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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 computationThu, 15 Dec 2011 10:19:17 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/15/t1323962377s5nah2ybsnqaw2x.htm/, Retrieved Wed, 08 May 2024 19:31:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155494, Retrieved Wed, 08 May 2024 19:31:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-05 18:04:16] [b98453cac15ba1066b407e146608df68]
- RMP     [Multiple Regression] [] [2011-12-15 15:19:17] [5a15ab6cc81a4d08ac9d21b238bcb336] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1	1	41	38	13	12	14
1	1	39	32	16	11	18
1	1	30	35	19	15	11
1	0	31	33	15	6	12
1	1	34	37	14	13	16
1	1	35	29	13	10	18
1	1	39	31	19	12	14
1	1	34	36	15	14	14
1	1	36	35	14	12	15
1	1	37	38	15	9	15
1	0	38	31	16	10	17
1	1	36	34	16	12	19
1	0	38	35	16	12	10
1	1	39	38	16	11	16
1	1	33	37	17	15	18
1	0	32	33	15	12	14
1	0	36	32	15	10	14
1	1	38	38	20	12	17
1	0	39	38	18	11	14
1	1	32	32	16	12	16
1	0	32	33	16	11	18
1	1	31	31	16	12	11
1	1	39	38	19	13	14
1	1	37	39	16	11	12
1	0	39	32	17	12	17
1	1	41	32	17	13	9
1	0	36	35	16	10	16
1	1	33	37	15	14	14
1	1	33	33	16	12	15
1	0	34	33	14	10	11
1	1	31	31	15	12	16
1	0	27	32	12	8	13
1	1	37	31	14	10	17
1	1	34	37	16	12	15
1	0	34	30	14	12	14
1	0	32	33	10	7	16
1	0	29	31	10	9	9
1	0	36	33	14	12	15
1	1	29	31	16	10	17
1	0	35	33	16	10	13
1	0	37	32	16	10	15
1	1	34	33	14	12	16
1	0	38	32	20	15	16
1	0	35	33	14	10	12
1	1	38	28	14	10	15
1	1	37	35	11	12	11
1	1	38	39	14	13	15
1	1	33	34	15	11	15
1	1	36	38	16	11	17
1	0	38	32	14	12	13
1	1	32	38	16	14	16
1	0	32	30	14	10	14
1	0	32	33	12	12	11
1	1	34	38	16	13	12
1	0	32	32	9	5	12
1	1	37	35	14	6	15
1	1	39	34	16	12	16
1	1	29	34	16	12	15
1	0	37	36	15	11	12
1	1	35	34	16	10	12
1	0	30	28	12	7	8
1	0	38	34	16	12	13
1	1	34	35	16	14	11
1	1	31	35	14	11	14
1	1	34	31	16	12	15
1	0	35	37	17	13	10
1	1	36	35	18	14	11
1	0	30	27	18	11	12
1	1	39	40	12	12	15
1	0	35	37	16	12	15
1	0	38	36	10	8	14
1	1	31	38	14	11	16
1	1	34	39	18	14	15
1	0	38	41	18	14	15
1	0	34	27	16	12	13
1	1	39	30	17	9	12
1	1	37	37	16	13	17
1	1	34	31	16	11	13
1	0	28	31	13	12	15
1	0	37	27	16	12	13
1	0	33	36	16	12	15
1	1	35	37	16	12	15
1	0	37	33	15	12	16
1	1	32	34	15	11	15
1	1	33	31	16	10	14
1	0	38	39	14	9	15
1	1	33	34	16	12	14
1	1	29	32	16	12	13
1	1	33	33	15	12	7
1	1	31	36	12	9	17
1	1	36	32	17	15	13
1	1	35	41	16	12	15
1	1	32	28	15	12	14
1	1	29	30	13	12	13
1	1	39	36	16	10	16
1	1	37	35	16	13	12
1	1	35	31	16	9	14
1	0	37	34	16	12	17
1	0	32	36	14	10	15
1	1	38	36	16	14	17
1	0	37	35	16	11	12
1	1	36	37	20	15	16
1	0	32	28	15	11	11
1	1	33	39	16	11	15
1	0	40	32	13	12	9
1	1	38	35	17	12	16
1	0	41	39	16	12	15
1	0	36	35	16	11	10
1	1	43	42	12	7	10
1	1	30	34	16	12	15
1	1	31	33	16	14	11
1	1	32	41	17	11	13
1	1	37	34	12	10	18
1	0	37	32	18	13	16
1	1	33	40	14	13	14
1	1	34	40	14	8	14
1	1	33	35	13	11	14
1	1	38	36	16	12	14
1	0	33	37	13	11	12
1	1	31	27	16	13	14
1	1	38	39	13	12	15
1	1	37	38	16	14	15
1	1	36	31	15	13	15
1	1	31	33	16	15	13
1	0	39	32	15	10	17
1	1	44	39	17	11	17
1	1	33	36	15	9	19
1	1	35	33	12	11	15
1	0	32	33	16	10	13
1	0	28	32	10	11	9
1	1	40	37	16	8	15
1	0	27	30	12	11	15
1	0	37	38	14	12	15
1	1	32	29	15	12	16
1	0	28	22	13	9	11
1	0	34	35	15	11	14
1	1	30	35	11	10	11
1	1	35	34	12	8	15
1	0	31	35	11	9	13
1	1	32	34	16	8	15
1	0	30	37	15	9	16
1	1	30	35	17	15	14
1	0	31	23	16	11	15
1	1	40	31	10	8	16
1	1	32	27	18	13	16
1	0	36	36	13	12	11
1	0	32	31	16	12	12
1	0	35	32	13	9	9
1	1	38	39	10	7	16
1	1	42	37	15	13	13
1	0	34	38	16	9	16
1	1	35	39	16	6	12
1	1	38	34	14	8	9
1	1	33	31	10	8	13
1	1	32	37	13	6	14
1	1	33	36	15	9	19
1	1	34	32	16	11	13
1	1	32	38	12	8	12
0	0	27	26	13	10	10
0	0	31	26	12	8	14
0	0	38	33	17	14	16
0	1	34	39	15	10	10
0	0	24	30	10	8	11
0	0	30	33	14	11	14
0	1	26	25	11	12	12
0	1	34	38	13	12	9
0	0	27	37	16	12	9
0	0	37	31	12	5	11
0	1	36	37	16	12	16
0	0	41	35	12	10	9
0	1	29	25	9	7	13
0	1	36	28	12	12	16
0	0	32	35	15	11	13
0	1	37	33	12	8	9
0	0	30	30	12	9	12
0	1	31	31	14	10	16
0	1	38	37	12	9	11
0	1	36	36	16	12	14
0	0	35	30	11	6	13
0	0	31	36	19	15	15
0	0	38	32	15	12	14
0	1	22	28	8	12	16
0	1	32	36	16	12	13
0	0	36	34	17	11	14
0	1	39	31	12	7	15
0	0	28	28	11	7	13
0	0	32	36	11	5	11
0	1	32	36	14	12	11
0	1	38	40	16	12	14
0	1	32	33	12	3	15
0	1	35	37	16	11	11
0	1	32	32	13	10	15
0	0	37	38	15	12	12
0	1	34	31	16	9	14
0	1	33	37	16	12	14
0	0	33	33	14	9	8
0	0	30	30	16	12	9
0	0	24	30	14	10	15
0	0	34	31	11	9	17
0	0	34	32	12	12	13
0	1	33	34	15	8	15
0	1	34	36	15	11	15
0	1	35	37	16	11	14
0	0	35	36	16	12	16
0	0	36	33	11	10	13
0	0	34	33	15	10	16
0	1	34	33	12	12	9
0	0	41	44	12	12	16
0	0	32	39	15	11	11
0	0	30	32	15	8	10
0	1	35	35	16	12	11
0	0	28	25	14	10	15
0	1	33	35	17	11	17
0	1	39	34	14	10	14
0	0	36	35	13	8	8
0	1	36	39	15	12	15
0	0	35	33	13	12	11
0	0	38	36	14	10	16
0	1	33	32	15	12	10
0	0	31	32	12	9	15
0	1	32	36	8	6	16
0	0	31	32	14	10	19
0	0	33	34	14	9	12
0	0	34	33	11	9	8
0	0	34	35	12	9	11
0	1	34	30	13	6	14
0	0	33	38	10	10	9
0	0	32	34	16	6	15
0	1	41	33	18	14	13
0	1	34	32	13	10	16
0	0	36	31	11	10	11
0	0	37	30	4	6	12
0	0	36	27	13	12	13
0	1	29	31	16	12	10
0	0	37	30	10	7	11
0	0	27	32	12	8	12
0	0	35	35	12	11	8
0	0	28	28	10	3	12
0	0	35	33	13	6	12
0	0	29	35	12	8	11
0	0	32	35	14	9	13
0	1	36	32	10	9	14
0	1	19	21	12	8	10
0	1	21	20	12	9	12
0	0	31	34	11	7	15
0	0	33	32	10	7	13
0	1	36	34	12	6	13
0	1	33	32	16	9	13
0	0	37	33	12	10	12
0	0	34	33	14	11	12
0	0	35	37	16	12	9
0	1	31	32	14	8	9
0	1	37	34	13	11	15
0	1	35	30	4	3	10
0	1	27	30	15	11	14
0	0	34	38	11	12	15
0	0	40	36	11	7	7
0	0	29	32	14	9	14
0	0	38	34	15	12	8
0	1	34	33	14	8	10
0	0	21	27	13	11	13
0	0	36	32	11	8	13
0	1	38	34	15	10	13
0	0	30	29	11	8	8
0	0	35	35	13	7	12
0	1	30	27	13	8	13
0	1	36	33	16	10	12
0	0	34	38	13	8	10
0	1	35	36	16	12	13
0	0	34	33	16	14	12
0	0	32	39	12	7	9
0	1	33	29	7	6	15
0	0	33	32	16	11	13
0	1	26	34	5	4	13
0	0	35	38	16	9	13
0	0	21	17	4	5	15
0	0	38	35	12	9	15
0	0	35	32	15	11	14
0	1	33	34	14	12	15
0	0	37	36	11	9	11
0	0	38	31	16	12	15
0	1	34	35	15	10	14
0	0	27	29	12	9	13
0	1	16	22	6	6	12
0	0	40	41	16	10	16
0	0	36	36	10	9	16
0	1	42	42	15	13	9
0	1	30	33	14	12	14

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 10 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155494&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155494&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155494&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Pop[t] = + 0.985718505933551 + 0.0412254210938821Gender[t] + 0.000675459158531547Connected[t] + 0.0045205451633781Separate[t] + 0.00201869192292777Learning[t] -0.00218884117828436Software[t] + 0.00646968604306754Happiness[t] -0.00502703670512313t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Pop[t] =  +  0.985718505933551 +  0.0412254210938821Gender[t] +  0.000675459158531547Connected[t] +  0.0045205451633781Separate[t] +  0.00201869192292777Learning[t] -0.00218884117828436Software[t] +  0.00646968604306754Happiness[t] -0.00502703670512313t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155494&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Pop[t] =  +  0.985718505933551 +  0.0412254210938821Gender[t] +  0.000675459158531547Connected[t] +  0.0045205451633781Separate[t] +  0.00201869192292777Learning[t] -0.00218884117828436Software[t] +  0.00646968604306754Happiness[t] -0.00502703670512313t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155494&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155494&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
Pop[t] = + 0.985718505933551 + 0.0412254210938821Gender[t] + 0.000675459158531547Connected[t] + 0.0045205451633781Separate[t] + 0.00201869192292777Learning[t] -0.00218884117828436Software[t] + 0.00646968604306754Happiness[t] -0.00502703670512313t + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)0.9857185059335510.1840565.355500
Gender0.04122542109388210.0311941.32160.1873930.093697
Connected0.0006754591585315470.0044250.15260.8787840.439392
Separate0.00452054516337810.00460.98270.3265810.163291
Learning0.002018691922927770.0079860.25280.8006130.400307
Software-0.002188841178284360.008529-0.25660.7976490.398825
Happiness0.006469686043067540.0063781.01440.3112720.155636
t-0.005027036705123130.000204-24.669100

\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) & 0.985718505933551 & 0.184056 & 5.3555 & 0 & 0 \tabularnewline
Gender & 0.0412254210938821 & 0.031194 & 1.3216 & 0.187393 & 0.093697 \tabularnewline
Connected & 0.000675459158531547 & 0.004425 & 0.1526 & 0.878784 & 0.439392 \tabularnewline
Separate & 0.0045205451633781 & 0.0046 & 0.9827 & 0.326581 & 0.163291 \tabularnewline
Learning & 0.00201869192292777 & 0.007986 & 0.2528 & 0.800613 & 0.400307 \tabularnewline
Software & -0.00218884117828436 & 0.008529 & -0.2566 & 0.797649 & 0.398825 \tabularnewline
Happiness & 0.00646968604306754 & 0.006378 & 1.0144 & 0.311272 & 0.155636 \tabularnewline
t & -0.00502703670512313 & 0.000204 & -24.6691 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155494&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]0.985718505933551[/C][C]0.184056[/C][C]5.3555[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Gender[/C][C]0.0412254210938821[/C][C]0.031194[/C][C]1.3216[/C][C]0.187393[/C][C]0.093697[/C][/ROW]
[ROW][C]Connected[/C][C]0.000675459158531547[/C][C]0.004425[/C][C]0.1526[/C][C]0.878784[/C][C]0.439392[/C][/ROW]
[ROW][C]Separate[/C][C]0.0045205451633781[/C][C]0.0046[/C][C]0.9827[/C][C]0.326581[/C][C]0.163291[/C][/ROW]
[ROW][C]Learning[/C][C]0.00201869192292777[/C][C]0.007986[/C][C]0.2528[/C][C]0.800613[/C][C]0.400307[/C][/ROW]
[ROW][C]Software[/C][C]-0.00218884117828436[/C][C]0.008529[/C][C]-0.2566[/C][C]0.797649[/C][C]0.398825[/C][/ROW]
[ROW][C]Happiness[/C][C]0.00646968604306754[/C][C]0.006378[/C][C]1.0144[/C][C]0.311272[/C][C]0.155636[/C][/ROW]
[ROW][C]t[/C][C]-0.00502703670512313[/C][C]0.000204[/C][C]-24.6691[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155494&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155494&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)0.9857185059335510.1840565.355500
Gender0.04122542109388210.0311941.32160.1873930.093697
Connected0.0006754591585315470.0044250.15260.8787840.439392
Separate0.00452054516337810.00460.98270.3265810.163291
Learning0.002018691922927770.0079860.25280.8006130.400307
Software-0.002188841178284360.008529-0.25660.7976490.398825
Happiness0.006469686043067540.0063781.01440.3112720.155636
t-0.005027036705123130.000204-24.669100






Multiple Linear Regression - Regression Statistics
Multiple R0.864929387532456
R-squared0.748102845417269
Adjusted R-squared0.741805416552701
F-TEST (value)118.79496561309
F-TEST (DF numerator)7
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.253300817225408
Sum Squared Residuals17.9651651219767

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.864929387532456 \tabularnewline
R-squared & 0.748102845417269 \tabularnewline
Adjusted R-squared & 0.741805416552701 \tabularnewline
F-TEST (value) & 118.79496561309 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 280 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.253300817225408 \tabularnewline
Sum Squared Residuals & 17.9651651219767 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155494&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.864929387532456[/C][/ROW]
[ROW][C]R-squared[/C][C]0.748102845417269[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.741805416552701[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]118.79496561309[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]280[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.253300817225408[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]17.9651651219767[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155494&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155494&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.864929387532456
R-squared0.748102845417269
Adjusted R-squared0.741805416552701
F-TEST (value)118.79496561309
F-TEST (DF numerator)7
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.253300817225408
Sum Squared Residuals17.9651651219767






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
111.31194393749207-0.311943937492066
211.31256637260895-0.312566372608949
311.26703474772135-0.267034747721349
411.23051114771004-0.230511147710035
511.29535625422925-0.295356254229253
611.2723275190737-0.272327519073697
711.26089913433818-0.260899134338184
811.26264507760901-0.262645077609014
911.26327709053428-0.263277090534284
1011.28107236393561-0.281072363935607
1111.21662077198227-0.216620771982266
1211.27359156327366-0.273591563273662
1311.17498339456749-0.17498339456749
1411.2664258310416-0.266425831041605
1511.25902819351784-0.25902819351784
1611.17066849142352-0.170668491423518
1711.16820042854571-0.168200428545711
1811.25799783761907-0.257997837619075
1911.19116323818183-0.191163238181827
2011.20222328454259-0.202223284542592
2111.17561958517138-0.175619585171385
2211.1546247765951-0.154624776595098
2311.20992152202158-0.209921522021576
2411.19344634666442-0.193446346664418
2511.14907927199881-0.14907927199881
2611.13268224518181-0.132682245181808
2711.14644976099368-0.146449760993677
2811.1659494295114-0.165949429511397
2911.15570627247533-0.155706272475326
3011.0845908281733-0.0845908281732954
3111.1397111845414-0.1397111845414
3211.0785676660868-0.0785676660867985
3311.14253854255905-0.142538542559052
3411.14932872876175-0.149328728761754
3511.06092538493018-0.0609253849301794
3611.08391787568397-0.0839178756839731
3711.01815788651846-0.0181578865184576
3811.06722651466508-0.0672265146650749
3911.11101003290592-0.111010032905916
4011.05197267621259-0.0519726762125861
4111.05671538474728-0.0567153847472831
4211.09346255666447-0.0934625566644688
4311.05093701833893-0.0509370183389251
4411.02135745950317-0.0213574595031704
4511.05638855367984-0.0563885536798362
4611.04601737166221-0.0460173716622061
4711.0894939535319-0.089493953531896
4811.06488326949672-0.0648832694967212
4911.09492285492977-0.0949228549297679
5010.9907930752711470.00920692472885303
5111.06913073530747-0.0691307353074748
5210.9784925249825920.0215074750174083
5310.9592029994359760.0407970005640241
5411.03171064051518-0.0317106405151827
5510.9603638793846270.0396361206153735
5611.04081487162173-0.0408148716217344
5711.02999223088951-0.0299922308895132
5811.01174091655601-0.0117409165560071
5910.9606943134781640.0393056865218355
6010.9907082223243160.00929177767568381
6110.8865682094232570.113431790576743
6210.9435471089822810.0564528910177187
6310.9642471474575880.0357528525424117
6410.9791319310950710.0208680689049292
6510.9663673199226690.0336326800773314
6610.9153950127917690.0846049872082308
6710.9495273028000150.0504726971999855
6810.8760939383207160.123906061679284
6910.9822466076735260.0177533923264745
7010.9278054454419710.0721945545580291
7110.9104577681815680.0895422318184323
7210.9654166450303550.034583354969645
7310.9619750890779950.0380249109220049
7410.9274655582398720.0725344417601277
7510.8438499790379080.156150020962092
7610.8991028241241720.100897175875828
7710.9459430588249050.0540569411750951
7810.8902653118482170.109734688151783
7910.844654554237090.15534544576291
8010.8207411729878870.179258827012113
8110.8666365782051750.133363421794825
8210.9087064260743750.0912935739256245
8310.8501737000590610.149826299940939
8410.8832344889537570.116765511046243
8510.8630591229751760.136940877024824
8610.8609694656513490.139030534348651
8710.8621890026984950.137810997301505
8810.8389493529894220.161050647010578
8910.800307889900470.19969211009953
9010.8726988785651630.127301121434837
9110.8240486253718480.175951374628152
9210.8765182396766570.123481760323344
9310.8022093604060280.197790639593972
9410.7936899666631430.206310033336857
9510.8523836087781590.147616391221841
9610.8090398408854720.190960159114528
9710.8062744420090450.193725557990955
9810.7877770726115870.212222927388413
9910.7758147568651410.224185243134859
10010.8242872874239420.175712712576058
10110.7470569186225430.252943081377457
10210.816819081330370.18318091866963
10310.6934933553099970.306506644690003
10410.8079906317496440.192009368250356
10510.687759538711240.31224046128876
10610.7895312102662540.210468789733746
10710.7548989326303610.245101067369639
10810.6982528304420140.301747169557986
10910.7715038421055670.228496157894433
11010.7510104670481360.248989532951864
11110.7118819178093270.288118082190673
11210.7652192891136760.234780710886324
11310.7563695438365470.243630456163453
11410.6936822516273650.306317748372635
11510.7423290209111760.257670979088824
11610.7489216492560060.251078350743994
11710.712031212117680.28796878788232
11810.7187692509590920.281230749040908
11910.6568534358541730.343146564145827
12010.6611132157904370.338886784209563
12110.7176633866081410.282336613391859
12210.7091187389933230.290881261006677
12310.6719425762413780.328057423758622
12410.6572809715505770.342719028449423
12510.646715899997210.35328410000279
12610.7197839389898450.280216061010155
12710.7070448866475890.292955113352411
12810.6534946304717720.346505369528228
12910.6025400319810330.397459968018967
13010.5501108765902840.449889123409716
13110.6745142880291370.325485711970863
13210.5731957537990110.426804246200989
13310.6129362126537990.387063787346201
13410.6135607727454930.386439227254507
13510.5031433716423750.496856628357625
13610.5800049366308460.419995063369154
13710.5882064997428490.411793500257151
13810.6143113321187720.385688667881228
13910.5527306776616720.447269322338328
14010.6103056489246420.389694351075358
14110.5785260612405640.421473938759436
14210.5836483199925810.416351680007419
14310.4970311382248470.502968861775153
14410.5763970743877690.423602925612231
14510.5530895132528810.446910486747119
14610.5099707499067130.490029250093287
14710.4921649125624240.507835087437576
14810.4747861881331410.525213811866859
14910.5882641750303990.411735824969601
15010.5544492390483760.445550760951624
15110.5374967679097650.462503232090235
15210.5595789359830160.440421064016984
15310.506151426604970.49384857339503
15410.5019894350976140.498010564902386
15510.5403136543826480.459686345617352
15610.5612608221990180.438739177800982
15710.4976499573068680.502350042693132
15810.5104173430650250.489582656934975
15900.391242684993048-0.391242684993048
16000.417155219527963-0.417155219527963
16100.458399997707275-0.458399997707275
16200.484919681051053-0.484919681051053
16300.391981633981327-0.391981633981327
16400.425486290003588-0.425486290003588
16500.401634187417993-0.401634187417993
16600.44540623682169-0.44540623682169
16700.395961095518369-0.395961095518369
16800.390751872060708-0.390751872060708
16900.478499377930262-0.478499377930262
17000.377598237960543-0.377598237960543
17100.386874852751483-0.386874852751483
17200.414658593652779-0.414658593652779
17300.386183974181159-0.386183974181159
17400.391350267629619-0.391350267629619
17500.344028177181677-0.344028177181677
17600.413149852732187-0.413149852732187
17700.405777328234144-0.405777328234144
17800.415796130334641-0.415796130334641
17900.338314843808835-0.338314843808835
18000.367098578314852-0.367098578314852
18100.340739644866012-0.340739644866012
18200.346857030690395-0.346857030690395
18300.381489424131831-0.381489424131831
18400.339574931784476-0.339574931784476
18500.369369649300261-0.369369649300261
18600.287167441258212-0.287167441258212
18700.312444912764673-0.312444912764673
18800.339377484674225-0.339377484674225
18900.379931825548862-0.379931825548862
19000.357302706704818-0.357302706704818
19100.337069522221968-0.337069522221968
19200.329424891806131-0.329424891806131
19300.293923644140136-0.293923644140136
19400.31797642245357-0.31797642245357
19500.332830674035331-0.332830674035331
19600.232207059013406-0.232207059013406
19700.215532555696623-0.215532555696623
19800.245611178809429-0.245611178809429
19900.260931416348636-0.260931416348636
20000.229998349022696-0.229998349022696
20100.302313177147735-0.302313177147735
20200.300436166393047-0.300436166393047
20300.296154139889693-0.296154139889693
20400.25613166783516-0.25613166783516
20500.213093619411162-0.213093619411162
20600.234199490209889-0.234199490209889
20700.214676314171824-0.214676314171824
20800.268165869581171-0.268165869581171
20900.210353461364104-0.210353461364104
21000.172428527690056-0.172428527690056
21100.225298856614465-0.225298856614465
21200.155331775754941-0.155331775754941
21300.256919514246773-0.256919514246773
21400.22814839460976-0.22814839460976
21500.147930978673773-0.147930978673773
21600.242781365150236-0.242781365150236
21700.138814049194305-0.138814049194305
21800.188119829949745-0.188119829949745
21900.161681631200287-0.161681631200287
22000.146937133065626-0.146937133065626
22100.206854599152639-0.206854599152639
22200.164610346495221-0.164610346495221
22300.126876357310729-0.126876357310729
22400.086069414659706-0.086069414659706
22500.111511218333469-0.111511218333469
22600.153101150492322-0.153101150492322
22700.095177724144551-0.095177724144551
22800.131078680136493-0.131078680136493
22900.142422934122104-0.142422934122104
23000.146218101371583-0.146218101371583
23100.0604102026650693-0.0604102026650693
23200.0526322872508102-0.0526322872508102
23300.0448730221767326-0.0448730221767326
23400.0810723907488639-0.0810723907488639
23500.0410048014516554-0.0410048014516554
23600.0465824921986118-0.0465824921986118
23700.0280754965447522-0.0280754965447522
23800.0260285193389509-0.0260285193389509
23900.0478219747943695-0.0478219747943695
24000.0349172131422491-0.0349172131422491
24100.0467044686664268-0.0467044686664268
24200.0704379725505342-0.0704379725505342
2430-0.01545038579491450.0154503857949145
2440-0.01289651843850180.0128965184385018
24500.0326612961979451-0.0326612961979451
24600.00498602347406615-0.00498602347406615
24700.058478100689316-0.058478100689316
24800.0438918403386999-0.0438918403386999
2490-0.0118715305758640.011871530575864
2500-0.01707640208901070.0170764020890107
2510-0.02090631444372120.0209063144437212
2520-0.005294511638696990.00529451163869699
25300.0330051977347499-0.0330051977347499
2540-0.02446086603636150.0244608660363615
2550-0.004317950111536380.00431795011153638
2560-0.01347175532072410.0134717553207241
2570-0.06430040985453260.0643004098545326
2580-0.04787348224332770.0478734822433277
2590-0.08114624406524130.0811462440652413
2600-0.03249419659764180.0324941965976418
2610-0.1038270517664040.103827051766404
2620-0.07359033558766590.0735903355876659
2630-0.02330285721994510.0233028572199451
2640-0.1336072296545730.133607229654573
2650-0.07602873039036020.0760287303903602
2660-0.07509115823650030.0750911582365003
2670-0.05373346164101840.0537334616410184
2680-0.09335187743854620.0933518774385462
2690-0.04880935503316340.0488093550331634
2700-0.1201462758804710.120146275880471
2710-0.1115628974953120.111562897495312
2720-0.08898100775975130.0889810077597513
2730-0.1273871807398290.127387180739829
2740-0.09375964303824970.0937596430382497
2750-0.1045893824961750.104589382496175
2760-0.2165338621275410.216533862127541
2770-0.1213141095265370.121314109526537
2780-0.1467204518282420.146720451828242
2790-0.1005697424879340.100569742487934
2800-0.1604475697322580.160447569732258
2810-0.1579961928436840.157996192843684
2820-0.1105281600449650.110528160044965
2830-0.1989690235675270.198969023567527
2840-0.2138598201120420.213859820112042
2850-0.1207006013136960.120700601313696
2860-0.1609555108291180.160955510829118
2870-0.1375308079088730.137530807908873
2880-0.1588296815160830.158829681516083

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1 & 1.31194393749207 & -0.311943937492066 \tabularnewline
2 & 1 & 1.31256637260895 & -0.312566372608949 \tabularnewline
3 & 1 & 1.26703474772135 & -0.267034747721349 \tabularnewline
4 & 1 & 1.23051114771004 & -0.230511147710035 \tabularnewline
5 & 1 & 1.29535625422925 & -0.295356254229253 \tabularnewline
6 & 1 & 1.2723275190737 & -0.272327519073697 \tabularnewline
7 & 1 & 1.26089913433818 & -0.260899134338184 \tabularnewline
8 & 1 & 1.26264507760901 & -0.262645077609014 \tabularnewline
9 & 1 & 1.26327709053428 & -0.263277090534284 \tabularnewline
10 & 1 & 1.28107236393561 & -0.281072363935607 \tabularnewline
11 & 1 & 1.21662077198227 & -0.216620771982266 \tabularnewline
12 & 1 & 1.27359156327366 & -0.273591563273662 \tabularnewline
13 & 1 & 1.17498339456749 & -0.17498339456749 \tabularnewline
14 & 1 & 1.2664258310416 & -0.266425831041605 \tabularnewline
15 & 1 & 1.25902819351784 & -0.25902819351784 \tabularnewline
16 & 1 & 1.17066849142352 & -0.170668491423518 \tabularnewline
17 & 1 & 1.16820042854571 & -0.168200428545711 \tabularnewline
18 & 1 & 1.25799783761907 & -0.257997837619075 \tabularnewline
19 & 1 & 1.19116323818183 & -0.191163238181827 \tabularnewline
20 & 1 & 1.20222328454259 & -0.202223284542592 \tabularnewline
21 & 1 & 1.17561958517138 & -0.175619585171385 \tabularnewline
22 & 1 & 1.1546247765951 & -0.154624776595098 \tabularnewline
23 & 1 & 1.20992152202158 & -0.209921522021576 \tabularnewline
24 & 1 & 1.19344634666442 & -0.193446346664418 \tabularnewline
25 & 1 & 1.14907927199881 & -0.14907927199881 \tabularnewline
26 & 1 & 1.13268224518181 & -0.132682245181808 \tabularnewline
27 & 1 & 1.14644976099368 & -0.146449760993677 \tabularnewline
28 & 1 & 1.1659494295114 & -0.165949429511397 \tabularnewline
29 & 1 & 1.15570627247533 & -0.155706272475326 \tabularnewline
30 & 1 & 1.0845908281733 & -0.0845908281732954 \tabularnewline
31 & 1 & 1.1397111845414 & -0.1397111845414 \tabularnewline
32 & 1 & 1.0785676660868 & -0.0785676660867985 \tabularnewline
33 & 1 & 1.14253854255905 & -0.142538542559052 \tabularnewline
34 & 1 & 1.14932872876175 & -0.149328728761754 \tabularnewline
35 & 1 & 1.06092538493018 & -0.0609253849301794 \tabularnewline
36 & 1 & 1.08391787568397 & -0.0839178756839731 \tabularnewline
37 & 1 & 1.01815788651846 & -0.0181578865184576 \tabularnewline
38 & 1 & 1.06722651466508 & -0.0672265146650749 \tabularnewline
39 & 1 & 1.11101003290592 & -0.111010032905916 \tabularnewline
40 & 1 & 1.05197267621259 & -0.0519726762125861 \tabularnewline
41 & 1 & 1.05671538474728 & -0.0567153847472831 \tabularnewline
42 & 1 & 1.09346255666447 & -0.0934625566644688 \tabularnewline
43 & 1 & 1.05093701833893 & -0.0509370183389251 \tabularnewline
44 & 1 & 1.02135745950317 & -0.0213574595031704 \tabularnewline
45 & 1 & 1.05638855367984 & -0.0563885536798362 \tabularnewline
46 & 1 & 1.04601737166221 & -0.0460173716622061 \tabularnewline
47 & 1 & 1.0894939535319 & -0.089493953531896 \tabularnewline
48 & 1 & 1.06488326949672 & -0.0648832694967212 \tabularnewline
49 & 1 & 1.09492285492977 & -0.0949228549297679 \tabularnewline
50 & 1 & 0.990793075271147 & 0.00920692472885303 \tabularnewline
51 & 1 & 1.06913073530747 & -0.0691307353074748 \tabularnewline
52 & 1 & 0.978492524982592 & 0.0215074750174083 \tabularnewline
53 & 1 & 0.959202999435976 & 0.0407970005640241 \tabularnewline
54 & 1 & 1.03171064051518 & -0.0317106405151827 \tabularnewline
55 & 1 & 0.960363879384627 & 0.0396361206153735 \tabularnewline
56 & 1 & 1.04081487162173 & -0.0408148716217344 \tabularnewline
57 & 1 & 1.02999223088951 & -0.0299922308895132 \tabularnewline
58 & 1 & 1.01174091655601 & -0.0117409165560071 \tabularnewline
59 & 1 & 0.960694313478164 & 0.0393056865218355 \tabularnewline
60 & 1 & 0.990708222324316 & 0.00929177767568381 \tabularnewline
61 & 1 & 0.886568209423257 & 0.113431790576743 \tabularnewline
62 & 1 & 0.943547108982281 & 0.0564528910177187 \tabularnewline
63 & 1 & 0.964247147457588 & 0.0357528525424117 \tabularnewline
64 & 1 & 0.979131931095071 & 0.0208680689049292 \tabularnewline
65 & 1 & 0.966367319922669 & 0.0336326800773314 \tabularnewline
66 & 1 & 0.915395012791769 & 0.0846049872082308 \tabularnewline
67 & 1 & 0.949527302800015 & 0.0504726971999855 \tabularnewline
68 & 1 & 0.876093938320716 & 0.123906061679284 \tabularnewline
69 & 1 & 0.982246607673526 & 0.0177533923264745 \tabularnewline
70 & 1 & 0.927805445441971 & 0.0721945545580291 \tabularnewline
71 & 1 & 0.910457768181568 & 0.0895422318184323 \tabularnewline
72 & 1 & 0.965416645030355 & 0.034583354969645 \tabularnewline
73 & 1 & 0.961975089077995 & 0.0380249109220049 \tabularnewline
74 & 1 & 0.927465558239872 & 0.0725344417601277 \tabularnewline
75 & 1 & 0.843849979037908 & 0.156150020962092 \tabularnewline
76 & 1 & 0.899102824124172 & 0.100897175875828 \tabularnewline
77 & 1 & 0.945943058824905 & 0.0540569411750951 \tabularnewline
78 & 1 & 0.890265311848217 & 0.109734688151783 \tabularnewline
79 & 1 & 0.84465455423709 & 0.15534544576291 \tabularnewline
80 & 1 & 0.820741172987887 & 0.179258827012113 \tabularnewline
81 & 1 & 0.866636578205175 & 0.133363421794825 \tabularnewline
82 & 1 & 0.908706426074375 & 0.0912935739256245 \tabularnewline
83 & 1 & 0.850173700059061 & 0.149826299940939 \tabularnewline
84 & 1 & 0.883234488953757 & 0.116765511046243 \tabularnewline
85 & 1 & 0.863059122975176 & 0.136940877024824 \tabularnewline
86 & 1 & 0.860969465651349 & 0.139030534348651 \tabularnewline
87 & 1 & 0.862189002698495 & 0.137810997301505 \tabularnewline
88 & 1 & 0.838949352989422 & 0.161050647010578 \tabularnewline
89 & 1 & 0.80030788990047 & 0.19969211009953 \tabularnewline
90 & 1 & 0.872698878565163 & 0.127301121434837 \tabularnewline
91 & 1 & 0.824048625371848 & 0.175951374628152 \tabularnewline
92 & 1 & 0.876518239676657 & 0.123481760323344 \tabularnewline
93 & 1 & 0.802209360406028 & 0.197790639593972 \tabularnewline
94 & 1 & 0.793689966663143 & 0.206310033336857 \tabularnewline
95 & 1 & 0.852383608778159 & 0.147616391221841 \tabularnewline
96 & 1 & 0.809039840885472 & 0.190960159114528 \tabularnewline
97 & 1 & 0.806274442009045 & 0.193725557990955 \tabularnewline
98 & 1 & 0.787777072611587 & 0.212222927388413 \tabularnewline
99 & 1 & 0.775814756865141 & 0.224185243134859 \tabularnewline
100 & 1 & 0.824287287423942 & 0.175712712576058 \tabularnewline
101 & 1 & 0.747056918622543 & 0.252943081377457 \tabularnewline
102 & 1 & 0.81681908133037 & 0.18318091866963 \tabularnewline
103 & 1 & 0.693493355309997 & 0.306506644690003 \tabularnewline
104 & 1 & 0.807990631749644 & 0.192009368250356 \tabularnewline
105 & 1 & 0.68775953871124 & 0.31224046128876 \tabularnewline
106 & 1 & 0.789531210266254 & 0.210468789733746 \tabularnewline
107 & 1 & 0.754898932630361 & 0.245101067369639 \tabularnewline
108 & 1 & 0.698252830442014 & 0.301747169557986 \tabularnewline
109 & 1 & 0.771503842105567 & 0.228496157894433 \tabularnewline
110 & 1 & 0.751010467048136 & 0.248989532951864 \tabularnewline
111 & 1 & 0.711881917809327 & 0.288118082190673 \tabularnewline
112 & 1 & 0.765219289113676 & 0.234780710886324 \tabularnewline
113 & 1 & 0.756369543836547 & 0.243630456163453 \tabularnewline
114 & 1 & 0.693682251627365 & 0.306317748372635 \tabularnewline
115 & 1 & 0.742329020911176 & 0.257670979088824 \tabularnewline
116 & 1 & 0.748921649256006 & 0.251078350743994 \tabularnewline
117 & 1 & 0.71203121211768 & 0.28796878788232 \tabularnewline
118 & 1 & 0.718769250959092 & 0.281230749040908 \tabularnewline
119 & 1 & 0.656853435854173 & 0.343146564145827 \tabularnewline
120 & 1 & 0.661113215790437 & 0.338886784209563 \tabularnewline
121 & 1 & 0.717663386608141 & 0.282336613391859 \tabularnewline
122 & 1 & 0.709118738993323 & 0.290881261006677 \tabularnewline
123 & 1 & 0.671942576241378 & 0.328057423758622 \tabularnewline
124 & 1 & 0.657280971550577 & 0.342719028449423 \tabularnewline
125 & 1 & 0.64671589999721 & 0.35328410000279 \tabularnewline
126 & 1 & 0.719783938989845 & 0.280216061010155 \tabularnewline
127 & 1 & 0.707044886647589 & 0.292955113352411 \tabularnewline
128 & 1 & 0.653494630471772 & 0.346505369528228 \tabularnewline
129 & 1 & 0.602540031981033 & 0.397459968018967 \tabularnewline
130 & 1 & 0.550110876590284 & 0.449889123409716 \tabularnewline
131 & 1 & 0.674514288029137 & 0.325485711970863 \tabularnewline
132 & 1 & 0.573195753799011 & 0.426804246200989 \tabularnewline
133 & 1 & 0.612936212653799 & 0.387063787346201 \tabularnewline
134 & 1 & 0.613560772745493 & 0.386439227254507 \tabularnewline
135 & 1 & 0.503143371642375 & 0.496856628357625 \tabularnewline
136 & 1 & 0.580004936630846 & 0.419995063369154 \tabularnewline
137 & 1 & 0.588206499742849 & 0.411793500257151 \tabularnewline
138 & 1 & 0.614311332118772 & 0.385688667881228 \tabularnewline
139 & 1 & 0.552730677661672 & 0.447269322338328 \tabularnewline
140 & 1 & 0.610305648924642 & 0.389694351075358 \tabularnewline
141 & 1 & 0.578526061240564 & 0.421473938759436 \tabularnewline
142 & 1 & 0.583648319992581 & 0.416351680007419 \tabularnewline
143 & 1 & 0.497031138224847 & 0.502968861775153 \tabularnewline
144 & 1 & 0.576397074387769 & 0.423602925612231 \tabularnewline
145 & 1 & 0.553089513252881 & 0.446910486747119 \tabularnewline
146 & 1 & 0.509970749906713 & 0.490029250093287 \tabularnewline
147 & 1 & 0.492164912562424 & 0.507835087437576 \tabularnewline
148 & 1 & 0.474786188133141 & 0.525213811866859 \tabularnewline
149 & 1 & 0.588264175030399 & 0.411735824969601 \tabularnewline
150 & 1 & 0.554449239048376 & 0.445550760951624 \tabularnewline
151 & 1 & 0.537496767909765 & 0.462503232090235 \tabularnewline
152 & 1 & 0.559578935983016 & 0.440421064016984 \tabularnewline
153 & 1 & 0.50615142660497 & 0.49384857339503 \tabularnewline
154 & 1 & 0.501989435097614 & 0.498010564902386 \tabularnewline
155 & 1 & 0.540313654382648 & 0.459686345617352 \tabularnewline
156 & 1 & 0.561260822199018 & 0.438739177800982 \tabularnewline
157 & 1 & 0.497649957306868 & 0.502350042693132 \tabularnewline
158 & 1 & 0.510417343065025 & 0.489582656934975 \tabularnewline
159 & 0 & 0.391242684993048 & -0.391242684993048 \tabularnewline
160 & 0 & 0.417155219527963 & -0.417155219527963 \tabularnewline
161 & 0 & 0.458399997707275 & -0.458399997707275 \tabularnewline
162 & 0 & 0.484919681051053 & -0.484919681051053 \tabularnewline
163 & 0 & 0.391981633981327 & -0.391981633981327 \tabularnewline
164 & 0 & 0.425486290003588 & -0.425486290003588 \tabularnewline
165 & 0 & 0.401634187417993 & -0.401634187417993 \tabularnewline
166 & 0 & 0.44540623682169 & -0.44540623682169 \tabularnewline
167 & 0 & 0.395961095518369 & -0.395961095518369 \tabularnewline
168 & 0 & 0.390751872060708 & -0.390751872060708 \tabularnewline
169 & 0 & 0.478499377930262 & -0.478499377930262 \tabularnewline
170 & 0 & 0.377598237960543 & -0.377598237960543 \tabularnewline
171 & 0 & 0.386874852751483 & -0.386874852751483 \tabularnewline
172 & 0 & 0.414658593652779 & -0.414658593652779 \tabularnewline
173 & 0 & 0.386183974181159 & -0.386183974181159 \tabularnewline
174 & 0 & 0.391350267629619 & -0.391350267629619 \tabularnewline
175 & 0 & 0.344028177181677 & -0.344028177181677 \tabularnewline
176 & 0 & 0.413149852732187 & -0.413149852732187 \tabularnewline
177 & 0 & 0.405777328234144 & -0.405777328234144 \tabularnewline
178 & 0 & 0.415796130334641 & -0.415796130334641 \tabularnewline
179 & 0 & 0.338314843808835 & -0.338314843808835 \tabularnewline
180 & 0 & 0.367098578314852 & -0.367098578314852 \tabularnewline
181 & 0 & 0.340739644866012 & -0.340739644866012 \tabularnewline
182 & 0 & 0.346857030690395 & -0.346857030690395 \tabularnewline
183 & 0 & 0.381489424131831 & -0.381489424131831 \tabularnewline
184 & 0 & 0.339574931784476 & -0.339574931784476 \tabularnewline
185 & 0 & 0.369369649300261 & -0.369369649300261 \tabularnewline
186 & 0 & 0.287167441258212 & -0.287167441258212 \tabularnewline
187 & 0 & 0.312444912764673 & -0.312444912764673 \tabularnewline
188 & 0 & 0.339377484674225 & -0.339377484674225 \tabularnewline
189 & 0 & 0.379931825548862 & -0.379931825548862 \tabularnewline
190 & 0 & 0.357302706704818 & -0.357302706704818 \tabularnewline
191 & 0 & 0.337069522221968 & -0.337069522221968 \tabularnewline
192 & 0 & 0.329424891806131 & -0.329424891806131 \tabularnewline
193 & 0 & 0.293923644140136 & -0.293923644140136 \tabularnewline
194 & 0 & 0.31797642245357 & -0.31797642245357 \tabularnewline
195 & 0 & 0.332830674035331 & -0.332830674035331 \tabularnewline
196 & 0 & 0.232207059013406 & -0.232207059013406 \tabularnewline
197 & 0 & 0.215532555696623 & -0.215532555696623 \tabularnewline
198 & 0 & 0.245611178809429 & -0.245611178809429 \tabularnewline
199 & 0 & 0.260931416348636 & -0.260931416348636 \tabularnewline
200 & 0 & 0.229998349022696 & -0.229998349022696 \tabularnewline
201 & 0 & 0.302313177147735 & -0.302313177147735 \tabularnewline
202 & 0 & 0.300436166393047 & -0.300436166393047 \tabularnewline
203 & 0 & 0.296154139889693 & -0.296154139889693 \tabularnewline
204 & 0 & 0.25613166783516 & -0.25613166783516 \tabularnewline
205 & 0 & 0.213093619411162 & -0.213093619411162 \tabularnewline
206 & 0 & 0.234199490209889 & -0.234199490209889 \tabularnewline
207 & 0 & 0.214676314171824 & -0.214676314171824 \tabularnewline
208 & 0 & 0.268165869581171 & -0.268165869581171 \tabularnewline
209 & 0 & 0.210353461364104 & -0.210353461364104 \tabularnewline
210 & 0 & 0.172428527690056 & -0.172428527690056 \tabularnewline
211 & 0 & 0.225298856614465 & -0.225298856614465 \tabularnewline
212 & 0 & 0.155331775754941 & -0.155331775754941 \tabularnewline
213 & 0 & 0.256919514246773 & -0.256919514246773 \tabularnewline
214 & 0 & 0.22814839460976 & -0.22814839460976 \tabularnewline
215 & 0 & 0.147930978673773 & -0.147930978673773 \tabularnewline
216 & 0 & 0.242781365150236 & -0.242781365150236 \tabularnewline
217 & 0 & 0.138814049194305 & -0.138814049194305 \tabularnewline
218 & 0 & 0.188119829949745 & -0.188119829949745 \tabularnewline
219 & 0 & 0.161681631200287 & -0.161681631200287 \tabularnewline
220 & 0 & 0.146937133065626 & -0.146937133065626 \tabularnewline
221 & 0 & 0.206854599152639 & -0.206854599152639 \tabularnewline
222 & 0 & 0.164610346495221 & -0.164610346495221 \tabularnewline
223 & 0 & 0.126876357310729 & -0.126876357310729 \tabularnewline
224 & 0 & 0.086069414659706 & -0.086069414659706 \tabularnewline
225 & 0 & 0.111511218333469 & -0.111511218333469 \tabularnewline
226 & 0 & 0.153101150492322 & -0.153101150492322 \tabularnewline
227 & 0 & 0.095177724144551 & -0.095177724144551 \tabularnewline
228 & 0 & 0.131078680136493 & -0.131078680136493 \tabularnewline
229 & 0 & 0.142422934122104 & -0.142422934122104 \tabularnewline
230 & 0 & 0.146218101371583 & -0.146218101371583 \tabularnewline
231 & 0 & 0.0604102026650693 & -0.0604102026650693 \tabularnewline
232 & 0 & 0.0526322872508102 & -0.0526322872508102 \tabularnewline
233 & 0 & 0.0448730221767326 & -0.0448730221767326 \tabularnewline
234 & 0 & 0.0810723907488639 & -0.0810723907488639 \tabularnewline
235 & 0 & 0.0410048014516554 & -0.0410048014516554 \tabularnewline
236 & 0 & 0.0465824921986118 & -0.0465824921986118 \tabularnewline
237 & 0 & 0.0280754965447522 & -0.0280754965447522 \tabularnewline
238 & 0 & 0.0260285193389509 & -0.0260285193389509 \tabularnewline
239 & 0 & 0.0478219747943695 & -0.0478219747943695 \tabularnewline
240 & 0 & 0.0349172131422491 & -0.0349172131422491 \tabularnewline
241 & 0 & 0.0467044686664268 & -0.0467044686664268 \tabularnewline
242 & 0 & 0.0704379725505342 & -0.0704379725505342 \tabularnewline
243 & 0 & -0.0154503857949145 & 0.0154503857949145 \tabularnewline
244 & 0 & -0.0128965184385018 & 0.0128965184385018 \tabularnewline
245 & 0 & 0.0326612961979451 & -0.0326612961979451 \tabularnewline
246 & 0 & 0.00498602347406615 & -0.00498602347406615 \tabularnewline
247 & 0 & 0.058478100689316 & -0.058478100689316 \tabularnewline
248 & 0 & 0.0438918403386999 & -0.0438918403386999 \tabularnewline
249 & 0 & -0.011871530575864 & 0.011871530575864 \tabularnewline
250 & 0 & -0.0170764020890107 & 0.0170764020890107 \tabularnewline
251 & 0 & -0.0209063144437212 & 0.0209063144437212 \tabularnewline
252 & 0 & -0.00529451163869699 & 0.00529451163869699 \tabularnewline
253 & 0 & 0.0330051977347499 & -0.0330051977347499 \tabularnewline
254 & 0 & -0.0244608660363615 & 0.0244608660363615 \tabularnewline
255 & 0 & -0.00431795011153638 & 0.00431795011153638 \tabularnewline
256 & 0 & -0.0134717553207241 & 0.0134717553207241 \tabularnewline
257 & 0 & -0.0643004098545326 & 0.0643004098545326 \tabularnewline
258 & 0 & -0.0478734822433277 & 0.0478734822433277 \tabularnewline
259 & 0 & -0.0811462440652413 & 0.0811462440652413 \tabularnewline
260 & 0 & -0.0324941965976418 & 0.0324941965976418 \tabularnewline
261 & 0 & -0.103827051766404 & 0.103827051766404 \tabularnewline
262 & 0 & -0.0735903355876659 & 0.0735903355876659 \tabularnewline
263 & 0 & -0.0233028572199451 & 0.0233028572199451 \tabularnewline
264 & 0 & -0.133607229654573 & 0.133607229654573 \tabularnewline
265 & 0 & -0.0760287303903602 & 0.0760287303903602 \tabularnewline
266 & 0 & -0.0750911582365003 & 0.0750911582365003 \tabularnewline
267 & 0 & -0.0537334616410184 & 0.0537334616410184 \tabularnewline
268 & 0 & -0.0933518774385462 & 0.0933518774385462 \tabularnewline
269 & 0 & -0.0488093550331634 & 0.0488093550331634 \tabularnewline
270 & 0 & -0.120146275880471 & 0.120146275880471 \tabularnewline
271 & 0 & -0.111562897495312 & 0.111562897495312 \tabularnewline
272 & 0 & -0.0889810077597513 & 0.0889810077597513 \tabularnewline
273 & 0 & -0.127387180739829 & 0.127387180739829 \tabularnewline
274 & 0 & -0.0937596430382497 & 0.0937596430382497 \tabularnewline
275 & 0 & -0.104589382496175 & 0.104589382496175 \tabularnewline
276 & 0 & -0.216533862127541 & 0.216533862127541 \tabularnewline
277 & 0 & -0.121314109526537 & 0.121314109526537 \tabularnewline
278 & 0 & -0.146720451828242 & 0.146720451828242 \tabularnewline
279 & 0 & -0.100569742487934 & 0.100569742487934 \tabularnewline
280 & 0 & -0.160447569732258 & 0.160447569732258 \tabularnewline
281 & 0 & -0.157996192843684 & 0.157996192843684 \tabularnewline
282 & 0 & -0.110528160044965 & 0.110528160044965 \tabularnewline
283 & 0 & -0.198969023567527 & 0.198969023567527 \tabularnewline
284 & 0 & -0.213859820112042 & 0.213859820112042 \tabularnewline
285 & 0 & -0.120700601313696 & 0.120700601313696 \tabularnewline
286 & 0 & -0.160955510829118 & 0.160955510829118 \tabularnewline
287 & 0 & -0.137530807908873 & 0.137530807908873 \tabularnewline
288 & 0 & -0.158829681516083 & 0.158829681516083 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155494&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]1[/C][C]1.31194393749207[/C][C]-0.311943937492066[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]1.31256637260895[/C][C]-0.312566372608949[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]1.26703474772135[/C][C]-0.267034747721349[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]1.23051114771004[/C][C]-0.230511147710035[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]1.29535625422925[/C][C]-0.295356254229253[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]1.2723275190737[/C][C]-0.272327519073697[/C][/ROW]
[ROW][C]7[/C][C]1[/C][C]1.26089913433818[/C][C]-0.260899134338184[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]1.26264507760901[/C][C]-0.262645077609014[/C][/ROW]
[ROW][C]9[/C][C]1[/C][C]1.26327709053428[/C][C]-0.263277090534284[/C][/ROW]
[ROW][C]10[/C][C]1[/C][C]1.28107236393561[/C][C]-0.281072363935607[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]1.21662077198227[/C][C]-0.216620771982266[/C][/ROW]
[ROW][C]12[/C][C]1[/C][C]1.27359156327366[/C][C]-0.273591563273662[/C][/ROW]
[ROW][C]13[/C][C]1[/C][C]1.17498339456749[/C][C]-0.17498339456749[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]1.2664258310416[/C][C]-0.266425831041605[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]1.25902819351784[/C][C]-0.25902819351784[/C][/ROW]
[ROW][C]16[/C][C]1[/C][C]1.17066849142352[/C][C]-0.170668491423518[/C][/ROW]
[ROW][C]17[/C][C]1[/C][C]1.16820042854571[/C][C]-0.168200428545711[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]1.25799783761907[/C][C]-0.257997837619075[/C][/ROW]
[ROW][C]19[/C][C]1[/C][C]1.19116323818183[/C][C]-0.191163238181827[/C][/ROW]
[ROW][C]20[/C][C]1[/C][C]1.20222328454259[/C][C]-0.202223284542592[/C][/ROW]
[ROW][C]21[/C][C]1[/C][C]1.17561958517138[/C][C]-0.175619585171385[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]1.1546247765951[/C][C]-0.154624776595098[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]1.20992152202158[/C][C]-0.209921522021576[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]1.19344634666442[/C][C]-0.193446346664418[/C][/ROW]
[ROW][C]25[/C][C]1[/C][C]1.14907927199881[/C][C]-0.14907927199881[/C][/ROW]
[ROW][C]26[/C][C]1[/C][C]1.13268224518181[/C][C]-0.132682245181808[/C][/ROW]
[ROW][C]27[/C][C]1[/C][C]1.14644976099368[/C][C]-0.146449760993677[/C][/ROW]
[ROW][C]28[/C][C]1[/C][C]1.1659494295114[/C][C]-0.165949429511397[/C][/ROW]
[ROW][C]29[/C][C]1[/C][C]1.15570627247533[/C][C]-0.155706272475326[/C][/ROW]
[ROW][C]30[/C][C]1[/C][C]1.0845908281733[/C][C]-0.0845908281732954[/C][/ROW]
[ROW][C]31[/C][C]1[/C][C]1.1397111845414[/C][C]-0.1397111845414[/C][/ROW]
[ROW][C]32[/C][C]1[/C][C]1.0785676660868[/C][C]-0.0785676660867985[/C][/ROW]
[ROW][C]33[/C][C]1[/C][C]1.14253854255905[/C][C]-0.142538542559052[/C][/ROW]
[ROW][C]34[/C][C]1[/C][C]1.14932872876175[/C][C]-0.149328728761754[/C][/ROW]
[ROW][C]35[/C][C]1[/C][C]1.06092538493018[/C][C]-0.0609253849301794[/C][/ROW]
[ROW][C]36[/C][C]1[/C][C]1.08391787568397[/C][C]-0.0839178756839731[/C][/ROW]
[ROW][C]37[/C][C]1[/C][C]1.01815788651846[/C][C]-0.0181578865184576[/C][/ROW]
[ROW][C]38[/C][C]1[/C][C]1.06722651466508[/C][C]-0.0672265146650749[/C][/ROW]
[ROW][C]39[/C][C]1[/C][C]1.11101003290592[/C][C]-0.111010032905916[/C][/ROW]
[ROW][C]40[/C][C]1[/C][C]1.05197267621259[/C][C]-0.0519726762125861[/C][/ROW]
[ROW][C]41[/C][C]1[/C][C]1.05671538474728[/C][C]-0.0567153847472831[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]1.09346255666447[/C][C]-0.0934625566644688[/C][/ROW]
[ROW][C]43[/C][C]1[/C][C]1.05093701833893[/C][C]-0.0509370183389251[/C][/ROW]
[ROW][C]44[/C][C]1[/C][C]1.02135745950317[/C][C]-0.0213574595031704[/C][/ROW]
[ROW][C]45[/C][C]1[/C][C]1.05638855367984[/C][C]-0.0563885536798362[/C][/ROW]
[ROW][C]46[/C][C]1[/C][C]1.04601737166221[/C][C]-0.0460173716622061[/C][/ROW]
[ROW][C]47[/C][C]1[/C][C]1.0894939535319[/C][C]-0.089493953531896[/C][/ROW]
[ROW][C]48[/C][C]1[/C][C]1.06488326949672[/C][C]-0.0648832694967212[/C][/ROW]
[ROW][C]49[/C][C]1[/C][C]1.09492285492977[/C][C]-0.0949228549297679[/C][/ROW]
[ROW][C]50[/C][C]1[/C][C]0.990793075271147[/C][C]0.00920692472885303[/C][/ROW]
[ROW][C]51[/C][C]1[/C][C]1.06913073530747[/C][C]-0.0691307353074748[/C][/ROW]
[ROW][C]52[/C][C]1[/C][C]0.978492524982592[/C][C]0.0215074750174083[/C][/ROW]
[ROW][C]53[/C][C]1[/C][C]0.959202999435976[/C][C]0.0407970005640241[/C][/ROW]
[ROW][C]54[/C][C]1[/C][C]1.03171064051518[/C][C]-0.0317106405151827[/C][/ROW]
[ROW][C]55[/C][C]1[/C][C]0.960363879384627[/C][C]0.0396361206153735[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]1.04081487162173[/C][C]-0.0408148716217344[/C][/ROW]
[ROW][C]57[/C][C]1[/C][C]1.02999223088951[/C][C]-0.0299922308895132[/C][/ROW]
[ROW][C]58[/C][C]1[/C][C]1.01174091655601[/C][C]-0.0117409165560071[/C][/ROW]
[ROW][C]59[/C][C]1[/C][C]0.960694313478164[/C][C]0.0393056865218355[/C][/ROW]
[ROW][C]60[/C][C]1[/C][C]0.990708222324316[/C][C]0.00929177767568381[/C][/ROW]
[ROW][C]61[/C][C]1[/C][C]0.886568209423257[/C][C]0.113431790576743[/C][/ROW]
[ROW][C]62[/C][C]1[/C][C]0.943547108982281[/C][C]0.0564528910177187[/C][/ROW]
[ROW][C]63[/C][C]1[/C][C]0.964247147457588[/C][C]0.0357528525424117[/C][/ROW]
[ROW][C]64[/C][C]1[/C][C]0.979131931095071[/C][C]0.0208680689049292[/C][/ROW]
[ROW][C]65[/C][C]1[/C][C]0.966367319922669[/C][C]0.0336326800773314[/C][/ROW]
[ROW][C]66[/C][C]1[/C][C]0.915395012791769[/C][C]0.0846049872082308[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]0.949527302800015[/C][C]0.0504726971999855[/C][/ROW]
[ROW][C]68[/C][C]1[/C][C]0.876093938320716[/C][C]0.123906061679284[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]0.982246607673526[/C][C]0.0177533923264745[/C][/ROW]
[ROW][C]70[/C][C]1[/C][C]0.927805445441971[/C][C]0.0721945545580291[/C][/ROW]
[ROW][C]71[/C][C]1[/C][C]0.910457768181568[/C][C]0.0895422318184323[/C][/ROW]
[ROW][C]72[/C][C]1[/C][C]0.965416645030355[/C][C]0.034583354969645[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]0.961975089077995[/C][C]0.0380249109220049[/C][/ROW]
[ROW][C]74[/C][C]1[/C][C]0.927465558239872[/C][C]0.0725344417601277[/C][/ROW]
[ROW][C]75[/C][C]1[/C][C]0.843849979037908[/C][C]0.156150020962092[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]0.899102824124172[/C][C]0.100897175875828[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]0.945943058824905[/C][C]0.0540569411750951[/C][/ROW]
[ROW][C]78[/C][C]1[/C][C]0.890265311848217[/C][C]0.109734688151783[/C][/ROW]
[ROW][C]79[/C][C]1[/C][C]0.84465455423709[/C][C]0.15534544576291[/C][/ROW]
[ROW][C]80[/C][C]1[/C][C]0.820741172987887[/C][C]0.179258827012113[/C][/ROW]
[ROW][C]81[/C][C]1[/C][C]0.866636578205175[/C][C]0.133363421794825[/C][/ROW]
[ROW][C]82[/C][C]1[/C][C]0.908706426074375[/C][C]0.0912935739256245[/C][/ROW]
[ROW][C]83[/C][C]1[/C][C]0.850173700059061[/C][C]0.149826299940939[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]0.883234488953757[/C][C]0.116765511046243[/C][/ROW]
[ROW][C]85[/C][C]1[/C][C]0.863059122975176[/C][C]0.136940877024824[/C][/ROW]
[ROW][C]86[/C][C]1[/C][C]0.860969465651349[/C][C]0.139030534348651[/C][/ROW]
[ROW][C]87[/C][C]1[/C][C]0.862189002698495[/C][C]0.137810997301505[/C][/ROW]
[ROW][C]88[/C][C]1[/C][C]0.838949352989422[/C][C]0.161050647010578[/C][/ROW]
[ROW][C]89[/C][C]1[/C][C]0.80030788990047[/C][C]0.19969211009953[/C][/ROW]
[ROW][C]90[/C][C]1[/C][C]0.872698878565163[/C][C]0.127301121434837[/C][/ROW]
[ROW][C]91[/C][C]1[/C][C]0.824048625371848[/C][C]0.175951374628152[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]0.876518239676657[/C][C]0.123481760323344[/C][/ROW]
[ROW][C]93[/C][C]1[/C][C]0.802209360406028[/C][C]0.197790639593972[/C][/ROW]
[ROW][C]94[/C][C]1[/C][C]0.793689966663143[/C][C]0.206310033336857[/C][/ROW]
[ROW][C]95[/C][C]1[/C][C]0.852383608778159[/C][C]0.147616391221841[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]0.809039840885472[/C][C]0.190960159114528[/C][/ROW]
[ROW][C]97[/C][C]1[/C][C]0.806274442009045[/C][C]0.193725557990955[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]0.787777072611587[/C][C]0.212222927388413[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]0.775814756865141[/C][C]0.224185243134859[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]0.824287287423942[/C][C]0.175712712576058[/C][/ROW]
[ROW][C]101[/C][C]1[/C][C]0.747056918622543[/C][C]0.252943081377457[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]0.81681908133037[/C][C]0.18318091866963[/C][/ROW]
[ROW][C]103[/C][C]1[/C][C]0.693493355309997[/C][C]0.306506644690003[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]0.807990631749644[/C][C]0.192009368250356[/C][/ROW]
[ROW][C]105[/C][C]1[/C][C]0.68775953871124[/C][C]0.31224046128876[/C][/ROW]
[ROW][C]106[/C][C]1[/C][C]0.789531210266254[/C][C]0.210468789733746[/C][/ROW]
[ROW][C]107[/C][C]1[/C][C]0.754898932630361[/C][C]0.245101067369639[/C][/ROW]
[ROW][C]108[/C][C]1[/C][C]0.698252830442014[/C][C]0.301747169557986[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]0.771503842105567[/C][C]0.228496157894433[/C][/ROW]
[ROW][C]110[/C][C]1[/C][C]0.751010467048136[/C][C]0.248989532951864[/C][/ROW]
[ROW][C]111[/C][C]1[/C][C]0.711881917809327[/C][C]0.288118082190673[/C][/ROW]
[ROW][C]112[/C][C]1[/C][C]0.765219289113676[/C][C]0.234780710886324[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]0.756369543836547[/C][C]0.243630456163453[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]0.693682251627365[/C][C]0.306317748372635[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]0.742329020911176[/C][C]0.257670979088824[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0.748921649256006[/C][C]0.251078350743994[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]0.71203121211768[/C][C]0.28796878788232[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]0.718769250959092[/C][C]0.281230749040908[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]0.656853435854173[/C][C]0.343146564145827[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0.661113215790437[/C][C]0.338886784209563[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0.717663386608141[/C][C]0.282336613391859[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]0.709118738993323[/C][C]0.290881261006677[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0.671942576241378[/C][C]0.328057423758622[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]0.657280971550577[/C][C]0.342719028449423[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0.64671589999721[/C][C]0.35328410000279[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0.719783938989845[/C][C]0.280216061010155[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.707044886647589[/C][C]0.292955113352411[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0.653494630471772[/C][C]0.346505369528228[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]0.602540031981033[/C][C]0.397459968018967[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]0.550110876590284[/C][C]0.449889123409716[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.674514288029137[/C][C]0.325485711970863[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]0.573195753799011[/C][C]0.426804246200989[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]0.612936212653799[/C][C]0.387063787346201[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0.613560772745493[/C][C]0.386439227254507[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]0.503143371642375[/C][C]0.496856628357625[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]0.580004936630846[/C][C]0.419995063369154[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]0.588206499742849[/C][C]0.411793500257151[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]0.614311332118772[/C][C]0.385688667881228[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0.552730677661672[/C][C]0.447269322338328[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0.610305648924642[/C][C]0.389694351075358[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]0.578526061240564[/C][C]0.421473938759436[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0.583648319992581[/C][C]0.416351680007419[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]0.497031138224847[/C][C]0.502968861775153[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0.576397074387769[/C][C]0.423602925612231[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0.553089513252881[/C][C]0.446910486747119[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0.509970749906713[/C][C]0.490029250093287[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]0.492164912562424[/C][C]0.507835087437576[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]0.474786188133141[/C][C]0.525213811866859[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]0.588264175030399[/C][C]0.411735824969601[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0.554449239048376[/C][C]0.445550760951624[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]0.537496767909765[/C][C]0.462503232090235[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0.559578935983016[/C][C]0.440421064016984[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0.50615142660497[/C][C]0.49384857339503[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0.501989435097614[/C][C]0.498010564902386[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]0.540313654382648[/C][C]0.459686345617352[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]0.561260822199018[/C][C]0.438739177800982[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0.497649957306868[/C][C]0.502350042693132[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0.510417343065025[/C][C]0.489582656934975[/C][/ROW]
[ROW][C]159[/C][C]0[/C][C]0.391242684993048[/C][C]-0.391242684993048[/C][/ROW]
[ROW][C]160[/C][C]0[/C][C]0.417155219527963[/C][C]-0.417155219527963[/C][/ROW]
[ROW][C]161[/C][C]0[/C][C]0.458399997707275[/C][C]-0.458399997707275[/C][/ROW]
[ROW][C]162[/C][C]0[/C][C]0.484919681051053[/C][C]-0.484919681051053[/C][/ROW]
[ROW][C]163[/C][C]0[/C][C]0.391981633981327[/C][C]-0.391981633981327[/C][/ROW]
[ROW][C]164[/C][C]0[/C][C]0.425486290003588[/C][C]-0.425486290003588[/C][/ROW]
[ROW][C]165[/C][C]0[/C][C]0.401634187417993[/C][C]-0.401634187417993[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]0.44540623682169[/C][C]-0.44540623682169[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]0.395961095518369[/C][C]-0.395961095518369[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]0.390751872060708[/C][C]-0.390751872060708[/C][/ROW]
[ROW][C]169[/C][C]0[/C][C]0.478499377930262[/C][C]-0.478499377930262[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]0.377598237960543[/C][C]-0.377598237960543[/C][/ROW]
[ROW][C]171[/C][C]0[/C][C]0.386874852751483[/C][C]-0.386874852751483[/C][/ROW]
[ROW][C]172[/C][C]0[/C][C]0.414658593652779[/C][C]-0.414658593652779[/C][/ROW]
[ROW][C]173[/C][C]0[/C][C]0.386183974181159[/C][C]-0.386183974181159[/C][/ROW]
[ROW][C]174[/C][C]0[/C][C]0.391350267629619[/C][C]-0.391350267629619[/C][/ROW]
[ROW][C]175[/C][C]0[/C][C]0.344028177181677[/C][C]-0.344028177181677[/C][/ROW]
[ROW][C]176[/C][C]0[/C][C]0.413149852732187[/C][C]-0.413149852732187[/C][/ROW]
[ROW][C]177[/C][C]0[/C][C]0.405777328234144[/C][C]-0.405777328234144[/C][/ROW]
[ROW][C]178[/C][C]0[/C][C]0.415796130334641[/C][C]-0.415796130334641[/C][/ROW]
[ROW][C]179[/C][C]0[/C][C]0.338314843808835[/C][C]-0.338314843808835[/C][/ROW]
[ROW][C]180[/C][C]0[/C][C]0.367098578314852[/C][C]-0.367098578314852[/C][/ROW]
[ROW][C]181[/C][C]0[/C][C]0.340739644866012[/C][C]-0.340739644866012[/C][/ROW]
[ROW][C]182[/C][C]0[/C][C]0.346857030690395[/C][C]-0.346857030690395[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]0.381489424131831[/C][C]-0.381489424131831[/C][/ROW]
[ROW][C]184[/C][C]0[/C][C]0.339574931784476[/C][C]-0.339574931784476[/C][/ROW]
[ROW][C]185[/C][C]0[/C][C]0.369369649300261[/C][C]-0.369369649300261[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]0.287167441258212[/C][C]-0.287167441258212[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.312444912764673[/C][C]-0.312444912764673[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]0.339377484674225[/C][C]-0.339377484674225[/C][/ROW]
[ROW][C]189[/C][C]0[/C][C]0.379931825548862[/C][C]-0.379931825548862[/C][/ROW]
[ROW][C]190[/C][C]0[/C][C]0.357302706704818[/C][C]-0.357302706704818[/C][/ROW]
[ROW][C]191[/C][C]0[/C][C]0.337069522221968[/C][C]-0.337069522221968[/C][/ROW]
[ROW][C]192[/C][C]0[/C][C]0.329424891806131[/C][C]-0.329424891806131[/C][/ROW]
[ROW][C]193[/C][C]0[/C][C]0.293923644140136[/C][C]-0.293923644140136[/C][/ROW]
[ROW][C]194[/C][C]0[/C][C]0.31797642245357[/C][C]-0.31797642245357[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]0.332830674035331[/C][C]-0.332830674035331[/C][/ROW]
[ROW][C]196[/C][C]0[/C][C]0.232207059013406[/C][C]-0.232207059013406[/C][/ROW]
[ROW][C]197[/C][C]0[/C][C]0.215532555696623[/C][C]-0.215532555696623[/C][/ROW]
[ROW][C]198[/C][C]0[/C][C]0.245611178809429[/C][C]-0.245611178809429[/C][/ROW]
[ROW][C]199[/C][C]0[/C][C]0.260931416348636[/C][C]-0.260931416348636[/C][/ROW]
[ROW][C]200[/C][C]0[/C][C]0.229998349022696[/C][C]-0.229998349022696[/C][/ROW]
[ROW][C]201[/C][C]0[/C][C]0.302313177147735[/C][C]-0.302313177147735[/C][/ROW]
[ROW][C]202[/C][C]0[/C][C]0.300436166393047[/C][C]-0.300436166393047[/C][/ROW]
[ROW][C]203[/C][C]0[/C][C]0.296154139889693[/C][C]-0.296154139889693[/C][/ROW]
[ROW][C]204[/C][C]0[/C][C]0.25613166783516[/C][C]-0.25613166783516[/C][/ROW]
[ROW][C]205[/C][C]0[/C][C]0.213093619411162[/C][C]-0.213093619411162[/C][/ROW]
[ROW][C]206[/C][C]0[/C][C]0.234199490209889[/C][C]-0.234199490209889[/C][/ROW]
[ROW][C]207[/C][C]0[/C][C]0.214676314171824[/C][C]-0.214676314171824[/C][/ROW]
[ROW][C]208[/C][C]0[/C][C]0.268165869581171[/C][C]-0.268165869581171[/C][/ROW]
[ROW][C]209[/C][C]0[/C][C]0.210353461364104[/C][C]-0.210353461364104[/C][/ROW]
[ROW][C]210[/C][C]0[/C][C]0.172428527690056[/C][C]-0.172428527690056[/C][/ROW]
[ROW][C]211[/C][C]0[/C][C]0.225298856614465[/C][C]-0.225298856614465[/C][/ROW]
[ROW][C]212[/C][C]0[/C][C]0.155331775754941[/C][C]-0.155331775754941[/C][/ROW]
[ROW][C]213[/C][C]0[/C][C]0.256919514246773[/C][C]-0.256919514246773[/C][/ROW]
[ROW][C]214[/C][C]0[/C][C]0.22814839460976[/C][C]-0.22814839460976[/C][/ROW]
[ROW][C]215[/C][C]0[/C][C]0.147930978673773[/C][C]-0.147930978673773[/C][/ROW]
[ROW][C]216[/C][C]0[/C][C]0.242781365150236[/C][C]-0.242781365150236[/C][/ROW]
[ROW][C]217[/C][C]0[/C][C]0.138814049194305[/C][C]-0.138814049194305[/C][/ROW]
[ROW][C]218[/C][C]0[/C][C]0.188119829949745[/C][C]-0.188119829949745[/C][/ROW]
[ROW][C]219[/C][C]0[/C][C]0.161681631200287[/C][C]-0.161681631200287[/C][/ROW]
[ROW][C]220[/C][C]0[/C][C]0.146937133065626[/C][C]-0.146937133065626[/C][/ROW]
[ROW][C]221[/C][C]0[/C][C]0.206854599152639[/C][C]-0.206854599152639[/C][/ROW]
[ROW][C]222[/C][C]0[/C][C]0.164610346495221[/C][C]-0.164610346495221[/C][/ROW]
[ROW][C]223[/C][C]0[/C][C]0.126876357310729[/C][C]-0.126876357310729[/C][/ROW]
[ROW][C]224[/C][C]0[/C][C]0.086069414659706[/C][C]-0.086069414659706[/C][/ROW]
[ROW][C]225[/C][C]0[/C][C]0.111511218333469[/C][C]-0.111511218333469[/C][/ROW]
[ROW][C]226[/C][C]0[/C][C]0.153101150492322[/C][C]-0.153101150492322[/C][/ROW]
[ROW][C]227[/C][C]0[/C][C]0.095177724144551[/C][C]-0.095177724144551[/C][/ROW]
[ROW][C]228[/C][C]0[/C][C]0.131078680136493[/C][C]-0.131078680136493[/C][/ROW]
[ROW][C]229[/C][C]0[/C][C]0.142422934122104[/C][C]-0.142422934122104[/C][/ROW]
[ROW][C]230[/C][C]0[/C][C]0.146218101371583[/C][C]-0.146218101371583[/C][/ROW]
[ROW][C]231[/C][C]0[/C][C]0.0604102026650693[/C][C]-0.0604102026650693[/C][/ROW]
[ROW][C]232[/C][C]0[/C][C]0.0526322872508102[/C][C]-0.0526322872508102[/C][/ROW]
[ROW][C]233[/C][C]0[/C][C]0.0448730221767326[/C][C]-0.0448730221767326[/C][/ROW]
[ROW][C]234[/C][C]0[/C][C]0.0810723907488639[/C][C]-0.0810723907488639[/C][/ROW]
[ROW][C]235[/C][C]0[/C][C]0.0410048014516554[/C][C]-0.0410048014516554[/C][/ROW]
[ROW][C]236[/C][C]0[/C][C]0.0465824921986118[/C][C]-0.0465824921986118[/C][/ROW]
[ROW][C]237[/C][C]0[/C][C]0.0280754965447522[/C][C]-0.0280754965447522[/C][/ROW]
[ROW][C]238[/C][C]0[/C][C]0.0260285193389509[/C][C]-0.0260285193389509[/C][/ROW]
[ROW][C]239[/C][C]0[/C][C]0.0478219747943695[/C][C]-0.0478219747943695[/C][/ROW]
[ROW][C]240[/C][C]0[/C][C]0.0349172131422491[/C][C]-0.0349172131422491[/C][/ROW]
[ROW][C]241[/C][C]0[/C][C]0.0467044686664268[/C][C]-0.0467044686664268[/C][/ROW]
[ROW][C]242[/C][C]0[/C][C]0.0704379725505342[/C][C]-0.0704379725505342[/C][/ROW]
[ROW][C]243[/C][C]0[/C][C]-0.0154503857949145[/C][C]0.0154503857949145[/C][/ROW]
[ROW][C]244[/C][C]0[/C][C]-0.0128965184385018[/C][C]0.0128965184385018[/C][/ROW]
[ROW][C]245[/C][C]0[/C][C]0.0326612961979451[/C][C]-0.0326612961979451[/C][/ROW]
[ROW][C]246[/C][C]0[/C][C]0.00498602347406615[/C][C]-0.00498602347406615[/C][/ROW]
[ROW][C]247[/C][C]0[/C][C]0.058478100689316[/C][C]-0.058478100689316[/C][/ROW]
[ROW][C]248[/C][C]0[/C][C]0.0438918403386999[/C][C]-0.0438918403386999[/C][/ROW]
[ROW][C]249[/C][C]0[/C][C]-0.011871530575864[/C][C]0.011871530575864[/C][/ROW]
[ROW][C]250[/C][C]0[/C][C]-0.0170764020890107[/C][C]0.0170764020890107[/C][/ROW]
[ROW][C]251[/C][C]0[/C][C]-0.0209063144437212[/C][C]0.0209063144437212[/C][/ROW]
[ROW][C]252[/C][C]0[/C][C]-0.00529451163869699[/C][C]0.00529451163869699[/C][/ROW]
[ROW][C]253[/C][C]0[/C][C]0.0330051977347499[/C][C]-0.0330051977347499[/C][/ROW]
[ROW][C]254[/C][C]0[/C][C]-0.0244608660363615[/C][C]0.0244608660363615[/C][/ROW]
[ROW][C]255[/C][C]0[/C][C]-0.00431795011153638[/C][C]0.00431795011153638[/C][/ROW]
[ROW][C]256[/C][C]0[/C][C]-0.0134717553207241[/C][C]0.0134717553207241[/C][/ROW]
[ROW][C]257[/C][C]0[/C][C]-0.0643004098545326[/C][C]0.0643004098545326[/C][/ROW]
[ROW][C]258[/C][C]0[/C][C]-0.0478734822433277[/C][C]0.0478734822433277[/C][/ROW]
[ROW][C]259[/C][C]0[/C][C]-0.0811462440652413[/C][C]0.0811462440652413[/C][/ROW]
[ROW][C]260[/C][C]0[/C][C]-0.0324941965976418[/C][C]0.0324941965976418[/C][/ROW]
[ROW][C]261[/C][C]0[/C][C]-0.103827051766404[/C][C]0.103827051766404[/C][/ROW]
[ROW][C]262[/C][C]0[/C][C]-0.0735903355876659[/C][C]0.0735903355876659[/C][/ROW]
[ROW][C]263[/C][C]0[/C][C]-0.0233028572199451[/C][C]0.0233028572199451[/C][/ROW]
[ROW][C]264[/C][C]0[/C][C]-0.133607229654573[/C][C]0.133607229654573[/C][/ROW]
[ROW][C]265[/C][C]0[/C][C]-0.0760287303903602[/C][C]0.0760287303903602[/C][/ROW]
[ROW][C]266[/C][C]0[/C][C]-0.0750911582365003[/C][C]0.0750911582365003[/C][/ROW]
[ROW][C]267[/C][C]0[/C][C]-0.0537334616410184[/C][C]0.0537334616410184[/C][/ROW]
[ROW][C]268[/C][C]0[/C][C]-0.0933518774385462[/C][C]0.0933518774385462[/C][/ROW]
[ROW][C]269[/C][C]0[/C][C]-0.0488093550331634[/C][C]0.0488093550331634[/C][/ROW]
[ROW][C]270[/C][C]0[/C][C]-0.120146275880471[/C][C]0.120146275880471[/C][/ROW]
[ROW][C]271[/C][C]0[/C][C]-0.111562897495312[/C][C]0.111562897495312[/C][/ROW]
[ROW][C]272[/C][C]0[/C][C]-0.0889810077597513[/C][C]0.0889810077597513[/C][/ROW]
[ROW][C]273[/C][C]0[/C][C]-0.127387180739829[/C][C]0.127387180739829[/C][/ROW]
[ROW][C]274[/C][C]0[/C][C]-0.0937596430382497[/C][C]0.0937596430382497[/C][/ROW]
[ROW][C]275[/C][C]0[/C][C]-0.104589382496175[/C][C]0.104589382496175[/C][/ROW]
[ROW][C]276[/C][C]0[/C][C]-0.216533862127541[/C][C]0.216533862127541[/C][/ROW]
[ROW][C]277[/C][C]0[/C][C]-0.121314109526537[/C][C]0.121314109526537[/C][/ROW]
[ROW][C]278[/C][C]0[/C][C]-0.146720451828242[/C][C]0.146720451828242[/C][/ROW]
[ROW][C]279[/C][C]0[/C][C]-0.100569742487934[/C][C]0.100569742487934[/C][/ROW]
[ROW][C]280[/C][C]0[/C][C]-0.160447569732258[/C][C]0.160447569732258[/C][/ROW]
[ROW][C]281[/C][C]0[/C][C]-0.157996192843684[/C][C]0.157996192843684[/C][/ROW]
[ROW][C]282[/C][C]0[/C][C]-0.110528160044965[/C][C]0.110528160044965[/C][/ROW]
[ROW][C]283[/C][C]0[/C][C]-0.198969023567527[/C][C]0.198969023567527[/C][/ROW]
[ROW][C]284[/C][C]0[/C][C]-0.213859820112042[/C][C]0.213859820112042[/C][/ROW]
[ROW][C]285[/C][C]0[/C][C]-0.120700601313696[/C][C]0.120700601313696[/C][/ROW]
[ROW][C]286[/C][C]0[/C][C]-0.160955510829118[/C][C]0.160955510829118[/C][/ROW]
[ROW][C]287[/C][C]0[/C][C]-0.137530807908873[/C][C]0.137530807908873[/C][/ROW]
[ROW][C]288[/C][C]0[/C][C]-0.158829681516083[/C][C]0.158829681516083[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155494&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155494&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
111.31194393749207-0.311943937492066
211.31256637260895-0.312566372608949
311.26703474772135-0.267034747721349
411.23051114771004-0.230511147710035
511.29535625422925-0.295356254229253
611.2723275190737-0.272327519073697
711.26089913433818-0.260899134338184
811.26264507760901-0.262645077609014
911.26327709053428-0.263277090534284
1011.28107236393561-0.281072363935607
1111.21662077198227-0.216620771982266
1211.27359156327366-0.273591563273662
1311.17498339456749-0.17498339456749
1411.2664258310416-0.266425831041605
1511.25902819351784-0.25902819351784
1611.17066849142352-0.170668491423518
1711.16820042854571-0.168200428545711
1811.25799783761907-0.257997837619075
1911.19116323818183-0.191163238181827
2011.20222328454259-0.202223284542592
2111.17561958517138-0.175619585171385
2211.1546247765951-0.154624776595098
2311.20992152202158-0.209921522021576
2411.19344634666442-0.193446346664418
2511.14907927199881-0.14907927199881
2611.13268224518181-0.132682245181808
2711.14644976099368-0.146449760993677
2811.1659494295114-0.165949429511397
2911.15570627247533-0.155706272475326
3011.0845908281733-0.0845908281732954
3111.1397111845414-0.1397111845414
3211.0785676660868-0.0785676660867985
3311.14253854255905-0.142538542559052
3411.14932872876175-0.149328728761754
3511.06092538493018-0.0609253849301794
3611.08391787568397-0.0839178756839731
3711.01815788651846-0.0181578865184576
3811.06722651466508-0.0672265146650749
3911.11101003290592-0.111010032905916
4011.05197267621259-0.0519726762125861
4111.05671538474728-0.0567153847472831
4211.09346255666447-0.0934625566644688
4311.05093701833893-0.0509370183389251
4411.02135745950317-0.0213574595031704
4511.05638855367984-0.0563885536798362
4611.04601737166221-0.0460173716622061
4711.0894939535319-0.089493953531896
4811.06488326949672-0.0648832694967212
4911.09492285492977-0.0949228549297679
5010.9907930752711470.00920692472885303
5111.06913073530747-0.0691307353074748
5210.9784925249825920.0215074750174083
5310.9592029994359760.0407970005640241
5411.03171064051518-0.0317106405151827
5510.9603638793846270.0396361206153735
5611.04081487162173-0.0408148716217344
5711.02999223088951-0.0299922308895132
5811.01174091655601-0.0117409165560071
5910.9606943134781640.0393056865218355
6010.9907082223243160.00929177767568381
6110.8865682094232570.113431790576743
6210.9435471089822810.0564528910177187
6310.9642471474575880.0357528525424117
6410.9791319310950710.0208680689049292
6510.9663673199226690.0336326800773314
6610.9153950127917690.0846049872082308
6710.9495273028000150.0504726971999855
6810.8760939383207160.123906061679284
6910.9822466076735260.0177533923264745
7010.9278054454419710.0721945545580291
7110.9104577681815680.0895422318184323
7210.9654166450303550.034583354969645
7310.9619750890779950.0380249109220049
7410.9274655582398720.0725344417601277
7510.8438499790379080.156150020962092
7610.8991028241241720.100897175875828
7710.9459430588249050.0540569411750951
7810.8902653118482170.109734688151783
7910.844654554237090.15534544576291
8010.8207411729878870.179258827012113
8110.8666365782051750.133363421794825
8210.9087064260743750.0912935739256245
8310.8501737000590610.149826299940939
8410.8832344889537570.116765511046243
8510.8630591229751760.136940877024824
8610.8609694656513490.139030534348651
8710.8621890026984950.137810997301505
8810.8389493529894220.161050647010578
8910.800307889900470.19969211009953
9010.8726988785651630.127301121434837
9110.8240486253718480.175951374628152
9210.8765182396766570.123481760323344
9310.8022093604060280.197790639593972
9410.7936899666631430.206310033336857
9510.8523836087781590.147616391221841
9610.8090398408854720.190960159114528
9710.8062744420090450.193725557990955
9810.7877770726115870.212222927388413
9910.7758147568651410.224185243134859
10010.8242872874239420.175712712576058
10110.7470569186225430.252943081377457
10210.816819081330370.18318091866963
10310.6934933553099970.306506644690003
10410.8079906317496440.192009368250356
10510.687759538711240.31224046128876
10610.7895312102662540.210468789733746
10710.7548989326303610.245101067369639
10810.6982528304420140.301747169557986
10910.7715038421055670.228496157894433
11010.7510104670481360.248989532951864
11110.7118819178093270.288118082190673
11210.7652192891136760.234780710886324
11310.7563695438365470.243630456163453
11410.6936822516273650.306317748372635
11510.7423290209111760.257670979088824
11610.7489216492560060.251078350743994
11710.712031212117680.28796878788232
11810.7187692509590920.281230749040908
11910.6568534358541730.343146564145827
12010.6611132157904370.338886784209563
12110.7176633866081410.282336613391859
12210.7091187389933230.290881261006677
12310.6719425762413780.328057423758622
12410.6572809715505770.342719028449423
12510.646715899997210.35328410000279
12610.7197839389898450.280216061010155
12710.7070448866475890.292955113352411
12810.6534946304717720.346505369528228
12910.6025400319810330.397459968018967
13010.5501108765902840.449889123409716
13110.6745142880291370.325485711970863
13210.5731957537990110.426804246200989
13310.6129362126537990.387063787346201
13410.6135607727454930.386439227254507
13510.5031433716423750.496856628357625
13610.5800049366308460.419995063369154
13710.5882064997428490.411793500257151
13810.6143113321187720.385688667881228
13910.5527306776616720.447269322338328
14010.6103056489246420.389694351075358
14110.5785260612405640.421473938759436
14210.5836483199925810.416351680007419
14310.4970311382248470.502968861775153
14410.5763970743877690.423602925612231
14510.5530895132528810.446910486747119
14610.5099707499067130.490029250093287
14710.4921649125624240.507835087437576
14810.4747861881331410.525213811866859
14910.5882641750303990.411735824969601
15010.5544492390483760.445550760951624
15110.5374967679097650.462503232090235
15210.5595789359830160.440421064016984
15310.506151426604970.49384857339503
15410.5019894350976140.498010564902386
15510.5403136543826480.459686345617352
15610.5612608221990180.438739177800982
15710.4976499573068680.502350042693132
15810.5104173430650250.489582656934975
15900.391242684993048-0.391242684993048
16000.417155219527963-0.417155219527963
16100.458399997707275-0.458399997707275
16200.484919681051053-0.484919681051053
16300.391981633981327-0.391981633981327
16400.425486290003588-0.425486290003588
16500.401634187417993-0.401634187417993
16600.44540623682169-0.44540623682169
16700.395961095518369-0.395961095518369
16800.390751872060708-0.390751872060708
16900.478499377930262-0.478499377930262
17000.377598237960543-0.377598237960543
17100.386874852751483-0.386874852751483
17200.414658593652779-0.414658593652779
17300.386183974181159-0.386183974181159
17400.391350267629619-0.391350267629619
17500.344028177181677-0.344028177181677
17600.413149852732187-0.413149852732187
17700.405777328234144-0.405777328234144
17800.415796130334641-0.415796130334641
17900.338314843808835-0.338314843808835
18000.367098578314852-0.367098578314852
18100.340739644866012-0.340739644866012
18200.346857030690395-0.346857030690395
18300.381489424131831-0.381489424131831
18400.339574931784476-0.339574931784476
18500.369369649300261-0.369369649300261
18600.287167441258212-0.287167441258212
18700.312444912764673-0.312444912764673
18800.339377484674225-0.339377484674225
18900.379931825548862-0.379931825548862
19000.357302706704818-0.357302706704818
19100.337069522221968-0.337069522221968
19200.329424891806131-0.329424891806131
19300.293923644140136-0.293923644140136
19400.31797642245357-0.31797642245357
19500.332830674035331-0.332830674035331
19600.232207059013406-0.232207059013406
19700.215532555696623-0.215532555696623
19800.245611178809429-0.245611178809429
19900.260931416348636-0.260931416348636
20000.229998349022696-0.229998349022696
20100.302313177147735-0.302313177147735
20200.300436166393047-0.300436166393047
20300.296154139889693-0.296154139889693
20400.25613166783516-0.25613166783516
20500.213093619411162-0.213093619411162
20600.234199490209889-0.234199490209889
20700.214676314171824-0.214676314171824
20800.268165869581171-0.268165869581171
20900.210353461364104-0.210353461364104
21000.172428527690056-0.172428527690056
21100.225298856614465-0.225298856614465
21200.155331775754941-0.155331775754941
21300.256919514246773-0.256919514246773
21400.22814839460976-0.22814839460976
21500.147930978673773-0.147930978673773
21600.242781365150236-0.242781365150236
21700.138814049194305-0.138814049194305
21800.188119829949745-0.188119829949745
21900.161681631200287-0.161681631200287
22000.146937133065626-0.146937133065626
22100.206854599152639-0.206854599152639
22200.164610346495221-0.164610346495221
22300.126876357310729-0.126876357310729
22400.086069414659706-0.086069414659706
22500.111511218333469-0.111511218333469
22600.153101150492322-0.153101150492322
22700.095177724144551-0.095177724144551
22800.131078680136493-0.131078680136493
22900.142422934122104-0.142422934122104
23000.146218101371583-0.146218101371583
23100.0604102026650693-0.0604102026650693
23200.0526322872508102-0.0526322872508102
23300.0448730221767326-0.0448730221767326
23400.0810723907488639-0.0810723907488639
23500.0410048014516554-0.0410048014516554
23600.0465824921986118-0.0465824921986118
23700.0280754965447522-0.0280754965447522
23800.0260285193389509-0.0260285193389509
23900.0478219747943695-0.0478219747943695
24000.0349172131422491-0.0349172131422491
24100.0467044686664268-0.0467044686664268
24200.0704379725505342-0.0704379725505342
2430-0.01545038579491450.0154503857949145
2440-0.01289651843850180.0128965184385018
24500.0326612961979451-0.0326612961979451
24600.00498602347406615-0.00498602347406615
24700.058478100689316-0.058478100689316
24800.0438918403386999-0.0438918403386999
2490-0.0118715305758640.011871530575864
2500-0.01707640208901070.0170764020890107
2510-0.02090631444372120.0209063144437212
2520-0.005294511638696990.00529451163869699
25300.0330051977347499-0.0330051977347499
2540-0.02446086603636150.0244608660363615
2550-0.004317950111536380.00431795011153638
2560-0.01347175532072410.0134717553207241
2570-0.06430040985453260.0643004098545326
2580-0.04787348224332770.0478734822433277
2590-0.08114624406524130.0811462440652413
2600-0.03249419659764180.0324941965976418
2610-0.1038270517664040.103827051766404
2620-0.07359033558766590.0735903355876659
2630-0.02330285721994510.0233028572199451
2640-0.1336072296545730.133607229654573
2650-0.07602873039036020.0760287303903602
2660-0.07509115823650030.0750911582365003
2670-0.05373346164101840.0537334616410184
2680-0.09335187743854620.0933518774385462
2690-0.04880935503316340.0488093550331634
2700-0.1201462758804710.120146275880471
2710-0.1115628974953120.111562897495312
2720-0.08898100775975130.0889810077597513
2730-0.1273871807398290.127387180739829
2740-0.09375964303824970.0937596430382497
2750-0.1045893824961750.104589382496175
2760-0.2165338621275410.216533862127541
2770-0.1213141095265370.121314109526537
2780-0.1467204518282420.146720451828242
2790-0.1005697424879340.100569742487934
2800-0.1604475697322580.160447569732258
2810-0.1579961928436840.157996192843684
2820-0.1105281600449650.110528160044965
2830-0.1989690235675270.198969023567527
2840-0.2138598201120420.213859820112042
2850-0.1207006013136960.120700601313696
2860-0.1609555108291180.160955510829118
2870-0.1375308079088730.137530807908873
2880-0.1588296815160830.158829681516083






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
119.68985878359097e-511.93797175671819e-501
123.47434482039718e-626.94868964079436e-621
138.62038546461649e-881.7240770929233e-871
143.63883981043173e-927.27767962086345e-921
153.11113626716307e-1076.22227253432615e-1071
16001
175.14821928916496e-1481.02964385783299e-1471
184.37651221824608e-1548.75302443649217e-1541
192.60259144208118e-1685.20518288416235e-1681
206.69190428909736e-1921.33838085781947e-1911
212.93003679948209e-2245.86007359896417e-2241
223.50762202443853e-2167.01524404887705e-2161
237.83099896945548e-2281.5661997938911e-2271
245.36036793757219e-2461.07207358751444e-2451
251.3067988072977e-2642.61359761459541e-2641
261.18622898992056e-3052.37245797984111e-3051
273.17153329222332e-2946.34306658444665e-2941
289.41559342036789e-3051.88311868407358e-3041
29001
30001
31001
32001
33001
34001
35001
36001
37001
38001
39001
40001
41001
42001
43001
44001
45001
46001
47001
48001
49001
50001
51001
52001
53001
54001
55001
56001
57001
58001
59001
60001
61001
62001
63001
64001
65001
66001
67001
68001
69001
70001
71001
72001
73001
74001
75001
76001
77001
78001
79001
80001
81001
82001
83001
84001
85001
86001
87001
88001
89001
90001
91001
92001
93001
94001
95001
96001
97001
98001
99001
100001
101001
102001
103001
104001
105001
106001
107001
108001
109001
110001
111001
112001
113001
114001
115001
116001
117001
118001
119001
120001
121001
122001
123001
124001
125001
126001
127001
128001
129001
130001
131001
132001
133001
134001
135001
136001
137001
138001
139001
140001
141001
142001
143001
144001
145001
146001
147001
148001
149001
150001
151001
152001
153001
154001
155001
156001
157001
158100
159100
160100
161100
162100
163100
164100
165100
166100
167100
168100
169100
170100
171100
172100
173100
174100
175100
176100
177100
178100
179100
180100
181100
182100
183100
184100
185100
186100
187100
188100
189100
190100
191100
192100
193100
194100
195100
196100
197100
198100
199100
200100
201100
202100
203100
204100
205100
206100
207100
208100
209100
210100
211100
212100
213100
214100
215100
216100
217100
218100
219100
220100
221100
222100
223100
224100
225100
226100
227100
228100
229100
230100
231100
232100
233100
234100
235100
236100
237100
238100
239100
240100
241100
242100
243100
244100
245100
246100
247100
248100
249100
250100
251100
252100
253100
254100
255100
256100
257100
258100
259100
260100
261100
262100
263100
264100
265100
266100
267100
268100
269100
270100
271100
272100
273100
274100
275100
276100
277100

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 9.68985878359097e-51 & 1.93797175671819e-50 & 1 \tabularnewline
12 & 3.47434482039718e-62 & 6.94868964079436e-62 & 1 \tabularnewline
13 & 8.62038546461649e-88 & 1.7240770929233e-87 & 1 \tabularnewline
14 & 3.63883981043173e-92 & 7.27767962086345e-92 & 1 \tabularnewline
15 & 3.11113626716307e-107 & 6.22227253432615e-107 & 1 \tabularnewline
16 & 0 & 0 & 1 \tabularnewline
17 & 5.14821928916496e-148 & 1.02964385783299e-147 & 1 \tabularnewline
18 & 4.37651221824608e-154 & 8.75302443649217e-154 & 1 \tabularnewline
19 & 2.60259144208118e-168 & 5.20518288416235e-168 & 1 \tabularnewline
20 & 6.69190428909736e-192 & 1.33838085781947e-191 & 1 \tabularnewline
21 & 2.93003679948209e-224 & 5.86007359896417e-224 & 1 \tabularnewline
22 & 3.50762202443853e-216 & 7.01524404887705e-216 & 1 \tabularnewline
23 & 7.83099896945548e-228 & 1.5661997938911e-227 & 1 \tabularnewline
24 & 5.36036793757219e-246 & 1.07207358751444e-245 & 1 \tabularnewline
25 & 1.3067988072977e-264 & 2.61359761459541e-264 & 1 \tabularnewline
26 & 1.18622898992056e-305 & 2.37245797984111e-305 & 1 \tabularnewline
27 & 3.17153329222332e-294 & 6.34306658444665e-294 & 1 \tabularnewline
28 & 9.41559342036789e-305 & 1.88311868407358e-304 & 1 \tabularnewline
29 & 0 & 0 & 1 \tabularnewline
30 & 0 & 0 & 1 \tabularnewline
31 & 0 & 0 & 1 \tabularnewline
32 & 0 & 0 & 1 \tabularnewline
33 & 0 & 0 & 1 \tabularnewline
34 & 0 & 0 & 1 \tabularnewline
35 & 0 & 0 & 1 \tabularnewline
36 & 0 & 0 & 1 \tabularnewline
37 & 0 & 0 & 1 \tabularnewline
38 & 0 & 0 & 1 \tabularnewline
39 & 0 & 0 & 1 \tabularnewline
40 & 0 & 0 & 1 \tabularnewline
41 & 0 & 0 & 1 \tabularnewline
42 & 0 & 0 & 1 \tabularnewline
43 & 0 & 0 & 1 \tabularnewline
44 & 0 & 0 & 1 \tabularnewline
45 & 0 & 0 & 1 \tabularnewline
46 & 0 & 0 & 1 \tabularnewline
47 & 0 & 0 & 1 \tabularnewline
48 & 0 & 0 & 1 \tabularnewline
49 & 0 & 0 & 1 \tabularnewline
50 & 0 & 0 & 1 \tabularnewline
51 & 0 & 0 & 1 \tabularnewline
52 & 0 & 0 & 1 \tabularnewline
53 & 0 & 0 & 1 \tabularnewline
54 & 0 & 0 & 1 \tabularnewline
55 & 0 & 0 & 1 \tabularnewline
56 & 0 & 0 & 1 \tabularnewline
57 & 0 & 0 & 1 \tabularnewline
58 & 0 & 0 & 1 \tabularnewline
59 & 0 & 0 & 1 \tabularnewline
60 & 0 & 0 & 1 \tabularnewline
61 & 0 & 0 & 1 \tabularnewline
62 & 0 & 0 & 1 \tabularnewline
63 & 0 & 0 & 1 \tabularnewline
64 & 0 & 0 & 1 \tabularnewline
65 & 0 & 0 & 1 \tabularnewline
66 & 0 & 0 & 1 \tabularnewline
67 & 0 & 0 & 1 \tabularnewline
68 & 0 & 0 & 1 \tabularnewline
69 & 0 & 0 & 1 \tabularnewline
70 & 0 & 0 & 1 \tabularnewline
71 & 0 & 0 & 1 \tabularnewline
72 & 0 & 0 & 1 \tabularnewline
73 & 0 & 0 & 1 \tabularnewline
74 & 0 & 0 & 1 \tabularnewline
75 & 0 & 0 & 1 \tabularnewline
76 & 0 & 0 & 1 \tabularnewline
77 & 0 & 0 & 1 \tabularnewline
78 & 0 & 0 & 1 \tabularnewline
79 & 0 & 0 & 1 \tabularnewline
80 & 0 & 0 & 1 \tabularnewline
81 & 0 & 0 & 1 \tabularnewline
82 & 0 & 0 & 1 \tabularnewline
83 & 0 & 0 & 1 \tabularnewline
84 & 0 & 0 & 1 \tabularnewline
85 & 0 & 0 & 1 \tabularnewline
86 & 0 & 0 & 1 \tabularnewline
87 & 0 & 0 & 1 \tabularnewline
88 & 0 & 0 & 1 \tabularnewline
89 & 0 & 0 & 1 \tabularnewline
90 & 0 & 0 & 1 \tabularnewline
91 & 0 & 0 & 1 \tabularnewline
92 & 0 & 0 & 1 \tabularnewline
93 & 0 & 0 & 1 \tabularnewline
94 & 0 & 0 & 1 \tabularnewline
95 & 0 & 0 & 1 \tabularnewline
96 & 0 & 0 & 1 \tabularnewline
97 & 0 & 0 & 1 \tabularnewline
98 & 0 & 0 & 1 \tabularnewline
99 & 0 & 0 & 1 \tabularnewline
100 & 0 & 0 & 1 \tabularnewline
101 & 0 & 0 & 1 \tabularnewline
102 & 0 & 0 & 1 \tabularnewline
103 & 0 & 0 & 1 \tabularnewline
104 & 0 & 0 & 1 \tabularnewline
105 & 0 & 0 & 1 \tabularnewline
106 & 0 & 0 & 1 \tabularnewline
107 & 0 & 0 & 1 \tabularnewline
108 & 0 & 0 & 1 \tabularnewline
109 & 0 & 0 & 1 \tabularnewline
110 & 0 & 0 & 1 \tabularnewline
111 & 0 & 0 & 1 \tabularnewline
112 & 0 & 0 & 1 \tabularnewline
113 & 0 & 0 & 1 \tabularnewline
114 & 0 & 0 & 1 \tabularnewline
115 & 0 & 0 & 1 \tabularnewline
116 & 0 & 0 & 1 \tabularnewline
117 & 0 & 0 & 1 \tabularnewline
118 & 0 & 0 & 1 \tabularnewline
119 & 0 & 0 & 1 \tabularnewline
120 & 0 & 0 & 1 \tabularnewline
121 & 0 & 0 & 1 \tabularnewline
122 & 0 & 0 & 1 \tabularnewline
123 & 0 & 0 & 1 \tabularnewline
124 & 0 & 0 & 1 \tabularnewline
125 & 0 & 0 & 1 \tabularnewline
126 & 0 & 0 & 1 \tabularnewline
127 & 0 & 0 & 1 \tabularnewline
128 & 0 & 0 & 1 \tabularnewline
129 & 0 & 0 & 1 \tabularnewline
130 & 0 & 0 & 1 \tabularnewline
131 & 0 & 0 & 1 \tabularnewline
132 & 0 & 0 & 1 \tabularnewline
133 & 0 & 0 & 1 \tabularnewline
134 & 0 & 0 & 1 \tabularnewline
135 & 0 & 0 & 1 \tabularnewline
136 & 0 & 0 & 1 \tabularnewline
137 & 0 & 0 & 1 \tabularnewline
138 & 0 & 0 & 1 \tabularnewline
139 & 0 & 0 & 1 \tabularnewline
140 & 0 & 0 & 1 \tabularnewline
141 & 0 & 0 & 1 \tabularnewline
142 & 0 & 0 & 1 \tabularnewline
143 & 0 & 0 & 1 \tabularnewline
144 & 0 & 0 & 1 \tabularnewline
145 & 0 & 0 & 1 \tabularnewline
146 & 0 & 0 & 1 \tabularnewline
147 & 0 & 0 & 1 \tabularnewline
148 & 0 & 0 & 1 \tabularnewline
149 & 0 & 0 & 1 \tabularnewline
150 & 0 & 0 & 1 \tabularnewline
151 & 0 & 0 & 1 \tabularnewline
152 & 0 & 0 & 1 \tabularnewline
153 & 0 & 0 & 1 \tabularnewline
154 & 0 & 0 & 1 \tabularnewline
155 & 0 & 0 & 1 \tabularnewline
156 & 0 & 0 & 1 \tabularnewline
157 & 0 & 0 & 1 \tabularnewline
158 & 1 & 0 & 0 \tabularnewline
159 & 1 & 0 & 0 \tabularnewline
160 & 1 & 0 & 0 \tabularnewline
161 & 1 & 0 & 0 \tabularnewline
162 & 1 & 0 & 0 \tabularnewline
163 & 1 & 0 & 0 \tabularnewline
164 & 1 & 0 & 0 \tabularnewline
165 & 1 & 0 & 0 \tabularnewline
166 & 1 & 0 & 0 \tabularnewline
167 & 1 & 0 & 0 \tabularnewline
168 & 1 & 0 & 0 \tabularnewline
169 & 1 & 0 & 0 \tabularnewline
170 & 1 & 0 & 0 \tabularnewline
171 & 1 & 0 & 0 \tabularnewline
172 & 1 & 0 & 0 \tabularnewline
173 & 1 & 0 & 0 \tabularnewline
174 & 1 & 0 & 0 \tabularnewline
175 & 1 & 0 & 0 \tabularnewline
176 & 1 & 0 & 0 \tabularnewline
177 & 1 & 0 & 0 \tabularnewline
178 & 1 & 0 & 0 \tabularnewline
179 & 1 & 0 & 0 \tabularnewline
180 & 1 & 0 & 0 \tabularnewline
181 & 1 & 0 & 0 \tabularnewline
182 & 1 & 0 & 0 \tabularnewline
183 & 1 & 0 & 0 \tabularnewline
184 & 1 & 0 & 0 \tabularnewline
185 & 1 & 0 & 0 \tabularnewline
186 & 1 & 0 & 0 \tabularnewline
187 & 1 & 0 & 0 \tabularnewline
188 & 1 & 0 & 0 \tabularnewline
189 & 1 & 0 & 0 \tabularnewline
190 & 1 & 0 & 0 \tabularnewline
191 & 1 & 0 & 0 \tabularnewline
192 & 1 & 0 & 0 \tabularnewline
193 & 1 & 0 & 0 \tabularnewline
194 & 1 & 0 & 0 \tabularnewline
195 & 1 & 0 & 0 \tabularnewline
196 & 1 & 0 & 0 \tabularnewline
197 & 1 & 0 & 0 \tabularnewline
198 & 1 & 0 & 0 \tabularnewline
199 & 1 & 0 & 0 \tabularnewline
200 & 1 & 0 & 0 \tabularnewline
201 & 1 & 0 & 0 \tabularnewline
202 & 1 & 0 & 0 \tabularnewline
203 & 1 & 0 & 0 \tabularnewline
204 & 1 & 0 & 0 \tabularnewline
205 & 1 & 0 & 0 \tabularnewline
206 & 1 & 0 & 0 \tabularnewline
207 & 1 & 0 & 0 \tabularnewline
208 & 1 & 0 & 0 \tabularnewline
209 & 1 & 0 & 0 \tabularnewline
210 & 1 & 0 & 0 \tabularnewline
211 & 1 & 0 & 0 \tabularnewline
212 & 1 & 0 & 0 \tabularnewline
213 & 1 & 0 & 0 \tabularnewline
214 & 1 & 0 & 0 \tabularnewline
215 & 1 & 0 & 0 \tabularnewline
216 & 1 & 0 & 0 \tabularnewline
217 & 1 & 0 & 0 \tabularnewline
218 & 1 & 0 & 0 \tabularnewline
219 & 1 & 0 & 0 \tabularnewline
220 & 1 & 0 & 0 \tabularnewline
221 & 1 & 0 & 0 \tabularnewline
222 & 1 & 0 & 0 \tabularnewline
223 & 1 & 0 & 0 \tabularnewline
224 & 1 & 0 & 0 \tabularnewline
225 & 1 & 0 & 0 \tabularnewline
226 & 1 & 0 & 0 \tabularnewline
227 & 1 & 0 & 0 \tabularnewline
228 & 1 & 0 & 0 \tabularnewline
229 & 1 & 0 & 0 \tabularnewline
230 & 1 & 0 & 0 \tabularnewline
231 & 1 & 0 & 0 \tabularnewline
232 & 1 & 0 & 0 \tabularnewline
233 & 1 & 0 & 0 \tabularnewline
234 & 1 & 0 & 0 \tabularnewline
235 & 1 & 0 & 0 \tabularnewline
236 & 1 & 0 & 0 \tabularnewline
237 & 1 & 0 & 0 \tabularnewline
238 & 1 & 0 & 0 \tabularnewline
239 & 1 & 0 & 0 \tabularnewline
240 & 1 & 0 & 0 \tabularnewline
241 & 1 & 0 & 0 \tabularnewline
242 & 1 & 0 & 0 \tabularnewline
243 & 1 & 0 & 0 \tabularnewline
244 & 1 & 0 & 0 \tabularnewline
245 & 1 & 0 & 0 \tabularnewline
246 & 1 & 0 & 0 \tabularnewline
247 & 1 & 0 & 0 \tabularnewline
248 & 1 & 0 & 0 \tabularnewline
249 & 1 & 0 & 0 \tabularnewline
250 & 1 & 0 & 0 \tabularnewline
251 & 1 & 0 & 0 \tabularnewline
252 & 1 & 0 & 0 \tabularnewline
253 & 1 & 0 & 0 \tabularnewline
254 & 1 & 0 & 0 \tabularnewline
255 & 1 & 0 & 0 \tabularnewline
256 & 1 & 0 & 0 \tabularnewline
257 & 1 & 0 & 0 \tabularnewline
258 & 1 & 0 & 0 \tabularnewline
259 & 1 & 0 & 0 \tabularnewline
260 & 1 & 0 & 0 \tabularnewline
261 & 1 & 0 & 0 \tabularnewline
262 & 1 & 0 & 0 \tabularnewline
263 & 1 & 0 & 0 \tabularnewline
264 & 1 & 0 & 0 \tabularnewline
265 & 1 & 0 & 0 \tabularnewline
266 & 1 & 0 & 0 \tabularnewline
267 & 1 & 0 & 0 \tabularnewline
268 & 1 & 0 & 0 \tabularnewline
269 & 1 & 0 & 0 \tabularnewline
270 & 1 & 0 & 0 \tabularnewline
271 & 1 & 0 & 0 \tabularnewline
272 & 1 & 0 & 0 \tabularnewline
273 & 1 & 0 & 0 \tabularnewline
274 & 1 & 0 & 0 \tabularnewline
275 & 1 & 0 & 0 \tabularnewline
276 & 1 & 0 & 0 \tabularnewline
277 & 1 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155494&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]11[/C][C]9.68985878359097e-51[/C][C]1.93797175671819e-50[/C][C]1[/C][/ROW]
[ROW][C]12[/C][C]3.47434482039718e-62[/C][C]6.94868964079436e-62[/C][C]1[/C][/ROW]
[ROW][C]13[/C][C]8.62038546461649e-88[/C][C]1.7240770929233e-87[/C][C]1[/C][/ROW]
[ROW][C]14[/C][C]3.63883981043173e-92[/C][C]7.27767962086345e-92[/C][C]1[/C][/ROW]
[ROW][C]15[/C][C]3.11113626716307e-107[/C][C]6.22227253432615e-107[/C][C]1[/C][/ROW]
[ROW][C]16[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]17[/C][C]5.14821928916496e-148[/C][C]1.02964385783299e-147[/C][C]1[/C][/ROW]
[ROW][C]18[/C][C]4.37651221824608e-154[/C][C]8.75302443649217e-154[/C][C]1[/C][/ROW]
[ROW][C]19[/C][C]2.60259144208118e-168[/C][C]5.20518288416235e-168[/C][C]1[/C][/ROW]
[ROW][C]20[/C][C]6.69190428909736e-192[/C][C]1.33838085781947e-191[/C][C]1[/C][/ROW]
[ROW][C]21[/C][C]2.93003679948209e-224[/C][C]5.86007359896417e-224[/C][C]1[/C][/ROW]
[ROW][C]22[/C][C]3.50762202443853e-216[/C][C]7.01524404887705e-216[/C][C]1[/C][/ROW]
[ROW][C]23[/C][C]7.83099896945548e-228[/C][C]1.5661997938911e-227[/C][C]1[/C][/ROW]
[ROW][C]24[/C][C]5.36036793757219e-246[/C][C]1.07207358751444e-245[/C][C]1[/C][/ROW]
[ROW][C]25[/C][C]1.3067988072977e-264[/C][C]2.61359761459541e-264[/C][C]1[/C][/ROW]
[ROW][C]26[/C][C]1.18622898992056e-305[/C][C]2.37245797984111e-305[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]3.17153329222332e-294[/C][C]6.34306658444665e-294[/C][C]1[/C][/ROW]
[ROW][C]28[/C][C]9.41559342036789e-305[/C][C]1.88311868407358e-304[/C][C]1[/C][/ROW]
[ROW][C]29[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]30[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]32[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]33[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]34[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]35[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]36[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]37[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]38[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]39[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]41[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]42[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]44[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]45[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]46[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]47[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]48[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]49[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]51[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]55[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]56[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]58[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]60[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]61[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]63[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]64[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]65[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]67[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]68[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]69[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]70[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]71[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]72[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]73[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]74[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]75[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]76[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]77[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]78[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]79[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]80[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]81[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]82[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]84[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]85[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]86[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]87[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]88[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]89[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]90[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]91[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]93[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]94[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]95[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]96[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]97[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]98[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]99[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]100[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]101[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]102[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]103[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]104[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]105[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]106[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]109[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]110[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]111[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]113[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]114[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]115[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]116[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]117[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]118[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]119[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]120[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]121[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]122[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]123[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]124[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]125[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]126[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]127[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]128[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]129[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]131[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]132[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]133[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]134[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]135[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]136[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]138[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]139[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]140[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]141[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]142[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]143[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]144[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]145[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]146[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]147[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]148[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]149[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]150[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]151[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]152[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]153[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]154[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]155[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]156[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]157[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]161[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]166[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]167[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]168[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]169[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]170[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]171[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]172[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]173[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]174[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]175[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]176[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]177[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]184[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]185[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]186[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]187[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]190[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]191[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]192[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]193[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]194[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]195[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]196[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]197[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]198[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]199[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]200[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]201[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]204[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]205[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]206[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]208[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]209[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]210[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]211[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]212[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]214[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]215[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]217[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]218[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]220[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]222[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]223[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]224[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]225[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]226[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]227[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]228[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]232[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]233[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]234[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]236[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]237[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]238[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]239[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]240[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]241[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]242[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]243[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]244[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]245[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]246[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]248[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]249[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]250[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]251[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]252[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]254[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]255[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]256[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]257[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]258[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]259[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]260[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]261[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]262[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]263[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]264[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]265[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]266[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]267[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]268[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]269[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]270[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]271[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]272[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]273[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]274[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]275[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]276[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]277[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155494&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155494&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
119.68985878359097e-511.93797175671819e-501
123.47434482039718e-626.94868964079436e-621
138.62038546461649e-881.7240770929233e-871
143.63883981043173e-927.27767962086345e-921
153.11113626716307e-1076.22227253432615e-1071
16001
175.14821928916496e-1481.02964385783299e-1471
184.37651221824608e-1548.75302443649217e-1541
192.60259144208118e-1685.20518288416235e-1681
206.69190428909736e-1921.33838085781947e-1911
212.93003679948209e-2245.86007359896417e-2241
223.50762202443853e-2167.01524404887705e-2161
237.83099896945548e-2281.5661997938911e-2271
245.36036793757219e-2461.07207358751444e-2451
251.3067988072977e-2642.61359761459541e-2641
261.18622898992056e-3052.37245797984111e-3051
273.17153329222332e-2946.34306658444665e-2941
289.41559342036789e-3051.88311868407358e-3041
29001
30001
31001
32001
33001
34001
35001
36001
37001
38001
39001
40001
41001
42001
43001
44001
45001
46001
47001
48001
49001
50001
51001
52001
53001
54001
55001
56001
57001
58001
59001
60001
61001
62001
63001
64001
65001
66001
67001
68001
69001
70001
71001
72001
73001
74001
75001
76001
77001
78001
79001
80001
81001
82001
83001
84001
85001
86001
87001
88001
89001
90001
91001
92001
93001
94001
95001
96001
97001
98001
99001
100001
101001
102001
103001
104001
105001
106001
107001
108001
109001
110001
111001
112001
113001
114001
115001
116001
117001
118001
119001
120001
121001
122001
123001
124001
125001
126001
127001
128001
129001
130001
131001
132001
133001
134001
135001
136001
137001
138001
139001
140001
141001
142001
143001
144001
145001
146001
147001
148001
149001
150001
151001
152001
153001
154001
155001
156001
157001
158100
159100
160100
161100
162100
163100
164100
165100
166100
167100
168100
169100
170100
171100
172100
173100
174100
175100
176100
177100
178100
179100
180100
181100
182100
183100
184100
185100
186100
187100
188100
189100
190100
191100
192100
193100
194100
195100
196100
197100
198100
199100
200100
201100
202100
203100
204100
205100
206100
207100
208100
209100
210100
211100
212100
213100
214100
215100
216100
217100
218100
219100
220100
221100
222100
223100
224100
225100
226100
227100
228100
229100
230100
231100
232100
233100
234100
235100
236100
237100
238100
239100
240100
241100
242100
243100
244100
245100
246100
247100
248100
249100
250100
251100
252100
253100
254100
255100
256100
257100
258100
259100
260100
261100
262100
263100
264100
265100
266100
267100
268100
269100
270100
271100
272100
273100
274100
275100
276100
277100






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2671NOK
5% type I error level2671NOK
10% type I error level2671NOK

\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 & 267 & 1 & NOK \tabularnewline
5% type I error level & 267 & 1 & NOK \tabularnewline
10% type I error level & 267 & 1 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155494&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]267[/C][C]1[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]267[/C][C]1[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]267[/C][C]1[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155494&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155494&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 level2671NOK
5% type I error level2671NOK
10% type I error level2671NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], 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,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
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, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
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,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
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,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
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,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
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,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
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')
}