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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, 11 Dec 2014 09:45:55 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/11/t1418291830t9hz1y41ljk7lp5.htm/, Retrieved Thu, 16 May 2024 16:05:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265660, Retrieved Thu, 16 May 2024 16:05:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Multiple regressi...] [2014-12-11 09:45:55] [d71ad52285d92a63edfc83f9fb1da7a1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.5 0 21 50 18 68
1.8 0 23 68 7 55
2.1 0 22 62 31 39
2.1 0 21 54 39 32
1.9 0 21 71 46 62
1.6 0 21 54 31 33
2.1 0 21 65 67 52
2.1 0 21 73 35 62
2.2 0 23 52 52 77
1.5 0 22 84 77 76
1.9 0 25 42 37 41
2.2 0 21 66 32 48
1.6 0 23 65 36 63
1.5 0 22 78 38 30
1.9 0 21 73 69 78
0.1 0 21 75 21 19
2.2 1 25 72 26 31
1.8 0 21 66 54 66
1.6 0 21 70 36 35
2.2 1 20 61 42 42
2.1 0 24 81 23 45
1.9 0 23 71 34 21
1.6 0 21 69 112 25
1.9 0 24 71 35 44
2.2 0 23 72 47 69
1.8 0 21 68 47 54
2.4 0 22 70 37 74
2.4 1 20 68 109 80
2.5 1 18 61 24 42
1.9 0 21 67 20 61
2.1 0 22 76 22 41
1.9 0 22 70 23 46
2.1 0 21 60 32 39
1.9 0 23 77 7 63
1.5 0 21 72 30 34
1.9 0 25 69 92 51
2.1 0 22 71 43 42
1.5 0 22 62 55 31
2.1 0 20 70 16 39
2.1 1 21 64 49 20
1.8 0 21 58 71 49
2.4 0 21 76 43 53
2.1 0 22 52 29 31
1.9 0 21 59 56 39
2.1 0 24 68 46 54
1.9 0 22 76 19 49
2.4 1 22 65 23 34
2.1 0 21 67 59 46
2.2 0 22 59 30 55
2.2 1 19 69 61 42
1.8 0 22 76 7 50
2.1 1 23 63 38 13
2.4 1 20 75 32 37
2.2 1 20 63 16 25
2.1 0 23 60 19 30
1.5 1 20 73 22 28
1.9 0 23 63 48 45
1.8 0 21 70 23 35
1.8 1 22 75 26 28
1.6 0 21 66 33 41
1.2 1 21 63 9 6
1.8 1 19 63 24 45
1.5 0 22 64 34 73
2.1 0 21 70 48 17
2.4 0 21 75 18 40
2.4 0 21 61 43 64
1.5 0 21 60 33 37
1.8 1 21 62 28 25
2.1 0 21 73 71 65
2.2 0 22 61 26 100
2.1 0 22 66 67 28
1.9 1 18 64 34 35
2.1 0 21 59 80 56
1.9 0 23 64 29 29
1.6 1 19 60 16 43
2.4 1 19 56 59 59
1.9 0 23 66 58 52
1.9 0 21 78 32 50
1.9 0 21 53 47 3
2.1 0 21 67 43 59
1.8 1 21 59 38 27
2.1 0 20 66 29 61
2.4 1 19 68 36 28
2.1 0 21 71 32 51
2.2 1 19 66 35 35
2.1 1 19 73 21 29
2.2 1 19 72 29 48
1.6 1 20 71 12 25
2.4 1 19 59 37 44
2.1 1 19 64 37 64
1.9 1 19 66 47 32
2.4 1 20 78 51 20
2.1 1 19 68 32 28
1.8 1 18 73 21 34
2.1 1 19 62 13 31
1.8 1 21 65 14 26
1.9 1 18 68 -2 58
1.9 1 18 65 20 23
2.4 1 19 60 24 21
1.8 1 21 71 11 21
1.8 1 20 65 23 33
2.1 1 24 68 24 16
2.1 1 22 64 14 20
2.4 1 21 74 52 37
1.9 1 21 69 15 35
1.8 1 19 76 23 33
1.8 1 19 68 19 27
2.2 1 20 72 35 41
2.4 1 18 67 24 40
1.8 1 19 63 39 35
2.4 1 19 59 29 28
1.8 1 20 73 13 32
1.9 1 21 66 8 22
2.4 1 18 62 18 44
2.1 1 19 69 24 27
1.9 1 19 66 19 17
2.1 0 22 51 23 12
2.7 0 22 56 16 45
2.1 0 22 67 33 37
2.1 0 20 69 32 37
2.1 1 19 57 37 108
2.1 1 20 56 14 10
2.1 0 22 55 52 68
2.1 0 21 63 75 72
2.1 0 21 67 72 143
2.1 0 21 65 15 9
2.4 0 21 47 29 55
1.95 0 21 76 13 17
2.1 0 21 64 40 37
2.1 0 21 68 19 27
1.95 0 22 64 24 37
2.1 0 24 65 121 58
2.4 1 21 71 93 66
2.1 0 22 63 36 21
2.25 0 20 60 23 19
2.4 0 21 68 85 78
2.25 0 24 72 41 35
2.55 0 25 70 46 48
1.95 0 22 61 18 27
2.4 0 21 61 35 43
2.1 0 21 62 17 30
2.1 0 22 71 4 25
2.4 0 23 71 28 69
2.1 0 24 51 44 72
2.1 1 20 56 10 23
2.25 0 22 70 38 13
2.25 0 25 73 57 61
2.4 0 22 76 23 43
2.1 0 22 59 26 22
2.1 0 21 68 36 51
2.4 0 21 48 22 67
2.1 0 21 52 40 36
1.95 0 22 59 18 21
2.1 0 22 60 31 44
2.25 0 22 59 11 45
2.25 0 21 57 38 34
2.4 0 22 79 24 36
2.25 0 23 60 37 72
2.25 0 21 60 37 39
2.1 0 21 59 22 43
2.1 1 21 62 15 25
2.1 1 19 59 2 56
2.7 0 21 61 43 80
2.1 0 21 71 31 40
2.1 1 19 57 29 73
2.25 1 18 66 45 34
2.7 1 19 63 25 72
2.4 1 21 69 4 42
2.1 0 22 58 31 61
2.1 0 22 59 -4 23
2.4 1 19 48 66 74
1.95 1 20 66 61 16
2.7 1 19 73 32 66
2.1 1 21 67 31 9
2.25 1 19 61 39 41
2.1 1 20 68 19 57
2.7 1 21 75 31 48
2.1 1 19 62 36 51
2.1 1 21 69 42 53
1.65 0 21 58 21 29
1.65 0 21 60 21 29
2.1 1 19 74 25 55
2.1 0 25 55 32 54
2.1 0 21 62 26 43
2.1 1 20 63 28 51
2.1 0 25 69 32 20
2.4 1 19 58 41 79
2.4 1 20 58 29 39
2.1 0 22 68 33 61
2.25 1 19 72 17 55
2.4 1 20 62 13 30
2.1 1 19 62 32 55
2.1 1 19 65 30 22
2.4 1 18 69 34 37
2.4 1 19 66 59 2
2.1 1 21 72 13 38
2.1 1 19 62 23 27
2.4 1 20 75 10 56
2.1 1 20 58 5 25
2.7 1 19 66 31 39
2.1 1 19 55 19 33
2.1 1 22 47 32 43
2.25 0 21 72 30 57
2.1 1 19 62 25 43
2.4 1 19 64 48 23
2.25 1 19 64 35 44
2.25 0 23 19 67 54
2.1 1 19 50 15 28
2.1 0 20 68 22 36
2.4 1 19 70 18 39
2.25 0 22 79 33 16
2.1 1 19 69 46 23
2.1 0 25 71 24 40
1.65 1 19 48 14 24
1.65 1 20 66 23 29
2.7 1 19 73 12 78
2.1 1 19 74 38 57
1.95 1 20 66 12 37
2.25 0 20 71 28 27
2.4 0 21 74 41 61
1.95 1 19 78 12 27
2.1 0 21 75 31 69
2.4 0 23 53 33 34
2.1 1 19 60 34 44
2.1 0 21 50 41 21
2.4 0 22 70 21 34
2.4 1 20 69 20 39
2.4 1 18 65 44 51
2.25 0 21 78 52 34
2.4 1 20 78 7 31
2.1 0 21 59 29 13
2.1 0 21 72 11 12
1.8 0 21 70 26 51
2.7 1 19 63 24 24
2.1 0 21 63 7 19
2.1 1 19 71 60 30
2.4 0 21 74 13 81
2.55 0 21 67 20 42
2.55 0 22 66 52 22
2.1 0 21 62 28 85
2.1 1 22 80 25 27
2.1 0 22 73 39 25
2.25 0 22 67 9 22
2.25 0 22 61 19 19
2.1 1 21 73 13 14
2.1 0 22 74 60 45
1.95 0 23 32 19 45
2.4 1 19 69 34 28
2.1 0 22 69 14 51
2.4 1 21 84 17 41
2.4 1 19 64 45 31
2.4 1 19 58 66 74
2.25 0 20 60 24 24
1.95 1 20 59 48 19
2.1 1 18 78 29 51
2.1 0 21 57 -2 73
2.55 0 21 60 51 24
2.1 0 20 68 2 61
2.1 0 20 68 24 23
2.1 0 21 73 40 14
1.95 0 21 69 20 54
2.25 1 19 67 19 51
2.4 1 19 60 16 62
1.95 0 21 65 20 36
2.1 1 19 66 40 59
2.1 1 19 74 27 24
1.95 0 24 81 25 26
2.1 1 19 72 49 54
2.1 1 19 55 39 39
1.95 1 20 49 61 16
2.1 1 19 74 19 36
1.95 1 19 53 67 31
2.4 1 19 64 45 31
2.4 1 19 65 30 42
2.4 1 19 57 8 39
1.95 1 19 51 19 25
2.7 1 20 80 52 31
2.1 1 20 67 22 38
1.95 1 19 70 17 31
2.1 1 21 74 33 17
1.95 1 19 75 34 22
2.1 1 19 70 22 55
2.25 1 19 69 30 62
2.7 1 21 65 25 51
2.1 0 22 55 38 30
2.4 1 19 71 26 49
1.35 1 19 65 13 16

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'George Udny Yule' @ yule.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 & 8 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265660&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265660&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265660&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 time8 seconds
R Server'George Udny Yule' @ yule.wessa.net






Multiple Linear Regression - Estimated Regression Equation
PA[t] = + 1.97343 + 0.108757studieprogramma[t] -0.00154138age[t] -0.00056966AMS.E[t] + 0.00061477PRH[t] + 0.00310676CH[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
PA[t] =  +  1.97343 +  0.108757studieprogramma[t] -0.00154138age[t] -0.00056966AMS.E[t] +  0.00061477PRH[t] +  0.00310676CH[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265660&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]PA[t] =  +  1.97343 +  0.108757studieprogramma[t] -0.00154138age[t] -0.00056966AMS.E[t] +  0.00061477PRH[t] +  0.00310676CH[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265660&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265660&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
PA[t] = + 1.97343 + 0.108757studieprogramma[t] -0.00154138age[t] -0.00056966AMS.E[t] + 0.00061477PRH[t] + 0.00310676CH[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)1.973430.3380695.8371.46036e-087.30178e-09
studieprogramma0.1087570.04542922.3940.01732250.00866127
age-0.001541380.0142469-0.10820.9139220.456961
AMS.E-0.000569660.00202505-0.28130.7786820.389341
PRH0.000614770.0009167450.67060.5030260.251513
CH0.003106760.0009068163.4260.0007040030.000352002

\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) & 1.97343 & 0.338069 & 5.837 & 1.46036e-08 & 7.30178e-09 \tabularnewline
studieprogramma & 0.108757 & 0.0454292 & 2.394 & 0.0173225 & 0.00866127 \tabularnewline
age & -0.00154138 & 0.0142469 & -0.1082 & 0.913922 & 0.456961 \tabularnewline
AMS.E & -0.00056966 & 0.00202505 & -0.2813 & 0.778682 & 0.389341 \tabularnewline
PRH & 0.00061477 & 0.000916745 & 0.6706 & 0.503026 & 0.251513 \tabularnewline
CH & 0.00310676 & 0.000906816 & 3.426 & 0.000704003 & 0.000352002 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265660&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]1.97343[/C][C]0.338069[/C][C]5.837[/C][C]1.46036e-08[/C][C]7.30178e-09[/C][/ROW]
[ROW][C]studieprogramma[/C][C]0.108757[/C][C]0.0454292[/C][C]2.394[/C][C]0.0173225[/C][C]0.00866127[/C][/ROW]
[ROW][C]age[/C][C]-0.00154138[/C][C]0.0142469[/C][C]-0.1082[/C][C]0.913922[/C][C]0.456961[/C][/ROW]
[ROW][C]AMS.E[/C][C]-0.00056966[/C][C]0.00202505[/C][C]-0.2813[/C][C]0.778682[/C][C]0.389341[/C][/ROW]
[ROW][C]PRH[/C][C]0.00061477[/C][C]0.000916745[/C][C]0.6706[/C][C]0.503026[/C][C]0.251513[/C][/ROW]
[ROW][C]CH[/C][C]0.00310676[/C][C]0.000906816[/C][C]3.426[/C][C]0.000704003[/C][C]0.000352002[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265660&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265660&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)1.973430.3380695.8371.46036e-087.30178e-09
studieprogramma0.1087570.04542922.3940.01732250.00866127
age-0.001541380.0142469-0.10820.9139220.456961
AMS.E-0.000569660.00202505-0.28130.7786820.389341
PRH0.000614770.0009167450.67060.5030260.251513
CH0.003106760.0009068163.4260.0007040030.000352002






Multiple Linear Regression - Regression Statistics
Multiple R0.266874
R-squared0.0712218
Adjusted R-squared0.0546955
F-TEST (value)4.3096
F-TEST (DF numerator)5
F-TEST (DF denominator)281
p-value0.000856543
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.278734
Sum Squared Residuals21.8317

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.266874 \tabularnewline
R-squared & 0.0712218 \tabularnewline
Adjusted R-squared & 0.0546955 \tabularnewline
F-TEST (value) & 4.3096 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 281 \tabularnewline
p-value & 0.000856543 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.278734 \tabularnewline
Sum Squared Residuals & 21.8317 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265660&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.266874[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0712218[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0546955[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]4.3096[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]281[/C][/ROW]
[ROW][C]p-value[/C][C]0.000856543[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.278734[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]21.8317[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265660&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265660&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 R0.266874
R-squared0.0712218
Adjusted R-squared0.0546955
F-TEST (value)4.3096
F-TEST (DF numerator)5
F-TEST (DF denominator)281
p-value0.000856543
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.278734
Sum Squared Residuals21.8317






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11.52.1349-0.634905
21.82.07442-0.274418
32.12.044420.0555766
42.12.033690.0663071
51.92.12151-0.221515
61.62.03188-0.431881
72.12.10678-0.00677535
82.12.11361-0.013613
92.22.179550.0204544
101.52.17512-0.67512
111.92.06109-0.161095
122.22.072260.127738
131.62.11881-0.518809
141.52.01165-0.511651
151.92.18422-0.284223
160.11.97028-1.87028
172.22.114930.0850687
181.82.14171-0.341708
191.62.03205-0.432054
202.22.172920.0270849
212.12.044240.0557605
221.91.98368-0.0836777
231.62.04828-0.448279
241.92.05421-0.154207
252.22.140220.0597755
261.82.09898-0.298984
272.42.152290.247709
282.42.328170.0718262
292.52.164930.335068
301.92.1047-0.204703
312.12.037130.0628713
321.92.0567-0.156695
332.12.047720.0522812
341.92.09414-0.194145
351.52.02412-0.52412
361.92.11059-0.210594
372.12.055990.044006
381.52.03432-0.534324
392.12.033730.0662727
402.12.10562-0.00561939
411.82.1039-0.303902
422.42.088860.311139
432.12.024040.0759636
441.92.06304-0.163043
452.12.093750.0062544
461.92.06014-0.160138
472.42.131020.268981
482.12.082080.0179227
492.22.095230.104774
502.22.181580.0184202
511.82.05587-0.255868
522.12.07460.0254035
532.42.143260.256742
542.22.102980.0970232
552.12.008680.0913167
561.52.11029-0.610289
571.92.0714-0.171404
581.82.02406-0.224062
591.82.10853-0.308526
601.62.05113-0.451129
611.22.0381-0.838104
621.82.17157-0.371572
631.52.15076-0.650758
642.11.983510.11649
652.42.033670.366326
662.42.131580.268419
671.52.04212-0.54212
681.82.10938-0.309382
692.12.14507-0.045065
702.22.23143-0.0314315
712.12.03010.0698979
721.92.14762-0.247623
732.12.13061-0.0306123
741.92.00945-0.109446
751.62.16215-0.562149
762.42.240570.159429
771.92.09759-0.19759
781.92.07164-0.171639
791.91.94908-0.0490847
802.12.11263-0.0126289
811.82.12345-0.323453
822.12.11235-0.0123466
832.42.123290.276714
842.12.078730.0212663
852.22.145560.0544426
862.12.11432-0.0143225
872.22.178840.0211613
881.62.09596-0.49596
892.42.178740.221265
902.12.23802-0.138022
911.92.14361-0.243614
922.42.100420.299585
932.12.12083-0.0208265
941.82.1314-0.331398
952.12.12188-0.0218841
961.82.10217-0.302173
971.92.19467-0.294668
981.92.10117-0.201166
992.42.098720.301282
1001.82.08138-0.281377
1011.82.13099-0.330995
1022.12.070920.0290796
1032.12.082560.0174389
1042.42.154580.245418
1051.92.12847-0.22847
1061.82.12627-0.32627
1071.82.10973-0.309728
1082.22.159240.0407613
1092.42.15530.2447
1101.82.14973-0.349725
1112.42.124110.275891
1121.82.11718-0.317183
1131.92.08549-0.185488
1142.42.166890.233113
1152.12.11223-0.0122319
1161.92.0798-0.179799
1172.11.961890.138111
1182.72.057260.64274
1192.12.036590.0634089
1202.12.037920.0620802
1212.12.37871-0.278707
1222.12.059130.0408665
1232.12.15142-0.0514172
1242.12.17497-0.074968
1252.12.39142-0.291425
1262.11.941220.158783
1272.42.102990.297012
1281.951.95857-0.00857496
1292.12.044140.0558552
1302.11.997890.102112
1311.952.03277-0.0827672
1322.12.15399-0.0539893
1332.42.271590.128407
1342.11.991010.108994
1352.251.981590.268408
1362.42.196910.203092
1372.252.029360.220635
1382.552.072420.477576
1391.951.99972-0.0497199
1402.42.061420.338579
1412.12.00940.0906029
1422.11.97920.120797
1432.42.129110.270886
1442.12.15812-0.0581219
1452.12.097060.00293769
1462.251.963390.286606
1472.252.117870.132134
1482.42.043960.356043
1492.11.990240.109756
1502.12.08290.0170982
1512.42.13540.264604
1522.12.047870.052126
1531.951.98222-0.0322187
1542.12.06110.0389035
1552.252.052480.197522
1562.252.037580.212417
1572.42.021120.378885
1582.252.150230.099767
1592.252.050790.199207
1602.12.054570.0454322
1612.12.10139-0.00139034
1622.12.1945-0.0944996
1632.72.181290.518711
1642.12.043940.0560554
1652.12.26505-0.165053
1662.252.150140.0998602
1672.72.256070.443931
1682.42.143460.256545
1692.12.11505-0.0150507
1702.11.974910.125093
1712.42.296030.103967
1721.952.10097-0.150972
1732.72.236040.463965
1742.12.058670.0413298
1752.252.169510.0804946
1762.12.20139-0.101389
1772.72.175280.524723
1782.12.19816-0.098159
1792.12.20099-0.100991
1801.652.01103-0.361028
1811.652.00989-0.359889
1822.12.19699-0.0969876
1832.12.0910.00899698
1842.12.055320.0446821
1852.12.19113-0.0911298
1862.11.97740.122602
1872.42.29050.109499
1882.42.157310.242688
1892.12.11058-0.0105837
1902.252.193210.0567912
1912.42.117240.282764
1922.12.20813-0.108127
1932.12.10267-0.00266538
1942.42.150990.249011
1952.42.057790.342211
1962.12.13485-0.0348521
1972.12.1156-0.0156048
1982.42.188760.211238
1992.12.099060.000937338
2002.72.155530.544475
2012.12.13577-0.0357739
2022.12.17477-0.0747666
2032.252.095580.154425
2042.12.16654-0.0665425
2052.42.117410.282592
2062.252.174660.0753424
2072.252.136110.11389
2082.12.12063-0.0206293
2092.12.029230.070765
2102.42.145250.254745
2112.251.964510.285487
2122.12.11333-0.0133298
2132.12.033480.0665243
2141.652.10873-0.458727
2151.652.118-0.467998
2162.72.261020.438979
2172.12.21119-0.111193
2181.952.13609-0.18609
2192.252.003250.246746
2202.42.113630.286375
2211.952.09973-0.149728
2222.12.13176-0.0317619
2232.42.03370.366295
2242.12.17632-0.0763215
2252.12.003030.0969733
2262.42.018180.381815
2272.42.145510.254487
2282.42.202910.19709
2292.252.034230.215773
2302.42.107540.29246
2312.11.965670.134332
2322.11.944090.15591
2331.82.07561-0.275615
2342.72.106330.59367
2352.11.968510.131495
2362.12.14254-0.0425446
2372.42.158550.241453
2382.552.045670.504326
2392.552.002240.54776
2402.12.18703-0.0870314
2412.12.10196-0.0019563
2422.11.999580.100419
2432.251.975240.274765
2442.251.975480.274519
2452.12.059720.0402798
2462.12.074060.0259437
2471.952.07124-0.121235
2482.42.121490.278514
2492.12.067270.0327342
2502.42.13980.260204
2512.42.140420.259583
2522.42.290340.109664
2532.251.997740.252259
2541.952.10629-0.156288
2552.12.18628-0.0862824
2562.12.13416-0.0341555
2572.552.01280.537202
2582.12.094610.00539145
2592.11.990080.109923
2602.11.967560.132438
2611.952.08182-0.131816
2622.252.184860.0651404
2632.42.221180.178823
2641.952.02817-0.078173
2652.12.22319-0.123194
2662.12.10191-0.00190765
2671.951.98644-0.0364406
2682.12.20977-0.109775
2692.12.16671-0.0667098
2701.952.11066-0.160656
2712.12.13427-0.0342706
2721.952.16021-0.210209
2732.42.140420.259583
2742.42.16480.235199
2752.42.146510.253487
2761.952.1132-0.163198
2772.72.134060.565935
2782.12.14477-0.0447747
2791.952.11979-0.169786
2802.12.080770.0192338
2811.952.09943-0.149428
2822.12.19742-0.097422
2832.252.224660.0253429
2842.72.18660.513395
2852.12.024750.0752464
2862.42.180670.219329
2871.352.07357-0.723574

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1.5 & 2.1349 & -0.634905 \tabularnewline
2 & 1.8 & 2.07442 & -0.274418 \tabularnewline
3 & 2.1 & 2.04442 & 0.0555766 \tabularnewline
4 & 2.1 & 2.03369 & 0.0663071 \tabularnewline
5 & 1.9 & 2.12151 & -0.221515 \tabularnewline
6 & 1.6 & 2.03188 & -0.431881 \tabularnewline
7 & 2.1 & 2.10678 & -0.00677535 \tabularnewline
8 & 2.1 & 2.11361 & -0.013613 \tabularnewline
9 & 2.2 & 2.17955 & 0.0204544 \tabularnewline
10 & 1.5 & 2.17512 & -0.67512 \tabularnewline
11 & 1.9 & 2.06109 & -0.161095 \tabularnewline
12 & 2.2 & 2.07226 & 0.127738 \tabularnewline
13 & 1.6 & 2.11881 & -0.518809 \tabularnewline
14 & 1.5 & 2.01165 & -0.511651 \tabularnewline
15 & 1.9 & 2.18422 & -0.284223 \tabularnewline
16 & 0.1 & 1.97028 & -1.87028 \tabularnewline
17 & 2.2 & 2.11493 & 0.0850687 \tabularnewline
18 & 1.8 & 2.14171 & -0.341708 \tabularnewline
19 & 1.6 & 2.03205 & -0.432054 \tabularnewline
20 & 2.2 & 2.17292 & 0.0270849 \tabularnewline
21 & 2.1 & 2.04424 & 0.0557605 \tabularnewline
22 & 1.9 & 1.98368 & -0.0836777 \tabularnewline
23 & 1.6 & 2.04828 & -0.448279 \tabularnewline
24 & 1.9 & 2.05421 & -0.154207 \tabularnewline
25 & 2.2 & 2.14022 & 0.0597755 \tabularnewline
26 & 1.8 & 2.09898 & -0.298984 \tabularnewline
27 & 2.4 & 2.15229 & 0.247709 \tabularnewline
28 & 2.4 & 2.32817 & 0.0718262 \tabularnewline
29 & 2.5 & 2.16493 & 0.335068 \tabularnewline
30 & 1.9 & 2.1047 & -0.204703 \tabularnewline
31 & 2.1 & 2.03713 & 0.0628713 \tabularnewline
32 & 1.9 & 2.0567 & -0.156695 \tabularnewline
33 & 2.1 & 2.04772 & 0.0522812 \tabularnewline
34 & 1.9 & 2.09414 & -0.194145 \tabularnewline
35 & 1.5 & 2.02412 & -0.52412 \tabularnewline
36 & 1.9 & 2.11059 & -0.210594 \tabularnewline
37 & 2.1 & 2.05599 & 0.044006 \tabularnewline
38 & 1.5 & 2.03432 & -0.534324 \tabularnewline
39 & 2.1 & 2.03373 & 0.0662727 \tabularnewline
40 & 2.1 & 2.10562 & -0.00561939 \tabularnewline
41 & 1.8 & 2.1039 & -0.303902 \tabularnewline
42 & 2.4 & 2.08886 & 0.311139 \tabularnewline
43 & 2.1 & 2.02404 & 0.0759636 \tabularnewline
44 & 1.9 & 2.06304 & -0.163043 \tabularnewline
45 & 2.1 & 2.09375 & 0.0062544 \tabularnewline
46 & 1.9 & 2.06014 & -0.160138 \tabularnewline
47 & 2.4 & 2.13102 & 0.268981 \tabularnewline
48 & 2.1 & 2.08208 & 0.0179227 \tabularnewline
49 & 2.2 & 2.09523 & 0.104774 \tabularnewline
50 & 2.2 & 2.18158 & 0.0184202 \tabularnewline
51 & 1.8 & 2.05587 & -0.255868 \tabularnewline
52 & 2.1 & 2.0746 & 0.0254035 \tabularnewline
53 & 2.4 & 2.14326 & 0.256742 \tabularnewline
54 & 2.2 & 2.10298 & 0.0970232 \tabularnewline
55 & 2.1 & 2.00868 & 0.0913167 \tabularnewline
56 & 1.5 & 2.11029 & -0.610289 \tabularnewline
57 & 1.9 & 2.0714 & -0.171404 \tabularnewline
58 & 1.8 & 2.02406 & -0.224062 \tabularnewline
59 & 1.8 & 2.10853 & -0.308526 \tabularnewline
60 & 1.6 & 2.05113 & -0.451129 \tabularnewline
61 & 1.2 & 2.0381 & -0.838104 \tabularnewline
62 & 1.8 & 2.17157 & -0.371572 \tabularnewline
63 & 1.5 & 2.15076 & -0.650758 \tabularnewline
64 & 2.1 & 1.98351 & 0.11649 \tabularnewline
65 & 2.4 & 2.03367 & 0.366326 \tabularnewline
66 & 2.4 & 2.13158 & 0.268419 \tabularnewline
67 & 1.5 & 2.04212 & -0.54212 \tabularnewline
68 & 1.8 & 2.10938 & -0.309382 \tabularnewline
69 & 2.1 & 2.14507 & -0.045065 \tabularnewline
70 & 2.2 & 2.23143 & -0.0314315 \tabularnewline
71 & 2.1 & 2.0301 & 0.0698979 \tabularnewline
72 & 1.9 & 2.14762 & -0.247623 \tabularnewline
73 & 2.1 & 2.13061 & -0.0306123 \tabularnewline
74 & 1.9 & 2.00945 & -0.109446 \tabularnewline
75 & 1.6 & 2.16215 & -0.562149 \tabularnewline
76 & 2.4 & 2.24057 & 0.159429 \tabularnewline
77 & 1.9 & 2.09759 & -0.19759 \tabularnewline
78 & 1.9 & 2.07164 & -0.171639 \tabularnewline
79 & 1.9 & 1.94908 & -0.0490847 \tabularnewline
80 & 2.1 & 2.11263 & -0.0126289 \tabularnewline
81 & 1.8 & 2.12345 & -0.323453 \tabularnewline
82 & 2.1 & 2.11235 & -0.0123466 \tabularnewline
83 & 2.4 & 2.12329 & 0.276714 \tabularnewline
84 & 2.1 & 2.07873 & 0.0212663 \tabularnewline
85 & 2.2 & 2.14556 & 0.0544426 \tabularnewline
86 & 2.1 & 2.11432 & -0.0143225 \tabularnewline
87 & 2.2 & 2.17884 & 0.0211613 \tabularnewline
88 & 1.6 & 2.09596 & -0.49596 \tabularnewline
89 & 2.4 & 2.17874 & 0.221265 \tabularnewline
90 & 2.1 & 2.23802 & -0.138022 \tabularnewline
91 & 1.9 & 2.14361 & -0.243614 \tabularnewline
92 & 2.4 & 2.10042 & 0.299585 \tabularnewline
93 & 2.1 & 2.12083 & -0.0208265 \tabularnewline
94 & 1.8 & 2.1314 & -0.331398 \tabularnewline
95 & 2.1 & 2.12188 & -0.0218841 \tabularnewline
96 & 1.8 & 2.10217 & -0.302173 \tabularnewline
97 & 1.9 & 2.19467 & -0.294668 \tabularnewline
98 & 1.9 & 2.10117 & -0.201166 \tabularnewline
99 & 2.4 & 2.09872 & 0.301282 \tabularnewline
100 & 1.8 & 2.08138 & -0.281377 \tabularnewline
101 & 1.8 & 2.13099 & -0.330995 \tabularnewline
102 & 2.1 & 2.07092 & 0.0290796 \tabularnewline
103 & 2.1 & 2.08256 & 0.0174389 \tabularnewline
104 & 2.4 & 2.15458 & 0.245418 \tabularnewline
105 & 1.9 & 2.12847 & -0.22847 \tabularnewline
106 & 1.8 & 2.12627 & -0.32627 \tabularnewline
107 & 1.8 & 2.10973 & -0.309728 \tabularnewline
108 & 2.2 & 2.15924 & 0.0407613 \tabularnewline
109 & 2.4 & 2.1553 & 0.2447 \tabularnewline
110 & 1.8 & 2.14973 & -0.349725 \tabularnewline
111 & 2.4 & 2.12411 & 0.275891 \tabularnewline
112 & 1.8 & 2.11718 & -0.317183 \tabularnewline
113 & 1.9 & 2.08549 & -0.185488 \tabularnewline
114 & 2.4 & 2.16689 & 0.233113 \tabularnewline
115 & 2.1 & 2.11223 & -0.0122319 \tabularnewline
116 & 1.9 & 2.0798 & -0.179799 \tabularnewline
117 & 2.1 & 1.96189 & 0.138111 \tabularnewline
118 & 2.7 & 2.05726 & 0.64274 \tabularnewline
119 & 2.1 & 2.03659 & 0.0634089 \tabularnewline
120 & 2.1 & 2.03792 & 0.0620802 \tabularnewline
121 & 2.1 & 2.37871 & -0.278707 \tabularnewline
122 & 2.1 & 2.05913 & 0.0408665 \tabularnewline
123 & 2.1 & 2.15142 & -0.0514172 \tabularnewline
124 & 2.1 & 2.17497 & -0.074968 \tabularnewline
125 & 2.1 & 2.39142 & -0.291425 \tabularnewline
126 & 2.1 & 1.94122 & 0.158783 \tabularnewline
127 & 2.4 & 2.10299 & 0.297012 \tabularnewline
128 & 1.95 & 1.95857 & -0.00857496 \tabularnewline
129 & 2.1 & 2.04414 & 0.0558552 \tabularnewline
130 & 2.1 & 1.99789 & 0.102112 \tabularnewline
131 & 1.95 & 2.03277 & -0.0827672 \tabularnewline
132 & 2.1 & 2.15399 & -0.0539893 \tabularnewline
133 & 2.4 & 2.27159 & 0.128407 \tabularnewline
134 & 2.1 & 1.99101 & 0.108994 \tabularnewline
135 & 2.25 & 1.98159 & 0.268408 \tabularnewline
136 & 2.4 & 2.19691 & 0.203092 \tabularnewline
137 & 2.25 & 2.02936 & 0.220635 \tabularnewline
138 & 2.55 & 2.07242 & 0.477576 \tabularnewline
139 & 1.95 & 1.99972 & -0.0497199 \tabularnewline
140 & 2.4 & 2.06142 & 0.338579 \tabularnewline
141 & 2.1 & 2.0094 & 0.0906029 \tabularnewline
142 & 2.1 & 1.9792 & 0.120797 \tabularnewline
143 & 2.4 & 2.12911 & 0.270886 \tabularnewline
144 & 2.1 & 2.15812 & -0.0581219 \tabularnewline
145 & 2.1 & 2.09706 & 0.00293769 \tabularnewline
146 & 2.25 & 1.96339 & 0.286606 \tabularnewline
147 & 2.25 & 2.11787 & 0.132134 \tabularnewline
148 & 2.4 & 2.04396 & 0.356043 \tabularnewline
149 & 2.1 & 1.99024 & 0.109756 \tabularnewline
150 & 2.1 & 2.0829 & 0.0170982 \tabularnewline
151 & 2.4 & 2.1354 & 0.264604 \tabularnewline
152 & 2.1 & 2.04787 & 0.052126 \tabularnewline
153 & 1.95 & 1.98222 & -0.0322187 \tabularnewline
154 & 2.1 & 2.0611 & 0.0389035 \tabularnewline
155 & 2.25 & 2.05248 & 0.197522 \tabularnewline
156 & 2.25 & 2.03758 & 0.212417 \tabularnewline
157 & 2.4 & 2.02112 & 0.378885 \tabularnewline
158 & 2.25 & 2.15023 & 0.099767 \tabularnewline
159 & 2.25 & 2.05079 & 0.199207 \tabularnewline
160 & 2.1 & 2.05457 & 0.0454322 \tabularnewline
161 & 2.1 & 2.10139 & -0.00139034 \tabularnewline
162 & 2.1 & 2.1945 & -0.0944996 \tabularnewline
163 & 2.7 & 2.18129 & 0.518711 \tabularnewline
164 & 2.1 & 2.04394 & 0.0560554 \tabularnewline
165 & 2.1 & 2.26505 & -0.165053 \tabularnewline
166 & 2.25 & 2.15014 & 0.0998602 \tabularnewline
167 & 2.7 & 2.25607 & 0.443931 \tabularnewline
168 & 2.4 & 2.14346 & 0.256545 \tabularnewline
169 & 2.1 & 2.11505 & -0.0150507 \tabularnewline
170 & 2.1 & 1.97491 & 0.125093 \tabularnewline
171 & 2.4 & 2.29603 & 0.103967 \tabularnewline
172 & 1.95 & 2.10097 & -0.150972 \tabularnewline
173 & 2.7 & 2.23604 & 0.463965 \tabularnewline
174 & 2.1 & 2.05867 & 0.0413298 \tabularnewline
175 & 2.25 & 2.16951 & 0.0804946 \tabularnewline
176 & 2.1 & 2.20139 & -0.101389 \tabularnewline
177 & 2.7 & 2.17528 & 0.524723 \tabularnewline
178 & 2.1 & 2.19816 & -0.098159 \tabularnewline
179 & 2.1 & 2.20099 & -0.100991 \tabularnewline
180 & 1.65 & 2.01103 & -0.361028 \tabularnewline
181 & 1.65 & 2.00989 & -0.359889 \tabularnewline
182 & 2.1 & 2.19699 & -0.0969876 \tabularnewline
183 & 2.1 & 2.091 & 0.00899698 \tabularnewline
184 & 2.1 & 2.05532 & 0.0446821 \tabularnewline
185 & 2.1 & 2.19113 & -0.0911298 \tabularnewline
186 & 2.1 & 1.9774 & 0.122602 \tabularnewline
187 & 2.4 & 2.2905 & 0.109499 \tabularnewline
188 & 2.4 & 2.15731 & 0.242688 \tabularnewline
189 & 2.1 & 2.11058 & -0.0105837 \tabularnewline
190 & 2.25 & 2.19321 & 0.0567912 \tabularnewline
191 & 2.4 & 2.11724 & 0.282764 \tabularnewline
192 & 2.1 & 2.20813 & -0.108127 \tabularnewline
193 & 2.1 & 2.10267 & -0.00266538 \tabularnewline
194 & 2.4 & 2.15099 & 0.249011 \tabularnewline
195 & 2.4 & 2.05779 & 0.342211 \tabularnewline
196 & 2.1 & 2.13485 & -0.0348521 \tabularnewline
197 & 2.1 & 2.1156 & -0.0156048 \tabularnewline
198 & 2.4 & 2.18876 & 0.211238 \tabularnewline
199 & 2.1 & 2.09906 & 0.000937338 \tabularnewline
200 & 2.7 & 2.15553 & 0.544475 \tabularnewline
201 & 2.1 & 2.13577 & -0.0357739 \tabularnewline
202 & 2.1 & 2.17477 & -0.0747666 \tabularnewline
203 & 2.25 & 2.09558 & 0.154425 \tabularnewline
204 & 2.1 & 2.16654 & -0.0665425 \tabularnewline
205 & 2.4 & 2.11741 & 0.282592 \tabularnewline
206 & 2.25 & 2.17466 & 0.0753424 \tabularnewline
207 & 2.25 & 2.13611 & 0.11389 \tabularnewline
208 & 2.1 & 2.12063 & -0.0206293 \tabularnewline
209 & 2.1 & 2.02923 & 0.070765 \tabularnewline
210 & 2.4 & 2.14525 & 0.254745 \tabularnewline
211 & 2.25 & 1.96451 & 0.285487 \tabularnewline
212 & 2.1 & 2.11333 & -0.0133298 \tabularnewline
213 & 2.1 & 2.03348 & 0.0665243 \tabularnewline
214 & 1.65 & 2.10873 & -0.458727 \tabularnewline
215 & 1.65 & 2.118 & -0.467998 \tabularnewline
216 & 2.7 & 2.26102 & 0.438979 \tabularnewline
217 & 2.1 & 2.21119 & -0.111193 \tabularnewline
218 & 1.95 & 2.13609 & -0.18609 \tabularnewline
219 & 2.25 & 2.00325 & 0.246746 \tabularnewline
220 & 2.4 & 2.11363 & 0.286375 \tabularnewline
221 & 1.95 & 2.09973 & -0.149728 \tabularnewline
222 & 2.1 & 2.13176 & -0.0317619 \tabularnewline
223 & 2.4 & 2.0337 & 0.366295 \tabularnewline
224 & 2.1 & 2.17632 & -0.0763215 \tabularnewline
225 & 2.1 & 2.00303 & 0.0969733 \tabularnewline
226 & 2.4 & 2.01818 & 0.381815 \tabularnewline
227 & 2.4 & 2.14551 & 0.254487 \tabularnewline
228 & 2.4 & 2.20291 & 0.19709 \tabularnewline
229 & 2.25 & 2.03423 & 0.215773 \tabularnewline
230 & 2.4 & 2.10754 & 0.29246 \tabularnewline
231 & 2.1 & 1.96567 & 0.134332 \tabularnewline
232 & 2.1 & 1.94409 & 0.15591 \tabularnewline
233 & 1.8 & 2.07561 & -0.275615 \tabularnewline
234 & 2.7 & 2.10633 & 0.59367 \tabularnewline
235 & 2.1 & 1.96851 & 0.131495 \tabularnewline
236 & 2.1 & 2.14254 & -0.0425446 \tabularnewline
237 & 2.4 & 2.15855 & 0.241453 \tabularnewline
238 & 2.55 & 2.04567 & 0.504326 \tabularnewline
239 & 2.55 & 2.00224 & 0.54776 \tabularnewline
240 & 2.1 & 2.18703 & -0.0870314 \tabularnewline
241 & 2.1 & 2.10196 & -0.0019563 \tabularnewline
242 & 2.1 & 1.99958 & 0.100419 \tabularnewline
243 & 2.25 & 1.97524 & 0.274765 \tabularnewline
244 & 2.25 & 1.97548 & 0.274519 \tabularnewline
245 & 2.1 & 2.05972 & 0.0402798 \tabularnewline
246 & 2.1 & 2.07406 & 0.0259437 \tabularnewline
247 & 1.95 & 2.07124 & -0.121235 \tabularnewline
248 & 2.4 & 2.12149 & 0.278514 \tabularnewline
249 & 2.1 & 2.06727 & 0.0327342 \tabularnewline
250 & 2.4 & 2.1398 & 0.260204 \tabularnewline
251 & 2.4 & 2.14042 & 0.259583 \tabularnewline
252 & 2.4 & 2.29034 & 0.109664 \tabularnewline
253 & 2.25 & 1.99774 & 0.252259 \tabularnewline
254 & 1.95 & 2.10629 & -0.156288 \tabularnewline
255 & 2.1 & 2.18628 & -0.0862824 \tabularnewline
256 & 2.1 & 2.13416 & -0.0341555 \tabularnewline
257 & 2.55 & 2.0128 & 0.537202 \tabularnewline
258 & 2.1 & 2.09461 & 0.00539145 \tabularnewline
259 & 2.1 & 1.99008 & 0.109923 \tabularnewline
260 & 2.1 & 1.96756 & 0.132438 \tabularnewline
261 & 1.95 & 2.08182 & -0.131816 \tabularnewline
262 & 2.25 & 2.18486 & 0.0651404 \tabularnewline
263 & 2.4 & 2.22118 & 0.178823 \tabularnewline
264 & 1.95 & 2.02817 & -0.078173 \tabularnewline
265 & 2.1 & 2.22319 & -0.123194 \tabularnewline
266 & 2.1 & 2.10191 & -0.00190765 \tabularnewline
267 & 1.95 & 1.98644 & -0.0364406 \tabularnewline
268 & 2.1 & 2.20977 & -0.109775 \tabularnewline
269 & 2.1 & 2.16671 & -0.0667098 \tabularnewline
270 & 1.95 & 2.11066 & -0.160656 \tabularnewline
271 & 2.1 & 2.13427 & -0.0342706 \tabularnewline
272 & 1.95 & 2.16021 & -0.210209 \tabularnewline
273 & 2.4 & 2.14042 & 0.259583 \tabularnewline
274 & 2.4 & 2.1648 & 0.235199 \tabularnewline
275 & 2.4 & 2.14651 & 0.253487 \tabularnewline
276 & 1.95 & 2.1132 & -0.163198 \tabularnewline
277 & 2.7 & 2.13406 & 0.565935 \tabularnewline
278 & 2.1 & 2.14477 & -0.0447747 \tabularnewline
279 & 1.95 & 2.11979 & -0.169786 \tabularnewline
280 & 2.1 & 2.08077 & 0.0192338 \tabularnewline
281 & 1.95 & 2.09943 & -0.149428 \tabularnewline
282 & 2.1 & 2.19742 & -0.097422 \tabularnewline
283 & 2.25 & 2.22466 & 0.0253429 \tabularnewline
284 & 2.7 & 2.1866 & 0.513395 \tabularnewline
285 & 2.1 & 2.02475 & 0.0752464 \tabularnewline
286 & 2.4 & 2.18067 & 0.219329 \tabularnewline
287 & 1.35 & 2.07357 & -0.723574 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265660&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]1.5[/C][C]2.1349[/C][C]-0.634905[/C][/ROW]
[ROW][C]2[/C][C]1.8[/C][C]2.07442[/C][C]-0.274418[/C][/ROW]
[ROW][C]3[/C][C]2.1[/C][C]2.04442[/C][C]0.0555766[/C][/ROW]
[ROW][C]4[/C][C]2.1[/C][C]2.03369[/C][C]0.0663071[/C][/ROW]
[ROW][C]5[/C][C]1.9[/C][C]2.12151[/C][C]-0.221515[/C][/ROW]
[ROW][C]6[/C][C]1.6[/C][C]2.03188[/C][C]-0.431881[/C][/ROW]
[ROW][C]7[/C][C]2.1[/C][C]2.10678[/C][C]-0.00677535[/C][/ROW]
[ROW][C]8[/C][C]2.1[/C][C]2.11361[/C][C]-0.013613[/C][/ROW]
[ROW][C]9[/C][C]2.2[/C][C]2.17955[/C][C]0.0204544[/C][/ROW]
[ROW][C]10[/C][C]1.5[/C][C]2.17512[/C][C]-0.67512[/C][/ROW]
[ROW][C]11[/C][C]1.9[/C][C]2.06109[/C][C]-0.161095[/C][/ROW]
[ROW][C]12[/C][C]2.2[/C][C]2.07226[/C][C]0.127738[/C][/ROW]
[ROW][C]13[/C][C]1.6[/C][C]2.11881[/C][C]-0.518809[/C][/ROW]
[ROW][C]14[/C][C]1.5[/C][C]2.01165[/C][C]-0.511651[/C][/ROW]
[ROW][C]15[/C][C]1.9[/C][C]2.18422[/C][C]-0.284223[/C][/ROW]
[ROW][C]16[/C][C]0.1[/C][C]1.97028[/C][C]-1.87028[/C][/ROW]
[ROW][C]17[/C][C]2.2[/C][C]2.11493[/C][C]0.0850687[/C][/ROW]
[ROW][C]18[/C][C]1.8[/C][C]2.14171[/C][C]-0.341708[/C][/ROW]
[ROW][C]19[/C][C]1.6[/C][C]2.03205[/C][C]-0.432054[/C][/ROW]
[ROW][C]20[/C][C]2.2[/C][C]2.17292[/C][C]0.0270849[/C][/ROW]
[ROW][C]21[/C][C]2.1[/C][C]2.04424[/C][C]0.0557605[/C][/ROW]
[ROW][C]22[/C][C]1.9[/C][C]1.98368[/C][C]-0.0836777[/C][/ROW]
[ROW][C]23[/C][C]1.6[/C][C]2.04828[/C][C]-0.448279[/C][/ROW]
[ROW][C]24[/C][C]1.9[/C][C]2.05421[/C][C]-0.154207[/C][/ROW]
[ROW][C]25[/C][C]2.2[/C][C]2.14022[/C][C]0.0597755[/C][/ROW]
[ROW][C]26[/C][C]1.8[/C][C]2.09898[/C][C]-0.298984[/C][/ROW]
[ROW][C]27[/C][C]2.4[/C][C]2.15229[/C][C]0.247709[/C][/ROW]
[ROW][C]28[/C][C]2.4[/C][C]2.32817[/C][C]0.0718262[/C][/ROW]
[ROW][C]29[/C][C]2.5[/C][C]2.16493[/C][C]0.335068[/C][/ROW]
[ROW][C]30[/C][C]1.9[/C][C]2.1047[/C][C]-0.204703[/C][/ROW]
[ROW][C]31[/C][C]2.1[/C][C]2.03713[/C][C]0.0628713[/C][/ROW]
[ROW][C]32[/C][C]1.9[/C][C]2.0567[/C][C]-0.156695[/C][/ROW]
[ROW][C]33[/C][C]2.1[/C][C]2.04772[/C][C]0.0522812[/C][/ROW]
[ROW][C]34[/C][C]1.9[/C][C]2.09414[/C][C]-0.194145[/C][/ROW]
[ROW][C]35[/C][C]1.5[/C][C]2.02412[/C][C]-0.52412[/C][/ROW]
[ROW][C]36[/C][C]1.9[/C][C]2.11059[/C][C]-0.210594[/C][/ROW]
[ROW][C]37[/C][C]2.1[/C][C]2.05599[/C][C]0.044006[/C][/ROW]
[ROW][C]38[/C][C]1.5[/C][C]2.03432[/C][C]-0.534324[/C][/ROW]
[ROW][C]39[/C][C]2.1[/C][C]2.03373[/C][C]0.0662727[/C][/ROW]
[ROW][C]40[/C][C]2.1[/C][C]2.10562[/C][C]-0.00561939[/C][/ROW]
[ROW][C]41[/C][C]1.8[/C][C]2.1039[/C][C]-0.303902[/C][/ROW]
[ROW][C]42[/C][C]2.4[/C][C]2.08886[/C][C]0.311139[/C][/ROW]
[ROW][C]43[/C][C]2.1[/C][C]2.02404[/C][C]0.0759636[/C][/ROW]
[ROW][C]44[/C][C]1.9[/C][C]2.06304[/C][C]-0.163043[/C][/ROW]
[ROW][C]45[/C][C]2.1[/C][C]2.09375[/C][C]0.0062544[/C][/ROW]
[ROW][C]46[/C][C]1.9[/C][C]2.06014[/C][C]-0.160138[/C][/ROW]
[ROW][C]47[/C][C]2.4[/C][C]2.13102[/C][C]0.268981[/C][/ROW]
[ROW][C]48[/C][C]2.1[/C][C]2.08208[/C][C]0.0179227[/C][/ROW]
[ROW][C]49[/C][C]2.2[/C][C]2.09523[/C][C]0.104774[/C][/ROW]
[ROW][C]50[/C][C]2.2[/C][C]2.18158[/C][C]0.0184202[/C][/ROW]
[ROW][C]51[/C][C]1.8[/C][C]2.05587[/C][C]-0.255868[/C][/ROW]
[ROW][C]52[/C][C]2.1[/C][C]2.0746[/C][C]0.0254035[/C][/ROW]
[ROW][C]53[/C][C]2.4[/C][C]2.14326[/C][C]0.256742[/C][/ROW]
[ROW][C]54[/C][C]2.2[/C][C]2.10298[/C][C]0.0970232[/C][/ROW]
[ROW][C]55[/C][C]2.1[/C][C]2.00868[/C][C]0.0913167[/C][/ROW]
[ROW][C]56[/C][C]1.5[/C][C]2.11029[/C][C]-0.610289[/C][/ROW]
[ROW][C]57[/C][C]1.9[/C][C]2.0714[/C][C]-0.171404[/C][/ROW]
[ROW][C]58[/C][C]1.8[/C][C]2.02406[/C][C]-0.224062[/C][/ROW]
[ROW][C]59[/C][C]1.8[/C][C]2.10853[/C][C]-0.308526[/C][/ROW]
[ROW][C]60[/C][C]1.6[/C][C]2.05113[/C][C]-0.451129[/C][/ROW]
[ROW][C]61[/C][C]1.2[/C][C]2.0381[/C][C]-0.838104[/C][/ROW]
[ROW][C]62[/C][C]1.8[/C][C]2.17157[/C][C]-0.371572[/C][/ROW]
[ROW][C]63[/C][C]1.5[/C][C]2.15076[/C][C]-0.650758[/C][/ROW]
[ROW][C]64[/C][C]2.1[/C][C]1.98351[/C][C]0.11649[/C][/ROW]
[ROW][C]65[/C][C]2.4[/C][C]2.03367[/C][C]0.366326[/C][/ROW]
[ROW][C]66[/C][C]2.4[/C][C]2.13158[/C][C]0.268419[/C][/ROW]
[ROW][C]67[/C][C]1.5[/C][C]2.04212[/C][C]-0.54212[/C][/ROW]
[ROW][C]68[/C][C]1.8[/C][C]2.10938[/C][C]-0.309382[/C][/ROW]
[ROW][C]69[/C][C]2.1[/C][C]2.14507[/C][C]-0.045065[/C][/ROW]
[ROW][C]70[/C][C]2.2[/C][C]2.23143[/C][C]-0.0314315[/C][/ROW]
[ROW][C]71[/C][C]2.1[/C][C]2.0301[/C][C]0.0698979[/C][/ROW]
[ROW][C]72[/C][C]1.9[/C][C]2.14762[/C][C]-0.247623[/C][/ROW]
[ROW][C]73[/C][C]2.1[/C][C]2.13061[/C][C]-0.0306123[/C][/ROW]
[ROW][C]74[/C][C]1.9[/C][C]2.00945[/C][C]-0.109446[/C][/ROW]
[ROW][C]75[/C][C]1.6[/C][C]2.16215[/C][C]-0.562149[/C][/ROW]
[ROW][C]76[/C][C]2.4[/C][C]2.24057[/C][C]0.159429[/C][/ROW]
[ROW][C]77[/C][C]1.9[/C][C]2.09759[/C][C]-0.19759[/C][/ROW]
[ROW][C]78[/C][C]1.9[/C][C]2.07164[/C][C]-0.171639[/C][/ROW]
[ROW][C]79[/C][C]1.9[/C][C]1.94908[/C][C]-0.0490847[/C][/ROW]
[ROW][C]80[/C][C]2.1[/C][C]2.11263[/C][C]-0.0126289[/C][/ROW]
[ROW][C]81[/C][C]1.8[/C][C]2.12345[/C][C]-0.323453[/C][/ROW]
[ROW][C]82[/C][C]2.1[/C][C]2.11235[/C][C]-0.0123466[/C][/ROW]
[ROW][C]83[/C][C]2.4[/C][C]2.12329[/C][C]0.276714[/C][/ROW]
[ROW][C]84[/C][C]2.1[/C][C]2.07873[/C][C]0.0212663[/C][/ROW]
[ROW][C]85[/C][C]2.2[/C][C]2.14556[/C][C]0.0544426[/C][/ROW]
[ROW][C]86[/C][C]2.1[/C][C]2.11432[/C][C]-0.0143225[/C][/ROW]
[ROW][C]87[/C][C]2.2[/C][C]2.17884[/C][C]0.0211613[/C][/ROW]
[ROW][C]88[/C][C]1.6[/C][C]2.09596[/C][C]-0.49596[/C][/ROW]
[ROW][C]89[/C][C]2.4[/C][C]2.17874[/C][C]0.221265[/C][/ROW]
[ROW][C]90[/C][C]2.1[/C][C]2.23802[/C][C]-0.138022[/C][/ROW]
[ROW][C]91[/C][C]1.9[/C][C]2.14361[/C][C]-0.243614[/C][/ROW]
[ROW][C]92[/C][C]2.4[/C][C]2.10042[/C][C]0.299585[/C][/ROW]
[ROW][C]93[/C][C]2.1[/C][C]2.12083[/C][C]-0.0208265[/C][/ROW]
[ROW][C]94[/C][C]1.8[/C][C]2.1314[/C][C]-0.331398[/C][/ROW]
[ROW][C]95[/C][C]2.1[/C][C]2.12188[/C][C]-0.0218841[/C][/ROW]
[ROW][C]96[/C][C]1.8[/C][C]2.10217[/C][C]-0.302173[/C][/ROW]
[ROW][C]97[/C][C]1.9[/C][C]2.19467[/C][C]-0.294668[/C][/ROW]
[ROW][C]98[/C][C]1.9[/C][C]2.10117[/C][C]-0.201166[/C][/ROW]
[ROW][C]99[/C][C]2.4[/C][C]2.09872[/C][C]0.301282[/C][/ROW]
[ROW][C]100[/C][C]1.8[/C][C]2.08138[/C][C]-0.281377[/C][/ROW]
[ROW][C]101[/C][C]1.8[/C][C]2.13099[/C][C]-0.330995[/C][/ROW]
[ROW][C]102[/C][C]2.1[/C][C]2.07092[/C][C]0.0290796[/C][/ROW]
[ROW][C]103[/C][C]2.1[/C][C]2.08256[/C][C]0.0174389[/C][/ROW]
[ROW][C]104[/C][C]2.4[/C][C]2.15458[/C][C]0.245418[/C][/ROW]
[ROW][C]105[/C][C]1.9[/C][C]2.12847[/C][C]-0.22847[/C][/ROW]
[ROW][C]106[/C][C]1.8[/C][C]2.12627[/C][C]-0.32627[/C][/ROW]
[ROW][C]107[/C][C]1.8[/C][C]2.10973[/C][C]-0.309728[/C][/ROW]
[ROW][C]108[/C][C]2.2[/C][C]2.15924[/C][C]0.0407613[/C][/ROW]
[ROW][C]109[/C][C]2.4[/C][C]2.1553[/C][C]0.2447[/C][/ROW]
[ROW][C]110[/C][C]1.8[/C][C]2.14973[/C][C]-0.349725[/C][/ROW]
[ROW][C]111[/C][C]2.4[/C][C]2.12411[/C][C]0.275891[/C][/ROW]
[ROW][C]112[/C][C]1.8[/C][C]2.11718[/C][C]-0.317183[/C][/ROW]
[ROW][C]113[/C][C]1.9[/C][C]2.08549[/C][C]-0.185488[/C][/ROW]
[ROW][C]114[/C][C]2.4[/C][C]2.16689[/C][C]0.233113[/C][/ROW]
[ROW][C]115[/C][C]2.1[/C][C]2.11223[/C][C]-0.0122319[/C][/ROW]
[ROW][C]116[/C][C]1.9[/C][C]2.0798[/C][C]-0.179799[/C][/ROW]
[ROW][C]117[/C][C]2.1[/C][C]1.96189[/C][C]0.138111[/C][/ROW]
[ROW][C]118[/C][C]2.7[/C][C]2.05726[/C][C]0.64274[/C][/ROW]
[ROW][C]119[/C][C]2.1[/C][C]2.03659[/C][C]0.0634089[/C][/ROW]
[ROW][C]120[/C][C]2.1[/C][C]2.03792[/C][C]0.0620802[/C][/ROW]
[ROW][C]121[/C][C]2.1[/C][C]2.37871[/C][C]-0.278707[/C][/ROW]
[ROW][C]122[/C][C]2.1[/C][C]2.05913[/C][C]0.0408665[/C][/ROW]
[ROW][C]123[/C][C]2.1[/C][C]2.15142[/C][C]-0.0514172[/C][/ROW]
[ROW][C]124[/C][C]2.1[/C][C]2.17497[/C][C]-0.074968[/C][/ROW]
[ROW][C]125[/C][C]2.1[/C][C]2.39142[/C][C]-0.291425[/C][/ROW]
[ROW][C]126[/C][C]2.1[/C][C]1.94122[/C][C]0.158783[/C][/ROW]
[ROW][C]127[/C][C]2.4[/C][C]2.10299[/C][C]0.297012[/C][/ROW]
[ROW][C]128[/C][C]1.95[/C][C]1.95857[/C][C]-0.00857496[/C][/ROW]
[ROW][C]129[/C][C]2.1[/C][C]2.04414[/C][C]0.0558552[/C][/ROW]
[ROW][C]130[/C][C]2.1[/C][C]1.99789[/C][C]0.102112[/C][/ROW]
[ROW][C]131[/C][C]1.95[/C][C]2.03277[/C][C]-0.0827672[/C][/ROW]
[ROW][C]132[/C][C]2.1[/C][C]2.15399[/C][C]-0.0539893[/C][/ROW]
[ROW][C]133[/C][C]2.4[/C][C]2.27159[/C][C]0.128407[/C][/ROW]
[ROW][C]134[/C][C]2.1[/C][C]1.99101[/C][C]0.108994[/C][/ROW]
[ROW][C]135[/C][C]2.25[/C][C]1.98159[/C][C]0.268408[/C][/ROW]
[ROW][C]136[/C][C]2.4[/C][C]2.19691[/C][C]0.203092[/C][/ROW]
[ROW][C]137[/C][C]2.25[/C][C]2.02936[/C][C]0.220635[/C][/ROW]
[ROW][C]138[/C][C]2.55[/C][C]2.07242[/C][C]0.477576[/C][/ROW]
[ROW][C]139[/C][C]1.95[/C][C]1.99972[/C][C]-0.0497199[/C][/ROW]
[ROW][C]140[/C][C]2.4[/C][C]2.06142[/C][C]0.338579[/C][/ROW]
[ROW][C]141[/C][C]2.1[/C][C]2.0094[/C][C]0.0906029[/C][/ROW]
[ROW][C]142[/C][C]2.1[/C][C]1.9792[/C][C]0.120797[/C][/ROW]
[ROW][C]143[/C][C]2.4[/C][C]2.12911[/C][C]0.270886[/C][/ROW]
[ROW][C]144[/C][C]2.1[/C][C]2.15812[/C][C]-0.0581219[/C][/ROW]
[ROW][C]145[/C][C]2.1[/C][C]2.09706[/C][C]0.00293769[/C][/ROW]
[ROW][C]146[/C][C]2.25[/C][C]1.96339[/C][C]0.286606[/C][/ROW]
[ROW][C]147[/C][C]2.25[/C][C]2.11787[/C][C]0.132134[/C][/ROW]
[ROW][C]148[/C][C]2.4[/C][C]2.04396[/C][C]0.356043[/C][/ROW]
[ROW][C]149[/C][C]2.1[/C][C]1.99024[/C][C]0.109756[/C][/ROW]
[ROW][C]150[/C][C]2.1[/C][C]2.0829[/C][C]0.0170982[/C][/ROW]
[ROW][C]151[/C][C]2.4[/C][C]2.1354[/C][C]0.264604[/C][/ROW]
[ROW][C]152[/C][C]2.1[/C][C]2.04787[/C][C]0.052126[/C][/ROW]
[ROW][C]153[/C][C]1.95[/C][C]1.98222[/C][C]-0.0322187[/C][/ROW]
[ROW][C]154[/C][C]2.1[/C][C]2.0611[/C][C]0.0389035[/C][/ROW]
[ROW][C]155[/C][C]2.25[/C][C]2.05248[/C][C]0.197522[/C][/ROW]
[ROW][C]156[/C][C]2.25[/C][C]2.03758[/C][C]0.212417[/C][/ROW]
[ROW][C]157[/C][C]2.4[/C][C]2.02112[/C][C]0.378885[/C][/ROW]
[ROW][C]158[/C][C]2.25[/C][C]2.15023[/C][C]0.099767[/C][/ROW]
[ROW][C]159[/C][C]2.25[/C][C]2.05079[/C][C]0.199207[/C][/ROW]
[ROW][C]160[/C][C]2.1[/C][C]2.05457[/C][C]0.0454322[/C][/ROW]
[ROW][C]161[/C][C]2.1[/C][C]2.10139[/C][C]-0.00139034[/C][/ROW]
[ROW][C]162[/C][C]2.1[/C][C]2.1945[/C][C]-0.0944996[/C][/ROW]
[ROW][C]163[/C][C]2.7[/C][C]2.18129[/C][C]0.518711[/C][/ROW]
[ROW][C]164[/C][C]2.1[/C][C]2.04394[/C][C]0.0560554[/C][/ROW]
[ROW][C]165[/C][C]2.1[/C][C]2.26505[/C][C]-0.165053[/C][/ROW]
[ROW][C]166[/C][C]2.25[/C][C]2.15014[/C][C]0.0998602[/C][/ROW]
[ROW][C]167[/C][C]2.7[/C][C]2.25607[/C][C]0.443931[/C][/ROW]
[ROW][C]168[/C][C]2.4[/C][C]2.14346[/C][C]0.256545[/C][/ROW]
[ROW][C]169[/C][C]2.1[/C][C]2.11505[/C][C]-0.0150507[/C][/ROW]
[ROW][C]170[/C][C]2.1[/C][C]1.97491[/C][C]0.125093[/C][/ROW]
[ROW][C]171[/C][C]2.4[/C][C]2.29603[/C][C]0.103967[/C][/ROW]
[ROW][C]172[/C][C]1.95[/C][C]2.10097[/C][C]-0.150972[/C][/ROW]
[ROW][C]173[/C][C]2.7[/C][C]2.23604[/C][C]0.463965[/C][/ROW]
[ROW][C]174[/C][C]2.1[/C][C]2.05867[/C][C]0.0413298[/C][/ROW]
[ROW][C]175[/C][C]2.25[/C][C]2.16951[/C][C]0.0804946[/C][/ROW]
[ROW][C]176[/C][C]2.1[/C][C]2.20139[/C][C]-0.101389[/C][/ROW]
[ROW][C]177[/C][C]2.7[/C][C]2.17528[/C][C]0.524723[/C][/ROW]
[ROW][C]178[/C][C]2.1[/C][C]2.19816[/C][C]-0.098159[/C][/ROW]
[ROW][C]179[/C][C]2.1[/C][C]2.20099[/C][C]-0.100991[/C][/ROW]
[ROW][C]180[/C][C]1.65[/C][C]2.01103[/C][C]-0.361028[/C][/ROW]
[ROW][C]181[/C][C]1.65[/C][C]2.00989[/C][C]-0.359889[/C][/ROW]
[ROW][C]182[/C][C]2.1[/C][C]2.19699[/C][C]-0.0969876[/C][/ROW]
[ROW][C]183[/C][C]2.1[/C][C]2.091[/C][C]0.00899698[/C][/ROW]
[ROW][C]184[/C][C]2.1[/C][C]2.05532[/C][C]0.0446821[/C][/ROW]
[ROW][C]185[/C][C]2.1[/C][C]2.19113[/C][C]-0.0911298[/C][/ROW]
[ROW][C]186[/C][C]2.1[/C][C]1.9774[/C][C]0.122602[/C][/ROW]
[ROW][C]187[/C][C]2.4[/C][C]2.2905[/C][C]0.109499[/C][/ROW]
[ROW][C]188[/C][C]2.4[/C][C]2.15731[/C][C]0.242688[/C][/ROW]
[ROW][C]189[/C][C]2.1[/C][C]2.11058[/C][C]-0.0105837[/C][/ROW]
[ROW][C]190[/C][C]2.25[/C][C]2.19321[/C][C]0.0567912[/C][/ROW]
[ROW][C]191[/C][C]2.4[/C][C]2.11724[/C][C]0.282764[/C][/ROW]
[ROW][C]192[/C][C]2.1[/C][C]2.20813[/C][C]-0.108127[/C][/ROW]
[ROW][C]193[/C][C]2.1[/C][C]2.10267[/C][C]-0.00266538[/C][/ROW]
[ROW][C]194[/C][C]2.4[/C][C]2.15099[/C][C]0.249011[/C][/ROW]
[ROW][C]195[/C][C]2.4[/C][C]2.05779[/C][C]0.342211[/C][/ROW]
[ROW][C]196[/C][C]2.1[/C][C]2.13485[/C][C]-0.0348521[/C][/ROW]
[ROW][C]197[/C][C]2.1[/C][C]2.1156[/C][C]-0.0156048[/C][/ROW]
[ROW][C]198[/C][C]2.4[/C][C]2.18876[/C][C]0.211238[/C][/ROW]
[ROW][C]199[/C][C]2.1[/C][C]2.09906[/C][C]0.000937338[/C][/ROW]
[ROW][C]200[/C][C]2.7[/C][C]2.15553[/C][C]0.544475[/C][/ROW]
[ROW][C]201[/C][C]2.1[/C][C]2.13577[/C][C]-0.0357739[/C][/ROW]
[ROW][C]202[/C][C]2.1[/C][C]2.17477[/C][C]-0.0747666[/C][/ROW]
[ROW][C]203[/C][C]2.25[/C][C]2.09558[/C][C]0.154425[/C][/ROW]
[ROW][C]204[/C][C]2.1[/C][C]2.16654[/C][C]-0.0665425[/C][/ROW]
[ROW][C]205[/C][C]2.4[/C][C]2.11741[/C][C]0.282592[/C][/ROW]
[ROW][C]206[/C][C]2.25[/C][C]2.17466[/C][C]0.0753424[/C][/ROW]
[ROW][C]207[/C][C]2.25[/C][C]2.13611[/C][C]0.11389[/C][/ROW]
[ROW][C]208[/C][C]2.1[/C][C]2.12063[/C][C]-0.0206293[/C][/ROW]
[ROW][C]209[/C][C]2.1[/C][C]2.02923[/C][C]0.070765[/C][/ROW]
[ROW][C]210[/C][C]2.4[/C][C]2.14525[/C][C]0.254745[/C][/ROW]
[ROW][C]211[/C][C]2.25[/C][C]1.96451[/C][C]0.285487[/C][/ROW]
[ROW][C]212[/C][C]2.1[/C][C]2.11333[/C][C]-0.0133298[/C][/ROW]
[ROW][C]213[/C][C]2.1[/C][C]2.03348[/C][C]0.0665243[/C][/ROW]
[ROW][C]214[/C][C]1.65[/C][C]2.10873[/C][C]-0.458727[/C][/ROW]
[ROW][C]215[/C][C]1.65[/C][C]2.118[/C][C]-0.467998[/C][/ROW]
[ROW][C]216[/C][C]2.7[/C][C]2.26102[/C][C]0.438979[/C][/ROW]
[ROW][C]217[/C][C]2.1[/C][C]2.21119[/C][C]-0.111193[/C][/ROW]
[ROW][C]218[/C][C]1.95[/C][C]2.13609[/C][C]-0.18609[/C][/ROW]
[ROW][C]219[/C][C]2.25[/C][C]2.00325[/C][C]0.246746[/C][/ROW]
[ROW][C]220[/C][C]2.4[/C][C]2.11363[/C][C]0.286375[/C][/ROW]
[ROW][C]221[/C][C]1.95[/C][C]2.09973[/C][C]-0.149728[/C][/ROW]
[ROW][C]222[/C][C]2.1[/C][C]2.13176[/C][C]-0.0317619[/C][/ROW]
[ROW][C]223[/C][C]2.4[/C][C]2.0337[/C][C]0.366295[/C][/ROW]
[ROW][C]224[/C][C]2.1[/C][C]2.17632[/C][C]-0.0763215[/C][/ROW]
[ROW][C]225[/C][C]2.1[/C][C]2.00303[/C][C]0.0969733[/C][/ROW]
[ROW][C]226[/C][C]2.4[/C][C]2.01818[/C][C]0.381815[/C][/ROW]
[ROW][C]227[/C][C]2.4[/C][C]2.14551[/C][C]0.254487[/C][/ROW]
[ROW][C]228[/C][C]2.4[/C][C]2.20291[/C][C]0.19709[/C][/ROW]
[ROW][C]229[/C][C]2.25[/C][C]2.03423[/C][C]0.215773[/C][/ROW]
[ROW][C]230[/C][C]2.4[/C][C]2.10754[/C][C]0.29246[/C][/ROW]
[ROW][C]231[/C][C]2.1[/C][C]1.96567[/C][C]0.134332[/C][/ROW]
[ROW][C]232[/C][C]2.1[/C][C]1.94409[/C][C]0.15591[/C][/ROW]
[ROW][C]233[/C][C]1.8[/C][C]2.07561[/C][C]-0.275615[/C][/ROW]
[ROW][C]234[/C][C]2.7[/C][C]2.10633[/C][C]0.59367[/C][/ROW]
[ROW][C]235[/C][C]2.1[/C][C]1.96851[/C][C]0.131495[/C][/ROW]
[ROW][C]236[/C][C]2.1[/C][C]2.14254[/C][C]-0.0425446[/C][/ROW]
[ROW][C]237[/C][C]2.4[/C][C]2.15855[/C][C]0.241453[/C][/ROW]
[ROW][C]238[/C][C]2.55[/C][C]2.04567[/C][C]0.504326[/C][/ROW]
[ROW][C]239[/C][C]2.55[/C][C]2.00224[/C][C]0.54776[/C][/ROW]
[ROW][C]240[/C][C]2.1[/C][C]2.18703[/C][C]-0.0870314[/C][/ROW]
[ROW][C]241[/C][C]2.1[/C][C]2.10196[/C][C]-0.0019563[/C][/ROW]
[ROW][C]242[/C][C]2.1[/C][C]1.99958[/C][C]0.100419[/C][/ROW]
[ROW][C]243[/C][C]2.25[/C][C]1.97524[/C][C]0.274765[/C][/ROW]
[ROW][C]244[/C][C]2.25[/C][C]1.97548[/C][C]0.274519[/C][/ROW]
[ROW][C]245[/C][C]2.1[/C][C]2.05972[/C][C]0.0402798[/C][/ROW]
[ROW][C]246[/C][C]2.1[/C][C]2.07406[/C][C]0.0259437[/C][/ROW]
[ROW][C]247[/C][C]1.95[/C][C]2.07124[/C][C]-0.121235[/C][/ROW]
[ROW][C]248[/C][C]2.4[/C][C]2.12149[/C][C]0.278514[/C][/ROW]
[ROW][C]249[/C][C]2.1[/C][C]2.06727[/C][C]0.0327342[/C][/ROW]
[ROW][C]250[/C][C]2.4[/C][C]2.1398[/C][C]0.260204[/C][/ROW]
[ROW][C]251[/C][C]2.4[/C][C]2.14042[/C][C]0.259583[/C][/ROW]
[ROW][C]252[/C][C]2.4[/C][C]2.29034[/C][C]0.109664[/C][/ROW]
[ROW][C]253[/C][C]2.25[/C][C]1.99774[/C][C]0.252259[/C][/ROW]
[ROW][C]254[/C][C]1.95[/C][C]2.10629[/C][C]-0.156288[/C][/ROW]
[ROW][C]255[/C][C]2.1[/C][C]2.18628[/C][C]-0.0862824[/C][/ROW]
[ROW][C]256[/C][C]2.1[/C][C]2.13416[/C][C]-0.0341555[/C][/ROW]
[ROW][C]257[/C][C]2.55[/C][C]2.0128[/C][C]0.537202[/C][/ROW]
[ROW][C]258[/C][C]2.1[/C][C]2.09461[/C][C]0.00539145[/C][/ROW]
[ROW][C]259[/C][C]2.1[/C][C]1.99008[/C][C]0.109923[/C][/ROW]
[ROW][C]260[/C][C]2.1[/C][C]1.96756[/C][C]0.132438[/C][/ROW]
[ROW][C]261[/C][C]1.95[/C][C]2.08182[/C][C]-0.131816[/C][/ROW]
[ROW][C]262[/C][C]2.25[/C][C]2.18486[/C][C]0.0651404[/C][/ROW]
[ROW][C]263[/C][C]2.4[/C][C]2.22118[/C][C]0.178823[/C][/ROW]
[ROW][C]264[/C][C]1.95[/C][C]2.02817[/C][C]-0.078173[/C][/ROW]
[ROW][C]265[/C][C]2.1[/C][C]2.22319[/C][C]-0.123194[/C][/ROW]
[ROW][C]266[/C][C]2.1[/C][C]2.10191[/C][C]-0.00190765[/C][/ROW]
[ROW][C]267[/C][C]1.95[/C][C]1.98644[/C][C]-0.0364406[/C][/ROW]
[ROW][C]268[/C][C]2.1[/C][C]2.20977[/C][C]-0.109775[/C][/ROW]
[ROW][C]269[/C][C]2.1[/C][C]2.16671[/C][C]-0.0667098[/C][/ROW]
[ROW][C]270[/C][C]1.95[/C][C]2.11066[/C][C]-0.160656[/C][/ROW]
[ROW][C]271[/C][C]2.1[/C][C]2.13427[/C][C]-0.0342706[/C][/ROW]
[ROW][C]272[/C][C]1.95[/C][C]2.16021[/C][C]-0.210209[/C][/ROW]
[ROW][C]273[/C][C]2.4[/C][C]2.14042[/C][C]0.259583[/C][/ROW]
[ROW][C]274[/C][C]2.4[/C][C]2.1648[/C][C]0.235199[/C][/ROW]
[ROW][C]275[/C][C]2.4[/C][C]2.14651[/C][C]0.253487[/C][/ROW]
[ROW][C]276[/C][C]1.95[/C][C]2.1132[/C][C]-0.163198[/C][/ROW]
[ROW][C]277[/C][C]2.7[/C][C]2.13406[/C][C]0.565935[/C][/ROW]
[ROW][C]278[/C][C]2.1[/C][C]2.14477[/C][C]-0.0447747[/C][/ROW]
[ROW][C]279[/C][C]1.95[/C][C]2.11979[/C][C]-0.169786[/C][/ROW]
[ROW][C]280[/C][C]2.1[/C][C]2.08077[/C][C]0.0192338[/C][/ROW]
[ROW][C]281[/C][C]1.95[/C][C]2.09943[/C][C]-0.149428[/C][/ROW]
[ROW][C]282[/C][C]2.1[/C][C]2.19742[/C][C]-0.097422[/C][/ROW]
[ROW][C]283[/C][C]2.25[/C][C]2.22466[/C][C]0.0253429[/C][/ROW]
[ROW][C]284[/C][C]2.7[/C][C]2.1866[/C][C]0.513395[/C][/ROW]
[ROW][C]285[/C][C]2.1[/C][C]2.02475[/C][C]0.0752464[/C][/ROW]
[ROW][C]286[/C][C]2.4[/C][C]2.18067[/C][C]0.219329[/C][/ROW]
[ROW][C]287[/C][C]1.35[/C][C]2.07357[/C][C]-0.723574[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265660&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265660&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
11.52.1349-0.634905
21.82.07442-0.274418
32.12.044420.0555766
42.12.033690.0663071
51.92.12151-0.221515
61.62.03188-0.431881
72.12.10678-0.00677535
82.12.11361-0.013613
92.22.179550.0204544
101.52.17512-0.67512
111.92.06109-0.161095
122.22.072260.127738
131.62.11881-0.518809
141.52.01165-0.511651
151.92.18422-0.284223
160.11.97028-1.87028
172.22.114930.0850687
181.82.14171-0.341708
191.62.03205-0.432054
202.22.172920.0270849
212.12.044240.0557605
221.91.98368-0.0836777
231.62.04828-0.448279
241.92.05421-0.154207
252.22.140220.0597755
261.82.09898-0.298984
272.42.152290.247709
282.42.328170.0718262
292.52.164930.335068
301.92.1047-0.204703
312.12.037130.0628713
321.92.0567-0.156695
332.12.047720.0522812
341.92.09414-0.194145
351.52.02412-0.52412
361.92.11059-0.210594
372.12.055990.044006
381.52.03432-0.534324
392.12.033730.0662727
402.12.10562-0.00561939
411.82.1039-0.303902
422.42.088860.311139
432.12.024040.0759636
441.92.06304-0.163043
452.12.093750.0062544
461.92.06014-0.160138
472.42.131020.268981
482.12.082080.0179227
492.22.095230.104774
502.22.181580.0184202
511.82.05587-0.255868
522.12.07460.0254035
532.42.143260.256742
542.22.102980.0970232
552.12.008680.0913167
561.52.11029-0.610289
571.92.0714-0.171404
581.82.02406-0.224062
591.82.10853-0.308526
601.62.05113-0.451129
611.22.0381-0.838104
621.82.17157-0.371572
631.52.15076-0.650758
642.11.983510.11649
652.42.033670.366326
662.42.131580.268419
671.52.04212-0.54212
681.82.10938-0.309382
692.12.14507-0.045065
702.22.23143-0.0314315
712.12.03010.0698979
721.92.14762-0.247623
732.12.13061-0.0306123
741.92.00945-0.109446
751.62.16215-0.562149
762.42.240570.159429
771.92.09759-0.19759
781.92.07164-0.171639
791.91.94908-0.0490847
802.12.11263-0.0126289
811.82.12345-0.323453
822.12.11235-0.0123466
832.42.123290.276714
842.12.078730.0212663
852.22.145560.0544426
862.12.11432-0.0143225
872.22.178840.0211613
881.62.09596-0.49596
892.42.178740.221265
902.12.23802-0.138022
911.92.14361-0.243614
922.42.100420.299585
932.12.12083-0.0208265
941.82.1314-0.331398
952.12.12188-0.0218841
961.82.10217-0.302173
971.92.19467-0.294668
981.92.10117-0.201166
992.42.098720.301282
1001.82.08138-0.281377
1011.82.13099-0.330995
1022.12.070920.0290796
1032.12.082560.0174389
1042.42.154580.245418
1051.92.12847-0.22847
1061.82.12627-0.32627
1071.82.10973-0.309728
1082.22.159240.0407613
1092.42.15530.2447
1101.82.14973-0.349725
1112.42.124110.275891
1121.82.11718-0.317183
1131.92.08549-0.185488
1142.42.166890.233113
1152.12.11223-0.0122319
1161.92.0798-0.179799
1172.11.961890.138111
1182.72.057260.64274
1192.12.036590.0634089
1202.12.037920.0620802
1212.12.37871-0.278707
1222.12.059130.0408665
1232.12.15142-0.0514172
1242.12.17497-0.074968
1252.12.39142-0.291425
1262.11.941220.158783
1272.42.102990.297012
1281.951.95857-0.00857496
1292.12.044140.0558552
1302.11.997890.102112
1311.952.03277-0.0827672
1322.12.15399-0.0539893
1332.42.271590.128407
1342.11.991010.108994
1352.251.981590.268408
1362.42.196910.203092
1372.252.029360.220635
1382.552.072420.477576
1391.951.99972-0.0497199
1402.42.061420.338579
1412.12.00940.0906029
1422.11.97920.120797
1432.42.129110.270886
1442.12.15812-0.0581219
1452.12.097060.00293769
1462.251.963390.286606
1472.252.117870.132134
1482.42.043960.356043
1492.11.990240.109756
1502.12.08290.0170982
1512.42.13540.264604
1522.12.047870.052126
1531.951.98222-0.0322187
1542.12.06110.0389035
1552.252.052480.197522
1562.252.037580.212417
1572.42.021120.378885
1582.252.150230.099767
1592.252.050790.199207
1602.12.054570.0454322
1612.12.10139-0.00139034
1622.12.1945-0.0944996
1632.72.181290.518711
1642.12.043940.0560554
1652.12.26505-0.165053
1662.252.150140.0998602
1672.72.256070.443931
1682.42.143460.256545
1692.12.11505-0.0150507
1702.11.974910.125093
1712.42.296030.103967
1721.952.10097-0.150972
1732.72.236040.463965
1742.12.058670.0413298
1752.252.169510.0804946
1762.12.20139-0.101389
1772.72.175280.524723
1782.12.19816-0.098159
1792.12.20099-0.100991
1801.652.01103-0.361028
1811.652.00989-0.359889
1822.12.19699-0.0969876
1832.12.0910.00899698
1842.12.055320.0446821
1852.12.19113-0.0911298
1862.11.97740.122602
1872.42.29050.109499
1882.42.157310.242688
1892.12.11058-0.0105837
1902.252.193210.0567912
1912.42.117240.282764
1922.12.20813-0.108127
1932.12.10267-0.00266538
1942.42.150990.249011
1952.42.057790.342211
1962.12.13485-0.0348521
1972.12.1156-0.0156048
1982.42.188760.211238
1992.12.099060.000937338
2002.72.155530.544475
2012.12.13577-0.0357739
2022.12.17477-0.0747666
2032.252.095580.154425
2042.12.16654-0.0665425
2052.42.117410.282592
2062.252.174660.0753424
2072.252.136110.11389
2082.12.12063-0.0206293
2092.12.029230.070765
2102.42.145250.254745
2112.251.964510.285487
2122.12.11333-0.0133298
2132.12.033480.0665243
2141.652.10873-0.458727
2151.652.118-0.467998
2162.72.261020.438979
2172.12.21119-0.111193
2181.952.13609-0.18609
2192.252.003250.246746
2202.42.113630.286375
2211.952.09973-0.149728
2222.12.13176-0.0317619
2232.42.03370.366295
2242.12.17632-0.0763215
2252.12.003030.0969733
2262.42.018180.381815
2272.42.145510.254487
2282.42.202910.19709
2292.252.034230.215773
2302.42.107540.29246
2312.11.965670.134332
2322.11.944090.15591
2331.82.07561-0.275615
2342.72.106330.59367
2352.11.968510.131495
2362.12.14254-0.0425446
2372.42.158550.241453
2382.552.045670.504326
2392.552.002240.54776
2402.12.18703-0.0870314
2412.12.10196-0.0019563
2422.11.999580.100419
2432.251.975240.274765
2442.251.975480.274519
2452.12.059720.0402798
2462.12.074060.0259437
2471.952.07124-0.121235
2482.42.121490.278514
2492.12.067270.0327342
2502.42.13980.260204
2512.42.140420.259583
2522.42.290340.109664
2532.251.997740.252259
2541.952.10629-0.156288
2552.12.18628-0.0862824
2562.12.13416-0.0341555
2572.552.01280.537202
2582.12.094610.00539145
2592.11.990080.109923
2602.11.967560.132438
2611.952.08182-0.131816
2622.252.184860.0651404
2632.42.221180.178823
2641.952.02817-0.078173
2652.12.22319-0.123194
2662.12.10191-0.00190765
2671.951.98644-0.0364406
2682.12.20977-0.109775
2692.12.16671-0.0667098
2701.952.11066-0.160656
2712.12.13427-0.0342706
2721.952.16021-0.210209
2732.42.140420.259583
2742.42.16480.235199
2752.42.146510.253487
2761.952.1132-0.163198
2772.72.134060.565935
2782.12.14477-0.0447747
2791.952.11979-0.169786
2802.12.080770.0192338
2811.952.09943-0.149428
2822.12.19742-0.097422
2832.252.224660.0253429
2842.72.18660.513395
2852.12.024750.0752464
2862.42.180670.219329
2871.352.07357-0.723574






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.4565530.9131070.543447
100.8780530.2438950.121947
110.8422220.3155560.157778
120.8357480.3285050.164252
130.8145510.3708980.185449
140.8349570.3300850.165043
150.7717510.4564990.228249
160.9999843.26747e-051.63373e-05
170.9999657.06033e-053.53017e-05
180.9999440.0001122345.6117e-05
190.9999160.0001682328.41158e-05
200.9998830.000233030.000116515
210.9999656.9033e-053.45165e-05
220.9999656.96142e-053.48071e-05
230.9999588.4441e-054.22205e-05
240.9999280.0001441937.20963e-05
250.9998980.0002045810.000102291
260.9998450.0003098070.000154904
270.9998880.0002230680.000111534
280.9998240.0003518260.000175913
290.9998980.0002045340.000102267
300.999840.0003198050.000159903
310.9998830.0002347640.000117382
320.9998260.0003473340.000173667
330.9998270.0003461610.00017308
340.999740.0005204270.000260213
350.9997420.0005161380.000258069
360.9996350.000730590.000365295
370.9996560.000688340.00034417
380.9997110.0005778120.000288906
390.999770.0004602020.000230101
400.9996430.0007146070.000357303
410.9995520.0008957020.000447851
420.9998250.0003505120.000175256
430.9998070.0003859420.000192971
440.9997380.0005240960.000262048
450.999640.0007196950.000359847
460.9995060.0009872880.000493644
470.9993760.0012480.000623999
480.999320.001360750.000680375
490.9991420.001715550.000857775
500.9987640.002472320.00123616
510.9984740.003052110.00152606
520.9978520.004295240.00214762
530.9975090.004981470.00249074
540.996610.006779130.00338957
550.9962850.007430380.00371519
560.9989660.002067050.00103353
570.9986630.002674690.00133734
580.9983760.003247960.00162398
590.9984850.003030710.00151535
600.9987630.002473790.00123689
610.9998840.0002327530.000116377
620.9999140.0001719758.59876e-05
630.9999882.4229e-051.21145e-05
640.9999921.53095e-057.65477e-06
650.9999984.73236e-062.36618e-06
660.9999984.14581e-062.0729e-06
670.9999991.68986e-068.44931e-07
680.9999991.75974e-068.79868e-07
690.9999992.42341e-061.21171e-06
700.9999983.63777e-061.81889e-06
710.9999983.96125e-061.98063e-06
720.9999975.01672e-062.50836e-06
730.9999967.04256e-063.52128e-06
740.9999959.34321e-064.6716e-06
750.9999983.35105e-061.67553e-06
760.9999984.437e-062.2185e-06
770.9999984.9344e-062.4672e-06
780.9999975.67601e-062.838e-06
790.9999976.81852e-063.40926e-06
800.9999959.23012e-064.61506e-06
810.9999968.79337e-064.39669e-06
820.9999941.18456e-055.92281e-06
830.9999968.36507e-064.18254e-06
840.9999951.06931e-055.34653e-06
850.9999931.48094e-057.40472e-06
860.999992.08954e-051.04477e-05
870.9999853.02425e-051.51212e-05
880.9999921.55444e-057.77222e-06
890.9999921.64337e-058.21684e-06
900.9999892.17644e-051.08822e-05
910.9999882.42972e-051.21486e-05
920.9999911.77474e-058.87369e-06
930.9999872.54959e-051.2748e-05
940.9999882.30772e-051.15386e-05
950.9999833.31412e-051.65706e-05
960.9999833.35719e-051.6786e-05
970.9999833.47529e-051.73764e-05
980.9999784.36617e-052.18308e-05
990.9999853.0161e-051.50805e-05
1000.9999843.12917e-051.56458e-05
1010.9999862.70877e-051.35439e-05
1020.9999813.75418e-051.87709e-05
1030.9999745.20837e-052.60419e-05
1040.9999735.4949e-052.74745e-05
1050.9999696.12485e-053.06242e-05
1060.9999755.05543e-052.52771e-05
1070.9999774.60925e-052.30463e-05
1080.9999686.37104e-053.18552e-05
1090.9999715.80857e-052.90429e-05
1100.9999794.29523e-052.14761e-05
1110.9999823.58488e-051.79244e-05
1120.9999852.92452e-051.46226e-05
1130.9999833.47659e-051.7383e-05
1140.9999833.36007e-051.68003e-05
1150.9999774.62992e-052.31496e-05
1160.9999725.53415e-052.76707e-05
1170.999975.94607e-052.97303e-05
1180.9999976.31947e-063.15974e-06
1190.9999968.03114e-064.01557e-06
1200.9999959.87854e-064.93927e-06
1210.9999968.19463e-064.09732e-06
1220.9999941.17736e-055.88681e-06
1230.9999921.62701e-058.13507e-06
1240.999992.03379e-051.01689e-05
1250.9999951.06832e-055.34159e-06
1260.9999941.19761e-055.98803e-06
1270.9999951.08006e-055.40032e-06
1280.9999931.30669e-056.53346e-06
1290.9999911.75787e-058.78936e-06
1300.9999892.22537e-051.11269e-05
1310.9999862.78003e-051.39001e-05
1320.9999862.70087e-051.35044e-05
1330.9999823.50804e-051.75402e-05
1340.9999774.5973e-052.29865e-05
1350.9999784.36556e-052.18278e-05
1360.9999745.14334e-052.57167e-05
1370.9999725.6545e-052.82725e-05
1380.9999843.14019e-051.57009e-05
1390.9999794.2599e-052.12995e-05
1400.9999823.62042e-051.81021e-05
1410.9999754.90867e-052.45434e-05
1420.9999696.18974e-053.09487e-05
1430.9999686.4782e-053.2391e-05
1440.9999598.26664e-054.13332e-05
1450.9999410.000117025.851e-05
1460.999940.0001193585.96788e-05
1470.9999260.0001487957.43976e-05
1480.9999380.0001236086.18041e-05
1490.9999160.000168128.40599e-05
1500.9998920.0002157050.000107852
1510.9998880.000224670.000112335
1520.9998430.0003130810.00015654
1530.9997880.0004238660.000211933
1540.9997140.0005715510.000285776
1550.999660.0006805290.000340265
1560.9995910.000817930.000408965
1570.9996640.0006714720.000335736
1580.9995520.000895770.000447885
1590.9994520.001096890.000548443
1600.9992630.001474180.000737092
1610.9990090.001981410.000990705
1620.9986950.002609780.00130489
1630.999260.001479240.000739619
1640.9990480.001904780.000952388
1650.9988830.002234960.00111748
1660.9985810.002838580.00141929
1670.9991720.001656410.000828204
1680.9991730.001653830.000826913
1690.9989210.0021570.0010785
1700.9986450.002709380.00135469
1710.9982210.003558820.00177941
1720.9981420.003716640.00185832
1730.9988970.002205560.00110278
1740.9985450.002910870.00145543
1750.9980940.003811610.00190581
1760.9976280.00474380.0023719
1770.9988080.002383690.00119185
1780.9985010.002998040.00149902
1790.9982430.00351330.00175665
1800.9988640.002272990.0011365
1810.9993360.001328080.000664041
1820.999180.00164040.000820201
1830.9989110.002178050.00108902
1840.9985610.002878970.00143949
1850.998180.003640650.00182032
1860.997650.004700590.0023503
1870.9969660.006067890.00303394
1880.9967950.006409150.00320458
1890.9961310.00773860.0038693
1900.9949810.0100390.00501949
1910.9953480.009303140.00465157
1920.9943180.0113650.00568248
1930.9926670.01466610.00733303
1940.9921690.01566260.00783132
1950.9926510.01469710.00734853
1960.990680.01863920.00931959
1970.9880160.02396890.0119845
1980.9865120.0269760.013488
1990.9828930.0342150.0171075
2000.9922440.01551160.00775582
2010.9899230.02015410.0100771
2020.9873230.02535380.0126769
2030.9843390.03132120.0156606
2040.9803650.03927030.0196352
2050.980050.03990020.0199501
2060.9750450.04990970.0249549
2070.9693060.06138880.0306944
2080.9621270.0757460.037873
2090.954010.09198050.0459902
2100.9529940.0940110.0470055
2110.9475110.1049780.052489
2120.9364950.127010.0635048
2130.9268320.1463370.0731683
2140.9431110.1137780.0568891
2150.9682870.06342560.0317128
2160.9793710.04125820.0206291
2170.9758350.04832980.0241649
2180.9736980.05260480.0263024
2190.9697080.06058370.0302919
2200.9656850.06862950.0343148
2210.9621450.07570960.0378548
2220.9561390.08772230.0438611
2230.9566150.08676910.0433846
2240.9471980.1056040.0528018
2250.9347140.1305720.0652858
2260.9359170.1281670.0640834
2270.9308740.1382510.0691255
2280.92180.15640.0782001
2290.9070.1860.093
2300.9040140.1919720.0959858
2310.8844820.2310350.115518
2320.8628390.2743220.137161
2330.8900650.2198710.109935
2340.9578640.0842720.042136
2350.9472290.1055410.0527706
2360.9371580.1256830.0628416
2370.9249260.1501490.0750744
2380.9491920.1016160.050808
2390.9659510.06809880.0340494
2400.9612890.07742250.0387113
2410.9519270.09614540.0480727
2420.9386410.1227170.0613586
2430.9349910.1300190.0650093
2440.9347820.1304360.0652181
2450.9167210.1665580.0832788
2460.911190.1776210.0888105
2470.8901450.219710.109855
2480.8931230.2137540.106877
2490.8692890.2614220.130711
2500.8524960.2950080.147504
2510.8481920.3036160.151808
2520.8183140.3633730.181686
2530.8288370.3423270.171163
2540.8048180.3903630.195182
2550.7687210.4625580.231279
2560.7266860.5466270.273314
2570.8435570.3128860.156443
2580.8017270.3965460.198273
2590.8109970.3780050.189003
2600.8432730.3134540.156727
2610.8059290.3881420.194071
2620.7542520.4914960.245748
2630.6993210.6013580.300679
2640.6442740.7114520.355726
2650.6544930.6910130.345507
2660.6052320.7895360.394768
2670.6180930.7638150.381907
2680.6624720.6750560.337528
2690.5830390.8339230.416961
2700.5149190.9701610.485081
2710.4248650.8497290.575135
2720.6938360.6123290.306164
2730.6017310.7965380.398269
2740.5060880.9878240.493912
2750.8438550.3122890.156145
2760.8106740.3786520.189326
2770.7435870.5128260.256413
2780.5840040.8319930.415996

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.456553 & 0.913107 & 0.543447 \tabularnewline
10 & 0.878053 & 0.243895 & 0.121947 \tabularnewline
11 & 0.842222 & 0.315556 & 0.157778 \tabularnewline
12 & 0.835748 & 0.328505 & 0.164252 \tabularnewline
13 & 0.814551 & 0.370898 & 0.185449 \tabularnewline
14 & 0.834957 & 0.330085 & 0.165043 \tabularnewline
15 & 0.771751 & 0.456499 & 0.228249 \tabularnewline
16 & 0.999984 & 3.26747e-05 & 1.63373e-05 \tabularnewline
17 & 0.999965 & 7.06033e-05 & 3.53017e-05 \tabularnewline
18 & 0.999944 & 0.000112234 & 5.6117e-05 \tabularnewline
19 & 0.999916 & 0.000168232 & 8.41158e-05 \tabularnewline
20 & 0.999883 & 0.00023303 & 0.000116515 \tabularnewline
21 & 0.999965 & 6.9033e-05 & 3.45165e-05 \tabularnewline
22 & 0.999965 & 6.96142e-05 & 3.48071e-05 \tabularnewline
23 & 0.999958 & 8.4441e-05 & 4.22205e-05 \tabularnewline
24 & 0.999928 & 0.000144193 & 7.20963e-05 \tabularnewline
25 & 0.999898 & 0.000204581 & 0.000102291 \tabularnewline
26 & 0.999845 & 0.000309807 & 0.000154904 \tabularnewline
27 & 0.999888 & 0.000223068 & 0.000111534 \tabularnewline
28 & 0.999824 & 0.000351826 & 0.000175913 \tabularnewline
29 & 0.999898 & 0.000204534 & 0.000102267 \tabularnewline
30 & 0.99984 & 0.000319805 & 0.000159903 \tabularnewline
31 & 0.999883 & 0.000234764 & 0.000117382 \tabularnewline
32 & 0.999826 & 0.000347334 & 0.000173667 \tabularnewline
33 & 0.999827 & 0.000346161 & 0.00017308 \tabularnewline
34 & 0.99974 & 0.000520427 & 0.000260213 \tabularnewline
35 & 0.999742 & 0.000516138 & 0.000258069 \tabularnewline
36 & 0.999635 & 0.00073059 & 0.000365295 \tabularnewline
37 & 0.999656 & 0.00068834 & 0.00034417 \tabularnewline
38 & 0.999711 & 0.000577812 & 0.000288906 \tabularnewline
39 & 0.99977 & 0.000460202 & 0.000230101 \tabularnewline
40 & 0.999643 & 0.000714607 & 0.000357303 \tabularnewline
41 & 0.999552 & 0.000895702 & 0.000447851 \tabularnewline
42 & 0.999825 & 0.000350512 & 0.000175256 \tabularnewline
43 & 0.999807 & 0.000385942 & 0.000192971 \tabularnewline
44 & 0.999738 & 0.000524096 & 0.000262048 \tabularnewline
45 & 0.99964 & 0.000719695 & 0.000359847 \tabularnewline
46 & 0.999506 & 0.000987288 & 0.000493644 \tabularnewline
47 & 0.999376 & 0.001248 & 0.000623999 \tabularnewline
48 & 0.99932 & 0.00136075 & 0.000680375 \tabularnewline
49 & 0.999142 & 0.00171555 & 0.000857775 \tabularnewline
50 & 0.998764 & 0.00247232 & 0.00123616 \tabularnewline
51 & 0.998474 & 0.00305211 & 0.00152606 \tabularnewline
52 & 0.997852 & 0.00429524 & 0.00214762 \tabularnewline
53 & 0.997509 & 0.00498147 & 0.00249074 \tabularnewline
54 & 0.99661 & 0.00677913 & 0.00338957 \tabularnewline
55 & 0.996285 & 0.00743038 & 0.00371519 \tabularnewline
56 & 0.998966 & 0.00206705 & 0.00103353 \tabularnewline
57 & 0.998663 & 0.00267469 & 0.00133734 \tabularnewline
58 & 0.998376 & 0.00324796 & 0.00162398 \tabularnewline
59 & 0.998485 & 0.00303071 & 0.00151535 \tabularnewline
60 & 0.998763 & 0.00247379 & 0.00123689 \tabularnewline
61 & 0.999884 & 0.000232753 & 0.000116377 \tabularnewline
62 & 0.999914 & 0.000171975 & 8.59876e-05 \tabularnewline
63 & 0.999988 & 2.4229e-05 & 1.21145e-05 \tabularnewline
64 & 0.999992 & 1.53095e-05 & 7.65477e-06 \tabularnewline
65 & 0.999998 & 4.73236e-06 & 2.36618e-06 \tabularnewline
66 & 0.999998 & 4.14581e-06 & 2.0729e-06 \tabularnewline
67 & 0.999999 & 1.68986e-06 & 8.44931e-07 \tabularnewline
68 & 0.999999 & 1.75974e-06 & 8.79868e-07 \tabularnewline
69 & 0.999999 & 2.42341e-06 & 1.21171e-06 \tabularnewline
70 & 0.999998 & 3.63777e-06 & 1.81889e-06 \tabularnewline
71 & 0.999998 & 3.96125e-06 & 1.98063e-06 \tabularnewline
72 & 0.999997 & 5.01672e-06 & 2.50836e-06 \tabularnewline
73 & 0.999996 & 7.04256e-06 & 3.52128e-06 \tabularnewline
74 & 0.999995 & 9.34321e-06 & 4.6716e-06 \tabularnewline
75 & 0.999998 & 3.35105e-06 & 1.67553e-06 \tabularnewline
76 & 0.999998 & 4.437e-06 & 2.2185e-06 \tabularnewline
77 & 0.999998 & 4.9344e-06 & 2.4672e-06 \tabularnewline
78 & 0.999997 & 5.67601e-06 & 2.838e-06 \tabularnewline
79 & 0.999997 & 6.81852e-06 & 3.40926e-06 \tabularnewline
80 & 0.999995 & 9.23012e-06 & 4.61506e-06 \tabularnewline
81 & 0.999996 & 8.79337e-06 & 4.39669e-06 \tabularnewline
82 & 0.999994 & 1.18456e-05 & 5.92281e-06 \tabularnewline
83 & 0.999996 & 8.36507e-06 & 4.18254e-06 \tabularnewline
84 & 0.999995 & 1.06931e-05 & 5.34653e-06 \tabularnewline
85 & 0.999993 & 1.48094e-05 & 7.40472e-06 \tabularnewline
86 & 0.99999 & 2.08954e-05 & 1.04477e-05 \tabularnewline
87 & 0.999985 & 3.02425e-05 & 1.51212e-05 \tabularnewline
88 & 0.999992 & 1.55444e-05 & 7.77222e-06 \tabularnewline
89 & 0.999992 & 1.64337e-05 & 8.21684e-06 \tabularnewline
90 & 0.999989 & 2.17644e-05 & 1.08822e-05 \tabularnewline
91 & 0.999988 & 2.42972e-05 & 1.21486e-05 \tabularnewline
92 & 0.999991 & 1.77474e-05 & 8.87369e-06 \tabularnewline
93 & 0.999987 & 2.54959e-05 & 1.2748e-05 \tabularnewline
94 & 0.999988 & 2.30772e-05 & 1.15386e-05 \tabularnewline
95 & 0.999983 & 3.31412e-05 & 1.65706e-05 \tabularnewline
96 & 0.999983 & 3.35719e-05 & 1.6786e-05 \tabularnewline
97 & 0.999983 & 3.47529e-05 & 1.73764e-05 \tabularnewline
98 & 0.999978 & 4.36617e-05 & 2.18308e-05 \tabularnewline
99 & 0.999985 & 3.0161e-05 & 1.50805e-05 \tabularnewline
100 & 0.999984 & 3.12917e-05 & 1.56458e-05 \tabularnewline
101 & 0.999986 & 2.70877e-05 & 1.35439e-05 \tabularnewline
102 & 0.999981 & 3.75418e-05 & 1.87709e-05 \tabularnewline
103 & 0.999974 & 5.20837e-05 & 2.60419e-05 \tabularnewline
104 & 0.999973 & 5.4949e-05 & 2.74745e-05 \tabularnewline
105 & 0.999969 & 6.12485e-05 & 3.06242e-05 \tabularnewline
106 & 0.999975 & 5.05543e-05 & 2.52771e-05 \tabularnewline
107 & 0.999977 & 4.60925e-05 & 2.30463e-05 \tabularnewline
108 & 0.999968 & 6.37104e-05 & 3.18552e-05 \tabularnewline
109 & 0.999971 & 5.80857e-05 & 2.90429e-05 \tabularnewline
110 & 0.999979 & 4.29523e-05 & 2.14761e-05 \tabularnewline
111 & 0.999982 & 3.58488e-05 & 1.79244e-05 \tabularnewline
112 & 0.999985 & 2.92452e-05 & 1.46226e-05 \tabularnewline
113 & 0.999983 & 3.47659e-05 & 1.7383e-05 \tabularnewline
114 & 0.999983 & 3.36007e-05 & 1.68003e-05 \tabularnewline
115 & 0.999977 & 4.62992e-05 & 2.31496e-05 \tabularnewline
116 & 0.999972 & 5.53415e-05 & 2.76707e-05 \tabularnewline
117 & 0.99997 & 5.94607e-05 & 2.97303e-05 \tabularnewline
118 & 0.999997 & 6.31947e-06 & 3.15974e-06 \tabularnewline
119 & 0.999996 & 8.03114e-06 & 4.01557e-06 \tabularnewline
120 & 0.999995 & 9.87854e-06 & 4.93927e-06 \tabularnewline
121 & 0.999996 & 8.19463e-06 & 4.09732e-06 \tabularnewline
122 & 0.999994 & 1.17736e-05 & 5.88681e-06 \tabularnewline
123 & 0.999992 & 1.62701e-05 & 8.13507e-06 \tabularnewline
124 & 0.99999 & 2.03379e-05 & 1.01689e-05 \tabularnewline
125 & 0.999995 & 1.06832e-05 & 5.34159e-06 \tabularnewline
126 & 0.999994 & 1.19761e-05 & 5.98803e-06 \tabularnewline
127 & 0.999995 & 1.08006e-05 & 5.40032e-06 \tabularnewline
128 & 0.999993 & 1.30669e-05 & 6.53346e-06 \tabularnewline
129 & 0.999991 & 1.75787e-05 & 8.78936e-06 \tabularnewline
130 & 0.999989 & 2.22537e-05 & 1.11269e-05 \tabularnewline
131 & 0.999986 & 2.78003e-05 & 1.39001e-05 \tabularnewline
132 & 0.999986 & 2.70087e-05 & 1.35044e-05 \tabularnewline
133 & 0.999982 & 3.50804e-05 & 1.75402e-05 \tabularnewline
134 & 0.999977 & 4.5973e-05 & 2.29865e-05 \tabularnewline
135 & 0.999978 & 4.36556e-05 & 2.18278e-05 \tabularnewline
136 & 0.999974 & 5.14334e-05 & 2.57167e-05 \tabularnewline
137 & 0.999972 & 5.6545e-05 & 2.82725e-05 \tabularnewline
138 & 0.999984 & 3.14019e-05 & 1.57009e-05 \tabularnewline
139 & 0.999979 & 4.2599e-05 & 2.12995e-05 \tabularnewline
140 & 0.999982 & 3.62042e-05 & 1.81021e-05 \tabularnewline
141 & 0.999975 & 4.90867e-05 & 2.45434e-05 \tabularnewline
142 & 0.999969 & 6.18974e-05 & 3.09487e-05 \tabularnewline
143 & 0.999968 & 6.4782e-05 & 3.2391e-05 \tabularnewline
144 & 0.999959 & 8.26664e-05 & 4.13332e-05 \tabularnewline
145 & 0.999941 & 0.00011702 & 5.851e-05 \tabularnewline
146 & 0.99994 & 0.000119358 & 5.96788e-05 \tabularnewline
147 & 0.999926 & 0.000148795 & 7.43976e-05 \tabularnewline
148 & 0.999938 & 0.000123608 & 6.18041e-05 \tabularnewline
149 & 0.999916 & 0.00016812 & 8.40599e-05 \tabularnewline
150 & 0.999892 & 0.000215705 & 0.000107852 \tabularnewline
151 & 0.999888 & 0.00022467 & 0.000112335 \tabularnewline
152 & 0.999843 & 0.000313081 & 0.00015654 \tabularnewline
153 & 0.999788 & 0.000423866 & 0.000211933 \tabularnewline
154 & 0.999714 & 0.000571551 & 0.000285776 \tabularnewline
155 & 0.99966 & 0.000680529 & 0.000340265 \tabularnewline
156 & 0.999591 & 0.00081793 & 0.000408965 \tabularnewline
157 & 0.999664 & 0.000671472 & 0.000335736 \tabularnewline
158 & 0.999552 & 0.00089577 & 0.000447885 \tabularnewline
159 & 0.999452 & 0.00109689 & 0.000548443 \tabularnewline
160 & 0.999263 & 0.00147418 & 0.000737092 \tabularnewline
161 & 0.999009 & 0.00198141 & 0.000990705 \tabularnewline
162 & 0.998695 & 0.00260978 & 0.00130489 \tabularnewline
163 & 0.99926 & 0.00147924 & 0.000739619 \tabularnewline
164 & 0.999048 & 0.00190478 & 0.000952388 \tabularnewline
165 & 0.998883 & 0.00223496 & 0.00111748 \tabularnewline
166 & 0.998581 & 0.00283858 & 0.00141929 \tabularnewline
167 & 0.999172 & 0.00165641 & 0.000828204 \tabularnewline
168 & 0.999173 & 0.00165383 & 0.000826913 \tabularnewline
169 & 0.998921 & 0.002157 & 0.0010785 \tabularnewline
170 & 0.998645 & 0.00270938 & 0.00135469 \tabularnewline
171 & 0.998221 & 0.00355882 & 0.00177941 \tabularnewline
172 & 0.998142 & 0.00371664 & 0.00185832 \tabularnewline
173 & 0.998897 & 0.00220556 & 0.00110278 \tabularnewline
174 & 0.998545 & 0.00291087 & 0.00145543 \tabularnewline
175 & 0.998094 & 0.00381161 & 0.00190581 \tabularnewline
176 & 0.997628 & 0.0047438 & 0.0023719 \tabularnewline
177 & 0.998808 & 0.00238369 & 0.00119185 \tabularnewline
178 & 0.998501 & 0.00299804 & 0.00149902 \tabularnewline
179 & 0.998243 & 0.0035133 & 0.00175665 \tabularnewline
180 & 0.998864 & 0.00227299 & 0.0011365 \tabularnewline
181 & 0.999336 & 0.00132808 & 0.000664041 \tabularnewline
182 & 0.99918 & 0.0016404 & 0.000820201 \tabularnewline
183 & 0.998911 & 0.00217805 & 0.00108902 \tabularnewline
184 & 0.998561 & 0.00287897 & 0.00143949 \tabularnewline
185 & 0.99818 & 0.00364065 & 0.00182032 \tabularnewline
186 & 0.99765 & 0.00470059 & 0.0023503 \tabularnewline
187 & 0.996966 & 0.00606789 & 0.00303394 \tabularnewline
188 & 0.996795 & 0.00640915 & 0.00320458 \tabularnewline
189 & 0.996131 & 0.0077386 & 0.0038693 \tabularnewline
190 & 0.994981 & 0.010039 & 0.00501949 \tabularnewline
191 & 0.995348 & 0.00930314 & 0.00465157 \tabularnewline
192 & 0.994318 & 0.011365 & 0.00568248 \tabularnewline
193 & 0.992667 & 0.0146661 & 0.00733303 \tabularnewline
194 & 0.992169 & 0.0156626 & 0.00783132 \tabularnewline
195 & 0.992651 & 0.0146971 & 0.00734853 \tabularnewline
196 & 0.99068 & 0.0186392 & 0.00931959 \tabularnewline
197 & 0.988016 & 0.0239689 & 0.0119845 \tabularnewline
198 & 0.986512 & 0.026976 & 0.013488 \tabularnewline
199 & 0.982893 & 0.034215 & 0.0171075 \tabularnewline
200 & 0.992244 & 0.0155116 & 0.00775582 \tabularnewline
201 & 0.989923 & 0.0201541 & 0.0100771 \tabularnewline
202 & 0.987323 & 0.0253538 & 0.0126769 \tabularnewline
203 & 0.984339 & 0.0313212 & 0.0156606 \tabularnewline
204 & 0.980365 & 0.0392703 & 0.0196352 \tabularnewline
205 & 0.98005 & 0.0399002 & 0.0199501 \tabularnewline
206 & 0.975045 & 0.0499097 & 0.0249549 \tabularnewline
207 & 0.969306 & 0.0613888 & 0.0306944 \tabularnewline
208 & 0.962127 & 0.075746 & 0.037873 \tabularnewline
209 & 0.95401 & 0.0919805 & 0.0459902 \tabularnewline
210 & 0.952994 & 0.094011 & 0.0470055 \tabularnewline
211 & 0.947511 & 0.104978 & 0.052489 \tabularnewline
212 & 0.936495 & 0.12701 & 0.0635048 \tabularnewline
213 & 0.926832 & 0.146337 & 0.0731683 \tabularnewline
214 & 0.943111 & 0.113778 & 0.0568891 \tabularnewline
215 & 0.968287 & 0.0634256 & 0.0317128 \tabularnewline
216 & 0.979371 & 0.0412582 & 0.0206291 \tabularnewline
217 & 0.975835 & 0.0483298 & 0.0241649 \tabularnewline
218 & 0.973698 & 0.0526048 & 0.0263024 \tabularnewline
219 & 0.969708 & 0.0605837 & 0.0302919 \tabularnewline
220 & 0.965685 & 0.0686295 & 0.0343148 \tabularnewline
221 & 0.962145 & 0.0757096 & 0.0378548 \tabularnewline
222 & 0.956139 & 0.0877223 & 0.0438611 \tabularnewline
223 & 0.956615 & 0.0867691 & 0.0433846 \tabularnewline
224 & 0.947198 & 0.105604 & 0.0528018 \tabularnewline
225 & 0.934714 & 0.130572 & 0.0652858 \tabularnewline
226 & 0.935917 & 0.128167 & 0.0640834 \tabularnewline
227 & 0.930874 & 0.138251 & 0.0691255 \tabularnewline
228 & 0.9218 & 0.1564 & 0.0782001 \tabularnewline
229 & 0.907 & 0.186 & 0.093 \tabularnewline
230 & 0.904014 & 0.191972 & 0.0959858 \tabularnewline
231 & 0.884482 & 0.231035 & 0.115518 \tabularnewline
232 & 0.862839 & 0.274322 & 0.137161 \tabularnewline
233 & 0.890065 & 0.219871 & 0.109935 \tabularnewline
234 & 0.957864 & 0.084272 & 0.042136 \tabularnewline
235 & 0.947229 & 0.105541 & 0.0527706 \tabularnewline
236 & 0.937158 & 0.125683 & 0.0628416 \tabularnewline
237 & 0.924926 & 0.150149 & 0.0750744 \tabularnewline
238 & 0.949192 & 0.101616 & 0.050808 \tabularnewline
239 & 0.965951 & 0.0680988 & 0.0340494 \tabularnewline
240 & 0.961289 & 0.0774225 & 0.0387113 \tabularnewline
241 & 0.951927 & 0.0961454 & 0.0480727 \tabularnewline
242 & 0.938641 & 0.122717 & 0.0613586 \tabularnewline
243 & 0.934991 & 0.130019 & 0.0650093 \tabularnewline
244 & 0.934782 & 0.130436 & 0.0652181 \tabularnewline
245 & 0.916721 & 0.166558 & 0.0832788 \tabularnewline
246 & 0.91119 & 0.177621 & 0.0888105 \tabularnewline
247 & 0.890145 & 0.21971 & 0.109855 \tabularnewline
248 & 0.893123 & 0.213754 & 0.106877 \tabularnewline
249 & 0.869289 & 0.261422 & 0.130711 \tabularnewline
250 & 0.852496 & 0.295008 & 0.147504 \tabularnewline
251 & 0.848192 & 0.303616 & 0.151808 \tabularnewline
252 & 0.818314 & 0.363373 & 0.181686 \tabularnewline
253 & 0.828837 & 0.342327 & 0.171163 \tabularnewline
254 & 0.804818 & 0.390363 & 0.195182 \tabularnewline
255 & 0.768721 & 0.462558 & 0.231279 \tabularnewline
256 & 0.726686 & 0.546627 & 0.273314 \tabularnewline
257 & 0.843557 & 0.312886 & 0.156443 \tabularnewline
258 & 0.801727 & 0.396546 & 0.198273 \tabularnewline
259 & 0.810997 & 0.378005 & 0.189003 \tabularnewline
260 & 0.843273 & 0.313454 & 0.156727 \tabularnewline
261 & 0.805929 & 0.388142 & 0.194071 \tabularnewline
262 & 0.754252 & 0.491496 & 0.245748 \tabularnewline
263 & 0.699321 & 0.601358 & 0.300679 \tabularnewline
264 & 0.644274 & 0.711452 & 0.355726 \tabularnewline
265 & 0.654493 & 0.691013 & 0.345507 \tabularnewline
266 & 0.605232 & 0.789536 & 0.394768 \tabularnewline
267 & 0.618093 & 0.763815 & 0.381907 \tabularnewline
268 & 0.662472 & 0.675056 & 0.337528 \tabularnewline
269 & 0.583039 & 0.833923 & 0.416961 \tabularnewline
270 & 0.514919 & 0.970161 & 0.485081 \tabularnewline
271 & 0.424865 & 0.849729 & 0.575135 \tabularnewline
272 & 0.693836 & 0.612329 & 0.306164 \tabularnewline
273 & 0.601731 & 0.796538 & 0.398269 \tabularnewline
274 & 0.506088 & 0.987824 & 0.493912 \tabularnewline
275 & 0.843855 & 0.312289 & 0.156145 \tabularnewline
276 & 0.810674 & 0.378652 & 0.189326 \tabularnewline
277 & 0.743587 & 0.512826 & 0.256413 \tabularnewline
278 & 0.584004 & 0.831993 & 0.415996 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265660&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]9[/C][C]0.456553[/C][C]0.913107[/C][C]0.543447[/C][/ROW]
[ROW][C]10[/C][C]0.878053[/C][C]0.243895[/C][C]0.121947[/C][/ROW]
[ROW][C]11[/C][C]0.842222[/C][C]0.315556[/C][C]0.157778[/C][/ROW]
[ROW][C]12[/C][C]0.835748[/C][C]0.328505[/C][C]0.164252[/C][/ROW]
[ROW][C]13[/C][C]0.814551[/C][C]0.370898[/C][C]0.185449[/C][/ROW]
[ROW][C]14[/C][C]0.834957[/C][C]0.330085[/C][C]0.165043[/C][/ROW]
[ROW][C]15[/C][C]0.771751[/C][C]0.456499[/C][C]0.228249[/C][/ROW]
[ROW][C]16[/C][C]0.999984[/C][C]3.26747e-05[/C][C]1.63373e-05[/C][/ROW]
[ROW][C]17[/C][C]0.999965[/C][C]7.06033e-05[/C][C]3.53017e-05[/C][/ROW]
[ROW][C]18[/C][C]0.999944[/C][C]0.000112234[/C][C]5.6117e-05[/C][/ROW]
[ROW][C]19[/C][C]0.999916[/C][C]0.000168232[/C][C]8.41158e-05[/C][/ROW]
[ROW][C]20[/C][C]0.999883[/C][C]0.00023303[/C][C]0.000116515[/C][/ROW]
[ROW][C]21[/C][C]0.999965[/C][C]6.9033e-05[/C][C]3.45165e-05[/C][/ROW]
[ROW][C]22[/C][C]0.999965[/C][C]6.96142e-05[/C][C]3.48071e-05[/C][/ROW]
[ROW][C]23[/C][C]0.999958[/C][C]8.4441e-05[/C][C]4.22205e-05[/C][/ROW]
[ROW][C]24[/C][C]0.999928[/C][C]0.000144193[/C][C]7.20963e-05[/C][/ROW]
[ROW][C]25[/C][C]0.999898[/C][C]0.000204581[/C][C]0.000102291[/C][/ROW]
[ROW][C]26[/C][C]0.999845[/C][C]0.000309807[/C][C]0.000154904[/C][/ROW]
[ROW][C]27[/C][C]0.999888[/C][C]0.000223068[/C][C]0.000111534[/C][/ROW]
[ROW][C]28[/C][C]0.999824[/C][C]0.000351826[/C][C]0.000175913[/C][/ROW]
[ROW][C]29[/C][C]0.999898[/C][C]0.000204534[/C][C]0.000102267[/C][/ROW]
[ROW][C]30[/C][C]0.99984[/C][C]0.000319805[/C][C]0.000159903[/C][/ROW]
[ROW][C]31[/C][C]0.999883[/C][C]0.000234764[/C][C]0.000117382[/C][/ROW]
[ROW][C]32[/C][C]0.999826[/C][C]0.000347334[/C][C]0.000173667[/C][/ROW]
[ROW][C]33[/C][C]0.999827[/C][C]0.000346161[/C][C]0.00017308[/C][/ROW]
[ROW][C]34[/C][C]0.99974[/C][C]0.000520427[/C][C]0.000260213[/C][/ROW]
[ROW][C]35[/C][C]0.999742[/C][C]0.000516138[/C][C]0.000258069[/C][/ROW]
[ROW][C]36[/C][C]0.999635[/C][C]0.00073059[/C][C]0.000365295[/C][/ROW]
[ROW][C]37[/C][C]0.999656[/C][C]0.00068834[/C][C]0.00034417[/C][/ROW]
[ROW][C]38[/C][C]0.999711[/C][C]0.000577812[/C][C]0.000288906[/C][/ROW]
[ROW][C]39[/C][C]0.99977[/C][C]0.000460202[/C][C]0.000230101[/C][/ROW]
[ROW][C]40[/C][C]0.999643[/C][C]0.000714607[/C][C]0.000357303[/C][/ROW]
[ROW][C]41[/C][C]0.999552[/C][C]0.000895702[/C][C]0.000447851[/C][/ROW]
[ROW][C]42[/C][C]0.999825[/C][C]0.000350512[/C][C]0.000175256[/C][/ROW]
[ROW][C]43[/C][C]0.999807[/C][C]0.000385942[/C][C]0.000192971[/C][/ROW]
[ROW][C]44[/C][C]0.999738[/C][C]0.000524096[/C][C]0.000262048[/C][/ROW]
[ROW][C]45[/C][C]0.99964[/C][C]0.000719695[/C][C]0.000359847[/C][/ROW]
[ROW][C]46[/C][C]0.999506[/C][C]0.000987288[/C][C]0.000493644[/C][/ROW]
[ROW][C]47[/C][C]0.999376[/C][C]0.001248[/C][C]0.000623999[/C][/ROW]
[ROW][C]48[/C][C]0.99932[/C][C]0.00136075[/C][C]0.000680375[/C][/ROW]
[ROW][C]49[/C][C]0.999142[/C][C]0.00171555[/C][C]0.000857775[/C][/ROW]
[ROW][C]50[/C][C]0.998764[/C][C]0.00247232[/C][C]0.00123616[/C][/ROW]
[ROW][C]51[/C][C]0.998474[/C][C]0.00305211[/C][C]0.00152606[/C][/ROW]
[ROW][C]52[/C][C]0.997852[/C][C]0.00429524[/C][C]0.00214762[/C][/ROW]
[ROW][C]53[/C][C]0.997509[/C][C]0.00498147[/C][C]0.00249074[/C][/ROW]
[ROW][C]54[/C][C]0.99661[/C][C]0.00677913[/C][C]0.00338957[/C][/ROW]
[ROW][C]55[/C][C]0.996285[/C][C]0.00743038[/C][C]0.00371519[/C][/ROW]
[ROW][C]56[/C][C]0.998966[/C][C]0.00206705[/C][C]0.00103353[/C][/ROW]
[ROW][C]57[/C][C]0.998663[/C][C]0.00267469[/C][C]0.00133734[/C][/ROW]
[ROW][C]58[/C][C]0.998376[/C][C]0.00324796[/C][C]0.00162398[/C][/ROW]
[ROW][C]59[/C][C]0.998485[/C][C]0.00303071[/C][C]0.00151535[/C][/ROW]
[ROW][C]60[/C][C]0.998763[/C][C]0.00247379[/C][C]0.00123689[/C][/ROW]
[ROW][C]61[/C][C]0.999884[/C][C]0.000232753[/C][C]0.000116377[/C][/ROW]
[ROW][C]62[/C][C]0.999914[/C][C]0.000171975[/C][C]8.59876e-05[/C][/ROW]
[ROW][C]63[/C][C]0.999988[/C][C]2.4229e-05[/C][C]1.21145e-05[/C][/ROW]
[ROW][C]64[/C][C]0.999992[/C][C]1.53095e-05[/C][C]7.65477e-06[/C][/ROW]
[ROW][C]65[/C][C]0.999998[/C][C]4.73236e-06[/C][C]2.36618e-06[/C][/ROW]
[ROW][C]66[/C][C]0.999998[/C][C]4.14581e-06[/C][C]2.0729e-06[/C][/ROW]
[ROW][C]67[/C][C]0.999999[/C][C]1.68986e-06[/C][C]8.44931e-07[/C][/ROW]
[ROW][C]68[/C][C]0.999999[/C][C]1.75974e-06[/C][C]8.79868e-07[/C][/ROW]
[ROW][C]69[/C][C]0.999999[/C][C]2.42341e-06[/C][C]1.21171e-06[/C][/ROW]
[ROW][C]70[/C][C]0.999998[/C][C]3.63777e-06[/C][C]1.81889e-06[/C][/ROW]
[ROW][C]71[/C][C]0.999998[/C][C]3.96125e-06[/C][C]1.98063e-06[/C][/ROW]
[ROW][C]72[/C][C]0.999997[/C][C]5.01672e-06[/C][C]2.50836e-06[/C][/ROW]
[ROW][C]73[/C][C]0.999996[/C][C]7.04256e-06[/C][C]3.52128e-06[/C][/ROW]
[ROW][C]74[/C][C]0.999995[/C][C]9.34321e-06[/C][C]4.6716e-06[/C][/ROW]
[ROW][C]75[/C][C]0.999998[/C][C]3.35105e-06[/C][C]1.67553e-06[/C][/ROW]
[ROW][C]76[/C][C]0.999998[/C][C]4.437e-06[/C][C]2.2185e-06[/C][/ROW]
[ROW][C]77[/C][C]0.999998[/C][C]4.9344e-06[/C][C]2.4672e-06[/C][/ROW]
[ROW][C]78[/C][C]0.999997[/C][C]5.67601e-06[/C][C]2.838e-06[/C][/ROW]
[ROW][C]79[/C][C]0.999997[/C][C]6.81852e-06[/C][C]3.40926e-06[/C][/ROW]
[ROW][C]80[/C][C]0.999995[/C][C]9.23012e-06[/C][C]4.61506e-06[/C][/ROW]
[ROW][C]81[/C][C]0.999996[/C][C]8.79337e-06[/C][C]4.39669e-06[/C][/ROW]
[ROW][C]82[/C][C]0.999994[/C][C]1.18456e-05[/C][C]5.92281e-06[/C][/ROW]
[ROW][C]83[/C][C]0.999996[/C][C]8.36507e-06[/C][C]4.18254e-06[/C][/ROW]
[ROW][C]84[/C][C]0.999995[/C][C]1.06931e-05[/C][C]5.34653e-06[/C][/ROW]
[ROW][C]85[/C][C]0.999993[/C][C]1.48094e-05[/C][C]7.40472e-06[/C][/ROW]
[ROW][C]86[/C][C]0.99999[/C][C]2.08954e-05[/C][C]1.04477e-05[/C][/ROW]
[ROW][C]87[/C][C]0.999985[/C][C]3.02425e-05[/C][C]1.51212e-05[/C][/ROW]
[ROW][C]88[/C][C]0.999992[/C][C]1.55444e-05[/C][C]7.77222e-06[/C][/ROW]
[ROW][C]89[/C][C]0.999992[/C][C]1.64337e-05[/C][C]8.21684e-06[/C][/ROW]
[ROW][C]90[/C][C]0.999989[/C][C]2.17644e-05[/C][C]1.08822e-05[/C][/ROW]
[ROW][C]91[/C][C]0.999988[/C][C]2.42972e-05[/C][C]1.21486e-05[/C][/ROW]
[ROW][C]92[/C][C]0.999991[/C][C]1.77474e-05[/C][C]8.87369e-06[/C][/ROW]
[ROW][C]93[/C][C]0.999987[/C][C]2.54959e-05[/C][C]1.2748e-05[/C][/ROW]
[ROW][C]94[/C][C]0.999988[/C][C]2.30772e-05[/C][C]1.15386e-05[/C][/ROW]
[ROW][C]95[/C][C]0.999983[/C][C]3.31412e-05[/C][C]1.65706e-05[/C][/ROW]
[ROW][C]96[/C][C]0.999983[/C][C]3.35719e-05[/C][C]1.6786e-05[/C][/ROW]
[ROW][C]97[/C][C]0.999983[/C][C]3.47529e-05[/C][C]1.73764e-05[/C][/ROW]
[ROW][C]98[/C][C]0.999978[/C][C]4.36617e-05[/C][C]2.18308e-05[/C][/ROW]
[ROW][C]99[/C][C]0.999985[/C][C]3.0161e-05[/C][C]1.50805e-05[/C][/ROW]
[ROW][C]100[/C][C]0.999984[/C][C]3.12917e-05[/C][C]1.56458e-05[/C][/ROW]
[ROW][C]101[/C][C]0.999986[/C][C]2.70877e-05[/C][C]1.35439e-05[/C][/ROW]
[ROW][C]102[/C][C]0.999981[/C][C]3.75418e-05[/C][C]1.87709e-05[/C][/ROW]
[ROW][C]103[/C][C]0.999974[/C][C]5.20837e-05[/C][C]2.60419e-05[/C][/ROW]
[ROW][C]104[/C][C]0.999973[/C][C]5.4949e-05[/C][C]2.74745e-05[/C][/ROW]
[ROW][C]105[/C][C]0.999969[/C][C]6.12485e-05[/C][C]3.06242e-05[/C][/ROW]
[ROW][C]106[/C][C]0.999975[/C][C]5.05543e-05[/C][C]2.52771e-05[/C][/ROW]
[ROW][C]107[/C][C]0.999977[/C][C]4.60925e-05[/C][C]2.30463e-05[/C][/ROW]
[ROW][C]108[/C][C]0.999968[/C][C]6.37104e-05[/C][C]3.18552e-05[/C][/ROW]
[ROW][C]109[/C][C]0.999971[/C][C]5.80857e-05[/C][C]2.90429e-05[/C][/ROW]
[ROW][C]110[/C][C]0.999979[/C][C]4.29523e-05[/C][C]2.14761e-05[/C][/ROW]
[ROW][C]111[/C][C]0.999982[/C][C]3.58488e-05[/C][C]1.79244e-05[/C][/ROW]
[ROW][C]112[/C][C]0.999985[/C][C]2.92452e-05[/C][C]1.46226e-05[/C][/ROW]
[ROW][C]113[/C][C]0.999983[/C][C]3.47659e-05[/C][C]1.7383e-05[/C][/ROW]
[ROW][C]114[/C][C]0.999983[/C][C]3.36007e-05[/C][C]1.68003e-05[/C][/ROW]
[ROW][C]115[/C][C]0.999977[/C][C]4.62992e-05[/C][C]2.31496e-05[/C][/ROW]
[ROW][C]116[/C][C]0.999972[/C][C]5.53415e-05[/C][C]2.76707e-05[/C][/ROW]
[ROW][C]117[/C][C]0.99997[/C][C]5.94607e-05[/C][C]2.97303e-05[/C][/ROW]
[ROW][C]118[/C][C]0.999997[/C][C]6.31947e-06[/C][C]3.15974e-06[/C][/ROW]
[ROW][C]119[/C][C]0.999996[/C][C]8.03114e-06[/C][C]4.01557e-06[/C][/ROW]
[ROW][C]120[/C][C]0.999995[/C][C]9.87854e-06[/C][C]4.93927e-06[/C][/ROW]
[ROW][C]121[/C][C]0.999996[/C][C]8.19463e-06[/C][C]4.09732e-06[/C][/ROW]
[ROW][C]122[/C][C]0.999994[/C][C]1.17736e-05[/C][C]5.88681e-06[/C][/ROW]
[ROW][C]123[/C][C]0.999992[/C][C]1.62701e-05[/C][C]8.13507e-06[/C][/ROW]
[ROW][C]124[/C][C]0.99999[/C][C]2.03379e-05[/C][C]1.01689e-05[/C][/ROW]
[ROW][C]125[/C][C]0.999995[/C][C]1.06832e-05[/C][C]5.34159e-06[/C][/ROW]
[ROW][C]126[/C][C]0.999994[/C][C]1.19761e-05[/C][C]5.98803e-06[/C][/ROW]
[ROW][C]127[/C][C]0.999995[/C][C]1.08006e-05[/C][C]5.40032e-06[/C][/ROW]
[ROW][C]128[/C][C]0.999993[/C][C]1.30669e-05[/C][C]6.53346e-06[/C][/ROW]
[ROW][C]129[/C][C]0.999991[/C][C]1.75787e-05[/C][C]8.78936e-06[/C][/ROW]
[ROW][C]130[/C][C]0.999989[/C][C]2.22537e-05[/C][C]1.11269e-05[/C][/ROW]
[ROW][C]131[/C][C]0.999986[/C][C]2.78003e-05[/C][C]1.39001e-05[/C][/ROW]
[ROW][C]132[/C][C]0.999986[/C][C]2.70087e-05[/C][C]1.35044e-05[/C][/ROW]
[ROW][C]133[/C][C]0.999982[/C][C]3.50804e-05[/C][C]1.75402e-05[/C][/ROW]
[ROW][C]134[/C][C]0.999977[/C][C]4.5973e-05[/C][C]2.29865e-05[/C][/ROW]
[ROW][C]135[/C][C]0.999978[/C][C]4.36556e-05[/C][C]2.18278e-05[/C][/ROW]
[ROW][C]136[/C][C]0.999974[/C][C]5.14334e-05[/C][C]2.57167e-05[/C][/ROW]
[ROW][C]137[/C][C]0.999972[/C][C]5.6545e-05[/C][C]2.82725e-05[/C][/ROW]
[ROW][C]138[/C][C]0.999984[/C][C]3.14019e-05[/C][C]1.57009e-05[/C][/ROW]
[ROW][C]139[/C][C]0.999979[/C][C]4.2599e-05[/C][C]2.12995e-05[/C][/ROW]
[ROW][C]140[/C][C]0.999982[/C][C]3.62042e-05[/C][C]1.81021e-05[/C][/ROW]
[ROW][C]141[/C][C]0.999975[/C][C]4.90867e-05[/C][C]2.45434e-05[/C][/ROW]
[ROW][C]142[/C][C]0.999969[/C][C]6.18974e-05[/C][C]3.09487e-05[/C][/ROW]
[ROW][C]143[/C][C]0.999968[/C][C]6.4782e-05[/C][C]3.2391e-05[/C][/ROW]
[ROW][C]144[/C][C]0.999959[/C][C]8.26664e-05[/C][C]4.13332e-05[/C][/ROW]
[ROW][C]145[/C][C]0.999941[/C][C]0.00011702[/C][C]5.851e-05[/C][/ROW]
[ROW][C]146[/C][C]0.99994[/C][C]0.000119358[/C][C]5.96788e-05[/C][/ROW]
[ROW][C]147[/C][C]0.999926[/C][C]0.000148795[/C][C]7.43976e-05[/C][/ROW]
[ROW][C]148[/C][C]0.999938[/C][C]0.000123608[/C][C]6.18041e-05[/C][/ROW]
[ROW][C]149[/C][C]0.999916[/C][C]0.00016812[/C][C]8.40599e-05[/C][/ROW]
[ROW][C]150[/C][C]0.999892[/C][C]0.000215705[/C][C]0.000107852[/C][/ROW]
[ROW][C]151[/C][C]0.999888[/C][C]0.00022467[/C][C]0.000112335[/C][/ROW]
[ROW][C]152[/C][C]0.999843[/C][C]0.000313081[/C][C]0.00015654[/C][/ROW]
[ROW][C]153[/C][C]0.999788[/C][C]0.000423866[/C][C]0.000211933[/C][/ROW]
[ROW][C]154[/C][C]0.999714[/C][C]0.000571551[/C][C]0.000285776[/C][/ROW]
[ROW][C]155[/C][C]0.99966[/C][C]0.000680529[/C][C]0.000340265[/C][/ROW]
[ROW][C]156[/C][C]0.999591[/C][C]0.00081793[/C][C]0.000408965[/C][/ROW]
[ROW][C]157[/C][C]0.999664[/C][C]0.000671472[/C][C]0.000335736[/C][/ROW]
[ROW][C]158[/C][C]0.999552[/C][C]0.00089577[/C][C]0.000447885[/C][/ROW]
[ROW][C]159[/C][C]0.999452[/C][C]0.00109689[/C][C]0.000548443[/C][/ROW]
[ROW][C]160[/C][C]0.999263[/C][C]0.00147418[/C][C]0.000737092[/C][/ROW]
[ROW][C]161[/C][C]0.999009[/C][C]0.00198141[/C][C]0.000990705[/C][/ROW]
[ROW][C]162[/C][C]0.998695[/C][C]0.00260978[/C][C]0.00130489[/C][/ROW]
[ROW][C]163[/C][C]0.99926[/C][C]0.00147924[/C][C]0.000739619[/C][/ROW]
[ROW][C]164[/C][C]0.999048[/C][C]0.00190478[/C][C]0.000952388[/C][/ROW]
[ROW][C]165[/C][C]0.998883[/C][C]0.00223496[/C][C]0.00111748[/C][/ROW]
[ROW][C]166[/C][C]0.998581[/C][C]0.00283858[/C][C]0.00141929[/C][/ROW]
[ROW][C]167[/C][C]0.999172[/C][C]0.00165641[/C][C]0.000828204[/C][/ROW]
[ROW][C]168[/C][C]0.999173[/C][C]0.00165383[/C][C]0.000826913[/C][/ROW]
[ROW][C]169[/C][C]0.998921[/C][C]0.002157[/C][C]0.0010785[/C][/ROW]
[ROW][C]170[/C][C]0.998645[/C][C]0.00270938[/C][C]0.00135469[/C][/ROW]
[ROW][C]171[/C][C]0.998221[/C][C]0.00355882[/C][C]0.00177941[/C][/ROW]
[ROW][C]172[/C][C]0.998142[/C][C]0.00371664[/C][C]0.00185832[/C][/ROW]
[ROW][C]173[/C][C]0.998897[/C][C]0.00220556[/C][C]0.00110278[/C][/ROW]
[ROW][C]174[/C][C]0.998545[/C][C]0.00291087[/C][C]0.00145543[/C][/ROW]
[ROW][C]175[/C][C]0.998094[/C][C]0.00381161[/C][C]0.00190581[/C][/ROW]
[ROW][C]176[/C][C]0.997628[/C][C]0.0047438[/C][C]0.0023719[/C][/ROW]
[ROW][C]177[/C][C]0.998808[/C][C]0.00238369[/C][C]0.00119185[/C][/ROW]
[ROW][C]178[/C][C]0.998501[/C][C]0.00299804[/C][C]0.00149902[/C][/ROW]
[ROW][C]179[/C][C]0.998243[/C][C]0.0035133[/C][C]0.00175665[/C][/ROW]
[ROW][C]180[/C][C]0.998864[/C][C]0.00227299[/C][C]0.0011365[/C][/ROW]
[ROW][C]181[/C][C]0.999336[/C][C]0.00132808[/C][C]0.000664041[/C][/ROW]
[ROW][C]182[/C][C]0.99918[/C][C]0.0016404[/C][C]0.000820201[/C][/ROW]
[ROW][C]183[/C][C]0.998911[/C][C]0.00217805[/C][C]0.00108902[/C][/ROW]
[ROW][C]184[/C][C]0.998561[/C][C]0.00287897[/C][C]0.00143949[/C][/ROW]
[ROW][C]185[/C][C]0.99818[/C][C]0.00364065[/C][C]0.00182032[/C][/ROW]
[ROW][C]186[/C][C]0.99765[/C][C]0.00470059[/C][C]0.0023503[/C][/ROW]
[ROW][C]187[/C][C]0.996966[/C][C]0.00606789[/C][C]0.00303394[/C][/ROW]
[ROW][C]188[/C][C]0.996795[/C][C]0.00640915[/C][C]0.00320458[/C][/ROW]
[ROW][C]189[/C][C]0.996131[/C][C]0.0077386[/C][C]0.0038693[/C][/ROW]
[ROW][C]190[/C][C]0.994981[/C][C]0.010039[/C][C]0.00501949[/C][/ROW]
[ROW][C]191[/C][C]0.995348[/C][C]0.00930314[/C][C]0.00465157[/C][/ROW]
[ROW][C]192[/C][C]0.994318[/C][C]0.011365[/C][C]0.00568248[/C][/ROW]
[ROW][C]193[/C][C]0.992667[/C][C]0.0146661[/C][C]0.00733303[/C][/ROW]
[ROW][C]194[/C][C]0.992169[/C][C]0.0156626[/C][C]0.00783132[/C][/ROW]
[ROW][C]195[/C][C]0.992651[/C][C]0.0146971[/C][C]0.00734853[/C][/ROW]
[ROW][C]196[/C][C]0.99068[/C][C]0.0186392[/C][C]0.00931959[/C][/ROW]
[ROW][C]197[/C][C]0.988016[/C][C]0.0239689[/C][C]0.0119845[/C][/ROW]
[ROW][C]198[/C][C]0.986512[/C][C]0.026976[/C][C]0.013488[/C][/ROW]
[ROW][C]199[/C][C]0.982893[/C][C]0.034215[/C][C]0.0171075[/C][/ROW]
[ROW][C]200[/C][C]0.992244[/C][C]0.0155116[/C][C]0.00775582[/C][/ROW]
[ROW][C]201[/C][C]0.989923[/C][C]0.0201541[/C][C]0.0100771[/C][/ROW]
[ROW][C]202[/C][C]0.987323[/C][C]0.0253538[/C][C]0.0126769[/C][/ROW]
[ROW][C]203[/C][C]0.984339[/C][C]0.0313212[/C][C]0.0156606[/C][/ROW]
[ROW][C]204[/C][C]0.980365[/C][C]0.0392703[/C][C]0.0196352[/C][/ROW]
[ROW][C]205[/C][C]0.98005[/C][C]0.0399002[/C][C]0.0199501[/C][/ROW]
[ROW][C]206[/C][C]0.975045[/C][C]0.0499097[/C][C]0.0249549[/C][/ROW]
[ROW][C]207[/C][C]0.969306[/C][C]0.0613888[/C][C]0.0306944[/C][/ROW]
[ROW][C]208[/C][C]0.962127[/C][C]0.075746[/C][C]0.037873[/C][/ROW]
[ROW][C]209[/C][C]0.95401[/C][C]0.0919805[/C][C]0.0459902[/C][/ROW]
[ROW][C]210[/C][C]0.952994[/C][C]0.094011[/C][C]0.0470055[/C][/ROW]
[ROW][C]211[/C][C]0.947511[/C][C]0.104978[/C][C]0.052489[/C][/ROW]
[ROW][C]212[/C][C]0.936495[/C][C]0.12701[/C][C]0.0635048[/C][/ROW]
[ROW][C]213[/C][C]0.926832[/C][C]0.146337[/C][C]0.0731683[/C][/ROW]
[ROW][C]214[/C][C]0.943111[/C][C]0.113778[/C][C]0.0568891[/C][/ROW]
[ROW][C]215[/C][C]0.968287[/C][C]0.0634256[/C][C]0.0317128[/C][/ROW]
[ROW][C]216[/C][C]0.979371[/C][C]0.0412582[/C][C]0.0206291[/C][/ROW]
[ROW][C]217[/C][C]0.975835[/C][C]0.0483298[/C][C]0.0241649[/C][/ROW]
[ROW][C]218[/C][C]0.973698[/C][C]0.0526048[/C][C]0.0263024[/C][/ROW]
[ROW][C]219[/C][C]0.969708[/C][C]0.0605837[/C][C]0.0302919[/C][/ROW]
[ROW][C]220[/C][C]0.965685[/C][C]0.0686295[/C][C]0.0343148[/C][/ROW]
[ROW][C]221[/C][C]0.962145[/C][C]0.0757096[/C][C]0.0378548[/C][/ROW]
[ROW][C]222[/C][C]0.956139[/C][C]0.0877223[/C][C]0.0438611[/C][/ROW]
[ROW][C]223[/C][C]0.956615[/C][C]0.0867691[/C][C]0.0433846[/C][/ROW]
[ROW][C]224[/C][C]0.947198[/C][C]0.105604[/C][C]0.0528018[/C][/ROW]
[ROW][C]225[/C][C]0.934714[/C][C]0.130572[/C][C]0.0652858[/C][/ROW]
[ROW][C]226[/C][C]0.935917[/C][C]0.128167[/C][C]0.0640834[/C][/ROW]
[ROW][C]227[/C][C]0.930874[/C][C]0.138251[/C][C]0.0691255[/C][/ROW]
[ROW][C]228[/C][C]0.9218[/C][C]0.1564[/C][C]0.0782001[/C][/ROW]
[ROW][C]229[/C][C]0.907[/C][C]0.186[/C][C]0.093[/C][/ROW]
[ROW][C]230[/C][C]0.904014[/C][C]0.191972[/C][C]0.0959858[/C][/ROW]
[ROW][C]231[/C][C]0.884482[/C][C]0.231035[/C][C]0.115518[/C][/ROW]
[ROW][C]232[/C][C]0.862839[/C][C]0.274322[/C][C]0.137161[/C][/ROW]
[ROW][C]233[/C][C]0.890065[/C][C]0.219871[/C][C]0.109935[/C][/ROW]
[ROW][C]234[/C][C]0.957864[/C][C]0.084272[/C][C]0.042136[/C][/ROW]
[ROW][C]235[/C][C]0.947229[/C][C]0.105541[/C][C]0.0527706[/C][/ROW]
[ROW][C]236[/C][C]0.937158[/C][C]0.125683[/C][C]0.0628416[/C][/ROW]
[ROW][C]237[/C][C]0.924926[/C][C]0.150149[/C][C]0.0750744[/C][/ROW]
[ROW][C]238[/C][C]0.949192[/C][C]0.101616[/C][C]0.050808[/C][/ROW]
[ROW][C]239[/C][C]0.965951[/C][C]0.0680988[/C][C]0.0340494[/C][/ROW]
[ROW][C]240[/C][C]0.961289[/C][C]0.0774225[/C][C]0.0387113[/C][/ROW]
[ROW][C]241[/C][C]0.951927[/C][C]0.0961454[/C][C]0.0480727[/C][/ROW]
[ROW][C]242[/C][C]0.938641[/C][C]0.122717[/C][C]0.0613586[/C][/ROW]
[ROW][C]243[/C][C]0.934991[/C][C]0.130019[/C][C]0.0650093[/C][/ROW]
[ROW][C]244[/C][C]0.934782[/C][C]0.130436[/C][C]0.0652181[/C][/ROW]
[ROW][C]245[/C][C]0.916721[/C][C]0.166558[/C][C]0.0832788[/C][/ROW]
[ROW][C]246[/C][C]0.91119[/C][C]0.177621[/C][C]0.0888105[/C][/ROW]
[ROW][C]247[/C][C]0.890145[/C][C]0.21971[/C][C]0.109855[/C][/ROW]
[ROW][C]248[/C][C]0.893123[/C][C]0.213754[/C][C]0.106877[/C][/ROW]
[ROW][C]249[/C][C]0.869289[/C][C]0.261422[/C][C]0.130711[/C][/ROW]
[ROW][C]250[/C][C]0.852496[/C][C]0.295008[/C][C]0.147504[/C][/ROW]
[ROW][C]251[/C][C]0.848192[/C][C]0.303616[/C][C]0.151808[/C][/ROW]
[ROW][C]252[/C][C]0.818314[/C][C]0.363373[/C][C]0.181686[/C][/ROW]
[ROW][C]253[/C][C]0.828837[/C][C]0.342327[/C][C]0.171163[/C][/ROW]
[ROW][C]254[/C][C]0.804818[/C][C]0.390363[/C][C]0.195182[/C][/ROW]
[ROW][C]255[/C][C]0.768721[/C][C]0.462558[/C][C]0.231279[/C][/ROW]
[ROW][C]256[/C][C]0.726686[/C][C]0.546627[/C][C]0.273314[/C][/ROW]
[ROW][C]257[/C][C]0.843557[/C][C]0.312886[/C][C]0.156443[/C][/ROW]
[ROW][C]258[/C][C]0.801727[/C][C]0.396546[/C][C]0.198273[/C][/ROW]
[ROW][C]259[/C][C]0.810997[/C][C]0.378005[/C][C]0.189003[/C][/ROW]
[ROW][C]260[/C][C]0.843273[/C][C]0.313454[/C][C]0.156727[/C][/ROW]
[ROW][C]261[/C][C]0.805929[/C][C]0.388142[/C][C]0.194071[/C][/ROW]
[ROW][C]262[/C][C]0.754252[/C][C]0.491496[/C][C]0.245748[/C][/ROW]
[ROW][C]263[/C][C]0.699321[/C][C]0.601358[/C][C]0.300679[/C][/ROW]
[ROW][C]264[/C][C]0.644274[/C][C]0.711452[/C][C]0.355726[/C][/ROW]
[ROW][C]265[/C][C]0.654493[/C][C]0.691013[/C][C]0.345507[/C][/ROW]
[ROW][C]266[/C][C]0.605232[/C][C]0.789536[/C][C]0.394768[/C][/ROW]
[ROW][C]267[/C][C]0.618093[/C][C]0.763815[/C][C]0.381907[/C][/ROW]
[ROW][C]268[/C][C]0.662472[/C][C]0.675056[/C][C]0.337528[/C][/ROW]
[ROW][C]269[/C][C]0.583039[/C][C]0.833923[/C][C]0.416961[/C][/ROW]
[ROW][C]270[/C][C]0.514919[/C][C]0.970161[/C][C]0.485081[/C][/ROW]
[ROW][C]271[/C][C]0.424865[/C][C]0.849729[/C][C]0.575135[/C][/ROW]
[ROW][C]272[/C][C]0.693836[/C][C]0.612329[/C][C]0.306164[/C][/ROW]
[ROW][C]273[/C][C]0.601731[/C][C]0.796538[/C][C]0.398269[/C][/ROW]
[ROW][C]274[/C][C]0.506088[/C][C]0.987824[/C][C]0.493912[/C][/ROW]
[ROW][C]275[/C][C]0.843855[/C][C]0.312289[/C][C]0.156145[/C][/ROW]
[ROW][C]276[/C][C]0.810674[/C][C]0.378652[/C][C]0.189326[/C][/ROW]
[ROW][C]277[/C][C]0.743587[/C][C]0.512826[/C][C]0.256413[/C][/ROW]
[ROW][C]278[/C][C]0.584004[/C][C]0.831993[/C][C]0.415996[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265660&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265660&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
90.4565530.9131070.543447
100.8780530.2438950.121947
110.8422220.3155560.157778
120.8357480.3285050.164252
130.8145510.3708980.185449
140.8349570.3300850.165043
150.7717510.4564990.228249
160.9999843.26747e-051.63373e-05
170.9999657.06033e-053.53017e-05
180.9999440.0001122345.6117e-05
190.9999160.0001682328.41158e-05
200.9998830.000233030.000116515
210.9999656.9033e-053.45165e-05
220.9999656.96142e-053.48071e-05
230.9999588.4441e-054.22205e-05
240.9999280.0001441937.20963e-05
250.9998980.0002045810.000102291
260.9998450.0003098070.000154904
270.9998880.0002230680.000111534
280.9998240.0003518260.000175913
290.9998980.0002045340.000102267
300.999840.0003198050.000159903
310.9998830.0002347640.000117382
320.9998260.0003473340.000173667
330.9998270.0003461610.00017308
340.999740.0005204270.000260213
350.9997420.0005161380.000258069
360.9996350.000730590.000365295
370.9996560.000688340.00034417
380.9997110.0005778120.000288906
390.999770.0004602020.000230101
400.9996430.0007146070.000357303
410.9995520.0008957020.000447851
420.9998250.0003505120.000175256
430.9998070.0003859420.000192971
440.9997380.0005240960.000262048
450.999640.0007196950.000359847
460.9995060.0009872880.000493644
470.9993760.0012480.000623999
480.999320.001360750.000680375
490.9991420.001715550.000857775
500.9987640.002472320.00123616
510.9984740.003052110.00152606
520.9978520.004295240.00214762
530.9975090.004981470.00249074
540.996610.006779130.00338957
550.9962850.007430380.00371519
560.9989660.002067050.00103353
570.9986630.002674690.00133734
580.9983760.003247960.00162398
590.9984850.003030710.00151535
600.9987630.002473790.00123689
610.9998840.0002327530.000116377
620.9999140.0001719758.59876e-05
630.9999882.4229e-051.21145e-05
640.9999921.53095e-057.65477e-06
650.9999984.73236e-062.36618e-06
660.9999984.14581e-062.0729e-06
670.9999991.68986e-068.44931e-07
680.9999991.75974e-068.79868e-07
690.9999992.42341e-061.21171e-06
700.9999983.63777e-061.81889e-06
710.9999983.96125e-061.98063e-06
720.9999975.01672e-062.50836e-06
730.9999967.04256e-063.52128e-06
740.9999959.34321e-064.6716e-06
750.9999983.35105e-061.67553e-06
760.9999984.437e-062.2185e-06
770.9999984.9344e-062.4672e-06
780.9999975.67601e-062.838e-06
790.9999976.81852e-063.40926e-06
800.9999959.23012e-064.61506e-06
810.9999968.79337e-064.39669e-06
820.9999941.18456e-055.92281e-06
830.9999968.36507e-064.18254e-06
840.9999951.06931e-055.34653e-06
850.9999931.48094e-057.40472e-06
860.999992.08954e-051.04477e-05
870.9999853.02425e-051.51212e-05
880.9999921.55444e-057.77222e-06
890.9999921.64337e-058.21684e-06
900.9999892.17644e-051.08822e-05
910.9999882.42972e-051.21486e-05
920.9999911.77474e-058.87369e-06
930.9999872.54959e-051.2748e-05
940.9999882.30772e-051.15386e-05
950.9999833.31412e-051.65706e-05
960.9999833.35719e-051.6786e-05
970.9999833.47529e-051.73764e-05
980.9999784.36617e-052.18308e-05
990.9999853.0161e-051.50805e-05
1000.9999843.12917e-051.56458e-05
1010.9999862.70877e-051.35439e-05
1020.9999813.75418e-051.87709e-05
1030.9999745.20837e-052.60419e-05
1040.9999735.4949e-052.74745e-05
1050.9999696.12485e-053.06242e-05
1060.9999755.05543e-052.52771e-05
1070.9999774.60925e-052.30463e-05
1080.9999686.37104e-053.18552e-05
1090.9999715.80857e-052.90429e-05
1100.9999794.29523e-052.14761e-05
1110.9999823.58488e-051.79244e-05
1120.9999852.92452e-051.46226e-05
1130.9999833.47659e-051.7383e-05
1140.9999833.36007e-051.68003e-05
1150.9999774.62992e-052.31496e-05
1160.9999725.53415e-052.76707e-05
1170.999975.94607e-052.97303e-05
1180.9999976.31947e-063.15974e-06
1190.9999968.03114e-064.01557e-06
1200.9999959.87854e-064.93927e-06
1210.9999968.19463e-064.09732e-06
1220.9999941.17736e-055.88681e-06
1230.9999921.62701e-058.13507e-06
1240.999992.03379e-051.01689e-05
1250.9999951.06832e-055.34159e-06
1260.9999941.19761e-055.98803e-06
1270.9999951.08006e-055.40032e-06
1280.9999931.30669e-056.53346e-06
1290.9999911.75787e-058.78936e-06
1300.9999892.22537e-051.11269e-05
1310.9999862.78003e-051.39001e-05
1320.9999862.70087e-051.35044e-05
1330.9999823.50804e-051.75402e-05
1340.9999774.5973e-052.29865e-05
1350.9999784.36556e-052.18278e-05
1360.9999745.14334e-052.57167e-05
1370.9999725.6545e-052.82725e-05
1380.9999843.14019e-051.57009e-05
1390.9999794.2599e-052.12995e-05
1400.9999823.62042e-051.81021e-05
1410.9999754.90867e-052.45434e-05
1420.9999696.18974e-053.09487e-05
1430.9999686.4782e-053.2391e-05
1440.9999598.26664e-054.13332e-05
1450.9999410.000117025.851e-05
1460.999940.0001193585.96788e-05
1470.9999260.0001487957.43976e-05
1480.9999380.0001236086.18041e-05
1490.9999160.000168128.40599e-05
1500.9998920.0002157050.000107852
1510.9998880.000224670.000112335
1520.9998430.0003130810.00015654
1530.9997880.0004238660.000211933
1540.9997140.0005715510.000285776
1550.999660.0006805290.000340265
1560.9995910.000817930.000408965
1570.9996640.0006714720.000335736
1580.9995520.000895770.000447885
1590.9994520.001096890.000548443
1600.9992630.001474180.000737092
1610.9990090.001981410.000990705
1620.9986950.002609780.00130489
1630.999260.001479240.000739619
1640.9990480.001904780.000952388
1650.9988830.002234960.00111748
1660.9985810.002838580.00141929
1670.9991720.001656410.000828204
1680.9991730.001653830.000826913
1690.9989210.0021570.0010785
1700.9986450.002709380.00135469
1710.9982210.003558820.00177941
1720.9981420.003716640.00185832
1730.9988970.002205560.00110278
1740.9985450.002910870.00145543
1750.9980940.003811610.00190581
1760.9976280.00474380.0023719
1770.9988080.002383690.00119185
1780.9985010.002998040.00149902
1790.9982430.00351330.00175665
1800.9988640.002272990.0011365
1810.9993360.001328080.000664041
1820.999180.00164040.000820201
1830.9989110.002178050.00108902
1840.9985610.002878970.00143949
1850.998180.003640650.00182032
1860.997650.004700590.0023503
1870.9969660.006067890.00303394
1880.9967950.006409150.00320458
1890.9961310.00773860.0038693
1900.9949810.0100390.00501949
1910.9953480.009303140.00465157
1920.9943180.0113650.00568248
1930.9926670.01466610.00733303
1940.9921690.01566260.00783132
1950.9926510.01469710.00734853
1960.990680.01863920.00931959
1970.9880160.02396890.0119845
1980.9865120.0269760.013488
1990.9828930.0342150.0171075
2000.9922440.01551160.00775582
2010.9899230.02015410.0100771
2020.9873230.02535380.0126769
2030.9843390.03132120.0156606
2040.9803650.03927030.0196352
2050.980050.03990020.0199501
2060.9750450.04990970.0249549
2070.9693060.06138880.0306944
2080.9621270.0757460.037873
2090.954010.09198050.0459902
2100.9529940.0940110.0470055
2110.9475110.1049780.052489
2120.9364950.127010.0635048
2130.9268320.1463370.0731683
2140.9431110.1137780.0568891
2150.9682870.06342560.0317128
2160.9793710.04125820.0206291
2170.9758350.04832980.0241649
2180.9736980.05260480.0263024
2190.9697080.06058370.0302919
2200.9656850.06862950.0343148
2210.9621450.07570960.0378548
2220.9561390.08772230.0438611
2230.9566150.08676910.0433846
2240.9471980.1056040.0528018
2250.9347140.1305720.0652858
2260.9359170.1281670.0640834
2270.9308740.1382510.0691255
2280.92180.15640.0782001
2290.9070.1860.093
2300.9040140.1919720.0959858
2310.8844820.2310350.115518
2320.8628390.2743220.137161
2330.8900650.2198710.109935
2340.9578640.0842720.042136
2350.9472290.1055410.0527706
2360.9371580.1256830.0628416
2370.9249260.1501490.0750744
2380.9491920.1016160.050808
2390.9659510.06809880.0340494
2400.9612890.07742250.0387113
2410.9519270.09614540.0480727
2420.9386410.1227170.0613586
2430.9349910.1300190.0650093
2440.9347820.1304360.0652181
2450.9167210.1665580.0832788
2460.911190.1776210.0888105
2470.8901450.219710.109855
2480.8931230.2137540.106877
2490.8692890.2614220.130711
2500.8524960.2950080.147504
2510.8481920.3036160.151808
2520.8183140.3633730.181686
2530.8288370.3423270.171163
2540.8048180.3903630.195182
2550.7687210.4625580.231279
2560.7266860.5466270.273314
2570.8435570.3128860.156443
2580.8017270.3965460.198273
2590.8109970.3780050.189003
2600.8432730.3134540.156727
2610.8059290.3881420.194071
2620.7542520.4914960.245748
2630.6993210.6013580.300679
2640.6442740.7114520.355726
2650.6544930.6910130.345507
2660.6052320.7895360.394768
2670.6180930.7638150.381907
2680.6624720.6750560.337528
2690.5830390.8339230.416961
2700.5149190.9701610.485081
2710.4248650.8497290.575135
2720.6938360.6123290.306164
2730.6017310.7965380.398269
2740.5060880.9878240.493912
2750.8438550.3122890.156145
2760.8106740.3786520.189326
2770.7435870.5128260.256413
2780.5840040.8319930.415996






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1750.648148NOK
5% type I error level1930.714815NOK
10% type I error level2080.77037NOK

\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 & 175 & 0.648148 & NOK \tabularnewline
5% type I error level & 193 & 0.714815 & NOK \tabularnewline
10% type I error level & 208 & 0.77037 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265660&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]175[/C][C]0.648148[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]193[/C][C]0.714815[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]208[/C][C]0.77037[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265660&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265660&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 level1750.648148NOK
5% type I error level1930.714815NOK
10% type I error level2080.77037NOK


Figures (Output of Computation)

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

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