FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 09 Dec 2014 13:53:51 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/09/t1418133410jeyiesbl13fmmvj.htm/, Retrieved Thu, 16 May 2024 12:02:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264621, Retrieved Thu, 16 May 2024 12:02:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Percentiles] [Intrinsic Motivat...] [2010-10-12 12:10:58] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kernel Density Estimation] [] [2011-10-18 22:42:23] [b98453cac15ba1066b407e146608df68]
- RMPD    [Percentiles] [] [2011-10-18 22:46:45] [b98453cac15ba1066b407e146608df68]
- RMPD      [Notched Boxplots] [] [2011-10-18 22:58:56] [b98453cac15ba1066b407e146608df68]
-    D        [Notched Boxplots] [] [2011-10-18 23:01:09] [b98453cac15ba1066b407e146608df68]
- RMPD            [Multiple Regression] [Regressie] [2014-12-09 13:53:51] [0eaac0c325f91461a250342d6072f4e0] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11 8 7 18 12 20 4
19 18 20 23 20 19 4
16 12 9 22 14 18 5
24 24 19 22 25 24 4
15 16 12 19 15 20 4
17 19 16 25 20 20 9
19 16 17 28 21 24 8
19 15 9 16 15 21 11
28 28 28 28 28 28 4
26 21 20 21 11 10 4
15 18 16 22 22 22 6
26 22 22 24 22 19 4
16 19 17 24 27 27 8
24 22 12 26 24 23 4
25 25 18 28 23 24 4
22 20 20 24 24 24 11
15 16 12 20 21 25 4
21 19 16 26 20 24 4
22 18 16 21 19 21 6
27 26 21 28 25 28 6
26 24 15 27 16 28 4
26 20 17 23 24 22 8
22 19 17 24 21 26 5
21 19 17 24 22 26 4
22 23 18 22 25 21 9
20 18 15 21 23 26 4
21 16 20 25 20 23 7
20 18 13 20 21 20 10
22 21 21 21 22 24 4
21 20 12 26 25 25 4
8 15 6 23 23 24 7
22 19 13 21 19 20 12
20 19 19 27 21 24 7
24 7 12 25 19 25 5
17 20 14 23 25 23 8
20 20 13 25 16 21 5
23 19 12 23 24 23 4
20 19 17 19 24 21 9
22 20 19 22 18 18 7
19 18 10 24 28 24 4
15 14 10 19 15 18 4
20 17 11 21 17 21 4
22 17 11 27 18 23 4
17 8 10 25 26 25 4
14 9 7 25 18 22 7
24 22 22 23 22 22 4
17 20 12 17 19 23 7
23 20 18 28 17 24 4
25 22 20 25 26 25 4
16 22 9 20 21 22 4
18 22 16 25 26 24 4
20 16 14 21 21 21 8
18 14 11 24 12 24 4
23 24 20 28 20 25 4
24 21 17 20 20 23 4
23 20 14 19 24 27 4
13 20 8 24 24 27 7
20 18 16 21 22 23 12
20 14 11 24 21 18 4
19 19 10 23 20 20 4
22 24 15 18 23 23 4
22 19 15 27 19 24 5
15 16 10 25 24 26 15
17 16 10 20 21 20 5
19 16 18 21 16 23 10
20 14 10 23 17 22 9
22 22 22 27 23 23 8
21 21 16 24 20 17 4
21 15 10 27 19 20 5
16 14 7 24 18 22 4
20 15 16 23 18 18 9
21 14 16 24 21 19 4
20 20 16 21 20 19 10
23 21 22 23 17 16 4
18 14 5 27 25 26 4
16 16 10 25 17 25 7
17 13 8 19 17 23 5
24 26 16 24 24 18 4
13 13 8 25 21 22 4
19 18 16 23 22 26 4
20 15 14 23 18 25 4
22 18 15 25 22 26 4
19 21 9 26 20 26 4
21 17 21 26 21 24 6
15 18 7 16 21 22 10
21 20 17 23 20 21 7
24 18 18 26 18 22 4
22 25 16 25 25 28 4
20 20 16 23 23 22 7
21 19 14 26 21 26 4
19 18 15 22 20 20 8
14 12 8 20 21 24 11
25 22 22 27 20 21 6
11 16 5 20 22 23 14
17 18 13 22 15 23 5
22 23 22 24 24 23 4
20 20 18 21 22 22 8
22 20 15 24 21 23 9
15 16 11 26 17 21 4
23 22 19 24 23 27 4
20 19 19 24 22 23 5
22 23 21 27 23 26 4
16 6 4 25 16 27 5
25 19 17 27 18 27 4
18 24 10 19 25 23 4
19 19 13 22 18 23 7
25 15 15 22 14 23 10
21 18 11 25 20 28 4
22 18 20 23 19 24 5
21 22 13 24 18 20 4
22 23 18 24 22 23 4
23 18 20 23 21 22 4
20 17 15 22 14 15 6
6 6 4 24 5 27 4
15 22 9 19 25 23 8
18 20 18 25 21 23 5
24 16 12 26 11 20 4
22 16 17 18 20 18 17
21 17 12 24 9 22 4
23 20 16 28 15 20 4
20 23 17 23 23 21 8
20 18 14 19 21 25 4
18 13 13 19 9 19 7
25 22 20 27 24 25 4
16 20 16 24 16 24 4
20 20 15 26 20 22 5
14 13 10 21 15 28 7
22 16 16 25 18 22 4
26 25 21 28 22 21 4
20 16 15 19 21 23 7
17 15 16 20 21 19 11
22 19 19 26 21 21 7
22 19 9 27 20 25 4
20 24 19 23 24 23 4
17 9 7 18 15 28 4
22 22 23 23 24 14 4
17 15 14 21 18 23 4
22 22 10 23 24 24 4
21 22 16 22 24 25 6
25 24 12 21 15 15 8
11 12 10 14 19 23 23
19 21 7 24 20 26 4
24 25 20 26 26 21 8
17 26 9 24 26 26 6
22 21 12 22 23 23 4
17 14 10 20 13 15 7
26 28 19 20 16 16 4
20 21 11 18 22 20 4
19 16 15 18 21 20 4
21 16 14 25 11 21 10
24 25 11 28 23 28 6
21 21 14 23 18 19 5
19 22 15 20 19 21 5
13 9 7 22 15 22 4
24 20 22 27 8 27 4
28 19 19 24 15 20 5
27 24 22 23 21 17 5
22 22 11 20 25 26 5
23 22 19 22 14 21 5
19 12 9 21 21 24 4
18 17 11 24 18 21 6
23 18 17 26 18 25 4
21 10 12 24 12 22 4
22 22 17 18 24 17 4
17 24 10 17 17 14 9
15 18 17 23 20 23 18
21 18 13 21 24 28 6
20 23 11 21 22 24 5
26 21 19 24 15 22 4
19 21 21 22 22 24 11
28 28 24 24 26 25 4
21 17 13 24 17 21 10
19 21 16 24 23 22 6
22 21 13 23 19 16 8
21 20 15 21 21 18 8
20 18 15 24 23 27 6
19 17 11 19 19 17 8
11 7 7 19 18 25 4
17 17 13 23 16 24 4
19 14 13 25 23 21 9
20 18 12 24 13 21 9
17 14 8 21 18 19 5
21 23 7 18 23 27 4
21 20 17 23 21 28 4
12 14 9 20 23 19 15
23 17 18 23 16 23 10
22 21 17 23 17 25 9
22 23 17 23 20 26 7
21 24 18 23 18 25 9
20 21 12 27 20 25 6
18 14 14 19 19 24 4
21 24 22 25 26 24 7
24 16 19 25 9 24 4
22 21 21 21 23 22 7
20 8 10 25 9 21 4
17 17 16 17 13 17 15
19 18 11 22 27 23 4
16 17 15 23 22 17 9
19 16 12 27 12 25 4
23 22 21 27 18 19 4
8 17 22 5 6 8 28
22 21 20 19 17 14 4
23 20 15 24 22 22 4
15 20 9 23 22 25 4
17 19 15 28 23 28 5
21 8 14 25 19 25 4
25 19 11 27 20 24 4
18 11 9 16 17 15 12
20 13 12 25 24 24 4
21 18 11 26 20 28 6
21 19 14 24 18 24 6
24 23 10 23 23 25 5
22 20 18 24 27 23 4
22 22 11 27 25 26 4
23 19 14 25 24 26 4
17 16 16 19 12 22 10
15 11 11 19 16 25 7
22 21 16 24 24 22 4
19 14 13 20 23 26 7
18 21 12 21 24 20 4
21 20 17 28 24 26 4
20 21 23 26 26 26 12
19 20 14 19 19 21 5
19 19 10 23 28 21 8
16 19 16 23 23 24 6
18 18 11 21 21 21 17
23 20 16 26 19 18 4
22 21 19 25 23 23 5
23 22 17 25 23 26 4
20 19 12 24 20 23 5
24 23 17 23 18 25 5
25 16 11 22 20 20 6
25 23 19 27 28 25 4
20 18 12 26 21 26 4
23 23 8 23 25 19 4
21 20 17 22 18 21 6
23 20 13 26 24 23 8
23 23 17 22 28 24 10
11 13 7 17 9 6 4
21 21 23 25 22 22 5
27 26 18 22 26 21 4
19 18 13 28 28 28 4
21 19 17 22 18 24 4
16 18 13 21 23 14 16
21 18 8 24 15 20 7
22 19 16 26 24 28 4
16 13 14 26 12 19 4
18 10 13 24 12 24 14
23 21 19 27 20 21 5
24 24 15 22 25 21 5
20 21 15 23 24 26 5
20 23 8 22 23 24 5
18 18 14 23 18 26 7
4 11 7 15 20 25 19
14 16 11 20 22 23 16
22 20 17 22 20 24 4
17 20 19 25 25 24 4
23 26 17 27 28 26 7
20 21 12 24 25 23 9
18 12 12 21 14 20 5
19 15 18 17 16 16 14
20 18 16 26 24 24 4
15 14 15 20 13 20 16
24 18 20 22 19 23 10
21 16 16 24 18 23 5
19 19 12 23 16 18 6
19 7 10 22 8 21 4
27 21 28 28 27 25 4
23 24 19 21 23 23 4
23 21 18 24 20 26 5
20 20 19 28 20 26 4
17 22 8 25 26 24 4
21 17 17 24 23 23 5
23 19 16 24 24 21 4
22 20 18 21 21 23 4
16 16 12 20 15 20 5
20 20 17 26 22 23 8
16 16 13 16 25 24 15

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 9 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264621&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264621&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264621&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
AMS.I1[t] = + 8.21185 + 0.296062AMS.I2[t] + 0.314097AMS.I3[t] + 0.242807AMS.E1[t] -0.0499354AMS.E2[t] -0.0539204AMS.E3[t] -0.254327AMS.A[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
AMS.I1[t] =  +  8.21185 +  0.296062AMS.I2[t] +  0.314097AMS.I3[t] +  0.242807AMS.E1[t] -0.0499354AMS.E2[t] -0.0539204AMS.E3[t] -0.254327AMS.A[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264621&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]AMS.I1[t] =  +  8.21185 +  0.296062AMS.I2[t] +  0.314097AMS.I3[t] +  0.242807AMS.E1[t] -0.0499354AMS.E2[t] -0.0539204AMS.E3[t] -0.254327AMS.A[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264621&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264621&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
AMS.I1[t] = + 8.21185 + 0.296062AMS.I2[t] + 0.314097AMS.I3[t] + 0.242807AMS.E1[t] -0.0499354AMS.E2[t] -0.0539204AMS.E3[t] -0.254327AMS.A[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)8.211851.615015.0856.87775e-073.43888e-07
AMS.I20.2960620.04873266.0754.17743e-092.08871e-09
AMS.I30.3140970.04075077.7082.43424e-131.21712e-13
AMS.E10.2428070.06041734.0197.58389e-053.79194e-05
AMS.E2-0.04993540.0423333-1.180.2392020.119601
AMS.E3-0.05392040.0512635-1.0520.2938150.146907
AMS.A-0.2543270.0488242-5.2093.76193e-071.88096e-07

\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) & 8.21185 & 1.61501 & 5.085 & 6.87775e-07 & 3.43888e-07 \tabularnewline
AMS.I2 & 0.296062 & 0.0487326 & 6.075 & 4.17743e-09 & 2.08871e-09 \tabularnewline
AMS.I3 & 0.314097 & 0.0407507 & 7.708 & 2.43424e-13 & 1.21712e-13 \tabularnewline
AMS.E1 & 0.242807 & 0.0604173 & 4.019 & 7.58389e-05 & 3.79194e-05 \tabularnewline
AMS.E2 & -0.0499354 & 0.0423333 & -1.18 & 0.239202 & 0.119601 \tabularnewline
AMS.E3 & -0.0539204 & 0.0512635 & -1.052 & 0.293815 & 0.146907 \tabularnewline
AMS.A & -0.254327 & 0.0488242 & -5.209 & 3.76193e-07 & 1.88096e-07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264621&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]8.21185[/C][C]1.61501[/C][C]5.085[/C][C]6.87775e-07[/C][C]3.43888e-07[/C][/ROW]
[ROW][C]AMS.I2[/C][C]0.296062[/C][C]0.0487326[/C][C]6.075[/C][C]4.17743e-09[/C][C]2.08871e-09[/C][/ROW]
[ROW][C]AMS.I3[/C][C]0.314097[/C][C]0.0407507[/C][C]7.708[/C][C]2.43424e-13[/C][C]1.21712e-13[/C][/ROW]
[ROW][C]AMS.E1[/C][C]0.242807[/C][C]0.0604173[/C][C]4.019[/C][C]7.58389e-05[/C][C]3.79194e-05[/C][/ROW]
[ROW][C]AMS.E2[/C][C]-0.0499354[/C][C]0.0423333[/C][C]-1.18[/C][C]0.239202[/C][C]0.119601[/C][/ROW]
[ROW][C]AMS.E3[/C][C]-0.0539204[/C][C]0.0512635[/C][C]-1.052[/C][C]0.293815[/C][C]0.146907[/C][/ROW]
[ROW][C]AMS.A[/C][C]-0.254327[/C][C]0.0488242[/C][C]-5.209[/C][C]3.76193e-07[/C][C]1.88096e-07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264621&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264621&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)8.211851.615015.0856.87775e-073.43888e-07
AMS.I20.2960620.04873266.0754.17743e-092.08871e-09
AMS.I30.3140970.04075077.7082.43424e-131.21712e-13
AMS.E10.2428070.06041734.0197.58389e-053.79194e-05
AMS.E2-0.04993540.0423333-1.180.2392020.119601
AMS.E3-0.05392040.0512635-1.0520.2938150.146907
AMS.A-0.2543270.0488242-5.2093.76193e-071.88096e-07






Multiple Linear Regression - Regression Statistics
Multiple R0.758931
R-squared0.575976
Adjusted R-squared0.566588
F-TEST (value)61.3524
F-TEST (DF numerator)6
F-TEST (DF denominator)271
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.44556
Sum Squared Residuals1620.79

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.758931 \tabularnewline
R-squared & 0.575976 \tabularnewline
Adjusted R-squared & 0.566588 \tabularnewline
F-TEST (value) & 61.3524 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 271 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.44556 \tabularnewline
Sum Squared Residuals & 1620.79 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264621&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.758931[/C][/ROW]
[ROW][C]R-squared[/C][C]0.575976[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.566588[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]61.3524[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]271[/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]2.44556[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1620.79[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264621&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264621&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 R0.758931
R-squared0.575976
Adjusted R-squared0.566588
F-TEST (value)61.3524
F-TEST (DF numerator)6
F-TEST (DF denominator)271
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.44556
Sum Squared Residuals1620.79






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11114.4546-3.45461
21922.367-3.36696
31616.9919-0.991925
42423.06720.932846
51518.4866-3.48659
61720.5667-3.5667
71920.7097-1.70974
81914.68564.31439
92828.1696-0.16963
102623.70422.29576
111520.0975-5.09748
122624.32231.67766
131620.1653-4.16532
142421.35142.64856
152524.60580.394167
162220.95231.04774
171518.1602-3.16019
182121.8655-0.865459
192220.05841.9416
202725.021.98002
212623.25852.74146
222620.6385.36201
232221.28180.718162
242121.4862-0.48623
252221.34710.65288
262019.78360.216383
272121.2818-0.281792
282017.812.18995
292222.7142-0.714161
302120.60150.398464
31815.899-7.89903
322217.94014.05987
332022.2376-2.23764
342416.55527.44479
351719.5918-2.59184
362021.0836-1.0836
372319.73483.26517
382019.17030.829711
392221.7930.207006
401918.79970.200283
411517.3741-2.37412
422018.80041.19962
432220.09941.90055
441716.12790.872145
451415.2799-1.27989
462423.91780.0822252
471718.0607-1.06074
482323.4251-0.425136
492523.41371.58631
501619.156-3.15603
511822.2112-4.21123
522018.22961.77044
531818.7285-0.728533
542325.0339-2.03385
552421.36882.63124
562319.47223.52783
571318.0386-5.03865
582018.27481.72521
592018.60261.39736
601919.4681-0.468137
612220.99331.00667
622221.58980.410223
631515.7447-0.744702
641717.5473-0.547267
651919.1191-0.119129
662016.75823.24184
672223.7678-1.76784
682122.3494-1.34941
692119.05071.94927
701617.2804-1.28037
712019.10450.895454
722120.11920.880799
732019.69110.308877
742324.1949-1.19491
751816.81541.18463
761618.1828-2.18279
771715.82611.17394
782423.57610.423941
791317.3914-4.39141
801920.6333-1.63326
812019.37050.629454
822220.80481.19522
831920.1511-1.15106
842122.2852-1.28523
851514.84640.153606
862121.146-0.145976
872422.40531.5947
882222.9337-0.933665
892020.6282-0.628152
902121.0795-0.0794888
911919.4824-0.482444
921413.99320.00682008
932524.53410.465859
941113.4761-2.47614
951719.7051-2.70515
962224.3029-2.30285
972020.5663-0.56634
982220.09421.90584
991519.7184-4.71836
1002322.89880.101246
1012022.0219-2.02186
1022224.6054-2.60535
1031613.78832.21166
1042522.36052.63953
1051819.5658-1.56578
1061919.3427-0.342749
1072518.22356.77655
1082119.54041.45958
1092221.8930.107029
1102121.6413-0.641292
1112223.1463-1.14634
1122322.15530.844732
1132020.2643-0.264251
114614.3491-8.34915
1151517.6423-2.64225
1161822.2966-4.29657
1172420.3863.61401
1182216.36625.63382
1192120.18850.811537
1202323.1125-0.112494
1212021.63-1.63003
1222019.13770.862303
1231817.50310.496944
1242523.99921.00082
1251621.8756-5.87565
1262021.7009-1.70094
1271416.2615-2.26148
1282220.94221.05782
1292625.75980.24018
1302018.20451.79547
1311717.6637-0.663743
1322222.1566-0.156594
1332219.85572.14433
1342023.4138-3.41382
1351714.16952.8305
1362224.5634-2.56336
1371718.9928-1.99277
1382219.94092.0591
1392121.0201-0.0200994
1402520.5934.407
1411110.26640.733605
1421919.0373-0.0372553
1432423.74310.256942
1441720.3375-3.33749
1452220.13411.86592
1461717.1156-0.115574
1472624.64661.35343
1482019.06050.939549
1491918.88650.113536
1502119.19151.80851
1512421.68282.31718
1522121.2161-0.216113
1531920.9401-1.94007
1541315.4643-2.46426
1552424.7264-0.726374
1562822.53325.46683
1572724.57512.42489
1582219.11452.88553
1592322.93180.0682465
1601916.33042.66963
1611818.9702-0.970213
1622321.92941.07056
1632117.96623.03378
1642221.3030.697015
1651718.6933-1.6933
1661517.6484-2.64841
1672118.4892.51101
1682019.9110.0890119
1692623.27182.72822
1701921.1767-2.17668
1712826.20361.79635
1722118.6312.36897
1731921.4213-2.42135
1742220.25091.74914
1752119.88971.11033
1762019.94950.0505365
1771917.41331.58673
1781113.8321-2.83214
1791719.8024-2.80236
1801917.94041.05963
1812019.06710.932932
1821716.77350.226517
1832117.96883.03119
1842121.4816-0.481579
1851214.0518-2.05182
1862319.90083.09919
1872220.86751.13249
1882221.76460.23544
1892122.0199-1.01986
1902020.8814-0.881428
1911818.1072-0.10724
1922123.9249-2.92495
1932422.2261.77395
1942222.0091-0.0090843
1952017.19242.80756
1961717.0175-0.0174612
1971918.73210.267944
1981619.2368-3.23675
1991920.3093-1.30926
2002324.9364-1.93641
201813.5169-5.51693
2022222.7033-0.70333
2032321.36981.63022
2041519.0806-4.08063
2051721.4172-4.41716
2062117.73383.26621
2072520.53784.46222
2081813.47074.52932
2092018.39021.60985
2102119.27461.72542
2112120.34290.657133
2122419.97864.02135
2132222.0085-0.00847264
2142221.06840.931551
2152320.68692.31312
2161718.259-1.25898
2171515.6097-0.609667
2182221.88010.119932
2191916.96542.03461
2201820.0031-2.0031
2212122.6536-1.65365
2222022.2142-2.21419
2231919.791-0.791046
2241917.99741.00258
2251620.4786-4.47858
2261815.59042.40955
2272322.5350.465021
2282222.8069-0.806853
2292322.56730.432712
2302019.9230.0769501
2312422.4271.57299
2322518.14266.85741
2332523.78141.2186
2342020.1552-0.155233
2352319.82843.17157
2362121.2574-0.257367
2372320.05612.9439
2382320.46712.53287
2391116.5968-5.59681
2402124.1671-3.1671
2412723.4573.54299
2421920.4976-1.49756
2432121.3082-0.308198
2441616.7505-0.750541
2452118.27342.72662
2462221.450.549964
2471620.13-4.12998
2481815.62922.37079
2492323.5501-0.550115
2502421.71822.2818
2512020.8532-0.853155
2522019.16160.838431
2531819.4418-1.44183
254410.1304-6.13038
2551414.8521-0.852068
2562221.50440.495611
2571722.6113-5.61133
2582323.2245-0.224491
2592019.24820.751812
2601817.58360.416432
2611917.2121.78803
2622021.3697-1.36966
2631516.1275-1.12751
2642420.43243.56755
2652120.39110.608878
2661919.8953-0.895259
2671916.21792.78211
2682726.30890.691108
2692322.97810.0218622
2702322.2380.762006
2712023.4816-3.48159
2721719.6984-2.69845
2732120.75160.248396
2742321.34191.65814
2752221.57970.420336
2761618.4751-2.47507
2772021.4124-1.41236
2781614.55961.44037

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 11 & 14.4546 & -3.45461 \tabularnewline
2 & 19 & 22.367 & -3.36696 \tabularnewline
3 & 16 & 16.9919 & -0.991925 \tabularnewline
4 & 24 & 23.0672 & 0.932846 \tabularnewline
5 & 15 & 18.4866 & -3.48659 \tabularnewline
6 & 17 & 20.5667 & -3.5667 \tabularnewline
7 & 19 & 20.7097 & -1.70974 \tabularnewline
8 & 19 & 14.6856 & 4.31439 \tabularnewline
9 & 28 & 28.1696 & -0.16963 \tabularnewline
10 & 26 & 23.7042 & 2.29576 \tabularnewline
11 & 15 & 20.0975 & -5.09748 \tabularnewline
12 & 26 & 24.3223 & 1.67766 \tabularnewline
13 & 16 & 20.1653 & -4.16532 \tabularnewline
14 & 24 & 21.3514 & 2.64856 \tabularnewline
15 & 25 & 24.6058 & 0.394167 \tabularnewline
16 & 22 & 20.9523 & 1.04774 \tabularnewline
17 & 15 & 18.1602 & -3.16019 \tabularnewline
18 & 21 & 21.8655 & -0.865459 \tabularnewline
19 & 22 & 20.0584 & 1.9416 \tabularnewline
20 & 27 & 25.02 & 1.98002 \tabularnewline
21 & 26 & 23.2585 & 2.74146 \tabularnewline
22 & 26 & 20.638 & 5.36201 \tabularnewline
23 & 22 & 21.2818 & 0.718162 \tabularnewline
24 & 21 & 21.4862 & -0.48623 \tabularnewline
25 & 22 & 21.3471 & 0.65288 \tabularnewline
26 & 20 & 19.7836 & 0.216383 \tabularnewline
27 & 21 & 21.2818 & -0.281792 \tabularnewline
28 & 20 & 17.81 & 2.18995 \tabularnewline
29 & 22 & 22.7142 & -0.714161 \tabularnewline
30 & 21 & 20.6015 & 0.398464 \tabularnewline
31 & 8 & 15.899 & -7.89903 \tabularnewline
32 & 22 & 17.9401 & 4.05987 \tabularnewline
33 & 20 & 22.2376 & -2.23764 \tabularnewline
34 & 24 & 16.5552 & 7.44479 \tabularnewline
35 & 17 & 19.5918 & -2.59184 \tabularnewline
36 & 20 & 21.0836 & -1.0836 \tabularnewline
37 & 23 & 19.7348 & 3.26517 \tabularnewline
38 & 20 & 19.1703 & 0.829711 \tabularnewline
39 & 22 & 21.793 & 0.207006 \tabularnewline
40 & 19 & 18.7997 & 0.200283 \tabularnewline
41 & 15 & 17.3741 & -2.37412 \tabularnewline
42 & 20 & 18.8004 & 1.19962 \tabularnewline
43 & 22 & 20.0994 & 1.90055 \tabularnewline
44 & 17 & 16.1279 & 0.872145 \tabularnewline
45 & 14 & 15.2799 & -1.27989 \tabularnewline
46 & 24 & 23.9178 & 0.0822252 \tabularnewline
47 & 17 & 18.0607 & -1.06074 \tabularnewline
48 & 23 & 23.4251 & -0.425136 \tabularnewline
49 & 25 & 23.4137 & 1.58631 \tabularnewline
50 & 16 & 19.156 & -3.15603 \tabularnewline
51 & 18 & 22.2112 & -4.21123 \tabularnewline
52 & 20 & 18.2296 & 1.77044 \tabularnewline
53 & 18 & 18.7285 & -0.728533 \tabularnewline
54 & 23 & 25.0339 & -2.03385 \tabularnewline
55 & 24 & 21.3688 & 2.63124 \tabularnewline
56 & 23 & 19.4722 & 3.52783 \tabularnewline
57 & 13 & 18.0386 & -5.03865 \tabularnewline
58 & 20 & 18.2748 & 1.72521 \tabularnewline
59 & 20 & 18.6026 & 1.39736 \tabularnewline
60 & 19 & 19.4681 & -0.468137 \tabularnewline
61 & 22 & 20.9933 & 1.00667 \tabularnewline
62 & 22 & 21.5898 & 0.410223 \tabularnewline
63 & 15 & 15.7447 & -0.744702 \tabularnewline
64 & 17 & 17.5473 & -0.547267 \tabularnewline
65 & 19 & 19.1191 & -0.119129 \tabularnewline
66 & 20 & 16.7582 & 3.24184 \tabularnewline
67 & 22 & 23.7678 & -1.76784 \tabularnewline
68 & 21 & 22.3494 & -1.34941 \tabularnewline
69 & 21 & 19.0507 & 1.94927 \tabularnewline
70 & 16 & 17.2804 & -1.28037 \tabularnewline
71 & 20 & 19.1045 & 0.895454 \tabularnewline
72 & 21 & 20.1192 & 0.880799 \tabularnewline
73 & 20 & 19.6911 & 0.308877 \tabularnewline
74 & 23 & 24.1949 & -1.19491 \tabularnewline
75 & 18 & 16.8154 & 1.18463 \tabularnewline
76 & 16 & 18.1828 & -2.18279 \tabularnewline
77 & 17 & 15.8261 & 1.17394 \tabularnewline
78 & 24 & 23.5761 & 0.423941 \tabularnewline
79 & 13 & 17.3914 & -4.39141 \tabularnewline
80 & 19 & 20.6333 & -1.63326 \tabularnewline
81 & 20 & 19.3705 & 0.629454 \tabularnewline
82 & 22 & 20.8048 & 1.19522 \tabularnewline
83 & 19 & 20.1511 & -1.15106 \tabularnewline
84 & 21 & 22.2852 & -1.28523 \tabularnewline
85 & 15 & 14.8464 & 0.153606 \tabularnewline
86 & 21 & 21.146 & -0.145976 \tabularnewline
87 & 24 & 22.4053 & 1.5947 \tabularnewline
88 & 22 & 22.9337 & -0.933665 \tabularnewline
89 & 20 & 20.6282 & -0.628152 \tabularnewline
90 & 21 & 21.0795 & -0.0794888 \tabularnewline
91 & 19 & 19.4824 & -0.482444 \tabularnewline
92 & 14 & 13.9932 & 0.00682008 \tabularnewline
93 & 25 & 24.5341 & 0.465859 \tabularnewline
94 & 11 & 13.4761 & -2.47614 \tabularnewline
95 & 17 & 19.7051 & -2.70515 \tabularnewline
96 & 22 & 24.3029 & -2.30285 \tabularnewline
97 & 20 & 20.5663 & -0.56634 \tabularnewline
98 & 22 & 20.0942 & 1.90584 \tabularnewline
99 & 15 & 19.7184 & -4.71836 \tabularnewline
100 & 23 & 22.8988 & 0.101246 \tabularnewline
101 & 20 & 22.0219 & -2.02186 \tabularnewline
102 & 22 & 24.6054 & -2.60535 \tabularnewline
103 & 16 & 13.7883 & 2.21166 \tabularnewline
104 & 25 & 22.3605 & 2.63953 \tabularnewline
105 & 18 & 19.5658 & -1.56578 \tabularnewline
106 & 19 & 19.3427 & -0.342749 \tabularnewline
107 & 25 & 18.2235 & 6.77655 \tabularnewline
108 & 21 & 19.5404 & 1.45958 \tabularnewline
109 & 22 & 21.893 & 0.107029 \tabularnewline
110 & 21 & 21.6413 & -0.641292 \tabularnewline
111 & 22 & 23.1463 & -1.14634 \tabularnewline
112 & 23 & 22.1553 & 0.844732 \tabularnewline
113 & 20 & 20.2643 & -0.264251 \tabularnewline
114 & 6 & 14.3491 & -8.34915 \tabularnewline
115 & 15 & 17.6423 & -2.64225 \tabularnewline
116 & 18 & 22.2966 & -4.29657 \tabularnewline
117 & 24 & 20.386 & 3.61401 \tabularnewline
118 & 22 & 16.3662 & 5.63382 \tabularnewline
119 & 21 & 20.1885 & 0.811537 \tabularnewline
120 & 23 & 23.1125 & -0.112494 \tabularnewline
121 & 20 & 21.63 & -1.63003 \tabularnewline
122 & 20 & 19.1377 & 0.862303 \tabularnewline
123 & 18 & 17.5031 & 0.496944 \tabularnewline
124 & 25 & 23.9992 & 1.00082 \tabularnewline
125 & 16 & 21.8756 & -5.87565 \tabularnewline
126 & 20 & 21.7009 & -1.70094 \tabularnewline
127 & 14 & 16.2615 & -2.26148 \tabularnewline
128 & 22 & 20.9422 & 1.05782 \tabularnewline
129 & 26 & 25.7598 & 0.24018 \tabularnewline
130 & 20 & 18.2045 & 1.79547 \tabularnewline
131 & 17 & 17.6637 & -0.663743 \tabularnewline
132 & 22 & 22.1566 & -0.156594 \tabularnewline
133 & 22 & 19.8557 & 2.14433 \tabularnewline
134 & 20 & 23.4138 & -3.41382 \tabularnewline
135 & 17 & 14.1695 & 2.8305 \tabularnewline
136 & 22 & 24.5634 & -2.56336 \tabularnewline
137 & 17 & 18.9928 & -1.99277 \tabularnewline
138 & 22 & 19.9409 & 2.0591 \tabularnewline
139 & 21 & 21.0201 & -0.0200994 \tabularnewline
140 & 25 & 20.593 & 4.407 \tabularnewline
141 & 11 & 10.2664 & 0.733605 \tabularnewline
142 & 19 & 19.0373 & -0.0372553 \tabularnewline
143 & 24 & 23.7431 & 0.256942 \tabularnewline
144 & 17 & 20.3375 & -3.33749 \tabularnewline
145 & 22 & 20.1341 & 1.86592 \tabularnewline
146 & 17 & 17.1156 & -0.115574 \tabularnewline
147 & 26 & 24.6466 & 1.35343 \tabularnewline
148 & 20 & 19.0605 & 0.939549 \tabularnewline
149 & 19 & 18.8865 & 0.113536 \tabularnewline
150 & 21 & 19.1915 & 1.80851 \tabularnewline
151 & 24 & 21.6828 & 2.31718 \tabularnewline
152 & 21 & 21.2161 & -0.216113 \tabularnewline
153 & 19 & 20.9401 & -1.94007 \tabularnewline
154 & 13 & 15.4643 & -2.46426 \tabularnewline
155 & 24 & 24.7264 & -0.726374 \tabularnewline
156 & 28 & 22.5332 & 5.46683 \tabularnewline
157 & 27 & 24.5751 & 2.42489 \tabularnewline
158 & 22 & 19.1145 & 2.88553 \tabularnewline
159 & 23 & 22.9318 & 0.0682465 \tabularnewline
160 & 19 & 16.3304 & 2.66963 \tabularnewline
161 & 18 & 18.9702 & -0.970213 \tabularnewline
162 & 23 & 21.9294 & 1.07056 \tabularnewline
163 & 21 & 17.9662 & 3.03378 \tabularnewline
164 & 22 & 21.303 & 0.697015 \tabularnewline
165 & 17 & 18.6933 & -1.6933 \tabularnewline
166 & 15 & 17.6484 & -2.64841 \tabularnewline
167 & 21 & 18.489 & 2.51101 \tabularnewline
168 & 20 & 19.911 & 0.0890119 \tabularnewline
169 & 26 & 23.2718 & 2.72822 \tabularnewline
170 & 19 & 21.1767 & -2.17668 \tabularnewline
171 & 28 & 26.2036 & 1.79635 \tabularnewline
172 & 21 & 18.631 & 2.36897 \tabularnewline
173 & 19 & 21.4213 & -2.42135 \tabularnewline
174 & 22 & 20.2509 & 1.74914 \tabularnewline
175 & 21 & 19.8897 & 1.11033 \tabularnewline
176 & 20 & 19.9495 & 0.0505365 \tabularnewline
177 & 19 & 17.4133 & 1.58673 \tabularnewline
178 & 11 & 13.8321 & -2.83214 \tabularnewline
179 & 17 & 19.8024 & -2.80236 \tabularnewline
180 & 19 & 17.9404 & 1.05963 \tabularnewline
181 & 20 & 19.0671 & 0.932932 \tabularnewline
182 & 17 & 16.7735 & 0.226517 \tabularnewline
183 & 21 & 17.9688 & 3.03119 \tabularnewline
184 & 21 & 21.4816 & -0.481579 \tabularnewline
185 & 12 & 14.0518 & -2.05182 \tabularnewline
186 & 23 & 19.9008 & 3.09919 \tabularnewline
187 & 22 & 20.8675 & 1.13249 \tabularnewline
188 & 22 & 21.7646 & 0.23544 \tabularnewline
189 & 21 & 22.0199 & -1.01986 \tabularnewline
190 & 20 & 20.8814 & -0.881428 \tabularnewline
191 & 18 & 18.1072 & -0.10724 \tabularnewline
192 & 21 & 23.9249 & -2.92495 \tabularnewline
193 & 24 & 22.226 & 1.77395 \tabularnewline
194 & 22 & 22.0091 & -0.0090843 \tabularnewline
195 & 20 & 17.1924 & 2.80756 \tabularnewline
196 & 17 & 17.0175 & -0.0174612 \tabularnewline
197 & 19 & 18.7321 & 0.267944 \tabularnewline
198 & 16 & 19.2368 & -3.23675 \tabularnewline
199 & 19 & 20.3093 & -1.30926 \tabularnewline
200 & 23 & 24.9364 & -1.93641 \tabularnewline
201 & 8 & 13.5169 & -5.51693 \tabularnewline
202 & 22 & 22.7033 & -0.70333 \tabularnewline
203 & 23 & 21.3698 & 1.63022 \tabularnewline
204 & 15 & 19.0806 & -4.08063 \tabularnewline
205 & 17 & 21.4172 & -4.41716 \tabularnewline
206 & 21 & 17.7338 & 3.26621 \tabularnewline
207 & 25 & 20.5378 & 4.46222 \tabularnewline
208 & 18 & 13.4707 & 4.52932 \tabularnewline
209 & 20 & 18.3902 & 1.60985 \tabularnewline
210 & 21 & 19.2746 & 1.72542 \tabularnewline
211 & 21 & 20.3429 & 0.657133 \tabularnewline
212 & 24 & 19.9786 & 4.02135 \tabularnewline
213 & 22 & 22.0085 & -0.00847264 \tabularnewline
214 & 22 & 21.0684 & 0.931551 \tabularnewline
215 & 23 & 20.6869 & 2.31312 \tabularnewline
216 & 17 & 18.259 & -1.25898 \tabularnewline
217 & 15 & 15.6097 & -0.609667 \tabularnewline
218 & 22 & 21.8801 & 0.119932 \tabularnewline
219 & 19 & 16.9654 & 2.03461 \tabularnewline
220 & 18 & 20.0031 & -2.0031 \tabularnewline
221 & 21 & 22.6536 & -1.65365 \tabularnewline
222 & 20 & 22.2142 & -2.21419 \tabularnewline
223 & 19 & 19.791 & -0.791046 \tabularnewline
224 & 19 & 17.9974 & 1.00258 \tabularnewline
225 & 16 & 20.4786 & -4.47858 \tabularnewline
226 & 18 & 15.5904 & 2.40955 \tabularnewline
227 & 23 & 22.535 & 0.465021 \tabularnewline
228 & 22 & 22.8069 & -0.806853 \tabularnewline
229 & 23 & 22.5673 & 0.432712 \tabularnewline
230 & 20 & 19.923 & 0.0769501 \tabularnewline
231 & 24 & 22.427 & 1.57299 \tabularnewline
232 & 25 & 18.1426 & 6.85741 \tabularnewline
233 & 25 & 23.7814 & 1.2186 \tabularnewline
234 & 20 & 20.1552 & -0.155233 \tabularnewline
235 & 23 & 19.8284 & 3.17157 \tabularnewline
236 & 21 & 21.2574 & -0.257367 \tabularnewline
237 & 23 & 20.0561 & 2.9439 \tabularnewline
238 & 23 & 20.4671 & 2.53287 \tabularnewline
239 & 11 & 16.5968 & -5.59681 \tabularnewline
240 & 21 & 24.1671 & -3.1671 \tabularnewline
241 & 27 & 23.457 & 3.54299 \tabularnewline
242 & 19 & 20.4976 & -1.49756 \tabularnewline
243 & 21 & 21.3082 & -0.308198 \tabularnewline
244 & 16 & 16.7505 & -0.750541 \tabularnewline
245 & 21 & 18.2734 & 2.72662 \tabularnewline
246 & 22 & 21.45 & 0.549964 \tabularnewline
247 & 16 & 20.13 & -4.12998 \tabularnewline
248 & 18 & 15.6292 & 2.37079 \tabularnewline
249 & 23 & 23.5501 & -0.550115 \tabularnewline
250 & 24 & 21.7182 & 2.2818 \tabularnewline
251 & 20 & 20.8532 & -0.853155 \tabularnewline
252 & 20 & 19.1616 & 0.838431 \tabularnewline
253 & 18 & 19.4418 & -1.44183 \tabularnewline
254 & 4 & 10.1304 & -6.13038 \tabularnewline
255 & 14 & 14.8521 & -0.852068 \tabularnewline
256 & 22 & 21.5044 & 0.495611 \tabularnewline
257 & 17 & 22.6113 & -5.61133 \tabularnewline
258 & 23 & 23.2245 & -0.224491 \tabularnewline
259 & 20 & 19.2482 & 0.751812 \tabularnewline
260 & 18 & 17.5836 & 0.416432 \tabularnewline
261 & 19 & 17.212 & 1.78803 \tabularnewline
262 & 20 & 21.3697 & -1.36966 \tabularnewline
263 & 15 & 16.1275 & -1.12751 \tabularnewline
264 & 24 & 20.4324 & 3.56755 \tabularnewline
265 & 21 & 20.3911 & 0.608878 \tabularnewline
266 & 19 & 19.8953 & -0.895259 \tabularnewline
267 & 19 & 16.2179 & 2.78211 \tabularnewline
268 & 27 & 26.3089 & 0.691108 \tabularnewline
269 & 23 & 22.9781 & 0.0218622 \tabularnewline
270 & 23 & 22.238 & 0.762006 \tabularnewline
271 & 20 & 23.4816 & -3.48159 \tabularnewline
272 & 17 & 19.6984 & -2.69845 \tabularnewline
273 & 21 & 20.7516 & 0.248396 \tabularnewline
274 & 23 & 21.3419 & 1.65814 \tabularnewline
275 & 22 & 21.5797 & 0.420336 \tabularnewline
276 & 16 & 18.4751 & -2.47507 \tabularnewline
277 & 20 & 21.4124 & -1.41236 \tabularnewline
278 & 16 & 14.5596 & 1.44037 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264621&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]11[/C][C]14.4546[/C][C]-3.45461[/C][/ROW]
[ROW][C]2[/C][C]19[/C][C]22.367[/C][C]-3.36696[/C][/ROW]
[ROW][C]3[/C][C]16[/C][C]16.9919[/C][C]-0.991925[/C][/ROW]
[ROW][C]4[/C][C]24[/C][C]23.0672[/C][C]0.932846[/C][/ROW]
[ROW][C]5[/C][C]15[/C][C]18.4866[/C][C]-3.48659[/C][/ROW]
[ROW][C]6[/C][C]17[/C][C]20.5667[/C][C]-3.5667[/C][/ROW]
[ROW][C]7[/C][C]19[/C][C]20.7097[/C][C]-1.70974[/C][/ROW]
[ROW][C]8[/C][C]19[/C][C]14.6856[/C][C]4.31439[/C][/ROW]
[ROW][C]9[/C][C]28[/C][C]28.1696[/C][C]-0.16963[/C][/ROW]
[ROW][C]10[/C][C]26[/C][C]23.7042[/C][C]2.29576[/C][/ROW]
[ROW][C]11[/C][C]15[/C][C]20.0975[/C][C]-5.09748[/C][/ROW]
[ROW][C]12[/C][C]26[/C][C]24.3223[/C][C]1.67766[/C][/ROW]
[ROW][C]13[/C][C]16[/C][C]20.1653[/C][C]-4.16532[/C][/ROW]
[ROW][C]14[/C][C]24[/C][C]21.3514[/C][C]2.64856[/C][/ROW]
[ROW][C]15[/C][C]25[/C][C]24.6058[/C][C]0.394167[/C][/ROW]
[ROW][C]16[/C][C]22[/C][C]20.9523[/C][C]1.04774[/C][/ROW]
[ROW][C]17[/C][C]15[/C][C]18.1602[/C][C]-3.16019[/C][/ROW]
[ROW][C]18[/C][C]21[/C][C]21.8655[/C][C]-0.865459[/C][/ROW]
[ROW][C]19[/C][C]22[/C][C]20.0584[/C][C]1.9416[/C][/ROW]
[ROW][C]20[/C][C]27[/C][C]25.02[/C][C]1.98002[/C][/ROW]
[ROW][C]21[/C][C]26[/C][C]23.2585[/C][C]2.74146[/C][/ROW]
[ROW][C]22[/C][C]26[/C][C]20.638[/C][C]5.36201[/C][/ROW]
[ROW][C]23[/C][C]22[/C][C]21.2818[/C][C]0.718162[/C][/ROW]
[ROW][C]24[/C][C]21[/C][C]21.4862[/C][C]-0.48623[/C][/ROW]
[ROW][C]25[/C][C]22[/C][C]21.3471[/C][C]0.65288[/C][/ROW]
[ROW][C]26[/C][C]20[/C][C]19.7836[/C][C]0.216383[/C][/ROW]
[ROW][C]27[/C][C]21[/C][C]21.2818[/C][C]-0.281792[/C][/ROW]
[ROW][C]28[/C][C]20[/C][C]17.81[/C][C]2.18995[/C][/ROW]
[ROW][C]29[/C][C]22[/C][C]22.7142[/C][C]-0.714161[/C][/ROW]
[ROW][C]30[/C][C]21[/C][C]20.6015[/C][C]0.398464[/C][/ROW]
[ROW][C]31[/C][C]8[/C][C]15.899[/C][C]-7.89903[/C][/ROW]
[ROW][C]32[/C][C]22[/C][C]17.9401[/C][C]4.05987[/C][/ROW]
[ROW][C]33[/C][C]20[/C][C]22.2376[/C][C]-2.23764[/C][/ROW]
[ROW][C]34[/C][C]24[/C][C]16.5552[/C][C]7.44479[/C][/ROW]
[ROW][C]35[/C][C]17[/C][C]19.5918[/C][C]-2.59184[/C][/ROW]
[ROW][C]36[/C][C]20[/C][C]21.0836[/C][C]-1.0836[/C][/ROW]
[ROW][C]37[/C][C]23[/C][C]19.7348[/C][C]3.26517[/C][/ROW]
[ROW][C]38[/C][C]20[/C][C]19.1703[/C][C]0.829711[/C][/ROW]
[ROW][C]39[/C][C]22[/C][C]21.793[/C][C]0.207006[/C][/ROW]
[ROW][C]40[/C][C]19[/C][C]18.7997[/C][C]0.200283[/C][/ROW]
[ROW][C]41[/C][C]15[/C][C]17.3741[/C][C]-2.37412[/C][/ROW]
[ROW][C]42[/C][C]20[/C][C]18.8004[/C][C]1.19962[/C][/ROW]
[ROW][C]43[/C][C]22[/C][C]20.0994[/C][C]1.90055[/C][/ROW]
[ROW][C]44[/C][C]17[/C][C]16.1279[/C][C]0.872145[/C][/ROW]
[ROW][C]45[/C][C]14[/C][C]15.2799[/C][C]-1.27989[/C][/ROW]
[ROW][C]46[/C][C]24[/C][C]23.9178[/C][C]0.0822252[/C][/ROW]
[ROW][C]47[/C][C]17[/C][C]18.0607[/C][C]-1.06074[/C][/ROW]
[ROW][C]48[/C][C]23[/C][C]23.4251[/C][C]-0.425136[/C][/ROW]
[ROW][C]49[/C][C]25[/C][C]23.4137[/C][C]1.58631[/C][/ROW]
[ROW][C]50[/C][C]16[/C][C]19.156[/C][C]-3.15603[/C][/ROW]
[ROW][C]51[/C][C]18[/C][C]22.2112[/C][C]-4.21123[/C][/ROW]
[ROW][C]52[/C][C]20[/C][C]18.2296[/C][C]1.77044[/C][/ROW]
[ROW][C]53[/C][C]18[/C][C]18.7285[/C][C]-0.728533[/C][/ROW]
[ROW][C]54[/C][C]23[/C][C]25.0339[/C][C]-2.03385[/C][/ROW]
[ROW][C]55[/C][C]24[/C][C]21.3688[/C][C]2.63124[/C][/ROW]
[ROW][C]56[/C][C]23[/C][C]19.4722[/C][C]3.52783[/C][/ROW]
[ROW][C]57[/C][C]13[/C][C]18.0386[/C][C]-5.03865[/C][/ROW]
[ROW][C]58[/C][C]20[/C][C]18.2748[/C][C]1.72521[/C][/ROW]
[ROW][C]59[/C][C]20[/C][C]18.6026[/C][C]1.39736[/C][/ROW]
[ROW][C]60[/C][C]19[/C][C]19.4681[/C][C]-0.468137[/C][/ROW]
[ROW][C]61[/C][C]22[/C][C]20.9933[/C][C]1.00667[/C][/ROW]
[ROW][C]62[/C][C]22[/C][C]21.5898[/C][C]0.410223[/C][/ROW]
[ROW][C]63[/C][C]15[/C][C]15.7447[/C][C]-0.744702[/C][/ROW]
[ROW][C]64[/C][C]17[/C][C]17.5473[/C][C]-0.547267[/C][/ROW]
[ROW][C]65[/C][C]19[/C][C]19.1191[/C][C]-0.119129[/C][/ROW]
[ROW][C]66[/C][C]20[/C][C]16.7582[/C][C]3.24184[/C][/ROW]
[ROW][C]67[/C][C]22[/C][C]23.7678[/C][C]-1.76784[/C][/ROW]
[ROW][C]68[/C][C]21[/C][C]22.3494[/C][C]-1.34941[/C][/ROW]
[ROW][C]69[/C][C]21[/C][C]19.0507[/C][C]1.94927[/C][/ROW]
[ROW][C]70[/C][C]16[/C][C]17.2804[/C][C]-1.28037[/C][/ROW]
[ROW][C]71[/C][C]20[/C][C]19.1045[/C][C]0.895454[/C][/ROW]
[ROW][C]72[/C][C]21[/C][C]20.1192[/C][C]0.880799[/C][/ROW]
[ROW][C]73[/C][C]20[/C][C]19.6911[/C][C]0.308877[/C][/ROW]
[ROW][C]74[/C][C]23[/C][C]24.1949[/C][C]-1.19491[/C][/ROW]
[ROW][C]75[/C][C]18[/C][C]16.8154[/C][C]1.18463[/C][/ROW]
[ROW][C]76[/C][C]16[/C][C]18.1828[/C][C]-2.18279[/C][/ROW]
[ROW][C]77[/C][C]17[/C][C]15.8261[/C][C]1.17394[/C][/ROW]
[ROW][C]78[/C][C]24[/C][C]23.5761[/C][C]0.423941[/C][/ROW]
[ROW][C]79[/C][C]13[/C][C]17.3914[/C][C]-4.39141[/C][/ROW]
[ROW][C]80[/C][C]19[/C][C]20.6333[/C][C]-1.63326[/C][/ROW]
[ROW][C]81[/C][C]20[/C][C]19.3705[/C][C]0.629454[/C][/ROW]
[ROW][C]82[/C][C]22[/C][C]20.8048[/C][C]1.19522[/C][/ROW]
[ROW][C]83[/C][C]19[/C][C]20.1511[/C][C]-1.15106[/C][/ROW]
[ROW][C]84[/C][C]21[/C][C]22.2852[/C][C]-1.28523[/C][/ROW]
[ROW][C]85[/C][C]15[/C][C]14.8464[/C][C]0.153606[/C][/ROW]
[ROW][C]86[/C][C]21[/C][C]21.146[/C][C]-0.145976[/C][/ROW]
[ROW][C]87[/C][C]24[/C][C]22.4053[/C][C]1.5947[/C][/ROW]
[ROW][C]88[/C][C]22[/C][C]22.9337[/C][C]-0.933665[/C][/ROW]
[ROW][C]89[/C][C]20[/C][C]20.6282[/C][C]-0.628152[/C][/ROW]
[ROW][C]90[/C][C]21[/C][C]21.0795[/C][C]-0.0794888[/C][/ROW]
[ROW][C]91[/C][C]19[/C][C]19.4824[/C][C]-0.482444[/C][/ROW]
[ROW][C]92[/C][C]14[/C][C]13.9932[/C][C]0.00682008[/C][/ROW]
[ROW][C]93[/C][C]25[/C][C]24.5341[/C][C]0.465859[/C][/ROW]
[ROW][C]94[/C][C]11[/C][C]13.4761[/C][C]-2.47614[/C][/ROW]
[ROW][C]95[/C][C]17[/C][C]19.7051[/C][C]-2.70515[/C][/ROW]
[ROW][C]96[/C][C]22[/C][C]24.3029[/C][C]-2.30285[/C][/ROW]
[ROW][C]97[/C][C]20[/C][C]20.5663[/C][C]-0.56634[/C][/ROW]
[ROW][C]98[/C][C]22[/C][C]20.0942[/C][C]1.90584[/C][/ROW]
[ROW][C]99[/C][C]15[/C][C]19.7184[/C][C]-4.71836[/C][/ROW]
[ROW][C]100[/C][C]23[/C][C]22.8988[/C][C]0.101246[/C][/ROW]
[ROW][C]101[/C][C]20[/C][C]22.0219[/C][C]-2.02186[/C][/ROW]
[ROW][C]102[/C][C]22[/C][C]24.6054[/C][C]-2.60535[/C][/ROW]
[ROW][C]103[/C][C]16[/C][C]13.7883[/C][C]2.21166[/C][/ROW]
[ROW][C]104[/C][C]25[/C][C]22.3605[/C][C]2.63953[/C][/ROW]
[ROW][C]105[/C][C]18[/C][C]19.5658[/C][C]-1.56578[/C][/ROW]
[ROW][C]106[/C][C]19[/C][C]19.3427[/C][C]-0.342749[/C][/ROW]
[ROW][C]107[/C][C]25[/C][C]18.2235[/C][C]6.77655[/C][/ROW]
[ROW][C]108[/C][C]21[/C][C]19.5404[/C][C]1.45958[/C][/ROW]
[ROW][C]109[/C][C]22[/C][C]21.893[/C][C]0.107029[/C][/ROW]
[ROW][C]110[/C][C]21[/C][C]21.6413[/C][C]-0.641292[/C][/ROW]
[ROW][C]111[/C][C]22[/C][C]23.1463[/C][C]-1.14634[/C][/ROW]
[ROW][C]112[/C][C]23[/C][C]22.1553[/C][C]0.844732[/C][/ROW]
[ROW][C]113[/C][C]20[/C][C]20.2643[/C][C]-0.264251[/C][/ROW]
[ROW][C]114[/C][C]6[/C][C]14.3491[/C][C]-8.34915[/C][/ROW]
[ROW][C]115[/C][C]15[/C][C]17.6423[/C][C]-2.64225[/C][/ROW]
[ROW][C]116[/C][C]18[/C][C]22.2966[/C][C]-4.29657[/C][/ROW]
[ROW][C]117[/C][C]24[/C][C]20.386[/C][C]3.61401[/C][/ROW]
[ROW][C]118[/C][C]22[/C][C]16.3662[/C][C]5.63382[/C][/ROW]
[ROW][C]119[/C][C]21[/C][C]20.1885[/C][C]0.811537[/C][/ROW]
[ROW][C]120[/C][C]23[/C][C]23.1125[/C][C]-0.112494[/C][/ROW]
[ROW][C]121[/C][C]20[/C][C]21.63[/C][C]-1.63003[/C][/ROW]
[ROW][C]122[/C][C]20[/C][C]19.1377[/C][C]0.862303[/C][/ROW]
[ROW][C]123[/C][C]18[/C][C]17.5031[/C][C]0.496944[/C][/ROW]
[ROW][C]124[/C][C]25[/C][C]23.9992[/C][C]1.00082[/C][/ROW]
[ROW][C]125[/C][C]16[/C][C]21.8756[/C][C]-5.87565[/C][/ROW]
[ROW][C]126[/C][C]20[/C][C]21.7009[/C][C]-1.70094[/C][/ROW]
[ROW][C]127[/C][C]14[/C][C]16.2615[/C][C]-2.26148[/C][/ROW]
[ROW][C]128[/C][C]22[/C][C]20.9422[/C][C]1.05782[/C][/ROW]
[ROW][C]129[/C][C]26[/C][C]25.7598[/C][C]0.24018[/C][/ROW]
[ROW][C]130[/C][C]20[/C][C]18.2045[/C][C]1.79547[/C][/ROW]
[ROW][C]131[/C][C]17[/C][C]17.6637[/C][C]-0.663743[/C][/ROW]
[ROW][C]132[/C][C]22[/C][C]22.1566[/C][C]-0.156594[/C][/ROW]
[ROW][C]133[/C][C]22[/C][C]19.8557[/C][C]2.14433[/C][/ROW]
[ROW][C]134[/C][C]20[/C][C]23.4138[/C][C]-3.41382[/C][/ROW]
[ROW][C]135[/C][C]17[/C][C]14.1695[/C][C]2.8305[/C][/ROW]
[ROW][C]136[/C][C]22[/C][C]24.5634[/C][C]-2.56336[/C][/ROW]
[ROW][C]137[/C][C]17[/C][C]18.9928[/C][C]-1.99277[/C][/ROW]
[ROW][C]138[/C][C]22[/C][C]19.9409[/C][C]2.0591[/C][/ROW]
[ROW][C]139[/C][C]21[/C][C]21.0201[/C][C]-0.0200994[/C][/ROW]
[ROW][C]140[/C][C]25[/C][C]20.593[/C][C]4.407[/C][/ROW]
[ROW][C]141[/C][C]11[/C][C]10.2664[/C][C]0.733605[/C][/ROW]
[ROW][C]142[/C][C]19[/C][C]19.0373[/C][C]-0.0372553[/C][/ROW]
[ROW][C]143[/C][C]24[/C][C]23.7431[/C][C]0.256942[/C][/ROW]
[ROW][C]144[/C][C]17[/C][C]20.3375[/C][C]-3.33749[/C][/ROW]
[ROW][C]145[/C][C]22[/C][C]20.1341[/C][C]1.86592[/C][/ROW]
[ROW][C]146[/C][C]17[/C][C]17.1156[/C][C]-0.115574[/C][/ROW]
[ROW][C]147[/C][C]26[/C][C]24.6466[/C][C]1.35343[/C][/ROW]
[ROW][C]148[/C][C]20[/C][C]19.0605[/C][C]0.939549[/C][/ROW]
[ROW][C]149[/C][C]19[/C][C]18.8865[/C][C]0.113536[/C][/ROW]
[ROW][C]150[/C][C]21[/C][C]19.1915[/C][C]1.80851[/C][/ROW]
[ROW][C]151[/C][C]24[/C][C]21.6828[/C][C]2.31718[/C][/ROW]
[ROW][C]152[/C][C]21[/C][C]21.2161[/C][C]-0.216113[/C][/ROW]
[ROW][C]153[/C][C]19[/C][C]20.9401[/C][C]-1.94007[/C][/ROW]
[ROW][C]154[/C][C]13[/C][C]15.4643[/C][C]-2.46426[/C][/ROW]
[ROW][C]155[/C][C]24[/C][C]24.7264[/C][C]-0.726374[/C][/ROW]
[ROW][C]156[/C][C]28[/C][C]22.5332[/C][C]5.46683[/C][/ROW]
[ROW][C]157[/C][C]27[/C][C]24.5751[/C][C]2.42489[/C][/ROW]
[ROW][C]158[/C][C]22[/C][C]19.1145[/C][C]2.88553[/C][/ROW]
[ROW][C]159[/C][C]23[/C][C]22.9318[/C][C]0.0682465[/C][/ROW]
[ROW][C]160[/C][C]19[/C][C]16.3304[/C][C]2.66963[/C][/ROW]
[ROW][C]161[/C][C]18[/C][C]18.9702[/C][C]-0.970213[/C][/ROW]
[ROW][C]162[/C][C]23[/C][C]21.9294[/C][C]1.07056[/C][/ROW]
[ROW][C]163[/C][C]21[/C][C]17.9662[/C][C]3.03378[/C][/ROW]
[ROW][C]164[/C][C]22[/C][C]21.303[/C][C]0.697015[/C][/ROW]
[ROW][C]165[/C][C]17[/C][C]18.6933[/C][C]-1.6933[/C][/ROW]
[ROW][C]166[/C][C]15[/C][C]17.6484[/C][C]-2.64841[/C][/ROW]
[ROW][C]167[/C][C]21[/C][C]18.489[/C][C]2.51101[/C][/ROW]
[ROW][C]168[/C][C]20[/C][C]19.911[/C][C]0.0890119[/C][/ROW]
[ROW][C]169[/C][C]26[/C][C]23.2718[/C][C]2.72822[/C][/ROW]
[ROW][C]170[/C][C]19[/C][C]21.1767[/C][C]-2.17668[/C][/ROW]
[ROW][C]171[/C][C]28[/C][C]26.2036[/C][C]1.79635[/C][/ROW]
[ROW][C]172[/C][C]21[/C][C]18.631[/C][C]2.36897[/C][/ROW]
[ROW][C]173[/C][C]19[/C][C]21.4213[/C][C]-2.42135[/C][/ROW]
[ROW][C]174[/C][C]22[/C][C]20.2509[/C][C]1.74914[/C][/ROW]
[ROW][C]175[/C][C]21[/C][C]19.8897[/C][C]1.11033[/C][/ROW]
[ROW][C]176[/C][C]20[/C][C]19.9495[/C][C]0.0505365[/C][/ROW]
[ROW][C]177[/C][C]19[/C][C]17.4133[/C][C]1.58673[/C][/ROW]
[ROW][C]178[/C][C]11[/C][C]13.8321[/C][C]-2.83214[/C][/ROW]
[ROW][C]179[/C][C]17[/C][C]19.8024[/C][C]-2.80236[/C][/ROW]
[ROW][C]180[/C][C]19[/C][C]17.9404[/C][C]1.05963[/C][/ROW]
[ROW][C]181[/C][C]20[/C][C]19.0671[/C][C]0.932932[/C][/ROW]
[ROW][C]182[/C][C]17[/C][C]16.7735[/C][C]0.226517[/C][/ROW]
[ROW][C]183[/C][C]21[/C][C]17.9688[/C][C]3.03119[/C][/ROW]
[ROW][C]184[/C][C]21[/C][C]21.4816[/C][C]-0.481579[/C][/ROW]
[ROW][C]185[/C][C]12[/C][C]14.0518[/C][C]-2.05182[/C][/ROW]
[ROW][C]186[/C][C]23[/C][C]19.9008[/C][C]3.09919[/C][/ROW]
[ROW][C]187[/C][C]22[/C][C]20.8675[/C][C]1.13249[/C][/ROW]
[ROW][C]188[/C][C]22[/C][C]21.7646[/C][C]0.23544[/C][/ROW]
[ROW][C]189[/C][C]21[/C][C]22.0199[/C][C]-1.01986[/C][/ROW]
[ROW][C]190[/C][C]20[/C][C]20.8814[/C][C]-0.881428[/C][/ROW]
[ROW][C]191[/C][C]18[/C][C]18.1072[/C][C]-0.10724[/C][/ROW]
[ROW][C]192[/C][C]21[/C][C]23.9249[/C][C]-2.92495[/C][/ROW]
[ROW][C]193[/C][C]24[/C][C]22.226[/C][C]1.77395[/C][/ROW]
[ROW][C]194[/C][C]22[/C][C]22.0091[/C][C]-0.0090843[/C][/ROW]
[ROW][C]195[/C][C]20[/C][C]17.1924[/C][C]2.80756[/C][/ROW]
[ROW][C]196[/C][C]17[/C][C]17.0175[/C][C]-0.0174612[/C][/ROW]
[ROW][C]197[/C][C]19[/C][C]18.7321[/C][C]0.267944[/C][/ROW]
[ROW][C]198[/C][C]16[/C][C]19.2368[/C][C]-3.23675[/C][/ROW]
[ROW][C]199[/C][C]19[/C][C]20.3093[/C][C]-1.30926[/C][/ROW]
[ROW][C]200[/C][C]23[/C][C]24.9364[/C][C]-1.93641[/C][/ROW]
[ROW][C]201[/C][C]8[/C][C]13.5169[/C][C]-5.51693[/C][/ROW]
[ROW][C]202[/C][C]22[/C][C]22.7033[/C][C]-0.70333[/C][/ROW]
[ROW][C]203[/C][C]23[/C][C]21.3698[/C][C]1.63022[/C][/ROW]
[ROW][C]204[/C][C]15[/C][C]19.0806[/C][C]-4.08063[/C][/ROW]
[ROW][C]205[/C][C]17[/C][C]21.4172[/C][C]-4.41716[/C][/ROW]
[ROW][C]206[/C][C]21[/C][C]17.7338[/C][C]3.26621[/C][/ROW]
[ROW][C]207[/C][C]25[/C][C]20.5378[/C][C]4.46222[/C][/ROW]
[ROW][C]208[/C][C]18[/C][C]13.4707[/C][C]4.52932[/C][/ROW]
[ROW][C]209[/C][C]20[/C][C]18.3902[/C][C]1.60985[/C][/ROW]
[ROW][C]210[/C][C]21[/C][C]19.2746[/C][C]1.72542[/C][/ROW]
[ROW][C]211[/C][C]21[/C][C]20.3429[/C][C]0.657133[/C][/ROW]
[ROW][C]212[/C][C]24[/C][C]19.9786[/C][C]4.02135[/C][/ROW]
[ROW][C]213[/C][C]22[/C][C]22.0085[/C][C]-0.00847264[/C][/ROW]
[ROW][C]214[/C][C]22[/C][C]21.0684[/C][C]0.931551[/C][/ROW]
[ROW][C]215[/C][C]23[/C][C]20.6869[/C][C]2.31312[/C][/ROW]
[ROW][C]216[/C][C]17[/C][C]18.259[/C][C]-1.25898[/C][/ROW]
[ROW][C]217[/C][C]15[/C][C]15.6097[/C][C]-0.609667[/C][/ROW]
[ROW][C]218[/C][C]22[/C][C]21.8801[/C][C]0.119932[/C][/ROW]
[ROW][C]219[/C][C]19[/C][C]16.9654[/C][C]2.03461[/C][/ROW]
[ROW][C]220[/C][C]18[/C][C]20.0031[/C][C]-2.0031[/C][/ROW]
[ROW][C]221[/C][C]21[/C][C]22.6536[/C][C]-1.65365[/C][/ROW]
[ROW][C]222[/C][C]20[/C][C]22.2142[/C][C]-2.21419[/C][/ROW]
[ROW][C]223[/C][C]19[/C][C]19.791[/C][C]-0.791046[/C][/ROW]
[ROW][C]224[/C][C]19[/C][C]17.9974[/C][C]1.00258[/C][/ROW]
[ROW][C]225[/C][C]16[/C][C]20.4786[/C][C]-4.47858[/C][/ROW]
[ROW][C]226[/C][C]18[/C][C]15.5904[/C][C]2.40955[/C][/ROW]
[ROW][C]227[/C][C]23[/C][C]22.535[/C][C]0.465021[/C][/ROW]
[ROW][C]228[/C][C]22[/C][C]22.8069[/C][C]-0.806853[/C][/ROW]
[ROW][C]229[/C][C]23[/C][C]22.5673[/C][C]0.432712[/C][/ROW]
[ROW][C]230[/C][C]20[/C][C]19.923[/C][C]0.0769501[/C][/ROW]
[ROW][C]231[/C][C]24[/C][C]22.427[/C][C]1.57299[/C][/ROW]
[ROW][C]232[/C][C]25[/C][C]18.1426[/C][C]6.85741[/C][/ROW]
[ROW][C]233[/C][C]25[/C][C]23.7814[/C][C]1.2186[/C][/ROW]
[ROW][C]234[/C][C]20[/C][C]20.1552[/C][C]-0.155233[/C][/ROW]
[ROW][C]235[/C][C]23[/C][C]19.8284[/C][C]3.17157[/C][/ROW]
[ROW][C]236[/C][C]21[/C][C]21.2574[/C][C]-0.257367[/C][/ROW]
[ROW][C]237[/C][C]23[/C][C]20.0561[/C][C]2.9439[/C][/ROW]
[ROW][C]238[/C][C]23[/C][C]20.4671[/C][C]2.53287[/C][/ROW]
[ROW][C]239[/C][C]11[/C][C]16.5968[/C][C]-5.59681[/C][/ROW]
[ROW][C]240[/C][C]21[/C][C]24.1671[/C][C]-3.1671[/C][/ROW]
[ROW][C]241[/C][C]27[/C][C]23.457[/C][C]3.54299[/C][/ROW]
[ROW][C]242[/C][C]19[/C][C]20.4976[/C][C]-1.49756[/C][/ROW]
[ROW][C]243[/C][C]21[/C][C]21.3082[/C][C]-0.308198[/C][/ROW]
[ROW][C]244[/C][C]16[/C][C]16.7505[/C][C]-0.750541[/C][/ROW]
[ROW][C]245[/C][C]21[/C][C]18.2734[/C][C]2.72662[/C][/ROW]
[ROW][C]246[/C][C]22[/C][C]21.45[/C][C]0.549964[/C][/ROW]
[ROW][C]247[/C][C]16[/C][C]20.13[/C][C]-4.12998[/C][/ROW]
[ROW][C]248[/C][C]18[/C][C]15.6292[/C][C]2.37079[/C][/ROW]
[ROW][C]249[/C][C]23[/C][C]23.5501[/C][C]-0.550115[/C][/ROW]
[ROW][C]250[/C][C]24[/C][C]21.7182[/C][C]2.2818[/C][/ROW]
[ROW][C]251[/C][C]20[/C][C]20.8532[/C][C]-0.853155[/C][/ROW]
[ROW][C]252[/C][C]20[/C][C]19.1616[/C][C]0.838431[/C][/ROW]
[ROW][C]253[/C][C]18[/C][C]19.4418[/C][C]-1.44183[/C][/ROW]
[ROW][C]254[/C][C]4[/C][C]10.1304[/C][C]-6.13038[/C][/ROW]
[ROW][C]255[/C][C]14[/C][C]14.8521[/C][C]-0.852068[/C][/ROW]
[ROW][C]256[/C][C]22[/C][C]21.5044[/C][C]0.495611[/C][/ROW]
[ROW][C]257[/C][C]17[/C][C]22.6113[/C][C]-5.61133[/C][/ROW]
[ROW][C]258[/C][C]23[/C][C]23.2245[/C][C]-0.224491[/C][/ROW]
[ROW][C]259[/C][C]20[/C][C]19.2482[/C][C]0.751812[/C][/ROW]
[ROW][C]260[/C][C]18[/C][C]17.5836[/C][C]0.416432[/C][/ROW]
[ROW][C]261[/C][C]19[/C][C]17.212[/C][C]1.78803[/C][/ROW]
[ROW][C]262[/C][C]20[/C][C]21.3697[/C][C]-1.36966[/C][/ROW]
[ROW][C]263[/C][C]15[/C][C]16.1275[/C][C]-1.12751[/C][/ROW]
[ROW][C]264[/C][C]24[/C][C]20.4324[/C][C]3.56755[/C][/ROW]
[ROW][C]265[/C][C]21[/C][C]20.3911[/C][C]0.608878[/C][/ROW]
[ROW][C]266[/C][C]19[/C][C]19.8953[/C][C]-0.895259[/C][/ROW]
[ROW][C]267[/C][C]19[/C][C]16.2179[/C][C]2.78211[/C][/ROW]
[ROW][C]268[/C][C]27[/C][C]26.3089[/C][C]0.691108[/C][/ROW]
[ROW][C]269[/C][C]23[/C][C]22.9781[/C][C]0.0218622[/C][/ROW]
[ROW][C]270[/C][C]23[/C][C]22.238[/C][C]0.762006[/C][/ROW]
[ROW][C]271[/C][C]20[/C][C]23.4816[/C][C]-3.48159[/C][/ROW]
[ROW][C]272[/C][C]17[/C][C]19.6984[/C][C]-2.69845[/C][/ROW]
[ROW][C]273[/C][C]21[/C][C]20.7516[/C][C]0.248396[/C][/ROW]
[ROW][C]274[/C][C]23[/C][C]21.3419[/C][C]1.65814[/C][/ROW]
[ROW][C]275[/C][C]22[/C][C]21.5797[/C][C]0.420336[/C][/ROW]
[ROW][C]276[/C][C]16[/C][C]18.4751[/C][C]-2.47507[/C][/ROW]
[ROW][C]277[/C][C]20[/C][C]21.4124[/C][C]-1.41236[/C][/ROW]
[ROW][C]278[/C][C]16[/C][C]14.5596[/C][C]1.44037[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264621&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264621&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
11114.4546-3.45461
21922.367-3.36696
31616.9919-0.991925
42423.06720.932846
51518.4866-3.48659
61720.5667-3.5667
71920.7097-1.70974
81914.68564.31439
92828.1696-0.16963
102623.70422.29576
111520.0975-5.09748
122624.32231.67766
131620.1653-4.16532
142421.35142.64856
152524.60580.394167
162220.95231.04774
171518.1602-3.16019
182121.8655-0.865459
192220.05841.9416
202725.021.98002
212623.25852.74146
222620.6385.36201
232221.28180.718162
242121.4862-0.48623
252221.34710.65288
262019.78360.216383
272121.2818-0.281792
282017.812.18995
292222.7142-0.714161
302120.60150.398464
31815.899-7.89903
322217.94014.05987
332022.2376-2.23764
342416.55527.44479
351719.5918-2.59184
362021.0836-1.0836
372319.73483.26517
382019.17030.829711
392221.7930.207006
401918.79970.200283
411517.3741-2.37412
422018.80041.19962
432220.09941.90055
441716.12790.872145
451415.2799-1.27989
462423.91780.0822252
471718.0607-1.06074
482323.4251-0.425136
492523.41371.58631
501619.156-3.15603
511822.2112-4.21123
522018.22961.77044
531818.7285-0.728533
542325.0339-2.03385
552421.36882.63124
562319.47223.52783
571318.0386-5.03865
582018.27481.72521
592018.60261.39736
601919.4681-0.468137
612220.99331.00667
622221.58980.410223
631515.7447-0.744702
641717.5473-0.547267
651919.1191-0.119129
662016.75823.24184
672223.7678-1.76784
682122.3494-1.34941
692119.05071.94927
701617.2804-1.28037
712019.10450.895454
722120.11920.880799
732019.69110.308877
742324.1949-1.19491
751816.81541.18463
761618.1828-2.18279
771715.82611.17394
782423.57610.423941
791317.3914-4.39141
801920.6333-1.63326
812019.37050.629454
822220.80481.19522
831920.1511-1.15106
842122.2852-1.28523
851514.84640.153606
862121.146-0.145976
872422.40531.5947
882222.9337-0.933665
892020.6282-0.628152
902121.0795-0.0794888
911919.4824-0.482444
921413.99320.00682008
932524.53410.465859
941113.4761-2.47614
951719.7051-2.70515
962224.3029-2.30285
972020.5663-0.56634
982220.09421.90584
991519.7184-4.71836
1002322.89880.101246
1012022.0219-2.02186
1022224.6054-2.60535
1031613.78832.21166
1042522.36052.63953
1051819.5658-1.56578
1061919.3427-0.342749
1072518.22356.77655
1082119.54041.45958
1092221.8930.107029
1102121.6413-0.641292
1112223.1463-1.14634
1122322.15530.844732
1132020.2643-0.264251
114614.3491-8.34915
1151517.6423-2.64225
1161822.2966-4.29657
1172420.3863.61401
1182216.36625.63382
1192120.18850.811537
1202323.1125-0.112494
1212021.63-1.63003
1222019.13770.862303
1231817.50310.496944
1242523.99921.00082
1251621.8756-5.87565
1262021.7009-1.70094
1271416.2615-2.26148
1282220.94221.05782
1292625.75980.24018
1302018.20451.79547
1311717.6637-0.663743
1322222.1566-0.156594
1332219.85572.14433
1342023.4138-3.41382
1351714.16952.8305
1362224.5634-2.56336
1371718.9928-1.99277
1382219.94092.0591
1392121.0201-0.0200994
1402520.5934.407
1411110.26640.733605
1421919.0373-0.0372553
1432423.74310.256942
1441720.3375-3.33749
1452220.13411.86592
1461717.1156-0.115574
1472624.64661.35343
1482019.06050.939549
1491918.88650.113536
1502119.19151.80851
1512421.68282.31718
1522121.2161-0.216113
1531920.9401-1.94007
1541315.4643-2.46426
1552424.7264-0.726374
1562822.53325.46683
1572724.57512.42489
1582219.11452.88553
1592322.93180.0682465
1601916.33042.66963
1611818.9702-0.970213
1622321.92941.07056
1632117.96623.03378
1642221.3030.697015
1651718.6933-1.6933
1661517.6484-2.64841
1672118.4892.51101
1682019.9110.0890119
1692623.27182.72822
1701921.1767-2.17668
1712826.20361.79635
1722118.6312.36897
1731921.4213-2.42135
1742220.25091.74914
1752119.88971.11033
1762019.94950.0505365
1771917.41331.58673
1781113.8321-2.83214
1791719.8024-2.80236
1801917.94041.05963
1812019.06710.932932
1821716.77350.226517
1832117.96883.03119
1842121.4816-0.481579
1851214.0518-2.05182
1862319.90083.09919
1872220.86751.13249
1882221.76460.23544
1892122.0199-1.01986
1902020.8814-0.881428
1911818.1072-0.10724
1922123.9249-2.92495
1932422.2261.77395
1942222.0091-0.0090843
1952017.19242.80756
1961717.0175-0.0174612
1971918.73210.267944
1981619.2368-3.23675
1991920.3093-1.30926
2002324.9364-1.93641
201813.5169-5.51693
2022222.7033-0.70333
2032321.36981.63022
2041519.0806-4.08063
2051721.4172-4.41716
2062117.73383.26621
2072520.53784.46222
2081813.47074.52932
2092018.39021.60985
2102119.27461.72542
2112120.34290.657133
2122419.97864.02135
2132222.0085-0.00847264
2142221.06840.931551
2152320.68692.31312
2161718.259-1.25898
2171515.6097-0.609667
2182221.88010.119932
2191916.96542.03461
2201820.0031-2.0031
2212122.6536-1.65365
2222022.2142-2.21419
2231919.791-0.791046
2241917.99741.00258
2251620.4786-4.47858
2261815.59042.40955
2272322.5350.465021
2282222.8069-0.806853
2292322.56730.432712
2302019.9230.0769501
2312422.4271.57299
2322518.14266.85741
2332523.78141.2186
2342020.1552-0.155233
2352319.82843.17157
2362121.2574-0.257367
2372320.05612.9439
2382320.46712.53287
2391116.5968-5.59681
2402124.1671-3.1671
2412723.4573.54299
2421920.4976-1.49756
2432121.3082-0.308198
2441616.7505-0.750541
2452118.27342.72662
2462221.450.549964
2471620.13-4.12998
2481815.62922.37079
2492323.5501-0.550115
2502421.71822.2818
2512020.8532-0.853155
2522019.16160.838431
2531819.4418-1.44183
254410.1304-6.13038
2551414.8521-0.852068
2562221.50440.495611
2571722.6113-5.61133
2582323.2245-0.224491
2592019.24820.751812
2601817.58360.416432
2611917.2121.78803
2622021.3697-1.36966
2631516.1275-1.12751
2642420.43243.56755
2652120.39110.608878
2661919.8953-0.895259
2671916.21792.78211
2682726.30890.691108
2692322.97810.0218622
2702322.2380.762006
2712023.4816-3.48159
2721719.6984-2.69845
2732120.75160.248396
2742321.34191.65814
2752221.57970.420336
2761618.4751-2.47507
2772021.4124-1.41236
2781614.55961.44037






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.8185770.3628450.181423
110.7988430.4023150.201157
120.8586590.2826810.141341
130.7999090.4001810.200091
140.7908070.4183870.209193
150.7453940.5092110.254606
160.7102910.5794190.289709
170.6346390.7307210.365361
180.5506490.8987030.449351
190.5641560.8716880.435844
200.483780.9675610.51622
210.4249260.8498520.575074
220.6958480.6083050.304152
230.6798570.6402860.320143
240.6340020.7319970.365998
250.6005750.798850.399425
260.5692430.8615130.430757
270.5522390.8955220.447761
280.4965580.9931160.503442
290.4335780.8671570.566422
300.3851340.7702690.614866
310.7185850.5628290.281415
320.6935050.612990.306495
330.6627220.6745550.337278
340.9975020.004995540.00249777
350.9970270.005945590.00297279
360.9961110.007777820.00388891
370.9980790.00384190.00192095
380.9972330.005534350.00276718
390.9960210.007958750.00397938
400.9950910.009817780.00490889
410.9940960.01180850.00590423
420.9925640.01487270.00743637
430.9914690.01706110.00853054
440.9906930.01861380.00930688
450.9879590.02408240.0120412
460.9837670.03246620.0162331
470.9792770.04144530.0207226
480.9735340.05293110.0264656
490.9689420.06211540.0310577
500.9689360.0621280.031064
510.9768690.04626210.0231311
520.9732330.05353480.0267674
530.9662580.06748340.0337417
540.963890.07222010.0361101
550.9655440.06891290.0344564
560.9732460.05350710.0267535
570.9838170.03236630.0161832
580.9799980.0400040.020002
590.978140.04371970.0218599
600.9723490.05530280.0276514
610.9665250.06695080.0334754
620.9585330.08293480.0414674
630.9493660.1012680.0506338
640.9378770.1242450.0621226
650.9267360.1465270.0732635
660.9357110.1285780.0642892
670.9319070.1361860.068093
680.9206430.1587130.0793565
690.9193340.1613310.0806655
700.905440.189120.0945599
710.888370.2232610.11163
720.8703610.2592780.129639
730.848420.3031590.15158
740.8339450.332110.166055
750.8241730.3516540.175827
760.8157060.3685890.184294
770.7955110.4089780.204489
780.769760.460480.23024
790.8143990.3712030.185601
800.798370.4032590.20163
810.7723210.4553570.227679
820.7513810.4972380.248619
830.7235680.5528640.276432
840.703540.592920.29646
850.6697990.6604020.330201
860.6350970.7298050.364903
870.6140930.7718130.385907
880.5802540.8394910.419746
890.5456510.9086980.454349
900.508790.982420.49121
910.4736660.9473310.526334
920.4365780.8731560.563422
930.4008390.8016780.599161
940.3986380.7972760.601362
950.4046370.8092750.595363
960.4027650.805530.597235
970.3705270.7410540.629473
980.3570910.7141820.642909
990.4378190.8756390.562181
1000.4021250.804250.597875
1010.3921680.7843350.607832
1020.3932080.7864160.606792
1030.3932960.7865910.606704
1040.4003430.8006860.599657
1050.374150.74830.62585
1060.3409980.6819960.659002
1070.5346340.9307310.465366
1080.5141870.9716270.485813
1090.4797230.9594460.520277
1100.4461310.8922610.553869
1110.4165360.8330720.583464
1120.3853920.7707830.614608
1130.3523280.7046550.647672
1140.7240580.5518840.275942
1150.7268850.546230.273115
1160.7829150.4341690.217085
1170.8180080.3639830.181992
1180.8831580.2336830.116842
1190.8679710.2640590.132029
1200.8485860.3028290.151414
1210.8375630.3248740.162437
1220.818820.362360.18118
1230.7952260.4095490.204774
1240.7754040.4491910.224596
1250.8801020.2397970.119898
1260.8705720.2588560.129428
1270.8712450.257510.128755
1280.8558580.2882840.144142
1290.8357070.3285850.164293
1300.8240180.3519640.175982
1310.8078630.3842740.192137
1320.7837570.4324860.216243
1330.7869830.4260340.213017
1340.8074170.3851670.192583
1350.8145250.3709510.185475
1360.814460.3710790.18554
1370.8076910.3846170.192309
1380.8074140.3851720.192586
1390.7827830.4344340.217217
1400.833470.3330590.16653
1410.8217360.3565270.178264
1420.8014090.3971830.198591
1430.7765770.4468460.223423
1440.8026490.3947020.197351
1450.7941220.4117550.205878
1460.7686910.4626180.231309
1470.748660.502680.25134
1480.7248280.5503430.275172
1490.6949070.6101850.305093
1500.6769140.6461710.323086
1510.673970.6520610.32603
1520.6424180.7151630.357582
1530.633140.733720.36686
1540.6410670.7178650.358933
1550.6126460.7747080.387354
1560.7384350.5231290.261565
1570.7438390.5123230.256161
1580.7525480.4949050.247452
1590.7242190.5515610.275781
1600.7277120.5445750.272288
1610.7045220.5909560.295478
1620.6790860.6418290.320914
1630.6921970.6156050.307803
1640.6640170.6719670.335983
1650.6509690.6980610.349031
1660.6628470.6743050.337153
1670.6617630.6764730.338237
1680.6297540.7404930.370246
1690.639310.7213790.36069
1700.6312380.7375240.368762
1710.6215330.7569350.378467
1720.6166830.7666350.383317
1730.6152570.7694850.384743
1740.5979930.8040140.402007
1750.5712740.8574520.428726
1760.5355160.9289670.464484
1770.5141640.9716720.485836
1780.5462060.9075880.453794
1790.5658150.868370.434185
1800.5359590.9280820.464041
1810.5040410.9919180.495959
1820.4682420.9364830.531758
1830.4724740.9449480.527526
1840.438330.8766590.56167
1850.4322220.8644440.567778
1860.4611360.9222730.538864
1870.435850.8717010.56415
1880.4007110.8014220.599289
1890.3695820.7391640.630418
1900.3404220.6808440.659578
1910.3075320.6150650.692468
1920.3103460.6206920.689654
1930.3028910.6057820.697109
1940.2720310.5440630.727969
1950.2783890.5567790.721611
1960.2548010.5096030.745199
1970.2281330.4562650.771867
1980.2493680.4987360.750632
1990.2253020.4506040.774698
2000.2064870.4129740.793513
2010.2829160.5658320.717084
2020.2519180.5038350.748082
2030.2330320.4660640.766968
2040.3068980.6137970.693102
2050.3984880.7969760.601512
2060.4292090.8584190.570791
2070.5048870.9902260.495113
2080.6110290.7779410.388971
2090.5971340.8057330.402866
2100.5692150.8615690.430785
2110.5297460.9405090.470254
2120.5674610.8650780.432539
2130.5257590.9484820.474241
2140.4863360.9726730.513664
2150.4814880.9629770.518512
2160.4486530.8973060.551347
2170.4071810.8143620.592819
2180.365980.731960.63402
2190.3663420.7326850.633658
2200.3530960.7061910.646904
2210.3270160.6540320.672984
2220.3225880.6451760.677412
2230.287920.575840.71208
2240.2575480.5150960.742452
2250.3393750.6787510.660625
2260.3264710.6529430.673529
2270.2880480.5760960.711952
2280.2545530.5091060.745447
2290.2187660.4375310.781234
2300.1855950.371190.814405
2310.1606020.3212030.839398
2320.4656640.9313280.534336
2330.4267350.853470.573265
2340.3787610.7575220.621239
2350.4326080.8652170.567392
2360.3847680.7695350.615232
2370.4333930.8667860.566607
2380.4307310.8614620.569269
2390.6053910.7892190.394609
2400.6625520.6748960.337448
2410.6851880.6296240.314812
2420.6388430.7223140.361157
2430.5885590.8228820.411441
2440.53420.9316010.4658
2450.5810890.8378220.418911
2460.5493580.9012840.450642
2470.6693030.6613940.330697
2480.7464770.5070470.253523
2490.6982450.6035110.301755
2500.6714760.6570470.328524
2510.6094040.7811920.390596
2520.6113880.7772250.388612
2530.5445070.9109860.455493
2540.8036890.3926230.196311
2550.7604030.4791950.239597
2560.6992630.6014740.300737
2570.948810.102380.0511901
2580.9395530.1208940.0604469
2590.951360.09727920.0486396
2600.9255650.148870.0744352
2610.8852060.2295880.114794
2620.844150.3117010.15585
2630.8252810.3494370.174719
2640.8720890.2558230.127911
2650.7943880.4112230.205612
2660.7227040.5545930.277296
2670.7751960.4496080.224804
2680.693280.613440.30672

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.818577 & 0.362845 & 0.181423 \tabularnewline
11 & 0.798843 & 0.402315 & 0.201157 \tabularnewline
12 & 0.858659 & 0.282681 & 0.141341 \tabularnewline
13 & 0.799909 & 0.400181 & 0.200091 \tabularnewline
14 & 0.790807 & 0.418387 & 0.209193 \tabularnewline
15 & 0.745394 & 0.509211 & 0.254606 \tabularnewline
16 & 0.710291 & 0.579419 & 0.289709 \tabularnewline
17 & 0.634639 & 0.730721 & 0.365361 \tabularnewline
18 & 0.550649 & 0.898703 & 0.449351 \tabularnewline
19 & 0.564156 & 0.871688 & 0.435844 \tabularnewline
20 & 0.48378 & 0.967561 & 0.51622 \tabularnewline
21 & 0.424926 & 0.849852 & 0.575074 \tabularnewline
22 & 0.695848 & 0.608305 & 0.304152 \tabularnewline
23 & 0.679857 & 0.640286 & 0.320143 \tabularnewline
24 & 0.634002 & 0.731997 & 0.365998 \tabularnewline
25 & 0.600575 & 0.79885 & 0.399425 \tabularnewline
26 & 0.569243 & 0.861513 & 0.430757 \tabularnewline
27 & 0.552239 & 0.895522 & 0.447761 \tabularnewline
28 & 0.496558 & 0.993116 & 0.503442 \tabularnewline
29 & 0.433578 & 0.867157 & 0.566422 \tabularnewline
30 & 0.385134 & 0.770269 & 0.614866 \tabularnewline
31 & 0.718585 & 0.562829 & 0.281415 \tabularnewline
32 & 0.693505 & 0.61299 & 0.306495 \tabularnewline
33 & 0.662722 & 0.674555 & 0.337278 \tabularnewline
34 & 0.997502 & 0.00499554 & 0.00249777 \tabularnewline
35 & 0.997027 & 0.00594559 & 0.00297279 \tabularnewline
36 & 0.996111 & 0.00777782 & 0.00388891 \tabularnewline
37 & 0.998079 & 0.0038419 & 0.00192095 \tabularnewline
38 & 0.997233 & 0.00553435 & 0.00276718 \tabularnewline
39 & 0.996021 & 0.00795875 & 0.00397938 \tabularnewline
40 & 0.995091 & 0.00981778 & 0.00490889 \tabularnewline
41 & 0.994096 & 0.0118085 & 0.00590423 \tabularnewline
42 & 0.992564 & 0.0148727 & 0.00743637 \tabularnewline
43 & 0.991469 & 0.0170611 & 0.00853054 \tabularnewline
44 & 0.990693 & 0.0186138 & 0.00930688 \tabularnewline
45 & 0.987959 & 0.0240824 & 0.0120412 \tabularnewline
46 & 0.983767 & 0.0324662 & 0.0162331 \tabularnewline
47 & 0.979277 & 0.0414453 & 0.0207226 \tabularnewline
48 & 0.973534 & 0.0529311 & 0.0264656 \tabularnewline
49 & 0.968942 & 0.0621154 & 0.0310577 \tabularnewline
50 & 0.968936 & 0.062128 & 0.031064 \tabularnewline
51 & 0.976869 & 0.0462621 & 0.0231311 \tabularnewline
52 & 0.973233 & 0.0535348 & 0.0267674 \tabularnewline
53 & 0.966258 & 0.0674834 & 0.0337417 \tabularnewline
54 & 0.96389 & 0.0722201 & 0.0361101 \tabularnewline
55 & 0.965544 & 0.0689129 & 0.0344564 \tabularnewline
56 & 0.973246 & 0.0535071 & 0.0267535 \tabularnewline
57 & 0.983817 & 0.0323663 & 0.0161832 \tabularnewline
58 & 0.979998 & 0.040004 & 0.020002 \tabularnewline
59 & 0.97814 & 0.0437197 & 0.0218599 \tabularnewline
60 & 0.972349 & 0.0553028 & 0.0276514 \tabularnewline
61 & 0.966525 & 0.0669508 & 0.0334754 \tabularnewline
62 & 0.958533 & 0.0829348 & 0.0414674 \tabularnewline
63 & 0.949366 & 0.101268 & 0.0506338 \tabularnewline
64 & 0.937877 & 0.124245 & 0.0621226 \tabularnewline
65 & 0.926736 & 0.146527 & 0.0732635 \tabularnewline
66 & 0.935711 & 0.128578 & 0.0642892 \tabularnewline
67 & 0.931907 & 0.136186 & 0.068093 \tabularnewline
68 & 0.920643 & 0.158713 & 0.0793565 \tabularnewline
69 & 0.919334 & 0.161331 & 0.0806655 \tabularnewline
70 & 0.90544 & 0.18912 & 0.0945599 \tabularnewline
71 & 0.88837 & 0.223261 & 0.11163 \tabularnewline
72 & 0.870361 & 0.259278 & 0.129639 \tabularnewline
73 & 0.84842 & 0.303159 & 0.15158 \tabularnewline
74 & 0.833945 & 0.33211 & 0.166055 \tabularnewline
75 & 0.824173 & 0.351654 & 0.175827 \tabularnewline
76 & 0.815706 & 0.368589 & 0.184294 \tabularnewline
77 & 0.795511 & 0.408978 & 0.204489 \tabularnewline
78 & 0.76976 & 0.46048 & 0.23024 \tabularnewline
79 & 0.814399 & 0.371203 & 0.185601 \tabularnewline
80 & 0.79837 & 0.403259 & 0.20163 \tabularnewline
81 & 0.772321 & 0.455357 & 0.227679 \tabularnewline
82 & 0.751381 & 0.497238 & 0.248619 \tabularnewline
83 & 0.723568 & 0.552864 & 0.276432 \tabularnewline
84 & 0.70354 & 0.59292 & 0.29646 \tabularnewline
85 & 0.669799 & 0.660402 & 0.330201 \tabularnewline
86 & 0.635097 & 0.729805 & 0.364903 \tabularnewline
87 & 0.614093 & 0.771813 & 0.385907 \tabularnewline
88 & 0.580254 & 0.839491 & 0.419746 \tabularnewline
89 & 0.545651 & 0.908698 & 0.454349 \tabularnewline
90 & 0.50879 & 0.98242 & 0.49121 \tabularnewline
91 & 0.473666 & 0.947331 & 0.526334 \tabularnewline
92 & 0.436578 & 0.873156 & 0.563422 \tabularnewline
93 & 0.400839 & 0.801678 & 0.599161 \tabularnewline
94 & 0.398638 & 0.797276 & 0.601362 \tabularnewline
95 & 0.404637 & 0.809275 & 0.595363 \tabularnewline
96 & 0.402765 & 0.80553 & 0.597235 \tabularnewline
97 & 0.370527 & 0.741054 & 0.629473 \tabularnewline
98 & 0.357091 & 0.714182 & 0.642909 \tabularnewline
99 & 0.437819 & 0.875639 & 0.562181 \tabularnewline
100 & 0.402125 & 0.80425 & 0.597875 \tabularnewline
101 & 0.392168 & 0.784335 & 0.607832 \tabularnewline
102 & 0.393208 & 0.786416 & 0.606792 \tabularnewline
103 & 0.393296 & 0.786591 & 0.606704 \tabularnewline
104 & 0.400343 & 0.800686 & 0.599657 \tabularnewline
105 & 0.37415 & 0.7483 & 0.62585 \tabularnewline
106 & 0.340998 & 0.681996 & 0.659002 \tabularnewline
107 & 0.534634 & 0.930731 & 0.465366 \tabularnewline
108 & 0.514187 & 0.971627 & 0.485813 \tabularnewline
109 & 0.479723 & 0.959446 & 0.520277 \tabularnewline
110 & 0.446131 & 0.892261 & 0.553869 \tabularnewline
111 & 0.416536 & 0.833072 & 0.583464 \tabularnewline
112 & 0.385392 & 0.770783 & 0.614608 \tabularnewline
113 & 0.352328 & 0.704655 & 0.647672 \tabularnewline
114 & 0.724058 & 0.551884 & 0.275942 \tabularnewline
115 & 0.726885 & 0.54623 & 0.273115 \tabularnewline
116 & 0.782915 & 0.434169 & 0.217085 \tabularnewline
117 & 0.818008 & 0.363983 & 0.181992 \tabularnewline
118 & 0.883158 & 0.233683 & 0.116842 \tabularnewline
119 & 0.867971 & 0.264059 & 0.132029 \tabularnewline
120 & 0.848586 & 0.302829 & 0.151414 \tabularnewline
121 & 0.837563 & 0.324874 & 0.162437 \tabularnewline
122 & 0.81882 & 0.36236 & 0.18118 \tabularnewline
123 & 0.795226 & 0.409549 & 0.204774 \tabularnewline
124 & 0.775404 & 0.449191 & 0.224596 \tabularnewline
125 & 0.880102 & 0.239797 & 0.119898 \tabularnewline
126 & 0.870572 & 0.258856 & 0.129428 \tabularnewline
127 & 0.871245 & 0.25751 & 0.128755 \tabularnewline
128 & 0.855858 & 0.288284 & 0.144142 \tabularnewline
129 & 0.835707 & 0.328585 & 0.164293 \tabularnewline
130 & 0.824018 & 0.351964 & 0.175982 \tabularnewline
131 & 0.807863 & 0.384274 & 0.192137 \tabularnewline
132 & 0.783757 & 0.432486 & 0.216243 \tabularnewline
133 & 0.786983 & 0.426034 & 0.213017 \tabularnewline
134 & 0.807417 & 0.385167 & 0.192583 \tabularnewline
135 & 0.814525 & 0.370951 & 0.185475 \tabularnewline
136 & 0.81446 & 0.371079 & 0.18554 \tabularnewline
137 & 0.807691 & 0.384617 & 0.192309 \tabularnewline
138 & 0.807414 & 0.385172 & 0.192586 \tabularnewline
139 & 0.782783 & 0.434434 & 0.217217 \tabularnewline
140 & 0.83347 & 0.333059 & 0.16653 \tabularnewline
141 & 0.821736 & 0.356527 & 0.178264 \tabularnewline
142 & 0.801409 & 0.397183 & 0.198591 \tabularnewline
143 & 0.776577 & 0.446846 & 0.223423 \tabularnewline
144 & 0.802649 & 0.394702 & 0.197351 \tabularnewline
145 & 0.794122 & 0.411755 & 0.205878 \tabularnewline
146 & 0.768691 & 0.462618 & 0.231309 \tabularnewline
147 & 0.74866 & 0.50268 & 0.25134 \tabularnewline
148 & 0.724828 & 0.550343 & 0.275172 \tabularnewline
149 & 0.694907 & 0.610185 & 0.305093 \tabularnewline
150 & 0.676914 & 0.646171 & 0.323086 \tabularnewline
151 & 0.67397 & 0.652061 & 0.32603 \tabularnewline
152 & 0.642418 & 0.715163 & 0.357582 \tabularnewline
153 & 0.63314 & 0.73372 & 0.36686 \tabularnewline
154 & 0.641067 & 0.717865 & 0.358933 \tabularnewline
155 & 0.612646 & 0.774708 & 0.387354 \tabularnewline
156 & 0.738435 & 0.523129 & 0.261565 \tabularnewline
157 & 0.743839 & 0.512323 & 0.256161 \tabularnewline
158 & 0.752548 & 0.494905 & 0.247452 \tabularnewline
159 & 0.724219 & 0.551561 & 0.275781 \tabularnewline
160 & 0.727712 & 0.544575 & 0.272288 \tabularnewline
161 & 0.704522 & 0.590956 & 0.295478 \tabularnewline
162 & 0.679086 & 0.641829 & 0.320914 \tabularnewline
163 & 0.692197 & 0.615605 & 0.307803 \tabularnewline
164 & 0.664017 & 0.671967 & 0.335983 \tabularnewline
165 & 0.650969 & 0.698061 & 0.349031 \tabularnewline
166 & 0.662847 & 0.674305 & 0.337153 \tabularnewline
167 & 0.661763 & 0.676473 & 0.338237 \tabularnewline
168 & 0.629754 & 0.740493 & 0.370246 \tabularnewline
169 & 0.63931 & 0.721379 & 0.36069 \tabularnewline
170 & 0.631238 & 0.737524 & 0.368762 \tabularnewline
171 & 0.621533 & 0.756935 & 0.378467 \tabularnewline
172 & 0.616683 & 0.766635 & 0.383317 \tabularnewline
173 & 0.615257 & 0.769485 & 0.384743 \tabularnewline
174 & 0.597993 & 0.804014 & 0.402007 \tabularnewline
175 & 0.571274 & 0.857452 & 0.428726 \tabularnewline
176 & 0.535516 & 0.928967 & 0.464484 \tabularnewline
177 & 0.514164 & 0.971672 & 0.485836 \tabularnewline
178 & 0.546206 & 0.907588 & 0.453794 \tabularnewline
179 & 0.565815 & 0.86837 & 0.434185 \tabularnewline
180 & 0.535959 & 0.928082 & 0.464041 \tabularnewline
181 & 0.504041 & 0.991918 & 0.495959 \tabularnewline
182 & 0.468242 & 0.936483 & 0.531758 \tabularnewline
183 & 0.472474 & 0.944948 & 0.527526 \tabularnewline
184 & 0.43833 & 0.876659 & 0.56167 \tabularnewline
185 & 0.432222 & 0.864444 & 0.567778 \tabularnewline
186 & 0.461136 & 0.922273 & 0.538864 \tabularnewline
187 & 0.43585 & 0.871701 & 0.56415 \tabularnewline
188 & 0.400711 & 0.801422 & 0.599289 \tabularnewline
189 & 0.369582 & 0.739164 & 0.630418 \tabularnewline
190 & 0.340422 & 0.680844 & 0.659578 \tabularnewline
191 & 0.307532 & 0.615065 & 0.692468 \tabularnewline
192 & 0.310346 & 0.620692 & 0.689654 \tabularnewline
193 & 0.302891 & 0.605782 & 0.697109 \tabularnewline
194 & 0.272031 & 0.544063 & 0.727969 \tabularnewline
195 & 0.278389 & 0.556779 & 0.721611 \tabularnewline
196 & 0.254801 & 0.509603 & 0.745199 \tabularnewline
197 & 0.228133 & 0.456265 & 0.771867 \tabularnewline
198 & 0.249368 & 0.498736 & 0.750632 \tabularnewline
199 & 0.225302 & 0.450604 & 0.774698 \tabularnewline
200 & 0.206487 & 0.412974 & 0.793513 \tabularnewline
201 & 0.282916 & 0.565832 & 0.717084 \tabularnewline
202 & 0.251918 & 0.503835 & 0.748082 \tabularnewline
203 & 0.233032 & 0.466064 & 0.766968 \tabularnewline
204 & 0.306898 & 0.613797 & 0.693102 \tabularnewline
205 & 0.398488 & 0.796976 & 0.601512 \tabularnewline
206 & 0.429209 & 0.858419 & 0.570791 \tabularnewline
207 & 0.504887 & 0.990226 & 0.495113 \tabularnewline
208 & 0.611029 & 0.777941 & 0.388971 \tabularnewline
209 & 0.597134 & 0.805733 & 0.402866 \tabularnewline
210 & 0.569215 & 0.861569 & 0.430785 \tabularnewline
211 & 0.529746 & 0.940509 & 0.470254 \tabularnewline
212 & 0.567461 & 0.865078 & 0.432539 \tabularnewline
213 & 0.525759 & 0.948482 & 0.474241 \tabularnewline
214 & 0.486336 & 0.972673 & 0.513664 \tabularnewline
215 & 0.481488 & 0.962977 & 0.518512 \tabularnewline
216 & 0.448653 & 0.897306 & 0.551347 \tabularnewline
217 & 0.407181 & 0.814362 & 0.592819 \tabularnewline
218 & 0.36598 & 0.73196 & 0.63402 \tabularnewline
219 & 0.366342 & 0.732685 & 0.633658 \tabularnewline
220 & 0.353096 & 0.706191 & 0.646904 \tabularnewline
221 & 0.327016 & 0.654032 & 0.672984 \tabularnewline
222 & 0.322588 & 0.645176 & 0.677412 \tabularnewline
223 & 0.28792 & 0.57584 & 0.71208 \tabularnewline
224 & 0.257548 & 0.515096 & 0.742452 \tabularnewline
225 & 0.339375 & 0.678751 & 0.660625 \tabularnewline
226 & 0.326471 & 0.652943 & 0.673529 \tabularnewline
227 & 0.288048 & 0.576096 & 0.711952 \tabularnewline
228 & 0.254553 & 0.509106 & 0.745447 \tabularnewline
229 & 0.218766 & 0.437531 & 0.781234 \tabularnewline
230 & 0.185595 & 0.37119 & 0.814405 \tabularnewline
231 & 0.160602 & 0.321203 & 0.839398 \tabularnewline
232 & 0.465664 & 0.931328 & 0.534336 \tabularnewline
233 & 0.426735 & 0.85347 & 0.573265 \tabularnewline
234 & 0.378761 & 0.757522 & 0.621239 \tabularnewline
235 & 0.432608 & 0.865217 & 0.567392 \tabularnewline
236 & 0.384768 & 0.769535 & 0.615232 \tabularnewline
237 & 0.433393 & 0.866786 & 0.566607 \tabularnewline
238 & 0.430731 & 0.861462 & 0.569269 \tabularnewline
239 & 0.605391 & 0.789219 & 0.394609 \tabularnewline
240 & 0.662552 & 0.674896 & 0.337448 \tabularnewline
241 & 0.685188 & 0.629624 & 0.314812 \tabularnewline
242 & 0.638843 & 0.722314 & 0.361157 \tabularnewline
243 & 0.588559 & 0.822882 & 0.411441 \tabularnewline
244 & 0.5342 & 0.931601 & 0.4658 \tabularnewline
245 & 0.581089 & 0.837822 & 0.418911 \tabularnewline
246 & 0.549358 & 0.901284 & 0.450642 \tabularnewline
247 & 0.669303 & 0.661394 & 0.330697 \tabularnewline
248 & 0.746477 & 0.507047 & 0.253523 \tabularnewline
249 & 0.698245 & 0.603511 & 0.301755 \tabularnewline
250 & 0.671476 & 0.657047 & 0.328524 \tabularnewline
251 & 0.609404 & 0.781192 & 0.390596 \tabularnewline
252 & 0.611388 & 0.777225 & 0.388612 \tabularnewline
253 & 0.544507 & 0.910986 & 0.455493 \tabularnewline
254 & 0.803689 & 0.392623 & 0.196311 \tabularnewline
255 & 0.760403 & 0.479195 & 0.239597 \tabularnewline
256 & 0.699263 & 0.601474 & 0.300737 \tabularnewline
257 & 0.94881 & 0.10238 & 0.0511901 \tabularnewline
258 & 0.939553 & 0.120894 & 0.0604469 \tabularnewline
259 & 0.95136 & 0.0972792 & 0.0486396 \tabularnewline
260 & 0.925565 & 0.14887 & 0.0744352 \tabularnewline
261 & 0.885206 & 0.229588 & 0.114794 \tabularnewline
262 & 0.84415 & 0.311701 & 0.15585 \tabularnewline
263 & 0.825281 & 0.349437 & 0.174719 \tabularnewline
264 & 0.872089 & 0.255823 & 0.127911 \tabularnewline
265 & 0.794388 & 0.411223 & 0.205612 \tabularnewline
266 & 0.722704 & 0.554593 & 0.277296 \tabularnewline
267 & 0.775196 & 0.449608 & 0.224804 \tabularnewline
268 & 0.69328 & 0.61344 & 0.30672 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264621&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]10[/C][C]0.818577[/C][C]0.362845[/C][C]0.181423[/C][/ROW]
[ROW][C]11[/C][C]0.798843[/C][C]0.402315[/C][C]0.201157[/C][/ROW]
[ROW][C]12[/C][C]0.858659[/C][C]0.282681[/C][C]0.141341[/C][/ROW]
[ROW][C]13[/C][C]0.799909[/C][C]0.400181[/C][C]0.200091[/C][/ROW]
[ROW][C]14[/C][C]0.790807[/C][C]0.418387[/C][C]0.209193[/C][/ROW]
[ROW][C]15[/C][C]0.745394[/C][C]0.509211[/C][C]0.254606[/C][/ROW]
[ROW][C]16[/C][C]0.710291[/C][C]0.579419[/C][C]0.289709[/C][/ROW]
[ROW][C]17[/C][C]0.634639[/C][C]0.730721[/C][C]0.365361[/C][/ROW]
[ROW][C]18[/C][C]0.550649[/C][C]0.898703[/C][C]0.449351[/C][/ROW]
[ROW][C]19[/C][C]0.564156[/C][C]0.871688[/C][C]0.435844[/C][/ROW]
[ROW][C]20[/C][C]0.48378[/C][C]0.967561[/C][C]0.51622[/C][/ROW]
[ROW][C]21[/C][C]0.424926[/C][C]0.849852[/C][C]0.575074[/C][/ROW]
[ROW][C]22[/C][C]0.695848[/C][C]0.608305[/C][C]0.304152[/C][/ROW]
[ROW][C]23[/C][C]0.679857[/C][C]0.640286[/C][C]0.320143[/C][/ROW]
[ROW][C]24[/C][C]0.634002[/C][C]0.731997[/C][C]0.365998[/C][/ROW]
[ROW][C]25[/C][C]0.600575[/C][C]0.79885[/C][C]0.399425[/C][/ROW]
[ROW][C]26[/C][C]0.569243[/C][C]0.861513[/C][C]0.430757[/C][/ROW]
[ROW][C]27[/C][C]0.552239[/C][C]0.895522[/C][C]0.447761[/C][/ROW]
[ROW][C]28[/C][C]0.496558[/C][C]0.993116[/C][C]0.503442[/C][/ROW]
[ROW][C]29[/C][C]0.433578[/C][C]0.867157[/C][C]0.566422[/C][/ROW]
[ROW][C]30[/C][C]0.385134[/C][C]0.770269[/C][C]0.614866[/C][/ROW]
[ROW][C]31[/C][C]0.718585[/C][C]0.562829[/C][C]0.281415[/C][/ROW]
[ROW][C]32[/C][C]0.693505[/C][C]0.61299[/C][C]0.306495[/C][/ROW]
[ROW][C]33[/C][C]0.662722[/C][C]0.674555[/C][C]0.337278[/C][/ROW]
[ROW][C]34[/C][C]0.997502[/C][C]0.00499554[/C][C]0.00249777[/C][/ROW]
[ROW][C]35[/C][C]0.997027[/C][C]0.00594559[/C][C]0.00297279[/C][/ROW]
[ROW][C]36[/C][C]0.996111[/C][C]0.00777782[/C][C]0.00388891[/C][/ROW]
[ROW][C]37[/C][C]0.998079[/C][C]0.0038419[/C][C]0.00192095[/C][/ROW]
[ROW][C]38[/C][C]0.997233[/C][C]0.00553435[/C][C]0.00276718[/C][/ROW]
[ROW][C]39[/C][C]0.996021[/C][C]0.00795875[/C][C]0.00397938[/C][/ROW]
[ROW][C]40[/C][C]0.995091[/C][C]0.00981778[/C][C]0.00490889[/C][/ROW]
[ROW][C]41[/C][C]0.994096[/C][C]0.0118085[/C][C]0.00590423[/C][/ROW]
[ROW][C]42[/C][C]0.992564[/C][C]0.0148727[/C][C]0.00743637[/C][/ROW]
[ROW][C]43[/C][C]0.991469[/C][C]0.0170611[/C][C]0.00853054[/C][/ROW]
[ROW][C]44[/C][C]0.990693[/C][C]0.0186138[/C][C]0.00930688[/C][/ROW]
[ROW][C]45[/C][C]0.987959[/C][C]0.0240824[/C][C]0.0120412[/C][/ROW]
[ROW][C]46[/C][C]0.983767[/C][C]0.0324662[/C][C]0.0162331[/C][/ROW]
[ROW][C]47[/C][C]0.979277[/C][C]0.0414453[/C][C]0.0207226[/C][/ROW]
[ROW][C]48[/C][C]0.973534[/C][C]0.0529311[/C][C]0.0264656[/C][/ROW]
[ROW][C]49[/C][C]0.968942[/C][C]0.0621154[/C][C]0.0310577[/C][/ROW]
[ROW][C]50[/C][C]0.968936[/C][C]0.062128[/C][C]0.031064[/C][/ROW]
[ROW][C]51[/C][C]0.976869[/C][C]0.0462621[/C][C]0.0231311[/C][/ROW]
[ROW][C]52[/C][C]0.973233[/C][C]0.0535348[/C][C]0.0267674[/C][/ROW]
[ROW][C]53[/C][C]0.966258[/C][C]0.0674834[/C][C]0.0337417[/C][/ROW]
[ROW][C]54[/C][C]0.96389[/C][C]0.0722201[/C][C]0.0361101[/C][/ROW]
[ROW][C]55[/C][C]0.965544[/C][C]0.0689129[/C][C]0.0344564[/C][/ROW]
[ROW][C]56[/C][C]0.973246[/C][C]0.0535071[/C][C]0.0267535[/C][/ROW]
[ROW][C]57[/C][C]0.983817[/C][C]0.0323663[/C][C]0.0161832[/C][/ROW]
[ROW][C]58[/C][C]0.979998[/C][C]0.040004[/C][C]0.020002[/C][/ROW]
[ROW][C]59[/C][C]0.97814[/C][C]0.0437197[/C][C]0.0218599[/C][/ROW]
[ROW][C]60[/C][C]0.972349[/C][C]0.0553028[/C][C]0.0276514[/C][/ROW]
[ROW][C]61[/C][C]0.966525[/C][C]0.0669508[/C][C]0.0334754[/C][/ROW]
[ROW][C]62[/C][C]0.958533[/C][C]0.0829348[/C][C]0.0414674[/C][/ROW]
[ROW][C]63[/C][C]0.949366[/C][C]0.101268[/C][C]0.0506338[/C][/ROW]
[ROW][C]64[/C][C]0.937877[/C][C]0.124245[/C][C]0.0621226[/C][/ROW]
[ROW][C]65[/C][C]0.926736[/C][C]0.146527[/C][C]0.0732635[/C][/ROW]
[ROW][C]66[/C][C]0.935711[/C][C]0.128578[/C][C]0.0642892[/C][/ROW]
[ROW][C]67[/C][C]0.931907[/C][C]0.136186[/C][C]0.068093[/C][/ROW]
[ROW][C]68[/C][C]0.920643[/C][C]0.158713[/C][C]0.0793565[/C][/ROW]
[ROW][C]69[/C][C]0.919334[/C][C]0.161331[/C][C]0.0806655[/C][/ROW]
[ROW][C]70[/C][C]0.90544[/C][C]0.18912[/C][C]0.0945599[/C][/ROW]
[ROW][C]71[/C][C]0.88837[/C][C]0.223261[/C][C]0.11163[/C][/ROW]
[ROW][C]72[/C][C]0.870361[/C][C]0.259278[/C][C]0.129639[/C][/ROW]
[ROW][C]73[/C][C]0.84842[/C][C]0.303159[/C][C]0.15158[/C][/ROW]
[ROW][C]74[/C][C]0.833945[/C][C]0.33211[/C][C]0.166055[/C][/ROW]
[ROW][C]75[/C][C]0.824173[/C][C]0.351654[/C][C]0.175827[/C][/ROW]
[ROW][C]76[/C][C]0.815706[/C][C]0.368589[/C][C]0.184294[/C][/ROW]
[ROW][C]77[/C][C]0.795511[/C][C]0.408978[/C][C]0.204489[/C][/ROW]
[ROW][C]78[/C][C]0.76976[/C][C]0.46048[/C][C]0.23024[/C][/ROW]
[ROW][C]79[/C][C]0.814399[/C][C]0.371203[/C][C]0.185601[/C][/ROW]
[ROW][C]80[/C][C]0.79837[/C][C]0.403259[/C][C]0.20163[/C][/ROW]
[ROW][C]81[/C][C]0.772321[/C][C]0.455357[/C][C]0.227679[/C][/ROW]
[ROW][C]82[/C][C]0.751381[/C][C]0.497238[/C][C]0.248619[/C][/ROW]
[ROW][C]83[/C][C]0.723568[/C][C]0.552864[/C][C]0.276432[/C][/ROW]
[ROW][C]84[/C][C]0.70354[/C][C]0.59292[/C][C]0.29646[/C][/ROW]
[ROW][C]85[/C][C]0.669799[/C][C]0.660402[/C][C]0.330201[/C][/ROW]
[ROW][C]86[/C][C]0.635097[/C][C]0.729805[/C][C]0.364903[/C][/ROW]
[ROW][C]87[/C][C]0.614093[/C][C]0.771813[/C][C]0.385907[/C][/ROW]
[ROW][C]88[/C][C]0.580254[/C][C]0.839491[/C][C]0.419746[/C][/ROW]
[ROW][C]89[/C][C]0.545651[/C][C]0.908698[/C][C]0.454349[/C][/ROW]
[ROW][C]90[/C][C]0.50879[/C][C]0.98242[/C][C]0.49121[/C][/ROW]
[ROW][C]91[/C][C]0.473666[/C][C]0.947331[/C][C]0.526334[/C][/ROW]
[ROW][C]92[/C][C]0.436578[/C][C]0.873156[/C][C]0.563422[/C][/ROW]
[ROW][C]93[/C][C]0.400839[/C][C]0.801678[/C][C]0.599161[/C][/ROW]
[ROW][C]94[/C][C]0.398638[/C][C]0.797276[/C][C]0.601362[/C][/ROW]
[ROW][C]95[/C][C]0.404637[/C][C]0.809275[/C][C]0.595363[/C][/ROW]
[ROW][C]96[/C][C]0.402765[/C][C]0.80553[/C][C]0.597235[/C][/ROW]
[ROW][C]97[/C][C]0.370527[/C][C]0.741054[/C][C]0.629473[/C][/ROW]
[ROW][C]98[/C][C]0.357091[/C][C]0.714182[/C][C]0.642909[/C][/ROW]
[ROW][C]99[/C][C]0.437819[/C][C]0.875639[/C][C]0.562181[/C][/ROW]
[ROW][C]100[/C][C]0.402125[/C][C]0.80425[/C][C]0.597875[/C][/ROW]
[ROW][C]101[/C][C]0.392168[/C][C]0.784335[/C][C]0.607832[/C][/ROW]
[ROW][C]102[/C][C]0.393208[/C][C]0.786416[/C][C]0.606792[/C][/ROW]
[ROW][C]103[/C][C]0.393296[/C][C]0.786591[/C][C]0.606704[/C][/ROW]
[ROW][C]104[/C][C]0.400343[/C][C]0.800686[/C][C]0.599657[/C][/ROW]
[ROW][C]105[/C][C]0.37415[/C][C]0.7483[/C][C]0.62585[/C][/ROW]
[ROW][C]106[/C][C]0.340998[/C][C]0.681996[/C][C]0.659002[/C][/ROW]
[ROW][C]107[/C][C]0.534634[/C][C]0.930731[/C][C]0.465366[/C][/ROW]
[ROW][C]108[/C][C]0.514187[/C][C]0.971627[/C][C]0.485813[/C][/ROW]
[ROW][C]109[/C][C]0.479723[/C][C]0.959446[/C][C]0.520277[/C][/ROW]
[ROW][C]110[/C][C]0.446131[/C][C]0.892261[/C][C]0.553869[/C][/ROW]
[ROW][C]111[/C][C]0.416536[/C][C]0.833072[/C][C]0.583464[/C][/ROW]
[ROW][C]112[/C][C]0.385392[/C][C]0.770783[/C][C]0.614608[/C][/ROW]
[ROW][C]113[/C][C]0.352328[/C][C]0.704655[/C][C]0.647672[/C][/ROW]
[ROW][C]114[/C][C]0.724058[/C][C]0.551884[/C][C]0.275942[/C][/ROW]
[ROW][C]115[/C][C]0.726885[/C][C]0.54623[/C][C]0.273115[/C][/ROW]
[ROW][C]116[/C][C]0.782915[/C][C]0.434169[/C][C]0.217085[/C][/ROW]
[ROW][C]117[/C][C]0.818008[/C][C]0.363983[/C][C]0.181992[/C][/ROW]
[ROW][C]118[/C][C]0.883158[/C][C]0.233683[/C][C]0.116842[/C][/ROW]
[ROW][C]119[/C][C]0.867971[/C][C]0.264059[/C][C]0.132029[/C][/ROW]
[ROW][C]120[/C][C]0.848586[/C][C]0.302829[/C][C]0.151414[/C][/ROW]
[ROW][C]121[/C][C]0.837563[/C][C]0.324874[/C][C]0.162437[/C][/ROW]
[ROW][C]122[/C][C]0.81882[/C][C]0.36236[/C][C]0.18118[/C][/ROW]
[ROW][C]123[/C][C]0.795226[/C][C]0.409549[/C][C]0.204774[/C][/ROW]
[ROW][C]124[/C][C]0.775404[/C][C]0.449191[/C][C]0.224596[/C][/ROW]
[ROW][C]125[/C][C]0.880102[/C][C]0.239797[/C][C]0.119898[/C][/ROW]
[ROW][C]126[/C][C]0.870572[/C][C]0.258856[/C][C]0.129428[/C][/ROW]
[ROW][C]127[/C][C]0.871245[/C][C]0.25751[/C][C]0.128755[/C][/ROW]
[ROW][C]128[/C][C]0.855858[/C][C]0.288284[/C][C]0.144142[/C][/ROW]
[ROW][C]129[/C][C]0.835707[/C][C]0.328585[/C][C]0.164293[/C][/ROW]
[ROW][C]130[/C][C]0.824018[/C][C]0.351964[/C][C]0.175982[/C][/ROW]
[ROW][C]131[/C][C]0.807863[/C][C]0.384274[/C][C]0.192137[/C][/ROW]
[ROW][C]132[/C][C]0.783757[/C][C]0.432486[/C][C]0.216243[/C][/ROW]
[ROW][C]133[/C][C]0.786983[/C][C]0.426034[/C][C]0.213017[/C][/ROW]
[ROW][C]134[/C][C]0.807417[/C][C]0.385167[/C][C]0.192583[/C][/ROW]
[ROW][C]135[/C][C]0.814525[/C][C]0.370951[/C][C]0.185475[/C][/ROW]
[ROW][C]136[/C][C]0.81446[/C][C]0.371079[/C][C]0.18554[/C][/ROW]
[ROW][C]137[/C][C]0.807691[/C][C]0.384617[/C][C]0.192309[/C][/ROW]
[ROW][C]138[/C][C]0.807414[/C][C]0.385172[/C][C]0.192586[/C][/ROW]
[ROW][C]139[/C][C]0.782783[/C][C]0.434434[/C][C]0.217217[/C][/ROW]
[ROW][C]140[/C][C]0.83347[/C][C]0.333059[/C][C]0.16653[/C][/ROW]
[ROW][C]141[/C][C]0.821736[/C][C]0.356527[/C][C]0.178264[/C][/ROW]
[ROW][C]142[/C][C]0.801409[/C][C]0.397183[/C][C]0.198591[/C][/ROW]
[ROW][C]143[/C][C]0.776577[/C][C]0.446846[/C][C]0.223423[/C][/ROW]
[ROW][C]144[/C][C]0.802649[/C][C]0.394702[/C][C]0.197351[/C][/ROW]
[ROW][C]145[/C][C]0.794122[/C][C]0.411755[/C][C]0.205878[/C][/ROW]
[ROW][C]146[/C][C]0.768691[/C][C]0.462618[/C][C]0.231309[/C][/ROW]
[ROW][C]147[/C][C]0.74866[/C][C]0.50268[/C][C]0.25134[/C][/ROW]
[ROW][C]148[/C][C]0.724828[/C][C]0.550343[/C][C]0.275172[/C][/ROW]
[ROW][C]149[/C][C]0.694907[/C][C]0.610185[/C][C]0.305093[/C][/ROW]
[ROW][C]150[/C][C]0.676914[/C][C]0.646171[/C][C]0.323086[/C][/ROW]
[ROW][C]151[/C][C]0.67397[/C][C]0.652061[/C][C]0.32603[/C][/ROW]
[ROW][C]152[/C][C]0.642418[/C][C]0.715163[/C][C]0.357582[/C][/ROW]
[ROW][C]153[/C][C]0.63314[/C][C]0.73372[/C][C]0.36686[/C][/ROW]
[ROW][C]154[/C][C]0.641067[/C][C]0.717865[/C][C]0.358933[/C][/ROW]
[ROW][C]155[/C][C]0.612646[/C][C]0.774708[/C][C]0.387354[/C][/ROW]
[ROW][C]156[/C][C]0.738435[/C][C]0.523129[/C][C]0.261565[/C][/ROW]
[ROW][C]157[/C][C]0.743839[/C][C]0.512323[/C][C]0.256161[/C][/ROW]
[ROW][C]158[/C][C]0.752548[/C][C]0.494905[/C][C]0.247452[/C][/ROW]
[ROW][C]159[/C][C]0.724219[/C][C]0.551561[/C][C]0.275781[/C][/ROW]
[ROW][C]160[/C][C]0.727712[/C][C]0.544575[/C][C]0.272288[/C][/ROW]
[ROW][C]161[/C][C]0.704522[/C][C]0.590956[/C][C]0.295478[/C][/ROW]
[ROW][C]162[/C][C]0.679086[/C][C]0.641829[/C][C]0.320914[/C][/ROW]
[ROW][C]163[/C][C]0.692197[/C][C]0.615605[/C][C]0.307803[/C][/ROW]
[ROW][C]164[/C][C]0.664017[/C][C]0.671967[/C][C]0.335983[/C][/ROW]
[ROW][C]165[/C][C]0.650969[/C][C]0.698061[/C][C]0.349031[/C][/ROW]
[ROW][C]166[/C][C]0.662847[/C][C]0.674305[/C][C]0.337153[/C][/ROW]
[ROW][C]167[/C][C]0.661763[/C][C]0.676473[/C][C]0.338237[/C][/ROW]
[ROW][C]168[/C][C]0.629754[/C][C]0.740493[/C][C]0.370246[/C][/ROW]
[ROW][C]169[/C][C]0.63931[/C][C]0.721379[/C][C]0.36069[/C][/ROW]
[ROW][C]170[/C][C]0.631238[/C][C]0.737524[/C][C]0.368762[/C][/ROW]
[ROW][C]171[/C][C]0.621533[/C][C]0.756935[/C][C]0.378467[/C][/ROW]
[ROW][C]172[/C][C]0.616683[/C][C]0.766635[/C][C]0.383317[/C][/ROW]
[ROW][C]173[/C][C]0.615257[/C][C]0.769485[/C][C]0.384743[/C][/ROW]
[ROW][C]174[/C][C]0.597993[/C][C]0.804014[/C][C]0.402007[/C][/ROW]
[ROW][C]175[/C][C]0.571274[/C][C]0.857452[/C][C]0.428726[/C][/ROW]
[ROW][C]176[/C][C]0.535516[/C][C]0.928967[/C][C]0.464484[/C][/ROW]
[ROW][C]177[/C][C]0.514164[/C][C]0.971672[/C][C]0.485836[/C][/ROW]
[ROW][C]178[/C][C]0.546206[/C][C]0.907588[/C][C]0.453794[/C][/ROW]
[ROW][C]179[/C][C]0.565815[/C][C]0.86837[/C][C]0.434185[/C][/ROW]
[ROW][C]180[/C][C]0.535959[/C][C]0.928082[/C][C]0.464041[/C][/ROW]
[ROW][C]181[/C][C]0.504041[/C][C]0.991918[/C][C]0.495959[/C][/ROW]
[ROW][C]182[/C][C]0.468242[/C][C]0.936483[/C][C]0.531758[/C][/ROW]
[ROW][C]183[/C][C]0.472474[/C][C]0.944948[/C][C]0.527526[/C][/ROW]
[ROW][C]184[/C][C]0.43833[/C][C]0.876659[/C][C]0.56167[/C][/ROW]
[ROW][C]185[/C][C]0.432222[/C][C]0.864444[/C][C]0.567778[/C][/ROW]
[ROW][C]186[/C][C]0.461136[/C][C]0.922273[/C][C]0.538864[/C][/ROW]
[ROW][C]187[/C][C]0.43585[/C][C]0.871701[/C][C]0.56415[/C][/ROW]
[ROW][C]188[/C][C]0.400711[/C][C]0.801422[/C][C]0.599289[/C][/ROW]
[ROW][C]189[/C][C]0.369582[/C][C]0.739164[/C][C]0.630418[/C][/ROW]
[ROW][C]190[/C][C]0.340422[/C][C]0.680844[/C][C]0.659578[/C][/ROW]
[ROW][C]191[/C][C]0.307532[/C][C]0.615065[/C][C]0.692468[/C][/ROW]
[ROW][C]192[/C][C]0.310346[/C][C]0.620692[/C][C]0.689654[/C][/ROW]
[ROW][C]193[/C][C]0.302891[/C][C]0.605782[/C][C]0.697109[/C][/ROW]
[ROW][C]194[/C][C]0.272031[/C][C]0.544063[/C][C]0.727969[/C][/ROW]
[ROW][C]195[/C][C]0.278389[/C][C]0.556779[/C][C]0.721611[/C][/ROW]
[ROW][C]196[/C][C]0.254801[/C][C]0.509603[/C][C]0.745199[/C][/ROW]
[ROW][C]197[/C][C]0.228133[/C][C]0.456265[/C][C]0.771867[/C][/ROW]
[ROW][C]198[/C][C]0.249368[/C][C]0.498736[/C][C]0.750632[/C][/ROW]
[ROW][C]199[/C][C]0.225302[/C][C]0.450604[/C][C]0.774698[/C][/ROW]
[ROW][C]200[/C][C]0.206487[/C][C]0.412974[/C][C]0.793513[/C][/ROW]
[ROW][C]201[/C][C]0.282916[/C][C]0.565832[/C][C]0.717084[/C][/ROW]
[ROW][C]202[/C][C]0.251918[/C][C]0.503835[/C][C]0.748082[/C][/ROW]
[ROW][C]203[/C][C]0.233032[/C][C]0.466064[/C][C]0.766968[/C][/ROW]
[ROW][C]204[/C][C]0.306898[/C][C]0.613797[/C][C]0.693102[/C][/ROW]
[ROW][C]205[/C][C]0.398488[/C][C]0.796976[/C][C]0.601512[/C][/ROW]
[ROW][C]206[/C][C]0.429209[/C][C]0.858419[/C][C]0.570791[/C][/ROW]
[ROW][C]207[/C][C]0.504887[/C][C]0.990226[/C][C]0.495113[/C][/ROW]
[ROW][C]208[/C][C]0.611029[/C][C]0.777941[/C][C]0.388971[/C][/ROW]
[ROW][C]209[/C][C]0.597134[/C][C]0.805733[/C][C]0.402866[/C][/ROW]
[ROW][C]210[/C][C]0.569215[/C][C]0.861569[/C][C]0.430785[/C][/ROW]
[ROW][C]211[/C][C]0.529746[/C][C]0.940509[/C][C]0.470254[/C][/ROW]
[ROW][C]212[/C][C]0.567461[/C][C]0.865078[/C][C]0.432539[/C][/ROW]
[ROW][C]213[/C][C]0.525759[/C][C]0.948482[/C][C]0.474241[/C][/ROW]
[ROW][C]214[/C][C]0.486336[/C][C]0.972673[/C][C]0.513664[/C][/ROW]
[ROW][C]215[/C][C]0.481488[/C][C]0.962977[/C][C]0.518512[/C][/ROW]
[ROW][C]216[/C][C]0.448653[/C][C]0.897306[/C][C]0.551347[/C][/ROW]
[ROW][C]217[/C][C]0.407181[/C][C]0.814362[/C][C]0.592819[/C][/ROW]
[ROW][C]218[/C][C]0.36598[/C][C]0.73196[/C][C]0.63402[/C][/ROW]
[ROW][C]219[/C][C]0.366342[/C][C]0.732685[/C][C]0.633658[/C][/ROW]
[ROW][C]220[/C][C]0.353096[/C][C]0.706191[/C][C]0.646904[/C][/ROW]
[ROW][C]221[/C][C]0.327016[/C][C]0.654032[/C][C]0.672984[/C][/ROW]
[ROW][C]222[/C][C]0.322588[/C][C]0.645176[/C][C]0.677412[/C][/ROW]
[ROW][C]223[/C][C]0.28792[/C][C]0.57584[/C][C]0.71208[/C][/ROW]
[ROW][C]224[/C][C]0.257548[/C][C]0.515096[/C][C]0.742452[/C][/ROW]
[ROW][C]225[/C][C]0.339375[/C][C]0.678751[/C][C]0.660625[/C][/ROW]
[ROW][C]226[/C][C]0.326471[/C][C]0.652943[/C][C]0.673529[/C][/ROW]
[ROW][C]227[/C][C]0.288048[/C][C]0.576096[/C][C]0.711952[/C][/ROW]
[ROW][C]228[/C][C]0.254553[/C][C]0.509106[/C][C]0.745447[/C][/ROW]
[ROW][C]229[/C][C]0.218766[/C][C]0.437531[/C][C]0.781234[/C][/ROW]
[ROW][C]230[/C][C]0.185595[/C][C]0.37119[/C][C]0.814405[/C][/ROW]
[ROW][C]231[/C][C]0.160602[/C][C]0.321203[/C][C]0.839398[/C][/ROW]
[ROW][C]232[/C][C]0.465664[/C][C]0.931328[/C][C]0.534336[/C][/ROW]
[ROW][C]233[/C][C]0.426735[/C][C]0.85347[/C][C]0.573265[/C][/ROW]
[ROW][C]234[/C][C]0.378761[/C][C]0.757522[/C][C]0.621239[/C][/ROW]
[ROW][C]235[/C][C]0.432608[/C][C]0.865217[/C][C]0.567392[/C][/ROW]
[ROW][C]236[/C][C]0.384768[/C][C]0.769535[/C][C]0.615232[/C][/ROW]
[ROW][C]237[/C][C]0.433393[/C][C]0.866786[/C][C]0.566607[/C][/ROW]
[ROW][C]238[/C][C]0.430731[/C][C]0.861462[/C][C]0.569269[/C][/ROW]
[ROW][C]239[/C][C]0.605391[/C][C]0.789219[/C][C]0.394609[/C][/ROW]
[ROW][C]240[/C][C]0.662552[/C][C]0.674896[/C][C]0.337448[/C][/ROW]
[ROW][C]241[/C][C]0.685188[/C][C]0.629624[/C][C]0.314812[/C][/ROW]
[ROW][C]242[/C][C]0.638843[/C][C]0.722314[/C][C]0.361157[/C][/ROW]
[ROW][C]243[/C][C]0.588559[/C][C]0.822882[/C][C]0.411441[/C][/ROW]
[ROW][C]244[/C][C]0.5342[/C][C]0.931601[/C][C]0.4658[/C][/ROW]
[ROW][C]245[/C][C]0.581089[/C][C]0.837822[/C][C]0.418911[/C][/ROW]
[ROW][C]246[/C][C]0.549358[/C][C]0.901284[/C][C]0.450642[/C][/ROW]
[ROW][C]247[/C][C]0.669303[/C][C]0.661394[/C][C]0.330697[/C][/ROW]
[ROW][C]248[/C][C]0.746477[/C][C]0.507047[/C][C]0.253523[/C][/ROW]
[ROW][C]249[/C][C]0.698245[/C][C]0.603511[/C][C]0.301755[/C][/ROW]
[ROW][C]250[/C][C]0.671476[/C][C]0.657047[/C][C]0.328524[/C][/ROW]
[ROW][C]251[/C][C]0.609404[/C][C]0.781192[/C][C]0.390596[/C][/ROW]
[ROW][C]252[/C][C]0.611388[/C][C]0.777225[/C][C]0.388612[/C][/ROW]
[ROW][C]253[/C][C]0.544507[/C][C]0.910986[/C][C]0.455493[/C][/ROW]
[ROW][C]254[/C][C]0.803689[/C][C]0.392623[/C][C]0.196311[/C][/ROW]
[ROW][C]255[/C][C]0.760403[/C][C]0.479195[/C][C]0.239597[/C][/ROW]
[ROW][C]256[/C][C]0.699263[/C][C]0.601474[/C][C]0.300737[/C][/ROW]
[ROW][C]257[/C][C]0.94881[/C][C]0.10238[/C][C]0.0511901[/C][/ROW]
[ROW][C]258[/C][C]0.939553[/C][C]0.120894[/C][C]0.0604469[/C][/ROW]
[ROW][C]259[/C][C]0.95136[/C][C]0.0972792[/C][C]0.0486396[/C][/ROW]
[ROW][C]260[/C][C]0.925565[/C][C]0.14887[/C][C]0.0744352[/C][/ROW]
[ROW][C]261[/C][C]0.885206[/C][C]0.229588[/C][C]0.114794[/C][/ROW]
[ROW][C]262[/C][C]0.84415[/C][C]0.311701[/C][C]0.15585[/C][/ROW]
[ROW][C]263[/C][C]0.825281[/C][C]0.349437[/C][C]0.174719[/C][/ROW]
[ROW][C]264[/C][C]0.872089[/C][C]0.255823[/C][C]0.127911[/C][/ROW]
[ROW][C]265[/C][C]0.794388[/C][C]0.411223[/C][C]0.205612[/C][/ROW]
[ROW][C]266[/C][C]0.722704[/C][C]0.554593[/C][C]0.277296[/C][/ROW]
[ROW][C]267[/C][C]0.775196[/C][C]0.449608[/C][C]0.224804[/C][/ROW]
[ROW][C]268[/C][C]0.69328[/C][C]0.61344[/C][C]0.30672[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264621&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264621&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.8185770.3628450.181423
110.7988430.4023150.201157
120.8586590.2826810.141341
130.7999090.4001810.200091
140.7908070.4183870.209193
150.7453940.5092110.254606
160.7102910.5794190.289709
170.6346390.7307210.365361
180.5506490.8987030.449351
190.5641560.8716880.435844
200.483780.9675610.51622
210.4249260.8498520.575074
220.6958480.6083050.304152
230.6798570.6402860.320143
240.6340020.7319970.365998
250.6005750.798850.399425
260.5692430.8615130.430757
270.5522390.8955220.447761
280.4965580.9931160.503442
290.4335780.8671570.566422
300.3851340.7702690.614866
310.7185850.5628290.281415
320.6935050.612990.306495
330.6627220.6745550.337278
340.9975020.004995540.00249777
350.9970270.005945590.00297279
360.9961110.007777820.00388891
370.9980790.00384190.00192095
380.9972330.005534350.00276718
390.9960210.007958750.00397938
400.9950910.009817780.00490889
410.9940960.01180850.00590423
420.9925640.01487270.00743637
430.9914690.01706110.00853054
440.9906930.01861380.00930688
450.9879590.02408240.0120412
460.9837670.03246620.0162331
470.9792770.04144530.0207226
480.9735340.05293110.0264656
490.9689420.06211540.0310577
500.9689360.0621280.031064
510.9768690.04626210.0231311
520.9732330.05353480.0267674
530.9662580.06748340.0337417
540.963890.07222010.0361101
550.9655440.06891290.0344564
560.9732460.05350710.0267535
570.9838170.03236630.0161832
580.9799980.0400040.020002
590.978140.04371970.0218599
600.9723490.05530280.0276514
610.9665250.06695080.0334754
620.9585330.08293480.0414674
630.9493660.1012680.0506338
640.9378770.1242450.0621226
650.9267360.1465270.0732635
660.9357110.1285780.0642892
670.9319070.1361860.068093
680.9206430.1587130.0793565
690.9193340.1613310.0806655
700.905440.189120.0945599
710.888370.2232610.11163
720.8703610.2592780.129639
730.848420.3031590.15158
740.8339450.332110.166055
750.8241730.3516540.175827
760.8157060.3685890.184294
770.7955110.4089780.204489
780.769760.460480.23024
790.8143990.3712030.185601
800.798370.4032590.20163
810.7723210.4553570.227679
820.7513810.4972380.248619
830.7235680.5528640.276432
840.703540.592920.29646
850.6697990.6604020.330201
860.6350970.7298050.364903
870.6140930.7718130.385907
880.5802540.8394910.419746
890.5456510.9086980.454349
900.508790.982420.49121
910.4736660.9473310.526334
920.4365780.8731560.563422
930.4008390.8016780.599161
940.3986380.7972760.601362
950.4046370.8092750.595363
960.4027650.805530.597235
970.3705270.7410540.629473
980.3570910.7141820.642909
990.4378190.8756390.562181
1000.4021250.804250.597875
1010.3921680.7843350.607832
1020.3932080.7864160.606792
1030.3932960.7865910.606704
1040.4003430.8006860.599657
1050.374150.74830.62585
1060.3409980.6819960.659002
1070.5346340.9307310.465366
1080.5141870.9716270.485813
1090.4797230.9594460.520277
1100.4461310.8922610.553869
1110.4165360.8330720.583464
1120.3853920.7707830.614608
1130.3523280.7046550.647672
1140.7240580.5518840.275942
1150.7268850.546230.273115
1160.7829150.4341690.217085
1170.8180080.3639830.181992
1180.8831580.2336830.116842
1190.8679710.2640590.132029
1200.8485860.3028290.151414
1210.8375630.3248740.162437
1220.818820.362360.18118
1230.7952260.4095490.204774
1240.7754040.4491910.224596
1250.8801020.2397970.119898
1260.8705720.2588560.129428
1270.8712450.257510.128755
1280.8558580.2882840.144142
1290.8357070.3285850.164293
1300.8240180.3519640.175982
1310.8078630.3842740.192137
1320.7837570.4324860.216243
1330.7869830.4260340.213017
1340.8074170.3851670.192583
1350.8145250.3709510.185475
1360.814460.3710790.18554
1370.8076910.3846170.192309
1380.8074140.3851720.192586
1390.7827830.4344340.217217
1400.833470.3330590.16653
1410.8217360.3565270.178264
1420.8014090.3971830.198591
1430.7765770.4468460.223423
1440.8026490.3947020.197351
1450.7941220.4117550.205878
1460.7686910.4626180.231309
1470.748660.502680.25134
1480.7248280.5503430.275172
1490.6949070.6101850.305093
1500.6769140.6461710.323086
1510.673970.6520610.32603
1520.6424180.7151630.357582
1530.633140.733720.36686
1540.6410670.7178650.358933
1550.6126460.7747080.387354
1560.7384350.5231290.261565
1570.7438390.5123230.256161
1580.7525480.4949050.247452
1590.7242190.5515610.275781
1600.7277120.5445750.272288
1610.7045220.5909560.295478
1620.6790860.6418290.320914
1630.6921970.6156050.307803
1640.6640170.6719670.335983
1650.6509690.6980610.349031
1660.6628470.6743050.337153
1670.6617630.6764730.338237
1680.6297540.7404930.370246
1690.639310.7213790.36069
1700.6312380.7375240.368762
1710.6215330.7569350.378467
1720.6166830.7666350.383317
1730.6152570.7694850.384743
1740.5979930.8040140.402007
1750.5712740.8574520.428726
1760.5355160.9289670.464484
1770.5141640.9716720.485836
1780.5462060.9075880.453794
1790.5658150.868370.434185
1800.5359590.9280820.464041
1810.5040410.9919180.495959
1820.4682420.9364830.531758
1830.4724740.9449480.527526
1840.438330.8766590.56167
1850.4322220.8644440.567778
1860.4611360.9222730.538864
1870.435850.8717010.56415
1880.4007110.8014220.599289
1890.3695820.7391640.630418
1900.3404220.6808440.659578
1910.3075320.6150650.692468
1920.3103460.6206920.689654
1930.3028910.6057820.697109
1940.2720310.5440630.727969
1950.2783890.5567790.721611
1960.2548010.5096030.745199
1970.2281330.4562650.771867
1980.2493680.4987360.750632
1990.2253020.4506040.774698
2000.2064870.4129740.793513
2010.2829160.5658320.717084
2020.2519180.5038350.748082
2030.2330320.4660640.766968
2040.3068980.6137970.693102
2050.3984880.7969760.601512
2060.4292090.8584190.570791
2070.5048870.9902260.495113
2080.6110290.7779410.388971
2090.5971340.8057330.402866
2100.5692150.8615690.430785
2110.5297460.9405090.470254
2120.5674610.8650780.432539
2130.5257590.9484820.474241
2140.4863360.9726730.513664
2150.4814880.9629770.518512
2160.4486530.8973060.551347
2170.4071810.8143620.592819
2180.365980.731960.63402
2190.3663420.7326850.633658
2200.3530960.7061910.646904
2210.3270160.6540320.672984
2220.3225880.6451760.677412
2230.287920.575840.71208
2240.2575480.5150960.742452
2250.3393750.6787510.660625
2260.3264710.6529430.673529
2270.2880480.5760960.711952
2280.2545530.5091060.745447
2290.2187660.4375310.781234
2300.1855950.371190.814405
2310.1606020.3212030.839398
2320.4656640.9313280.534336
2330.4267350.853470.573265
2340.3787610.7575220.621239
2350.4326080.8652170.567392
2360.3847680.7695350.615232
2370.4333930.8667860.566607
2380.4307310.8614620.569269
2390.6053910.7892190.394609
2400.6625520.6748960.337448
2410.6851880.6296240.314812
2420.6388430.7223140.361157
2430.5885590.8228820.411441
2440.53420.9316010.4658
2450.5810890.8378220.418911
2460.5493580.9012840.450642
2470.6693030.6613940.330697
2480.7464770.5070470.253523
2490.6982450.6035110.301755
2500.6714760.6570470.328524
2510.6094040.7811920.390596
2520.6113880.7772250.388612
2530.5445070.9109860.455493
2540.8036890.3926230.196311
2550.7604030.4791950.239597
2560.6992630.6014740.300737
2570.948810.102380.0511901
2580.9395530.1208940.0604469
2590.951360.09727920.0486396
2600.9255650.148870.0744352
2610.8852060.2295880.114794
2620.844150.3117010.15585
2630.8252810.3494370.174719
2640.8720890.2558230.127911
2650.7943880.4112230.205612
2660.7227040.5545930.277296
2670.7751960.4496080.224804
2680.693280.613440.30672






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level70.027027NOK
5% type I error level180.0694981NOK
10% type I error level300.11583NOK

\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 & 7 & 0.027027 & NOK \tabularnewline
5% type I error level & 18 & 0.0694981 & NOK \tabularnewline
10% type I error level & 30 & 0.11583 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264621&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]7[/C][C]0.027027[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]18[/C][C]0.0694981[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]30[/C][C]0.11583[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264621&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264621&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 level70.027027NOK
5% type I error level180.0694981NOK
10% type I error level300.11583NOK


Figures (Output of Computation)

Figure 1
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 2
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 3
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 4
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 5
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 6
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 7
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 8
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 9
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 10
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Input Parameters & R Code

Parameters (Session):
par1 = blue ;
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):
par3 <- 'No Linear Trend'
par2 <- 'Do not include Seasonal Dummies'
par1 <- '1'
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')
}