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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationWed, 17 Dec 2014 14:54:55 +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/17/t14188282542n9zlp4o9q2es4q.htm/, Retrieved Thu, 16 May 2024 21:49:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270366, Retrieved Thu, 16 May 2024 21:49:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact56

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-17 14:54:55] [ce2f801bda31f4b58163e4bbe4fada83] [Current]
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Dataset

Dataseries X:
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Histogram
Boxplots 
12.9	8	7	18	12	20	4
7.4	18	18	23	20	25	9
12.2	18	20	23	20	19	4
12.8	12	9	22	14	18	5
7.4	24	19	22	25	24	4
6.7	16	12	19	15	20	4
12.6	19	16	25	20	20	9
14.8	16	17	28	21	24	8
13.3	15	9	16	15	21	11
11.1	28	28	28	28	28	4
8.2	21	20	21	11	10	4
11.4	18	16	22	22	22	6
6.4	22	22	24	22	19	4
10.6	19	17	24	27	27	8
12.0	22	12	26	24	23	4
6.3	25	18	28	23	24	4
11.3	20	20	24	24	24	11
11.9	16	12	20	21	25	4
9.3	19	16	26	20	24	4
9.6	18	16	21	19	21	6
10.0	26	21	28	25	28	6
6.4	24	15	27	16	28	4
13.8	20	17	23	24	22	8
10.8	19	17	24	21	26	5
13.8	19	17	24	22	26	4
11.7	23	18	22	25	21	9
10.9	18	15	21	23	26	4
16.1	16	20	25	20	23	7
13.4	18	13	20	21	20	10
9.9	21	21	21	22	24	4
11.5	20	12	26	25	25	4
8.3	15	6	23	23	24	7
11.7	19	13	21	19	20	12
6.1	27	6	27	27	23	4
9.0	19	19	27	21	24	7
9.7	7	12	25	19	25	5
10.8	20	14	23	25	23	8
10.3	20	13	25	16	21	5
10.4	19	12	23	24	23	4
12.7	19	17	19	24	21	9
9.3	20	19	22	18	18	7
11.8	18	10	24	28	24	4
5.9	14	10	19	15	18	4
11.4	17	11	21	17	21	4
13.0	17	11	27	18	23	4
10.8	8	10	25	26	25	4
12.3	9	7	25	18	22	7
11.3	22	22	23	22	22	4
11.8	20	12	17	19	23	7
7.9	20	18	28	17	24	4
12.7	22	20	25	26	25	4
12.3	22	9	20	21	22	4
11.6	22	16	25	26	24	4
6.7	16	14	21	21	21	8
10.9	14	11	24	12	24	4
12.1	24	20	28	20	25	4
13.3	21	17	20	20	23	4
10.1	20	14	19	24	27	4
5.7	20	8	24	24	27	7
14.3	18	16	21	22	23	12
8.0	14	11	24	21	18	4
13.3	19	10	23	20	20	4
9.3	24	15	18	23	23	4
12.5	19	15	27	19	24	5
7.6	16	10	25	24	26	15
15.9	16	10	20	21	20	5
9.2	16	18	21	16	23	10
9.1	14	10	23	17	22	9
11.1	22	22	27	23	23	8
13.0	21	16	24	20	17	4
14.5	15	10	27	19	20	5
12.2	14	7	24	18	22	4
12.3	15	16	23	18	18	9
11.4	14	16	24	21	19	4
8.8	20	16	21	20	19	10
14.6	21	22	23	17	16	4
7.3	17	13	22	20	24	7
12.6	14	5	27	25	26	4
13.0	16	10	25	17	25	7
12.6	13	8	19	17	23	5
13.2	26	16	24	24	18	4
9.9	13	8	25	21	22	4
7.7	18	16	23	22	26	4
10.5	15	14	23	18	25	4
13.4	18	15	25	22	26	4
10.9	21	9	26	20	26	4
4.3	17	21	26	21	24	6
10.3	18	7	16	21	22	10
11.8	20	17	23	20	21	7
11.2	18	18	26	18	22	4
11.4	25	16	25	25	28	4
8.6	20	16	23	23	22	7
13.2	19	14	26	21	26	4
12.6	18	15	22	20	20	8
5.6	12	8	20	21	24	11
9.9	22	22	27	20	21	6
8.8	16	5	20	22	23	14
7.7	18	13	22	15	23	5
9.0	23	22	24	24	23	4
7.3	20	18	21	22	22	8
11.4	20	15	24	21	23	9
13.6	16	11	26	17	21	4
7.9	22	19	24	23	27	4
10.7	19	19	24	22	23	5
10.3	23	21	27	23	26	4
8.3	6	4	25	16	27	5
9.6	19	17	27	18	27	4
14.2	24	10	19	25	23	4
8.5	19	13	22	18	23	7
13.5	15	15	22	14	23	10
4.9	18	11	25	20	28	4
6.4	18	20	23	19	24	5
9.6	22	13	24	18	20	4
11.6	23	18	24	22	23	4
11.1	18	20	23	21	22	4
4.35	17	15	22	14	15	6
12.7	6	4	24	5	27	4
18.1	22	9	19	25	23	8
17.85	20	18	25	21	23	5
16.6	16	12	26	11	20	4
12.6	16	17	18	20	18	17
17.1	17	12	24	9	22	4
19.1	20	16	28	15	20	4
16.1	23	17	23	23	21	8
13.35	18	14	19	21	25	4
18.4	13	13	19	9	19	7
14.7	22	20	27	24	25	4
10.6	20	16	24	16	24	4
12.6	20	15	26	20	22	5
16.2	13	10	21	15	28	7
13.6	16	16	25	18	22	4
18.9	25	21	28	22	21	4
14.1	16	15	19	21	23	7
14.5	15	16	20	21	19	11
16.15	19	19	26	21	21	7
14.75	19	9	27	20	25	4
14.8	24	19	23	24	23	4
12.45	9	7	18	15	28	4
12.65	22	23	23	24	14	4
17.35	15	14	21	18	23	4
8.6	22	10	23	24	24	4
18.4	22	16	22	24	25	6
16.1	24	12	21	15	15	8
11.6	12	10	14	19	23	23
17.75	21	7	24	20	26	4
15.25	25	20	26	26	21	8
17.65	26	9	24	26	26	6
15.6	19	14	26	18	15	4
16.35	21	12	22	23	23	4
17.65	14	10	20	13	15	7
13.6	28	19	20	16	16	4
11.7	16	16	20	19	20	4
14.35	21	11	18	22	20	4
14.75	16	15	18	21	20	4
18.25	16	14	25	11	21	10
9.9	25	11	28	23	28	6
16	21	14	23	18	19	5
18.25	22	15	20	19	21	5
16.85	9	7	22	15	22	4
14.6	20	22	27	8	27	4
13.85	19	19	24	15	20	5
18.95	24	22	23	21	17	5
15.6	22	11	20	25	26	5
14.85	22	19	22	14	21	5
11.75	12	9	21	21	24	4
18.45	17	11	24	18	21	6
15.9	18	17	26	18	25	4
17.1	10	12	24	12	22	4
16.1	22	17	18	24	17	4
19.9	24	10	17	17	14	9
10.95	18	17	23	20	23	18
18.45	18	13	21	24	28	6
15.1	23	11	21	22	24	5
15	21	19	24	15	22	4
11.35	21	21	22	22	24	11
15.95	28	24	24	26	25	4
18.1	17	13	24	17	21	10
14.6	21	16	24	23	22	6
15.4	21	13	23	19	16	8
15.4	20	15	21	21	18	8
17.6	18	15	24	23	27	6
13.35	17	11	19	19	17	8
19.1	7	7	19	18	25	4
15.35	17	13	23	16	24	4
7.6	14	13	25	23	21	9
13.4	18	12	24	13	21	9
13.9	14	8	21	18	19	5
19.1	23	7	18	23	27	4
15.25	20	17	23	21	28	4
12.9	14	9	20	23	19	15
16.1	17	18	23	16	23	10
17.35	21	17	23	17	25	9
13.15	23	17	23	20	26	7
12.15	24	18	23	18	25	9
12.6	21	12	27	20	25	6
10.35	14	14	19	19	24	4
15.4	24	22	25	26	24	7
9.6	16	19	25	9	24	4
18.2	21	21	21	23	22	7
13.6	8	10	25	9	21	4
14.85	17	16	17	13	17	15
14.75	18	11	22	27	23	4
14.1	17	15	23	22	17	9
14.9	16	12	27	12	25	4
16.25	22	21	27	18	19	4
19.25	17	22	5	6	8	28
13.6	21	20	19	17	14	4
13.6	20	15	24	22	22	4
15.65	20	9	23	22	25	4
12.75	19	15	28	23	28	5
14.6	8	14	25	19	25	4
9.85	19	11	27	20	24	4
12.65	11	9	16	17	15	12
11.9	15	18	23	18	25	5
19.2	13	12	25	24	24	4
16.6	18	11	26	20	28	6
11.2	19	14	24	18	24	6
15.25	23	10	23	23	25	5
11.9	20	18	24	27	23	4
13.2	22	11	27	25	26	4
16.35	19	14	25	24	26	4
12.4	16	16	19	12	22	10
15.85	11	11	19	16	25	7
14.35	11	8	14	16	20	4
18.15	21	16	24	24	22	4
11.15	14	13	20	23	26	7
15.65	21	12	21	24	20	4
17.75	20	17	28	24	26	4
7.65	21	23	26	26	26	12
12.35	20	14	19	19	21	5
15.6	19	10	23	28	21	8
19.3	19	16	23	23	24	6
15.2	18	11	21	21	21	17
17.1	20	16	26	19	18	4
15.6	21	19	25	23	23	5
18.4	22	17	25	23	26	4
19.05	19	12	24	20	23	5
18.55	23	17	23	18	25	5
19.1	16	11	22	20	20	6
13.1	23	19	27	28	25	4
12.85	18	12	26	21	26	4
9.5	23	8	23	25	19	4
4.5	20	17	22	18	21	6
11.85	20	13	26	24	23	8
13.6	23	17	22	28	24	10
11.7	13	7	17	9	6	4
12.4	21	23	25	22	22	5
13.35	26	18	22	26	21	4
11.4	18	13	28	28	28	4
14.9	19	17	22	18	24	4
19.9	18	13	21	23	14	16
17.75	19	13	21	22	17	4
11.2	18	8	24	15	20	7
14.6	19	16	26	24	28	4
17.6	13	14	26	12	19	4
14.05	10	13	24	12	24	14
16.1	21	19	27	20	21	5
13.35	24	15	22	25	21	5
11.85	21	15	23	24	26	5
11.95	23	8	22	23	24	5
14.75	18	14	23	18	26	7
15.15	11	7	15	20	25	19
13.2	16	11	20	22	23	16
16.85	20	17	22	20	24	4
7.85	20	19	25	25	24	4
7.7	26	17	27	28	26	7
12.6	21	12	24	25	23	9
7.85	12	12	21	14	20	5
10.95	15	18	17	16	16	14
12.35	18	16	26	24	24	4
9.95	14	15	20	13	20	16
14.9	18	20	22	19	23	10
16.65	16	16	24	18	23	5
13.4	19	12	23	16	18	6
13.95	7	10	22	8	21	4
15.7	21	28	28	27	25	4
16.85	24	19	21	23	23	4
10.95	21	18	24	20	26	5
15.35	20	19	28	20	26	4
12.2	22	8	25	26	24	4
15.1	17	17	24	23	23	5
17.75	19	16	24	24	21	4
15.2	20	18	21	21	23	4
14.6	16	12	20	15	20	5
16.65	20	17	26	22	23	8
8.1	16	13	16	25	24	15

Tables (Output of Computation)





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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270366&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270366&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270366&T=0

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


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

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






Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 16.8127 + 0.0816674AMS.I2[t] -0.0269667AMS.I3[t] -0.0590707AMS.E1[t] -0.0674165AMS.E2[t] -0.0913642AMS.E3[t] -0.0385703AMS.A[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  16.8127 +  0.0816674AMS.I2[t] -0.0269667AMS.I3[t] -0.0590707AMS.E1[t] -0.0674165AMS.E2[t] -0.0913642AMS.E3[t] -0.0385703AMS.A[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270366&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  16.8127 +  0.0816674AMS.I2[t] -0.0269667AMS.I3[t] -0.0590707AMS.E1[t] -0.0674165AMS.E2[t] -0.0913642AMS.E3[t] -0.0385703AMS.A[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270366&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270366&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
TOT[t] = + 16.8127 + 0.0816674AMS.I2[t] -0.0269667AMS.I3[t] -0.0590707AMS.E1[t] -0.0674165AMS.E2[t] -0.0913642AMS.E3[t] -0.0385703AMS.A[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)16.81272.173657.7351.89802e-139.49008e-14
AMS.I20.08166740.06655771.2270.2208510.110425
AMS.I3-0.02696670.0549487-0.49080.6239810.31199
AMS.E1-0.05907070.0815389-0.72440.4693970.234699
AMS.E2-0.06741650.0588515-1.1460.2529690.126484
AMS.E3-0.09136420.0696284-1.3120.1905410.0952707
AMS.A-0.03857030.0669035-0.57650.5647380.282369

\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) & 16.8127 & 2.17365 & 7.735 & 1.89802e-13 & 9.49008e-14 \tabularnewline
AMS.I2 & 0.0816674 & 0.0665577 & 1.227 & 0.220851 & 0.110425 \tabularnewline
AMS.I3 & -0.0269667 & 0.0549487 & -0.4908 & 0.623981 & 0.31199 \tabularnewline
AMS.E1 & -0.0590707 & 0.0815389 & -0.7244 & 0.469397 & 0.234699 \tabularnewline
AMS.E2 & -0.0674165 & 0.0588515 & -1.146 & 0.252969 & 0.126484 \tabularnewline
AMS.E3 & -0.0913642 & 0.0696284 & -1.312 & 0.190541 & 0.0952707 \tabularnewline
AMS.A & -0.0385703 & 0.0669035 & -0.5765 & 0.564738 & 0.282369 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270366&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]16.8127[/C][C]2.17365[/C][C]7.735[/C][C]1.89802e-13[/C][C]9.49008e-14[/C][/ROW]
[ROW][C]AMS.I2[/C][C]0.0816674[/C][C]0.0665577[/C][C]1.227[/C][C]0.220851[/C][C]0.110425[/C][/ROW]
[ROW][C]AMS.I3[/C][C]-0.0269667[/C][C]0.0549487[/C][C]-0.4908[/C][C]0.623981[/C][C]0.31199[/C][/ROW]
[ROW][C]AMS.E1[/C][C]-0.0590707[/C][C]0.0815389[/C][C]-0.7244[/C][C]0.469397[/C][C]0.234699[/C][/ROW]
[ROW][C]AMS.E2[/C][C]-0.0674165[/C][C]0.0588515[/C][C]-1.146[/C][C]0.252969[/C][C]0.126484[/C][/ROW]
[ROW][C]AMS.E3[/C][C]-0.0913642[/C][C]0.0696284[/C][C]-1.312[/C][C]0.190541[/C][C]0.0952707[/C][/ROW]
[ROW][C]AMS.A[/C][C]-0.0385703[/C][C]0.0669035[/C][C]-0.5765[/C][C]0.564738[/C][C]0.282369[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270366&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270366&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)16.81272.173657.7351.89802e-139.49008e-14
AMS.I20.08166740.06655771.2270.2208510.110425
AMS.I3-0.02696670.0549487-0.49080.6239810.31199
AMS.E1-0.05907070.0815389-0.72440.4693970.234699
AMS.E2-0.06741650.0588515-1.1460.2529690.126484
AMS.E3-0.09136420.0696284-1.3120.1905410.0952707
AMS.A-0.03857030.0669035-0.57650.5647380.282369






Multiple Linear Regression - Regression Statistics
Multiple R0.16135
R-squared0.0260339
Adjusted R-squared0.0050884
F-TEST (value)1.24293
F-TEST (DF numerator)6
F-TEST (DF denominator)279
p-value0.284402
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.41255
Sum Squared Residuals3249.09

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.16135 \tabularnewline
R-squared & 0.0260339 \tabularnewline
Adjusted R-squared & 0.0050884 \tabularnewline
F-TEST (value) & 1.24293 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 279 \tabularnewline
p-value & 0.284402 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.41255 \tabularnewline
Sum Squared Residuals & 3249.09 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270366&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.16135[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0260339[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0050884[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]1.24293[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]279[/C][/ROW]
[ROW][C]p-value[/C][C]0.284402[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.41255[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]3249.09[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270366&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270366&T=3

As an alternative you can also use a QR Code:  
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The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Regression Statistics
Multiple R0.16135
R-squared0.0260339
Adjusted R-squared0.0050884
F-TEST (value)1.24293
F-TEST (DF numerator)6
F-TEST (DF denominator)279
p-value0.284402
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.41255
Sum Squared Residuals3249.09






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.913.4234-0.523418
27.412.4591-5.0591
312.213.1462-0.946203
412.813.4692-0.669196
57.412.9283-5.52834
66.713.6806-6.9806
712.612.9334-0.33338
814.812.08992.7101
913.313.4957-0.195692
1011.112.0902-0.99018
118.214.9384-6.73837
1211.412.8271-1.42707
136.413.225-6.82504
1410.611.8926-1.29259
151212.8763-0.876272
166.312.8174-6.51738
1711.312.254-0.953988
1811.912.7602-0.860213
199.312.7017-3.4017
209.613.1798-3.57976
211012.2407-2.24072
226.412.9821-6.58215
2313.812.69241.1076
2410.812.5042-1.70416
2513.812.47531.32468
2611.712.9549-1.25488
2710.912.5574-1.65738
2816.112.38363.71644
2913.413.1220.27802
309.912.8907-2.99073
3111.512.4628-0.962792
328.312.504-4.20395
3311.713.2023-1.50227
346.113.1851-7.08509
35912.3786-3.37861
369.711.8261-2.12611
3710.812.6145-1.81452
3810.313.4285-3.12853
3910.412.8085-2.40848
4012.712.8998-0.199808
419.313.5061-4.20606
4211.812.3606-0.560646
435.913.7539-7.85393
4411.413.4449-2.0449
451312.84030.15967
4610.811.5284-0.72837
4712.312.3887-0.0886517
4811.313.01-1.71001
4911.813.4659-1.66595
507.912.8135-4.91355
5112.712.4020.297953
5212.313.6052-1.30521
5311.612.6013-1.00128
546.712.8584-6.15838
5510.913.0857-2.18567
5612.112.7927-0.692669
5713.313.28390.0161388
5810.112.707-2.60704
595.712.4578-6.75778
6014.312.56341.73664
61813.0271-5.02711
6213.313.4062-0.106174
639.313.4987-4.19869
6412.512.6984-0.198447
657.611.8009-4.20091
6615.913.23242.6676
679.212.8277-3.62773
689.112.8245-3.72451
6911.112.4607-1.36067
701313.6227-0.62273
7114.512.87211.62793
7212.212.9718-0.771771
7312.313.0424-0.742414
7411.412.8009-1.40091
758.813.3041-4.50412
7614.613.81360.786385
777.312.7398-5.43984
7812.612.01110.588881
791312.67270.327252
8012.613.096-0.495972
8113.213.67-0.470037
829.912.6018-2.70182
837.712.4797-4.77969
8410.512.6496-2.14965
8513.412.38851.01149
8610.912.8711-1.97108
874.312.259-7.95898
8810.313.3373-3.03733
8911.813.092-1.292
9011.212.8837-1.68367
9111.412.5482-1.14824
928.612.8254-4.22535
9313.212.50550.694507
9412.613.0945-0.494462
955.612.3628-6.76278
969.912.9228-3.02279
978.812.6786-3.87859
987.713.3271-5.6271
99912.8064-3.80641
1007.312.9184-5.61841
10111.412.7596-1.35958
10213.613.06790.532122
1037.912.5076-4.60761
10410.712.6569-1.95691
10510.312.4495-2.14949
1068.311.9797-3.6797
1079.612.4764-2.87641
10814.213.43960.760381
1098.513.1294-4.62937
11013.512.90270.597274
1114.912.4485-7.54848
1126.412.7182-6.31823
1139.613.646-4.04604
11411.613.0491-1.44911
11511.112.8047-1.70469
1164.3513.9513-9.60126
11712.712.8189-0.118925
11818.113.1494.95103
11917.8512.77395.07611
12016.613.53683.06323
12112.612.9491-0.349073
12217.113.68873.41131
12319.113.36785.73223
12416.113.09623.00382
12513.3512.92870.421315
12618.413.78884.61121
12714.712.41872.28126
12810.613.1712-2.57118
12912.612.9545-0.354497
13016.212.52483.67523
13113.612.83330.766666
13218.913.0785.82201
13314.112.80541.2946
13414.512.84891.65113
13516.1512.71183.43823
13614.7512.742.00996
13714.813.02811.77195
13812.4512.5719-0.121922
13912.6513.5791-0.929128
14017.3512.95054.39948
1418.613.0161-4.41605
14218.412.74485.65518
14316.114.51831.58166
14411.612.4266-0.826626
14517.7513.04324.70685
14615.2512.79922.45085
14717.6512.91594.73408
14815.613.71271.88725
14916.3513.09833.2517
15017.6513.98813.66193
15113.614.7108-1.11082
15211.713.244-1.544
15314.3513.70310.646937
15414.7513.25431.49572
15518.2513.21915.03087
1569.912.5636-2.66355
1571613.64932.35073
15818.2513.6314.61896
15916.8512.88383.96618
16014.613.09741.50259
16113.8513.40290.447085
16218.9513.6595.29098
16315.612.87762.72242
16414.8513.74211.10789
16511.7512.5467-0.796736
16618.4513.12315.32687
16715.912.63653.26346
16817.112.91484.18523
16916.113.76222.33781
17019.914.72655.17348
17110.9512.3217-1.37166
17218.4512.2846.16597
17315.113.28521.81484
1741513.42211.57791
17511.3512.5617-1.21166
17615.9512.84333.10674
17718.112.98235.11767
17814.612.88651.71348
17915.413.76721.6328
18015.413.43221.96782
18117.612.21175.38834
18213.3513.6394-0.289383
18319.112.42146.67864
18415.3513.06612.28385
1857.612.3123-4.71233
18613.413.39920.000797857
18713.913.35750.542462
18819.113.26735.8327
18915.2512.50072.74926
19012.912.66690.233143
19116.112.79133.30874
19217.3512.93334.41668
19313.1512.88020.26982
19412.1513.0839-0.933938
19512.612.7453-0.145331
19610.3512.8282-2.47821
19715.412.48712.9129
1989.613.1765-3.57645
19918.212.89035.30967
20013.613.03990.560092
20114.8513.75721.0928
20214.7512.61062.1394
20314.113.05441.04559
20414.912.95351.94653
20516.2513.34452.90554
20619.2515.0974.15297
20713.614.2866-0.686559
20813.612.97640.623625
20915.6512.92322.72685
21012.7512.00430.745747
21114.611.89242.70758
2129.8512.7775-2.92747
21312.6513.5438-0.893804
21411.912.5032-0.603212
21519.212.1097.09103
21616.612.31234.28773
21711.212.9315-1.73147
21815.2513.03522.2148
21911.912.467-0.567028
22013.212.50270.697342
22116.3512.36233.98769
22212.413.3608-0.960836
22315.8512.65933.19072
22414.3513.60810.74193
22518.1512.89625.25376
22611.1512.228-1.078
22715.6513.36412.28595
22817.7512.18595.56413
2297.6511.7805-4.13048
23012.3513.5537-1.20374
23115.612.62122.9788
23219.312.59956.70047
23315.212.75552.44451
23417.113.3993.70103
23515.612.69382.90625
23618.412.59385.80617
23719.0512.98056.06949
23818.5513.18355.36648
23919.113.11615.98387
24013.112.25770.842293
24112.8512.47780.372241
2429.513.5411-4.04106
2434.513.3245-8.82447
24411.8512.5317-0.681689
24513.612.46691.13306
24611.715.3722-3.67217
24712.412.7447-0.344668
24813.3513.32530.0246805
24911.411.678-0.278007
25014.913.04591.85415
25119.913.24486.65516
25217.7513.58274.16733
25311.213.5407-2.34074
25414.612.06662.53342
25517.613.26184.33821
25614.0512.31941.73063
25716.112.96063.13941
25813.3513.27170.0782691
25911.8512.5783-0.728253
26011.9513.2396-1.28957
26114.7512.68762.06242
26215.1512.27092.87908
26313.212.43960.760352
26416.8512.99273.85731
2657.8512.4245-4.57446
2667.712.3496-4.64957
26712.612.6525-0.0524776
2687.8513.2646-5.41464
26910.9513.4676-2.51761
27012.3512.3504-0.000370841
2719.9513.0493-3.09929
27214.912.67582.22419
27316.6512.76253.88753
27413.413.7275-0.327494
27513.9513.20290.747131
27615.711.863.83998
27716.8513.21363.63639
27810.9512.7079-1.75795
27915.3512.40162.9484
28012.212.817-0.617012
28115.112.48012.61991
28217.7512.82434.92573
28315.213.04872.15126
28414.613.5831.01704
28516.6512.55874.09134
2868.112.367-4.26695

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 13.4234 & -0.523418 \tabularnewline
2 & 7.4 & 12.4591 & -5.0591 \tabularnewline
3 & 12.2 & 13.1462 & -0.946203 \tabularnewline
4 & 12.8 & 13.4692 & -0.669196 \tabularnewline
5 & 7.4 & 12.9283 & -5.52834 \tabularnewline
6 & 6.7 & 13.6806 & -6.9806 \tabularnewline
7 & 12.6 & 12.9334 & -0.33338 \tabularnewline
8 & 14.8 & 12.0899 & 2.7101 \tabularnewline
9 & 13.3 & 13.4957 & -0.195692 \tabularnewline
10 & 11.1 & 12.0902 & -0.99018 \tabularnewline
11 & 8.2 & 14.9384 & -6.73837 \tabularnewline
12 & 11.4 & 12.8271 & -1.42707 \tabularnewline
13 & 6.4 & 13.225 & -6.82504 \tabularnewline
14 & 10.6 & 11.8926 & -1.29259 \tabularnewline
15 & 12 & 12.8763 & -0.876272 \tabularnewline
16 & 6.3 & 12.8174 & -6.51738 \tabularnewline
17 & 11.3 & 12.254 & -0.953988 \tabularnewline
18 & 11.9 & 12.7602 & -0.860213 \tabularnewline
19 & 9.3 & 12.7017 & -3.4017 \tabularnewline
20 & 9.6 & 13.1798 & -3.57976 \tabularnewline
21 & 10 & 12.2407 & -2.24072 \tabularnewline
22 & 6.4 & 12.9821 & -6.58215 \tabularnewline
23 & 13.8 & 12.6924 & 1.1076 \tabularnewline
24 & 10.8 & 12.5042 & -1.70416 \tabularnewline
25 & 13.8 & 12.4753 & 1.32468 \tabularnewline
26 & 11.7 & 12.9549 & -1.25488 \tabularnewline
27 & 10.9 & 12.5574 & -1.65738 \tabularnewline
28 & 16.1 & 12.3836 & 3.71644 \tabularnewline
29 & 13.4 & 13.122 & 0.27802 \tabularnewline
30 & 9.9 & 12.8907 & -2.99073 \tabularnewline
31 & 11.5 & 12.4628 & -0.962792 \tabularnewline
32 & 8.3 & 12.504 & -4.20395 \tabularnewline
33 & 11.7 & 13.2023 & -1.50227 \tabularnewline
34 & 6.1 & 13.1851 & -7.08509 \tabularnewline
35 & 9 & 12.3786 & -3.37861 \tabularnewline
36 & 9.7 & 11.8261 & -2.12611 \tabularnewline
37 & 10.8 & 12.6145 & -1.81452 \tabularnewline
38 & 10.3 & 13.4285 & -3.12853 \tabularnewline
39 & 10.4 & 12.8085 & -2.40848 \tabularnewline
40 & 12.7 & 12.8998 & -0.199808 \tabularnewline
41 & 9.3 & 13.5061 & -4.20606 \tabularnewline
42 & 11.8 & 12.3606 & -0.560646 \tabularnewline
43 & 5.9 & 13.7539 & -7.85393 \tabularnewline
44 & 11.4 & 13.4449 & -2.0449 \tabularnewline
45 & 13 & 12.8403 & 0.15967 \tabularnewline
46 & 10.8 & 11.5284 & -0.72837 \tabularnewline
47 & 12.3 & 12.3887 & -0.0886517 \tabularnewline
48 & 11.3 & 13.01 & -1.71001 \tabularnewline
49 & 11.8 & 13.4659 & -1.66595 \tabularnewline
50 & 7.9 & 12.8135 & -4.91355 \tabularnewline
51 & 12.7 & 12.402 & 0.297953 \tabularnewline
52 & 12.3 & 13.6052 & -1.30521 \tabularnewline
53 & 11.6 & 12.6013 & -1.00128 \tabularnewline
54 & 6.7 & 12.8584 & -6.15838 \tabularnewline
55 & 10.9 & 13.0857 & -2.18567 \tabularnewline
56 & 12.1 & 12.7927 & -0.692669 \tabularnewline
57 & 13.3 & 13.2839 & 0.0161388 \tabularnewline
58 & 10.1 & 12.707 & -2.60704 \tabularnewline
59 & 5.7 & 12.4578 & -6.75778 \tabularnewline
60 & 14.3 & 12.5634 & 1.73664 \tabularnewline
61 & 8 & 13.0271 & -5.02711 \tabularnewline
62 & 13.3 & 13.4062 & -0.106174 \tabularnewline
63 & 9.3 & 13.4987 & -4.19869 \tabularnewline
64 & 12.5 & 12.6984 & -0.198447 \tabularnewline
65 & 7.6 & 11.8009 & -4.20091 \tabularnewline
66 & 15.9 & 13.2324 & 2.6676 \tabularnewline
67 & 9.2 & 12.8277 & -3.62773 \tabularnewline
68 & 9.1 & 12.8245 & -3.72451 \tabularnewline
69 & 11.1 & 12.4607 & -1.36067 \tabularnewline
70 & 13 & 13.6227 & -0.62273 \tabularnewline
71 & 14.5 & 12.8721 & 1.62793 \tabularnewline
72 & 12.2 & 12.9718 & -0.771771 \tabularnewline
73 & 12.3 & 13.0424 & -0.742414 \tabularnewline
74 & 11.4 & 12.8009 & -1.40091 \tabularnewline
75 & 8.8 & 13.3041 & -4.50412 \tabularnewline
76 & 14.6 & 13.8136 & 0.786385 \tabularnewline
77 & 7.3 & 12.7398 & -5.43984 \tabularnewline
78 & 12.6 & 12.0111 & 0.588881 \tabularnewline
79 & 13 & 12.6727 & 0.327252 \tabularnewline
80 & 12.6 & 13.096 & -0.495972 \tabularnewline
81 & 13.2 & 13.67 & -0.470037 \tabularnewline
82 & 9.9 & 12.6018 & -2.70182 \tabularnewline
83 & 7.7 & 12.4797 & -4.77969 \tabularnewline
84 & 10.5 & 12.6496 & -2.14965 \tabularnewline
85 & 13.4 & 12.3885 & 1.01149 \tabularnewline
86 & 10.9 & 12.8711 & -1.97108 \tabularnewline
87 & 4.3 & 12.259 & -7.95898 \tabularnewline
88 & 10.3 & 13.3373 & -3.03733 \tabularnewline
89 & 11.8 & 13.092 & -1.292 \tabularnewline
90 & 11.2 & 12.8837 & -1.68367 \tabularnewline
91 & 11.4 & 12.5482 & -1.14824 \tabularnewline
92 & 8.6 & 12.8254 & -4.22535 \tabularnewline
93 & 13.2 & 12.5055 & 0.694507 \tabularnewline
94 & 12.6 & 13.0945 & -0.494462 \tabularnewline
95 & 5.6 & 12.3628 & -6.76278 \tabularnewline
96 & 9.9 & 12.9228 & -3.02279 \tabularnewline
97 & 8.8 & 12.6786 & -3.87859 \tabularnewline
98 & 7.7 & 13.3271 & -5.6271 \tabularnewline
99 & 9 & 12.8064 & -3.80641 \tabularnewline
100 & 7.3 & 12.9184 & -5.61841 \tabularnewline
101 & 11.4 & 12.7596 & -1.35958 \tabularnewline
102 & 13.6 & 13.0679 & 0.532122 \tabularnewline
103 & 7.9 & 12.5076 & -4.60761 \tabularnewline
104 & 10.7 & 12.6569 & -1.95691 \tabularnewline
105 & 10.3 & 12.4495 & -2.14949 \tabularnewline
106 & 8.3 & 11.9797 & -3.6797 \tabularnewline
107 & 9.6 & 12.4764 & -2.87641 \tabularnewline
108 & 14.2 & 13.4396 & 0.760381 \tabularnewline
109 & 8.5 & 13.1294 & -4.62937 \tabularnewline
110 & 13.5 & 12.9027 & 0.597274 \tabularnewline
111 & 4.9 & 12.4485 & -7.54848 \tabularnewline
112 & 6.4 & 12.7182 & -6.31823 \tabularnewline
113 & 9.6 & 13.646 & -4.04604 \tabularnewline
114 & 11.6 & 13.0491 & -1.44911 \tabularnewline
115 & 11.1 & 12.8047 & -1.70469 \tabularnewline
116 & 4.35 & 13.9513 & -9.60126 \tabularnewline
117 & 12.7 & 12.8189 & -0.118925 \tabularnewline
118 & 18.1 & 13.149 & 4.95103 \tabularnewline
119 & 17.85 & 12.7739 & 5.07611 \tabularnewline
120 & 16.6 & 13.5368 & 3.06323 \tabularnewline
121 & 12.6 & 12.9491 & -0.349073 \tabularnewline
122 & 17.1 & 13.6887 & 3.41131 \tabularnewline
123 & 19.1 & 13.3678 & 5.73223 \tabularnewline
124 & 16.1 & 13.0962 & 3.00382 \tabularnewline
125 & 13.35 & 12.9287 & 0.421315 \tabularnewline
126 & 18.4 & 13.7888 & 4.61121 \tabularnewline
127 & 14.7 & 12.4187 & 2.28126 \tabularnewline
128 & 10.6 & 13.1712 & -2.57118 \tabularnewline
129 & 12.6 & 12.9545 & -0.354497 \tabularnewline
130 & 16.2 & 12.5248 & 3.67523 \tabularnewline
131 & 13.6 & 12.8333 & 0.766666 \tabularnewline
132 & 18.9 & 13.078 & 5.82201 \tabularnewline
133 & 14.1 & 12.8054 & 1.2946 \tabularnewline
134 & 14.5 & 12.8489 & 1.65113 \tabularnewline
135 & 16.15 & 12.7118 & 3.43823 \tabularnewline
136 & 14.75 & 12.74 & 2.00996 \tabularnewline
137 & 14.8 & 13.0281 & 1.77195 \tabularnewline
138 & 12.45 & 12.5719 & -0.121922 \tabularnewline
139 & 12.65 & 13.5791 & -0.929128 \tabularnewline
140 & 17.35 & 12.9505 & 4.39948 \tabularnewline
141 & 8.6 & 13.0161 & -4.41605 \tabularnewline
142 & 18.4 & 12.7448 & 5.65518 \tabularnewline
143 & 16.1 & 14.5183 & 1.58166 \tabularnewline
144 & 11.6 & 12.4266 & -0.826626 \tabularnewline
145 & 17.75 & 13.0432 & 4.70685 \tabularnewline
146 & 15.25 & 12.7992 & 2.45085 \tabularnewline
147 & 17.65 & 12.9159 & 4.73408 \tabularnewline
148 & 15.6 & 13.7127 & 1.88725 \tabularnewline
149 & 16.35 & 13.0983 & 3.2517 \tabularnewline
150 & 17.65 & 13.9881 & 3.66193 \tabularnewline
151 & 13.6 & 14.7108 & -1.11082 \tabularnewline
152 & 11.7 & 13.244 & -1.544 \tabularnewline
153 & 14.35 & 13.7031 & 0.646937 \tabularnewline
154 & 14.75 & 13.2543 & 1.49572 \tabularnewline
155 & 18.25 & 13.2191 & 5.03087 \tabularnewline
156 & 9.9 & 12.5636 & -2.66355 \tabularnewline
157 & 16 & 13.6493 & 2.35073 \tabularnewline
158 & 18.25 & 13.631 & 4.61896 \tabularnewline
159 & 16.85 & 12.8838 & 3.96618 \tabularnewline
160 & 14.6 & 13.0974 & 1.50259 \tabularnewline
161 & 13.85 & 13.4029 & 0.447085 \tabularnewline
162 & 18.95 & 13.659 & 5.29098 \tabularnewline
163 & 15.6 & 12.8776 & 2.72242 \tabularnewline
164 & 14.85 & 13.7421 & 1.10789 \tabularnewline
165 & 11.75 & 12.5467 & -0.796736 \tabularnewline
166 & 18.45 & 13.1231 & 5.32687 \tabularnewline
167 & 15.9 & 12.6365 & 3.26346 \tabularnewline
168 & 17.1 & 12.9148 & 4.18523 \tabularnewline
169 & 16.1 & 13.7622 & 2.33781 \tabularnewline
170 & 19.9 & 14.7265 & 5.17348 \tabularnewline
171 & 10.95 & 12.3217 & -1.37166 \tabularnewline
172 & 18.45 & 12.284 & 6.16597 \tabularnewline
173 & 15.1 & 13.2852 & 1.81484 \tabularnewline
174 & 15 & 13.4221 & 1.57791 \tabularnewline
175 & 11.35 & 12.5617 & -1.21166 \tabularnewline
176 & 15.95 & 12.8433 & 3.10674 \tabularnewline
177 & 18.1 & 12.9823 & 5.11767 \tabularnewline
178 & 14.6 & 12.8865 & 1.71348 \tabularnewline
179 & 15.4 & 13.7672 & 1.6328 \tabularnewline
180 & 15.4 & 13.4322 & 1.96782 \tabularnewline
181 & 17.6 & 12.2117 & 5.38834 \tabularnewline
182 & 13.35 & 13.6394 & -0.289383 \tabularnewline
183 & 19.1 & 12.4214 & 6.67864 \tabularnewline
184 & 15.35 & 13.0661 & 2.28385 \tabularnewline
185 & 7.6 & 12.3123 & -4.71233 \tabularnewline
186 & 13.4 & 13.3992 & 0.000797857 \tabularnewline
187 & 13.9 & 13.3575 & 0.542462 \tabularnewline
188 & 19.1 & 13.2673 & 5.8327 \tabularnewline
189 & 15.25 & 12.5007 & 2.74926 \tabularnewline
190 & 12.9 & 12.6669 & 0.233143 \tabularnewline
191 & 16.1 & 12.7913 & 3.30874 \tabularnewline
192 & 17.35 & 12.9333 & 4.41668 \tabularnewline
193 & 13.15 & 12.8802 & 0.26982 \tabularnewline
194 & 12.15 & 13.0839 & -0.933938 \tabularnewline
195 & 12.6 & 12.7453 & -0.145331 \tabularnewline
196 & 10.35 & 12.8282 & -2.47821 \tabularnewline
197 & 15.4 & 12.4871 & 2.9129 \tabularnewline
198 & 9.6 & 13.1765 & -3.57645 \tabularnewline
199 & 18.2 & 12.8903 & 5.30967 \tabularnewline
200 & 13.6 & 13.0399 & 0.560092 \tabularnewline
201 & 14.85 & 13.7572 & 1.0928 \tabularnewline
202 & 14.75 & 12.6106 & 2.1394 \tabularnewline
203 & 14.1 & 13.0544 & 1.04559 \tabularnewline
204 & 14.9 & 12.9535 & 1.94653 \tabularnewline
205 & 16.25 & 13.3445 & 2.90554 \tabularnewline
206 & 19.25 & 15.097 & 4.15297 \tabularnewline
207 & 13.6 & 14.2866 & -0.686559 \tabularnewline
208 & 13.6 & 12.9764 & 0.623625 \tabularnewline
209 & 15.65 & 12.9232 & 2.72685 \tabularnewline
210 & 12.75 & 12.0043 & 0.745747 \tabularnewline
211 & 14.6 & 11.8924 & 2.70758 \tabularnewline
212 & 9.85 & 12.7775 & -2.92747 \tabularnewline
213 & 12.65 & 13.5438 & -0.893804 \tabularnewline
214 & 11.9 & 12.5032 & -0.603212 \tabularnewline
215 & 19.2 & 12.109 & 7.09103 \tabularnewline
216 & 16.6 & 12.3123 & 4.28773 \tabularnewline
217 & 11.2 & 12.9315 & -1.73147 \tabularnewline
218 & 15.25 & 13.0352 & 2.2148 \tabularnewline
219 & 11.9 & 12.467 & -0.567028 \tabularnewline
220 & 13.2 & 12.5027 & 0.697342 \tabularnewline
221 & 16.35 & 12.3623 & 3.98769 \tabularnewline
222 & 12.4 & 13.3608 & -0.960836 \tabularnewline
223 & 15.85 & 12.6593 & 3.19072 \tabularnewline
224 & 14.35 & 13.6081 & 0.74193 \tabularnewline
225 & 18.15 & 12.8962 & 5.25376 \tabularnewline
226 & 11.15 & 12.228 & -1.078 \tabularnewline
227 & 15.65 & 13.3641 & 2.28595 \tabularnewline
228 & 17.75 & 12.1859 & 5.56413 \tabularnewline
229 & 7.65 & 11.7805 & -4.13048 \tabularnewline
230 & 12.35 & 13.5537 & -1.20374 \tabularnewline
231 & 15.6 & 12.6212 & 2.9788 \tabularnewline
232 & 19.3 & 12.5995 & 6.70047 \tabularnewline
233 & 15.2 & 12.7555 & 2.44451 \tabularnewline
234 & 17.1 & 13.399 & 3.70103 \tabularnewline
235 & 15.6 & 12.6938 & 2.90625 \tabularnewline
236 & 18.4 & 12.5938 & 5.80617 \tabularnewline
237 & 19.05 & 12.9805 & 6.06949 \tabularnewline
238 & 18.55 & 13.1835 & 5.36648 \tabularnewline
239 & 19.1 & 13.1161 & 5.98387 \tabularnewline
240 & 13.1 & 12.2577 & 0.842293 \tabularnewline
241 & 12.85 & 12.4778 & 0.372241 \tabularnewline
242 & 9.5 & 13.5411 & -4.04106 \tabularnewline
243 & 4.5 & 13.3245 & -8.82447 \tabularnewline
244 & 11.85 & 12.5317 & -0.681689 \tabularnewline
245 & 13.6 & 12.4669 & 1.13306 \tabularnewline
246 & 11.7 & 15.3722 & -3.67217 \tabularnewline
247 & 12.4 & 12.7447 & -0.344668 \tabularnewline
248 & 13.35 & 13.3253 & 0.0246805 \tabularnewline
249 & 11.4 & 11.678 & -0.278007 \tabularnewline
250 & 14.9 & 13.0459 & 1.85415 \tabularnewline
251 & 19.9 & 13.2448 & 6.65516 \tabularnewline
252 & 17.75 & 13.5827 & 4.16733 \tabularnewline
253 & 11.2 & 13.5407 & -2.34074 \tabularnewline
254 & 14.6 & 12.0666 & 2.53342 \tabularnewline
255 & 17.6 & 13.2618 & 4.33821 \tabularnewline
256 & 14.05 & 12.3194 & 1.73063 \tabularnewline
257 & 16.1 & 12.9606 & 3.13941 \tabularnewline
258 & 13.35 & 13.2717 & 0.0782691 \tabularnewline
259 & 11.85 & 12.5783 & -0.728253 \tabularnewline
260 & 11.95 & 13.2396 & -1.28957 \tabularnewline
261 & 14.75 & 12.6876 & 2.06242 \tabularnewline
262 & 15.15 & 12.2709 & 2.87908 \tabularnewline
263 & 13.2 & 12.4396 & 0.760352 \tabularnewline
264 & 16.85 & 12.9927 & 3.85731 \tabularnewline
265 & 7.85 & 12.4245 & -4.57446 \tabularnewline
266 & 7.7 & 12.3496 & -4.64957 \tabularnewline
267 & 12.6 & 12.6525 & -0.0524776 \tabularnewline
268 & 7.85 & 13.2646 & -5.41464 \tabularnewline
269 & 10.95 & 13.4676 & -2.51761 \tabularnewline
270 & 12.35 & 12.3504 & -0.000370841 \tabularnewline
271 & 9.95 & 13.0493 & -3.09929 \tabularnewline
272 & 14.9 & 12.6758 & 2.22419 \tabularnewline
273 & 16.65 & 12.7625 & 3.88753 \tabularnewline
274 & 13.4 & 13.7275 & -0.327494 \tabularnewline
275 & 13.95 & 13.2029 & 0.747131 \tabularnewline
276 & 15.7 & 11.86 & 3.83998 \tabularnewline
277 & 16.85 & 13.2136 & 3.63639 \tabularnewline
278 & 10.95 & 12.7079 & -1.75795 \tabularnewline
279 & 15.35 & 12.4016 & 2.9484 \tabularnewline
280 & 12.2 & 12.817 & -0.617012 \tabularnewline
281 & 15.1 & 12.4801 & 2.61991 \tabularnewline
282 & 17.75 & 12.8243 & 4.92573 \tabularnewline
283 & 15.2 & 13.0487 & 2.15126 \tabularnewline
284 & 14.6 & 13.583 & 1.01704 \tabularnewline
285 & 16.65 & 12.5587 & 4.09134 \tabularnewline
286 & 8.1 & 12.367 & -4.26695 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270366&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]12.9[/C][C]13.4234[/C][C]-0.523418[/C][/ROW]
[ROW][C]2[/C][C]7.4[/C][C]12.4591[/C][C]-5.0591[/C][/ROW]
[ROW][C]3[/C][C]12.2[/C][C]13.1462[/C][C]-0.946203[/C][/ROW]
[ROW][C]4[/C][C]12.8[/C][C]13.4692[/C][C]-0.669196[/C][/ROW]
[ROW][C]5[/C][C]7.4[/C][C]12.9283[/C][C]-5.52834[/C][/ROW]
[ROW][C]6[/C][C]6.7[/C][C]13.6806[/C][C]-6.9806[/C][/ROW]
[ROW][C]7[/C][C]12.6[/C][C]12.9334[/C][C]-0.33338[/C][/ROW]
[ROW][C]8[/C][C]14.8[/C][C]12.0899[/C][C]2.7101[/C][/ROW]
[ROW][C]9[/C][C]13.3[/C][C]13.4957[/C][C]-0.195692[/C][/ROW]
[ROW][C]10[/C][C]11.1[/C][C]12.0902[/C][C]-0.99018[/C][/ROW]
[ROW][C]11[/C][C]8.2[/C][C]14.9384[/C][C]-6.73837[/C][/ROW]
[ROW][C]12[/C][C]11.4[/C][C]12.8271[/C][C]-1.42707[/C][/ROW]
[ROW][C]13[/C][C]6.4[/C][C]13.225[/C][C]-6.82504[/C][/ROW]
[ROW][C]14[/C][C]10.6[/C][C]11.8926[/C][C]-1.29259[/C][/ROW]
[ROW][C]15[/C][C]12[/C][C]12.8763[/C][C]-0.876272[/C][/ROW]
[ROW][C]16[/C][C]6.3[/C][C]12.8174[/C][C]-6.51738[/C][/ROW]
[ROW][C]17[/C][C]11.3[/C][C]12.254[/C][C]-0.953988[/C][/ROW]
[ROW][C]18[/C][C]11.9[/C][C]12.7602[/C][C]-0.860213[/C][/ROW]
[ROW][C]19[/C][C]9.3[/C][C]12.7017[/C][C]-3.4017[/C][/ROW]
[ROW][C]20[/C][C]9.6[/C][C]13.1798[/C][C]-3.57976[/C][/ROW]
[ROW][C]21[/C][C]10[/C][C]12.2407[/C][C]-2.24072[/C][/ROW]
[ROW][C]22[/C][C]6.4[/C][C]12.9821[/C][C]-6.58215[/C][/ROW]
[ROW][C]23[/C][C]13.8[/C][C]12.6924[/C][C]1.1076[/C][/ROW]
[ROW][C]24[/C][C]10.8[/C][C]12.5042[/C][C]-1.70416[/C][/ROW]
[ROW][C]25[/C][C]13.8[/C][C]12.4753[/C][C]1.32468[/C][/ROW]
[ROW][C]26[/C][C]11.7[/C][C]12.9549[/C][C]-1.25488[/C][/ROW]
[ROW][C]27[/C][C]10.9[/C][C]12.5574[/C][C]-1.65738[/C][/ROW]
[ROW][C]28[/C][C]16.1[/C][C]12.3836[/C][C]3.71644[/C][/ROW]
[ROW][C]29[/C][C]13.4[/C][C]13.122[/C][C]0.27802[/C][/ROW]
[ROW][C]30[/C][C]9.9[/C][C]12.8907[/C][C]-2.99073[/C][/ROW]
[ROW][C]31[/C][C]11.5[/C][C]12.4628[/C][C]-0.962792[/C][/ROW]
[ROW][C]32[/C][C]8.3[/C][C]12.504[/C][C]-4.20395[/C][/ROW]
[ROW][C]33[/C][C]11.7[/C][C]13.2023[/C][C]-1.50227[/C][/ROW]
[ROW][C]34[/C][C]6.1[/C][C]13.1851[/C][C]-7.08509[/C][/ROW]
[ROW][C]35[/C][C]9[/C][C]12.3786[/C][C]-3.37861[/C][/ROW]
[ROW][C]36[/C][C]9.7[/C][C]11.8261[/C][C]-2.12611[/C][/ROW]
[ROW][C]37[/C][C]10.8[/C][C]12.6145[/C][C]-1.81452[/C][/ROW]
[ROW][C]38[/C][C]10.3[/C][C]13.4285[/C][C]-3.12853[/C][/ROW]
[ROW][C]39[/C][C]10.4[/C][C]12.8085[/C][C]-2.40848[/C][/ROW]
[ROW][C]40[/C][C]12.7[/C][C]12.8998[/C][C]-0.199808[/C][/ROW]
[ROW][C]41[/C][C]9.3[/C][C]13.5061[/C][C]-4.20606[/C][/ROW]
[ROW][C]42[/C][C]11.8[/C][C]12.3606[/C][C]-0.560646[/C][/ROW]
[ROW][C]43[/C][C]5.9[/C][C]13.7539[/C][C]-7.85393[/C][/ROW]
[ROW][C]44[/C][C]11.4[/C][C]13.4449[/C][C]-2.0449[/C][/ROW]
[ROW][C]45[/C][C]13[/C][C]12.8403[/C][C]0.15967[/C][/ROW]
[ROW][C]46[/C][C]10.8[/C][C]11.5284[/C][C]-0.72837[/C][/ROW]
[ROW][C]47[/C][C]12.3[/C][C]12.3887[/C][C]-0.0886517[/C][/ROW]
[ROW][C]48[/C][C]11.3[/C][C]13.01[/C][C]-1.71001[/C][/ROW]
[ROW][C]49[/C][C]11.8[/C][C]13.4659[/C][C]-1.66595[/C][/ROW]
[ROW][C]50[/C][C]7.9[/C][C]12.8135[/C][C]-4.91355[/C][/ROW]
[ROW][C]51[/C][C]12.7[/C][C]12.402[/C][C]0.297953[/C][/ROW]
[ROW][C]52[/C][C]12.3[/C][C]13.6052[/C][C]-1.30521[/C][/ROW]
[ROW][C]53[/C][C]11.6[/C][C]12.6013[/C][C]-1.00128[/C][/ROW]
[ROW][C]54[/C][C]6.7[/C][C]12.8584[/C][C]-6.15838[/C][/ROW]
[ROW][C]55[/C][C]10.9[/C][C]13.0857[/C][C]-2.18567[/C][/ROW]
[ROW][C]56[/C][C]12.1[/C][C]12.7927[/C][C]-0.692669[/C][/ROW]
[ROW][C]57[/C][C]13.3[/C][C]13.2839[/C][C]0.0161388[/C][/ROW]
[ROW][C]58[/C][C]10.1[/C][C]12.707[/C][C]-2.60704[/C][/ROW]
[ROW][C]59[/C][C]5.7[/C][C]12.4578[/C][C]-6.75778[/C][/ROW]
[ROW][C]60[/C][C]14.3[/C][C]12.5634[/C][C]1.73664[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]13.0271[/C][C]-5.02711[/C][/ROW]
[ROW][C]62[/C][C]13.3[/C][C]13.4062[/C][C]-0.106174[/C][/ROW]
[ROW][C]63[/C][C]9.3[/C][C]13.4987[/C][C]-4.19869[/C][/ROW]
[ROW][C]64[/C][C]12.5[/C][C]12.6984[/C][C]-0.198447[/C][/ROW]
[ROW][C]65[/C][C]7.6[/C][C]11.8009[/C][C]-4.20091[/C][/ROW]
[ROW][C]66[/C][C]15.9[/C][C]13.2324[/C][C]2.6676[/C][/ROW]
[ROW][C]67[/C][C]9.2[/C][C]12.8277[/C][C]-3.62773[/C][/ROW]
[ROW][C]68[/C][C]9.1[/C][C]12.8245[/C][C]-3.72451[/C][/ROW]
[ROW][C]69[/C][C]11.1[/C][C]12.4607[/C][C]-1.36067[/C][/ROW]
[ROW][C]70[/C][C]13[/C][C]13.6227[/C][C]-0.62273[/C][/ROW]
[ROW][C]71[/C][C]14.5[/C][C]12.8721[/C][C]1.62793[/C][/ROW]
[ROW][C]72[/C][C]12.2[/C][C]12.9718[/C][C]-0.771771[/C][/ROW]
[ROW][C]73[/C][C]12.3[/C][C]13.0424[/C][C]-0.742414[/C][/ROW]
[ROW][C]74[/C][C]11.4[/C][C]12.8009[/C][C]-1.40091[/C][/ROW]
[ROW][C]75[/C][C]8.8[/C][C]13.3041[/C][C]-4.50412[/C][/ROW]
[ROW][C]76[/C][C]14.6[/C][C]13.8136[/C][C]0.786385[/C][/ROW]
[ROW][C]77[/C][C]7.3[/C][C]12.7398[/C][C]-5.43984[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]12.0111[/C][C]0.588881[/C][/ROW]
[ROW][C]79[/C][C]13[/C][C]12.6727[/C][C]0.327252[/C][/ROW]
[ROW][C]80[/C][C]12.6[/C][C]13.096[/C][C]-0.495972[/C][/ROW]
[ROW][C]81[/C][C]13.2[/C][C]13.67[/C][C]-0.470037[/C][/ROW]
[ROW][C]82[/C][C]9.9[/C][C]12.6018[/C][C]-2.70182[/C][/ROW]
[ROW][C]83[/C][C]7.7[/C][C]12.4797[/C][C]-4.77969[/C][/ROW]
[ROW][C]84[/C][C]10.5[/C][C]12.6496[/C][C]-2.14965[/C][/ROW]
[ROW][C]85[/C][C]13.4[/C][C]12.3885[/C][C]1.01149[/C][/ROW]
[ROW][C]86[/C][C]10.9[/C][C]12.8711[/C][C]-1.97108[/C][/ROW]
[ROW][C]87[/C][C]4.3[/C][C]12.259[/C][C]-7.95898[/C][/ROW]
[ROW][C]88[/C][C]10.3[/C][C]13.3373[/C][C]-3.03733[/C][/ROW]
[ROW][C]89[/C][C]11.8[/C][C]13.092[/C][C]-1.292[/C][/ROW]
[ROW][C]90[/C][C]11.2[/C][C]12.8837[/C][C]-1.68367[/C][/ROW]
[ROW][C]91[/C][C]11.4[/C][C]12.5482[/C][C]-1.14824[/C][/ROW]
[ROW][C]92[/C][C]8.6[/C][C]12.8254[/C][C]-4.22535[/C][/ROW]
[ROW][C]93[/C][C]13.2[/C][C]12.5055[/C][C]0.694507[/C][/ROW]
[ROW][C]94[/C][C]12.6[/C][C]13.0945[/C][C]-0.494462[/C][/ROW]
[ROW][C]95[/C][C]5.6[/C][C]12.3628[/C][C]-6.76278[/C][/ROW]
[ROW][C]96[/C][C]9.9[/C][C]12.9228[/C][C]-3.02279[/C][/ROW]
[ROW][C]97[/C][C]8.8[/C][C]12.6786[/C][C]-3.87859[/C][/ROW]
[ROW][C]98[/C][C]7.7[/C][C]13.3271[/C][C]-5.6271[/C][/ROW]
[ROW][C]99[/C][C]9[/C][C]12.8064[/C][C]-3.80641[/C][/ROW]
[ROW][C]100[/C][C]7.3[/C][C]12.9184[/C][C]-5.61841[/C][/ROW]
[ROW][C]101[/C][C]11.4[/C][C]12.7596[/C][C]-1.35958[/C][/ROW]
[ROW][C]102[/C][C]13.6[/C][C]13.0679[/C][C]0.532122[/C][/ROW]
[ROW][C]103[/C][C]7.9[/C][C]12.5076[/C][C]-4.60761[/C][/ROW]
[ROW][C]104[/C][C]10.7[/C][C]12.6569[/C][C]-1.95691[/C][/ROW]
[ROW][C]105[/C][C]10.3[/C][C]12.4495[/C][C]-2.14949[/C][/ROW]
[ROW][C]106[/C][C]8.3[/C][C]11.9797[/C][C]-3.6797[/C][/ROW]
[ROW][C]107[/C][C]9.6[/C][C]12.4764[/C][C]-2.87641[/C][/ROW]
[ROW][C]108[/C][C]14.2[/C][C]13.4396[/C][C]0.760381[/C][/ROW]
[ROW][C]109[/C][C]8.5[/C][C]13.1294[/C][C]-4.62937[/C][/ROW]
[ROW][C]110[/C][C]13.5[/C][C]12.9027[/C][C]0.597274[/C][/ROW]
[ROW][C]111[/C][C]4.9[/C][C]12.4485[/C][C]-7.54848[/C][/ROW]
[ROW][C]112[/C][C]6.4[/C][C]12.7182[/C][C]-6.31823[/C][/ROW]
[ROW][C]113[/C][C]9.6[/C][C]13.646[/C][C]-4.04604[/C][/ROW]
[ROW][C]114[/C][C]11.6[/C][C]13.0491[/C][C]-1.44911[/C][/ROW]
[ROW][C]115[/C][C]11.1[/C][C]12.8047[/C][C]-1.70469[/C][/ROW]
[ROW][C]116[/C][C]4.35[/C][C]13.9513[/C][C]-9.60126[/C][/ROW]
[ROW][C]117[/C][C]12.7[/C][C]12.8189[/C][C]-0.118925[/C][/ROW]
[ROW][C]118[/C][C]18.1[/C][C]13.149[/C][C]4.95103[/C][/ROW]
[ROW][C]119[/C][C]17.85[/C][C]12.7739[/C][C]5.07611[/C][/ROW]
[ROW][C]120[/C][C]16.6[/C][C]13.5368[/C][C]3.06323[/C][/ROW]
[ROW][C]121[/C][C]12.6[/C][C]12.9491[/C][C]-0.349073[/C][/ROW]
[ROW][C]122[/C][C]17.1[/C][C]13.6887[/C][C]3.41131[/C][/ROW]
[ROW][C]123[/C][C]19.1[/C][C]13.3678[/C][C]5.73223[/C][/ROW]
[ROW][C]124[/C][C]16.1[/C][C]13.0962[/C][C]3.00382[/C][/ROW]
[ROW][C]125[/C][C]13.35[/C][C]12.9287[/C][C]0.421315[/C][/ROW]
[ROW][C]126[/C][C]18.4[/C][C]13.7888[/C][C]4.61121[/C][/ROW]
[ROW][C]127[/C][C]14.7[/C][C]12.4187[/C][C]2.28126[/C][/ROW]
[ROW][C]128[/C][C]10.6[/C][C]13.1712[/C][C]-2.57118[/C][/ROW]
[ROW][C]129[/C][C]12.6[/C][C]12.9545[/C][C]-0.354497[/C][/ROW]
[ROW][C]130[/C][C]16.2[/C][C]12.5248[/C][C]3.67523[/C][/ROW]
[ROW][C]131[/C][C]13.6[/C][C]12.8333[/C][C]0.766666[/C][/ROW]
[ROW][C]132[/C][C]18.9[/C][C]13.078[/C][C]5.82201[/C][/ROW]
[ROW][C]133[/C][C]14.1[/C][C]12.8054[/C][C]1.2946[/C][/ROW]
[ROW][C]134[/C][C]14.5[/C][C]12.8489[/C][C]1.65113[/C][/ROW]
[ROW][C]135[/C][C]16.15[/C][C]12.7118[/C][C]3.43823[/C][/ROW]
[ROW][C]136[/C][C]14.75[/C][C]12.74[/C][C]2.00996[/C][/ROW]
[ROW][C]137[/C][C]14.8[/C][C]13.0281[/C][C]1.77195[/C][/ROW]
[ROW][C]138[/C][C]12.45[/C][C]12.5719[/C][C]-0.121922[/C][/ROW]
[ROW][C]139[/C][C]12.65[/C][C]13.5791[/C][C]-0.929128[/C][/ROW]
[ROW][C]140[/C][C]17.35[/C][C]12.9505[/C][C]4.39948[/C][/ROW]
[ROW][C]141[/C][C]8.6[/C][C]13.0161[/C][C]-4.41605[/C][/ROW]
[ROW][C]142[/C][C]18.4[/C][C]12.7448[/C][C]5.65518[/C][/ROW]
[ROW][C]143[/C][C]16.1[/C][C]14.5183[/C][C]1.58166[/C][/ROW]
[ROW][C]144[/C][C]11.6[/C][C]12.4266[/C][C]-0.826626[/C][/ROW]
[ROW][C]145[/C][C]17.75[/C][C]13.0432[/C][C]4.70685[/C][/ROW]
[ROW][C]146[/C][C]15.25[/C][C]12.7992[/C][C]2.45085[/C][/ROW]
[ROW][C]147[/C][C]17.65[/C][C]12.9159[/C][C]4.73408[/C][/ROW]
[ROW][C]148[/C][C]15.6[/C][C]13.7127[/C][C]1.88725[/C][/ROW]
[ROW][C]149[/C][C]16.35[/C][C]13.0983[/C][C]3.2517[/C][/ROW]
[ROW][C]150[/C][C]17.65[/C][C]13.9881[/C][C]3.66193[/C][/ROW]
[ROW][C]151[/C][C]13.6[/C][C]14.7108[/C][C]-1.11082[/C][/ROW]
[ROW][C]152[/C][C]11.7[/C][C]13.244[/C][C]-1.544[/C][/ROW]
[ROW][C]153[/C][C]14.35[/C][C]13.7031[/C][C]0.646937[/C][/ROW]
[ROW][C]154[/C][C]14.75[/C][C]13.2543[/C][C]1.49572[/C][/ROW]
[ROW][C]155[/C][C]18.25[/C][C]13.2191[/C][C]5.03087[/C][/ROW]
[ROW][C]156[/C][C]9.9[/C][C]12.5636[/C][C]-2.66355[/C][/ROW]
[ROW][C]157[/C][C]16[/C][C]13.6493[/C][C]2.35073[/C][/ROW]
[ROW][C]158[/C][C]18.25[/C][C]13.631[/C][C]4.61896[/C][/ROW]
[ROW][C]159[/C][C]16.85[/C][C]12.8838[/C][C]3.96618[/C][/ROW]
[ROW][C]160[/C][C]14.6[/C][C]13.0974[/C][C]1.50259[/C][/ROW]
[ROW][C]161[/C][C]13.85[/C][C]13.4029[/C][C]0.447085[/C][/ROW]
[ROW][C]162[/C][C]18.95[/C][C]13.659[/C][C]5.29098[/C][/ROW]
[ROW][C]163[/C][C]15.6[/C][C]12.8776[/C][C]2.72242[/C][/ROW]
[ROW][C]164[/C][C]14.85[/C][C]13.7421[/C][C]1.10789[/C][/ROW]
[ROW][C]165[/C][C]11.75[/C][C]12.5467[/C][C]-0.796736[/C][/ROW]
[ROW][C]166[/C][C]18.45[/C][C]13.1231[/C][C]5.32687[/C][/ROW]
[ROW][C]167[/C][C]15.9[/C][C]12.6365[/C][C]3.26346[/C][/ROW]
[ROW][C]168[/C][C]17.1[/C][C]12.9148[/C][C]4.18523[/C][/ROW]
[ROW][C]169[/C][C]16.1[/C][C]13.7622[/C][C]2.33781[/C][/ROW]
[ROW][C]170[/C][C]19.9[/C][C]14.7265[/C][C]5.17348[/C][/ROW]
[ROW][C]171[/C][C]10.95[/C][C]12.3217[/C][C]-1.37166[/C][/ROW]
[ROW][C]172[/C][C]18.45[/C][C]12.284[/C][C]6.16597[/C][/ROW]
[ROW][C]173[/C][C]15.1[/C][C]13.2852[/C][C]1.81484[/C][/ROW]
[ROW][C]174[/C][C]15[/C][C]13.4221[/C][C]1.57791[/C][/ROW]
[ROW][C]175[/C][C]11.35[/C][C]12.5617[/C][C]-1.21166[/C][/ROW]
[ROW][C]176[/C][C]15.95[/C][C]12.8433[/C][C]3.10674[/C][/ROW]
[ROW][C]177[/C][C]18.1[/C][C]12.9823[/C][C]5.11767[/C][/ROW]
[ROW][C]178[/C][C]14.6[/C][C]12.8865[/C][C]1.71348[/C][/ROW]
[ROW][C]179[/C][C]15.4[/C][C]13.7672[/C][C]1.6328[/C][/ROW]
[ROW][C]180[/C][C]15.4[/C][C]13.4322[/C][C]1.96782[/C][/ROW]
[ROW][C]181[/C][C]17.6[/C][C]12.2117[/C][C]5.38834[/C][/ROW]
[ROW][C]182[/C][C]13.35[/C][C]13.6394[/C][C]-0.289383[/C][/ROW]
[ROW][C]183[/C][C]19.1[/C][C]12.4214[/C][C]6.67864[/C][/ROW]
[ROW][C]184[/C][C]15.35[/C][C]13.0661[/C][C]2.28385[/C][/ROW]
[ROW][C]185[/C][C]7.6[/C][C]12.3123[/C][C]-4.71233[/C][/ROW]
[ROW][C]186[/C][C]13.4[/C][C]13.3992[/C][C]0.000797857[/C][/ROW]
[ROW][C]187[/C][C]13.9[/C][C]13.3575[/C][C]0.542462[/C][/ROW]
[ROW][C]188[/C][C]19.1[/C][C]13.2673[/C][C]5.8327[/C][/ROW]
[ROW][C]189[/C][C]15.25[/C][C]12.5007[/C][C]2.74926[/C][/ROW]
[ROW][C]190[/C][C]12.9[/C][C]12.6669[/C][C]0.233143[/C][/ROW]
[ROW][C]191[/C][C]16.1[/C][C]12.7913[/C][C]3.30874[/C][/ROW]
[ROW][C]192[/C][C]17.35[/C][C]12.9333[/C][C]4.41668[/C][/ROW]
[ROW][C]193[/C][C]13.15[/C][C]12.8802[/C][C]0.26982[/C][/ROW]
[ROW][C]194[/C][C]12.15[/C][C]13.0839[/C][C]-0.933938[/C][/ROW]
[ROW][C]195[/C][C]12.6[/C][C]12.7453[/C][C]-0.145331[/C][/ROW]
[ROW][C]196[/C][C]10.35[/C][C]12.8282[/C][C]-2.47821[/C][/ROW]
[ROW][C]197[/C][C]15.4[/C][C]12.4871[/C][C]2.9129[/C][/ROW]
[ROW][C]198[/C][C]9.6[/C][C]13.1765[/C][C]-3.57645[/C][/ROW]
[ROW][C]199[/C][C]18.2[/C][C]12.8903[/C][C]5.30967[/C][/ROW]
[ROW][C]200[/C][C]13.6[/C][C]13.0399[/C][C]0.560092[/C][/ROW]
[ROW][C]201[/C][C]14.85[/C][C]13.7572[/C][C]1.0928[/C][/ROW]
[ROW][C]202[/C][C]14.75[/C][C]12.6106[/C][C]2.1394[/C][/ROW]
[ROW][C]203[/C][C]14.1[/C][C]13.0544[/C][C]1.04559[/C][/ROW]
[ROW][C]204[/C][C]14.9[/C][C]12.9535[/C][C]1.94653[/C][/ROW]
[ROW][C]205[/C][C]16.25[/C][C]13.3445[/C][C]2.90554[/C][/ROW]
[ROW][C]206[/C][C]19.25[/C][C]15.097[/C][C]4.15297[/C][/ROW]
[ROW][C]207[/C][C]13.6[/C][C]14.2866[/C][C]-0.686559[/C][/ROW]
[ROW][C]208[/C][C]13.6[/C][C]12.9764[/C][C]0.623625[/C][/ROW]
[ROW][C]209[/C][C]15.65[/C][C]12.9232[/C][C]2.72685[/C][/ROW]
[ROW][C]210[/C][C]12.75[/C][C]12.0043[/C][C]0.745747[/C][/ROW]
[ROW][C]211[/C][C]14.6[/C][C]11.8924[/C][C]2.70758[/C][/ROW]
[ROW][C]212[/C][C]9.85[/C][C]12.7775[/C][C]-2.92747[/C][/ROW]
[ROW][C]213[/C][C]12.65[/C][C]13.5438[/C][C]-0.893804[/C][/ROW]
[ROW][C]214[/C][C]11.9[/C][C]12.5032[/C][C]-0.603212[/C][/ROW]
[ROW][C]215[/C][C]19.2[/C][C]12.109[/C][C]7.09103[/C][/ROW]
[ROW][C]216[/C][C]16.6[/C][C]12.3123[/C][C]4.28773[/C][/ROW]
[ROW][C]217[/C][C]11.2[/C][C]12.9315[/C][C]-1.73147[/C][/ROW]
[ROW][C]218[/C][C]15.25[/C][C]13.0352[/C][C]2.2148[/C][/ROW]
[ROW][C]219[/C][C]11.9[/C][C]12.467[/C][C]-0.567028[/C][/ROW]
[ROW][C]220[/C][C]13.2[/C][C]12.5027[/C][C]0.697342[/C][/ROW]
[ROW][C]221[/C][C]16.35[/C][C]12.3623[/C][C]3.98769[/C][/ROW]
[ROW][C]222[/C][C]12.4[/C][C]13.3608[/C][C]-0.960836[/C][/ROW]
[ROW][C]223[/C][C]15.85[/C][C]12.6593[/C][C]3.19072[/C][/ROW]
[ROW][C]224[/C][C]14.35[/C][C]13.6081[/C][C]0.74193[/C][/ROW]
[ROW][C]225[/C][C]18.15[/C][C]12.8962[/C][C]5.25376[/C][/ROW]
[ROW][C]226[/C][C]11.15[/C][C]12.228[/C][C]-1.078[/C][/ROW]
[ROW][C]227[/C][C]15.65[/C][C]13.3641[/C][C]2.28595[/C][/ROW]
[ROW][C]228[/C][C]17.75[/C][C]12.1859[/C][C]5.56413[/C][/ROW]
[ROW][C]229[/C][C]7.65[/C][C]11.7805[/C][C]-4.13048[/C][/ROW]
[ROW][C]230[/C][C]12.35[/C][C]13.5537[/C][C]-1.20374[/C][/ROW]
[ROW][C]231[/C][C]15.6[/C][C]12.6212[/C][C]2.9788[/C][/ROW]
[ROW][C]232[/C][C]19.3[/C][C]12.5995[/C][C]6.70047[/C][/ROW]
[ROW][C]233[/C][C]15.2[/C][C]12.7555[/C][C]2.44451[/C][/ROW]
[ROW][C]234[/C][C]17.1[/C][C]13.399[/C][C]3.70103[/C][/ROW]
[ROW][C]235[/C][C]15.6[/C][C]12.6938[/C][C]2.90625[/C][/ROW]
[ROW][C]236[/C][C]18.4[/C][C]12.5938[/C][C]5.80617[/C][/ROW]
[ROW][C]237[/C][C]19.05[/C][C]12.9805[/C][C]6.06949[/C][/ROW]
[ROW][C]238[/C][C]18.55[/C][C]13.1835[/C][C]5.36648[/C][/ROW]
[ROW][C]239[/C][C]19.1[/C][C]13.1161[/C][C]5.98387[/C][/ROW]
[ROW][C]240[/C][C]13.1[/C][C]12.2577[/C][C]0.842293[/C][/ROW]
[ROW][C]241[/C][C]12.85[/C][C]12.4778[/C][C]0.372241[/C][/ROW]
[ROW][C]242[/C][C]9.5[/C][C]13.5411[/C][C]-4.04106[/C][/ROW]
[ROW][C]243[/C][C]4.5[/C][C]13.3245[/C][C]-8.82447[/C][/ROW]
[ROW][C]244[/C][C]11.85[/C][C]12.5317[/C][C]-0.681689[/C][/ROW]
[ROW][C]245[/C][C]13.6[/C][C]12.4669[/C][C]1.13306[/C][/ROW]
[ROW][C]246[/C][C]11.7[/C][C]15.3722[/C][C]-3.67217[/C][/ROW]
[ROW][C]247[/C][C]12.4[/C][C]12.7447[/C][C]-0.344668[/C][/ROW]
[ROW][C]248[/C][C]13.35[/C][C]13.3253[/C][C]0.0246805[/C][/ROW]
[ROW][C]249[/C][C]11.4[/C][C]11.678[/C][C]-0.278007[/C][/ROW]
[ROW][C]250[/C][C]14.9[/C][C]13.0459[/C][C]1.85415[/C][/ROW]
[ROW][C]251[/C][C]19.9[/C][C]13.2448[/C][C]6.65516[/C][/ROW]
[ROW][C]252[/C][C]17.75[/C][C]13.5827[/C][C]4.16733[/C][/ROW]
[ROW][C]253[/C][C]11.2[/C][C]13.5407[/C][C]-2.34074[/C][/ROW]
[ROW][C]254[/C][C]14.6[/C][C]12.0666[/C][C]2.53342[/C][/ROW]
[ROW][C]255[/C][C]17.6[/C][C]13.2618[/C][C]4.33821[/C][/ROW]
[ROW][C]256[/C][C]14.05[/C][C]12.3194[/C][C]1.73063[/C][/ROW]
[ROW][C]257[/C][C]16.1[/C][C]12.9606[/C][C]3.13941[/C][/ROW]
[ROW][C]258[/C][C]13.35[/C][C]13.2717[/C][C]0.0782691[/C][/ROW]
[ROW][C]259[/C][C]11.85[/C][C]12.5783[/C][C]-0.728253[/C][/ROW]
[ROW][C]260[/C][C]11.95[/C][C]13.2396[/C][C]-1.28957[/C][/ROW]
[ROW][C]261[/C][C]14.75[/C][C]12.6876[/C][C]2.06242[/C][/ROW]
[ROW][C]262[/C][C]15.15[/C][C]12.2709[/C][C]2.87908[/C][/ROW]
[ROW][C]263[/C][C]13.2[/C][C]12.4396[/C][C]0.760352[/C][/ROW]
[ROW][C]264[/C][C]16.85[/C][C]12.9927[/C][C]3.85731[/C][/ROW]
[ROW][C]265[/C][C]7.85[/C][C]12.4245[/C][C]-4.57446[/C][/ROW]
[ROW][C]266[/C][C]7.7[/C][C]12.3496[/C][C]-4.64957[/C][/ROW]
[ROW][C]267[/C][C]12.6[/C][C]12.6525[/C][C]-0.0524776[/C][/ROW]
[ROW][C]268[/C][C]7.85[/C][C]13.2646[/C][C]-5.41464[/C][/ROW]
[ROW][C]269[/C][C]10.95[/C][C]13.4676[/C][C]-2.51761[/C][/ROW]
[ROW][C]270[/C][C]12.35[/C][C]12.3504[/C][C]-0.000370841[/C][/ROW]
[ROW][C]271[/C][C]9.95[/C][C]13.0493[/C][C]-3.09929[/C][/ROW]
[ROW][C]272[/C][C]14.9[/C][C]12.6758[/C][C]2.22419[/C][/ROW]
[ROW][C]273[/C][C]16.65[/C][C]12.7625[/C][C]3.88753[/C][/ROW]
[ROW][C]274[/C][C]13.4[/C][C]13.7275[/C][C]-0.327494[/C][/ROW]
[ROW][C]275[/C][C]13.95[/C][C]13.2029[/C][C]0.747131[/C][/ROW]
[ROW][C]276[/C][C]15.7[/C][C]11.86[/C][C]3.83998[/C][/ROW]
[ROW][C]277[/C][C]16.85[/C][C]13.2136[/C][C]3.63639[/C][/ROW]
[ROW][C]278[/C][C]10.95[/C][C]12.7079[/C][C]-1.75795[/C][/ROW]
[ROW][C]279[/C][C]15.35[/C][C]12.4016[/C][C]2.9484[/C][/ROW]
[ROW][C]280[/C][C]12.2[/C][C]12.817[/C][C]-0.617012[/C][/ROW]
[ROW][C]281[/C][C]15.1[/C][C]12.4801[/C][C]2.61991[/C][/ROW]
[ROW][C]282[/C][C]17.75[/C][C]12.8243[/C][C]4.92573[/C][/ROW]
[ROW][C]283[/C][C]15.2[/C][C]13.0487[/C][C]2.15126[/C][/ROW]
[ROW][C]284[/C][C]14.6[/C][C]13.583[/C][C]1.01704[/C][/ROW]
[ROW][C]285[/C][C]16.65[/C][C]12.5587[/C][C]4.09134[/C][/ROW]
[ROW][C]286[/C][C]8.1[/C][C]12.367[/C][C]-4.26695[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270366&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270366&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
112.913.4234-0.523418
27.412.4591-5.0591
312.213.1462-0.946203
412.813.4692-0.669196
57.412.9283-5.52834
66.713.6806-6.9806
712.612.9334-0.33338
814.812.08992.7101
913.313.4957-0.195692
1011.112.0902-0.99018
118.214.9384-6.73837
1211.412.8271-1.42707
136.413.225-6.82504
1410.611.8926-1.29259
151212.8763-0.876272
166.312.8174-6.51738
1711.312.254-0.953988
1811.912.7602-0.860213
199.312.7017-3.4017
209.613.1798-3.57976
211012.2407-2.24072
226.412.9821-6.58215
2313.812.69241.1076
2410.812.5042-1.70416
2513.812.47531.32468
2611.712.9549-1.25488
2710.912.5574-1.65738
2816.112.38363.71644
2913.413.1220.27802
309.912.8907-2.99073
3111.512.4628-0.962792
328.312.504-4.20395
3311.713.2023-1.50227
346.113.1851-7.08509
35912.3786-3.37861
369.711.8261-2.12611
3710.812.6145-1.81452
3810.313.4285-3.12853
3910.412.8085-2.40848
4012.712.8998-0.199808
419.313.5061-4.20606
4211.812.3606-0.560646
435.913.7539-7.85393
4411.413.4449-2.0449
451312.84030.15967
4610.811.5284-0.72837
4712.312.3887-0.0886517
4811.313.01-1.71001
4911.813.4659-1.66595
507.912.8135-4.91355
5112.712.4020.297953
5212.313.6052-1.30521
5311.612.6013-1.00128
546.712.8584-6.15838
5510.913.0857-2.18567
5612.112.7927-0.692669
5713.313.28390.0161388
5810.112.707-2.60704
595.712.4578-6.75778
6014.312.56341.73664
61813.0271-5.02711
6213.313.4062-0.106174
639.313.4987-4.19869
6412.512.6984-0.198447
657.611.8009-4.20091
6615.913.23242.6676
679.212.8277-3.62773
689.112.8245-3.72451
6911.112.4607-1.36067
701313.6227-0.62273
7114.512.87211.62793
7212.212.9718-0.771771
7312.313.0424-0.742414
7411.412.8009-1.40091
758.813.3041-4.50412
7614.613.81360.786385
777.312.7398-5.43984
7812.612.01110.588881
791312.67270.327252
8012.613.096-0.495972
8113.213.67-0.470037
829.912.6018-2.70182
837.712.4797-4.77969
8410.512.6496-2.14965
8513.412.38851.01149
8610.912.8711-1.97108
874.312.259-7.95898
8810.313.3373-3.03733
8911.813.092-1.292
9011.212.8837-1.68367
9111.412.5482-1.14824
928.612.8254-4.22535
9313.212.50550.694507
9412.613.0945-0.494462
955.612.3628-6.76278
969.912.9228-3.02279
978.812.6786-3.87859
987.713.3271-5.6271
99912.8064-3.80641
1007.312.9184-5.61841
10111.412.7596-1.35958
10213.613.06790.532122
1037.912.5076-4.60761
10410.712.6569-1.95691
10510.312.4495-2.14949
1068.311.9797-3.6797
1079.612.4764-2.87641
10814.213.43960.760381
1098.513.1294-4.62937
11013.512.90270.597274
1114.912.4485-7.54848
1126.412.7182-6.31823
1139.613.646-4.04604
11411.613.0491-1.44911
11511.112.8047-1.70469
1164.3513.9513-9.60126
11712.712.8189-0.118925
11818.113.1494.95103
11917.8512.77395.07611
12016.613.53683.06323
12112.612.9491-0.349073
12217.113.68873.41131
12319.113.36785.73223
12416.113.09623.00382
12513.3512.92870.421315
12618.413.78884.61121
12714.712.41872.28126
12810.613.1712-2.57118
12912.612.9545-0.354497
13016.212.52483.67523
13113.612.83330.766666
13218.913.0785.82201
13314.112.80541.2946
13414.512.84891.65113
13516.1512.71183.43823
13614.7512.742.00996
13714.813.02811.77195
13812.4512.5719-0.121922
13912.6513.5791-0.929128
14017.3512.95054.39948
1418.613.0161-4.41605
14218.412.74485.65518
14316.114.51831.58166
14411.612.4266-0.826626
14517.7513.04324.70685
14615.2512.79922.45085
14717.6512.91594.73408
14815.613.71271.88725
14916.3513.09833.2517
15017.6513.98813.66193
15113.614.7108-1.11082
15211.713.244-1.544
15314.3513.70310.646937
15414.7513.25431.49572
15518.2513.21915.03087
1569.912.5636-2.66355
1571613.64932.35073
15818.2513.6314.61896
15916.8512.88383.96618
16014.613.09741.50259
16113.8513.40290.447085
16218.9513.6595.29098
16315.612.87762.72242
16414.8513.74211.10789
16511.7512.5467-0.796736
16618.4513.12315.32687
16715.912.63653.26346
16817.112.91484.18523
16916.113.76222.33781
17019.914.72655.17348
17110.9512.3217-1.37166
17218.4512.2846.16597
17315.113.28521.81484
1741513.42211.57791
17511.3512.5617-1.21166
17615.9512.84333.10674
17718.112.98235.11767
17814.612.88651.71348
17915.413.76721.6328
18015.413.43221.96782
18117.612.21175.38834
18213.3513.6394-0.289383
18319.112.42146.67864
18415.3513.06612.28385
1857.612.3123-4.71233
18613.413.39920.000797857
18713.913.35750.542462
18819.113.26735.8327
18915.2512.50072.74926
19012.912.66690.233143
19116.112.79133.30874
19217.3512.93334.41668
19313.1512.88020.26982
19412.1513.0839-0.933938
19512.612.7453-0.145331
19610.3512.8282-2.47821
19715.412.48712.9129
1989.613.1765-3.57645
19918.212.89035.30967
20013.613.03990.560092
20114.8513.75721.0928
20214.7512.61062.1394
20314.113.05441.04559
20414.912.95351.94653
20516.2513.34452.90554
20619.2515.0974.15297
20713.614.2866-0.686559
20813.612.97640.623625
20915.6512.92322.72685
21012.7512.00430.745747
21114.611.89242.70758
2129.8512.7775-2.92747
21312.6513.5438-0.893804
21411.912.5032-0.603212
21519.212.1097.09103
21616.612.31234.28773
21711.212.9315-1.73147
21815.2513.03522.2148
21911.912.467-0.567028
22013.212.50270.697342
22116.3512.36233.98769
22212.413.3608-0.960836
22315.8512.65933.19072
22414.3513.60810.74193
22518.1512.89625.25376
22611.1512.228-1.078
22715.6513.36412.28595
22817.7512.18595.56413
2297.6511.7805-4.13048
23012.3513.5537-1.20374
23115.612.62122.9788
23219.312.59956.70047
23315.212.75552.44451
23417.113.3993.70103
23515.612.69382.90625
23618.412.59385.80617
23719.0512.98056.06949
23818.5513.18355.36648
23919.113.11615.98387
24013.112.25770.842293
24112.8512.47780.372241
2429.513.5411-4.04106
2434.513.3245-8.82447
24411.8512.5317-0.681689
24513.612.46691.13306
24611.715.3722-3.67217
24712.412.7447-0.344668
24813.3513.32530.0246805
24911.411.678-0.278007
25014.913.04591.85415
25119.913.24486.65516
25217.7513.58274.16733
25311.213.5407-2.34074
25414.612.06662.53342
25517.613.26184.33821
25614.0512.31941.73063
25716.112.96063.13941
25813.3513.27170.0782691
25911.8512.5783-0.728253
26011.9513.2396-1.28957
26114.7512.68762.06242
26215.1512.27092.87908
26313.212.43960.760352
26416.8512.99273.85731
2657.8512.4245-4.57446
2667.712.3496-4.64957
26712.612.6525-0.0524776
2687.8513.2646-5.41464
26910.9513.4676-2.51761
27012.3512.3504-0.000370841
2719.9513.0493-3.09929
27214.912.67582.22419
27316.6512.76253.88753
27413.413.7275-0.327494
27513.9513.20290.747131
27615.711.863.83998
27716.8513.21363.63639
27810.9512.7079-1.75795
27915.3512.40162.9484
28012.212.817-0.617012
28115.112.48012.61991
28217.7512.82434.92573
28315.213.04872.15126
28414.613.5831.01704
28516.6512.55874.09134
2868.112.367-4.26695






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.657990.684020.34201
110.5072450.9855090.492755
120.3668440.7336880.633156
130.3992040.7984090.600796
140.3057960.6115930.694204
150.2139810.4279620.786019
160.2318850.4637690.768115
170.1645650.3291290.835435
180.1232550.246510.876745
190.08592180.1718440.914078
200.05689320.1137860.943107
210.04120580.08241170.958794
220.02762150.0552430.972378
230.02290520.04581030.977095
240.01466660.02933320.985333
250.02060320.04120650.979397
260.01347680.02695350.986523
270.008206330.01641270.991794
280.01077360.02154730.989226
290.007321690.01464340.992678
300.004773330.009546670.995227
310.002835810.005671620.997164
320.007803610.01560720.992196
330.004938810.009877620.995061
340.003607680.007215370.996392
350.004100580.008201170.995899
360.01019030.02038050.98981
370.006907520.0138150.993092
380.00521360.01042720.994786
390.003461630.006923250.996538
400.002223660.004447330.997776
410.001697620.003395240.998302
420.00110050.002201010.998899
430.002502890.005005790.997497
440.002124920.004249840.997875
450.002347650.004695290.997652
460.002298390.004596790.997702
470.001503910.003007810.998496
480.001113810.002227610.998886
490.0008662330.001732470.999134
500.0007271580.001454320.999273
510.0006442710.001288540.999356
520.0007641170.001528230.999236
530.0005535180.001107040.999446
540.001705620.003411240.998294
550.001246530.002493060.998753
560.001200230.002400460.9988
570.001289450.002578890.998711
580.0009356220.001871240.999064
590.00221460.00442920.997785
600.00181160.003623190.998188
610.001896870.003793740.998103
620.002398530.004797060.997601
630.001971540.003943080.998028
640.001698850.003397710.998301
650.002942680.005885370.997057
660.005283540.01056710.994716
670.004992680.009985360.995007
680.00438320.00876640.995617
690.003242720.006485440.996757
700.00297640.005952790.997024
710.003516680.007033360.996483
720.002795910.005591830.997204
730.00204040.004080810.99796
740.001510190.003020380.99849
750.001501240.003002480.998499
760.00161270.00322540.998387
770.002147920.004295830.997852
780.001719470.003438950.998281
790.001618060.003236130.998382
800.001283790.002567570.998716
810.001205980.002411960.998794
820.001016470.002032930.998984
830.001218090.002436190.998782
840.0009250060.001850010.999075
850.0008572520.00171450.999143
860.0006916860.001383370.999308
870.003664960.007329920.996335
880.00304780.006095610.996952
890.002403630.004807260.997596
900.001872660.003745310.998127
910.001546120.003092240.998454
920.00164050.0032810.99836
930.001524840.003049680.998475
940.001211520.002423040.998788
950.003196680.006393370.996803
960.002769180.005538360.997231
970.002647660.005295320.997352
980.003354980.006709960.996645
990.003378410.006756820.996622
1000.004919390.009838790.995081
1010.004068140.008136270.995932
1020.003664690.007329370.996335
1030.004252150.008504290.995748
1040.003543980.007087960.996456
1050.003018860.006037730.996981
1060.003311960.006623920.996688
1070.002983870.005967740.997016
1080.003217660.006435320.996782
1090.003640010.007280020.99636
1100.003833930.007667850.996166
1110.01131630.02263270.988684
1120.02084160.04168310.979158
1130.02222290.04444570.977777
1140.02006060.04012130.979939
1150.01778690.03557380.982213
1160.08526730.1705350.914733
1170.08664360.1732870.913356
1180.1581680.3163360.841832
1190.2500320.5000640.749968
1200.3030530.6061060.696947
1210.2812410.5624810.718759
1220.3473410.6946820.652659
1230.4764970.9529940.523503
1240.5061430.9877130.493857
1250.4963430.9926860.503657
1260.5799730.8400530.420027
1270.5827640.8344720.417236
1280.5803140.8393710.419686
1290.5564040.8871930.443596
1300.5917680.8164650.408232
1310.5699480.8601040.430052
1320.674540.650920.32546
1330.6635990.6728020.336401
1340.6505180.6989640.349482
1350.663790.672420.33621
1360.6539090.6921810.346091
1370.6473740.7052520.352626
1380.6294110.7411780.370589
1390.606270.787460.39373
1400.6476550.7046890.352345
1410.6898270.6203460.310173
1420.7687310.4625390.231269
1430.7594010.4811970.240599
1440.7362730.5274540.263727
1450.776660.446680.22334
1460.7707020.4585960.229298
1470.8045220.3909570.195478
1480.7900980.4198040.209902
1490.7938520.4122950.206148
1500.8034040.3931910.196596
1510.7865240.4269520.213476
1520.7774350.4451290.222565
1530.757830.484340.24217
1540.7424550.5150890.257545
1550.7840720.4318570.215928
1560.7833860.4332270.216614
1570.7708370.4583270.229163
1580.7953560.4092890.204644
1590.8041460.3917080.195854
1600.7856260.4287470.214374
1610.7623650.475270.237635
1620.7997310.4005390.200269
1630.793280.413440.20672
1640.7708520.4582960.229148
1650.7557980.4884040.244202
1660.7932840.4134310.206716
1670.7899380.4201250.210062
1680.798790.402420.20121
1690.7848560.4302870.215144
1700.8174520.3650960.182548
1710.8006180.3987640.199382
1720.8490330.3019340.150967
1730.8325760.3348490.167424
1740.8132290.3735410.186771
1750.8005980.3988040.199402
1760.7934870.4130250.206513
1770.8234570.3530860.176543
1780.8048290.3903410.195171
1790.7846670.4306660.215333
1800.7648960.4702070.235104
1810.7965010.4069980.203499
1820.7717330.4565340.228267
1830.8318290.3363430.168171
1840.8158230.3683540.184177
1850.8550230.2899540.144977
1860.8334470.3331060.166553
1870.8100530.3798950.189947
1880.8571840.2856320.142816
1890.8466920.3066170.153308
1900.8268120.3463760.173188
1910.8198830.3602340.180117
1920.8336760.3326470.166324
1930.8095880.3808240.190412
1940.7865080.4269840.213492
1950.759950.48010.24005
1960.7584150.483170.241585
1970.7434420.5131160.256558
1980.76390.47220.2361
1990.7893090.4213830.210691
2000.7633880.4732230.236612
2010.7342650.531470.265735
2020.7107170.5785660.289283
2030.6799780.6400430.320022
2040.6506020.6987960.349398
2050.6295290.7409430.370471
2060.7064730.5870530.293527
2070.6727230.6545530.327277
2080.6389370.7221260.361063
2090.617720.764560.38228
2100.5877810.8244380.412219
2110.5643550.8712910.435645
2120.590570.8188610.40943
2130.5555840.8888320.444416
2140.5317420.9365150.468258
2150.5866480.8267030.413352
2160.5845610.8308770.415439
2170.5661430.8677150.433857
2180.5390380.9219230.460962
2190.5172560.9654880.482744
2200.4791750.9583510.520825
2210.4667860.9335720.533214
2220.4276410.8552820.572359
2230.4088630.8177260.591137
2240.3703290.7406570.629671
2250.3952740.7905470.604726
2260.3691070.7382130.630893
2270.3415280.6830560.658472
2280.3588220.7176440.641178
2290.4426480.8852960.557352
2300.4026480.8052960.597352
2310.3792080.7584160.620792
2320.463480.926960.53652
2330.4377850.8755690.562215
2340.4210470.8420930.578953
2350.3893710.7787420.610629
2360.4408360.8816710.559164
2370.5293260.9413480.470674
2380.6323030.7353930.367697
2390.7099160.5801680.290084
2400.6687780.6624440.331222
2410.622240.755520.37776
2420.6208620.7582770.379138
2430.8692070.2615850.130793
2440.8468160.3063680.153184
2450.8139360.3721280.186064
2460.84060.3188010.1594
2470.8253580.3492840.174642
2480.7895750.420850.210425
2490.7569650.486070.243035
2500.7222190.5555630.277781
2510.8117320.3765370.188268
2520.8346710.3306580.165329
2530.8092340.3815320.190766
2540.7690020.4619960.230998
2550.7606050.4787890.239395
2560.7127230.5745540.287277
2570.6865080.6269840.313492
2580.6272330.7455340.372767
2590.5796630.8406750.420337
2600.5169630.9660740.483037
2610.4542820.9085640.545718
2620.5480940.9038130.451906
2630.5989660.8020690.401034
2640.5756420.8487160.424358
2650.7871440.4257120.212856
2660.9114130.1771730.0885867
2670.8689050.262190.131095
2680.96790.0642010.0321005
2690.9662010.0675970.0337985
2700.9654660.06906720.0345336
2710.9434270.1131460.056573
2720.9128210.1743580.087179
2730.8915440.2169130.108456
2740.9717420.05651570.0282578
2750.9367810.1264380.0632191
2760.9640550.07188960.0359448

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.65799 & 0.68402 & 0.34201 \tabularnewline
11 & 0.507245 & 0.985509 & 0.492755 \tabularnewline
12 & 0.366844 & 0.733688 & 0.633156 \tabularnewline
13 & 0.399204 & 0.798409 & 0.600796 \tabularnewline
14 & 0.305796 & 0.611593 & 0.694204 \tabularnewline
15 & 0.213981 & 0.427962 & 0.786019 \tabularnewline
16 & 0.231885 & 0.463769 & 0.768115 \tabularnewline
17 & 0.164565 & 0.329129 & 0.835435 \tabularnewline
18 & 0.123255 & 0.24651 & 0.876745 \tabularnewline
19 & 0.0859218 & 0.171844 & 0.914078 \tabularnewline
20 & 0.0568932 & 0.113786 & 0.943107 \tabularnewline
21 & 0.0412058 & 0.0824117 & 0.958794 \tabularnewline
22 & 0.0276215 & 0.055243 & 0.972378 \tabularnewline
23 & 0.0229052 & 0.0458103 & 0.977095 \tabularnewline
24 & 0.0146666 & 0.0293332 & 0.985333 \tabularnewline
25 & 0.0206032 & 0.0412065 & 0.979397 \tabularnewline
26 & 0.0134768 & 0.0269535 & 0.986523 \tabularnewline
27 & 0.00820633 & 0.0164127 & 0.991794 \tabularnewline
28 & 0.0107736 & 0.0215473 & 0.989226 \tabularnewline
29 & 0.00732169 & 0.0146434 & 0.992678 \tabularnewline
30 & 0.00477333 & 0.00954667 & 0.995227 \tabularnewline
31 & 0.00283581 & 0.00567162 & 0.997164 \tabularnewline
32 & 0.00780361 & 0.0156072 & 0.992196 \tabularnewline
33 & 0.00493881 & 0.00987762 & 0.995061 \tabularnewline
34 & 0.00360768 & 0.00721537 & 0.996392 \tabularnewline
35 & 0.00410058 & 0.00820117 & 0.995899 \tabularnewline
36 & 0.0101903 & 0.0203805 & 0.98981 \tabularnewline
37 & 0.00690752 & 0.013815 & 0.993092 \tabularnewline
38 & 0.0052136 & 0.0104272 & 0.994786 \tabularnewline
39 & 0.00346163 & 0.00692325 & 0.996538 \tabularnewline
40 & 0.00222366 & 0.00444733 & 0.997776 \tabularnewline
41 & 0.00169762 & 0.00339524 & 0.998302 \tabularnewline
42 & 0.0011005 & 0.00220101 & 0.998899 \tabularnewline
43 & 0.00250289 & 0.00500579 & 0.997497 \tabularnewline
44 & 0.00212492 & 0.00424984 & 0.997875 \tabularnewline
45 & 0.00234765 & 0.00469529 & 0.997652 \tabularnewline
46 & 0.00229839 & 0.00459679 & 0.997702 \tabularnewline
47 & 0.00150391 & 0.00300781 & 0.998496 \tabularnewline
48 & 0.00111381 & 0.00222761 & 0.998886 \tabularnewline
49 & 0.000866233 & 0.00173247 & 0.999134 \tabularnewline
50 & 0.000727158 & 0.00145432 & 0.999273 \tabularnewline
51 & 0.000644271 & 0.00128854 & 0.999356 \tabularnewline
52 & 0.000764117 & 0.00152823 & 0.999236 \tabularnewline
53 & 0.000553518 & 0.00110704 & 0.999446 \tabularnewline
54 & 0.00170562 & 0.00341124 & 0.998294 \tabularnewline
55 & 0.00124653 & 0.00249306 & 0.998753 \tabularnewline
56 & 0.00120023 & 0.00240046 & 0.9988 \tabularnewline
57 & 0.00128945 & 0.00257889 & 0.998711 \tabularnewline
58 & 0.000935622 & 0.00187124 & 0.999064 \tabularnewline
59 & 0.0022146 & 0.0044292 & 0.997785 \tabularnewline
60 & 0.0018116 & 0.00362319 & 0.998188 \tabularnewline
61 & 0.00189687 & 0.00379374 & 0.998103 \tabularnewline
62 & 0.00239853 & 0.00479706 & 0.997601 \tabularnewline
63 & 0.00197154 & 0.00394308 & 0.998028 \tabularnewline
64 & 0.00169885 & 0.00339771 & 0.998301 \tabularnewline
65 & 0.00294268 & 0.00588537 & 0.997057 \tabularnewline
66 & 0.00528354 & 0.0105671 & 0.994716 \tabularnewline
67 & 0.00499268 & 0.00998536 & 0.995007 \tabularnewline
68 & 0.0043832 & 0.0087664 & 0.995617 \tabularnewline
69 & 0.00324272 & 0.00648544 & 0.996757 \tabularnewline
70 & 0.0029764 & 0.00595279 & 0.997024 \tabularnewline
71 & 0.00351668 & 0.00703336 & 0.996483 \tabularnewline
72 & 0.00279591 & 0.00559183 & 0.997204 \tabularnewline
73 & 0.0020404 & 0.00408081 & 0.99796 \tabularnewline
74 & 0.00151019 & 0.00302038 & 0.99849 \tabularnewline
75 & 0.00150124 & 0.00300248 & 0.998499 \tabularnewline
76 & 0.0016127 & 0.0032254 & 0.998387 \tabularnewline
77 & 0.00214792 & 0.00429583 & 0.997852 \tabularnewline
78 & 0.00171947 & 0.00343895 & 0.998281 \tabularnewline
79 & 0.00161806 & 0.00323613 & 0.998382 \tabularnewline
80 & 0.00128379 & 0.00256757 & 0.998716 \tabularnewline
81 & 0.00120598 & 0.00241196 & 0.998794 \tabularnewline
82 & 0.00101647 & 0.00203293 & 0.998984 \tabularnewline
83 & 0.00121809 & 0.00243619 & 0.998782 \tabularnewline
84 & 0.000925006 & 0.00185001 & 0.999075 \tabularnewline
85 & 0.000857252 & 0.0017145 & 0.999143 \tabularnewline
86 & 0.000691686 & 0.00138337 & 0.999308 \tabularnewline
87 & 0.00366496 & 0.00732992 & 0.996335 \tabularnewline
88 & 0.0030478 & 0.00609561 & 0.996952 \tabularnewline
89 & 0.00240363 & 0.00480726 & 0.997596 \tabularnewline
90 & 0.00187266 & 0.00374531 & 0.998127 \tabularnewline
91 & 0.00154612 & 0.00309224 & 0.998454 \tabularnewline
92 & 0.0016405 & 0.003281 & 0.99836 \tabularnewline
93 & 0.00152484 & 0.00304968 & 0.998475 \tabularnewline
94 & 0.00121152 & 0.00242304 & 0.998788 \tabularnewline
95 & 0.00319668 & 0.00639337 & 0.996803 \tabularnewline
96 & 0.00276918 & 0.00553836 & 0.997231 \tabularnewline
97 & 0.00264766 & 0.00529532 & 0.997352 \tabularnewline
98 & 0.00335498 & 0.00670996 & 0.996645 \tabularnewline
99 & 0.00337841 & 0.00675682 & 0.996622 \tabularnewline
100 & 0.00491939 & 0.00983879 & 0.995081 \tabularnewline
101 & 0.00406814 & 0.00813627 & 0.995932 \tabularnewline
102 & 0.00366469 & 0.00732937 & 0.996335 \tabularnewline
103 & 0.00425215 & 0.00850429 & 0.995748 \tabularnewline
104 & 0.00354398 & 0.00708796 & 0.996456 \tabularnewline
105 & 0.00301886 & 0.00603773 & 0.996981 \tabularnewline
106 & 0.00331196 & 0.00662392 & 0.996688 \tabularnewline
107 & 0.00298387 & 0.00596774 & 0.997016 \tabularnewline
108 & 0.00321766 & 0.00643532 & 0.996782 \tabularnewline
109 & 0.00364001 & 0.00728002 & 0.99636 \tabularnewline
110 & 0.00383393 & 0.00766785 & 0.996166 \tabularnewline
111 & 0.0113163 & 0.0226327 & 0.988684 \tabularnewline
112 & 0.0208416 & 0.0416831 & 0.979158 \tabularnewline
113 & 0.0222229 & 0.0444457 & 0.977777 \tabularnewline
114 & 0.0200606 & 0.0401213 & 0.979939 \tabularnewline
115 & 0.0177869 & 0.0355738 & 0.982213 \tabularnewline
116 & 0.0852673 & 0.170535 & 0.914733 \tabularnewline
117 & 0.0866436 & 0.173287 & 0.913356 \tabularnewline
118 & 0.158168 & 0.316336 & 0.841832 \tabularnewline
119 & 0.250032 & 0.500064 & 0.749968 \tabularnewline
120 & 0.303053 & 0.606106 & 0.696947 \tabularnewline
121 & 0.281241 & 0.562481 & 0.718759 \tabularnewline
122 & 0.347341 & 0.694682 & 0.652659 \tabularnewline
123 & 0.476497 & 0.952994 & 0.523503 \tabularnewline
124 & 0.506143 & 0.987713 & 0.493857 \tabularnewline
125 & 0.496343 & 0.992686 & 0.503657 \tabularnewline
126 & 0.579973 & 0.840053 & 0.420027 \tabularnewline
127 & 0.582764 & 0.834472 & 0.417236 \tabularnewline
128 & 0.580314 & 0.839371 & 0.419686 \tabularnewline
129 & 0.556404 & 0.887193 & 0.443596 \tabularnewline
130 & 0.591768 & 0.816465 & 0.408232 \tabularnewline
131 & 0.569948 & 0.860104 & 0.430052 \tabularnewline
132 & 0.67454 & 0.65092 & 0.32546 \tabularnewline
133 & 0.663599 & 0.672802 & 0.336401 \tabularnewline
134 & 0.650518 & 0.698964 & 0.349482 \tabularnewline
135 & 0.66379 & 0.67242 & 0.33621 \tabularnewline
136 & 0.653909 & 0.692181 & 0.346091 \tabularnewline
137 & 0.647374 & 0.705252 & 0.352626 \tabularnewline
138 & 0.629411 & 0.741178 & 0.370589 \tabularnewline
139 & 0.60627 & 0.78746 & 0.39373 \tabularnewline
140 & 0.647655 & 0.704689 & 0.352345 \tabularnewline
141 & 0.689827 & 0.620346 & 0.310173 \tabularnewline
142 & 0.768731 & 0.462539 & 0.231269 \tabularnewline
143 & 0.759401 & 0.481197 & 0.240599 \tabularnewline
144 & 0.736273 & 0.527454 & 0.263727 \tabularnewline
145 & 0.77666 & 0.44668 & 0.22334 \tabularnewline
146 & 0.770702 & 0.458596 & 0.229298 \tabularnewline
147 & 0.804522 & 0.390957 & 0.195478 \tabularnewline
148 & 0.790098 & 0.419804 & 0.209902 \tabularnewline
149 & 0.793852 & 0.412295 & 0.206148 \tabularnewline
150 & 0.803404 & 0.393191 & 0.196596 \tabularnewline
151 & 0.786524 & 0.426952 & 0.213476 \tabularnewline
152 & 0.777435 & 0.445129 & 0.222565 \tabularnewline
153 & 0.75783 & 0.48434 & 0.24217 \tabularnewline
154 & 0.742455 & 0.515089 & 0.257545 \tabularnewline
155 & 0.784072 & 0.431857 & 0.215928 \tabularnewline
156 & 0.783386 & 0.433227 & 0.216614 \tabularnewline
157 & 0.770837 & 0.458327 & 0.229163 \tabularnewline
158 & 0.795356 & 0.409289 & 0.204644 \tabularnewline
159 & 0.804146 & 0.391708 & 0.195854 \tabularnewline
160 & 0.785626 & 0.428747 & 0.214374 \tabularnewline
161 & 0.762365 & 0.47527 & 0.237635 \tabularnewline
162 & 0.799731 & 0.400539 & 0.200269 \tabularnewline
163 & 0.79328 & 0.41344 & 0.20672 \tabularnewline
164 & 0.770852 & 0.458296 & 0.229148 \tabularnewline
165 & 0.755798 & 0.488404 & 0.244202 \tabularnewline
166 & 0.793284 & 0.413431 & 0.206716 \tabularnewline
167 & 0.789938 & 0.420125 & 0.210062 \tabularnewline
168 & 0.79879 & 0.40242 & 0.20121 \tabularnewline
169 & 0.784856 & 0.430287 & 0.215144 \tabularnewline
170 & 0.817452 & 0.365096 & 0.182548 \tabularnewline
171 & 0.800618 & 0.398764 & 0.199382 \tabularnewline
172 & 0.849033 & 0.301934 & 0.150967 \tabularnewline
173 & 0.832576 & 0.334849 & 0.167424 \tabularnewline
174 & 0.813229 & 0.373541 & 0.186771 \tabularnewline
175 & 0.800598 & 0.398804 & 0.199402 \tabularnewline
176 & 0.793487 & 0.413025 & 0.206513 \tabularnewline
177 & 0.823457 & 0.353086 & 0.176543 \tabularnewline
178 & 0.804829 & 0.390341 & 0.195171 \tabularnewline
179 & 0.784667 & 0.430666 & 0.215333 \tabularnewline
180 & 0.764896 & 0.470207 & 0.235104 \tabularnewline
181 & 0.796501 & 0.406998 & 0.203499 \tabularnewline
182 & 0.771733 & 0.456534 & 0.228267 \tabularnewline
183 & 0.831829 & 0.336343 & 0.168171 \tabularnewline
184 & 0.815823 & 0.368354 & 0.184177 \tabularnewline
185 & 0.855023 & 0.289954 & 0.144977 \tabularnewline
186 & 0.833447 & 0.333106 & 0.166553 \tabularnewline
187 & 0.810053 & 0.379895 & 0.189947 \tabularnewline
188 & 0.857184 & 0.285632 & 0.142816 \tabularnewline
189 & 0.846692 & 0.306617 & 0.153308 \tabularnewline
190 & 0.826812 & 0.346376 & 0.173188 \tabularnewline
191 & 0.819883 & 0.360234 & 0.180117 \tabularnewline
192 & 0.833676 & 0.332647 & 0.166324 \tabularnewline
193 & 0.809588 & 0.380824 & 0.190412 \tabularnewline
194 & 0.786508 & 0.426984 & 0.213492 \tabularnewline
195 & 0.75995 & 0.4801 & 0.24005 \tabularnewline
196 & 0.758415 & 0.48317 & 0.241585 \tabularnewline
197 & 0.743442 & 0.513116 & 0.256558 \tabularnewline
198 & 0.7639 & 0.4722 & 0.2361 \tabularnewline
199 & 0.789309 & 0.421383 & 0.210691 \tabularnewline
200 & 0.763388 & 0.473223 & 0.236612 \tabularnewline
201 & 0.734265 & 0.53147 & 0.265735 \tabularnewline
202 & 0.710717 & 0.578566 & 0.289283 \tabularnewline
203 & 0.679978 & 0.640043 & 0.320022 \tabularnewline
204 & 0.650602 & 0.698796 & 0.349398 \tabularnewline
205 & 0.629529 & 0.740943 & 0.370471 \tabularnewline
206 & 0.706473 & 0.587053 & 0.293527 \tabularnewline
207 & 0.672723 & 0.654553 & 0.327277 \tabularnewline
208 & 0.638937 & 0.722126 & 0.361063 \tabularnewline
209 & 0.61772 & 0.76456 & 0.38228 \tabularnewline
210 & 0.587781 & 0.824438 & 0.412219 \tabularnewline
211 & 0.564355 & 0.871291 & 0.435645 \tabularnewline
212 & 0.59057 & 0.818861 & 0.40943 \tabularnewline
213 & 0.555584 & 0.888832 & 0.444416 \tabularnewline
214 & 0.531742 & 0.936515 & 0.468258 \tabularnewline
215 & 0.586648 & 0.826703 & 0.413352 \tabularnewline
216 & 0.584561 & 0.830877 & 0.415439 \tabularnewline
217 & 0.566143 & 0.867715 & 0.433857 \tabularnewline
218 & 0.539038 & 0.921923 & 0.460962 \tabularnewline
219 & 0.517256 & 0.965488 & 0.482744 \tabularnewline
220 & 0.479175 & 0.958351 & 0.520825 \tabularnewline
221 & 0.466786 & 0.933572 & 0.533214 \tabularnewline
222 & 0.427641 & 0.855282 & 0.572359 \tabularnewline
223 & 0.408863 & 0.817726 & 0.591137 \tabularnewline
224 & 0.370329 & 0.740657 & 0.629671 \tabularnewline
225 & 0.395274 & 0.790547 & 0.604726 \tabularnewline
226 & 0.369107 & 0.738213 & 0.630893 \tabularnewline
227 & 0.341528 & 0.683056 & 0.658472 \tabularnewline
228 & 0.358822 & 0.717644 & 0.641178 \tabularnewline
229 & 0.442648 & 0.885296 & 0.557352 \tabularnewline
230 & 0.402648 & 0.805296 & 0.597352 \tabularnewline
231 & 0.379208 & 0.758416 & 0.620792 \tabularnewline
232 & 0.46348 & 0.92696 & 0.53652 \tabularnewline
233 & 0.437785 & 0.875569 & 0.562215 \tabularnewline
234 & 0.421047 & 0.842093 & 0.578953 \tabularnewline
235 & 0.389371 & 0.778742 & 0.610629 \tabularnewline
236 & 0.440836 & 0.881671 & 0.559164 \tabularnewline
237 & 0.529326 & 0.941348 & 0.470674 \tabularnewline
238 & 0.632303 & 0.735393 & 0.367697 \tabularnewline
239 & 0.709916 & 0.580168 & 0.290084 \tabularnewline
240 & 0.668778 & 0.662444 & 0.331222 \tabularnewline
241 & 0.62224 & 0.75552 & 0.37776 \tabularnewline
242 & 0.620862 & 0.758277 & 0.379138 \tabularnewline
243 & 0.869207 & 0.261585 & 0.130793 \tabularnewline
244 & 0.846816 & 0.306368 & 0.153184 \tabularnewline
245 & 0.813936 & 0.372128 & 0.186064 \tabularnewline
246 & 0.8406 & 0.318801 & 0.1594 \tabularnewline
247 & 0.825358 & 0.349284 & 0.174642 \tabularnewline
248 & 0.789575 & 0.42085 & 0.210425 \tabularnewline
249 & 0.756965 & 0.48607 & 0.243035 \tabularnewline
250 & 0.722219 & 0.555563 & 0.277781 \tabularnewline
251 & 0.811732 & 0.376537 & 0.188268 \tabularnewline
252 & 0.834671 & 0.330658 & 0.165329 \tabularnewline
253 & 0.809234 & 0.381532 & 0.190766 \tabularnewline
254 & 0.769002 & 0.461996 & 0.230998 \tabularnewline
255 & 0.760605 & 0.478789 & 0.239395 \tabularnewline
256 & 0.712723 & 0.574554 & 0.287277 \tabularnewline
257 & 0.686508 & 0.626984 & 0.313492 \tabularnewline
258 & 0.627233 & 0.745534 & 0.372767 \tabularnewline
259 & 0.579663 & 0.840675 & 0.420337 \tabularnewline
260 & 0.516963 & 0.966074 & 0.483037 \tabularnewline
261 & 0.454282 & 0.908564 & 0.545718 \tabularnewline
262 & 0.548094 & 0.903813 & 0.451906 \tabularnewline
263 & 0.598966 & 0.802069 & 0.401034 \tabularnewline
264 & 0.575642 & 0.848716 & 0.424358 \tabularnewline
265 & 0.787144 & 0.425712 & 0.212856 \tabularnewline
266 & 0.911413 & 0.177173 & 0.0885867 \tabularnewline
267 & 0.868905 & 0.26219 & 0.131095 \tabularnewline
268 & 0.9679 & 0.064201 & 0.0321005 \tabularnewline
269 & 0.966201 & 0.067597 & 0.0337985 \tabularnewline
270 & 0.965466 & 0.0690672 & 0.0345336 \tabularnewline
271 & 0.943427 & 0.113146 & 0.056573 \tabularnewline
272 & 0.912821 & 0.174358 & 0.087179 \tabularnewline
273 & 0.891544 & 0.216913 & 0.108456 \tabularnewline
274 & 0.971742 & 0.0565157 & 0.0282578 \tabularnewline
275 & 0.936781 & 0.126438 & 0.0632191 \tabularnewline
276 & 0.964055 & 0.0718896 & 0.0359448 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270366&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]10[/C][C]0.65799[/C][C]0.68402[/C][C]0.34201[/C][/ROW]
[ROW][C]11[/C][C]0.507245[/C][C]0.985509[/C][C]0.492755[/C][/ROW]
[ROW][C]12[/C][C]0.366844[/C][C]0.733688[/C][C]0.633156[/C][/ROW]
[ROW][C]13[/C][C]0.399204[/C][C]0.798409[/C][C]0.600796[/C][/ROW]
[ROW][C]14[/C][C]0.305796[/C][C]0.611593[/C][C]0.694204[/C][/ROW]
[ROW][C]15[/C][C]0.213981[/C][C]0.427962[/C][C]0.786019[/C][/ROW]
[ROW][C]16[/C][C]0.231885[/C][C]0.463769[/C][C]0.768115[/C][/ROW]
[ROW][C]17[/C][C]0.164565[/C][C]0.329129[/C][C]0.835435[/C][/ROW]
[ROW][C]18[/C][C]0.123255[/C][C]0.24651[/C][C]0.876745[/C][/ROW]
[ROW][C]19[/C][C]0.0859218[/C][C]0.171844[/C][C]0.914078[/C][/ROW]
[ROW][C]20[/C][C]0.0568932[/C][C]0.113786[/C][C]0.943107[/C][/ROW]
[ROW][C]21[/C][C]0.0412058[/C][C]0.0824117[/C][C]0.958794[/C][/ROW]
[ROW][C]22[/C][C]0.0276215[/C][C]0.055243[/C][C]0.972378[/C][/ROW]
[ROW][C]23[/C][C]0.0229052[/C][C]0.0458103[/C][C]0.977095[/C][/ROW]
[ROW][C]24[/C][C]0.0146666[/C][C]0.0293332[/C][C]0.985333[/C][/ROW]
[ROW][C]25[/C][C]0.0206032[/C][C]0.0412065[/C][C]0.979397[/C][/ROW]
[ROW][C]26[/C][C]0.0134768[/C][C]0.0269535[/C][C]0.986523[/C][/ROW]
[ROW][C]27[/C][C]0.00820633[/C][C]0.0164127[/C][C]0.991794[/C][/ROW]
[ROW][C]28[/C][C]0.0107736[/C][C]0.0215473[/C][C]0.989226[/C][/ROW]
[ROW][C]29[/C][C]0.00732169[/C][C]0.0146434[/C][C]0.992678[/C][/ROW]
[ROW][C]30[/C][C]0.00477333[/C][C]0.00954667[/C][C]0.995227[/C][/ROW]
[ROW][C]31[/C][C]0.00283581[/C][C]0.00567162[/C][C]0.997164[/C][/ROW]
[ROW][C]32[/C][C]0.00780361[/C][C]0.0156072[/C][C]0.992196[/C][/ROW]
[ROW][C]33[/C][C]0.00493881[/C][C]0.00987762[/C][C]0.995061[/C][/ROW]
[ROW][C]34[/C][C]0.00360768[/C][C]0.00721537[/C][C]0.996392[/C][/ROW]
[ROW][C]35[/C][C]0.00410058[/C][C]0.00820117[/C][C]0.995899[/C][/ROW]
[ROW][C]36[/C][C]0.0101903[/C][C]0.0203805[/C][C]0.98981[/C][/ROW]
[ROW][C]37[/C][C]0.00690752[/C][C]0.013815[/C][C]0.993092[/C][/ROW]
[ROW][C]38[/C][C]0.0052136[/C][C]0.0104272[/C][C]0.994786[/C][/ROW]
[ROW][C]39[/C][C]0.00346163[/C][C]0.00692325[/C][C]0.996538[/C][/ROW]
[ROW][C]40[/C][C]0.00222366[/C][C]0.00444733[/C][C]0.997776[/C][/ROW]
[ROW][C]41[/C][C]0.00169762[/C][C]0.00339524[/C][C]0.998302[/C][/ROW]
[ROW][C]42[/C][C]0.0011005[/C][C]0.00220101[/C][C]0.998899[/C][/ROW]
[ROW][C]43[/C][C]0.00250289[/C][C]0.00500579[/C][C]0.997497[/C][/ROW]
[ROW][C]44[/C][C]0.00212492[/C][C]0.00424984[/C][C]0.997875[/C][/ROW]
[ROW][C]45[/C][C]0.00234765[/C][C]0.00469529[/C][C]0.997652[/C][/ROW]
[ROW][C]46[/C][C]0.00229839[/C][C]0.00459679[/C][C]0.997702[/C][/ROW]
[ROW][C]47[/C][C]0.00150391[/C][C]0.00300781[/C][C]0.998496[/C][/ROW]
[ROW][C]48[/C][C]0.00111381[/C][C]0.00222761[/C][C]0.998886[/C][/ROW]
[ROW][C]49[/C][C]0.000866233[/C][C]0.00173247[/C][C]0.999134[/C][/ROW]
[ROW][C]50[/C][C]0.000727158[/C][C]0.00145432[/C][C]0.999273[/C][/ROW]
[ROW][C]51[/C][C]0.000644271[/C][C]0.00128854[/C][C]0.999356[/C][/ROW]
[ROW][C]52[/C][C]0.000764117[/C][C]0.00152823[/C][C]0.999236[/C][/ROW]
[ROW][C]53[/C][C]0.000553518[/C][C]0.00110704[/C][C]0.999446[/C][/ROW]
[ROW][C]54[/C][C]0.00170562[/C][C]0.00341124[/C][C]0.998294[/C][/ROW]
[ROW][C]55[/C][C]0.00124653[/C][C]0.00249306[/C][C]0.998753[/C][/ROW]
[ROW][C]56[/C][C]0.00120023[/C][C]0.00240046[/C][C]0.9988[/C][/ROW]
[ROW][C]57[/C][C]0.00128945[/C][C]0.00257889[/C][C]0.998711[/C][/ROW]
[ROW][C]58[/C][C]0.000935622[/C][C]0.00187124[/C][C]0.999064[/C][/ROW]
[ROW][C]59[/C][C]0.0022146[/C][C]0.0044292[/C][C]0.997785[/C][/ROW]
[ROW][C]60[/C][C]0.0018116[/C][C]0.00362319[/C][C]0.998188[/C][/ROW]
[ROW][C]61[/C][C]0.00189687[/C][C]0.00379374[/C][C]0.998103[/C][/ROW]
[ROW][C]62[/C][C]0.00239853[/C][C]0.00479706[/C][C]0.997601[/C][/ROW]
[ROW][C]63[/C][C]0.00197154[/C][C]0.00394308[/C][C]0.998028[/C][/ROW]
[ROW][C]64[/C][C]0.00169885[/C][C]0.00339771[/C][C]0.998301[/C][/ROW]
[ROW][C]65[/C][C]0.00294268[/C][C]0.00588537[/C][C]0.997057[/C][/ROW]
[ROW][C]66[/C][C]0.00528354[/C][C]0.0105671[/C][C]0.994716[/C][/ROW]
[ROW][C]67[/C][C]0.00499268[/C][C]0.00998536[/C][C]0.995007[/C][/ROW]
[ROW][C]68[/C][C]0.0043832[/C][C]0.0087664[/C][C]0.995617[/C][/ROW]
[ROW][C]69[/C][C]0.00324272[/C][C]0.00648544[/C][C]0.996757[/C][/ROW]
[ROW][C]70[/C][C]0.0029764[/C][C]0.00595279[/C][C]0.997024[/C][/ROW]
[ROW][C]71[/C][C]0.00351668[/C][C]0.00703336[/C][C]0.996483[/C][/ROW]
[ROW][C]72[/C][C]0.00279591[/C][C]0.00559183[/C][C]0.997204[/C][/ROW]
[ROW][C]73[/C][C]0.0020404[/C][C]0.00408081[/C][C]0.99796[/C][/ROW]
[ROW][C]74[/C][C]0.00151019[/C][C]0.00302038[/C][C]0.99849[/C][/ROW]
[ROW][C]75[/C][C]0.00150124[/C][C]0.00300248[/C][C]0.998499[/C][/ROW]
[ROW][C]76[/C][C]0.0016127[/C][C]0.0032254[/C][C]0.998387[/C][/ROW]
[ROW][C]77[/C][C]0.00214792[/C][C]0.00429583[/C][C]0.997852[/C][/ROW]
[ROW][C]78[/C][C]0.00171947[/C][C]0.00343895[/C][C]0.998281[/C][/ROW]
[ROW][C]79[/C][C]0.00161806[/C][C]0.00323613[/C][C]0.998382[/C][/ROW]
[ROW][C]80[/C][C]0.00128379[/C][C]0.00256757[/C][C]0.998716[/C][/ROW]
[ROW][C]81[/C][C]0.00120598[/C][C]0.00241196[/C][C]0.998794[/C][/ROW]
[ROW][C]82[/C][C]0.00101647[/C][C]0.00203293[/C][C]0.998984[/C][/ROW]
[ROW][C]83[/C][C]0.00121809[/C][C]0.00243619[/C][C]0.998782[/C][/ROW]
[ROW][C]84[/C][C]0.000925006[/C][C]0.00185001[/C][C]0.999075[/C][/ROW]
[ROW][C]85[/C][C]0.000857252[/C][C]0.0017145[/C][C]0.999143[/C][/ROW]
[ROW][C]86[/C][C]0.000691686[/C][C]0.00138337[/C][C]0.999308[/C][/ROW]
[ROW][C]87[/C][C]0.00366496[/C][C]0.00732992[/C][C]0.996335[/C][/ROW]
[ROW][C]88[/C][C]0.0030478[/C][C]0.00609561[/C][C]0.996952[/C][/ROW]
[ROW][C]89[/C][C]0.00240363[/C][C]0.00480726[/C][C]0.997596[/C][/ROW]
[ROW][C]90[/C][C]0.00187266[/C][C]0.00374531[/C][C]0.998127[/C][/ROW]
[ROW][C]91[/C][C]0.00154612[/C][C]0.00309224[/C][C]0.998454[/C][/ROW]
[ROW][C]92[/C][C]0.0016405[/C][C]0.003281[/C][C]0.99836[/C][/ROW]
[ROW][C]93[/C][C]0.00152484[/C][C]0.00304968[/C][C]0.998475[/C][/ROW]
[ROW][C]94[/C][C]0.00121152[/C][C]0.00242304[/C][C]0.998788[/C][/ROW]
[ROW][C]95[/C][C]0.00319668[/C][C]0.00639337[/C][C]0.996803[/C][/ROW]
[ROW][C]96[/C][C]0.00276918[/C][C]0.00553836[/C][C]0.997231[/C][/ROW]
[ROW][C]97[/C][C]0.00264766[/C][C]0.00529532[/C][C]0.997352[/C][/ROW]
[ROW][C]98[/C][C]0.00335498[/C][C]0.00670996[/C][C]0.996645[/C][/ROW]
[ROW][C]99[/C][C]0.00337841[/C][C]0.00675682[/C][C]0.996622[/C][/ROW]
[ROW][C]100[/C][C]0.00491939[/C][C]0.00983879[/C][C]0.995081[/C][/ROW]
[ROW][C]101[/C][C]0.00406814[/C][C]0.00813627[/C][C]0.995932[/C][/ROW]
[ROW][C]102[/C][C]0.00366469[/C][C]0.00732937[/C][C]0.996335[/C][/ROW]
[ROW][C]103[/C][C]0.00425215[/C][C]0.00850429[/C][C]0.995748[/C][/ROW]
[ROW][C]104[/C][C]0.00354398[/C][C]0.00708796[/C][C]0.996456[/C][/ROW]
[ROW][C]105[/C][C]0.00301886[/C][C]0.00603773[/C][C]0.996981[/C][/ROW]
[ROW][C]106[/C][C]0.00331196[/C][C]0.00662392[/C][C]0.996688[/C][/ROW]
[ROW][C]107[/C][C]0.00298387[/C][C]0.00596774[/C][C]0.997016[/C][/ROW]
[ROW][C]108[/C][C]0.00321766[/C][C]0.00643532[/C][C]0.996782[/C][/ROW]
[ROW][C]109[/C][C]0.00364001[/C][C]0.00728002[/C][C]0.99636[/C][/ROW]
[ROW][C]110[/C][C]0.00383393[/C][C]0.00766785[/C][C]0.996166[/C][/ROW]
[ROW][C]111[/C][C]0.0113163[/C][C]0.0226327[/C][C]0.988684[/C][/ROW]
[ROW][C]112[/C][C]0.0208416[/C][C]0.0416831[/C][C]0.979158[/C][/ROW]
[ROW][C]113[/C][C]0.0222229[/C][C]0.0444457[/C][C]0.977777[/C][/ROW]
[ROW][C]114[/C][C]0.0200606[/C][C]0.0401213[/C][C]0.979939[/C][/ROW]
[ROW][C]115[/C][C]0.0177869[/C][C]0.0355738[/C][C]0.982213[/C][/ROW]
[ROW][C]116[/C][C]0.0852673[/C][C]0.170535[/C][C]0.914733[/C][/ROW]
[ROW][C]117[/C][C]0.0866436[/C][C]0.173287[/C][C]0.913356[/C][/ROW]
[ROW][C]118[/C][C]0.158168[/C][C]0.316336[/C][C]0.841832[/C][/ROW]
[ROW][C]119[/C][C]0.250032[/C][C]0.500064[/C][C]0.749968[/C][/ROW]
[ROW][C]120[/C][C]0.303053[/C][C]0.606106[/C][C]0.696947[/C][/ROW]
[ROW][C]121[/C][C]0.281241[/C][C]0.562481[/C][C]0.718759[/C][/ROW]
[ROW][C]122[/C][C]0.347341[/C][C]0.694682[/C][C]0.652659[/C][/ROW]
[ROW][C]123[/C][C]0.476497[/C][C]0.952994[/C][C]0.523503[/C][/ROW]
[ROW][C]124[/C][C]0.506143[/C][C]0.987713[/C][C]0.493857[/C][/ROW]
[ROW][C]125[/C][C]0.496343[/C][C]0.992686[/C][C]0.503657[/C][/ROW]
[ROW][C]126[/C][C]0.579973[/C][C]0.840053[/C][C]0.420027[/C][/ROW]
[ROW][C]127[/C][C]0.582764[/C][C]0.834472[/C][C]0.417236[/C][/ROW]
[ROW][C]128[/C][C]0.580314[/C][C]0.839371[/C][C]0.419686[/C][/ROW]
[ROW][C]129[/C][C]0.556404[/C][C]0.887193[/C][C]0.443596[/C][/ROW]
[ROW][C]130[/C][C]0.591768[/C][C]0.816465[/C][C]0.408232[/C][/ROW]
[ROW][C]131[/C][C]0.569948[/C][C]0.860104[/C][C]0.430052[/C][/ROW]
[ROW][C]132[/C][C]0.67454[/C][C]0.65092[/C][C]0.32546[/C][/ROW]
[ROW][C]133[/C][C]0.663599[/C][C]0.672802[/C][C]0.336401[/C][/ROW]
[ROW][C]134[/C][C]0.650518[/C][C]0.698964[/C][C]0.349482[/C][/ROW]
[ROW][C]135[/C][C]0.66379[/C][C]0.67242[/C][C]0.33621[/C][/ROW]
[ROW][C]136[/C][C]0.653909[/C][C]0.692181[/C][C]0.346091[/C][/ROW]
[ROW][C]137[/C][C]0.647374[/C][C]0.705252[/C][C]0.352626[/C][/ROW]
[ROW][C]138[/C][C]0.629411[/C][C]0.741178[/C][C]0.370589[/C][/ROW]
[ROW][C]139[/C][C]0.60627[/C][C]0.78746[/C][C]0.39373[/C][/ROW]
[ROW][C]140[/C][C]0.647655[/C][C]0.704689[/C][C]0.352345[/C][/ROW]
[ROW][C]141[/C][C]0.689827[/C][C]0.620346[/C][C]0.310173[/C][/ROW]
[ROW][C]142[/C][C]0.768731[/C][C]0.462539[/C][C]0.231269[/C][/ROW]
[ROW][C]143[/C][C]0.759401[/C][C]0.481197[/C][C]0.240599[/C][/ROW]
[ROW][C]144[/C][C]0.736273[/C][C]0.527454[/C][C]0.263727[/C][/ROW]
[ROW][C]145[/C][C]0.77666[/C][C]0.44668[/C][C]0.22334[/C][/ROW]
[ROW][C]146[/C][C]0.770702[/C][C]0.458596[/C][C]0.229298[/C][/ROW]
[ROW][C]147[/C][C]0.804522[/C][C]0.390957[/C][C]0.195478[/C][/ROW]
[ROW][C]148[/C][C]0.790098[/C][C]0.419804[/C][C]0.209902[/C][/ROW]
[ROW][C]149[/C][C]0.793852[/C][C]0.412295[/C][C]0.206148[/C][/ROW]
[ROW][C]150[/C][C]0.803404[/C][C]0.393191[/C][C]0.196596[/C][/ROW]
[ROW][C]151[/C][C]0.786524[/C][C]0.426952[/C][C]0.213476[/C][/ROW]
[ROW][C]152[/C][C]0.777435[/C][C]0.445129[/C][C]0.222565[/C][/ROW]
[ROW][C]153[/C][C]0.75783[/C][C]0.48434[/C][C]0.24217[/C][/ROW]
[ROW][C]154[/C][C]0.742455[/C][C]0.515089[/C][C]0.257545[/C][/ROW]
[ROW][C]155[/C][C]0.784072[/C][C]0.431857[/C][C]0.215928[/C][/ROW]
[ROW][C]156[/C][C]0.783386[/C][C]0.433227[/C][C]0.216614[/C][/ROW]
[ROW][C]157[/C][C]0.770837[/C][C]0.458327[/C][C]0.229163[/C][/ROW]
[ROW][C]158[/C][C]0.795356[/C][C]0.409289[/C][C]0.204644[/C][/ROW]
[ROW][C]159[/C][C]0.804146[/C][C]0.391708[/C][C]0.195854[/C][/ROW]
[ROW][C]160[/C][C]0.785626[/C][C]0.428747[/C][C]0.214374[/C][/ROW]
[ROW][C]161[/C][C]0.762365[/C][C]0.47527[/C][C]0.237635[/C][/ROW]
[ROW][C]162[/C][C]0.799731[/C][C]0.400539[/C][C]0.200269[/C][/ROW]
[ROW][C]163[/C][C]0.79328[/C][C]0.41344[/C][C]0.20672[/C][/ROW]
[ROW][C]164[/C][C]0.770852[/C][C]0.458296[/C][C]0.229148[/C][/ROW]
[ROW][C]165[/C][C]0.755798[/C][C]0.488404[/C][C]0.244202[/C][/ROW]
[ROW][C]166[/C][C]0.793284[/C][C]0.413431[/C][C]0.206716[/C][/ROW]
[ROW][C]167[/C][C]0.789938[/C][C]0.420125[/C][C]0.210062[/C][/ROW]
[ROW][C]168[/C][C]0.79879[/C][C]0.40242[/C][C]0.20121[/C][/ROW]
[ROW][C]169[/C][C]0.784856[/C][C]0.430287[/C][C]0.215144[/C][/ROW]
[ROW][C]170[/C][C]0.817452[/C][C]0.365096[/C][C]0.182548[/C][/ROW]
[ROW][C]171[/C][C]0.800618[/C][C]0.398764[/C][C]0.199382[/C][/ROW]
[ROW][C]172[/C][C]0.849033[/C][C]0.301934[/C][C]0.150967[/C][/ROW]
[ROW][C]173[/C][C]0.832576[/C][C]0.334849[/C][C]0.167424[/C][/ROW]
[ROW][C]174[/C][C]0.813229[/C][C]0.373541[/C][C]0.186771[/C][/ROW]
[ROW][C]175[/C][C]0.800598[/C][C]0.398804[/C][C]0.199402[/C][/ROW]
[ROW][C]176[/C][C]0.793487[/C][C]0.413025[/C][C]0.206513[/C][/ROW]
[ROW][C]177[/C][C]0.823457[/C][C]0.353086[/C][C]0.176543[/C][/ROW]
[ROW][C]178[/C][C]0.804829[/C][C]0.390341[/C][C]0.195171[/C][/ROW]
[ROW][C]179[/C][C]0.784667[/C][C]0.430666[/C][C]0.215333[/C][/ROW]
[ROW][C]180[/C][C]0.764896[/C][C]0.470207[/C][C]0.235104[/C][/ROW]
[ROW][C]181[/C][C]0.796501[/C][C]0.406998[/C][C]0.203499[/C][/ROW]
[ROW][C]182[/C][C]0.771733[/C][C]0.456534[/C][C]0.228267[/C][/ROW]
[ROW][C]183[/C][C]0.831829[/C][C]0.336343[/C][C]0.168171[/C][/ROW]
[ROW][C]184[/C][C]0.815823[/C][C]0.368354[/C][C]0.184177[/C][/ROW]
[ROW][C]185[/C][C]0.855023[/C][C]0.289954[/C][C]0.144977[/C][/ROW]
[ROW][C]186[/C][C]0.833447[/C][C]0.333106[/C][C]0.166553[/C][/ROW]
[ROW][C]187[/C][C]0.810053[/C][C]0.379895[/C][C]0.189947[/C][/ROW]
[ROW][C]188[/C][C]0.857184[/C][C]0.285632[/C][C]0.142816[/C][/ROW]
[ROW][C]189[/C][C]0.846692[/C][C]0.306617[/C][C]0.153308[/C][/ROW]
[ROW][C]190[/C][C]0.826812[/C][C]0.346376[/C][C]0.173188[/C][/ROW]
[ROW][C]191[/C][C]0.819883[/C][C]0.360234[/C][C]0.180117[/C][/ROW]
[ROW][C]192[/C][C]0.833676[/C][C]0.332647[/C][C]0.166324[/C][/ROW]
[ROW][C]193[/C][C]0.809588[/C][C]0.380824[/C][C]0.190412[/C][/ROW]
[ROW][C]194[/C][C]0.786508[/C][C]0.426984[/C][C]0.213492[/C][/ROW]
[ROW][C]195[/C][C]0.75995[/C][C]0.4801[/C][C]0.24005[/C][/ROW]
[ROW][C]196[/C][C]0.758415[/C][C]0.48317[/C][C]0.241585[/C][/ROW]
[ROW][C]197[/C][C]0.743442[/C][C]0.513116[/C][C]0.256558[/C][/ROW]
[ROW][C]198[/C][C]0.7639[/C][C]0.4722[/C][C]0.2361[/C][/ROW]
[ROW][C]199[/C][C]0.789309[/C][C]0.421383[/C][C]0.210691[/C][/ROW]
[ROW][C]200[/C][C]0.763388[/C][C]0.473223[/C][C]0.236612[/C][/ROW]
[ROW][C]201[/C][C]0.734265[/C][C]0.53147[/C][C]0.265735[/C][/ROW]
[ROW][C]202[/C][C]0.710717[/C][C]0.578566[/C][C]0.289283[/C][/ROW]
[ROW][C]203[/C][C]0.679978[/C][C]0.640043[/C][C]0.320022[/C][/ROW]
[ROW][C]204[/C][C]0.650602[/C][C]0.698796[/C][C]0.349398[/C][/ROW]
[ROW][C]205[/C][C]0.629529[/C][C]0.740943[/C][C]0.370471[/C][/ROW]
[ROW][C]206[/C][C]0.706473[/C][C]0.587053[/C][C]0.293527[/C][/ROW]
[ROW][C]207[/C][C]0.672723[/C][C]0.654553[/C][C]0.327277[/C][/ROW]
[ROW][C]208[/C][C]0.638937[/C][C]0.722126[/C][C]0.361063[/C][/ROW]
[ROW][C]209[/C][C]0.61772[/C][C]0.76456[/C][C]0.38228[/C][/ROW]
[ROW][C]210[/C][C]0.587781[/C][C]0.824438[/C][C]0.412219[/C][/ROW]
[ROW][C]211[/C][C]0.564355[/C][C]0.871291[/C][C]0.435645[/C][/ROW]
[ROW][C]212[/C][C]0.59057[/C][C]0.818861[/C][C]0.40943[/C][/ROW]
[ROW][C]213[/C][C]0.555584[/C][C]0.888832[/C][C]0.444416[/C][/ROW]
[ROW][C]214[/C][C]0.531742[/C][C]0.936515[/C][C]0.468258[/C][/ROW]
[ROW][C]215[/C][C]0.586648[/C][C]0.826703[/C][C]0.413352[/C][/ROW]
[ROW][C]216[/C][C]0.584561[/C][C]0.830877[/C][C]0.415439[/C][/ROW]
[ROW][C]217[/C][C]0.566143[/C][C]0.867715[/C][C]0.433857[/C][/ROW]
[ROW][C]218[/C][C]0.539038[/C][C]0.921923[/C][C]0.460962[/C][/ROW]
[ROW][C]219[/C][C]0.517256[/C][C]0.965488[/C][C]0.482744[/C][/ROW]
[ROW][C]220[/C][C]0.479175[/C][C]0.958351[/C][C]0.520825[/C][/ROW]
[ROW][C]221[/C][C]0.466786[/C][C]0.933572[/C][C]0.533214[/C][/ROW]
[ROW][C]222[/C][C]0.427641[/C][C]0.855282[/C][C]0.572359[/C][/ROW]
[ROW][C]223[/C][C]0.408863[/C][C]0.817726[/C][C]0.591137[/C][/ROW]
[ROW][C]224[/C][C]0.370329[/C][C]0.740657[/C][C]0.629671[/C][/ROW]
[ROW][C]225[/C][C]0.395274[/C][C]0.790547[/C][C]0.604726[/C][/ROW]
[ROW][C]226[/C][C]0.369107[/C][C]0.738213[/C][C]0.630893[/C][/ROW]
[ROW][C]227[/C][C]0.341528[/C][C]0.683056[/C][C]0.658472[/C][/ROW]
[ROW][C]228[/C][C]0.358822[/C][C]0.717644[/C][C]0.641178[/C][/ROW]
[ROW][C]229[/C][C]0.442648[/C][C]0.885296[/C][C]0.557352[/C][/ROW]
[ROW][C]230[/C][C]0.402648[/C][C]0.805296[/C][C]0.597352[/C][/ROW]
[ROW][C]231[/C][C]0.379208[/C][C]0.758416[/C][C]0.620792[/C][/ROW]
[ROW][C]232[/C][C]0.46348[/C][C]0.92696[/C][C]0.53652[/C][/ROW]
[ROW][C]233[/C][C]0.437785[/C][C]0.875569[/C][C]0.562215[/C][/ROW]
[ROW][C]234[/C][C]0.421047[/C][C]0.842093[/C][C]0.578953[/C][/ROW]
[ROW][C]235[/C][C]0.389371[/C][C]0.778742[/C][C]0.610629[/C][/ROW]
[ROW][C]236[/C][C]0.440836[/C][C]0.881671[/C][C]0.559164[/C][/ROW]
[ROW][C]237[/C][C]0.529326[/C][C]0.941348[/C][C]0.470674[/C][/ROW]
[ROW][C]238[/C][C]0.632303[/C][C]0.735393[/C][C]0.367697[/C][/ROW]
[ROW][C]239[/C][C]0.709916[/C][C]0.580168[/C][C]0.290084[/C][/ROW]
[ROW][C]240[/C][C]0.668778[/C][C]0.662444[/C][C]0.331222[/C][/ROW]
[ROW][C]241[/C][C]0.62224[/C][C]0.75552[/C][C]0.37776[/C][/ROW]
[ROW][C]242[/C][C]0.620862[/C][C]0.758277[/C][C]0.379138[/C][/ROW]
[ROW][C]243[/C][C]0.869207[/C][C]0.261585[/C][C]0.130793[/C][/ROW]
[ROW][C]244[/C][C]0.846816[/C][C]0.306368[/C][C]0.153184[/C][/ROW]
[ROW][C]245[/C][C]0.813936[/C][C]0.372128[/C][C]0.186064[/C][/ROW]
[ROW][C]246[/C][C]0.8406[/C][C]0.318801[/C][C]0.1594[/C][/ROW]
[ROW][C]247[/C][C]0.825358[/C][C]0.349284[/C][C]0.174642[/C][/ROW]
[ROW][C]248[/C][C]0.789575[/C][C]0.42085[/C][C]0.210425[/C][/ROW]
[ROW][C]249[/C][C]0.756965[/C][C]0.48607[/C][C]0.243035[/C][/ROW]
[ROW][C]250[/C][C]0.722219[/C][C]0.555563[/C][C]0.277781[/C][/ROW]
[ROW][C]251[/C][C]0.811732[/C][C]0.376537[/C][C]0.188268[/C][/ROW]
[ROW][C]252[/C][C]0.834671[/C][C]0.330658[/C][C]0.165329[/C][/ROW]
[ROW][C]253[/C][C]0.809234[/C][C]0.381532[/C][C]0.190766[/C][/ROW]
[ROW][C]254[/C][C]0.769002[/C][C]0.461996[/C][C]0.230998[/C][/ROW]
[ROW][C]255[/C][C]0.760605[/C][C]0.478789[/C][C]0.239395[/C][/ROW]
[ROW][C]256[/C][C]0.712723[/C][C]0.574554[/C][C]0.287277[/C][/ROW]
[ROW][C]257[/C][C]0.686508[/C][C]0.626984[/C][C]0.313492[/C][/ROW]
[ROW][C]258[/C][C]0.627233[/C][C]0.745534[/C][C]0.372767[/C][/ROW]
[ROW][C]259[/C][C]0.579663[/C][C]0.840675[/C][C]0.420337[/C][/ROW]
[ROW][C]260[/C][C]0.516963[/C][C]0.966074[/C][C]0.483037[/C][/ROW]
[ROW][C]261[/C][C]0.454282[/C][C]0.908564[/C][C]0.545718[/C][/ROW]
[ROW][C]262[/C][C]0.548094[/C][C]0.903813[/C][C]0.451906[/C][/ROW]
[ROW][C]263[/C][C]0.598966[/C][C]0.802069[/C][C]0.401034[/C][/ROW]
[ROW][C]264[/C][C]0.575642[/C][C]0.848716[/C][C]0.424358[/C][/ROW]
[ROW][C]265[/C][C]0.787144[/C][C]0.425712[/C][C]0.212856[/C][/ROW]
[ROW][C]266[/C][C]0.911413[/C][C]0.177173[/C][C]0.0885867[/C][/ROW]
[ROW][C]267[/C][C]0.868905[/C][C]0.26219[/C][C]0.131095[/C][/ROW]
[ROW][C]268[/C][C]0.9679[/C][C]0.064201[/C][C]0.0321005[/C][/ROW]
[ROW][C]269[/C][C]0.966201[/C][C]0.067597[/C][C]0.0337985[/C][/ROW]
[ROW][C]270[/C][C]0.965466[/C][C]0.0690672[/C][C]0.0345336[/C][/ROW]
[ROW][C]271[/C][C]0.943427[/C][C]0.113146[/C][C]0.056573[/C][/ROW]
[ROW][C]272[/C][C]0.912821[/C][C]0.174358[/C][C]0.087179[/C][/ROW]
[ROW][C]273[/C][C]0.891544[/C][C]0.216913[/C][C]0.108456[/C][/ROW]
[ROW][C]274[/C][C]0.971742[/C][C]0.0565157[/C][C]0.0282578[/C][/ROW]
[ROW][C]275[/C][C]0.936781[/C][C]0.126438[/C][C]0.0632191[/C][/ROW]
[ROW][C]276[/C][C]0.964055[/C][C]0.0718896[/C][C]0.0359448[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270366&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270366&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.657990.684020.34201
110.5072450.9855090.492755
120.3668440.7336880.633156
130.3992040.7984090.600796
140.3057960.6115930.694204
150.2139810.4279620.786019
160.2318850.4637690.768115
170.1645650.3291290.835435
180.1232550.246510.876745
190.08592180.1718440.914078
200.05689320.1137860.943107
210.04120580.08241170.958794
220.02762150.0552430.972378
230.02290520.04581030.977095
240.01466660.02933320.985333
250.02060320.04120650.979397
260.01347680.02695350.986523
270.008206330.01641270.991794
280.01077360.02154730.989226
290.007321690.01464340.992678
300.004773330.009546670.995227
310.002835810.005671620.997164
320.007803610.01560720.992196
330.004938810.009877620.995061
340.003607680.007215370.996392
350.004100580.008201170.995899
360.01019030.02038050.98981
370.006907520.0138150.993092
380.00521360.01042720.994786
390.003461630.006923250.996538
400.002223660.004447330.997776
410.001697620.003395240.998302
420.00110050.002201010.998899
430.002502890.005005790.997497
440.002124920.004249840.997875
450.002347650.004695290.997652
460.002298390.004596790.997702
470.001503910.003007810.998496
480.001113810.002227610.998886
490.0008662330.001732470.999134
500.0007271580.001454320.999273
510.0006442710.001288540.999356
520.0007641170.001528230.999236
530.0005535180.001107040.999446
540.001705620.003411240.998294
550.001246530.002493060.998753
560.001200230.002400460.9988
570.001289450.002578890.998711
580.0009356220.001871240.999064
590.00221460.00442920.997785
600.00181160.003623190.998188
610.001896870.003793740.998103
620.002398530.004797060.997601
630.001971540.003943080.998028
640.001698850.003397710.998301
650.002942680.005885370.997057
660.005283540.01056710.994716
670.004992680.009985360.995007
680.00438320.00876640.995617
690.003242720.006485440.996757
700.00297640.005952790.997024
710.003516680.007033360.996483
720.002795910.005591830.997204
730.00204040.004080810.99796
740.001510190.003020380.99849
750.001501240.003002480.998499
760.00161270.00322540.998387
770.002147920.004295830.997852
780.001719470.003438950.998281
790.001618060.003236130.998382
800.001283790.002567570.998716
810.001205980.002411960.998794
820.001016470.002032930.998984
830.001218090.002436190.998782
840.0009250060.001850010.999075
850.0008572520.00171450.999143
860.0006916860.001383370.999308
870.003664960.007329920.996335
880.00304780.006095610.996952
890.002403630.004807260.997596
900.001872660.003745310.998127
910.001546120.003092240.998454
920.00164050.0032810.99836
930.001524840.003049680.998475
940.001211520.002423040.998788
950.003196680.006393370.996803
960.002769180.005538360.997231
970.002647660.005295320.997352
980.003354980.006709960.996645
990.003378410.006756820.996622
1000.004919390.009838790.995081
1010.004068140.008136270.995932
1020.003664690.007329370.996335
1030.004252150.008504290.995748
1040.003543980.007087960.996456
1050.003018860.006037730.996981
1060.003311960.006623920.996688
1070.002983870.005967740.997016
1080.003217660.006435320.996782
1090.003640010.007280020.99636
1100.003833930.007667850.996166
1110.01131630.02263270.988684
1120.02084160.04168310.979158
1130.02222290.04444570.977777
1140.02006060.04012130.979939
1150.01778690.03557380.982213
1160.08526730.1705350.914733
1170.08664360.1732870.913356
1180.1581680.3163360.841832
1190.2500320.5000640.749968
1200.3030530.6061060.696947
1210.2812410.5624810.718759
1220.3473410.6946820.652659
1230.4764970.9529940.523503
1240.5061430.9877130.493857
1250.4963430.9926860.503657
1260.5799730.8400530.420027
1270.5827640.8344720.417236
1280.5803140.8393710.419686
1290.5564040.8871930.443596
1300.5917680.8164650.408232
1310.5699480.8601040.430052
1320.674540.650920.32546
1330.6635990.6728020.336401
1340.6505180.6989640.349482
1350.663790.672420.33621
1360.6539090.6921810.346091
1370.6473740.7052520.352626
1380.6294110.7411780.370589
1390.606270.787460.39373
1400.6476550.7046890.352345
1410.6898270.6203460.310173
1420.7687310.4625390.231269
1430.7594010.4811970.240599
1440.7362730.5274540.263727
1450.776660.446680.22334
1460.7707020.4585960.229298
1470.8045220.3909570.195478
1480.7900980.4198040.209902
1490.7938520.4122950.206148
1500.8034040.3931910.196596
1510.7865240.4269520.213476
1520.7774350.4451290.222565
1530.757830.484340.24217
1540.7424550.5150890.257545
1550.7840720.4318570.215928
1560.7833860.4332270.216614
1570.7708370.4583270.229163
1580.7953560.4092890.204644
1590.8041460.3917080.195854
1600.7856260.4287470.214374
1610.7623650.475270.237635
1620.7997310.4005390.200269
1630.793280.413440.20672
1640.7708520.4582960.229148
1650.7557980.4884040.244202
1660.7932840.4134310.206716
1670.7899380.4201250.210062
1680.798790.402420.20121
1690.7848560.4302870.215144
1700.8174520.3650960.182548
1710.8006180.3987640.199382
1720.8490330.3019340.150967
1730.8325760.3348490.167424
1740.8132290.3735410.186771
1750.8005980.3988040.199402
1760.7934870.4130250.206513
1770.8234570.3530860.176543
1780.8048290.3903410.195171
1790.7846670.4306660.215333
1800.7648960.4702070.235104
1810.7965010.4069980.203499
1820.7717330.4565340.228267
1830.8318290.3363430.168171
1840.8158230.3683540.184177
1850.8550230.2899540.144977
1860.8334470.3331060.166553
1870.8100530.3798950.189947
1880.8571840.2856320.142816
1890.8466920.3066170.153308
1900.8268120.3463760.173188
1910.8198830.3602340.180117
1920.8336760.3326470.166324
1930.8095880.3808240.190412
1940.7865080.4269840.213492
1950.759950.48010.24005
1960.7584150.483170.241585
1970.7434420.5131160.256558
1980.76390.47220.2361
1990.7893090.4213830.210691
2000.7633880.4732230.236612
2010.7342650.531470.265735
2020.7107170.5785660.289283
2030.6799780.6400430.320022
2040.6506020.6987960.349398
2050.6295290.7409430.370471
2060.7064730.5870530.293527
2070.6727230.6545530.327277
2080.6389370.7221260.361063
2090.617720.764560.38228
2100.5877810.8244380.412219
2110.5643550.8712910.435645
2120.590570.8188610.40943
2130.5555840.8888320.444416
2140.5317420.9365150.468258
2150.5866480.8267030.413352
2160.5845610.8308770.415439
2170.5661430.8677150.433857
2180.5390380.9219230.460962
2190.5172560.9654880.482744
2200.4791750.9583510.520825
2210.4667860.9335720.533214
2220.4276410.8552820.572359
2230.4088630.8177260.591137
2240.3703290.7406570.629671
2250.3952740.7905470.604726
2260.3691070.7382130.630893
2270.3415280.6830560.658472
2280.3588220.7176440.641178
2290.4426480.8852960.557352
2300.4026480.8052960.597352
2310.3792080.7584160.620792
2320.463480.926960.53652
2330.4377850.8755690.562215
2340.4210470.8420930.578953
2350.3893710.7787420.610629
2360.4408360.8816710.559164
2370.5293260.9413480.470674
2380.6323030.7353930.367697
2390.7099160.5801680.290084
2400.6687780.6624440.331222
2410.622240.755520.37776
2420.6208620.7582770.379138
2430.8692070.2615850.130793
2440.8468160.3063680.153184
2450.8139360.3721280.186064
2460.84060.3188010.1594
2470.8253580.3492840.174642
2480.7895750.420850.210425
2490.7569650.486070.243035
2500.7222190.5555630.277781
2510.8117320.3765370.188268
2520.8346710.3306580.165329
2530.8092340.3815320.190766
2540.7690020.4619960.230998
2550.7606050.4787890.239395
2560.7127230.5745540.287277
2570.6865080.6269840.313492
2580.6272330.7455340.372767
2590.5796630.8406750.420337
2600.5169630.9660740.483037
2610.4542820.9085640.545718
2620.5480940.9038130.451906
2630.5989660.8020690.401034
2640.5756420.8487160.424358
2650.7871440.4257120.212856
2660.9114130.1771730.0885867
2670.8689050.262190.131095
2680.96790.0642010.0321005
2690.9662010.0675970.0337985
2700.9654660.06906720.0345336
2710.9434270.1131460.056573
2720.9128210.1743580.087179
2730.8915440.2169130.108456
2740.9717420.05651570.0282578
2750.9367810.1264380.0632191
2760.9640550.07188960.0359448






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level760.284644NOK
5% type I error level930.348315NOK
10% type I error level1000.374532NOK

\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 & 76 & 0.284644 & NOK \tabularnewline
5% type I error level & 93 & 0.348315 & NOK \tabularnewline
10% type I error level & 100 & 0.374532 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270366&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]76[/C][C]0.284644[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]93[/C][C]0.348315[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]100[/C][C]0.374532[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270366&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270366&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 level760.284644NOK
5% type I error level930.348315NOK
10% type I error level1000.374532NOK


Figures (Output of Computation)

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

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