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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 18 Nov 2013 12:53:11 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Nov/18/t13847972511flh1qqycg3ugfe.htm/, Retrieved Sat, 27 Apr 2024 08:48:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=226193, Retrieved Sat, 27 Apr 2024 08:48:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact65

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [time effect in su...] [2010-11-17 08:55:33] [b98453cac15ba1066b407e146608df68]
- RMPD    [Multiple Regression] [WS7 Happiness Month] [2013-11-18 17:53:11] [2e4b2f9d3944a9ae720fcdd8099335ae] [Current]
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Dataset

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

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=226193&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=226193&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226193&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
Happiness[t] = + 19.1479 + 0.00727537Connected[t] + 0.0159679Separate[t] + 0.0336894Software[t] -0.368687Depression[t] + 0.0193044Sport1[t] + 0.0117743Sport2[t] -0.357276Month[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Happiness[t] =  +  19.1479 +  0.00727537Connected[t] +  0.0159679Separate[t] +  0.0336894Software[t] -0.368687Depression[t] +  0.0193044Sport1[t] +  0.0117743Sport2[t] -0.357276Month[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226193&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Happiness[t] =  +  19.1479 +  0.00727537Connected[t] +  0.0159679Separate[t] +  0.0336894Software[t] -0.368687Depression[t] +  0.0193044Sport1[t] +  0.0117743Sport2[t] -0.357276Month[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226193&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226193&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 19.1479 + 0.00727537Connected[t] + 0.0159679Separate[t] + 0.0336894Software[t] -0.368687Depression[t] + 0.0193044Sport1[t] + 0.0117743Sport2[t] -0.357276Month[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)19.14792.561847.4741.23171e-126.15854e-13
Connected0.007275370.03755040.19370.8465260.423263
Separate0.01596790.03810620.4190.6755410.33777
Software0.03368940.05697860.59130.5548650.277433
Depression-0.3686870.0396411-9.3016.44569e-183.22284e-18
Sport10.01930440.04078790.47330.6364120.318206
Sport20.01177430.06060780.19430.8461180.423059
Month-0.3572760.170901-2.0910.03755540.0187777

\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) & 19.1479 & 2.56184 & 7.474 & 1.23171e-12 & 6.15854e-13 \tabularnewline
Connected & 0.00727537 & 0.0375504 & 0.1937 & 0.846526 & 0.423263 \tabularnewline
Separate & 0.0159679 & 0.0381062 & 0.419 & 0.675541 & 0.33777 \tabularnewline
Software & 0.0336894 & 0.0569786 & 0.5913 & 0.554865 & 0.277433 \tabularnewline
Depression & -0.368687 & 0.0396411 & -9.301 & 6.44569e-18 & 3.22284e-18 \tabularnewline
Sport1 & 0.0193044 & 0.0407879 & 0.4733 & 0.636412 & 0.318206 \tabularnewline
Sport2 & 0.0117743 & 0.0606078 & 0.1943 & 0.846118 & 0.423059 \tabularnewline
Month & -0.357276 & 0.170901 & -2.091 & 0.0375554 & 0.0187777 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226193&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]19.1479[/C][C]2.56184[/C][C]7.474[/C][C]1.23171e-12[/C][C]6.15854e-13[/C][/ROW]
[ROW][C]Connected[/C][C]0.00727537[/C][C]0.0375504[/C][C]0.1937[/C][C]0.846526[/C][C]0.423263[/C][/ROW]
[ROW][C]Separate[/C][C]0.0159679[/C][C]0.0381062[/C][C]0.419[/C][C]0.675541[/C][C]0.33777[/C][/ROW]
[ROW][C]Software[/C][C]0.0336894[/C][C]0.0569786[/C][C]0.5913[/C][C]0.554865[/C][C]0.277433[/C][/ROW]
[ROW][C]Depression[/C][C]-0.368687[/C][C]0.0396411[/C][C]-9.301[/C][C]6.44569e-18[/C][C]3.22284e-18[/C][/ROW]
[ROW][C]Sport1[/C][C]0.0193044[/C][C]0.0407879[/C][C]0.4733[/C][C]0.636412[/C][C]0.318206[/C][/ROW]
[ROW][C]Sport2[/C][C]0.0117743[/C][C]0.0606078[/C][C]0.1943[/C][C]0.846118[/C][C]0.423059[/C][/ROW]
[ROW][C]Month[/C][C]-0.357276[/C][C]0.170901[/C][C]-2.091[/C][C]0.0375554[/C][C]0.0187777[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226193&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226193&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)19.14792.561847.4741.23171e-126.15854e-13
Connected0.007275370.03755040.19370.8465260.423263
Separate0.01596790.03810620.4190.6755410.33777
Software0.03368940.05697860.59130.5548650.277433
Depression-0.3686870.0396411-9.3016.44569e-183.22284e-18
Sport10.01930440.04078790.47330.6364120.318206
Sport20.01177430.06060780.19430.8461180.423059
Month-0.3572760.170901-2.0910.03755540.0187777






Multiple Linear Regression - Regression Statistics
Multiple R0.605858
R-squared0.367064
Adjusted R-squared0.349757
F-TEST (value)21.2092
F-TEST (DF numerator)7
F-TEST (DF denominator)256
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.01485
Sum Squared Residuals1039.26

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.605858 \tabularnewline
R-squared & 0.367064 \tabularnewline
Adjusted R-squared & 0.349757 \tabularnewline
F-TEST (value) & 21.2092 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 256 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.01485 \tabularnewline
Sum Squared Residuals & 1039.26 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226193&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.605858[/C][/ROW]
[ROW][C]R-squared[/C][C]0.367064[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.349757[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]21.2092[/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]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.01485[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1039.26[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226193&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226193&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 R0.605858
R-squared0.367064
Adjusted R-squared0.349757
F-TEST (value)21.2092
F-TEST (DF numerator)7
F-TEST (DF denominator)256
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.01485
Sum Squared Residuals1039.26






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11414.2174-0.217376
21815.24492.75514
31113.8218-2.82184
41214.2389-2.23888
51611.47484.52517
61814.62193.37814
71410.46313.53695
81415.292-1.29196
91515.4289-0.428927
101514.33910.660865
111715.45581.54415
121915.6233.37705
131013.4296-3.42959
141613.46282.53716
151815.88532.11474
161413.47830.521696
171413.85820.141798
181715.49891.50108
191415.2248-1.22483
201613.81172.18828
211815.3172.68299
221113.7263-2.72633
231414.2676-0.267594
241213.55-1.54996
251715.34821.65176
26915.9592-6.95915
271615.00790.992078
281413.55470.445315
291513.97761.02236
301114.0621-3.0621
311615.86030.139711
321312.810.190026
331715.22351.77651
341515.3766-0.376638
351414.1932-0.193153
361615.86710.132871
37911.2196-2.21965
381514.57820.421844
391715.29711.70287
401315.1905-2.19049
411515.6896-0.689607
421613.91522.08478
431615.70660.293363
441213.2581-1.25805
451514.76380.236208
461114.1554-3.15544
471515.7124-0.712438
481515.0198-0.0198355
491713.56443.43562
501315.0462-2.04619
511615.46470.535275
521413.58390.416142
531112.1119-1.11185
541213.8013-1.80134
551214.4291-2.42909
561513.63711.36287
571614.32871.67128
581515.5603-0.560265
591215.3756-3.37563
601213.3941-1.3941
61810.8597-2.85973
621314.748-1.74805
631114.8955-3.89553
641413.29460.705423
651513.71711.28293
661014.9242-4.92424
671112.3685-1.36846
681214.0628-2.06279
691513.77251.22751
701513.48971.51028
711413.71440.285554
721612.67873.32132
731514.25270.747257
741515.094-0.0939944
751314.8126-1.81258
761211.75730.242689
771713.93773.06228
781312.27040.729565
791513.9251.07502
801314.7925-1.79249
811514.80540.194598
821515.4071-0.407085
831614.26681.73324
841514.20510.794865
851413.8940.106025
861513.96221.03775
871414.1646-0.164638
881312.6020.397994
89710.4929-3.49288
901713.83663.16342
911312.7540.245998
921514.12380.87619
931413.27710.722903
941314.1585-1.15854
951614.81281.18725
961212.7804-0.780424
971414.6197-0.61974
981714.86472.13528
991515.0415-0.0415213
1001715.20821.79184
1011212.8138-0.813811
1021614.7621.23795
1031114.3386-3.33864
1041512.9882.01204
105911.5717-2.57174
1061614.77971.22033
1071512.87832.12168
1081012.6671-2.66715
109109.187150.812846
1101513.83211.16795
1111113.2155-2.21551
1121315.124-2.12398
1131412.03821.96179
1141814.32043.67964
1151615.39060.609441
1161413.16120.838773
1171413.74920.250784
1181415.253-1.25298
1191413.68530.314652
1201212.6773-0.677258
1211413.51690.483144
1221515.1769-0.17692
1231515.9937-0.99374
1241514.65350.346523
1251314.8558-1.85579
1261716.14220.857819
1271715.14831.85174
1281914.82544.17464
1291513.84231.15769
1301314.4813-1.48131
131911.0317-2.03168
1321515.0676-0.0676176
1331512.81662.1834
1341514.40120.59877
1351613.77852.22146
136119.384491.61551
1371413.3010.699008
1381112.2447-1.24467
1391514.2930.706952
1401314.0532-1.05321
1411514.36440.635555
1421613.74782.25219
1431414.7175-0.71754
1441514.14230.857717
1451614.94071.05926
1461614.27331.72672
1471113.6289-2.62888
1481214.6411-2.64107
149911.5897-2.58969
1501614.55081.44921
1511312.72020.279809
1521615.26760.732388
1531214.1384-2.13835
154911.8545-2.8545
1551312.04960.950436
1561312.7540.245998
1571413.27750.722469
1581914.82544.17464
1591315.6079-2.60788
1601212.2581-0.258116
1611312.64140.358558
162109.098210.901793
1631413.08350.91654
1641611.29084.70919
1651011.6847-1.68466
166119.092161.90784
1671413.98030.0197366
1681212.9954-0.99542
169912.7489-3.74891
170911.6649-2.66494
1711110.23880.761217
1721613.95862.04145
173914.0468-5.04676
1741311.34721.6528
1751613.44622.55384
1761315.0857-2.08571
177912.2035-3.20346
1781211.39670.6033
1791614.36451.63548
1801113.1497-2.14972
1811413.83430.165724
1821314.6116-1.61158
1831514.33740.662645
1841414.8322-0.83217
1851614.53941.46063
1861311.40991.59011
1871413.16640.833579
1881514.09990.900115
1891312.33850.6615
1901110.08830.911743
1911112.4999-1.4999
1921414.8163-0.816295
1931512.37492.62515
1941112.2145-1.21447
1951513.04491.95514
1961213.9432-1.94319
1971411.34852.65145
1981413.22620.773799
199810.9155-2.91552
2001313.5338-0.533795
201911.9018-2.90178
2021513.58711.41292
2031714.15022.84982
2041312.67330.326658
2051514.1110.889022
2061513.5761.42396
2071414.2981-0.298063
2081612.29013.7099
2091313.0513-0.0513204
2101614.11511.88495
211911.8352-2.83516
2121614.8131.18699
2131112.1229-1.12289
2141013.5256-3.52562
2151111.9323-0.932289
2161513.10221.89778
2171714.58492.41506
2181414.1716-0.171639
21989.79845-1.79845
2201513.54041.45965
2211113.9882-2.98817
2221613.46642.53357
2231012.0135-2.01345
2241514.84730.152671
22599.46388-0.463885
2261614.58811.4119
2271913.66665.33335
2281213.4963-1.49627
22989.58413-1.58413
2301113.3919-2.39193
2311413.5990.400988
232912.314-3.31405
2331514.4210.578984
2341312.17860.821448
2351614.90281.09716
2361113.0076-2.00761
2371211.95630.0436542
2381312.8760.124026
2391014.1687-4.16873
2401113.6856-2.68561
2411214.8307-2.83069
242810.8203-2.82032
2431211.60250.397543
2441212.0476-0.047599
2451513.36431.63572
2461110.710.290024
2471312.60140.398605
248149.004954.99505
2491010.0921-0.0920688
2501211.47050.529471
2511512.90632.09371
2521311.99621.00384
2531314.0579-1.0579
2541313.3989-0.398907
2551211.91390.0860735
2561212.6321-0.632085
257910.6792-1.67924
258911.2553-2.25532
2591512.64632.35367
2601015.3176-5.31759
2611413.52250.477471
2621513.84741.15257
26379.86446-2.86446
2641413.71490.285056

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 14 & 14.2174 & -0.217376 \tabularnewline
2 & 18 & 15.2449 & 2.75514 \tabularnewline
3 & 11 & 13.8218 & -2.82184 \tabularnewline
4 & 12 & 14.2389 & -2.23888 \tabularnewline
5 & 16 & 11.4748 & 4.52517 \tabularnewline
6 & 18 & 14.6219 & 3.37814 \tabularnewline
7 & 14 & 10.4631 & 3.53695 \tabularnewline
8 & 14 & 15.292 & -1.29196 \tabularnewline
9 & 15 & 15.4289 & -0.428927 \tabularnewline
10 & 15 & 14.3391 & 0.660865 \tabularnewline
11 & 17 & 15.4558 & 1.54415 \tabularnewline
12 & 19 & 15.623 & 3.37705 \tabularnewline
13 & 10 & 13.4296 & -3.42959 \tabularnewline
14 & 16 & 13.4628 & 2.53716 \tabularnewline
15 & 18 & 15.8853 & 2.11474 \tabularnewline
16 & 14 & 13.4783 & 0.521696 \tabularnewline
17 & 14 & 13.8582 & 0.141798 \tabularnewline
18 & 17 & 15.4989 & 1.50108 \tabularnewline
19 & 14 & 15.2248 & -1.22483 \tabularnewline
20 & 16 & 13.8117 & 2.18828 \tabularnewline
21 & 18 & 15.317 & 2.68299 \tabularnewline
22 & 11 & 13.7263 & -2.72633 \tabularnewline
23 & 14 & 14.2676 & -0.267594 \tabularnewline
24 & 12 & 13.55 & -1.54996 \tabularnewline
25 & 17 & 15.3482 & 1.65176 \tabularnewline
26 & 9 & 15.9592 & -6.95915 \tabularnewline
27 & 16 & 15.0079 & 0.992078 \tabularnewline
28 & 14 & 13.5547 & 0.445315 \tabularnewline
29 & 15 & 13.9776 & 1.02236 \tabularnewline
30 & 11 & 14.0621 & -3.0621 \tabularnewline
31 & 16 & 15.8603 & 0.139711 \tabularnewline
32 & 13 & 12.81 & 0.190026 \tabularnewline
33 & 17 & 15.2235 & 1.77651 \tabularnewline
34 & 15 & 15.3766 & -0.376638 \tabularnewline
35 & 14 & 14.1932 & -0.193153 \tabularnewline
36 & 16 & 15.8671 & 0.132871 \tabularnewline
37 & 9 & 11.2196 & -2.21965 \tabularnewline
38 & 15 & 14.5782 & 0.421844 \tabularnewline
39 & 17 & 15.2971 & 1.70287 \tabularnewline
40 & 13 & 15.1905 & -2.19049 \tabularnewline
41 & 15 & 15.6896 & -0.689607 \tabularnewline
42 & 16 & 13.9152 & 2.08478 \tabularnewline
43 & 16 & 15.7066 & 0.293363 \tabularnewline
44 & 12 & 13.2581 & -1.25805 \tabularnewline
45 & 15 & 14.7638 & 0.236208 \tabularnewline
46 & 11 & 14.1554 & -3.15544 \tabularnewline
47 & 15 & 15.7124 & -0.712438 \tabularnewline
48 & 15 & 15.0198 & -0.0198355 \tabularnewline
49 & 17 & 13.5644 & 3.43562 \tabularnewline
50 & 13 & 15.0462 & -2.04619 \tabularnewline
51 & 16 & 15.4647 & 0.535275 \tabularnewline
52 & 14 & 13.5839 & 0.416142 \tabularnewline
53 & 11 & 12.1119 & -1.11185 \tabularnewline
54 & 12 & 13.8013 & -1.80134 \tabularnewline
55 & 12 & 14.4291 & -2.42909 \tabularnewline
56 & 15 & 13.6371 & 1.36287 \tabularnewline
57 & 16 & 14.3287 & 1.67128 \tabularnewline
58 & 15 & 15.5603 & -0.560265 \tabularnewline
59 & 12 & 15.3756 & -3.37563 \tabularnewline
60 & 12 & 13.3941 & -1.3941 \tabularnewline
61 & 8 & 10.8597 & -2.85973 \tabularnewline
62 & 13 & 14.748 & -1.74805 \tabularnewline
63 & 11 & 14.8955 & -3.89553 \tabularnewline
64 & 14 & 13.2946 & 0.705423 \tabularnewline
65 & 15 & 13.7171 & 1.28293 \tabularnewline
66 & 10 & 14.9242 & -4.92424 \tabularnewline
67 & 11 & 12.3685 & -1.36846 \tabularnewline
68 & 12 & 14.0628 & -2.06279 \tabularnewline
69 & 15 & 13.7725 & 1.22751 \tabularnewline
70 & 15 & 13.4897 & 1.51028 \tabularnewline
71 & 14 & 13.7144 & 0.285554 \tabularnewline
72 & 16 & 12.6787 & 3.32132 \tabularnewline
73 & 15 & 14.2527 & 0.747257 \tabularnewline
74 & 15 & 15.094 & -0.0939944 \tabularnewline
75 & 13 & 14.8126 & -1.81258 \tabularnewline
76 & 12 & 11.7573 & 0.242689 \tabularnewline
77 & 17 & 13.9377 & 3.06228 \tabularnewline
78 & 13 & 12.2704 & 0.729565 \tabularnewline
79 & 15 & 13.925 & 1.07502 \tabularnewline
80 & 13 & 14.7925 & -1.79249 \tabularnewline
81 & 15 & 14.8054 & 0.194598 \tabularnewline
82 & 15 & 15.4071 & -0.407085 \tabularnewline
83 & 16 & 14.2668 & 1.73324 \tabularnewline
84 & 15 & 14.2051 & 0.794865 \tabularnewline
85 & 14 & 13.894 & 0.106025 \tabularnewline
86 & 15 & 13.9622 & 1.03775 \tabularnewline
87 & 14 & 14.1646 & -0.164638 \tabularnewline
88 & 13 & 12.602 & 0.397994 \tabularnewline
89 & 7 & 10.4929 & -3.49288 \tabularnewline
90 & 17 & 13.8366 & 3.16342 \tabularnewline
91 & 13 & 12.754 & 0.245998 \tabularnewline
92 & 15 & 14.1238 & 0.87619 \tabularnewline
93 & 14 & 13.2771 & 0.722903 \tabularnewline
94 & 13 & 14.1585 & -1.15854 \tabularnewline
95 & 16 & 14.8128 & 1.18725 \tabularnewline
96 & 12 & 12.7804 & -0.780424 \tabularnewline
97 & 14 & 14.6197 & -0.61974 \tabularnewline
98 & 17 & 14.8647 & 2.13528 \tabularnewline
99 & 15 & 15.0415 & -0.0415213 \tabularnewline
100 & 17 & 15.2082 & 1.79184 \tabularnewline
101 & 12 & 12.8138 & -0.813811 \tabularnewline
102 & 16 & 14.762 & 1.23795 \tabularnewline
103 & 11 & 14.3386 & -3.33864 \tabularnewline
104 & 15 & 12.988 & 2.01204 \tabularnewline
105 & 9 & 11.5717 & -2.57174 \tabularnewline
106 & 16 & 14.7797 & 1.22033 \tabularnewline
107 & 15 & 12.8783 & 2.12168 \tabularnewline
108 & 10 & 12.6671 & -2.66715 \tabularnewline
109 & 10 & 9.18715 & 0.812846 \tabularnewline
110 & 15 & 13.8321 & 1.16795 \tabularnewline
111 & 11 & 13.2155 & -2.21551 \tabularnewline
112 & 13 & 15.124 & -2.12398 \tabularnewline
113 & 14 & 12.0382 & 1.96179 \tabularnewline
114 & 18 & 14.3204 & 3.67964 \tabularnewline
115 & 16 & 15.3906 & 0.609441 \tabularnewline
116 & 14 & 13.1612 & 0.838773 \tabularnewline
117 & 14 & 13.7492 & 0.250784 \tabularnewline
118 & 14 & 15.253 & -1.25298 \tabularnewline
119 & 14 & 13.6853 & 0.314652 \tabularnewline
120 & 12 & 12.6773 & -0.677258 \tabularnewline
121 & 14 & 13.5169 & 0.483144 \tabularnewline
122 & 15 & 15.1769 & -0.17692 \tabularnewline
123 & 15 & 15.9937 & -0.99374 \tabularnewline
124 & 15 & 14.6535 & 0.346523 \tabularnewline
125 & 13 & 14.8558 & -1.85579 \tabularnewline
126 & 17 & 16.1422 & 0.857819 \tabularnewline
127 & 17 & 15.1483 & 1.85174 \tabularnewline
128 & 19 & 14.8254 & 4.17464 \tabularnewline
129 & 15 & 13.8423 & 1.15769 \tabularnewline
130 & 13 & 14.4813 & -1.48131 \tabularnewline
131 & 9 & 11.0317 & -2.03168 \tabularnewline
132 & 15 & 15.0676 & -0.0676176 \tabularnewline
133 & 15 & 12.8166 & 2.1834 \tabularnewline
134 & 15 & 14.4012 & 0.59877 \tabularnewline
135 & 16 & 13.7785 & 2.22146 \tabularnewline
136 & 11 & 9.38449 & 1.61551 \tabularnewline
137 & 14 & 13.301 & 0.699008 \tabularnewline
138 & 11 & 12.2447 & -1.24467 \tabularnewline
139 & 15 & 14.293 & 0.706952 \tabularnewline
140 & 13 & 14.0532 & -1.05321 \tabularnewline
141 & 15 & 14.3644 & 0.635555 \tabularnewline
142 & 16 & 13.7478 & 2.25219 \tabularnewline
143 & 14 & 14.7175 & -0.71754 \tabularnewline
144 & 15 & 14.1423 & 0.857717 \tabularnewline
145 & 16 & 14.9407 & 1.05926 \tabularnewline
146 & 16 & 14.2733 & 1.72672 \tabularnewline
147 & 11 & 13.6289 & -2.62888 \tabularnewline
148 & 12 & 14.6411 & -2.64107 \tabularnewline
149 & 9 & 11.5897 & -2.58969 \tabularnewline
150 & 16 & 14.5508 & 1.44921 \tabularnewline
151 & 13 & 12.7202 & 0.279809 \tabularnewline
152 & 16 & 15.2676 & 0.732388 \tabularnewline
153 & 12 & 14.1384 & -2.13835 \tabularnewline
154 & 9 & 11.8545 & -2.8545 \tabularnewline
155 & 13 & 12.0496 & 0.950436 \tabularnewline
156 & 13 & 12.754 & 0.245998 \tabularnewline
157 & 14 & 13.2775 & 0.722469 \tabularnewline
158 & 19 & 14.8254 & 4.17464 \tabularnewline
159 & 13 & 15.6079 & -2.60788 \tabularnewline
160 & 12 & 12.2581 & -0.258116 \tabularnewline
161 & 13 & 12.6414 & 0.358558 \tabularnewline
162 & 10 & 9.09821 & 0.901793 \tabularnewline
163 & 14 & 13.0835 & 0.91654 \tabularnewline
164 & 16 & 11.2908 & 4.70919 \tabularnewline
165 & 10 & 11.6847 & -1.68466 \tabularnewline
166 & 11 & 9.09216 & 1.90784 \tabularnewline
167 & 14 & 13.9803 & 0.0197366 \tabularnewline
168 & 12 & 12.9954 & -0.99542 \tabularnewline
169 & 9 & 12.7489 & -3.74891 \tabularnewline
170 & 9 & 11.6649 & -2.66494 \tabularnewline
171 & 11 & 10.2388 & 0.761217 \tabularnewline
172 & 16 & 13.9586 & 2.04145 \tabularnewline
173 & 9 & 14.0468 & -5.04676 \tabularnewline
174 & 13 & 11.3472 & 1.6528 \tabularnewline
175 & 16 & 13.4462 & 2.55384 \tabularnewline
176 & 13 & 15.0857 & -2.08571 \tabularnewline
177 & 9 & 12.2035 & -3.20346 \tabularnewline
178 & 12 & 11.3967 & 0.6033 \tabularnewline
179 & 16 & 14.3645 & 1.63548 \tabularnewline
180 & 11 & 13.1497 & -2.14972 \tabularnewline
181 & 14 & 13.8343 & 0.165724 \tabularnewline
182 & 13 & 14.6116 & -1.61158 \tabularnewline
183 & 15 & 14.3374 & 0.662645 \tabularnewline
184 & 14 & 14.8322 & -0.83217 \tabularnewline
185 & 16 & 14.5394 & 1.46063 \tabularnewline
186 & 13 & 11.4099 & 1.59011 \tabularnewline
187 & 14 & 13.1664 & 0.833579 \tabularnewline
188 & 15 & 14.0999 & 0.900115 \tabularnewline
189 & 13 & 12.3385 & 0.6615 \tabularnewline
190 & 11 & 10.0883 & 0.911743 \tabularnewline
191 & 11 & 12.4999 & -1.4999 \tabularnewline
192 & 14 & 14.8163 & -0.816295 \tabularnewline
193 & 15 & 12.3749 & 2.62515 \tabularnewline
194 & 11 & 12.2145 & -1.21447 \tabularnewline
195 & 15 & 13.0449 & 1.95514 \tabularnewline
196 & 12 & 13.9432 & -1.94319 \tabularnewline
197 & 14 & 11.3485 & 2.65145 \tabularnewline
198 & 14 & 13.2262 & 0.773799 \tabularnewline
199 & 8 & 10.9155 & -2.91552 \tabularnewline
200 & 13 & 13.5338 & -0.533795 \tabularnewline
201 & 9 & 11.9018 & -2.90178 \tabularnewline
202 & 15 & 13.5871 & 1.41292 \tabularnewline
203 & 17 & 14.1502 & 2.84982 \tabularnewline
204 & 13 & 12.6733 & 0.326658 \tabularnewline
205 & 15 & 14.111 & 0.889022 \tabularnewline
206 & 15 & 13.576 & 1.42396 \tabularnewline
207 & 14 & 14.2981 & -0.298063 \tabularnewline
208 & 16 & 12.2901 & 3.7099 \tabularnewline
209 & 13 & 13.0513 & -0.0513204 \tabularnewline
210 & 16 & 14.1151 & 1.88495 \tabularnewline
211 & 9 & 11.8352 & -2.83516 \tabularnewline
212 & 16 & 14.813 & 1.18699 \tabularnewline
213 & 11 & 12.1229 & -1.12289 \tabularnewline
214 & 10 & 13.5256 & -3.52562 \tabularnewline
215 & 11 & 11.9323 & -0.932289 \tabularnewline
216 & 15 & 13.1022 & 1.89778 \tabularnewline
217 & 17 & 14.5849 & 2.41506 \tabularnewline
218 & 14 & 14.1716 & -0.171639 \tabularnewline
219 & 8 & 9.79845 & -1.79845 \tabularnewline
220 & 15 & 13.5404 & 1.45965 \tabularnewline
221 & 11 & 13.9882 & -2.98817 \tabularnewline
222 & 16 & 13.4664 & 2.53357 \tabularnewline
223 & 10 & 12.0135 & -2.01345 \tabularnewline
224 & 15 & 14.8473 & 0.152671 \tabularnewline
225 & 9 & 9.46388 & -0.463885 \tabularnewline
226 & 16 & 14.5881 & 1.4119 \tabularnewline
227 & 19 & 13.6666 & 5.33335 \tabularnewline
228 & 12 & 13.4963 & -1.49627 \tabularnewline
229 & 8 & 9.58413 & -1.58413 \tabularnewline
230 & 11 & 13.3919 & -2.39193 \tabularnewline
231 & 14 & 13.599 & 0.400988 \tabularnewline
232 & 9 & 12.314 & -3.31405 \tabularnewline
233 & 15 & 14.421 & 0.578984 \tabularnewline
234 & 13 & 12.1786 & 0.821448 \tabularnewline
235 & 16 & 14.9028 & 1.09716 \tabularnewline
236 & 11 & 13.0076 & -2.00761 \tabularnewline
237 & 12 & 11.9563 & 0.0436542 \tabularnewline
238 & 13 & 12.876 & 0.124026 \tabularnewline
239 & 10 & 14.1687 & -4.16873 \tabularnewline
240 & 11 & 13.6856 & -2.68561 \tabularnewline
241 & 12 & 14.8307 & -2.83069 \tabularnewline
242 & 8 & 10.8203 & -2.82032 \tabularnewline
243 & 12 & 11.6025 & 0.397543 \tabularnewline
244 & 12 & 12.0476 & -0.047599 \tabularnewline
245 & 15 & 13.3643 & 1.63572 \tabularnewline
246 & 11 & 10.71 & 0.290024 \tabularnewline
247 & 13 & 12.6014 & 0.398605 \tabularnewline
248 & 14 & 9.00495 & 4.99505 \tabularnewline
249 & 10 & 10.0921 & -0.0920688 \tabularnewline
250 & 12 & 11.4705 & 0.529471 \tabularnewline
251 & 15 & 12.9063 & 2.09371 \tabularnewline
252 & 13 & 11.9962 & 1.00384 \tabularnewline
253 & 13 & 14.0579 & -1.0579 \tabularnewline
254 & 13 & 13.3989 & -0.398907 \tabularnewline
255 & 12 & 11.9139 & 0.0860735 \tabularnewline
256 & 12 & 12.6321 & -0.632085 \tabularnewline
257 & 9 & 10.6792 & -1.67924 \tabularnewline
258 & 9 & 11.2553 & -2.25532 \tabularnewline
259 & 15 & 12.6463 & 2.35367 \tabularnewline
260 & 10 & 15.3176 & -5.31759 \tabularnewline
261 & 14 & 13.5225 & 0.477471 \tabularnewline
262 & 15 & 13.8474 & 1.15257 \tabularnewline
263 & 7 & 9.86446 & -2.86446 \tabularnewline
264 & 14 & 13.7149 & 0.285056 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226193&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]14[/C][C]14.2174[/C][C]-0.217376[/C][/ROW]
[ROW][C]2[/C][C]18[/C][C]15.2449[/C][C]2.75514[/C][/ROW]
[ROW][C]3[/C][C]11[/C][C]13.8218[/C][C]-2.82184[/C][/ROW]
[ROW][C]4[/C][C]12[/C][C]14.2389[/C][C]-2.23888[/C][/ROW]
[ROW][C]5[/C][C]16[/C][C]11.4748[/C][C]4.52517[/C][/ROW]
[ROW][C]6[/C][C]18[/C][C]14.6219[/C][C]3.37814[/C][/ROW]
[ROW][C]7[/C][C]14[/C][C]10.4631[/C][C]3.53695[/C][/ROW]
[ROW][C]8[/C][C]14[/C][C]15.292[/C][C]-1.29196[/C][/ROW]
[ROW][C]9[/C][C]15[/C][C]15.4289[/C][C]-0.428927[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]14.3391[/C][C]0.660865[/C][/ROW]
[ROW][C]11[/C][C]17[/C][C]15.4558[/C][C]1.54415[/C][/ROW]
[ROW][C]12[/C][C]19[/C][C]15.623[/C][C]3.37705[/C][/ROW]
[ROW][C]13[/C][C]10[/C][C]13.4296[/C][C]-3.42959[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]13.4628[/C][C]2.53716[/C][/ROW]
[ROW][C]15[/C][C]18[/C][C]15.8853[/C][C]2.11474[/C][/ROW]
[ROW][C]16[/C][C]14[/C][C]13.4783[/C][C]0.521696[/C][/ROW]
[ROW][C]17[/C][C]14[/C][C]13.8582[/C][C]0.141798[/C][/ROW]
[ROW][C]18[/C][C]17[/C][C]15.4989[/C][C]1.50108[/C][/ROW]
[ROW][C]19[/C][C]14[/C][C]15.2248[/C][C]-1.22483[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]13.8117[/C][C]2.18828[/C][/ROW]
[ROW][C]21[/C][C]18[/C][C]15.317[/C][C]2.68299[/C][/ROW]
[ROW][C]22[/C][C]11[/C][C]13.7263[/C][C]-2.72633[/C][/ROW]
[ROW][C]23[/C][C]14[/C][C]14.2676[/C][C]-0.267594[/C][/ROW]
[ROW][C]24[/C][C]12[/C][C]13.55[/C][C]-1.54996[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]15.3482[/C][C]1.65176[/C][/ROW]
[ROW][C]26[/C][C]9[/C][C]15.9592[/C][C]-6.95915[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]15.0079[/C][C]0.992078[/C][/ROW]
[ROW][C]28[/C][C]14[/C][C]13.5547[/C][C]0.445315[/C][/ROW]
[ROW][C]29[/C][C]15[/C][C]13.9776[/C][C]1.02236[/C][/ROW]
[ROW][C]30[/C][C]11[/C][C]14.0621[/C][C]-3.0621[/C][/ROW]
[ROW][C]31[/C][C]16[/C][C]15.8603[/C][C]0.139711[/C][/ROW]
[ROW][C]32[/C][C]13[/C][C]12.81[/C][C]0.190026[/C][/ROW]
[ROW][C]33[/C][C]17[/C][C]15.2235[/C][C]1.77651[/C][/ROW]
[ROW][C]34[/C][C]15[/C][C]15.3766[/C][C]-0.376638[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]14.1932[/C][C]-0.193153[/C][/ROW]
[ROW][C]36[/C][C]16[/C][C]15.8671[/C][C]0.132871[/C][/ROW]
[ROW][C]37[/C][C]9[/C][C]11.2196[/C][C]-2.21965[/C][/ROW]
[ROW][C]38[/C][C]15[/C][C]14.5782[/C][C]0.421844[/C][/ROW]
[ROW][C]39[/C][C]17[/C][C]15.2971[/C][C]1.70287[/C][/ROW]
[ROW][C]40[/C][C]13[/C][C]15.1905[/C][C]-2.19049[/C][/ROW]
[ROW][C]41[/C][C]15[/C][C]15.6896[/C][C]-0.689607[/C][/ROW]
[ROW][C]42[/C][C]16[/C][C]13.9152[/C][C]2.08478[/C][/ROW]
[ROW][C]43[/C][C]16[/C][C]15.7066[/C][C]0.293363[/C][/ROW]
[ROW][C]44[/C][C]12[/C][C]13.2581[/C][C]-1.25805[/C][/ROW]
[ROW][C]45[/C][C]15[/C][C]14.7638[/C][C]0.236208[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]14.1554[/C][C]-3.15544[/C][/ROW]
[ROW][C]47[/C][C]15[/C][C]15.7124[/C][C]-0.712438[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]15.0198[/C][C]-0.0198355[/C][/ROW]
[ROW][C]49[/C][C]17[/C][C]13.5644[/C][C]3.43562[/C][/ROW]
[ROW][C]50[/C][C]13[/C][C]15.0462[/C][C]-2.04619[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]15.4647[/C][C]0.535275[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]13.5839[/C][C]0.416142[/C][/ROW]
[ROW][C]53[/C][C]11[/C][C]12.1119[/C][C]-1.11185[/C][/ROW]
[ROW][C]54[/C][C]12[/C][C]13.8013[/C][C]-1.80134[/C][/ROW]
[ROW][C]55[/C][C]12[/C][C]14.4291[/C][C]-2.42909[/C][/ROW]
[ROW][C]56[/C][C]15[/C][C]13.6371[/C][C]1.36287[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]14.3287[/C][C]1.67128[/C][/ROW]
[ROW][C]58[/C][C]15[/C][C]15.5603[/C][C]-0.560265[/C][/ROW]
[ROW][C]59[/C][C]12[/C][C]15.3756[/C][C]-3.37563[/C][/ROW]
[ROW][C]60[/C][C]12[/C][C]13.3941[/C][C]-1.3941[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]10.8597[/C][C]-2.85973[/C][/ROW]
[ROW][C]62[/C][C]13[/C][C]14.748[/C][C]-1.74805[/C][/ROW]
[ROW][C]63[/C][C]11[/C][C]14.8955[/C][C]-3.89553[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]13.2946[/C][C]0.705423[/C][/ROW]
[ROW][C]65[/C][C]15[/C][C]13.7171[/C][C]1.28293[/C][/ROW]
[ROW][C]66[/C][C]10[/C][C]14.9242[/C][C]-4.92424[/C][/ROW]
[ROW][C]67[/C][C]11[/C][C]12.3685[/C][C]-1.36846[/C][/ROW]
[ROW][C]68[/C][C]12[/C][C]14.0628[/C][C]-2.06279[/C][/ROW]
[ROW][C]69[/C][C]15[/C][C]13.7725[/C][C]1.22751[/C][/ROW]
[ROW][C]70[/C][C]15[/C][C]13.4897[/C][C]1.51028[/C][/ROW]
[ROW][C]71[/C][C]14[/C][C]13.7144[/C][C]0.285554[/C][/ROW]
[ROW][C]72[/C][C]16[/C][C]12.6787[/C][C]3.32132[/C][/ROW]
[ROW][C]73[/C][C]15[/C][C]14.2527[/C][C]0.747257[/C][/ROW]
[ROW][C]74[/C][C]15[/C][C]15.094[/C][C]-0.0939944[/C][/ROW]
[ROW][C]75[/C][C]13[/C][C]14.8126[/C][C]-1.81258[/C][/ROW]
[ROW][C]76[/C][C]12[/C][C]11.7573[/C][C]0.242689[/C][/ROW]
[ROW][C]77[/C][C]17[/C][C]13.9377[/C][C]3.06228[/C][/ROW]
[ROW][C]78[/C][C]13[/C][C]12.2704[/C][C]0.729565[/C][/ROW]
[ROW][C]79[/C][C]15[/C][C]13.925[/C][C]1.07502[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]14.7925[/C][C]-1.79249[/C][/ROW]
[ROW][C]81[/C][C]15[/C][C]14.8054[/C][C]0.194598[/C][/ROW]
[ROW][C]82[/C][C]15[/C][C]15.4071[/C][C]-0.407085[/C][/ROW]
[ROW][C]83[/C][C]16[/C][C]14.2668[/C][C]1.73324[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]14.2051[/C][C]0.794865[/C][/ROW]
[ROW][C]85[/C][C]14[/C][C]13.894[/C][C]0.106025[/C][/ROW]
[ROW][C]86[/C][C]15[/C][C]13.9622[/C][C]1.03775[/C][/ROW]
[ROW][C]87[/C][C]14[/C][C]14.1646[/C][C]-0.164638[/C][/ROW]
[ROW][C]88[/C][C]13[/C][C]12.602[/C][C]0.397994[/C][/ROW]
[ROW][C]89[/C][C]7[/C][C]10.4929[/C][C]-3.49288[/C][/ROW]
[ROW][C]90[/C][C]17[/C][C]13.8366[/C][C]3.16342[/C][/ROW]
[ROW][C]91[/C][C]13[/C][C]12.754[/C][C]0.245998[/C][/ROW]
[ROW][C]92[/C][C]15[/C][C]14.1238[/C][C]0.87619[/C][/ROW]
[ROW][C]93[/C][C]14[/C][C]13.2771[/C][C]0.722903[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]14.1585[/C][C]-1.15854[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]14.8128[/C][C]1.18725[/C][/ROW]
[ROW][C]96[/C][C]12[/C][C]12.7804[/C][C]-0.780424[/C][/ROW]
[ROW][C]97[/C][C]14[/C][C]14.6197[/C][C]-0.61974[/C][/ROW]
[ROW][C]98[/C][C]17[/C][C]14.8647[/C][C]2.13528[/C][/ROW]
[ROW][C]99[/C][C]15[/C][C]15.0415[/C][C]-0.0415213[/C][/ROW]
[ROW][C]100[/C][C]17[/C][C]15.2082[/C][C]1.79184[/C][/ROW]
[ROW][C]101[/C][C]12[/C][C]12.8138[/C][C]-0.813811[/C][/ROW]
[ROW][C]102[/C][C]16[/C][C]14.762[/C][C]1.23795[/C][/ROW]
[ROW][C]103[/C][C]11[/C][C]14.3386[/C][C]-3.33864[/C][/ROW]
[ROW][C]104[/C][C]15[/C][C]12.988[/C][C]2.01204[/C][/ROW]
[ROW][C]105[/C][C]9[/C][C]11.5717[/C][C]-2.57174[/C][/ROW]
[ROW][C]106[/C][C]16[/C][C]14.7797[/C][C]1.22033[/C][/ROW]
[ROW][C]107[/C][C]15[/C][C]12.8783[/C][C]2.12168[/C][/ROW]
[ROW][C]108[/C][C]10[/C][C]12.6671[/C][C]-2.66715[/C][/ROW]
[ROW][C]109[/C][C]10[/C][C]9.18715[/C][C]0.812846[/C][/ROW]
[ROW][C]110[/C][C]15[/C][C]13.8321[/C][C]1.16795[/C][/ROW]
[ROW][C]111[/C][C]11[/C][C]13.2155[/C][C]-2.21551[/C][/ROW]
[ROW][C]112[/C][C]13[/C][C]15.124[/C][C]-2.12398[/C][/ROW]
[ROW][C]113[/C][C]14[/C][C]12.0382[/C][C]1.96179[/C][/ROW]
[ROW][C]114[/C][C]18[/C][C]14.3204[/C][C]3.67964[/C][/ROW]
[ROW][C]115[/C][C]16[/C][C]15.3906[/C][C]0.609441[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]13.1612[/C][C]0.838773[/C][/ROW]
[ROW][C]117[/C][C]14[/C][C]13.7492[/C][C]0.250784[/C][/ROW]
[ROW][C]118[/C][C]14[/C][C]15.253[/C][C]-1.25298[/C][/ROW]
[ROW][C]119[/C][C]14[/C][C]13.6853[/C][C]0.314652[/C][/ROW]
[ROW][C]120[/C][C]12[/C][C]12.6773[/C][C]-0.677258[/C][/ROW]
[ROW][C]121[/C][C]14[/C][C]13.5169[/C][C]0.483144[/C][/ROW]
[ROW][C]122[/C][C]15[/C][C]15.1769[/C][C]-0.17692[/C][/ROW]
[ROW][C]123[/C][C]15[/C][C]15.9937[/C][C]-0.99374[/C][/ROW]
[ROW][C]124[/C][C]15[/C][C]14.6535[/C][C]0.346523[/C][/ROW]
[ROW][C]125[/C][C]13[/C][C]14.8558[/C][C]-1.85579[/C][/ROW]
[ROW][C]126[/C][C]17[/C][C]16.1422[/C][C]0.857819[/C][/ROW]
[ROW][C]127[/C][C]17[/C][C]15.1483[/C][C]1.85174[/C][/ROW]
[ROW][C]128[/C][C]19[/C][C]14.8254[/C][C]4.17464[/C][/ROW]
[ROW][C]129[/C][C]15[/C][C]13.8423[/C][C]1.15769[/C][/ROW]
[ROW][C]130[/C][C]13[/C][C]14.4813[/C][C]-1.48131[/C][/ROW]
[ROW][C]131[/C][C]9[/C][C]11.0317[/C][C]-2.03168[/C][/ROW]
[ROW][C]132[/C][C]15[/C][C]15.0676[/C][C]-0.0676176[/C][/ROW]
[ROW][C]133[/C][C]15[/C][C]12.8166[/C][C]2.1834[/C][/ROW]
[ROW][C]134[/C][C]15[/C][C]14.4012[/C][C]0.59877[/C][/ROW]
[ROW][C]135[/C][C]16[/C][C]13.7785[/C][C]2.22146[/C][/ROW]
[ROW][C]136[/C][C]11[/C][C]9.38449[/C][C]1.61551[/C][/ROW]
[ROW][C]137[/C][C]14[/C][C]13.301[/C][C]0.699008[/C][/ROW]
[ROW][C]138[/C][C]11[/C][C]12.2447[/C][C]-1.24467[/C][/ROW]
[ROW][C]139[/C][C]15[/C][C]14.293[/C][C]0.706952[/C][/ROW]
[ROW][C]140[/C][C]13[/C][C]14.0532[/C][C]-1.05321[/C][/ROW]
[ROW][C]141[/C][C]15[/C][C]14.3644[/C][C]0.635555[/C][/ROW]
[ROW][C]142[/C][C]16[/C][C]13.7478[/C][C]2.25219[/C][/ROW]
[ROW][C]143[/C][C]14[/C][C]14.7175[/C][C]-0.71754[/C][/ROW]
[ROW][C]144[/C][C]15[/C][C]14.1423[/C][C]0.857717[/C][/ROW]
[ROW][C]145[/C][C]16[/C][C]14.9407[/C][C]1.05926[/C][/ROW]
[ROW][C]146[/C][C]16[/C][C]14.2733[/C][C]1.72672[/C][/ROW]
[ROW][C]147[/C][C]11[/C][C]13.6289[/C][C]-2.62888[/C][/ROW]
[ROW][C]148[/C][C]12[/C][C]14.6411[/C][C]-2.64107[/C][/ROW]
[ROW][C]149[/C][C]9[/C][C]11.5897[/C][C]-2.58969[/C][/ROW]
[ROW][C]150[/C][C]16[/C][C]14.5508[/C][C]1.44921[/C][/ROW]
[ROW][C]151[/C][C]13[/C][C]12.7202[/C][C]0.279809[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]15.2676[/C][C]0.732388[/C][/ROW]
[ROW][C]153[/C][C]12[/C][C]14.1384[/C][C]-2.13835[/C][/ROW]
[ROW][C]154[/C][C]9[/C][C]11.8545[/C][C]-2.8545[/C][/ROW]
[ROW][C]155[/C][C]13[/C][C]12.0496[/C][C]0.950436[/C][/ROW]
[ROW][C]156[/C][C]13[/C][C]12.754[/C][C]0.245998[/C][/ROW]
[ROW][C]157[/C][C]14[/C][C]13.2775[/C][C]0.722469[/C][/ROW]
[ROW][C]158[/C][C]19[/C][C]14.8254[/C][C]4.17464[/C][/ROW]
[ROW][C]159[/C][C]13[/C][C]15.6079[/C][C]-2.60788[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]12.2581[/C][C]-0.258116[/C][/ROW]
[ROW][C]161[/C][C]13[/C][C]12.6414[/C][C]0.358558[/C][/ROW]
[ROW][C]162[/C][C]10[/C][C]9.09821[/C][C]0.901793[/C][/ROW]
[ROW][C]163[/C][C]14[/C][C]13.0835[/C][C]0.91654[/C][/ROW]
[ROW][C]164[/C][C]16[/C][C]11.2908[/C][C]4.70919[/C][/ROW]
[ROW][C]165[/C][C]10[/C][C]11.6847[/C][C]-1.68466[/C][/ROW]
[ROW][C]166[/C][C]11[/C][C]9.09216[/C][C]1.90784[/C][/ROW]
[ROW][C]167[/C][C]14[/C][C]13.9803[/C][C]0.0197366[/C][/ROW]
[ROW][C]168[/C][C]12[/C][C]12.9954[/C][C]-0.99542[/C][/ROW]
[ROW][C]169[/C][C]9[/C][C]12.7489[/C][C]-3.74891[/C][/ROW]
[ROW][C]170[/C][C]9[/C][C]11.6649[/C][C]-2.66494[/C][/ROW]
[ROW][C]171[/C][C]11[/C][C]10.2388[/C][C]0.761217[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]13.9586[/C][C]2.04145[/C][/ROW]
[ROW][C]173[/C][C]9[/C][C]14.0468[/C][C]-5.04676[/C][/ROW]
[ROW][C]174[/C][C]13[/C][C]11.3472[/C][C]1.6528[/C][/ROW]
[ROW][C]175[/C][C]16[/C][C]13.4462[/C][C]2.55384[/C][/ROW]
[ROW][C]176[/C][C]13[/C][C]15.0857[/C][C]-2.08571[/C][/ROW]
[ROW][C]177[/C][C]9[/C][C]12.2035[/C][C]-3.20346[/C][/ROW]
[ROW][C]178[/C][C]12[/C][C]11.3967[/C][C]0.6033[/C][/ROW]
[ROW][C]179[/C][C]16[/C][C]14.3645[/C][C]1.63548[/C][/ROW]
[ROW][C]180[/C][C]11[/C][C]13.1497[/C][C]-2.14972[/C][/ROW]
[ROW][C]181[/C][C]14[/C][C]13.8343[/C][C]0.165724[/C][/ROW]
[ROW][C]182[/C][C]13[/C][C]14.6116[/C][C]-1.61158[/C][/ROW]
[ROW][C]183[/C][C]15[/C][C]14.3374[/C][C]0.662645[/C][/ROW]
[ROW][C]184[/C][C]14[/C][C]14.8322[/C][C]-0.83217[/C][/ROW]
[ROW][C]185[/C][C]16[/C][C]14.5394[/C][C]1.46063[/C][/ROW]
[ROW][C]186[/C][C]13[/C][C]11.4099[/C][C]1.59011[/C][/ROW]
[ROW][C]187[/C][C]14[/C][C]13.1664[/C][C]0.833579[/C][/ROW]
[ROW][C]188[/C][C]15[/C][C]14.0999[/C][C]0.900115[/C][/ROW]
[ROW][C]189[/C][C]13[/C][C]12.3385[/C][C]0.6615[/C][/ROW]
[ROW][C]190[/C][C]11[/C][C]10.0883[/C][C]0.911743[/C][/ROW]
[ROW][C]191[/C][C]11[/C][C]12.4999[/C][C]-1.4999[/C][/ROW]
[ROW][C]192[/C][C]14[/C][C]14.8163[/C][C]-0.816295[/C][/ROW]
[ROW][C]193[/C][C]15[/C][C]12.3749[/C][C]2.62515[/C][/ROW]
[ROW][C]194[/C][C]11[/C][C]12.2145[/C][C]-1.21447[/C][/ROW]
[ROW][C]195[/C][C]15[/C][C]13.0449[/C][C]1.95514[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]13.9432[/C][C]-1.94319[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]11.3485[/C][C]2.65145[/C][/ROW]
[ROW][C]198[/C][C]14[/C][C]13.2262[/C][C]0.773799[/C][/ROW]
[ROW][C]199[/C][C]8[/C][C]10.9155[/C][C]-2.91552[/C][/ROW]
[ROW][C]200[/C][C]13[/C][C]13.5338[/C][C]-0.533795[/C][/ROW]
[ROW][C]201[/C][C]9[/C][C]11.9018[/C][C]-2.90178[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]13.5871[/C][C]1.41292[/C][/ROW]
[ROW][C]203[/C][C]17[/C][C]14.1502[/C][C]2.84982[/C][/ROW]
[ROW][C]204[/C][C]13[/C][C]12.6733[/C][C]0.326658[/C][/ROW]
[ROW][C]205[/C][C]15[/C][C]14.111[/C][C]0.889022[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]13.576[/C][C]1.42396[/C][/ROW]
[ROW][C]207[/C][C]14[/C][C]14.2981[/C][C]-0.298063[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]12.2901[/C][C]3.7099[/C][/ROW]
[ROW][C]209[/C][C]13[/C][C]13.0513[/C][C]-0.0513204[/C][/ROW]
[ROW][C]210[/C][C]16[/C][C]14.1151[/C][C]1.88495[/C][/ROW]
[ROW][C]211[/C][C]9[/C][C]11.8352[/C][C]-2.83516[/C][/ROW]
[ROW][C]212[/C][C]16[/C][C]14.813[/C][C]1.18699[/C][/ROW]
[ROW][C]213[/C][C]11[/C][C]12.1229[/C][C]-1.12289[/C][/ROW]
[ROW][C]214[/C][C]10[/C][C]13.5256[/C][C]-3.52562[/C][/ROW]
[ROW][C]215[/C][C]11[/C][C]11.9323[/C][C]-0.932289[/C][/ROW]
[ROW][C]216[/C][C]15[/C][C]13.1022[/C][C]1.89778[/C][/ROW]
[ROW][C]217[/C][C]17[/C][C]14.5849[/C][C]2.41506[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]14.1716[/C][C]-0.171639[/C][/ROW]
[ROW][C]219[/C][C]8[/C][C]9.79845[/C][C]-1.79845[/C][/ROW]
[ROW][C]220[/C][C]15[/C][C]13.5404[/C][C]1.45965[/C][/ROW]
[ROW][C]221[/C][C]11[/C][C]13.9882[/C][C]-2.98817[/C][/ROW]
[ROW][C]222[/C][C]16[/C][C]13.4664[/C][C]2.53357[/C][/ROW]
[ROW][C]223[/C][C]10[/C][C]12.0135[/C][C]-2.01345[/C][/ROW]
[ROW][C]224[/C][C]15[/C][C]14.8473[/C][C]0.152671[/C][/ROW]
[ROW][C]225[/C][C]9[/C][C]9.46388[/C][C]-0.463885[/C][/ROW]
[ROW][C]226[/C][C]16[/C][C]14.5881[/C][C]1.4119[/C][/ROW]
[ROW][C]227[/C][C]19[/C][C]13.6666[/C][C]5.33335[/C][/ROW]
[ROW][C]228[/C][C]12[/C][C]13.4963[/C][C]-1.49627[/C][/ROW]
[ROW][C]229[/C][C]8[/C][C]9.58413[/C][C]-1.58413[/C][/ROW]
[ROW][C]230[/C][C]11[/C][C]13.3919[/C][C]-2.39193[/C][/ROW]
[ROW][C]231[/C][C]14[/C][C]13.599[/C][C]0.400988[/C][/ROW]
[ROW][C]232[/C][C]9[/C][C]12.314[/C][C]-3.31405[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]14.421[/C][C]0.578984[/C][/ROW]
[ROW][C]234[/C][C]13[/C][C]12.1786[/C][C]0.821448[/C][/ROW]
[ROW][C]235[/C][C]16[/C][C]14.9028[/C][C]1.09716[/C][/ROW]
[ROW][C]236[/C][C]11[/C][C]13.0076[/C][C]-2.00761[/C][/ROW]
[ROW][C]237[/C][C]12[/C][C]11.9563[/C][C]0.0436542[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]12.876[/C][C]0.124026[/C][/ROW]
[ROW][C]239[/C][C]10[/C][C]14.1687[/C][C]-4.16873[/C][/ROW]
[ROW][C]240[/C][C]11[/C][C]13.6856[/C][C]-2.68561[/C][/ROW]
[ROW][C]241[/C][C]12[/C][C]14.8307[/C][C]-2.83069[/C][/ROW]
[ROW][C]242[/C][C]8[/C][C]10.8203[/C][C]-2.82032[/C][/ROW]
[ROW][C]243[/C][C]12[/C][C]11.6025[/C][C]0.397543[/C][/ROW]
[ROW][C]244[/C][C]12[/C][C]12.0476[/C][C]-0.047599[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]13.3643[/C][C]1.63572[/C][/ROW]
[ROW][C]246[/C][C]11[/C][C]10.71[/C][C]0.290024[/C][/ROW]
[ROW][C]247[/C][C]13[/C][C]12.6014[/C][C]0.398605[/C][/ROW]
[ROW][C]248[/C][C]14[/C][C]9.00495[/C][C]4.99505[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]10.0921[/C][C]-0.0920688[/C][/ROW]
[ROW][C]250[/C][C]12[/C][C]11.4705[/C][C]0.529471[/C][/ROW]
[ROW][C]251[/C][C]15[/C][C]12.9063[/C][C]2.09371[/C][/ROW]
[ROW][C]252[/C][C]13[/C][C]11.9962[/C][C]1.00384[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]14.0579[/C][C]-1.0579[/C][/ROW]
[ROW][C]254[/C][C]13[/C][C]13.3989[/C][C]-0.398907[/C][/ROW]
[ROW][C]255[/C][C]12[/C][C]11.9139[/C][C]0.0860735[/C][/ROW]
[ROW][C]256[/C][C]12[/C][C]12.6321[/C][C]-0.632085[/C][/ROW]
[ROW][C]257[/C][C]9[/C][C]10.6792[/C][C]-1.67924[/C][/ROW]
[ROW][C]258[/C][C]9[/C][C]11.2553[/C][C]-2.25532[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]12.6463[/C][C]2.35367[/C][/ROW]
[ROW][C]260[/C][C]10[/C][C]15.3176[/C][C]-5.31759[/C][/ROW]
[ROW][C]261[/C][C]14[/C][C]13.5225[/C][C]0.477471[/C][/ROW]
[ROW][C]262[/C][C]15[/C][C]13.8474[/C][C]1.15257[/C][/ROW]
[ROW][C]263[/C][C]7[/C][C]9.86446[/C][C]-2.86446[/C][/ROW]
[ROW][C]264[/C][C]14[/C][C]13.7149[/C][C]0.285056[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226193&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226193&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11414.2174-0.217376
21815.24492.75514
31113.8218-2.82184
41214.2389-2.23888
51611.47484.52517
61814.62193.37814
71410.46313.53695
81415.292-1.29196
91515.4289-0.428927
101514.33910.660865
111715.45581.54415
121915.6233.37705
131013.4296-3.42959
141613.46282.53716
151815.88532.11474
161413.47830.521696
171413.85820.141798
181715.49891.50108
191415.2248-1.22483
201613.81172.18828
211815.3172.68299
221113.7263-2.72633
231414.2676-0.267594
241213.55-1.54996
251715.34821.65176
26915.9592-6.95915
271615.00790.992078
281413.55470.445315
291513.97761.02236
301114.0621-3.0621
311615.86030.139711
321312.810.190026
331715.22351.77651
341515.3766-0.376638
351414.1932-0.193153
361615.86710.132871
37911.2196-2.21965
381514.57820.421844
391715.29711.70287
401315.1905-2.19049
411515.6896-0.689607
421613.91522.08478
431615.70660.293363
441213.2581-1.25805
451514.76380.236208
461114.1554-3.15544
471515.7124-0.712438
481515.0198-0.0198355
491713.56443.43562
501315.0462-2.04619
511615.46470.535275
521413.58390.416142
531112.1119-1.11185
541213.8013-1.80134
551214.4291-2.42909
561513.63711.36287
571614.32871.67128
581515.5603-0.560265
591215.3756-3.37563
601213.3941-1.3941
61810.8597-2.85973
621314.748-1.74805
631114.8955-3.89553
641413.29460.705423
651513.71711.28293
661014.9242-4.92424
671112.3685-1.36846
681214.0628-2.06279
691513.77251.22751
701513.48971.51028
711413.71440.285554
721612.67873.32132
731514.25270.747257
741515.094-0.0939944
751314.8126-1.81258
761211.75730.242689
771713.93773.06228
781312.27040.729565
791513.9251.07502
801314.7925-1.79249
811514.80540.194598
821515.4071-0.407085
831614.26681.73324
841514.20510.794865
851413.8940.106025
861513.96221.03775
871414.1646-0.164638
881312.6020.397994
89710.4929-3.49288
901713.83663.16342
911312.7540.245998
921514.12380.87619
931413.27710.722903
941314.1585-1.15854
951614.81281.18725
961212.7804-0.780424
971414.6197-0.61974
981714.86472.13528
991515.0415-0.0415213
1001715.20821.79184
1011212.8138-0.813811
1021614.7621.23795
1031114.3386-3.33864
1041512.9882.01204
105911.5717-2.57174
1061614.77971.22033
1071512.87832.12168
1081012.6671-2.66715
109109.187150.812846
1101513.83211.16795
1111113.2155-2.21551
1121315.124-2.12398
1131412.03821.96179
1141814.32043.67964
1151615.39060.609441
1161413.16120.838773
1171413.74920.250784
1181415.253-1.25298
1191413.68530.314652
1201212.6773-0.677258
1211413.51690.483144
1221515.1769-0.17692
1231515.9937-0.99374
1241514.65350.346523
1251314.8558-1.85579
1261716.14220.857819
1271715.14831.85174
1281914.82544.17464
1291513.84231.15769
1301314.4813-1.48131
131911.0317-2.03168
1321515.0676-0.0676176
1331512.81662.1834
1341514.40120.59877
1351613.77852.22146
136119.384491.61551
1371413.3010.699008
1381112.2447-1.24467
1391514.2930.706952
1401314.0532-1.05321
1411514.36440.635555
1421613.74782.25219
1431414.7175-0.71754
1441514.14230.857717
1451614.94071.05926
1461614.27331.72672
1471113.6289-2.62888
1481214.6411-2.64107
149911.5897-2.58969
1501614.55081.44921
1511312.72020.279809
1521615.26760.732388
1531214.1384-2.13835
154911.8545-2.8545
1551312.04960.950436
1561312.7540.245998
1571413.27750.722469
1581914.82544.17464
1591315.6079-2.60788
1601212.2581-0.258116
1611312.64140.358558
162109.098210.901793
1631413.08350.91654
1641611.29084.70919
1651011.6847-1.68466
166119.092161.90784
1671413.98030.0197366
1681212.9954-0.99542
169912.7489-3.74891
170911.6649-2.66494
1711110.23880.761217
1721613.95862.04145
173914.0468-5.04676
1741311.34721.6528
1751613.44622.55384
1761315.0857-2.08571
177912.2035-3.20346
1781211.39670.6033
1791614.36451.63548
1801113.1497-2.14972
1811413.83430.165724
1821314.6116-1.61158
1831514.33740.662645
1841414.8322-0.83217
1851614.53941.46063
1861311.40991.59011
1871413.16640.833579
1881514.09990.900115
1891312.33850.6615
1901110.08830.911743
1911112.4999-1.4999
1921414.8163-0.816295
1931512.37492.62515
1941112.2145-1.21447
1951513.04491.95514
1961213.9432-1.94319
1971411.34852.65145
1981413.22620.773799
199810.9155-2.91552
2001313.5338-0.533795
201911.9018-2.90178
2021513.58711.41292
2031714.15022.84982
2041312.67330.326658
2051514.1110.889022
2061513.5761.42396
2071414.2981-0.298063
2081612.29013.7099
2091313.0513-0.0513204
2101614.11511.88495
211911.8352-2.83516
2121614.8131.18699
2131112.1229-1.12289
2141013.5256-3.52562
2151111.9323-0.932289
2161513.10221.89778
2171714.58492.41506
2181414.1716-0.171639
21989.79845-1.79845
2201513.54041.45965
2211113.9882-2.98817
2221613.46642.53357
2231012.0135-2.01345
2241514.84730.152671
22599.46388-0.463885
2261614.58811.4119
2271913.66665.33335
2281213.4963-1.49627
22989.58413-1.58413
2301113.3919-2.39193
2311413.5990.400988
232912.314-3.31405
2331514.4210.578984
2341312.17860.821448
2351614.90281.09716
2361113.0076-2.00761
2371211.95630.0436542
2381312.8760.124026
2391014.1687-4.16873
2401113.6856-2.68561
2411214.8307-2.83069
242810.8203-2.82032
2431211.60250.397543
2441212.0476-0.047599
2451513.36431.63572
2461110.710.290024
2471312.60140.398605
248149.004954.99505
2491010.0921-0.0920688
2501211.47050.529471
2511512.90632.09371
2521311.99621.00384
2531314.0579-1.0579
2541313.3989-0.398907
2551211.91390.0860735
2561212.6321-0.632085
257910.6792-1.67924
258911.2553-2.25532
2591512.64632.35367
2601015.3176-5.31759
2611413.52250.477471
2621513.84741.15257
26379.86446-2.86446
2641413.71490.285056






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.02404530.04809060.975955
120.8030960.3938080.196904
130.9680210.06395780.0319789
140.9536370.09272680.0463634
150.968120.06375970.0318799
160.9467380.1065240.0532622
170.9504940.09901280.0495064
180.930340.1393190.0696595
190.8984150.2031690.101585
200.8947930.2104140.105207
210.9192830.1614330.0807166
220.9314930.1370140.0685072
230.915150.16970.0848501
240.8852880.2294250.114712
250.8593930.2812130.140607
260.9989320.002135990.00106799
270.9982720.003455460.00172773
280.9972440.005512230.00275612
290.9958030.008393760.00419688
300.9969370.006126470.00306323
310.9953810.009238420.00461921
320.9933570.01328640.00664319
330.9919680.01606440.00803222
340.9884880.02302320.0115116
350.9857780.02844480.0142224
360.980440.03912080.0195604
370.9868960.02620770.0131039
380.9818910.03621870.0181094
390.9797860.04042770.0202139
400.9797740.04045170.0202258
410.9735540.05289180.0264459
420.9701440.05971230.0298562
430.9611110.07777780.0388889
440.9546350.09073060.0453653
450.9418830.1162340.0581172
460.9590160.08196810.0409841
470.9478130.1043730.0521866
480.9338870.1322260.0661129
490.9470790.1058410.0529207
500.9476060.1047870.0523936
510.9351120.1297760.0648881
520.919680.1606390.0803197
530.9124740.1750520.0875262
540.9013280.1973440.0986722
550.9043160.1913670.0956836
560.8909440.2181130.109056
570.8787910.2424180.121209
580.855640.2887190.14436
590.8918030.2163950.108197
600.8831860.2336280.116814
610.8987940.2024110.101206
620.8981190.2037620.101881
630.9421860.1156280.0578141
640.9323080.1353850.0676923
650.924670.1506590.0753297
660.9341750.131650.0658249
670.9338370.1323260.0661632
680.9274130.1451740.0725868
690.9397310.1205380.060269
700.9446610.1106780.0553392
710.935860.128280.06414
720.9573620.08527580.0426379
730.9488620.1022760.0511379
740.9375430.1249130.0624566
750.9301710.1396580.0698289
760.9160880.1678230.0839117
770.932050.13590.0679498
780.9201220.1597560.079878
790.9110470.1779060.0889528
800.9033440.1933110.0966555
810.8856520.2286960.114348
820.8664490.2671030.133551
830.8593290.2813420.140671
840.8399370.3201250.160063
850.8155050.368990.184495
860.7916920.4166170.208308
870.7634590.4730820.236541
880.7337520.5324960.266248
890.8058520.3882970.194148
900.8330330.3339330.166967
910.8090890.3818230.190911
920.7847760.4304470.215224
930.760860.478280.23914
940.7400240.5199520.259976
950.7146740.5706510.285326
960.6894470.6211050.310553
970.6598850.680230.340115
980.6581610.6836780.341839
990.623920.7521590.37608
1000.6105870.7788260.389413
1010.5849390.8301230.415061
1020.5586220.8827570.441378
1030.6079610.7840780.392039
1040.5959890.8080230.404011
1050.6243230.7513540.375677
1060.5993280.8013440.400672
1070.5902160.8195680.409784
1080.6236990.7526010.376301
1090.5926860.8146290.407314
1100.5666310.8667380.433369
1110.5751120.8497770.424888
1120.5957190.8085620.404281
1130.5799360.8401280.420064
1140.6547050.690590.345295
1150.6243750.751250.375625
1160.5938610.8122770.406139
1170.5593270.8813470.440673
1180.5387320.9225360.461268
1190.5038440.9923130.496156
1200.4735280.9470570.526472
1210.4444850.888970.555515
1220.4126410.8252810.587359
1230.3879950.775990.612005
1240.3563070.7126130.643693
1250.3515570.7031140.648443
1260.3231620.6463240.676838
1270.3113330.6226660.688667
1280.4176330.8352660.582367
1290.3930770.7861540.606923
1300.3792150.7584310.620785
1310.3792580.7585150.620742
1320.3499310.6998620.650069
1330.3595350.719070.640465
1340.3292780.6585560.670722
1350.3379790.6759590.662021
1360.3282740.6565470.671726
1370.2998380.5996750.700162
1380.2817390.5634780.718261
1390.2549530.5099050.745047
1400.2357750.4715510.764225
1410.2110010.4220020.788999
1420.2171540.4343090.782846
1430.1937150.387430.806285
1440.1752030.3504070.824797
1450.1599030.3198050.840097
1460.1571630.3143250.842837
1470.1710540.3421070.828946
1480.1864270.3728540.813573
1490.2065850.413170.793415
1500.1967980.3935960.803202
1510.1751190.3502370.824881
1520.1571130.3142250.842887
1530.1617770.3235550.838223
1540.1925820.3851640.807418
1550.1708550.341710.829145
1560.1525610.3051210.847439
1570.1324980.2649950.867502
1580.2022740.4045480.797726
1590.2212550.442510.778745
1600.1974350.394870.802565
1610.1728680.3457350.827132
1620.1524110.3048220.847589
1630.1343220.2686440.865678
1640.2406120.4812230.759388
1650.2355740.4711470.764426
1660.2266240.4532470.773376
1670.2003290.4006590.799671
1680.1836020.3672040.816398
1690.2446410.4892810.755359
1700.2637760.5275520.736224
1710.2395590.4791180.760441
1720.2382520.4765050.761748
1730.4032820.8065650.596718
1740.3866990.7733980.613301
1750.4024670.8049340.597533
1760.4069940.8139870.593006
1770.4581150.9162290.541885
1780.424310.8486210.57569
1790.4061360.8122720.593864
1800.4065850.8131710.593415
1810.3695510.7391020.630449
1820.3585470.7170940.641453
1830.3249270.6498550.675073
1840.2967790.5935590.703221
1850.2825850.5651710.717415
1860.2784030.5568070.721597
1870.2521140.5042280.747886
1880.229790.459580.77021
1890.2022670.4045350.797733
1900.1835180.3670360.816482
1910.1924880.3849770.807512
1920.1733630.3467250.826637
1930.2041040.4082090.795896
1940.1861880.3723770.813812
1950.1850120.3700240.814988
1960.1908730.3817460.809127
1970.254210.5084190.74579
1980.2380050.4760110.761995
1990.261080.5221590.73892
2000.2289110.4578230.771089
2010.253060.506120.74694
2020.2330260.4660520.766974
2030.2761550.5523090.723845
2040.2472410.4944810.752759
2050.2207430.4414870.779257
2060.2039110.4078220.796089
2070.1747820.3495640.825218
2080.2017470.4034950.798253
2090.1717550.343510.828245
2100.1929520.3859040.807048
2110.2278390.4556780.772161
2120.2075380.4150750.792462
2130.1810780.3621560.818922
2140.2103170.4206350.789683
2150.1826320.3652640.817368
2160.1742810.3485610.825719
2170.2206610.4413230.779339
2180.1929260.3858520.807074
2190.1758790.3517590.824121
2200.1859250.3718510.814075
2210.196470.392940.80353
2220.1996120.3992240.800388
2230.1818560.3637120.818144
2240.1508750.3017510.849125
2250.1389030.2778060.861097
2260.1535720.3071440.846428
2270.3321930.6643860.667807
2280.3117890.6235770.688211
2290.2870740.5741470.712926
2300.2753640.5507280.724636
2310.2397010.4794030.760299
2320.2942430.5884870.705757
2330.2524650.5049290.747535
2340.2121310.4242620.787869
2350.2116720.4233430.788328
2360.1872910.3745810.812709
2370.1559510.3119020.844049
2380.1213510.2427010.878649
2390.2255150.451030.774485
2400.2226770.4453540.777323
2410.1935980.3871960.806402
2420.3961140.7922280.603886
2430.3506320.7012640.649368
2440.2857490.5714970.714251
2450.393440.7868790.60656
2460.3151190.6302380.684881
2470.2402980.4805960.759702
2480.4058050.8116110.594195
2490.3143740.6287470.685626
2500.2259370.4518740.774063
2510.3523950.7047910.647605
2520.7903640.4192730.209636
2530.6656960.6686090.334304

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.0240453 & 0.0480906 & 0.975955 \tabularnewline
12 & 0.803096 & 0.393808 & 0.196904 \tabularnewline
13 & 0.968021 & 0.0639578 & 0.0319789 \tabularnewline
14 & 0.953637 & 0.0927268 & 0.0463634 \tabularnewline
15 & 0.96812 & 0.0637597 & 0.0318799 \tabularnewline
16 & 0.946738 & 0.106524 & 0.0532622 \tabularnewline
17 & 0.950494 & 0.0990128 & 0.0495064 \tabularnewline
18 & 0.93034 & 0.139319 & 0.0696595 \tabularnewline
19 & 0.898415 & 0.203169 & 0.101585 \tabularnewline
20 & 0.894793 & 0.210414 & 0.105207 \tabularnewline
21 & 0.919283 & 0.161433 & 0.0807166 \tabularnewline
22 & 0.931493 & 0.137014 & 0.0685072 \tabularnewline
23 & 0.91515 & 0.1697 & 0.0848501 \tabularnewline
24 & 0.885288 & 0.229425 & 0.114712 \tabularnewline
25 & 0.859393 & 0.281213 & 0.140607 \tabularnewline
26 & 0.998932 & 0.00213599 & 0.00106799 \tabularnewline
27 & 0.998272 & 0.00345546 & 0.00172773 \tabularnewline
28 & 0.997244 & 0.00551223 & 0.00275612 \tabularnewline
29 & 0.995803 & 0.00839376 & 0.00419688 \tabularnewline
30 & 0.996937 & 0.00612647 & 0.00306323 \tabularnewline
31 & 0.995381 & 0.00923842 & 0.00461921 \tabularnewline
32 & 0.993357 & 0.0132864 & 0.00664319 \tabularnewline
33 & 0.991968 & 0.0160644 & 0.00803222 \tabularnewline
34 & 0.988488 & 0.0230232 & 0.0115116 \tabularnewline
35 & 0.985778 & 0.0284448 & 0.0142224 \tabularnewline
36 & 0.98044 & 0.0391208 & 0.0195604 \tabularnewline
37 & 0.986896 & 0.0262077 & 0.0131039 \tabularnewline
38 & 0.981891 & 0.0362187 & 0.0181094 \tabularnewline
39 & 0.979786 & 0.0404277 & 0.0202139 \tabularnewline
40 & 0.979774 & 0.0404517 & 0.0202258 \tabularnewline
41 & 0.973554 & 0.0528918 & 0.0264459 \tabularnewline
42 & 0.970144 & 0.0597123 & 0.0298562 \tabularnewline
43 & 0.961111 & 0.0777778 & 0.0388889 \tabularnewline
44 & 0.954635 & 0.0907306 & 0.0453653 \tabularnewline
45 & 0.941883 & 0.116234 & 0.0581172 \tabularnewline
46 & 0.959016 & 0.0819681 & 0.0409841 \tabularnewline
47 & 0.947813 & 0.104373 & 0.0521866 \tabularnewline
48 & 0.933887 & 0.132226 & 0.0661129 \tabularnewline
49 & 0.947079 & 0.105841 & 0.0529207 \tabularnewline
50 & 0.947606 & 0.104787 & 0.0523936 \tabularnewline
51 & 0.935112 & 0.129776 & 0.0648881 \tabularnewline
52 & 0.91968 & 0.160639 & 0.0803197 \tabularnewline
53 & 0.912474 & 0.175052 & 0.0875262 \tabularnewline
54 & 0.901328 & 0.197344 & 0.0986722 \tabularnewline
55 & 0.904316 & 0.191367 & 0.0956836 \tabularnewline
56 & 0.890944 & 0.218113 & 0.109056 \tabularnewline
57 & 0.878791 & 0.242418 & 0.121209 \tabularnewline
58 & 0.85564 & 0.288719 & 0.14436 \tabularnewline
59 & 0.891803 & 0.216395 & 0.108197 \tabularnewline
60 & 0.883186 & 0.233628 & 0.116814 \tabularnewline
61 & 0.898794 & 0.202411 & 0.101206 \tabularnewline
62 & 0.898119 & 0.203762 & 0.101881 \tabularnewline
63 & 0.942186 & 0.115628 & 0.0578141 \tabularnewline
64 & 0.932308 & 0.135385 & 0.0676923 \tabularnewline
65 & 0.92467 & 0.150659 & 0.0753297 \tabularnewline
66 & 0.934175 & 0.13165 & 0.0658249 \tabularnewline
67 & 0.933837 & 0.132326 & 0.0661632 \tabularnewline
68 & 0.927413 & 0.145174 & 0.0725868 \tabularnewline
69 & 0.939731 & 0.120538 & 0.060269 \tabularnewline
70 & 0.944661 & 0.110678 & 0.0553392 \tabularnewline
71 & 0.93586 & 0.12828 & 0.06414 \tabularnewline
72 & 0.957362 & 0.0852758 & 0.0426379 \tabularnewline
73 & 0.948862 & 0.102276 & 0.0511379 \tabularnewline
74 & 0.937543 & 0.124913 & 0.0624566 \tabularnewline
75 & 0.930171 & 0.139658 & 0.0698289 \tabularnewline
76 & 0.916088 & 0.167823 & 0.0839117 \tabularnewline
77 & 0.93205 & 0.1359 & 0.0679498 \tabularnewline
78 & 0.920122 & 0.159756 & 0.079878 \tabularnewline
79 & 0.911047 & 0.177906 & 0.0889528 \tabularnewline
80 & 0.903344 & 0.193311 & 0.0966555 \tabularnewline
81 & 0.885652 & 0.228696 & 0.114348 \tabularnewline
82 & 0.866449 & 0.267103 & 0.133551 \tabularnewline
83 & 0.859329 & 0.281342 & 0.140671 \tabularnewline
84 & 0.839937 & 0.320125 & 0.160063 \tabularnewline
85 & 0.815505 & 0.36899 & 0.184495 \tabularnewline
86 & 0.791692 & 0.416617 & 0.208308 \tabularnewline
87 & 0.763459 & 0.473082 & 0.236541 \tabularnewline
88 & 0.733752 & 0.532496 & 0.266248 \tabularnewline
89 & 0.805852 & 0.388297 & 0.194148 \tabularnewline
90 & 0.833033 & 0.333933 & 0.166967 \tabularnewline
91 & 0.809089 & 0.381823 & 0.190911 \tabularnewline
92 & 0.784776 & 0.430447 & 0.215224 \tabularnewline
93 & 0.76086 & 0.47828 & 0.23914 \tabularnewline
94 & 0.740024 & 0.519952 & 0.259976 \tabularnewline
95 & 0.714674 & 0.570651 & 0.285326 \tabularnewline
96 & 0.689447 & 0.621105 & 0.310553 \tabularnewline
97 & 0.659885 & 0.68023 & 0.340115 \tabularnewline
98 & 0.658161 & 0.683678 & 0.341839 \tabularnewline
99 & 0.62392 & 0.752159 & 0.37608 \tabularnewline
100 & 0.610587 & 0.778826 & 0.389413 \tabularnewline
101 & 0.584939 & 0.830123 & 0.415061 \tabularnewline
102 & 0.558622 & 0.882757 & 0.441378 \tabularnewline
103 & 0.607961 & 0.784078 & 0.392039 \tabularnewline
104 & 0.595989 & 0.808023 & 0.404011 \tabularnewline
105 & 0.624323 & 0.751354 & 0.375677 \tabularnewline
106 & 0.599328 & 0.801344 & 0.400672 \tabularnewline
107 & 0.590216 & 0.819568 & 0.409784 \tabularnewline
108 & 0.623699 & 0.752601 & 0.376301 \tabularnewline
109 & 0.592686 & 0.814629 & 0.407314 \tabularnewline
110 & 0.566631 & 0.866738 & 0.433369 \tabularnewline
111 & 0.575112 & 0.849777 & 0.424888 \tabularnewline
112 & 0.595719 & 0.808562 & 0.404281 \tabularnewline
113 & 0.579936 & 0.840128 & 0.420064 \tabularnewline
114 & 0.654705 & 0.69059 & 0.345295 \tabularnewline
115 & 0.624375 & 0.75125 & 0.375625 \tabularnewline
116 & 0.593861 & 0.812277 & 0.406139 \tabularnewline
117 & 0.559327 & 0.881347 & 0.440673 \tabularnewline
118 & 0.538732 & 0.922536 & 0.461268 \tabularnewline
119 & 0.503844 & 0.992313 & 0.496156 \tabularnewline
120 & 0.473528 & 0.947057 & 0.526472 \tabularnewline
121 & 0.444485 & 0.88897 & 0.555515 \tabularnewline
122 & 0.412641 & 0.825281 & 0.587359 \tabularnewline
123 & 0.387995 & 0.77599 & 0.612005 \tabularnewline
124 & 0.356307 & 0.712613 & 0.643693 \tabularnewline
125 & 0.351557 & 0.703114 & 0.648443 \tabularnewline
126 & 0.323162 & 0.646324 & 0.676838 \tabularnewline
127 & 0.311333 & 0.622666 & 0.688667 \tabularnewline
128 & 0.417633 & 0.835266 & 0.582367 \tabularnewline
129 & 0.393077 & 0.786154 & 0.606923 \tabularnewline
130 & 0.379215 & 0.758431 & 0.620785 \tabularnewline
131 & 0.379258 & 0.758515 & 0.620742 \tabularnewline
132 & 0.349931 & 0.699862 & 0.650069 \tabularnewline
133 & 0.359535 & 0.71907 & 0.640465 \tabularnewline
134 & 0.329278 & 0.658556 & 0.670722 \tabularnewline
135 & 0.337979 & 0.675959 & 0.662021 \tabularnewline
136 & 0.328274 & 0.656547 & 0.671726 \tabularnewline
137 & 0.299838 & 0.599675 & 0.700162 \tabularnewline
138 & 0.281739 & 0.563478 & 0.718261 \tabularnewline
139 & 0.254953 & 0.509905 & 0.745047 \tabularnewline
140 & 0.235775 & 0.471551 & 0.764225 \tabularnewline
141 & 0.211001 & 0.422002 & 0.788999 \tabularnewline
142 & 0.217154 & 0.434309 & 0.782846 \tabularnewline
143 & 0.193715 & 0.38743 & 0.806285 \tabularnewline
144 & 0.175203 & 0.350407 & 0.824797 \tabularnewline
145 & 0.159903 & 0.319805 & 0.840097 \tabularnewline
146 & 0.157163 & 0.314325 & 0.842837 \tabularnewline
147 & 0.171054 & 0.342107 & 0.828946 \tabularnewline
148 & 0.186427 & 0.372854 & 0.813573 \tabularnewline
149 & 0.206585 & 0.41317 & 0.793415 \tabularnewline
150 & 0.196798 & 0.393596 & 0.803202 \tabularnewline
151 & 0.175119 & 0.350237 & 0.824881 \tabularnewline
152 & 0.157113 & 0.314225 & 0.842887 \tabularnewline
153 & 0.161777 & 0.323555 & 0.838223 \tabularnewline
154 & 0.192582 & 0.385164 & 0.807418 \tabularnewline
155 & 0.170855 & 0.34171 & 0.829145 \tabularnewline
156 & 0.152561 & 0.305121 & 0.847439 \tabularnewline
157 & 0.132498 & 0.264995 & 0.867502 \tabularnewline
158 & 0.202274 & 0.404548 & 0.797726 \tabularnewline
159 & 0.221255 & 0.44251 & 0.778745 \tabularnewline
160 & 0.197435 & 0.39487 & 0.802565 \tabularnewline
161 & 0.172868 & 0.345735 & 0.827132 \tabularnewline
162 & 0.152411 & 0.304822 & 0.847589 \tabularnewline
163 & 0.134322 & 0.268644 & 0.865678 \tabularnewline
164 & 0.240612 & 0.481223 & 0.759388 \tabularnewline
165 & 0.235574 & 0.471147 & 0.764426 \tabularnewline
166 & 0.226624 & 0.453247 & 0.773376 \tabularnewline
167 & 0.200329 & 0.400659 & 0.799671 \tabularnewline
168 & 0.183602 & 0.367204 & 0.816398 \tabularnewline
169 & 0.244641 & 0.489281 & 0.755359 \tabularnewline
170 & 0.263776 & 0.527552 & 0.736224 \tabularnewline
171 & 0.239559 & 0.479118 & 0.760441 \tabularnewline
172 & 0.238252 & 0.476505 & 0.761748 \tabularnewline
173 & 0.403282 & 0.806565 & 0.596718 \tabularnewline
174 & 0.386699 & 0.773398 & 0.613301 \tabularnewline
175 & 0.402467 & 0.804934 & 0.597533 \tabularnewline
176 & 0.406994 & 0.813987 & 0.593006 \tabularnewline
177 & 0.458115 & 0.916229 & 0.541885 \tabularnewline
178 & 0.42431 & 0.848621 & 0.57569 \tabularnewline
179 & 0.406136 & 0.812272 & 0.593864 \tabularnewline
180 & 0.406585 & 0.813171 & 0.593415 \tabularnewline
181 & 0.369551 & 0.739102 & 0.630449 \tabularnewline
182 & 0.358547 & 0.717094 & 0.641453 \tabularnewline
183 & 0.324927 & 0.649855 & 0.675073 \tabularnewline
184 & 0.296779 & 0.593559 & 0.703221 \tabularnewline
185 & 0.282585 & 0.565171 & 0.717415 \tabularnewline
186 & 0.278403 & 0.556807 & 0.721597 \tabularnewline
187 & 0.252114 & 0.504228 & 0.747886 \tabularnewline
188 & 0.22979 & 0.45958 & 0.77021 \tabularnewline
189 & 0.202267 & 0.404535 & 0.797733 \tabularnewline
190 & 0.183518 & 0.367036 & 0.816482 \tabularnewline
191 & 0.192488 & 0.384977 & 0.807512 \tabularnewline
192 & 0.173363 & 0.346725 & 0.826637 \tabularnewline
193 & 0.204104 & 0.408209 & 0.795896 \tabularnewline
194 & 0.186188 & 0.372377 & 0.813812 \tabularnewline
195 & 0.185012 & 0.370024 & 0.814988 \tabularnewline
196 & 0.190873 & 0.381746 & 0.809127 \tabularnewline
197 & 0.25421 & 0.508419 & 0.74579 \tabularnewline
198 & 0.238005 & 0.476011 & 0.761995 \tabularnewline
199 & 0.26108 & 0.522159 & 0.73892 \tabularnewline
200 & 0.228911 & 0.457823 & 0.771089 \tabularnewline
201 & 0.25306 & 0.50612 & 0.74694 \tabularnewline
202 & 0.233026 & 0.466052 & 0.766974 \tabularnewline
203 & 0.276155 & 0.552309 & 0.723845 \tabularnewline
204 & 0.247241 & 0.494481 & 0.752759 \tabularnewline
205 & 0.220743 & 0.441487 & 0.779257 \tabularnewline
206 & 0.203911 & 0.407822 & 0.796089 \tabularnewline
207 & 0.174782 & 0.349564 & 0.825218 \tabularnewline
208 & 0.201747 & 0.403495 & 0.798253 \tabularnewline
209 & 0.171755 & 0.34351 & 0.828245 \tabularnewline
210 & 0.192952 & 0.385904 & 0.807048 \tabularnewline
211 & 0.227839 & 0.455678 & 0.772161 \tabularnewline
212 & 0.207538 & 0.415075 & 0.792462 \tabularnewline
213 & 0.181078 & 0.362156 & 0.818922 \tabularnewline
214 & 0.210317 & 0.420635 & 0.789683 \tabularnewline
215 & 0.182632 & 0.365264 & 0.817368 \tabularnewline
216 & 0.174281 & 0.348561 & 0.825719 \tabularnewline
217 & 0.220661 & 0.441323 & 0.779339 \tabularnewline
218 & 0.192926 & 0.385852 & 0.807074 \tabularnewline
219 & 0.175879 & 0.351759 & 0.824121 \tabularnewline
220 & 0.185925 & 0.371851 & 0.814075 \tabularnewline
221 & 0.19647 & 0.39294 & 0.80353 \tabularnewline
222 & 0.199612 & 0.399224 & 0.800388 \tabularnewline
223 & 0.181856 & 0.363712 & 0.818144 \tabularnewline
224 & 0.150875 & 0.301751 & 0.849125 \tabularnewline
225 & 0.138903 & 0.277806 & 0.861097 \tabularnewline
226 & 0.153572 & 0.307144 & 0.846428 \tabularnewline
227 & 0.332193 & 0.664386 & 0.667807 \tabularnewline
228 & 0.311789 & 0.623577 & 0.688211 \tabularnewline
229 & 0.287074 & 0.574147 & 0.712926 \tabularnewline
230 & 0.275364 & 0.550728 & 0.724636 \tabularnewline
231 & 0.239701 & 0.479403 & 0.760299 \tabularnewline
232 & 0.294243 & 0.588487 & 0.705757 \tabularnewline
233 & 0.252465 & 0.504929 & 0.747535 \tabularnewline
234 & 0.212131 & 0.424262 & 0.787869 \tabularnewline
235 & 0.211672 & 0.423343 & 0.788328 \tabularnewline
236 & 0.187291 & 0.374581 & 0.812709 \tabularnewline
237 & 0.155951 & 0.311902 & 0.844049 \tabularnewline
238 & 0.121351 & 0.242701 & 0.878649 \tabularnewline
239 & 0.225515 & 0.45103 & 0.774485 \tabularnewline
240 & 0.222677 & 0.445354 & 0.777323 \tabularnewline
241 & 0.193598 & 0.387196 & 0.806402 \tabularnewline
242 & 0.396114 & 0.792228 & 0.603886 \tabularnewline
243 & 0.350632 & 0.701264 & 0.649368 \tabularnewline
244 & 0.285749 & 0.571497 & 0.714251 \tabularnewline
245 & 0.39344 & 0.786879 & 0.60656 \tabularnewline
246 & 0.315119 & 0.630238 & 0.684881 \tabularnewline
247 & 0.240298 & 0.480596 & 0.759702 \tabularnewline
248 & 0.405805 & 0.811611 & 0.594195 \tabularnewline
249 & 0.314374 & 0.628747 & 0.685626 \tabularnewline
250 & 0.225937 & 0.451874 & 0.774063 \tabularnewline
251 & 0.352395 & 0.704791 & 0.647605 \tabularnewline
252 & 0.790364 & 0.419273 & 0.209636 \tabularnewline
253 & 0.665696 & 0.668609 & 0.334304 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226193&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]0.0240453[/C][C]0.0480906[/C][C]0.975955[/C][/ROW]
[ROW][C]12[/C][C]0.803096[/C][C]0.393808[/C][C]0.196904[/C][/ROW]
[ROW][C]13[/C][C]0.968021[/C][C]0.0639578[/C][C]0.0319789[/C][/ROW]
[ROW][C]14[/C][C]0.953637[/C][C]0.0927268[/C][C]0.0463634[/C][/ROW]
[ROW][C]15[/C][C]0.96812[/C][C]0.0637597[/C][C]0.0318799[/C][/ROW]
[ROW][C]16[/C][C]0.946738[/C][C]0.106524[/C][C]0.0532622[/C][/ROW]
[ROW][C]17[/C][C]0.950494[/C][C]0.0990128[/C][C]0.0495064[/C][/ROW]
[ROW][C]18[/C][C]0.93034[/C][C]0.139319[/C][C]0.0696595[/C][/ROW]
[ROW][C]19[/C][C]0.898415[/C][C]0.203169[/C][C]0.101585[/C][/ROW]
[ROW][C]20[/C][C]0.894793[/C][C]0.210414[/C][C]0.105207[/C][/ROW]
[ROW][C]21[/C][C]0.919283[/C][C]0.161433[/C][C]0.0807166[/C][/ROW]
[ROW][C]22[/C][C]0.931493[/C][C]0.137014[/C][C]0.0685072[/C][/ROW]
[ROW][C]23[/C][C]0.91515[/C][C]0.1697[/C][C]0.0848501[/C][/ROW]
[ROW][C]24[/C][C]0.885288[/C][C]0.229425[/C][C]0.114712[/C][/ROW]
[ROW][C]25[/C][C]0.859393[/C][C]0.281213[/C][C]0.140607[/C][/ROW]
[ROW][C]26[/C][C]0.998932[/C][C]0.00213599[/C][C]0.00106799[/C][/ROW]
[ROW][C]27[/C][C]0.998272[/C][C]0.00345546[/C][C]0.00172773[/C][/ROW]
[ROW][C]28[/C][C]0.997244[/C][C]0.00551223[/C][C]0.00275612[/C][/ROW]
[ROW][C]29[/C][C]0.995803[/C][C]0.00839376[/C][C]0.00419688[/C][/ROW]
[ROW][C]30[/C][C]0.996937[/C][C]0.00612647[/C][C]0.00306323[/C][/ROW]
[ROW][C]31[/C][C]0.995381[/C][C]0.00923842[/C][C]0.00461921[/C][/ROW]
[ROW][C]32[/C][C]0.993357[/C][C]0.0132864[/C][C]0.00664319[/C][/ROW]
[ROW][C]33[/C][C]0.991968[/C][C]0.0160644[/C][C]0.00803222[/C][/ROW]
[ROW][C]34[/C][C]0.988488[/C][C]0.0230232[/C][C]0.0115116[/C][/ROW]
[ROW][C]35[/C][C]0.985778[/C][C]0.0284448[/C][C]0.0142224[/C][/ROW]
[ROW][C]36[/C][C]0.98044[/C][C]0.0391208[/C][C]0.0195604[/C][/ROW]
[ROW][C]37[/C][C]0.986896[/C][C]0.0262077[/C][C]0.0131039[/C][/ROW]
[ROW][C]38[/C][C]0.981891[/C][C]0.0362187[/C][C]0.0181094[/C][/ROW]
[ROW][C]39[/C][C]0.979786[/C][C]0.0404277[/C][C]0.0202139[/C][/ROW]
[ROW][C]40[/C][C]0.979774[/C][C]0.0404517[/C][C]0.0202258[/C][/ROW]
[ROW][C]41[/C][C]0.973554[/C][C]0.0528918[/C][C]0.0264459[/C][/ROW]
[ROW][C]42[/C][C]0.970144[/C][C]0.0597123[/C][C]0.0298562[/C][/ROW]
[ROW][C]43[/C][C]0.961111[/C][C]0.0777778[/C][C]0.0388889[/C][/ROW]
[ROW][C]44[/C][C]0.954635[/C][C]0.0907306[/C][C]0.0453653[/C][/ROW]
[ROW][C]45[/C][C]0.941883[/C][C]0.116234[/C][C]0.0581172[/C][/ROW]
[ROW][C]46[/C][C]0.959016[/C][C]0.0819681[/C][C]0.0409841[/C][/ROW]
[ROW][C]47[/C][C]0.947813[/C][C]0.104373[/C][C]0.0521866[/C][/ROW]
[ROW][C]48[/C][C]0.933887[/C][C]0.132226[/C][C]0.0661129[/C][/ROW]
[ROW][C]49[/C][C]0.947079[/C][C]0.105841[/C][C]0.0529207[/C][/ROW]
[ROW][C]50[/C][C]0.947606[/C][C]0.104787[/C][C]0.0523936[/C][/ROW]
[ROW][C]51[/C][C]0.935112[/C][C]0.129776[/C][C]0.0648881[/C][/ROW]
[ROW][C]52[/C][C]0.91968[/C][C]0.160639[/C][C]0.0803197[/C][/ROW]
[ROW][C]53[/C][C]0.912474[/C][C]0.175052[/C][C]0.0875262[/C][/ROW]
[ROW][C]54[/C][C]0.901328[/C][C]0.197344[/C][C]0.0986722[/C][/ROW]
[ROW][C]55[/C][C]0.904316[/C][C]0.191367[/C][C]0.0956836[/C][/ROW]
[ROW][C]56[/C][C]0.890944[/C][C]0.218113[/C][C]0.109056[/C][/ROW]
[ROW][C]57[/C][C]0.878791[/C][C]0.242418[/C][C]0.121209[/C][/ROW]
[ROW][C]58[/C][C]0.85564[/C][C]0.288719[/C][C]0.14436[/C][/ROW]
[ROW][C]59[/C][C]0.891803[/C][C]0.216395[/C][C]0.108197[/C][/ROW]
[ROW][C]60[/C][C]0.883186[/C][C]0.233628[/C][C]0.116814[/C][/ROW]
[ROW][C]61[/C][C]0.898794[/C][C]0.202411[/C][C]0.101206[/C][/ROW]
[ROW][C]62[/C][C]0.898119[/C][C]0.203762[/C][C]0.101881[/C][/ROW]
[ROW][C]63[/C][C]0.942186[/C][C]0.115628[/C][C]0.0578141[/C][/ROW]
[ROW][C]64[/C][C]0.932308[/C][C]0.135385[/C][C]0.0676923[/C][/ROW]
[ROW][C]65[/C][C]0.92467[/C][C]0.150659[/C][C]0.0753297[/C][/ROW]
[ROW][C]66[/C][C]0.934175[/C][C]0.13165[/C][C]0.0658249[/C][/ROW]
[ROW][C]67[/C][C]0.933837[/C][C]0.132326[/C][C]0.0661632[/C][/ROW]
[ROW][C]68[/C][C]0.927413[/C][C]0.145174[/C][C]0.0725868[/C][/ROW]
[ROW][C]69[/C][C]0.939731[/C][C]0.120538[/C][C]0.060269[/C][/ROW]
[ROW][C]70[/C][C]0.944661[/C][C]0.110678[/C][C]0.0553392[/C][/ROW]
[ROW][C]71[/C][C]0.93586[/C][C]0.12828[/C][C]0.06414[/C][/ROW]
[ROW][C]72[/C][C]0.957362[/C][C]0.0852758[/C][C]0.0426379[/C][/ROW]
[ROW][C]73[/C][C]0.948862[/C][C]0.102276[/C][C]0.0511379[/C][/ROW]
[ROW][C]74[/C][C]0.937543[/C][C]0.124913[/C][C]0.0624566[/C][/ROW]
[ROW][C]75[/C][C]0.930171[/C][C]0.139658[/C][C]0.0698289[/C][/ROW]
[ROW][C]76[/C][C]0.916088[/C][C]0.167823[/C][C]0.0839117[/C][/ROW]
[ROW][C]77[/C][C]0.93205[/C][C]0.1359[/C][C]0.0679498[/C][/ROW]
[ROW][C]78[/C][C]0.920122[/C][C]0.159756[/C][C]0.079878[/C][/ROW]
[ROW][C]79[/C][C]0.911047[/C][C]0.177906[/C][C]0.0889528[/C][/ROW]
[ROW][C]80[/C][C]0.903344[/C][C]0.193311[/C][C]0.0966555[/C][/ROW]
[ROW][C]81[/C][C]0.885652[/C][C]0.228696[/C][C]0.114348[/C][/ROW]
[ROW][C]82[/C][C]0.866449[/C][C]0.267103[/C][C]0.133551[/C][/ROW]
[ROW][C]83[/C][C]0.859329[/C][C]0.281342[/C][C]0.140671[/C][/ROW]
[ROW][C]84[/C][C]0.839937[/C][C]0.320125[/C][C]0.160063[/C][/ROW]
[ROW][C]85[/C][C]0.815505[/C][C]0.36899[/C][C]0.184495[/C][/ROW]
[ROW][C]86[/C][C]0.791692[/C][C]0.416617[/C][C]0.208308[/C][/ROW]
[ROW][C]87[/C][C]0.763459[/C][C]0.473082[/C][C]0.236541[/C][/ROW]
[ROW][C]88[/C][C]0.733752[/C][C]0.532496[/C][C]0.266248[/C][/ROW]
[ROW][C]89[/C][C]0.805852[/C][C]0.388297[/C][C]0.194148[/C][/ROW]
[ROW][C]90[/C][C]0.833033[/C][C]0.333933[/C][C]0.166967[/C][/ROW]
[ROW][C]91[/C][C]0.809089[/C][C]0.381823[/C][C]0.190911[/C][/ROW]
[ROW][C]92[/C][C]0.784776[/C][C]0.430447[/C][C]0.215224[/C][/ROW]
[ROW][C]93[/C][C]0.76086[/C][C]0.47828[/C][C]0.23914[/C][/ROW]
[ROW][C]94[/C][C]0.740024[/C][C]0.519952[/C][C]0.259976[/C][/ROW]
[ROW][C]95[/C][C]0.714674[/C][C]0.570651[/C][C]0.285326[/C][/ROW]
[ROW][C]96[/C][C]0.689447[/C][C]0.621105[/C][C]0.310553[/C][/ROW]
[ROW][C]97[/C][C]0.659885[/C][C]0.68023[/C][C]0.340115[/C][/ROW]
[ROW][C]98[/C][C]0.658161[/C][C]0.683678[/C][C]0.341839[/C][/ROW]
[ROW][C]99[/C][C]0.62392[/C][C]0.752159[/C][C]0.37608[/C][/ROW]
[ROW][C]100[/C][C]0.610587[/C][C]0.778826[/C][C]0.389413[/C][/ROW]
[ROW][C]101[/C][C]0.584939[/C][C]0.830123[/C][C]0.415061[/C][/ROW]
[ROW][C]102[/C][C]0.558622[/C][C]0.882757[/C][C]0.441378[/C][/ROW]
[ROW][C]103[/C][C]0.607961[/C][C]0.784078[/C][C]0.392039[/C][/ROW]
[ROW][C]104[/C][C]0.595989[/C][C]0.808023[/C][C]0.404011[/C][/ROW]
[ROW][C]105[/C][C]0.624323[/C][C]0.751354[/C][C]0.375677[/C][/ROW]
[ROW][C]106[/C][C]0.599328[/C][C]0.801344[/C][C]0.400672[/C][/ROW]
[ROW][C]107[/C][C]0.590216[/C][C]0.819568[/C][C]0.409784[/C][/ROW]
[ROW][C]108[/C][C]0.623699[/C][C]0.752601[/C][C]0.376301[/C][/ROW]
[ROW][C]109[/C][C]0.592686[/C][C]0.814629[/C][C]0.407314[/C][/ROW]
[ROW][C]110[/C][C]0.566631[/C][C]0.866738[/C][C]0.433369[/C][/ROW]
[ROW][C]111[/C][C]0.575112[/C][C]0.849777[/C][C]0.424888[/C][/ROW]
[ROW][C]112[/C][C]0.595719[/C][C]0.808562[/C][C]0.404281[/C][/ROW]
[ROW][C]113[/C][C]0.579936[/C][C]0.840128[/C][C]0.420064[/C][/ROW]
[ROW][C]114[/C][C]0.654705[/C][C]0.69059[/C][C]0.345295[/C][/ROW]
[ROW][C]115[/C][C]0.624375[/C][C]0.75125[/C][C]0.375625[/C][/ROW]
[ROW][C]116[/C][C]0.593861[/C][C]0.812277[/C][C]0.406139[/C][/ROW]
[ROW][C]117[/C][C]0.559327[/C][C]0.881347[/C][C]0.440673[/C][/ROW]
[ROW][C]118[/C][C]0.538732[/C][C]0.922536[/C][C]0.461268[/C][/ROW]
[ROW][C]119[/C][C]0.503844[/C][C]0.992313[/C][C]0.496156[/C][/ROW]
[ROW][C]120[/C][C]0.473528[/C][C]0.947057[/C][C]0.526472[/C][/ROW]
[ROW][C]121[/C][C]0.444485[/C][C]0.88897[/C][C]0.555515[/C][/ROW]
[ROW][C]122[/C][C]0.412641[/C][C]0.825281[/C][C]0.587359[/C][/ROW]
[ROW][C]123[/C][C]0.387995[/C][C]0.77599[/C][C]0.612005[/C][/ROW]
[ROW][C]124[/C][C]0.356307[/C][C]0.712613[/C][C]0.643693[/C][/ROW]
[ROW][C]125[/C][C]0.351557[/C][C]0.703114[/C][C]0.648443[/C][/ROW]
[ROW][C]126[/C][C]0.323162[/C][C]0.646324[/C][C]0.676838[/C][/ROW]
[ROW][C]127[/C][C]0.311333[/C][C]0.622666[/C][C]0.688667[/C][/ROW]
[ROW][C]128[/C][C]0.417633[/C][C]0.835266[/C][C]0.582367[/C][/ROW]
[ROW][C]129[/C][C]0.393077[/C][C]0.786154[/C][C]0.606923[/C][/ROW]
[ROW][C]130[/C][C]0.379215[/C][C]0.758431[/C][C]0.620785[/C][/ROW]
[ROW][C]131[/C][C]0.379258[/C][C]0.758515[/C][C]0.620742[/C][/ROW]
[ROW][C]132[/C][C]0.349931[/C][C]0.699862[/C][C]0.650069[/C][/ROW]
[ROW][C]133[/C][C]0.359535[/C][C]0.71907[/C][C]0.640465[/C][/ROW]
[ROW][C]134[/C][C]0.329278[/C][C]0.658556[/C][C]0.670722[/C][/ROW]
[ROW][C]135[/C][C]0.337979[/C][C]0.675959[/C][C]0.662021[/C][/ROW]
[ROW][C]136[/C][C]0.328274[/C][C]0.656547[/C][C]0.671726[/C][/ROW]
[ROW][C]137[/C][C]0.299838[/C][C]0.599675[/C][C]0.700162[/C][/ROW]
[ROW][C]138[/C][C]0.281739[/C][C]0.563478[/C][C]0.718261[/C][/ROW]
[ROW][C]139[/C][C]0.254953[/C][C]0.509905[/C][C]0.745047[/C][/ROW]
[ROW][C]140[/C][C]0.235775[/C][C]0.471551[/C][C]0.764225[/C][/ROW]
[ROW][C]141[/C][C]0.211001[/C][C]0.422002[/C][C]0.788999[/C][/ROW]
[ROW][C]142[/C][C]0.217154[/C][C]0.434309[/C][C]0.782846[/C][/ROW]
[ROW][C]143[/C][C]0.193715[/C][C]0.38743[/C][C]0.806285[/C][/ROW]
[ROW][C]144[/C][C]0.175203[/C][C]0.350407[/C][C]0.824797[/C][/ROW]
[ROW][C]145[/C][C]0.159903[/C][C]0.319805[/C][C]0.840097[/C][/ROW]
[ROW][C]146[/C][C]0.157163[/C][C]0.314325[/C][C]0.842837[/C][/ROW]
[ROW][C]147[/C][C]0.171054[/C][C]0.342107[/C][C]0.828946[/C][/ROW]
[ROW][C]148[/C][C]0.186427[/C][C]0.372854[/C][C]0.813573[/C][/ROW]
[ROW][C]149[/C][C]0.206585[/C][C]0.41317[/C][C]0.793415[/C][/ROW]
[ROW][C]150[/C][C]0.196798[/C][C]0.393596[/C][C]0.803202[/C][/ROW]
[ROW][C]151[/C][C]0.175119[/C][C]0.350237[/C][C]0.824881[/C][/ROW]
[ROW][C]152[/C][C]0.157113[/C][C]0.314225[/C][C]0.842887[/C][/ROW]
[ROW][C]153[/C][C]0.161777[/C][C]0.323555[/C][C]0.838223[/C][/ROW]
[ROW][C]154[/C][C]0.192582[/C][C]0.385164[/C][C]0.807418[/C][/ROW]
[ROW][C]155[/C][C]0.170855[/C][C]0.34171[/C][C]0.829145[/C][/ROW]
[ROW][C]156[/C][C]0.152561[/C][C]0.305121[/C][C]0.847439[/C][/ROW]
[ROW][C]157[/C][C]0.132498[/C][C]0.264995[/C][C]0.867502[/C][/ROW]
[ROW][C]158[/C][C]0.202274[/C][C]0.404548[/C][C]0.797726[/C][/ROW]
[ROW][C]159[/C][C]0.221255[/C][C]0.44251[/C][C]0.778745[/C][/ROW]
[ROW][C]160[/C][C]0.197435[/C][C]0.39487[/C][C]0.802565[/C][/ROW]
[ROW][C]161[/C][C]0.172868[/C][C]0.345735[/C][C]0.827132[/C][/ROW]
[ROW][C]162[/C][C]0.152411[/C][C]0.304822[/C][C]0.847589[/C][/ROW]
[ROW][C]163[/C][C]0.134322[/C][C]0.268644[/C][C]0.865678[/C][/ROW]
[ROW][C]164[/C][C]0.240612[/C][C]0.481223[/C][C]0.759388[/C][/ROW]
[ROW][C]165[/C][C]0.235574[/C][C]0.471147[/C][C]0.764426[/C][/ROW]
[ROW][C]166[/C][C]0.226624[/C][C]0.453247[/C][C]0.773376[/C][/ROW]
[ROW][C]167[/C][C]0.200329[/C][C]0.400659[/C][C]0.799671[/C][/ROW]
[ROW][C]168[/C][C]0.183602[/C][C]0.367204[/C][C]0.816398[/C][/ROW]
[ROW][C]169[/C][C]0.244641[/C][C]0.489281[/C][C]0.755359[/C][/ROW]
[ROW][C]170[/C][C]0.263776[/C][C]0.527552[/C][C]0.736224[/C][/ROW]
[ROW][C]171[/C][C]0.239559[/C][C]0.479118[/C][C]0.760441[/C][/ROW]
[ROW][C]172[/C][C]0.238252[/C][C]0.476505[/C][C]0.761748[/C][/ROW]
[ROW][C]173[/C][C]0.403282[/C][C]0.806565[/C][C]0.596718[/C][/ROW]
[ROW][C]174[/C][C]0.386699[/C][C]0.773398[/C][C]0.613301[/C][/ROW]
[ROW][C]175[/C][C]0.402467[/C][C]0.804934[/C][C]0.597533[/C][/ROW]
[ROW][C]176[/C][C]0.406994[/C][C]0.813987[/C][C]0.593006[/C][/ROW]
[ROW][C]177[/C][C]0.458115[/C][C]0.916229[/C][C]0.541885[/C][/ROW]
[ROW][C]178[/C][C]0.42431[/C][C]0.848621[/C][C]0.57569[/C][/ROW]
[ROW][C]179[/C][C]0.406136[/C][C]0.812272[/C][C]0.593864[/C][/ROW]
[ROW][C]180[/C][C]0.406585[/C][C]0.813171[/C][C]0.593415[/C][/ROW]
[ROW][C]181[/C][C]0.369551[/C][C]0.739102[/C][C]0.630449[/C][/ROW]
[ROW][C]182[/C][C]0.358547[/C][C]0.717094[/C][C]0.641453[/C][/ROW]
[ROW][C]183[/C][C]0.324927[/C][C]0.649855[/C][C]0.675073[/C][/ROW]
[ROW][C]184[/C][C]0.296779[/C][C]0.593559[/C][C]0.703221[/C][/ROW]
[ROW][C]185[/C][C]0.282585[/C][C]0.565171[/C][C]0.717415[/C][/ROW]
[ROW][C]186[/C][C]0.278403[/C][C]0.556807[/C][C]0.721597[/C][/ROW]
[ROW][C]187[/C][C]0.252114[/C][C]0.504228[/C][C]0.747886[/C][/ROW]
[ROW][C]188[/C][C]0.22979[/C][C]0.45958[/C][C]0.77021[/C][/ROW]
[ROW][C]189[/C][C]0.202267[/C][C]0.404535[/C][C]0.797733[/C][/ROW]
[ROW][C]190[/C][C]0.183518[/C][C]0.367036[/C][C]0.816482[/C][/ROW]
[ROW][C]191[/C][C]0.192488[/C][C]0.384977[/C][C]0.807512[/C][/ROW]
[ROW][C]192[/C][C]0.173363[/C][C]0.346725[/C][C]0.826637[/C][/ROW]
[ROW][C]193[/C][C]0.204104[/C][C]0.408209[/C][C]0.795896[/C][/ROW]
[ROW][C]194[/C][C]0.186188[/C][C]0.372377[/C][C]0.813812[/C][/ROW]
[ROW][C]195[/C][C]0.185012[/C][C]0.370024[/C][C]0.814988[/C][/ROW]
[ROW][C]196[/C][C]0.190873[/C][C]0.381746[/C][C]0.809127[/C][/ROW]
[ROW][C]197[/C][C]0.25421[/C][C]0.508419[/C][C]0.74579[/C][/ROW]
[ROW][C]198[/C][C]0.238005[/C][C]0.476011[/C][C]0.761995[/C][/ROW]
[ROW][C]199[/C][C]0.26108[/C][C]0.522159[/C][C]0.73892[/C][/ROW]
[ROW][C]200[/C][C]0.228911[/C][C]0.457823[/C][C]0.771089[/C][/ROW]
[ROW][C]201[/C][C]0.25306[/C][C]0.50612[/C][C]0.74694[/C][/ROW]
[ROW][C]202[/C][C]0.233026[/C][C]0.466052[/C][C]0.766974[/C][/ROW]
[ROW][C]203[/C][C]0.276155[/C][C]0.552309[/C][C]0.723845[/C][/ROW]
[ROW][C]204[/C][C]0.247241[/C][C]0.494481[/C][C]0.752759[/C][/ROW]
[ROW][C]205[/C][C]0.220743[/C][C]0.441487[/C][C]0.779257[/C][/ROW]
[ROW][C]206[/C][C]0.203911[/C][C]0.407822[/C][C]0.796089[/C][/ROW]
[ROW][C]207[/C][C]0.174782[/C][C]0.349564[/C][C]0.825218[/C][/ROW]
[ROW][C]208[/C][C]0.201747[/C][C]0.403495[/C][C]0.798253[/C][/ROW]
[ROW][C]209[/C][C]0.171755[/C][C]0.34351[/C][C]0.828245[/C][/ROW]
[ROW][C]210[/C][C]0.192952[/C][C]0.385904[/C][C]0.807048[/C][/ROW]
[ROW][C]211[/C][C]0.227839[/C][C]0.455678[/C][C]0.772161[/C][/ROW]
[ROW][C]212[/C][C]0.207538[/C][C]0.415075[/C][C]0.792462[/C][/ROW]
[ROW][C]213[/C][C]0.181078[/C][C]0.362156[/C][C]0.818922[/C][/ROW]
[ROW][C]214[/C][C]0.210317[/C][C]0.420635[/C][C]0.789683[/C][/ROW]
[ROW][C]215[/C][C]0.182632[/C][C]0.365264[/C][C]0.817368[/C][/ROW]
[ROW][C]216[/C][C]0.174281[/C][C]0.348561[/C][C]0.825719[/C][/ROW]
[ROW][C]217[/C][C]0.220661[/C][C]0.441323[/C][C]0.779339[/C][/ROW]
[ROW][C]218[/C][C]0.192926[/C][C]0.385852[/C][C]0.807074[/C][/ROW]
[ROW][C]219[/C][C]0.175879[/C][C]0.351759[/C][C]0.824121[/C][/ROW]
[ROW][C]220[/C][C]0.185925[/C][C]0.371851[/C][C]0.814075[/C][/ROW]
[ROW][C]221[/C][C]0.19647[/C][C]0.39294[/C][C]0.80353[/C][/ROW]
[ROW][C]222[/C][C]0.199612[/C][C]0.399224[/C][C]0.800388[/C][/ROW]
[ROW][C]223[/C][C]0.181856[/C][C]0.363712[/C][C]0.818144[/C][/ROW]
[ROW][C]224[/C][C]0.150875[/C][C]0.301751[/C][C]0.849125[/C][/ROW]
[ROW][C]225[/C][C]0.138903[/C][C]0.277806[/C][C]0.861097[/C][/ROW]
[ROW][C]226[/C][C]0.153572[/C][C]0.307144[/C][C]0.846428[/C][/ROW]
[ROW][C]227[/C][C]0.332193[/C][C]0.664386[/C][C]0.667807[/C][/ROW]
[ROW][C]228[/C][C]0.311789[/C][C]0.623577[/C][C]0.688211[/C][/ROW]
[ROW][C]229[/C][C]0.287074[/C][C]0.574147[/C][C]0.712926[/C][/ROW]
[ROW][C]230[/C][C]0.275364[/C][C]0.550728[/C][C]0.724636[/C][/ROW]
[ROW][C]231[/C][C]0.239701[/C][C]0.479403[/C][C]0.760299[/C][/ROW]
[ROW][C]232[/C][C]0.294243[/C][C]0.588487[/C][C]0.705757[/C][/ROW]
[ROW][C]233[/C][C]0.252465[/C][C]0.504929[/C][C]0.747535[/C][/ROW]
[ROW][C]234[/C][C]0.212131[/C][C]0.424262[/C][C]0.787869[/C][/ROW]
[ROW][C]235[/C][C]0.211672[/C][C]0.423343[/C][C]0.788328[/C][/ROW]
[ROW][C]236[/C][C]0.187291[/C][C]0.374581[/C][C]0.812709[/C][/ROW]
[ROW][C]237[/C][C]0.155951[/C][C]0.311902[/C][C]0.844049[/C][/ROW]
[ROW][C]238[/C][C]0.121351[/C][C]0.242701[/C][C]0.878649[/C][/ROW]
[ROW][C]239[/C][C]0.225515[/C][C]0.45103[/C][C]0.774485[/C][/ROW]
[ROW][C]240[/C][C]0.222677[/C][C]0.445354[/C][C]0.777323[/C][/ROW]
[ROW][C]241[/C][C]0.193598[/C][C]0.387196[/C][C]0.806402[/C][/ROW]
[ROW][C]242[/C][C]0.396114[/C][C]0.792228[/C][C]0.603886[/C][/ROW]
[ROW][C]243[/C][C]0.350632[/C][C]0.701264[/C][C]0.649368[/C][/ROW]
[ROW][C]244[/C][C]0.285749[/C][C]0.571497[/C][C]0.714251[/C][/ROW]
[ROW][C]245[/C][C]0.39344[/C][C]0.786879[/C][C]0.60656[/C][/ROW]
[ROW][C]246[/C][C]0.315119[/C][C]0.630238[/C][C]0.684881[/C][/ROW]
[ROW][C]247[/C][C]0.240298[/C][C]0.480596[/C][C]0.759702[/C][/ROW]
[ROW][C]248[/C][C]0.405805[/C][C]0.811611[/C][C]0.594195[/C][/ROW]
[ROW][C]249[/C][C]0.314374[/C][C]0.628747[/C][C]0.685626[/C][/ROW]
[ROW][C]250[/C][C]0.225937[/C][C]0.451874[/C][C]0.774063[/C][/ROW]
[ROW][C]251[/C][C]0.352395[/C][C]0.704791[/C][C]0.647605[/C][/ROW]
[ROW][C]252[/C][C]0.790364[/C][C]0.419273[/C][C]0.209636[/C][/ROW]
[ROW][C]253[/C][C]0.665696[/C][C]0.668609[/C][C]0.334304[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226193&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226193&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
110.02404530.04809060.975955
120.8030960.3938080.196904
130.9680210.06395780.0319789
140.9536370.09272680.0463634
150.968120.06375970.0318799
160.9467380.1065240.0532622
170.9504940.09901280.0495064
180.930340.1393190.0696595
190.8984150.2031690.101585
200.8947930.2104140.105207
210.9192830.1614330.0807166
220.9314930.1370140.0685072
230.915150.16970.0848501
240.8852880.2294250.114712
250.8593930.2812130.140607
260.9989320.002135990.00106799
270.9982720.003455460.00172773
280.9972440.005512230.00275612
290.9958030.008393760.00419688
300.9969370.006126470.00306323
310.9953810.009238420.00461921
320.9933570.01328640.00664319
330.9919680.01606440.00803222
340.9884880.02302320.0115116
350.9857780.02844480.0142224
360.980440.03912080.0195604
370.9868960.02620770.0131039
380.9818910.03621870.0181094
390.9797860.04042770.0202139
400.9797740.04045170.0202258
410.9735540.05289180.0264459
420.9701440.05971230.0298562
430.9611110.07777780.0388889
440.9546350.09073060.0453653
450.9418830.1162340.0581172
460.9590160.08196810.0409841
470.9478130.1043730.0521866
480.9338870.1322260.0661129
490.9470790.1058410.0529207
500.9476060.1047870.0523936
510.9351120.1297760.0648881
520.919680.1606390.0803197
530.9124740.1750520.0875262
540.9013280.1973440.0986722
550.9043160.1913670.0956836
560.8909440.2181130.109056
570.8787910.2424180.121209
580.855640.2887190.14436
590.8918030.2163950.108197
600.8831860.2336280.116814
610.8987940.2024110.101206
620.8981190.2037620.101881
630.9421860.1156280.0578141
640.9323080.1353850.0676923
650.924670.1506590.0753297
660.9341750.131650.0658249
670.9338370.1323260.0661632
680.9274130.1451740.0725868
690.9397310.1205380.060269
700.9446610.1106780.0553392
710.935860.128280.06414
720.9573620.08527580.0426379
730.9488620.1022760.0511379
740.9375430.1249130.0624566
750.9301710.1396580.0698289
760.9160880.1678230.0839117
770.932050.13590.0679498
780.9201220.1597560.079878
790.9110470.1779060.0889528
800.9033440.1933110.0966555
810.8856520.2286960.114348
820.8664490.2671030.133551
830.8593290.2813420.140671
840.8399370.3201250.160063
850.8155050.368990.184495
860.7916920.4166170.208308
870.7634590.4730820.236541
880.7337520.5324960.266248
890.8058520.3882970.194148
900.8330330.3339330.166967
910.8090890.3818230.190911
920.7847760.4304470.215224
930.760860.478280.23914
940.7400240.5199520.259976
950.7146740.5706510.285326
960.6894470.6211050.310553
970.6598850.680230.340115
980.6581610.6836780.341839
990.623920.7521590.37608
1000.6105870.7788260.389413
1010.5849390.8301230.415061
1020.5586220.8827570.441378
1030.6079610.7840780.392039
1040.5959890.8080230.404011
1050.6243230.7513540.375677
1060.5993280.8013440.400672
1070.5902160.8195680.409784
1080.6236990.7526010.376301
1090.5926860.8146290.407314
1100.5666310.8667380.433369
1110.5751120.8497770.424888
1120.5957190.8085620.404281
1130.5799360.8401280.420064
1140.6547050.690590.345295
1150.6243750.751250.375625
1160.5938610.8122770.406139
1170.5593270.8813470.440673
1180.5387320.9225360.461268
1190.5038440.9923130.496156
1200.4735280.9470570.526472
1210.4444850.888970.555515
1220.4126410.8252810.587359
1230.3879950.775990.612005
1240.3563070.7126130.643693
1250.3515570.7031140.648443
1260.3231620.6463240.676838
1270.3113330.6226660.688667
1280.4176330.8352660.582367
1290.3930770.7861540.606923
1300.3792150.7584310.620785
1310.3792580.7585150.620742
1320.3499310.6998620.650069
1330.3595350.719070.640465
1340.3292780.6585560.670722
1350.3379790.6759590.662021
1360.3282740.6565470.671726
1370.2998380.5996750.700162
1380.2817390.5634780.718261
1390.2549530.5099050.745047
1400.2357750.4715510.764225
1410.2110010.4220020.788999
1420.2171540.4343090.782846
1430.1937150.387430.806285
1440.1752030.3504070.824797
1450.1599030.3198050.840097
1460.1571630.3143250.842837
1470.1710540.3421070.828946
1480.1864270.3728540.813573
1490.2065850.413170.793415
1500.1967980.3935960.803202
1510.1751190.3502370.824881
1520.1571130.3142250.842887
1530.1617770.3235550.838223
1540.1925820.3851640.807418
1550.1708550.341710.829145
1560.1525610.3051210.847439
1570.1324980.2649950.867502
1580.2022740.4045480.797726
1590.2212550.442510.778745
1600.1974350.394870.802565
1610.1728680.3457350.827132
1620.1524110.3048220.847589
1630.1343220.2686440.865678
1640.2406120.4812230.759388
1650.2355740.4711470.764426
1660.2266240.4532470.773376
1670.2003290.4006590.799671
1680.1836020.3672040.816398
1690.2446410.4892810.755359
1700.2637760.5275520.736224
1710.2395590.4791180.760441
1720.2382520.4765050.761748
1730.4032820.8065650.596718
1740.3866990.7733980.613301
1750.4024670.8049340.597533
1760.4069940.8139870.593006
1770.4581150.9162290.541885
1780.424310.8486210.57569
1790.4061360.8122720.593864
1800.4065850.8131710.593415
1810.3695510.7391020.630449
1820.3585470.7170940.641453
1830.3249270.6498550.675073
1840.2967790.5935590.703221
1850.2825850.5651710.717415
1860.2784030.5568070.721597
1870.2521140.5042280.747886
1880.229790.459580.77021
1890.2022670.4045350.797733
1900.1835180.3670360.816482
1910.1924880.3849770.807512
1920.1733630.3467250.826637
1930.2041040.4082090.795896
1940.1861880.3723770.813812
1950.1850120.3700240.814988
1960.1908730.3817460.809127
1970.254210.5084190.74579
1980.2380050.4760110.761995
1990.261080.5221590.73892
2000.2289110.4578230.771089
2010.253060.506120.74694
2020.2330260.4660520.766974
2030.2761550.5523090.723845
2040.2472410.4944810.752759
2050.2207430.4414870.779257
2060.2039110.4078220.796089
2070.1747820.3495640.825218
2080.2017470.4034950.798253
2090.1717550.343510.828245
2100.1929520.3859040.807048
2110.2278390.4556780.772161
2120.2075380.4150750.792462
2130.1810780.3621560.818922
2140.2103170.4206350.789683
2150.1826320.3652640.817368
2160.1742810.3485610.825719
2170.2206610.4413230.779339
2180.1929260.3858520.807074
2190.1758790.3517590.824121
2200.1859250.3718510.814075
2210.196470.392940.80353
2220.1996120.3992240.800388
2230.1818560.3637120.818144
2240.1508750.3017510.849125
2250.1389030.2778060.861097
2260.1535720.3071440.846428
2270.3321930.6643860.667807
2280.3117890.6235770.688211
2290.2870740.5741470.712926
2300.2753640.5507280.724636
2310.2397010.4794030.760299
2320.2942430.5884870.705757
2330.2524650.5049290.747535
2340.2121310.4242620.787869
2350.2116720.4233430.788328
2360.1872910.3745810.812709
2370.1559510.3119020.844049
2380.1213510.2427010.878649
2390.2255150.451030.774485
2400.2226770.4453540.777323
2410.1935980.3871960.806402
2420.3961140.7922280.603886
2430.3506320.7012640.649368
2440.2857490.5714970.714251
2450.393440.7868790.60656
2460.3151190.6302380.684881
2470.2402980.4805960.759702
2480.4058050.8116110.594195
2490.3143740.6287470.685626
2500.2259370.4518740.774063
2510.3523950.7047910.647605
2520.7903640.4192730.209636
2530.6656960.6686090.334304






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level60.0246914NOK
5% type I error level160.0658436NOK
10% type I error level260.106996NOK

\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 & 6 & 0.0246914 & NOK \tabularnewline
5% type I error level & 16 & 0.0658436 & NOK \tabularnewline
10% type I error level & 26 & 0.106996 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226193&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]6[/C][C]0.0246914[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]16[/C][C]0.0658436[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]26[/C][C]0.106996[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226193&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226193&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 level60.0246914NOK
5% type I error level160.0658436NOK
10% type I error level260.106996NOK


Figures (Output of Computation)

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

Parameters (Session):
par1 = 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')
}