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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 19 Nov 2013 14:56:27 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Nov/19/t1384891858udjc8angevezv9o.htm/, Retrieved Fri, 03 May 2024 23:56:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=226557, Retrieved Fri, 03 May 2024 23:56:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact54

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Multiple Regressi...] [2013-11-19 19:56:27] [faf5687099d29873b02937e73636223c] [Current]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time15 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 15 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226557&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]15 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226557&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226557&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 time15 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 15.9253 + 0.00196988Connected[t] + 0.0118933Separate[t] + 0.0822127Learning[t] -0.0335911Software[t] -0.361877Depression[t] + 0.0136699Sport1[t] + 0.019535Sport2[t] -0.00434627t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Happiness[t] =  +  15.9253 +  0.00196988Connected[t] +  0.0118933Separate[t] +  0.0822127Learning[t] -0.0335911Software[t] -0.361877Depression[t] +  0.0136699Sport1[t] +  0.019535Sport2[t] -0.00434627t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226557&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Happiness[t] =  +  15.9253 +  0.00196988Connected[t] +  0.0118933Separate[t] +  0.0822127Learning[t] -0.0335911Software[t] -0.361877Depression[t] +  0.0136699Sport1[t] +  0.019535Sport2[t] -0.00434627t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226557&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226557&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 15.9253 + 0.00196988Connected[t] + 0.0118933Separate[t] + 0.0822127Learning[t] -0.0335911Software[t] -0.361877Depression[t] + 0.0136699Sport1[t] + 0.019535Sport2[t] -0.00434627t + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)15.92531.901118.3773.67164e-151.83582e-15
Connected0.001969880.0373650.052720.9579960.478998
Separate0.01189330.03798450.31310.7544540.377227
Learning0.08221270.06732581.2210.223170.111585
Software-0.03359110.0691752-0.48560.6276720.313836
Depression-0.3618770.0393675-9.1921.4041e-177.02051e-18
Sport10.01366990.04033310.33890.7349450.367472
Sport20.0195350.06002710.32540.7451180.372559
t-0.004346270.00182576-2.3810.01802320.00901159

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 15.9253 & 1.90111 & 8.377 & 3.67164e-15 & 1.83582e-15 \tabularnewline
Connected & 0.00196988 & 0.037365 & 0.05272 & 0.957996 & 0.478998 \tabularnewline
Separate & 0.0118933 & 0.0379845 & 0.3131 & 0.754454 & 0.377227 \tabularnewline
Learning & 0.0822127 & 0.0673258 & 1.221 & 0.22317 & 0.111585 \tabularnewline
Software & -0.0335911 & 0.0691752 & -0.4856 & 0.627672 & 0.313836 \tabularnewline
Depression & -0.361877 & 0.0393675 & -9.192 & 1.4041e-17 & 7.02051e-18 \tabularnewline
Sport1 & 0.0136699 & 0.0403331 & 0.3389 & 0.734945 & 0.367472 \tabularnewline
Sport2 & 0.019535 & 0.0600271 & 0.3254 & 0.745118 & 0.372559 \tabularnewline
t & -0.00434627 & 0.00182576 & -2.381 & 0.0180232 & 0.00901159 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226557&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]15.9253[/C][C]1.90111[/C][C]8.377[/C][C]3.67164e-15[/C][C]1.83582e-15[/C][/ROW]
[ROW][C]Connected[/C][C]0.00196988[/C][C]0.037365[/C][C]0.05272[/C][C]0.957996[/C][C]0.478998[/C][/ROW]
[ROW][C]Separate[/C][C]0.0118933[/C][C]0.0379845[/C][C]0.3131[/C][C]0.754454[/C][C]0.377227[/C][/ROW]
[ROW][C]Learning[/C][C]0.0822127[/C][C]0.0673258[/C][C]1.221[/C][C]0.22317[/C][C]0.111585[/C][/ROW]
[ROW][C]Software[/C][C]-0.0335911[/C][C]0.0691752[/C][C]-0.4856[/C][C]0.627672[/C][C]0.313836[/C][/ROW]
[ROW][C]Depression[/C][C]-0.361877[/C][C]0.0393675[/C][C]-9.192[/C][C]1.4041e-17[/C][C]7.02051e-18[/C][/ROW]
[ROW][C]Sport1[/C][C]0.0136699[/C][C]0.0403331[/C][C]0.3389[/C][C]0.734945[/C][C]0.367472[/C][/ROW]
[ROW][C]Sport2[/C][C]0.019535[/C][C]0.0600271[/C][C]0.3254[/C][C]0.745118[/C][C]0.372559[/C][/ROW]
[ROW][C]t[/C][C]-0.00434627[/C][C]0.00182576[/C][C]-2.381[/C][C]0.0180232[/C][C]0.00901159[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226557&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226557&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)15.92531.901118.3773.67164e-151.83582e-15
Connected0.001969880.0373650.052720.9579960.478998
Separate0.01189330.03798450.31310.7544540.377227
Learning0.08221270.06732581.2210.223170.111585
Software-0.03359110.0691752-0.48560.6276720.313836
Depression-0.3618770.0393675-9.1921.4041e-177.02051e-18
Sport10.01366990.04033310.33890.7349450.367472
Sport20.0195350.06002710.32540.7451180.372559
t-0.004346270.00182576-2.3810.01802320.00901159






Multiple Linear Regression - Regression Statistics
Multiple R0.614245
R-squared0.377297
Adjusted R-squared0.357761
F-TEST (value)19.3131
F-TEST (DF numerator)8
F-TEST (DF denominator)255
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.00241
Sum Squared Residuals1022.46

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.614245 \tabularnewline
R-squared & 0.377297 \tabularnewline
Adjusted R-squared & 0.357761 \tabularnewline
F-TEST (value) & 19.3131 \tabularnewline
F-TEST (DF numerator) & 8 \tabularnewline
F-TEST (DF denominator) & 255 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.00241 \tabularnewline
Sum Squared Residuals & 1022.46 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226557&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.614245[/C][/ROW]
[ROW][C]R-squared[/C][C]0.377297[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.357761[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]19.3131[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]8[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]255[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.00241[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1022.46[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226557&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226557&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 R0.614245
R-squared0.377297
Adjusted R-squared0.357761
F-TEST (value)19.3131
F-TEST (DF numerator)8
F-TEST (DF denominator)255
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.00241
Sum Squared Residuals1022.46






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11414.1264-0.1264
21815.47012.52988
31114.1022-3.10217
41214.7674-2.76736
51611.4634.53704
61814.68783.31223
71410.98533.01469
81415.2187-1.2187
91515.3931-0.393091
101514.59020.409841
111715.71891.28114
121915.74853.25148
131013.5804-3.58039
141613.65562.34436
151815.86472.13526
161413.57120.428828
171414.0382-0.0381979
181715.89221.10781
191415.5388-1.53882
201613.97232.02769
211815.50072.49927
221113.8945-2.89453
231414.5197-0.519733
241213.7256-1.72561
251715.47931.52067
26915.9894-6.98939
271615.17290.827141
281413.44610.55385
291514.04810.951933
301114.1404-3.14042
311615.84430.1557
321312.89250.107546
331715.23031.76972
341515.4193-0.419344
351414.0724-0.072446
361615.74640.25361
37911.0565-2.05654
381514.43940.560571
391715.47981.52018
401315.3373-2.33725
411515.8138-0.813785
421613.76862.23144
431615.8220.177984
441213.2607-1.26066
451514.73570.264337
461113.7223-2.72229
471515.4456-0.445633
481514.99290.00708446
491713.58493.41505
501314.8349-1.83495
511615.28870.711283
521413.56520.434835
531111.8041-0.804099
541213.7681-1.76807
551214.2856-2.28562
561513.83031.1697
571614.25731.74272
581515.5264-0.52645
591215.2527-3.2527
601213.486-1.48604
61810.9157-2.91575
621314.6365-1.63647
631114.6686-3.66857
641413.15610.843948
651513.66921.33084
661015.1785-5.1785
671112.7016-1.70157
681214.5766-2.57657
691513.66051.33948
701513.73971.26025
711413.74410.255886
721612.86153.13851
731514.48890.511105
741515.2815-0.281527
751315.0441-2.04407
761212.299-0.299012
771714.07482.92524
781312.61870.381321
791513.93781.06224
801315.0098-2.00981
811514.97660.0234235
821515.5829-0.582923
831614.35541.64463
841514.39250.607477
851414.2353-0.235348
861514.13880.861246
871414.35-0.349996
881312.84750.152511
89710.6616-3.66163
901713.89973.10033
911312.82970.170321
921514.24110.75892
931413.37770.622336
941314.0846-1.08459
951615.02790.972065
961212.8691-0.869088
971414.9386-0.938613
981714.95322.04681
991515.12-0.119998
1001715.1381.862
1011213.0083-1.00829
1021614.96851.03146
1031114.4794-3.47937
1041513.1561.84397
105911.4488-2.44878
1061614.92661.07339
1071512.93772.06234
1081012.8436-2.84362
109109.316980.683025
1101513.93441.06556
1111113.1845-2.18446
1121315.314-2.31399
1131411.89512.1049
1141814.17223.82778
1151615.51430.485744
1161412.99271.00732
1171413.91270.0872702
1181415.0997-1.09974
1191413.69990.300056
1201212.5627-0.562707
1211413.53150.468485
1221514.89030.10975
1231515.8227-0.822674
1241514.51880.481228
1251314.6645-1.66448
1261716.1420.857975
1271715.20431.79574
1281914.95494.04505
1291513.58241.41756
1301314.6056-1.60564
131910.6903-1.69034
1321515.2495-0.249501
1331512.6162.38396
1341514.18320.816761
1351613.70762.29242
136119.477081.52292
1371413.29220.707849
1381112.0011-1.00114
1391514.18790.812099
1401313.7978-0.797772
1411514.59060.409418
1421613.81642.18361
1431414.5413-0.541302
1441514.18860.811416
1451614.60631.39366
1461614.33251.66746
1471113.3092-2.30923
1481214.5693-2.56926
149911.5145-2.5145
1501614.25381.74622
1511312.43440.565571
1521615.31120.688759
1531214.4082-2.40817
154911.525-2.52498
1551311.78741.21256
1561312.54720.452829
1571413.33020.669843
1581914.82464.17544
1591315.5153-2.51533
1601212.0739-0.0739022
1611312.57250.427513
162109.373610.626394
1631413.26410.735933
1641611.46734.53271
1651011.9467-1.94668
166119.220921.77908
1671414.0939-0.0938969
1681212.8497-0.849722
169912.683-3.68299
170911.877-2.877
1711110.62070.379279
1721614.10221.89777
173913.9629-4.96291
1741311.36661.63341
1751613.29142.70857
1761315.1722-2.17221
177912.3187-3.31869
1781211.48210.517872
1791614.49021.50984
1801113.1078-2.10784
1811413.95220.0478436
1821314.7227-1.72271
1831514.51310.486917
1841414.8236-0.823592
1851614.06261.93744
1861311.54321.45685
1871413.40120.598787
1881514.16770.832324
1891312.41910.580863
1901110.32340.676636
1911112.3641-1.36415
1921414.8197-0.819691
1931512.76332.23673
1941112.3954-1.39542
1951513.03171.96829
1961213.9022-1.90223
1971411.65972.34026
1981413.27860.721447
199811.0612-3.06117
2001313.6078-0.607845
201912.0307-3.03072
2021513.64861.35144
2031713.94573.05427
2041312.42530.574732
2051514.31170.68829
2061513.5751.425
2071414.3743-0.374329
2081612.31893.68108
2091312.79890.201127
2101614.15181.84822
211911.5555-2.55548
2121614.39441.60564
2131112.1205-1.12046
2141013.732-3.73204
2151111.9337-0.933712
2161513.13911.8609
2171714.68862.31138
2181414.0819-0.0819401
21989.83648-1.83648
2201513.40441.59559
2211113.6868-2.68683
2221613.33442.66561
2231011.9236-1.9236
2241514.66450.335535
22599.34386-0.343857
2261614.23651.76355
2271913.59765.40244
2281213.4352-1.43522
22989.39096-1.39096
2301113.1856-2.18559
2311413.68030.319686
232911.9055-2.90549
2331514.73310.26693
2341312.1220.878031
2351614.67121.32881
2361112.6382-1.6382
2371211.31590.684059
2381312.57230.427692
2391014.0682-4.06823
2401113.4001-2.40008
2411214.6489-2.64895
242810.4888-2.48876
2431211.66520.334809
2441212.087-0.0869992
2451513.28931.7107
2461110.57350.426549
2471312.52110.478901
248148.663525.33648
2491010.0793-0.0792883
2501211.32270.677314
2511512.68012.31992
2521311.69511.30493
2531313.9354-0.935408
2541313.4389-0.438894
2551211.57020.429844
2561212.3813-0.381283
257910.4954-1.49541
258911.243-2.24298
2591512.26482.73524
2601014.7045-4.70446
2611413.33920.660758
2621513.19471.80533
26379.60646-2.60646
2641413.54590.454067

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 14 & 14.1264 & -0.1264 \tabularnewline
2 & 18 & 15.4701 & 2.52988 \tabularnewline
3 & 11 & 14.1022 & -3.10217 \tabularnewline
4 & 12 & 14.7674 & -2.76736 \tabularnewline
5 & 16 & 11.463 & 4.53704 \tabularnewline
6 & 18 & 14.6878 & 3.31223 \tabularnewline
7 & 14 & 10.9853 & 3.01469 \tabularnewline
8 & 14 & 15.2187 & -1.2187 \tabularnewline
9 & 15 & 15.3931 & -0.393091 \tabularnewline
10 & 15 & 14.5902 & 0.409841 \tabularnewline
11 & 17 & 15.7189 & 1.28114 \tabularnewline
12 & 19 & 15.7485 & 3.25148 \tabularnewline
13 & 10 & 13.5804 & -3.58039 \tabularnewline
14 & 16 & 13.6556 & 2.34436 \tabularnewline
15 & 18 & 15.8647 & 2.13526 \tabularnewline
16 & 14 & 13.5712 & 0.428828 \tabularnewline
17 & 14 & 14.0382 & -0.0381979 \tabularnewline
18 & 17 & 15.8922 & 1.10781 \tabularnewline
19 & 14 & 15.5388 & -1.53882 \tabularnewline
20 & 16 & 13.9723 & 2.02769 \tabularnewline
21 & 18 & 15.5007 & 2.49927 \tabularnewline
22 & 11 & 13.8945 & -2.89453 \tabularnewline
23 & 14 & 14.5197 & -0.519733 \tabularnewline
24 & 12 & 13.7256 & -1.72561 \tabularnewline
25 & 17 & 15.4793 & 1.52067 \tabularnewline
26 & 9 & 15.9894 & -6.98939 \tabularnewline
27 & 16 & 15.1729 & 0.827141 \tabularnewline
28 & 14 & 13.4461 & 0.55385 \tabularnewline
29 & 15 & 14.0481 & 0.951933 \tabularnewline
30 & 11 & 14.1404 & -3.14042 \tabularnewline
31 & 16 & 15.8443 & 0.1557 \tabularnewline
32 & 13 & 12.8925 & 0.107546 \tabularnewline
33 & 17 & 15.2303 & 1.76972 \tabularnewline
34 & 15 & 15.4193 & -0.419344 \tabularnewline
35 & 14 & 14.0724 & -0.072446 \tabularnewline
36 & 16 & 15.7464 & 0.25361 \tabularnewline
37 & 9 & 11.0565 & -2.05654 \tabularnewline
38 & 15 & 14.4394 & 0.560571 \tabularnewline
39 & 17 & 15.4798 & 1.52018 \tabularnewline
40 & 13 & 15.3373 & -2.33725 \tabularnewline
41 & 15 & 15.8138 & -0.813785 \tabularnewline
42 & 16 & 13.7686 & 2.23144 \tabularnewline
43 & 16 & 15.822 & 0.177984 \tabularnewline
44 & 12 & 13.2607 & -1.26066 \tabularnewline
45 & 15 & 14.7357 & 0.264337 \tabularnewline
46 & 11 & 13.7223 & -2.72229 \tabularnewline
47 & 15 & 15.4456 & -0.445633 \tabularnewline
48 & 15 & 14.9929 & 0.00708446 \tabularnewline
49 & 17 & 13.5849 & 3.41505 \tabularnewline
50 & 13 & 14.8349 & -1.83495 \tabularnewline
51 & 16 & 15.2887 & 0.711283 \tabularnewline
52 & 14 & 13.5652 & 0.434835 \tabularnewline
53 & 11 & 11.8041 & -0.804099 \tabularnewline
54 & 12 & 13.7681 & -1.76807 \tabularnewline
55 & 12 & 14.2856 & -2.28562 \tabularnewline
56 & 15 & 13.8303 & 1.1697 \tabularnewline
57 & 16 & 14.2573 & 1.74272 \tabularnewline
58 & 15 & 15.5264 & -0.52645 \tabularnewline
59 & 12 & 15.2527 & -3.2527 \tabularnewline
60 & 12 & 13.486 & -1.48604 \tabularnewline
61 & 8 & 10.9157 & -2.91575 \tabularnewline
62 & 13 & 14.6365 & -1.63647 \tabularnewline
63 & 11 & 14.6686 & -3.66857 \tabularnewline
64 & 14 & 13.1561 & 0.843948 \tabularnewline
65 & 15 & 13.6692 & 1.33084 \tabularnewline
66 & 10 & 15.1785 & -5.1785 \tabularnewline
67 & 11 & 12.7016 & -1.70157 \tabularnewline
68 & 12 & 14.5766 & -2.57657 \tabularnewline
69 & 15 & 13.6605 & 1.33948 \tabularnewline
70 & 15 & 13.7397 & 1.26025 \tabularnewline
71 & 14 & 13.7441 & 0.255886 \tabularnewline
72 & 16 & 12.8615 & 3.13851 \tabularnewline
73 & 15 & 14.4889 & 0.511105 \tabularnewline
74 & 15 & 15.2815 & -0.281527 \tabularnewline
75 & 13 & 15.0441 & -2.04407 \tabularnewline
76 & 12 & 12.299 & -0.299012 \tabularnewline
77 & 17 & 14.0748 & 2.92524 \tabularnewline
78 & 13 & 12.6187 & 0.381321 \tabularnewline
79 & 15 & 13.9378 & 1.06224 \tabularnewline
80 & 13 & 15.0098 & -2.00981 \tabularnewline
81 & 15 & 14.9766 & 0.0234235 \tabularnewline
82 & 15 & 15.5829 & -0.582923 \tabularnewline
83 & 16 & 14.3554 & 1.64463 \tabularnewline
84 & 15 & 14.3925 & 0.607477 \tabularnewline
85 & 14 & 14.2353 & -0.235348 \tabularnewline
86 & 15 & 14.1388 & 0.861246 \tabularnewline
87 & 14 & 14.35 & -0.349996 \tabularnewline
88 & 13 & 12.8475 & 0.152511 \tabularnewline
89 & 7 & 10.6616 & -3.66163 \tabularnewline
90 & 17 & 13.8997 & 3.10033 \tabularnewline
91 & 13 & 12.8297 & 0.170321 \tabularnewline
92 & 15 & 14.2411 & 0.75892 \tabularnewline
93 & 14 & 13.3777 & 0.622336 \tabularnewline
94 & 13 & 14.0846 & -1.08459 \tabularnewline
95 & 16 & 15.0279 & 0.972065 \tabularnewline
96 & 12 & 12.8691 & -0.869088 \tabularnewline
97 & 14 & 14.9386 & -0.938613 \tabularnewline
98 & 17 & 14.9532 & 2.04681 \tabularnewline
99 & 15 & 15.12 & -0.119998 \tabularnewline
100 & 17 & 15.138 & 1.862 \tabularnewline
101 & 12 & 13.0083 & -1.00829 \tabularnewline
102 & 16 & 14.9685 & 1.03146 \tabularnewline
103 & 11 & 14.4794 & -3.47937 \tabularnewline
104 & 15 & 13.156 & 1.84397 \tabularnewline
105 & 9 & 11.4488 & -2.44878 \tabularnewline
106 & 16 & 14.9266 & 1.07339 \tabularnewline
107 & 15 & 12.9377 & 2.06234 \tabularnewline
108 & 10 & 12.8436 & -2.84362 \tabularnewline
109 & 10 & 9.31698 & 0.683025 \tabularnewline
110 & 15 & 13.9344 & 1.06556 \tabularnewline
111 & 11 & 13.1845 & -2.18446 \tabularnewline
112 & 13 & 15.314 & -2.31399 \tabularnewline
113 & 14 & 11.8951 & 2.1049 \tabularnewline
114 & 18 & 14.1722 & 3.82778 \tabularnewline
115 & 16 & 15.5143 & 0.485744 \tabularnewline
116 & 14 & 12.9927 & 1.00732 \tabularnewline
117 & 14 & 13.9127 & 0.0872702 \tabularnewline
118 & 14 & 15.0997 & -1.09974 \tabularnewline
119 & 14 & 13.6999 & 0.300056 \tabularnewline
120 & 12 & 12.5627 & -0.562707 \tabularnewline
121 & 14 & 13.5315 & 0.468485 \tabularnewline
122 & 15 & 14.8903 & 0.10975 \tabularnewline
123 & 15 & 15.8227 & -0.822674 \tabularnewline
124 & 15 & 14.5188 & 0.481228 \tabularnewline
125 & 13 & 14.6645 & -1.66448 \tabularnewline
126 & 17 & 16.142 & 0.857975 \tabularnewline
127 & 17 & 15.2043 & 1.79574 \tabularnewline
128 & 19 & 14.9549 & 4.04505 \tabularnewline
129 & 15 & 13.5824 & 1.41756 \tabularnewline
130 & 13 & 14.6056 & -1.60564 \tabularnewline
131 & 9 & 10.6903 & -1.69034 \tabularnewline
132 & 15 & 15.2495 & -0.249501 \tabularnewline
133 & 15 & 12.616 & 2.38396 \tabularnewline
134 & 15 & 14.1832 & 0.816761 \tabularnewline
135 & 16 & 13.7076 & 2.29242 \tabularnewline
136 & 11 & 9.47708 & 1.52292 \tabularnewline
137 & 14 & 13.2922 & 0.707849 \tabularnewline
138 & 11 & 12.0011 & -1.00114 \tabularnewline
139 & 15 & 14.1879 & 0.812099 \tabularnewline
140 & 13 & 13.7978 & -0.797772 \tabularnewline
141 & 15 & 14.5906 & 0.409418 \tabularnewline
142 & 16 & 13.8164 & 2.18361 \tabularnewline
143 & 14 & 14.5413 & -0.541302 \tabularnewline
144 & 15 & 14.1886 & 0.811416 \tabularnewline
145 & 16 & 14.6063 & 1.39366 \tabularnewline
146 & 16 & 14.3325 & 1.66746 \tabularnewline
147 & 11 & 13.3092 & -2.30923 \tabularnewline
148 & 12 & 14.5693 & -2.56926 \tabularnewline
149 & 9 & 11.5145 & -2.5145 \tabularnewline
150 & 16 & 14.2538 & 1.74622 \tabularnewline
151 & 13 & 12.4344 & 0.565571 \tabularnewline
152 & 16 & 15.3112 & 0.688759 \tabularnewline
153 & 12 & 14.4082 & -2.40817 \tabularnewline
154 & 9 & 11.525 & -2.52498 \tabularnewline
155 & 13 & 11.7874 & 1.21256 \tabularnewline
156 & 13 & 12.5472 & 0.452829 \tabularnewline
157 & 14 & 13.3302 & 0.669843 \tabularnewline
158 & 19 & 14.8246 & 4.17544 \tabularnewline
159 & 13 & 15.5153 & -2.51533 \tabularnewline
160 & 12 & 12.0739 & -0.0739022 \tabularnewline
161 & 13 & 12.5725 & 0.427513 \tabularnewline
162 & 10 & 9.37361 & 0.626394 \tabularnewline
163 & 14 & 13.2641 & 0.735933 \tabularnewline
164 & 16 & 11.4673 & 4.53271 \tabularnewline
165 & 10 & 11.9467 & -1.94668 \tabularnewline
166 & 11 & 9.22092 & 1.77908 \tabularnewline
167 & 14 & 14.0939 & -0.0938969 \tabularnewline
168 & 12 & 12.8497 & -0.849722 \tabularnewline
169 & 9 & 12.683 & -3.68299 \tabularnewline
170 & 9 & 11.877 & -2.877 \tabularnewline
171 & 11 & 10.6207 & 0.379279 \tabularnewline
172 & 16 & 14.1022 & 1.89777 \tabularnewline
173 & 9 & 13.9629 & -4.96291 \tabularnewline
174 & 13 & 11.3666 & 1.63341 \tabularnewline
175 & 16 & 13.2914 & 2.70857 \tabularnewline
176 & 13 & 15.1722 & -2.17221 \tabularnewline
177 & 9 & 12.3187 & -3.31869 \tabularnewline
178 & 12 & 11.4821 & 0.517872 \tabularnewline
179 & 16 & 14.4902 & 1.50984 \tabularnewline
180 & 11 & 13.1078 & -2.10784 \tabularnewline
181 & 14 & 13.9522 & 0.0478436 \tabularnewline
182 & 13 & 14.7227 & -1.72271 \tabularnewline
183 & 15 & 14.5131 & 0.486917 \tabularnewline
184 & 14 & 14.8236 & -0.823592 \tabularnewline
185 & 16 & 14.0626 & 1.93744 \tabularnewline
186 & 13 & 11.5432 & 1.45685 \tabularnewline
187 & 14 & 13.4012 & 0.598787 \tabularnewline
188 & 15 & 14.1677 & 0.832324 \tabularnewline
189 & 13 & 12.4191 & 0.580863 \tabularnewline
190 & 11 & 10.3234 & 0.676636 \tabularnewline
191 & 11 & 12.3641 & -1.36415 \tabularnewline
192 & 14 & 14.8197 & -0.819691 \tabularnewline
193 & 15 & 12.7633 & 2.23673 \tabularnewline
194 & 11 & 12.3954 & -1.39542 \tabularnewline
195 & 15 & 13.0317 & 1.96829 \tabularnewline
196 & 12 & 13.9022 & -1.90223 \tabularnewline
197 & 14 & 11.6597 & 2.34026 \tabularnewline
198 & 14 & 13.2786 & 0.721447 \tabularnewline
199 & 8 & 11.0612 & -3.06117 \tabularnewline
200 & 13 & 13.6078 & -0.607845 \tabularnewline
201 & 9 & 12.0307 & -3.03072 \tabularnewline
202 & 15 & 13.6486 & 1.35144 \tabularnewline
203 & 17 & 13.9457 & 3.05427 \tabularnewline
204 & 13 & 12.4253 & 0.574732 \tabularnewline
205 & 15 & 14.3117 & 0.68829 \tabularnewline
206 & 15 & 13.575 & 1.425 \tabularnewline
207 & 14 & 14.3743 & -0.374329 \tabularnewline
208 & 16 & 12.3189 & 3.68108 \tabularnewline
209 & 13 & 12.7989 & 0.201127 \tabularnewline
210 & 16 & 14.1518 & 1.84822 \tabularnewline
211 & 9 & 11.5555 & -2.55548 \tabularnewline
212 & 16 & 14.3944 & 1.60564 \tabularnewline
213 & 11 & 12.1205 & -1.12046 \tabularnewline
214 & 10 & 13.732 & -3.73204 \tabularnewline
215 & 11 & 11.9337 & -0.933712 \tabularnewline
216 & 15 & 13.1391 & 1.8609 \tabularnewline
217 & 17 & 14.6886 & 2.31138 \tabularnewline
218 & 14 & 14.0819 & -0.0819401 \tabularnewline
219 & 8 & 9.83648 & -1.83648 \tabularnewline
220 & 15 & 13.4044 & 1.59559 \tabularnewline
221 & 11 & 13.6868 & -2.68683 \tabularnewline
222 & 16 & 13.3344 & 2.66561 \tabularnewline
223 & 10 & 11.9236 & -1.9236 \tabularnewline
224 & 15 & 14.6645 & 0.335535 \tabularnewline
225 & 9 & 9.34386 & -0.343857 \tabularnewline
226 & 16 & 14.2365 & 1.76355 \tabularnewline
227 & 19 & 13.5976 & 5.40244 \tabularnewline
228 & 12 & 13.4352 & -1.43522 \tabularnewline
229 & 8 & 9.39096 & -1.39096 \tabularnewline
230 & 11 & 13.1856 & -2.18559 \tabularnewline
231 & 14 & 13.6803 & 0.319686 \tabularnewline
232 & 9 & 11.9055 & -2.90549 \tabularnewline
233 & 15 & 14.7331 & 0.26693 \tabularnewline
234 & 13 & 12.122 & 0.878031 \tabularnewline
235 & 16 & 14.6712 & 1.32881 \tabularnewline
236 & 11 & 12.6382 & -1.6382 \tabularnewline
237 & 12 & 11.3159 & 0.684059 \tabularnewline
238 & 13 & 12.5723 & 0.427692 \tabularnewline
239 & 10 & 14.0682 & -4.06823 \tabularnewline
240 & 11 & 13.4001 & -2.40008 \tabularnewline
241 & 12 & 14.6489 & -2.64895 \tabularnewline
242 & 8 & 10.4888 & -2.48876 \tabularnewline
243 & 12 & 11.6652 & 0.334809 \tabularnewline
244 & 12 & 12.087 & -0.0869992 \tabularnewline
245 & 15 & 13.2893 & 1.7107 \tabularnewline
246 & 11 & 10.5735 & 0.426549 \tabularnewline
247 & 13 & 12.5211 & 0.478901 \tabularnewline
248 & 14 & 8.66352 & 5.33648 \tabularnewline
249 & 10 & 10.0793 & -0.0792883 \tabularnewline
250 & 12 & 11.3227 & 0.677314 \tabularnewline
251 & 15 & 12.6801 & 2.31992 \tabularnewline
252 & 13 & 11.6951 & 1.30493 \tabularnewline
253 & 13 & 13.9354 & -0.935408 \tabularnewline
254 & 13 & 13.4389 & -0.438894 \tabularnewline
255 & 12 & 11.5702 & 0.429844 \tabularnewline
256 & 12 & 12.3813 & -0.381283 \tabularnewline
257 & 9 & 10.4954 & -1.49541 \tabularnewline
258 & 9 & 11.243 & -2.24298 \tabularnewline
259 & 15 & 12.2648 & 2.73524 \tabularnewline
260 & 10 & 14.7045 & -4.70446 \tabularnewline
261 & 14 & 13.3392 & 0.660758 \tabularnewline
262 & 15 & 13.1947 & 1.80533 \tabularnewline
263 & 7 & 9.60646 & -2.60646 \tabularnewline
264 & 14 & 13.5459 & 0.454067 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226557&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]14[/C][C]14.1264[/C][C]-0.1264[/C][/ROW]
[ROW][C]2[/C][C]18[/C][C]15.4701[/C][C]2.52988[/C][/ROW]
[ROW][C]3[/C][C]11[/C][C]14.1022[/C][C]-3.10217[/C][/ROW]
[ROW][C]4[/C][C]12[/C][C]14.7674[/C][C]-2.76736[/C][/ROW]
[ROW][C]5[/C][C]16[/C][C]11.463[/C][C]4.53704[/C][/ROW]
[ROW][C]6[/C][C]18[/C][C]14.6878[/C][C]3.31223[/C][/ROW]
[ROW][C]7[/C][C]14[/C][C]10.9853[/C][C]3.01469[/C][/ROW]
[ROW][C]8[/C][C]14[/C][C]15.2187[/C][C]-1.2187[/C][/ROW]
[ROW][C]9[/C][C]15[/C][C]15.3931[/C][C]-0.393091[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]14.5902[/C][C]0.409841[/C][/ROW]
[ROW][C]11[/C][C]17[/C][C]15.7189[/C][C]1.28114[/C][/ROW]
[ROW][C]12[/C][C]19[/C][C]15.7485[/C][C]3.25148[/C][/ROW]
[ROW][C]13[/C][C]10[/C][C]13.5804[/C][C]-3.58039[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]13.6556[/C][C]2.34436[/C][/ROW]
[ROW][C]15[/C][C]18[/C][C]15.8647[/C][C]2.13526[/C][/ROW]
[ROW][C]16[/C][C]14[/C][C]13.5712[/C][C]0.428828[/C][/ROW]
[ROW][C]17[/C][C]14[/C][C]14.0382[/C][C]-0.0381979[/C][/ROW]
[ROW][C]18[/C][C]17[/C][C]15.8922[/C][C]1.10781[/C][/ROW]
[ROW][C]19[/C][C]14[/C][C]15.5388[/C][C]-1.53882[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]13.9723[/C][C]2.02769[/C][/ROW]
[ROW][C]21[/C][C]18[/C][C]15.5007[/C][C]2.49927[/C][/ROW]
[ROW][C]22[/C][C]11[/C][C]13.8945[/C][C]-2.89453[/C][/ROW]
[ROW][C]23[/C][C]14[/C][C]14.5197[/C][C]-0.519733[/C][/ROW]
[ROW][C]24[/C][C]12[/C][C]13.7256[/C][C]-1.72561[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]15.4793[/C][C]1.52067[/C][/ROW]
[ROW][C]26[/C][C]9[/C][C]15.9894[/C][C]-6.98939[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]15.1729[/C][C]0.827141[/C][/ROW]
[ROW][C]28[/C][C]14[/C][C]13.4461[/C][C]0.55385[/C][/ROW]
[ROW][C]29[/C][C]15[/C][C]14.0481[/C][C]0.951933[/C][/ROW]
[ROW][C]30[/C][C]11[/C][C]14.1404[/C][C]-3.14042[/C][/ROW]
[ROW][C]31[/C][C]16[/C][C]15.8443[/C][C]0.1557[/C][/ROW]
[ROW][C]32[/C][C]13[/C][C]12.8925[/C][C]0.107546[/C][/ROW]
[ROW][C]33[/C][C]17[/C][C]15.2303[/C][C]1.76972[/C][/ROW]
[ROW][C]34[/C][C]15[/C][C]15.4193[/C][C]-0.419344[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]14.0724[/C][C]-0.072446[/C][/ROW]
[ROW][C]36[/C][C]16[/C][C]15.7464[/C][C]0.25361[/C][/ROW]
[ROW][C]37[/C][C]9[/C][C]11.0565[/C][C]-2.05654[/C][/ROW]
[ROW][C]38[/C][C]15[/C][C]14.4394[/C][C]0.560571[/C][/ROW]
[ROW][C]39[/C][C]17[/C][C]15.4798[/C][C]1.52018[/C][/ROW]
[ROW][C]40[/C][C]13[/C][C]15.3373[/C][C]-2.33725[/C][/ROW]
[ROW][C]41[/C][C]15[/C][C]15.8138[/C][C]-0.813785[/C][/ROW]
[ROW][C]42[/C][C]16[/C][C]13.7686[/C][C]2.23144[/C][/ROW]
[ROW][C]43[/C][C]16[/C][C]15.822[/C][C]0.177984[/C][/ROW]
[ROW][C]44[/C][C]12[/C][C]13.2607[/C][C]-1.26066[/C][/ROW]
[ROW][C]45[/C][C]15[/C][C]14.7357[/C][C]0.264337[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]13.7223[/C][C]-2.72229[/C][/ROW]
[ROW][C]47[/C][C]15[/C][C]15.4456[/C][C]-0.445633[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.9929[/C][C]0.00708446[/C][/ROW]
[ROW][C]49[/C][C]17[/C][C]13.5849[/C][C]3.41505[/C][/ROW]
[ROW][C]50[/C][C]13[/C][C]14.8349[/C][C]-1.83495[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]15.2887[/C][C]0.711283[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]13.5652[/C][C]0.434835[/C][/ROW]
[ROW][C]53[/C][C]11[/C][C]11.8041[/C][C]-0.804099[/C][/ROW]
[ROW][C]54[/C][C]12[/C][C]13.7681[/C][C]-1.76807[/C][/ROW]
[ROW][C]55[/C][C]12[/C][C]14.2856[/C][C]-2.28562[/C][/ROW]
[ROW][C]56[/C][C]15[/C][C]13.8303[/C][C]1.1697[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]14.2573[/C][C]1.74272[/C][/ROW]
[ROW][C]58[/C][C]15[/C][C]15.5264[/C][C]-0.52645[/C][/ROW]
[ROW][C]59[/C][C]12[/C][C]15.2527[/C][C]-3.2527[/C][/ROW]
[ROW][C]60[/C][C]12[/C][C]13.486[/C][C]-1.48604[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]10.9157[/C][C]-2.91575[/C][/ROW]
[ROW][C]62[/C][C]13[/C][C]14.6365[/C][C]-1.63647[/C][/ROW]
[ROW][C]63[/C][C]11[/C][C]14.6686[/C][C]-3.66857[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]13.1561[/C][C]0.843948[/C][/ROW]
[ROW][C]65[/C][C]15[/C][C]13.6692[/C][C]1.33084[/C][/ROW]
[ROW][C]66[/C][C]10[/C][C]15.1785[/C][C]-5.1785[/C][/ROW]
[ROW][C]67[/C][C]11[/C][C]12.7016[/C][C]-1.70157[/C][/ROW]
[ROW][C]68[/C][C]12[/C][C]14.5766[/C][C]-2.57657[/C][/ROW]
[ROW][C]69[/C][C]15[/C][C]13.6605[/C][C]1.33948[/C][/ROW]
[ROW][C]70[/C][C]15[/C][C]13.7397[/C][C]1.26025[/C][/ROW]
[ROW][C]71[/C][C]14[/C][C]13.7441[/C][C]0.255886[/C][/ROW]
[ROW][C]72[/C][C]16[/C][C]12.8615[/C][C]3.13851[/C][/ROW]
[ROW][C]73[/C][C]15[/C][C]14.4889[/C][C]0.511105[/C][/ROW]
[ROW][C]74[/C][C]15[/C][C]15.2815[/C][C]-0.281527[/C][/ROW]
[ROW][C]75[/C][C]13[/C][C]15.0441[/C][C]-2.04407[/C][/ROW]
[ROW][C]76[/C][C]12[/C][C]12.299[/C][C]-0.299012[/C][/ROW]
[ROW][C]77[/C][C]17[/C][C]14.0748[/C][C]2.92524[/C][/ROW]
[ROW][C]78[/C][C]13[/C][C]12.6187[/C][C]0.381321[/C][/ROW]
[ROW][C]79[/C][C]15[/C][C]13.9378[/C][C]1.06224[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]15.0098[/C][C]-2.00981[/C][/ROW]
[ROW][C]81[/C][C]15[/C][C]14.9766[/C][C]0.0234235[/C][/ROW]
[ROW][C]82[/C][C]15[/C][C]15.5829[/C][C]-0.582923[/C][/ROW]
[ROW][C]83[/C][C]16[/C][C]14.3554[/C][C]1.64463[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]14.3925[/C][C]0.607477[/C][/ROW]
[ROW][C]85[/C][C]14[/C][C]14.2353[/C][C]-0.235348[/C][/ROW]
[ROW][C]86[/C][C]15[/C][C]14.1388[/C][C]0.861246[/C][/ROW]
[ROW][C]87[/C][C]14[/C][C]14.35[/C][C]-0.349996[/C][/ROW]
[ROW][C]88[/C][C]13[/C][C]12.8475[/C][C]0.152511[/C][/ROW]
[ROW][C]89[/C][C]7[/C][C]10.6616[/C][C]-3.66163[/C][/ROW]
[ROW][C]90[/C][C]17[/C][C]13.8997[/C][C]3.10033[/C][/ROW]
[ROW][C]91[/C][C]13[/C][C]12.8297[/C][C]0.170321[/C][/ROW]
[ROW][C]92[/C][C]15[/C][C]14.2411[/C][C]0.75892[/C][/ROW]
[ROW][C]93[/C][C]14[/C][C]13.3777[/C][C]0.622336[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]14.0846[/C][C]-1.08459[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]15.0279[/C][C]0.972065[/C][/ROW]
[ROW][C]96[/C][C]12[/C][C]12.8691[/C][C]-0.869088[/C][/ROW]
[ROW][C]97[/C][C]14[/C][C]14.9386[/C][C]-0.938613[/C][/ROW]
[ROW][C]98[/C][C]17[/C][C]14.9532[/C][C]2.04681[/C][/ROW]
[ROW][C]99[/C][C]15[/C][C]15.12[/C][C]-0.119998[/C][/ROW]
[ROW][C]100[/C][C]17[/C][C]15.138[/C][C]1.862[/C][/ROW]
[ROW][C]101[/C][C]12[/C][C]13.0083[/C][C]-1.00829[/C][/ROW]
[ROW][C]102[/C][C]16[/C][C]14.9685[/C][C]1.03146[/C][/ROW]
[ROW][C]103[/C][C]11[/C][C]14.4794[/C][C]-3.47937[/C][/ROW]
[ROW][C]104[/C][C]15[/C][C]13.156[/C][C]1.84397[/C][/ROW]
[ROW][C]105[/C][C]9[/C][C]11.4488[/C][C]-2.44878[/C][/ROW]
[ROW][C]106[/C][C]16[/C][C]14.9266[/C][C]1.07339[/C][/ROW]
[ROW][C]107[/C][C]15[/C][C]12.9377[/C][C]2.06234[/C][/ROW]
[ROW][C]108[/C][C]10[/C][C]12.8436[/C][C]-2.84362[/C][/ROW]
[ROW][C]109[/C][C]10[/C][C]9.31698[/C][C]0.683025[/C][/ROW]
[ROW][C]110[/C][C]15[/C][C]13.9344[/C][C]1.06556[/C][/ROW]
[ROW][C]111[/C][C]11[/C][C]13.1845[/C][C]-2.18446[/C][/ROW]
[ROW][C]112[/C][C]13[/C][C]15.314[/C][C]-2.31399[/C][/ROW]
[ROW][C]113[/C][C]14[/C][C]11.8951[/C][C]2.1049[/C][/ROW]
[ROW][C]114[/C][C]18[/C][C]14.1722[/C][C]3.82778[/C][/ROW]
[ROW][C]115[/C][C]16[/C][C]15.5143[/C][C]0.485744[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]12.9927[/C][C]1.00732[/C][/ROW]
[ROW][C]117[/C][C]14[/C][C]13.9127[/C][C]0.0872702[/C][/ROW]
[ROW][C]118[/C][C]14[/C][C]15.0997[/C][C]-1.09974[/C][/ROW]
[ROW][C]119[/C][C]14[/C][C]13.6999[/C][C]0.300056[/C][/ROW]
[ROW][C]120[/C][C]12[/C][C]12.5627[/C][C]-0.562707[/C][/ROW]
[ROW][C]121[/C][C]14[/C][C]13.5315[/C][C]0.468485[/C][/ROW]
[ROW][C]122[/C][C]15[/C][C]14.8903[/C][C]0.10975[/C][/ROW]
[ROW][C]123[/C][C]15[/C][C]15.8227[/C][C]-0.822674[/C][/ROW]
[ROW][C]124[/C][C]15[/C][C]14.5188[/C][C]0.481228[/C][/ROW]
[ROW][C]125[/C][C]13[/C][C]14.6645[/C][C]-1.66448[/C][/ROW]
[ROW][C]126[/C][C]17[/C][C]16.142[/C][C]0.857975[/C][/ROW]
[ROW][C]127[/C][C]17[/C][C]15.2043[/C][C]1.79574[/C][/ROW]
[ROW][C]128[/C][C]19[/C][C]14.9549[/C][C]4.04505[/C][/ROW]
[ROW][C]129[/C][C]15[/C][C]13.5824[/C][C]1.41756[/C][/ROW]
[ROW][C]130[/C][C]13[/C][C]14.6056[/C][C]-1.60564[/C][/ROW]
[ROW][C]131[/C][C]9[/C][C]10.6903[/C][C]-1.69034[/C][/ROW]
[ROW][C]132[/C][C]15[/C][C]15.2495[/C][C]-0.249501[/C][/ROW]
[ROW][C]133[/C][C]15[/C][C]12.616[/C][C]2.38396[/C][/ROW]
[ROW][C]134[/C][C]15[/C][C]14.1832[/C][C]0.816761[/C][/ROW]
[ROW][C]135[/C][C]16[/C][C]13.7076[/C][C]2.29242[/C][/ROW]
[ROW][C]136[/C][C]11[/C][C]9.47708[/C][C]1.52292[/C][/ROW]
[ROW][C]137[/C][C]14[/C][C]13.2922[/C][C]0.707849[/C][/ROW]
[ROW][C]138[/C][C]11[/C][C]12.0011[/C][C]-1.00114[/C][/ROW]
[ROW][C]139[/C][C]15[/C][C]14.1879[/C][C]0.812099[/C][/ROW]
[ROW][C]140[/C][C]13[/C][C]13.7978[/C][C]-0.797772[/C][/ROW]
[ROW][C]141[/C][C]15[/C][C]14.5906[/C][C]0.409418[/C][/ROW]
[ROW][C]142[/C][C]16[/C][C]13.8164[/C][C]2.18361[/C][/ROW]
[ROW][C]143[/C][C]14[/C][C]14.5413[/C][C]-0.541302[/C][/ROW]
[ROW][C]144[/C][C]15[/C][C]14.1886[/C][C]0.811416[/C][/ROW]
[ROW][C]145[/C][C]16[/C][C]14.6063[/C][C]1.39366[/C][/ROW]
[ROW][C]146[/C][C]16[/C][C]14.3325[/C][C]1.66746[/C][/ROW]
[ROW][C]147[/C][C]11[/C][C]13.3092[/C][C]-2.30923[/C][/ROW]
[ROW][C]148[/C][C]12[/C][C]14.5693[/C][C]-2.56926[/C][/ROW]
[ROW][C]149[/C][C]9[/C][C]11.5145[/C][C]-2.5145[/C][/ROW]
[ROW][C]150[/C][C]16[/C][C]14.2538[/C][C]1.74622[/C][/ROW]
[ROW][C]151[/C][C]13[/C][C]12.4344[/C][C]0.565571[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]15.3112[/C][C]0.688759[/C][/ROW]
[ROW][C]153[/C][C]12[/C][C]14.4082[/C][C]-2.40817[/C][/ROW]
[ROW][C]154[/C][C]9[/C][C]11.525[/C][C]-2.52498[/C][/ROW]
[ROW][C]155[/C][C]13[/C][C]11.7874[/C][C]1.21256[/C][/ROW]
[ROW][C]156[/C][C]13[/C][C]12.5472[/C][C]0.452829[/C][/ROW]
[ROW][C]157[/C][C]14[/C][C]13.3302[/C][C]0.669843[/C][/ROW]
[ROW][C]158[/C][C]19[/C][C]14.8246[/C][C]4.17544[/C][/ROW]
[ROW][C]159[/C][C]13[/C][C]15.5153[/C][C]-2.51533[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]12.0739[/C][C]-0.0739022[/C][/ROW]
[ROW][C]161[/C][C]13[/C][C]12.5725[/C][C]0.427513[/C][/ROW]
[ROW][C]162[/C][C]10[/C][C]9.37361[/C][C]0.626394[/C][/ROW]
[ROW][C]163[/C][C]14[/C][C]13.2641[/C][C]0.735933[/C][/ROW]
[ROW][C]164[/C][C]16[/C][C]11.4673[/C][C]4.53271[/C][/ROW]
[ROW][C]165[/C][C]10[/C][C]11.9467[/C][C]-1.94668[/C][/ROW]
[ROW][C]166[/C][C]11[/C][C]9.22092[/C][C]1.77908[/C][/ROW]
[ROW][C]167[/C][C]14[/C][C]14.0939[/C][C]-0.0938969[/C][/ROW]
[ROW][C]168[/C][C]12[/C][C]12.8497[/C][C]-0.849722[/C][/ROW]
[ROW][C]169[/C][C]9[/C][C]12.683[/C][C]-3.68299[/C][/ROW]
[ROW][C]170[/C][C]9[/C][C]11.877[/C][C]-2.877[/C][/ROW]
[ROW][C]171[/C][C]11[/C][C]10.6207[/C][C]0.379279[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]14.1022[/C][C]1.89777[/C][/ROW]
[ROW][C]173[/C][C]9[/C][C]13.9629[/C][C]-4.96291[/C][/ROW]
[ROW][C]174[/C][C]13[/C][C]11.3666[/C][C]1.63341[/C][/ROW]
[ROW][C]175[/C][C]16[/C][C]13.2914[/C][C]2.70857[/C][/ROW]
[ROW][C]176[/C][C]13[/C][C]15.1722[/C][C]-2.17221[/C][/ROW]
[ROW][C]177[/C][C]9[/C][C]12.3187[/C][C]-3.31869[/C][/ROW]
[ROW][C]178[/C][C]12[/C][C]11.4821[/C][C]0.517872[/C][/ROW]
[ROW][C]179[/C][C]16[/C][C]14.4902[/C][C]1.50984[/C][/ROW]
[ROW][C]180[/C][C]11[/C][C]13.1078[/C][C]-2.10784[/C][/ROW]
[ROW][C]181[/C][C]14[/C][C]13.9522[/C][C]0.0478436[/C][/ROW]
[ROW][C]182[/C][C]13[/C][C]14.7227[/C][C]-1.72271[/C][/ROW]
[ROW][C]183[/C][C]15[/C][C]14.5131[/C][C]0.486917[/C][/ROW]
[ROW][C]184[/C][C]14[/C][C]14.8236[/C][C]-0.823592[/C][/ROW]
[ROW][C]185[/C][C]16[/C][C]14.0626[/C][C]1.93744[/C][/ROW]
[ROW][C]186[/C][C]13[/C][C]11.5432[/C][C]1.45685[/C][/ROW]
[ROW][C]187[/C][C]14[/C][C]13.4012[/C][C]0.598787[/C][/ROW]
[ROW][C]188[/C][C]15[/C][C]14.1677[/C][C]0.832324[/C][/ROW]
[ROW][C]189[/C][C]13[/C][C]12.4191[/C][C]0.580863[/C][/ROW]
[ROW][C]190[/C][C]11[/C][C]10.3234[/C][C]0.676636[/C][/ROW]
[ROW][C]191[/C][C]11[/C][C]12.3641[/C][C]-1.36415[/C][/ROW]
[ROW][C]192[/C][C]14[/C][C]14.8197[/C][C]-0.819691[/C][/ROW]
[ROW][C]193[/C][C]15[/C][C]12.7633[/C][C]2.23673[/C][/ROW]
[ROW][C]194[/C][C]11[/C][C]12.3954[/C][C]-1.39542[/C][/ROW]
[ROW][C]195[/C][C]15[/C][C]13.0317[/C][C]1.96829[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]13.9022[/C][C]-1.90223[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]11.6597[/C][C]2.34026[/C][/ROW]
[ROW][C]198[/C][C]14[/C][C]13.2786[/C][C]0.721447[/C][/ROW]
[ROW][C]199[/C][C]8[/C][C]11.0612[/C][C]-3.06117[/C][/ROW]
[ROW][C]200[/C][C]13[/C][C]13.6078[/C][C]-0.607845[/C][/ROW]
[ROW][C]201[/C][C]9[/C][C]12.0307[/C][C]-3.03072[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]13.6486[/C][C]1.35144[/C][/ROW]
[ROW][C]203[/C][C]17[/C][C]13.9457[/C][C]3.05427[/C][/ROW]
[ROW][C]204[/C][C]13[/C][C]12.4253[/C][C]0.574732[/C][/ROW]
[ROW][C]205[/C][C]15[/C][C]14.3117[/C][C]0.68829[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]13.575[/C][C]1.425[/C][/ROW]
[ROW][C]207[/C][C]14[/C][C]14.3743[/C][C]-0.374329[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]12.3189[/C][C]3.68108[/C][/ROW]
[ROW][C]209[/C][C]13[/C][C]12.7989[/C][C]0.201127[/C][/ROW]
[ROW][C]210[/C][C]16[/C][C]14.1518[/C][C]1.84822[/C][/ROW]
[ROW][C]211[/C][C]9[/C][C]11.5555[/C][C]-2.55548[/C][/ROW]
[ROW][C]212[/C][C]16[/C][C]14.3944[/C][C]1.60564[/C][/ROW]
[ROW][C]213[/C][C]11[/C][C]12.1205[/C][C]-1.12046[/C][/ROW]
[ROW][C]214[/C][C]10[/C][C]13.732[/C][C]-3.73204[/C][/ROW]
[ROW][C]215[/C][C]11[/C][C]11.9337[/C][C]-0.933712[/C][/ROW]
[ROW][C]216[/C][C]15[/C][C]13.1391[/C][C]1.8609[/C][/ROW]
[ROW][C]217[/C][C]17[/C][C]14.6886[/C][C]2.31138[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]14.0819[/C][C]-0.0819401[/C][/ROW]
[ROW][C]219[/C][C]8[/C][C]9.83648[/C][C]-1.83648[/C][/ROW]
[ROW][C]220[/C][C]15[/C][C]13.4044[/C][C]1.59559[/C][/ROW]
[ROW][C]221[/C][C]11[/C][C]13.6868[/C][C]-2.68683[/C][/ROW]
[ROW][C]222[/C][C]16[/C][C]13.3344[/C][C]2.66561[/C][/ROW]
[ROW][C]223[/C][C]10[/C][C]11.9236[/C][C]-1.9236[/C][/ROW]
[ROW][C]224[/C][C]15[/C][C]14.6645[/C][C]0.335535[/C][/ROW]
[ROW][C]225[/C][C]9[/C][C]9.34386[/C][C]-0.343857[/C][/ROW]
[ROW][C]226[/C][C]16[/C][C]14.2365[/C][C]1.76355[/C][/ROW]
[ROW][C]227[/C][C]19[/C][C]13.5976[/C][C]5.40244[/C][/ROW]
[ROW][C]228[/C][C]12[/C][C]13.4352[/C][C]-1.43522[/C][/ROW]
[ROW][C]229[/C][C]8[/C][C]9.39096[/C][C]-1.39096[/C][/ROW]
[ROW][C]230[/C][C]11[/C][C]13.1856[/C][C]-2.18559[/C][/ROW]
[ROW][C]231[/C][C]14[/C][C]13.6803[/C][C]0.319686[/C][/ROW]
[ROW][C]232[/C][C]9[/C][C]11.9055[/C][C]-2.90549[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]14.7331[/C][C]0.26693[/C][/ROW]
[ROW][C]234[/C][C]13[/C][C]12.122[/C][C]0.878031[/C][/ROW]
[ROW][C]235[/C][C]16[/C][C]14.6712[/C][C]1.32881[/C][/ROW]
[ROW][C]236[/C][C]11[/C][C]12.6382[/C][C]-1.6382[/C][/ROW]
[ROW][C]237[/C][C]12[/C][C]11.3159[/C][C]0.684059[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]12.5723[/C][C]0.427692[/C][/ROW]
[ROW][C]239[/C][C]10[/C][C]14.0682[/C][C]-4.06823[/C][/ROW]
[ROW][C]240[/C][C]11[/C][C]13.4001[/C][C]-2.40008[/C][/ROW]
[ROW][C]241[/C][C]12[/C][C]14.6489[/C][C]-2.64895[/C][/ROW]
[ROW][C]242[/C][C]8[/C][C]10.4888[/C][C]-2.48876[/C][/ROW]
[ROW][C]243[/C][C]12[/C][C]11.6652[/C][C]0.334809[/C][/ROW]
[ROW][C]244[/C][C]12[/C][C]12.087[/C][C]-0.0869992[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]13.2893[/C][C]1.7107[/C][/ROW]
[ROW][C]246[/C][C]11[/C][C]10.5735[/C][C]0.426549[/C][/ROW]
[ROW][C]247[/C][C]13[/C][C]12.5211[/C][C]0.478901[/C][/ROW]
[ROW][C]248[/C][C]14[/C][C]8.66352[/C][C]5.33648[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]10.0793[/C][C]-0.0792883[/C][/ROW]
[ROW][C]250[/C][C]12[/C][C]11.3227[/C][C]0.677314[/C][/ROW]
[ROW][C]251[/C][C]15[/C][C]12.6801[/C][C]2.31992[/C][/ROW]
[ROW][C]252[/C][C]13[/C][C]11.6951[/C][C]1.30493[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]13.9354[/C][C]-0.935408[/C][/ROW]
[ROW][C]254[/C][C]13[/C][C]13.4389[/C][C]-0.438894[/C][/ROW]
[ROW][C]255[/C][C]12[/C][C]11.5702[/C][C]0.429844[/C][/ROW]
[ROW][C]256[/C][C]12[/C][C]12.3813[/C][C]-0.381283[/C][/ROW]
[ROW][C]257[/C][C]9[/C][C]10.4954[/C][C]-1.49541[/C][/ROW]
[ROW][C]258[/C][C]9[/C][C]11.243[/C][C]-2.24298[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]12.2648[/C][C]2.73524[/C][/ROW]
[ROW][C]260[/C][C]10[/C][C]14.7045[/C][C]-4.70446[/C][/ROW]
[ROW][C]261[/C][C]14[/C][C]13.3392[/C][C]0.660758[/C][/ROW]
[ROW][C]262[/C][C]15[/C][C]13.1947[/C][C]1.80533[/C][/ROW]
[ROW][C]263[/C][C]7[/C][C]9.60646[/C][C]-2.60646[/C][/ROW]
[ROW][C]264[/C][C]14[/C][C]13.5459[/C][C]0.454067[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226557&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226557&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
11414.1264-0.1264
21815.47012.52988
31114.1022-3.10217
41214.7674-2.76736
51611.4634.53704
61814.68783.31223
71410.98533.01469
81415.2187-1.2187
91515.3931-0.393091
101514.59020.409841
111715.71891.28114
121915.74853.25148
131013.5804-3.58039
141613.65562.34436
151815.86472.13526
161413.57120.428828
171414.0382-0.0381979
181715.89221.10781
191415.5388-1.53882
201613.97232.02769
211815.50072.49927
221113.8945-2.89453
231414.5197-0.519733
241213.7256-1.72561
251715.47931.52067
26915.9894-6.98939
271615.17290.827141
281413.44610.55385
291514.04810.951933
301114.1404-3.14042
311615.84430.1557
321312.89250.107546
331715.23031.76972
341515.4193-0.419344
351414.0724-0.072446
361615.74640.25361
37911.0565-2.05654
381514.43940.560571
391715.47981.52018
401315.3373-2.33725
411515.8138-0.813785
421613.76862.23144
431615.8220.177984
441213.2607-1.26066
451514.73570.264337
461113.7223-2.72229
471515.4456-0.445633
481514.99290.00708446
491713.58493.41505
501314.8349-1.83495
511615.28870.711283
521413.56520.434835
531111.8041-0.804099
541213.7681-1.76807
551214.2856-2.28562
561513.83031.1697
571614.25731.74272
581515.5264-0.52645
591215.2527-3.2527
601213.486-1.48604
61810.9157-2.91575
621314.6365-1.63647
631114.6686-3.66857
641413.15610.843948
651513.66921.33084
661015.1785-5.1785
671112.7016-1.70157
681214.5766-2.57657
691513.66051.33948
701513.73971.26025
711413.74410.255886
721612.86153.13851
731514.48890.511105
741515.2815-0.281527
751315.0441-2.04407
761212.299-0.299012
771714.07482.92524
781312.61870.381321
791513.93781.06224
801315.0098-2.00981
811514.97660.0234235
821515.5829-0.582923
831614.35541.64463
841514.39250.607477
851414.2353-0.235348
861514.13880.861246
871414.35-0.349996
881312.84750.152511
89710.6616-3.66163
901713.89973.10033
911312.82970.170321
921514.24110.75892
931413.37770.622336
941314.0846-1.08459
951615.02790.972065
961212.8691-0.869088
971414.9386-0.938613
981714.95322.04681
991515.12-0.119998
1001715.1381.862
1011213.0083-1.00829
1021614.96851.03146
1031114.4794-3.47937
1041513.1561.84397
105911.4488-2.44878
1061614.92661.07339
1071512.93772.06234
1081012.8436-2.84362
109109.316980.683025
1101513.93441.06556
1111113.1845-2.18446
1121315.314-2.31399
1131411.89512.1049
1141814.17223.82778
1151615.51430.485744
1161412.99271.00732
1171413.91270.0872702
1181415.0997-1.09974
1191413.69990.300056
1201212.5627-0.562707
1211413.53150.468485
1221514.89030.10975
1231515.8227-0.822674
1241514.51880.481228
1251314.6645-1.66448
1261716.1420.857975
1271715.20431.79574
1281914.95494.04505
1291513.58241.41756
1301314.6056-1.60564
131910.6903-1.69034
1321515.2495-0.249501
1331512.6162.38396
1341514.18320.816761
1351613.70762.29242
136119.477081.52292
1371413.29220.707849
1381112.0011-1.00114
1391514.18790.812099
1401313.7978-0.797772
1411514.59060.409418
1421613.81642.18361
1431414.5413-0.541302
1441514.18860.811416
1451614.60631.39366
1461614.33251.66746
1471113.3092-2.30923
1481214.5693-2.56926
149911.5145-2.5145
1501614.25381.74622
1511312.43440.565571
1521615.31120.688759
1531214.4082-2.40817
154911.525-2.52498
1551311.78741.21256
1561312.54720.452829
1571413.33020.669843
1581914.82464.17544
1591315.5153-2.51533
1601212.0739-0.0739022
1611312.57250.427513
162109.373610.626394
1631413.26410.735933
1641611.46734.53271
1651011.9467-1.94668
166119.220921.77908
1671414.0939-0.0938969
1681212.8497-0.849722
169912.683-3.68299
170911.877-2.877
1711110.62070.379279
1721614.10221.89777
173913.9629-4.96291
1741311.36661.63341
1751613.29142.70857
1761315.1722-2.17221
177912.3187-3.31869
1781211.48210.517872
1791614.49021.50984
1801113.1078-2.10784
1811413.95220.0478436
1821314.7227-1.72271
1831514.51310.486917
1841414.8236-0.823592
1851614.06261.93744
1861311.54321.45685
1871413.40120.598787
1881514.16770.832324
1891312.41910.580863
1901110.32340.676636
1911112.3641-1.36415
1921414.8197-0.819691
1931512.76332.23673
1941112.3954-1.39542
1951513.03171.96829
1961213.9022-1.90223
1971411.65972.34026
1981413.27860.721447
199811.0612-3.06117
2001313.6078-0.607845
201912.0307-3.03072
2021513.64861.35144
2031713.94573.05427
2041312.42530.574732
2051514.31170.68829
2061513.5751.425
2071414.3743-0.374329
2081612.31893.68108
2091312.79890.201127
2101614.15181.84822
211911.5555-2.55548
2121614.39441.60564
2131112.1205-1.12046
2141013.732-3.73204
2151111.9337-0.933712
2161513.13911.8609
2171714.68862.31138
2181414.0819-0.0819401
21989.83648-1.83648
2201513.40441.59559
2211113.6868-2.68683
2221613.33442.66561
2231011.9236-1.9236
2241514.66450.335535
22599.34386-0.343857
2261614.23651.76355
2271913.59765.40244
2281213.4352-1.43522
22989.39096-1.39096
2301113.1856-2.18559
2311413.68030.319686
232911.9055-2.90549
2331514.73310.26693
2341312.1220.878031
2351614.67121.32881
2361112.6382-1.6382
2371211.31590.684059
2381312.57230.427692
2391014.0682-4.06823
2401113.4001-2.40008
2411214.6489-2.64895
242810.4888-2.48876
2431211.66520.334809
2441212.087-0.0869992
2451513.28931.7107
2461110.57350.426549
2471312.52110.478901
248148.663525.33648
2491010.0793-0.0792883
2501211.32270.677314
2511512.68012.31992
2521311.69511.30493
2531313.9354-0.935408
2541313.4389-0.438894
2551211.57020.429844
2561212.3813-0.381283
257910.4954-1.49541
258911.243-2.24298
2591512.26482.73524
2601014.7045-4.70446
2611413.33920.660758
2621513.19471.80533
26379.60646-2.60646
2641413.54590.454067






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.2612320.5224640.738768
130.9818230.03635330.0181767
140.9645510.07089780.0354489
150.9592630.08147470.0407373
160.9311620.1376750.0688375
170.9677420.06451580.0322579
180.9479790.1040420.052021
190.9211020.1577960.0788981
200.9107330.1785340.0892669
210.9190580.1618840.0809418
220.9320630.1358740.0679368
230.9361210.1277570.0638786
240.9120470.1759060.0879529
250.8937260.2125470.106274
260.9990070.001985720.000992859
270.9985110.002977660.00148883
280.9977030.004593740.00229687
290.9964660.00706820.0035341
300.9963170.007365120.00368256
310.9949470.01010550.00505273
320.9924180.01516390.00758195
330.9924940.01501250.00750625
340.9897880.02042350.0102118
350.9860470.02790510.0139525
360.9812370.03752560.0187628
370.9841510.03169840.0158492
380.9794860.04102880.0205144
390.9787430.04251480.0212574
400.9758590.04828180.0241409
410.9678040.06439290.0321964
420.9691410.06171730.0308586
430.9614420.07711530.0385577
440.9518770.09624560.0481228
450.9391340.1217310.0608657
460.9410610.1178780.0589392
470.931070.1378610.0689303
480.9156480.1687040.0843521
490.9401180.1197630.0598816
500.9324550.1350910.0675453
510.9205230.1589540.079477
520.9033860.1932280.0966141
530.8856210.2287580.114379
540.867030.265940.13297
550.8574290.2851410.142571
560.8453610.3092770.154639
570.8397720.3204570.160228
580.8122430.3755140.187757
590.8415550.3168890.158445
600.8254040.3491920.174596
610.836630.3267390.16337
620.8210880.3578250.178912
630.8585780.2828450.141422
640.8523640.2952720.147636
650.8534310.2931370.146569
660.9249010.1501970.0750987
670.9140660.1718680.0859338
680.9161040.1677930.0838963
690.9185050.1629890.0814946
700.9178030.1643950.0821973
710.9082640.1834720.0917362
720.9357030.1285950.0642975
730.9245260.1509490.0754743
740.909380.1812390.0906196
750.900070.199860.0999299
760.8829710.2340580.117029
770.9114580.1770840.0885421
780.8991380.2017240.100862
790.8944350.2111310.105565
800.8868430.2263140.113157
810.867780.2644390.13222
820.847950.30410.15205
830.8470630.3058730.152937
840.8295180.3409630.170482
850.8059370.3881260.194063
860.7825860.4348270.217414
870.7544940.4910120.245506
880.7255340.5489310.274466
890.7918090.4163810.208191
900.8322760.3354480.167724
910.8110790.3778410.188921
920.7866920.4266170.213308
930.7666120.4667760.233388
940.7427890.5144210.257211
950.7190250.561950.280975
960.6917510.6164980.308249
970.6646980.6706030.335302
980.6697970.6604050.330203
990.6354590.7290820.364541
1000.6302590.7394830.369741
1010.6039030.7921940.396097
1020.5769490.8461020.423051
1030.6271420.7457150.372858
1040.6132740.7734510.386726
1050.6281170.7437660.371883
1060.6058390.7883220.394161
1070.5981580.8036830.401842
1080.636490.7270210.36351
1090.6025630.7948740.397437
1100.5778610.8442780.422139
1110.5824150.835170.417585
1120.6027960.7944080.397204
1130.5896710.8206590.410329
1140.688970.622060.31103
1150.6627850.6744290.337215
1160.635810.7283810.36419
1170.601130.797740.39887
1180.5760080.8479840.423992
1190.5404910.9190180.459509
1200.5076020.9847960.492398
1210.4838920.9677840.516108
1220.4490550.898110.550945
1230.4202620.8405240.579738
1240.3922670.7845330.607733
1250.3815540.7631080.618446
1260.3551950.7103910.644805
1270.3398430.6796860.660157
1280.4480870.8961750.551913
1290.4294810.8589610.570519
1300.4188090.8376180.581191
1310.4066010.8132020.593399
1320.3750270.7500550.624973
1330.3964030.7928060.603597
1340.3661820.7323630.633818
1350.3785790.7571580.621421
1360.368810.7376190.63119
1370.3385270.6770530.661473
1380.3156850.631370.684315
1390.287520.5750410.71248
1400.2638910.5277810.736109
1410.2361840.4723690.763816
1420.2383340.4766690.761666
1430.2131720.4263450.786828
1440.1930690.3861380.806931
1450.1785620.3571250.821438
1460.1704630.3409270.829537
1470.1818620.3637250.818138
1480.2017410.4034820.798259
1490.2222870.4445750.777713
1500.2164510.4329020.783549
1510.1933220.3866440.806678
1520.1717910.3435830.828209
1530.1860610.3721220.813939
1540.2045080.4090160.795492
1550.1867920.3735840.813208
1560.1658530.3317070.834147
1570.1456970.2913940.854303
1580.2214790.4429580.778521
1590.2399850.4799690.760015
1600.2167570.4335140.783243
1610.1919620.3839250.808038
1620.1696870.3393750.830313
1630.1492780.2985560.850722
1640.2521140.5042270.747886
1650.2477460.4954930.752254
1660.2412560.4825120.758744
1670.2132240.4264470.786776
1680.1918960.3837920.808104
1690.2464920.4929830.753508
1700.2726420.5452840.727358
1710.2431940.4863880.756806
1720.237880.475760.76212
1730.400890.801780.59911
1740.3824830.7649670.617517
1750.4028810.8057620.597119
1760.4107880.8215750.589212
1770.4773740.9547490.522626
1780.4405870.8811740.559413
1790.4170950.8341910.582905
1800.4203470.8406940.579653
1810.3857410.7714820.614259
1820.3912810.7825610.608719
1830.3553110.7106210.644689
1840.3325180.6650360.667482
1850.3319530.6639050.668047
1860.3198290.6396580.680171
1870.2863350.572670.713665
1880.2567760.5135510.743224
1890.226760.453520.77324
1900.2009690.4019370.799031
1910.20840.4168010.7916
1920.1923440.3846890.807656
1930.1993370.3986740.800663
1940.1893170.3786350.810683
1950.185610.371220.81439
1960.1977240.3954480.802276
1970.2348440.4696880.765156
1980.2167140.4334280.783286
1990.2506270.5012540.749373
2000.2195230.4390450.780477
2010.2614240.5228480.738576
2020.2372370.4744730.762763
2030.2871070.5742150.712893
2040.257430.5148610.74257
2050.2247850.449570.775215
2060.2042530.4085050.795747
2070.1749120.3498250.825088
2080.1953810.3907620.804619
2090.1658890.3317780.834111
2100.1816290.3632570.818371
2110.2050140.4100280.794986
2120.1905510.3811020.809449
2130.1644160.3288330.835584
2140.2096470.4192940.790353
2150.1860170.3720350.813983
2160.1713220.3426450.828678
2170.1998490.3996970.800151
2180.1718030.3436060.828197
2190.1579790.3159570.842021
2200.1663310.3326610.833669
2210.1686520.3373040.831348
2220.1728880.3457770.827112
2230.156230.3124610.84377
2240.1284080.2568170.871592
2250.1151160.2302320.884884
2260.1417340.2834680.858266
2270.3521670.7043350.647833
2280.3132690.6265380.686731
2290.2759410.5518820.724059
2300.2522370.5044730.747763
2310.2161370.4322740.783863
2320.2431680.4863370.756832
2330.2022960.4045920.797704
2340.1669060.3338120.833094
2350.1733160.3466320.826684
2360.1459420.2918850.854058
2370.1232640.2465290.876736
2380.09269710.1853940.907303
2390.1864040.3728080.813596
2400.2074850.414970.792515
2410.2099670.4199340.790033
2420.8255880.3488250.174412
2430.7642570.4714860.235743
2440.7212080.5575840.278792
2450.6804750.6390490.319525
2460.6038940.7922130.396106
2470.5838320.8323360.416168
2480.5740220.8519560.425978
2490.4584310.9168630.541569
2500.4968570.9937150.503143
2510.3821010.7642020.617899
2520.7974670.4050660.202533

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
12 & 0.261232 & 0.522464 & 0.738768 \tabularnewline
13 & 0.981823 & 0.0363533 & 0.0181767 \tabularnewline
14 & 0.964551 & 0.0708978 & 0.0354489 \tabularnewline
15 & 0.959263 & 0.0814747 & 0.0407373 \tabularnewline
16 & 0.931162 & 0.137675 & 0.0688375 \tabularnewline
17 & 0.967742 & 0.0645158 & 0.0322579 \tabularnewline
18 & 0.947979 & 0.104042 & 0.052021 \tabularnewline
19 & 0.921102 & 0.157796 & 0.0788981 \tabularnewline
20 & 0.910733 & 0.178534 & 0.0892669 \tabularnewline
21 & 0.919058 & 0.161884 & 0.0809418 \tabularnewline
22 & 0.932063 & 0.135874 & 0.0679368 \tabularnewline
23 & 0.936121 & 0.127757 & 0.0638786 \tabularnewline
24 & 0.912047 & 0.175906 & 0.0879529 \tabularnewline
25 & 0.893726 & 0.212547 & 0.106274 \tabularnewline
26 & 0.999007 & 0.00198572 & 0.000992859 \tabularnewline
27 & 0.998511 & 0.00297766 & 0.00148883 \tabularnewline
28 & 0.997703 & 0.00459374 & 0.00229687 \tabularnewline
29 & 0.996466 & 0.0070682 & 0.0035341 \tabularnewline
30 & 0.996317 & 0.00736512 & 0.00368256 \tabularnewline
31 & 0.994947 & 0.0101055 & 0.00505273 \tabularnewline
32 & 0.992418 & 0.0151639 & 0.00758195 \tabularnewline
33 & 0.992494 & 0.0150125 & 0.00750625 \tabularnewline
34 & 0.989788 & 0.0204235 & 0.0102118 \tabularnewline
35 & 0.986047 & 0.0279051 & 0.0139525 \tabularnewline
36 & 0.981237 & 0.0375256 & 0.0187628 \tabularnewline
37 & 0.984151 & 0.0316984 & 0.0158492 \tabularnewline
38 & 0.979486 & 0.0410288 & 0.0205144 \tabularnewline
39 & 0.978743 & 0.0425148 & 0.0212574 \tabularnewline
40 & 0.975859 & 0.0482818 & 0.0241409 \tabularnewline
41 & 0.967804 & 0.0643929 & 0.0321964 \tabularnewline
42 & 0.969141 & 0.0617173 & 0.0308586 \tabularnewline
43 & 0.961442 & 0.0771153 & 0.0385577 \tabularnewline
44 & 0.951877 & 0.0962456 & 0.0481228 \tabularnewline
45 & 0.939134 & 0.121731 & 0.0608657 \tabularnewline
46 & 0.941061 & 0.117878 & 0.0589392 \tabularnewline
47 & 0.93107 & 0.137861 & 0.0689303 \tabularnewline
48 & 0.915648 & 0.168704 & 0.0843521 \tabularnewline
49 & 0.940118 & 0.119763 & 0.0598816 \tabularnewline
50 & 0.932455 & 0.135091 & 0.0675453 \tabularnewline
51 & 0.920523 & 0.158954 & 0.079477 \tabularnewline
52 & 0.903386 & 0.193228 & 0.0966141 \tabularnewline
53 & 0.885621 & 0.228758 & 0.114379 \tabularnewline
54 & 0.86703 & 0.26594 & 0.13297 \tabularnewline
55 & 0.857429 & 0.285141 & 0.142571 \tabularnewline
56 & 0.845361 & 0.309277 & 0.154639 \tabularnewline
57 & 0.839772 & 0.320457 & 0.160228 \tabularnewline
58 & 0.812243 & 0.375514 & 0.187757 \tabularnewline
59 & 0.841555 & 0.316889 & 0.158445 \tabularnewline
60 & 0.825404 & 0.349192 & 0.174596 \tabularnewline
61 & 0.83663 & 0.326739 & 0.16337 \tabularnewline
62 & 0.821088 & 0.357825 & 0.178912 \tabularnewline
63 & 0.858578 & 0.282845 & 0.141422 \tabularnewline
64 & 0.852364 & 0.295272 & 0.147636 \tabularnewline
65 & 0.853431 & 0.293137 & 0.146569 \tabularnewline
66 & 0.924901 & 0.150197 & 0.0750987 \tabularnewline
67 & 0.914066 & 0.171868 & 0.0859338 \tabularnewline
68 & 0.916104 & 0.167793 & 0.0838963 \tabularnewline
69 & 0.918505 & 0.162989 & 0.0814946 \tabularnewline
70 & 0.917803 & 0.164395 & 0.0821973 \tabularnewline
71 & 0.908264 & 0.183472 & 0.0917362 \tabularnewline
72 & 0.935703 & 0.128595 & 0.0642975 \tabularnewline
73 & 0.924526 & 0.150949 & 0.0754743 \tabularnewline
74 & 0.90938 & 0.181239 & 0.0906196 \tabularnewline
75 & 0.90007 & 0.19986 & 0.0999299 \tabularnewline
76 & 0.882971 & 0.234058 & 0.117029 \tabularnewline
77 & 0.911458 & 0.177084 & 0.0885421 \tabularnewline
78 & 0.899138 & 0.201724 & 0.100862 \tabularnewline
79 & 0.894435 & 0.211131 & 0.105565 \tabularnewline
80 & 0.886843 & 0.226314 & 0.113157 \tabularnewline
81 & 0.86778 & 0.264439 & 0.13222 \tabularnewline
82 & 0.84795 & 0.3041 & 0.15205 \tabularnewline
83 & 0.847063 & 0.305873 & 0.152937 \tabularnewline
84 & 0.829518 & 0.340963 & 0.170482 \tabularnewline
85 & 0.805937 & 0.388126 & 0.194063 \tabularnewline
86 & 0.782586 & 0.434827 & 0.217414 \tabularnewline
87 & 0.754494 & 0.491012 & 0.245506 \tabularnewline
88 & 0.725534 & 0.548931 & 0.274466 \tabularnewline
89 & 0.791809 & 0.416381 & 0.208191 \tabularnewline
90 & 0.832276 & 0.335448 & 0.167724 \tabularnewline
91 & 0.811079 & 0.377841 & 0.188921 \tabularnewline
92 & 0.786692 & 0.426617 & 0.213308 \tabularnewline
93 & 0.766612 & 0.466776 & 0.233388 \tabularnewline
94 & 0.742789 & 0.514421 & 0.257211 \tabularnewline
95 & 0.719025 & 0.56195 & 0.280975 \tabularnewline
96 & 0.691751 & 0.616498 & 0.308249 \tabularnewline
97 & 0.664698 & 0.670603 & 0.335302 \tabularnewline
98 & 0.669797 & 0.660405 & 0.330203 \tabularnewline
99 & 0.635459 & 0.729082 & 0.364541 \tabularnewline
100 & 0.630259 & 0.739483 & 0.369741 \tabularnewline
101 & 0.603903 & 0.792194 & 0.396097 \tabularnewline
102 & 0.576949 & 0.846102 & 0.423051 \tabularnewline
103 & 0.627142 & 0.745715 & 0.372858 \tabularnewline
104 & 0.613274 & 0.773451 & 0.386726 \tabularnewline
105 & 0.628117 & 0.743766 & 0.371883 \tabularnewline
106 & 0.605839 & 0.788322 & 0.394161 \tabularnewline
107 & 0.598158 & 0.803683 & 0.401842 \tabularnewline
108 & 0.63649 & 0.727021 & 0.36351 \tabularnewline
109 & 0.602563 & 0.794874 & 0.397437 \tabularnewline
110 & 0.577861 & 0.844278 & 0.422139 \tabularnewline
111 & 0.582415 & 0.83517 & 0.417585 \tabularnewline
112 & 0.602796 & 0.794408 & 0.397204 \tabularnewline
113 & 0.589671 & 0.820659 & 0.410329 \tabularnewline
114 & 0.68897 & 0.62206 & 0.31103 \tabularnewline
115 & 0.662785 & 0.674429 & 0.337215 \tabularnewline
116 & 0.63581 & 0.728381 & 0.36419 \tabularnewline
117 & 0.60113 & 0.79774 & 0.39887 \tabularnewline
118 & 0.576008 & 0.847984 & 0.423992 \tabularnewline
119 & 0.540491 & 0.919018 & 0.459509 \tabularnewline
120 & 0.507602 & 0.984796 & 0.492398 \tabularnewline
121 & 0.483892 & 0.967784 & 0.516108 \tabularnewline
122 & 0.449055 & 0.89811 & 0.550945 \tabularnewline
123 & 0.420262 & 0.840524 & 0.579738 \tabularnewline
124 & 0.392267 & 0.784533 & 0.607733 \tabularnewline
125 & 0.381554 & 0.763108 & 0.618446 \tabularnewline
126 & 0.355195 & 0.710391 & 0.644805 \tabularnewline
127 & 0.339843 & 0.679686 & 0.660157 \tabularnewline
128 & 0.448087 & 0.896175 & 0.551913 \tabularnewline
129 & 0.429481 & 0.858961 & 0.570519 \tabularnewline
130 & 0.418809 & 0.837618 & 0.581191 \tabularnewline
131 & 0.406601 & 0.813202 & 0.593399 \tabularnewline
132 & 0.375027 & 0.750055 & 0.624973 \tabularnewline
133 & 0.396403 & 0.792806 & 0.603597 \tabularnewline
134 & 0.366182 & 0.732363 & 0.633818 \tabularnewline
135 & 0.378579 & 0.757158 & 0.621421 \tabularnewline
136 & 0.36881 & 0.737619 & 0.63119 \tabularnewline
137 & 0.338527 & 0.677053 & 0.661473 \tabularnewline
138 & 0.315685 & 0.63137 & 0.684315 \tabularnewline
139 & 0.28752 & 0.575041 & 0.71248 \tabularnewline
140 & 0.263891 & 0.527781 & 0.736109 \tabularnewline
141 & 0.236184 & 0.472369 & 0.763816 \tabularnewline
142 & 0.238334 & 0.476669 & 0.761666 \tabularnewline
143 & 0.213172 & 0.426345 & 0.786828 \tabularnewline
144 & 0.193069 & 0.386138 & 0.806931 \tabularnewline
145 & 0.178562 & 0.357125 & 0.821438 \tabularnewline
146 & 0.170463 & 0.340927 & 0.829537 \tabularnewline
147 & 0.181862 & 0.363725 & 0.818138 \tabularnewline
148 & 0.201741 & 0.403482 & 0.798259 \tabularnewline
149 & 0.222287 & 0.444575 & 0.777713 \tabularnewline
150 & 0.216451 & 0.432902 & 0.783549 \tabularnewline
151 & 0.193322 & 0.386644 & 0.806678 \tabularnewline
152 & 0.171791 & 0.343583 & 0.828209 \tabularnewline
153 & 0.186061 & 0.372122 & 0.813939 \tabularnewline
154 & 0.204508 & 0.409016 & 0.795492 \tabularnewline
155 & 0.186792 & 0.373584 & 0.813208 \tabularnewline
156 & 0.165853 & 0.331707 & 0.834147 \tabularnewline
157 & 0.145697 & 0.291394 & 0.854303 \tabularnewline
158 & 0.221479 & 0.442958 & 0.778521 \tabularnewline
159 & 0.239985 & 0.479969 & 0.760015 \tabularnewline
160 & 0.216757 & 0.433514 & 0.783243 \tabularnewline
161 & 0.191962 & 0.383925 & 0.808038 \tabularnewline
162 & 0.169687 & 0.339375 & 0.830313 \tabularnewline
163 & 0.149278 & 0.298556 & 0.850722 \tabularnewline
164 & 0.252114 & 0.504227 & 0.747886 \tabularnewline
165 & 0.247746 & 0.495493 & 0.752254 \tabularnewline
166 & 0.241256 & 0.482512 & 0.758744 \tabularnewline
167 & 0.213224 & 0.426447 & 0.786776 \tabularnewline
168 & 0.191896 & 0.383792 & 0.808104 \tabularnewline
169 & 0.246492 & 0.492983 & 0.753508 \tabularnewline
170 & 0.272642 & 0.545284 & 0.727358 \tabularnewline
171 & 0.243194 & 0.486388 & 0.756806 \tabularnewline
172 & 0.23788 & 0.47576 & 0.76212 \tabularnewline
173 & 0.40089 & 0.80178 & 0.59911 \tabularnewline
174 & 0.382483 & 0.764967 & 0.617517 \tabularnewline
175 & 0.402881 & 0.805762 & 0.597119 \tabularnewline
176 & 0.410788 & 0.821575 & 0.589212 \tabularnewline
177 & 0.477374 & 0.954749 & 0.522626 \tabularnewline
178 & 0.440587 & 0.881174 & 0.559413 \tabularnewline
179 & 0.417095 & 0.834191 & 0.582905 \tabularnewline
180 & 0.420347 & 0.840694 & 0.579653 \tabularnewline
181 & 0.385741 & 0.771482 & 0.614259 \tabularnewline
182 & 0.391281 & 0.782561 & 0.608719 \tabularnewline
183 & 0.355311 & 0.710621 & 0.644689 \tabularnewline
184 & 0.332518 & 0.665036 & 0.667482 \tabularnewline
185 & 0.331953 & 0.663905 & 0.668047 \tabularnewline
186 & 0.319829 & 0.639658 & 0.680171 \tabularnewline
187 & 0.286335 & 0.57267 & 0.713665 \tabularnewline
188 & 0.256776 & 0.513551 & 0.743224 \tabularnewline
189 & 0.22676 & 0.45352 & 0.77324 \tabularnewline
190 & 0.200969 & 0.401937 & 0.799031 \tabularnewline
191 & 0.2084 & 0.416801 & 0.7916 \tabularnewline
192 & 0.192344 & 0.384689 & 0.807656 \tabularnewline
193 & 0.199337 & 0.398674 & 0.800663 \tabularnewline
194 & 0.189317 & 0.378635 & 0.810683 \tabularnewline
195 & 0.18561 & 0.37122 & 0.81439 \tabularnewline
196 & 0.197724 & 0.395448 & 0.802276 \tabularnewline
197 & 0.234844 & 0.469688 & 0.765156 \tabularnewline
198 & 0.216714 & 0.433428 & 0.783286 \tabularnewline
199 & 0.250627 & 0.501254 & 0.749373 \tabularnewline
200 & 0.219523 & 0.439045 & 0.780477 \tabularnewline
201 & 0.261424 & 0.522848 & 0.738576 \tabularnewline
202 & 0.237237 & 0.474473 & 0.762763 \tabularnewline
203 & 0.287107 & 0.574215 & 0.712893 \tabularnewline
204 & 0.25743 & 0.514861 & 0.74257 \tabularnewline
205 & 0.224785 & 0.44957 & 0.775215 \tabularnewline
206 & 0.204253 & 0.408505 & 0.795747 \tabularnewline
207 & 0.174912 & 0.349825 & 0.825088 \tabularnewline
208 & 0.195381 & 0.390762 & 0.804619 \tabularnewline
209 & 0.165889 & 0.331778 & 0.834111 \tabularnewline
210 & 0.181629 & 0.363257 & 0.818371 \tabularnewline
211 & 0.205014 & 0.410028 & 0.794986 \tabularnewline
212 & 0.190551 & 0.381102 & 0.809449 \tabularnewline
213 & 0.164416 & 0.328833 & 0.835584 \tabularnewline
214 & 0.209647 & 0.419294 & 0.790353 \tabularnewline
215 & 0.186017 & 0.372035 & 0.813983 \tabularnewline
216 & 0.171322 & 0.342645 & 0.828678 \tabularnewline
217 & 0.199849 & 0.399697 & 0.800151 \tabularnewline
218 & 0.171803 & 0.343606 & 0.828197 \tabularnewline
219 & 0.157979 & 0.315957 & 0.842021 \tabularnewline
220 & 0.166331 & 0.332661 & 0.833669 \tabularnewline
221 & 0.168652 & 0.337304 & 0.831348 \tabularnewline
222 & 0.172888 & 0.345777 & 0.827112 \tabularnewline
223 & 0.15623 & 0.312461 & 0.84377 \tabularnewline
224 & 0.128408 & 0.256817 & 0.871592 \tabularnewline
225 & 0.115116 & 0.230232 & 0.884884 \tabularnewline
226 & 0.141734 & 0.283468 & 0.858266 \tabularnewline
227 & 0.352167 & 0.704335 & 0.647833 \tabularnewline
228 & 0.313269 & 0.626538 & 0.686731 \tabularnewline
229 & 0.275941 & 0.551882 & 0.724059 \tabularnewline
230 & 0.252237 & 0.504473 & 0.747763 \tabularnewline
231 & 0.216137 & 0.432274 & 0.783863 \tabularnewline
232 & 0.243168 & 0.486337 & 0.756832 \tabularnewline
233 & 0.202296 & 0.404592 & 0.797704 \tabularnewline
234 & 0.166906 & 0.333812 & 0.833094 \tabularnewline
235 & 0.173316 & 0.346632 & 0.826684 \tabularnewline
236 & 0.145942 & 0.291885 & 0.854058 \tabularnewline
237 & 0.123264 & 0.246529 & 0.876736 \tabularnewline
238 & 0.0926971 & 0.185394 & 0.907303 \tabularnewline
239 & 0.186404 & 0.372808 & 0.813596 \tabularnewline
240 & 0.207485 & 0.41497 & 0.792515 \tabularnewline
241 & 0.209967 & 0.419934 & 0.790033 \tabularnewline
242 & 0.825588 & 0.348825 & 0.174412 \tabularnewline
243 & 0.764257 & 0.471486 & 0.235743 \tabularnewline
244 & 0.721208 & 0.557584 & 0.278792 \tabularnewline
245 & 0.680475 & 0.639049 & 0.319525 \tabularnewline
246 & 0.603894 & 0.792213 & 0.396106 \tabularnewline
247 & 0.583832 & 0.832336 & 0.416168 \tabularnewline
248 & 0.574022 & 0.851956 & 0.425978 \tabularnewline
249 & 0.458431 & 0.916863 & 0.541569 \tabularnewline
250 & 0.496857 & 0.993715 & 0.503143 \tabularnewline
251 & 0.382101 & 0.764202 & 0.617899 \tabularnewline
252 & 0.797467 & 0.405066 & 0.202533 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226557&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]12[/C][C]0.261232[/C][C]0.522464[/C][C]0.738768[/C][/ROW]
[ROW][C]13[/C][C]0.981823[/C][C]0.0363533[/C][C]0.0181767[/C][/ROW]
[ROW][C]14[/C][C]0.964551[/C][C]0.0708978[/C][C]0.0354489[/C][/ROW]
[ROW][C]15[/C][C]0.959263[/C][C]0.0814747[/C][C]0.0407373[/C][/ROW]
[ROW][C]16[/C][C]0.931162[/C][C]0.137675[/C][C]0.0688375[/C][/ROW]
[ROW][C]17[/C][C]0.967742[/C][C]0.0645158[/C][C]0.0322579[/C][/ROW]
[ROW][C]18[/C][C]0.947979[/C][C]0.104042[/C][C]0.052021[/C][/ROW]
[ROW][C]19[/C][C]0.921102[/C][C]0.157796[/C][C]0.0788981[/C][/ROW]
[ROW][C]20[/C][C]0.910733[/C][C]0.178534[/C][C]0.0892669[/C][/ROW]
[ROW][C]21[/C][C]0.919058[/C][C]0.161884[/C][C]0.0809418[/C][/ROW]
[ROW][C]22[/C][C]0.932063[/C][C]0.135874[/C][C]0.0679368[/C][/ROW]
[ROW][C]23[/C][C]0.936121[/C][C]0.127757[/C][C]0.0638786[/C][/ROW]
[ROW][C]24[/C][C]0.912047[/C][C]0.175906[/C][C]0.0879529[/C][/ROW]
[ROW][C]25[/C][C]0.893726[/C][C]0.212547[/C][C]0.106274[/C][/ROW]
[ROW][C]26[/C][C]0.999007[/C][C]0.00198572[/C][C]0.000992859[/C][/ROW]
[ROW][C]27[/C][C]0.998511[/C][C]0.00297766[/C][C]0.00148883[/C][/ROW]
[ROW][C]28[/C][C]0.997703[/C][C]0.00459374[/C][C]0.00229687[/C][/ROW]
[ROW][C]29[/C][C]0.996466[/C][C]0.0070682[/C][C]0.0035341[/C][/ROW]
[ROW][C]30[/C][C]0.996317[/C][C]0.00736512[/C][C]0.00368256[/C][/ROW]
[ROW][C]31[/C][C]0.994947[/C][C]0.0101055[/C][C]0.00505273[/C][/ROW]
[ROW][C]32[/C][C]0.992418[/C][C]0.0151639[/C][C]0.00758195[/C][/ROW]
[ROW][C]33[/C][C]0.992494[/C][C]0.0150125[/C][C]0.00750625[/C][/ROW]
[ROW][C]34[/C][C]0.989788[/C][C]0.0204235[/C][C]0.0102118[/C][/ROW]
[ROW][C]35[/C][C]0.986047[/C][C]0.0279051[/C][C]0.0139525[/C][/ROW]
[ROW][C]36[/C][C]0.981237[/C][C]0.0375256[/C][C]0.0187628[/C][/ROW]
[ROW][C]37[/C][C]0.984151[/C][C]0.0316984[/C][C]0.0158492[/C][/ROW]
[ROW][C]38[/C][C]0.979486[/C][C]0.0410288[/C][C]0.0205144[/C][/ROW]
[ROW][C]39[/C][C]0.978743[/C][C]0.0425148[/C][C]0.0212574[/C][/ROW]
[ROW][C]40[/C][C]0.975859[/C][C]0.0482818[/C][C]0.0241409[/C][/ROW]
[ROW][C]41[/C][C]0.967804[/C][C]0.0643929[/C][C]0.0321964[/C][/ROW]
[ROW][C]42[/C][C]0.969141[/C][C]0.0617173[/C][C]0.0308586[/C][/ROW]
[ROW][C]43[/C][C]0.961442[/C][C]0.0771153[/C][C]0.0385577[/C][/ROW]
[ROW][C]44[/C][C]0.951877[/C][C]0.0962456[/C][C]0.0481228[/C][/ROW]
[ROW][C]45[/C][C]0.939134[/C][C]0.121731[/C][C]0.0608657[/C][/ROW]
[ROW][C]46[/C][C]0.941061[/C][C]0.117878[/C][C]0.0589392[/C][/ROW]
[ROW][C]47[/C][C]0.93107[/C][C]0.137861[/C][C]0.0689303[/C][/ROW]
[ROW][C]48[/C][C]0.915648[/C][C]0.168704[/C][C]0.0843521[/C][/ROW]
[ROW][C]49[/C][C]0.940118[/C][C]0.119763[/C][C]0.0598816[/C][/ROW]
[ROW][C]50[/C][C]0.932455[/C][C]0.135091[/C][C]0.0675453[/C][/ROW]
[ROW][C]51[/C][C]0.920523[/C][C]0.158954[/C][C]0.079477[/C][/ROW]
[ROW][C]52[/C][C]0.903386[/C][C]0.193228[/C][C]0.0966141[/C][/ROW]
[ROW][C]53[/C][C]0.885621[/C][C]0.228758[/C][C]0.114379[/C][/ROW]
[ROW][C]54[/C][C]0.86703[/C][C]0.26594[/C][C]0.13297[/C][/ROW]
[ROW][C]55[/C][C]0.857429[/C][C]0.285141[/C][C]0.142571[/C][/ROW]
[ROW][C]56[/C][C]0.845361[/C][C]0.309277[/C][C]0.154639[/C][/ROW]
[ROW][C]57[/C][C]0.839772[/C][C]0.320457[/C][C]0.160228[/C][/ROW]
[ROW][C]58[/C][C]0.812243[/C][C]0.375514[/C][C]0.187757[/C][/ROW]
[ROW][C]59[/C][C]0.841555[/C][C]0.316889[/C][C]0.158445[/C][/ROW]
[ROW][C]60[/C][C]0.825404[/C][C]0.349192[/C][C]0.174596[/C][/ROW]
[ROW][C]61[/C][C]0.83663[/C][C]0.326739[/C][C]0.16337[/C][/ROW]
[ROW][C]62[/C][C]0.821088[/C][C]0.357825[/C][C]0.178912[/C][/ROW]
[ROW][C]63[/C][C]0.858578[/C][C]0.282845[/C][C]0.141422[/C][/ROW]
[ROW][C]64[/C][C]0.852364[/C][C]0.295272[/C][C]0.147636[/C][/ROW]
[ROW][C]65[/C][C]0.853431[/C][C]0.293137[/C][C]0.146569[/C][/ROW]
[ROW][C]66[/C][C]0.924901[/C][C]0.150197[/C][C]0.0750987[/C][/ROW]
[ROW][C]67[/C][C]0.914066[/C][C]0.171868[/C][C]0.0859338[/C][/ROW]
[ROW][C]68[/C][C]0.916104[/C][C]0.167793[/C][C]0.0838963[/C][/ROW]
[ROW][C]69[/C][C]0.918505[/C][C]0.162989[/C][C]0.0814946[/C][/ROW]
[ROW][C]70[/C][C]0.917803[/C][C]0.164395[/C][C]0.0821973[/C][/ROW]
[ROW][C]71[/C][C]0.908264[/C][C]0.183472[/C][C]0.0917362[/C][/ROW]
[ROW][C]72[/C][C]0.935703[/C][C]0.128595[/C][C]0.0642975[/C][/ROW]
[ROW][C]73[/C][C]0.924526[/C][C]0.150949[/C][C]0.0754743[/C][/ROW]
[ROW][C]74[/C][C]0.90938[/C][C]0.181239[/C][C]0.0906196[/C][/ROW]
[ROW][C]75[/C][C]0.90007[/C][C]0.19986[/C][C]0.0999299[/C][/ROW]
[ROW][C]76[/C][C]0.882971[/C][C]0.234058[/C][C]0.117029[/C][/ROW]
[ROW][C]77[/C][C]0.911458[/C][C]0.177084[/C][C]0.0885421[/C][/ROW]
[ROW][C]78[/C][C]0.899138[/C][C]0.201724[/C][C]0.100862[/C][/ROW]
[ROW][C]79[/C][C]0.894435[/C][C]0.211131[/C][C]0.105565[/C][/ROW]
[ROW][C]80[/C][C]0.886843[/C][C]0.226314[/C][C]0.113157[/C][/ROW]
[ROW][C]81[/C][C]0.86778[/C][C]0.264439[/C][C]0.13222[/C][/ROW]
[ROW][C]82[/C][C]0.84795[/C][C]0.3041[/C][C]0.15205[/C][/ROW]
[ROW][C]83[/C][C]0.847063[/C][C]0.305873[/C][C]0.152937[/C][/ROW]
[ROW][C]84[/C][C]0.829518[/C][C]0.340963[/C][C]0.170482[/C][/ROW]
[ROW][C]85[/C][C]0.805937[/C][C]0.388126[/C][C]0.194063[/C][/ROW]
[ROW][C]86[/C][C]0.782586[/C][C]0.434827[/C][C]0.217414[/C][/ROW]
[ROW][C]87[/C][C]0.754494[/C][C]0.491012[/C][C]0.245506[/C][/ROW]
[ROW][C]88[/C][C]0.725534[/C][C]0.548931[/C][C]0.274466[/C][/ROW]
[ROW][C]89[/C][C]0.791809[/C][C]0.416381[/C][C]0.208191[/C][/ROW]
[ROW][C]90[/C][C]0.832276[/C][C]0.335448[/C][C]0.167724[/C][/ROW]
[ROW][C]91[/C][C]0.811079[/C][C]0.377841[/C][C]0.188921[/C][/ROW]
[ROW][C]92[/C][C]0.786692[/C][C]0.426617[/C][C]0.213308[/C][/ROW]
[ROW][C]93[/C][C]0.766612[/C][C]0.466776[/C][C]0.233388[/C][/ROW]
[ROW][C]94[/C][C]0.742789[/C][C]0.514421[/C][C]0.257211[/C][/ROW]
[ROW][C]95[/C][C]0.719025[/C][C]0.56195[/C][C]0.280975[/C][/ROW]
[ROW][C]96[/C][C]0.691751[/C][C]0.616498[/C][C]0.308249[/C][/ROW]
[ROW][C]97[/C][C]0.664698[/C][C]0.670603[/C][C]0.335302[/C][/ROW]
[ROW][C]98[/C][C]0.669797[/C][C]0.660405[/C][C]0.330203[/C][/ROW]
[ROW][C]99[/C][C]0.635459[/C][C]0.729082[/C][C]0.364541[/C][/ROW]
[ROW][C]100[/C][C]0.630259[/C][C]0.739483[/C][C]0.369741[/C][/ROW]
[ROW][C]101[/C][C]0.603903[/C][C]0.792194[/C][C]0.396097[/C][/ROW]
[ROW][C]102[/C][C]0.576949[/C][C]0.846102[/C][C]0.423051[/C][/ROW]
[ROW][C]103[/C][C]0.627142[/C][C]0.745715[/C][C]0.372858[/C][/ROW]
[ROW][C]104[/C][C]0.613274[/C][C]0.773451[/C][C]0.386726[/C][/ROW]
[ROW][C]105[/C][C]0.628117[/C][C]0.743766[/C][C]0.371883[/C][/ROW]
[ROW][C]106[/C][C]0.605839[/C][C]0.788322[/C][C]0.394161[/C][/ROW]
[ROW][C]107[/C][C]0.598158[/C][C]0.803683[/C][C]0.401842[/C][/ROW]
[ROW][C]108[/C][C]0.63649[/C][C]0.727021[/C][C]0.36351[/C][/ROW]
[ROW][C]109[/C][C]0.602563[/C][C]0.794874[/C][C]0.397437[/C][/ROW]
[ROW][C]110[/C][C]0.577861[/C][C]0.844278[/C][C]0.422139[/C][/ROW]
[ROW][C]111[/C][C]0.582415[/C][C]0.83517[/C][C]0.417585[/C][/ROW]
[ROW][C]112[/C][C]0.602796[/C][C]0.794408[/C][C]0.397204[/C][/ROW]
[ROW][C]113[/C][C]0.589671[/C][C]0.820659[/C][C]0.410329[/C][/ROW]
[ROW][C]114[/C][C]0.68897[/C][C]0.62206[/C][C]0.31103[/C][/ROW]
[ROW][C]115[/C][C]0.662785[/C][C]0.674429[/C][C]0.337215[/C][/ROW]
[ROW][C]116[/C][C]0.63581[/C][C]0.728381[/C][C]0.36419[/C][/ROW]
[ROW][C]117[/C][C]0.60113[/C][C]0.79774[/C][C]0.39887[/C][/ROW]
[ROW][C]118[/C][C]0.576008[/C][C]0.847984[/C][C]0.423992[/C][/ROW]
[ROW][C]119[/C][C]0.540491[/C][C]0.919018[/C][C]0.459509[/C][/ROW]
[ROW][C]120[/C][C]0.507602[/C][C]0.984796[/C][C]0.492398[/C][/ROW]
[ROW][C]121[/C][C]0.483892[/C][C]0.967784[/C][C]0.516108[/C][/ROW]
[ROW][C]122[/C][C]0.449055[/C][C]0.89811[/C][C]0.550945[/C][/ROW]
[ROW][C]123[/C][C]0.420262[/C][C]0.840524[/C][C]0.579738[/C][/ROW]
[ROW][C]124[/C][C]0.392267[/C][C]0.784533[/C][C]0.607733[/C][/ROW]
[ROW][C]125[/C][C]0.381554[/C][C]0.763108[/C][C]0.618446[/C][/ROW]
[ROW][C]126[/C][C]0.355195[/C][C]0.710391[/C][C]0.644805[/C][/ROW]
[ROW][C]127[/C][C]0.339843[/C][C]0.679686[/C][C]0.660157[/C][/ROW]
[ROW][C]128[/C][C]0.448087[/C][C]0.896175[/C][C]0.551913[/C][/ROW]
[ROW][C]129[/C][C]0.429481[/C][C]0.858961[/C][C]0.570519[/C][/ROW]
[ROW][C]130[/C][C]0.418809[/C][C]0.837618[/C][C]0.581191[/C][/ROW]
[ROW][C]131[/C][C]0.406601[/C][C]0.813202[/C][C]0.593399[/C][/ROW]
[ROW][C]132[/C][C]0.375027[/C][C]0.750055[/C][C]0.624973[/C][/ROW]
[ROW][C]133[/C][C]0.396403[/C][C]0.792806[/C][C]0.603597[/C][/ROW]
[ROW][C]134[/C][C]0.366182[/C][C]0.732363[/C][C]0.633818[/C][/ROW]
[ROW][C]135[/C][C]0.378579[/C][C]0.757158[/C][C]0.621421[/C][/ROW]
[ROW][C]136[/C][C]0.36881[/C][C]0.737619[/C][C]0.63119[/C][/ROW]
[ROW][C]137[/C][C]0.338527[/C][C]0.677053[/C][C]0.661473[/C][/ROW]
[ROW][C]138[/C][C]0.315685[/C][C]0.63137[/C][C]0.684315[/C][/ROW]
[ROW][C]139[/C][C]0.28752[/C][C]0.575041[/C][C]0.71248[/C][/ROW]
[ROW][C]140[/C][C]0.263891[/C][C]0.527781[/C][C]0.736109[/C][/ROW]
[ROW][C]141[/C][C]0.236184[/C][C]0.472369[/C][C]0.763816[/C][/ROW]
[ROW][C]142[/C][C]0.238334[/C][C]0.476669[/C][C]0.761666[/C][/ROW]
[ROW][C]143[/C][C]0.213172[/C][C]0.426345[/C][C]0.786828[/C][/ROW]
[ROW][C]144[/C][C]0.193069[/C][C]0.386138[/C][C]0.806931[/C][/ROW]
[ROW][C]145[/C][C]0.178562[/C][C]0.357125[/C][C]0.821438[/C][/ROW]
[ROW][C]146[/C][C]0.170463[/C][C]0.340927[/C][C]0.829537[/C][/ROW]
[ROW][C]147[/C][C]0.181862[/C][C]0.363725[/C][C]0.818138[/C][/ROW]
[ROW][C]148[/C][C]0.201741[/C][C]0.403482[/C][C]0.798259[/C][/ROW]
[ROW][C]149[/C][C]0.222287[/C][C]0.444575[/C][C]0.777713[/C][/ROW]
[ROW][C]150[/C][C]0.216451[/C][C]0.432902[/C][C]0.783549[/C][/ROW]
[ROW][C]151[/C][C]0.193322[/C][C]0.386644[/C][C]0.806678[/C][/ROW]
[ROW][C]152[/C][C]0.171791[/C][C]0.343583[/C][C]0.828209[/C][/ROW]
[ROW][C]153[/C][C]0.186061[/C][C]0.372122[/C][C]0.813939[/C][/ROW]
[ROW][C]154[/C][C]0.204508[/C][C]0.409016[/C][C]0.795492[/C][/ROW]
[ROW][C]155[/C][C]0.186792[/C][C]0.373584[/C][C]0.813208[/C][/ROW]
[ROW][C]156[/C][C]0.165853[/C][C]0.331707[/C][C]0.834147[/C][/ROW]
[ROW][C]157[/C][C]0.145697[/C][C]0.291394[/C][C]0.854303[/C][/ROW]
[ROW][C]158[/C][C]0.221479[/C][C]0.442958[/C][C]0.778521[/C][/ROW]
[ROW][C]159[/C][C]0.239985[/C][C]0.479969[/C][C]0.760015[/C][/ROW]
[ROW][C]160[/C][C]0.216757[/C][C]0.433514[/C][C]0.783243[/C][/ROW]
[ROW][C]161[/C][C]0.191962[/C][C]0.383925[/C][C]0.808038[/C][/ROW]
[ROW][C]162[/C][C]0.169687[/C][C]0.339375[/C][C]0.830313[/C][/ROW]
[ROW][C]163[/C][C]0.149278[/C][C]0.298556[/C][C]0.850722[/C][/ROW]
[ROW][C]164[/C][C]0.252114[/C][C]0.504227[/C][C]0.747886[/C][/ROW]
[ROW][C]165[/C][C]0.247746[/C][C]0.495493[/C][C]0.752254[/C][/ROW]
[ROW][C]166[/C][C]0.241256[/C][C]0.482512[/C][C]0.758744[/C][/ROW]
[ROW][C]167[/C][C]0.213224[/C][C]0.426447[/C][C]0.786776[/C][/ROW]
[ROW][C]168[/C][C]0.191896[/C][C]0.383792[/C][C]0.808104[/C][/ROW]
[ROW][C]169[/C][C]0.246492[/C][C]0.492983[/C][C]0.753508[/C][/ROW]
[ROW][C]170[/C][C]0.272642[/C][C]0.545284[/C][C]0.727358[/C][/ROW]
[ROW][C]171[/C][C]0.243194[/C][C]0.486388[/C][C]0.756806[/C][/ROW]
[ROW][C]172[/C][C]0.23788[/C][C]0.47576[/C][C]0.76212[/C][/ROW]
[ROW][C]173[/C][C]0.40089[/C][C]0.80178[/C][C]0.59911[/C][/ROW]
[ROW][C]174[/C][C]0.382483[/C][C]0.764967[/C][C]0.617517[/C][/ROW]
[ROW][C]175[/C][C]0.402881[/C][C]0.805762[/C][C]0.597119[/C][/ROW]
[ROW][C]176[/C][C]0.410788[/C][C]0.821575[/C][C]0.589212[/C][/ROW]
[ROW][C]177[/C][C]0.477374[/C][C]0.954749[/C][C]0.522626[/C][/ROW]
[ROW][C]178[/C][C]0.440587[/C][C]0.881174[/C][C]0.559413[/C][/ROW]
[ROW][C]179[/C][C]0.417095[/C][C]0.834191[/C][C]0.582905[/C][/ROW]
[ROW][C]180[/C][C]0.420347[/C][C]0.840694[/C][C]0.579653[/C][/ROW]
[ROW][C]181[/C][C]0.385741[/C][C]0.771482[/C][C]0.614259[/C][/ROW]
[ROW][C]182[/C][C]0.391281[/C][C]0.782561[/C][C]0.608719[/C][/ROW]
[ROW][C]183[/C][C]0.355311[/C][C]0.710621[/C][C]0.644689[/C][/ROW]
[ROW][C]184[/C][C]0.332518[/C][C]0.665036[/C][C]0.667482[/C][/ROW]
[ROW][C]185[/C][C]0.331953[/C][C]0.663905[/C][C]0.668047[/C][/ROW]
[ROW][C]186[/C][C]0.319829[/C][C]0.639658[/C][C]0.680171[/C][/ROW]
[ROW][C]187[/C][C]0.286335[/C][C]0.57267[/C][C]0.713665[/C][/ROW]
[ROW][C]188[/C][C]0.256776[/C][C]0.513551[/C][C]0.743224[/C][/ROW]
[ROW][C]189[/C][C]0.22676[/C][C]0.45352[/C][C]0.77324[/C][/ROW]
[ROW][C]190[/C][C]0.200969[/C][C]0.401937[/C][C]0.799031[/C][/ROW]
[ROW][C]191[/C][C]0.2084[/C][C]0.416801[/C][C]0.7916[/C][/ROW]
[ROW][C]192[/C][C]0.192344[/C][C]0.384689[/C][C]0.807656[/C][/ROW]
[ROW][C]193[/C][C]0.199337[/C][C]0.398674[/C][C]0.800663[/C][/ROW]
[ROW][C]194[/C][C]0.189317[/C][C]0.378635[/C][C]0.810683[/C][/ROW]
[ROW][C]195[/C][C]0.18561[/C][C]0.37122[/C][C]0.81439[/C][/ROW]
[ROW][C]196[/C][C]0.197724[/C][C]0.395448[/C][C]0.802276[/C][/ROW]
[ROW][C]197[/C][C]0.234844[/C][C]0.469688[/C][C]0.765156[/C][/ROW]
[ROW][C]198[/C][C]0.216714[/C][C]0.433428[/C][C]0.783286[/C][/ROW]
[ROW][C]199[/C][C]0.250627[/C][C]0.501254[/C][C]0.749373[/C][/ROW]
[ROW][C]200[/C][C]0.219523[/C][C]0.439045[/C][C]0.780477[/C][/ROW]
[ROW][C]201[/C][C]0.261424[/C][C]0.522848[/C][C]0.738576[/C][/ROW]
[ROW][C]202[/C][C]0.237237[/C][C]0.474473[/C][C]0.762763[/C][/ROW]
[ROW][C]203[/C][C]0.287107[/C][C]0.574215[/C][C]0.712893[/C][/ROW]
[ROW][C]204[/C][C]0.25743[/C][C]0.514861[/C][C]0.74257[/C][/ROW]
[ROW][C]205[/C][C]0.224785[/C][C]0.44957[/C][C]0.775215[/C][/ROW]
[ROW][C]206[/C][C]0.204253[/C][C]0.408505[/C][C]0.795747[/C][/ROW]
[ROW][C]207[/C][C]0.174912[/C][C]0.349825[/C][C]0.825088[/C][/ROW]
[ROW][C]208[/C][C]0.195381[/C][C]0.390762[/C][C]0.804619[/C][/ROW]
[ROW][C]209[/C][C]0.165889[/C][C]0.331778[/C][C]0.834111[/C][/ROW]
[ROW][C]210[/C][C]0.181629[/C][C]0.363257[/C][C]0.818371[/C][/ROW]
[ROW][C]211[/C][C]0.205014[/C][C]0.410028[/C][C]0.794986[/C][/ROW]
[ROW][C]212[/C][C]0.190551[/C][C]0.381102[/C][C]0.809449[/C][/ROW]
[ROW][C]213[/C][C]0.164416[/C][C]0.328833[/C][C]0.835584[/C][/ROW]
[ROW][C]214[/C][C]0.209647[/C][C]0.419294[/C][C]0.790353[/C][/ROW]
[ROW][C]215[/C][C]0.186017[/C][C]0.372035[/C][C]0.813983[/C][/ROW]
[ROW][C]216[/C][C]0.171322[/C][C]0.342645[/C][C]0.828678[/C][/ROW]
[ROW][C]217[/C][C]0.199849[/C][C]0.399697[/C][C]0.800151[/C][/ROW]
[ROW][C]218[/C][C]0.171803[/C][C]0.343606[/C][C]0.828197[/C][/ROW]
[ROW][C]219[/C][C]0.157979[/C][C]0.315957[/C][C]0.842021[/C][/ROW]
[ROW][C]220[/C][C]0.166331[/C][C]0.332661[/C][C]0.833669[/C][/ROW]
[ROW][C]221[/C][C]0.168652[/C][C]0.337304[/C][C]0.831348[/C][/ROW]
[ROW][C]222[/C][C]0.172888[/C][C]0.345777[/C][C]0.827112[/C][/ROW]
[ROW][C]223[/C][C]0.15623[/C][C]0.312461[/C][C]0.84377[/C][/ROW]
[ROW][C]224[/C][C]0.128408[/C][C]0.256817[/C][C]0.871592[/C][/ROW]
[ROW][C]225[/C][C]0.115116[/C][C]0.230232[/C][C]0.884884[/C][/ROW]
[ROW][C]226[/C][C]0.141734[/C][C]0.283468[/C][C]0.858266[/C][/ROW]
[ROW][C]227[/C][C]0.352167[/C][C]0.704335[/C][C]0.647833[/C][/ROW]
[ROW][C]228[/C][C]0.313269[/C][C]0.626538[/C][C]0.686731[/C][/ROW]
[ROW][C]229[/C][C]0.275941[/C][C]0.551882[/C][C]0.724059[/C][/ROW]
[ROW][C]230[/C][C]0.252237[/C][C]0.504473[/C][C]0.747763[/C][/ROW]
[ROW][C]231[/C][C]0.216137[/C][C]0.432274[/C][C]0.783863[/C][/ROW]
[ROW][C]232[/C][C]0.243168[/C][C]0.486337[/C][C]0.756832[/C][/ROW]
[ROW][C]233[/C][C]0.202296[/C][C]0.404592[/C][C]0.797704[/C][/ROW]
[ROW][C]234[/C][C]0.166906[/C][C]0.333812[/C][C]0.833094[/C][/ROW]
[ROW][C]235[/C][C]0.173316[/C][C]0.346632[/C][C]0.826684[/C][/ROW]
[ROW][C]236[/C][C]0.145942[/C][C]0.291885[/C][C]0.854058[/C][/ROW]
[ROW][C]237[/C][C]0.123264[/C][C]0.246529[/C][C]0.876736[/C][/ROW]
[ROW][C]238[/C][C]0.0926971[/C][C]0.185394[/C][C]0.907303[/C][/ROW]
[ROW][C]239[/C][C]0.186404[/C][C]0.372808[/C][C]0.813596[/C][/ROW]
[ROW][C]240[/C][C]0.207485[/C][C]0.41497[/C][C]0.792515[/C][/ROW]
[ROW][C]241[/C][C]0.209967[/C][C]0.419934[/C][C]0.790033[/C][/ROW]
[ROW][C]242[/C][C]0.825588[/C][C]0.348825[/C][C]0.174412[/C][/ROW]
[ROW][C]243[/C][C]0.764257[/C][C]0.471486[/C][C]0.235743[/C][/ROW]
[ROW][C]244[/C][C]0.721208[/C][C]0.557584[/C][C]0.278792[/C][/ROW]
[ROW][C]245[/C][C]0.680475[/C][C]0.639049[/C][C]0.319525[/C][/ROW]
[ROW][C]246[/C][C]0.603894[/C][C]0.792213[/C][C]0.396106[/C][/ROW]
[ROW][C]247[/C][C]0.583832[/C][C]0.832336[/C][C]0.416168[/C][/ROW]
[ROW][C]248[/C][C]0.574022[/C][C]0.851956[/C][C]0.425978[/C][/ROW]
[ROW][C]249[/C][C]0.458431[/C][C]0.916863[/C][C]0.541569[/C][/ROW]
[ROW][C]250[/C][C]0.496857[/C][C]0.993715[/C][C]0.503143[/C][/ROW]
[ROW][C]251[/C][C]0.382101[/C][C]0.764202[/C][C]0.617899[/C][/ROW]
[ROW][C]252[/C][C]0.797467[/C][C]0.405066[/C][C]0.202533[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226557&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226557&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
120.2612320.5224640.738768
130.9818230.03635330.0181767
140.9645510.07089780.0354489
150.9592630.08147470.0407373
160.9311620.1376750.0688375
170.9677420.06451580.0322579
180.9479790.1040420.052021
190.9211020.1577960.0788981
200.9107330.1785340.0892669
210.9190580.1618840.0809418
220.9320630.1358740.0679368
230.9361210.1277570.0638786
240.9120470.1759060.0879529
250.8937260.2125470.106274
260.9990070.001985720.000992859
270.9985110.002977660.00148883
280.9977030.004593740.00229687
290.9964660.00706820.0035341
300.9963170.007365120.00368256
310.9949470.01010550.00505273
320.9924180.01516390.00758195
330.9924940.01501250.00750625
340.9897880.02042350.0102118
350.9860470.02790510.0139525
360.9812370.03752560.0187628
370.9841510.03169840.0158492
380.9794860.04102880.0205144
390.9787430.04251480.0212574
400.9758590.04828180.0241409
410.9678040.06439290.0321964
420.9691410.06171730.0308586
430.9614420.07711530.0385577
440.9518770.09624560.0481228
450.9391340.1217310.0608657
460.9410610.1178780.0589392
470.931070.1378610.0689303
480.9156480.1687040.0843521
490.9401180.1197630.0598816
500.9324550.1350910.0675453
510.9205230.1589540.079477
520.9033860.1932280.0966141
530.8856210.2287580.114379
540.867030.265940.13297
550.8574290.2851410.142571
560.8453610.3092770.154639
570.8397720.3204570.160228
580.8122430.3755140.187757
590.8415550.3168890.158445
600.8254040.3491920.174596
610.836630.3267390.16337
620.8210880.3578250.178912
630.8585780.2828450.141422
640.8523640.2952720.147636
650.8534310.2931370.146569
660.9249010.1501970.0750987
670.9140660.1718680.0859338
680.9161040.1677930.0838963
690.9185050.1629890.0814946
700.9178030.1643950.0821973
710.9082640.1834720.0917362
720.9357030.1285950.0642975
730.9245260.1509490.0754743
740.909380.1812390.0906196
750.900070.199860.0999299
760.8829710.2340580.117029
770.9114580.1770840.0885421
780.8991380.2017240.100862
790.8944350.2111310.105565
800.8868430.2263140.113157
810.867780.2644390.13222
820.847950.30410.15205
830.8470630.3058730.152937
840.8295180.3409630.170482
850.8059370.3881260.194063
860.7825860.4348270.217414
870.7544940.4910120.245506
880.7255340.5489310.274466
890.7918090.4163810.208191
900.8322760.3354480.167724
910.8110790.3778410.188921
920.7866920.4266170.213308
930.7666120.4667760.233388
940.7427890.5144210.257211
950.7190250.561950.280975
960.6917510.6164980.308249
970.6646980.6706030.335302
980.6697970.6604050.330203
990.6354590.7290820.364541
1000.6302590.7394830.369741
1010.6039030.7921940.396097
1020.5769490.8461020.423051
1030.6271420.7457150.372858
1040.6132740.7734510.386726
1050.6281170.7437660.371883
1060.6058390.7883220.394161
1070.5981580.8036830.401842
1080.636490.7270210.36351
1090.6025630.7948740.397437
1100.5778610.8442780.422139
1110.5824150.835170.417585
1120.6027960.7944080.397204
1130.5896710.8206590.410329
1140.688970.622060.31103
1150.6627850.6744290.337215
1160.635810.7283810.36419
1170.601130.797740.39887
1180.5760080.8479840.423992
1190.5404910.9190180.459509
1200.5076020.9847960.492398
1210.4838920.9677840.516108
1220.4490550.898110.550945
1230.4202620.8405240.579738
1240.3922670.7845330.607733
1250.3815540.7631080.618446
1260.3551950.7103910.644805
1270.3398430.6796860.660157
1280.4480870.8961750.551913
1290.4294810.8589610.570519
1300.4188090.8376180.581191
1310.4066010.8132020.593399
1320.3750270.7500550.624973
1330.3964030.7928060.603597
1340.3661820.7323630.633818
1350.3785790.7571580.621421
1360.368810.7376190.63119
1370.3385270.6770530.661473
1380.3156850.631370.684315
1390.287520.5750410.71248
1400.2638910.5277810.736109
1410.2361840.4723690.763816
1420.2383340.4766690.761666
1430.2131720.4263450.786828
1440.1930690.3861380.806931
1450.1785620.3571250.821438
1460.1704630.3409270.829537
1470.1818620.3637250.818138
1480.2017410.4034820.798259
1490.2222870.4445750.777713
1500.2164510.4329020.783549
1510.1933220.3866440.806678
1520.1717910.3435830.828209
1530.1860610.3721220.813939
1540.2045080.4090160.795492
1550.1867920.3735840.813208
1560.1658530.3317070.834147
1570.1456970.2913940.854303
1580.2214790.4429580.778521
1590.2399850.4799690.760015
1600.2167570.4335140.783243
1610.1919620.3839250.808038
1620.1696870.3393750.830313
1630.1492780.2985560.850722
1640.2521140.5042270.747886
1650.2477460.4954930.752254
1660.2412560.4825120.758744
1670.2132240.4264470.786776
1680.1918960.3837920.808104
1690.2464920.4929830.753508
1700.2726420.5452840.727358
1710.2431940.4863880.756806
1720.237880.475760.76212
1730.400890.801780.59911
1740.3824830.7649670.617517
1750.4028810.8057620.597119
1760.4107880.8215750.589212
1770.4773740.9547490.522626
1780.4405870.8811740.559413
1790.4170950.8341910.582905
1800.4203470.8406940.579653
1810.3857410.7714820.614259
1820.3912810.7825610.608719
1830.3553110.7106210.644689
1840.3325180.6650360.667482
1850.3319530.6639050.668047
1860.3198290.6396580.680171
1870.2863350.572670.713665
1880.2567760.5135510.743224
1890.226760.453520.77324
1900.2009690.4019370.799031
1910.20840.4168010.7916
1920.1923440.3846890.807656
1930.1993370.3986740.800663
1940.1893170.3786350.810683
1950.185610.371220.81439
1960.1977240.3954480.802276
1970.2348440.4696880.765156
1980.2167140.4334280.783286
1990.2506270.5012540.749373
2000.2195230.4390450.780477
2010.2614240.5228480.738576
2020.2372370.4744730.762763
2030.2871070.5742150.712893
2040.257430.5148610.74257
2050.2247850.449570.775215
2060.2042530.4085050.795747
2070.1749120.3498250.825088
2080.1953810.3907620.804619
2090.1658890.3317780.834111
2100.1816290.3632570.818371
2110.2050140.4100280.794986
2120.1905510.3811020.809449
2130.1644160.3288330.835584
2140.2096470.4192940.790353
2150.1860170.3720350.813983
2160.1713220.3426450.828678
2170.1998490.3996970.800151
2180.1718030.3436060.828197
2190.1579790.3159570.842021
2200.1663310.3326610.833669
2210.1686520.3373040.831348
2220.1728880.3457770.827112
2230.156230.3124610.84377
2240.1284080.2568170.871592
2250.1151160.2302320.884884
2260.1417340.2834680.858266
2270.3521670.7043350.647833
2280.3132690.6265380.686731
2290.2759410.5518820.724059
2300.2522370.5044730.747763
2310.2161370.4322740.783863
2320.2431680.4863370.756832
2330.2022960.4045920.797704
2340.1669060.3338120.833094
2350.1733160.3466320.826684
2360.1459420.2918850.854058
2370.1232640.2465290.876736
2380.09269710.1853940.907303
2390.1864040.3728080.813596
2400.2074850.414970.792515
2410.2099670.4199340.790033
2420.8255880.3488250.174412
2430.7642570.4714860.235743
2440.7212080.5575840.278792
2450.6804750.6390490.319525
2460.6038940.7922130.396106
2470.5838320.8323360.416168
2480.5740220.8519560.425978
2490.4584310.9168630.541569
2500.4968570.9937150.503143
2510.3821010.7642020.617899
2520.7974670.4050660.202533






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level50.0207469NOK
5% type I error level160.06639NOK
10% type I error level230.0954357OK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 5 & 0.0207469 & NOK \tabularnewline
5% type I error level & 16 & 0.06639 & NOK \tabularnewline
10% type I error level & 23 & 0.0954357 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226557&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]5[/C][C]0.0207469[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]16[/C][C]0.06639[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]23[/C][C]0.0954357[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226557&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226557&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 level50.0207469NOK
5% type I error level160.06639NOK
10% type I error level230.0954357OK


Figures (Output of Computation)

Figure 1
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Figure 2
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Figure 5
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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 = 5 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 5 ; par2 = Do not include Seasonal Dummies ; par3 = 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')
}