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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 15 Dec 2014 10:35:38 +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/15/t1418640026foizc32b6t3jimx.htm/, Retrieved Thu, 16 May 2024 18:56:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268061, Retrieved Thu, 16 May 2024 18:56:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-15 10:35:38] [53b401354caf777cb6420ff193593f00] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13 11 8 7 18 12 20 6
8 19 18 20 23 20 19 7
14 16 12 9 22 14 18 8
16 24 24 19 22 25 24 5
14 15 16 12 19 15 20 6
13 17 19 16 25 20 20 1
15 19 16 17 28 21 24 8
13 19 15 9 16 15 21 7
20 28 28 28 28 28 28 6
17 26 21 20 21 11 10 5
15 15 18 16 22 22 22 6
16 26 22 22 24 22 19 5
12 16 19 17 24 27 27 7
17 24 22 12 26 24 23 5
11 25 25 18 28 23 24 5
16 22 20 20 24 24 24 3
16 15 16 12 20 21 25 7
15 21 19 16 26 20 24 6
13 22 18 16 21 19 21 5
14 27 26 21 28 25 28 4
19 26 24 15 27 16 28 5
16 26 20 17 23 24 22 7
17 22 19 17 24 21 26 6
10 21 19 17 24 22 26 6
15 22 23 18 22 25 21 10
14 20 18 15 21 23 26 4
14 21 16 20 25 20 23 9
16 20 18 13 20 21 20 7
15 22 21 21 21 22 24 9
17 21 20 12 26 25 25 7
14 8 15 6 23 23 24 5
16 22 19 13 21 19 20 5
15 20 19 19 27 21 24 9
16 24 7 12 25 19 25 6
16 17 20 14 23 25 23 9
10 20 20 13 25 16 21 10
8 23 19 12 23 24 23 4
17 20 19 17 19 24 21 5
14 22 20 19 22 18 18 8
10 19 18 10 24 28 24 9
14 15 14 10 19 15 18 9
12 20 17 11 21 17 21 9
16 22 17 11 27 18 23 8
16 17 8 10 25 26 25 9
16 14 9 7 25 18 22 7
8 24 22 22 23 22 22 8
16 17 20 12 17 19 23 3
15 23 20 18 28 17 24 6
8 25 22 20 25 26 25 1
13 16 22 9 20 21 22 9
14 18 22 16 25 26 24 10
13 20 16 14 21 21 21 6
16 18 14 11 24 12 24 8
19 23 24 20 28 20 25 6
19 24 21 17 20 20 23 7
14 23 20 14 19 24 27 10
15 13 20 8 24 24 27 8
13 20 18 16 21 22 23 2
10 20 14 11 24 21 18 3
16 19 19 10 23 20 20 9
15 22 24 15 18 23 23 10
11 22 19 15 27 19 24 6
9 15 16 10 25 24 26 10
16 17 16 10 20 21 20 7
12 19 16 18 21 16 23 5
12 20 14 10 23 17 22 8
14 22 22 22 27 23 23 7
14 21 21 16 24 20 17 7
13 21 15 10 27 19 20 8
15 16 14 7 24 18 22 7
17 20 15 16 23 18 18 7
14 21 14 16 24 21 19 6
11 20 20 16 21 20 19 7
9 23 21 22 23 17 16 8
7 18 14 5 27 25 26 4
13 22 19 18 24 15 14 10
15 16 16 10 25 17 25 3
12 17 13 8 19 17 23 8
15 24 26 16 24 24 18 7
14 13 13 8 25 21 22 5
16 19 18 16 23 22 26 7
14 20 15 14 23 18 25 6
13 22 18 15 25 22 26 3
16 19 21 9 26 20 26 8
13 21 17 21 26 21 24 7
16 15 18 7 16 21 22 4
16 21 20 17 23 20 21 7
16 24 18 18 26 18 22 6
10 22 25 16 25 25 28 8
12 20 20 16 23 23 22 9
12 21 19 14 26 21 26 5
12 19 18 15 22 20 20 8
12 14 12 8 20 21 24 8
19 25 22 22 27 20 21 5
14 11 16 5 20 22 23 8
13 17 18 13 22 15 23 5
16 22 23 22 24 24 23 4
15 20 20 18 21 22 22 7
12 22 20 15 24 21 23 9
8 15 16 11 26 17 21 8
10 23 22 19 24 23 27 8
16 20 19 19 24 22 23 7
16 22 23 21 27 23 26 8
10 16 6 4 25 16 27 0
18 25 19 17 27 18 27 5
12 18 24 10 19 25 23 6
16 19 19 13 22 18 23 2
10 25 15 15 22 14 23 2
14 21 18 11 25 20 28 6
12 22 18 20 23 19 24 5
11 21 22 13 24 18 20 6
15 22 23 18 24 22 23 6
7 23 18 20 23 21 22 7
16 20 17 15 22 14 15 8
16 6 6 4 24 5 27 10
16 15 22 9 19 25 23 9
16 18 20 18 25 21 23 11
12 24 16 12 26 11 20 11
15 22 16 17 18 20 18 6
14 21 17 12 24 9 22 9
15 23 20 16 28 15 20 10
16 20 23 17 23 23 21 7
13 20 18 14 19 21 25 6
10 18 13 13 19 9 19 7
17 25 22 20 27 24 25 8
15 16 20 16 24 16 24 8
18 20 20 15 26 20 22 4
16 14 13 10 21 15 28 5
20 22 16 16 25 18 22 6
16 26 25 21 28 22 21 8
17 20 16 15 19 21 23 9
16 17 15 16 20 21 19 11
15 22 19 19 26 21 21 6
13 22 19 9 27 20 25 8
16 20 24 19 23 24 23 7
16 17 9 7 18 15 28 9
16 22 22 23 23 24 14 7
17 17 15 14 21 18 23 10
20 22 22 10 23 24 24 8
14 21 22 16 22 24 25 7
17 25 24 12 21 15 15 7
6 11 12 10 14 19 23 9
16 19 21 7 24 20 26 8
15 24 25 20 26 26 21 0
16 17 26 9 24 26 26 9
16 22 21 12 22 23 23 8
14 17 14 10 20 13 15 6
16 26 28 19 20 16 16 6
16 20 21 11 18 22 20 6
16 19 16 15 18 21 20 2
14 21 16 14 25 11 21 10
14 24 25 11 28 23 28 5
16 21 21 14 23 18 19 9
16 19 22 15 20 19 21 8
15 13 9 7 22 15 22 5
16 24 20 22 27 8 27 10
16 28 19 19 24 15 20 6
18 27 24 22 23 21 17 11
15 22 22 11 20 25 26 8
16 23 22 19 22 14 21 9
16 19 12 9 21 21 24 8
16 18 17 11 24 18 21 10
17 23 18 17 26 18 25 8
14 21 10 12 24 12 22 8
18 22 22 17 18 24 17 10
9 17 24 10 17 17 14 11
15 15 18 17 23 20 23 9
14 21 18 13 21 24 28 9
15 20 23 11 21 22 24 11
13 26 21 19 24 15 22 8
16 19 21 21 22 22 24 9
20 28 28 24 24 26 25 10
14 21 17 13 24 17 21 6
12 19 21 16 24 23 22 10
15 22 21 13 23 19 16 10
15 21 20 15 21 21 18 10
15 20 18 15 24 23 27 7
16 19 17 11 19 19 17 7
11 11 7 7 19 18 25 3
16 17 17 13 23 16 24 6
7 19 14 13 25 23 21 7
11 20 18 12 24 13 21 7
9 17 14 8 21 18 19 6
15 21 23 7 18 23 27 10
16 21 20 17 23 21 28 4
14 12 14 9 20 23 19 7
15 23 17 18 23 16 23 7
13 22 21 17 23 17 25 7
13 22 23 17 23 20 26 7
12 21 24 18 23 18 25 7
16 20 21 12 27 20 25 4
14 18 14 14 19 19 24 9
16 21 24 22 25 26 24 6
14 24 16 19 25 9 24 7
15 22 21 21 21 23 22 3
10 20 8 10 25 9 21 6
16 17 17 16 17 13 17 11
14 19 18 11 22 27 23 8
16 16 17 15 23 22 17 1
12 19 16 12 27 12 25 5
16 23 22 21 27 18 19 7
16 8 17 22 5 6 8 7
15 22 21 20 19 17 14 7
14 23 20 15 24 22 22 6
16 15 20 9 23 22 25 8
11 17 19 15 28 23 28 8
15 21 8 14 25 19 25 8
18 25 19 11 27 20 24 5
13 18 11 9 16 17 15 8
7 20 13 12 25 24 24 0
7 21 18 11 26 20 28 8
17 21 19 14 24 18 24 9
18 24 23 10 23 23 25 8
15 22 20 18 24 27 23 3
8 22 22 11 27 25 26 5
13 23 19 14 25 24 26 7
13 17 16 16 19 12 22 1
15 15 11 11 19 16 25 7
18 22 21 16 24 24 22 9
16 19 14 13 20 23 26 7
14 18 21 12 21 24 20 9
15 21 20 17 28 24 26 6
19 20 21 23 26 26 26 7
16 19 20 14 19 19 21 10
12 19 19 10 23 28 21 7
16 16 19 16 23 23 24 10
11 18 18 11 21 21 21 7
16 23 20 16 26 19 18 7
15 22 21 19 25 23 23 9
19 23 22 17 25 23 26 8
15 20 19 12 24 20 23 7
14 24 23 17 23 18 25 0
14 25 16 11 22 20 20 8
17 25 23 19 27 28 25 9
16 20 18 12 26 21 26 8
20 23 23 8 23 25 19 0
16 21 20 17 22 18 21 8
9 23 20 13 26 24 23 6
13 23 23 17 22 28 24 6
15 11 13 7 17 9 6 0
19 21 21 23 25 22 22 5
16 27 26 18 22 26 21 9
17 19 18 13 28 28 28 4
16 21 19 17 22 18 24 7
9 16 18 13 21 23 14 11
11 21 18 8 24 15 20 9
14 22 19 16 26 24 28 8
19 16 13 14 26 12 19 6
13 18 10 13 24 12 24 7
14 23 21 19 27 20 21 7
15 24 24 15 22 25 21 7
15 20 21 15 23 24 26 7
14 20 23 8 22 23 24 6
16 18 18 14 23 18 26 9
17 4 11 7 15 20 25 3
12 14 16 11 20 22 23 10
15 22 20 17 22 20 24 9
17 17 20 19 25 25 24 8
15 23 26 17 27 28 26 8
10 20 21 12 24 25 23 6
16 18 12 12 21 14 20 4
15 19 15 18 17 16 16 9
11 20 18 16 26 24 24 9
16 15 14 15 20 13 20 2
16 24 18 20 22 19 23 7
16 21 16 16 24 18 23 8
14 19 19 12 23 16 18 10
14 19 7 10 22 8 21 6
16 27 21 28 28 27 25 3
16 23 24 19 21 23 23 9
18 23 21 18 24 20 26 9
14 20 20 19 28 20 26 5
20 17 22 8 25 26 24 10
15 21 17 17 24 23 23 1
16 23 19 16 24 24 21 9
16 22 20 18 21 21 23 6
16 16 16 12 20 15 20 7
12 20 20 17 26 22 23 7
8 16 16 13 16 25 24 6

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 10 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268061&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]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268061&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268061&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 time10 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Multiple Linear Regression - Estimated Regression Equation
CONFSTATTOT[t] = + 11.6959 -0.00721943AMS.I1[t] + 0.134695AMS.I2[t] + 0.0863587AMS.I3[t] -0.0410184AMS.E1[t] -0.0633225AMS.E2[t] + 0.0455046AMS.E3[t] + 0.0384985ADJ_NUM[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
CONFSTATTOT[t] =  +  11.6959 -0.00721943AMS.I1[t] +  0.134695AMS.I2[t] +  0.0863587AMS.I3[t] -0.0410184AMS.E1[t] -0.0633225AMS.E2[t] +  0.0455046AMS.E3[t] +  0.0384985ADJ_NUM[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268061&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]CONFSTATTOT[t] =  +  11.6959 -0.00721943AMS.I1[t] +  0.134695AMS.I2[t] +  0.0863587AMS.I3[t] -0.0410184AMS.E1[t] -0.0633225AMS.E2[t] +  0.0455046AMS.E3[t] +  0.0384985ADJ_NUM[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268061&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268061&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
CONFSTATTOT[t] = + 11.6959 -0.00721943AMS.I1[t] + 0.134695AMS.I2[t] + 0.0863587AMS.I3[t] -0.0410184AMS.E1[t] -0.0633225AMS.E2[t] + 0.0455046AMS.E3[t] + 0.0384985ADJ_NUM[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)11.69591.541917.5855.32555e-132.66277e-13
AMS.I1-0.007219430.0633595-0.11390.9093670.454683
AMS.I20.1346950.05745692.3440.01978640.00989319
AMS.I30.08635870.04758361.8150.07064730.0353237
AMS.E1-0.04101840.0644834-0.63610.5252430.262622
AMS.E2-0.06332250.0463999-1.3650.1734760.086738
AMS.E30.04550460.05537330.82180.4119260.205963
ADJ_NUM0.03849850.06917580.55650.5783070.289154

\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) & 11.6959 & 1.54191 & 7.585 & 5.32555e-13 & 2.66277e-13 \tabularnewline
AMS.I1 & -0.00721943 & 0.0633595 & -0.1139 & 0.909367 & 0.454683 \tabularnewline
AMS.I2 & 0.134695 & 0.0574569 & 2.344 & 0.0197864 & 0.00989319 \tabularnewline
AMS.I3 & 0.0863587 & 0.0475836 & 1.815 & 0.0706473 & 0.0353237 \tabularnewline
AMS.E1 & -0.0410184 & 0.0644834 & -0.6361 & 0.525243 & 0.262622 \tabularnewline
AMS.E2 & -0.0633225 & 0.0463999 & -1.365 & 0.173476 & 0.086738 \tabularnewline
AMS.E3 & 0.0455046 & 0.0553733 & 0.8218 & 0.411926 & 0.205963 \tabularnewline
ADJ_NUM & 0.0384985 & 0.0691758 & 0.5565 & 0.578307 & 0.289154 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268061&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]11.6959[/C][C]1.54191[/C][C]7.585[/C][C]5.32555e-13[/C][C]2.66277e-13[/C][/ROW]
[ROW][C]AMS.I1[/C][C]-0.00721943[/C][C]0.0633595[/C][C]-0.1139[/C][C]0.909367[/C][C]0.454683[/C][/ROW]
[ROW][C]AMS.I2[/C][C]0.134695[/C][C]0.0574569[/C][C]2.344[/C][C]0.0197864[/C][C]0.00989319[/C][/ROW]
[ROW][C]AMS.I3[/C][C]0.0863587[/C][C]0.0475836[/C][C]1.815[/C][C]0.0706473[/C][C]0.0353237[/C][/ROW]
[ROW][C]AMS.E1[/C][C]-0.0410184[/C][C]0.0644834[/C][C]-0.6361[/C][C]0.525243[/C][C]0.262622[/C][/ROW]
[ROW][C]AMS.E2[/C][C]-0.0633225[/C][C]0.0463999[/C][C]-1.365[/C][C]0.173476[/C][C]0.086738[/C][/ROW]
[ROW][C]AMS.E3[/C][C]0.0455046[/C][C]0.0553733[/C][C]0.8218[/C][C]0.411926[/C][C]0.205963[/C][/ROW]
[ROW][C]ADJ_NUM[/C][C]0.0384985[/C][C]0.0691758[/C][C]0.5565[/C][C]0.578307[/C][C]0.289154[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268061&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268061&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)11.69591.541917.5855.32555e-132.66277e-13
AMS.I1-0.007219430.0633595-0.11390.9093670.454683
AMS.I20.1346950.05745692.3440.01978640.00989319
AMS.I30.08635870.04758361.8150.07064730.0353237
AMS.E1-0.04101840.0644834-0.63610.5252430.262622
AMS.E2-0.06332250.0463999-1.3650.1734760.086738
AMS.E30.04550460.05537330.82180.4119260.205963
ADJ_NUM0.03849850.06917580.55650.5783070.289154






Multiple Linear Regression - Regression Statistics
Multiple R0.261077
R-squared0.0681611
Adjusted R-squared0.0440914
F-TEST (value)2.83183
F-TEST (DF numerator)7
F-TEST (DF denominator)271
p-value0.00728008
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.67288
Sum Squared Residuals1936.11

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.261077 \tabularnewline
R-squared & 0.0681611 \tabularnewline
Adjusted R-squared & 0.0440914 \tabularnewline
F-TEST (value) & 2.83183 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 271 \tabularnewline
p-value & 0.00728008 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.67288 \tabularnewline
Sum Squared Residuals & 1936.11 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268061&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.261077[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0681611[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0440914[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]2.83183[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]271[/C][/ROW]
[ROW][C]p-value[/C][C]0.00728008[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.67288[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1936.11[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268061&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268061&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 R0.261077
R-squared0.0681611
Adjusted R-squared0.0440914
F-TEST (value)2.83183
F-TEST (DF numerator)7
F-TEST (DF denominator)271
p-value0.00728008
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.67288
Sum Squared Residuals1936.11






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11312.94140.0585849
2814.6346-6.63459
31413.31210.687916
41615.19520.804762
51414.1909-0.190904
61314.1708-1.17077
71514.10370.896265
81313.9753-0.975313
92016.26683.73319
101715.15351.84646
111514.33040.669575
121615.05090.949106
131214.4116-2.41163
141714.17512.82492
151115.1169-4.11689
161614.66151.33845
171614.0361.96403
181514.47540.524616
191314.4269-1.42687
201415.5131-1.5131
211915.38223.61781
221614.47761.52241
231714.66422.33575
241014.6081-4.60814
251515.0446-0.0446025
261414.2907-0.290686
271414.5277-0.527744
281614.12811.8719
291515.3633-0.36329
301714.0322.96797
311413.06150.938541
321614.2571.74301
331514.75280.247166
341612.64183.3582
351614.34271.65733
361014.67-4.67001
37813.8628-5.86277
381714.42782.57221
391414.9566-0.956623
401013.5279-3.52793
411413.77330.226717
421214.1555-2.15546
431613.88412.1159
441612.32653.67345
451612.51693.4831
46815.3584-7.35836
471614.5651.43499
481514.87630.123712
49814.7101-6.71012
501314.5183-1.51833
511414.7162-0.716204
521313.9111-0.911057
531614.05741.94261
541915.44333.55668
551915.04863.95142
561414.7473-0.747269
571514.01920.980778
581314.2269-1.22686
591013.0075-3.00753
601614.02821.9718
611515.3019-0.301949
621114.4041-3.40411
63913.6292-4.6292
641613.62132.37871
651214.6328-2.63283
661213.59-1.58999
671415.1524-1.15241
681414.5468-0.546777
691313.3357-0.335735
701513.21691.78305
711713.9593.041
721413.59310.406899
731114.6334-3.63337
74915.2745-6.27447
75712.53-5.53
761314.7385-1.73848
771513.75021.24976
781213.5138-1.51381
791514.99080.00919271
801412.88231.11771
811614.4811.51895
821414.0663-0.0663111
831314.137-1.137
841614.32271.67729
851314.613-1.61296
861613.78562.21437
871614.72151.27852
881614.52741.47262
891015.2598-5.25975
901214.5749-2.57487
911214.2919-2.29185
921214.3278-2.32782
931213.152-1.15197
941915.15273.84729
951413.34450.655495
961314.5072-1.50717
971615.23130.768659
981514.8160.184048
991214.6052-2.60521
100813.8133-5.81327
1011015.2297-5.22969
1021614.69011.30993
1031615.37580.624242
1041011.924-1.92397
1051814.71653.28349
1061214.5774-2.57738
1071614.3221.67803
1081014.1659-4.16588
1091414.1319-0.131932
1101214.8268-2.82678
1111114.6471-3.64706
1121515.0895-0.0895484
113714.6789-7.67891
1141614.33831.66168
1151613.11872.88128
1161614.35881.64122
1171614.92911.07086
1181214.2846-2.28458
1191514.20560.794442
1201414.6636-0.66363
1211514.80220.197809
1221614.94281.05719
1231314.4445-1.4445
1241014.2244-4.22445
1251715.02421.97578
1261515.0585-0.0584995
1271814.36293.63707
1281613.86482.13518
1292014.14075.85927
1301615.41110.588949
1311714.2862.71404
1321614.11321.88676
1331514.52740.472596
1341313.9451-0.945137
1351615.27790.722087
1361613.32242.67764
1371614.931.07002
1381714.2332.76701
1392014.30095.69914
1401414.8743-0.874255
1411714.92522.07479
142613.7121-7.7121
1431614.2321.76797
1441514.85990.14011
1451614.75121.24878
1461614.39771.60228
1471413.59250.407538
1481616.046-0.04598
1491614.33971.66032
1501613.92822.07181
1511414.527-0.526983
1521414.7016-0.701616
1531614.70971.29027
1541615.05750.942536
1551512.76012.23986
1561616.1159-0.115932
1571614.90061.09945
1581815.55742.44261
1591514.5380.462041
1601615.64710.352904
1611613.16122.83879
1621614.0221.97798
1631714.66182.33824
1641413.49230.5077
1651814.86893.13107
166914.9562-5.95616
1671514.66340.33659
1681414.3309-0.330928
1691514.86050.139472
1701315.3524-2.35239
1711615.34390.65607
1722016.22963.77043
1731414.0824-0.0824085
1741214.7143-2.71427
1751514.45480.545187
1761514.54650.453544
1771514.32860.671369
1781613.85912.14094
1791112.4978-1.49779
1801614.35211.64786
181713.3103-6.31031
1821114.4298-3.42975
183913.2441-4.24413
1841514.66560.334378
1851614.86121.13881
1861413.12950.870508
1871514.73360.266388
1881315.2209-2.22094
1891315.3459-2.34587
1901215.6553-3.65528
1911614.3341.66595
1921414.1168-0.116797
1931615.32810.671906
1941415.0848-1.08478
1951514.9780.0220325
1961013.0839-3.08386
1971614.92131.07874
1981413.67560.324357
1991613.64112.35888
2001214.2129-2.21287
2011615.19340.806575
2021615.87630.123675
2031515.1435-0.143538
2041414.3737-0.373664
2051614.16781.8322
2061114.4049-3.40491
2071513.04791.95213
2081813.93524.0648
2091313.0826-0.0825795
210712.8857-5.88574
211714.1679-7.16791
2121714.62682.37316
2131814.52993.47006
2141514.25340.746644
215814.1353-6.13534
2161314.2055-1.20546
2171314.6104-1.61038
2181513.63381.36623
2191814.59083.40921
2201613.74292.25708
2211414.3063-0.306276
2221514.45210.54788
2231915.10613.89392
2241614.81971.18027
2251213.4901-1.49013
2261614.59861.40144
2271113.9743-2.97431
2281614.42441.57557
2291514.91770.0823279
2301914.97044.02955
2311514.21220.787801
2321415.1431-1.14308
2331413.66970.33032
2341714.85782.14224
2351614.10721.89284
2362013.65686.34322
2371614.92761.07236
238914.0378-5.03777
2391314.7436-1.74358
2401512.97782.02218
2411915.13423.86585
2421615.31080.689231
2431713.61253.38754
2441614.8911.10904
245913.8703-4.87028
2461113.9819-2.98195
2471414.4739-0.47389
2481913.80975.19035
2491313.6528-0.652828
2501414.8504-0.850377
2511514.79030.209713
2521514.66490.335093
2531414.3046-0.304619
2541614.64581.35417
2551713.12453.87546
2561213.918-1.918
2571514.96880.0312131
2581714.69942.30056
2591515.1106-0.110575
2601014.1265-4.12648
2611613.53482.46525
2621514.49770.502325
2631114.2101-3.21011
2641614.11221.88778
2651614.88491.11514
2661614.31151.68853
2671414.4017-0.401699
2681413.14280.857238
2691615.14250.857523
2701615.47860.521389
2711815.19162.80841
2721414.8468-0.846848
2732014.03265.96745
2741513.94641.05357
2751614.26871.73133
2761614.87181.12816
2771614.18121.81884
2781214.57-2.57001
279813.9419-5.94189

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 13 & 12.9414 & 0.0585849 \tabularnewline
2 & 8 & 14.6346 & -6.63459 \tabularnewline
3 & 14 & 13.3121 & 0.687916 \tabularnewline
4 & 16 & 15.1952 & 0.804762 \tabularnewline
5 & 14 & 14.1909 & -0.190904 \tabularnewline
6 & 13 & 14.1708 & -1.17077 \tabularnewline
7 & 15 & 14.1037 & 0.896265 \tabularnewline
8 & 13 & 13.9753 & -0.975313 \tabularnewline
9 & 20 & 16.2668 & 3.73319 \tabularnewline
10 & 17 & 15.1535 & 1.84646 \tabularnewline
11 & 15 & 14.3304 & 0.669575 \tabularnewline
12 & 16 & 15.0509 & 0.949106 \tabularnewline
13 & 12 & 14.4116 & -2.41163 \tabularnewline
14 & 17 & 14.1751 & 2.82492 \tabularnewline
15 & 11 & 15.1169 & -4.11689 \tabularnewline
16 & 16 & 14.6615 & 1.33845 \tabularnewline
17 & 16 & 14.036 & 1.96403 \tabularnewline
18 & 15 & 14.4754 & 0.524616 \tabularnewline
19 & 13 & 14.4269 & -1.42687 \tabularnewline
20 & 14 & 15.5131 & -1.5131 \tabularnewline
21 & 19 & 15.3822 & 3.61781 \tabularnewline
22 & 16 & 14.4776 & 1.52241 \tabularnewline
23 & 17 & 14.6642 & 2.33575 \tabularnewline
24 & 10 & 14.6081 & -4.60814 \tabularnewline
25 & 15 & 15.0446 & -0.0446025 \tabularnewline
26 & 14 & 14.2907 & -0.290686 \tabularnewline
27 & 14 & 14.5277 & -0.527744 \tabularnewline
28 & 16 & 14.1281 & 1.8719 \tabularnewline
29 & 15 & 15.3633 & -0.36329 \tabularnewline
30 & 17 & 14.032 & 2.96797 \tabularnewline
31 & 14 & 13.0615 & 0.938541 \tabularnewline
32 & 16 & 14.257 & 1.74301 \tabularnewline
33 & 15 & 14.7528 & 0.247166 \tabularnewline
34 & 16 & 12.6418 & 3.3582 \tabularnewline
35 & 16 & 14.3427 & 1.65733 \tabularnewline
36 & 10 & 14.67 & -4.67001 \tabularnewline
37 & 8 & 13.8628 & -5.86277 \tabularnewline
38 & 17 & 14.4278 & 2.57221 \tabularnewline
39 & 14 & 14.9566 & -0.956623 \tabularnewline
40 & 10 & 13.5279 & -3.52793 \tabularnewline
41 & 14 & 13.7733 & 0.226717 \tabularnewline
42 & 12 & 14.1555 & -2.15546 \tabularnewline
43 & 16 & 13.8841 & 2.1159 \tabularnewline
44 & 16 & 12.3265 & 3.67345 \tabularnewline
45 & 16 & 12.5169 & 3.4831 \tabularnewline
46 & 8 & 15.3584 & -7.35836 \tabularnewline
47 & 16 & 14.565 & 1.43499 \tabularnewline
48 & 15 & 14.8763 & 0.123712 \tabularnewline
49 & 8 & 14.7101 & -6.71012 \tabularnewline
50 & 13 & 14.5183 & -1.51833 \tabularnewline
51 & 14 & 14.7162 & -0.716204 \tabularnewline
52 & 13 & 13.9111 & -0.911057 \tabularnewline
53 & 16 & 14.0574 & 1.94261 \tabularnewline
54 & 19 & 15.4433 & 3.55668 \tabularnewline
55 & 19 & 15.0486 & 3.95142 \tabularnewline
56 & 14 & 14.7473 & -0.747269 \tabularnewline
57 & 15 & 14.0192 & 0.980778 \tabularnewline
58 & 13 & 14.2269 & -1.22686 \tabularnewline
59 & 10 & 13.0075 & -3.00753 \tabularnewline
60 & 16 & 14.0282 & 1.9718 \tabularnewline
61 & 15 & 15.3019 & -0.301949 \tabularnewline
62 & 11 & 14.4041 & -3.40411 \tabularnewline
63 & 9 & 13.6292 & -4.6292 \tabularnewline
64 & 16 & 13.6213 & 2.37871 \tabularnewline
65 & 12 & 14.6328 & -2.63283 \tabularnewline
66 & 12 & 13.59 & -1.58999 \tabularnewline
67 & 14 & 15.1524 & -1.15241 \tabularnewline
68 & 14 & 14.5468 & -0.546777 \tabularnewline
69 & 13 & 13.3357 & -0.335735 \tabularnewline
70 & 15 & 13.2169 & 1.78305 \tabularnewline
71 & 17 & 13.959 & 3.041 \tabularnewline
72 & 14 & 13.5931 & 0.406899 \tabularnewline
73 & 11 & 14.6334 & -3.63337 \tabularnewline
74 & 9 & 15.2745 & -6.27447 \tabularnewline
75 & 7 & 12.53 & -5.53 \tabularnewline
76 & 13 & 14.7385 & -1.73848 \tabularnewline
77 & 15 & 13.7502 & 1.24976 \tabularnewline
78 & 12 & 13.5138 & -1.51381 \tabularnewline
79 & 15 & 14.9908 & 0.00919271 \tabularnewline
80 & 14 & 12.8823 & 1.11771 \tabularnewline
81 & 16 & 14.481 & 1.51895 \tabularnewline
82 & 14 & 14.0663 & -0.0663111 \tabularnewline
83 & 13 & 14.137 & -1.137 \tabularnewline
84 & 16 & 14.3227 & 1.67729 \tabularnewline
85 & 13 & 14.613 & -1.61296 \tabularnewline
86 & 16 & 13.7856 & 2.21437 \tabularnewline
87 & 16 & 14.7215 & 1.27852 \tabularnewline
88 & 16 & 14.5274 & 1.47262 \tabularnewline
89 & 10 & 15.2598 & -5.25975 \tabularnewline
90 & 12 & 14.5749 & -2.57487 \tabularnewline
91 & 12 & 14.2919 & -2.29185 \tabularnewline
92 & 12 & 14.3278 & -2.32782 \tabularnewline
93 & 12 & 13.152 & -1.15197 \tabularnewline
94 & 19 & 15.1527 & 3.84729 \tabularnewline
95 & 14 & 13.3445 & 0.655495 \tabularnewline
96 & 13 & 14.5072 & -1.50717 \tabularnewline
97 & 16 & 15.2313 & 0.768659 \tabularnewline
98 & 15 & 14.816 & 0.184048 \tabularnewline
99 & 12 & 14.6052 & -2.60521 \tabularnewline
100 & 8 & 13.8133 & -5.81327 \tabularnewline
101 & 10 & 15.2297 & -5.22969 \tabularnewline
102 & 16 & 14.6901 & 1.30993 \tabularnewline
103 & 16 & 15.3758 & 0.624242 \tabularnewline
104 & 10 & 11.924 & -1.92397 \tabularnewline
105 & 18 & 14.7165 & 3.28349 \tabularnewline
106 & 12 & 14.5774 & -2.57738 \tabularnewline
107 & 16 & 14.322 & 1.67803 \tabularnewline
108 & 10 & 14.1659 & -4.16588 \tabularnewline
109 & 14 & 14.1319 & -0.131932 \tabularnewline
110 & 12 & 14.8268 & -2.82678 \tabularnewline
111 & 11 & 14.6471 & -3.64706 \tabularnewline
112 & 15 & 15.0895 & -0.0895484 \tabularnewline
113 & 7 & 14.6789 & -7.67891 \tabularnewline
114 & 16 & 14.3383 & 1.66168 \tabularnewline
115 & 16 & 13.1187 & 2.88128 \tabularnewline
116 & 16 & 14.3588 & 1.64122 \tabularnewline
117 & 16 & 14.9291 & 1.07086 \tabularnewline
118 & 12 & 14.2846 & -2.28458 \tabularnewline
119 & 15 & 14.2056 & 0.794442 \tabularnewline
120 & 14 & 14.6636 & -0.66363 \tabularnewline
121 & 15 & 14.8022 & 0.197809 \tabularnewline
122 & 16 & 14.9428 & 1.05719 \tabularnewline
123 & 13 & 14.4445 & -1.4445 \tabularnewline
124 & 10 & 14.2244 & -4.22445 \tabularnewline
125 & 17 & 15.0242 & 1.97578 \tabularnewline
126 & 15 & 15.0585 & -0.0584995 \tabularnewline
127 & 18 & 14.3629 & 3.63707 \tabularnewline
128 & 16 & 13.8648 & 2.13518 \tabularnewline
129 & 20 & 14.1407 & 5.85927 \tabularnewline
130 & 16 & 15.4111 & 0.588949 \tabularnewline
131 & 17 & 14.286 & 2.71404 \tabularnewline
132 & 16 & 14.1132 & 1.88676 \tabularnewline
133 & 15 & 14.5274 & 0.472596 \tabularnewline
134 & 13 & 13.9451 & -0.945137 \tabularnewline
135 & 16 & 15.2779 & 0.722087 \tabularnewline
136 & 16 & 13.3224 & 2.67764 \tabularnewline
137 & 16 & 14.93 & 1.07002 \tabularnewline
138 & 17 & 14.233 & 2.76701 \tabularnewline
139 & 20 & 14.3009 & 5.69914 \tabularnewline
140 & 14 & 14.8743 & -0.874255 \tabularnewline
141 & 17 & 14.9252 & 2.07479 \tabularnewline
142 & 6 & 13.7121 & -7.7121 \tabularnewline
143 & 16 & 14.232 & 1.76797 \tabularnewline
144 & 15 & 14.8599 & 0.14011 \tabularnewline
145 & 16 & 14.7512 & 1.24878 \tabularnewline
146 & 16 & 14.3977 & 1.60228 \tabularnewline
147 & 14 & 13.5925 & 0.407538 \tabularnewline
148 & 16 & 16.046 & -0.04598 \tabularnewline
149 & 16 & 14.3397 & 1.66032 \tabularnewline
150 & 16 & 13.9282 & 2.07181 \tabularnewline
151 & 14 & 14.527 & -0.526983 \tabularnewline
152 & 14 & 14.7016 & -0.701616 \tabularnewline
153 & 16 & 14.7097 & 1.29027 \tabularnewline
154 & 16 & 15.0575 & 0.942536 \tabularnewline
155 & 15 & 12.7601 & 2.23986 \tabularnewline
156 & 16 & 16.1159 & -0.115932 \tabularnewline
157 & 16 & 14.9006 & 1.09945 \tabularnewline
158 & 18 & 15.5574 & 2.44261 \tabularnewline
159 & 15 & 14.538 & 0.462041 \tabularnewline
160 & 16 & 15.6471 & 0.352904 \tabularnewline
161 & 16 & 13.1612 & 2.83879 \tabularnewline
162 & 16 & 14.022 & 1.97798 \tabularnewline
163 & 17 & 14.6618 & 2.33824 \tabularnewline
164 & 14 & 13.4923 & 0.5077 \tabularnewline
165 & 18 & 14.8689 & 3.13107 \tabularnewline
166 & 9 & 14.9562 & -5.95616 \tabularnewline
167 & 15 & 14.6634 & 0.33659 \tabularnewline
168 & 14 & 14.3309 & -0.330928 \tabularnewline
169 & 15 & 14.8605 & 0.139472 \tabularnewline
170 & 13 & 15.3524 & -2.35239 \tabularnewline
171 & 16 & 15.3439 & 0.65607 \tabularnewline
172 & 20 & 16.2296 & 3.77043 \tabularnewline
173 & 14 & 14.0824 & -0.0824085 \tabularnewline
174 & 12 & 14.7143 & -2.71427 \tabularnewline
175 & 15 & 14.4548 & 0.545187 \tabularnewline
176 & 15 & 14.5465 & 0.453544 \tabularnewline
177 & 15 & 14.3286 & 0.671369 \tabularnewline
178 & 16 & 13.8591 & 2.14094 \tabularnewline
179 & 11 & 12.4978 & -1.49779 \tabularnewline
180 & 16 & 14.3521 & 1.64786 \tabularnewline
181 & 7 & 13.3103 & -6.31031 \tabularnewline
182 & 11 & 14.4298 & -3.42975 \tabularnewline
183 & 9 & 13.2441 & -4.24413 \tabularnewline
184 & 15 & 14.6656 & 0.334378 \tabularnewline
185 & 16 & 14.8612 & 1.13881 \tabularnewline
186 & 14 & 13.1295 & 0.870508 \tabularnewline
187 & 15 & 14.7336 & 0.266388 \tabularnewline
188 & 13 & 15.2209 & -2.22094 \tabularnewline
189 & 13 & 15.3459 & -2.34587 \tabularnewline
190 & 12 & 15.6553 & -3.65528 \tabularnewline
191 & 16 & 14.334 & 1.66595 \tabularnewline
192 & 14 & 14.1168 & -0.116797 \tabularnewline
193 & 16 & 15.3281 & 0.671906 \tabularnewline
194 & 14 & 15.0848 & -1.08478 \tabularnewline
195 & 15 & 14.978 & 0.0220325 \tabularnewline
196 & 10 & 13.0839 & -3.08386 \tabularnewline
197 & 16 & 14.9213 & 1.07874 \tabularnewline
198 & 14 & 13.6756 & 0.324357 \tabularnewline
199 & 16 & 13.6411 & 2.35888 \tabularnewline
200 & 12 & 14.2129 & -2.21287 \tabularnewline
201 & 16 & 15.1934 & 0.806575 \tabularnewline
202 & 16 & 15.8763 & 0.123675 \tabularnewline
203 & 15 & 15.1435 & -0.143538 \tabularnewline
204 & 14 & 14.3737 & -0.373664 \tabularnewline
205 & 16 & 14.1678 & 1.8322 \tabularnewline
206 & 11 & 14.4049 & -3.40491 \tabularnewline
207 & 15 & 13.0479 & 1.95213 \tabularnewline
208 & 18 & 13.9352 & 4.0648 \tabularnewline
209 & 13 & 13.0826 & -0.0825795 \tabularnewline
210 & 7 & 12.8857 & -5.88574 \tabularnewline
211 & 7 & 14.1679 & -7.16791 \tabularnewline
212 & 17 & 14.6268 & 2.37316 \tabularnewline
213 & 18 & 14.5299 & 3.47006 \tabularnewline
214 & 15 & 14.2534 & 0.746644 \tabularnewline
215 & 8 & 14.1353 & -6.13534 \tabularnewline
216 & 13 & 14.2055 & -1.20546 \tabularnewline
217 & 13 & 14.6104 & -1.61038 \tabularnewline
218 & 15 & 13.6338 & 1.36623 \tabularnewline
219 & 18 & 14.5908 & 3.40921 \tabularnewline
220 & 16 & 13.7429 & 2.25708 \tabularnewline
221 & 14 & 14.3063 & -0.306276 \tabularnewline
222 & 15 & 14.4521 & 0.54788 \tabularnewline
223 & 19 & 15.1061 & 3.89392 \tabularnewline
224 & 16 & 14.8197 & 1.18027 \tabularnewline
225 & 12 & 13.4901 & -1.49013 \tabularnewline
226 & 16 & 14.5986 & 1.40144 \tabularnewline
227 & 11 & 13.9743 & -2.97431 \tabularnewline
228 & 16 & 14.4244 & 1.57557 \tabularnewline
229 & 15 & 14.9177 & 0.0823279 \tabularnewline
230 & 19 & 14.9704 & 4.02955 \tabularnewline
231 & 15 & 14.2122 & 0.787801 \tabularnewline
232 & 14 & 15.1431 & -1.14308 \tabularnewline
233 & 14 & 13.6697 & 0.33032 \tabularnewline
234 & 17 & 14.8578 & 2.14224 \tabularnewline
235 & 16 & 14.1072 & 1.89284 \tabularnewline
236 & 20 & 13.6568 & 6.34322 \tabularnewline
237 & 16 & 14.9276 & 1.07236 \tabularnewline
238 & 9 & 14.0378 & -5.03777 \tabularnewline
239 & 13 & 14.7436 & -1.74358 \tabularnewline
240 & 15 & 12.9778 & 2.02218 \tabularnewline
241 & 19 & 15.1342 & 3.86585 \tabularnewline
242 & 16 & 15.3108 & 0.689231 \tabularnewline
243 & 17 & 13.6125 & 3.38754 \tabularnewline
244 & 16 & 14.891 & 1.10904 \tabularnewline
245 & 9 & 13.8703 & -4.87028 \tabularnewline
246 & 11 & 13.9819 & -2.98195 \tabularnewline
247 & 14 & 14.4739 & -0.47389 \tabularnewline
248 & 19 & 13.8097 & 5.19035 \tabularnewline
249 & 13 & 13.6528 & -0.652828 \tabularnewline
250 & 14 & 14.8504 & -0.850377 \tabularnewline
251 & 15 & 14.7903 & 0.209713 \tabularnewline
252 & 15 & 14.6649 & 0.335093 \tabularnewline
253 & 14 & 14.3046 & -0.304619 \tabularnewline
254 & 16 & 14.6458 & 1.35417 \tabularnewline
255 & 17 & 13.1245 & 3.87546 \tabularnewline
256 & 12 & 13.918 & -1.918 \tabularnewline
257 & 15 & 14.9688 & 0.0312131 \tabularnewline
258 & 17 & 14.6994 & 2.30056 \tabularnewline
259 & 15 & 15.1106 & -0.110575 \tabularnewline
260 & 10 & 14.1265 & -4.12648 \tabularnewline
261 & 16 & 13.5348 & 2.46525 \tabularnewline
262 & 15 & 14.4977 & 0.502325 \tabularnewline
263 & 11 & 14.2101 & -3.21011 \tabularnewline
264 & 16 & 14.1122 & 1.88778 \tabularnewline
265 & 16 & 14.8849 & 1.11514 \tabularnewline
266 & 16 & 14.3115 & 1.68853 \tabularnewline
267 & 14 & 14.4017 & -0.401699 \tabularnewline
268 & 14 & 13.1428 & 0.857238 \tabularnewline
269 & 16 & 15.1425 & 0.857523 \tabularnewline
270 & 16 & 15.4786 & 0.521389 \tabularnewline
271 & 18 & 15.1916 & 2.80841 \tabularnewline
272 & 14 & 14.8468 & -0.846848 \tabularnewline
273 & 20 & 14.0326 & 5.96745 \tabularnewline
274 & 15 & 13.9464 & 1.05357 \tabularnewline
275 & 16 & 14.2687 & 1.73133 \tabularnewline
276 & 16 & 14.8718 & 1.12816 \tabularnewline
277 & 16 & 14.1812 & 1.81884 \tabularnewline
278 & 12 & 14.57 & -2.57001 \tabularnewline
279 & 8 & 13.9419 & -5.94189 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268061&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]13[/C][C]12.9414[/C][C]0.0585849[/C][/ROW]
[ROW][C]2[/C][C]8[/C][C]14.6346[/C][C]-6.63459[/C][/ROW]
[ROW][C]3[/C][C]14[/C][C]13.3121[/C][C]0.687916[/C][/ROW]
[ROW][C]4[/C][C]16[/C][C]15.1952[/C][C]0.804762[/C][/ROW]
[ROW][C]5[/C][C]14[/C][C]14.1909[/C][C]-0.190904[/C][/ROW]
[ROW][C]6[/C][C]13[/C][C]14.1708[/C][C]-1.17077[/C][/ROW]
[ROW][C]7[/C][C]15[/C][C]14.1037[/C][C]0.896265[/C][/ROW]
[ROW][C]8[/C][C]13[/C][C]13.9753[/C][C]-0.975313[/C][/ROW]
[ROW][C]9[/C][C]20[/C][C]16.2668[/C][C]3.73319[/C][/ROW]
[ROW][C]10[/C][C]17[/C][C]15.1535[/C][C]1.84646[/C][/ROW]
[ROW][C]11[/C][C]15[/C][C]14.3304[/C][C]0.669575[/C][/ROW]
[ROW][C]12[/C][C]16[/C][C]15.0509[/C][C]0.949106[/C][/ROW]
[ROW][C]13[/C][C]12[/C][C]14.4116[/C][C]-2.41163[/C][/ROW]
[ROW][C]14[/C][C]17[/C][C]14.1751[/C][C]2.82492[/C][/ROW]
[ROW][C]15[/C][C]11[/C][C]15.1169[/C][C]-4.11689[/C][/ROW]
[ROW][C]16[/C][C]16[/C][C]14.6615[/C][C]1.33845[/C][/ROW]
[ROW][C]17[/C][C]16[/C][C]14.036[/C][C]1.96403[/C][/ROW]
[ROW][C]18[/C][C]15[/C][C]14.4754[/C][C]0.524616[/C][/ROW]
[ROW][C]19[/C][C]13[/C][C]14.4269[/C][C]-1.42687[/C][/ROW]
[ROW][C]20[/C][C]14[/C][C]15.5131[/C][C]-1.5131[/C][/ROW]
[ROW][C]21[/C][C]19[/C][C]15.3822[/C][C]3.61781[/C][/ROW]
[ROW][C]22[/C][C]16[/C][C]14.4776[/C][C]1.52241[/C][/ROW]
[ROW][C]23[/C][C]17[/C][C]14.6642[/C][C]2.33575[/C][/ROW]
[ROW][C]24[/C][C]10[/C][C]14.6081[/C][C]-4.60814[/C][/ROW]
[ROW][C]25[/C][C]15[/C][C]15.0446[/C][C]-0.0446025[/C][/ROW]
[ROW][C]26[/C][C]14[/C][C]14.2907[/C][C]-0.290686[/C][/ROW]
[ROW][C]27[/C][C]14[/C][C]14.5277[/C][C]-0.527744[/C][/ROW]
[ROW][C]28[/C][C]16[/C][C]14.1281[/C][C]1.8719[/C][/ROW]
[ROW][C]29[/C][C]15[/C][C]15.3633[/C][C]-0.36329[/C][/ROW]
[ROW][C]30[/C][C]17[/C][C]14.032[/C][C]2.96797[/C][/ROW]
[ROW][C]31[/C][C]14[/C][C]13.0615[/C][C]0.938541[/C][/ROW]
[ROW][C]32[/C][C]16[/C][C]14.257[/C][C]1.74301[/C][/ROW]
[ROW][C]33[/C][C]15[/C][C]14.7528[/C][C]0.247166[/C][/ROW]
[ROW][C]34[/C][C]16[/C][C]12.6418[/C][C]3.3582[/C][/ROW]
[ROW][C]35[/C][C]16[/C][C]14.3427[/C][C]1.65733[/C][/ROW]
[ROW][C]36[/C][C]10[/C][C]14.67[/C][C]-4.67001[/C][/ROW]
[ROW][C]37[/C][C]8[/C][C]13.8628[/C][C]-5.86277[/C][/ROW]
[ROW][C]38[/C][C]17[/C][C]14.4278[/C][C]2.57221[/C][/ROW]
[ROW][C]39[/C][C]14[/C][C]14.9566[/C][C]-0.956623[/C][/ROW]
[ROW][C]40[/C][C]10[/C][C]13.5279[/C][C]-3.52793[/C][/ROW]
[ROW][C]41[/C][C]14[/C][C]13.7733[/C][C]0.226717[/C][/ROW]
[ROW][C]42[/C][C]12[/C][C]14.1555[/C][C]-2.15546[/C][/ROW]
[ROW][C]43[/C][C]16[/C][C]13.8841[/C][C]2.1159[/C][/ROW]
[ROW][C]44[/C][C]16[/C][C]12.3265[/C][C]3.67345[/C][/ROW]
[ROW][C]45[/C][C]16[/C][C]12.5169[/C][C]3.4831[/C][/ROW]
[ROW][C]46[/C][C]8[/C][C]15.3584[/C][C]-7.35836[/C][/ROW]
[ROW][C]47[/C][C]16[/C][C]14.565[/C][C]1.43499[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.8763[/C][C]0.123712[/C][/ROW]
[ROW][C]49[/C][C]8[/C][C]14.7101[/C][C]-6.71012[/C][/ROW]
[ROW][C]50[/C][C]13[/C][C]14.5183[/C][C]-1.51833[/C][/ROW]
[ROW][C]51[/C][C]14[/C][C]14.7162[/C][C]-0.716204[/C][/ROW]
[ROW][C]52[/C][C]13[/C][C]13.9111[/C][C]-0.911057[/C][/ROW]
[ROW][C]53[/C][C]16[/C][C]14.0574[/C][C]1.94261[/C][/ROW]
[ROW][C]54[/C][C]19[/C][C]15.4433[/C][C]3.55668[/C][/ROW]
[ROW][C]55[/C][C]19[/C][C]15.0486[/C][C]3.95142[/C][/ROW]
[ROW][C]56[/C][C]14[/C][C]14.7473[/C][C]-0.747269[/C][/ROW]
[ROW][C]57[/C][C]15[/C][C]14.0192[/C][C]0.980778[/C][/ROW]
[ROW][C]58[/C][C]13[/C][C]14.2269[/C][C]-1.22686[/C][/ROW]
[ROW][C]59[/C][C]10[/C][C]13.0075[/C][C]-3.00753[/C][/ROW]
[ROW][C]60[/C][C]16[/C][C]14.0282[/C][C]1.9718[/C][/ROW]
[ROW][C]61[/C][C]15[/C][C]15.3019[/C][C]-0.301949[/C][/ROW]
[ROW][C]62[/C][C]11[/C][C]14.4041[/C][C]-3.40411[/C][/ROW]
[ROW][C]63[/C][C]9[/C][C]13.6292[/C][C]-4.6292[/C][/ROW]
[ROW][C]64[/C][C]16[/C][C]13.6213[/C][C]2.37871[/C][/ROW]
[ROW][C]65[/C][C]12[/C][C]14.6328[/C][C]-2.63283[/C][/ROW]
[ROW][C]66[/C][C]12[/C][C]13.59[/C][C]-1.58999[/C][/ROW]
[ROW][C]67[/C][C]14[/C][C]15.1524[/C][C]-1.15241[/C][/ROW]
[ROW][C]68[/C][C]14[/C][C]14.5468[/C][C]-0.546777[/C][/ROW]
[ROW][C]69[/C][C]13[/C][C]13.3357[/C][C]-0.335735[/C][/ROW]
[ROW][C]70[/C][C]15[/C][C]13.2169[/C][C]1.78305[/C][/ROW]
[ROW][C]71[/C][C]17[/C][C]13.959[/C][C]3.041[/C][/ROW]
[ROW][C]72[/C][C]14[/C][C]13.5931[/C][C]0.406899[/C][/ROW]
[ROW][C]73[/C][C]11[/C][C]14.6334[/C][C]-3.63337[/C][/ROW]
[ROW][C]74[/C][C]9[/C][C]15.2745[/C][C]-6.27447[/C][/ROW]
[ROW][C]75[/C][C]7[/C][C]12.53[/C][C]-5.53[/C][/ROW]
[ROW][C]76[/C][C]13[/C][C]14.7385[/C][C]-1.73848[/C][/ROW]
[ROW][C]77[/C][C]15[/C][C]13.7502[/C][C]1.24976[/C][/ROW]
[ROW][C]78[/C][C]12[/C][C]13.5138[/C][C]-1.51381[/C][/ROW]
[ROW][C]79[/C][C]15[/C][C]14.9908[/C][C]0.00919271[/C][/ROW]
[ROW][C]80[/C][C]14[/C][C]12.8823[/C][C]1.11771[/C][/ROW]
[ROW][C]81[/C][C]16[/C][C]14.481[/C][C]1.51895[/C][/ROW]
[ROW][C]82[/C][C]14[/C][C]14.0663[/C][C]-0.0663111[/C][/ROW]
[ROW][C]83[/C][C]13[/C][C]14.137[/C][C]-1.137[/C][/ROW]
[ROW][C]84[/C][C]16[/C][C]14.3227[/C][C]1.67729[/C][/ROW]
[ROW][C]85[/C][C]13[/C][C]14.613[/C][C]-1.61296[/C][/ROW]
[ROW][C]86[/C][C]16[/C][C]13.7856[/C][C]2.21437[/C][/ROW]
[ROW][C]87[/C][C]16[/C][C]14.7215[/C][C]1.27852[/C][/ROW]
[ROW][C]88[/C][C]16[/C][C]14.5274[/C][C]1.47262[/C][/ROW]
[ROW][C]89[/C][C]10[/C][C]15.2598[/C][C]-5.25975[/C][/ROW]
[ROW][C]90[/C][C]12[/C][C]14.5749[/C][C]-2.57487[/C][/ROW]
[ROW][C]91[/C][C]12[/C][C]14.2919[/C][C]-2.29185[/C][/ROW]
[ROW][C]92[/C][C]12[/C][C]14.3278[/C][C]-2.32782[/C][/ROW]
[ROW][C]93[/C][C]12[/C][C]13.152[/C][C]-1.15197[/C][/ROW]
[ROW][C]94[/C][C]19[/C][C]15.1527[/C][C]3.84729[/C][/ROW]
[ROW][C]95[/C][C]14[/C][C]13.3445[/C][C]0.655495[/C][/ROW]
[ROW][C]96[/C][C]13[/C][C]14.5072[/C][C]-1.50717[/C][/ROW]
[ROW][C]97[/C][C]16[/C][C]15.2313[/C][C]0.768659[/C][/ROW]
[ROW][C]98[/C][C]15[/C][C]14.816[/C][C]0.184048[/C][/ROW]
[ROW][C]99[/C][C]12[/C][C]14.6052[/C][C]-2.60521[/C][/ROW]
[ROW][C]100[/C][C]8[/C][C]13.8133[/C][C]-5.81327[/C][/ROW]
[ROW][C]101[/C][C]10[/C][C]15.2297[/C][C]-5.22969[/C][/ROW]
[ROW][C]102[/C][C]16[/C][C]14.6901[/C][C]1.30993[/C][/ROW]
[ROW][C]103[/C][C]16[/C][C]15.3758[/C][C]0.624242[/C][/ROW]
[ROW][C]104[/C][C]10[/C][C]11.924[/C][C]-1.92397[/C][/ROW]
[ROW][C]105[/C][C]18[/C][C]14.7165[/C][C]3.28349[/C][/ROW]
[ROW][C]106[/C][C]12[/C][C]14.5774[/C][C]-2.57738[/C][/ROW]
[ROW][C]107[/C][C]16[/C][C]14.322[/C][C]1.67803[/C][/ROW]
[ROW][C]108[/C][C]10[/C][C]14.1659[/C][C]-4.16588[/C][/ROW]
[ROW][C]109[/C][C]14[/C][C]14.1319[/C][C]-0.131932[/C][/ROW]
[ROW][C]110[/C][C]12[/C][C]14.8268[/C][C]-2.82678[/C][/ROW]
[ROW][C]111[/C][C]11[/C][C]14.6471[/C][C]-3.64706[/C][/ROW]
[ROW][C]112[/C][C]15[/C][C]15.0895[/C][C]-0.0895484[/C][/ROW]
[ROW][C]113[/C][C]7[/C][C]14.6789[/C][C]-7.67891[/C][/ROW]
[ROW][C]114[/C][C]16[/C][C]14.3383[/C][C]1.66168[/C][/ROW]
[ROW][C]115[/C][C]16[/C][C]13.1187[/C][C]2.88128[/C][/ROW]
[ROW][C]116[/C][C]16[/C][C]14.3588[/C][C]1.64122[/C][/ROW]
[ROW][C]117[/C][C]16[/C][C]14.9291[/C][C]1.07086[/C][/ROW]
[ROW][C]118[/C][C]12[/C][C]14.2846[/C][C]-2.28458[/C][/ROW]
[ROW][C]119[/C][C]15[/C][C]14.2056[/C][C]0.794442[/C][/ROW]
[ROW][C]120[/C][C]14[/C][C]14.6636[/C][C]-0.66363[/C][/ROW]
[ROW][C]121[/C][C]15[/C][C]14.8022[/C][C]0.197809[/C][/ROW]
[ROW][C]122[/C][C]16[/C][C]14.9428[/C][C]1.05719[/C][/ROW]
[ROW][C]123[/C][C]13[/C][C]14.4445[/C][C]-1.4445[/C][/ROW]
[ROW][C]124[/C][C]10[/C][C]14.2244[/C][C]-4.22445[/C][/ROW]
[ROW][C]125[/C][C]17[/C][C]15.0242[/C][C]1.97578[/C][/ROW]
[ROW][C]126[/C][C]15[/C][C]15.0585[/C][C]-0.0584995[/C][/ROW]
[ROW][C]127[/C][C]18[/C][C]14.3629[/C][C]3.63707[/C][/ROW]
[ROW][C]128[/C][C]16[/C][C]13.8648[/C][C]2.13518[/C][/ROW]
[ROW][C]129[/C][C]20[/C][C]14.1407[/C][C]5.85927[/C][/ROW]
[ROW][C]130[/C][C]16[/C][C]15.4111[/C][C]0.588949[/C][/ROW]
[ROW][C]131[/C][C]17[/C][C]14.286[/C][C]2.71404[/C][/ROW]
[ROW][C]132[/C][C]16[/C][C]14.1132[/C][C]1.88676[/C][/ROW]
[ROW][C]133[/C][C]15[/C][C]14.5274[/C][C]0.472596[/C][/ROW]
[ROW][C]134[/C][C]13[/C][C]13.9451[/C][C]-0.945137[/C][/ROW]
[ROW][C]135[/C][C]16[/C][C]15.2779[/C][C]0.722087[/C][/ROW]
[ROW][C]136[/C][C]16[/C][C]13.3224[/C][C]2.67764[/C][/ROW]
[ROW][C]137[/C][C]16[/C][C]14.93[/C][C]1.07002[/C][/ROW]
[ROW][C]138[/C][C]17[/C][C]14.233[/C][C]2.76701[/C][/ROW]
[ROW][C]139[/C][C]20[/C][C]14.3009[/C][C]5.69914[/C][/ROW]
[ROW][C]140[/C][C]14[/C][C]14.8743[/C][C]-0.874255[/C][/ROW]
[ROW][C]141[/C][C]17[/C][C]14.9252[/C][C]2.07479[/C][/ROW]
[ROW][C]142[/C][C]6[/C][C]13.7121[/C][C]-7.7121[/C][/ROW]
[ROW][C]143[/C][C]16[/C][C]14.232[/C][C]1.76797[/C][/ROW]
[ROW][C]144[/C][C]15[/C][C]14.8599[/C][C]0.14011[/C][/ROW]
[ROW][C]145[/C][C]16[/C][C]14.7512[/C][C]1.24878[/C][/ROW]
[ROW][C]146[/C][C]16[/C][C]14.3977[/C][C]1.60228[/C][/ROW]
[ROW][C]147[/C][C]14[/C][C]13.5925[/C][C]0.407538[/C][/ROW]
[ROW][C]148[/C][C]16[/C][C]16.046[/C][C]-0.04598[/C][/ROW]
[ROW][C]149[/C][C]16[/C][C]14.3397[/C][C]1.66032[/C][/ROW]
[ROW][C]150[/C][C]16[/C][C]13.9282[/C][C]2.07181[/C][/ROW]
[ROW][C]151[/C][C]14[/C][C]14.527[/C][C]-0.526983[/C][/ROW]
[ROW][C]152[/C][C]14[/C][C]14.7016[/C][C]-0.701616[/C][/ROW]
[ROW][C]153[/C][C]16[/C][C]14.7097[/C][C]1.29027[/C][/ROW]
[ROW][C]154[/C][C]16[/C][C]15.0575[/C][C]0.942536[/C][/ROW]
[ROW][C]155[/C][C]15[/C][C]12.7601[/C][C]2.23986[/C][/ROW]
[ROW][C]156[/C][C]16[/C][C]16.1159[/C][C]-0.115932[/C][/ROW]
[ROW][C]157[/C][C]16[/C][C]14.9006[/C][C]1.09945[/C][/ROW]
[ROW][C]158[/C][C]18[/C][C]15.5574[/C][C]2.44261[/C][/ROW]
[ROW][C]159[/C][C]15[/C][C]14.538[/C][C]0.462041[/C][/ROW]
[ROW][C]160[/C][C]16[/C][C]15.6471[/C][C]0.352904[/C][/ROW]
[ROW][C]161[/C][C]16[/C][C]13.1612[/C][C]2.83879[/C][/ROW]
[ROW][C]162[/C][C]16[/C][C]14.022[/C][C]1.97798[/C][/ROW]
[ROW][C]163[/C][C]17[/C][C]14.6618[/C][C]2.33824[/C][/ROW]
[ROW][C]164[/C][C]14[/C][C]13.4923[/C][C]0.5077[/C][/ROW]
[ROW][C]165[/C][C]18[/C][C]14.8689[/C][C]3.13107[/C][/ROW]
[ROW][C]166[/C][C]9[/C][C]14.9562[/C][C]-5.95616[/C][/ROW]
[ROW][C]167[/C][C]15[/C][C]14.6634[/C][C]0.33659[/C][/ROW]
[ROW][C]168[/C][C]14[/C][C]14.3309[/C][C]-0.330928[/C][/ROW]
[ROW][C]169[/C][C]15[/C][C]14.8605[/C][C]0.139472[/C][/ROW]
[ROW][C]170[/C][C]13[/C][C]15.3524[/C][C]-2.35239[/C][/ROW]
[ROW][C]171[/C][C]16[/C][C]15.3439[/C][C]0.65607[/C][/ROW]
[ROW][C]172[/C][C]20[/C][C]16.2296[/C][C]3.77043[/C][/ROW]
[ROW][C]173[/C][C]14[/C][C]14.0824[/C][C]-0.0824085[/C][/ROW]
[ROW][C]174[/C][C]12[/C][C]14.7143[/C][C]-2.71427[/C][/ROW]
[ROW][C]175[/C][C]15[/C][C]14.4548[/C][C]0.545187[/C][/ROW]
[ROW][C]176[/C][C]15[/C][C]14.5465[/C][C]0.453544[/C][/ROW]
[ROW][C]177[/C][C]15[/C][C]14.3286[/C][C]0.671369[/C][/ROW]
[ROW][C]178[/C][C]16[/C][C]13.8591[/C][C]2.14094[/C][/ROW]
[ROW][C]179[/C][C]11[/C][C]12.4978[/C][C]-1.49779[/C][/ROW]
[ROW][C]180[/C][C]16[/C][C]14.3521[/C][C]1.64786[/C][/ROW]
[ROW][C]181[/C][C]7[/C][C]13.3103[/C][C]-6.31031[/C][/ROW]
[ROW][C]182[/C][C]11[/C][C]14.4298[/C][C]-3.42975[/C][/ROW]
[ROW][C]183[/C][C]9[/C][C]13.2441[/C][C]-4.24413[/C][/ROW]
[ROW][C]184[/C][C]15[/C][C]14.6656[/C][C]0.334378[/C][/ROW]
[ROW][C]185[/C][C]16[/C][C]14.8612[/C][C]1.13881[/C][/ROW]
[ROW][C]186[/C][C]14[/C][C]13.1295[/C][C]0.870508[/C][/ROW]
[ROW][C]187[/C][C]15[/C][C]14.7336[/C][C]0.266388[/C][/ROW]
[ROW][C]188[/C][C]13[/C][C]15.2209[/C][C]-2.22094[/C][/ROW]
[ROW][C]189[/C][C]13[/C][C]15.3459[/C][C]-2.34587[/C][/ROW]
[ROW][C]190[/C][C]12[/C][C]15.6553[/C][C]-3.65528[/C][/ROW]
[ROW][C]191[/C][C]16[/C][C]14.334[/C][C]1.66595[/C][/ROW]
[ROW][C]192[/C][C]14[/C][C]14.1168[/C][C]-0.116797[/C][/ROW]
[ROW][C]193[/C][C]16[/C][C]15.3281[/C][C]0.671906[/C][/ROW]
[ROW][C]194[/C][C]14[/C][C]15.0848[/C][C]-1.08478[/C][/ROW]
[ROW][C]195[/C][C]15[/C][C]14.978[/C][C]0.0220325[/C][/ROW]
[ROW][C]196[/C][C]10[/C][C]13.0839[/C][C]-3.08386[/C][/ROW]
[ROW][C]197[/C][C]16[/C][C]14.9213[/C][C]1.07874[/C][/ROW]
[ROW][C]198[/C][C]14[/C][C]13.6756[/C][C]0.324357[/C][/ROW]
[ROW][C]199[/C][C]16[/C][C]13.6411[/C][C]2.35888[/C][/ROW]
[ROW][C]200[/C][C]12[/C][C]14.2129[/C][C]-2.21287[/C][/ROW]
[ROW][C]201[/C][C]16[/C][C]15.1934[/C][C]0.806575[/C][/ROW]
[ROW][C]202[/C][C]16[/C][C]15.8763[/C][C]0.123675[/C][/ROW]
[ROW][C]203[/C][C]15[/C][C]15.1435[/C][C]-0.143538[/C][/ROW]
[ROW][C]204[/C][C]14[/C][C]14.3737[/C][C]-0.373664[/C][/ROW]
[ROW][C]205[/C][C]16[/C][C]14.1678[/C][C]1.8322[/C][/ROW]
[ROW][C]206[/C][C]11[/C][C]14.4049[/C][C]-3.40491[/C][/ROW]
[ROW][C]207[/C][C]15[/C][C]13.0479[/C][C]1.95213[/C][/ROW]
[ROW][C]208[/C][C]18[/C][C]13.9352[/C][C]4.0648[/C][/ROW]
[ROW][C]209[/C][C]13[/C][C]13.0826[/C][C]-0.0825795[/C][/ROW]
[ROW][C]210[/C][C]7[/C][C]12.8857[/C][C]-5.88574[/C][/ROW]
[ROW][C]211[/C][C]7[/C][C]14.1679[/C][C]-7.16791[/C][/ROW]
[ROW][C]212[/C][C]17[/C][C]14.6268[/C][C]2.37316[/C][/ROW]
[ROW][C]213[/C][C]18[/C][C]14.5299[/C][C]3.47006[/C][/ROW]
[ROW][C]214[/C][C]15[/C][C]14.2534[/C][C]0.746644[/C][/ROW]
[ROW][C]215[/C][C]8[/C][C]14.1353[/C][C]-6.13534[/C][/ROW]
[ROW][C]216[/C][C]13[/C][C]14.2055[/C][C]-1.20546[/C][/ROW]
[ROW][C]217[/C][C]13[/C][C]14.6104[/C][C]-1.61038[/C][/ROW]
[ROW][C]218[/C][C]15[/C][C]13.6338[/C][C]1.36623[/C][/ROW]
[ROW][C]219[/C][C]18[/C][C]14.5908[/C][C]3.40921[/C][/ROW]
[ROW][C]220[/C][C]16[/C][C]13.7429[/C][C]2.25708[/C][/ROW]
[ROW][C]221[/C][C]14[/C][C]14.3063[/C][C]-0.306276[/C][/ROW]
[ROW][C]222[/C][C]15[/C][C]14.4521[/C][C]0.54788[/C][/ROW]
[ROW][C]223[/C][C]19[/C][C]15.1061[/C][C]3.89392[/C][/ROW]
[ROW][C]224[/C][C]16[/C][C]14.8197[/C][C]1.18027[/C][/ROW]
[ROW][C]225[/C][C]12[/C][C]13.4901[/C][C]-1.49013[/C][/ROW]
[ROW][C]226[/C][C]16[/C][C]14.5986[/C][C]1.40144[/C][/ROW]
[ROW][C]227[/C][C]11[/C][C]13.9743[/C][C]-2.97431[/C][/ROW]
[ROW][C]228[/C][C]16[/C][C]14.4244[/C][C]1.57557[/C][/ROW]
[ROW][C]229[/C][C]15[/C][C]14.9177[/C][C]0.0823279[/C][/ROW]
[ROW][C]230[/C][C]19[/C][C]14.9704[/C][C]4.02955[/C][/ROW]
[ROW][C]231[/C][C]15[/C][C]14.2122[/C][C]0.787801[/C][/ROW]
[ROW][C]232[/C][C]14[/C][C]15.1431[/C][C]-1.14308[/C][/ROW]
[ROW][C]233[/C][C]14[/C][C]13.6697[/C][C]0.33032[/C][/ROW]
[ROW][C]234[/C][C]17[/C][C]14.8578[/C][C]2.14224[/C][/ROW]
[ROW][C]235[/C][C]16[/C][C]14.1072[/C][C]1.89284[/C][/ROW]
[ROW][C]236[/C][C]20[/C][C]13.6568[/C][C]6.34322[/C][/ROW]
[ROW][C]237[/C][C]16[/C][C]14.9276[/C][C]1.07236[/C][/ROW]
[ROW][C]238[/C][C]9[/C][C]14.0378[/C][C]-5.03777[/C][/ROW]
[ROW][C]239[/C][C]13[/C][C]14.7436[/C][C]-1.74358[/C][/ROW]
[ROW][C]240[/C][C]15[/C][C]12.9778[/C][C]2.02218[/C][/ROW]
[ROW][C]241[/C][C]19[/C][C]15.1342[/C][C]3.86585[/C][/ROW]
[ROW][C]242[/C][C]16[/C][C]15.3108[/C][C]0.689231[/C][/ROW]
[ROW][C]243[/C][C]17[/C][C]13.6125[/C][C]3.38754[/C][/ROW]
[ROW][C]244[/C][C]16[/C][C]14.891[/C][C]1.10904[/C][/ROW]
[ROW][C]245[/C][C]9[/C][C]13.8703[/C][C]-4.87028[/C][/ROW]
[ROW][C]246[/C][C]11[/C][C]13.9819[/C][C]-2.98195[/C][/ROW]
[ROW][C]247[/C][C]14[/C][C]14.4739[/C][C]-0.47389[/C][/ROW]
[ROW][C]248[/C][C]19[/C][C]13.8097[/C][C]5.19035[/C][/ROW]
[ROW][C]249[/C][C]13[/C][C]13.6528[/C][C]-0.652828[/C][/ROW]
[ROW][C]250[/C][C]14[/C][C]14.8504[/C][C]-0.850377[/C][/ROW]
[ROW][C]251[/C][C]15[/C][C]14.7903[/C][C]0.209713[/C][/ROW]
[ROW][C]252[/C][C]15[/C][C]14.6649[/C][C]0.335093[/C][/ROW]
[ROW][C]253[/C][C]14[/C][C]14.3046[/C][C]-0.304619[/C][/ROW]
[ROW][C]254[/C][C]16[/C][C]14.6458[/C][C]1.35417[/C][/ROW]
[ROW][C]255[/C][C]17[/C][C]13.1245[/C][C]3.87546[/C][/ROW]
[ROW][C]256[/C][C]12[/C][C]13.918[/C][C]-1.918[/C][/ROW]
[ROW][C]257[/C][C]15[/C][C]14.9688[/C][C]0.0312131[/C][/ROW]
[ROW][C]258[/C][C]17[/C][C]14.6994[/C][C]2.30056[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]15.1106[/C][C]-0.110575[/C][/ROW]
[ROW][C]260[/C][C]10[/C][C]14.1265[/C][C]-4.12648[/C][/ROW]
[ROW][C]261[/C][C]16[/C][C]13.5348[/C][C]2.46525[/C][/ROW]
[ROW][C]262[/C][C]15[/C][C]14.4977[/C][C]0.502325[/C][/ROW]
[ROW][C]263[/C][C]11[/C][C]14.2101[/C][C]-3.21011[/C][/ROW]
[ROW][C]264[/C][C]16[/C][C]14.1122[/C][C]1.88778[/C][/ROW]
[ROW][C]265[/C][C]16[/C][C]14.8849[/C][C]1.11514[/C][/ROW]
[ROW][C]266[/C][C]16[/C][C]14.3115[/C][C]1.68853[/C][/ROW]
[ROW][C]267[/C][C]14[/C][C]14.4017[/C][C]-0.401699[/C][/ROW]
[ROW][C]268[/C][C]14[/C][C]13.1428[/C][C]0.857238[/C][/ROW]
[ROW][C]269[/C][C]16[/C][C]15.1425[/C][C]0.857523[/C][/ROW]
[ROW][C]270[/C][C]16[/C][C]15.4786[/C][C]0.521389[/C][/ROW]
[ROW][C]271[/C][C]18[/C][C]15.1916[/C][C]2.80841[/C][/ROW]
[ROW][C]272[/C][C]14[/C][C]14.8468[/C][C]-0.846848[/C][/ROW]
[ROW][C]273[/C][C]20[/C][C]14.0326[/C][C]5.96745[/C][/ROW]
[ROW][C]274[/C][C]15[/C][C]13.9464[/C][C]1.05357[/C][/ROW]
[ROW][C]275[/C][C]16[/C][C]14.2687[/C][C]1.73133[/C][/ROW]
[ROW][C]276[/C][C]16[/C][C]14.8718[/C][C]1.12816[/C][/ROW]
[ROW][C]277[/C][C]16[/C][C]14.1812[/C][C]1.81884[/C][/ROW]
[ROW][C]278[/C][C]12[/C][C]14.57[/C][C]-2.57001[/C][/ROW]
[ROW][C]279[/C][C]8[/C][C]13.9419[/C][C]-5.94189[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268061&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268061&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
11312.94140.0585849
2814.6346-6.63459
31413.31210.687916
41615.19520.804762
51414.1909-0.190904
61314.1708-1.17077
71514.10370.896265
81313.9753-0.975313
92016.26683.73319
101715.15351.84646
111514.33040.669575
121615.05090.949106
131214.4116-2.41163
141714.17512.82492
151115.1169-4.11689
161614.66151.33845
171614.0361.96403
181514.47540.524616
191314.4269-1.42687
201415.5131-1.5131
211915.38223.61781
221614.47761.52241
231714.66422.33575
241014.6081-4.60814
251515.0446-0.0446025
261414.2907-0.290686
271414.5277-0.527744
281614.12811.8719
291515.3633-0.36329
301714.0322.96797
311413.06150.938541
321614.2571.74301
331514.75280.247166
341612.64183.3582
351614.34271.65733
361014.67-4.67001
37813.8628-5.86277
381714.42782.57221
391414.9566-0.956623
401013.5279-3.52793
411413.77330.226717
421214.1555-2.15546
431613.88412.1159
441612.32653.67345
451612.51693.4831
46815.3584-7.35836
471614.5651.43499
481514.87630.123712
49814.7101-6.71012
501314.5183-1.51833
511414.7162-0.716204
521313.9111-0.911057
531614.05741.94261
541915.44333.55668
551915.04863.95142
561414.7473-0.747269
571514.01920.980778
581314.2269-1.22686
591013.0075-3.00753
601614.02821.9718
611515.3019-0.301949
621114.4041-3.40411
63913.6292-4.6292
641613.62132.37871
651214.6328-2.63283
661213.59-1.58999
671415.1524-1.15241
681414.5468-0.546777
691313.3357-0.335735
701513.21691.78305
711713.9593.041
721413.59310.406899
731114.6334-3.63337
74915.2745-6.27447
75712.53-5.53
761314.7385-1.73848
771513.75021.24976
781213.5138-1.51381
791514.99080.00919271
801412.88231.11771
811614.4811.51895
821414.0663-0.0663111
831314.137-1.137
841614.32271.67729
851314.613-1.61296
861613.78562.21437
871614.72151.27852
881614.52741.47262
891015.2598-5.25975
901214.5749-2.57487
911214.2919-2.29185
921214.3278-2.32782
931213.152-1.15197
941915.15273.84729
951413.34450.655495
961314.5072-1.50717
971615.23130.768659
981514.8160.184048
991214.6052-2.60521
100813.8133-5.81327
1011015.2297-5.22969
1021614.69011.30993
1031615.37580.624242
1041011.924-1.92397
1051814.71653.28349
1061214.5774-2.57738
1071614.3221.67803
1081014.1659-4.16588
1091414.1319-0.131932
1101214.8268-2.82678
1111114.6471-3.64706
1121515.0895-0.0895484
113714.6789-7.67891
1141614.33831.66168
1151613.11872.88128
1161614.35881.64122
1171614.92911.07086
1181214.2846-2.28458
1191514.20560.794442
1201414.6636-0.66363
1211514.80220.197809
1221614.94281.05719
1231314.4445-1.4445
1241014.2244-4.22445
1251715.02421.97578
1261515.0585-0.0584995
1271814.36293.63707
1281613.86482.13518
1292014.14075.85927
1301615.41110.588949
1311714.2862.71404
1321614.11321.88676
1331514.52740.472596
1341313.9451-0.945137
1351615.27790.722087
1361613.32242.67764
1371614.931.07002
1381714.2332.76701
1392014.30095.69914
1401414.8743-0.874255
1411714.92522.07479
142613.7121-7.7121
1431614.2321.76797
1441514.85990.14011
1451614.75121.24878
1461614.39771.60228
1471413.59250.407538
1481616.046-0.04598
1491614.33971.66032
1501613.92822.07181
1511414.527-0.526983
1521414.7016-0.701616
1531614.70971.29027
1541615.05750.942536
1551512.76012.23986
1561616.1159-0.115932
1571614.90061.09945
1581815.55742.44261
1591514.5380.462041
1601615.64710.352904
1611613.16122.83879
1621614.0221.97798
1631714.66182.33824
1641413.49230.5077
1651814.86893.13107
166914.9562-5.95616
1671514.66340.33659
1681414.3309-0.330928
1691514.86050.139472
1701315.3524-2.35239
1711615.34390.65607
1722016.22963.77043
1731414.0824-0.0824085
1741214.7143-2.71427
1751514.45480.545187
1761514.54650.453544
1771514.32860.671369
1781613.85912.14094
1791112.4978-1.49779
1801614.35211.64786
181713.3103-6.31031
1821114.4298-3.42975
183913.2441-4.24413
1841514.66560.334378
1851614.86121.13881
1861413.12950.870508
1871514.73360.266388
1881315.2209-2.22094
1891315.3459-2.34587
1901215.6553-3.65528
1911614.3341.66595
1921414.1168-0.116797
1931615.32810.671906
1941415.0848-1.08478
1951514.9780.0220325
1961013.0839-3.08386
1971614.92131.07874
1981413.67560.324357
1991613.64112.35888
2001214.2129-2.21287
2011615.19340.806575
2021615.87630.123675
2031515.1435-0.143538
2041414.3737-0.373664
2051614.16781.8322
2061114.4049-3.40491
2071513.04791.95213
2081813.93524.0648
2091313.0826-0.0825795
210712.8857-5.88574
211714.1679-7.16791
2121714.62682.37316
2131814.52993.47006
2141514.25340.746644
215814.1353-6.13534
2161314.2055-1.20546
2171314.6104-1.61038
2181513.63381.36623
2191814.59083.40921
2201613.74292.25708
2211414.3063-0.306276
2221514.45210.54788
2231915.10613.89392
2241614.81971.18027
2251213.4901-1.49013
2261614.59861.40144
2271113.9743-2.97431
2281614.42441.57557
2291514.91770.0823279
2301914.97044.02955
2311514.21220.787801
2321415.1431-1.14308
2331413.66970.33032
2341714.85782.14224
2351614.10721.89284
2362013.65686.34322
2371614.92761.07236
238914.0378-5.03777
2391314.7436-1.74358
2401512.97782.02218
2411915.13423.86585
2421615.31080.689231
2431713.61253.38754
2441614.8911.10904
245913.8703-4.87028
2461113.9819-2.98195
2471414.4739-0.47389
2481913.80975.19035
2491313.6528-0.652828
2501414.8504-0.850377
2511514.79030.209713
2521514.66490.335093
2531414.3046-0.304619
2541614.64581.35417
2551713.12453.87546
2561213.918-1.918
2571514.96880.0312131
2581714.69942.30056
2591515.1106-0.110575
2601014.1265-4.12648
2611613.53482.46525
2621514.49770.502325
2631114.2101-3.21011
2641614.11221.88778
2651614.88491.11514
2661614.31151.68853
2671414.4017-0.401699
2681413.14280.857238
2691615.14250.857523
2701615.47860.521389
2711815.19162.80841
2721414.8468-0.846848
2732014.03265.96745
2741513.94641.05357
2751614.26871.73133
2761614.87181.12816
2771614.18121.81884
2781214.57-2.57001
279813.9419-5.94189






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.7677750.4644490.232225
120.7184160.5631680.281584
130.5949460.8101070.405054
140.4778430.9556860.522157
150.8646390.2707220.135361
160.8019910.3960180.198009
170.7841090.4317820.215891
180.710750.5785010.28925
190.6935270.6129460.306473
200.6798450.6403110.320155
210.640690.7186190.35931
220.5685430.8629130.431457
230.5078860.9842290.492114
240.6827050.6345890.317295
250.6177980.7644040.382202
260.5507520.8984960.449248
270.4824450.964890.517555
280.4422760.8845510.557724
290.3779670.7559340.622033
300.3555840.7111680.644416
310.3151870.6303740.684813
320.2663970.5327940.733603
330.2199260.4398520.780074
340.1918150.3836310.808185
350.1659240.3318480.834076
360.2758890.5517790.724111
370.6212810.7574380.378719
380.6136680.7726640.386332
390.5630590.8738810.436941
400.5961960.8076080.403804
410.5476160.9047680.452384
420.5261450.9477110.473855
430.5039140.9921720.496086
440.5119920.9760160.488008
450.5140260.9719480.485974
460.7503140.4993710.249686
470.7224120.5551760.277588
480.68040.63920.3196
490.8633790.2732420.136621
500.8398630.3202750.160137
510.8108560.3782890.189144
520.7819830.4360330.218017
530.7526840.4946310.247316
540.7830920.4338170.216908
550.8175080.3649830.182492
560.7919220.4161570.208078
570.7624630.4750730.237537
580.7324520.5350960.267548
590.733690.5326190.26631
600.717070.565860.28293
610.6794320.6411350.320568
620.7157760.5684470.284224
630.786160.427680.21384
640.7825240.4349510.217476
650.781680.436640.21832
660.7706320.4587360.229368
670.7403760.5192480.259624
680.7067990.5864010.293201
690.6721680.6556650.327832
700.6453390.7093220.354661
710.6623980.6752030.337602
720.6261330.7477340.373867
730.6412790.7174430.358721
740.7455810.5088380.254419
750.8495280.3009450.150472
760.8307840.3384330.169216
770.8085820.3828370.191418
780.7973020.4053960.202698
790.77510.4497990.2249
800.7522390.4955210.247761
810.7307050.538590.269295
820.6988730.6022540.301127
830.6712430.6575150.328757
840.6458170.7083650.354183
850.6197220.7605560.380278
860.6077040.7845920.392296
870.5841270.8317450.415873
880.5589130.8821740.441087
890.6527010.6945990.347299
900.6410190.7179620.358981
910.6322090.7355810.367791
920.6175070.7649860.382493
930.5898880.8202240.410112
940.6420340.7159310.357966
950.6105710.7788570.389429
960.5885220.8229560.411478
970.5631470.8737050.436853
980.5291990.9416020.470801
990.5225920.9548170.477408
1000.6442520.7114960.355748
1010.7240020.5519960.275998
1020.7059580.5880850.294042
1030.6816040.6367920.318396
1040.6799520.6400950.320048
1050.6916010.6167980.308399
1060.6820130.6359750.317987
1070.6616540.6766930.338346
1080.7173990.5652020.282601
1090.6864560.6270870.313544
1100.6886220.6227560.311378
1110.7095370.5809260.290463
1120.6799730.6400540.320027
1130.8600640.2798720.139936
1140.8496320.3007360.150368
1150.8502170.2995660.149783
1160.8404670.3190670.159533
1170.8235570.3528870.176443
1180.817430.3651410.18257
1190.7975710.4048590.202429
1200.7735630.4528730.226437
1210.7472380.5055250.252762
1220.7261730.5476550.273827
1230.7050610.5898780.294939
1240.7482960.5034080.251704
1250.7380930.5238150.261907
1260.7088720.5822560.291128
1270.7342810.5314370.265719
1280.7234340.5531320.276566
1290.821810.3563790.17819
1300.8007990.3984020.199201
1310.8033020.3933970.196698
1320.792270.415460.20773
1330.7678250.464350.232175
1340.7433430.5133140.256657
1350.7178390.5643210.282161
1360.719320.5613610.28068
1370.6975720.6048550.302428
1380.6999290.6001430.300071
1390.8004810.3990380.199519
1400.7783310.4433370.221669
1410.7680040.4639920.231996
1420.9098850.180230.0901149
1430.902530.194940.09747
1440.8877520.2244960.112248
1450.8748030.2503940.125197
1460.8625690.2748620.137431
1470.8430580.3138840.156942
1480.8216680.3566640.178332
1490.8070.3859990.193
1500.7966520.4066970.203348
1510.7716270.4567470.228373
1520.7467610.5064780.253239
1530.724640.5507210.27536
1540.698530.602940.30147
1550.692590.6148190.30741
1560.6611070.6777860.338893
1570.6323990.7352010.367601
1580.6224720.7550570.377528
1590.5894830.8210340.410517
1600.5553770.8892470.444623
1610.5623620.8752760.437638
1620.5493630.9012750.450637
1630.5405440.9189130.459456
1640.5090870.9818250.490913
1650.5172850.965430.482715
1660.652350.69530.34765
1670.620160.7596790.37984
1680.586120.8277610.41388
1690.5509350.8981290.449065
1700.5451040.9097920.454896
1710.5122590.9754810.487741
1720.5343520.9312960.465648
1730.4983530.9967060.501647
1740.5027320.9945370.497268
1750.4675260.9350520.532474
1760.4322360.8644720.567764
1770.3990230.7980460.600977
1780.3867360.7734720.613264
1790.3589570.7179130.641043
1800.3379190.6758370.662081
1810.4974710.9949430.502529
1820.5182390.9635230.481761
1830.5726090.8547820.427391
1840.5405720.9188560.459428
1850.510790.9784210.48921
1860.4769270.9538540.523073
1870.4401520.8803040.559848
1880.4274390.8548780.572561
1890.419540.8390810.58046
1900.4638810.9277630.536119
1910.4367410.8734810.563259
1920.3996220.7992430.600378
1930.3657480.7314960.634252
1940.3395530.6791070.660447
1950.3074770.6149530.692523
1960.3177280.6354550.682272
1970.2879250.5758510.712075
1980.2569850.5139710.743015
1990.2452370.4904750.754763
2000.2487610.4975210.751239
2010.2210180.4420360.778982
2020.2071650.414330.792835
2030.1858920.3717840.814108
2040.1616520.3233040.838348
2050.1476190.2952390.852381
2060.1683920.3367840.831608
2070.164740.329480.83526
2080.2050880.4101760.794912
2090.1797690.3595370.820231
2100.2660140.5320290.733986
2110.5137610.9724780.486239
2120.4928610.9857220.507139
2130.5334760.9330480.466524
2140.4928040.9856080.507196
2150.7028330.5943350.297167
2160.676040.647920.32396
2170.7005820.5988360.299418
2180.6673120.6653750.332688
2190.6968740.6062510.303126
2200.7026120.5947770.297388
2210.662640.6747190.33736
2220.6251810.7496380.374819
2230.6391030.7217940.360897
2240.60710.78580.3929
2250.5674520.8650960.432548
2260.5309630.9380750.469037
2270.5458320.9083360.454168
2280.5058080.9883840.494192
2290.4583320.9166640.541668
2300.4987350.9974690.501265
2310.4512430.9024860.548757
2320.5163430.9673140.483657
2330.4911940.9823880.508806
2340.5023010.9953990.497699
2350.4693620.9387250.530638
2360.6724840.6550320.327516
2370.6248250.7503510.375175
2380.7124530.5750940.287547
2390.6741280.6517440.325872
2400.6289150.742170.371085
2410.6254860.7490280.374514
2420.6113090.7773820.388691
2430.6403620.7192760.359638
2440.5858610.8282780.414139
2450.6425040.7149920.357496
2460.6882070.6235870.311793
2470.6318370.7363270.368163
2480.6515270.6969460.348473
2490.6152710.7694580.384729
2500.578870.842260.42113
2510.5193630.9612740.480637
2520.4522550.9045110.547745
2530.3888860.7777710.611114
2540.3250210.6500420.674979
2550.4241130.8482260.575887
2560.3586060.7172120.641394
2570.2931240.5862480.706876
2580.3340160.6680320.665984
2590.26970.5394010.7303
2600.5597470.8805060.440253
2610.4782150.956430.521785
2620.5514420.8971160.448558
2630.4702690.9405390.529731
2640.622010.7559810.37799
2650.5099470.9801060.490053
2660.4308270.8616550.569173
2670.4299330.8598660.570067
2680.2997580.5995170.700242

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.767775 & 0.464449 & 0.232225 \tabularnewline
12 & 0.718416 & 0.563168 & 0.281584 \tabularnewline
13 & 0.594946 & 0.810107 & 0.405054 \tabularnewline
14 & 0.477843 & 0.955686 & 0.522157 \tabularnewline
15 & 0.864639 & 0.270722 & 0.135361 \tabularnewline
16 & 0.801991 & 0.396018 & 0.198009 \tabularnewline
17 & 0.784109 & 0.431782 & 0.215891 \tabularnewline
18 & 0.71075 & 0.578501 & 0.28925 \tabularnewline
19 & 0.693527 & 0.612946 & 0.306473 \tabularnewline
20 & 0.679845 & 0.640311 & 0.320155 \tabularnewline
21 & 0.64069 & 0.718619 & 0.35931 \tabularnewline
22 & 0.568543 & 0.862913 & 0.431457 \tabularnewline
23 & 0.507886 & 0.984229 & 0.492114 \tabularnewline
24 & 0.682705 & 0.634589 & 0.317295 \tabularnewline
25 & 0.617798 & 0.764404 & 0.382202 \tabularnewline
26 & 0.550752 & 0.898496 & 0.449248 \tabularnewline
27 & 0.482445 & 0.96489 & 0.517555 \tabularnewline
28 & 0.442276 & 0.884551 & 0.557724 \tabularnewline
29 & 0.377967 & 0.755934 & 0.622033 \tabularnewline
30 & 0.355584 & 0.711168 & 0.644416 \tabularnewline
31 & 0.315187 & 0.630374 & 0.684813 \tabularnewline
32 & 0.266397 & 0.532794 & 0.733603 \tabularnewline
33 & 0.219926 & 0.439852 & 0.780074 \tabularnewline
34 & 0.191815 & 0.383631 & 0.808185 \tabularnewline
35 & 0.165924 & 0.331848 & 0.834076 \tabularnewline
36 & 0.275889 & 0.551779 & 0.724111 \tabularnewline
37 & 0.621281 & 0.757438 & 0.378719 \tabularnewline
38 & 0.613668 & 0.772664 & 0.386332 \tabularnewline
39 & 0.563059 & 0.873881 & 0.436941 \tabularnewline
40 & 0.596196 & 0.807608 & 0.403804 \tabularnewline
41 & 0.547616 & 0.904768 & 0.452384 \tabularnewline
42 & 0.526145 & 0.947711 & 0.473855 \tabularnewline
43 & 0.503914 & 0.992172 & 0.496086 \tabularnewline
44 & 0.511992 & 0.976016 & 0.488008 \tabularnewline
45 & 0.514026 & 0.971948 & 0.485974 \tabularnewline
46 & 0.750314 & 0.499371 & 0.249686 \tabularnewline
47 & 0.722412 & 0.555176 & 0.277588 \tabularnewline
48 & 0.6804 & 0.6392 & 0.3196 \tabularnewline
49 & 0.863379 & 0.273242 & 0.136621 \tabularnewline
50 & 0.839863 & 0.320275 & 0.160137 \tabularnewline
51 & 0.810856 & 0.378289 & 0.189144 \tabularnewline
52 & 0.781983 & 0.436033 & 0.218017 \tabularnewline
53 & 0.752684 & 0.494631 & 0.247316 \tabularnewline
54 & 0.783092 & 0.433817 & 0.216908 \tabularnewline
55 & 0.817508 & 0.364983 & 0.182492 \tabularnewline
56 & 0.791922 & 0.416157 & 0.208078 \tabularnewline
57 & 0.762463 & 0.475073 & 0.237537 \tabularnewline
58 & 0.732452 & 0.535096 & 0.267548 \tabularnewline
59 & 0.73369 & 0.532619 & 0.26631 \tabularnewline
60 & 0.71707 & 0.56586 & 0.28293 \tabularnewline
61 & 0.679432 & 0.641135 & 0.320568 \tabularnewline
62 & 0.715776 & 0.568447 & 0.284224 \tabularnewline
63 & 0.78616 & 0.42768 & 0.21384 \tabularnewline
64 & 0.782524 & 0.434951 & 0.217476 \tabularnewline
65 & 0.78168 & 0.43664 & 0.21832 \tabularnewline
66 & 0.770632 & 0.458736 & 0.229368 \tabularnewline
67 & 0.740376 & 0.519248 & 0.259624 \tabularnewline
68 & 0.706799 & 0.586401 & 0.293201 \tabularnewline
69 & 0.672168 & 0.655665 & 0.327832 \tabularnewline
70 & 0.645339 & 0.709322 & 0.354661 \tabularnewline
71 & 0.662398 & 0.675203 & 0.337602 \tabularnewline
72 & 0.626133 & 0.747734 & 0.373867 \tabularnewline
73 & 0.641279 & 0.717443 & 0.358721 \tabularnewline
74 & 0.745581 & 0.508838 & 0.254419 \tabularnewline
75 & 0.849528 & 0.300945 & 0.150472 \tabularnewline
76 & 0.830784 & 0.338433 & 0.169216 \tabularnewline
77 & 0.808582 & 0.382837 & 0.191418 \tabularnewline
78 & 0.797302 & 0.405396 & 0.202698 \tabularnewline
79 & 0.7751 & 0.449799 & 0.2249 \tabularnewline
80 & 0.752239 & 0.495521 & 0.247761 \tabularnewline
81 & 0.730705 & 0.53859 & 0.269295 \tabularnewline
82 & 0.698873 & 0.602254 & 0.301127 \tabularnewline
83 & 0.671243 & 0.657515 & 0.328757 \tabularnewline
84 & 0.645817 & 0.708365 & 0.354183 \tabularnewline
85 & 0.619722 & 0.760556 & 0.380278 \tabularnewline
86 & 0.607704 & 0.784592 & 0.392296 \tabularnewline
87 & 0.584127 & 0.831745 & 0.415873 \tabularnewline
88 & 0.558913 & 0.882174 & 0.441087 \tabularnewline
89 & 0.652701 & 0.694599 & 0.347299 \tabularnewline
90 & 0.641019 & 0.717962 & 0.358981 \tabularnewline
91 & 0.632209 & 0.735581 & 0.367791 \tabularnewline
92 & 0.617507 & 0.764986 & 0.382493 \tabularnewline
93 & 0.589888 & 0.820224 & 0.410112 \tabularnewline
94 & 0.642034 & 0.715931 & 0.357966 \tabularnewline
95 & 0.610571 & 0.778857 & 0.389429 \tabularnewline
96 & 0.588522 & 0.822956 & 0.411478 \tabularnewline
97 & 0.563147 & 0.873705 & 0.436853 \tabularnewline
98 & 0.529199 & 0.941602 & 0.470801 \tabularnewline
99 & 0.522592 & 0.954817 & 0.477408 \tabularnewline
100 & 0.644252 & 0.711496 & 0.355748 \tabularnewline
101 & 0.724002 & 0.551996 & 0.275998 \tabularnewline
102 & 0.705958 & 0.588085 & 0.294042 \tabularnewline
103 & 0.681604 & 0.636792 & 0.318396 \tabularnewline
104 & 0.679952 & 0.640095 & 0.320048 \tabularnewline
105 & 0.691601 & 0.616798 & 0.308399 \tabularnewline
106 & 0.682013 & 0.635975 & 0.317987 \tabularnewline
107 & 0.661654 & 0.676693 & 0.338346 \tabularnewline
108 & 0.717399 & 0.565202 & 0.282601 \tabularnewline
109 & 0.686456 & 0.627087 & 0.313544 \tabularnewline
110 & 0.688622 & 0.622756 & 0.311378 \tabularnewline
111 & 0.709537 & 0.580926 & 0.290463 \tabularnewline
112 & 0.679973 & 0.640054 & 0.320027 \tabularnewline
113 & 0.860064 & 0.279872 & 0.139936 \tabularnewline
114 & 0.849632 & 0.300736 & 0.150368 \tabularnewline
115 & 0.850217 & 0.299566 & 0.149783 \tabularnewline
116 & 0.840467 & 0.319067 & 0.159533 \tabularnewline
117 & 0.823557 & 0.352887 & 0.176443 \tabularnewline
118 & 0.81743 & 0.365141 & 0.18257 \tabularnewline
119 & 0.797571 & 0.404859 & 0.202429 \tabularnewline
120 & 0.773563 & 0.452873 & 0.226437 \tabularnewline
121 & 0.747238 & 0.505525 & 0.252762 \tabularnewline
122 & 0.726173 & 0.547655 & 0.273827 \tabularnewline
123 & 0.705061 & 0.589878 & 0.294939 \tabularnewline
124 & 0.748296 & 0.503408 & 0.251704 \tabularnewline
125 & 0.738093 & 0.523815 & 0.261907 \tabularnewline
126 & 0.708872 & 0.582256 & 0.291128 \tabularnewline
127 & 0.734281 & 0.531437 & 0.265719 \tabularnewline
128 & 0.723434 & 0.553132 & 0.276566 \tabularnewline
129 & 0.82181 & 0.356379 & 0.17819 \tabularnewline
130 & 0.800799 & 0.398402 & 0.199201 \tabularnewline
131 & 0.803302 & 0.393397 & 0.196698 \tabularnewline
132 & 0.79227 & 0.41546 & 0.20773 \tabularnewline
133 & 0.767825 & 0.46435 & 0.232175 \tabularnewline
134 & 0.743343 & 0.513314 & 0.256657 \tabularnewline
135 & 0.717839 & 0.564321 & 0.282161 \tabularnewline
136 & 0.71932 & 0.561361 & 0.28068 \tabularnewline
137 & 0.697572 & 0.604855 & 0.302428 \tabularnewline
138 & 0.699929 & 0.600143 & 0.300071 \tabularnewline
139 & 0.800481 & 0.399038 & 0.199519 \tabularnewline
140 & 0.778331 & 0.443337 & 0.221669 \tabularnewline
141 & 0.768004 & 0.463992 & 0.231996 \tabularnewline
142 & 0.909885 & 0.18023 & 0.0901149 \tabularnewline
143 & 0.90253 & 0.19494 & 0.09747 \tabularnewline
144 & 0.887752 & 0.224496 & 0.112248 \tabularnewline
145 & 0.874803 & 0.250394 & 0.125197 \tabularnewline
146 & 0.862569 & 0.274862 & 0.137431 \tabularnewline
147 & 0.843058 & 0.313884 & 0.156942 \tabularnewline
148 & 0.821668 & 0.356664 & 0.178332 \tabularnewline
149 & 0.807 & 0.385999 & 0.193 \tabularnewline
150 & 0.796652 & 0.406697 & 0.203348 \tabularnewline
151 & 0.771627 & 0.456747 & 0.228373 \tabularnewline
152 & 0.746761 & 0.506478 & 0.253239 \tabularnewline
153 & 0.72464 & 0.550721 & 0.27536 \tabularnewline
154 & 0.69853 & 0.60294 & 0.30147 \tabularnewline
155 & 0.69259 & 0.614819 & 0.30741 \tabularnewline
156 & 0.661107 & 0.677786 & 0.338893 \tabularnewline
157 & 0.632399 & 0.735201 & 0.367601 \tabularnewline
158 & 0.622472 & 0.755057 & 0.377528 \tabularnewline
159 & 0.589483 & 0.821034 & 0.410517 \tabularnewline
160 & 0.555377 & 0.889247 & 0.444623 \tabularnewline
161 & 0.562362 & 0.875276 & 0.437638 \tabularnewline
162 & 0.549363 & 0.901275 & 0.450637 \tabularnewline
163 & 0.540544 & 0.918913 & 0.459456 \tabularnewline
164 & 0.509087 & 0.981825 & 0.490913 \tabularnewline
165 & 0.517285 & 0.96543 & 0.482715 \tabularnewline
166 & 0.65235 & 0.6953 & 0.34765 \tabularnewline
167 & 0.62016 & 0.759679 & 0.37984 \tabularnewline
168 & 0.58612 & 0.827761 & 0.41388 \tabularnewline
169 & 0.550935 & 0.898129 & 0.449065 \tabularnewline
170 & 0.545104 & 0.909792 & 0.454896 \tabularnewline
171 & 0.512259 & 0.975481 & 0.487741 \tabularnewline
172 & 0.534352 & 0.931296 & 0.465648 \tabularnewline
173 & 0.498353 & 0.996706 & 0.501647 \tabularnewline
174 & 0.502732 & 0.994537 & 0.497268 \tabularnewline
175 & 0.467526 & 0.935052 & 0.532474 \tabularnewline
176 & 0.432236 & 0.864472 & 0.567764 \tabularnewline
177 & 0.399023 & 0.798046 & 0.600977 \tabularnewline
178 & 0.386736 & 0.773472 & 0.613264 \tabularnewline
179 & 0.358957 & 0.717913 & 0.641043 \tabularnewline
180 & 0.337919 & 0.675837 & 0.662081 \tabularnewline
181 & 0.497471 & 0.994943 & 0.502529 \tabularnewline
182 & 0.518239 & 0.963523 & 0.481761 \tabularnewline
183 & 0.572609 & 0.854782 & 0.427391 \tabularnewline
184 & 0.540572 & 0.918856 & 0.459428 \tabularnewline
185 & 0.51079 & 0.978421 & 0.48921 \tabularnewline
186 & 0.476927 & 0.953854 & 0.523073 \tabularnewline
187 & 0.440152 & 0.880304 & 0.559848 \tabularnewline
188 & 0.427439 & 0.854878 & 0.572561 \tabularnewline
189 & 0.41954 & 0.839081 & 0.58046 \tabularnewline
190 & 0.463881 & 0.927763 & 0.536119 \tabularnewline
191 & 0.436741 & 0.873481 & 0.563259 \tabularnewline
192 & 0.399622 & 0.799243 & 0.600378 \tabularnewline
193 & 0.365748 & 0.731496 & 0.634252 \tabularnewline
194 & 0.339553 & 0.679107 & 0.660447 \tabularnewline
195 & 0.307477 & 0.614953 & 0.692523 \tabularnewline
196 & 0.317728 & 0.635455 & 0.682272 \tabularnewline
197 & 0.287925 & 0.575851 & 0.712075 \tabularnewline
198 & 0.256985 & 0.513971 & 0.743015 \tabularnewline
199 & 0.245237 & 0.490475 & 0.754763 \tabularnewline
200 & 0.248761 & 0.497521 & 0.751239 \tabularnewline
201 & 0.221018 & 0.442036 & 0.778982 \tabularnewline
202 & 0.207165 & 0.41433 & 0.792835 \tabularnewline
203 & 0.185892 & 0.371784 & 0.814108 \tabularnewline
204 & 0.161652 & 0.323304 & 0.838348 \tabularnewline
205 & 0.147619 & 0.295239 & 0.852381 \tabularnewline
206 & 0.168392 & 0.336784 & 0.831608 \tabularnewline
207 & 0.16474 & 0.32948 & 0.83526 \tabularnewline
208 & 0.205088 & 0.410176 & 0.794912 \tabularnewline
209 & 0.179769 & 0.359537 & 0.820231 \tabularnewline
210 & 0.266014 & 0.532029 & 0.733986 \tabularnewline
211 & 0.513761 & 0.972478 & 0.486239 \tabularnewline
212 & 0.492861 & 0.985722 & 0.507139 \tabularnewline
213 & 0.533476 & 0.933048 & 0.466524 \tabularnewline
214 & 0.492804 & 0.985608 & 0.507196 \tabularnewline
215 & 0.702833 & 0.594335 & 0.297167 \tabularnewline
216 & 0.67604 & 0.64792 & 0.32396 \tabularnewline
217 & 0.700582 & 0.598836 & 0.299418 \tabularnewline
218 & 0.667312 & 0.665375 & 0.332688 \tabularnewline
219 & 0.696874 & 0.606251 & 0.303126 \tabularnewline
220 & 0.702612 & 0.594777 & 0.297388 \tabularnewline
221 & 0.66264 & 0.674719 & 0.33736 \tabularnewline
222 & 0.625181 & 0.749638 & 0.374819 \tabularnewline
223 & 0.639103 & 0.721794 & 0.360897 \tabularnewline
224 & 0.6071 & 0.7858 & 0.3929 \tabularnewline
225 & 0.567452 & 0.865096 & 0.432548 \tabularnewline
226 & 0.530963 & 0.938075 & 0.469037 \tabularnewline
227 & 0.545832 & 0.908336 & 0.454168 \tabularnewline
228 & 0.505808 & 0.988384 & 0.494192 \tabularnewline
229 & 0.458332 & 0.916664 & 0.541668 \tabularnewline
230 & 0.498735 & 0.997469 & 0.501265 \tabularnewline
231 & 0.451243 & 0.902486 & 0.548757 \tabularnewline
232 & 0.516343 & 0.967314 & 0.483657 \tabularnewline
233 & 0.491194 & 0.982388 & 0.508806 \tabularnewline
234 & 0.502301 & 0.995399 & 0.497699 \tabularnewline
235 & 0.469362 & 0.938725 & 0.530638 \tabularnewline
236 & 0.672484 & 0.655032 & 0.327516 \tabularnewline
237 & 0.624825 & 0.750351 & 0.375175 \tabularnewline
238 & 0.712453 & 0.575094 & 0.287547 \tabularnewline
239 & 0.674128 & 0.651744 & 0.325872 \tabularnewline
240 & 0.628915 & 0.74217 & 0.371085 \tabularnewline
241 & 0.625486 & 0.749028 & 0.374514 \tabularnewline
242 & 0.611309 & 0.777382 & 0.388691 \tabularnewline
243 & 0.640362 & 0.719276 & 0.359638 \tabularnewline
244 & 0.585861 & 0.828278 & 0.414139 \tabularnewline
245 & 0.642504 & 0.714992 & 0.357496 \tabularnewline
246 & 0.688207 & 0.623587 & 0.311793 \tabularnewline
247 & 0.631837 & 0.736327 & 0.368163 \tabularnewline
248 & 0.651527 & 0.696946 & 0.348473 \tabularnewline
249 & 0.615271 & 0.769458 & 0.384729 \tabularnewline
250 & 0.57887 & 0.84226 & 0.42113 \tabularnewline
251 & 0.519363 & 0.961274 & 0.480637 \tabularnewline
252 & 0.452255 & 0.904511 & 0.547745 \tabularnewline
253 & 0.388886 & 0.777771 & 0.611114 \tabularnewline
254 & 0.325021 & 0.650042 & 0.674979 \tabularnewline
255 & 0.424113 & 0.848226 & 0.575887 \tabularnewline
256 & 0.358606 & 0.717212 & 0.641394 \tabularnewline
257 & 0.293124 & 0.586248 & 0.706876 \tabularnewline
258 & 0.334016 & 0.668032 & 0.665984 \tabularnewline
259 & 0.2697 & 0.539401 & 0.7303 \tabularnewline
260 & 0.559747 & 0.880506 & 0.440253 \tabularnewline
261 & 0.478215 & 0.95643 & 0.521785 \tabularnewline
262 & 0.551442 & 0.897116 & 0.448558 \tabularnewline
263 & 0.470269 & 0.940539 & 0.529731 \tabularnewline
264 & 0.62201 & 0.755981 & 0.37799 \tabularnewline
265 & 0.509947 & 0.980106 & 0.490053 \tabularnewline
266 & 0.430827 & 0.861655 & 0.569173 \tabularnewline
267 & 0.429933 & 0.859866 & 0.570067 \tabularnewline
268 & 0.299758 & 0.599517 & 0.700242 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268061&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]11[/C][C]0.767775[/C][C]0.464449[/C][C]0.232225[/C][/ROW]
[ROW][C]12[/C][C]0.718416[/C][C]0.563168[/C][C]0.281584[/C][/ROW]
[ROW][C]13[/C][C]0.594946[/C][C]0.810107[/C][C]0.405054[/C][/ROW]
[ROW][C]14[/C][C]0.477843[/C][C]0.955686[/C][C]0.522157[/C][/ROW]
[ROW][C]15[/C][C]0.864639[/C][C]0.270722[/C][C]0.135361[/C][/ROW]
[ROW][C]16[/C][C]0.801991[/C][C]0.396018[/C][C]0.198009[/C][/ROW]
[ROW][C]17[/C][C]0.784109[/C][C]0.431782[/C][C]0.215891[/C][/ROW]
[ROW][C]18[/C][C]0.71075[/C][C]0.578501[/C][C]0.28925[/C][/ROW]
[ROW][C]19[/C][C]0.693527[/C][C]0.612946[/C][C]0.306473[/C][/ROW]
[ROW][C]20[/C][C]0.679845[/C][C]0.640311[/C][C]0.320155[/C][/ROW]
[ROW][C]21[/C][C]0.64069[/C][C]0.718619[/C][C]0.35931[/C][/ROW]
[ROW][C]22[/C][C]0.568543[/C][C]0.862913[/C][C]0.431457[/C][/ROW]
[ROW][C]23[/C][C]0.507886[/C][C]0.984229[/C][C]0.492114[/C][/ROW]
[ROW][C]24[/C][C]0.682705[/C][C]0.634589[/C][C]0.317295[/C][/ROW]
[ROW][C]25[/C][C]0.617798[/C][C]0.764404[/C][C]0.382202[/C][/ROW]
[ROW][C]26[/C][C]0.550752[/C][C]0.898496[/C][C]0.449248[/C][/ROW]
[ROW][C]27[/C][C]0.482445[/C][C]0.96489[/C][C]0.517555[/C][/ROW]
[ROW][C]28[/C][C]0.442276[/C][C]0.884551[/C][C]0.557724[/C][/ROW]
[ROW][C]29[/C][C]0.377967[/C][C]0.755934[/C][C]0.622033[/C][/ROW]
[ROW][C]30[/C][C]0.355584[/C][C]0.711168[/C][C]0.644416[/C][/ROW]
[ROW][C]31[/C][C]0.315187[/C][C]0.630374[/C][C]0.684813[/C][/ROW]
[ROW][C]32[/C][C]0.266397[/C][C]0.532794[/C][C]0.733603[/C][/ROW]
[ROW][C]33[/C][C]0.219926[/C][C]0.439852[/C][C]0.780074[/C][/ROW]
[ROW][C]34[/C][C]0.191815[/C][C]0.383631[/C][C]0.808185[/C][/ROW]
[ROW][C]35[/C][C]0.165924[/C][C]0.331848[/C][C]0.834076[/C][/ROW]
[ROW][C]36[/C][C]0.275889[/C][C]0.551779[/C][C]0.724111[/C][/ROW]
[ROW][C]37[/C][C]0.621281[/C][C]0.757438[/C][C]0.378719[/C][/ROW]
[ROW][C]38[/C][C]0.613668[/C][C]0.772664[/C][C]0.386332[/C][/ROW]
[ROW][C]39[/C][C]0.563059[/C][C]0.873881[/C][C]0.436941[/C][/ROW]
[ROW][C]40[/C][C]0.596196[/C][C]0.807608[/C][C]0.403804[/C][/ROW]
[ROW][C]41[/C][C]0.547616[/C][C]0.904768[/C][C]0.452384[/C][/ROW]
[ROW][C]42[/C][C]0.526145[/C][C]0.947711[/C][C]0.473855[/C][/ROW]
[ROW][C]43[/C][C]0.503914[/C][C]0.992172[/C][C]0.496086[/C][/ROW]
[ROW][C]44[/C][C]0.511992[/C][C]0.976016[/C][C]0.488008[/C][/ROW]
[ROW][C]45[/C][C]0.514026[/C][C]0.971948[/C][C]0.485974[/C][/ROW]
[ROW][C]46[/C][C]0.750314[/C][C]0.499371[/C][C]0.249686[/C][/ROW]
[ROW][C]47[/C][C]0.722412[/C][C]0.555176[/C][C]0.277588[/C][/ROW]
[ROW][C]48[/C][C]0.6804[/C][C]0.6392[/C][C]0.3196[/C][/ROW]
[ROW][C]49[/C][C]0.863379[/C][C]0.273242[/C][C]0.136621[/C][/ROW]
[ROW][C]50[/C][C]0.839863[/C][C]0.320275[/C][C]0.160137[/C][/ROW]
[ROW][C]51[/C][C]0.810856[/C][C]0.378289[/C][C]0.189144[/C][/ROW]
[ROW][C]52[/C][C]0.781983[/C][C]0.436033[/C][C]0.218017[/C][/ROW]
[ROW][C]53[/C][C]0.752684[/C][C]0.494631[/C][C]0.247316[/C][/ROW]
[ROW][C]54[/C][C]0.783092[/C][C]0.433817[/C][C]0.216908[/C][/ROW]
[ROW][C]55[/C][C]0.817508[/C][C]0.364983[/C][C]0.182492[/C][/ROW]
[ROW][C]56[/C][C]0.791922[/C][C]0.416157[/C][C]0.208078[/C][/ROW]
[ROW][C]57[/C][C]0.762463[/C][C]0.475073[/C][C]0.237537[/C][/ROW]
[ROW][C]58[/C][C]0.732452[/C][C]0.535096[/C][C]0.267548[/C][/ROW]
[ROW][C]59[/C][C]0.73369[/C][C]0.532619[/C][C]0.26631[/C][/ROW]
[ROW][C]60[/C][C]0.71707[/C][C]0.56586[/C][C]0.28293[/C][/ROW]
[ROW][C]61[/C][C]0.679432[/C][C]0.641135[/C][C]0.320568[/C][/ROW]
[ROW][C]62[/C][C]0.715776[/C][C]0.568447[/C][C]0.284224[/C][/ROW]
[ROW][C]63[/C][C]0.78616[/C][C]0.42768[/C][C]0.21384[/C][/ROW]
[ROW][C]64[/C][C]0.782524[/C][C]0.434951[/C][C]0.217476[/C][/ROW]
[ROW][C]65[/C][C]0.78168[/C][C]0.43664[/C][C]0.21832[/C][/ROW]
[ROW][C]66[/C][C]0.770632[/C][C]0.458736[/C][C]0.229368[/C][/ROW]
[ROW][C]67[/C][C]0.740376[/C][C]0.519248[/C][C]0.259624[/C][/ROW]
[ROW][C]68[/C][C]0.706799[/C][C]0.586401[/C][C]0.293201[/C][/ROW]
[ROW][C]69[/C][C]0.672168[/C][C]0.655665[/C][C]0.327832[/C][/ROW]
[ROW][C]70[/C][C]0.645339[/C][C]0.709322[/C][C]0.354661[/C][/ROW]
[ROW][C]71[/C][C]0.662398[/C][C]0.675203[/C][C]0.337602[/C][/ROW]
[ROW][C]72[/C][C]0.626133[/C][C]0.747734[/C][C]0.373867[/C][/ROW]
[ROW][C]73[/C][C]0.641279[/C][C]0.717443[/C][C]0.358721[/C][/ROW]
[ROW][C]74[/C][C]0.745581[/C][C]0.508838[/C][C]0.254419[/C][/ROW]
[ROW][C]75[/C][C]0.849528[/C][C]0.300945[/C][C]0.150472[/C][/ROW]
[ROW][C]76[/C][C]0.830784[/C][C]0.338433[/C][C]0.169216[/C][/ROW]
[ROW][C]77[/C][C]0.808582[/C][C]0.382837[/C][C]0.191418[/C][/ROW]
[ROW][C]78[/C][C]0.797302[/C][C]0.405396[/C][C]0.202698[/C][/ROW]
[ROW][C]79[/C][C]0.7751[/C][C]0.449799[/C][C]0.2249[/C][/ROW]
[ROW][C]80[/C][C]0.752239[/C][C]0.495521[/C][C]0.247761[/C][/ROW]
[ROW][C]81[/C][C]0.730705[/C][C]0.53859[/C][C]0.269295[/C][/ROW]
[ROW][C]82[/C][C]0.698873[/C][C]0.602254[/C][C]0.301127[/C][/ROW]
[ROW][C]83[/C][C]0.671243[/C][C]0.657515[/C][C]0.328757[/C][/ROW]
[ROW][C]84[/C][C]0.645817[/C][C]0.708365[/C][C]0.354183[/C][/ROW]
[ROW][C]85[/C][C]0.619722[/C][C]0.760556[/C][C]0.380278[/C][/ROW]
[ROW][C]86[/C][C]0.607704[/C][C]0.784592[/C][C]0.392296[/C][/ROW]
[ROW][C]87[/C][C]0.584127[/C][C]0.831745[/C][C]0.415873[/C][/ROW]
[ROW][C]88[/C][C]0.558913[/C][C]0.882174[/C][C]0.441087[/C][/ROW]
[ROW][C]89[/C][C]0.652701[/C][C]0.694599[/C][C]0.347299[/C][/ROW]
[ROW][C]90[/C][C]0.641019[/C][C]0.717962[/C][C]0.358981[/C][/ROW]
[ROW][C]91[/C][C]0.632209[/C][C]0.735581[/C][C]0.367791[/C][/ROW]
[ROW][C]92[/C][C]0.617507[/C][C]0.764986[/C][C]0.382493[/C][/ROW]
[ROW][C]93[/C][C]0.589888[/C][C]0.820224[/C][C]0.410112[/C][/ROW]
[ROW][C]94[/C][C]0.642034[/C][C]0.715931[/C][C]0.357966[/C][/ROW]
[ROW][C]95[/C][C]0.610571[/C][C]0.778857[/C][C]0.389429[/C][/ROW]
[ROW][C]96[/C][C]0.588522[/C][C]0.822956[/C][C]0.411478[/C][/ROW]
[ROW][C]97[/C][C]0.563147[/C][C]0.873705[/C][C]0.436853[/C][/ROW]
[ROW][C]98[/C][C]0.529199[/C][C]0.941602[/C][C]0.470801[/C][/ROW]
[ROW][C]99[/C][C]0.522592[/C][C]0.954817[/C][C]0.477408[/C][/ROW]
[ROW][C]100[/C][C]0.644252[/C][C]0.711496[/C][C]0.355748[/C][/ROW]
[ROW][C]101[/C][C]0.724002[/C][C]0.551996[/C][C]0.275998[/C][/ROW]
[ROW][C]102[/C][C]0.705958[/C][C]0.588085[/C][C]0.294042[/C][/ROW]
[ROW][C]103[/C][C]0.681604[/C][C]0.636792[/C][C]0.318396[/C][/ROW]
[ROW][C]104[/C][C]0.679952[/C][C]0.640095[/C][C]0.320048[/C][/ROW]
[ROW][C]105[/C][C]0.691601[/C][C]0.616798[/C][C]0.308399[/C][/ROW]
[ROW][C]106[/C][C]0.682013[/C][C]0.635975[/C][C]0.317987[/C][/ROW]
[ROW][C]107[/C][C]0.661654[/C][C]0.676693[/C][C]0.338346[/C][/ROW]
[ROW][C]108[/C][C]0.717399[/C][C]0.565202[/C][C]0.282601[/C][/ROW]
[ROW][C]109[/C][C]0.686456[/C][C]0.627087[/C][C]0.313544[/C][/ROW]
[ROW][C]110[/C][C]0.688622[/C][C]0.622756[/C][C]0.311378[/C][/ROW]
[ROW][C]111[/C][C]0.709537[/C][C]0.580926[/C][C]0.290463[/C][/ROW]
[ROW][C]112[/C][C]0.679973[/C][C]0.640054[/C][C]0.320027[/C][/ROW]
[ROW][C]113[/C][C]0.860064[/C][C]0.279872[/C][C]0.139936[/C][/ROW]
[ROW][C]114[/C][C]0.849632[/C][C]0.300736[/C][C]0.150368[/C][/ROW]
[ROW][C]115[/C][C]0.850217[/C][C]0.299566[/C][C]0.149783[/C][/ROW]
[ROW][C]116[/C][C]0.840467[/C][C]0.319067[/C][C]0.159533[/C][/ROW]
[ROW][C]117[/C][C]0.823557[/C][C]0.352887[/C][C]0.176443[/C][/ROW]
[ROW][C]118[/C][C]0.81743[/C][C]0.365141[/C][C]0.18257[/C][/ROW]
[ROW][C]119[/C][C]0.797571[/C][C]0.404859[/C][C]0.202429[/C][/ROW]
[ROW][C]120[/C][C]0.773563[/C][C]0.452873[/C][C]0.226437[/C][/ROW]
[ROW][C]121[/C][C]0.747238[/C][C]0.505525[/C][C]0.252762[/C][/ROW]
[ROW][C]122[/C][C]0.726173[/C][C]0.547655[/C][C]0.273827[/C][/ROW]
[ROW][C]123[/C][C]0.705061[/C][C]0.589878[/C][C]0.294939[/C][/ROW]
[ROW][C]124[/C][C]0.748296[/C][C]0.503408[/C][C]0.251704[/C][/ROW]
[ROW][C]125[/C][C]0.738093[/C][C]0.523815[/C][C]0.261907[/C][/ROW]
[ROW][C]126[/C][C]0.708872[/C][C]0.582256[/C][C]0.291128[/C][/ROW]
[ROW][C]127[/C][C]0.734281[/C][C]0.531437[/C][C]0.265719[/C][/ROW]
[ROW][C]128[/C][C]0.723434[/C][C]0.553132[/C][C]0.276566[/C][/ROW]
[ROW][C]129[/C][C]0.82181[/C][C]0.356379[/C][C]0.17819[/C][/ROW]
[ROW][C]130[/C][C]0.800799[/C][C]0.398402[/C][C]0.199201[/C][/ROW]
[ROW][C]131[/C][C]0.803302[/C][C]0.393397[/C][C]0.196698[/C][/ROW]
[ROW][C]132[/C][C]0.79227[/C][C]0.41546[/C][C]0.20773[/C][/ROW]
[ROW][C]133[/C][C]0.767825[/C][C]0.46435[/C][C]0.232175[/C][/ROW]
[ROW][C]134[/C][C]0.743343[/C][C]0.513314[/C][C]0.256657[/C][/ROW]
[ROW][C]135[/C][C]0.717839[/C][C]0.564321[/C][C]0.282161[/C][/ROW]
[ROW][C]136[/C][C]0.71932[/C][C]0.561361[/C][C]0.28068[/C][/ROW]
[ROW][C]137[/C][C]0.697572[/C][C]0.604855[/C][C]0.302428[/C][/ROW]
[ROW][C]138[/C][C]0.699929[/C][C]0.600143[/C][C]0.300071[/C][/ROW]
[ROW][C]139[/C][C]0.800481[/C][C]0.399038[/C][C]0.199519[/C][/ROW]
[ROW][C]140[/C][C]0.778331[/C][C]0.443337[/C][C]0.221669[/C][/ROW]
[ROW][C]141[/C][C]0.768004[/C][C]0.463992[/C][C]0.231996[/C][/ROW]
[ROW][C]142[/C][C]0.909885[/C][C]0.18023[/C][C]0.0901149[/C][/ROW]
[ROW][C]143[/C][C]0.90253[/C][C]0.19494[/C][C]0.09747[/C][/ROW]
[ROW][C]144[/C][C]0.887752[/C][C]0.224496[/C][C]0.112248[/C][/ROW]
[ROW][C]145[/C][C]0.874803[/C][C]0.250394[/C][C]0.125197[/C][/ROW]
[ROW][C]146[/C][C]0.862569[/C][C]0.274862[/C][C]0.137431[/C][/ROW]
[ROW][C]147[/C][C]0.843058[/C][C]0.313884[/C][C]0.156942[/C][/ROW]
[ROW][C]148[/C][C]0.821668[/C][C]0.356664[/C][C]0.178332[/C][/ROW]
[ROW][C]149[/C][C]0.807[/C][C]0.385999[/C][C]0.193[/C][/ROW]
[ROW][C]150[/C][C]0.796652[/C][C]0.406697[/C][C]0.203348[/C][/ROW]
[ROW][C]151[/C][C]0.771627[/C][C]0.456747[/C][C]0.228373[/C][/ROW]
[ROW][C]152[/C][C]0.746761[/C][C]0.506478[/C][C]0.253239[/C][/ROW]
[ROW][C]153[/C][C]0.72464[/C][C]0.550721[/C][C]0.27536[/C][/ROW]
[ROW][C]154[/C][C]0.69853[/C][C]0.60294[/C][C]0.30147[/C][/ROW]
[ROW][C]155[/C][C]0.69259[/C][C]0.614819[/C][C]0.30741[/C][/ROW]
[ROW][C]156[/C][C]0.661107[/C][C]0.677786[/C][C]0.338893[/C][/ROW]
[ROW][C]157[/C][C]0.632399[/C][C]0.735201[/C][C]0.367601[/C][/ROW]
[ROW][C]158[/C][C]0.622472[/C][C]0.755057[/C][C]0.377528[/C][/ROW]
[ROW][C]159[/C][C]0.589483[/C][C]0.821034[/C][C]0.410517[/C][/ROW]
[ROW][C]160[/C][C]0.555377[/C][C]0.889247[/C][C]0.444623[/C][/ROW]
[ROW][C]161[/C][C]0.562362[/C][C]0.875276[/C][C]0.437638[/C][/ROW]
[ROW][C]162[/C][C]0.549363[/C][C]0.901275[/C][C]0.450637[/C][/ROW]
[ROW][C]163[/C][C]0.540544[/C][C]0.918913[/C][C]0.459456[/C][/ROW]
[ROW][C]164[/C][C]0.509087[/C][C]0.981825[/C][C]0.490913[/C][/ROW]
[ROW][C]165[/C][C]0.517285[/C][C]0.96543[/C][C]0.482715[/C][/ROW]
[ROW][C]166[/C][C]0.65235[/C][C]0.6953[/C][C]0.34765[/C][/ROW]
[ROW][C]167[/C][C]0.62016[/C][C]0.759679[/C][C]0.37984[/C][/ROW]
[ROW][C]168[/C][C]0.58612[/C][C]0.827761[/C][C]0.41388[/C][/ROW]
[ROW][C]169[/C][C]0.550935[/C][C]0.898129[/C][C]0.449065[/C][/ROW]
[ROW][C]170[/C][C]0.545104[/C][C]0.909792[/C][C]0.454896[/C][/ROW]
[ROW][C]171[/C][C]0.512259[/C][C]0.975481[/C][C]0.487741[/C][/ROW]
[ROW][C]172[/C][C]0.534352[/C][C]0.931296[/C][C]0.465648[/C][/ROW]
[ROW][C]173[/C][C]0.498353[/C][C]0.996706[/C][C]0.501647[/C][/ROW]
[ROW][C]174[/C][C]0.502732[/C][C]0.994537[/C][C]0.497268[/C][/ROW]
[ROW][C]175[/C][C]0.467526[/C][C]0.935052[/C][C]0.532474[/C][/ROW]
[ROW][C]176[/C][C]0.432236[/C][C]0.864472[/C][C]0.567764[/C][/ROW]
[ROW][C]177[/C][C]0.399023[/C][C]0.798046[/C][C]0.600977[/C][/ROW]
[ROW][C]178[/C][C]0.386736[/C][C]0.773472[/C][C]0.613264[/C][/ROW]
[ROW][C]179[/C][C]0.358957[/C][C]0.717913[/C][C]0.641043[/C][/ROW]
[ROW][C]180[/C][C]0.337919[/C][C]0.675837[/C][C]0.662081[/C][/ROW]
[ROW][C]181[/C][C]0.497471[/C][C]0.994943[/C][C]0.502529[/C][/ROW]
[ROW][C]182[/C][C]0.518239[/C][C]0.963523[/C][C]0.481761[/C][/ROW]
[ROW][C]183[/C][C]0.572609[/C][C]0.854782[/C][C]0.427391[/C][/ROW]
[ROW][C]184[/C][C]0.540572[/C][C]0.918856[/C][C]0.459428[/C][/ROW]
[ROW][C]185[/C][C]0.51079[/C][C]0.978421[/C][C]0.48921[/C][/ROW]
[ROW][C]186[/C][C]0.476927[/C][C]0.953854[/C][C]0.523073[/C][/ROW]
[ROW][C]187[/C][C]0.440152[/C][C]0.880304[/C][C]0.559848[/C][/ROW]
[ROW][C]188[/C][C]0.427439[/C][C]0.854878[/C][C]0.572561[/C][/ROW]
[ROW][C]189[/C][C]0.41954[/C][C]0.839081[/C][C]0.58046[/C][/ROW]
[ROW][C]190[/C][C]0.463881[/C][C]0.927763[/C][C]0.536119[/C][/ROW]
[ROW][C]191[/C][C]0.436741[/C][C]0.873481[/C][C]0.563259[/C][/ROW]
[ROW][C]192[/C][C]0.399622[/C][C]0.799243[/C][C]0.600378[/C][/ROW]
[ROW][C]193[/C][C]0.365748[/C][C]0.731496[/C][C]0.634252[/C][/ROW]
[ROW][C]194[/C][C]0.339553[/C][C]0.679107[/C][C]0.660447[/C][/ROW]
[ROW][C]195[/C][C]0.307477[/C][C]0.614953[/C][C]0.692523[/C][/ROW]
[ROW][C]196[/C][C]0.317728[/C][C]0.635455[/C][C]0.682272[/C][/ROW]
[ROW][C]197[/C][C]0.287925[/C][C]0.575851[/C][C]0.712075[/C][/ROW]
[ROW][C]198[/C][C]0.256985[/C][C]0.513971[/C][C]0.743015[/C][/ROW]
[ROW][C]199[/C][C]0.245237[/C][C]0.490475[/C][C]0.754763[/C][/ROW]
[ROW][C]200[/C][C]0.248761[/C][C]0.497521[/C][C]0.751239[/C][/ROW]
[ROW][C]201[/C][C]0.221018[/C][C]0.442036[/C][C]0.778982[/C][/ROW]
[ROW][C]202[/C][C]0.207165[/C][C]0.41433[/C][C]0.792835[/C][/ROW]
[ROW][C]203[/C][C]0.185892[/C][C]0.371784[/C][C]0.814108[/C][/ROW]
[ROW][C]204[/C][C]0.161652[/C][C]0.323304[/C][C]0.838348[/C][/ROW]
[ROW][C]205[/C][C]0.147619[/C][C]0.295239[/C][C]0.852381[/C][/ROW]
[ROW][C]206[/C][C]0.168392[/C][C]0.336784[/C][C]0.831608[/C][/ROW]
[ROW][C]207[/C][C]0.16474[/C][C]0.32948[/C][C]0.83526[/C][/ROW]
[ROW][C]208[/C][C]0.205088[/C][C]0.410176[/C][C]0.794912[/C][/ROW]
[ROW][C]209[/C][C]0.179769[/C][C]0.359537[/C][C]0.820231[/C][/ROW]
[ROW][C]210[/C][C]0.266014[/C][C]0.532029[/C][C]0.733986[/C][/ROW]
[ROW][C]211[/C][C]0.513761[/C][C]0.972478[/C][C]0.486239[/C][/ROW]
[ROW][C]212[/C][C]0.492861[/C][C]0.985722[/C][C]0.507139[/C][/ROW]
[ROW][C]213[/C][C]0.533476[/C][C]0.933048[/C][C]0.466524[/C][/ROW]
[ROW][C]214[/C][C]0.492804[/C][C]0.985608[/C][C]0.507196[/C][/ROW]
[ROW][C]215[/C][C]0.702833[/C][C]0.594335[/C][C]0.297167[/C][/ROW]
[ROW][C]216[/C][C]0.67604[/C][C]0.64792[/C][C]0.32396[/C][/ROW]
[ROW][C]217[/C][C]0.700582[/C][C]0.598836[/C][C]0.299418[/C][/ROW]
[ROW][C]218[/C][C]0.667312[/C][C]0.665375[/C][C]0.332688[/C][/ROW]
[ROW][C]219[/C][C]0.696874[/C][C]0.606251[/C][C]0.303126[/C][/ROW]
[ROW][C]220[/C][C]0.702612[/C][C]0.594777[/C][C]0.297388[/C][/ROW]
[ROW][C]221[/C][C]0.66264[/C][C]0.674719[/C][C]0.33736[/C][/ROW]
[ROW][C]222[/C][C]0.625181[/C][C]0.749638[/C][C]0.374819[/C][/ROW]
[ROW][C]223[/C][C]0.639103[/C][C]0.721794[/C][C]0.360897[/C][/ROW]
[ROW][C]224[/C][C]0.6071[/C][C]0.7858[/C][C]0.3929[/C][/ROW]
[ROW][C]225[/C][C]0.567452[/C][C]0.865096[/C][C]0.432548[/C][/ROW]
[ROW][C]226[/C][C]0.530963[/C][C]0.938075[/C][C]0.469037[/C][/ROW]
[ROW][C]227[/C][C]0.545832[/C][C]0.908336[/C][C]0.454168[/C][/ROW]
[ROW][C]228[/C][C]0.505808[/C][C]0.988384[/C][C]0.494192[/C][/ROW]
[ROW][C]229[/C][C]0.458332[/C][C]0.916664[/C][C]0.541668[/C][/ROW]
[ROW][C]230[/C][C]0.498735[/C][C]0.997469[/C][C]0.501265[/C][/ROW]
[ROW][C]231[/C][C]0.451243[/C][C]0.902486[/C][C]0.548757[/C][/ROW]
[ROW][C]232[/C][C]0.516343[/C][C]0.967314[/C][C]0.483657[/C][/ROW]
[ROW][C]233[/C][C]0.491194[/C][C]0.982388[/C][C]0.508806[/C][/ROW]
[ROW][C]234[/C][C]0.502301[/C][C]0.995399[/C][C]0.497699[/C][/ROW]
[ROW][C]235[/C][C]0.469362[/C][C]0.938725[/C][C]0.530638[/C][/ROW]
[ROW][C]236[/C][C]0.672484[/C][C]0.655032[/C][C]0.327516[/C][/ROW]
[ROW][C]237[/C][C]0.624825[/C][C]0.750351[/C][C]0.375175[/C][/ROW]
[ROW][C]238[/C][C]0.712453[/C][C]0.575094[/C][C]0.287547[/C][/ROW]
[ROW][C]239[/C][C]0.674128[/C][C]0.651744[/C][C]0.325872[/C][/ROW]
[ROW][C]240[/C][C]0.628915[/C][C]0.74217[/C][C]0.371085[/C][/ROW]
[ROW][C]241[/C][C]0.625486[/C][C]0.749028[/C][C]0.374514[/C][/ROW]
[ROW][C]242[/C][C]0.611309[/C][C]0.777382[/C][C]0.388691[/C][/ROW]
[ROW][C]243[/C][C]0.640362[/C][C]0.719276[/C][C]0.359638[/C][/ROW]
[ROW][C]244[/C][C]0.585861[/C][C]0.828278[/C][C]0.414139[/C][/ROW]
[ROW][C]245[/C][C]0.642504[/C][C]0.714992[/C][C]0.357496[/C][/ROW]
[ROW][C]246[/C][C]0.688207[/C][C]0.623587[/C][C]0.311793[/C][/ROW]
[ROW][C]247[/C][C]0.631837[/C][C]0.736327[/C][C]0.368163[/C][/ROW]
[ROW][C]248[/C][C]0.651527[/C][C]0.696946[/C][C]0.348473[/C][/ROW]
[ROW][C]249[/C][C]0.615271[/C][C]0.769458[/C][C]0.384729[/C][/ROW]
[ROW][C]250[/C][C]0.57887[/C][C]0.84226[/C][C]0.42113[/C][/ROW]
[ROW][C]251[/C][C]0.519363[/C][C]0.961274[/C][C]0.480637[/C][/ROW]
[ROW][C]252[/C][C]0.452255[/C][C]0.904511[/C][C]0.547745[/C][/ROW]
[ROW][C]253[/C][C]0.388886[/C][C]0.777771[/C][C]0.611114[/C][/ROW]
[ROW][C]254[/C][C]0.325021[/C][C]0.650042[/C][C]0.674979[/C][/ROW]
[ROW][C]255[/C][C]0.424113[/C][C]0.848226[/C][C]0.575887[/C][/ROW]
[ROW][C]256[/C][C]0.358606[/C][C]0.717212[/C][C]0.641394[/C][/ROW]
[ROW][C]257[/C][C]0.293124[/C][C]0.586248[/C][C]0.706876[/C][/ROW]
[ROW][C]258[/C][C]0.334016[/C][C]0.668032[/C][C]0.665984[/C][/ROW]
[ROW][C]259[/C][C]0.2697[/C][C]0.539401[/C][C]0.7303[/C][/ROW]
[ROW][C]260[/C][C]0.559747[/C][C]0.880506[/C][C]0.440253[/C][/ROW]
[ROW][C]261[/C][C]0.478215[/C][C]0.95643[/C][C]0.521785[/C][/ROW]
[ROW][C]262[/C][C]0.551442[/C][C]0.897116[/C][C]0.448558[/C][/ROW]
[ROW][C]263[/C][C]0.470269[/C][C]0.940539[/C][C]0.529731[/C][/ROW]
[ROW][C]264[/C][C]0.62201[/C][C]0.755981[/C][C]0.37799[/C][/ROW]
[ROW][C]265[/C][C]0.509947[/C][C]0.980106[/C][C]0.490053[/C][/ROW]
[ROW][C]266[/C][C]0.430827[/C][C]0.861655[/C][C]0.569173[/C][/ROW]
[ROW][C]267[/C][C]0.429933[/C][C]0.859866[/C][C]0.570067[/C][/ROW]
[ROW][C]268[/C][C]0.299758[/C][C]0.599517[/C][C]0.700242[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268061&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268061&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.7677750.4644490.232225
120.7184160.5631680.281584
130.5949460.8101070.405054
140.4778430.9556860.522157
150.8646390.2707220.135361
160.8019910.3960180.198009
170.7841090.4317820.215891
180.710750.5785010.28925
190.6935270.6129460.306473
200.6798450.6403110.320155
210.640690.7186190.35931
220.5685430.8629130.431457
230.5078860.9842290.492114
240.6827050.6345890.317295
250.6177980.7644040.382202
260.5507520.8984960.449248
270.4824450.964890.517555
280.4422760.8845510.557724
290.3779670.7559340.622033
300.3555840.7111680.644416
310.3151870.6303740.684813
320.2663970.5327940.733603
330.2199260.4398520.780074
340.1918150.3836310.808185
350.1659240.3318480.834076
360.2758890.5517790.724111
370.6212810.7574380.378719
380.6136680.7726640.386332
390.5630590.8738810.436941
400.5961960.8076080.403804
410.5476160.9047680.452384
420.5261450.9477110.473855
430.5039140.9921720.496086
440.5119920.9760160.488008
450.5140260.9719480.485974
460.7503140.4993710.249686
470.7224120.5551760.277588
480.68040.63920.3196
490.8633790.2732420.136621
500.8398630.3202750.160137
510.8108560.3782890.189144
520.7819830.4360330.218017
530.7526840.4946310.247316
540.7830920.4338170.216908
550.8175080.3649830.182492
560.7919220.4161570.208078
570.7624630.4750730.237537
580.7324520.5350960.267548
590.733690.5326190.26631
600.717070.565860.28293
610.6794320.6411350.320568
620.7157760.5684470.284224
630.786160.427680.21384
640.7825240.4349510.217476
650.781680.436640.21832
660.7706320.4587360.229368
670.7403760.5192480.259624
680.7067990.5864010.293201
690.6721680.6556650.327832
700.6453390.7093220.354661
710.6623980.6752030.337602
720.6261330.7477340.373867
730.6412790.7174430.358721
740.7455810.5088380.254419
750.8495280.3009450.150472
760.8307840.3384330.169216
770.8085820.3828370.191418
780.7973020.4053960.202698
790.77510.4497990.2249
800.7522390.4955210.247761
810.7307050.538590.269295
820.6988730.6022540.301127
830.6712430.6575150.328757
840.6458170.7083650.354183
850.6197220.7605560.380278
860.6077040.7845920.392296
870.5841270.8317450.415873
880.5589130.8821740.441087
890.6527010.6945990.347299
900.6410190.7179620.358981
910.6322090.7355810.367791
920.6175070.7649860.382493
930.5898880.8202240.410112
940.6420340.7159310.357966
950.6105710.7788570.389429
960.5885220.8229560.411478
970.5631470.8737050.436853
980.5291990.9416020.470801
990.5225920.9548170.477408
1000.6442520.7114960.355748
1010.7240020.5519960.275998
1020.7059580.5880850.294042
1030.6816040.6367920.318396
1040.6799520.6400950.320048
1050.6916010.6167980.308399
1060.6820130.6359750.317987
1070.6616540.6766930.338346
1080.7173990.5652020.282601
1090.6864560.6270870.313544
1100.6886220.6227560.311378
1110.7095370.5809260.290463
1120.6799730.6400540.320027
1130.8600640.2798720.139936
1140.8496320.3007360.150368
1150.8502170.2995660.149783
1160.8404670.3190670.159533
1170.8235570.3528870.176443
1180.817430.3651410.18257
1190.7975710.4048590.202429
1200.7735630.4528730.226437
1210.7472380.5055250.252762
1220.7261730.5476550.273827
1230.7050610.5898780.294939
1240.7482960.5034080.251704
1250.7380930.5238150.261907
1260.7088720.5822560.291128
1270.7342810.5314370.265719
1280.7234340.5531320.276566
1290.821810.3563790.17819
1300.8007990.3984020.199201
1310.8033020.3933970.196698
1320.792270.415460.20773
1330.7678250.464350.232175
1340.7433430.5133140.256657
1350.7178390.5643210.282161
1360.719320.5613610.28068
1370.6975720.6048550.302428
1380.6999290.6001430.300071
1390.8004810.3990380.199519
1400.7783310.4433370.221669
1410.7680040.4639920.231996
1420.9098850.180230.0901149
1430.902530.194940.09747
1440.8877520.2244960.112248
1450.8748030.2503940.125197
1460.8625690.2748620.137431
1470.8430580.3138840.156942
1480.8216680.3566640.178332
1490.8070.3859990.193
1500.7966520.4066970.203348
1510.7716270.4567470.228373
1520.7467610.5064780.253239
1530.724640.5507210.27536
1540.698530.602940.30147
1550.692590.6148190.30741
1560.6611070.6777860.338893
1570.6323990.7352010.367601
1580.6224720.7550570.377528
1590.5894830.8210340.410517
1600.5553770.8892470.444623
1610.5623620.8752760.437638
1620.5493630.9012750.450637
1630.5405440.9189130.459456
1640.5090870.9818250.490913
1650.5172850.965430.482715
1660.652350.69530.34765
1670.620160.7596790.37984
1680.586120.8277610.41388
1690.5509350.8981290.449065
1700.5451040.9097920.454896
1710.5122590.9754810.487741
1720.5343520.9312960.465648
1730.4983530.9967060.501647
1740.5027320.9945370.497268
1750.4675260.9350520.532474
1760.4322360.8644720.567764
1770.3990230.7980460.600977
1780.3867360.7734720.613264
1790.3589570.7179130.641043
1800.3379190.6758370.662081
1810.4974710.9949430.502529
1820.5182390.9635230.481761
1830.5726090.8547820.427391
1840.5405720.9188560.459428
1850.510790.9784210.48921
1860.4769270.9538540.523073
1870.4401520.8803040.559848
1880.4274390.8548780.572561
1890.419540.8390810.58046
1900.4638810.9277630.536119
1910.4367410.8734810.563259
1920.3996220.7992430.600378
1930.3657480.7314960.634252
1940.3395530.6791070.660447
1950.3074770.6149530.692523
1960.3177280.6354550.682272
1970.2879250.5758510.712075
1980.2569850.5139710.743015
1990.2452370.4904750.754763
2000.2487610.4975210.751239
2010.2210180.4420360.778982
2020.2071650.414330.792835
2030.1858920.3717840.814108
2040.1616520.3233040.838348
2050.1476190.2952390.852381
2060.1683920.3367840.831608
2070.164740.329480.83526
2080.2050880.4101760.794912
2090.1797690.3595370.820231
2100.2660140.5320290.733986
2110.5137610.9724780.486239
2120.4928610.9857220.507139
2130.5334760.9330480.466524
2140.4928040.9856080.507196
2150.7028330.5943350.297167
2160.676040.647920.32396
2170.7005820.5988360.299418
2180.6673120.6653750.332688
2190.6968740.6062510.303126
2200.7026120.5947770.297388
2210.662640.6747190.33736
2220.6251810.7496380.374819
2230.6391030.7217940.360897
2240.60710.78580.3929
2250.5674520.8650960.432548
2260.5309630.9380750.469037
2270.5458320.9083360.454168
2280.5058080.9883840.494192
2290.4583320.9166640.541668
2300.4987350.9974690.501265
2310.4512430.9024860.548757
2320.5163430.9673140.483657
2330.4911940.9823880.508806
2340.5023010.9953990.497699
2350.4693620.9387250.530638
2360.6724840.6550320.327516
2370.6248250.7503510.375175
2380.7124530.5750940.287547
2390.6741280.6517440.325872
2400.6289150.742170.371085
2410.6254860.7490280.374514
2420.6113090.7773820.388691
2430.6403620.7192760.359638
2440.5858610.8282780.414139
2450.6425040.7149920.357496
2460.6882070.6235870.311793
2470.6318370.7363270.368163
2480.6515270.6969460.348473
2490.6152710.7694580.384729
2500.578870.842260.42113
2510.5193630.9612740.480637
2520.4522550.9045110.547745
2530.3888860.7777710.611114
2540.3250210.6500420.674979
2550.4241130.8482260.575887
2560.3586060.7172120.641394
2570.2931240.5862480.706876
2580.3340160.6680320.665984
2590.26970.5394010.7303
2600.5597470.8805060.440253
2610.4782150.956430.521785
2620.5514420.8971160.448558
2630.4702690.9405390.529731
2640.622010.7559810.37799
2650.5099470.9801060.490053
2660.4308270.8616550.569173
2670.4299330.8598660.570067
2680.2997580.5995170.700242






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

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 0 & 0 & OK \tabularnewline
10% type I error level & 0 & 0 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268061&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268061&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268061&T=6

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


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

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


Figures (Output of Computation)

Figure 1
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Figure 2
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Figure 3
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Figure 4
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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Input Parameters & R Code

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