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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 18 Nov 2013 13:09:08 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Nov/18/t1384798227aemurdh9o5v4k27.htm/, Retrieved Sat, 27 Apr 2024 11:20:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=226205, Retrieved Sat, 27 Apr 2024 11:20:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact49

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time13 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 13 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226205&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]13 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226205&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226205&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 time13 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 14.889 + 0.0329849Connected[t] + 0.0188242Separate[t] -0.55981Month[t] + 0.178135Learning[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Happiness[t] =  +  14.889 +  0.0329849Connected[t] +  0.0188242Separate[t] -0.55981Month[t] +  0.178135Learning[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226205&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Happiness[t] =  +  14.889 +  0.0329849Connected[t] +  0.0188242Separate[t] -0.55981Month[t] +  0.178135Learning[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226205&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226205&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
Happiness[t] = + 14.889 + 0.0329849Connected[t] + 0.0188242Separate[t] -0.55981Month[t] + 0.178135Learning[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)14.8892.973925.0071.02548e-065.12742e-07
Connected0.03298490.04435240.74370.4577320.228866
Separate0.01882420.04526120.41590.6778270.338914
Month-0.559810.199722-2.8030.005446710.00272335
Learning0.1781350.06491882.7440.006494540.00324727

\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) & 14.889 & 2.97392 & 5.007 & 1.02548e-06 & 5.12742e-07 \tabularnewline
Connected & 0.0329849 & 0.0443524 & 0.7437 & 0.457732 & 0.228866 \tabularnewline
Separate & 0.0188242 & 0.0452612 & 0.4159 & 0.677827 & 0.338914 \tabularnewline
Month & -0.55981 & 0.199722 & -2.803 & 0.00544671 & 0.00272335 \tabularnewline
Learning & 0.178135 & 0.0649188 & 2.744 & 0.00649454 & 0.00324727 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226205&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]14.889[/C][C]2.97392[/C][C]5.007[/C][C]1.02548e-06[/C][C]5.12742e-07[/C][/ROW]
[ROW][C]Connected[/C][C]0.0329849[/C][C]0.0443524[/C][C]0.7437[/C][C]0.457732[/C][C]0.228866[/C][/ROW]
[ROW][C]Separate[/C][C]0.0188242[/C][C]0.0452612[/C][C]0.4159[/C][C]0.677827[/C][C]0.338914[/C][/ROW]
[ROW][C]Month[/C][C]-0.55981[/C][C]0.199722[/C][C]-2.803[/C][C]0.00544671[/C][C]0.00272335[/C][/ROW]
[ROW][C]Learning[/C][C]0.178135[/C][C]0.0649188[/C][C]2.744[/C][C]0.00649454[/C][C]0.00324727[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226205&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226205&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)14.8892.973925.0071.02548e-065.12742e-07
Connected0.03298490.04435240.74370.4577320.228866
Separate0.01882420.04526120.41590.6778270.338914
Month-0.559810.199722-2.8030.005446710.00272335
Learning0.1781350.06491882.7440.006494540.00324727






Multiple Linear Regression - Regression Statistics
Multiple R0.311224
R-squared0.0968607
Adjusted R-squared0.0829126
F-TEST (value)6.94436
F-TEST (DF numerator)4
F-TEST (DF denominator)259
p-value2.52331e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.39282
Sum Squared Residuals1482.92

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.311224 \tabularnewline
R-squared & 0.0968607 \tabularnewline
Adjusted R-squared & 0.0829126 \tabularnewline
F-TEST (value) & 6.94436 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 259 \tabularnewline
p-value & 2.52331e-05 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.39282 \tabularnewline
Sum Squared Residuals & 1482.92 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226205&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.311224[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0968607[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0829126[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]6.94436[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]259[/C][/ROW]
[ROW][C]p-value[/C][C]2.52331e-05[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.39282[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1482.92[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226205&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226205&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 R0.311224
R-squared0.0968607
Adjusted R-squared0.0829126
F-TEST (value)6.94436
F-TEST (DF numerator)4
F-TEST (DF denominator)259
p-value2.52331e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.39282
Sum Squared Residuals1482.92






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11414.2342-0.234184
21814.58973.41033
31114.8837-3.88369
41214.1665-2.16648
51614.16261.8374
61813.86694.13314
71415.1053-1.10525
81414.3219-0.321911
91514.19090.809078
101514.45850.541486
111714.53792.46214
121914.52844.47163
131014.6132-4.61316
141614.70261.29738
151814.6643.33598
161414.1995-0.199469
171414.3126-0.312584
181715.38221.61783
191415.0589-1.05889
201614.35881.64122
211814.37763.6224
221114.307-3.30697
231415.237-1.23702
241214.6555-2.65547
251714.76782.23219
26914.8338-5.83378
271614.54721.45281
281414.3078-0.30775
291514.41060.589411
301114.0873-3.0873
311614.12881.87116
321313.4813-0.481316
331714.14862.85139
341514.51890.48113
351414.0308-0.0308314
361613.30882.69121
37913.1722-4.17219
381514.15330.846726
391714.2412.759
401314.4766-1.47656
411514.52370.476296
421614.08731.9127
431615.26920.730772
441214.1203-2.12029
451514.12510.874877
461113.6895-2.6895
471514.33220.667812
481514.25130.748722
491714.60372.39634
501314.2004-1.20042
511614.47171.52828
521413.96490.0351384
531113.6651-2.66506
541214.5377-2.53769
551213.1118-1.11184
561514.22390.776093
571614.62731.37268
581514.29750.702527
591214.4209-2.42087
601214.4954-2.49538
61813.505-5.50497
621314.5943-1.59434
631114.4812-3.48122
641414.026-0.0259976
651514.40590.594075
661014.1702-4.17018
671114.3437-3.34365
681213.9951-1.99515
691513.46791.53208
701513.9921.00795
711413.00340.996633
721613.52272.47734
731514.3530.647021
741514.52260.477433
751313.7708-0.770819
761214.1704-2.17035
771714.0582.94198
781313.8461-0.846116
791513.11381.8862
801313.8698-0.869774
811513.90731.09275
821513.9921.00795
831613.80462.19542
841513.65851.34152
851413.81310.186869
861513.77241.22762
871413.86960.130397
881313.7-0.700015
89713.6726-6.67264
901713.12873.87126
911314.109-1.10904
921514.06730.932658
931413.54550.454461
941313.128-0.127963
951614.10521.89484
961214.0204-2.02037
971413.87910.120899
981714.00152.99846
991513.5181.482
1001714.07222.92782
1011214.0204-2.02037
1021614.73761.26243
1031113.5455-2.54554
1041513.96371.03628
105913.5284-4.52844
1061614.23151.76851
1071514.22760.772397
1081013.9874-3.98738
1091013.6375-3.63751
1101513.77061.22935
1111113.7848-2.78481
1121314.1465-1.14652
1131413.28340.71661
1141813.2894.711
1151614.32021.67984
1161413.62630.373721
1171413.65930.340736
1181413.3540.645977
1191414.0722-0.072176
1201213.3917-1.39167
1211413.67190.328136
1221513.59421.40576
1231514.07680.92316
1241513.7341.26605
1251313.7848-0.784809
1261713.85173.14827
1271714.50472.49531
1281913.72915.27088
1291513.20421.79579
1301313.8178-0.817794
131912.5982-3.59822
1321514.1570.84303
1331512.88392.11614
1341513.72061.27943
1351613.56442.43564
1361112.9444-1.94438
1371413.74330.256723
1381112.8988-1.8988
1391513.2231.77697
1401312.93180.0682164
1411513.83661.16338
1421613.6492.35101
1431413.96760.0323924
1441513.59661.40343
1451612.97523.02478
1461614.06111.93888
1471113.4718-2.4718
1481213.7801-1.78015
149913.3635-4.36352
1501613.05982.94016
1511314.0448-1.0448
1521613.97792.02212
1531214.0297-2.02969
154914.2381-5.23807
1551312.74430.255678
1561314.109-1.10904
1571413.35870.641314
1581913.72915.27088
1591313.8649-0.86494
1601213.1994-1.19938
1611313.4058-0.405832
1621012.4269-2.42689
1631412.38071.61931
1641613.6342.36597
1651013.2588-3.25876
1661111.8688-0.868824
1671412.83571.16425
1681212.0188-0.0188078
169912.8837-3.88367
170913.1684-4.16836
1711112.6727-1.67272
1721613.46522.53478
173912.88-3.87996
1741311.76151.23851
1751612.58333.41674
1761313.1175-0.117498
177912.7104-3.71037
1781212.423-0.423003
1791612.83113.16892
1801112.8187-1.81865
1811413.44640.553603
1821312.40980.590207
1831513.81591.18412
1841413.25890.741065
1851611.40894.59106
1861313.3145-0.314457
1871413.58690.413117
1881512.73872.26131
1891312.14130.85875
1901112.4238-1.42378
1911112.9582-1.95819
1921413.58770.412337
1931512.54542.45455
1941113.4322-2.43224
1951512.70482.29524
1961213.3389-1.3389
1971413.28630.713694
1981413.36630.633734
199812.9347-4.9347
2001313.0413-0.0412511
201913.1355-4.13554
2021512.58142.41864
2031712.39564.60437
2041312.59260.407409
2051513.13171.86834
2061513.20231.79771
2071413.43220.567764
2081613.41342.58659
2091312.49930.50075
2101613.14582.85418
211912.6114-3.61142
2121613.04942.95062
2131113.1928-2.19279
2141012.9951-2.99506
2151113.3946-2.39459
2161512.61922.38082
2171713.50683.49325
2181413.15140.848567
219812.8932-4.89317
2201513.32471.67527
2211112.8225-1.82253
2221613.15612.8439
2231013.094-3.09401
2241512.49362.50636
225912.846-3.84602
2261611.88944.11062
2271912.84996.15009
2281212.9535-0.953524
229812.4333-4.43328
2301112.6491-1.64906
2311412.73311.26692
232912.3163-3.31628
2331513.27681.72319
2341313.9111-0.911118
2351612.77073.22927
2361112.4616-1.4616
2371211.22880.771181
2381312.74260.257425
2391013.1214-3.12138
2401112.2976-1.29763
2411212.3617-0.361697
242812.682-4.68205
2431211.96310.0368847
2441212.8225-0.822535
2451513.20711.79287
2461112.4841-1.48414
2471312.93940.0606366
2481412.30231.69771
2491011.8908-1.89075
2501211.93790.0621027
2511512.35312.64685
2521312.20330.796664
2531312.69620.303791
2541313.2721-0.272145
2551212.7104-0.71037
2561212.9677-0.967685
257913.4322-4.43224
258912.8499-3.84991
2591512.90732.09267
2601011.1628-1.16285
2611412.85851.14155
2621512.52742.4726
263712.6877-5.68766
2641412.78391.21606

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 14 & 14.2342 & -0.234184 \tabularnewline
2 & 18 & 14.5897 & 3.41033 \tabularnewline
3 & 11 & 14.8837 & -3.88369 \tabularnewline
4 & 12 & 14.1665 & -2.16648 \tabularnewline
5 & 16 & 14.1626 & 1.8374 \tabularnewline
6 & 18 & 13.8669 & 4.13314 \tabularnewline
7 & 14 & 15.1053 & -1.10525 \tabularnewline
8 & 14 & 14.3219 & -0.321911 \tabularnewline
9 & 15 & 14.1909 & 0.809078 \tabularnewline
10 & 15 & 14.4585 & 0.541486 \tabularnewline
11 & 17 & 14.5379 & 2.46214 \tabularnewline
12 & 19 & 14.5284 & 4.47163 \tabularnewline
13 & 10 & 14.6132 & -4.61316 \tabularnewline
14 & 16 & 14.7026 & 1.29738 \tabularnewline
15 & 18 & 14.664 & 3.33598 \tabularnewline
16 & 14 & 14.1995 & -0.199469 \tabularnewline
17 & 14 & 14.3126 & -0.312584 \tabularnewline
18 & 17 & 15.3822 & 1.61783 \tabularnewline
19 & 14 & 15.0589 & -1.05889 \tabularnewline
20 & 16 & 14.3588 & 1.64122 \tabularnewline
21 & 18 & 14.3776 & 3.6224 \tabularnewline
22 & 11 & 14.307 & -3.30697 \tabularnewline
23 & 14 & 15.237 & -1.23702 \tabularnewline
24 & 12 & 14.6555 & -2.65547 \tabularnewline
25 & 17 & 14.7678 & 2.23219 \tabularnewline
26 & 9 & 14.8338 & -5.83378 \tabularnewline
27 & 16 & 14.5472 & 1.45281 \tabularnewline
28 & 14 & 14.3078 & -0.30775 \tabularnewline
29 & 15 & 14.4106 & 0.589411 \tabularnewline
30 & 11 & 14.0873 & -3.0873 \tabularnewline
31 & 16 & 14.1288 & 1.87116 \tabularnewline
32 & 13 & 13.4813 & -0.481316 \tabularnewline
33 & 17 & 14.1486 & 2.85139 \tabularnewline
34 & 15 & 14.5189 & 0.48113 \tabularnewline
35 & 14 & 14.0308 & -0.0308314 \tabularnewline
36 & 16 & 13.3088 & 2.69121 \tabularnewline
37 & 9 & 13.1722 & -4.17219 \tabularnewline
38 & 15 & 14.1533 & 0.846726 \tabularnewline
39 & 17 & 14.241 & 2.759 \tabularnewline
40 & 13 & 14.4766 & -1.47656 \tabularnewline
41 & 15 & 14.5237 & 0.476296 \tabularnewline
42 & 16 & 14.0873 & 1.9127 \tabularnewline
43 & 16 & 15.2692 & 0.730772 \tabularnewline
44 & 12 & 14.1203 & -2.12029 \tabularnewline
45 & 15 & 14.1251 & 0.874877 \tabularnewline
46 & 11 & 13.6895 & -2.6895 \tabularnewline
47 & 15 & 14.3322 & 0.667812 \tabularnewline
48 & 15 & 14.2513 & 0.748722 \tabularnewline
49 & 17 & 14.6037 & 2.39634 \tabularnewline
50 & 13 & 14.2004 & -1.20042 \tabularnewline
51 & 16 & 14.4717 & 1.52828 \tabularnewline
52 & 14 & 13.9649 & 0.0351384 \tabularnewline
53 & 11 & 13.6651 & -2.66506 \tabularnewline
54 & 12 & 14.5377 & -2.53769 \tabularnewline
55 & 12 & 13.1118 & -1.11184 \tabularnewline
56 & 15 & 14.2239 & 0.776093 \tabularnewline
57 & 16 & 14.6273 & 1.37268 \tabularnewline
58 & 15 & 14.2975 & 0.702527 \tabularnewline
59 & 12 & 14.4209 & -2.42087 \tabularnewline
60 & 12 & 14.4954 & -2.49538 \tabularnewline
61 & 8 & 13.505 & -5.50497 \tabularnewline
62 & 13 & 14.5943 & -1.59434 \tabularnewline
63 & 11 & 14.4812 & -3.48122 \tabularnewline
64 & 14 & 14.026 & -0.0259976 \tabularnewline
65 & 15 & 14.4059 & 0.594075 \tabularnewline
66 & 10 & 14.1702 & -4.17018 \tabularnewline
67 & 11 & 14.3437 & -3.34365 \tabularnewline
68 & 12 & 13.9951 & -1.99515 \tabularnewline
69 & 15 & 13.4679 & 1.53208 \tabularnewline
70 & 15 & 13.992 & 1.00795 \tabularnewline
71 & 14 & 13.0034 & 0.996633 \tabularnewline
72 & 16 & 13.5227 & 2.47734 \tabularnewline
73 & 15 & 14.353 & 0.647021 \tabularnewline
74 & 15 & 14.5226 & 0.477433 \tabularnewline
75 & 13 & 13.7708 & -0.770819 \tabularnewline
76 & 12 & 14.1704 & -2.17035 \tabularnewline
77 & 17 & 14.058 & 2.94198 \tabularnewline
78 & 13 & 13.8461 & -0.846116 \tabularnewline
79 & 15 & 13.1138 & 1.8862 \tabularnewline
80 & 13 & 13.8698 & -0.869774 \tabularnewline
81 & 15 & 13.9073 & 1.09275 \tabularnewline
82 & 15 & 13.992 & 1.00795 \tabularnewline
83 & 16 & 13.8046 & 2.19542 \tabularnewline
84 & 15 & 13.6585 & 1.34152 \tabularnewline
85 & 14 & 13.8131 & 0.186869 \tabularnewline
86 & 15 & 13.7724 & 1.22762 \tabularnewline
87 & 14 & 13.8696 & 0.130397 \tabularnewline
88 & 13 & 13.7 & -0.700015 \tabularnewline
89 & 7 & 13.6726 & -6.67264 \tabularnewline
90 & 17 & 13.1287 & 3.87126 \tabularnewline
91 & 13 & 14.109 & -1.10904 \tabularnewline
92 & 15 & 14.0673 & 0.932658 \tabularnewline
93 & 14 & 13.5455 & 0.454461 \tabularnewline
94 & 13 & 13.128 & -0.127963 \tabularnewline
95 & 16 & 14.1052 & 1.89484 \tabularnewline
96 & 12 & 14.0204 & -2.02037 \tabularnewline
97 & 14 & 13.8791 & 0.120899 \tabularnewline
98 & 17 & 14.0015 & 2.99846 \tabularnewline
99 & 15 & 13.518 & 1.482 \tabularnewline
100 & 17 & 14.0722 & 2.92782 \tabularnewline
101 & 12 & 14.0204 & -2.02037 \tabularnewline
102 & 16 & 14.7376 & 1.26243 \tabularnewline
103 & 11 & 13.5455 & -2.54554 \tabularnewline
104 & 15 & 13.9637 & 1.03628 \tabularnewline
105 & 9 & 13.5284 & -4.52844 \tabularnewline
106 & 16 & 14.2315 & 1.76851 \tabularnewline
107 & 15 & 14.2276 & 0.772397 \tabularnewline
108 & 10 & 13.9874 & -3.98738 \tabularnewline
109 & 10 & 13.6375 & -3.63751 \tabularnewline
110 & 15 & 13.7706 & 1.22935 \tabularnewline
111 & 11 & 13.7848 & -2.78481 \tabularnewline
112 & 13 & 14.1465 & -1.14652 \tabularnewline
113 & 14 & 13.2834 & 0.71661 \tabularnewline
114 & 18 & 13.289 & 4.711 \tabularnewline
115 & 16 & 14.3202 & 1.67984 \tabularnewline
116 & 14 & 13.6263 & 0.373721 \tabularnewline
117 & 14 & 13.6593 & 0.340736 \tabularnewline
118 & 14 & 13.354 & 0.645977 \tabularnewline
119 & 14 & 14.0722 & -0.072176 \tabularnewline
120 & 12 & 13.3917 & -1.39167 \tabularnewline
121 & 14 & 13.6719 & 0.328136 \tabularnewline
122 & 15 & 13.5942 & 1.40576 \tabularnewline
123 & 15 & 14.0768 & 0.92316 \tabularnewline
124 & 15 & 13.734 & 1.26605 \tabularnewline
125 & 13 & 13.7848 & -0.784809 \tabularnewline
126 & 17 & 13.8517 & 3.14827 \tabularnewline
127 & 17 & 14.5047 & 2.49531 \tabularnewline
128 & 19 & 13.7291 & 5.27088 \tabularnewline
129 & 15 & 13.2042 & 1.79579 \tabularnewline
130 & 13 & 13.8178 & -0.817794 \tabularnewline
131 & 9 & 12.5982 & -3.59822 \tabularnewline
132 & 15 & 14.157 & 0.84303 \tabularnewline
133 & 15 & 12.8839 & 2.11614 \tabularnewline
134 & 15 & 13.7206 & 1.27943 \tabularnewline
135 & 16 & 13.5644 & 2.43564 \tabularnewline
136 & 11 & 12.9444 & -1.94438 \tabularnewline
137 & 14 & 13.7433 & 0.256723 \tabularnewline
138 & 11 & 12.8988 & -1.8988 \tabularnewline
139 & 15 & 13.223 & 1.77697 \tabularnewline
140 & 13 & 12.9318 & 0.0682164 \tabularnewline
141 & 15 & 13.8366 & 1.16338 \tabularnewline
142 & 16 & 13.649 & 2.35101 \tabularnewline
143 & 14 & 13.9676 & 0.0323924 \tabularnewline
144 & 15 & 13.5966 & 1.40343 \tabularnewline
145 & 16 & 12.9752 & 3.02478 \tabularnewline
146 & 16 & 14.0611 & 1.93888 \tabularnewline
147 & 11 & 13.4718 & -2.4718 \tabularnewline
148 & 12 & 13.7801 & -1.78015 \tabularnewline
149 & 9 & 13.3635 & -4.36352 \tabularnewline
150 & 16 & 13.0598 & 2.94016 \tabularnewline
151 & 13 & 14.0448 & -1.0448 \tabularnewline
152 & 16 & 13.9779 & 2.02212 \tabularnewline
153 & 12 & 14.0297 & -2.02969 \tabularnewline
154 & 9 & 14.2381 & -5.23807 \tabularnewline
155 & 13 & 12.7443 & 0.255678 \tabularnewline
156 & 13 & 14.109 & -1.10904 \tabularnewline
157 & 14 & 13.3587 & 0.641314 \tabularnewline
158 & 19 & 13.7291 & 5.27088 \tabularnewline
159 & 13 & 13.8649 & -0.86494 \tabularnewline
160 & 12 & 13.1994 & -1.19938 \tabularnewline
161 & 13 & 13.4058 & -0.405832 \tabularnewline
162 & 10 & 12.4269 & -2.42689 \tabularnewline
163 & 14 & 12.3807 & 1.61931 \tabularnewline
164 & 16 & 13.634 & 2.36597 \tabularnewline
165 & 10 & 13.2588 & -3.25876 \tabularnewline
166 & 11 & 11.8688 & -0.868824 \tabularnewline
167 & 14 & 12.8357 & 1.16425 \tabularnewline
168 & 12 & 12.0188 & -0.0188078 \tabularnewline
169 & 9 & 12.8837 & -3.88367 \tabularnewline
170 & 9 & 13.1684 & -4.16836 \tabularnewline
171 & 11 & 12.6727 & -1.67272 \tabularnewline
172 & 16 & 13.4652 & 2.53478 \tabularnewline
173 & 9 & 12.88 & -3.87996 \tabularnewline
174 & 13 & 11.7615 & 1.23851 \tabularnewline
175 & 16 & 12.5833 & 3.41674 \tabularnewline
176 & 13 & 13.1175 & -0.117498 \tabularnewline
177 & 9 & 12.7104 & -3.71037 \tabularnewline
178 & 12 & 12.423 & -0.423003 \tabularnewline
179 & 16 & 12.8311 & 3.16892 \tabularnewline
180 & 11 & 12.8187 & -1.81865 \tabularnewline
181 & 14 & 13.4464 & 0.553603 \tabularnewline
182 & 13 & 12.4098 & 0.590207 \tabularnewline
183 & 15 & 13.8159 & 1.18412 \tabularnewline
184 & 14 & 13.2589 & 0.741065 \tabularnewline
185 & 16 & 11.4089 & 4.59106 \tabularnewline
186 & 13 & 13.3145 & -0.314457 \tabularnewline
187 & 14 & 13.5869 & 0.413117 \tabularnewline
188 & 15 & 12.7387 & 2.26131 \tabularnewline
189 & 13 & 12.1413 & 0.85875 \tabularnewline
190 & 11 & 12.4238 & -1.42378 \tabularnewline
191 & 11 & 12.9582 & -1.95819 \tabularnewline
192 & 14 & 13.5877 & 0.412337 \tabularnewline
193 & 15 & 12.5454 & 2.45455 \tabularnewline
194 & 11 & 13.4322 & -2.43224 \tabularnewline
195 & 15 & 12.7048 & 2.29524 \tabularnewline
196 & 12 & 13.3389 & -1.3389 \tabularnewline
197 & 14 & 13.2863 & 0.713694 \tabularnewline
198 & 14 & 13.3663 & 0.633734 \tabularnewline
199 & 8 & 12.9347 & -4.9347 \tabularnewline
200 & 13 & 13.0413 & -0.0412511 \tabularnewline
201 & 9 & 13.1355 & -4.13554 \tabularnewline
202 & 15 & 12.5814 & 2.41864 \tabularnewline
203 & 17 & 12.3956 & 4.60437 \tabularnewline
204 & 13 & 12.5926 & 0.407409 \tabularnewline
205 & 15 & 13.1317 & 1.86834 \tabularnewline
206 & 15 & 13.2023 & 1.79771 \tabularnewline
207 & 14 & 13.4322 & 0.567764 \tabularnewline
208 & 16 & 13.4134 & 2.58659 \tabularnewline
209 & 13 & 12.4993 & 0.50075 \tabularnewline
210 & 16 & 13.1458 & 2.85418 \tabularnewline
211 & 9 & 12.6114 & -3.61142 \tabularnewline
212 & 16 & 13.0494 & 2.95062 \tabularnewline
213 & 11 & 13.1928 & -2.19279 \tabularnewline
214 & 10 & 12.9951 & -2.99506 \tabularnewline
215 & 11 & 13.3946 & -2.39459 \tabularnewline
216 & 15 & 12.6192 & 2.38082 \tabularnewline
217 & 17 & 13.5068 & 3.49325 \tabularnewline
218 & 14 & 13.1514 & 0.848567 \tabularnewline
219 & 8 & 12.8932 & -4.89317 \tabularnewline
220 & 15 & 13.3247 & 1.67527 \tabularnewline
221 & 11 & 12.8225 & -1.82253 \tabularnewline
222 & 16 & 13.1561 & 2.8439 \tabularnewline
223 & 10 & 13.094 & -3.09401 \tabularnewline
224 & 15 & 12.4936 & 2.50636 \tabularnewline
225 & 9 & 12.846 & -3.84602 \tabularnewline
226 & 16 & 11.8894 & 4.11062 \tabularnewline
227 & 19 & 12.8499 & 6.15009 \tabularnewline
228 & 12 & 12.9535 & -0.953524 \tabularnewline
229 & 8 & 12.4333 & -4.43328 \tabularnewline
230 & 11 & 12.6491 & -1.64906 \tabularnewline
231 & 14 & 12.7331 & 1.26692 \tabularnewline
232 & 9 & 12.3163 & -3.31628 \tabularnewline
233 & 15 & 13.2768 & 1.72319 \tabularnewline
234 & 13 & 13.9111 & -0.911118 \tabularnewline
235 & 16 & 12.7707 & 3.22927 \tabularnewline
236 & 11 & 12.4616 & -1.4616 \tabularnewline
237 & 12 & 11.2288 & 0.771181 \tabularnewline
238 & 13 & 12.7426 & 0.257425 \tabularnewline
239 & 10 & 13.1214 & -3.12138 \tabularnewline
240 & 11 & 12.2976 & -1.29763 \tabularnewline
241 & 12 & 12.3617 & -0.361697 \tabularnewline
242 & 8 & 12.682 & -4.68205 \tabularnewline
243 & 12 & 11.9631 & 0.0368847 \tabularnewline
244 & 12 & 12.8225 & -0.822535 \tabularnewline
245 & 15 & 13.2071 & 1.79287 \tabularnewline
246 & 11 & 12.4841 & -1.48414 \tabularnewline
247 & 13 & 12.9394 & 0.0606366 \tabularnewline
248 & 14 & 12.3023 & 1.69771 \tabularnewline
249 & 10 & 11.8908 & -1.89075 \tabularnewline
250 & 12 & 11.9379 & 0.0621027 \tabularnewline
251 & 15 & 12.3531 & 2.64685 \tabularnewline
252 & 13 & 12.2033 & 0.796664 \tabularnewline
253 & 13 & 12.6962 & 0.303791 \tabularnewline
254 & 13 & 13.2721 & -0.272145 \tabularnewline
255 & 12 & 12.7104 & -0.71037 \tabularnewline
256 & 12 & 12.9677 & -0.967685 \tabularnewline
257 & 9 & 13.4322 & -4.43224 \tabularnewline
258 & 9 & 12.8499 & -3.84991 \tabularnewline
259 & 15 & 12.9073 & 2.09267 \tabularnewline
260 & 10 & 11.1628 & -1.16285 \tabularnewline
261 & 14 & 12.8585 & 1.14155 \tabularnewline
262 & 15 & 12.5274 & 2.4726 \tabularnewline
263 & 7 & 12.6877 & -5.68766 \tabularnewline
264 & 14 & 12.7839 & 1.21606 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226205&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]14[/C][C]14.2342[/C][C]-0.234184[/C][/ROW]
[ROW][C]2[/C][C]18[/C][C]14.5897[/C][C]3.41033[/C][/ROW]
[ROW][C]3[/C][C]11[/C][C]14.8837[/C][C]-3.88369[/C][/ROW]
[ROW][C]4[/C][C]12[/C][C]14.1665[/C][C]-2.16648[/C][/ROW]
[ROW][C]5[/C][C]16[/C][C]14.1626[/C][C]1.8374[/C][/ROW]
[ROW][C]6[/C][C]18[/C][C]13.8669[/C][C]4.13314[/C][/ROW]
[ROW][C]7[/C][C]14[/C][C]15.1053[/C][C]-1.10525[/C][/ROW]
[ROW][C]8[/C][C]14[/C][C]14.3219[/C][C]-0.321911[/C][/ROW]
[ROW][C]9[/C][C]15[/C][C]14.1909[/C][C]0.809078[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]14.4585[/C][C]0.541486[/C][/ROW]
[ROW][C]11[/C][C]17[/C][C]14.5379[/C][C]2.46214[/C][/ROW]
[ROW][C]12[/C][C]19[/C][C]14.5284[/C][C]4.47163[/C][/ROW]
[ROW][C]13[/C][C]10[/C][C]14.6132[/C][C]-4.61316[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]14.7026[/C][C]1.29738[/C][/ROW]
[ROW][C]15[/C][C]18[/C][C]14.664[/C][C]3.33598[/C][/ROW]
[ROW][C]16[/C][C]14[/C][C]14.1995[/C][C]-0.199469[/C][/ROW]
[ROW][C]17[/C][C]14[/C][C]14.3126[/C][C]-0.312584[/C][/ROW]
[ROW][C]18[/C][C]17[/C][C]15.3822[/C][C]1.61783[/C][/ROW]
[ROW][C]19[/C][C]14[/C][C]15.0589[/C][C]-1.05889[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]14.3588[/C][C]1.64122[/C][/ROW]
[ROW][C]21[/C][C]18[/C][C]14.3776[/C][C]3.6224[/C][/ROW]
[ROW][C]22[/C][C]11[/C][C]14.307[/C][C]-3.30697[/C][/ROW]
[ROW][C]23[/C][C]14[/C][C]15.237[/C][C]-1.23702[/C][/ROW]
[ROW][C]24[/C][C]12[/C][C]14.6555[/C][C]-2.65547[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]14.7678[/C][C]2.23219[/C][/ROW]
[ROW][C]26[/C][C]9[/C][C]14.8338[/C][C]-5.83378[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]14.5472[/C][C]1.45281[/C][/ROW]
[ROW][C]28[/C][C]14[/C][C]14.3078[/C][C]-0.30775[/C][/ROW]
[ROW][C]29[/C][C]15[/C][C]14.4106[/C][C]0.589411[/C][/ROW]
[ROW][C]30[/C][C]11[/C][C]14.0873[/C][C]-3.0873[/C][/ROW]
[ROW][C]31[/C][C]16[/C][C]14.1288[/C][C]1.87116[/C][/ROW]
[ROW][C]32[/C][C]13[/C][C]13.4813[/C][C]-0.481316[/C][/ROW]
[ROW][C]33[/C][C]17[/C][C]14.1486[/C][C]2.85139[/C][/ROW]
[ROW][C]34[/C][C]15[/C][C]14.5189[/C][C]0.48113[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]14.0308[/C][C]-0.0308314[/C][/ROW]
[ROW][C]36[/C][C]16[/C][C]13.3088[/C][C]2.69121[/C][/ROW]
[ROW][C]37[/C][C]9[/C][C]13.1722[/C][C]-4.17219[/C][/ROW]
[ROW][C]38[/C][C]15[/C][C]14.1533[/C][C]0.846726[/C][/ROW]
[ROW][C]39[/C][C]17[/C][C]14.241[/C][C]2.759[/C][/ROW]
[ROW][C]40[/C][C]13[/C][C]14.4766[/C][C]-1.47656[/C][/ROW]
[ROW][C]41[/C][C]15[/C][C]14.5237[/C][C]0.476296[/C][/ROW]
[ROW][C]42[/C][C]16[/C][C]14.0873[/C][C]1.9127[/C][/ROW]
[ROW][C]43[/C][C]16[/C][C]15.2692[/C][C]0.730772[/C][/ROW]
[ROW][C]44[/C][C]12[/C][C]14.1203[/C][C]-2.12029[/C][/ROW]
[ROW][C]45[/C][C]15[/C][C]14.1251[/C][C]0.874877[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]13.6895[/C][C]-2.6895[/C][/ROW]
[ROW][C]47[/C][C]15[/C][C]14.3322[/C][C]0.667812[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.2513[/C][C]0.748722[/C][/ROW]
[ROW][C]49[/C][C]17[/C][C]14.6037[/C][C]2.39634[/C][/ROW]
[ROW][C]50[/C][C]13[/C][C]14.2004[/C][C]-1.20042[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]14.4717[/C][C]1.52828[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]13.9649[/C][C]0.0351384[/C][/ROW]
[ROW][C]53[/C][C]11[/C][C]13.6651[/C][C]-2.66506[/C][/ROW]
[ROW][C]54[/C][C]12[/C][C]14.5377[/C][C]-2.53769[/C][/ROW]
[ROW][C]55[/C][C]12[/C][C]13.1118[/C][C]-1.11184[/C][/ROW]
[ROW][C]56[/C][C]15[/C][C]14.2239[/C][C]0.776093[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]14.6273[/C][C]1.37268[/C][/ROW]
[ROW][C]58[/C][C]15[/C][C]14.2975[/C][C]0.702527[/C][/ROW]
[ROW][C]59[/C][C]12[/C][C]14.4209[/C][C]-2.42087[/C][/ROW]
[ROW][C]60[/C][C]12[/C][C]14.4954[/C][C]-2.49538[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]13.505[/C][C]-5.50497[/C][/ROW]
[ROW][C]62[/C][C]13[/C][C]14.5943[/C][C]-1.59434[/C][/ROW]
[ROW][C]63[/C][C]11[/C][C]14.4812[/C][C]-3.48122[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]14.026[/C][C]-0.0259976[/C][/ROW]
[ROW][C]65[/C][C]15[/C][C]14.4059[/C][C]0.594075[/C][/ROW]
[ROW][C]66[/C][C]10[/C][C]14.1702[/C][C]-4.17018[/C][/ROW]
[ROW][C]67[/C][C]11[/C][C]14.3437[/C][C]-3.34365[/C][/ROW]
[ROW][C]68[/C][C]12[/C][C]13.9951[/C][C]-1.99515[/C][/ROW]
[ROW][C]69[/C][C]15[/C][C]13.4679[/C][C]1.53208[/C][/ROW]
[ROW][C]70[/C][C]15[/C][C]13.992[/C][C]1.00795[/C][/ROW]
[ROW][C]71[/C][C]14[/C][C]13.0034[/C][C]0.996633[/C][/ROW]
[ROW][C]72[/C][C]16[/C][C]13.5227[/C][C]2.47734[/C][/ROW]
[ROW][C]73[/C][C]15[/C][C]14.353[/C][C]0.647021[/C][/ROW]
[ROW][C]74[/C][C]15[/C][C]14.5226[/C][C]0.477433[/C][/ROW]
[ROW][C]75[/C][C]13[/C][C]13.7708[/C][C]-0.770819[/C][/ROW]
[ROW][C]76[/C][C]12[/C][C]14.1704[/C][C]-2.17035[/C][/ROW]
[ROW][C]77[/C][C]17[/C][C]14.058[/C][C]2.94198[/C][/ROW]
[ROW][C]78[/C][C]13[/C][C]13.8461[/C][C]-0.846116[/C][/ROW]
[ROW][C]79[/C][C]15[/C][C]13.1138[/C][C]1.8862[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]13.8698[/C][C]-0.869774[/C][/ROW]
[ROW][C]81[/C][C]15[/C][C]13.9073[/C][C]1.09275[/C][/ROW]
[ROW][C]82[/C][C]15[/C][C]13.992[/C][C]1.00795[/C][/ROW]
[ROW][C]83[/C][C]16[/C][C]13.8046[/C][C]2.19542[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]13.6585[/C][C]1.34152[/C][/ROW]
[ROW][C]85[/C][C]14[/C][C]13.8131[/C][C]0.186869[/C][/ROW]
[ROW][C]86[/C][C]15[/C][C]13.7724[/C][C]1.22762[/C][/ROW]
[ROW][C]87[/C][C]14[/C][C]13.8696[/C][C]0.130397[/C][/ROW]
[ROW][C]88[/C][C]13[/C][C]13.7[/C][C]-0.700015[/C][/ROW]
[ROW][C]89[/C][C]7[/C][C]13.6726[/C][C]-6.67264[/C][/ROW]
[ROW][C]90[/C][C]17[/C][C]13.1287[/C][C]3.87126[/C][/ROW]
[ROW][C]91[/C][C]13[/C][C]14.109[/C][C]-1.10904[/C][/ROW]
[ROW][C]92[/C][C]15[/C][C]14.0673[/C][C]0.932658[/C][/ROW]
[ROW][C]93[/C][C]14[/C][C]13.5455[/C][C]0.454461[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]13.128[/C][C]-0.127963[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]14.1052[/C][C]1.89484[/C][/ROW]
[ROW][C]96[/C][C]12[/C][C]14.0204[/C][C]-2.02037[/C][/ROW]
[ROW][C]97[/C][C]14[/C][C]13.8791[/C][C]0.120899[/C][/ROW]
[ROW][C]98[/C][C]17[/C][C]14.0015[/C][C]2.99846[/C][/ROW]
[ROW][C]99[/C][C]15[/C][C]13.518[/C][C]1.482[/C][/ROW]
[ROW][C]100[/C][C]17[/C][C]14.0722[/C][C]2.92782[/C][/ROW]
[ROW][C]101[/C][C]12[/C][C]14.0204[/C][C]-2.02037[/C][/ROW]
[ROW][C]102[/C][C]16[/C][C]14.7376[/C][C]1.26243[/C][/ROW]
[ROW][C]103[/C][C]11[/C][C]13.5455[/C][C]-2.54554[/C][/ROW]
[ROW][C]104[/C][C]15[/C][C]13.9637[/C][C]1.03628[/C][/ROW]
[ROW][C]105[/C][C]9[/C][C]13.5284[/C][C]-4.52844[/C][/ROW]
[ROW][C]106[/C][C]16[/C][C]14.2315[/C][C]1.76851[/C][/ROW]
[ROW][C]107[/C][C]15[/C][C]14.2276[/C][C]0.772397[/C][/ROW]
[ROW][C]108[/C][C]10[/C][C]13.9874[/C][C]-3.98738[/C][/ROW]
[ROW][C]109[/C][C]10[/C][C]13.6375[/C][C]-3.63751[/C][/ROW]
[ROW][C]110[/C][C]15[/C][C]13.7706[/C][C]1.22935[/C][/ROW]
[ROW][C]111[/C][C]11[/C][C]13.7848[/C][C]-2.78481[/C][/ROW]
[ROW][C]112[/C][C]13[/C][C]14.1465[/C][C]-1.14652[/C][/ROW]
[ROW][C]113[/C][C]14[/C][C]13.2834[/C][C]0.71661[/C][/ROW]
[ROW][C]114[/C][C]18[/C][C]13.289[/C][C]4.711[/C][/ROW]
[ROW][C]115[/C][C]16[/C][C]14.3202[/C][C]1.67984[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]13.6263[/C][C]0.373721[/C][/ROW]
[ROW][C]117[/C][C]14[/C][C]13.6593[/C][C]0.340736[/C][/ROW]
[ROW][C]118[/C][C]14[/C][C]13.354[/C][C]0.645977[/C][/ROW]
[ROW][C]119[/C][C]14[/C][C]14.0722[/C][C]-0.072176[/C][/ROW]
[ROW][C]120[/C][C]12[/C][C]13.3917[/C][C]-1.39167[/C][/ROW]
[ROW][C]121[/C][C]14[/C][C]13.6719[/C][C]0.328136[/C][/ROW]
[ROW][C]122[/C][C]15[/C][C]13.5942[/C][C]1.40576[/C][/ROW]
[ROW][C]123[/C][C]15[/C][C]14.0768[/C][C]0.92316[/C][/ROW]
[ROW][C]124[/C][C]15[/C][C]13.734[/C][C]1.26605[/C][/ROW]
[ROW][C]125[/C][C]13[/C][C]13.7848[/C][C]-0.784809[/C][/ROW]
[ROW][C]126[/C][C]17[/C][C]13.8517[/C][C]3.14827[/C][/ROW]
[ROW][C]127[/C][C]17[/C][C]14.5047[/C][C]2.49531[/C][/ROW]
[ROW][C]128[/C][C]19[/C][C]13.7291[/C][C]5.27088[/C][/ROW]
[ROW][C]129[/C][C]15[/C][C]13.2042[/C][C]1.79579[/C][/ROW]
[ROW][C]130[/C][C]13[/C][C]13.8178[/C][C]-0.817794[/C][/ROW]
[ROW][C]131[/C][C]9[/C][C]12.5982[/C][C]-3.59822[/C][/ROW]
[ROW][C]132[/C][C]15[/C][C]14.157[/C][C]0.84303[/C][/ROW]
[ROW][C]133[/C][C]15[/C][C]12.8839[/C][C]2.11614[/C][/ROW]
[ROW][C]134[/C][C]15[/C][C]13.7206[/C][C]1.27943[/C][/ROW]
[ROW][C]135[/C][C]16[/C][C]13.5644[/C][C]2.43564[/C][/ROW]
[ROW][C]136[/C][C]11[/C][C]12.9444[/C][C]-1.94438[/C][/ROW]
[ROW][C]137[/C][C]14[/C][C]13.7433[/C][C]0.256723[/C][/ROW]
[ROW][C]138[/C][C]11[/C][C]12.8988[/C][C]-1.8988[/C][/ROW]
[ROW][C]139[/C][C]15[/C][C]13.223[/C][C]1.77697[/C][/ROW]
[ROW][C]140[/C][C]13[/C][C]12.9318[/C][C]0.0682164[/C][/ROW]
[ROW][C]141[/C][C]15[/C][C]13.8366[/C][C]1.16338[/C][/ROW]
[ROW][C]142[/C][C]16[/C][C]13.649[/C][C]2.35101[/C][/ROW]
[ROW][C]143[/C][C]14[/C][C]13.9676[/C][C]0.0323924[/C][/ROW]
[ROW][C]144[/C][C]15[/C][C]13.5966[/C][C]1.40343[/C][/ROW]
[ROW][C]145[/C][C]16[/C][C]12.9752[/C][C]3.02478[/C][/ROW]
[ROW][C]146[/C][C]16[/C][C]14.0611[/C][C]1.93888[/C][/ROW]
[ROW][C]147[/C][C]11[/C][C]13.4718[/C][C]-2.4718[/C][/ROW]
[ROW][C]148[/C][C]12[/C][C]13.7801[/C][C]-1.78015[/C][/ROW]
[ROW][C]149[/C][C]9[/C][C]13.3635[/C][C]-4.36352[/C][/ROW]
[ROW][C]150[/C][C]16[/C][C]13.0598[/C][C]2.94016[/C][/ROW]
[ROW][C]151[/C][C]13[/C][C]14.0448[/C][C]-1.0448[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]13.9779[/C][C]2.02212[/C][/ROW]
[ROW][C]153[/C][C]12[/C][C]14.0297[/C][C]-2.02969[/C][/ROW]
[ROW][C]154[/C][C]9[/C][C]14.2381[/C][C]-5.23807[/C][/ROW]
[ROW][C]155[/C][C]13[/C][C]12.7443[/C][C]0.255678[/C][/ROW]
[ROW][C]156[/C][C]13[/C][C]14.109[/C][C]-1.10904[/C][/ROW]
[ROW][C]157[/C][C]14[/C][C]13.3587[/C][C]0.641314[/C][/ROW]
[ROW][C]158[/C][C]19[/C][C]13.7291[/C][C]5.27088[/C][/ROW]
[ROW][C]159[/C][C]13[/C][C]13.8649[/C][C]-0.86494[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]13.1994[/C][C]-1.19938[/C][/ROW]
[ROW][C]161[/C][C]13[/C][C]13.4058[/C][C]-0.405832[/C][/ROW]
[ROW][C]162[/C][C]10[/C][C]12.4269[/C][C]-2.42689[/C][/ROW]
[ROW][C]163[/C][C]14[/C][C]12.3807[/C][C]1.61931[/C][/ROW]
[ROW][C]164[/C][C]16[/C][C]13.634[/C][C]2.36597[/C][/ROW]
[ROW][C]165[/C][C]10[/C][C]13.2588[/C][C]-3.25876[/C][/ROW]
[ROW][C]166[/C][C]11[/C][C]11.8688[/C][C]-0.868824[/C][/ROW]
[ROW][C]167[/C][C]14[/C][C]12.8357[/C][C]1.16425[/C][/ROW]
[ROW][C]168[/C][C]12[/C][C]12.0188[/C][C]-0.0188078[/C][/ROW]
[ROW][C]169[/C][C]9[/C][C]12.8837[/C][C]-3.88367[/C][/ROW]
[ROW][C]170[/C][C]9[/C][C]13.1684[/C][C]-4.16836[/C][/ROW]
[ROW][C]171[/C][C]11[/C][C]12.6727[/C][C]-1.67272[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]13.4652[/C][C]2.53478[/C][/ROW]
[ROW][C]173[/C][C]9[/C][C]12.88[/C][C]-3.87996[/C][/ROW]
[ROW][C]174[/C][C]13[/C][C]11.7615[/C][C]1.23851[/C][/ROW]
[ROW][C]175[/C][C]16[/C][C]12.5833[/C][C]3.41674[/C][/ROW]
[ROW][C]176[/C][C]13[/C][C]13.1175[/C][C]-0.117498[/C][/ROW]
[ROW][C]177[/C][C]9[/C][C]12.7104[/C][C]-3.71037[/C][/ROW]
[ROW][C]178[/C][C]12[/C][C]12.423[/C][C]-0.423003[/C][/ROW]
[ROW][C]179[/C][C]16[/C][C]12.8311[/C][C]3.16892[/C][/ROW]
[ROW][C]180[/C][C]11[/C][C]12.8187[/C][C]-1.81865[/C][/ROW]
[ROW][C]181[/C][C]14[/C][C]13.4464[/C][C]0.553603[/C][/ROW]
[ROW][C]182[/C][C]13[/C][C]12.4098[/C][C]0.590207[/C][/ROW]
[ROW][C]183[/C][C]15[/C][C]13.8159[/C][C]1.18412[/C][/ROW]
[ROW][C]184[/C][C]14[/C][C]13.2589[/C][C]0.741065[/C][/ROW]
[ROW][C]185[/C][C]16[/C][C]11.4089[/C][C]4.59106[/C][/ROW]
[ROW][C]186[/C][C]13[/C][C]13.3145[/C][C]-0.314457[/C][/ROW]
[ROW][C]187[/C][C]14[/C][C]13.5869[/C][C]0.413117[/C][/ROW]
[ROW][C]188[/C][C]15[/C][C]12.7387[/C][C]2.26131[/C][/ROW]
[ROW][C]189[/C][C]13[/C][C]12.1413[/C][C]0.85875[/C][/ROW]
[ROW][C]190[/C][C]11[/C][C]12.4238[/C][C]-1.42378[/C][/ROW]
[ROW][C]191[/C][C]11[/C][C]12.9582[/C][C]-1.95819[/C][/ROW]
[ROW][C]192[/C][C]14[/C][C]13.5877[/C][C]0.412337[/C][/ROW]
[ROW][C]193[/C][C]15[/C][C]12.5454[/C][C]2.45455[/C][/ROW]
[ROW][C]194[/C][C]11[/C][C]13.4322[/C][C]-2.43224[/C][/ROW]
[ROW][C]195[/C][C]15[/C][C]12.7048[/C][C]2.29524[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]13.3389[/C][C]-1.3389[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]13.2863[/C][C]0.713694[/C][/ROW]
[ROW][C]198[/C][C]14[/C][C]13.3663[/C][C]0.633734[/C][/ROW]
[ROW][C]199[/C][C]8[/C][C]12.9347[/C][C]-4.9347[/C][/ROW]
[ROW][C]200[/C][C]13[/C][C]13.0413[/C][C]-0.0412511[/C][/ROW]
[ROW][C]201[/C][C]9[/C][C]13.1355[/C][C]-4.13554[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]12.5814[/C][C]2.41864[/C][/ROW]
[ROW][C]203[/C][C]17[/C][C]12.3956[/C][C]4.60437[/C][/ROW]
[ROW][C]204[/C][C]13[/C][C]12.5926[/C][C]0.407409[/C][/ROW]
[ROW][C]205[/C][C]15[/C][C]13.1317[/C][C]1.86834[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]13.2023[/C][C]1.79771[/C][/ROW]
[ROW][C]207[/C][C]14[/C][C]13.4322[/C][C]0.567764[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]13.4134[/C][C]2.58659[/C][/ROW]
[ROW][C]209[/C][C]13[/C][C]12.4993[/C][C]0.50075[/C][/ROW]
[ROW][C]210[/C][C]16[/C][C]13.1458[/C][C]2.85418[/C][/ROW]
[ROW][C]211[/C][C]9[/C][C]12.6114[/C][C]-3.61142[/C][/ROW]
[ROW][C]212[/C][C]16[/C][C]13.0494[/C][C]2.95062[/C][/ROW]
[ROW][C]213[/C][C]11[/C][C]13.1928[/C][C]-2.19279[/C][/ROW]
[ROW][C]214[/C][C]10[/C][C]12.9951[/C][C]-2.99506[/C][/ROW]
[ROW][C]215[/C][C]11[/C][C]13.3946[/C][C]-2.39459[/C][/ROW]
[ROW][C]216[/C][C]15[/C][C]12.6192[/C][C]2.38082[/C][/ROW]
[ROW][C]217[/C][C]17[/C][C]13.5068[/C][C]3.49325[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]13.1514[/C][C]0.848567[/C][/ROW]
[ROW][C]219[/C][C]8[/C][C]12.8932[/C][C]-4.89317[/C][/ROW]
[ROW][C]220[/C][C]15[/C][C]13.3247[/C][C]1.67527[/C][/ROW]
[ROW][C]221[/C][C]11[/C][C]12.8225[/C][C]-1.82253[/C][/ROW]
[ROW][C]222[/C][C]16[/C][C]13.1561[/C][C]2.8439[/C][/ROW]
[ROW][C]223[/C][C]10[/C][C]13.094[/C][C]-3.09401[/C][/ROW]
[ROW][C]224[/C][C]15[/C][C]12.4936[/C][C]2.50636[/C][/ROW]
[ROW][C]225[/C][C]9[/C][C]12.846[/C][C]-3.84602[/C][/ROW]
[ROW][C]226[/C][C]16[/C][C]11.8894[/C][C]4.11062[/C][/ROW]
[ROW][C]227[/C][C]19[/C][C]12.8499[/C][C]6.15009[/C][/ROW]
[ROW][C]228[/C][C]12[/C][C]12.9535[/C][C]-0.953524[/C][/ROW]
[ROW][C]229[/C][C]8[/C][C]12.4333[/C][C]-4.43328[/C][/ROW]
[ROW][C]230[/C][C]11[/C][C]12.6491[/C][C]-1.64906[/C][/ROW]
[ROW][C]231[/C][C]14[/C][C]12.7331[/C][C]1.26692[/C][/ROW]
[ROW][C]232[/C][C]9[/C][C]12.3163[/C][C]-3.31628[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]13.2768[/C][C]1.72319[/C][/ROW]
[ROW][C]234[/C][C]13[/C][C]13.9111[/C][C]-0.911118[/C][/ROW]
[ROW][C]235[/C][C]16[/C][C]12.7707[/C][C]3.22927[/C][/ROW]
[ROW][C]236[/C][C]11[/C][C]12.4616[/C][C]-1.4616[/C][/ROW]
[ROW][C]237[/C][C]12[/C][C]11.2288[/C][C]0.771181[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]12.7426[/C][C]0.257425[/C][/ROW]
[ROW][C]239[/C][C]10[/C][C]13.1214[/C][C]-3.12138[/C][/ROW]
[ROW][C]240[/C][C]11[/C][C]12.2976[/C][C]-1.29763[/C][/ROW]
[ROW][C]241[/C][C]12[/C][C]12.3617[/C][C]-0.361697[/C][/ROW]
[ROW][C]242[/C][C]8[/C][C]12.682[/C][C]-4.68205[/C][/ROW]
[ROW][C]243[/C][C]12[/C][C]11.9631[/C][C]0.0368847[/C][/ROW]
[ROW][C]244[/C][C]12[/C][C]12.8225[/C][C]-0.822535[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]13.2071[/C][C]1.79287[/C][/ROW]
[ROW][C]246[/C][C]11[/C][C]12.4841[/C][C]-1.48414[/C][/ROW]
[ROW][C]247[/C][C]13[/C][C]12.9394[/C][C]0.0606366[/C][/ROW]
[ROW][C]248[/C][C]14[/C][C]12.3023[/C][C]1.69771[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]11.8908[/C][C]-1.89075[/C][/ROW]
[ROW][C]250[/C][C]12[/C][C]11.9379[/C][C]0.0621027[/C][/ROW]
[ROW][C]251[/C][C]15[/C][C]12.3531[/C][C]2.64685[/C][/ROW]
[ROW][C]252[/C][C]13[/C][C]12.2033[/C][C]0.796664[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]12.6962[/C][C]0.303791[/C][/ROW]
[ROW][C]254[/C][C]13[/C][C]13.2721[/C][C]-0.272145[/C][/ROW]
[ROW][C]255[/C][C]12[/C][C]12.7104[/C][C]-0.71037[/C][/ROW]
[ROW][C]256[/C][C]12[/C][C]12.9677[/C][C]-0.967685[/C][/ROW]
[ROW][C]257[/C][C]9[/C][C]13.4322[/C][C]-4.43224[/C][/ROW]
[ROW][C]258[/C][C]9[/C][C]12.8499[/C][C]-3.84991[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]12.9073[/C][C]2.09267[/C][/ROW]
[ROW][C]260[/C][C]10[/C][C]11.1628[/C][C]-1.16285[/C][/ROW]
[ROW][C]261[/C][C]14[/C][C]12.8585[/C][C]1.14155[/C][/ROW]
[ROW][C]262[/C][C]15[/C][C]12.5274[/C][C]2.4726[/C][/ROW]
[ROW][C]263[/C][C]7[/C][C]12.6877[/C][C]-5.68766[/C][/ROW]
[ROW][C]264[/C][C]14[/C][C]12.7839[/C][C]1.21606[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226205&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226205&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
11414.2342-0.234184
21814.58973.41033
31114.8837-3.88369
41214.1665-2.16648
51614.16261.8374
61813.86694.13314
71415.1053-1.10525
81414.3219-0.321911
91514.19090.809078
101514.45850.541486
111714.53792.46214
121914.52844.47163
131014.6132-4.61316
141614.70261.29738
151814.6643.33598
161414.1995-0.199469
171414.3126-0.312584
181715.38221.61783
191415.0589-1.05889
201614.35881.64122
211814.37763.6224
221114.307-3.30697
231415.237-1.23702
241214.6555-2.65547
251714.76782.23219
26914.8338-5.83378
271614.54721.45281
281414.3078-0.30775
291514.41060.589411
301114.0873-3.0873
311614.12881.87116
321313.4813-0.481316
331714.14862.85139
341514.51890.48113
351414.0308-0.0308314
361613.30882.69121
37913.1722-4.17219
381514.15330.846726
391714.2412.759
401314.4766-1.47656
411514.52370.476296
421614.08731.9127
431615.26920.730772
441214.1203-2.12029
451514.12510.874877
461113.6895-2.6895
471514.33220.667812
481514.25130.748722
491714.60372.39634
501314.2004-1.20042
511614.47171.52828
521413.96490.0351384
531113.6651-2.66506
541214.5377-2.53769
551213.1118-1.11184
561514.22390.776093
571614.62731.37268
581514.29750.702527
591214.4209-2.42087
601214.4954-2.49538
61813.505-5.50497
621314.5943-1.59434
631114.4812-3.48122
641414.026-0.0259976
651514.40590.594075
661014.1702-4.17018
671114.3437-3.34365
681213.9951-1.99515
691513.46791.53208
701513.9921.00795
711413.00340.996633
721613.52272.47734
731514.3530.647021
741514.52260.477433
751313.7708-0.770819
761214.1704-2.17035
771714.0582.94198
781313.8461-0.846116
791513.11381.8862
801313.8698-0.869774
811513.90731.09275
821513.9921.00795
831613.80462.19542
841513.65851.34152
851413.81310.186869
861513.77241.22762
871413.86960.130397
881313.7-0.700015
89713.6726-6.67264
901713.12873.87126
911314.109-1.10904
921514.06730.932658
931413.54550.454461
941313.128-0.127963
951614.10521.89484
961214.0204-2.02037
971413.87910.120899
981714.00152.99846
991513.5181.482
1001714.07222.92782
1011214.0204-2.02037
1021614.73761.26243
1031113.5455-2.54554
1041513.96371.03628
105913.5284-4.52844
1061614.23151.76851
1071514.22760.772397
1081013.9874-3.98738
1091013.6375-3.63751
1101513.77061.22935
1111113.7848-2.78481
1121314.1465-1.14652
1131413.28340.71661
1141813.2894.711
1151614.32021.67984
1161413.62630.373721
1171413.65930.340736
1181413.3540.645977
1191414.0722-0.072176
1201213.3917-1.39167
1211413.67190.328136
1221513.59421.40576
1231514.07680.92316
1241513.7341.26605
1251313.7848-0.784809
1261713.85173.14827
1271714.50472.49531
1281913.72915.27088
1291513.20421.79579
1301313.8178-0.817794
131912.5982-3.59822
1321514.1570.84303
1331512.88392.11614
1341513.72061.27943
1351613.56442.43564
1361112.9444-1.94438
1371413.74330.256723
1381112.8988-1.8988
1391513.2231.77697
1401312.93180.0682164
1411513.83661.16338
1421613.6492.35101
1431413.96760.0323924
1441513.59661.40343
1451612.97523.02478
1461614.06111.93888
1471113.4718-2.4718
1481213.7801-1.78015
149913.3635-4.36352
1501613.05982.94016
1511314.0448-1.0448
1521613.97792.02212
1531214.0297-2.02969
154914.2381-5.23807
1551312.74430.255678
1561314.109-1.10904
1571413.35870.641314
1581913.72915.27088
1591313.8649-0.86494
1601213.1994-1.19938
1611313.4058-0.405832
1621012.4269-2.42689
1631412.38071.61931
1641613.6342.36597
1651013.2588-3.25876
1661111.8688-0.868824
1671412.83571.16425
1681212.0188-0.0188078
169912.8837-3.88367
170913.1684-4.16836
1711112.6727-1.67272
1721613.46522.53478
173912.88-3.87996
1741311.76151.23851
1751612.58333.41674
1761313.1175-0.117498
177912.7104-3.71037
1781212.423-0.423003
1791612.83113.16892
1801112.8187-1.81865
1811413.44640.553603
1821312.40980.590207
1831513.81591.18412
1841413.25890.741065
1851611.40894.59106
1861313.3145-0.314457
1871413.58690.413117
1881512.73872.26131
1891312.14130.85875
1901112.4238-1.42378
1911112.9582-1.95819
1921413.58770.412337
1931512.54542.45455
1941113.4322-2.43224
1951512.70482.29524
1961213.3389-1.3389
1971413.28630.713694
1981413.36630.633734
199812.9347-4.9347
2001313.0413-0.0412511
201913.1355-4.13554
2021512.58142.41864
2031712.39564.60437
2041312.59260.407409
2051513.13171.86834
2061513.20231.79771
2071413.43220.567764
2081613.41342.58659
2091312.49930.50075
2101613.14582.85418
211912.6114-3.61142
2121613.04942.95062
2131113.1928-2.19279
2141012.9951-2.99506
2151113.3946-2.39459
2161512.61922.38082
2171713.50683.49325
2181413.15140.848567
219812.8932-4.89317
2201513.32471.67527
2211112.8225-1.82253
2221613.15612.8439
2231013.094-3.09401
2241512.49362.50636
225912.846-3.84602
2261611.88944.11062
2271912.84996.15009
2281212.9535-0.953524
229812.4333-4.43328
2301112.6491-1.64906
2311412.73311.26692
232912.3163-3.31628
2331513.27681.72319
2341313.9111-0.911118
2351612.77073.22927
2361112.4616-1.4616
2371211.22880.771181
2381312.74260.257425
2391013.1214-3.12138
2401112.2976-1.29763
2411212.3617-0.361697
242812.682-4.68205
2431211.96310.0368847
2441212.8225-0.822535
2451513.20711.79287
2461112.4841-1.48414
2471312.93940.0606366
2481412.30231.69771
2491011.8908-1.89075
2501211.93790.0621027
2511512.35312.64685
2521312.20330.796664
2531312.69620.303791
2541313.2721-0.272145
2551212.7104-0.71037
2561212.9677-0.967685
257913.4322-4.43224
258912.8499-3.84991
2591512.90732.09267
2601011.1628-1.16285
2611412.85851.14155
2621512.52742.4726
263712.6877-5.68766
2641412.78391.21606






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.6042740.7914520.395726
90.4374820.8749640.562518
100.3315630.6631260.668437
110.2311050.4622090.768895
120.4984210.9968410.501579
130.7775550.444890.222445
140.7528980.4942040.247102
150.8870270.2259450.112973
160.8468950.306210.153105
170.8147210.3705570.185279
180.8152370.3695260.184763
190.7710970.4578060.228903
200.7282380.5435230.271762
210.7631920.4736170.236808
220.8248550.350290.175145
230.7840730.4318530.215927
240.7858340.4283320.214166
250.7487580.5024840.251242
260.9361230.1277540.0638768
270.9203480.1593030.0796517
280.8973020.2053950.102698
290.8688030.2623940.131197
300.9024680.1950640.0975322
310.8840580.2318840.115942
320.8639590.2720820.136041
330.853010.293980.14699
340.8215420.3569150.178458
350.7893360.4213280.210664
360.7630550.473890.236945
370.8704170.2591660.129583
380.8422650.3154710.157735
390.8490270.3019460.150973
400.8319050.336190.168095
410.7988760.4022480.201124
420.7783170.4433660.221683
430.7426310.5147380.257369
440.7414690.5170620.258531
450.7026330.5947350.297367
460.7153180.5693630.284682
470.6801160.6397680.319884
480.640290.7194190.35971
490.6429030.7141950.357097
500.6140830.7718330.385917
510.5872080.8255850.412792
520.5428760.9142480.457124
530.5532330.8935330.446767
540.5550490.8899030.444951
550.5166010.9667980.483399
560.4772860.9545720.522714
570.4449010.8898030.555099
580.4051050.8102090.594895
590.4039130.8078270.596087
600.4103580.8207160.589642
610.5832410.8335190.416759
620.5622420.8755160.437758
630.6069570.7860860.393043
640.5668960.8662080.433104
650.5271540.9456920.472846
660.5166720.9666560.483328
670.4970830.9941650.502917
680.4728710.9457420.527129
690.5330250.933950.466975
700.5307280.9385440.469272
710.5104980.9790050.489502
720.5366610.9266770.463339
730.5027650.994470.497235
740.4643530.9287060.535647
750.4266890.8533790.573311
760.410530.821060.58947
770.4337910.8675820.566209
780.397850.79570.60215
790.3921870.7843750.607813
800.3581410.7162830.641859
810.3293830.6587650.670617
820.2993910.5987820.700609
830.292470.5849390.70753
840.268440.5368810.73156
850.2377670.4755350.762233
860.2122670.4245340.787733
870.1853940.3707880.814606
880.1628610.3257210.837139
890.3727640.7455280.627236
900.4219430.8438850.578057
910.3927170.7854340.607283
920.3594560.7189120.640544
930.3287760.6575520.671224
940.2958640.5917280.704136
950.2791940.5583880.720806
960.2742430.5484850.725757
970.2446880.4893750.755312
980.2576120.5152250.742388
990.2361390.4722780.763861
1000.2423770.4847530.757623
1010.2396110.4792220.760389
1020.2180070.4360150.781993
1030.2194590.4389190.780541
1040.1959390.3918770.804061
1050.276420.552840.72358
1060.2601150.5202290.739885
1070.2325610.4651230.767439
1080.2924780.5849550.707522
1090.3515820.7031630.648418
1100.3252560.6505120.674744
1110.3399630.6799260.660037
1120.3202960.6405920.679704
1130.2916440.5832870.708356
1140.3813910.7627820.618609
1150.3640790.7281580.635921
1160.3315720.6631430.668428
1170.3002540.6005070.699746
1180.2711630.5423250.728837
1190.2425220.4850450.757478
1200.2266350.453270.773365
1210.2025110.4050220.797489
1220.1842750.368550.815725
1230.1635580.3271150.836442
1240.1477940.2955890.852206
1250.1306310.2612620.869369
1260.1420870.2841740.857913
1270.1399230.2798450.860077
1280.2257380.4514760.774262
1290.2126060.4252110.787394
1300.1905730.3811460.809427
1310.2232590.4465180.776741
1320.2004240.4008480.799576
1330.1957430.3914860.804257
1340.1785110.3570210.821489
1350.1799390.3598770.820061
1360.1727530.3455060.827247
1370.1513710.3027420.848629
1380.144320.288640.85568
1390.1348410.2696810.865159
1400.1165870.2331740.883413
1410.1040670.2081330.895933
1420.1049820.2099650.895018
1430.09003630.1800730.909964
1440.08190920.1638180.918091
1450.09046390.1809280.909536
1460.0880410.1760820.911959
1470.08789750.1757950.912103
1480.08018960.1603790.91981
1490.1129370.2258740.887063
1500.1253720.2507440.874628
1510.1117480.2234960.888252
1520.111810.223620.88819
1530.1049950.2099910.895005
1540.1718540.3437080.828146
1550.1503010.3006020.849699
1560.1400940.2801880.859906
1570.1211170.2422350.878883
1580.19850.3969990.8015
1590.1765740.3531480.823426
1600.1588770.3177540.841123
1610.1387120.2774240.861288
1620.1452570.2905130.854743
1630.1308290.2616570.869171
1640.1269130.2538270.873087
1650.1437220.2874430.856278
1660.1274570.2549130.872543
1670.1127710.2255420.887229
1680.09700080.1940020.902999
1690.1228930.2457850.877107
1700.1627890.3255790.837211
1710.1511050.302210.848895
1720.1555920.3111850.844408
1730.1884160.3768310.811584
1740.1693020.3386040.830698
1750.1909010.3818010.809099
1760.1664720.3329430.833528
1770.1976550.3953090.802345
1780.1737440.3474870.826256
1790.1893070.3786150.810693
1800.1767460.3534920.823254
1810.1550650.3101290.844935
1820.1344130.2688260.865587
1830.12050.2410.8795
1840.1045570.2091140.895443
1850.1464880.2929750.853512
1860.1257390.2514790.874261
1870.1075420.2150840.892458
1880.1043620.2087250.895638
1890.08923570.1784710.910764
1900.07923620.1584720.920764
1910.07376460.1475290.926235
1920.06165890.1233180.938341
1930.06123660.1224730.938763
1940.05984670.1196930.940153
1950.05825720.1165140.941743
1960.05008810.1001760.949912
1970.04151260.08302530.958487
1980.03389960.06779910.9661
1990.06136580.1227320.938634
2000.04990070.09980140.950099
2010.07118050.1423610.928819
2020.06943930.1388790.930561
2030.1110550.222110.888945
2040.09314010.186280.90686
2050.08595890.1719180.914041
2060.07890950.1578190.921091
2070.06539880.1307980.934601
2080.06836660.1367330.931633
2090.05615210.1123040.943848
2100.0625210.1250420.937479
2110.07520960.1504190.92479
2120.09219820.1843960.907802
2130.08296730.1659350.917033
2140.08856820.1771360.911432
2150.08370910.1674180.916291
2160.08008040.1601610.91992
2170.1039970.2079950.896003
2180.08998560.1799710.910014
2190.1412410.2824830.858759
2200.1352090.2704180.864791
2210.1193120.2386240.880688
2220.1419730.2839470.858027
2230.1468780.2937560.853122
2240.1510860.3021730.848914
2250.177070.3541390.82293
2260.2676420.5352840.732358
2270.5848570.8302870.415143
2280.532750.9344990.46725
2290.6266790.7466430.373321
2300.5830930.8338140.416907
2310.5490470.9019050.450953
2320.5661830.8676340.433817
2330.5662030.8675930.433797
2340.5079740.9840520.492026
2350.6009920.7980170.399008
2360.5511890.8976220.448811
2370.4912830.9825670.508717
2380.4373890.8747790.562611
2390.4402350.880470.559765
2400.381350.76270.61865
2410.3184040.6368080.681596
2420.4481470.8962950.551853
2430.3774780.7549570.622522
2440.3111420.6222840.688858
2450.3402620.6805240.659738
2460.3377660.6755310.662234
2470.2666390.5332770.733361
2480.2757070.5514140.724293
2490.2979910.5959830.702009
2500.2416010.4832010.758399
2510.1983540.3967070.801646
2520.140950.28190.85905
2530.1074790.2149590.892521
2540.07082740.1416550.929173
2550.04899020.09798040.95101
2560.02503070.05006130.974969

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.604274 & 0.791452 & 0.395726 \tabularnewline
9 & 0.437482 & 0.874964 & 0.562518 \tabularnewline
10 & 0.331563 & 0.663126 & 0.668437 \tabularnewline
11 & 0.231105 & 0.462209 & 0.768895 \tabularnewline
12 & 0.498421 & 0.996841 & 0.501579 \tabularnewline
13 & 0.777555 & 0.44489 & 0.222445 \tabularnewline
14 & 0.752898 & 0.494204 & 0.247102 \tabularnewline
15 & 0.887027 & 0.225945 & 0.112973 \tabularnewline
16 & 0.846895 & 0.30621 & 0.153105 \tabularnewline
17 & 0.814721 & 0.370557 & 0.185279 \tabularnewline
18 & 0.815237 & 0.369526 & 0.184763 \tabularnewline
19 & 0.771097 & 0.457806 & 0.228903 \tabularnewline
20 & 0.728238 & 0.543523 & 0.271762 \tabularnewline
21 & 0.763192 & 0.473617 & 0.236808 \tabularnewline
22 & 0.824855 & 0.35029 & 0.175145 \tabularnewline
23 & 0.784073 & 0.431853 & 0.215927 \tabularnewline
24 & 0.785834 & 0.428332 & 0.214166 \tabularnewline
25 & 0.748758 & 0.502484 & 0.251242 \tabularnewline
26 & 0.936123 & 0.127754 & 0.0638768 \tabularnewline
27 & 0.920348 & 0.159303 & 0.0796517 \tabularnewline
28 & 0.897302 & 0.205395 & 0.102698 \tabularnewline
29 & 0.868803 & 0.262394 & 0.131197 \tabularnewline
30 & 0.902468 & 0.195064 & 0.0975322 \tabularnewline
31 & 0.884058 & 0.231884 & 0.115942 \tabularnewline
32 & 0.863959 & 0.272082 & 0.136041 \tabularnewline
33 & 0.85301 & 0.29398 & 0.14699 \tabularnewline
34 & 0.821542 & 0.356915 & 0.178458 \tabularnewline
35 & 0.789336 & 0.421328 & 0.210664 \tabularnewline
36 & 0.763055 & 0.47389 & 0.236945 \tabularnewline
37 & 0.870417 & 0.259166 & 0.129583 \tabularnewline
38 & 0.842265 & 0.315471 & 0.157735 \tabularnewline
39 & 0.849027 & 0.301946 & 0.150973 \tabularnewline
40 & 0.831905 & 0.33619 & 0.168095 \tabularnewline
41 & 0.798876 & 0.402248 & 0.201124 \tabularnewline
42 & 0.778317 & 0.443366 & 0.221683 \tabularnewline
43 & 0.742631 & 0.514738 & 0.257369 \tabularnewline
44 & 0.741469 & 0.517062 & 0.258531 \tabularnewline
45 & 0.702633 & 0.594735 & 0.297367 \tabularnewline
46 & 0.715318 & 0.569363 & 0.284682 \tabularnewline
47 & 0.680116 & 0.639768 & 0.319884 \tabularnewline
48 & 0.64029 & 0.719419 & 0.35971 \tabularnewline
49 & 0.642903 & 0.714195 & 0.357097 \tabularnewline
50 & 0.614083 & 0.771833 & 0.385917 \tabularnewline
51 & 0.587208 & 0.825585 & 0.412792 \tabularnewline
52 & 0.542876 & 0.914248 & 0.457124 \tabularnewline
53 & 0.553233 & 0.893533 & 0.446767 \tabularnewline
54 & 0.555049 & 0.889903 & 0.444951 \tabularnewline
55 & 0.516601 & 0.966798 & 0.483399 \tabularnewline
56 & 0.477286 & 0.954572 & 0.522714 \tabularnewline
57 & 0.444901 & 0.889803 & 0.555099 \tabularnewline
58 & 0.405105 & 0.810209 & 0.594895 \tabularnewline
59 & 0.403913 & 0.807827 & 0.596087 \tabularnewline
60 & 0.410358 & 0.820716 & 0.589642 \tabularnewline
61 & 0.583241 & 0.833519 & 0.416759 \tabularnewline
62 & 0.562242 & 0.875516 & 0.437758 \tabularnewline
63 & 0.606957 & 0.786086 & 0.393043 \tabularnewline
64 & 0.566896 & 0.866208 & 0.433104 \tabularnewline
65 & 0.527154 & 0.945692 & 0.472846 \tabularnewline
66 & 0.516672 & 0.966656 & 0.483328 \tabularnewline
67 & 0.497083 & 0.994165 & 0.502917 \tabularnewline
68 & 0.472871 & 0.945742 & 0.527129 \tabularnewline
69 & 0.533025 & 0.93395 & 0.466975 \tabularnewline
70 & 0.530728 & 0.938544 & 0.469272 \tabularnewline
71 & 0.510498 & 0.979005 & 0.489502 \tabularnewline
72 & 0.536661 & 0.926677 & 0.463339 \tabularnewline
73 & 0.502765 & 0.99447 & 0.497235 \tabularnewline
74 & 0.464353 & 0.928706 & 0.535647 \tabularnewline
75 & 0.426689 & 0.853379 & 0.573311 \tabularnewline
76 & 0.41053 & 0.82106 & 0.58947 \tabularnewline
77 & 0.433791 & 0.867582 & 0.566209 \tabularnewline
78 & 0.39785 & 0.7957 & 0.60215 \tabularnewline
79 & 0.392187 & 0.784375 & 0.607813 \tabularnewline
80 & 0.358141 & 0.716283 & 0.641859 \tabularnewline
81 & 0.329383 & 0.658765 & 0.670617 \tabularnewline
82 & 0.299391 & 0.598782 & 0.700609 \tabularnewline
83 & 0.29247 & 0.584939 & 0.70753 \tabularnewline
84 & 0.26844 & 0.536881 & 0.73156 \tabularnewline
85 & 0.237767 & 0.475535 & 0.762233 \tabularnewline
86 & 0.212267 & 0.424534 & 0.787733 \tabularnewline
87 & 0.185394 & 0.370788 & 0.814606 \tabularnewline
88 & 0.162861 & 0.325721 & 0.837139 \tabularnewline
89 & 0.372764 & 0.745528 & 0.627236 \tabularnewline
90 & 0.421943 & 0.843885 & 0.578057 \tabularnewline
91 & 0.392717 & 0.785434 & 0.607283 \tabularnewline
92 & 0.359456 & 0.718912 & 0.640544 \tabularnewline
93 & 0.328776 & 0.657552 & 0.671224 \tabularnewline
94 & 0.295864 & 0.591728 & 0.704136 \tabularnewline
95 & 0.279194 & 0.558388 & 0.720806 \tabularnewline
96 & 0.274243 & 0.548485 & 0.725757 \tabularnewline
97 & 0.244688 & 0.489375 & 0.755312 \tabularnewline
98 & 0.257612 & 0.515225 & 0.742388 \tabularnewline
99 & 0.236139 & 0.472278 & 0.763861 \tabularnewline
100 & 0.242377 & 0.484753 & 0.757623 \tabularnewline
101 & 0.239611 & 0.479222 & 0.760389 \tabularnewline
102 & 0.218007 & 0.436015 & 0.781993 \tabularnewline
103 & 0.219459 & 0.438919 & 0.780541 \tabularnewline
104 & 0.195939 & 0.391877 & 0.804061 \tabularnewline
105 & 0.27642 & 0.55284 & 0.72358 \tabularnewline
106 & 0.260115 & 0.520229 & 0.739885 \tabularnewline
107 & 0.232561 & 0.465123 & 0.767439 \tabularnewline
108 & 0.292478 & 0.584955 & 0.707522 \tabularnewline
109 & 0.351582 & 0.703163 & 0.648418 \tabularnewline
110 & 0.325256 & 0.650512 & 0.674744 \tabularnewline
111 & 0.339963 & 0.679926 & 0.660037 \tabularnewline
112 & 0.320296 & 0.640592 & 0.679704 \tabularnewline
113 & 0.291644 & 0.583287 & 0.708356 \tabularnewline
114 & 0.381391 & 0.762782 & 0.618609 \tabularnewline
115 & 0.364079 & 0.728158 & 0.635921 \tabularnewline
116 & 0.331572 & 0.663143 & 0.668428 \tabularnewline
117 & 0.300254 & 0.600507 & 0.699746 \tabularnewline
118 & 0.271163 & 0.542325 & 0.728837 \tabularnewline
119 & 0.242522 & 0.485045 & 0.757478 \tabularnewline
120 & 0.226635 & 0.45327 & 0.773365 \tabularnewline
121 & 0.202511 & 0.405022 & 0.797489 \tabularnewline
122 & 0.184275 & 0.36855 & 0.815725 \tabularnewline
123 & 0.163558 & 0.327115 & 0.836442 \tabularnewline
124 & 0.147794 & 0.295589 & 0.852206 \tabularnewline
125 & 0.130631 & 0.261262 & 0.869369 \tabularnewline
126 & 0.142087 & 0.284174 & 0.857913 \tabularnewline
127 & 0.139923 & 0.279845 & 0.860077 \tabularnewline
128 & 0.225738 & 0.451476 & 0.774262 \tabularnewline
129 & 0.212606 & 0.425211 & 0.787394 \tabularnewline
130 & 0.190573 & 0.381146 & 0.809427 \tabularnewline
131 & 0.223259 & 0.446518 & 0.776741 \tabularnewline
132 & 0.200424 & 0.400848 & 0.799576 \tabularnewline
133 & 0.195743 & 0.391486 & 0.804257 \tabularnewline
134 & 0.178511 & 0.357021 & 0.821489 \tabularnewline
135 & 0.179939 & 0.359877 & 0.820061 \tabularnewline
136 & 0.172753 & 0.345506 & 0.827247 \tabularnewline
137 & 0.151371 & 0.302742 & 0.848629 \tabularnewline
138 & 0.14432 & 0.28864 & 0.85568 \tabularnewline
139 & 0.134841 & 0.269681 & 0.865159 \tabularnewline
140 & 0.116587 & 0.233174 & 0.883413 \tabularnewline
141 & 0.104067 & 0.208133 & 0.895933 \tabularnewline
142 & 0.104982 & 0.209965 & 0.895018 \tabularnewline
143 & 0.0900363 & 0.180073 & 0.909964 \tabularnewline
144 & 0.0819092 & 0.163818 & 0.918091 \tabularnewline
145 & 0.0904639 & 0.180928 & 0.909536 \tabularnewline
146 & 0.088041 & 0.176082 & 0.911959 \tabularnewline
147 & 0.0878975 & 0.175795 & 0.912103 \tabularnewline
148 & 0.0801896 & 0.160379 & 0.91981 \tabularnewline
149 & 0.112937 & 0.225874 & 0.887063 \tabularnewline
150 & 0.125372 & 0.250744 & 0.874628 \tabularnewline
151 & 0.111748 & 0.223496 & 0.888252 \tabularnewline
152 & 0.11181 & 0.22362 & 0.88819 \tabularnewline
153 & 0.104995 & 0.209991 & 0.895005 \tabularnewline
154 & 0.171854 & 0.343708 & 0.828146 \tabularnewline
155 & 0.150301 & 0.300602 & 0.849699 \tabularnewline
156 & 0.140094 & 0.280188 & 0.859906 \tabularnewline
157 & 0.121117 & 0.242235 & 0.878883 \tabularnewline
158 & 0.1985 & 0.396999 & 0.8015 \tabularnewline
159 & 0.176574 & 0.353148 & 0.823426 \tabularnewline
160 & 0.158877 & 0.317754 & 0.841123 \tabularnewline
161 & 0.138712 & 0.277424 & 0.861288 \tabularnewline
162 & 0.145257 & 0.290513 & 0.854743 \tabularnewline
163 & 0.130829 & 0.261657 & 0.869171 \tabularnewline
164 & 0.126913 & 0.253827 & 0.873087 \tabularnewline
165 & 0.143722 & 0.287443 & 0.856278 \tabularnewline
166 & 0.127457 & 0.254913 & 0.872543 \tabularnewline
167 & 0.112771 & 0.225542 & 0.887229 \tabularnewline
168 & 0.0970008 & 0.194002 & 0.902999 \tabularnewline
169 & 0.122893 & 0.245785 & 0.877107 \tabularnewline
170 & 0.162789 & 0.325579 & 0.837211 \tabularnewline
171 & 0.151105 & 0.30221 & 0.848895 \tabularnewline
172 & 0.155592 & 0.311185 & 0.844408 \tabularnewline
173 & 0.188416 & 0.376831 & 0.811584 \tabularnewline
174 & 0.169302 & 0.338604 & 0.830698 \tabularnewline
175 & 0.190901 & 0.381801 & 0.809099 \tabularnewline
176 & 0.166472 & 0.332943 & 0.833528 \tabularnewline
177 & 0.197655 & 0.395309 & 0.802345 \tabularnewline
178 & 0.173744 & 0.347487 & 0.826256 \tabularnewline
179 & 0.189307 & 0.378615 & 0.810693 \tabularnewline
180 & 0.176746 & 0.353492 & 0.823254 \tabularnewline
181 & 0.155065 & 0.310129 & 0.844935 \tabularnewline
182 & 0.134413 & 0.268826 & 0.865587 \tabularnewline
183 & 0.1205 & 0.241 & 0.8795 \tabularnewline
184 & 0.104557 & 0.209114 & 0.895443 \tabularnewline
185 & 0.146488 & 0.292975 & 0.853512 \tabularnewline
186 & 0.125739 & 0.251479 & 0.874261 \tabularnewline
187 & 0.107542 & 0.215084 & 0.892458 \tabularnewline
188 & 0.104362 & 0.208725 & 0.895638 \tabularnewline
189 & 0.0892357 & 0.178471 & 0.910764 \tabularnewline
190 & 0.0792362 & 0.158472 & 0.920764 \tabularnewline
191 & 0.0737646 & 0.147529 & 0.926235 \tabularnewline
192 & 0.0616589 & 0.123318 & 0.938341 \tabularnewline
193 & 0.0612366 & 0.122473 & 0.938763 \tabularnewline
194 & 0.0598467 & 0.119693 & 0.940153 \tabularnewline
195 & 0.0582572 & 0.116514 & 0.941743 \tabularnewline
196 & 0.0500881 & 0.100176 & 0.949912 \tabularnewline
197 & 0.0415126 & 0.0830253 & 0.958487 \tabularnewline
198 & 0.0338996 & 0.0677991 & 0.9661 \tabularnewline
199 & 0.0613658 & 0.122732 & 0.938634 \tabularnewline
200 & 0.0499007 & 0.0998014 & 0.950099 \tabularnewline
201 & 0.0711805 & 0.142361 & 0.928819 \tabularnewline
202 & 0.0694393 & 0.138879 & 0.930561 \tabularnewline
203 & 0.111055 & 0.22211 & 0.888945 \tabularnewline
204 & 0.0931401 & 0.18628 & 0.90686 \tabularnewline
205 & 0.0859589 & 0.171918 & 0.914041 \tabularnewline
206 & 0.0789095 & 0.157819 & 0.921091 \tabularnewline
207 & 0.0653988 & 0.130798 & 0.934601 \tabularnewline
208 & 0.0683666 & 0.136733 & 0.931633 \tabularnewline
209 & 0.0561521 & 0.112304 & 0.943848 \tabularnewline
210 & 0.062521 & 0.125042 & 0.937479 \tabularnewline
211 & 0.0752096 & 0.150419 & 0.92479 \tabularnewline
212 & 0.0921982 & 0.184396 & 0.907802 \tabularnewline
213 & 0.0829673 & 0.165935 & 0.917033 \tabularnewline
214 & 0.0885682 & 0.177136 & 0.911432 \tabularnewline
215 & 0.0837091 & 0.167418 & 0.916291 \tabularnewline
216 & 0.0800804 & 0.160161 & 0.91992 \tabularnewline
217 & 0.103997 & 0.207995 & 0.896003 \tabularnewline
218 & 0.0899856 & 0.179971 & 0.910014 \tabularnewline
219 & 0.141241 & 0.282483 & 0.858759 \tabularnewline
220 & 0.135209 & 0.270418 & 0.864791 \tabularnewline
221 & 0.119312 & 0.238624 & 0.880688 \tabularnewline
222 & 0.141973 & 0.283947 & 0.858027 \tabularnewline
223 & 0.146878 & 0.293756 & 0.853122 \tabularnewline
224 & 0.151086 & 0.302173 & 0.848914 \tabularnewline
225 & 0.17707 & 0.354139 & 0.82293 \tabularnewline
226 & 0.267642 & 0.535284 & 0.732358 \tabularnewline
227 & 0.584857 & 0.830287 & 0.415143 \tabularnewline
228 & 0.53275 & 0.934499 & 0.46725 \tabularnewline
229 & 0.626679 & 0.746643 & 0.373321 \tabularnewline
230 & 0.583093 & 0.833814 & 0.416907 \tabularnewline
231 & 0.549047 & 0.901905 & 0.450953 \tabularnewline
232 & 0.566183 & 0.867634 & 0.433817 \tabularnewline
233 & 0.566203 & 0.867593 & 0.433797 \tabularnewline
234 & 0.507974 & 0.984052 & 0.492026 \tabularnewline
235 & 0.600992 & 0.798017 & 0.399008 \tabularnewline
236 & 0.551189 & 0.897622 & 0.448811 \tabularnewline
237 & 0.491283 & 0.982567 & 0.508717 \tabularnewline
238 & 0.437389 & 0.874779 & 0.562611 \tabularnewline
239 & 0.440235 & 0.88047 & 0.559765 \tabularnewline
240 & 0.38135 & 0.7627 & 0.61865 \tabularnewline
241 & 0.318404 & 0.636808 & 0.681596 \tabularnewline
242 & 0.448147 & 0.896295 & 0.551853 \tabularnewline
243 & 0.377478 & 0.754957 & 0.622522 \tabularnewline
244 & 0.311142 & 0.622284 & 0.688858 \tabularnewline
245 & 0.340262 & 0.680524 & 0.659738 \tabularnewline
246 & 0.337766 & 0.675531 & 0.662234 \tabularnewline
247 & 0.266639 & 0.533277 & 0.733361 \tabularnewline
248 & 0.275707 & 0.551414 & 0.724293 \tabularnewline
249 & 0.297991 & 0.595983 & 0.702009 \tabularnewline
250 & 0.241601 & 0.483201 & 0.758399 \tabularnewline
251 & 0.198354 & 0.396707 & 0.801646 \tabularnewline
252 & 0.14095 & 0.2819 & 0.85905 \tabularnewline
253 & 0.107479 & 0.214959 & 0.892521 \tabularnewline
254 & 0.0708274 & 0.141655 & 0.929173 \tabularnewline
255 & 0.0489902 & 0.0979804 & 0.95101 \tabularnewline
256 & 0.0250307 & 0.0500613 & 0.974969 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226205&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]8[/C][C]0.604274[/C][C]0.791452[/C][C]0.395726[/C][/ROW]
[ROW][C]9[/C][C]0.437482[/C][C]0.874964[/C][C]0.562518[/C][/ROW]
[ROW][C]10[/C][C]0.331563[/C][C]0.663126[/C][C]0.668437[/C][/ROW]
[ROW][C]11[/C][C]0.231105[/C][C]0.462209[/C][C]0.768895[/C][/ROW]
[ROW][C]12[/C][C]0.498421[/C][C]0.996841[/C][C]0.501579[/C][/ROW]
[ROW][C]13[/C][C]0.777555[/C][C]0.44489[/C][C]0.222445[/C][/ROW]
[ROW][C]14[/C][C]0.752898[/C][C]0.494204[/C][C]0.247102[/C][/ROW]
[ROW][C]15[/C][C]0.887027[/C][C]0.225945[/C][C]0.112973[/C][/ROW]
[ROW][C]16[/C][C]0.846895[/C][C]0.30621[/C][C]0.153105[/C][/ROW]
[ROW][C]17[/C][C]0.814721[/C][C]0.370557[/C][C]0.185279[/C][/ROW]
[ROW][C]18[/C][C]0.815237[/C][C]0.369526[/C][C]0.184763[/C][/ROW]
[ROW][C]19[/C][C]0.771097[/C][C]0.457806[/C][C]0.228903[/C][/ROW]
[ROW][C]20[/C][C]0.728238[/C][C]0.543523[/C][C]0.271762[/C][/ROW]
[ROW][C]21[/C][C]0.763192[/C][C]0.473617[/C][C]0.236808[/C][/ROW]
[ROW][C]22[/C][C]0.824855[/C][C]0.35029[/C][C]0.175145[/C][/ROW]
[ROW][C]23[/C][C]0.784073[/C][C]0.431853[/C][C]0.215927[/C][/ROW]
[ROW][C]24[/C][C]0.785834[/C][C]0.428332[/C][C]0.214166[/C][/ROW]
[ROW][C]25[/C][C]0.748758[/C][C]0.502484[/C][C]0.251242[/C][/ROW]
[ROW][C]26[/C][C]0.936123[/C][C]0.127754[/C][C]0.0638768[/C][/ROW]
[ROW][C]27[/C][C]0.920348[/C][C]0.159303[/C][C]0.0796517[/C][/ROW]
[ROW][C]28[/C][C]0.897302[/C][C]0.205395[/C][C]0.102698[/C][/ROW]
[ROW][C]29[/C][C]0.868803[/C][C]0.262394[/C][C]0.131197[/C][/ROW]
[ROW][C]30[/C][C]0.902468[/C][C]0.195064[/C][C]0.0975322[/C][/ROW]
[ROW][C]31[/C][C]0.884058[/C][C]0.231884[/C][C]0.115942[/C][/ROW]
[ROW][C]32[/C][C]0.863959[/C][C]0.272082[/C][C]0.136041[/C][/ROW]
[ROW][C]33[/C][C]0.85301[/C][C]0.29398[/C][C]0.14699[/C][/ROW]
[ROW][C]34[/C][C]0.821542[/C][C]0.356915[/C][C]0.178458[/C][/ROW]
[ROW][C]35[/C][C]0.789336[/C][C]0.421328[/C][C]0.210664[/C][/ROW]
[ROW][C]36[/C][C]0.763055[/C][C]0.47389[/C][C]0.236945[/C][/ROW]
[ROW][C]37[/C][C]0.870417[/C][C]0.259166[/C][C]0.129583[/C][/ROW]
[ROW][C]38[/C][C]0.842265[/C][C]0.315471[/C][C]0.157735[/C][/ROW]
[ROW][C]39[/C][C]0.849027[/C][C]0.301946[/C][C]0.150973[/C][/ROW]
[ROW][C]40[/C][C]0.831905[/C][C]0.33619[/C][C]0.168095[/C][/ROW]
[ROW][C]41[/C][C]0.798876[/C][C]0.402248[/C][C]0.201124[/C][/ROW]
[ROW][C]42[/C][C]0.778317[/C][C]0.443366[/C][C]0.221683[/C][/ROW]
[ROW][C]43[/C][C]0.742631[/C][C]0.514738[/C][C]0.257369[/C][/ROW]
[ROW][C]44[/C][C]0.741469[/C][C]0.517062[/C][C]0.258531[/C][/ROW]
[ROW][C]45[/C][C]0.702633[/C][C]0.594735[/C][C]0.297367[/C][/ROW]
[ROW][C]46[/C][C]0.715318[/C][C]0.569363[/C][C]0.284682[/C][/ROW]
[ROW][C]47[/C][C]0.680116[/C][C]0.639768[/C][C]0.319884[/C][/ROW]
[ROW][C]48[/C][C]0.64029[/C][C]0.719419[/C][C]0.35971[/C][/ROW]
[ROW][C]49[/C][C]0.642903[/C][C]0.714195[/C][C]0.357097[/C][/ROW]
[ROW][C]50[/C][C]0.614083[/C][C]0.771833[/C][C]0.385917[/C][/ROW]
[ROW][C]51[/C][C]0.587208[/C][C]0.825585[/C][C]0.412792[/C][/ROW]
[ROW][C]52[/C][C]0.542876[/C][C]0.914248[/C][C]0.457124[/C][/ROW]
[ROW][C]53[/C][C]0.553233[/C][C]0.893533[/C][C]0.446767[/C][/ROW]
[ROW][C]54[/C][C]0.555049[/C][C]0.889903[/C][C]0.444951[/C][/ROW]
[ROW][C]55[/C][C]0.516601[/C][C]0.966798[/C][C]0.483399[/C][/ROW]
[ROW][C]56[/C][C]0.477286[/C][C]0.954572[/C][C]0.522714[/C][/ROW]
[ROW][C]57[/C][C]0.444901[/C][C]0.889803[/C][C]0.555099[/C][/ROW]
[ROW][C]58[/C][C]0.405105[/C][C]0.810209[/C][C]0.594895[/C][/ROW]
[ROW][C]59[/C][C]0.403913[/C][C]0.807827[/C][C]0.596087[/C][/ROW]
[ROW][C]60[/C][C]0.410358[/C][C]0.820716[/C][C]0.589642[/C][/ROW]
[ROW][C]61[/C][C]0.583241[/C][C]0.833519[/C][C]0.416759[/C][/ROW]
[ROW][C]62[/C][C]0.562242[/C][C]0.875516[/C][C]0.437758[/C][/ROW]
[ROW][C]63[/C][C]0.606957[/C][C]0.786086[/C][C]0.393043[/C][/ROW]
[ROW][C]64[/C][C]0.566896[/C][C]0.866208[/C][C]0.433104[/C][/ROW]
[ROW][C]65[/C][C]0.527154[/C][C]0.945692[/C][C]0.472846[/C][/ROW]
[ROW][C]66[/C][C]0.516672[/C][C]0.966656[/C][C]0.483328[/C][/ROW]
[ROW][C]67[/C][C]0.497083[/C][C]0.994165[/C][C]0.502917[/C][/ROW]
[ROW][C]68[/C][C]0.472871[/C][C]0.945742[/C][C]0.527129[/C][/ROW]
[ROW][C]69[/C][C]0.533025[/C][C]0.93395[/C][C]0.466975[/C][/ROW]
[ROW][C]70[/C][C]0.530728[/C][C]0.938544[/C][C]0.469272[/C][/ROW]
[ROW][C]71[/C][C]0.510498[/C][C]0.979005[/C][C]0.489502[/C][/ROW]
[ROW][C]72[/C][C]0.536661[/C][C]0.926677[/C][C]0.463339[/C][/ROW]
[ROW][C]73[/C][C]0.502765[/C][C]0.99447[/C][C]0.497235[/C][/ROW]
[ROW][C]74[/C][C]0.464353[/C][C]0.928706[/C][C]0.535647[/C][/ROW]
[ROW][C]75[/C][C]0.426689[/C][C]0.853379[/C][C]0.573311[/C][/ROW]
[ROW][C]76[/C][C]0.41053[/C][C]0.82106[/C][C]0.58947[/C][/ROW]
[ROW][C]77[/C][C]0.433791[/C][C]0.867582[/C][C]0.566209[/C][/ROW]
[ROW][C]78[/C][C]0.39785[/C][C]0.7957[/C][C]0.60215[/C][/ROW]
[ROW][C]79[/C][C]0.392187[/C][C]0.784375[/C][C]0.607813[/C][/ROW]
[ROW][C]80[/C][C]0.358141[/C][C]0.716283[/C][C]0.641859[/C][/ROW]
[ROW][C]81[/C][C]0.329383[/C][C]0.658765[/C][C]0.670617[/C][/ROW]
[ROW][C]82[/C][C]0.299391[/C][C]0.598782[/C][C]0.700609[/C][/ROW]
[ROW][C]83[/C][C]0.29247[/C][C]0.584939[/C][C]0.70753[/C][/ROW]
[ROW][C]84[/C][C]0.26844[/C][C]0.536881[/C][C]0.73156[/C][/ROW]
[ROW][C]85[/C][C]0.237767[/C][C]0.475535[/C][C]0.762233[/C][/ROW]
[ROW][C]86[/C][C]0.212267[/C][C]0.424534[/C][C]0.787733[/C][/ROW]
[ROW][C]87[/C][C]0.185394[/C][C]0.370788[/C][C]0.814606[/C][/ROW]
[ROW][C]88[/C][C]0.162861[/C][C]0.325721[/C][C]0.837139[/C][/ROW]
[ROW][C]89[/C][C]0.372764[/C][C]0.745528[/C][C]0.627236[/C][/ROW]
[ROW][C]90[/C][C]0.421943[/C][C]0.843885[/C][C]0.578057[/C][/ROW]
[ROW][C]91[/C][C]0.392717[/C][C]0.785434[/C][C]0.607283[/C][/ROW]
[ROW][C]92[/C][C]0.359456[/C][C]0.718912[/C][C]0.640544[/C][/ROW]
[ROW][C]93[/C][C]0.328776[/C][C]0.657552[/C][C]0.671224[/C][/ROW]
[ROW][C]94[/C][C]0.295864[/C][C]0.591728[/C][C]0.704136[/C][/ROW]
[ROW][C]95[/C][C]0.279194[/C][C]0.558388[/C][C]0.720806[/C][/ROW]
[ROW][C]96[/C][C]0.274243[/C][C]0.548485[/C][C]0.725757[/C][/ROW]
[ROW][C]97[/C][C]0.244688[/C][C]0.489375[/C][C]0.755312[/C][/ROW]
[ROW][C]98[/C][C]0.257612[/C][C]0.515225[/C][C]0.742388[/C][/ROW]
[ROW][C]99[/C][C]0.236139[/C][C]0.472278[/C][C]0.763861[/C][/ROW]
[ROW][C]100[/C][C]0.242377[/C][C]0.484753[/C][C]0.757623[/C][/ROW]
[ROW][C]101[/C][C]0.239611[/C][C]0.479222[/C][C]0.760389[/C][/ROW]
[ROW][C]102[/C][C]0.218007[/C][C]0.436015[/C][C]0.781993[/C][/ROW]
[ROW][C]103[/C][C]0.219459[/C][C]0.438919[/C][C]0.780541[/C][/ROW]
[ROW][C]104[/C][C]0.195939[/C][C]0.391877[/C][C]0.804061[/C][/ROW]
[ROW][C]105[/C][C]0.27642[/C][C]0.55284[/C][C]0.72358[/C][/ROW]
[ROW][C]106[/C][C]0.260115[/C][C]0.520229[/C][C]0.739885[/C][/ROW]
[ROW][C]107[/C][C]0.232561[/C][C]0.465123[/C][C]0.767439[/C][/ROW]
[ROW][C]108[/C][C]0.292478[/C][C]0.584955[/C][C]0.707522[/C][/ROW]
[ROW][C]109[/C][C]0.351582[/C][C]0.703163[/C][C]0.648418[/C][/ROW]
[ROW][C]110[/C][C]0.325256[/C][C]0.650512[/C][C]0.674744[/C][/ROW]
[ROW][C]111[/C][C]0.339963[/C][C]0.679926[/C][C]0.660037[/C][/ROW]
[ROW][C]112[/C][C]0.320296[/C][C]0.640592[/C][C]0.679704[/C][/ROW]
[ROW][C]113[/C][C]0.291644[/C][C]0.583287[/C][C]0.708356[/C][/ROW]
[ROW][C]114[/C][C]0.381391[/C][C]0.762782[/C][C]0.618609[/C][/ROW]
[ROW][C]115[/C][C]0.364079[/C][C]0.728158[/C][C]0.635921[/C][/ROW]
[ROW][C]116[/C][C]0.331572[/C][C]0.663143[/C][C]0.668428[/C][/ROW]
[ROW][C]117[/C][C]0.300254[/C][C]0.600507[/C][C]0.699746[/C][/ROW]
[ROW][C]118[/C][C]0.271163[/C][C]0.542325[/C][C]0.728837[/C][/ROW]
[ROW][C]119[/C][C]0.242522[/C][C]0.485045[/C][C]0.757478[/C][/ROW]
[ROW][C]120[/C][C]0.226635[/C][C]0.45327[/C][C]0.773365[/C][/ROW]
[ROW][C]121[/C][C]0.202511[/C][C]0.405022[/C][C]0.797489[/C][/ROW]
[ROW][C]122[/C][C]0.184275[/C][C]0.36855[/C][C]0.815725[/C][/ROW]
[ROW][C]123[/C][C]0.163558[/C][C]0.327115[/C][C]0.836442[/C][/ROW]
[ROW][C]124[/C][C]0.147794[/C][C]0.295589[/C][C]0.852206[/C][/ROW]
[ROW][C]125[/C][C]0.130631[/C][C]0.261262[/C][C]0.869369[/C][/ROW]
[ROW][C]126[/C][C]0.142087[/C][C]0.284174[/C][C]0.857913[/C][/ROW]
[ROW][C]127[/C][C]0.139923[/C][C]0.279845[/C][C]0.860077[/C][/ROW]
[ROW][C]128[/C][C]0.225738[/C][C]0.451476[/C][C]0.774262[/C][/ROW]
[ROW][C]129[/C][C]0.212606[/C][C]0.425211[/C][C]0.787394[/C][/ROW]
[ROW][C]130[/C][C]0.190573[/C][C]0.381146[/C][C]0.809427[/C][/ROW]
[ROW][C]131[/C][C]0.223259[/C][C]0.446518[/C][C]0.776741[/C][/ROW]
[ROW][C]132[/C][C]0.200424[/C][C]0.400848[/C][C]0.799576[/C][/ROW]
[ROW][C]133[/C][C]0.195743[/C][C]0.391486[/C][C]0.804257[/C][/ROW]
[ROW][C]134[/C][C]0.178511[/C][C]0.357021[/C][C]0.821489[/C][/ROW]
[ROW][C]135[/C][C]0.179939[/C][C]0.359877[/C][C]0.820061[/C][/ROW]
[ROW][C]136[/C][C]0.172753[/C][C]0.345506[/C][C]0.827247[/C][/ROW]
[ROW][C]137[/C][C]0.151371[/C][C]0.302742[/C][C]0.848629[/C][/ROW]
[ROW][C]138[/C][C]0.14432[/C][C]0.28864[/C][C]0.85568[/C][/ROW]
[ROW][C]139[/C][C]0.134841[/C][C]0.269681[/C][C]0.865159[/C][/ROW]
[ROW][C]140[/C][C]0.116587[/C][C]0.233174[/C][C]0.883413[/C][/ROW]
[ROW][C]141[/C][C]0.104067[/C][C]0.208133[/C][C]0.895933[/C][/ROW]
[ROW][C]142[/C][C]0.104982[/C][C]0.209965[/C][C]0.895018[/C][/ROW]
[ROW][C]143[/C][C]0.0900363[/C][C]0.180073[/C][C]0.909964[/C][/ROW]
[ROW][C]144[/C][C]0.0819092[/C][C]0.163818[/C][C]0.918091[/C][/ROW]
[ROW][C]145[/C][C]0.0904639[/C][C]0.180928[/C][C]0.909536[/C][/ROW]
[ROW][C]146[/C][C]0.088041[/C][C]0.176082[/C][C]0.911959[/C][/ROW]
[ROW][C]147[/C][C]0.0878975[/C][C]0.175795[/C][C]0.912103[/C][/ROW]
[ROW][C]148[/C][C]0.0801896[/C][C]0.160379[/C][C]0.91981[/C][/ROW]
[ROW][C]149[/C][C]0.112937[/C][C]0.225874[/C][C]0.887063[/C][/ROW]
[ROW][C]150[/C][C]0.125372[/C][C]0.250744[/C][C]0.874628[/C][/ROW]
[ROW][C]151[/C][C]0.111748[/C][C]0.223496[/C][C]0.888252[/C][/ROW]
[ROW][C]152[/C][C]0.11181[/C][C]0.22362[/C][C]0.88819[/C][/ROW]
[ROW][C]153[/C][C]0.104995[/C][C]0.209991[/C][C]0.895005[/C][/ROW]
[ROW][C]154[/C][C]0.171854[/C][C]0.343708[/C][C]0.828146[/C][/ROW]
[ROW][C]155[/C][C]0.150301[/C][C]0.300602[/C][C]0.849699[/C][/ROW]
[ROW][C]156[/C][C]0.140094[/C][C]0.280188[/C][C]0.859906[/C][/ROW]
[ROW][C]157[/C][C]0.121117[/C][C]0.242235[/C][C]0.878883[/C][/ROW]
[ROW][C]158[/C][C]0.1985[/C][C]0.396999[/C][C]0.8015[/C][/ROW]
[ROW][C]159[/C][C]0.176574[/C][C]0.353148[/C][C]0.823426[/C][/ROW]
[ROW][C]160[/C][C]0.158877[/C][C]0.317754[/C][C]0.841123[/C][/ROW]
[ROW][C]161[/C][C]0.138712[/C][C]0.277424[/C][C]0.861288[/C][/ROW]
[ROW][C]162[/C][C]0.145257[/C][C]0.290513[/C][C]0.854743[/C][/ROW]
[ROW][C]163[/C][C]0.130829[/C][C]0.261657[/C][C]0.869171[/C][/ROW]
[ROW][C]164[/C][C]0.126913[/C][C]0.253827[/C][C]0.873087[/C][/ROW]
[ROW][C]165[/C][C]0.143722[/C][C]0.287443[/C][C]0.856278[/C][/ROW]
[ROW][C]166[/C][C]0.127457[/C][C]0.254913[/C][C]0.872543[/C][/ROW]
[ROW][C]167[/C][C]0.112771[/C][C]0.225542[/C][C]0.887229[/C][/ROW]
[ROW][C]168[/C][C]0.0970008[/C][C]0.194002[/C][C]0.902999[/C][/ROW]
[ROW][C]169[/C][C]0.122893[/C][C]0.245785[/C][C]0.877107[/C][/ROW]
[ROW][C]170[/C][C]0.162789[/C][C]0.325579[/C][C]0.837211[/C][/ROW]
[ROW][C]171[/C][C]0.151105[/C][C]0.30221[/C][C]0.848895[/C][/ROW]
[ROW][C]172[/C][C]0.155592[/C][C]0.311185[/C][C]0.844408[/C][/ROW]
[ROW][C]173[/C][C]0.188416[/C][C]0.376831[/C][C]0.811584[/C][/ROW]
[ROW][C]174[/C][C]0.169302[/C][C]0.338604[/C][C]0.830698[/C][/ROW]
[ROW][C]175[/C][C]0.190901[/C][C]0.381801[/C][C]0.809099[/C][/ROW]
[ROW][C]176[/C][C]0.166472[/C][C]0.332943[/C][C]0.833528[/C][/ROW]
[ROW][C]177[/C][C]0.197655[/C][C]0.395309[/C][C]0.802345[/C][/ROW]
[ROW][C]178[/C][C]0.173744[/C][C]0.347487[/C][C]0.826256[/C][/ROW]
[ROW][C]179[/C][C]0.189307[/C][C]0.378615[/C][C]0.810693[/C][/ROW]
[ROW][C]180[/C][C]0.176746[/C][C]0.353492[/C][C]0.823254[/C][/ROW]
[ROW][C]181[/C][C]0.155065[/C][C]0.310129[/C][C]0.844935[/C][/ROW]
[ROW][C]182[/C][C]0.134413[/C][C]0.268826[/C][C]0.865587[/C][/ROW]
[ROW][C]183[/C][C]0.1205[/C][C]0.241[/C][C]0.8795[/C][/ROW]
[ROW][C]184[/C][C]0.104557[/C][C]0.209114[/C][C]0.895443[/C][/ROW]
[ROW][C]185[/C][C]0.146488[/C][C]0.292975[/C][C]0.853512[/C][/ROW]
[ROW][C]186[/C][C]0.125739[/C][C]0.251479[/C][C]0.874261[/C][/ROW]
[ROW][C]187[/C][C]0.107542[/C][C]0.215084[/C][C]0.892458[/C][/ROW]
[ROW][C]188[/C][C]0.104362[/C][C]0.208725[/C][C]0.895638[/C][/ROW]
[ROW][C]189[/C][C]0.0892357[/C][C]0.178471[/C][C]0.910764[/C][/ROW]
[ROW][C]190[/C][C]0.0792362[/C][C]0.158472[/C][C]0.920764[/C][/ROW]
[ROW][C]191[/C][C]0.0737646[/C][C]0.147529[/C][C]0.926235[/C][/ROW]
[ROW][C]192[/C][C]0.0616589[/C][C]0.123318[/C][C]0.938341[/C][/ROW]
[ROW][C]193[/C][C]0.0612366[/C][C]0.122473[/C][C]0.938763[/C][/ROW]
[ROW][C]194[/C][C]0.0598467[/C][C]0.119693[/C][C]0.940153[/C][/ROW]
[ROW][C]195[/C][C]0.0582572[/C][C]0.116514[/C][C]0.941743[/C][/ROW]
[ROW][C]196[/C][C]0.0500881[/C][C]0.100176[/C][C]0.949912[/C][/ROW]
[ROW][C]197[/C][C]0.0415126[/C][C]0.0830253[/C][C]0.958487[/C][/ROW]
[ROW][C]198[/C][C]0.0338996[/C][C]0.0677991[/C][C]0.9661[/C][/ROW]
[ROW][C]199[/C][C]0.0613658[/C][C]0.122732[/C][C]0.938634[/C][/ROW]
[ROW][C]200[/C][C]0.0499007[/C][C]0.0998014[/C][C]0.950099[/C][/ROW]
[ROW][C]201[/C][C]0.0711805[/C][C]0.142361[/C][C]0.928819[/C][/ROW]
[ROW][C]202[/C][C]0.0694393[/C][C]0.138879[/C][C]0.930561[/C][/ROW]
[ROW][C]203[/C][C]0.111055[/C][C]0.22211[/C][C]0.888945[/C][/ROW]
[ROW][C]204[/C][C]0.0931401[/C][C]0.18628[/C][C]0.90686[/C][/ROW]
[ROW][C]205[/C][C]0.0859589[/C][C]0.171918[/C][C]0.914041[/C][/ROW]
[ROW][C]206[/C][C]0.0789095[/C][C]0.157819[/C][C]0.921091[/C][/ROW]
[ROW][C]207[/C][C]0.0653988[/C][C]0.130798[/C][C]0.934601[/C][/ROW]
[ROW][C]208[/C][C]0.0683666[/C][C]0.136733[/C][C]0.931633[/C][/ROW]
[ROW][C]209[/C][C]0.0561521[/C][C]0.112304[/C][C]0.943848[/C][/ROW]
[ROW][C]210[/C][C]0.062521[/C][C]0.125042[/C][C]0.937479[/C][/ROW]
[ROW][C]211[/C][C]0.0752096[/C][C]0.150419[/C][C]0.92479[/C][/ROW]
[ROW][C]212[/C][C]0.0921982[/C][C]0.184396[/C][C]0.907802[/C][/ROW]
[ROW][C]213[/C][C]0.0829673[/C][C]0.165935[/C][C]0.917033[/C][/ROW]
[ROW][C]214[/C][C]0.0885682[/C][C]0.177136[/C][C]0.911432[/C][/ROW]
[ROW][C]215[/C][C]0.0837091[/C][C]0.167418[/C][C]0.916291[/C][/ROW]
[ROW][C]216[/C][C]0.0800804[/C][C]0.160161[/C][C]0.91992[/C][/ROW]
[ROW][C]217[/C][C]0.103997[/C][C]0.207995[/C][C]0.896003[/C][/ROW]
[ROW][C]218[/C][C]0.0899856[/C][C]0.179971[/C][C]0.910014[/C][/ROW]
[ROW][C]219[/C][C]0.141241[/C][C]0.282483[/C][C]0.858759[/C][/ROW]
[ROW][C]220[/C][C]0.135209[/C][C]0.270418[/C][C]0.864791[/C][/ROW]
[ROW][C]221[/C][C]0.119312[/C][C]0.238624[/C][C]0.880688[/C][/ROW]
[ROW][C]222[/C][C]0.141973[/C][C]0.283947[/C][C]0.858027[/C][/ROW]
[ROW][C]223[/C][C]0.146878[/C][C]0.293756[/C][C]0.853122[/C][/ROW]
[ROW][C]224[/C][C]0.151086[/C][C]0.302173[/C][C]0.848914[/C][/ROW]
[ROW][C]225[/C][C]0.17707[/C][C]0.354139[/C][C]0.82293[/C][/ROW]
[ROW][C]226[/C][C]0.267642[/C][C]0.535284[/C][C]0.732358[/C][/ROW]
[ROW][C]227[/C][C]0.584857[/C][C]0.830287[/C][C]0.415143[/C][/ROW]
[ROW][C]228[/C][C]0.53275[/C][C]0.934499[/C][C]0.46725[/C][/ROW]
[ROW][C]229[/C][C]0.626679[/C][C]0.746643[/C][C]0.373321[/C][/ROW]
[ROW][C]230[/C][C]0.583093[/C][C]0.833814[/C][C]0.416907[/C][/ROW]
[ROW][C]231[/C][C]0.549047[/C][C]0.901905[/C][C]0.450953[/C][/ROW]
[ROW][C]232[/C][C]0.566183[/C][C]0.867634[/C][C]0.433817[/C][/ROW]
[ROW][C]233[/C][C]0.566203[/C][C]0.867593[/C][C]0.433797[/C][/ROW]
[ROW][C]234[/C][C]0.507974[/C][C]0.984052[/C][C]0.492026[/C][/ROW]
[ROW][C]235[/C][C]0.600992[/C][C]0.798017[/C][C]0.399008[/C][/ROW]
[ROW][C]236[/C][C]0.551189[/C][C]0.897622[/C][C]0.448811[/C][/ROW]
[ROW][C]237[/C][C]0.491283[/C][C]0.982567[/C][C]0.508717[/C][/ROW]
[ROW][C]238[/C][C]0.437389[/C][C]0.874779[/C][C]0.562611[/C][/ROW]
[ROW][C]239[/C][C]0.440235[/C][C]0.88047[/C][C]0.559765[/C][/ROW]
[ROW][C]240[/C][C]0.38135[/C][C]0.7627[/C][C]0.61865[/C][/ROW]
[ROW][C]241[/C][C]0.318404[/C][C]0.636808[/C][C]0.681596[/C][/ROW]
[ROW][C]242[/C][C]0.448147[/C][C]0.896295[/C][C]0.551853[/C][/ROW]
[ROW][C]243[/C][C]0.377478[/C][C]0.754957[/C][C]0.622522[/C][/ROW]
[ROW][C]244[/C][C]0.311142[/C][C]0.622284[/C][C]0.688858[/C][/ROW]
[ROW][C]245[/C][C]0.340262[/C][C]0.680524[/C][C]0.659738[/C][/ROW]
[ROW][C]246[/C][C]0.337766[/C][C]0.675531[/C][C]0.662234[/C][/ROW]
[ROW][C]247[/C][C]0.266639[/C][C]0.533277[/C][C]0.733361[/C][/ROW]
[ROW][C]248[/C][C]0.275707[/C][C]0.551414[/C][C]0.724293[/C][/ROW]
[ROW][C]249[/C][C]0.297991[/C][C]0.595983[/C][C]0.702009[/C][/ROW]
[ROW][C]250[/C][C]0.241601[/C][C]0.483201[/C][C]0.758399[/C][/ROW]
[ROW][C]251[/C][C]0.198354[/C][C]0.396707[/C][C]0.801646[/C][/ROW]
[ROW][C]252[/C][C]0.14095[/C][C]0.2819[/C][C]0.85905[/C][/ROW]
[ROW][C]253[/C][C]0.107479[/C][C]0.214959[/C][C]0.892521[/C][/ROW]
[ROW][C]254[/C][C]0.0708274[/C][C]0.141655[/C][C]0.929173[/C][/ROW]
[ROW][C]255[/C][C]0.0489902[/C][C]0.0979804[/C][C]0.95101[/C][/ROW]
[ROW][C]256[/C][C]0.0250307[/C][C]0.0500613[/C][C]0.974969[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226205&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226205&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
80.6042740.7914520.395726
90.4374820.8749640.562518
100.3315630.6631260.668437
110.2311050.4622090.768895
120.4984210.9968410.501579
130.7775550.444890.222445
140.7528980.4942040.247102
150.8870270.2259450.112973
160.8468950.306210.153105
170.8147210.3705570.185279
180.8152370.3695260.184763
190.7710970.4578060.228903
200.7282380.5435230.271762
210.7631920.4736170.236808
220.8248550.350290.175145
230.7840730.4318530.215927
240.7858340.4283320.214166
250.7487580.5024840.251242
260.9361230.1277540.0638768
270.9203480.1593030.0796517
280.8973020.2053950.102698
290.8688030.2623940.131197
300.9024680.1950640.0975322
310.8840580.2318840.115942
320.8639590.2720820.136041
330.853010.293980.14699
340.8215420.3569150.178458
350.7893360.4213280.210664
360.7630550.473890.236945
370.8704170.2591660.129583
380.8422650.3154710.157735
390.8490270.3019460.150973
400.8319050.336190.168095
410.7988760.4022480.201124
420.7783170.4433660.221683
430.7426310.5147380.257369
440.7414690.5170620.258531
450.7026330.5947350.297367
460.7153180.5693630.284682
470.6801160.6397680.319884
480.640290.7194190.35971
490.6429030.7141950.357097
500.6140830.7718330.385917
510.5872080.8255850.412792
520.5428760.9142480.457124
530.5532330.8935330.446767
540.5550490.8899030.444951
550.5166010.9667980.483399
560.4772860.9545720.522714
570.4449010.8898030.555099
580.4051050.8102090.594895
590.4039130.8078270.596087
600.4103580.8207160.589642
610.5832410.8335190.416759
620.5622420.8755160.437758
630.6069570.7860860.393043
640.5668960.8662080.433104
650.5271540.9456920.472846
660.5166720.9666560.483328
670.4970830.9941650.502917
680.4728710.9457420.527129
690.5330250.933950.466975
700.5307280.9385440.469272
710.5104980.9790050.489502
720.5366610.9266770.463339
730.5027650.994470.497235
740.4643530.9287060.535647
750.4266890.8533790.573311
760.410530.821060.58947
770.4337910.8675820.566209
780.397850.79570.60215
790.3921870.7843750.607813
800.3581410.7162830.641859
810.3293830.6587650.670617
820.2993910.5987820.700609
830.292470.5849390.70753
840.268440.5368810.73156
850.2377670.4755350.762233
860.2122670.4245340.787733
870.1853940.3707880.814606
880.1628610.3257210.837139
890.3727640.7455280.627236
900.4219430.8438850.578057
910.3927170.7854340.607283
920.3594560.7189120.640544
930.3287760.6575520.671224
940.2958640.5917280.704136
950.2791940.5583880.720806
960.2742430.5484850.725757
970.2446880.4893750.755312
980.2576120.5152250.742388
990.2361390.4722780.763861
1000.2423770.4847530.757623
1010.2396110.4792220.760389
1020.2180070.4360150.781993
1030.2194590.4389190.780541
1040.1959390.3918770.804061
1050.276420.552840.72358
1060.2601150.5202290.739885
1070.2325610.4651230.767439
1080.2924780.5849550.707522
1090.3515820.7031630.648418
1100.3252560.6505120.674744
1110.3399630.6799260.660037
1120.3202960.6405920.679704
1130.2916440.5832870.708356
1140.3813910.7627820.618609
1150.3640790.7281580.635921
1160.3315720.6631430.668428
1170.3002540.6005070.699746
1180.2711630.5423250.728837
1190.2425220.4850450.757478
1200.2266350.453270.773365
1210.2025110.4050220.797489
1220.1842750.368550.815725
1230.1635580.3271150.836442
1240.1477940.2955890.852206
1250.1306310.2612620.869369
1260.1420870.2841740.857913
1270.1399230.2798450.860077
1280.2257380.4514760.774262
1290.2126060.4252110.787394
1300.1905730.3811460.809427
1310.2232590.4465180.776741
1320.2004240.4008480.799576
1330.1957430.3914860.804257
1340.1785110.3570210.821489
1350.1799390.3598770.820061
1360.1727530.3455060.827247
1370.1513710.3027420.848629
1380.144320.288640.85568
1390.1348410.2696810.865159
1400.1165870.2331740.883413
1410.1040670.2081330.895933
1420.1049820.2099650.895018
1430.09003630.1800730.909964
1440.08190920.1638180.918091
1450.09046390.1809280.909536
1460.0880410.1760820.911959
1470.08789750.1757950.912103
1480.08018960.1603790.91981
1490.1129370.2258740.887063
1500.1253720.2507440.874628
1510.1117480.2234960.888252
1520.111810.223620.88819
1530.1049950.2099910.895005
1540.1718540.3437080.828146
1550.1503010.3006020.849699
1560.1400940.2801880.859906
1570.1211170.2422350.878883
1580.19850.3969990.8015
1590.1765740.3531480.823426
1600.1588770.3177540.841123
1610.1387120.2774240.861288
1620.1452570.2905130.854743
1630.1308290.2616570.869171
1640.1269130.2538270.873087
1650.1437220.2874430.856278
1660.1274570.2549130.872543
1670.1127710.2255420.887229
1680.09700080.1940020.902999
1690.1228930.2457850.877107
1700.1627890.3255790.837211
1710.1511050.302210.848895
1720.1555920.3111850.844408
1730.1884160.3768310.811584
1740.1693020.3386040.830698
1750.1909010.3818010.809099
1760.1664720.3329430.833528
1770.1976550.3953090.802345
1780.1737440.3474870.826256
1790.1893070.3786150.810693
1800.1767460.3534920.823254
1810.1550650.3101290.844935
1820.1344130.2688260.865587
1830.12050.2410.8795
1840.1045570.2091140.895443
1850.1464880.2929750.853512
1860.1257390.2514790.874261
1870.1075420.2150840.892458
1880.1043620.2087250.895638
1890.08923570.1784710.910764
1900.07923620.1584720.920764
1910.07376460.1475290.926235
1920.06165890.1233180.938341
1930.06123660.1224730.938763
1940.05984670.1196930.940153
1950.05825720.1165140.941743
1960.05008810.1001760.949912
1970.04151260.08302530.958487
1980.03389960.06779910.9661
1990.06136580.1227320.938634
2000.04990070.09980140.950099
2010.07118050.1423610.928819
2020.06943930.1388790.930561
2030.1110550.222110.888945
2040.09314010.186280.90686
2050.08595890.1719180.914041
2060.07890950.1578190.921091
2070.06539880.1307980.934601
2080.06836660.1367330.931633
2090.05615210.1123040.943848
2100.0625210.1250420.937479
2110.07520960.1504190.92479
2120.09219820.1843960.907802
2130.08296730.1659350.917033
2140.08856820.1771360.911432
2150.08370910.1674180.916291
2160.08008040.1601610.91992
2170.1039970.2079950.896003
2180.08998560.1799710.910014
2190.1412410.2824830.858759
2200.1352090.2704180.864791
2210.1193120.2386240.880688
2220.1419730.2839470.858027
2230.1468780.2937560.853122
2240.1510860.3021730.848914
2250.177070.3541390.82293
2260.2676420.5352840.732358
2270.5848570.8302870.415143
2280.532750.9344990.46725
2290.6266790.7466430.373321
2300.5830930.8338140.416907
2310.5490470.9019050.450953
2320.5661830.8676340.433817
2330.5662030.8675930.433797
2340.5079740.9840520.492026
2350.6009920.7980170.399008
2360.5511890.8976220.448811
2370.4912830.9825670.508717
2380.4373890.8747790.562611
2390.4402350.880470.559765
2400.381350.76270.61865
2410.3184040.6368080.681596
2420.4481470.8962950.551853
2430.3774780.7549570.622522
2440.3111420.6222840.688858
2450.3402620.6805240.659738
2460.3377660.6755310.662234
2470.2666390.5332770.733361
2480.2757070.5514140.724293
2490.2979910.5959830.702009
2500.2416010.4832010.758399
2510.1983540.3967070.801646
2520.140950.28190.85905
2530.1074790.2149590.892521
2540.07082740.1416550.929173
2550.04899020.09798040.95101
2560.02503070.05006130.974969






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level50.0200803OK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 0 & 0 & OK \tabularnewline
10% type I error level & 5 & 0.0200803 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226205&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]5[/C][C]0.0200803[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226205&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226205&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level50.0200803OK


Figures (Output of Computation)

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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')
}