 0.379991 \tabularnewline
254 & 32 & 33.2916 & -1.29163 \tabularnewline
255 & 33 & 34.5469 & -1.54689 \tabularnewline
256 & 33 & 33.6557 & -0.655675 \tabularnewline
257 & 37 & 34.4039 & 2.59612 \tabularnewline
258 & 32 & 31.9588 & 0.0412007 \tabularnewline
259 & 34 & 34.8128 & -0.812806 \tabularnewline
260 & 30 & 31.821 & -1.82098 \tabularnewline
261 & 30 & 30.8481 & -0.848117 \tabularnewline
262 & 38 & 33.4125 & 4.58754 \tabularnewline
263 & 36 & 35.129 & 0.870954 \tabularnewline
264 & 32 & 31.3706 & 0.629426 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=225491&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]38[/C][C]36.4078[/C][C]1.59219[/C][/ROW]
[ROW][C]2[/C][C]32[/C][C]36.2061[/C][C]-4.2061[/C][/ROW]
[ROW][C]3[/C][C]35[/C][C]33.0826[/C][C]1.9174[/C][/ROW]
[ROW][C]4[/C][C]33[/C][C]31.8821[/C][C]1.11793[/C][/ROW]
[ROW][C]5[/C][C]37[/C][C]34.0911[/C][C]2.90885[/C][/ROW]
[ROW][C]6[/C][C]29[/C][C]34.0012[/C][C]-5.00124[/C][/ROW]
[ROW][C]7[/C][C]31[/C][C]36.5202[/C][C]-5.5202[/C][/ROW]
[ROW][C]8[/C][C]36[/C][C]34.2438[/C][C]1.75619[/C][/ROW]
[ROW][C]9[/C][C]35[/C][C]34.6609[/C][C]0.339121[/C][/ROW]
[ROW][C]10[/C][C]38[/C][C]34.893[/C][C]3.107[/C][/ROW]
[ROW][C]11[/C][C]31[/C][C]35.6109[/C][C]-4.61088[/C][/ROW]
[ROW][C]12[/C][C]34[/C][C]34.8453[/C][C]-0.845276[/C][/ROW]
[ROW][C]13[/C][C]35[/C][C]35.6137[/C][C]-0.613691[/C][/ROW]
[ROW][C]14[/C][C]38[/C][C]35.9323[/C][C]2.06774[/C][/ROW]
[ROW][C]15[/C][C]37[/C][C]34.362[/C][C]2.63801[/C][/ROW]
[ROW][C]16[/C][C]33[/C][C]33.0262[/C][C]-0.0262067[/C][/ROW]
[ROW][C]17[/C][C]32[/C][C]34.5525[/C][C]-2.5525[/C][/ROW]
[ROW][C]18[/C][C]38[/C][C]36.4423[/C][C]1.55774[/C][/ROW]
[ROW][C]19[/C][C]38[/C][C]36.215[/C][C]1.78496[/C][/ROW]
[ROW][C]20[/C][C]32[/C][C]33.2014[/C][C]-1.20142[/C][/ROW]
[ROW][C]21[/C][C]33[/C][C]33.1707[/C][C]-0.170682[/C][/ROW]
[ROW][C]22[/C][C]31[/C][C]32.7755[/C][C]-1.77545[/C][/ROW]
[ROW][C]23[/C][C]38[/C][C]36.4891[/C][C]1.5109[/C][/ROW]
[ROW][C]24[/C][C]39[/C][C]35.0617[/C][C]3.93834[/C][/ROW]
[ROW][C]25[/C][C]32[/C][C]36.4403[/C][C]-4.44026[/C][/ROW]
[ROW][C]26[/C][C]32[/C][C]37.0828[/C][C]-5.08281[/C][/ROW]
[ROW][C]27[/C][C]35[/C][C]34.6748[/C][C]0.325246[/C][/ROW]
[ROW][C]28[/C][C]37[/C][C]33.8021[/C][C]3.19791[/C][/ROW]
[ROW][C]29[/C][C]33[/C][C]33.7079[/C][C]-0.70787[/C][/ROW]
[ROW][C]30[/C][C]33[/C][C]33.5067[/C][C]-0.506727[/C][/ROW]
[ROW][C]31[/C][C]31[/C][C]32.8004[/C][C]-1.80044[/C][/ROW]
[ROW][C]32[/C][C]32[/C][C]30.0329[/C][C]1.96712[/C][/ROW]
[ROW][C]33[/C][C]31[/C][C]34.8569[/C][C]-3.85694[/C][/ROW]
[ROW][C]34[/C][C]37[/C][C]34.2315[/C][C]2.76853[/C][/ROW]
[ROW][C]35[/C][C]30[/C][C]33.7858[/C][C]-3.78582[/C][/ROW]
[ROW][C]36[/C][C]33[/C][C]31.8894[/C][C]1.11059[/C][/ROW]
[ROW][C]37[/C][C]31[/C][C]30.7081[/C][C]0.291917[/C][/ROW]
[ROW][C]38[/C][C]33[/C][C]34.6503[/C][C]-1.65032[/C][/ROW]
[ROW][C]39[/C][C]31[/C][C]31.8544[/C][C]-0.854437[/C][/ROW]
[ROW][C]40[/C][C]33[/C][C]34.1682[/C][C]-1.16824[/C][/ROW]
[ROW][C]41[/C][C]32[/C][C]35.0791[/C][C]-3.07911[/C][/ROW]
[ROW][C]42[/C][C]33[/C][C]33.8791[/C][C]-0.879058[/C][/ROW]
[ROW][C]43[/C][C]32[/C][C]36.467[/C][C]-4.46701[/C][/ROW]
[ROW][C]44[/C][C]33[/C][C]33.7674[/C][C]-0.767434[/C][/ROW]
[ROW][C]45[/C][C]28[/C][C]35.2112[/C][C]-7.21124[/C][/ROW]
[ROW][C]46[/C][C]35[/C][C]34.5348[/C][C]0.465248[/C][/ROW]
[ROW][C]47[/C][C]39[/C][C]35.5807[/C][C]3.4193[/C][/ROW]
[ROW][C]48[/C][C]34[/C][C]33.4537[/C][C]0.546261[/C][/ROW]
[ROW][C]49[/C][C]38[/C][C]34.8441[/C][C]3.15592[/C][/ROW]
[ROW][C]50[/C][C]32[/C][C]35.4391[/C][C]-3.43906[/C][/ROW]
[ROW][C]51[/C][C]38[/C][C]33.524[/C][C]4.47597[/C][/ROW]
[ROW][C]52[/C][C]30[/C][C]32.7057[/C][C]-2.70575[/C][/ROW]
[ROW][C]53[/C][C]33[/C][C]32.6028[/C][C]0.397248[/C][/ROW]
[ROW][C]54[/C][C]38[/C][C]34.2034[/C][C]3.79655[/C][/ROW]
[ROW][C]55[/C][C]32[/C][C]31.3195[/C][C]0.68052[/C][/ROW]
[ROW][C]56[/C][C]35[/C][C]34.4137[/C][C]0.58632[/C][/ROW]
[ROW][C]57[/C][C]34[/C][C]36.2077[/C][C]-2.20771[/C][/ROW]
[ROW][C]58[/C][C]34[/C][C]31.9842[/C][C]2.01579[/C][/ROW]
[ROW][C]59[/C][C]36[/C][C]34.969[/C][C]1.03102[/C][/ROW]
[ROW][C]60[/C][C]34[/C][C]34.1988[/C][C]-0.198814[/C][/ROW]
[ROW][C]61[/C][C]28[/C][C]31.0429[/C][C]-3.04291[/C][/ROW]
[ROW][C]62[/C][C]34[/C][C]35.7011[/C][C]-1.70114[/C][/ROW]
[ROW][C]63[/C][C]35[/C][C]34.2839[/C][C]0.716125[/C][/ROW]
[ROW][C]64[/C][C]35[/C][C]32.2924[/C][C]2.70757[/C][/ROW]
[ROW][C]65[/C][C]31[/C][C]33.9556[/C][C]-2.95559[/C][/ROW]
[ROW][C]66[/C][C]37[/C][C]34.6844[/C][C]2.31562[/C][/ROW]
[ROW][C]67[/C][C]35[/C][C]35.3336[/C][C]-0.333609[/C][/ROW]
[ROW][C]68[/C][C]27[/C][C]32.4512[/C][C]-5.45122[/C][/ROW]
[ROW][C]69[/C][C]40[/C][C]35.5712[/C][C]4.42878[/C][/ROW]
[ROW][C]70[/C][C]37[/C][C]34.4987[/C][C]2.50129[/C][/ROW]
[ROW][C]71[/C][C]36[/C][C]34.4812[/C][C]1.51877[/C][/ROW]
[ROW][C]72[/C][C]38[/C][C]32.384[/C][C]5.61597[/C][/ROW]
[ROW][C]73[/C][C]39[/C][C]34.6551[/C][C]4.34493[/C][/ROW]
[ROW][C]74[/C][C]41[/C][C]36.1687[/C][C]4.8313[/C][/ROW]
[ROW][C]75[/C][C]27[/C][C]34.1126[/C][C]-7.11259[/C][/ROW]
[ROW][C]76[/C][C]30[/C][C]35.9716[/C][C]-5.97156[/C][/ROW]
[ROW][C]77[/C][C]37[/C][C]35.5048[/C][C]1.4952[/C][/ROW]
[ROW][C]78[/C][C]31[/C][C]33.9695[/C][C]-2.96947[/C][/ROW]
[ROW][C]79[/C][C]31[/C][C]31.2858[/C][C]-0.285836[/C][/ROW]
[ROW][C]80[/C][C]27[/C][C]35.1051[/C][C]-8.10512[/C][/ROW]
[ROW][C]81[/C][C]36[/C][C]33.6969[/C][C]2.30315[/C][/ROW]
[ROW][C]82[/C][C]37[/C][C]34.5015[/C][C]2.49848[/C][/ROW]
[ROW][C]83[/C][C]33[/C][C]35.2148[/C][C]-2.21482[/C][/ROW]
[ROW][C]84[/C][C]34[/C][C]33.0221[/C][C]0.977874[/C][/ROW]
[ROW][C]85[/C][C]31[/C][C]33.4641[/C][C]-2.46415[/C][/ROW]
[ROW][C]86[/C][C]39[/C][C]35.1462[/C][C]3.85384[/C][/ROW]
[ROW][C]87[/C][C]34[/C][C]33.6297[/C][C]0.370266[/C][/ROW]
[ROW][C]88[/C][C]32[/C][C]31.8565[/C][C]0.143527[/C][/ROW]
[ROW][C]89[/C][C]33[/C][C]33.4135[/C][C]-0.413478[/C][/ROW]
[ROW][C]90[/C][C]36[/C][C]32.0752[/C][C]3.92483[/C][/ROW]
[ROW][C]91[/C][C]32[/C][C]35.2361[/C][C]-3.23611[/C][/ROW]
[ROW][C]92[/C][C]41[/C][C]34.5422[/C][C]6.45777[/C][/ROW]
[ROW][C]93[/C][C]28[/C][C]33.191[/C][C]-5.19099[/C][/ROW]
[ROW][C]94[/C][C]30[/C][C]31.6354[/C][C]-1.63542[/C][/ROW]
[ROW][C]95[/C][C]36[/C][C]35.9709[/C][C]0.0291398[/C][/ROW]
[ROW][C]96[/C][C]35[/C][C]35.3978[/C][C]-0.397757[/C][/ROW]
[ROW][C]97[/C][C]31[/C][C]34.1329[/C][C]-3.13286[/C][/ROW]
[ROW][C]98[/C][C]34[/C][C]35.4299[/C][C]-1.42989[/C][/ROW]
[ROW][C]99[/C][C]36[/C][C]32.7814[/C][C]3.2186[/C][/ROW]
[ROW][C]100[/C][C]36[/C][C]36.0356[/C][C]-0.0356434[/C][/ROW]
[ROW][C]101[/C][C]35[/C][C]35.1813[/C][C]-0.181291[/C][/ROW]
[ROW][C]102[/C][C]37[/C][C]35.935[/C][C]1.06497[/C][/ROW]
[ROW][C]103[/C][C]28[/C][C]32.8833[/C][C]-4.88333[/C][/ROW]
[ROW][C]104[/C][C]39[/C][C]33.6347[/C][C]5.36533[/C][/ROW]
[ROW][C]105[/C][C]32[/C][C]36.0429[/C][C]-4.04293[/C][/ROW]
[ROW][C]106[/C][C]35[/C][C]35.9358[/C][C]-0.9358[/C][/ROW]
[ROW][C]107[/C][C]39[/C][C]37.0038[/C][C]1.99616[/C][/ROW]
[ROW][C]108[/C][C]35[/C][C]34.5421[/C][C]0.457896[/C][/ROW]
[ROW][C]109[/C][C]42[/C][C]36.4722[/C][C]5.52778[/C][/ROW]
[ROW][C]110[/C][C]34[/C][C]32.5729[/C][C]1.42706[/C][/ROW]
[ROW][C]111[/C][C]33[/C][C]33.0167[/C][C]-0.0167078[/C][/ROW]
[ROW][C]112[/C][C]41[/C][C]33.3696[/C][C]7.63036[/C][/ROW]
[ROW][C]113[/C][C]33[/C][C]32.2822[/C][C]0.717774[/C][/ROW]
[ROW][C]114[/C][C]34[/C][C]34.7011[/C][C]-0.701106[/C][/ROW]
[ROW][C]115[/C][C]32[/C][C]35.8458[/C][C]-3.84577[/C][/ROW]
[ROW][C]116[/C][C]40[/C][C]33.3892[/C][C]6.61076[/C][/ROW]
[ROW][C]117[/C][C]40[/C][C]33.3448[/C][C]6.65517[/C][/ROW]
[ROW][C]118[/C][C]35[/C][C]33.0976[/C][C]1.90238[/C][/ROW]
[ROW][C]119[/C][C]36[/C][C]35.8953[/C][C]0.10469[/C][/ROW]
[ROW][C]120[/C][C]37[/C][C]32.9732[/C][C]4.02685[/C][/ROW]
[ROW][C]121[/C][C]27[/C][C]32.9968[/C][C]-5.99681[/C][/ROW]
[ROW][C]122[/C][C]39[/C][C]35.4881[/C][C]3.51189[/C][/ROW]
[ROW][C]123[/C][C]38[/C][C]35.5849[/C][C]2.41513[/C][/ROW]
[ROW][C]124[/C][C]31[/C][C]34.9207[/C][C]-3.92072[/C][/ROW]
[ROW][C]125[/C][C]33[/C][C]33.1982[/C][C]-0.198159[/C][/ROW]
[ROW][C]126[/C][C]32[/C][C]35.9576[/C][C]-3.95761[/C][/ROW]
[ROW][C]127[/C][C]39[/C][C]38.2623[/C][C]0.737742[/C][/ROW]
[ROW][C]128[/C][C]36[/C][C]33.4229[/C][C]2.57709[/C][/ROW]
[ROW][C]129[/C][C]33[/C][C]33.883[/C][C]-0.882987[/C][/ROW]
[ROW][C]130[/C][C]33[/C][C]32.936[/C][C]0.0639627[/C][/ROW]
[ROW][C]131[/C][C]32[/C][C]30.582[/C][C]1.41795[/C][/ROW]
[ROW][C]132[/C][C]37[/C][C]36.094[/C][C]0.905955[/C][/ROW]
[ROW][C]133[/C][C]30[/C][C]30.5464[/C][C]-0.546405[/C][/ROW]
[ROW][C]134[/C][C]38[/C][C]35.1068[/C][C]2.89322[/C][/ROW]
[ROW][C]135[/C][C]29[/C][C]33.3127[/C][C]-4.3127[/C][/ROW]
[ROW][C]136[/C][C]22[/C][C]30.7097[/C][C]-8.70975[/C][/ROW]
[ROW][C]137[/C][C]35[/C][C]33.8195[/C][C]1.1805[/C][/ROW]
[ROW][C]138[/C][C]35[/C][C]31.3719[/C][C]3.62813[/C][/ROW]
[ROW][C]139[/C][C]34[/C][C]33.45[/C][C]0.549957[/C][/ROW]
[ROW][C]140[/C][C]35[/C][C]31.7558[/C][C]3.24416[/C][/ROW]
[ROW][C]141[/C][C]34[/C][C]32.6199[/C][C]1.38009[/C][/ROW]
[ROW][C]142[/C][C]37[/C][C]32.093[/C][C]4.90699[/C][/ROW]
[ROW][C]143[/C][C]35[/C][C]33.0358[/C][C]1.96423[/C][/ROW]
[ROW][C]144[/C][C]23[/C][C]32.7624[/C][C]-9.76243[/C][/ROW]
[ROW][C]145[/C][C]31[/C][C]35.4861[/C][C]-4.48606[/C][/ROW]
[ROW][C]146[/C][C]27[/C][C]33.719[/C][C]-6.71901[/C][/ROW]
[ROW][C]147[/C][C]36[/C][C]34.3595[/C][C]1.64045[/C][/ROW]
[ROW][C]148[/C][C]31[/C][C]33.2103[/C][C]-2.21028[/C][/ROW]
[ROW][C]149[/C][C]32[/C][C]33.69[/C][C]-1.68995[/C][/ROW]
[ROW][C]150[/C][C]39[/C][C]34.5223[/C][C]4.47767[/C][/ROW]
[ROW][C]151[/C][C]37[/C][C]37.4161[/C][C]-0.416084[/C][/ROW]
[ROW][C]152[/C][C]38[/C][C]33.687[/C][C]4.31301[/C][/ROW]
[ROW][C]153[/C][C]39[/C][C]33.7012[/C][C]5.29885[/C][/ROW]
[ROW][C]154[/C][C]34[/C][C]34.8923[/C][C]-0.892267[/C][/ROW]
[ROW][C]155[/C][C]31[/C][C]32.5307[/C][C]-1.53069[/C][/ROW]
[ROW][C]156[/C][C]32[/C][C]35.2361[/C][C]-3.23611[/C][/ROW]
[ROW][C]157[/C][C]37[/C][C]32.1379[/C][C]4.86207[/C][/ROW]
[ROW][C]158[/C][C]36[/C][C]33.4229[/C][C]2.57709[/C][/ROW]
[ROW][C]159[/C][C]32[/C][C]33.9905[/C][C]-1.99051[/C][/ROW]
[ROW][C]160[/C][C]38[/C][C]32.322[/C][C]5.67797[/C][/ROW]
[ROW][C]161[/C][C]36[/C][C]33.2445[/C][C]2.75546[/C][/ROW]
[ROW][C]162[/C][C]26[/C][C]30.5434[/C][C]-4.54345[/C][/ROW]
[ROW][C]163[/C][C]26[/C][C]31.8851[/C][C]-5.88508[/C][/ROW]
[ROW][C]164[/C][C]33[/C][C]36.2944[/C][C]-3.29437[/C][/ROW]
[ROW][C]165[/C][C]39[/C][C]33.6266[/C][C]5.37342[/C][/ROW]
[ROW][C]166[/C][C]30[/C][C]28.5533[/C][C]1.44669[/C][/ROW]
[ROW][C]167[/C][C]33[/C][C]32.0972[/C][C]0.902794[/C][/ROW]
[ROW][C]168[/C][C]25[/C][C]30.088[/C][C]-5.08804[/C][/ROW]
[ROW][C]169[/C][C]38[/C][C]33.666[/C][C]4.33402[/C][/ROW]
[ROW][C]170[/C][C]37[/C][C]31.0489[/C][C]5.95108[/C][/ROW]
[ROW][C]171[/C][C]31[/C][C]33.7978[/C][C]-2.79781[/C][/ROW]
[ROW][C]172[/C][C]37[/C][C]34.9486[/C][C]2.05136[/C][/ROW]
[ROW][C]173[/C][C]35[/C][C]36.106[/C][C]-1.10601[/C][/ROW]
[ROW][C]174[/C][C]25[/C][C]30.3929[/C][C]-5.39295[/C][/ROW]
[ROW][C]175[/C][C]28[/C][C]34.4436[/C][C]-6.44361[/C][/ROW]
[ROW][C]176[/C][C]35[/C][C]32.9329[/C][C]2.06709[/C][/ROW]
[ROW][C]177[/C][C]33[/C][C]34.1989[/C][C]-1.19894[/C][/ROW]
[ROW][C]178[/C][C]30[/C][C]31.4962[/C][C]-1.49621[/C][/ROW]
[ROW][C]179[/C][C]31[/C][C]32.329[/C][C]-1.32904[/C][/ROW]
[ROW][C]180[/C][C]37[/C][C]34.7432[/C][C]2.25678[/C][/ROW]
[ROW][C]181[/C][C]36[/C][C]34.7366[/C][C]1.2634[/C][/ROW]
[ROW][C]182[/C][C]30[/C][C]33.0197[/C][C]-3.01967[/C][/ROW]
[ROW][C]183[/C][C]36[/C][C]33.6029[/C][C]2.39706[/C][/ROW]
[ROW][C]184[/C][C]32[/C][C]35.6265[/C][C]-3.62646[/C][/ROW]
[ROW][C]185[/C][C]28[/C][C]28.2893[/C][C]-0.289298[/C][/ROW]
[ROW][C]186[/C][C]36[/C][C]33.2714[/C][C]2.7286[/C][/ROW]
[ROW][C]187[/C][C]34[/C][C]34.8996[/C][C]-0.899605[/C][/ROW]
[ROW][C]188[/C][C]31[/C][C]35.1452[/C][C]-4.1452[/C][/ROW]
[ROW][C]189[/C][C]28[/C][C]30.1383[/C][C]-2.13831[/C][/ROW]
[ROW][C]190[/C][C]36[/C][C]31.6871[/C][C]4.31289[/C][/ROW]
[ROW][C]191[/C][C]36[/C][C]32.4342[/C][C]3.56585[/C][/ROW]
[ROW][C]192[/C][C]40[/C][C]35.6979[/C][C]4.30212[/C][/ROW]
[ROW][C]193[/C][C]33[/C][C]31.6649[/C][C]1.33508[/C][/ROW]
[ROW][C]194[/C][C]37[/C][C]34.2823[/C][C]2.71775[/C][/ROW]
[ROW][C]195[/C][C]32[/C][C]32.6612[/C][C]-0.661194[/C][/ROW]
[ROW][C]196[/C][C]38[/C][C]35.1285[/C][C]2.87147[/C][/ROW]
[ROW][C]197[/C][C]31[/C][C]33.8198[/C][C]-2.81976[/C][/ROW]
[ROW][C]198[/C][C]37[/C][C]33.8051[/C][C]3.19485[/C][/ROW]
[ROW][C]199[/C][C]33[/C][C]32.8379[/C][C]0.162125[/C][/ROW]
[ROW][C]200[/C][C]32[/C][C]30.7434[/C][C]1.25657[/C][/ROW]
[ROW][C]201[/C][C]30[/C][C]32.3333[/C][C]-2.33325[/C][/ROW]
[ROW][C]202[/C][C]30[/C][C]29.4122[/C][C]0.587756[/C][/ROW]
[ROW][C]203[/C][C]31[/C][C]33.0987[/C][C]-2.09873[/C][/ROW]
[ROW][C]204[/C][C]32[/C][C]33.4294[/C][C]-1.42939[/C][/ROW]
[ROW][C]205[/C][C]34[/C][C]33.046[/C][C]0.953975[/C][/ROW]
[ROW][C]206[/C][C]36[/C][C]33.8687[/C][C]2.1313[/C][/ROW]
[ROW][C]207[/C][C]37[/C][C]34.5191[/C][C]2.48094[/C][/ROW]
[ROW][C]208[/C][C]36[/C][C]34.3828[/C][C]1.61724[/C][/ROW]
[ROW][C]209[/C][C]33[/C][C]34.0039[/C][C]-1.00392[/C][/ROW]
[ROW][C]210[/C][C]33[/C][C]33.8309[/C][C]-0.830852[/C][/ROW]
[ROW][C]211[/C][C]33[/C][C]33.4127[/C][C]-0.412681[/C][/ROW]
[ROW][C]212[/C][C]44[/C][C]36.616[/C][C]7.38404[/C][/ROW]
[ROW][C]213[/C][C]39[/C][C]33.1044[/C][C]5.89565[/C][/ROW]
[ROW][C]214[/C][C]32[/C][C]31.7776[/C][C]0.222418[/C][/ROW]
[ROW][C]215[/C][C]35[/C][C]34.3876[/C][C]0.612396[/C][/ROW]
[ROW][C]216[/C][C]25[/C][C]31.0936[/C][C]-6.09362[/C][/ROW]
[ROW][C]217[/C][C]35[/C][C]33.8457[/C][C]1.15435[/C][/ROW]
[ROW][C]218[/C][C]34[/C][C]35.7454[/C][C]-1.74542[/C][/ROW]
[ROW][C]219[/C][C]35[/C][C]33.8367[/C][C]1.16326[/C][/ROW]
[ROW][C]220[/C][C]39[/C][C]34.9244[/C][C]4.07556[/C][/ROW]
[ROW][C]221[/C][C]33[/C][C]34.0426[/C][C]-1.04264[/C][/ROW]
[ROW][C]222[/C][C]36[/C][C]35.0855[/C][C]0.914515[/C][/ROW]
[ROW][C]223[/C][C]32[/C][C]33.4643[/C][C]-1.46432[/C][/ROW]
[ROW][C]224[/C][C]32[/C][C]31.9563[/C][C]0.0437391[/C][/ROW]
[ROW][C]225[/C][C]36[/C][C]32.7817[/C][C]3.21828[/C][/ROW]
[ROW][C]226[/C][C]36[/C][C]31.5496[/C][C]4.45039[/C][/ROW]
[ROW][C]227[/C][C]32[/C][C]32.3092[/C][C]-0.309156[/C][/ROW]
[ROW][C]228[/C][C]34[/C][C]32.835[/C][C]1.16504[/C][/ROW]
[ROW][C]229[/C][C]33[/C][C]32.9743[/C][C]0.0256919[/C][/ROW]
[ROW][C]230[/C][C]35[/C][C]33.1075[/C][C]1.89251[/C][/ROW]
[ROW][C]231[/C][C]30[/C][C]32.9425[/C][C]-2.94255[/C][/ROW]
[ROW][C]232[/C][C]38[/C][C]32.5526[/C][C]5.44743[/C][/ROW]
[ROW][C]233[/C][C]34[/C][C]32.4112[/C][C]1.58882[/C][/ROW]
[ROW][C]234[/C][C]33[/C][C]37.5052[/C][C]-4.50518[/C][/ROW]
[ROW][C]235[/C][C]32[/C][C]33.4703[/C][C]-1.47027[/C][/ROW]
[ROW][C]236[/C][C]31[/C][C]33.9339[/C][C]-2.9339[/C][/ROW]
[ROW][C]237[/C][C]30[/C][C]33.1194[/C][C]-3.11935[/C][/ROW]
[ROW][C]238[/C][C]27[/C][C]34.3482[/C][C]-7.34819[/C][/ROW]
[ROW][C]239[/C][C]31[/C][C]31.8751[/C][C]-0.875091[/C][/ROW]
[ROW][C]240[/C][C]30[/C][C]33.8501[/C][C]-3.85015[/C][/ROW]
[ROW][C]241[/C][C]32[/C][C]30.2334[/C][C]1.7666[/C][/ROW]
[ROW][C]242[/C][C]35[/C][C]33.6144[/C][C]1.38557[/C][/ROW]
[ROW][C]243[/C][C]28[/C][C]29.59[/C][C]-1.59005[/C][/ROW]
[ROW][C]244[/C][C]33[/C][C]33.2948[/C][C]-0.294848[/C][/ROW]
[ROW][C]245[/C][C]31[/C][C]35.1107[/C][C]-4.11072[/C][/ROW]
[ROW][C]246[/C][C]35[/C][C]30.969[/C][C]4.03101[/C][/ROW]
[ROW][C]247[/C][C]35[/C][C]32.6134[/C][C]2.38659[/C][/ROW]
[ROW][C]248[/C][C]32[/C][C]33.6563[/C][C]-1.65634[/C][/ROW]
[ROW][C]249[/C][C]21[/C][C]26.7407[/C][C]-5.74066[/C][/ROW]
[ROW][C]250[/C][C]20[/C][C]27.6136[/C][C]-7.6136[/C][/ROW]
[ROW][C]251[/C][C]34[/C][C]31.5988[/C][C]2.40116[/C][/ROW]
[ROW][C]252[/C][C]32[/C][C]32.3357[/C][C]-0.335734[/C][/ROW]
[ROW][C]253[/C][C]34[/C][C]33.62[/C][C]0.379991[/C][/ROW]
[ROW][C]254[/C][C]32[/C][C]33.2916[/C][C]-1.29163[/C][/ROW]
[ROW][C]255[/C][C]33[/C][C]34.5469[/C][C]-1.54689[/C][/ROW]
[ROW][C]256[/C][C]33[/C][C]33.6557[/C][C]-0.655675[/C][/ROW]
[ROW][C]257[/C][C]37[/C][C]34.4039[/C][C]2.59612[/C][/ROW]
[ROW][C]258[/C][C]32[/C][C]31.9588[/C][C]0.0412007[/C][/ROW]
[ROW][C]259[/C][C]34[/C][C]34.8128[/C][C]-0.812806[/C][/ROW]
[ROW][C]260[/C][C]30[/C][C]31.821[/C][C]-1.82098[/C][/ROW]
[ROW][C]261[/C][C]30[/C][C]30.8481[/C][C]-0.848117[/C][/ROW]
[ROW][C]262[/C][C]38[/C][C]33.4125[/C][C]4.58754[/C][/ROW]
[ROW][C]263[/C][C]36[/C][C]35.129[/C][C]0.870954[/C][/ROW]
[ROW][C]264[/C][C]32[/C][C]31.3706[/C][C]0.629426[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=225491&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=225491&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
13836.40781.59219
23236.2061-4.2061
33533.08261.9174
43331.88211.11793
53734.09112.90885
62934.0012-5.00124
73136.5202-5.5202
83634.24381.75619
93534.66090.339121
103834.8933.107
113135.6109-4.61088
123434.8453-0.845276
133535.6137-0.613691
143835.93232.06774
153734.3622.63801
163333.0262-0.0262067
173234.5525-2.5525
183836.44231.55774
193836.2151.78496
203233.2014-1.20142
213333.1707-0.170682
223132.7755-1.77545
233836.48911.5109
243935.06173.93834
253236.4403-4.44026
263237.0828-5.08281
273534.67480.325246
283733.80213.19791
293333.7079-0.70787
303333.5067-0.506727
313132.8004-1.80044
323230.03291.96712
333134.8569-3.85694
343734.23152.76853
353033.7858-3.78582
363331.88941.11059
373130.70810.291917
383334.6503-1.65032
393131.8544-0.854437
403334.1682-1.16824
413235.0791-3.07911
423333.8791-0.879058
433236.467-4.46701
443333.7674-0.767434
452835.2112-7.21124
463534.53480.465248
473935.58073.4193
483433.45370.546261
493834.84413.15592
503235.4391-3.43906
513833.5244.47597
523032.7057-2.70575
533332.60280.397248
543834.20343.79655
553231.31950.68052
563534.41370.58632
573436.2077-2.20771
583431.98422.01579
593634.9691.03102
603434.1988-0.198814
612831.0429-3.04291
623435.7011-1.70114
633534.28390.716125
643532.29242.70757
653133.9556-2.95559
663734.68442.31562
673535.3336-0.333609
682732.4512-5.45122
694035.57124.42878
703734.49872.50129
713634.48121.51877
723832.3845.61597
733934.65514.34493
744136.16874.8313
752734.1126-7.11259
763035.9716-5.97156
773735.50481.4952
783133.9695-2.96947
793131.2858-0.285836
802735.1051-8.10512
813633.69692.30315
823734.50152.49848
833335.2148-2.21482
843433.02210.977874
853133.4641-2.46415
863935.14623.85384
873433.62970.370266
883231.85650.143527
893333.4135-0.413478
903632.07523.92483
913235.2361-3.23611
924134.54226.45777
932833.191-5.19099
943031.6354-1.63542
953635.97090.0291398
963535.3978-0.397757
973134.1329-3.13286
983435.4299-1.42989
993632.78143.2186
1003636.0356-0.0356434
1013535.1813-0.181291
1023735.9351.06497
1032832.8833-4.88333
1043933.63475.36533
1053236.0429-4.04293
1063535.9358-0.9358
1073937.00381.99616
1083534.54210.457896
1094236.47225.52778
1103432.57291.42706
1113333.0167-0.0167078
1124133.36967.63036
1133332.28220.717774
1143434.7011-0.701106
1153235.8458-3.84577
1164033.38926.61076
1174033.34486.65517
1183533.09761.90238
1193635.89530.10469
1203732.97324.02685
1212732.9968-5.99681
1223935.48813.51189
1233835.58492.41513
1243134.9207-3.92072
1253333.1982-0.198159
1263235.9576-3.95761
1273938.26230.737742
1283633.42292.57709
1293333.883-0.882987
1303332.9360.0639627
1313230.5821.41795
1323736.0940.905955
1333030.5464-0.546405
1343835.10682.89322
1352933.3127-4.3127
1362230.7097-8.70975
1373533.81951.1805
1383531.37193.62813
1393433.450.549957
1403531.75583.24416
1413432.61991.38009
1423732.0934.90699
1433533.03581.96423
1442332.7624-9.76243
1453135.4861-4.48606
1462733.719-6.71901
1473634.35951.64045
1483133.2103-2.21028
1493233.69-1.68995
1503934.52234.47767
1513737.4161-0.416084
1523833.6874.31301
1533933.70125.29885
1543434.8923-0.892267
1553132.5307-1.53069
1563235.2361-3.23611
1573732.13794.86207
1583633.42292.57709
1593233.9905-1.99051
1603832.3225.67797
1613633.24452.75546
1622630.5434-4.54345
1632631.8851-5.88508
1643336.2944-3.29437
1653933.62665.37342
1663028.55331.44669
1673332.09720.902794
1682530.088-5.08804
1693833.6664.33402
1703731.04895.95108
1713133.7978-2.79781
1723734.94862.05136
1733536.106-1.10601
1742530.3929-5.39295
1752834.4436-6.44361
1763532.93292.06709
1773334.1989-1.19894
1783031.4962-1.49621
1793132.329-1.32904
1803734.74322.25678
1813634.73661.2634
1823033.0197-3.01967
1833633.60292.39706
1843235.6265-3.62646
1852828.2893-0.289298
1863633.27142.7286
1873434.8996-0.899605
1883135.1452-4.1452
1892830.1383-2.13831
1903631.68714.31289
1913632.43423.56585
1924035.69794.30212
1933331.66491.33508
1943734.28232.71775
1953232.6612-0.661194
1963835.12852.87147
1973133.8198-2.81976
1983733.80513.19485
1993332.83790.162125
2003230.74341.25657
2013032.3333-2.33325
2023029.41220.587756
2033133.0987-2.09873
2043233.4294-1.42939
2053433.0460.953975
2063633.86872.1313
2073734.51912.48094
2083634.38281.61724
2093334.0039-1.00392
2103333.8309-0.830852
2113333.4127-0.412681
2124436.6167.38404
2133933.10445.89565
2143231.77760.222418
2153534.38760.612396
2162531.0936-6.09362
2173533.84571.15435
2183435.7454-1.74542
2193533.83671.16326
2203934.92444.07556
2213334.0426-1.04264
2223635.08550.914515
2233233.4643-1.46432
2243231.95630.0437391
2253632.78173.21828
2263631.54964.45039
2273232.3092-0.309156
2283432.8351.16504
2293332.97430.0256919
2303533.10751.89251
2313032.9425-2.94255
2323832.55265.44743
2333432.41121.58882
2343337.5052-4.50518
2353233.4703-1.47027
2363133.9339-2.9339
2373033.1194-3.11935
2382734.3482-7.34819
2393131.8751-0.875091
2403033.8501-3.85015
2413230.23341.7666
2423533.61441.38557
2432829.59-1.59005
2443333.2948-0.294848
2453135.1107-4.11072
2463530.9694.03101
2473532.61342.38659
2483233.6563-1.65634
2492126.7407-5.74066
2502027.6136-7.6136
2513431.59882.40116
2523232.3357-0.335734
2533433.620.379991
2543233.2916-1.29163
2553334.5469-1.54689
2563333.6557-0.655675
2573734.40392.59612
2583231.95880.0412007
2593434.8128-0.812806
2603031.821-1.82098
2613030.8481-0.848117
2623833.41254.58754
2633635.1290.870954
2643231.37060.629426






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.104040.2080790.89596
120.503880.9922410.49612
130.4986080.9972170.501392
140.3778170.7556330.622183
150.3362360.6724710.663764
160.2438320.4876650.756168
170.3579970.7159930.642003
180.2867190.5734390.713281
190.2971520.5943050.702848
200.2243590.4487170.775641
210.1725070.3450150.827493
220.1242190.2484380.875781
230.1026160.2052330.897384
240.2076390.4152790.792361
250.2459370.4918740.754063
260.4298280.8596550.570172
270.362270.724540.63773
280.3402890.6805780.659711
290.2890710.5781430.710929
300.2351020.4702040.764898
310.2061230.4122470.793877
320.1644970.3289950.835503
330.156950.3139010.84305
340.1717120.3434240.828288
350.182860.3657190.81714
360.1533920.3067840.846608
370.1210520.2421050.878948
380.0979250.195850.902075
390.0777710.1555420.922229
400.05985950.1197190.940141
410.05066640.1013330.949334
420.03775650.0755130.962244
430.04971060.09942120.950289
440.03744880.07489770.962551
450.08017330.1603470.919827
460.06468020.129360.93532
470.06361830.1272370.936382
480.04977660.09955310.950223
490.07569480.151390.924305
500.06950130.1390030.930499
510.07809820.1561960.921902
520.07328780.1465760.926712
530.057910.115820.94209
540.04931450.0986290.950685
550.04239660.08479320.957603
560.03802780.07605560.961972
570.03044940.06089880.969551
580.02387070.04774140.976129
590.02136790.04273590.978632
600.01612060.03224110.983879
610.01707910.03415810.982921
620.01304760.02609510.986952
630.009816840.01963370.990183
640.00852560.01705120.991474
650.008592170.01718430.991408
660.007650440.01530090.99235
670.005639330.01127870.994361
680.008266520.0165330.991733
690.01166710.02333410.988333
700.01124010.02248020.98876
710.008585360.01717070.991415
720.01351110.02702230.986489
730.01991270.03982530.980087
740.03535810.07071620.964642
750.07372220.1474440.926278
760.08478680.1695740.915213
770.07213930.1442790.927861
780.06967160.1393430.930328
790.06094590.1218920.939054
800.1592110.3184220.840789
810.1536620.3073230.846338
820.1426410.2852820.857359
830.128650.25730.87135
840.1100980.2201960.889902
850.09893280.1978660.901067
860.1272790.2545570.872721
870.1081090.2162190.891891
880.09161280.1832260.908387
890.0767040.1534080.923296
900.07658030.1531610.92342
910.07944460.1588890.920555
920.1415160.2830320.858484
930.1787660.3575330.821234
940.1650610.3301230.834939
950.1487510.2975030.851249
960.1279680.2559370.872032
970.1203280.2406570.879672
980.1049720.2099430.895028
990.1042930.2085860.895707
1000.08820710.1764140.911793
1010.07536140.1507230.924639
1020.06476940.1295390.935231
1030.08343110.1668620.916569
1040.1160740.2321490.883926
1050.1199870.2399750.880013
1060.103760.207520.89624
1070.097180.194360.90282
1080.08645460.1729090.913545
1090.1261740.2523480.873826
1100.1102140.2204270.889786
1110.09400480.188010.905995
1120.1886680.3773350.811332
1130.1803830.3607660.819617
1140.1617060.3234120.838294
1150.1691950.338390.830805
1160.2369310.4738610.763069
1170.3280170.6560330.671983
1180.3054490.6108980.694551
1190.2758470.5516930.724153
1200.2886140.5772270.711386
1210.3795210.7590420.620479
1220.3822550.764510.617745
1230.3669940.7339870.633006
1240.387250.7744990.61275
1250.3535480.7070960.646452
1260.3702590.7405170.629741
1270.3468140.6936290.653186
1280.3318920.6637830.668108
1290.306270.612540.69373
1300.2777520.5555040.722248
1310.2547940.5095880.745206
1320.2375270.4750550.762473
1330.221640.4432790.77836
1340.2143710.4287430.785629
1350.2426390.4852770.757361
1360.4414850.882970.558515
1370.4137520.8275040.586248
1380.4320240.8640470.567976
1390.3999920.7999840.600008
1400.4006270.8012540.599373
1410.3752380.7504760.624762
1420.4153030.8306070.584697
1430.3920540.7841070.607946
1440.6796780.6406440.320322
1450.7199170.5601660.280083
1460.8173850.365230.182615
1470.8034470.3931070.196553
1480.79190.41620.2081
1490.7739980.4520050.226002
1500.7934720.4130570.206528
1510.7716030.4567940.228397
1520.7908650.418270.209135
1530.8286820.3426350.171318
1540.8093510.3812980.190649
1550.7918060.4163880.208194
1560.7886680.4226650.211332
1570.8229220.3541560.177078
1580.8202220.3595560.179778
1590.8125870.3748260.187413
1600.8521950.2956090.147805
1610.8540740.2918510.145926
1620.8714560.2570880.128544
1630.9199830.1600340.080017
1640.9326330.1347340.0673668
1650.9478130.1043740.052187
1660.9437350.112530.0562652
1670.932870.1342590.0671295
1680.951890.09622070.0481104
1690.9545830.09083330.0454167
1700.9679860.06402880.0320144
1710.9651560.06968720.0348436
1720.9598790.08024160.0401208
1730.9546570.09068520.0453426
1740.9658040.0683930.0341965
1750.9846270.03074570.0153729
1760.9813760.03724810.0186241
1770.9770980.04580330.0229016
1780.9730540.05389250.0269462
1790.9670910.0658180.032909
1800.9611990.07760120.0388006
1810.955020.08995980.0449799
1820.951580.09683970.0484199
1830.9480490.1039030.0519515
1840.958590.08282080.0414104
1850.9489820.1020360.051018
1860.9416120.1167760.0583879
1870.9348470.1303060.0651529
1880.9608060.0783880.039194
1890.953650.09270060.0463503
1900.9693940.06121240.0306062
1910.9664960.06700750.0335037
1920.9663780.06724410.0336221
1930.9609690.07806130.0390306
1940.9647740.07045210.0352261
1950.9561050.08779050.0438952
1960.954580.09083950.0454198
1970.9624460.07510830.0375541
1980.9559790.08804220.0440211
1990.9447210.1105580.0552789
2000.9316190.1367620.0683809
2010.9212430.1575130.0787567
2020.905060.189880.0949401
2030.9147870.1704260.085213
2040.8983320.2033350.101668
2050.8777030.2445940.122297
2060.8590790.2818420.140921
2070.8468960.3062080.153104
2080.8380580.3238850.161942
2090.8101770.3796450.189823
2100.8030430.3939140.196957
2110.7686830.4626340.231317
2120.8657680.2684640.134232
2130.8951730.2096530.104827
2140.8714130.2571740.128587
2150.8440170.3119650.155983
2160.8795990.2408020.120401
2170.8529190.2941610.147081
2180.8379290.3241410.162071
2190.8059830.3880340.194017
2200.8272290.3455420.172771
2210.7964450.407110.203555
2220.7571290.4857430.242871
2230.7223130.5553740.277687
2240.6764180.6471630.323582
2250.6356550.7286890.364345
2260.660280.679440.33972
2270.6334720.7330550.366528
2280.5791130.8417740.420887
2290.5216450.9567110.478355
2300.488930.977860.51107
2310.4686640.9373280.531336
2320.7428190.5143610.257181
2330.7492470.5015070.250753
2340.8105420.3789170.189458
2350.7633430.4733130.236657
2360.7485650.5028690.251435
2370.7200050.559990.279995
2380.7802340.4395320.219766
2390.7250710.5498570.274929
2400.7928210.4143580.207179
2410.7577840.4844320.242216
2420.7130560.5738890.286944
2430.6409930.7180140.359007
2440.5631390.8737210.436861
2450.7645830.4708350.235417
2460.8495350.3009310.150465
2470.8415560.3168890.158444
2480.7661340.4677320.233866
2490.6940060.6119890.305994
2500.9292090.1415820.070791
2510.9030960.1938090.0969044
2520.8225610.3548780.177439
2530.7138790.5722430.286121

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.10404 & 0.208079 & 0.89596 \tabularnewline
12 & 0.50388 & 0.992241 & 0.49612 \tabularnewline
13 & 0.498608 & 0.997217 & 0.501392 \tabularnewline
14 & 0.377817 & 0.755633 & 0.622183 \tabularnewline
15 & 0.336236 & 0.672471 & 0.663764 \tabularnewline
16 & 0.243832 & 0.487665 & 0.756168 \tabularnewline
17 & 0.357997 & 0.715993 & 0.642003 \tabularnewline
18 & 0.286719 & 0.573439 & 0.713281 \tabularnewline
19 & 0.297152 & 0.594305 & 0.702848 \tabularnewline
20 & 0.224359 & 0.448717 & 0.775641 \tabularnewline
21 & 0.172507 & 0.345015 & 0.827493 \tabularnewline
22 & 0.124219 & 0.248438 & 0.875781 \tabularnewline
23 & 0.102616 & 0.205233 & 0.897384 \tabularnewline
24 & 0.207639 & 0.415279 & 0.792361 \tabularnewline
25 & 0.245937 & 0.491874 & 0.754063 \tabularnewline
26 & 0.429828 & 0.859655 & 0.570172 \tabularnewline
27 & 0.36227 & 0.72454 & 0.63773 \tabularnewline
28 & 0.340289 & 0.680578 & 0.659711 \tabularnewline
29 & 0.289071 & 0.578143 & 0.710929 \tabularnewline
30 & 0.235102 & 0.470204 & 0.764898 \tabularnewline
31 & 0.206123 & 0.412247 & 0.793877 \tabularnewline
32 & 0.164497 & 0.328995 & 0.835503 \tabularnewline
33 & 0.15695 & 0.313901 & 0.84305 \tabularnewline
34 & 0.171712 & 0.343424 & 0.828288 \tabularnewline
35 & 0.18286 & 0.365719 & 0.81714 \tabularnewline
36 & 0.153392 & 0.306784 & 0.846608 \tabularnewline
37 & 0.121052 & 0.242105 & 0.878948 \tabularnewline
38 & 0.097925 & 0.19585 & 0.902075 \tabularnewline
39 & 0.077771 & 0.155542 & 0.922229 \tabularnewline
40 & 0.0598595 & 0.119719 & 0.940141 \tabularnewline
41 & 0.0506664 & 0.101333 & 0.949334 \tabularnewline
42 & 0.0377565 & 0.075513 & 0.962244 \tabularnewline
43 & 0.0497106 & 0.0994212 & 0.950289 \tabularnewline
44 & 0.0374488 & 0.0748977 & 0.962551 \tabularnewline
45 & 0.0801733 & 0.160347 & 0.919827 \tabularnewline
46 & 0.0646802 & 0.12936 & 0.93532 \tabularnewline
47 & 0.0636183 & 0.127237 & 0.936382 \tabularnewline
48 & 0.0497766 & 0.0995531 & 0.950223 \tabularnewline
49 & 0.0756948 & 0.15139 & 0.924305 \tabularnewline
50 & 0.0695013 & 0.139003 & 0.930499 \tabularnewline
51 & 0.0780982 & 0.156196 & 0.921902 \tabularnewline
52 & 0.0732878 & 0.146576 & 0.926712 \tabularnewline
53 & 0.05791 & 0.11582 & 0.94209 \tabularnewline
54 & 0.0493145 & 0.098629 & 0.950685 \tabularnewline
55 & 0.0423966 & 0.0847932 & 0.957603 \tabularnewline
56 & 0.0380278 & 0.0760556 & 0.961972 \tabularnewline
57 & 0.0304494 & 0.0608988 & 0.969551 \tabularnewline
58 & 0.0238707 & 0.0477414 & 0.976129 \tabularnewline
59 & 0.0213679 & 0.0427359 & 0.978632 \tabularnewline
60 & 0.0161206 & 0.0322411 & 0.983879 \tabularnewline
61 & 0.0170791 & 0.0341581 & 0.982921 \tabularnewline
62 & 0.0130476 & 0.0260951 & 0.986952 \tabularnewline
63 & 0.00981684 & 0.0196337 & 0.990183 \tabularnewline
64 & 0.0085256 & 0.0170512 & 0.991474 \tabularnewline
65 & 0.00859217 & 0.0171843 & 0.991408 \tabularnewline
66 & 0.00765044 & 0.0153009 & 0.99235 \tabularnewline
67 & 0.00563933 & 0.0112787 & 0.994361 \tabularnewline
68 & 0.00826652 & 0.016533 & 0.991733 \tabularnewline
69 & 0.0116671 & 0.0233341 & 0.988333 \tabularnewline
70 & 0.0112401 & 0.0224802 & 0.98876 \tabularnewline
71 & 0.00858536 & 0.0171707 & 0.991415 \tabularnewline
72 & 0.0135111 & 0.0270223 & 0.986489 \tabularnewline
73 & 0.0199127 & 0.0398253 & 0.980087 \tabularnewline
74 & 0.0353581 & 0.0707162 & 0.964642 \tabularnewline
75 & 0.0737222 & 0.147444 & 0.926278 \tabularnewline
76 & 0.0847868 & 0.169574 & 0.915213 \tabularnewline
77 & 0.0721393 & 0.144279 & 0.927861 \tabularnewline
78 & 0.0696716 & 0.139343 & 0.930328 \tabularnewline
79 & 0.0609459 & 0.121892 & 0.939054 \tabularnewline
80 & 0.159211 & 0.318422 & 0.840789 \tabularnewline
81 & 0.153662 & 0.307323 & 0.846338 \tabularnewline
82 & 0.142641 & 0.285282 & 0.857359 \tabularnewline
83 & 0.12865 & 0.2573 & 0.87135 \tabularnewline
84 & 0.110098 & 0.220196 & 0.889902 \tabularnewline
85 & 0.0989328 & 0.197866 & 0.901067 \tabularnewline
86 & 0.127279 & 0.254557 & 0.872721 \tabularnewline
87 & 0.108109 & 0.216219 & 0.891891 \tabularnewline
88 & 0.0916128 & 0.183226 & 0.908387 \tabularnewline
89 & 0.076704 & 0.153408 & 0.923296 \tabularnewline
90 & 0.0765803 & 0.153161 & 0.92342 \tabularnewline
91 & 0.0794446 & 0.158889 & 0.920555 \tabularnewline
92 & 0.141516 & 0.283032 & 0.858484 \tabularnewline
93 & 0.178766 & 0.357533 & 0.821234 \tabularnewline
94 & 0.165061 & 0.330123 & 0.834939 \tabularnewline
95 & 0.148751 & 0.297503 & 0.851249 \tabularnewline
96 & 0.127968 & 0.255937 & 0.872032 \tabularnewline
97 & 0.120328 & 0.240657 & 0.879672 \tabularnewline
98 & 0.104972 & 0.209943 & 0.895028 \tabularnewline
99 & 0.104293 & 0.208586 & 0.895707 \tabularnewline
100 & 0.0882071 & 0.176414 & 0.911793 \tabularnewline
101 & 0.0753614 & 0.150723 & 0.924639 \tabularnewline
102 & 0.0647694 & 0.129539 & 0.935231 \tabularnewline
103 & 0.0834311 & 0.166862 & 0.916569 \tabularnewline
104 & 0.116074 & 0.232149 & 0.883926 \tabularnewline
105 & 0.119987 & 0.239975 & 0.880013 \tabularnewline
106 & 0.10376 & 0.20752 & 0.89624 \tabularnewline
107 & 0.09718 & 0.19436 & 0.90282 \tabularnewline
108 & 0.0864546 & 0.172909 & 0.913545 \tabularnewline
109 & 0.126174 & 0.252348 & 0.873826 \tabularnewline
110 & 0.110214 & 0.220427 & 0.889786 \tabularnewline
111 & 0.0940048 & 0.18801 & 0.905995 \tabularnewline
112 & 0.188668 & 0.377335 & 0.811332 \tabularnewline
113 & 0.180383 & 0.360766 & 0.819617 \tabularnewline
114 & 0.161706 & 0.323412 & 0.838294 \tabularnewline
115 & 0.169195 & 0.33839 & 0.830805 \tabularnewline
116 & 0.236931 & 0.473861 & 0.763069 \tabularnewline
117 & 0.328017 & 0.656033 & 0.671983 \tabularnewline
118 & 0.305449 & 0.610898 & 0.694551 \tabularnewline
119 & 0.275847 & 0.551693 & 0.724153 \tabularnewline
120 & 0.288614 & 0.577227 & 0.711386 \tabularnewline
121 & 0.379521 & 0.759042 & 0.620479 \tabularnewline
122 & 0.382255 & 0.76451 & 0.617745 \tabularnewline
123 & 0.366994 & 0.733987 & 0.633006 \tabularnewline
124 & 0.38725 & 0.774499 & 0.61275 \tabularnewline
125 & 0.353548 & 0.707096 & 0.646452 \tabularnewline
126 & 0.370259 & 0.740517 & 0.629741 \tabularnewline
127 & 0.346814 & 0.693629 & 0.653186 \tabularnewline
128 & 0.331892 & 0.663783 & 0.668108 \tabularnewline
129 & 0.30627 & 0.61254 & 0.69373 \tabularnewline
130 & 0.277752 & 0.555504 & 0.722248 \tabularnewline
131 & 0.254794 & 0.509588 & 0.745206 \tabularnewline
132 & 0.237527 & 0.475055 & 0.762473 \tabularnewline
133 & 0.22164 & 0.443279 & 0.77836 \tabularnewline
134 & 0.214371 & 0.428743 & 0.785629 \tabularnewline
135 & 0.242639 & 0.485277 & 0.757361 \tabularnewline
136 & 0.441485 & 0.88297 & 0.558515 \tabularnewline
137 & 0.413752 & 0.827504 & 0.586248 \tabularnewline
138 & 0.432024 & 0.864047 & 0.567976 \tabularnewline
139 & 0.399992 & 0.799984 & 0.600008 \tabularnewline
140 & 0.400627 & 0.801254 & 0.599373 \tabularnewline
141 & 0.375238 & 0.750476 & 0.624762 \tabularnewline
142 & 0.415303 & 0.830607 & 0.584697 \tabularnewline
143 & 0.392054 & 0.784107 & 0.607946 \tabularnewline
144 & 0.679678 & 0.640644 & 0.320322 \tabularnewline
145 & 0.719917 & 0.560166 & 0.280083 \tabularnewline
146 & 0.817385 & 0.36523 & 0.182615 \tabularnewline
147 & 0.803447 & 0.393107 & 0.196553 \tabularnewline
148 & 0.7919 & 0.4162 & 0.2081 \tabularnewline
149 & 0.773998 & 0.452005 & 0.226002 \tabularnewline
150 & 0.793472 & 0.413057 & 0.206528 \tabularnewline
151 & 0.771603 & 0.456794 & 0.228397 \tabularnewline
152 & 0.790865 & 0.41827 & 0.209135 \tabularnewline
153 & 0.828682 & 0.342635 & 0.171318 \tabularnewline
154 & 0.809351 & 0.381298 & 0.190649 \tabularnewline
155 & 0.791806 & 0.416388 & 0.208194 \tabularnewline
156 & 0.788668 & 0.422665 & 0.211332 \tabularnewline
157 & 0.822922 & 0.354156 & 0.177078 \tabularnewline
158 & 0.820222 & 0.359556 & 0.179778 \tabularnewline
159 & 0.812587 & 0.374826 & 0.187413 \tabularnewline
160 & 0.852195 & 0.295609 & 0.147805 \tabularnewline
161 & 0.854074 & 0.291851 & 0.145926 \tabularnewline
162 & 0.871456 & 0.257088 & 0.128544 \tabularnewline
163 & 0.919983 & 0.160034 & 0.080017 \tabularnewline
164 & 0.932633 & 0.134734 & 0.0673668 \tabularnewline
165 & 0.947813 & 0.104374 & 0.052187 \tabularnewline
166 & 0.943735 & 0.11253 & 0.0562652 \tabularnewline
167 & 0.93287 & 0.134259 & 0.0671295 \tabularnewline
168 & 0.95189 & 0.0962207 & 0.0481104 \tabularnewline
169 & 0.954583 & 0.0908333 & 0.0454167 \tabularnewline
170 & 0.967986 & 0.0640288 & 0.0320144 \tabularnewline
171 & 0.965156 & 0.0696872 & 0.0348436 \tabularnewline
172 & 0.959879 & 0.0802416 & 0.0401208 \tabularnewline
173 & 0.954657 & 0.0906852 & 0.0453426 \tabularnewline
174 & 0.965804 & 0.068393 & 0.0341965 \tabularnewline
175 & 0.984627 & 0.0307457 & 0.0153729 \tabularnewline
176 & 0.981376 & 0.0372481 & 0.0186241 \tabularnewline
177 & 0.977098 & 0.0458033 & 0.0229016 \tabularnewline
178 & 0.973054 & 0.0538925 & 0.0269462 \tabularnewline
179 & 0.967091 & 0.065818 & 0.032909 \tabularnewline
180 & 0.961199 & 0.0776012 & 0.0388006 \tabularnewline
181 & 0.95502 & 0.0899598 & 0.0449799 \tabularnewline
182 & 0.95158 & 0.0968397 & 0.0484199 \tabularnewline
183 & 0.948049 & 0.103903 & 0.0519515 \tabularnewline
184 & 0.95859 & 0.0828208 & 0.0414104 \tabularnewline
185 & 0.948982 & 0.102036 & 0.051018 \tabularnewline
186 & 0.941612 & 0.116776 & 0.0583879 \tabularnewline
187 & 0.934847 & 0.130306 & 0.0651529 \tabularnewline
188 & 0.960806 & 0.078388 & 0.039194 \tabularnewline
189 & 0.95365 & 0.0927006 & 0.0463503 \tabularnewline
190 & 0.969394 & 0.0612124 & 0.0306062 \tabularnewline
191 & 0.966496 & 0.0670075 & 0.0335037 \tabularnewline
192 & 0.966378 & 0.0672441 & 0.0336221 \tabularnewline
193 & 0.960969 & 0.0780613 & 0.0390306 \tabularnewline
194 & 0.964774 & 0.0704521 & 0.0352261 \tabularnewline
195 & 0.956105 & 0.0877905 & 0.0438952 \tabularnewline
196 & 0.95458 & 0.0908395 & 0.0454198 \tabularnewline
197 & 0.962446 & 0.0751083 & 0.0375541 \tabularnewline
198 & 0.955979 & 0.0880422 & 0.0440211 \tabularnewline
199 & 0.944721 & 0.110558 & 0.0552789 \tabularnewline
200 & 0.931619 & 0.136762 & 0.0683809 \tabularnewline
201 & 0.921243 & 0.157513 & 0.0787567 \tabularnewline
202 & 0.90506 & 0.18988 & 0.0949401 \tabularnewline
203 & 0.914787 & 0.170426 & 0.085213 \tabularnewline
204 & 0.898332 & 0.203335 & 0.101668 \tabularnewline
205 & 0.877703 & 0.244594 & 0.122297 \tabularnewline
206 & 0.859079 & 0.281842 & 0.140921 \tabularnewline
207 & 0.846896 & 0.306208 & 0.153104 \tabularnewline
208 & 0.838058 & 0.323885 & 0.161942 \tabularnewline
209 & 0.810177 & 0.379645 & 0.189823 \tabularnewline
210 & 0.803043 & 0.393914 & 0.196957 \tabularnewline
211 & 0.768683 & 0.462634 & 0.231317 \tabularnewline
212 & 0.865768 & 0.268464 & 0.134232 \tabularnewline
213 & 0.895173 & 0.209653 & 0.104827 \tabularnewline
214 & 0.871413 & 0.257174 & 0.128587 \tabularnewline
215 & 0.844017 & 0.311965 & 0.155983 \tabularnewline
216 & 0.879599 & 0.240802 & 0.120401 \tabularnewline
217 & 0.852919 & 0.294161 & 0.147081 \tabularnewline
218 & 0.837929 & 0.324141 & 0.162071 \tabularnewline
219 & 0.805983 & 0.388034 & 0.194017 \tabularnewline
220 & 0.827229 & 0.345542 & 0.172771 \tabularnewline
221 & 0.796445 & 0.40711 & 0.203555 \tabularnewline
222 & 0.757129 & 0.485743 & 0.242871 \tabularnewline
223 & 0.722313 & 0.555374 & 0.277687 \tabularnewline
224 & 0.676418 & 0.647163 & 0.323582 \tabularnewline
225 & 0.635655 & 0.728689 & 0.364345 \tabularnewline
226 & 0.66028 & 0.67944 & 0.33972 \tabularnewline
227 & 0.633472 & 0.733055 & 0.366528 \tabularnewline
228 & 0.579113 & 0.841774 & 0.420887 \tabularnewline
229 & 0.521645 & 0.956711 & 0.478355 \tabularnewline
230 & 0.48893 & 0.97786 & 0.51107 \tabularnewline
231 & 0.468664 & 0.937328 & 0.531336 \tabularnewline
232 & 0.742819 & 0.514361 & 0.257181 \tabularnewline
233 & 0.749247 & 0.501507 & 0.250753 \tabularnewline
234 & 0.810542 & 0.378917 & 0.189458 \tabularnewline
235 & 0.763343 & 0.473313 & 0.236657 \tabularnewline
236 & 0.748565 & 0.502869 & 0.251435 \tabularnewline
237 & 0.720005 & 0.55999 & 0.279995 \tabularnewline
238 & 0.780234 & 0.439532 & 0.219766 \tabularnewline
239 & 0.725071 & 0.549857 & 0.274929 \tabularnewline
240 & 0.792821 & 0.414358 & 0.207179 \tabularnewline
241 & 0.757784 & 0.484432 & 0.242216 \tabularnewline
242 & 0.713056 & 0.573889 & 0.286944 \tabularnewline
243 & 0.640993 & 0.718014 & 0.359007 \tabularnewline
244 & 0.563139 & 0.873721 & 0.436861 \tabularnewline
245 & 0.764583 & 0.470835 & 0.235417 \tabularnewline
246 & 0.849535 & 0.300931 & 0.150465 \tabularnewline
247 & 0.841556 & 0.316889 & 0.158444 \tabularnewline
248 & 0.766134 & 0.467732 & 0.233866 \tabularnewline
249 & 0.694006 & 0.611989 & 0.305994 \tabularnewline
250 & 0.929209 & 0.141582 & 0.070791 \tabularnewline
251 & 0.903096 & 0.193809 & 0.0969044 \tabularnewline
252 & 0.822561 & 0.354878 & 0.177439 \tabularnewline
253 & 0.713879 & 0.572243 & 0.286121 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=225491&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]11[/C][C]0.10404[/C][C]0.208079[/C][C]0.89596[/C][/ROW]
[ROW][C]12[/C][C]0.50388[/C][C]0.992241[/C][C]0.49612[/C][/ROW]
[ROW][C]13[/C][C]0.498608[/C][C]0.997217[/C][C]0.501392[/C][/ROW]
[ROW][C]14[/C][C]0.377817[/C][C]0.755633[/C][C]0.622183[/C][/ROW]
[ROW][C]15[/C][C]0.336236[/C][C]0.672471[/C][C]0.663764[/C][/ROW]
[ROW][C]16[/C][C]0.243832[/C][C]0.487665[/C][C]0.756168[/C][/ROW]
[ROW][C]17[/C][C]0.357997[/C][C]0.715993[/C][C]0.642003[/C][/ROW]
[ROW][C]18[/C][C]0.286719[/C][C]0.573439[/C][C]0.713281[/C][/ROW]
[ROW][C]19[/C][C]0.297152[/C][C]0.594305[/C][C]0.702848[/C][/ROW]
[ROW][C]20[/C][C]0.224359[/C][C]0.448717[/C][C]0.775641[/C][/ROW]
[ROW][C]21[/C][C]0.172507[/C][C]0.345015[/C][C]0.827493[/C][/ROW]
[ROW][C]22[/C][C]0.124219[/C][C]0.248438[/C][C]0.875781[/C][/ROW]
[ROW][C]23[/C][C]0.102616[/C][C]0.205233[/C][C]0.897384[/C][/ROW]
[ROW][C]24[/C][C]0.207639[/C][C]0.415279[/C][C]0.792361[/C][/ROW]
[ROW][C]25[/C][C]0.245937[/C][C]0.491874[/C][C]0.754063[/C][/ROW]
[ROW][C]26[/C][C]0.429828[/C][C]0.859655[/C][C]0.570172[/C][/ROW]
[ROW][C]27[/C][C]0.36227[/C][C]0.72454[/C][C]0.63773[/C][/ROW]
[ROW][C]28[/C][C]0.340289[/C][C]0.680578[/C][C]0.659711[/C][/ROW]
[ROW][C]29[/C][C]0.289071[/C][C]0.578143[/C][C]0.710929[/C][/ROW]
[ROW][C]30[/C][C]0.235102[/C][C]0.470204[/C][C]0.764898[/C][/ROW]
[ROW][C]31[/C][C]0.206123[/C][C]0.412247[/C][C]0.793877[/C][/ROW]
[ROW][C]32[/C][C]0.164497[/C][C]0.328995[/C][C]0.835503[/C][/ROW]
[ROW][C]33[/C][C]0.15695[/C][C]0.313901[/C][C]0.84305[/C][/ROW]
[ROW][C]34[/C][C]0.171712[/C][C]0.343424[/C][C]0.828288[/C][/ROW]
[ROW][C]35[/C][C]0.18286[/C][C]0.365719[/C][C]0.81714[/C][/ROW]
[ROW][C]36[/C][C]0.153392[/C][C]0.306784[/C][C]0.846608[/C][/ROW]
[ROW][C]37[/C][C]0.121052[/C][C]0.242105[/C][C]0.878948[/C][/ROW]
[ROW][C]38[/C][C]0.097925[/C][C]0.19585[/C][C]0.902075[/C][/ROW]
[ROW][C]39[/C][C]0.077771[/C][C]0.155542[/C][C]0.922229[/C][/ROW]
[ROW][C]40[/C][C]0.0598595[/C][C]0.119719[/C][C]0.940141[/C][/ROW]
[ROW][C]41[/C][C]0.0506664[/C][C]0.101333[/C][C]0.949334[/C][/ROW]
[ROW][C]42[/C][C]0.0377565[/C][C]0.075513[/C][C]0.962244[/C][/ROW]
[ROW][C]43[/C][C]0.0497106[/C][C]0.0994212[/C][C]0.950289[/C][/ROW]
[ROW][C]44[/C][C]0.0374488[/C][C]0.0748977[/C][C]0.962551[/C][/ROW]
[ROW][C]45[/C][C]0.0801733[/C][C]0.160347[/C][C]0.919827[/C][/ROW]
[ROW][C]46[/C][C]0.0646802[/C][C]0.12936[/C][C]0.93532[/C][/ROW]
[ROW][C]47[/C][C]0.0636183[/C][C]0.127237[/C][C]0.936382[/C][/ROW]
[ROW][C]48[/C][C]0.0497766[/C][C]0.0995531[/C][C]0.950223[/C][/ROW]
[ROW][C]49[/C][C]0.0756948[/C][C]0.15139[/C][C]0.924305[/C][/ROW]
[ROW][C]50[/C][C]0.0695013[/C][C]0.139003[/C][C]0.930499[/C][/ROW]
[ROW][C]51[/C][C]0.0780982[/C][C]0.156196[/C][C]0.921902[/C][/ROW]
[ROW][C]52[/C][C]0.0732878[/C][C]0.146576[/C][C]0.926712[/C][/ROW]
[ROW][C]53[/C][C]0.05791[/C][C]0.11582[/C][C]0.94209[/C][/ROW]
[ROW][C]54[/C][C]0.0493145[/C][C]0.098629[/C][C]0.950685[/C][/ROW]
[ROW][C]55[/C][C]0.0423966[/C][C]0.0847932[/C][C]0.957603[/C][/ROW]
[ROW][C]56[/C][C]0.0380278[/C][C]0.0760556[/C][C]0.961972[/C][/ROW]
[ROW][C]57[/C][C]0.0304494[/C][C]0.0608988[/C][C]0.969551[/C][/ROW]
[ROW][C]58[/C][C]0.0238707[/C][C]0.0477414[/C][C]0.976129[/C][/ROW]
[ROW][C]59[/C][C]0.0213679[/C][C]0.0427359[/C][C]0.978632[/C][/ROW]
[ROW][C]60[/C][C]0.0161206[/C][C]0.0322411[/C][C]0.983879[/C][/ROW]
[ROW][C]61[/C][C]0.0170791[/C][C]0.0341581[/C][C]0.982921[/C][/ROW]
[ROW][C]62[/C][C]0.0130476[/C][C]0.0260951[/C][C]0.986952[/C][/ROW]
[ROW][C]63[/C][C]0.00981684[/C][C]0.0196337[/C][C]0.990183[/C][/ROW]
[ROW][C]64[/C][C]0.0085256[/C][C]0.0170512[/C][C]0.991474[/C][/ROW]
[ROW][C]65[/C][C]0.00859217[/C][C]0.0171843[/C][C]0.991408[/C][/ROW]
[ROW][C]66[/C][C]0.00765044[/C][C]0.0153009[/C][C]0.99235[/C][/ROW]
[ROW][C]67[/C][C]0.00563933[/C][C]0.0112787[/C][C]0.994361[/C][/ROW]
[ROW][C]68[/C][C]0.00826652[/C][C]0.016533[/C][C]0.991733[/C][/ROW]
[ROW][C]69[/C][C]0.0116671[/C][C]0.0233341[/C][C]0.988333[/C][/ROW]
[ROW][C]70[/C][C]0.0112401[/C][C]0.0224802[/C][C]0.98876[/C][/ROW]
[ROW][C]71[/C][C]0.00858536[/C][C]0.0171707[/C][C]0.991415[/C][/ROW]
[ROW][C]72[/C][C]0.0135111[/C][C]0.0270223[/C][C]0.986489[/C][/ROW]
[ROW][C]73[/C][C]0.0199127[/C][C]0.0398253[/C][C]0.980087[/C][/ROW]
[ROW][C]74[/C][C]0.0353581[/C][C]0.0707162[/C][C]0.964642[/C][/ROW]
[ROW][C]75[/C][C]0.0737222[/C][C]0.147444[/C][C]0.926278[/C][/ROW]
[ROW][C]76[/C][C]0.0847868[/C][C]0.169574[/C][C]0.915213[/C][/ROW]
[ROW][C]77[/C][C]0.0721393[/C][C]0.144279[/C][C]0.927861[/C][/ROW]
[ROW][C]78[/C][C]0.0696716[/C][C]0.139343[/C][C]0.930328[/C][/ROW]
[ROW][C]79[/C][C]0.0609459[/C][C]0.121892[/C][C]0.939054[/C][/ROW]
[ROW][C]80[/C][C]0.159211[/C][C]0.318422[/C][C]0.840789[/C][/ROW]
[ROW][C]81[/C][C]0.153662[/C][C]0.307323[/C][C]0.846338[/C][/ROW]
[ROW][C]82[/C][C]0.142641[/C][C]0.285282[/C][C]0.857359[/C][/ROW]
[ROW][C]83[/C][C]0.12865[/C][C]0.2573[/C][C]0.87135[/C][/ROW]
[ROW][C]84[/C][C]0.110098[/C][C]0.220196[/C][C]0.889902[/C][/ROW]
[ROW][C]85[/C][C]0.0989328[/C][C]0.197866[/C][C]0.901067[/C][/ROW]
[ROW][C]86[/C][C]0.127279[/C][C]0.254557[/C][C]0.872721[/C][/ROW]
[ROW][C]87[/C][C]0.108109[/C][C]0.216219[/C][C]0.891891[/C][/ROW]
[ROW][C]88[/C][C]0.0916128[/C][C]0.183226[/C][C]0.908387[/C][/ROW]
[ROW][C]89[/C][C]0.076704[/C][C]0.153408[/C][C]0.923296[/C][/ROW]
[ROW][C]90[/C][C]0.0765803[/C][C]0.153161[/C][C]0.92342[/C][/ROW]
[ROW][C]91[/C][C]0.0794446[/C][C]0.158889[/C][C]0.920555[/C][/ROW]
[ROW][C]92[/C][C]0.141516[/C][C]0.283032[/C][C]0.858484[/C][/ROW]
[ROW][C]93[/C][C]0.178766[/C][C]0.357533[/C][C]0.821234[/C][/ROW]
[ROW][C]94[/C][C]0.165061[/C][C]0.330123[/C][C]0.834939[/C][/ROW]
[ROW][C]95[/C][C]0.148751[/C][C]0.297503[/C][C]0.851249[/C][/ROW]
[ROW][C]96[/C][C]0.127968[/C][C]0.255937[/C][C]0.872032[/C][/ROW]
[ROW][C]97[/C][C]0.120328[/C][C]0.240657[/C][C]0.879672[/C][/ROW]
[ROW][C]98[/C][C]0.104972[/C][C]0.209943[/C][C]0.895028[/C][/ROW]
[ROW][C]99[/C][C]0.104293[/C][C]0.208586[/C][C]0.895707[/C][/ROW]
[ROW][C]100[/C][C]0.0882071[/C][C]0.176414[/C][C]0.911793[/C][/ROW]
[ROW][C]101[/C][C]0.0753614[/C][C]0.150723[/C][C]0.924639[/C][/ROW]
[ROW][C]102[/C][C]0.0647694[/C][C]0.129539[/C][C]0.935231[/C][/ROW]
[ROW][C]103[/C][C]0.0834311[/C][C]0.166862[/C][C]0.916569[/C][/ROW]
[ROW][C]104[/C][C]0.116074[/C][C]0.232149[/C][C]0.883926[/C][/ROW]
[ROW][C]105[/C][C]0.119987[/C][C]0.239975[/C][C]0.880013[/C][/ROW]
[ROW][C]106[/C][C]0.10376[/C][C]0.20752[/C][C]0.89624[/C][/ROW]
[ROW][C]107[/C][C]0.09718[/C][C]0.19436[/C][C]0.90282[/C][/ROW]
[ROW][C]108[/C][C]0.0864546[/C][C]0.172909[/C][C]0.913545[/C][/ROW]
[ROW][C]109[/C][C]0.126174[/C][C]0.252348[/C][C]0.873826[/C][/ROW]
[ROW][C]110[/C][C]0.110214[/C][C]0.220427[/C][C]0.889786[/C][/ROW]
[ROW][C]111[/C][C]0.0940048[/C][C]0.18801[/C][C]0.905995[/C][/ROW]
[ROW][C]112[/C][C]0.188668[/C][C]0.377335[/C][C]0.811332[/C][/ROW]
[ROW][C]113[/C][C]0.180383[/C][C]0.360766[/C][C]0.819617[/C][/ROW]
[ROW][C]114[/C][C]0.161706[/C][C]0.323412[/C][C]0.838294[/C][/ROW]
[ROW][C]115[/C][C]0.169195[/C][C]0.33839[/C][C]0.830805[/C][/ROW]
[ROW][C]116[/C][C]0.236931[/C][C]0.473861[/C][C]0.763069[/C][/ROW]
[ROW][C]117[/C][C]0.328017[/C][C]0.656033[/C][C]0.671983[/C][/ROW]
[ROW][C]118[/C][C]0.305449[/C][C]0.610898[/C][C]0.694551[/C][/ROW]
[ROW][C]119[/C][C]0.275847[/C][C]0.551693[/C][C]0.724153[/C][/ROW]
[ROW][C]120[/C][C]0.288614[/C][C]0.577227[/C][C]0.711386[/C][/ROW]
[ROW][C]121[/C][C]0.379521[/C][C]0.759042[/C][C]0.620479[/C][/ROW]
[ROW][C]122[/C][C]0.382255[/C][C]0.76451[/C][C]0.617745[/C][/ROW]
[ROW][C]123[/C][C]0.366994[/C][C]0.733987[/C][C]0.633006[/C][/ROW]
[ROW][C]124[/C][C]0.38725[/C][C]0.774499[/C][C]0.61275[/C][/ROW]
[ROW][C]125[/C][C]0.353548[/C][C]0.707096[/C][C]0.646452[/C][/ROW]
[ROW][C]126[/C][C]0.370259[/C][C]0.740517[/C][C]0.629741[/C][/ROW]
[ROW][C]127[/C][C]0.346814[/C][C]0.693629[/C][C]0.653186[/C][/ROW]
[ROW][C]128[/C][C]0.331892[/C][C]0.663783[/C][C]0.668108[/C][/ROW]
[ROW][C]129[/C][C]0.30627[/C][C]0.61254[/C][C]0.69373[/C][/ROW]
[ROW][C]130[/C][C]0.277752[/C][C]0.555504[/C][C]0.722248[/C][/ROW]
[ROW][C]131[/C][C]0.254794[/C][C]0.509588[/C][C]0.745206[/C][/ROW]
[ROW][C]132[/C][C]0.237527[/C][C]0.475055[/C][C]0.762473[/C][/ROW]
[ROW][C]133[/C][C]0.22164[/C][C]0.443279[/C][C]0.77836[/C][/ROW]
[ROW][C]134[/C][C]0.214371[/C][C]0.428743[/C][C]0.785629[/C][/ROW]
[ROW][C]135[/C][C]0.242639[/C][C]0.485277[/C][C]0.757361[/C][/ROW]
[ROW][C]136[/C][C]0.441485[/C][C]0.88297[/C][C]0.558515[/C][/ROW]
[ROW][C]137[/C][C]0.413752[/C][C]0.827504[/C][C]0.586248[/C][/ROW]
[ROW][C]138[/C][C]0.432024[/C][C]0.864047[/C][C]0.567976[/C][/ROW]
[ROW][C]139[/C][C]0.399992[/C][C]0.799984[/C][C]0.600008[/C][/ROW]
[ROW][C]140[/C][C]0.400627[/C][C]0.801254[/C][C]0.599373[/C][/ROW]
[ROW][C]141[/C][C]0.375238[/C][C]0.750476[/C][C]0.624762[/C][/ROW]
[ROW][C]142[/C][C]0.415303[/C][C]0.830607[/C][C]0.584697[/C][/ROW]
[ROW][C]143[/C][C]0.392054[/C][C]0.784107[/C][C]0.607946[/C][/ROW]
[ROW][C]144[/C][C]0.679678[/C][C]0.640644[/C][C]0.320322[/C][/ROW]
[ROW][C]145[/C][C]0.719917[/C][C]0.560166[/C][C]0.280083[/C][/ROW]
[ROW][C]146[/C][C]0.817385[/C][C]0.36523[/C][C]0.182615[/C][/ROW]
[ROW][C]147[/C][C]0.803447[/C][C]0.393107[/C][C]0.196553[/C][/ROW]
[ROW][C]148[/C][C]0.7919[/C][C]0.4162[/C][C]0.2081[/C][/ROW]
[ROW][C]149[/C][C]0.773998[/C][C]0.452005[/C][C]0.226002[/C][/ROW]
[ROW][C]150[/C][C]0.793472[/C][C]0.413057[/C][C]0.206528[/C][/ROW]
[ROW][C]151[/C][C]0.771603[/C][C]0.456794[/C][C]0.228397[/C][/ROW]
[ROW][C]152[/C][C]0.790865[/C][C]0.41827[/C][C]0.209135[/C][/ROW]
[ROW][C]153[/C][C]0.828682[/C][C]0.342635[/C][C]0.171318[/C][/ROW]
[ROW][C]154[/C][C]0.809351[/C][C]0.381298[/C][C]0.190649[/C][/ROW]
[ROW][C]155[/C][C]0.791806[/C][C]0.416388[/C][C]0.208194[/C][/ROW]
[ROW][C]156[/C][C]0.788668[/C][C]0.422665[/C][C]0.211332[/C][/ROW]
[ROW][C]157[/C][C]0.822922[/C][C]0.354156[/C][C]0.177078[/C][/ROW]
[ROW][C]158[/C][C]0.820222[/C][C]0.359556[/C][C]0.179778[/C][/ROW]
[ROW][C]159[/C][C]0.812587[/C][C]0.374826[/C][C]0.187413[/C][/ROW]
[ROW][C]160[/C][C]0.852195[/C][C]0.295609[/C][C]0.147805[/C][/ROW]
[ROW][C]161[/C][C]0.854074[/C][C]0.291851[/C][C]0.145926[/C][/ROW]
[ROW][C]162[/C][C]0.871456[/C][C]0.257088[/C][C]0.128544[/C][/ROW]
[ROW][C]163[/C][C]0.919983[/C][C]0.160034[/C][C]0.080017[/C][/ROW]
[ROW][C]164[/C][C]0.932633[/C][C]0.134734[/C][C]0.0673668[/C][/ROW]
[ROW][C]165[/C][C]0.947813[/C][C]0.104374[/C][C]0.052187[/C][/ROW]
[ROW][C]166[/C][C]0.943735[/C][C]0.11253[/C][C]0.0562652[/C][/ROW]
[ROW][C]167[/C][C]0.93287[/C][C]0.134259[/C][C]0.0671295[/C][/ROW]
[ROW][C]168[/C][C]0.95189[/C][C]0.0962207[/C][C]0.0481104[/C][/ROW]
[ROW][C]169[/C][C]0.954583[/C][C]0.0908333[/C][C]0.0454167[/C][/ROW]
[ROW][C]170[/C][C]0.967986[/C][C]0.0640288[/C][C]0.0320144[/C][/ROW]
[ROW][C]171[/C][C]0.965156[/C][C]0.0696872[/C][C]0.0348436[/C][/ROW]
[ROW][C]172[/C][C]0.959879[/C][C]0.0802416[/C][C]0.0401208[/C][/ROW]
[ROW][C]173[/C][C]0.954657[/C][C]0.0906852[/C][C]0.0453426[/C][/ROW]
[ROW][C]174[/C][C]0.965804[/C][C]0.068393[/C][C]0.0341965[/C][/ROW]
[ROW][C]175[/C][C]0.984627[/C][C]0.0307457[/C][C]0.0153729[/C][/ROW]
[ROW][C]176[/C][C]0.981376[/C][C]0.0372481[/C][C]0.0186241[/C][/ROW]
[ROW][C]177[/C][C]0.977098[/C][C]0.0458033[/C][C]0.0229016[/C][/ROW]
[ROW][C]178[/C][C]0.973054[/C][C]0.0538925[/C][C]0.0269462[/C][/ROW]
[ROW][C]179[/C][C]0.967091[/C][C]0.065818[/C][C]0.032909[/C][/ROW]
[ROW][C]180[/C][C]0.961199[/C][C]0.0776012[/C][C]0.0388006[/C][/ROW]
[ROW][C]181[/C][C]0.95502[/C][C]0.0899598[/C][C]0.0449799[/C][/ROW]
[ROW][C]182[/C][C]0.95158[/C][C]0.0968397[/C][C]0.0484199[/C][/ROW]
[ROW][C]183[/C][C]0.948049[/C][C]0.103903[/C][C]0.0519515[/C][/ROW]
[ROW][C]184[/C][C]0.95859[/C][C]0.0828208[/C][C]0.0414104[/C][/ROW]
[ROW][C]185[/C][C]0.948982[/C][C]0.102036[/C][C]0.051018[/C][/ROW]
[ROW][C]186[/C][C]0.941612[/C][C]0.116776[/C][C]0.0583879[/C][/ROW]
[ROW][C]187[/C][C]0.934847[/C][C]0.130306[/C][C]0.0651529[/C][/ROW]
[ROW][C]188[/C][C]0.960806[/C][C]0.078388[/C][C]0.039194[/C][/ROW]
[ROW][C]189[/C][C]0.95365[/C][C]0.0927006[/C][C]0.0463503[/C][/ROW]
[ROW][C]190[/C][C]0.969394[/C][C]0.0612124[/C][C]0.0306062[/C][/ROW]
[ROW][C]191[/C][C]0.966496[/C][C]0.0670075[/C][C]0.0335037[/C][/ROW]
[ROW][C]192[/C][C]0.966378[/C][C]0.0672441[/C][C]0.0336221[/C][/ROW]
[ROW][C]193[/C][C]0.960969[/C][C]0.0780613[/C][C]0.0390306[/C][/ROW]
[ROW][C]194[/C][C]0.964774[/C][C]0.0704521[/C][C]0.0352261[/C][/ROW]
[ROW][C]195[/C][C]0.956105[/C][C]0.0877905[/C][C]0.0438952[/C][/ROW]
[ROW][C]196[/C][C]0.95458[/C][C]0.0908395[/C][C]0.0454198[/C][/ROW]
[ROW][C]197[/C][C]0.962446[/C][C]0.0751083[/C][C]0.0375541[/C][/ROW]
[ROW][C]198[/C][C]0.955979[/C][C]0.0880422[/C][C]0.0440211[/C][/ROW]
[ROW][C]199[/C][C]0.944721[/C][C]0.110558[/C][C]0.0552789[/C][/ROW]
[ROW][C]200[/C][C]0.931619[/C][C]0.136762[/C][C]0.0683809[/C][/ROW]
[ROW][C]201[/C][C]0.921243[/C][C]0.157513[/C][C]0.0787567[/C][/ROW]
[ROW][C]202[/C][C]0.90506[/C][C]0.18988[/C][C]0.0949401[/C][/ROW]
[ROW][C]203[/C][C]0.914787[/C][C]0.170426[/C][C]0.085213[/C][/ROW]
[ROW][C]204[/C][C]0.898332[/C][C]0.203335[/C][C]0.101668[/C][/ROW]
[ROW][C]205[/C][C]0.877703[/C][C]0.244594[/C][C]0.122297[/C][/ROW]
[ROW][C]206[/C][C]0.859079[/C][C]0.281842[/C][C]0.140921[/C][/ROW]
[ROW][C]207[/C][C]0.846896[/C][C]0.306208[/C][C]0.153104[/C][/ROW]
[ROW][C]208[/C][C]0.838058[/C][C]0.323885[/C][C]0.161942[/C][/ROW]
[ROW][C]209[/C][C]0.810177[/C][C]0.379645[/C][C]0.189823[/C][/ROW]
[ROW][C]210[/C][C]0.803043[/C][C]0.393914[/C][C]0.196957[/C][/ROW]
[ROW][C]211[/C][C]0.768683[/C][C]0.462634[/C][C]0.231317[/C][/ROW]
[ROW][C]212[/C][C]0.865768[/C][C]0.268464[/C][C]0.134232[/C][/ROW]
[ROW][C]213[/C][C]0.895173[/C][C]0.209653[/C][C]0.104827[/C][/ROW]
[ROW][C]214[/C][C]0.871413[/C][C]0.257174[/C][C]0.128587[/C][/ROW]
[ROW][C]215[/C][C]0.844017[/C][C]0.311965[/C][C]0.155983[/C][/ROW]
[ROW][C]216[/C][C]0.879599[/C][C]0.240802[/C][C]0.120401[/C][/ROW]
[ROW][C]217[/C][C]0.852919[/C][C]0.294161[/C][C]0.147081[/C][/ROW]
[ROW][C]218[/C][C]0.837929[/C][C]0.324141[/C][C]0.162071[/C][/ROW]
[ROW][C]219[/C][C]0.805983[/C][C]0.388034[/C][C]0.194017[/C][/ROW]
[ROW][C]220[/C][C]0.827229[/C][C]0.345542[/C][C]0.172771[/C][/ROW]
[ROW][C]221[/C][C]0.796445[/C][C]0.40711[/C][C]0.203555[/C][/ROW]
[ROW][C]222[/C][C]0.757129[/C][C]0.485743[/C][C]0.242871[/C][/ROW]
[ROW][C]223[/C][C]0.722313[/C][C]0.555374[/C][C]0.277687[/C][/ROW]
[ROW][C]224[/C][C]0.676418[/C][C]0.647163[/C][C]0.323582[/C][/ROW]
[ROW][C]225[/C][C]0.635655[/C][C]0.728689[/C][C]0.364345[/C][/ROW]
[ROW][C]226[/C][C]0.66028[/C][C]0.67944[/C][C]0.33972[/C][/ROW]
[ROW][C]227[/C][C]0.633472[/C][C]0.733055[/C][C]0.366528[/C][/ROW]
[ROW][C]228[/C][C]0.579113[/C][C]0.841774[/C][C]0.420887[/C][/ROW]
[ROW][C]229[/C][C]0.521645[/C][C]0.956711[/C][C]0.478355[/C][/ROW]
[ROW][C]230[/C][C]0.48893[/C][C]0.97786[/C][C]0.51107[/C][/ROW]
[ROW][C]231[/C][C]0.468664[/C][C]0.937328[/C][C]0.531336[/C][/ROW]
[ROW][C]232[/C][C]0.742819[/C][C]0.514361[/C][C]0.257181[/C][/ROW]
[ROW][C]233[/C][C]0.749247[/C][C]0.501507[/C][C]0.250753[/C][/ROW]
[ROW][C]234[/C][C]0.810542[/C][C]0.378917[/C][C]0.189458[/C][/ROW]
[ROW][C]235[/C][C]0.763343[/C][C]0.473313[/C][C]0.236657[/C][/ROW]
[ROW][C]236[/C][C]0.748565[/C][C]0.502869[/C][C]0.251435[/C][/ROW]
[ROW][C]237[/C][C]0.720005[/C][C]0.55999[/C][C]0.279995[/C][/ROW]
[ROW][C]238[/C][C]0.780234[/C][C]0.439532[/C][C]0.219766[/C][/ROW]
[ROW][C]239[/C][C]0.725071[/C][C]0.549857[/C][C]0.274929[/C][/ROW]
[ROW][C]240[/C][C]0.792821[/C][C]0.414358[/C][C]0.207179[/C][/ROW]
[ROW][C]241[/C][C]0.757784[/C][C]0.484432[/C][C]0.242216[/C][/ROW]
[ROW][C]242[/C][C]0.713056[/C][C]0.573889[/C][C]0.286944[/C][/ROW]
[ROW][C]243[/C][C]0.640993[/C][C]0.718014[/C][C]0.359007[/C][/ROW]
[ROW][C]244[/C][C]0.563139[/C][C]0.873721[/C][C]0.436861[/C][/ROW]
[ROW][C]245[/C][C]0.764583[/C][C]0.470835[/C][C]0.235417[/C][/ROW]
[ROW][C]246[/C][C]0.849535[/C][C]0.300931[/C][C]0.150465[/C][/ROW]
[ROW][C]247[/C][C]0.841556[/C][C]0.316889[/C][C]0.158444[/C][/ROW]
[ROW][C]248[/C][C]0.766134[/C][C]0.467732[/C][C]0.233866[/C][/ROW]
[ROW][C]249[/C][C]0.694006[/C][C]0.611989[/C][C]0.305994[/C][/ROW]
[ROW][C]250[/C][C]0.929209[/C][C]0.141582[/C][C]0.070791[/C][/ROW]
[ROW][C]251[/C][C]0.903096[/C][C]0.193809[/C][C]0.0969044[/C][/ROW]
[ROW][C]252[/C][C]0.822561[/C][C]0.354878[/C][C]0.177439[/C][/ROW]
[ROW][C]253[/C][C]0.713879[/C][C]0.572243[/C][C]0.286121[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=225491&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=225491&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
110.104040.2080790.89596
120.503880.9922410.49612
130.4986080.9972170.501392
140.3778170.7556330.622183
150.3362360.6724710.663764
160.2438320.4876650.756168
170.3579970.7159930.642003
180.2867190.5734390.713281
190.2971520.5943050.702848
200.2243590.4487170.775641
210.1725070.3450150.827493
220.1242190.2484380.875781
230.1026160.2052330.897384
240.2076390.4152790.792361
250.2459370.4918740.754063
260.4298280.8596550.570172
270.362270.724540.63773
280.3402890.6805780.659711
290.2890710.5781430.710929
300.2351020.4702040.764898
310.2061230.4122470.793877
320.1644970.3289950.835503
330.156950.3139010.84305
340.1717120.3434240.828288
350.182860.3657190.81714
360.1533920.3067840.846608
370.1210520.2421050.878948
380.0979250.195850.902075
390.0777710.1555420.922229
400.05985950.1197190.940141
410.05066640.1013330.949334
420.03775650.0755130.962244
430.04971060.09942120.950289
440.03744880.07489770.962551
450.08017330.1603470.919827
460.06468020.129360.93532
470.06361830.1272370.936382
480.04977660.09955310.950223
490.07569480.151390.924305
500.06950130.1390030.930499
510.07809820.1561960.921902
520.07328780.1465760.926712
530.057910.115820.94209
540.04931450.0986290.950685
550.04239660.08479320.957603
560.03802780.07605560.961972
570.03044940.06089880.969551
580.02387070.04774140.976129
590.02136790.04273590.978632
600.01612060.03224110.983879
610.01707910.03415810.982921
620.01304760.02609510.986952
630.009816840.01963370.990183
640.00852560.01705120.991474
650.008592170.01718430.991408
660.007650440.01530090.99235
670.005639330.01127870.994361
680.008266520.0165330.991733
690.01166710.02333410.988333
700.01124010.02248020.98876
710.008585360.01717070.991415
720.01351110.02702230.986489
730.01991270.03982530.980087
740.03535810.07071620.964642
750.07372220.1474440.926278
760.08478680.1695740.915213
770.07213930.1442790.927861
780.06967160.1393430.930328
790.06094590.1218920.939054
800.1592110.3184220.840789
810.1536620.3073230.846338
820.1426410.2852820.857359
830.128650.25730.87135
840.1100980.2201960.889902
850.09893280.1978660.901067
860.1272790.2545570.872721
870.1081090.2162190.891891
880.09161280.1832260.908387
890.0767040.1534080.923296
900.07658030.1531610.92342
910.07944460.1588890.920555
920.1415160.2830320.858484
930.1787660.3575330.821234
940.1650610.3301230.834939
950.1487510.2975030.851249
960.1279680.2559370.872032
970.1203280.2406570.879672
980.1049720.2099430.895028
990.1042930.2085860.895707
1000.08820710.1764140.911793
1010.07536140.1507230.924639
1020.06476940.1295390.935231
1030.08343110.1668620.916569
1040.1160740.2321490.883926
1050.1199870.2399750.880013
1060.103760.207520.89624
1070.097180.194360.90282
1080.08645460.1729090.913545
1090.1261740.2523480.873826
1100.1102140.2204270.889786
1110.09400480.188010.905995
1120.1886680.3773350.811332
1130.1803830.3607660.819617
1140.1617060.3234120.838294
1150.1691950.338390.830805
1160.2369310.4738610.763069
1170.3280170.6560330.671983
1180.3054490.6108980.694551
1190.2758470.5516930.724153
1200.2886140.5772270.711386
1210.3795210.7590420.620479
1220.3822550.764510.617745
1230.3669940.7339870.633006
1240.387250.7744990.61275
1250.3535480.7070960.646452
1260.3702590.7405170.629741
1270.3468140.6936290.653186
1280.3318920.6637830.668108
1290.306270.612540.69373
1300.2777520.5555040.722248
1310.2547940.5095880.745206
1320.2375270.4750550.762473
1330.221640.4432790.77836
1340.2143710.4287430.785629
1350.2426390.4852770.757361
1360.4414850.882970.558515
1370.4137520.8275040.586248
1380.4320240.8640470.567976
1390.3999920.7999840.600008
1400.4006270.8012540.599373
1410.3752380.7504760.624762
1420.4153030.8306070.584697
1430.3920540.7841070.607946
1440.6796780.6406440.320322
1450.7199170.5601660.280083
1460.8173850.365230.182615
1470.8034470.3931070.196553
1480.79190.41620.2081
1490.7739980.4520050.226002
1500.7934720.4130570.206528
1510.7716030.4567940.228397
1520.7908650.418270.209135
1530.8286820.3426350.171318
1540.8093510.3812980.190649
1550.7918060.4163880.208194
1560.7886680.4226650.211332
1570.8229220.3541560.177078
1580.8202220.3595560.179778
1590.8125870.3748260.187413
1600.8521950.2956090.147805
1610.8540740.2918510.145926
1620.8714560.2570880.128544
1630.9199830.1600340.080017
1640.9326330.1347340.0673668
1650.9478130.1043740.052187
1660.9437350.112530.0562652
1670.932870.1342590.0671295
1680.951890.09622070.0481104
1690.9545830.09083330.0454167
1700.9679860.06402880.0320144
1710.9651560.06968720.0348436
1720.9598790.08024160.0401208
1730.9546570.09068520.0453426
1740.9658040.0683930.0341965
1750.9846270.03074570.0153729
1760.9813760.03724810.0186241
1770.9770980.04580330.0229016
1780.9730540.05389250.0269462
1790.9670910.0658180.032909
1800.9611990.07760120.0388006
1810.955020.08995980.0449799
1820.951580.09683970.0484199
1830.9480490.1039030.0519515
1840.958590.08282080.0414104
1850.9489820.1020360.051018
1860.9416120.1167760.0583879
1870.9348470.1303060.0651529
1880.9608060.0783880.039194
1890.953650.09270060.0463503
1900.9693940.06121240.0306062
1910.9664960.06700750.0335037
1920.9663780.06724410.0336221
1930.9609690.07806130.0390306
1940.9647740.07045210.0352261
1950.9561050.08779050.0438952
1960.954580.09083950.0454198
1970.9624460.07510830.0375541
1980.9559790.08804220.0440211
1990.9447210.1105580.0552789
2000.9316190.1367620.0683809
2010.9212430.1575130.0787567
2020.905060.189880.0949401
2030.9147870.1704260.085213
2040.8983320.2033350.101668
2050.8777030.2445940.122297
2060.8590790.2818420.140921
2070.8468960.3062080.153104
2080.8380580.3238850.161942
2090.8101770.3796450.189823
2100.8030430.3939140.196957
2110.7686830.4626340.231317
2120.8657680.2684640.134232
2130.8951730.2096530.104827
2140.8714130.2571740.128587
2150.8440170.3119650.155983
2160.8795990.2408020.120401
2170.8529190.2941610.147081
2180.8379290.3241410.162071
2190.8059830.3880340.194017
2200.8272290.3455420.172771
2210.7964450.407110.203555
2220.7571290.4857430.242871
2230.7223130.5553740.277687
2240.6764180.6471630.323582
2250.6356550.7286890.364345
2260.660280.679440.33972
2270.6334720.7330550.366528
2280.5791130.8417740.420887
2290.5216450.9567110.478355
2300.488930.977860.51107
2310.4686640.9373280.531336
2320.7428190.5143610.257181
2330.7492470.5015070.250753
2340.8105420.3789170.189458
2350.7633430.4733130.236657
2360.7485650.5028690.251435
2370.7200050.559990.279995
2380.7802340.4395320.219766
2390.7250710.5498570.274929
2400.7928210.4143580.207179
2410.7577840.4844320.242216
2420.7130560.5738890.286944
2430.6409930.7180140.359007
2440.5631390.8737210.436861
2450.7645830.4708350.235417
2460.8495350.3009310.150465
2470.8415560.3168890.158444
2480.7661340.4677320.233866
2490.6940060.6119890.305994
2500.9292090.1415820.070791
2510.9030960.1938090.0969044
2520.8225610.3548780.177439
2530.7138790.5722430.286121






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level190.0781893NOK
10% type I error level520.213992NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 19 & 0.0781893 & NOK \tabularnewline
10% type I error level & 52 & 0.213992 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=225491&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]19[/C][C]0.0781893[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]52[/C][C]0.213992[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=225491&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=225491&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level190.0781893NOK
10% type I error level520.213992NOK


Figures (Output of Computation)

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

Parameters (Session):
par1 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 2 ; 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 <- '2'
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}