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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 computationWed, 27 Nov 2013 06:49:50 -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/27/t1385553038kjiyzg1q98dj8v8.htm/, Retrieved Mon, 29 Apr 2024 08:01:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=228964, Retrieved Mon, 29 Apr 2024 08:01:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [kshld] [2013-11-27 11:49:50] [e931f330ae8eb739e69629b6955c783c] [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 time19 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 19 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=228964&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]19 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=228964&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=228964&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 time19 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Connected[t] = + 17.0817 + 0.432448Separate[t] + 0.150459Learning[t] -0.0360703Software[t] + 0.0356642Happiness[t] -0.0600916Depression[t] -0.0727511Sport1[t] + 0.141752Sport2[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Connected[t] =  +  17.0817 +  0.432448Separate[t] +  0.150459Learning[t] -0.0360703Software[t] +  0.0356642Happiness[t] -0.0600916Depression[t] -0.0727511Sport1[t] +  0.141752Sport2[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=228964&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Connected[t] =  +  17.0817 +  0.432448Separate[t] +  0.150459Learning[t] -0.0360703Software[t] +  0.0356642Happiness[t] -0.0600916Depression[t] -0.0727511Sport1[t] +  0.141752Sport2[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=228964&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=228964&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
Connected[t] = + 17.0817 + 0.432448Separate[t] + 0.150459Learning[t] -0.0360703Software[t] + 0.0356642Happiness[t] -0.0600916Depression[t] -0.0727511Sport1[t] + 0.141752Sport2[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)17.08173.290215.1924.2497e-072.12485e-07
Separate0.4324480.05800567.4551.38638e-126.9319e-13
Learning0.1504590.1114971.3490.1783840.0891921
Software-0.03607030.115018-0.31360.7540750.377037
Happiness0.03566420.1043310.34180.7327540.366377
Depression-0.06009160.076224-0.78840.4312180.215609
Sport1-0.07275110.0676197-1.0760.2829910.141495
Sport20.1417520.1006851.4080.1603820.0801912

\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) & 17.0817 & 3.29021 & 5.192 & 4.2497e-07 & 2.12485e-07 \tabularnewline
Separate & 0.432448 & 0.0580056 & 7.455 & 1.38638e-12 & 6.9319e-13 \tabularnewline
Learning & 0.150459 & 0.111497 & 1.349 & 0.178384 & 0.0891921 \tabularnewline
Software & -0.0360703 & 0.115018 & -0.3136 & 0.754075 & 0.377037 \tabularnewline
Happiness & 0.0356642 & 0.104331 & 0.3418 & 0.732754 & 0.366377 \tabularnewline
Depression & -0.0600916 & 0.076224 & -0.7884 & 0.431218 & 0.215609 \tabularnewline
Sport1 & -0.0727511 & 0.0676197 & -1.076 & 0.282991 & 0.141495 \tabularnewline
Sport2 & 0.141752 & 0.100685 & 1.408 & 0.160382 & 0.0801912 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=228964&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]17.0817[/C][C]3.29021[/C][C]5.192[/C][C]4.2497e-07[/C][C]2.12485e-07[/C][/ROW]
[ROW][C]Separate[/C][C]0.432448[/C][C]0.0580056[/C][C]7.455[/C][C]1.38638e-12[/C][C]6.9319e-13[/C][/ROW]
[ROW][C]Learning[/C][C]0.150459[/C][C]0.111497[/C][C]1.349[/C][C]0.178384[/C][C]0.0891921[/C][/ROW]
[ROW][C]Software[/C][C]-0.0360703[/C][C]0.115018[/C][C]-0.3136[/C][C]0.754075[/C][C]0.377037[/C][/ROW]
[ROW][C]Happiness[/C][C]0.0356642[/C][C]0.104331[/C][C]0.3418[/C][C]0.732754[/C][C]0.366377[/C][/ROW]
[ROW][C]Depression[/C][C]-0.0600916[/C][C]0.076224[/C][C]-0.7884[/C][C]0.431218[/C][C]0.215609[/C][/ROW]
[ROW][C]Sport1[/C][C]-0.0727511[/C][C]0.0676197[/C][C]-1.076[/C][C]0.282991[/C][C]0.141495[/C][/ROW]
[ROW][C]Sport2[/C][C]0.141752[/C][C]0.100685[/C][C]1.408[/C][C]0.160382[/C][C]0.0801912[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=228964&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=228964&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)17.08173.290215.1924.2497e-072.12485e-07
Separate0.4324480.05800567.4551.38638e-126.9319e-13
Learning0.1504590.1114971.3490.1783840.0891921
Software-0.03607030.115018-0.31360.7540750.377037
Happiness0.03566420.1043310.34180.7327540.366377
Depression-0.06009160.076224-0.78840.4312180.215609
Sport1-0.07275110.0676197-1.0760.2829910.141495
Sport20.1417520.1006851.4080.1603820.0801912






Multiple Linear Regression - Regression Statistics
Multiple R0.480973
R-squared0.231335
Adjusted R-squared0.210316
F-TEST (value)11.0064
F-TEST (DF numerator)7
F-TEST (DF denominator)256
p-value3.75211e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.37371
Sum Squared Residuals2913.77

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.480973 \tabularnewline
R-squared & 0.231335 \tabularnewline
Adjusted R-squared & 0.210316 \tabularnewline
F-TEST (value) & 11.0064 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 256 \tabularnewline
p-value & 3.75211e-12 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.37371 \tabularnewline
Sum Squared Residuals & 2913.77 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=228964&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.480973[/C][/ROW]
[ROW][C]R-squared[/C][C]0.231335[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.210316[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]11.0064[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]256[/C][/ROW]
[ROW][C]p-value[/C][C]3.75211e-12[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.37371[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2913.77[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=228964&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=228964&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 R0.480973
R-squared0.231335
Adjusted R-squared0.210316
F-TEST (value)11.0064
F-TEST (DF numerator)7
F-TEST (DF denominator)256
p-value3.75211e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.37371
Sum Squared Residuals2913.77






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
14135.49635.50367
23934.10264.89742
33035.2381-5.23811
43134.0373-3.03735
53435.02-1.02002
63532.12662.87341
73933.47985.52021
83435.3658-1.3658
93634.82031.17971
103736.3340.66597
113833.73814.26187
123634.70561.2944
133834.72643.27357
143936.00392.99608
153336.3236-3.32359
163233.7181-1.71808
173633.39682.60324
183837.28890.711127
193936.88042.11962
203233.6403-1.64026
213234.4444-2.44442
223133.3031-2.30315
233936.4322.56798
243736.71520.28478
253934.10484.89519
264133.63147.36865
273634.73991.26008
283335.6494-2.64939
293333.7249-0.72494
303434.0721-0.0721079
313133.4672-2.46721
322732.7485-5.74852
333733.16873.83128
343436.4743-2.47426
353432.01691.98315
363233.7663-1.76626
372931.4482-2.44822
383633.772.23004
392933.5311-4.53113
403534.19560.804376
413733.95613.04391
423433.53620.463812
433834.22733.77266
443533.29621.70382
453831.74376.2563
463733.77373.22627
473836.94541.05464
483334.5833-1.58328
493635.80020.199762
503833.31884.68123
513236.3858-4.38583
523232.2547-0.254658
533232.6973-0.697335
543437.0499-3.04989
553232.3806-0.380555
563734.90432.0957
573934.54414.45585
582934.8329-5.83285
593735.12151.87848
603534.3610.639049
613030.507-0.507023
623834.2793.72101
633434.775-0.774974
643134.1963-3.19633
653432.96511.03486
663535.9926-0.992579
673634.94341.05656
683031.2772-1.27718
693936.30932.69066
703535.6842-0.684238
713834.94673.05325
723135.6429-4.64291
733436.8155-2.8155
743837.59970.400328
753431.51142.48855
763932.70036.29968
773735.84861.15141
783433.15750.842481
792832.825-4.82501
803731.40445.59561
813335.2716-2.27156
823536.2644-1.26445
833733.81063.18942
843234.4579-2.45794
853333.3129-0.312866
863836.40531.59473
873334.4714-1.47141
882933.2061-4.20608
893333.1069-0.10694
903135.1656-4.16559
913633.24832.75167
923537.4591-2.45912
933231.45070.549266
942932.133-3.13303
953935.44843.55164
963734.69782.30215
973533.25461.74538
983734.6162.38401
993235.3211-3.32113
1003835.40732.59266
1013734.76252.23751
1023636.5872-0.587209
1033231.93370.066313
1043336.4463-3.44627
1054032.48727.51282
1063835.38522.61476
1074136.42524.5748
1083634.43251.5675
1094336.6186.38199
1103034.6404-4.64039
1113133.5993-2.5993
1123238.17-6.17001
1133231.30440.69563
1143734.28392.71613
1153734.38542.61463
1163336.4244-3.42443
1173437.2784-3.27838
1183334.6688-1.66883
1193835.4712.52897
1203334.9174-1.91735
1213131.3458-0.34577
1223836.5241.47597
1233736.60460.395405
1243633.21752.78246
1253133.9364-2.93643
1263934.19064.80945
1274436.96717.03289
1283336.2187-3.21873
1293533.5141.48598
1303233.99-1.99003
1312832.0155-4.01553
1324036.05393.94612
1332732.0387-5.03874
1343736.13920.860798
1353232.5051-0.505106
1362827.98640.0136295
1373435.1058-1.1058
1383033.9754-3.97535
1393534.18990.810134
1403134.0824-3.08236
1413234.587-2.58704
1423035.8622-5.86215
1433035.2686-5.26861
1443129.77121.22879
1454032.93487.06524
1463231.980.0200486
1473634.80561.1944
1483233.2933-1.29333
1493532.94042.05961
1503836.37781.62217
1514235.22746.77265
1523436.2738-2.27377
1533536.844-1.844
1543833.85764.14244
1553332.64040.359616
1563633.24832.75167
1573235.5554-3.55537
1583336.2187-3.21873
1593433.97170.028306
1603235.3545-3.35452
1613435.3202-1.32019
1622730.1288-3.12884
1633130.26980.730168
1643833.89614.10387
1653435.9756-1.97563
1662431.0306-7.03065
1673033.9699-3.96987
1682629.5553-3.55532
1693435.5194-1.51939
1702734.7971-7.79713
1713732.12154.8785
1723635.90530.0946646
1734134.24986.75016
1742929.1056-0.105644
1753631.35144.64863
1763234.5628-2.56283
1773733.37723.62278
1783031.6744-1.67436
1793133.1406-2.14055
1803834.68423.3158
1813635.21190.788096
1823532.35412.64589
1833135.986-4.98598
1843833.62654.37351
1852231.1922-9.19222
1863234.6542-2.65425
1873634.31581.68425
1883932.89626.10376
1892830.5392-2.53918
1903234.3454-2.34544
1913232.7293-0.729294
1923837.03330.966719
1933233.6172-1.61715
1943535.825-0.824975
1953233.208-1.20801
1963736.19020.80983
1973432.98461.01536
1983335.8382-2.83823
1993333.0121-0.0121309
2002633.2123-7.21225
2013032.5463-2.54634
2022432.265-8.265
2033432.26061.73944
2043432.94781.05216
2053334.4845-1.48449
2063435.259-1.25899
2073536.4836-1.48358
2083534.90490.095135
2093633.41372.58629
2103434.0747-0.0747196
2113433.03860.961399
2124138.79352.20652
2133236.4432-4.44322
2143033.6623-3.66234
2153534.35840.641591
2162830.4754-2.47543
2173335.511-2.51097
2183934.64164.35837
2193633.51342.48664
2203636.8704-0.870426
2213533.53831.46166
2223834.41993.58014
2233333.0782-0.0781919
2243133.3941-2.39408
2253432.1351.86502
2263234.4528-2.45282
2273133.4317-2.43165
2283333.5099-0.509871
2293432.73811.26186
2303434.3122-0.312151
2313432.50291.49709
2323335.3809-2.38091
2333234.8535-2.85353
2344134.28046.71963
2353433.54410.455868
2363632.33573.66426
2373731.40555.5945
2383631.00364.99635
2392933.015-4.015
2403731.97755.02253
2412733.3748-6.37481
2423533.73351.26653
2432830.7949-2.79491
2443533.42711.57294
2453733.62473.37527
2462933.8586-4.85858
2473234.7097-2.70972
2483632.1273.87303
2491927.8639-8.8639
2502127.0748-6.07482
2513133.7422-2.7422
2523332.6020.398012
2533634.24841.75157
2543333.826-0.825973
2553733.49373.50626
2563433.80980.190233
2573534.75490.245143
2583133.1368-2.13676
2593733.91523.08475
2603531.75753.24255
2612732.424-5.42398
2623435.4156-1.41557
2634033.99786.0022
2642933.3373-4.33731

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 41 & 35.4963 & 5.50367 \tabularnewline
2 & 39 & 34.1026 & 4.89742 \tabularnewline
3 & 30 & 35.2381 & -5.23811 \tabularnewline
4 & 31 & 34.0373 & -3.03735 \tabularnewline
5 & 34 & 35.02 & -1.02002 \tabularnewline
6 & 35 & 32.1266 & 2.87341 \tabularnewline
7 & 39 & 33.4798 & 5.52021 \tabularnewline
8 & 34 & 35.3658 & -1.3658 \tabularnewline
9 & 36 & 34.8203 & 1.17971 \tabularnewline
10 & 37 & 36.334 & 0.66597 \tabularnewline
11 & 38 & 33.7381 & 4.26187 \tabularnewline
12 & 36 & 34.7056 & 1.2944 \tabularnewline
13 & 38 & 34.7264 & 3.27357 \tabularnewline
14 & 39 & 36.0039 & 2.99608 \tabularnewline
15 & 33 & 36.3236 & -3.32359 \tabularnewline
16 & 32 & 33.7181 & -1.71808 \tabularnewline
17 & 36 & 33.3968 & 2.60324 \tabularnewline
18 & 38 & 37.2889 & 0.711127 \tabularnewline
19 & 39 & 36.8804 & 2.11962 \tabularnewline
20 & 32 & 33.6403 & -1.64026 \tabularnewline
21 & 32 & 34.4444 & -2.44442 \tabularnewline
22 & 31 & 33.3031 & -2.30315 \tabularnewline
23 & 39 & 36.432 & 2.56798 \tabularnewline
24 & 37 & 36.7152 & 0.28478 \tabularnewline
25 & 39 & 34.1048 & 4.89519 \tabularnewline
26 & 41 & 33.6314 & 7.36865 \tabularnewline
27 & 36 & 34.7399 & 1.26008 \tabularnewline
28 & 33 & 35.6494 & -2.64939 \tabularnewline
29 & 33 & 33.7249 & -0.72494 \tabularnewline
30 & 34 & 34.0721 & -0.0721079 \tabularnewline
31 & 31 & 33.4672 & -2.46721 \tabularnewline
32 & 27 & 32.7485 & -5.74852 \tabularnewline
33 & 37 & 33.1687 & 3.83128 \tabularnewline
34 & 34 & 36.4743 & -2.47426 \tabularnewline
35 & 34 & 32.0169 & 1.98315 \tabularnewline
36 & 32 & 33.7663 & -1.76626 \tabularnewline
37 & 29 & 31.4482 & -2.44822 \tabularnewline
38 & 36 & 33.77 & 2.23004 \tabularnewline
39 & 29 & 33.5311 & -4.53113 \tabularnewline
40 & 35 & 34.1956 & 0.804376 \tabularnewline
41 & 37 & 33.9561 & 3.04391 \tabularnewline
42 & 34 & 33.5362 & 0.463812 \tabularnewline
43 & 38 & 34.2273 & 3.77266 \tabularnewline
44 & 35 & 33.2962 & 1.70382 \tabularnewline
45 & 38 & 31.7437 & 6.2563 \tabularnewline
46 & 37 & 33.7737 & 3.22627 \tabularnewline
47 & 38 & 36.9454 & 1.05464 \tabularnewline
48 & 33 & 34.5833 & -1.58328 \tabularnewline
49 & 36 & 35.8002 & 0.199762 \tabularnewline
50 & 38 & 33.3188 & 4.68123 \tabularnewline
51 & 32 & 36.3858 & -4.38583 \tabularnewline
52 & 32 & 32.2547 & -0.254658 \tabularnewline
53 & 32 & 32.6973 & -0.697335 \tabularnewline
54 & 34 & 37.0499 & -3.04989 \tabularnewline
55 & 32 & 32.3806 & -0.380555 \tabularnewline
56 & 37 & 34.9043 & 2.0957 \tabularnewline
57 & 39 & 34.5441 & 4.45585 \tabularnewline
58 & 29 & 34.8329 & -5.83285 \tabularnewline
59 & 37 & 35.1215 & 1.87848 \tabularnewline
60 & 35 & 34.361 & 0.639049 \tabularnewline
61 & 30 & 30.507 & -0.507023 \tabularnewline
62 & 38 & 34.279 & 3.72101 \tabularnewline
63 & 34 & 34.775 & -0.774974 \tabularnewline
64 & 31 & 34.1963 & -3.19633 \tabularnewline
65 & 34 & 32.9651 & 1.03486 \tabularnewline
66 & 35 & 35.9926 & -0.992579 \tabularnewline
67 & 36 & 34.9434 & 1.05656 \tabularnewline
68 & 30 & 31.2772 & -1.27718 \tabularnewline
69 & 39 & 36.3093 & 2.69066 \tabularnewline
70 & 35 & 35.6842 & -0.684238 \tabularnewline
71 & 38 & 34.9467 & 3.05325 \tabularnewline
72 & 31 & 35.6429 & -4.64291 \tabularnewline
73 & 34 & 36.8155 & -2.8155 \tabularnewline
74 & 38 & 37.5997 & 0.400328 \tabularnewline
75 & 34 & 31.5114 & 2.48855 \tabularnewline
76 & 39 & 32.7003 & 6.29968 \tabularnewline
77 & 37 & 35.8486 & 1.15141 \tabularnewline
78 & 34 & 33.1575 & 0.842481 \tabularnewline
79 & 28 & 32.825 & -4.82501 \tabularnewline
80 & 37 & 31.4044 & 5.59561 \tabularnewline
81 & 33 & 35.2716 & -2.27156 \tabularnewline
82 & 35 & 36.2644 & -1.26445 \tabularnewline
83 & 37 & 33.8106 & 3.18942 \tabularnewline
84 & 32 & 34.4579 & -2.45794 \tabularnewline
85 & 33 & 33.3129 & -0.312866 \tabularnewline
86 & 38 & 36.4053 & 1.59473 \tabularnewline
87 & 33 & 34.4714 & -1.47141 \tabularnewline
88 & 29 & 33.2061 & -4.20608 \tabularnewline
89 & 33 & 33.1069 & -0.10694 \tabularnewline
90 & 31 & 35.1656 & -4.16559 \tabularnewline
91 & 36 & 33.2483 & 2.75167 \tabularnewline
92 & 35 & 37.4591 & -2.45912 \tabularnewline
93 & 32 & 31.4507 & 0.549266 \tabularnewline
94 & 29 & 32.133 & -3.13303 \tabularnewline
95 & 39 & 35.4484 & 3.55164 \tabularnewline
96 & 37 & 34.6978 & 2.30215 \tabularnewline
97 & 35 & 33.2546 & 1.74538 \tabularnewline
98 & 37 & 34.616 & 2.38401 \tabularnewline
99 & 32 & 35.3211 & -3.32113 \tabularnewline
100 & 38 & 35.4073 & 2.59266 \tabularnewline
101 & 37 & 34.7625 & 2.23751 \tabularnewline
102 & 36 & 36.5872 & -0.587209 \tabularnewline
103 & 32 & 31.9337 & 0.066313 \tabularnewline
104 & 33 & 36.4463 & -3.44627 \tabularnewline
105 & 40 & 32.4872 & 7.51282 \tabularnewline
106 & 38 & 35.3852 & 2.61476 \tabularnewline
107 & 41 & 36.4252 & 4.5748 \tabularnewline
108 & 36 & 34.4325 & 1.5675 \tabularnewline
109 & 43 & 36.618 & 6.38199 \tabularnewline
110 & 30 & 34.6404 & -4.64039 \tabularnewline
111 & 31 & 33.5993 & -2.5993 \tabularnewline
112 & 32 & 38.17 & -6.17001 \tabularnewline
113 & 32 & 31.3044 & 0.69563 \tabularnewline
114 & 37 & 34.2839 & 2.71613 \tabularnewline
115 & 37 & 34.3854 & 2.61463 \tabularnewline
116 & 33 & 36.4244 & -3.42443 \tabularnewline
117 & 34 & 37.2784 & -3.27838 \tabularnewline
118 & 33 & 34.6688 & -1.66883 \tabularnewline
119 & 38 & 35.471 & 2.52897 \tabularnewline
120 & 33 & 34.9174 & -1.91735 \tabularnewline
121 & 31 & 31.3458 & -0.34577 \tabularnewline
122 & 38 & 36.524 & 1.47597 \tabularnewline
123 & 37 & 36.6046 & 0.395405 \tabularnewline
124 & 36 & 33.2175 & 2.78246 \tabularnewline
125 & 31 & 33.9364 & -2.93643 \tabularnewline
126 & 39 & 34.1906 & 4.80945 \tabularnewline
127 & 44 & 36.9671 & 7.03289 \tabularnewline
128 & 33 & 36.2187 & -3.21873 \tabularnewline
129 & 35 & 33.514 & 1.48598 \tabularnewline
130 & 32 & 33.99 & -1.99003 \tabularnewline
131 & 28 & 32.0155 & -4.01553 \tabularnewline
132 & 40 & 36.0539 & 3.94612 \tabularnewline
133 & 27 & 32.0387 & -5.03874 \tabularnewline
134 & 37 & 36.1392 & 0.860798 \tabularnewline
135 & 32 & 32.5051 & -0.505106 \tabularnewline
136 & 28 & 27.9864 & 0.0136295 \tabularnewline
137 & 34 & 35.1058 & -1.1058 \tabularnewline
138 & 30 & 33.9754 & -3.97535 \tabularnewline
139 & 35 & 34.1899 & 0.810134 \tabularnewline
140 & 31 & 34.0824 & -3.08236 \tabularnewline
141 & 32 & 34.587 & -2.58704 \tabularnewline
142 & 30 & 35.8622 & -5.86215 \tabularnewline
143 & 30 & 35.2686 & -5.26861 \tabularnewline
144 & 31 & 29.7712 & 1.22879 \tabularnewline
145 & 40 & 32.9348 & 7.06524 \tabularnewline
146 & 32 & 31.98 & 0.0200486 \tabularnewline
147 & 36 & 34.8056 & 1.1944 \tabularnewline
148 & 32 & 33.2933 & -1.29333 \tabularnewline
149 & 35 & 32.9404 & 2.05961 \tabularnewline
150 & 38 & 36.3778 & 1.62217 \tabularnewline
151 & 42 & 35.2274 & 6.77265 \tabularnewline
152 & 34 & 36.2738 & -2.27377 \tabularnewline
153 & 35 & 36.844 & -1.844 \tabularnewline
154 & 38 & 33.8576 & 4.14244 \tabularnewline
155 & 33 & 32.6404 & 0.359616 \tabularnewline
156 & 36 & 33.2483 & 2.75167 \tabularnewline
157 & 32 & 35.5554 & -3.55537 \tabularnewline
158 & 33 & 36.2187 & -3.21873 \tabularnewline
159 & 34 & 33.9717 & 0.028306 \tabularnewline
160 & 32 & 35.3545 & -3.35452 \tabularnewline
161 & 34 & 35.3202 & -1.32019 \tabularnewline
162 & 27 & 30.1288 & -3.12884 \tabularnewline
163 & 31 & 30.2698 & 0.730168 \tabularnewline
164 & 38 & 33.8961 & 4.10387 \tabularnewline
165 & 34 & 35.9756 & -1.97563 \tabularnewline
166 & 24 & 31.0306 & -7.03065 \tabularnewline
167 & 30 & 33.9699 & -3.96987 \tabularnewline
168 & 26 & 29.5553 & -3.55532 \tabularnewline
169 & 34 & 35.5194 & -1.51939 \tabularnewline
170 & 27 & 34.7971 & -7.79713 \tabularnewline
171 & 37 & 32.1215 & 4.8785 \tabularnewline
172 & 36 & 35.9053 & 0.0946646 \tabularnewline
173 & 41 & 34.2498 & 6.75016 \tabularnewline
174 & 29 & 29.1056 & -0.105644 \tabularnewline
175 & 36 & 31.3514 & 4.64863 \tabularnewline
176 & 32 & 34.5628 & -2.56283 \tabularnewline
177 & 37 & 33.3772 & 3.62278 \tabularnewline
178 & 30 & 31.6744 & -1.67436 \tabularnewline
179 & 31 & 33.1406 & -2.14055 \tabularnewline
180 & 38 & 34.6842 & 3.3158 \tabularnewline
181 & 36 & 35.2119 & 0.788096 \tabularnewline
182 & 35 & 32.3541 & 2.64589 \tabularnewline
183 & 31 & 35.986 & -4.98598 \tabularnewline
184 & 38 & 33.6265 & 4.37351 \tabularnewline
185 & 22 & 31.1922 & -9.19222 \tabularnewline
186 & 32 & 34.6542 & -2.65425 \tabularnewline
187 & 36 & 34.3158 & 1.68425 \tabularnewline
188 & 39 & 32.8962 & 6.10376 \tabularnewline
189 & 28 & 30.5392 & -2.53918 \tabularnewline
190 & 32 & 34.3454 & -2.34544 \tabularnewline
191 & 32 & 32.7293 & -0.729294 \tabularnewline
192 & 38 & 37.0333 & 0.966719 \tabularnewline
193 & 32 & 33.6172 & -1.61715 \tabularnewline
194 & 35 & 35.825 & -0.824975 \tabularnewline
195 & 32 & 33.208 & -1.20801 \tabularnewline
196 & 37 & 36.1902 & 0.80983 \tabularnewline
197 & 34 & 32.9846 & 1.01536 \tabularnewline
198 & 33 & 35.8382 & -2.83823 \tabularnewline
199 & 33 & 33.0121 & -0.0121309 \tabularnewline
200 & 26 & 33.2123 & -7.21225 \tabularnewline
201 & 30 & 32.5463 & -2.54634 \tabularnewline
202 & 24 & 32.265 & -8.265 \tabularnewline
203 & 34 & 32.2606 & 1.73944 \tabularnewline
204 & 34 & 32.9478 & 1.05216 \tabularnewline
205 & 33 & 34.4845 & -1.48449 \tabularnewline
206 & 34 & 35.259 & -1.25899 \tabularnewline
207 & 35 & 36.4836 & -1.48358 \tabularnewline
208 & 35 & 34.9049 & 0.095135 \tabularnewline
209 & 36 & 33.4137 & 2.58629 \tabularnewline
210 & 34 & 34.0747 & -0.0747196 \tabularnewline
211 & 34 & 33.0386 & 0.961399 \tabularnewline
212 & 41 & 38.7935 & 2.20652 \tabularnewline
213 & 32 & 36.4432 & -4.44322 \tabularnewline
214 & 30 & 33.6623 & -3.66234 \tabularnewline
215 & 35 & 34.3584 & 0.641591 \tabularnewline
216 & 28 & 30.4754 & -2.47543 \tabularnewline
217 & 33 & 35.511 & -2.51097 \tabularnewline
218 & 39 & 34.6416 & 4.35837 \tabularnewline
219 & 36 & 33.5134 & 2.48664 \tabularnewline
220 & 36 & 36.8704 & -0.870426 \tabularnewline
221 & 35 & 33.5383 & 1.46166 \tabularnewline
222 & 38 & 34.4199 & 3.58014 \tabularnewline
223 & 33 & 33.0782 & -0.0781919 \tabularnewline
224 & 31 & 33.3941 & -2.39408 \tabularnewline
225 & 34 & 32.135 & 1.86502 \tabularnewline
226 & 32 & 34.4528 & -2.45282 \tabularnewline
227 & 31 & 33.4317 & -2.43165 \tabularnewline
228 & 33 & 33.5099 & -0.509871 \tabularnewline
229 & 34 & 32.7381 & 1.26186 \tabularnewline
230 & 34 & 34.3122 & -0.312151 \tabularnewline
231 & 34 & 32.5029 & 1.49709 \tabularnewline
232 & 33 & 35.3809 & -2.38091 \tabularnewline
233 & 32 & 34.8535 & -2.85353 \tabularnewline
234 & 41 & 34.2804 & 6.71963 \tabularnewline
235 & 34 & 33.5441 & 0.455868 \tabularnewline
236 & 36 & 32.3357 & 3.66426 \tabularnewline
237 & 37 & 31.4055 & 5.5945 \tabularnewline
238 & 36 & 31.0036 & 4.99635 \tabularnewline
239 & 29 & 33.015 & -4.015 \tabularnewline
240 & 37 & 31.9775 & 5.02253 \tabularnewline
241 & 27 & 33.3748 & -6.37481 \tabularnewline
242 & 35 & 33.7335 & 1.26653 \tabularnewline
243 & 28 & 30.7949 & -2.79491 \tabularnewline
244 & 35 & 33.4271 & 1.57294 \tabularnewline
245 & 37 & 33.6247 & 3.37527 \tabularnewline
246 & 29 & 33.8586 & -4.85858 \tabularnewline
247 & 32 & 34.7097 & -2.70972 \tabularnewline
248 & 36 & 32.127 & 3.87303 \tabularnewline
249 & 19 & 27.8639 & -8.8639 \tabularnewline
250 & 21 & 27.0748 & -6.07482 \tabularnewline
251 & 31 & 33.7422 & -2.7422 \tabularnewline
252 & 33 & 32.602 & 0.398012 \tabularnewline
253 & 36 & 34.2484 & 1.75157 \tabularnewline
254 & 33 & 33.826 & -0.825973 \tabularnewline
255 & 37 & 33.4937 & 3.50626 \tabularnewline
256 & 34 & 33.8098 & 0.190233 \tabularnewline
257 & 35 & 34.7549 & 0.245143 \tabularnewline
258 & 31 & 33.1368 & -2.13676 \tabularnewline
259 & 37 & 33.9152 & 3.08475 \tabularnewline
260 & 35 & 31.7575 & 3.24255 \tabularnewline
261 & 27 & 32.424 & -5.42398 \tabularnewline
262 & 34 & 35.4156 & -1.41557 \tabularnewline
263 & 40 & 33.9978 & 6.0022 \tabularnewline
264 & 29 & 33.3373 & -4.33731 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=228964&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]41[/C][C]35.4963[/C][C]5.50367[/C][/ROW]
[ROW][C]2[/C][C]39[/C][C]34.1026[/C][C]4.89742[/C][/ROW]
[ROW][C]3[/C][C]30[/C][C]35.2381[/C][C]-5.23811[/C][/ROW]
[ROW][C]4[/C][C]31[/C][C]34.0373[/C][C]-3.03735[/C][/ROW]
[ROW][C]5[/C][C]34[/C][C]35.02[/C][C]-1.02002[/C][/ROW]
[ROW][C]6[/C][C]35[/C][C]32.1266[/C][C]2.87341[/C][/ROW]
[ROW][C]7[/C][C]39[/C][C]33.4798[/C][C]5.52021[/C][/ROW]
[ROW][C]8[/C][C]34[/C][C]35.3658[/C][C]-1.3658[/C][/ROW]
[ROW][C]9[/C][C]36[/C][C]34.8203[/C][C]1.17971[/C][/ROW]
[ROW][C]10[/C][C]37[/C][C]36.334[/C][C]0.66597[/C][/ROW]
[ROW][C]11[/C][C]38[/C][C]33.7381[/C][C]4.26187[/C][/ROW]
[ROW][C]12[/C][C]36[/C][C]34.7056[/C][C]1.2944[/C][/ROW]
[ROW][C]13[/C][C]38[/C][C]34.7264[/C][C]3.27357[/C][/ROW]
[ROW][C]14[/C][C]39[/C][C]36.0039[/C][C]2.99608[/C][/ROW]
[ROW][C]15[/C][C]33[/C][C]36.3236[/C][C]-3.32359[/C][/ROW]
[ROW][C]16[/C][C]32[/C][C]33.7181[/C][C]-1.71808[/C][/ROW]
[ROW][C]17[/C][C]36[/C][C]33.3968[/C][C]2.60324[/C][/ROW]
[ROW][C]18[/C][C]38[/C][C]37.2889[/C][C]0.711127[/C][/ROW]
[ROW][C]19[/C][C]39[/C][C]36.8804[/C][C]2.11962[/C][/ROW]
[ROW][C]20[/C][C]32[/C][C]33.6403[/C][C]-1.64026[/C][/ROW]
[ROW][C]21[/C][C]32[/C][C]34.4444[/C][C]-2.44442[/C][/ROW]
[ROW][C]22[/C][C]31[/C][C]33.3031[/C][C]-2.30315[/C][/ROW]
[ROW][C]23[/C][C]39[/C][C]36.432[/C][C]2.56798[/C][/ROW]
[ROW][C]24[/C][C]37[/C][C]36.7152[/C][C]0.28478[/C][/ROW]
[ROW][C]25[/C][C]39[/C][C]34.1048[/C][C]4.89519[/C][/ROW]
[ROW][C]26[/C][C]41[/C][C]33.6314[/C][C]7.36865[/C][/ROW]
[ROW][C]27[/C][C]36[/C][C]34.7399[/C][C]1.26008[/C][/ROW]
[ROW][C]28[/C][C]33[/C][C]35.6494[/C][C]-2.64939[/C][/ROW]
[ROW][C]29[/C][C]33[/C][C]33.7249[/C][C]-0.72494[/C][/ROW]
[ROW][C]30[/C][C]34[/C][C]34.0721[/C][C]-0.0721079[/C][/ROW]
[ROW][C]31[/C][C]31[/C][C]33.4672[/C][C]-2.46721[/C][/ROW]
[ROW][C]32[/C][C]27[/C][C]32.7485[/C][C]-5.74852[/C][/ROW]
[ROW][C]33[/C][C]37[/C][C]33.1687[/C][C]3.83128[/C][/ROW]
[ROW][C]34[/C][C]34[/C][C]36.4743[/C][C]-2.47426[/C][/ROW]
[ROW][C]35[/C][C]34[/C][C]32.0169[/C][C]1.98315[/C][/ROW]
[ROW][C]36[/C][C]32[/C][C]33.7663[/C][C]-1.76626[/C][/ROW]
[ROW][C]37[/C][C]29[/C][C]31.4482[/C][C]-2.44822[/C][/ROW]
[ROW][C]38[/C][C]36[/C][C]33.77[/C][C]2.23004[/C][/ROW]
[ROW][C]39[/C][C]29[/C][C]33.5311[/C][C]-4.53113[/C][/ROW]
[ROW][C]40[/C][C]35[/C][C]34.1956[/C][C]0.804376[/C][/ROW]
[ROW][C]41[/C][C]37[/C][C]33.9561[/C][C]3.04391[/C][/ROW]
[ROW][C]42[/C][C]34[/C][C]33.5362[/C][C]0.463812[/C][/ROW]
[ROW][C]43[/C][C]38[/C][C]34.2273[/C][C]3.77266[/C][/ROW]
[ROW][C]44[/C][C]35[/C][C]33.2962[/C][C]1.70382[/C][/ROW]
[ROW][C]45[/C][C]38[/C][C]31.7437[/C][C]6.2563[/C][/ROW]
[ROW][C]46[/C][C]37[/C][C]33.7737[/C][C]3.22627[/C][/ROW]
[ROW][C]47[/C][C]38[/C][C]36.9454[/C][C]1.05464[/C][/ROW]
[ROW][C]48[/C][C]33[/C][C]34.5833[/C][C]-1.58328[/C][/ROW]
[ROW][C]49[/C][C]36[/C][C]35.8002[/C][C]0.199762[/C][/ROW]
[ROW][C]50[/C][C]38[/C][C]33.3188[/C][C]4.68123[/C][/ROW]
[ROW][C]51[/C][C]32[/C][C]36.3858[/C][C]-4.38583[/C][/ROW]
[ROW][C]52[/C][C]32[/C][C]32.2547[/C][C]-0.254658[/C][/ROW]
[ROW][C]53[/C][C]32[/C][C]32.6973[/C][C]-0.697335[/C][/ROW]
[ROW][C]54[/C][C]34[/C][C]37.0499[/C][C]-3.04989[/C][/ROW]
[ROW][C]55[/C][C]32[/C][C]32.3806[/C][C]-0.380555[/C][/ROW]
[ROW][C]56[/C][C]37[/C][C]34.9043[/C][C]2.0957[/C][/ROW]
[ROW][C]57[/C][C]39[/C][C]34.5441[/C][C]4.45585[/C][/ROW]
[ROW][C]58[/C][C]29[/C][C]34.8329[/C][C]-5.83285[/C][/ROW]
[ROW][C]59[/C][C]37[/C][C]35.1215[/C][C]1.87848[/C][/ROW]
[ROW][C]60[/C][C]35[/C][C]34.361[/C][C]0.639049[/C][/ROW]
[ROW][C]61[/C][C]30[/C][C]30.507[/C][C]-0.507023[/C][/ROW]
[ROW][C]62[/C][C]38[/C][C]34.279[/C][C]3.72101[/C][/ROW]
[ROW][C]63[/C][C]34[/C][C]34.775[/C][C]-0.774974[/C][/ROW]
[ROW][C]64[/C][C]31[/C][C]34.1963[/C][C]-3.19633[/C][/ROW]
[ROW][C]65[/C][C]34[/C][C]32.9651[/C][C]1.03486[/C][/ROW]
[ROW][C]66[/C][C]35[/C][C]35.9926[/C][C]-0.992579[/C][/ROW]
[ROW][C]67[/C][C]36[/C][C]34.9434[/C][C]1.05656[/C][/ROW]
[ROW][C]68[/C][C]30[/C][C]31.2772[/C][C]-1.27718[/C][/ROW]
[ROW][C]69[/C][C]39[/C][C]36.3093[/C][C]2.69066[/C][/ROW]
[ROW][C]70[/C][C]35[/C][C]35.6842[/C][C]-0.684238[/C][/ROW]
[ROW][C]71[/C][C]38[/C][C]34.9467[/C][C]3.05325[/C][/ROW]
[ROW][C]72[/C][C]31[/C][C]35.6429[/C][C]-4.64291[/C][/ROW]
[ROW][C]73[/C][C]34[/C][C]36.8155[/C][C]-2.8155[/C][/ROW]
[ROW][C]74[/C][C]38[/C][C]37.5997[/C][C]0.400328[/C][/ROW]
[ROW][C]75[/C][C]34[/C][C]31.5114[/C][C]2.48855[/C][/ROW]
[ROW][C]76[/C][C]39[/C][C]32.7003[/C][C]6.29968[/C][/ROW]
[ROW][C]77[/C][C]37[/C][C]35.8486[/C][C]1.15141[/C][/ROW]
[ROW][C]78[/C][C]34[/C][C]33.1575[/C][C]0.842481[/C][/ROW]
[ROW][C]79[/C][C]28[/C][C]32.825[/C][C]-4.82501[/C][/ROW]
[ROW][C]80[/C][C]37[/C][C]31.4044[/C][C]5.59561[/C][/ROW]
[ROW][C]81[/C][C]33[/C][C]35.2716[/C][C]-2.27156[/C][/ROW]
[ROW][C]82[/C][C]35[/C][C]36.2644[/C][C]-1.26445[/C][/ROW]
[ROW][C]83[/C][C]37[/C][C]33.8106[/C][C]3.18942[/C][/ROW]
[ROW][C]84[/C][C]32[/C][C]34.4579[/C][C]-2.45794[/C][/ROW]
[ROW][C]85[/C][C]33[/C][C]33.3129[/C][C]-0.312866[/C][/ROW]
[ROW][C]86[/C][C]38[/C][C]36.4053[/C][C]1.59473[/C][/ROW]
[ROW][C]87[/C][C]33[/C][C]34.4714[/C][C]-1.47141[/C][/ROW]
[ROW][C]88[/C][C]29[/C][C]33.2061[/C][C]-4.20608[/C][/ROW]
[ROW][C]89[/C][C]33[/C][C]33.1069[/C][C]-0.10694[/C][/ROW]
[ROW][C]90[/C][C]31[/C][C]35.1656[/C][C]-4.16559[/C][/ROW]
[ROW][C]91[/C][C]36[/C][C]33.2483[/C][C]2.75167[/C][/ROW]
[ROW][C]92[/C][C]35[/C][C]37.4591[/C][C]-2.45912[/C][/ROW]
[ROW][C]93[/C][C]32[/C][C]31.4507[/C][C]0.549266[/C][/ROW]
[ROW][C]94[/C][C]29[/C][C]32.133[/C][C]-3.13303[/C][/ROW]
[ROW][C]95[/C][C]39[/C][C]35.4484[/C][C]3.55164[/C][/ROW]
[ROW][C]96[/C][C]37[/C][C]34.6978[/C][C]2.30215[/C][/ROW]
[ROW][C]97[/C][C]35[/C][C]33.2546[/C][C]1.74538[/C][/ROW]
[ROW][C]98[/C][C]37[/C][C]34.616[/C][C]2.38401[/C][/ROW]
[ROW][C]99[/C][C]32[/C][C]35.3211[/C][C]-3.32113[/C][/ROW]
[ROW][C]100[/C][C]38[/C][C]35.4073[/C][C]2.59266[/C][/ROW]
[ROW][C]101[/C][C]37[/C][C]34.7625[/C][C]2.23751[/C][/ROW]
[ROW][C]102[/C][C]36[/C][C]36.5872[/C][C]-0.587209[/C][/ROW]
[ROW][C]103[/C][C]32[/C][C]31.9337[/C][C]0.066313[/C][/ROW]
[ROW][C]104[/C][C]33[/C][C]36.4463[/C][C]-3.44627[/C][/ROW]
[ROW][C]105[/C][C]40[/C][C]32.4872[/C][C]7.51282[/C][/ROW]
[ROW][C]106[/C][C]38[/C][C]35.3852[/C][C]2.61476[/C][/ROW]
[ROW][C]107[/C][C]41[/C][C]36.4252[/C][C]4.5748[/C][/ROW]
[ROW][C]108[/C][C]36[/C][C]34.4325[/C][C]1.5675[/C][/ROW]
[ROW][C]109[/C][C]43[/C][C]36.618[/C][C]6.38199[/C][/ROW]
[ROW][C]110[/C][C]30[/C][C]34.6404[/C][C]-4.64039[/C][/ROW]
[ROW][C]111[/C][C]31[/C][C]33.5993[/C][C]-2.5993[/C][/ROW]
[ROW][C]112[/C][C]32[/C][C]38.17[/C][C]-6.17001[/C][/ROW]
[ROW][C]113[/C][C]32[/C][C]31.3044[/C][C]0.69563[/C][/ROW]
[ROW][C]114[/C][C]37[/C][C]34.2839[/C][C]2.71613[/C][/ROW]
[ROW][C]115[/C][C]37[/C][C]34.3854[/C][C]2.61463[/C][/ROW]
[ROW][C]116[/C][C]33[/C][C]36.4244[/C][C]-3.42443[/C][/ROW]
[ROW][C]117[/C][C]34[/C][C]37.2784[/C][C]-3.27838[/C][/ROW]
[ROW][C]118[/C][C]33[/C][C]34.6688[/C][C]-1.66883[/C][/ROW]
[ROW][C]119[/C][C]38[/C][C]35.471[/C][C]2.52897[/C][/ROW]
[ROW][C]120[/C][C]33[/C][C]34.9174[/C][C]-1.91735[/C][/ROW]
[ROW][C]121[/C][C]31[/C][C]31.3458[/C][C]-0.34577[/C][/ROW]
[ROW][C]122[/C][C]38[/C][C]36.524[/C][C]1.47597[/C][/ROW]
[ROW][C]123[/C][C]37[/C][C]36.6046[/C][C]0.395405[/C][/ROW]
[ROW][C]124[/C][C]36[/C][C]33.2175[/C][C]2.78246[/C][/ROW]
[ROW][C]125[/C][C]31[/C][C]33.9364[/C][C]-2.93643[/C][/ROW]
[ROW][C]126[/C][C]39[/C][C]34.1906[/C][C]4.80945[/C][/ROW]
[ROW][C]127[/C][C]44[/C][C]36.9671[/C][C]7.03289[/C][/ROW]
[ROW][C]128[/C][C]33[/C][C]36.2187[/C][C]-3.21873[/C][/ROW]
[ROW][C]129[/C][C]35[/C][C]33.514[/C][C]1.48598[/C][/ROW]
[ROW][C]130[/C][C]32[/C][C]33.99[/C][C]-1.99003[/C][/ROW]
[ROW][C]131[/C][C]28[/C][C]32.0155[/C][C]-4.01553[/C][/ROW]
[ROW][C]132[/C][C]40[/C][C]36.0539[/C][C]3.94612[/C][/ROW]
[ROW][C]133[/C][C]27[/C][C]32.0387[/C][C]-5.03874[/C][/ROW]
[ROW][C]134[/C][C]37[/C][C]36.1392[/C][C]0.860798[/C][/ROW]
[ROW][C]135[/C][C]32[/C][C]32.5051[/C][C]-0.505106[/C][/ROW]
[ROW][C]136[/C][C]28[/C][C]27.9864[/C][C]0.0136295[/C][/ROW]
[ROW][C]137[/C][C]34[/C][C]35.1058[/C][C]-1.1058[/C][/ROW]
[ROW][C]138[/C][C]30[/C][C]33.9754[/C][C]-3.97535[/C][/ROW]
[ROW][C]139[/C][C]35[/C][C]34.1899[/C][C]0.810134[/C][/ROW]
[ROW][C]140[/C][C]31[/C][C]34.0824[/C][C]-3.08236[/C][/ROW]
[ROW][C]141[/C][C]32[/C][C]34.587[/C][C]-2.58704[/C][/ROW]
[ROW][C]142[/C][C]30[/C][C]35.8622[/C][C]-5.86215[/C][/ROW]
[ROW][C]143[/C][C]30[/C][C]35.2686[/C][C]-5.26861[/C][/ROW]
[ROW][C]144[/C][C]31[/C][C]29.7712[/C][C]1.22879[/C][/ROW]
[ROW][C]145[/C][C]40[/C][C]32.9348[/C][C]7.06524[/C][/ROW]
[ROW][C]146[/C][C]32[/C][C]31.98[/C][C]0.0200486[/C][/ROW]
[ROW][C]147[/C][C]36[/C][C]34.8056[/C][C]1.1944[/C][/ROW]
[ROW][C]148[/C][C]32[/C][C]33.2933[/C][C]-1.29333[/C][/ROW]
[ROW][C]149[/C][C]35[/C][C]32.9404[/C][C]2.05961[/C][/ROW]
[ROW][C]150[/C][C]38[/C][C]36.3778[/C][C]1.62217[/C][/ROW]
[ROW][C]151[/C][C]42[/C][C]35.2274[/C][C]6.77265[/C][/ROW]
[ROW][C]152[/C][C]34[/C][C]36.2738[/C][C]-2.27377[/C][/ROW]
[ROW][C]153[/C][C]35[/C][C]36.844[/C][C]-1.844[/C][/ROW]
[ROW][C]154[/C][C]38[/C][C]33.8576[/C][C]4.14244[/C][/ROW]
[ROW][C]155[/C][C]33[/C][C]32.6404[/C][C]0.359616[/C][/ROW]
[ROW][C]156[/C][C]36[/C][C]33.2483[/C][C]2.75167[/C][/ROW]
[ROW][C]157[/C][C]32[/C][C]35.5554[/C][C]-3.55537[/C][/ROW]
[ROW][C]158[/C][C]33[/C][C]36.2187[/C][C]-3.21873[/C][/ROW]
[ROW][C]159[/C][C]34[/C][C]33.9717[/C][C]0.028306[/C][/ROW]
[ROW][C]160[/C][C]32[/C][C]35.3545[/C][C]-3.35452[/C][/ROW]
[ROW][C]161[/C][C]34[/C][C]35.3202[/C][C]-1.32019[/C][/ROW]
[ROW][C]162[/C][C]27[/C][C]30.1288[/C][C]-3.12884[/C][/ROW]
[ROW][C]163[/C][C]31[/C][C]30.2698[/C][C]0.730168[/C][/ROW]
[ROW][C]164[/C][C]38[/C][C]33.8961[/C][C]4.10387[/C][/ROW]
[ROW][C]165[/C][C]34[/C][C]35.9756[/C][C]-1.97563[/C][/ROW]
[ROW][C]166[/C][C]24[/C][C]31.0306[/C][C]-7.03065[/C][/ROW]
[ROW][C]167[/C][C]30[/C][C]33.9699[/C][C]-3.96987[/C][/ROW]
[ROW][C]168[/C][C]26[/C][C]29.5553[/C][C]-3.55532[/C][/ROW]
[ROW][C]169[/C][C]34[/C][C]35.5194[/C][C]-1.51939[/C][/ROW]
[ROW][C]170[/C][C]27[/C][C]34.7971[/C][C]-7.79713[/C][/ROW]
[ROW][C]171[/C][C]37[/C][C]32.1215[/C][C]4.8785[/C][/ROW]
[ROW][C]172[/C][C]36[/C][C]35.9053[/C][C]0.0946646[/C][/ROW]
[ROW][C]173[/C][C]41[/C][C]34.2498[/C][C]6.75016[/C][/ROW]
[ROW][C]174[/C][C]29[/C][C]29.1056[/C][C]-0.105644[/C][/ROW]
[ROW][C]175[/C][C]36[/C][C]31.3514[/C][C]4.64863[/C][/ROW]
[ROW][C]176[/C][C]32[/C][C]34.5628[/C][C]-2.56283[/C][/ROW]
[ROW][C]177[/C][C]37[/C][C]33.3772[/C][C]3.62278[/C][/ROW]
[ROW][C]178[/C][C]30[/C][C]31.6744[/C][C]-1.67436[/C][/ROW]
[ROW][C]179[/C][C]31[/C][C]33.1406[/C][C]-2.14055[/C][/ROW]
[ROW][C]180[/C][C]38[/C][C]34.6842[/C][C]3.3158[/C][/ROW]
[ROW][C]181[/C][C]36[/C][C]35.2119[/C][C]0.788096[/C][/ROW]
[ROW][C]182[/C][C]35[/C][C]32.3541[/C][C]2.64589[/C][/ROW]
[ROW][C]183[/C][C]31[/C][C]35.986[/C][C]-4.98598[/C][/ROW]
[ROW][C]184[/C][C]38[/C][C]33.6265[/C][C]4.37351[/C][/ROW]
[ROW][C]185[/C][C]22[/C][C]31.1922[/C][C]-9.19222[/C][/ROW]
[ROW][C]186[/C][C]32[/C][C]34.6542[/C][C]-2.65425[/C][/ROW]
[ROW][C]187[/C][C]36[/C][C]34.3158[/C][C]1.68425[/C][/ROW]
[ROW][C]188[/C][C]39[/C][C]32.8962[/C][C]6.10376[/C][/ROW]
[ROW][C]189[/C][C]28[/C][C]30.5392[/C][C]-2.53918[/C][/ROW]
[ROW][C]190[/C][C]32[/C][C]34.3454[/C][C]-2.34544[/C][/ROW]
[ROW][C]191[/C][C]32[/C][C]32.7293[/C][C]-0.729294[/C][/ROW]
[ROW][C]192[/C][C]38[/C][C]37.0333[/C][C]0.966719[/C][/ROW]
[ROW][C]193[/C][C]32[/C][C]33.6172[/C][C]-1.61715[/C][/ROW]
[ROW][C]194[/C][C]35[/C][C]35.825[/C][C]-0.824975[/C][/ROW]
[ROW][C]195[/C][C]32[/C][C]33.208[/C][C]-1.20801[/C][/ROW]
[ROW][C]196[/C][C]37[/C][C]36.1902[/C][C]0.80983[/C][/ROW]
[ROW][C]197[/C][C]34[/C][C]32.9846[/C][C]1.01536[/C][/ROW]
[ROW][C]198[/C][C]33[/C][C]35.8382[/C][C]-2.83823[/C][/ROW]
[ROW][C]199[/C][C]33[/C][C]33.0121[/C][C]-0.0121309[/C][/ROW]
[ROW][C]200[/C][C]26[/C][C]33.2123[/C][C]-7.21225[/C][/ROW]
[ROW][C]201[/C][C]30[/C][C]32.5463[/C][C]-2.54634[/C][/ROW]
[ROW][C]202[/C][C]24[/C][C]32.265[/C][C]-8.265[/C][/ROW]
[ROW][C]203[/C][C]34[/C][C]32.2606[/C][C]1.73944[/C][/ROW]
[ROW][C]204[/C][C]34[/C][C]32.9478[/C][C]1.05216[/C][/ROW]
[ROW][C]205[/C][C]33[/C][C]34.4845[/C][C]-1.48449[/C][/ROW]
[ROW][C]206[/C][C]34[/C][C]35.259[/C][C]-1.25899[/C][/ROW]
[ROW][C]207[/C][C]35[/C][C]36.4836[/C][C]-1.48358[/C][/ROW]
[ROW][C]208[/C][C]35[/C][C]34.9049[/C][C]0.095135[/C][/ROW]
[ROW][C]209[/C][C]36[/C][C]33.4137[/C][C]2.58629[/C][/ROW]
[ROW][C]210[/C][C]34[/C][C]34.0747[/C][C]-0.0747196[/C][/ROW]
[ROW][C]211[/C][C]34[/C][C]33.0386[/C][C]0.961399[/C][/ROW]
[ROW][C]212[/C][C]41[/C][C]38.7935[/C][C]2.20652[/C][/ROW]
[ROW][C]213[/C][C]32[/C][C]36.4432[/C][C]-4.44322[/C][/ROW]
[ROW][C]214[/C][C]30[/C][C]33.6623[/C][C]-3.66234[/C][/ROW]
[ROW][C]215[/C][C]35[/C][C]34.3584[/C][C]0.641591[/C][/ROW]
[ROW][C]216[/C][C]28[/C][C]30.4754[/C][C]-2.47543[/C][/ROW]
[ROW][C]217[/C][C]33[/C][C]35.511[/C][C]-2.51097[/C][/ROW]
[ROW][C]218[/C][C]39[/C][C]34.6416[/C][C]4.35837[/C][/ROW]
[ROW][C]219[/C][C]36[/C][C]33.5134[/C][C]2.48664[/C][/ROW]
[ROW][C]220[/C][C]36[/C][C]36.8704[/C][C]-0.870426[/C][/ROW]
[ROW][C]221[/C][C]35[/C][C]33.5383[/C][C]1.46166[/C][/ROW]
[ROW][C]222[/C][C]38[/C][C]34.4199[/C][C]3.58014[/C][/ROW]
[ROW][C]223[/C][C]33[/C][C]33.0782[/C][C]-0.0781919[/C][/ROW]
[ROW][C]224[/C][C]31[/C][C]33.3941[/C][C]-2.39408[/C][/ROW]
[ROW][C]225[/C][C]34[/C][C]32.135[/C][C]1.86502[/C][/ROW]
[ROW][C]226[/C][C]32[/C][C]34.4528[/C][C]-2.45282[/C][/ROW]
[ROW][C]227[/C][C]31[/C][C]33.4317[/C][C]-2.43165[/C][/ROW]
[ROW][C]228[/C][C]33[/C][C]33.5099[/C][C]-0.509871[/C][/ROW]
[ROW][C]229[/C][C]34[/C][C]32.7381[/C][C]1.26186[/C][/ROW]
[ROW][C]230[/C][C]34[/C][C]34.3122[/C][C]-0.312151[/C][/ROW]
[ROW][C]231[/C][C]34[/C][C]32.5029[/C][C]1.49709[/C][/ROW]
[ROW][C]232[/C][C]33[/C][C]35.3809[/C][C]-2.38091[/C][/ROW]
[ROW][C]233[/C][C]32[/C][C]34.8535[/C][C]-2.85353[/C][/ROW]
[ROW][C]234[/C][C]41[/C][C]34.2804[/C][C]6.71963[/C][/ROW]
[ROW][C]235[/C][C]34[/C][C]33.5441[/C][C]0.455868[/C][/ROW]
[ROW][C]236[/C][C]36[/C][C]32.3357[/C][C]3.66426[/C][/ROW]
[ROW][C]237[/C][C]37[/C][C]31.4055[/C][C]5.5945[/C][/ROW]
[ROW][C]238[/C][C]36[/C][C]31.0036[/C][C]4.99635[/C][/ROW]
[ROW][C]239[/C][C]29[/C][C]33.015[/C][C]-4.015[/C][/ROW]
[ROW][C]240[/C][C]37[/C][C]31.9775[/C][C]5.02253[/C][/ROW]
[ROW][C]241[/C][C]27[/C][C]33.3748[/C][C]-6.37481[/C][/ROW]
[ROW][C]242[/C][C]35[/C][C]33.7335[/C][C]1.26653[/C][/ROW]
[ROW][C]243[/C][C]28[/C][C]30.7949[/C][C]-2.79491[/C][/ROW]
[ROW][C]244[/C][C]35[/C][C]33.4271[/C][C]1.57294[/C][/ROW]
[ROW][C]245[/C][C]37[/C][C]33.6247[/C][C]3.37527[/C][/ROW]
[ROW][C]246[/C][C]29[/C][C]33.8586[/C][C]-4.85858[/C][/ROW]
[ROW][C]247[/C][C]32[/C][C]34.7097[/C][C]-2.70972[/C][/ROW]
[ROW][C]248[/C][C]36[/C][C]32.127[/C][C]3.87303[/C][/ROW]
[ROW][C]249[/C][C]19[/C][C]27.8639[/C][C]-8.8639[/C][/ROW]
[ROW][C]250[/C][C]21[/C][C]27.0748[/C][C]-6.07482[/C][/ROW]
[ROW][C]251[/C][C]31[/C][C]33.7422[/C][C]-2.7422[/C][/ROW]
[ROW][C]252[/C][C]33[/C][C]32.602[/C][C]0.398012[/C][/ROW]
[ROW][C]253[/C][C]36[/C][C]34.2484[/C][C]1.75157[/C][/ROW]
[ROW][C]254[/C][C]33[/C][C]33.826[/C][C]-0.825973[/C][/ROW]
[ROW][C]255[/C][C]37[/C][C]33.4937[/C][C]3.50626[/C][/ROW]
[ROW][C]256[/C][C]34[/C][C]33.8098[/C][C]0.190233[/C][/ROW]
[ROW][C]257[/C][C]35[/C][C]34.7549[/C][C]0.245143[/C][/ROW]
[ROW][C]258[/C][C]31[/C][C]33.1368[/C][C]-2.13676[/C][/ROW]
[ROW][C]259[/C][C]37[/C][C]33.9152[/C][C]3.08475[/C][/ROW]
[ROW][C]260[/C][C]35[/C][C]31.7575[/C][C]3.24255[/C][/ROW]
[ROW][C]261[/C][C]27[/C][C]32.424[/C][C]-5.42398[/C][/ROW]
[ROW][C]262[/C][C]34[/C][C]35.4156[/C][C]-1.41557[/C][/ROW]
[ROW][C]263[/C][C]40[/C][C]33.9978[/C][C]6.0022[/C][/ROW]
[ROW][C]264[/C][C]29[/C][C]33.3373[/C][C]-4.33731[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=228964&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=228964&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
14135.49635.50367
23934.10264.89742
33035.2381-5.23811
43134.0373-3.03735
53435.02-1.02002
63532.12662.87341
73933.47985.52021
83435.3658-1.3658
93634.82031.17971
103736.3340.66597
113833.73814.26187
123634.70561.2944
133834.72643.27357
143936.00392.99608
153336.3236-3.32359
163233.7181-1.71808
173633.39682.60324
183837.28890.711127
193936.88042.11962
203233.6403-1.64026
213234.4444-2.44442
223133.3031-2.30315
233936.4322.56798
243736.71520.28478
253934.10484.89519
264133.63147.36865
273634.73991.26008
283335.6494-2.64939
293333.7249-0.72494
303434.0721-0.0721079
313133.4672-2.46721
322732.7485-5.74852
333733.16873.83128
343436.4743-2.47426
353432.01691.98315
363233.7663-1.76626
372931.4482-2.44822
383633.772.23004
392933.5311-4.53113
403534.19560.804376
413733.95613.04391
423433.53620.463812
433834.22733.77266
443533.29621.70382
453831.74376.2563
463733.77373.22627
473836.94541.05464
483334.5833-1.58328
493635.80020.199762
503833.31884.68123
513236.3858-4.38583
523232.2547-0.254658
533232.6973-0.697335
543437.0499-3.04989
553232.3806-0.380555
563734.90432.0957
573934.54414.45585
582934.8329-5.83285
593735.12151.87848
603534.3610.639049
613030.507-0.507023
623834.2793.72101
633434.775-0.774974
643134.1963-3.19633
653432.96511.03486
663535.9926-0.992579
673634.94341.05656
683031.2772-1.27718
693936.30932.69066
703535.6842-0.684238
713834.94673.05325
723135.6429-4.64291
733436.8155-2.8155
743837.59970.400328
753431.51142.48855
763932.70036.29968
773735.84861.15141
783433.15750.842481
792832.825-4.82501
803731.40445.59561
813335.2716-2.27156
823536.2644-1.26445
833733.81063.18942
843234.4579-2.45794
853333.3129-0.312866
863836.40531.59473
873334.4714-1.47141
882933.2061-4.20608
893333.1069-0.10694
903135.1656-4.16559
913633.24832.75167
923537.4591-2.45912
933231.45070.549266
942932.133-3.13303
953935.44843.55164
963734.69782.30215
973533.25461.74538
983734.6162.38401
993235.3211-3.32113
1003835.40732.59266
1013734.76252.23751
1023636.5872-0.587209
1033231.93370.066313
1043336.4463-3.44627
1054032.48727.51282
1063835.38522.61476
1074136.42524.5748
1083634.43251.5675
1094336.6186.38199
1103034.6404-4.64039
1113133.5993-2.5993
1123238.17-6.17001
1133231.30440.69563
1143734.28392.71613
1153734.38542.61463
1163336.4244-3.42443
1173437.2784-3.27838
1183334.6688-1.66883
1193835.4712.52897
1203334.9174-1.91735
1213131.3458-0.34577
1223836.5241.47597
1233736.60460.395405
1243633.21752.78246
1253133.9364-2.93643
1263934.19064.80945
1274436.96717.03289
1283336.2187-3.21873
1293533.5141.48598
1303233.99-1.99003
1312832.0155-4.01553
1324036.05393.94612
1332732.0387-5.03874
1343736.13920.860798
1353232.5051-0.505106
1362827.98640.0136295
1373435.1058-1.1058
1383033.9754-3.97535
1393534.18990.810134
1403134.0824-3.08236
1413234.587-2.58704
1423035.8622-5.86215
1433035.2686-5.26861
1443129.77121.22879
1454032.93487.06524
1463231.980.0200486
1473634.80561.1944
1483233.2933-1.29333
1493532.94042.05961
1503836.37781.62217
1514235.22746.77265
1523436.2738-2.27377
1533536.844-1.844
1543833.85764.14244
1553332.64040.359616
1563633.24832.75167
1573235.5554-3.55537
1583336.2187-3.21873
1593433.97170.028306
1603235.3545-3.35452
1613435.3202-1.32019
1622730.1288-3.12884
1633130.26980.730168
1643833.89614.10387
1653435.9756-1.97563
1662431.0306-7.03065
1673033.9699-3.96987
1682629.5553-3.55532
1693435.5194-1.51939
1702734.7971-7.79713
1713732.12154.8785
1723635.90530.0946646
1734134.24986.75016
1742929.1056-0.105644
1753631.35144.64863
1763234.5628-2.56283
1773733.37723.62278
1783031.6744-1.67436
1793133.1406-2.14055
1803834.68423.3158
1813635.21190.788096
1823532.35412.64589
1833135.986-4.98598
1843833.62654.37351
1852231.1922-9.19222
1863234.6542-2.65425
1873634.31581.68425
1883932.89626.10376
1892830.5392-2.53918
1903234.3454-2.34544
1913232.7293-0.729294
1923837.03330.966719
1933233.6172-1.61715
1943535.825-0.824975
1953233.208-1.20801
1963736.19020.80983
1973432.98461.01536
1983335.8382-2.83823
1993333.0121-0.0121309
2002633.2123-7.21225
2013032.5463-2.54634
2022432.265-8.265
2033432.26061.73944
2043432.94781.05216
2053334.4845-1.48449
2063435.259-1.25899
2073536.4836-1.48358
2083534.90490.095135
2093633.41372.58629
2103434.0747-0.0747196
2113433.03860.961399
2124138.79352.20652
2133236.4432-4.44322
2143033.6623-3.66234
2153534.35840.641591
2162830.4754-2.47543
2173335.511-2.51097
2183934.64164.35837
2193633.51342.48664
2203636.8704-0.870426
2213533.53831.46166
2223834.41993.58014
2233333.0782-0.0781919
2243133.3941-2.39408
2253432.1351.86502
2263234.4528-2.45282
2273133.4317-2.43165
2283333.5099-0.509871
2293432.73811.26186
2303434.3122-0.312151
2313432.50291.49709
2323335.3809-2.38091
2333234.8535-2.85353
2344134.28046.71963
2353433.54410.455868
2363632.33573.66426
2373731.40555.5945
2383631.00364.99635
2392933.015-4.015
2403731.97755.02253
2412733.3748-6.37481
2423533.73351.26653
2432830.7949-2.79491
2443533.42711.57294
2453733.62473.37527
2462933.8586-4.85858
2473234.7097-2.70972
2483632.1273.87303
2491927.8639-8.8639
2502127.0748-6.07482
2513133.7422-2.7422
2523332.6020.398012
2533634.24841.75157
2543333.826-0.825973
2553733.49373.50626
2563433.80980.190233
2573534.75490.245143
2583133.1368-2.13676
2593733.91523.08475
2603531.75753.24255
2612732.424-5.42398
2623435.4156-1.41557
2634033.99786.0022
2642933.3373-4.33731






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.04628220.09256440.953718
120.3880480.7760970.611952
130.5616380.8767250.438362
140.5581950.8836090.441805
150.4581860.9163710.541814
160.4935520.9871040.506448
170.5618930.8762150.438107
180.5629880.8740250.437012
190.4749330.9498670.525067
200.506450.98710.49355
210.5690610.8618770.430939
220.5384610.9230790.461539
230.5267560.9464880.473244
240.4603310.9206620.539669
250.5145330.9709350.485467
260.6892370.6215260.310763
270.6616750.6766490.338325
280.6154950.7690090.384505
290.6060150.7879710.393985
300.5433240.9133520.456676
310.5338980.9322040.466102
320.6798670.6402660.320133
330.6691510.6616980.330849
340.6280120.7439770.371988
350.5741830.8516340.425817
360.5195780.9608440.480422
370.4762090.9524180.523791
380.4419410.8838820.558059
390.5578680.8842640.442132
400.5046990.9906020.495301
410.4713540.9427080.528646
420.4189750.8379490.581025
430.3806680.7613360.619332
440.3365350.673070.663465
450.4084750.816950.591525
460.4182310.8364630.581769
470.3895080.7790160.610492
480.3596680.7193350.640332
490.3158570.6317140.684143
500.3282310.6564620.671769
510.3724370.7448740.627563
520.3375070.6750130.662493
530.2983810.5967620.701619
540.2649390.5298780.735061
550.2292510.4585020.770749
560.2165740.4331480.783426
570.2306670.4613350.769333
580.3370830.6741660.662917
590.3025070.6050130.697493
600.2650030.5300070.734997
610.2361450.472290.763855
620.2234710.4469420.776529
630.1985090.3970190.801491
640.2026620.4053240.797338
650.1744550.348910.825545
660.1527010.3054020.847299
670.1298280.2596560.870172
680.1470760.2941530.852924
690.1459430.2918860.854057
700.1249950.2499910.875005
710.1340380.2680750.865962
720.1563970.3127940.843603
730.1524210.3048420.847579
740.1294480.2588950.870552
750.1135670.2271340.886433
760.1524410.3048810.847559
770.1321610.2643210.867839
780.1122120.2244240.887788
790.1435990.2871980.856401
800.1676780.3353560.832322
810.1592250.318450.840775
820.1389310.2778610.861069
830.1326020.2652040.867398
840.1263690.2527390.873631
850.1103740.2207470.889626
860.09818490.196370.901815
870.0871240.1742480.912876
880.1039490.2078980.896051
890.08735760.1747150.912642
900.0929360.1858720.907064
910.08610820.1722160.913892
920.07728670.1545730.922713
930.06553310.1310660.934467
940.06720470.1344090.932795
950.06685490.133710.933145
960.06149590.1229920.938504
970.05298890.1059780.947011
980.04737210.09474420.952628
990.0473910.09478190.952609
1000.04387230.08774470.956128
1010.03926930.07853860.960731
1020.03271520.06543030.967285
1030.02697970.05395930.97302
1040.02712050.05424090.97288
1050.06294850.1258970.937051
1060.0588640.1177280.941136
1070.07184310.1436860.928157
1080.06221890.1244380.937781
1090.09942830.1988570.900572
1100.1161720.2323430.883828
1110.1116850.223370.888315
1120.1475360.2950720.852464
1130.1378810.2757610.862119
1140.1329360.2658730.867064
1150.1266470.2532940.873353
1160.124410.2488210.87559
1170.1216880.2433770.878312
1180.1072190.2144370.892781
1190.1014340.2028670.898566
1200.09091010.181820.90909
1210.080110.160220.91989
1220.0729470.1458940.927053
1230.0621840.1243680.937816
1240.05940880.1188180.940591
1250.05613090.1122620.943869
1260.06932560.1386510.930674
1270.1252590.2505180.874741
1280.12310.2461990.8769
1290.1095250.2190510.890475
1300.1013580.2027170.898642
1310.1096270.2192540.890373
1320.1177120.2354240.882288
1330.1419040.2838080.858096
1340.1252820.2505640.874718
1350.1086170.2172340.891383
1360.09520130.1904030.904799
1370.08183850.1636770.918162
1380.08892450.1778490.911075
1390.07602040.1520410.92398
1400.07427010.148540.92573
1410.07240150.1448030.927598
1420.1005420.2010840.899458
1430.1198780.2397560.880122
1440.113710.227420.88629
1450.1960220.3920440.803978
1460.1806510.3613010.819349
1470.1619560.3239130.838044
1480.1436540.2873080.856346
1490.1316080.2632160.868392
1500.1170690.2341380.882931
1510.1873820.3747650.812618
1520.1752830.3505660.824717
1530.1607220.3214440.839278
1540.1718090.3436180.828191
1550.1497240.2994480.850276
1560.146420.2928410.85358
1570.1527160.3054310.847284
1580.1486890.2973780.851311
1590.1315940.2631880.868406
1600.134020.268040.86598
1610.1205720.2411440.879428
1620.1158230.2316450.884177
1630.1067560.2135130.893244
1640.1356460.2712920.864354
1650.123780.2475610.87622
1660.2111710.4223420.788829
1670.2133080.4266170.786692
1680.2038330.4076650.796167
1690.1848570.3697140.815143
1700.3020010.6040020.697999
1710.3347450.6694890.665255
1720.3015380.6030770.698462
1730.40510.81020.5949
1740.3694170.7388340.630583
1750.4350710.8701420.564929
1760.4116360.8232730.588364
1770.4121110.8242230.587889
1780.380540.7610790.61946
1790.3533860.7067720.646614
1800.3480440.6960880.651956
1810.3142610.6285220.685739
1820.3075080.6150160.692492
1830.3314180.6628360.668582
1840.3987070.7974150.601293
1850.6428860.7142290.357114
1860.6264910.7470180.373509
1870.6217810.7564390.378219
1880.7606210.4787580.239379
1890.7416430.5167150.258357
1900.7474430.5051150.252557
1910.7154240.5691530.284576
1920.6863020.6273970.313698
1930.6555240.6889520.344476
1940.6230870.7538260.376913
1950.585440.829120.41456
1960.5457890.9084230.454211
1970.5384720.9230560.461528
1980.5123330.9753340.487667
1990.4706930.9413850.529307
2000.5504540.8990930.449546
2010.5191170.9617660.480883
2020.6745520.6508950.325448
2030.6539840.6920310.346016
2040.6161380.7677250.383862
2050.5766990.8466020.423301
2060.5367490.9265020.463251
2070.497560.995120.50244
2080.4534140.9068270.546586
2090.4234050.846810.576595
2100.3897240.7794480.610276
2110.3493330.6986660.650667
2120.3182670.6365340.681733
2130.3723110.7446220.627689
2140.3517180.7034360.648282
2150.3092050.618410.690795
2160.273770.5475410.72623
2170.244010.488020.75599
2180.2748460.5496920.725154
2190.2471120.4942250.752888
2200.224930.4498590.77507
2210.1943540.3887080.805646
2220.2074070.4148150.792593
2230.1724990.3449980.827501
2240.1488110.2976210.851189
2250.2161930.4323870.783807
2260.1990390.3980790.800961
2270.1767250.353450.823275
2280.1865710.3731410.813429
2290.1530020.3060030.846998
2300.1222710.2445420.877729
2310.1217780.2435550.878222
2320.2681010.5362030.731899
2330.2269220.4538450.773078
2340.3474950.6949910.652505
2350.2976170.5952330.702383
2360.3022530.6045060.697747
2370.2639050.527810.736095
2380.3545050.709010.645495
2390.3004480.6008970.699552
2400.4743330.9486660.525667
2410.548150.9036990.45185
2420.4705930.9411860.529407
2430.3957260.7914530.604274
2440.3840880.7681760.615912
2450.4107670.8215340.589233
2460.6336160.7327680.366384
2470.6324980.7350040.367502
2480.5703890.8592210.429611
2490.7792390.4415220.220761
2500.7280640.5438730.271936
2510.7072690.5854610.292731
2520.8146080.3707840.185392
2530.7233810.5532390.276619

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.0462822 & 0.0925644 & 0.953718 \tabularnewline
12 & 0.388048 & 0.776097 & 0.611952 \tabularnewline
13 & 0.561638 & 0.876725 & 0.438362 \tabularnewline
14 & 0.558195 & 0.883609 & 0.441805 \tabularnewline
15 & 0.458186 & 0.916371 & 0.541814 \tabularnewline
16 & 0.493552 & 0.987104 & 0.506448 \tabularnewline
17 & 0.561893 & 0.876215 & 0.438107 \tabularnewline
18 & 0.562988 & 0.874025 & 0.437012 \tabularnewline
19 & 0.474933 & 0.949867 & 0.525067 \tabularnewline
20 & 0.50645 & 0.9871 & 0.49355 \tabularnewline
21 & 0.569061 & 0.861877 & 0.430939 \tabularnewline
22 & 0.538461 & 0.923079 & 0.461539 \tabularnewline
23 & 0.526756 & 0.946488 & 0.473244 \tabularnewline
24 & 0.460331 & 0.920662 & 0.539669 \tabularnewline
25 & 0.514533 & 0.970935 & 0.485467 \tabularnewline
26 & 0.689237 & 0.621526 & 0.310763 \tabularnewline
27 & 0.661675 & 0.676649 & 0.338325 \tabularnewline
28 & 0.615495 & 0.769009 & 0.384505 \tabularnewline
29 & 0.606015 & 0.787971 & 0.393985 \tabularnewline
30 & 0.543324 & 0.913352 & 0.456676 \tabularnewline
31 & 0.533898 & 0.932204 & 0.466102 \tabularnewline
32 & 0.679867 & 0.640266 & 0.320133 \tabularnewline
33 & 0.669151 & 0.661698 & 0.330849 \tabularnewline
34 & 0.628012 & 0.743977 & 0.371988 \tabularnewline
35 & 0.574183 & 0.851634 & 0.425817 \tabularnewline
36 & 0.519578 & 0.960844 & 0.480422 \tabularnewline
37 & 0.476209 & 0.952418 & 0.523791 \tabularnewline
38 & 0.441941 & 0.883882 & 0.558059 \tabularnewline
39 & 0.557868 & 0.884264 & 0.442132 \tabularnewline
40 & 0.504699 & 0.990602 & 0.495301 \tabularnewline
41 & 0.471354 & 0.942708 & 0.528646 \tabularnewline
42 & 0.418975 & 0.837949 & 0.581025 \tabularnewline
43 & 0.380668 & 0.761336 & 0.619332 \tabularnewline
44 & 0.336535 & 0.67307 & 0.663465 \tabularnewline
45 & 0.408475 & 0.81695 & 0.591525 \tabularnewline
46 & 0.418231 & 0.836463 & 0.581769 \tabularnewline
47 & 0.389508 & 0.779016 & 0.610492 \tabularnewline
48 & 0.359668 & 0.719335 & 0.640332 \tabularnewline
49 & 0.315857 & 0.631714 & 0.684143 \tabularnewline
50 & 0.328231 & 0.656462 & 0.671769 \tabularnewline
51 & 0.372437 & 0.744874 & 0.627563 \tabularnewline
52 & 0.337507 & 0.675013 & 0.662493 \tabularnewline
53 & 0.298381 & 0.596762 & 0.701619 \tabularnewline
54 & 0.264939 & 0.529878 & 0.735061 \tabularnewline
55 & 0.229251 & 0.458502 & 0.770749 \tabularnewline
56 & 0.216574 & 0.433148 & 0.783426 \tabularnewline
57 & 0.230667 & 0.461335 & 0.769333 \tabularnewline
58 & 0.337083 & 0.674166 & 0.662917 \tabularnewline
59 & 0.302507 & 0.605013 & 0.697493 \tabularnewline
60 & 0.265003 & 0.530007 & 0.734997 \tabularnewline
61 & 0.236145 & 0.47229 & 0.763855 \tabularnewline
62 & 0.223471 & 0.446942 & 0.776529 \tabularnewline
63 & 0.198509 & 0.397019 & 0.801491 \tabularnewline
64 & 0.202662 & 0.405324 & 0.797338 \tabularnewline
65 & 0.174455 & 0.34891 & 0.825545 \tabularnewline
66 & 0.152701 & 0.305402 & 0.847299 \tabularnewline
67 & 0.129828 & 0.259656 & 0.870172 \tabularnewline
68 & 0.147076 & 0.294153 & 0.852924 \tabularnewline
69 & 0.145943 & 0.291886 & 0.854057 \tabularnewline
70 & 0.124995 & 0.249991 & 0.875005 \tabularnewline
71 & 0.134038 & 0.268075 & 0.865962 \tabularnewline
72 & 0.156397 & 0.312794 & 0.843603 \tabularnewline
73 & 0.152421 & 0.304842 & 0.847579 \tabularnewline
74 & 0.129448 & 0.258895 & 0.870552 \tabularnewline
75 & 0.113567 & 0.227134 & 0.886433 \tabularnewline
76 & 0.152441 & 0.304881 & 0.847559 \tabularnewline
77 & 0.132161 & 0.264321 & 0.867839 \tabularnewline
78 & 0.112212 & 0.224424 & 0.887788 \tabularnewline
79 & 0.143599 & 0.287198 & 0.856401 \tabularnewline
80 & 0.167678 & 0.335356 & 0.832322 \tabularnewline
81 & 0.159225 & 0.31845 & 0.840775 \tabularnewline
82 & 0.138931 & 0.277861 & 0.861069 \tabularnewline
83 & 0.132602 & 0.265204 & 0.867398 \tabularnewline
84 & 0.126369 & 0.252739 & 0.873631 \tabularnewline
85 & 0.110374 & 0.220747 & 0.889626 \tabularnewline
86 & 0.0981849 & 0.19637 & 0.901815 \tabularnewline
87 & 0.087124 & 0.174248 & 0.912876 \tabularnewline
88 & 0.103949 & 0.207898 & 0.896051 \tabularnewline
89 & 0.0873576 & 0.174715 & 0.912642 \tabularnewline
90 & 0.092936 & 0.185872 & 0.907064 \tabularnewline
91 & 0.0861082 & 0.172216 & 0.913892 \tabularnewline
92 & 0.0772867 & 0.154573 & 0.922713 \tabularnewline
93 & 0.0655331 & 0.131066 & 0.934467 \tabularnewline
94 & 0.0672047 & 0.134409 & 0.932795 \tabularnewline
95 & 0.0668549 & 0.13371 & 0.933145 \tabularnewline
96 & 0.0614959 & 0.122992 & 0.938504 \tabularnewline
97 & 0.0529889 & 0.105978 & 0.947011 \tabularnewline
98 & 0.0473721 & 0.0947442 & 0.952628 \tabularnewline
99 & 0.047391 & 0.0947819 & 0.952609 \tabularnewline
100 & 0.0438723 & 0.0877447 & 0.956128 \tabularnewline
101 & 0.0392693 & 0.0785386 & 0.960731 \tabularnewline
102 & 0.0327152 & 0.0654303 & 0.967285 \tabularnewline
103 & 0.0269797 & 0.0539593 & 0.97302 \tabularnewline
104 & 0.0271205 & 0.0542409 & 0.97288 \tabularnewline
105 & 0.0629485 & 0.125897 & 0.937051 \tabularnewline
106 & 0.058864 & 0.117728 & 0.941136 \tabularnewline
107 & 0.0718431 & 0.143686 & 0.928157 \tabularnewline
108 & 0.0622189 & 0.124438 & 0.937781 \tabularnewline
109 & 0.0994283 & 0.198857 & 0.900572 \tabularnewline
110 & 0.116172 & 0.232343 & 0.883828 \tabularnewline
111 & 0.111685 & 0.22337 & 0.888315 \tabularnewline
112 & 0.147536 & 0.295072 & 0.852464 \tabularnewline
113 & 0.137881 & 0.275761 & 0.862119 \tabularnewline
114 & 0.132936 & 0.265873 & 0.867064 \tabularnewline
115 & 0.126647 & 0.253294 & 0.873353 \tabularnewline
116 & 0.12441 & 0.248821 & 0.87559 \tabularnewline
117 & 0.121688 & 0.243377 & 0.878312 \tabularnewline
118 & 0.107219 & 0.214437 & 0.892781 \tabularnewline
119 & 0.101434 & 0.202867 & 0.898566 \tabularnewline
120 & 0.0909101 & 0.18182 & 0.90909 \tabularnewline
121 & 0.08011 & 0.16022 & 0.91989 \tabularnewline
122 & 0.072947 & 0.145894 & 0.927053 \tabularnewline
123 & 0.062184 & 0.124368 & 0.937816 \tabularnewline
124 & 0.0594088 & 0.118818 & 0.940591 \tabularnewline
125 & 0.0561309 & 0.112262 & 0.943869 \tabularnewline
126 & 0.0693256 & 0.138651 & 0.930674 \tabularnewline
127 & 0.125259 & 0.250518 & 0.874741 \tabularnewline
128 & 0.1231 & 0.246199 & 0.8769 \tabularnewline
129 & 0.109525 & 0.219051 & 0.890475 \tabularnewline
130 & 0.101358 & 0.202717 & 0.898642 \tabularnewline
131 & 0.109627 & 0.219254 & 0.890373 \tabularnewline
132 & 0.117712 & 0.235424 & 0.882288 \tabularnewline
133 & 0.141904 & 0.283808 & 0.858096 \tabularnewline
134 & 0.125282 & 0.250564 & 0.874718 \tabularnewline
135 & 0.108617 & 0.217234 & 0.891383 \tabularnewline
136 & 0.0952013 & 0.190403 & 0.904799 \tabularnewline
137 & 0.0818385 & 0.163677 & 0.918162 \tabularnewline
138 & 0.0889245 & 0.177849 & 0.911075 \tabularnewline
139 & 0.0760204 & 0.152041 & 0.92398 \tabularnewline
140 & 0.0742701 & 0.14854 & 0.92573 \tabularnewline
141 & 0.0724015 & 0.144803 & 0.927598 \tabularnewline
142 & 0.100542 & 0.201084 & 0.899458 \tabularnewline
143 & 0.119878 & 0.239756 & 0.880122 \tabularnewline
144 & 0.11371 & 0.22742 & 0.88629 \tabularnewline
145 & 0.196022 & 0.392044 & 0.803978 \tabularnewline
146 & 0.180651 & 0.361301 & 0.819349 \tabularnewline
147 & 0.161956 & 0.323913 & 0.838044 \tabularnewline
148 & 0.143654 & 0.287308 & 0.856346 \tabularnewline
149 & 0.131608 & 0.263216 & 0.868392 \tabularnewline
150 & 0.117069 & 0.234138 & 0.882931 \tabularnewline
151 & 0.187382 & 0.374765 & 0.812618 \tabularnewline
152 & 0.175283 & 0.350566 & 0.824717 \tabularnewline
153 & 0.160722 & 0.321444 & 0.839278 \tabularnewline
154 & 0.171809 & 0.343618 & 0.828191 \tabularnewline
155 & 0.149724 & 0.299448 & 0.850276 \tabularnewline
156 & 0.14642 & 0.292841 & 0.85358 \tabularnewline
157 & 0.152716 & 0.305431 & 0.847284 \tabularnewline
158 & 0.148689 & 0.297378 & 0.851311 \tabularnewline
159 & 0.131594 & 0.263188 & 0.868406 \tabularnewline
160 & 0.13402 & 0.26804 & 0.86598 \tabularnewline
161 & 0.120572 & 0.241144 & 0.879428 \tabularnewline
162 & 0.115823 & 0.231645 & 0.884177 \tabularnewline
163 & 0.106756 & 0.213513 & 0.893244 \tabularnewline
164 & 0.135646 & 0.271292 & 0.864354 \tabularnewline
165 & 0.12378 & 0.247561 & 0.87622 \tabularnewline
166 & 0.211171 & 0.422342 & 0.788829 \tabularnewline
167 & 0.213308 & 0.426617 & 0.786692 \tabularnewline
168 & 0.203833 & 0.407665 & 0.796167 \tabularnewline
169 & 0.184857 & 0.369714 & 0.815143 \tabularnewline
170 & 0.302001 & 0.604002 & 0.697999 \tabularnewline
171 & 0.334745 & 0.669489 & 0.665255 \tabularnewline
172 & 0.301538 & 0.603077 & 0.698462 \tabularnewline
173 & 0.4051 & 0.8102 & 0.5949 \tabularnewline
174 & 0.369417 & 0.738834 & 0.630583 \tabularnewline
175 & 0.435071 & 0.870142 & 0.564929 \tabularnewline
176 & 0.411636 & 0.823273 & 0.588364 \tabularnewline
177 & 0.412111 & 0.824223 & 0.587889 \tabularnewline
178 & 0.38054 & 0.761079 & 0.61946 \tabularnewline
179 & 0.353386 & 0.706772 & 0.646614 \tabularnewline
180 & 0.348044 & 0.696088 & 0.651956 \tabularnewline
181 & 0.314261 & 0.628522 & 0.685739 \tabularnewline
182 & 0.307508 & 0.615016 & 0.692492 \tabularnewline
183 & 0.331418 & 0.662836 & 0.668582 \tabularnewline
184 & 0.398707 & 0.797415 & 0.601293 \tabularnewline
185 & 0.642886 & 0.714229 & 0.357114 \tabularnewline
186 & 0.626491 & 0.747018 & 0.373509 \tabularnewline
187 & 0.621781 & 0.756439 & 0.378219 \tabularnewline
188 & 0.760621 & 0.478758 & 0.239379 \tabularnewline
189 & 0.741643 & 0.516715 & 0.258357 \tabularnewline
190 & 0.747443 & 0.505115 & 0.252557 \tabularnewline
191 & 0.715424 & 0.569153 & 0.284576 \tabularnewline
192 & 0.686302 & 0.627397 & 0.313698 \tabularnewline
193 & 0.655524 & 0.688952 & 0.344476 \tabularnewline
194 & 0.623087 & 0.753826 & 0.376913 \tabularnewline
195 & 0.58544 & 0.82912 & 0.41456 \tabularnewline
196 & 0.545789 & 0.908423 & 0.454211 \tabularnewline
197 & 0.538472 & 0.923056 & 0.461528 \tabularnewline
198 & 0.512333 & 0.975334 & 0.487667 \tabularnewline
199 & 0.470693 & 0.941385 & 0.529307 \tabularnewline
200 & 0.550454 & 0.899093 & 0.449546 \tabularnewline
201 & 0.519117 & 0.961766 & 0.480883 \tabularnewline
202 & 0.674552 & 0.650895 & 0.325448 \tabularnewline
203 & 0.653984 & 0.692031 & 0.346016 \tabularnewline
204 & 0.616138 & 0.767725 & 0.383862 \tabularnewline
205 & 0.576699 & 0.846602 & 0.423301 \tabularnewline
206 & 0.536749 & 0.926502 & 0.463251 \tabularnewline
207 & 0.49756 & 0.99512 & 0.50244 \tabularnewline
208 & 0.453414 & 0.906827 & 0.546586 \tabularnewline
209 & 0.423405 & 0.84681 & 0.576595 \tabularnewline
210 & 0.389724 & 0.779448 & 0.610276 \tabularnewline
211 & 0.349333 & 0.698666 & 0.650667 \tabularnewline
212 & 0.318267 & 0.636534 & 0.681733 \tabularnewline
213 & 0.372311 & 0.744622 & 0.627689 \tabularnewline
214 & 0.351718 & 0.703436 & 0.648282 \tabularnewline
215 & 0.309205 & 0.61841 & 0.690795 \tabularnewline
216 & 0.27377 & 0.547541 & 0.72623 \tabularnewline
217 & 0.24401 & 0.48802 & 0.75599 \tabularnewline
218 & 0.274846 & 0.549692 & 0.725154 \tabularnewline
219 & 0.247112 & 0.494225 & 0.752888 \tabularnewline
220 & 0.22493 & 0.449859 & 0.77507 \tabularnewline
221 & 0.194354 & 0.388708 & 0.805646 \tabularnewline
222 & 0.207407 & 0.414815 & 0.792593 \tabularnewline
223 & 0.172499 & 0.344998 & 0.827501 \tabularnewline
224 & 0.148811 & 0.297621 & 0.851189 \tabularnewline
225 & 0.216193 & 0.432387 & 0.783807 \tabularnewline
226 & 0.199039 & 0.398079 & 0.800961 \tabularnewline
227 & 0.176725 & 0.35345 & 0.823275 \tabularnewline
228 & 0.186571 & 0.373141 & 0.813429 \tabularnewline
229 & 0.153002 & 0.306003 & 0.846998 \tabularnewline
230 & 0.122271 & 0.244542 & 0.877729 \tabularnewline
231 & 0.121778 & 0.243555 & 0.878222 \tabularnewline
232 & 0.268101 & 0.536203 & 0.731899 \tabularnewline
233 & 0.226922 & 0.453845 & 0.773078 \tabularnewline
234 & 0.347495 & 0.694991 & 0.652505 \tabularnewline
235 & 0.297617 & 0.595233 & 0.702383 \tabularnewline
236 & 0.302253 & 0.604506 & 0.697747 \tabularnewline
237 & 0.263905 & 0.52781 & 0.736095 \tabularnewline
238 & 0.354505 & 0.70901 & 0.645495 \tabularnewline
239 & 0.300448 & 0.600897 & 0.699552 \tabularnewline
240 & 0.474333 & 0.948666 & 0.525667 \tabularnewline
241 & 0.54815 & 0.903699 & 0.45185 \tabularnewline
242 & 0.470593 & 0.941186 & 0.529407 \tabularnewline
243 & 0.395726 & 0.791453 & 0.604274 \tabularnewline
244 & 0.384088 & 0.768176 & 0.615912 \tabularnewline
245 & 0.410767 & 0.821534 & 0.589233 \tabularnewline
246 & 0.633616 & 0.732768 & 0.366384 \tabularnewline
247 & 0.632498 & 0.735004 & 0.367502 \tabularnewline
248 & 0.570389 & 0.859221 & 0.429611 \tabularnewline
249 & 0.779239 & 0.441522 & 0.220761 \tabularnewline
250 & 0.728064 & 0.543873 & 0.271936 \tabularnewline
251 & 0.707269 & 0.585461 & 0.292731 \tabularnewline
252 & 0.814608 & 0.370784 & 0.185392 \tabularnewline
253 & 0.723381 & 0.553239 & 0.276619 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=228964&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]11[/C][C]0.0462822[/C][C]0.0925644[/C][C]0.953718[/C][/ROW]
[ROW][C]12[/C][C]0.388048[/C][C]0.776097[/C][C]0.611952[/C][/ROW]
[ROW][C]13[/C][C]0.561638[/C][C]0.876725[/C][C]0.438362[/C][/ROW]
[ROW][C]14[/C][C]0.558195[/C][C]0.883609[/C][C]0.441805[/C][/ROW]
[ROW][C]15[/C][C]0.458186[/C][C]0.916371[/C][C]0.541814[/C][/ROW]
[ROW][C]16[/C][C]0.493552[/C][C]0.987104[/C][C]0.506448[/C][/ROW]
[ROW][C]17[/C][C]0.561893[/C][C]0.876215[/C][C]0.438107[/C][/ROW]
[ROW][C]18[/C][C]0.562988[/C][C]0.874025[/C][C]0.437012[/C][/ROW]
[ROW][C]19[/C][C]0.474933[/C][C]0.949867[/C][C]0.525067[/C][/ROW]
[ROW][C]20[/C][C]0.50645[/C][C]0.9871[/C][C]0.49355[/C][/ROW]
[ROW][C]21[/C][C]0.569061[/C][C]0.861877[/C][C]0.430939[/C][/ROW]
[ROW][C]22[/C][C]0.538461[/C][C]0.923079[/C][C]0.461539[/C][/ROW]
[ROW][C]23[/C][C]0.526756[/C][C]0.946488[/C][C]0.473244[/C][/ROW]
[ROW][C]24[/C][C]0.460331[/C][C]0.920662[/C][C]0.539669[/C][/ROW]
[ROW][C]25[/C][C]0.514533[/C][C]0.970935[/C][C]0.485467[/C][/ROW]
[ROW][C]26[/C][C]0.689237[/C][C]0.621526[/C][C]0.310763[/C][/ROW]
[ROW][C]27[/C][C]0.661675[/C][C]0.676649[/C][C]0.338325[/C][/ROW]
[ROW][C]28[/C][C]0.615495[/C][C]0.769009[/C][C]0.384505[/C][/ROW]
[ROW][C]29[/C][C]0.606015[/C][C]0.787971[/C][C]0.393985[/C][/ROW]
[ROW][C]30[/C][C]0.543324[/C][C]0.913352[/C][C]0.456676[/C][/ROW]
[ROW][C]31[/C][C]0.533898[/C][C]0.932204[/C][C]0.466102[/C][/ROW]
[ROW][C]32[/C][C]0.679867[/C][C]0.640266[/C][C]0.320133[/C][/ROW]
[ROW][C]33[/C][C]0.669151[/C][C]0.661698[/C][C]0.330849[/C][/ROW]
[ROW][C]34[/C][C]0.628012[/C][C]0.743977[/C][C]0.371988[/C][/ROW]
[ROW][C]35[/C][C]0.574183[/C][C]0.851634[/C][C]0.425817[/C][/ROW]
[ROW][C]36[/C][C]0.519578[/C][C]0.960844[/C][C]0.480422[/C][/ROW]
[ROW][C]37[/C][C]0.476209[/C][C]0.952418[/C][C]0.523791[/C][/ROW]
[ROW][C]38[/C][C]0.441941[/C][C]0.883882[/C][C]0.558059[/C][/ROW]
[ROW][C]39[/C][C]0.557868[/C][C]0.884264[/C][C]0.442132[/C][/ROW]
[ROW][C]40[/C][C]0.504699[/C][C]0.990602[/C][C]0.495301[/C][/ROW]
[ROW][C]41[/C][C]0.471354[/C][C]0.942708[/C][C]0.528646[/C][/ROW]
[ROW][C]42[/C][C]0.418975[/C][C]0.837949[/C][C]0.581025[/C][/ROW]
[ROW][C]43[/C][C]0.380668[/C][C]0.761336[/C][C]0.619332[/C][/ROW]
[ROW][C]44[/C][C]0.336535[/C][C]0.67307[/C][C]0.663465[/C][/ROW]
[ROW][C]45[/C][C]0.408475[/C][C]0.81695[/C][C]0.591525[/C][/ROW]
[ROW][C]46[/C][C]0.418231[/C][C]0.836463[/C][C]0.581769[/C][/ROW]
[ROW][C]47[/C][C]0.389508[/C][C]0.779016[/C][C]0.610492[/C][/ROW]
[ROW][C]48[/C][C]0.359668[/C][C]0.719335[/C][C]0.640332[/C][/ROW]
[ROW][C]49[/C][C]0.315857[/C][C]0.631714[/C][C]0.684143[/C][/ROW]
[ROW][C]50[/C][C]0.328231[/C][C]0.656462[/C][C]0.671769[/C][/ROW]
[ROW][C]51[/C][C]0.372437[/C][C]0.744874[/C][C]0.627563[/C][/ROW]
[ROW][C]52[/C][C]0.337507[/C][C]0.675013[/C][C]0.662493[/C][/ROW]
[ROW][C]53[/C][C]0.298381[/C][C]0.596762[/C][C]0.701619[/C][/ROW]
[ROW][C]54[/C][C]0.264939[/C][C]0.529878[/C][C]0.735061[/C][/ROW]
[ROW][C]55[/C][C]0.229251[/C][C]0.458502[/C][C]0.770749[/C][/ROW]
[ROW][C]56[/C][C]0.216574[/C][C]0.433148[/C][C]0.783426[/C][/ROW]
[ROW][C]57[/C][C]0.230667[/C][C]0.461335[/C][C]0.769333[/C][/ROW]
[ROW][C]58[/C][C]0.337083[/C][C]0.674166[/C][C]0.662917[/C][/ROW]
[ROW][C]59[/C][C]0.302507[/C][C]0.605013[/C][C]0.697493[/C][/ROW]
[ROW][C]60[/C][C]0.265003[/C][C]0.530007[/C][C]0.734997[/C][/ROW]
[ROW][C]61[/C][C]0.236145[/C][C]0.47229[/C][C]0.763855[/C][/ROW]
[ROW][C]62[/C][C]0.223471[/C][C]0.446942[/C][C]0.776529[/C][/ROW]
[ROW][C]63[/C][C]0.198509[/C][C]0.397019[/C][C]0.801491[/C][/ROW]
[ROW][C]64[/C][C]0.202662[/C][C]0.405324[/C][C]0.797338[/C][/ROW]
[ROW][C]65[/C][C]0.174455[/C][C]0.34891[/C][C]0.825545[/C][/ROW]
[ROW][C]66[/C][C]0.152701[/C][C]0.305402[/C][C]0.847299[/C][/ROW]
[ROW][C]67[/C][C]0.129828[/C][C]0.259656[/C][C]0.870172[/C][/ROW]
[ROW][C]68[/C][C]0.147076[/C][C]0.294153[/C][C]0.852924[/C][/ROW]
[ROW][C]69[/C][C]0.145943[/C][C]0.291886[/C][C]0.854057[/C][/ROW]
[ROW][C]70[/C][C]0.124995[/C][C]0.249991[/C][C]0.875005[/C][/ROW]
[ROW][C]71[/C][C]0.134038[/C][C]0.268075[/C][C]0.865962[/C][/ROW]
[ROW][C]72[/C][C]0.156397[/C][C]0.312794[/C][C]0.843603[/C][/ROW]
[ROW][C]73[/C][C]0.152421[/C][C]0.304842[/C][C]0.847579[/C][/ROW]
[ROW][C]74[/C][C]0.129448[/C][C]0.258895[/C][C]0.870552[/C][/ROW]
[ROW][C]75[/C][C]0.113567[/C][C]0.227134[/C][C]0.886433[/C][/ROW]
[ROW][C]76[/C][C]0.152441[/C][C]0.304881[/C][C]0.847559[/C][/ROW]
[ROW][C]77[/C][C]0.132161[/C][C]0.264321[/C][C]0.867839[/C][/ROW]
[ROW][C]78[/C][C]0.112212[/C][C]0.224424[/C][C]0.887788[/C][/ROW]
[ROW][C]79[/C][C]0.143599[/C][C]0.287198[/C][C]0.856401[/C][/ROW]
[ROW][C]80[/C][C]0.167678[/C][C]0.335356[/C][C]0.832322[/C][/ROW]
[ROW][C]81[/C][C]0.159225[/C][C]0.31845[/C][C]0.840775[/C][/ROW]
[ROW][C]82[/C][C]0.138931[/C][C]0.277861[/C][C]0.861069[/C][/ROW]
[ROW][C]83[/C][C]0.132602[/C][C]0.265204[/C][C]0.867398[/C][/ROW]
[ROW][C]84[/C][C]0.126369[/C][C]0.252739[/C][C]0.873631[/C][/ROW]
[ROW][C]85[/C][C]0.110374[/C][C]0.220747[/C][C]0.889626[/C][/ROW]
[ROW][C]86[/C][C]0.0981849[/C][C]0.19637[/C][C]0.901815[/C][/ROW]
[ROW][C]87[/C][C]0.087124[/C][C]0.174248[/C][C]0.912876[/C][/ROW]
[ROW][C]88[/C][C]0.103949[/C][C]0.207898[/C][C]0.896051[/C][/ROW]
[ROW][C]89[/C][C]0.0873576[/C][C]0.174715[/C][C]0.912642[/C][/ROW]
[ROW][C]90[/C][C]0.092936[/C][C]0.185872[/C][C]0.907064[/C][/ROW]
[ROW][C]91[/C][C]0.0861082[/C][C]0.172216[/C][C]0.913892[/C][/ROW]
[ROW][C]92[/C][C]0.0772867[/C][C]0.154573[/C][C]0.922713[/C][/ROW]
[ROW][C]93[/C][C]0.0655331[/C][C]0.131066[/C][C]0.934467[/C][/ROW]
[ROW][C]94[/C][C]0.0672047[/C][C]0.134409[/C][C]0.932795[/C][/ROW]
[ROW][C]95[/C][C]0.0668549[/C][C]0.13371[/C][C]0.933145[/C][/ROW]
[ROW][C]96[/C][C]0.0614959[/C][C]0.122992[/C][C]0.938504[/C][/ROW]
[ROW][C]97[/C][C]0.0529889[/C][C]0.105978[/C][C]0.947011[/C][/ROW]
[ROW][C]98[/C][C]0.0473721[/C][C]0.0947442[/C][C]0.952628[/C][/ROW]
[ROW][C]99[/C][C]0.047391[/C][C]0.0947819[/C][C]0.952609[/C][/ROW]
[ROW][C]100[/C][C]0.0438723[/C][C]0.0877447[/C][C]0.956128[/C][/ROW]
[ROW][C]101[/C][C]0.0392693[/C][C]0.0785386[/C][C]0.960731[/C][/ROW]
[ROW][C]102[/C][C]0.0327152[/C][C]0.0654303[/C][C]0.967285[/C][/ROW]
[ROW][C]103[/C][C]0.0269797[/C][C]0.0539593[/C][C]0.97302[/C][/ROW]
[ROW][C]104[/C][C]0.0271205[/C][C]0.0542409[/C][C]0.97288[/C][/ROW]
[ROW][C]105[/C][C]0.0629485[/C][C]0.125897[/C][C]0.937051[/C][/ROW]
[ROW][C]106[/C][C]0.058864[/C][C]0.117728[/C][C]0.941136[/C][/ROW]
[ROW][C]107[/C][C]0.0718431[/C][C]0.143686[/C][C]0.928157[/C][/ROW]
[ROW][C]108[/C][C]0.0622189[/C][C]0.124438[/C][C]0.937781[/C][/ROW]
[ROW][C]109[/C][C]0.0994283[/C][C]0.198857[/C][C]0.900572[/C][/ROW]
[ROW][C]110[/C][C]0.116172[/C][C]0.232343[/C][C]0.883828[/C][/ROW]
[ROW][C]111[/C][C]0.111685[/C][C]0.22337[/C][C]0.888315[/C][/ROW]
[ROW][C]112[/C][C]0.147536[/C][C]0.295072[/C][C]0.852464[/C][/ROW]
[ROW][C]113[/C][C]0.137881[/C][C]0.275761[/C][C]0.862119[/C][/ROW]
[ROW][C]114[/C][C]0.132936[/C][C]0.265873[/C][C]0.867064[/C][/ROW]
[ROW][C]115[/C][C]0.126647[/C][C]0.253294[/C][C]0.873353[/C][/ROW]
[ROW][C]116[/C][C]0.12441[/C][C]0.248821[/C][C]0.87559[/C][/ROW]
[ROW][C]117[/C][C]0.121688[/C][C]0.243377[/C][C]0.878312[/C][/ROW]
[ROW][C]118[/C][C]0.107219[/C][C]0.214437[/C][C]0.892781[/C][/ROW]
[ROW][C]119[/C][C]0.101434[/C][C]0.202867[/C][C]0.898566[/C][/ROW]
[ROW][C]120[/C][C]0.0909101[/C][C]0.18182[/C][C]0.90909[/C][/ROW]
[ROW][C]121[/C][C]0.08011[/C][C]0.16022[/C][C]0.91989[/C][/ROW]
[ROW][C]122[/C][C]0.072947[/C][C]0.145894[/C][C]0.927053[/C][/ROW]
[ROW][C]123[/C][C]0.062184[/C][C]0.124368[/C][C]0.937816[/C][/ROW]
[ROW][C]124[/C][C]0.0594088[/C][C]0.118818[/C][C]0.940591[/C][/ROW]
[ROW][C]125[/C][C]0.0561309[/C][C]0.112262[/C][C]0.943869[/C][/ROW]
[ROW][C]126[/C][C]0.0693256[/C][C]0.138651[/C][C]0.930674[/C][/ROW]
[ROW][C]127[/C][C]0.125259[/C][C]0.250518[/C][C]0.874741[/C][/ROW]
[ROW][C]128[/C][C]0.1231[/C][C]0.246199[/C][C]0.8769[/C][/ROW]
[ROW][C]129[/C][C]0.109525[/C][C]0.219051[/C][C]0.890475[/C][/ROW]
[ROW][C]130[/C][C]0.101358[/C][C]0.202717[/C][C]0.898642[/C][/ROW]
[ROW][C]131[/C][C]0.109627[/C][C]0.219254[/C][C]0.890373[/C][/ROW]
[ROW][C]132[/C][C]0.117712[/C][C]0.235424[/C][C]0.882288[/C][/ROW]
[ROW][C]133[/C][C]0.141904[/C][C]0.283808[/C][C]0.858096[/C][/ROW]
[ROW][C]134[/C][C]0.125282[/C][C]0.250564[/C][C]0.874718[/C][/ROW]
[ROW][C]135[/C][C]0.108617[/C][C]0.217234[/C][C]0.891383[/C][/ROW]
[ROW][C]136[/C][C]0.0952013[/C][C]0.190403[/C][C]0.904799[/C][/ROW]
[ROW][C]137[/C][C]0.0818385[/C][C]0.163677[/C][C]0.918162[/C][/ROW]
[ROW][C]138[/C][C]0.0889245[/C][C]0.177849[/C][C]0.911075[/C][/ROW]
[ROW][C]139[/C][C]0.0760204[/C][C]0.152041[/C][C]0.92398[/C][/ROW]
[ROW][C]140[/C][C]0.0742701[/C][C]0.14854[/C][C]0.92573[/C][/ROW]
[ROW][C]141[/C][C]0.0724015[/C][C]0.144803[/C][C]0.927598[/C][/ROW]
[ROW][C]142[/C][C]0.100542[/C][C]0.201084[/C][C]0.899458[/C][/ROW]
[ROW][C]143[/C][C]0.119878[/C][C]0.239756[/C][C]0.880122[/C][/ROW]
[ROW][C]144[/C][C]0.11371[/C][C]0.22742[/C][C]0.88629[/C][/ROW]
[ROW][C]145[/C][C]0.196022[/C][C]0.392044[/C][C]0.803978[/C][/ROW]
[ROW][C]146[/C][C]0.180651[/C][C]0.361301[/C][C]0.819349[/C][/ROW]
[ROW][C]147[/C][C]0.161956[/C][C]0.323913[/C][C]0.838044[/C][/ROW]
[ROW][C]148[/C][C]0.143654[/C][C]0.287308[/C][C]0.856346[/C][/ROW]
[ROW][C]149[/C][C]0.131608[/C][C]0.263216[/C][C]0.868392[/C][/ROW]
[ROW][C]150[/C][C]0.117069[/C][C]0.234138[/C][C]0.882931[/C][/ROW]
[ROW][C]151[/C][C]0.187382[/C][C]0.374765[/C][C]0.812618[/C][/ROW]
[ROW][C]152[/C][C]0.175283[/C][C]0.350566[/C][C]0.824717[/C][/ROW]
[ROW][C]153[/C][C]0.160722[/C][C]0.321444[/C][C]0.839278[/C][/ROW]
[ROW][C]154[/C][C]0.171809[/C][C]0.343618[/C][C]0.828191[/C][/ROW]
[ROW][C]155[/C][C]0.149724[/C][C]0.299448[/C][C]0.850276[/C][/ROW]
[ROW][C]156[/C][C]0.14642[/C][C]0.292841[/C][C]0.85358[/C][/ROW]
[ROW][C]157[/C][C]0.152716[/C][C]0.305431[/C][C]0.847284[/C][/ROW]
[ROW][C]158[/C][C]0.148689[/C][C]0.297378[/C][C]0.851311[/C][/ROW]
[ROW][C]159[/C][C]0.131594[/C][C]0.263188[/C][C]0.868406[/C][/ROW]
[ROW][C]160[/C][C]0.13402[/C][C]0.26804[/C][C]0.86598[/C][/ROW]
[ROW][C]161[/C][C]0.120572[/C][C]0.241144[/C][C]0.879428[/C][/ROW]
[ROW][C]162[/C][C]0.115823[/C][C]0.231645[/C][C]0.884177[/C][/ROW]
[ROW][C]163[/C][C]0.106756[/C][C]0.213513[/C][C]0.893244[/C][/ROW]
[ROW][C]164[/C][C]0.135646[/C][C]0.271292[/C][C]0.864354[/C][/ROW]
[ROW][C]165[/C][C]0.12378[/C][C]0.247561[/C][C]0.87622[/C][/ROW]
[ROW][C]166[/C][C]0.211171[/C][C]0.422342[/C][C]0.788829[/C][/ROW]
[ROW][C]167[/C][C]0.213308[/C][C]0.426617[/C][C]0.786692[/C][/ROW]
[ROW][C]168[/C][C]0.203833[/C][C]0.407665[/C][C]0.796167[/C][/ROW]
[ROW][C]169[/C][C]0.184857[/C][C]0.369714[/C][C]0.815143[/C][/ROW]
[ROW][C]170[/C][C]0.302001[/C][C]0.604002[/C][C]0.697999[/C][/ROW]
[ROW][C]171[/C][C]0.334745[/C][C]0.669489[/C][C]0.665255[/C][/ROW]
[ROW][C]172[/C][C]0.301538[/C][C]0.603077[/C][C]0.698462[/C][/ROW]
[ROW][C]173[/C][C]0.4051[/C][C]0.8102[/C][C]0.5949[/C][/ROW]
[ROW][C]174[/C][C]0.369417[/C][C]0.738834[/C][C]0.630583[/C][/ROW]
[ROW][C]175[/C][C]0.435071[/C][C]0.870142[/C][C]0.564929[/C][/ROW]
[ROW][C]176[/C][C]0.411636[/C][C]0.823273[/C][C]0.588364[/C][/ROW]
[ROW][C]177[/C][C]0.412111[/C][C]0.824223[/C][C]0.587889[/C][/ROW]
[ROW][C]178[/C][C]0.38054[/C][C]0.761079[/C][C]0.61946[/C][/ROW]
[ROW][C]179[/C][C]0.353386[/C][C]0.706772[/C][C]0.646614[/C][/ROW]
[ROW][C]180[/C][C]0.348044[/C][C]0.696088[/C][C]0.651956[/C][/ROW]
[ROW][C]181[/C][C]0.314261[/C][C]0.628522[/C][C]0.685739[/C][/ROW]
[ROW][C]182[/C][C]0.307508[/C][C]0.615016[/C][C]0.692492[/C][/ROW]
[ROW][C]183[/C][C]0.331418[/C][C]0.662836[/C][C]0.668582[/C][/ROW]
[ROW][C]184[/C][C]0.398707[/C][C]0.797415[/C][C]0.601293[/C][/ROW]
[ROW][C]185[/C][C]0.642886[/C][C]0.714229[/C][C]0.357114[/C][/ROW]
[ROW][C]186[/C][C]0.626491[/C][C]0.747018[/C][C]0.373509[/C][/ROW]
[ROW][C]187[/C][C]0.621781[/C][C]0.756439[/C][C]0.378219[/C][/ROW]
[ROW][C]188[/C][C]0.760621[/C][C]0.478758[/C][C]0.239379[/C][/ROW]
[ROW][C]189[/C][C]0.741643[/C][C]0.516715[/C][C]0.258357[/C][/ROW]
[ROW][C]190[/C][C]0.747443[/C][C]0.505115[/C][C]0.252557[/C][/ROW]
[ROW][C]191[/C][C]0.715424[/C][C]0.569153[/C][C]0.284576[/C][/ROW]
[ROW][C]192[/C][C]0.686302[/C][C]0.627397[/C][C]0.313698[/C][/ROW]
[ROW][C]193[/C][C]0.655524[/C][C]0.688952[/C][C]0.344476[/C][/ROW]
[ROW][C]194[/C][C]0.623087[/C][C]0.753826[/C][C]0.376913[/C][/ROW]
[ROW][C]195[/C][C]0.58544[/C][C]0.82912[/C][C]0.41456[/C][/ROW]
[ROW][C]196[/C][C]0.545789[/C][C]0.908423[/C][C]0.454211[/C][/ROW]
[ROW][C]197[/C][C]0.538472[/C][C]0.923056[/C][C]0.461528[/C][/ROW]
[ROW][C]198[/C][C]0.512333[/C][C]0.975334[/C][C]0.487667[/C][/ROW]
[ROW][C]199[/C][C]0.470693[/C][C]0.941385[/C][C]0.529307[/C][/ROW]
[ROW][C]200[/C][C]0.550454[/C][C]0.899093[/C][C]0.449546[/C][/ROW]
[ROW][C]201[/C][C]0.519117[/C][C]0.961766[/C][C]0.480883[/C][/ROW]
[ROW][C]202[/C][C]0.674552[/C][C]0.650895[/C][C]0.325448[/C][/ROW]
[ROW][C]203[/C][C]0.653984[/C][C]0.692031[/C][C]0.346016[/C][/ROW]
[ROW][C]204[/C][C]0.616138[/C][C]0.767725[/C][C]0.383862[/C][/ROW]
[ROW][C]205[/C][C]0.576699[/C][C]0.846602[/C][C]0.423301[/C][/ROW]
[ROW][C]206[/C][C]0.536749[/C][C]0.926502[/C][C]0.463251[/C][/ROW]
[ROW][C]207[/C][C]0.49756[/C][C]0.99512[/C][C]0.50244[/C][/ROW]
[ROW][C]208[/C][C]0.453414[/C][C]0.906827[/C][C]0.546586[/C][/ROW]
[ROW][C]209[/C][C]0.423405[/C][C]0.84681[/C][C]0.576595[/C][/ROW]
[ROW][C]210[/C][C]0.389724[/C][C]0.779448[/C][C]0.610276[/C][/ROW]
[ROW][C]211[/C][C]0.349333[/C][C]0.698666[/C][C]0.650667[/C][/ROW]
[ROW][C]212[/C][C]0.318267[/C][C]0.636534[/C][C]0.681733[/C][/ROW]
[ROW][C]213[/C][C]0.372311[/C][C]0.744622[/C][C]0.627689[/C][/ROW]
[ROW][C]214[/C][C]0.351718[/C][C]0.703436[/C][C]0.648282[/C][/ROW]
[ROW][C]215[/C][C]0.309205[/C][C]0.61841[/C][C]0.690795[/C][/ROW]
[ROW][C]216[/C][C]0.27377[/C][C]0.547541[/C][C]0.72623[/C][/ROW]
[ROW][C]217[/C][C]0.24401[/C][C]0.48802[/C][C]0.75599[/C][/ROW]
[ROW][C]218[/C][C]0.274846[/C][C]0.549692[/C][C]0.725154[/C][/ROW]
[ROW][C]219[/C][C]0.247112[/C][C]0.494225[/C][C]0.752888[/C][/ROW]
[ROW][C]220[/C][C]0.22493[/C][C]0.449859[/C][C]0.77507[/C][/ROW]
[ROW][C]221[/C][C]0.194354[/C][C]0.388708[/C][C]0.805646[/C][/ROW]
[ROW][C]222[/C][C]0.207407[/C][C]0.414815[/C][C]0.792593[/C][/ROW]
[ROW][C]223[/C][C]0.172499[/C][C]0.344998[/C][C]0.827501[/C][/ROW]
[ROW][C]224[/C][C]0.148811[/C][C]0.297621[/C][C]0.851189[/C][/ROW]
[ROW][C]225[/C][C]0.216193[/C][C]0.432387[/C][C]0.783807[/C][/ROW]
[ROW][C]226[/C][C]0.199039[/C][C]0.398079[/C][C]0.800961[/C][/ROW]
[ROW][C]227[/C][C]0.176725[/C][C]0.35345[/C][C]0.823275[/C][/ROW]
[ROW][C]228[/C][C]0.186571[/C][C]0.373141[/C][C]0.813429[/C][/ROW]
[ROW][C]229[/C][C]0.153002[/C][C]0.306003[/C][C]0.846998[/C][/ROW]
[ROW][C]230[/C][C]0.122271[/C][C]0.244542[/C][C]0.877729[/C][/ROW]
[ROW][C]231[/C][C]0.121778[/C][C]0.243555[/C][C]0.878222[/C][/ROW]
[ROW][C]232[/C][C]0.268101[/C][C]0.536203[/C][C]0.731899[/C][/ROW]
[ROW][C]233[/C][C]0.226922[/C][C]0.453845[/C][C]0.773078[/C][/ROW]
[ROW][C]234[/C][C]0.347495[/C][C]0.694991[/C][C]0.652505[/C][/ROW]
[ROW][C]235[/C][C]0.297617[/C][C]0.595233[/C][C]0.702383[/C][/ROW]
[ROW][C]236[/C][C]0.302253[/C][C]0.604506[/C][C]0.697747[/C][/ROW]
[ROW][C]237[/C][C]0.263905[/C][C]0.52781[/C][C]0.736095[/C][/ROW]
[ROW][C]238[/C][C]0.354505[/C][C]0.70901[/C][C]0.645495[/C][/ROW]
[ROW][C]239[/C][C]0.300448[/C][C]0.600897[/C][C]0.699552[/C][/ROW]
[ROW][C]240[/C][C]0.474333[/C][C]0.948666[/C][C]0.525667[/C][/ROW]
[ROW][C]241[/C][C]0.54815[/C][C]0.903699[/C][C]0.45185[/C][/ROW]
[ROW][C]242[/C][C]0.470593[/C][C]0.941186[/C][C]0.529407[/C][/ROW]
[ROW][C]243[/C][C]0.395726[/C][C]0.791453[/C][C]0.604274[/C][/ROW]
[ROW][C]244[/C][C]0.384088[/C][C]0.768176[/C][C]0.615912[/C][/ROW]
[ROW][C]245[/C][C]0.410767[/C][C]0.821534[/C][C]0.589233[/C][/ROW]
[ROW][C]246[/C][C]0.633616[/C][C]0.732768[/C][C]0.366384[/C][/ROW]
[ROW][C]247[/C][C]0.632498[/C][C]0.735004[/C][C]0.367502[/C][/ROW]
[ROW][C]248[/C][C]0.570389[/C][C]0.859221[/C][C]0.429611[/C][/ROW]
[ROW][C]249[/C][C]0.779239[/C][C]0.441522[/C][C]0.220761[/C][/ROW]
[ROW][C]250[/C][C]0.728064[/C][C]0.543873[/C][C]0.271936[/C][/ROW]
[ROW][C]251[/C][C]0.707269[/C][C]0.585461[/C][C]0.292731[/C][/ROW]
[ROW][C]252[/C][C]0.814608[/C][C]0.370784[/C][C]0.185392[/C][/ROW]
[ROW][C]253[/C][C]0.723381[/C][C]0.553239[/C][C]0.276619[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=228964&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=228964&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.04628220.09256440.953718
120.3880480.7760970.611952
130.5616380.8767250.438362
140.5581950.8836090.441805
150.4581860.9163710.541814
160.4935520.9871040.506448
170.5618930.8762150.438107
180.5629880.8740250.437012
190.4749330.9498670.525067
200.506450.98710.49355
210.5690610.8618770.430939
220.5384610.9230790.461539
230.5267560.9464880.473244
240.4603310.9206620.539669
250.5145330.9709350.485467
260.6892370.6215260.310763
270.6616750.6766490.338325
280.6154950.7690090.384505
290.6060150.7879710.393985
300.5433240.9133520.456676
310.5338980.9322040.466102
320.6798670.6402660.320133
330.6691510.6616980.330849
340.6280120.7439770.371988
350.5741830.8516340.425817
360.5195780.9608440.480422
370.4762090.9524180.523791
380.4419410.8838820.558059
390.5578680.8842640.442132
400.5046990.9906020.495301
410.4713540.9427080.528646
420.4189750.8379490.581025
430.3806680.7613360.619332
440.3365350.673070.663465
450.4084750.816950.591525
460.4182310.8364630.581769
470.3895080.7790160.610492
480.3596680.7193350.640332
490.3158570.6317140.684143
500.3282310.6564620.671769
510.3724370.7448740.627563
520.3375070.6750130.662493
530.2983810.5967620.701619
540.2649390.5298780.735061
550.2292510.4585020.770749
560.2165740.4331480.783426
570.2306670.4613350.769333
580.3370830.6741660.662917
590.3025070.6050130.697493
600.2650030.5300070.734997
610.2361450.472290.763855
620.2234710.4469420.776529
630.1985090.3970190.801491
640.2026620.4053240.797338
650.1744550.348910.825545
660.1527010.3054020.847299
670.1298280.2596560.870172
680.1470760.2941530.852924
690.1459430.2918860.854057
700.1249950.2499910.875005
710.1340380.2680750.865962
720.1563970.3127940.843603
730.1524210.3048420.847579
740.1294480.2588950.870552
750.1135670.2271340.886433
760.1524410.3048810.847559
770.1321610.2643210.867839
780.1122120.2244240.887788
790.1435990.2871980.856401
800.1676780.3353560.832322
810.1592250.318450.840775
820.1389310.2778610.861069
830.1326020.2652040.867398
840.1263690.2527390.873631
850.1103740.2207470.889626
860.09818490.196370.901815
870.0871240.1742480.912876
880.1039490.2078980.896051
890.08735760.1747150.912642
900.0929360.1858720.907064
910.08610820.1722160.913892
920.07728670.1545730.922713
930.06553310.1310660.934467
940.06720470.1344090.932795
950.06685490.133710.933145
960.06149590.1229920.938504
970.05298890.1059780.947011
980.04737210.09474420.952628
990.0473910.09478190.952609
1000.04387230.08774470.956128
1010.03926930.07853860.960731
1020.03271520.06543030.967285
1030.02697970.05395930.97302
1040.02712050.05424090.97288
1050.06294850.1258970.937051
1060.0588640.1177280.941136
1070.07184310.1436860.928157
1080.06221890.1244380.937781
1090.09942830.1988570.900572
1100.1161720.2323430.883828
1110.1116850.223370.888315
1120.1475360.2950720.852464
1130.1378810.2757610.862119
1140.1329360.2658730.867064
1150.1266470.2532940.873353
1160.124410.2488210.87559
1170.1216880.2433770.878312
1180.1072190.2144370.892781
1190.1014340.2028670.898566
1200.09091010.181820.90909
1210.080110.160220.91989
1220.0729470.1458940.927053
1230.0621840.1243680.937816
1240.05940880.1188180.940591
1250.05613090.1122620.943869
1260.06932560.1386510.930674
1270.1252590.2505180.874741
1280.12310.2461990.8769
1290.1095250.2190510.890475
1300.1013580.2027170.898642
1310.1096270.2192540.890373
1320.1177120.2354240.882288
1330.1419040.2838080.858096
1340.1252820.2505640.874718
1350.1086170.2172340.891383
1360.09520130.1904030.904799
1370.08183850.1636770.918162
1380.08892450.1778490.911075
1390.07602040.1520410.92398
1400.07427010.148540.92573
1410.07240150.1448030.927598
1420.1005420.2010840.899458
1430.1198780.2397560.880122
1440.113710.227420.88629
1450.1960220.3920440.803978
1460.1806510.3613010.819349
1470.1619560.3239130.838044
1480.1436540.2873080.856346
1490.1316080.2632160.868392
1500.1170690.2341380.882931
1510.1873820.3747650.812618
1520.1752830.3505660.824717
1530.1607220.3214440.839278
1540.1718090.3436180.828191
1550.1497240.2994480.850276
1560.146420.2928410.85358
1570.1527160.3054310.847284
1580.1486890.2973780.851311
1590.1315940.2631880.868406
1600.134020.268040.86598
1610.1205720.2411440.879428
1620.1158230.2316450.884177
1630.1067560.2135130.893244
1640.1356460.2712920.864354
1650.123780.2475610.87622
1660.2111710.4223420.788829
1670.2133080.4266170.786692
1680.2038330.4076650.796167
1690.1848570.3697140.815143
1700.3020010.6040020.697999
1710.3347450.6694890.665255
1720.3015380.6030770.698462
1730.40510.81020.5949
1740.3694170.7388340.630583
1750.4350710.8701420.564929
1760.4116360.8232730.588364
1770.4121110.8242230.587889
1780.380540.7610790.61946
1790.3533860.7067720.646614
1800.3480440.6960880.651956
1810.3142610.6285220.685739
1820.3075080.6150160.692492
1830.3314180.6628360.668582
1840.3987070.7974150.601293
1850.6428860.7142290.357114
1860.6264910.7470180.373509
1870.6217810.7564390.378219
1880.7606210.4787580.239379
1890.7416430.5167150.258357
1900.7474430.5051150.252557
1910.7154240.5691530.284576
1920.6863020.6273970.313698
1930.6555240.6889520.344476
1940.6230870.7538260.376913
1950.585440.829120.41456
1960.5457890.9084230.454211
1970.5384720.9230560.461528
1980.5123330.9753340.487667
1990.4706930.9413850.529307
2000.5504540.8990930.449546
2010.5191170.9617660.480883
2020.6745520.6508950.325448
2030.6539840.6920310.346016
2040.6161380.7677250.383862
2050.5766990.8466020.423301
2060.5367490.9265020.463251
2070.497560.995120.50244
2080.4534140.9068270.546586
2090.4234050.846810.576595
2100.3897240.7794480.610276
2110.3493330.6986660.650667
2120.3182670.6365340.681733
2130.3723110.7446220.627689
2140.3517180.7034360.648282
2150.3092050.618410.690795
2160.273770.5475410.72623
2170.244010.488020.75599
2180.2748460.5496920.725154
2190.2471120.4942250.752888
2200.224930.4498590.77507
2210.1943540.3887080.805646
2220.2074070.4148150.792593
2230.1724990.3449980.827501
2240.1488110.2976210.851189
2250.2161930.4323870.783807
2260.1990390.3980790.800961
2270.1767250.353450.823275
2280.1865710.3731410.813429
2290.1530020.3060030.846998
2300.1222710.2445420.877729
2310.1217780.2435550.878222
2320.2681010.5362030.731899
2330.2269220.4538450.773078
2340.3474950.6949910.652505
2350.2976170.5952330.702383
2360.3022530.6045060.697747
2370.2639050.527810.736095
2380.3545050.709010.645495
2390.3004480.6008970.699552
2400.4743330.9486660.525667
2410.548150.9036990.45185
2420.4705930.9411860.529407
2430.3957260.7914530.604274
2440.3840880.7681760.615912
2450.4107670.8215340.589233
2460.6336160.7327680.366384
2470.6324980.7350040.367502
2480.5703890.8592210.429611
2490.7792390.4415220.220761
2500.7280640.5438730.271936
2510.7072690.5854610.292731
2520.8146080.3707840.185392
2530.7233810.5532390.276619






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level80.0329218OK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 0 & 0 & OK \tabularnewline
10% type I error level & 8 & 0.0329218 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=228964&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]8[/C][C]0.0329218[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=228964&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=228964&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level80.0329218OK


Figures (Output of Computation)

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