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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 computationSat, 08 Nov 2014 15:37:05 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Nov/08/t1415461222fnwxeyhb2z53uu1.htm/, Retrieved Sun, 19 May 2024 16:32:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=253143, Retrieved Sun, 19 May 2024 16:32:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
41 38 13 12 12 53 32
39 32 16 11 11 83 51
30 35 19 15 14 66 42
31 33 15 6 12 67 41
34 37 14 13 21 76 46
35 29 13 10 12 78 47
39 31 19 12 22 53 37
34 36 15 14 11 80 49
36 35 14 12 10 74 45
37 38 15 9 13 76 47
38 31 16 10 10 79 49
36 34 16 12 8 54 33
38 35 16 12 15 67 42
39 38 16 11 14 54 33
33 37 17 15 10 87 53
32 33 15 12 14 58 36
36 32 15 10 14 75 45
38 38 20 12 11 88 54
39 38 18 11 10 64 41
32 32 16 12 13 57 36
32 33 16 11 9.5 66 41
31 31 16 12 14 68 44
39 38 19 13 12 54 33
37 39 16 11 14 56 37
39 32 17 12 11 86 52
41 32 17 13 9 80 47
36 35 16 10 11 76 43
33 37 15 14 15 69 44
33 33 16 12 14 78 45
34 33 14 10 13 67 44
31 31 15 12 9 80 49
27 32 12 8 15 54 33
37 31 14 10 10 71 43
34 37 16 12 11 84 54
34 30 14 12 13 74 42
32 33 10 7 8 71 44
29 31 10 9 20 63 37
36 33 14 12 12 71 43
29 31 16 10 10 76 46
35 33 16 10 10 69 42
37 32 16 10 9 74 45
34 33 14 12 14 75 44
38 32 20 15 8 54 33
35 33 14 10 14 52 31
38 28 14 10 11 69 42
37 35 11 12 13 68 40
38 39 14 13 9 65 43
33 34 15 11 11 75 46
36 38 16 11 15 74 42
38 32 14 12 11 75 45
32 38 16 14 10 72 44
32 30 14 10 14 67 40
32 33 12 12 18 63 37
34 38 16 13 14 62 46
32 32 9 5 11 63 36
37 35 14 6 14.5 76 47
39 34 16 12 13 74 45
29 34 16 12 9 67 42
37 36 15 11 10 73 43
35 34 16 10 15 70 43
30 28 12 7 20 53 32
38 34 16 12 12 77 45
34 35 16 14 12 80 48
31 35 14 11 14 52 31
34 31 16 12 13 54 33
35 37 17 13 11 80 49
36 35 18 14 17 66 42
30 27 18 11 12 73 41
39 40 12 12 13 63 38
35 37 16 12 14 69 42
38 36 10 8 13 67 44
31 38 14 11 15 54 33
34 39 18 14 13 81 48
38 41 18 14 10 69 40
34 27 16 12 11 84 50
39 30 17 9 19 80 49
37 37 16 13 13 70 43
34 31 16 11 17 69 44
28 31 13 12 13 77 47
37 27 16 12 9 54 33
33 36 16 12 11 79 46
35 37 16 12 9 71 45
37 33 15 12 12 73 43
32 34 15 11 12 72 44
33 31 16 10 13 77 47
38 39 14 9 13 75 45
33 34 16 12 12 69 42
29 32 16 12 15 54 33
33 33 15 12 22 70 43
31 36 12 9 13 73 46
36 32 17 15 15 54 33
35 41 16 12 13 77 46
32 28 15 12 15 82 48
29 30 13 12 12.5 80 47
39 36 16 10 11 80 47
37 35 16 13 16 69 43
35 31 16 9 11 78 46
37 34 16 12 11 81 48
32 36 14 10 10 76 46
38 36 16 14 10 76 45
37 35 16 11 16 73 45
36 37 20 15 12 85 52
32 28 15 11 11 66 42
33 39 16 11 16 79 47
40 32 13 12 19 68 41
38 35 17 12 11 76 47
41 39 16 12 16 71 43
36 35 16 11 15 54 33
43 42 12 7 24 46 30
30 34 16 12 14 85 52
31 33 16 14 15 74 44
32 41 17 11 11 88 55
32 33 13 11 15 38 11
37 34 12 10 12 76 47
37 32 18 13 10 86 53
33 40 14 13 14 54 33
34 40 14 8 13 67 44
33 35 13 11 9 69 42
38 36 16 12 15 90 55
33 37 13 11 15 54 33
31 27 16 13 14 76 46
38 39 13 12 11 89 54
37 38 16 14 8 76 47
36 31 15 13 11 73 45
31 33 16 15 11 79 47
39 32 15 10 8 90 55
44 39 17 11 10 74 44
33 36 15 9 11 81 53
35 33 12 11 13 72 44
32 33 16 10 11 71 42
28 32 10 11 20 66 40
40 37 16 8 10 77 46
27 30 12 11 15 65 40
37 38 14 12 12 74 46
32 29 15 12 14 85 53
28 22 13 9 23 54 33
34 35 15 11 14 63 42
30 35 11 10 16 54 35
35 34 12 8 11 64 40
31 35 11 9 12 69 41
32 34 16 8 10 54 33
30 37 15 9 14 84 51
30 35 17 15 12 86 53
31 23 16 11 12 77 46
40 31 10 8 11 89 55
32 27 18 13 12 76 47
36 36 13 12 13 60 38
32 31 16 12 11 75 46
35 32 13 9 19 73 46
38 39 10 7 12 85 53
42 37 15 13 17 79 47
34 38 16 9 9 71 41
35 39 16 6 12 72 44
38 34 14 8 19 69 43
33 31 10 8 18 78 51
36 32 17 15 15 54 33
32 37 13 6 14 69 43
33 36 15 9 11 81 53
34 32 16 11 9 84 51
32 38 12 8 18 84 50
34 36 13 8 16 69 46
27 26 13 10 24 66 43
31 26 12 8 14 81 47
38 33 17 14 20 82 50
34 39 15 10 18 72 43
24 30 10 8 23 54 33
30 33 14 11 12 78 48
26 25 11 12 14 74 44
34 38 13 12 16 82 50
27 37 16 12 18 73 41
37 31 12 5 20 55 34
36 37 16 12 12 72 44
41 35 12 10 12 78 47
29 25 9 7 17 59 35
36 28 12 12 13 72 44
32 35 15 11 9 78 44
37 33 12 8 16 68 43
30 30 12 9 18 69 41
31 31 14 10 10 67 41
38 37 12 9 14 74 42
36 36 16 12 11 54 33
35 30 11 6 9 67 41
31 36 19 15 11 70 44
38 32 15 12 10 80 48
22 28 8 12 11 89 55
32 36 16 12 19 76 44
36 34 17 11 14 74 43
39 31 12 7 12 87 52
28 28 11 7 14 54 30
32 36 11 5 21 61 39
32 36 14 12 13 38 11
38 40 16 12 10 75 44
32 33 12 3 15 69 42
35 37 16 11 16 62 41
32 32 13 10 14 72 44
37 38 15 12 12 70 44
34 31 16 9 19 79 48
33 37 16 12 15 87 53
33 33 14 9 19 62 37
26 32 16 12 13 77 44
30 30 16 12 17 69 44
24 30 14 10 12 69 40
34 31 11 9 11 75 42
34 32 12 12 14 54 35
33 34 15 8 11 72 43
34 36 15 11 13 74 45
35 37 16 11 12 85 55
35 36 16 12 15 52 31
36 33 11 10 14 70 44
34 33 15 10 12 84 50
34 33 12 12 17 64 40
41 44 12 12 11 84 53
32 39 15 11 18 87 54
30 32 15 8 13 79 49
35 35 16 12 17 67 40
28 25 14 10 13 65 41
33 35 17 11 11 85 52
39 34 14 10 12 83 52
36 35 13 8 22 61 36
36 39 15 12 14 82 52
35 33 13 12 12 76 46
38 36 14 10 12 58 31
33 32 15 12 17 72 44
31 32 12 9 9 72 44
34 36 13 9 21 38 11
32 36 8 6 10 78 46
31 32 14 10 11 54 33
33 34 14 9 12 63 34
34 33 11 9 23 66 42
34 35 12 9 13 70 43
34 30 13 6 12 71 43
33 38 10 10 16 67 44
32 34 16 6 9 58 36
41 33 18 14 17 72 46
34 32 13 10 9 72 44
36 31 11 10 14 70 43
37 30 4 6 17 76 50
36 27 13 12 13 50 33
29 31 16 12 11 72 43
37 30 10 7 12 72 44
27 32 12 8 10 88 53
35 35 12 11 19 53 34
28 28 10 3 16 58 35
35 33 13 6 16 66 40
37 31 15 10 14 82 53
29 35 12 8 20 69 42
32 35 14 9 15 68 43
36 32 10 9 23 44 29
19 21 12 8 20 56 36
21 20 12 9 16 53 30
31 34 11 7 14 70 42
33 32 10 7 17 78 47
36 34 12 6 11 71 44
33 32 16 9 13 72 45
37 33 12 10 17 68 44
34 33 14 11 15 67 43
35 37 16 12 21 75 43
31 32 14 8 18 62 40
37 34 13 11 15 67 41
35 30 4 3 8 83 52
27 30 15 11 12 64 38
34 38 11 12 12 68 41
40 36 11 7 22 62 39
29 32 14 9 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 time9 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253143&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253143&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253143&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 5.29548 + 0.0487507Connected[t] + 0.0434807Separate[t] + 0.613561Software[t] -0.07754Depression[t] + 0.016702Sport1[t] -0.0170618Sport2[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Learning[t] =  +  5.29548 +  0.0487507Connected[t] +  0.0434807Separate[t] +  0.613561Software[t] -0.07754Depression[t] +  0.016702Sport1[t] -0.0170618Sport2[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253143&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Learning[t] =  +  5.29548 +  0.0487507Connected[t] +  0.0434807Separate[t] +  0.613561Software[t] -0.07754Depression[t] +  0.016702Sport1[t] -0.0170618Sport2[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253143&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253143&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
Learning[t] = + 5.29548 + 0.0487507Connected[t] + 0.0434807Separate[t] + 0.613561Software[t] -0.07754Depression[t] + 0.016702Sport1[t] -0.0170618Sport2[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)5.295481.704413.1070.002102590.00105129
Connected0.04875070.0348991.3970.1636460.0818232
Separate0.04348070.0357691.2160.2252540.112627
Software0.6135610.051909111.824.92842e-262.46421e-26
Depression-0.077540.0363019-2.1360.03362670.0168134
Sport10.0167020.03797890.43980.6604730.330236
Sport2-0.01706180.0566349-0.30130.763460.38173

\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) & 5.29548 & 1.70441 & 3.107 & 0.00210259 & 0.00105129 \tabularnewline
Connected & 0.0487507 & 0.034899 & 1.397 & 0.163646 & 0.0818232 \tabularnewline
Separate & 0.0434807 & 0.035769 & 1.216 & 0.225254 & 0.112627 \tabularnewline
Software & 0.613561 & 0.0519091 & 11.82 & 4.92842e-26 & 2.46421e-26 \tabularnewline
Depression & -0.07754 & 0.0363019 & -2.136 & 0.0336267 & 0.0168134 \tabularnewline
Sport1 & 0.016702 & 0.0379789 & 0.4398 & 0.660473 & 0.330236 \tabularnewline
Sport2 & -0.0170618 & 0.0566349 & -0.3013 & 0.76346 & 0.38173 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253143&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]5.29548[/C][C]1.70441[/C][C]3.107[/C][C]0.00210259[/C][C]0.00105129[/C][/ROW]
[ROW][C]Connected[/C][C]0.0487507[/C][C]0.034899[/C][C]1.397[/C][C]0.163646[/C][C]0.0818232[/C][/ROW]
[ROW][C]Separate[/C][C]0.0434807[/C][C]0.035769[/C][C]1.216[/C][C]0.225254[/C][C]0.112627[/C][/ROW]
[ROW][C]Software[/C][C]0.613561[/C][C]0.0519091[/C][C]11.82[/C][C]4.92842e-26[/C][C]2.46421e-26[/C][/ROW]
[ROW][C]Depression[/C][C]-0.07754[/C][C]0.0363019[/C][C]-2.136[/C][C]0.0336267[/C][C]0.0168134[/C][/ROW]
[ROW][C]Sport1[/C][C]0.016702[/C][C]0.0379789[/C][C]0.4398[/C][C]0.660473[/C][C]0.330236[/C][/ROW]
[ROW][C]Sport2[/C][C]-0.0170618[/C][C]0.0566349[/C][C]-0.3013[/C][C]0.76346[/C][C]0.38173[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253143&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253143&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)5.295481.704413.1070.002102590.00105129
Connected0.04875070.0348991.3970.1636460.0818232
Separate0.04348070.0357691.2160.2252540.112627
Software0.6135610.051909111.824.92842e-262.46421e-26
Depression-0.077540.0363019-2.1360.03362670.0168134
Sport10.0167020.03797890.43980.6604730.330236
Sport2-0.01706180.0566349-0.30130.763460.38173






Multiple Linear Regression - Regression Statistics
Multiple R0.648415
R-squared0.420442
Adjusted R-squared0.406912
F-TEST (value)31.0736
F-TEST (DF numerator)6
F-TEST (DF denominator)257
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.8914
Sum Squared Residuals919.389

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.648415 \tabularnewline
R-squared & 0.420442 \tabularnewline
Adjusted R-squared & 0.406912 \tabularnewline
F-TEST (value) & 31.0736 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 257 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 1.8914 \tabularnewline
Sum Squared Residuals & 919.389 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253143&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.648415[/C][/ROW]
[ROW][C]R-squared[/C][C]0.420442[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.406912[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]31.0736[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]257[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]1.8914[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]919.389[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253143&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253143&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 R0.648415
R-squared0.420442
Adjusted R-squared0.406912
F-TEST (value)31.0736
F-TEST (DF numerator)6
F-TEST (DF denominator)257
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.8914
Sum Squared Residuals919.389






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11315.718-2.71801
21615.00050.99951
31916.78342.21658
41511.4123.58799
51415.3943-1.39426
61313.9687-0.968681
71914.45544.54456
81516.7554-1.75536
91415.6278-1.62783
101513.7331.267
111614.33961.66045
121615.61010.389865
131615.27190.728093
141614.85151.14849
151717.4899-0.489858
161514.9220.0779665
171513.97681.02319
182015.85854.14149
191815.19222.80781
201614.93941.06061
211614.70571.29429
221614.81681.18315
231916.23372.76629
241614.76261.23736
251715.64711.3529
261716.49830.501665
271614.39071.6093
281516.3415-1.34152
291615.15130.848732
301413.88380.116224
311515.3197-0.319662
321212.0874-0.087392
331414.2596-0.259557
341615.55320.446783
351415.1315-1.13149
361012.4001-2.4001
371012.4493-2.44934
381415.3698-1.36981
391613.90192.09812
401614.23271.76733
411614.39661.60344
421415.167-1.16697
432017.46142.53864
441413.82630.173739
451414.084-0.0839835
461115.4291-4.42906
471416.4742-2.47416
481514.74660.25336
491614.80821.1918
501415.5341-1.53406
511616.7741-0.774053
521413.64650.35346
531214.6783-2.67832
541615.74670.253311
55910.8998-1.89976
561411.64562.35443
571615.4980.502015
581615.25490.745091
591515.1239-0.123926
601613.88812.1119
611211.05880.94118
621615.57690.423119
631616.6514-0.651401
641414.3318-0.33178
651614.99451.00551
661716.2340.76597
671816.22971.77025
681814.27043.72961
691215.6946-3.69458
701615.32360.67644
711012.9821-2.9821
721414.384-0.383963
731816.76451.23551
741817.21510.784859
751615.18670.813342
761713.05013.9499
771616.1118-0.111803
781614.13361.86638
791314.8473-1.84727
801615.2770.723019
811615.5140.48603
821615.69350.306522
831515.452-0.451965
841514.60440.395633
851613.86392.1361
861413.84270.157343
871615.25070.749304
881614.63911.36086
891514.43150.568545
901213.3205-1.32049
911716.82110.178923
921615.64040.359609
931514.82320.176804
941314.9414-1.94141
951614.5791.42101
961615.77550.224481
971613.53672.46332
981615.62130.378708
991414.2655-0.265531
1001617.0293-1.02934
1011614.58111.41892
1022017.46472.53531
1031514.35490.645066
1041614.62611.37391
1051314.9626-1.96257
1061715.64711.35292
1071615.56430.435712
1081614.49731.50273
1091211.90840.0916409
1101615.0460.954022
1111616.1536-0.153603
1121715.06581.93418
1131314.3234-1.32344
1141214.2502-2.25018
1151816.22361.77637
1161415.8731-1.87309
1171412.9611.03898
1181314.9132-1.91324
1191615.47770.52227
1201314.438-1.43798
1211615.3560.644022
1221315.9187-2.91869
1231617.1885-1.18851
1241515.9732-0.97323
1251617.1096-1.10965
1261514.66820.331784
1271715.59531.40474
1281513.58731.41274
1291214.6296-2.6296
1301614.04231.95771
1311013.6701-3.67012
1321613.48862.5114
1331213.9054-1.9054
1341415.6349-1.63488
1351514.9090.0909861
1361311.69461.30542
1371514.47410.525926
1381113.4795-2.47954
1391212.9221-0.922107
1401113.3731-2.37305
1411612.80583.19419
1421513.33611.6639
1431717.0849-0.0848621
1441614.12671.87329
1451013.197-3.19704
1461815.54272.45725
1471315.3243-2.3243
1481615.1810.818992
1491312.87630.123667
1501012.7236-2.7236
1511516.1275-1.12747
1521613.91582.08423
1531611.90024.09978
1541412.48041.51964
1551012.1975-2.19753
1561716.82110.178923
1571311.47891.52112
1581513.58731.41274
1591614.92851.07148
1601212.5704-0.570419
1611312.55380.446244
1621312.38560.614424
1631212.3111-0.31114
1641716.13840.861597
1651513.85751.14247
1661011.2339-1.23386
1671414.4953-0.495349
1681114.4124-3.41242
1691315.2438-2.24384
1701614.70731.29274
1711210.30271.69732
1721615.54340.456627
1731214.5221-2.52207
174911.1613-2.16127
1751215.0745-3.07451
1761514.98070.0193205
1771212.6041-0.60405
1781212.6417-0.641659
1791413.93440.0656318
1801213.7126-1.71264
1811615.46450.535524
1821111.7092-0.709186
1831917.1411.85904
1841515.6439-0.64392
185814.6433-6.64333
1861614.82891.17108
1871714.69482.30524
1881212.475-0.474971
1891111.4774-0.477384
1901110.21370.786312
1911415.2225-1.22252
1921615.97650.0234974
193129.403792.59621
1941614.45511.54493
1951313.7488-0.748764
1961515.6022-0.6022
1971612.85023.14981
1981615.26150.738526
1991412.79211.20785
2001614.84441.15557
2011614.50871.4913
2021413.4450.554982
2031113.5061-2.50607
2041214.9263-2.92631
2051512.9072.09296
2061514.72760.272368
2071614.91051.08949
2081615.10630.893715
2091113.9538-2.95384
2101514.14290.85712
2111214.8189-2.81888
2121216.2159-4.2159
2131514.43640.563558
2141512.53332.46671
2151615.00470.995302
2161413.26120.738792
2171714.85482.14523
2181414.3793-0.379288
2191312.17950.820461
2201515.5058-0.50578
2211315.3534-2.35338
2221414.3582-0.358247
2231514.7920.207983
2241213.4742-1.47415
2251312.8590.140981
226811.8447-3.84469
2271413.81970.180323
2281413.44630.553705
2291112.5122-1.51224
2301213.4243-1.42434
2311311.46051.5395
2321013.8198-3.81981
2331611.67184.32815
2341816.41851.5815
2351314.234-1.23397
2361113.8839-2.88394
237411.1831-7.18313
2381314.8513-1.85126
2391615.03580.964165
2401012.22-2.21995
2411212.7017-0.701724
2421214.1046-2.1046
243108.849561.15044
2441311.29721.70279
2451513.96251.0375
2461212.0246-0.0246092
2471413.13840.861641
2481012.4206-2.42062
2491210.81361.18638
2501211.84360.156376
2511111.947-0.947011
2521011.7732-1.77324
2531211.79240.207598
2541613.24442.75557
2551213.7366-1.73657
2561414.3593-0.359319
2571614.86391.13607
2581412.0641.93604
2591314.5832-1.58318
260410.0256-6.02559
2611514.15540.844555
2621115.4737-4.47373
2631111.77-0.769978
2641413.16110.838907

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 13 & 15.718 & -2.71801 \tabularnewline
2 & 16 & 15.0005 & 0.99951 \tabularnewline
3 & 19 & 16.7834 & 2.21658 \tabularnewline
4 & 15 & 11.412 & 3.58799 \tabularnewline
5 & 14 & 15.3943 & -1.39426 \tabularnewline
6 & 13 & 13.9687 & -0.968681 \tabularnewline
7 & 19 & 14.4554 & 4.54456 \tabularnewline
8 & 15 & 16.7554 & -1.75536 \tabularnewline
9 & 14 & 15.6278 & -1.62783 \tabularnewline
10 & 15 & 13.733 & 1.267 \tabularnewline
11 & 16 & 14.3396 & 1.66045 \tabularnewline
12 & 16 & 15.6101 & 0.389865 \tabularnewline
13 & 16 & 15.2719 & 0.728093 \tabularnewline
14 & 16 & 14.8515 & 1.14849 \tabularnewline
15 & 17 & 17.4899 & -0.489858 \tabularnewline
16 & 15 & 14.922 & 0.0779665 \tabularnewline
17 & 15 & 13.9768 & 1.02319 \tabularnewline
18 & 20 & 15.8585 & 4.14149 \tabularnewline
19 & 18 & 15.1922 & 2.80781 \tabularnewline
20 & 16 & 14.9394 & 1.06061 \tabularnewline
21 & 16 & 14.7057 & 1.29429 \tabularnewline
22 & 16 & 14.8168 & 1.18315 \tabularnewline
23 & 19 & 16.2337 & 2.76629 \tabularnewline
24 & 16 & 14.7626 & 1.23736 \tabularnewline
25 & 17 & 15.6471 & 1.3529 \tabularnewline
26 & 17 & 16.4983 & 0.501665 \tabularnewline
27 & 16 & 14.3907 & 1.6093 \tabularnewline
28 & 15 & 16.3415 & -1.34152 \tabularnewline
29 & 16 & 15.1513 & 0.848732 \tabularnewline
30 & 14 & 13.8838 & 0.116224 \tabularnewline
31 & 15 & 15.3197 & -0.319662 \tabularnewline
32 & 12 & 12.0874 & -0.087392 \tabularnewline
33 & 14 & 14.2596 & -0.259557 \tabularnewline
34 & 16 & 15.5532 & 0.446783 \tabularnewline
35 & 14 & 15.1315 & -1.13149 \tabularnewline
36 & 10 & 12.4001 & -2.4001 \tabularnewline
37 & 10 & 12.4493 & -2.44934 \tabularnewline
38 & 14 & 15.3698 & -1.36981 \tabularnewline
39 & 16 & 13.9019 & 2.09812 \tabularnewline
40 & 16 & 14.2327 & 1.76733 \tabularnewline
41 & 16 & 14.3966 & 1.60344 \tabularnewline
42 & 14 & 15.167 & -1.16697 \tabularnewline
43 & 20 & 17.4614 & 2.53864 \tabularnewline
44 & 14 & 13.8263 & 0.173739 \tabularnewline
45 & 14 & 14.084 & -0.0839835 \tabularnewline
46 & 11 & 15.4291 & -4.42906 \tabularnewline
47 & 14 & 16.4742 & -2.47416 \tabularnewline
48 & 15 & 14.7466 & 0.25336 \tabularnewline
49 & 16 & 14.8082 & 1.1918 \tabularnewline
50 & 14 & 15.5341 & -1.53406 \tabularnewline
51 & 16 & 16.7741 & -0.774053 \tabularnewline
52 & 14 & 13.6465 & 0.35346 \tabularnewline
53 & 12 & 14.6783 & -2.67832 \tabularnewline
54 & 16 & 15.7467 & 0.253311 \tabularnewline
55 & 9 & 10.8998 & -1.89976 \tabularnewline
56 & 14 & 11.6456 & 2.35443 \tabularnewline
57 & 16 & 15.498 & 0.502015 \tabularnewline
58 & 16 & 15.2549 & 0.745091 \tabularnewline
59 & 15 & 15.1239 & -0.123926 \tabularnewline
60 & 16 & 13.8881 & 2.1119 \tabularnewline
61 & 12 & 11.0588 & 0.94118 \tabularnewline
62 & 16 & 15.5769 & 0.423119 \tabularnewline
63 & 16 & 16.6514 & -0.651401 \tabularnewline
64 & 14 & 14.3318 & -0.33178 \tabularnewline
65 & 16 & 14.9945 & 1.00551 \tabularnewline
66 & 17 & 16.234 & 0.76597 \tabularnewline
67 & 18 & 16.2297 & 1.77025 \tabularnewline
68 & 18 & 14.2704 & 3.72961 \tabularnewline
69 & 12 & 15.6946 & -3.69458 \tabularnewline
70 & 16 & 15.3236 & 0.67644 \tabularnewline
71 & 10 & 12.9821 & -2.9821 \tabularnewline
72 & 14 & 14.384 & -0.383963 \tabularnewline
73 & 18 & 16.7645 & 1.23551 \tabularnewline
74 & 18 & 17.2151 & 0.784859 \tabularnewline
75 & 16 & 15.1867 & 0.813342 \tabularnewline
76 & 17 & 13.0501 & 3.9499 \tabularnewline
77 & 16 & 16.1118 & -0.111803 \tabularnewline
78 & 16 & 14.1336 & 1.86638 \tabularnewline
79 & 13 & 14.8473 & -1.84727 \tabularnewline
80 & 16 & 15.277 & 0.723019 \tabularnewline
81 & 16 & 15.514 & 0.48603 \tabularnewline
82 & 16 & 15.6935 & 0.306522 \tabularnewline
83 & 15 & 15.452 & -0.451965 \tabularnewline
84 & 15 & 14.6044 & 0.395633 \tabularnewline
85 & 16 & 13.8639 & 2.1361 \tabularnewline
86 & 14 & 13.8427 & 0.157343 \tabularnewline
87 & 16 & 15.2507 & 0.749304 \tabularnewline
88 & 16 & 14.6391 & 1.36086 \tabularnewline
89 & 15 & 14.4315 & 0.568545 \tabularnewline
90 & 12 & 13.3205 & -1.32049 \tabularnewline
91 & 17 & 16.8211 & 0.178923 \tabularnewline
92 & 16 & 15.6404 & 0.359609 \tabularnewline
93 & 15 & 14.8232 & 0.176804 \tabularnewline
94 & 13 & 14.9414 & -1.94141 \tabularnewline
95 & 16 & 14.579 & 1.42101 \tabularnewline
96 & 16 & 15.7755 & 0.224481 \tabularnewline
97 & 16 & 13.5367 & 2.46332 \tabularnewline
98 & 16 & 15.6213 & 0.378708 \tabularnewline
99 & 14 & 14.2655 & -0.265531 \tabularnewline
100 & 16 & 17.0293 & -1.02934 \tabularnewline
101 & 16 & 14.5811 & 1.41892 \tabularnewline
102 & 20 & 17.4647 & 2.53531 \tabularnewline
103 & 15 & 14.3549 & 0.645066 \tabularnewline
104 & 16 & 14.6261 & 1.37391 \tabularnewline
105 & 13 & 14.9626 & -1.96257 \tabularnewline
106 & 17 & 15.6471 & 1.35292 \tabularnewline
107 & 16 & 15.5643 & 0.435712 \tabularnewline
108 & 16 & 14.4973 & 1.50273 \tabularnewline
109 & 12 & 11.9084 & 0.0916409 \tabularnewline
110 & 16 & 15.046 & 0.954022 \tabularnewline
111 & 16 & 16.1536 & -0.153603 \tabularnewline
112 & 17 & 15.0658 & 1.93418 \tabularnewline
113 & 13 & 14.3234 & -1.32344 \tabularnewline
114 & 12 & 14.2502 & -2.25018 \tabularnewline
115 & 18 & 16.2236 & 1.77637 \tabularnewline
116 & 14 & 15.8731 & -1.87309 \tabularnewline
117 & 14 & 12.961 & 1.03898 \tabularnewline
118 & 13 & 14.9132 & -1.91324 \tabularnewline
119 & 16 & 15.4777 & 0.52227 \tabularnewline
120 & 13 & 14.438 & -1.43798 \tabularnewline
121 & 16 & 15.356 & 0.644022 \tabularnewline
122 & 13 & 15.9187 & -2.91869 \tabularnewline
123 & 16 & 17.1885 & -1.18851 \tabularnewline
124 & 15 & 15.9732 & -0.97323 \tabularnewline
125 & 16 & 17.1096 & -1.10965 \tabularnewline
126 & 15 & 14.6682 & 0.331784 \tabularnewline
127 & 17 & 15.5953 & 1.40474 \tabularnewline
128 & 15 & 13.5873 & 1.41274 \tabularnewline
129 & 12 & 14.6296 & -2.6296 \tabularnewline
130 & 16 & 14.0423 & 1.95771 \tabularnewline
131 & 10 & 13.6701 & -3.67012 \tabularnewline
132 & 16 & 13.4886 & 2.5114 \tabularnewline
133 & 12 & 13.9054 & -1.9054 \tabularnewline
134 & 14 & 15.6349 & -1.63488 \tabularnewline
135 & 15 & 14.909 & 0.0909861 \tabularnewline
136 & 13 & 11.6946 & 1.30542 \tabularnewline
137 & 15 & 14.4741 & 0.525926 \tabularnewline
138 & 11 & 13.4795 & -2.47954 \tabularnewline
139 & 12 & 12.9221 & -0.922107 \tabularnewline
140 & 11 & 13.3731 & -2.37305 \tabularnewline
141 & 16 & 12.8058 & 3.19419 \tabularnewline
142 & 15 & 13.3361 & 1.6639 \tabularnewline
143 & 17 & 17.0849 & -0.0848621 \tabularnewline
144 & 16 & 14.1267 & 1.87329 \tabularnewline
145 & 10 & 13.197 & -3.19704 \tabularnewline
146 & 18 & 15.5427 & 2.45725 \tabularnewline
147 & 13 & 15.3243 & -2.3243 \tabularnewline
148 & 16 & 15.181 & 0.818992 \tabularnewline
149 & 13 & 12.8763 & 0.123667 \tabularnewline
150 & 10 & 12.7236 & -2.7236 \tabularnewline
151 & 15 & 16.1275 & -1.12747 \tabularnewline
152 & 16 & 13.9158 & 2.08423 \tabularnewline
153 & 16 & 11.9002 & 4.09978 \tabularnewline
154 & 14 & 12.4804 & 1.51964 \tabularnewline
155 & 10 & 12.1975 & -2.19753 \tabularnewline
156 & 17 & 16.8211 & 0.178923 \tabularnewline
157 & 13 & 11.4789 & 1.52112 \tabularnewline
158 & 15 & 13.5873 & 1.41274 \tabularnewline
159 & 16 & 14.9285 & 1.07148 \tabularnewline
160 & 12 & 12.5704 & -0.570419 \tabularnewline
161 & 13 & 12.5538 & 0.446244 \tabularnewline
162 & 13 & 12.3856 & 0.614424 \tabularnewline
163 & 12 & 12.3111 & -0.31114 \tabularnewline
164 & 17 & 16.1384 & 0.861597 \tabularnewline
165 & 15 & 13.8575 & 1.14247 \tabularnewline
166 & 10 & 11.2339 & -1.23386 \tabularnewline
167 & 14 & 14.4953 & -0.495349 \tabularnewline
168 & 11 & 14.4124 & -3.41242 \tabularnewline
169 & 13 & 15.2438 & -2.24384 \tabularnewline
170 & 16 & 14.7073 & 1.29274 \tabularnewline
171 & 12 & 10.3027 & 1.69732 \tabularnewline
172 & 16 & 15.5434 & 0.456627 \tabularnewline
173 & 12 & 14.5221 & -2.52207 \tabularnewline
174 & 9 & 11.1613 & -2.16127 \tabularnewline
175 & 12 & 15.0745 & -3.07451 \tabularnewline
176 & 15 & 14.9807 & 0.0193205 \tabularnewline
177 & 12 & 12.6041 & -0.60405 \tabularnewline
178 & 12 & 12.6417 & -0.641659 \tabularnewline
179 & 14 & 13.9344 & 0.0656318 \tabularnewline
180 & 12 & 13.7126 & -1.71264 \tabularnewline
181 & 16 & 15.4645 & 0.535524 \tabularnewline
182 & 11 & 11.7092 & -0.709186 \tabularnewline
183 & 19 & 17.141 & 1.85904 \tabularnewline
184 & 15 & 15.6439 & -0.64392 \tabularnewline
185 & 8 & 14.6433 & -6.64333 \tabularnewline
186 & 16 & 14.8289 & 1.17108 \tabularnewline
187 & 17 & 14.6948 & 2.30524 \tabularnewline
188 & 12 & 12.475 & -0.474971 \tabularnewline
189 & 11 & 11.4774 & -0.477384 \tabularnewline
190 & 11 & 10.2137 & 0.786312 \tabularnewline
191 & 14 & 15.2225 & -1.22252 \tabularnewline
192 & 16 & 15.9765 & 0.0234974 \tabularnewline
193 & 12 & 9.40379 & 2.59621 \tabularnewline
194 & 16 & 14.4551 & 1.54493 \tabularnewline
195 & 13 & 13.7488 & -0.748764 \tabularnewline
196 & 15 & 15.6022 & -0.6022 \tabularnewline
197 & 16 & 12.8502 & 3.14981 \tabularnewline
198 & 16 & 15.2615 & 0.738526 \tabularnewline
199 & 14 & 12.7921 & 1.20785 \tabularnewline
200 & 16 & 14.8444 & 1.15557 \tabularnewline
201 & 16 & 14.5087 & 1.4913 \tabularnewline
202 & 14 & 13.445 & 0.554982 \tabularnewline
203 & 11 & 13.5061 & -2.50607 \tabularnewline
204 & 12 & 14.9263 & -2.92631 \tabularnewline
205 & 15 & 12.907 & 2.09296 \tabularnewline
206 & 15 & 14.7276 & 0.272368 \tabularnewline
207 & 16 & 14.9105 & 1.08949 \tabularnewline
208 & 16 & 15.1063 & 0.893715 \tabularnewline
209 & 11 & 13.9538 & -2.95384 \tabularnewline
210 & 15 & 14.1429 & 0.85712 \tabularnewline
211 & 12 & 14.8189 & -2.81888 \tabularnewline
212 & 12 & 16.2159 & -4.2159 \tabularnewline
213 & 15 & 14.4364 & 0.563558 \tabularnewline
214 & 15 & 12.5333 & 2.46671 \tabularnewline
215 & 16 & 15.0047 & 0.995302 \tabularnewline
216 & 14 & 13.2612 & 0.738792 \tabularnewline
217 & 17 & 14.8548 & 2.14523 \tabularnewline
218 & 14 & 14.3793 & -0.379288 \tabularnewline
219 & 13 & 12.1795 & 0.820461 \tabularnewline
220 & 15 & 15.5058 & -0.50578 \tabularnewline
221 & 13 & 15.3534 & -2.35338 \tabularnewline
222 & 14 & 14.3582 & -0.358247 \tabularnewline
223 & 15 & 14.792 & 0.207983 \tabularnewline
224 & 12 & 13.4742 & -1.47415 \tabularnewline
225 & 13 & 12.859 & 0.140981 \tabularnewline
226 & 8 & 11.8447 & -3.84469 \tabularnewline
227 & 14 & 13.8197 & 0.180323 \tabularnewline
228 & 14 & 13.4463 & 0.553705 \tabularnewline
229 & 11 & 12.5122 & -1.51224 \tabularnewline
230 & 12 & 13.4243 & -1.42434 \tabularnewline
231 & 13 & 11.4605 & 1.5395 \tabularnewline
232 & 10 & 13.8198 & -3.81981 \tabularnewline
233 & 16 & 11.6718 & 4.32815 \tabularnewline
234 & 18 & 16.4185 & 1.5815 \tabularnewline
235 & 13 & 14.234 & -1.23397 \tabularnewline
236 & 11 & 13.8839 & -2.88394 \tabularnewline
237 & 4 & 11.1831 & -7.18313 \tabularnewline
238 & 13 & 14.8513 & -1.85126 \tabularnewline
239 & 16 & 15.0358 & 0.964165 \tabularnewline
240 & 10 & 12.22 & -2.21995 \tabularnewline
241 & 12 & 12.7017 & -0.701724 \tabularnewline
242 & 12 & 14.1046 & -2.1046 \tabularnewline
243 & 10 & 8.84956 & 1.15044 \tabularnewline
244 & 13 & 11.2972 & 1.70279 \tabularnewline
245 & 15 & 13.9625 & 1.0375 \tabularnewline
246 & 12 & 12.0246 & -0.0246092 \tabularnewline
247 & 14 & 13.1384 & 0.861641 \tabularnewline
248 & 10 & 12.4206 & -2.42062 \tabularnewline
249 & 12 & 10.8136 & 1.18638 \tabularnewline
250 & 12 & 11.8436 & 0.156376 \tabularnewline
251 & 11 & 11.947 & -0.947011 \tabularnewline
252 & 10 & 11.7732 & -1.77324 \tabularnewline
253 & 12 & 11.7924 & 0.207598 \tabularnewline
254 & 16 & 13.2444 & 2.75557 \tabularnewline
255 & 12 & 13.7366 & -1.73657 \tabularnewline
256 & 14 & 14.3593 & -0.359319 \tabularnewline
257 & 16 & 14.8639 & 1.13607 \tabularnewline
258 & 14 & 12.064 & 1.93604 \tabularnewline
259 & 13 & 14.5832 & -1.58318 \tabularnewline
260 & 4 & 10.0256 & -6.02559 \tabularnewline
261 & 15 & 14.1554 & 0.844555 \tabularnewline
262 & 11 & 15.4737 & -4.47373 \tabularnewline
263 & 11 & 11.77 & -0.769978 \tabularnewline
264 & 14 & 13.1611 & 0.838907 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253143&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]13[/C][C]15.718[/C][C]-2.71801[/C][/ROW]
[ROW][C]2[/C][C]16[/C][C]15.0005[/C][C]0.99951[/C][/ROW]
[ROW][C]3[/C][C]19[/C][C]16.7834[/C][C]2.21658[/C][/ROW]
[ROW][C]4[/C][C]15[/C][C]11.412[/C][C]3.58799[/C][/ROW]
[ROW][C]5[/C][C]14[/C][C]15.3943[/C][C]-1.39426[/C][/ROW]
[ROW][C]6[/C][C]13[/C][C]13.9687[/C][C]-0.968681[/C][/ROW]
[ROW][C]7[/C][C]19[/C][C]14.4554[/C][C]4.54456[/C][/ROW]
[ROW][C]8[/C][C]15[/C][C]16.7554[/C][C]-1.75536[/C][/ROW]
[ROW][C]9[/C][C]14[/C][C]15.6278[/C][C]-1.62783[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]13.733[/C][C]1.267[/C][/ROW]
[ROW][C]11[/C][C]16[/C][C]14.3396[/C][C]1.66045[/C][/ROW]
[ROW][C]12[/C][C]16[/C][C]15.6101[/C][C]0.389865[/C][/ROW]
[ROW][C]13[/C][C]16[/C][C]15.2719[/C][C]0.728093[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]14.8515[/C][C]1.14849[/C][/ROW]
[ROW][C]15[/C][C]17[/C][C]17.4899[/C][C]-0.489858[/C][/ROW]
[ROW][C]16[/C][C]15[/C][C]14.922[/C][C]0.0779665[/C][/ROW]
[ROW][C]17[/C][C]15[/C][C]13.9768[/C][C]1.02319[/C][/ROW]
[ROW][C]18[/C][C]20[/C][C]15.8585[/C][C]4.14149[/C][/ROW]
[ROW][C]19[/C][C]18[/C][C]15.1922[/C][C]2.80781[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]14.9394[/C][C]1.06061[/C][/ROW]
[ROW][C]21[/C][C]16[/C][C]14.7057[/C][C]1.29429[/C][/ROW]
[ROW][C]22[/C][C]16[/C][C]14.8168[/C][C]1.18315[/C][/ROW]
[ROW][C]23[/C][C]19[/C][C]16.2337[/C][C]2.76629[/C][/ROW]
[ROW][C]24[/C][C]16[/C][C]14.7626[/C][C]1.23736[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]15.6471[/C][C]1.3529[/C][/ROW]
[ROW][C]26[/C][C]17[/C][C]16.4983[/C][C]0.501665[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]14.3907[/C][C]1.6093[/C][/ROW]
[ROW][C]28[/C][C]15[/C][C]16.3415[/C][C]-1.34152[/C][/ROW]
[ROW][C]29[/C][C]16[/C][C]15.1513[/C][C]0.848732[/C][/ROW]
[ROW][C]30[/C][C]14[/C][C]13.8838[/C][C]0.116224[/C][/ROW]
[ROW][C]31[/C][C]15[/C][C]15.3197[/C][C]-0.319662[/C][/ROW]
[ROW][C]32[/C][C]12[/C][C]12.0874[/C][C]-0.087392[/C][/ROW]
[ROW][C]33[/C][C]14[/C][C]14.2596[/C][C]-0.259557[/C][/ROW]
[ROW][C]34[/C][C]16[/C][C]15.5532[/C][C]0.446783[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]15.1315[/C][C]-1.13149[/C][/ROW]
[ROW][C]36[/C][C]10[/C][C]12.4001[/C][C]-2.4001[/C][/ROW]
[ROW][C]37[/C][C]10[/C][C]12.4493[/C][C]-2.44934[/C][/ROW]
[ROW][C]38[/C][C]14[/C][C]15.3698[/C][C]-1.36981[/C][/ROW]
[ROW][C]39[/C][C]16[/C][C]13.9019[/C][C]2.09812[/C][/ROW]
[ROW][C]40[/C][C]16[/C][C]14.2327[/C][C]1.76733[/C][/ROW]
[ROW][C]41[/C][C]16[/C][C]14.3966[/C][C]1.60344[/C][/ROW]
[ROW][C]42[/C][C]14[/C][C]15.167[/C][C]-1.16697[/C][/ROW]
[ROW][C]43[/C][C]20[/C][C]17.4614[/C][C]2.53864[/C][/ROW]
[ROW][C]44[/C][C]14[/C][C]13.8263[/C][C]0.173739[/C][/ROW]
[ROW][C]45[/C][C]14[/C][C]14.084[/C][C]-0.0839835[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]15.4291[/C][C]-4.42906[/C][/ROW]
[ROW][C]47[/C][C]14[/C][C]16.4742[/C][C]-2.47416[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.7466[/C][C]0.25336[/C][/ROW]
[ROW][C]49[/C][C]16[/C][C]14.8082[/C][C]1.1918[/C][/ROW]
[ROW][C]50[/C][C]14[/C][C]15.5341[/C][C]-1.53406[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]16.7741[/C][C]-0.774053[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]13.6465[/C][C]0.35346[/C][/ROW]
[ROW][C]53[/C][C]12[/C][C]14.6783[/C][C]-2.67832[/C][/ROW]
[ROW][C]54[/C][C]16[/C][C]15.7467[/C][C]0.253311[/C][/ROW]
[ROW][C]55[/C][C]9[/C][C]10.8998[/C][C]-1.89976[/C][/ROW]
[ROW][C]56[/C][C]14[/C][C]11.6456[/C][C]2.35443[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]15.498[/C][C]0.502015[/C][/ROW]
[ROW][C]58[/C][C]16[/C][C]15.2549[/C][C]0.745091[/C][/ROW]
[ROW][C]59[/C][C]15[/C][C]15.1239[/C][C]-0.123926[/C][/ROW]
[ROW][C]60[/C][C]16[/C][C]13.8881[/C][C]2.1119[/C][/ROW]
[ROW][C]61[/C][C]12[/C][C]11.0588[/C][C]0.94118[/C][/ROW]
[ROW][C]62[/C][C]16[/C][C]15.5769[/C][C]0.423119[/C][/ROW]
[ROW][C]63[/C][C]16[/C][C]16.6514[/C][C]-0.651401[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]14.3318[/C][C]-0.33178[/C][/ROW]
[ROW][C]65[/C][C]16[/C][C]14.9945[/C][C]1.00551[/C][/ROW]
[ROW][C]66[/C][C]17[/C][C]16.234[/C][C]0.76597[/C][/ROW]
[ROW][C]67[/C][C]18[/C][C]16.2297[/C][C]1.77025[/C][/ROW]
[ROW][C]68[/C][C]18[/C][C]14.2704[/C][C]3.72961[/C][/ROW]
[ROW][C]69[/C][C]12[/C][C]15.6946[/C][C]-3.69458[/C][/ROW]
[ROW][C]70[/C][C]16[/C][C]15.3236[/C][C]0.67644[/C][/ROW]
[ROW][C]71[/C][C]10[/C][C]12.9821[/C][C]-2.9821[/C][/ROW]
[ROW][C]72[/C][C]14[/C][C]14.384[/C][C]-0.383963[/C][/ROW]
[ROW][C]73[/C][C]18[/C][C]16.7645[/C][C]1.23551[/C][/ROW]
[ROW][C]74[/C][C]18[/C][C]17.2151[/C][C]0.784859[/C][/ROW]
[ROW][C]75[/C][C]16[/C][C]15.1867[/C][C]0.813342[/C][/ROW]
[ROW][C]76[/C][C]17[/C][C]13.0501[/C][C]3.9499[/C][/ROW]
[ROW][C]77[/C][C]16[/C][C]16.1118[/C][C]-0.111803[/C][/ROW]
[ROW][C]78[/C][C]16[/C][C]14.1336[/C][C]1.86638[/C][/ROW]
[ROW][C]79[/C][C]13[/C][C]14.8473[/C][C]-1.84727[/C][/ROW]
[ROW][C]80[/C][C]16[/C][C]15.277[/C][C]0.723019[/C][/ROW]
[ROW][C]81[/C][C]16[/C][C]15.514[/C][C]0.48603[/C][/ROW]
[ROW][C]82[/C][C]16[/C][C]15.6935[/C][C]0.306522[/C][/ROW]
[ROW][C]83[/C][C]15[/C][C]15.452[/C][C]-0.451965[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]14.6044[/C][C]0.395633[/C][/ROW]
[ROW][C]85[/C][C]16[/C][C]13.8639[/C][C]2.1361[/C][/ROW]
[ROW][C]86[/C][C]14[/C][C]13.8427[/C][C]0.157343[/C][/ROW]
[ROW][C]87[/C][C]16[/C][C]15.2507[/C][C]0.749304[/C][/ROW]
[ROW][C]88[/C][C]16[/C][C]14.6391[/C][C]1.36086[/C][/ROW]
[ROW][C]89[/C][C]15[/C][C]14.4315[/C][C]0.568545[/C][/ROW]
[ROW][C]90[/C][C]12[/C][C]13.3205[/C][C]-1.32049[/C][/ROW]
[ROW][C]91[/C][C]17[/C][C]16.8211[/C][C]0.178923[/C][/ROW]
[ROW][C]92[/C][C]16[/C][C]15.6404[/C][C]0.359609[/C][/ROW]
[ROW][C]93[/C][C]15[/C][C]14.8232[/C][C]0.176804[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]14.9414[/C][C]-1.94141[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]14.579[/C][C]1.42101[/C][/ROW]
[ROW][C]96[/C][C]16[/C][C]15.7755[/C][C]0.224481[/C][/ROW]
[ROW][C]97[/C][C]16[/C][C]13.5367[/C][C]2.46332[/C][/ROW]
[ROW][C]98[/C][C]16[/C][C]15.6213[/C][C]0.378708[/C][/ROW]
[ROW][C]99[/C][C]14[/C][C]14.2655[/C][C]-0.265531[/C][/ROW]
[ROW][C]100[/C][C]16[/C][C]17.0293[/C][C]-1.02934[/C][/ROW]
[ROW][C]101[/C][C]16[/C][C]14.5811[/C][C]1.41892[/C][/ROW]
[ROW][C]102[/C][C]20[/C][C]17.4647[/C][C]2.53531[/C][/ROW]
[ROW][C]103[/C][C]15[/C][C]14.3549[/C][C]0.645066[/C][/ROW]
[ROW][C]104[/C][C]16[/C][C]14.6261[/C][C]1.37391[/C][/ROW]
[ROW][C]105[/C][C]13[/C][C]14.9626[/C][C]-1.96257[/C][/ROW]
[ROW][C]106[/C][C]17[/C][C]15.6471[/C][C]1.35292[/C][/ROW]
[ROW][C]107[/C][C]16[/C][C]15.5643[/C][C]0.435712[/C][/ROW]
[ROW][C]108[/C][C]16[/C][C]14.4973[/C][C]1.50273[/C][/ROW]
[ROW][C]109[/C][C]12[/C][C]11.9084[/C][C]0.0916409[/C][/ROW]
[ROW][C]110[/C][C]16[/C][C]15.046[/C][C]0.954022[/C][/ROW]
[ROW][C]111[/C][C]16[/C][C]16.1536[/C][C]-0.153603[/C][/ROW]
[ROW][C]112[/C][C]17[/C][C]15.0658[/C][C]1.93418[/C][/ROW]
[ROW][C]113[/C][C]13[/C][C]14.3234[/C][C]-1.32344[/C][/ROW]
[ROW][C]114[/C][C]12[/C][C]14.2502[/C][C]-2.25018[/C][/ROW]
[ROW][C]115[/C][C]18[/C][C]16.2236[/C][C]1.77637[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]15.8731[/C][C]-1.87309[/C][/ROW]
[ROW][C]117[/C][C]14[/C][C]12.961[/C][C]1.03898[/C][/ROW]
[ROW][C]118[/C][C]13[/C][C]14.9132[/C][C]-1.91324[/C][/ROW]
[ROW][C]119[/C][C]16[/C][C]15.4777[/C][C]0.52227[/C][/ROW]
[ROW][C]120[/C][C]13[/C][C]14.438[/C][C]-1.43798[/C][/ROW]
[ROW][C]121[/C][C]16[/C][C]15.356[/C][C]0.644022[/C][/ROW]
[ROW][C]122[/C][C]13[/C][C]15.9187[/C][C]-2.91869[/C][/ROW]
[ROW][C]123[/C][C]16[/C][C]17.1885[/C][C]-1.18851[/C][/ROW]
[ROW][C]124[/C][C]15[/C][C]15.9732[/C][C]-0.97323[/C][/ROW]
[ROW][C]125[/C][C]16[/C][C]17.1096[/C][C]-1.10965[/C][/ROW]
[ROW][C]126[/C][C]15[/C][C]14.6682[/C][C]0.331784[/C][/ROW]
[ROW][C]127[/C][C]17[/C][C]15.5953[/C][C]1.40474[/C][/ROW]
[ROW][C]128[/C][C]15[/C][C]13.5873[/C][C]1.41274[/C][/ROW]
[ROW][C]129[/C][C]12[/C][C]14.6296[/C][C]-2.6296[/C][/ROW]
[ROW][C]130[/C][C]16[/C][C]14.0423[/C][C]1.95771[/C][/ROW]
[ROW][C]131[/C][C]10[/C][C]13.6701[/C][C]-3.67012[/C][/ROW]
[ROW][C]132[/C][C]16[/C][C]13.4886[/C][C]2.5114[/C][/ROW]
[ROW][C]133[/C][C]12[/C][C]13.9054[/C][C]-1.9054[/C][/ROW]
[ROW][C]134[/C][C]14[/C][C]15.6349[/C][C]-1.63488[/C][/ROW]
[ROW][C]135[/C][C]15[/C][C]14.909[/C][C]0.0909861[/C][/ROW]
[ROW][C]136[/C][C]13[/C][C]11.6946[/C][C]1.30542[/C][/ROW]
[ROW][C]137[/C][C]15[/C][C]14.4741[/C][C]0.525926[/C][/ROW]
[ROW][C]138[/C][C]11[/C][C]13.4795[/C][C]-2.47954[/C][/ROW]
[ROW][C]139[/C][C]12[/C][C]12.9221[/C][C]-0.922107[/C][/ROW]
[ROW][C]140[/C][C]11[/C][C]13.3731[/C][C]-2.37305[/C][/ROW]
[ROW][C]141[/C][C]16[/C][C]12.8058[/C][C]3.19419[/C][/ROW]
[ROW][C]142[/C][C]15[/C][C]13.3361[/C][C]1.6639[/C][/ROW]
[ROW][C]143[/C][C]17[/C][C]17.0849[/C][C]-0.0848621[/C][/ROW]
[ROW][C]144[/C][C]16[/C][C]14.1267[/C][C]1.87329[/C][/ROW]
[ROW][C]145[/C][C]10[/C][C]13.197[/C][C]-3.19704[/C][/ROW]
[ROW][C]146[/C][C]18[/C][C]15.5427[/C][C]2.45725[/C][/ROW]
[ROW][C]147[/C][C]13[/C][C]15.3243[/C][C]-2.3243[/C][/ROW]
[ROW][C]148[/C][C]16[/C][C]15.181[/C][C]0.818992[/C][/ROW]
[ROW][C]149[/C][C]13[/C][C]12.8763[/C][C]0.123667[/C][/ROW]
[ROW][C]150[/C][C]10[/C][C]12.7236[/C][C]-2.7236[/C][/ROW]
[ROW][C]151[/C][C]15[/C][C]16.1275[/C][C]-1.12747[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]13.9158[/C][C]2.08423[/C][/ROW]
[ROW][C]153[/C][C]16[/C][C]11.9002[/C][C]4.09978[/C][/ROW]
[ROW][C]154[/C][C]14[/C][C]12.4804[/C][C]1.51964[/C][/ROW]
[ROW][C]155[/C][C]10[/C][C]12.1975[/C][C]-2.19753[/C][/ROW]
[ROW][C]156[/C][C]17[/C][C]16.8211[/C][C]0.178923[/C][/ROW]
[ROW][C]157[/C][C]13[/C][C]11.4789[/C][C]1.52112[/C][/ROW]
[ROW][C]158[/C][C]15[/C][C]13.5873[/C][C]1.41274[/C][/ROW]
[ROW][C]159[/C][C]16[/C][C]14.9285[/C][C]1.07148[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]12.5704[/C][C]-0.570419[/C][/ROW]
[ROW][C]161[/C][C]13[/C][C]12.5538[/C][C]0.446244[/C][/ROW]
[ROW][C]162[/C][C]13[/C][C]12.3856[/C][C]0.614424[/C][/ROW]
[ROW][C]163[/C][C]12[/C][C]12.3111[/C][C]-0.31114[/C][/ROW]
[ROW][C]164[/C][C]17[/C][C]16.1384[/C][C]0.861597[/C][/ROW]
[ROW][C]165[/C][C]15[/C][C]13.8575[/C][C]1.14247[/C][/ROW]
[ROW][C]166[/C][C]10[/C][C]11.2339[/C][C]-1.23386[/C][/ROW]
[ROW][C]167[/C][C]14[/C][C]14.4953[/C][C]-0.495349[/C][/ROW]
[ROW][C]168[/C][C]11[/C][C]14.4124[/C][C]-3.41242[/C][/ROW]
[ROW][C]169[/C][C]13[/C][C]15.2438[/C][C]-2.24384[/C][/ROW]
[ROW][C]170[/C][C]16[/C][C]14.7073[/C][C]1.29274[/C][/ROW]
[ROW][C]171[/C][C]12[/C][C]10.3027[/C][C]1.69732[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]15.5434[/C][C]0.456627[/C][/ROW]
[ROW][C]173[/C][C]12[/C][C]14.5221[/C][C]-2.52207[/C][/ROW]
[ROW][C]174[/C][C]9[/C][C]11.1613[/C][C]-2.16127[/C][/ROW]
[ROW][C]175[/C][C]12[/C][C]15.0745[/C][C]-3.07451[/C][/ROW]
[ROW][C]176[/C][C]15[/C][C]14.9807[/C][C]0.0193205[/C][/ROW]
[ROW][C]177[/C][C]12[/C][C]12.6041[/C][C]-0.60405[/C][/ROW]
[ROW][C]178[/C][C]12[/C][C]12.6417[/C][C]-0.641659[/C][/ROW]
[ROW][C]179[/C][C]14[/C][C]13.9344[/C][C]0.0656318[/C][/ROW]
[ROW][C]180[/C][C]12[/C][C]13.7126[/C][C]-1.71264[/C][/ROW]
[ROW][C]181[/C][C]16[/C][C]15.4645[/C][C]0.535524[/C][/ROW]
[ROW][C]182[/C][C]11[/C][C]11.7092[/C][C]-0.709186[/C][/ROW]
[ROW][C]183[/C][C]19[/C][C]17.141[/C][C]1.85904[/C][/ROW]
[ROW][C]184[/C][C]15[/C][C]15.6439[/C][C]-0.64392[/C][/ROW]
[ROW][C]185[/C][C]8[/C][C]14.6433[/C][C]-6.64333[/C][/ROW]
[ROW][C]186[/C][C]16[/C][C]14.8289[/C][C]1.17108[/C][/ROW]
[ROW][C]187[/C][C]17[/C][C]14.6948[/C][C]2.30524[/C][/ROW]
[ROW][C]188[/C][C]12[/C][C]12.475[/C][C]-0.474971[/C][/ROW]
[ROW][C]189[/C][C]11[/C][C]11.4774[/C][C]-0.477384[/C][/ROW]
[ROW][C]190[/C][C]11[/C][C]10.2137[/C][C]0.786312[/C][/ROW]
[ROW][C]191[/C][C]14[/C][C]15.2225[/C][C]-1.22252[/C][/ROW]
[ROW][C]192[/C][C]16[/C][C]15.9765[/C][C]0.0234974[/C][/ROW]
[ROW][C]193[/C][C]12[/C][C]9.40379[/C][C]2.59621[/C][/ROW]
[ROW][C]194[/C][C]16[/C][C]14.4551[/C][C]1.54493[/C][/ROW]
[ROW][C]195[/C][C]13[/C][C]13.7488[/C][C]-0.748764[/C][/ROW]
[ROW][C]196[/C][C]15[/C][C]15.6022[/C][C]-0.6022[/C][/ROW]
[ROW][C]197[/C][C]16[/C][C]12.8502[/C][C]3.14981[/C][/ROW]
[ROW][C]198[/C][C]16[/C][C]15.2615[/C][C]0.738526[/C][/ROW]
[ROW][C]199[/C][C]14[/C][C]12.7921[/C][C]1.20785[/C][/ROW]
[ROW][C]200[/C][C]16[/C][C]14.8444[/C][C]1.15557[/C][/ROW]
[ROW][C]201[/C][C]16[/C][C]14.5087[/C][C]1.4913[/C][/ROW]
[ROW][C]202[/C][C]14[/C][C]13.445[/C][C]0.554982[/C][/ROW]
[ROW][C]203[/C][C]11[/C][C]13.5061[/C][C]-2.50607[/C][/ROW]
[ROW][C]204[/C][C]12[/C][C]14.9263[/C][C]-2.92631[/C][/ROW]
[ROW][C]205[/C][C]15[/C][C]12.907[/C][C]2.09296[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]14.7276[/C][C]0.272368[/C][/ROW]
[ROW][C]207[/C][C]16[/C][C]14.9105[/C][C]1.08949[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]15.1063[/C][C]0.893715[/C][/ROW]
[ROW][C]209[/C][C]11[/C][C]13.9538[/C][C]-2.95384[/C][/ROW]
[ROW][C]210[/C][C]15[/C][C]14.1429[/C][C]0.85712[/C][/ROW]
[ROW][C]211[/C][C]12[/C][C]14.8189[/C][C]-2.81888[/C][/ROW]
[ROW][C]212[/C][C]12[/C][C]16.2159[/C][C]-4.2159[/C][/ROW]
[ROW][C]213[/C][C]15[/C][C]14.4364[/C][C]0.563558[/C][/ROW]
[ROW][C]214[/C][C]15[/C][C]12.5333[/C][C]2.46671[/C][/ROW]
[ROW][C]215[/C][C]16[/C][C]15.0047[/C][C]0.995302[/C][/ROW]
[ROW][C]216[/C][C]14[/C][C]13.2612[/C][C]0.738792[/C][/ROW]
[ROW][C]217[/C][C]17[/C][C]14.8548[/C][C]2.14523[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]14.3793[/C][C]-0.379288[/C][/ROW]
[ROW][C]219[/C][C]13[/C][C]12.1795[/C][C]0.820461[/C][/ROW]
[ROW][C]220[/C][C]15[/C][C]15.5058[/C][C]-0.50578[/C][/ROW]
[ROW][C]221[/C][C]13[/C][C]15.3534[/C][C]-2.35338[/C][/ROW]
[ROW][C]222[/C][C]14[/C][C]14.3582[/C][C]-0.358247[/C][/ROW]
[ROW][C]223[/C][C]15[/C][C]14.792[/C][C]0.207983[/C][/ROW]
[ROW][C]224[/C][C]12[/C][C]13.4742[/C][C]-1.47415[/C][/ROW]
[ROW][C]225[/C][C]13[/C][C]12.859[/C][C]0.140981[/C][/ROW]
[ROW][C]226[/C][C]8[/C][C]11.8447[/C][C]-3.84469[/C][/ROW]
[ROW][C]227[/C][C]14[/C][C]13.8197[/C][C]0.180323[/C][/ROW]
[ROW][C]228[/C][C]14[/C][C]13.4463[/C][C]0.553705[/C][/ROW]
[ROW][C]229[/C][C]11[/C][C]12.5122[/C][C]-1.51224[/C][/ROW]
[ROW][C]230[/C][C]12[/C][C]13.4243[/C][C]-1.42434[/C][/ROW]
[ROW][C]231[/C][C]13[/C][C]11.4605[/C][C]1.5395[/C][/ROW]
[ROW][C]232[/C][C]10[/C][C]13.8198[/C][C]-3.81981[/C][/ROW]
[ROW][C]233[/C][C]16[/C][C]11.6718[/C][C]4.32815[/C][/ROW]
[ROW][C]234[/C][C]18[/C][C]16.4185[/C][C]1.5815[/C][/ROW]
[ROW][C]235[/C][C]13[/C][C]14.234[/C][C]-1.23397[/C][/ROW]
[ROW][C]236[/C][C]11[/C][C]13.8839[/C][C]-2.88394[/C][/ROW]
[ROW][C]237[/C][C]4[/C][C]11.1831[/C][C]-7.18313[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]14.8513[/C][C]-1.85126[/C][/ROW]
[ROW][C]239[/C][C]16[/C][C]15.0358[/C][C]0.964165[/C][/ROW]
[ROW][C]240[/C][C]10[/C][C]12.22[/C][C]-2.21995[/C][/ROW]
[ROW][C]241[/C][C]12[/C][C]12.7017[/C][C]-0.701724[/C][/ROW]
[ROW][C]242[/C][C]12[/C][C]14.1046[/C][C]-2.1046[/C][/ROW]
[ROW][C]243[/C][C]10[/C][C]8.84956[/C][C]1.15044[/C][/ROW]
[ROW][C]244[/C][C]13[/C][C]11.2972[/C][C]1.70279[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]13.9625[/C][C]1.0375[/C][/ROW]
[ROW][C]246[/C][C]12[/C][C]12.0246[/C][C]-0.0246092[/C][/ROW]
[ROW][C]247[/C][C]14[/C][C]13.1384[/C][C]0.861641[/C][/ROW]
[ROW][C]248[/C][C]10[/C][C]12.4206[/C][C]-2.42062[/C][/ROW]
[ROW][C]249[/C][C]12[/C][C]10.8136[/C][C]1.18638[/C][/ROW]
[ROW][C]250[/C][C]12[/C][C]11.8436[/C][C]0.156376[/C][/ROW]
[ROW][C]251[/C][C]11[/C][C]11.947[/C][C]-0.947011[/C][/ROW]
[ROW][C]252[/C][C]10[/C][C]11.7732[/C][C]-1.77324[/C][/ROW]
[ROW][C]253[/C][C]12[/C][C]11.7924[/C][C]0.207598[/C][/ROW]
[ROW][C]254[/C][C]16[/C][C]13.2444[/C][C]2.75557[/C][/ROW]
[ROW][C]255[/C][C]12[/C][C]13.7366[/C][C]-1.73657[/C][/ROW]
[ROW][C]256[/C][C]14[/C][C]14.3593[/C][C]-0.359319[/C][/ROW]
[ROW][C]257[/C][C]16[/C][C]14.8639[/C][C]1.13607[/C][/ROW]
[ROW][C]258[/C][C]14[/C][C]12.064[/C][C]1.93604[/C][/ROW]
[ROW][C]259[/C][C]13[/C][C]14.5832[/C][C]-1.58318[/C][/ROW]
[ROW][C]260[/C][C]4[/C][C]10.0256[/C][C]-6.02559[/C][/ROW]
[ROW][C]261[/C][C]15[/C][C]14.1554[/C][C]0.844555[/C][/ROW]
[ROW][C]262[/C][C]11[/C][C]15.4737[/C][C]-4.47373[/C][/ROW]
[ROW][C]263[/C][C]11[/C][C]11.77[/C][C]-0.769978[/C][/ROW]
[ROW][C]264[/C][C]14[/C][C]13.1611[/C][C]0.838907[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253143&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253143&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
11315.718-2.71801
21615.00050.99951
31916.78342.21658
41511.4123.58799
51415.3943-1.39426
61313.9687-0.968681
71914.45544.54456
81516.7554-1.75536
91415.6278-1.62783
101513.7331.267
111614.33961.66045
121615.61010.389865
131615.27190.728093
141614.85151.14849
151717.4899-0.489858
161514.9220.0779665
171513.97681.02319
182015.85854.14149
191815.19222.80781
201614.93941.06061
211614.70571.29429
221614.81681.18315
231916.23372.76629
241614.76261.23736
251715.64711.3529
261716.49830.501665
271614.39071.6093
281516.3415-1.34152
291615.15130.848732
301413.88380.116224
311515.3197-0.319662
321212.0874-0.087392
331414.2596-0.259557
341615.55320.446783
351415.1315-1.13149
361012.4001-2.4001
371012.4493-2.44934
381415.3698-1.36981
391613.90192.09812
401614.23271.76733
411614.39661.60344
421415.167-1.16697
432017.46142.53864
441413.82630.173739
451414.084-0.0839835
461115.4291-4.42906
471416.4742-2.47416
481514.74660.25336
491614.80821.1918
501415.5341-1.53406
511616.7741-0.774053
521413.64650.35346
531214.6783-2.67832
541615.74670.253311
55910.8998-1.89976
561411.64562.35443
571615.4980.502015
581615.25490.745091
591515.1239-0.123926
601613.88812.1119
611211.05880.94118
621615.57690.423119
631616.6514-0.651401
641414.3318-0.33178
651614.99451.00551
661716.2340.76597
671816.22971.77025
681814.27043.72961
691215.6946-3.69458
701615.32360.67644
711012.9821-2.9821
721414.384-0.383963
731816.76451.23551
741817.21510.784859
751615.18670.813342
761713.05013.9499
771616.1118-0.111803
781614.13361.86638
791314.8473-1.84727
801615.2770.723019
811615.5140.48603
821615.69350.306522
831515.452-0.451965
841514.60440.395633
851613.86392.1361
861413.84270.157343
871615.25070.749304
881614.63911.36086
891514.43150.568545
901213.3205-1.32049
911716.82110.178923
921615.64040.359609
931514.82320.176804
941314.9414-1.94141
951614.5791.42101
961615.77550.224481
971613.53672.46332
981615.62130.378708
991414.2655-0.265531
1001617.0293-1.02934
1011614.58111.41892
1022017.46472.53531
1031514.35490.645066
1041614.62611.37391
1051314.9626-1.96257
1061715.64711.35292
1071615.56430.435712
1081614.49731.50273
1091211.90840.0916409
1101615.0460.954022
1111616.1536-0.153603
1121715.06581.93418
1131314.3234-1.32344
1141214.2502-2.25018
1151816.22361.77637
1161415.8731-1.87309
1171412.9611.03898
1181314.9132-1.91324
1191615.47770.52227
1201314.438-1.43798
1211615.3560.644022
1221315.9187-2.91869
1231617.1885-1.18851
1241515.9732-0.97323
1251617.1096-1.10965
1261514.66820.331784
1271715.59531.40474
1281513.58731.41274
1291214.6296-2.6296
1301614.04231.95771
1311013.6701-3.67012
1321613.48862.5114
1331213.9054-1.9054
1341415.6349-1.63488
1351514.9090.0909861
1361311.69461.30542
1371514.47410.525926
1381113.4795-2.47954
1391212.9221-0.922107
1401113.3731-2.37305
1411612.80583.19419
1421513.33611.6639
1431717.0849-0.0848621
1441614.12671.87329
1451013.197-3.19704
1461815.54272.45725
1471315.3243-2.3243
1481615.1810.818992
1491312.87630.123667
1501012.7236-2.7236
1511516.1275-1.12747
1521613.91582.08423
1531611.90024.09978
1541412.48041.51964
1551012.1975-2.19753
1561716.82110.178923
1571311.47891.52112
1581513.58731.41274
1591614.92851.07148
1601212.5704-0.570419
1611312.55380.446244
1621312.38560.614424
1631212.3111-0.31114
1641716.13840.861597
1651513.85751.14247
1661011.2339-1.23386
1671414.4953-0.495349
1681114.4124-3.41242
1691315.2438-2.24384
1701614.70731.29274
1711210.30271.69732
1721615.54340.456627
1731214.5221-2.52207
174911.1613-2.16127
1751215.0745-3.07451
1761514.98070.0193205
1771212.6041-0.60405
1781212.6417-0.641659
1791413.93440.0656318
1801213.7126-1.71264
1811615.46450.535524
1821111.7092-0.709186
1831917.1411.85904
1841515.6439-0.64392
185814.6433-6.64333
1861614.82891.17108
1871714.69482.30524
1881212.475-0.474971
1891111.4774-0.477384
1901110.21370.786312
1911415.2225-1.22252
1921615.97650.0234974
193129.403792.59621
1941614.45511.54493
1951313.7488-0.748764
1961515.6022-0.6022
1971612.85023.14981
1981615.26150.738526
1991412.79211.20785
2001614.84441.15557
2011614.50871.4913
2021413.4450.554982
2031113.5061-2.50607
2041214.9263-2.92631
2051512.9072.09296
2061514.72760.272368
2071614.91051.08949
2081615.10630.893715
2091113.9538-2.95384
2101514.14290.85712
2111214.8189-2.81888
2121216.2159-4.2159
2131514.43640.563558
2141512.53332.46671
2151615.00470.995302
2161413.26120.738792
2171714.85482.14523
2181414.3793-0.379288
2191312.17950.820461
2201515.5058-0.50578
2211315.3534-2.35338
2221414.3582-0.358247
2231514.7920.207983
2241213.4742-1.47415
2251312.8590.140981
226811.8447-3.84469
2271413.81970.180323
2281413.44630.553705
2291112.5122-1.51224
2301213.4243-1.42434
2311311.46051.5395
2321013.8198-3.81981
2331611.67184.32815
2341816.41851.5815
2351314.234-1.23397
2361113.8839-2.88394
237411.1831-7.18313
2381314.8513-1.85126
2391615.03580.964165
2401012.22-2.21995
2411212.7017-0.701724
2421214.1046-2.1046
243108.849561.15044
2441311.29721.70279
2451513.96251.0375
2461212.0246-0.0246092
2471413.13840.861641
2481012.4206-2.42062
2491210.81361.18638
2501211.84360.156376
2511111.947-0.947011
2521011.7732-1.77324
2531211.79240.207598
2541613.24442.75557
2551213.7366-1.73657
2561414.3593-0.359319
2571614.86391.13607
2581412.0641.93604
2591314.5832-1.58318
260410.0256-6.02559
2611514.15540.844555
2621115.4737-4.47373
2631111.77-0.769978
2641413.16110.838907






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.2202950.4405890.779705
110.1143780.2287560.885622
120.08103520.162070.918965
130.03979950.07959890.960201
140.06416050.1283210.93584
150.04309140.08618280.956909
160.02898450.05796910.971015
170.03708220.07416440.962918
180.200450.4008990.79955
190.1500390.3000780.849961
200.103720.207440.89628
210.07076470.1415290.929235
220.08108280.1621660.918917
230.2056130.4112260.794387
240.2639260.5278530.736074
250.2385830.4771650.761417
260.2249580.4499160.775042
270.2942520.5885040.705748
280.3063360.6126710.693664
290.2924650.584930.707535
300.3187510.6375020.681249
310.271210.5424210.72879
320.2362070.4724130.763793
330.21320.4263990.7868
340.1819030.3638060.818097
350.1486120.2972230.851388
360.2542430.5084850.745757
370.283610.5672190.71639
380.2754840.5509690.724516
390.3089510.6179030.691049
400.2854720.5709430.714528
410.2518580.5037150.748142
420.2194790.4389570.780521
430.233920.467840.76608
440.196450.39290.80355
450.177140.3542810.82286
460.3667370.7334730.633263
470.5204920.9590160.479508
480.4719730.9439450.528027
490.4729280.9458550.527072
500.470430.940860.52957
510.4253460.8506910.574654
520.3804580.7609160.619542
530.4000960.8001910.599904
540.3883980.7767960.611602
550.3945280.7890570.605472
560.3784340.7568680.621566
570.3371620.6743250.662838
580.3073740.6147490.692626
590.2690710.5381420.730929
600.2655950.5311890.734405
610.2347760.4695520.765224
620.2039870.4079750.796013
630.1752870.3505730.824713
640.1486880.2973750.851312
650.1312370.2624750.868763
660.113270.2265410.88673
670.1056690.2113380.894331
680.2059580.4119150.794042
690.2864740.5729470.713526
700.2586230.5172460.741377
710.3700890.7401780.629911
720.3326330.6652670.667367
730.3257910.6515820.674209
740.3099760.6199510.690024
750.2781060.5562130.721894
760.3412090.6824180.658791
770.3056150.611230.694385
780.2870490.5740970.712951
790.2958670.5917350.704133
800.2679880.5359760.732012
810.2415080.4830160.758492
820.2124370.4248750.787563
830.1888520.3777040.811148
840.1641560.3283120.835844
850.1613570.3227130.838643
860.1386610.2773220.861339
870.1211490.2422980.878851
880.1129720.2259440.887028
890.09634890.1926980.903651
900.09060610.1812120.909394
910.07694130.1538830.923059
920.06603810.1320760.933962
930.05565270.1113050.944347
940.058140.116280.94186
950.0529350.105870.947065
960.04406170.08812340.955938
970.04822770.09645550.951772
980.03988640.07977280.960114
990.03246470.06492940.967535
1000.0278930.0557860.972107
1010.02440610.04881210.975594
1020.02971460.05942910.970285
1030.02476040.04952080.97524
1040.02276130.04552270.977239
1050.02866310.05732620.971337
1060.02550860.05101720.974491
1070.02082710.04165410.979173
1080.01962790.03925590.980372
1090.01587190.03174390.984128
1100.013060.02611990.98694
1110.0102860.0205720.989714
1120.01013170.02026330.989868
1130.008765650.01753130.991234
1140.01161270.02322540.988387
1150.01119170.02238330.988808
1160.01046390.02092790.989536
1170.008616230.01723250.991384
1180.008785320.01757060.991215
1190.007126560.01425310.992873
1200.006287230.01257450.993713
1210.005088270.01017650.994912
1220.007991520.0159830.992008
1230.006757950.01351590.993242
1240.005952080.01190420.994048
1250.004917320.009834640.995083
1260.004005170.008010340.995995
1270.003753590.007507180.996246
1280.003199620.006399240.9968
1290.004580610.009161210.995419
1300.004800090.009600190.9952
1310.0109550.02190990.989045
1320.01330750.0266150.986693
1330.01367220.02734440.986328
1340.01304720.02609450.986953
1350.01065580.02131160.989344
1360.009111650.01822330.990888
1370.007289430.01457890.992711
1380.009209510.0184190.99079
1390.007937170.01587430.992063
1400.009251960.01850390.990748
1410.01484560.02969120.985154
1420.01395290.02790570.986047
1430.01106660.02213320.988933
1440.01195870.02391740.988041
1450.02246060.04492130.977539
1460.02901210.05802410.970988
1470.03207870.06415750.967921
1480.02813570.05627150.971864
1490.02334580.04669160.976654
1500.03095110.06190210.969049
1510.02663210.05326410.973368
1520.02860460.05720910.971395
1530.05503870.1100770.944961
1540.0521220.1042440.947878
1550.05896550.1179310.941035
1560.05015880.1003180.949841
1570.04521170.09042350.954788
1580.04192530.08385050.958075
1590.03940280.07880560.960597
1600.0333750.06675010.966625
1610.02752960.05505920.97247
1620.02256610.04513220.977434
1630.01875820.03751650.981242
1640.01693070.03386140.983069
1650.01458610.02917210.985414
1660.01419190.02838390.985808
1670.01135440.02270880.988646
1680.01761660.03523330.982383
1690.01883940.03767870.981161
1700.01716630.03433260.982834
1710.01682950.03365910.98317
1720.01383930.02767850.986161
1730.01518020.03036040.98482
1740.01635160.03270330.983648
1750.0205140.0410280.979486
1760.01633780.03267550.983662
1770.01334120.02668230.986659
1780.01080590.02161190.989194
1790.008498080.01699620.991502
1800.007688650.01537730.992311
1810.006324120.01264820.993676
1820.005122620.01024520.994877
1830.00544210.01088420.994558
1840.004299730.008599470.9957
1850.07935830.1587170.920642
1860.06898930.1379790.931011
1870.08096070.1619210.919039
1880.07034040.1406810.92966
1890.05913990.118280.94086
1900.04920070.09840150.950799
1910.0455670.09113390.954433
1920.03790170.07580330.962098
1930.04892270.09784540.951077
1940.05083130.1016630.949169
1950.04230270.08460550.957697
1960.03483720.06967440.965163
1970.05184650.1036930.948153
1980.04297410.08594810.957026
1990.03825410.07650830.961746
2000.0323490.06469790.967651
2010.02891680.05783360.971083
2020.02388440.04776870.976116
2030.02708390.05416790.972916
2040.03192180.06384360.968078
2050.03609390.07218780.963906
2060.02892420.05784840.971076
2070.02851370.05702730.971486
2080.02451920.04903830.975481
2090.02747210.05494410.972528
2100.02323940.04647870.976761
2110.02827280.05654570.971727
2120.04306940.08613880.956931
2130.03424440.06848880.965756
2140.04262050.0852410.95738
2150.03614660.07229310.963853
2160.02876040.05752080.97124
2170.0352460.07049190.964754
2180.03080970.06161940.96919
2190.02706020.05412030.97294
2200.02128420.04256840.978716
2210.02004660.04009310.979953
2220.01487070.02974150.985129
2230.01112780.02225570.988872
2240.008991420.01798280.991009
2250.008206050.01641210.991794
2260.01600970.03201940.98399
2270.01158680.02317350.988413
2280.008621180.01724240.991379
2290.006428310.01285660.993572
2300.004882990.009765970.995117
2310.005167750.01033550.994832
2320.01135220.02270450.988648
2330.05066750.1013350.949333
2340.07214230.1442850.927858
2350.054930.109860.94507
2360.04998480.09996960.950015
2370.3003280.6006550.699672
2380.2502980.5005960.749702
2390.218330.436660.78167
2400.1787650.357530.821235
2410.1485690.2971380.851431
2420.1309740.2619480.869026
2430.1226010.2452020.877399
2440.2013520.4027050.798648
2450.1674310.3348620.832569
2460.1401370.2802740.859863
2470.1018230.2036460.898177
2480.1018830.2037670.898117
2490.09903520.198070.900965
2500.1231560.2463120.876844
2510.08050890.1610180.919491
2520.06952890.1390580.930471
2530.2424460.4848910.757554
2540.8029990.3940010.197001

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.220295 & 0.440589 & 0.779705 \tabularnewline
11 & 0.114378 & 0.228756 & 0.885622 \tabularnewline
12 & 0.0810352 & 0.16207 & 0.918965 \tabularnewline
13 & 0.0397995 & 0.0795989 & 0.960201 \tabularnewline
14 & 0.0641605 & 0.128321 & 0.93584 \tabularnewline
15 & 0.0430914 & 0.0861828 & 0.956909 \tabularnewline
16 & 0.0289845 & 0.0579691 & 0.971015 \tabularnewline
17 & 0.0370822 & 0.0741644 & 0.962918 \tabularnewline
18 & 0.20045 & 0.400899 & 0.79955 \tabularnewline
19 & 0.150039 & 0.300078 & 0.849961 \tabularnewline
20 & 0.10372 & 0.20744 & 0.89628 \tabularnewline
21 & 0.0707647 & 0.141529 & 0.929235 \tabularnewline
22 & 0.0810828 & 0.162166 & 0.918917 \tabularnewline
23 & 0.205613 & 0.411226 & 0.794387 \tabularnewline
24 & 0.263926 & 0.527853 & 0.736074 \tabularnewline
25 & 0.238583 & 0.477165 & 0.761417 \tabularnewline
26 & 0.224958 & 0.449916 & 0.775042 \tabularnewline
27 & 0.294252 & 0.588504 & 0.705748 \tabularnewline
28 & 0.306336 & 0.612671 & 0.693664 \tabularnewline
29 & 0.292465 & 0.58493 & 0.707535 \tabularnewline
30 & 0.318751 & 0.637502 & 0.681249 \tabularnewline
31 & 0.27121 & 0.542421 & 0.72879 \tabularnewline
32 & 0.236207 & 0.472413 & 0.763793 \tabularnewline
33 & 0.2132 & 0.426399 & 0.7868 \tabularnewline
34 & 0.181903 & 0.363806 & 0.818097 \tabularnewline
35 & 0.148612 & 0.297223 & 0.851388 \tabularnewline
36 & 0.254243 & 0.508485 & 0.745757 \tabularnewline
37 & 0.28361 & 0.567219 & 0.71639 \tabularnewline
38 & 0.275484 & 0.550969 & 0.724516 \tabularnewline
39 & 0.308951 & 0.617903 & 0.691049 \tabularnewline
40 & 0.285472 & 0.570943 & 0.714528 \tabularnewline
41 & 0.251858 & 0.503715 & 0.748142 \tabularnewline
42 & 0.219479 & 0.438957 & 0.780521 \tabularnewline
43 & 0.23392 & 0.46784 & 0.76608 \tabularnewline
44 & 0.19645 & 0.3929 & 0.80355 \tabularnewline
45 & 0.17714 & 0.354281 & 0.82286 \tabularnewline
46 & 0.366737 & 0.733473 & 0.633263 \tabularnewline
47 & 0.520492 & 0.959016 & 0.479508 \tabularnewline
48 & 0.471973 & 0.943945 & 0.528027 \tabularnewline
49 & 0.472928 & 0.945855 & 0.527072 \tabularnewline
50 & 0.47043 & 0.94086 & 0.52957 \tabularnewline
51 & 0.425346 & 0.850691 & 0.574654 \tabularnewline
52 & 0.380458 & 0.760916 & 0.619542 \tabularnewline
53 & 0.400096 & 0.800191 & 0.599904 \tabularnewline
54 & 0.388398 & 0.776796 & 0.611602 \tabularnewline
55 & 0.394528 & 0.789057 & 0.605472 \tabularnewline
56 & 0.378434 & 0.756868 & 0.621566 \tabularnewline
57 & 0.337162 & 0.674325 & 0.662838 \tabularnewline
58 & 0.307374 & 0.614749 & 0.692626 \tabularnewline
59 & 0.269071 & 0.538142 & 0.730929 \tabularnewline
60 & 0.265595 & 0.531189 & 0.734405 \tabularnewline
61 & 0.234776 & 0.469552 & 0.765224 \tabularnewline
62 & 0.203987 & 0.407975 & 0.796013 \tabularnewline
63 & 0.175287 & 0.350573 & 0.824713 \tabularnewline
64 & 0.148688 & 0.297375 & 0.851312 \tabularnewline
65 & 0.131237 & 0.262475 & 0.868763 \tabularnewline
66 & 0.11327 & 0.226541 & 0.88673 \tabularnewline
67 & 0.105669 & 0.211338 & 0.894331 \tabularnewline
68 & 0.205958 & 0.411915 & 0.794042 \tabularnewline
69 & 0.286474 & 0.572947 & 0.713526 \tabularnewline
70 & 0.258623 & 0.517246 & 0.741377 \tabularnewline
71 & 0.370089 & 0.740178 & 0.629911 \tabularnewline
72 & 0.332633 & 0.665267 & 0.667367 \tabularnewline
73 & 0.325791 & 0.651582 & 0.674209 \tabularnewline
74 & 0.309976 & 0.619951 & 0.690024 \tabularnewline
75 & 0.278106 & 0.556213 & 0.721894 \tabularnewline
76 & 0.341209 & 0.682418 & 0.658791 \tabularnewline
77 & 0.305615 & 0.61123 & 0.694385 \tabularnewline
78 & 0.287049 & 0.574097 & 0.712951 \tabularnewline
79 & 0.295867 & 0.591735 & 0.704133 \tabularnewline
80 & 0.267988 & 0.535976 & 0.732012 \tabularnewline
81 & 0.241508 & 0.483016 & 0.758492 \tabularnewline
82 & 0.212437 & 0.424875 & 0.787563 \tabularnewline
83 & 0.188852 & 0.377704 & 0.811148 \tabularnewline
84 & 0.164156 & 0.328312 & 0.835844 \tabularnewline
85 & 0.161357 & 0.322713 & 0.838643 \tabularnewline
86 & 0.138661 & 0.277322 & 0.861339 \tabularnewline
87 & 0.121149 & 0.242298 & 0.878851 \tabularnewline
88 & 0.112972 & 0.225944 & 0.887028 \tabularnewline
89 & 0.0963489 & 0.192698 & 0.903651 \tabularnewline
90 & 0.0906061 & 0.181212 & 0.909394 \tabularnewline
91 & 0.0769413 & 0.153883 & 0.923059 \tabularnewline
92 & 0.0660381 & 0.132076 & 0.933962 \tabularnewline
93 & 0.0556527 & 0.111305 & 0.944347 \tabularnewline
94 & 0.05814 & 0.11628 & 0.94186 \tabularnewline
95 & 0.052935 & 0.10587 & 0.947065 \tabularnewline
96 & 0.0440617 & 0.0881234 & 0.955938 \tabularnewline
97 & 0.0482277 & 0.0964555 & 0.951772 \tabularnewline
98 & 0.0398864 & 0.0797728 & 0.960114 \tabularnewline
99 & 0.0324647 & 0.0649294 & 0.967535 \tabularnewline
100 & 0.027893 & 0.055786 & 0.972107 \tabularnewline
101 & 0.0244061 & 0.0488121 & 0.975594 \tabularnewline
102 & 0.0297146 & 0.0594291 & 0.970285 \tabularnewline
103 & 0.0247604 & 0.0495208 & 0.97524 \tabularnewline
104 & 0.0227613 & 0.0455227 & 0.977239 \tabularnewline
105 & 0.0286631 & 0.0573262 & 0.971337 \tabularnewline
106 & 0.0255086 & 0.0510172 & 0.974491 \tabularnewline
107 & 0.0208271 & 0.0416541 & 0.979173 \tabularnewline
108 & 0.0196279 & 0.0392559 & 0.980372 \tabularnewline
109 & 0.0158719 & 0.0317439 & 0.984128 \tabularnewline
110 & 0.01306 & 0.0261199 & 0.98694 \tabularnewline
111 & 0.010286 & 0.020572 & 0.989714 \tabularnewline
112 & 0.0101317 & 0.0202633 & 0.989868 \tabularnewline
113 & 0.00876565 & 0.0175313 & 0.991234 \tabularnewline
114 & 0.0116127 & 0.0232254 & 0.988387 \tabularnewline
115 & 0.0111917 & 0.0223833 & 0.988808 \tabularnewline
116 & 0.0104639 & 0.0209279 & 0.989536 \tabularnewline
117 & 0.00861623 & 0.0172325 & 0.991384 \tabularnewline
118 & 0.00878532 & 0.0175706 & 0.991215 \tabularnewline
119 & 0.00712656 & 0.0142531 & 0.992873 \tabularnewline
120 & 0.00628723 & 0.0125745 & 0.993713 \tabularnewline
121 & 0.00508827 & 0.0101765 & 0.994912 \tabularnewline
122 & 0.00799152 & 0.015983 & 0.992008 \tabularnewline
123 & 0.00675795 & 0.0135159 & 0.993242 \tabularnewline
124 & 0.00595208 & 0.0119042 & 0.994048 \tabularnewline
125 & 0.00491732 & 0.00983464 & 0.995083 \tabularnewline
126 & 0.00400517 & 0.00801034 & 0.995995 \tabularnewline
127 & 0.00375359 & 0.00750718 & 0.996246 \tabularnewline
128 & 0.00319962 & 0.00639924 & 0.9968 \tabularnewline
129 & 0.00458061 & 0.00916121 & 0.995419 \tabularnewline
130 & 0.00480009 & 0.00960019 & 0.9952 \tabularnewline
131 & 0.010955 & 0.0219099 & 0.989045 \tabularnewline
132 & 0.0133075 & 0.026615 & 0.986693 \tabularnewline
133 & 0.0136722 & 0.0273444 & 0.986328 \tabularnewline
134 & 0.0130472 & 0.0260945 & 0.986953 \tabularnewline
135 & 0.0106558 & 0.0213116 & 0.989344 \tabularnewline
136 & 0.00911165 & 0.0182233 & 0.990888 \tabularnewline
137 & 0.00728943 & 0.0145789 & 0.992711 \tabularnewline
138 & 0.00920951 & 0.018419 & 0.99079 \tabularnewline
139 & 0.00793717 & 0.0158743 & 0.992063 \tabularnewline
140 & 0.00925196 & 0.0185039 & 0.990748 \tabularnewline
141 & 0.0148456 & 0.0296912 & 0.985154 \tabularnewline
142 & 0.0139529 & 0.0279057 & 0.986047 \tabularnewline
143 & 0.0110666 & 0.0221332 & 0.988933 \tabularnewline
144 & 0.0119587 & 0.0239174 & 0.988041 \tabularnewline
145 & 0.0224606 & 0.0449213 & 0.977539 \tabularnewline
146 & 0.0290121 & 0.0580241 & 0.970988 \tabularnewline
147 & 0.0320787 & 0.0641575 & 0.967921 \tabularnewline
148 & 0.0281357 & 0.0562715 & 0.971864 \tabularnewline
149 & 0.0233458 & 0.0466916 & 0.976654 \tabularnewline
150 & 0.0309511 & 0.0619021 & 0.969049 \tabularnewline
151 & 0.0266321 & 0.0532641 & 0.973368 \tabularnewline
152 & 0.0286046 & 0.0572091 & 0.971395 \tabularnewline
153 & 0.0550387 & 0.110077 & 0.944961 \tabularnewline
154 & 0.052122 & 0.104244 & 0.947878 \tabularnewline
155 & 0.0589655 & 0.117931 & 0.941035 \tabularnewline
156 & 0.0501588 & 0.100318 & 0.949841 \tabularnewline
157 & 0.0452117 & 0.0904235 & 0.954788 \tabularnewline
158 & 0.0419253 & 0.0838505 & 0.958075 \tabularnewline
159 & 0.0394028 & 0.0788056 & 0.960597 \tabularnewline
160 & 0.033375 & 0.0667501 & 0.966625 \tabularnewline
161 & 0.0275296 & 0.0550592 & 0.97247 \tabularnewline
162 & 0.0225661 & 0.0451322 & 0.977434 \tabularnewline
163 & 0.0187582 & 0.0375165 & 0.981242 \tabularnewline
164 & 0.0169307 & 0.0338614 & 0.983069 \tabularnewline
165 & 0.0145861 & 0.0291721 & 0.985414 \tabularnewline
166 & 0.0141919 & 0.0283839 & 0.985808 \tabularnewline
167 & 0.0113544 & 0.0227088 & 0.988646 \tabularnewline
168 & 0.0176166 & 0.0352333 & 0.982383 \tabularnewline
169 & 0.0188394 & 0.0376787 & 0.981161 \tabularnewline
170 & 0.0171663 & 0.0343326 & 0.982834 \tabularnewline
171 & 0.0168295 & 0.0336591 & 0.98317 \tabularnewline
172 & 0.0138393 & 0.0276785 & 0.986161 \tabularnewline
173 & 0.0151802 & 0.0303604 & 0.98482 \tabularnewline
174 & 0.0163516 & 0.0327033 & 0.983648 \tabularnewline
175 & 0.020514 & 0.041028 & 0.979486 \tabularnewline
176 & 0.0163378 & 0.0326755 & 0.983662 \tabularnewline
177 & 0.0133412 & 0.0266823 & 0.986659 \tabularnewline
178 & 0.0108059 & 0.0216119 & 0.989194 \tabularnewline
179 & 0.00849808 & 0.0169962 & 0.991502 \tabularnewline
180 & 0.00768865 & 0.0153773 & 0.992311 \tabularnewline
181 & 0.00632412 & 0.0126482 & 0.993676 \tabularnewline
182 & 0.00512262 & 0.0102452 & 0.994877 \tabularnewline
183 & 0.0054421 & 0.0108842 & 0.994558 \tabularnewline
184 & 0.00429973 & 0.00859947 & 0.9957 \tabularnewline
185 & 0.0793583 & 0.158717 & 0.920642 \tabularnewline
186 & 0.0689893 & 0.137979 & 0.931011 \tabularnewline
187 & 0.0809607 & 0.161921 & 0.919039 \tabularnewline
188 & 0.0703404 & 0.140681 & 0.92966 \tabularnewline
189 & 0.0591399 & 0.11828 & 0.94086 \tabularnewline
190 & 0.0492007 & 0.0984015 & 0.950799 \tabularnewline
191 & 0.045567 & 0.0911339 & 0.954433 \tabularnewline
192 & 0.0379017 & 0.0758033 & 0.962098 \tabularnewline
193 & 0.0489227 & 0.0978454 & 0.951077 \tabularnewline
194 & 0.0508313 & 0.101663 & 0.949169 \tabularnewline
195 & 0.0423027 & 0.0846055 & 0.957697 \tabularnewline
196 & 0.0348372 & 0.0696744 & 0.965163 \tabularnewline
197 & 0.0518465 & 0.103693 & 0.948153 \tabularnewline
198 & 0.0429741 & 0.0859481 & 0.957026 \tabularnewline
199 & 0.0382541 & 0.0765083 & 0.961746 \tabularnewline
200 & 0.032349 & 0.0646979 & 0.967651 \tabularnewline
201 & 0.0289168 & 0.0578336 & 0.971083 \tabularnewline
202 & 0.0238844 & 0.0477687 & 0.976116 \tabularnewline
203 & 0.0270839 & 0.0541679 & 0.972916 \tabularnewline
204 & 0.0319218 & 0.0638436 & 0.968078 \tabularnewline
205 & 0.0360939 & 0.0721878 & 0.963906 \tabularnewline
206 & 0.0289242 & 0.0578484 & 0.971076 \tabularnewline
207 & 0.0285137 & 0.0570273 & 0.971486 \tabularnewline
208 & 0.0245192 & 0.0490383 & 0.975481 \tabularnewline
209 & 0.0274721 & 0.0549441 & 0.972528 \tabularnewline
210 & 0.0232394 & 0.0464787 & 0.976761 \tabularnewline
211 & 0.0282728 & 0.0565457 & 0.971727 \tabularnewline
212 & 0.0430694 & 0.0861388 & 0.956931 \tabularnewline
213 & 0.0342444 & 0.0684888 & 0.965756 \tabularnewline
214 & 0.0426205 & 0.085241 & 0.95738 \tabularnewline
215 & 0.0361466 & 0.0722931 & 0.963853 \tabularnewline
216 & 0.0287604 & 0.0575208 & 0.97124 \tabularnewline
217 & 0.035246 & 0.0704919 & 0.964754 \tabularnewline
218 & 0.0308097 & 0.0616194 & 0.96919 \tabularnewline
219 & 0.0270602 & 0.0541203 & 0.97294 \tabularnewline
220 & 0.0212842 & 0.0425684 & 0.978716 \tabularnewline
221 & 0.0200466 & 0.0400931 & 0.979953 \tabularnewline
222 & 0.0148707 & 0.0297415 & 0.985129 \tabularnewline
223 & 0.0111278 & 0.0222557 & 0.988872 \tabularnewline
224 & 0.00899142 & 0.0179828 & 0.991009 \tabularnewline
225 & 0.00820605 & 0.0164121 & 0.991794 \tabularnewline
226 & 0.0160097 & 0.0320194 & 0.98399 \tabularnewline
227 & 0.0115868 & 0.0231735 & 0.988413 \tabularnewline
228 & 0.00862118 & 0.0172424 & 0.991379 \tabularnewline
229 & 0.00642831 & 0.0128566 & 0.993572 \tabularnewline
230 & 0.00488299 & 0.00976597 & 0.995117 \tabularnewline
231 & 0.00516775 & 0.0103355 & 0.994832 \tabularnewline
232 & 0.0113522 & 0.0227045 & 0.988648 \tabularnewline
233 & 0.0506675 & 0.101335 & 0.949333 \tabularnewline
234 & 0.0721423 & 0.144285 & 0.927858 \tabularnewline
235 & 0.05493 & 0.10986 & 0.94507 \tabularnewline
236 & 0.0499848 & 0.0999696 & 0.950015 \tabularnewline
237 & 0.300328 & 0.600655 & 0.699672 \tabularnewline
238 & 0.250298 & 0.500596 & 0.749702 \tabularnewline
239 & 0.21833 & 0.43666 & 0.78167 \tabularnewline
240 & 0.178765 & 0.35753 & 0.821235 \tabularnewline
241 & 0.148569 & 0.297138 & 0.851431 \tabularnewline
242 & 0.130974 & 0.261948 & 0.869026 \tabularnewline
243 & 0.122601 & 0.245202 & 0.877399 \tabularnewline
244 & 0.201352 & 0.402705 & 0.798648 \tabularnewline
245 & 0.167431 & 0.334862 & 0.832569 \tabularnewline
246 & 0.140137 & 0.280274 & 0.859863 \tabularnewline
247 & 0.101823 & 0.203646 & 0.898177 \tabularnewline
248 & 0.101883 & 0.203767 & 0.898117 \tabularnewline
249 & 0.0990352 & 0.19807 & 0.900965 \tabularnewline
250 & 0.123156 & 0.246312 & 0.876844 \tabularnewline
251 & 0.0805089 & 0.161018 & 0.919491 \tabularnewline
252 & 0.0695289 & 0.139058 & 0.930471 \tabularnewline
253 & 0.242446 & 0.484891 & 0.757554 \tabularnewline
254 & 0.802999 & 0.394001 & 0.197001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253143&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]10[/C][C]0.220295[/C][C]0.440589[/C][C]0.779705[/C][/ROW]
[ROW][C]11[/C][C]0.114378[/C][C]0.228756[/C][C]0.885622[/C][/ROW]
[ROW][C]12[/C][C]0.0810352[/C][C]0.16207[/C][C]0.918965[/C][/ROW]
[ROW][C]13[/C][C]0.0397995[/C][C]0.0795989[/C][C]0.960201[/C][/ROW]
[ROW][C]14[/C][C]0.0641605[/C][C]0.128321[/C][C]0.93584[/C][/ROW]
[ROW][C]15[/C][C]0.0430914[/C][C]0.0861828[/C][C]0.956909[/C][/ROW]
[ROW][C]16[/C][C]0.0289845[/C][C]0.0579691[/C][C]0.971015[/C][/ROW]
[ROW][C]17[/C][C]0.0370822[/C][C]0.0741644[/C][C]0.962918[/C][/ROW]
[ROW][C]18[/C][C]0.20045[/C][C]0.400899[/C][C]0.79955[/C][/ROW]
[ROW][C]19[/C][C]0.150039[/C][C]0.300078[/C][C]0.849961[/C][/ROW]
[ROW][C]20[/C][C]0.10372[/C][C]0.20744[/C][C]0.89628[/C][/ROW]
[ROW][C]21[/C][C]0.0707647[/C][C]0.141529[/C][C]0.929235[/C][/ROW]
[ROW][C]22[/C][C]0.0810828[/C][C]0.162166[/C][C]0.918917[/C][/ROW]
[ROW][C]23[/C][C]0.205613[/C][C]0.411226[/C][C]0.794387[/C][/ROW]
[ROW][C]24[/C][C]0.263926[/C][C]0.527853[/C][C]0.736074[/C][/ROW]
[ROW][C]25[/C][C]0.238583[/C][C]0.477165[/C][C]0.761417[/C][/ROW]
[ROW][C]26[/C][C]0.224958[/C][C]0.449916[/C][C]0.775042[/C][/ROW]
[ROW][C]27[/C][C]0.294252[/C][C]0.588504[/C][C]0.705748[/C][/ROW]
[ROW][C]28[/C][C]0.306336[/C][C]0.612671[/C][C]0.693664[/C][/ROW]
[ROW][C]29[/C][C]0.292465[/C][C]0.58493[/C][C]0.707535[/C][/ROW]
[ROW][C]30[/C][C]0.318751[/C][C]0.637502[/C][C]0.681249[/C][/ROW]
[ROW][C]31[/C][C]0.27121[/C][C]0.542421[/C][C]0.72879[/C][/ROW]
[ROW][C]32[/C][C]0.236207[/C][C]0.472413[/C][C]0.763793[/C][/ROW]
[ROW][C]33[/C][C]0.2132[/C][C]0.426399[/C][C]0.7868[/C][/ROW]
[ROW][C]34[/C][C]0.181903[/C][C]0.363806[/C][C]0.818097[/C][/ROW]
[ROW][C]35[/C][C]0.148612[/C][C]0.297223[/C][C]0.851388[/C][/ROW]
[ROW][C]36[/C][C]0.254243[/C][C]0.508485[/C][C]0.745757[/C][/ROW]
[ROW][C]37[/C][C]0.28361[/C][C]0.567219[/C][C]0.71639[/C][/ROW]
[ROW][C]38[/C][C]0.275484[/C][C]0.550969[/C][C]0.724516[/C][/ROW]
[ROW][C]39[/C][C]0.308951[/C][C]0.617903[/C][C]0.691049[/C][/ROW]
[ROW][C]40[/C][C]0.285472[/C][C]0.570943[/C][C]0.714528[/C][/ROW]
[ROW][C]41[/C][C]0.251858[/C][C]0.503715[/C][C]0.748142[/C][/ROW]
[ROW][C]42[/C][C]0.219479[/C][C]0.438957[/C][C]0.780521[/C][/ROW]
[ROW][C]43[/C][C]0.23392[/C][C]0.46784[/C][C]0.76608[/C][/ROW]
[ROW][C]44[/C][C]0.19645[/C][C]0.3929[/C][C]0.80355[/C][/ROW]
[ROW][C]45[/C][C]0.17714[/C][C]0.354281[/C][C]0.82286[/C][/ROW]
[ROW][C]46[/C][C]0.366737[/C][C]0.733473[/C][C]0.633263[/C][/ROW]
[ROW][C]47[/C][C]0.520492[/C][C]0.959016[/C][C]0.479508[/C][/ROW]
[ROW][C]48[/C][C]0.471973[/C][C]0.943945[/C][C]0.528027[/C][/ROW]
[ROW][C]49[/C][C]0.472928[/C][C]0.945855[/C][C]0.527072[/C][/ROW]
[ROW][C]50[/C][C]0.47043[/C][C]0.94086[/C][C]0.52957[/C][/ROW]
[ROW][C]51[/C][C]0.425346[/C][C]0.850691[/C][C]0.574654[/C][/ROW]
[ROW][C]52[/C][C]0.380458[/C][C]0.760916[/C][C]0.619542[/C][/ROW]
[ROW][C]53[/C][C]0.400096[/C][C]0.800191[/C][C]0.599904[/C][/ROW]
[ROW][C]54[/C][C]0.388398[/C][C]0.776796[/C][C]0.611602[/C][/ROW]
[ROW][C]55[/C][C]0.394528[/C][C]0.789057[/C][C]0.605472[/C][/ROW]
[ROW][C]56[/C][C]0.378434[/C][C]0.756868[/C][C]0.621566[/C][/ROW]
[ROW][C]57[/C][C]0.337162[/C][C]0.674325[/C][C]0.662838[/C][/ROW]
[ROW][C]58[/C][C]0.307374[/C][C]0.614749[/C][C]0.692626[/C][/ROW]
[ROW][C]59[/C][C]0.269071[/C][C]0.538142[/C][C]0.730929[/C][/ROW]
[ROW][C]60[/C][C]0.265595[/C][C]0.531189[/C][C]0.734405[/C][/ROW]
[ROW][C]61[/C][C]0.234776[/C][C]0.469552[/C][C]0.765224[/C][/ROW]
[ROW][C]62[/C][C]0.203987[/C][C]0.407975[/C][C]0.796013[/C][/ROW]
[ROW][C]63[/C][C]0.175287[/C][C]0.350573[/C][C]0.824713[/C][/ROW]
[ROW][C]64[/C][C]0.148688[/C][C]0.297375[/C][C]0.851312[/C][/ROW]
[ROW][C]65[/C][C]0.131237[/C][C]0.262475[/C][C]0.868763[/C][/ROW]
[ROW][C]66[/C][C]0.11327[/C][C]0.226541[/C][C]0.88673[/C][/ROW]
[ROW][C]67[/C][C]0.105669[/C][C]0.211338[/C][C]0.894331[/C][/ROW]
[ROW][C]68[/C][C]0.205958[/C][C]0.411915[/C][C]0.794042[/C][/ROW]
[ROW][C]69[/C][C]0.286474[/C][C]0.572947[/C][C]0.713526[/C][/ROW]
[ROW][C]70[/C][C]0.258623[/C][C]0.517246[/C][C]0.741377[/C][/ROW]
[ROW][C]71[/C][C]0.370089[/C][C]0.740178[/C][C]0.629911[/C][/ROW]
[ROW][C]72[/C][C]0.332633[/C][C]0.665267[/C][C]0.667367[/C][/ROW]
[ROW][C]73[/C][C]0.325791[/C][C]0.651582[/C][C]0.674209[/C][/ROW]
[ROW][C]74[/C][C]0.309976[/C][C]0.619951[/C][C]0.690024[/C][/ROW]
[ROW][C]75[/C][C]0.278106[/C][C]0.556213[/C][C]0.721894[/C][/ROW]
[ROW][C]76[/C][C]0.341209[/C][C]0.682418[/C][C]0.658791[/C][/ROW]
[ROW][C]77[/C][C]0.305615[/C][C]0.61123[/C][C]0.694385[/C][/ROW]
[ROW][C]78[/C][C]0.287049[/C][C]0.574097[/C][C]0.712951[/C][/ROW]
[ROW][C]79[/C][C]0.295867[/C][C]0.591735[/C][C]0.704133[/C][/ROW]
[ROW][C]80[/C][C]0.267988[/C][C]0.535976[/C][C]0.732012[/C][/ROW]
[ROW][C]81[/C][C]0.241508[/C][C]0.483016[/C][C]0.758492[/C][/ROW]
[ROW][C]82[/C][C]0.212437[/C][C]0.424875[/C][C]0.787563[/C][/ROW]
[ROW][C]83[/C][C]0.188852[/C][C]0.377704[/C][C]0.811148[/C][/ROW]
[ROW][C]84[/C][C]0.164156[/C][C]0.328312[/C][C]0.835844[/C][/ROW]
[ROW][C]85[/C][C]0.161357[/C][C]0.322713[/C][C]0.838643[/C][/ROW]
[ROW][C]86[/C][C]0.138661[/C][C]0.277322[/C][C]0.861339[/C][/ROW]
[ROW][C]87[/C][C]0.121149[/C][C]0.242298[/C][C]0.878851[/C][/ROW]
[ROW][C]88[/C][C]0.112972[/C][C]0.225944[/C][C]0.887028[/C][/ROW]
[ROW][C]89[/C][C]0.0963489[/C][C]0.192698[/C][C]0.903651[/C][/ROW]
[ROW][C]90[/C][C]0.0906061[/C][C]0.181212[/C][C]0.909394[/C][/ROW]
[ROW][C]91[/C][C]0.0769413[/C][C]0.153883[/C][C]0.923059[/C][/ROW]
[ROW][C]92[/C][C]0.0660381[/C][C]0.132076[/C][C]0.933962[/C][/ROW]
[ROW][C]93[/C][C]0.0556527[/C][C]0.111305[/C][C]0.944347[/C][/ROW]
[ROW][C]94[/C][C]0.05814[/C][C]0.11628[/C][C]0.94186[/C][/ROW]
[ROW][C]95[/C][C]0.052935[/C][C]0.10587[/C][C]0.947065[/C][/ROW]
[ROW][C]96[/C][C]0.0440617[/C][C]0.0881234[/C][C]0.955938[/C][/ROW]
[ROW][C]97[/C][C]0.0482277[/C][C]0.0964555[/C][C]0.951772[/C][/ROW]
[ROW][C]98[/C][C]0.0398864[/C][C]0.0797728[/C][C]0.960114[/C][/ROW]
[ROW][C]99[/C][C]0.0324647[/C][C]0.0649294[/C][C]0.967535[/C][/ROW]
[ROW][C]100[/C][C]0.027893[/C][C]0.055786[/C][C]0.972107[/C][/ROW]
[ROW][C]101[/C][C]0.0244061[/C][C]0.0488121[/C][C]0.975594[/C][/ROW]
[ROW][C]102[/C][C]0.0297146[/C][C]0.0594291[/C][C]0.970285[/C][/ROW]
[ROW][C]103[/C][C]0.0247604[/C][C]0.0495208[/C][C]0.97524[/C][/ROW]
[ROW][C]104[/C][C]0.0227613[/C][C]0.0455227[/C][C]0.977239[/C][/ROW]
[ROW][C]105[/C][C]0.0286631[/C][C]0.0573262[/C][C]0.971337[/C][/ROW]
[ROW][C]106[/C][C]0.0255086[/C][C]0.0510172[/C][C]0.974491[/C][/ROW]
[ROW][C]107[/C][C]0.0208271[/C][C]0.0416541[/C][C]0.979173[/C][/ROW]
[ROW][C]108[/C][C]0.0196279[/C][C]0.0392559[/C][C]0.980372[/C][/ROW]
[ROW][C]109[/C][C]0.0158719[/C][C]0.0317439[/C][C]0.984128[/C][/ROW]
[ROW][C]110[/C][C]0.01306[/C][C]0.0261199[/C][C]0.98694[/C][/ROW]
[ROW][C]111[/C][C]0.010286[/C][C]0.020572[/C][C]0.989714[/C][/ROW]
[ROW][C]112[/C][C]0.0101317[/C][C]0.0202633[/C][C]0.989868[/C][/ROW]
[ROW][C]113[/C][C]0.00876565[/C][C]0.0175313[/C][C]0.991234[/C][/ROW]
[ROW][C]114[/C][C]0.0116127[/C][C]0.0232254[/C][C]0.988387[/C][/ROW]
[ROW][C]115[/C][C]0.0111917[/C][C]0.0223833[/C][C]0.988808[/C][/ROW]
[ROW][C]116[/C][C]0.0104639[/C][C]0.0209279[/C][C]0.989536[/C][/ROW]
[ROW][C]117[/C][C]0.00861623[/C][C]0.0172325[/C][C]0.991384[/C][/ROW]
[ROW][C]118[/C][C]0.00878532[/C][C]0.0175706[/C][C]0.991215[/C][/ROW]
[ROW][C]119[/C][C]0.00712656[/C][C]0.0142531[/C][C]0.992873[/C][/ROW]
[ROW][C]120[/C][C]0.00628723[/C][C]0.0125745[/C][C]0.993713[/C][/ROW]
[ROW][C]121[/C][C]0.00508827[/C][C]0.0101765[/C][C]0.994912[/C][/ROW]
[ROW][C]122[/C][C]0.00799152[/C][C]0.015983[/C][C]0.992008[/C][/ROW]
[ROW][C]123[/C][C]0.00675795[/C][C]0.0135159[/C][C]0.993242[/C][/ROW]
[ROW][C]124[/C][C]0.00595208[/C][C]0.0119042[/C][C]0.994048[/C][/ROW]
[ROW][C]125[/C][C]0.00491732[/C][C]0.00983464[/C][C]0.995083[/C][/ROW]
[ROW][C]126[/C][C]0.00400517[/C][C]0.00801034[/C][C]0.995995[/C][/ROW]
[ROW][C]127[/C][C]0.00375359[/C][C]0.00750718[/C][C]0.996246[/C][/ROW]
[ROW][C]128[/C][C]0.00319962[/C][C]0.00639924[/C][C]0.9968[/C][/ROW]
[ROW][C]129[/C][C]0.00458061[/C][C]0.00916121[/C][C]0.995419[/C][/ROW]
[ROW][C]130[/C][C]0.00480009[/C][C]0.00960019[/C][C]0.9952[/C][/ROW]
[ROW][C]131[/C][C]0.010955[/C][C]0.0219099[/C][C]0.989045[/C][/ROW]
[ROW][C]132[/C][C]0.0133075[/C][C]0.026615[/C][C]0.986693[/C][/ROW]
[ROW][C]133[/C][C]0.0136722[/C][C]0.0273444[/C][C]0.986328[/C][/ROW]
[ROW][C]134[/C][C]0.0130472[/C][C]0.0260945[/C][C]0.986953[/C][/ROW]
[ROW][C]135[/C][C]0.0106558[/C][C]0.0213116[/C][C]0.989344[/C][/ROW]
[ROW][C]136[/C][C]0.00911165[/C][C]0.0182233[/C][C]0.990888[/C][/ROW]
[ROW][C]137[/C][C]0.00728943[/C][C]0.0145789[/C][C]0.992711[/C][/ROW]
[ROW][C]138[/C][C]0.00920951[/C][C]0.018419[/C][C]0.99079[/C][/ROW]
[ROW][C]139[/C][C]0.00793717[/C][C]0.0158743[/C][C]0.992063[/C][/ROW]
[ROW][C]140[/C][C]0.00925196[/C][C]0.0185039[/C][C]0.990748[/C][/ROW]
[ROW][C]141[/C][C]0.0148456[/C][C]0.0296912[/C][C]0.985154[/C][/ROW]
[ROW][C]142[/C][C]0.0139529[/C][C]0.0279057[/C][C]0.986047[/C][/ROW]
[ROW][C]143[/C][C]0.0110666[/C][C]0.0221332[/C][C]0.988933[/C][/ROW]
[ROW][C]144[/C][C]0.0119587[/C][C]0.0239174[/C][C]0.988041[/C][/ROW]
[ROW][C]145[/C][C]0.0224606[/C][C]0.0449213[/C][C]0.977539[/C][/ROW]
[ROW][C]146[/C][C]0.0290121[/C][C]0.0580241[/C][C]0.970988[/C][/ROW]
[ROW][C]147[/C][C]0.0320787[/C][C]0.0641575[/C][C]0.967921[/C][/ROW]
[ROW][C]148[/C][C]0.0281357[/C][C]0.0562715[/C][C]0.971864[/C][/ROW]
[ROW][C]149[/C][C]0.0233458[/C][C]0.0466916[/C][C]0.976654[/C][/ROW]
[ROW][C]150[/C][C]0.0309511[/C][C]0.0619021[/C][C]0.969049[/C][/ROW]
[ROW][C]151[/C][C]0.0266321[/C][C]0.0532641[/C][C]0.973368[/C][/ROW]
[ROW][C]152[/C][C]0.0286046[/C][C]0.0572091[/C][C]0.971395[/C][/ROW]
[ROW][C]153[/C][C]0.0550387[/C][C]0.110077[/C][C]0.944961[/C][/ROW]
[ROW][C]154[/C][C]0.052122[/C][C]0.104244[/C][C]0.947878[/C][/ROW]
[ROW][C]155[/C][C]0.0589655[/C][C]0.117931[/C][C]0.941035[/C][/ROW]
[ROW][C]156[/C][C]0.0501588[/C][C]0.100318[/C][C]0.949841[/C][/ROW]
[ROW][C]157[/C][C]0.0452117[/C][C]0.0904235[/C][C]0.954788[/C][/ROW]
[ROW][C]158[/C][C]0.0419253[/C][C]0.0838505[/C][C]0.958075[/C][/ROW]
[ROW][C]159[/C][C]0.0394028[/C][C]0.0788056[/C][C]0.960597[/C][/ROW]
[ROW][C]160[/C][C]0.033375[/C][C]0.0667501[/C][C]0.966625[/C][/ROW]
[ROW][C]161[/C][C]0.0275296[/C][C]0.0550592[/C][C]0.97247[/C][/ROW]
[ROW][C]162[/C][C]0.0225661[/C][C]0.0451322[/C][C]0.977434[/C][/ROW]
[ROW][C]163[/C][C]0.0187582[/C][C]0.0375165[/C][C]0.981242[/C][/ROW]
[ROW][C]164[/C][C]0.0169307[/C][C]0.0338614[/C][C]0.983069[/C][/ROW]
[ROW][C]165[/C][C]0.0145861[/C][C]0.0291721[/C][C]0.985414[/C][/ROW]
[ROW][C]166[/C][C]0.0141919[/C][C]0.0283839[/C][C]0.985808[/C][/ROW]
[ROW][C]167[/C][C]0.0113544[/C][C]0.0227088[/C][C]0.988646[/C][/ROW]
[ROW][C]168[/C][C]0.0176166[/C][C]0.0352333[/C][C]0.982383[/C][/ROW]
[ROW][C]169[/C][C]0.0188394[/C][C]0.0376787[/C][C]0.981161[/C][/ROW]
[ROW][C]170[/C][C]0.0171663[/C][C]0.0343326[/C][C]0.982834[/C][/ROW]
[ROW][C]171[/C][C]0.0168295[/C][C]0.0336591[/C][C]0.98317[/C][/ROW]
[ROW][C]172[/C][C]0.0138393[/C][C]0.0276785[/C][C]0.986161[/C][/ROW]
[ROW][C]173[/C][C]0.0151802[/C][C]0.0303604[/C][C]0.98482[/C][/ROW]
[ROW][C]174[/C][C]0.0163516[/C][C]0.0327033[/C][C]0.983648[/C][/ROW]
[ROW][C]175[/C][C]0.020514[/C][C]0.041028[/C][C]0.979486[/C][/ROW]
[ROW][C]176[/C][C]0.0163378[/C][C]0.0326755[/C][C]0.983662[/C][/ROW]
[ROW][C]177[/C][C]0.0133412[/C][C]0.0266823[/C][C]0.986659[/C][/ROW]
[ROW][C]178[/C][C]0.0108059[/C][C]0.0216119[/C][C]0.989194[/C][/ROW]
[ROW][C]179[/C][C]0.00849808[/C][C]0.0169962[/C][C]0.991502[/C][/ROW]
[ROW][C]180[/C][C]0.00768865[/C][C]0.0153773[/C][C]0.992311[/C][/ROW]
[ROW][C]181[/C][C]0.00632412[/C][C]0.0126482[/C][C]0.993676[/C][/ROW]
[ROW][C]182[/C][C]0.00512262[/C][C]0.0102452[/C][C]0.994877[/C][/ROW]
[ROW][C]183[/C][C]0.0054421[/C][C]0.0108842[/C][C]0.994558[/C][/ROW]
[ROW][C]184[/C][C]0.00429973[/C][C]0.00859947[/C][C]0.9957[/C][/ROW]
[ROW][C]185[/C][C]0.0793583[/C][C]0.158717[/C][C]0.920642[/C][/ROW]
[ROW][C]186[/C][C]0.0689893[/C][C]0.137979[/C][C]0.931011[/C][/ROW]
[ROW][C]187[/C][C]0.0809607[/C][C]0.161921[/C][C]0.919039[/C][/ROW]
[ROW][C]188[/C][C]0.0703404[/C][C]0.140681[/C][C]0.92966[/C][/ROW]
[ROW][C]189[/C][C]0.0591399[/C][C]0.11828[/C][C]0.94086[/C][/ROW]
[ROW][C]190[/C][C]0.0492007[/C][C]0.0984015[/C][C]0.950799[/C][/ROW]
[ROW][C]191[/C][C]0.045567[/C][C]0.0911339[/C][C]0.954433[/C][/ROW]
[ROW][C]192[/C][C]0.0379017[/C][C]0.0758033[/C][C]0.962098[/C][/ROW]
[ROW][C]193[/C][C]0.0489227[/C][C]0.0978454[/C][C]0.951077[/C][/ROW]
[ROW][C]194[/C][C]0.0508313[/C][C]0.101663[/C][C]0.949169[/C][/ROW]
[ROW][C]195[/C][C]0.0423027[/C][C]0.0846055[/C][C]0.957697[/C][/ROW]
[ROW][C]196[/C][C]0.0348372[/C][C]0.0696744[/C][C]0.965163[/C][/ROW]
[ROW][C]197[/C][C]0.0518465[/C][C]0.103693[/C][C]0.948153[/C][/ROW]
[ROW][C]198[/C][C]0.0429741[/C][C]0.0859481[/C][C]0.957026[/C][/ROW]
[ROW][C]199[/C][C]0.0382541[/C][C]0.0765083[/C][C]0.961746[/C][/ROW]
[ROW][C]200[/C][C]0.032349[/C][C]0.0646979[/C][C]0.967651[/C][/ROW]
[ROW][C]201[/C][C]0.0289168[/C][C]0.0578336[/C][C]0.971083[/C][/ROW]
[ROW][C]202[/C][C]0.0238844[/C][C]0.0477687[/C][C]0.976116[/C][/ROW]
[ROW][C]203[/C][C]0.0270839[/C][C]0.0541679[/C][C]0.972916[/C][/ROW]
[ROW][C]204[/C][C]0.0319218[/C][C]0.0638436[/C][C]0.968078[/C][/ROW]
[ROW][C]205[/C][C]0.0360939[/C][C]0.0721878[/C][C]0.963906[/C][/ROW]
[ROW][C]206[/C][C]0.0289242[/C][C]0.0578484[/C][C]0.971076[/C][/ROW]
[ROW][C]207[/C][C]0.0285137[/C][C]0.0570273[/C][C]0.971486[/C][/ROW]
[ROW][C]208[/C][C]0.0245192[/C][C]0.0490383[/C][C]0.975481[/C][/ROW]
[ROW][C]209[/C][C]0.0274721[/C][C]0.0549441[/C][C]0.972528[/C][/ROW]
[ROW][C]210[/C][C]0.0232394[/C][C]0.0464787[/C][C]0.976761[/C][/ROW]
[ROW][C]211[/C][C]0.0282728[/C][C]0.0565457[/C][C]0.971727[/C][/ROW]
[ROW][C]212[/C][C]0.0430694[/C][C]0.0861388[/C][C]0.956931[/C][/ROW]
[ROW][C]213[/C][C]0.0342444[/C][C]0.0684888[/C][C]0.965756[/C][/ROW]
[ROW][C]214[/C][C]0.0426205[/C][C]0.085241[/C][C]0.95738[/C][/ROW]
[ROW][C]215[/C][C]0.0361466[/C][C]0.0722931[/C][C]0.963853[/C][/ROW]
[ROW][C]216[/C][C]0.0287604[/C][C]0.0575208[/C][C]0.97124[/C][/ROW]
[ROW][C]217[/C][C]0.035246[/C][C]0.0704919[/C][C]0.964754[/C][/ROW]
[ROW][C]218[/C][C]0.0308097[/C][C]0.0616194[/C][C]0.96919[/C][/ROW]
[ROW][C]219[/C][C]0.0270602[/C][C]0.0541203[/C][C]0.97294[/C][/ROW]
[ROW][C]220[/C][C]0.0212842[/C][C]0.0425684[/C][C]0.978716[/C][/ROW]
[ROW][C]221[/C][C]0.0200466[/C][C]0.0400931[/C][C]0.979953[/C][/ROW]
[ROW][C]222[/C][C]0.0148707[/C][C]0.0297415[/C][C]0.985129[/C][/ROW]
[ROW][C]223[/C][C]0.0111278[/C][C]0.0222557[/C][C]0.988872[/C][/ROW]
[ROW][C]224[/C][C]0.00899142[/C][C]0.0179828[/C][C]0.991009[/C][/ROW]
[ROW][C]225[/C][C]0.00820605[/C][C]0.0164121[/C][C]0.991794[/C][/ROW]
[ROW][C]226[/C][C]0.0160097[/C][C]0.0320194[/C][C]0.98399[/C][/ROW]
[ROW][C]227[/C][C]0.0115868[/C][C]0.0231735[/C][C]0.988413[/C][/ROW]
[ROW][C]228[/C][C]0.00862118[/C][C]0.0172424[/C][C]0.991379[/C][/ROW]
[ROW][C]229[/C][C]0.00642831[/C][C]0.0128566[/C][C]0.993572[/C][/ROW]
[ROW][C]230[/C][C]0.00488299[/C][C]0.00976597[/C][C]0.995117[/C][/ROW]
[ROW][C]231[/C][C]0.00516775[/C][C]0.0103355[/C][C]0.994832[/C][/ROW]
[ROW][C]232[/C][C]0.0113522[/C][C]0.0227045[/C][C]0.988648[/C][/ROW]
[ROW][C]233[/C][C]0.0506675[/C][C]0.101335[/C][C]0.949333[/C][/ROW]
[ROW][C]234[/C][C]0.0721423[/C][C]0.144285[/C][C]0.927858[/C][/ROW]
[ROW][C]235[/C][C]0.05493[/C][C]0.10986[/C][C]0.94507[/C][/ROW]
[ROW][C]236[/C][C]0.0499848[/C][C]0.0999696[/C][C]0.950015[/C][/ROW]
[ROW][C]237[/C][C]0.300328[/C][C]0.600655[/C][C]0.699672[/C][/ROW]
[ROW][C]238[/C][C]0.250298[/C][C]0.500596[/C][C]0.749702[/C][/ROW]
[ROW][C]239[/C][C]0.21833[/C][C]0.43666[/C][C]0.78167[/C][/ROW]
[ROW][C]240[/C][C]0.178765[/C][C]0.35753[/C][C]0.821235[/C][/ROW]
[ROW][C]241[/C][C]0.148569[/C][C]0.297138[/C][C]0.851431[/C][/ROW]
[ROW][C]242[/C][C]0.130974[/C][C]0.261948[/C][C]0.869026[/C][/ROW]
[ROW][C]243[/C][C]0.122601[/C][C]0.245202[/C][C]0.877399[/C][/ROW]
[ROW][C]244[/C][C]0.201352[/C][C]0.402705[/C][C]0.798648[/C][/ROW]
[ROW][C]245[/C][C]0.167431[/C][C]0.334862[/C][C]0.832569[/C][/ROW]
[ROW][C]246[/C][C]0.140137[/C][C]0.280274[/C][C]0.859863[/C][/ROW]
[ROW][C]247[/C][C]0.101823[/C][C]0.203646[/C][C]0.898177[/C][/ROW]
[ROW][C]248[/C][C]0.101883[/C][C]0.203767[/C][C]0.898117[/C][/ROW]
[ROW][C]249[/C][C]0.0990352[/C][C]0.19807[/C][C]0.900965[/C][/ROW]
[ROW][C]250[/C][C]0.123156[/C][C]0.246312[/C][C]0.876844[/C][/ROW]
[ROW][C]251[/C][C]0.0805089[/C][C]0.161018[/C][C]0.919491[/C][/ROW]
[ROW][C]252[/C][C]0.0695289[/C][C]0.139058[/C][C]0.930471[/C][/ROW]
[ROW][C]253[/C][C]0.242446[/C][C]0.484891[/C][C]0.757554[/C][/ROW]
[ROW][C]254[/C][C]0.802999[/C][C]0.394001[/C][C]0.197001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253143&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253143&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
100.2202950.4405890.779705
110.1143780.2287560.885622
120.08103520.162070.918965
130.03979950.07959890.960201
140.06416050.1283210.93584
150.04309140.08618280.956909
160.02898450.05796910.971015
170.03708220.07416440.962918
180.200450.4008990.79955
190.1500390.3000780.849961
200.103720.207440.89628
210.07076470.1415290.929235
220.08108280.1621660.918917
230.2056130.4112260.794387
240.2639260.5278530.736074
250.2385830.4771650.761417
260.2249580.4499160.775042
270.2942520.5885040.705748
280.3063360.6126710.693664
290.2924650.584930.707535
300.3187510.6375020.681249
310.271210.5424210.72879
320.2362070.4724130.763793
330.21320.4263990.7868
340.1819030.3638060.818097
350.1486120.2972230.851388
360.2542430.5084850.745757
370.283610.5672190.71639
380.2754840.5509690.724516
390.3089510.6179030.691049
400.2854720.5709430.714528
410.2518580.5037150.748142
420.2194790.4389570.780521
430.233920.467840.76608
440.196450.39290.80355
450.177140.3542810.82286
460.3667370.7334730.633263
470.5204920.9590160.479508
480.4719730.9439450.528027
490.4729280.9458550.527072
500.470430.940860.52957
510.4253460.8506910.574654
520.3804580.7609160.619542
530.4000960.8001910.599904
540.3883980.7767960.611602
550.3945280.7890570.605472
560.3784340.7568680.621566
570.3371620.6743250.662838
580.3073740.6147490.692626
590.2690710.5381420.730929
600.2655950.5311890.734405
610.2347760.4695520.765224
620.2039870.4079750.796013
630.1752870.3505730.824713
640.1486880.2973750.851312
650.1312370.2624750.868763
660.113270.2265410.88673
670.1056690.2113380.894331
680.2059580.4119150.794042
690.2864740.5729470.713526
700.2586230.5172460.741377
710.3700890.7401780.629911
720.3326330.6652670.667367
730.3257910.6515820.674209
740.3099760.6199510.690024
750.2781060.5562130.721894
760.3412090.6824180.658791
770.3056150.611230.694385
780.2870490.5740970.712951
790.2958670.5917350.704133
800.2679880.5359760.732012
810.2415080.4830160.758492
820.2124370.4248750.787563
830.1888520.3777040.811148
840.1641560.3283120.835844
850.1613570.3227130.838643
860.1386610.2773220.861339
870.1211490.2422980.878851
880.1129720.2259440.887028
890.09634890.1926980.903651
900.09060610.1812120.909394
910.07694130.1538830.923059
920.06603810.1320760.933962
930.05565270.1113050.944347
940.058140.116280.94186
950.0529350.105870.947065
960.04406170.08812340.955938
970.04822770.09645550.951772
980.03988640.07977280.960114
990.03246470.06492940.967535
1000.0278930.0557860.972107
1010.02440610.04881210.975594
1020.02971460.05942910.970285
1030.02476040.04952080.97524
1040.02276130.04552270.977239
1050.02866310.05732620.971337
1060.02550860.05101720.974491
1070.02082710.04165410.979173
1080.01962790.03925590.980372
1090.01587190.03174390.984128
1100.013060.02611990.98694
1110.0102860.0205720.989714
1120.01013170.02026330.989868
1130.008765650.01753130.991234
1140.01161270.02322540.988387
1150.01119170.02238330.988808
1160.01046390.02092790.989536
1170.008616230.01723250.991384
1180.008785320.01757060.991215
1190.007126560.01425310.992873
1200.006287230.01257450.993713
1210.005088270.01017650.994912
1220.007991520.0159830.992008
1230.006757950.01351590.993242
1240.005952080.01190420.994048
1250.004917320.009834640.995083
1260.004005170.008010340.995995
1270.003753590.007507180.996246
1280.003199620.006399240.9968
1290.004580610.009161210.995419
1300.004800090.009600190.9952
1310.0109550.02190990.989045
1320.01330750.0266150.986693
1330.01367220.02734440.986328
1340.01304720.02609450.986953
1350.01065580.02131160.989344
1360.009111650.01822330.990888
1370.007289430.01457890.992711
1380.009209510.0184190.99079
1390.007937170.01587430.992063
1400.009251960.01850390.990748
1410.01484560.02969120.985154
1420.01395290.02790570.986047
1430.01106660.02213320.988933
1440.01195870.02391740.988041
1450.02246060.04492130.977539
1460.02901210.05802410.970988
1470.03207870.06415750.967921
1480.02813570.05627150.971864
1490.02334580.04669160.976654
1500.03095110.06190210.969049
1510.02663210.05326410.973368
1520.02860460.05720910.971395
1530.05503870.1100770.944961
1540.0521220.1042440.947878
1550.05896550.1179310.941035
1560.05015880.1003180.949841
1570.04521170.09042350.954788
1580.04192530.08385050.958075
1590.03940280.07880560.960597
1600.0333750.06675010.966625
1610.02752960.05505920.97247
1620.02256610.04513220.977434
1630.01875820.03751650.981242
1640.01693070.03386140.983069
1650.01458610.02917210.985414
1660.01419190.02838390.985808
1670.01135440.02270880.988646
1680.01761660.03523330.982383
1690.01883940.03767870.981161
1700.01716630.03433260.982834
1710.01682950.03365910.98317
1720.01383930.02767850.986161
1730.01518020.03036040.98482
1740.01635160.03270330.983648
1750.0205140.0410280.979486
1760.01633780.03267550.983662
1770.01334120.02668230.986659
1780.01080590.02161190.989194
1790.008498080.01699620.991502
1800.007688650.01537730.992311
1810.006324120.01264820.993676
1820.005122620.01024520.994877
1830.00544210.01088420.994558
1840.004299730.008599470.9957
1850.07935830.1587170.920642
1860.06898930.1379790.931011
1870.08096070.1619210.919039
1880.07034040.1406810.92966
1890.05913990.118280.94086
1900.04920070.09840150.950799
1910.0455670.09113390.954433
1920.03790170.07580330.962098
1930.04892270.09784540.951077
1940.05083130.1016630.949169
1950.04230270.08460550.957697
1960.03483720.06967440.965163
1970.05184650.1036930.948153
1980.04297410.08594810.957026
1990.03825410.07650830.961746
2000.0323490.06469790.967651
2010.02891680.05783360.971083
2020.02388440.04776870.976116
2030.02708390.05416790.972916
2040.03192180.06384360.968078
2050.03609390.07218780.963906
2060.02892420.05784840.971076
2070.02851370.05702730.971486
2080.02451920.04903830.975481
2090.02747210.05494410.972528
2100.02323940.04647870.976761
2110.02827280.05654570.971727
2120.04306940.08613880.956931
2130.03424440.06848880.965756
2140.04262050.0852410.95738
2150.03614660.07229310.963853
2160.02876040.05752080.97124
2170.0352460.07049190.964754
2180.03080970.06161940.96919
2190.02706020.05412030.97294
2200.02128420.04256840.978716
2210.02004660.04009310.979953
2220.01487070.02974150.985129
2230.01112780.02225570.988872
2240.008991420.01798280.991009
2250.008206050.01641210.991794
2260.01600970.03201940.98399
2270.01158680.02317350.988413
2280.008621180.01724240.991379
2290.006428310.01285660.993572
2300.004882990.009765970.995117
2310.005167750.01033550.994832
2320.01135220.02270450.988648
2330.05066750.1013350.949333
2340.07214230.1442850.927858
2350.054930.109860.94507
2360.04998480.09996960.950015
2370.3003280.6006550.699672
2380.2502980.5005960.749702
2390.218330.436660.78167
2400.1787650.357530.821235
2410.1485690.2971380.851431
2420.1309740.2619480.869026
2430.1226010.2452020.877399
2440.2013520.4027050.798648
2450.1674310.3348620.832569
2460.1401370.2802740.859863
2470.1018230.2036460.898177
2480.1018830.2037670.898117
2490.09903520.198070.900965
2500.1231560.2463120.876844
2510.08050890.1610180.919491
2520.06952890.1390580.930471
2530.2424460.4848910.757554
2540.8029990.3940010.197001






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level80.0326531NOK
5% type I error level820.334694NOK
10% type I error level1310.534694NOK

\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 & 8 & 0.0326531 & NOK \tabularnewline
5% type I error level & 82 & 0.334694 & NOK \tabularnewline
10% type I error level & 131 & 0.534694 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253143&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]8[/C][C]0.0326531[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]82[/C][C]0.334694[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]131[/C][C]0.534694[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253143&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253143&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 level80.0326531NOK
5% type I error level820.334694NOK
10% type I error level1310.534694NOK


Figures (Output of Computation)

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