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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationWed, 17 Jul 2013 10:47:45 -0400
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/Jul/17/t1374072513kxkea4oqoldsn4v.htm/, Retrieved Thu, 02 May 2024 20:00:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=210792, Retrieved Thu, 02 May 2024 20:00:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact176

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [D PhilBonsai] [2013-07-17 14:34:17] [74be16979710d4c4e7c6647856088456]
- R  D    [Multiple Regression] [] [2013-07-17 14:47:45] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
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Boxplots 
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time15 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 15 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210792&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]15 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210792&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210792&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 time15 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
A[t] = -0.223706 + 0.391704B[t] -0.110087C[t] + 0.270998D[t] -0.355496E[t] + 0.566939F[t] -0.384157G[t] + 0.0260722H[t] + 0.426571I[t] + 0.532755K[t] -0.348162L[t] + 0.157803M[t] + 0.25153N[t] -0.000333753t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
A[t] =  -0.223706 +  0.391704B[t] -0.110087C[t] +  0.270998D[t] -0.355496E[t] +  0.566939F[t] -0.384157G[t] +  0.0260722H[t] +  0.426571I[t] +  0.532755K[t] -0.348162L[t] +  0.157803M[t] +  0.25153N[t] -0.000333753t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210792&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]A[t] =  -0.223706 +  0.391704B[t] -0.110087C[t] +  0.270998D[t] -0.355496E[t] +  0.566939F[t] -0.384157G[t] +  0.0260722H[t] +  0.426571I[t] +  0.532755K[t] -0.348162L[t] +  0.157803M[t] +  0.25153N[t] -0.000333753t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210792&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210792&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
A[t] = -0.223706 + 0.391704B[t] -0.110087C[t] + 0.270998D[t] -0.355496E[t] + 0.566939F[t] -0.384157G[t] + 0.0260722H[t] + 0.426571I[t] + 0.532755K[t] -0.348162L[t] + 0.157803M[t] + 0.25153N[t] -0.000333753t + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-0.2237060.0531039-4.2133.569e-051.7845e-05
B0.3917040.04342769.026.06885e-173.03443e-17
C-0.1100870.0489448-2.2490.02540250.0127013
D0.2709980.06644154.0796.15632e-053.07816e-05
E-0.3554960.0453768-7.8341.50328e-137.51642e-14
F0.5669390.04292913.212.52957e-301.26479e-30
G-0.3841570.0700227-5.4861.03699e-075.18494e-08
H0.02607220.08490530.30710.7590520.379526
I0.4265710.08155045.2313.66548e-071.83274e-07
K0.5327550.08591076.2012.41507e-091.20753e-09
L-0.3481620.0814155-4.2762.73975e-051.36988e-05
M0.1578030.09649821.6350.1032920.0516461
N0.251530.06691643.7590.0002142150.000107107
t-0.0003337530.000299579-1.1140.2663570.133179

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & -0.223706 & 0.0531039 & -4.213 & 3.569e-05 & 1.7845e-05 \tabularnewline
B & 0.391704 & 0.0434276 & 9.02 & 6.06885e-17 & 3.03443e-17 \tabularnewline
C & -0.110087 & 0.0489448 & -2.249 & 0.0254025 & 0.0127013 \tabularnewline
D & 0.270998 & 0.0664415 & 4.079 & 6.15632e-05 & 3.07816e-05 \tabularnewline
E & -0.355496 & 0.0453768 & -7.834 & 1.50328e-13 & 7.51642e-14 \tabularnewline
F & 0.566939 & 0.042929 & 13.21 & 2.52957e-30 & 1.26479e-30 \tabularnewline
G & -0.384157 & 0.0700227 & -5.486 & 1.03699e-07 & 5.18494e-08 \tabularnewline
H & 0.0260722 & 0.0849053 & 0.3071 & 0.759052 & 0.379526 \tabularnewline
I & 0.426571 & 0.0815504 & 5.231 & 3.66548e-07 & 1.83274e-07 \tabularnewline
K & 0.532755 & 0.0859107 & 6.201 & 2.41507e-09 & 1.20753e-09 \tabularnewline
L & -0.348162 & 0.0814155 & -4.276 & 2.73975e-05 & 1.36988e-05 \tabularnewline
M & 0.157803 & 0.0964982 & 1.635 & 0.103292 & 0.0516461 \tabularnewline
N & 0.25153 & 0.0669164 & 3.759 & 0.000214215 & 0.000107107 \tabularnewline
t & -0.000333753 & 0.000299579 & -1.114 & 0.266357 & 0.133179 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210792&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]-0.223706[/C][C]0.0531039[/C][C]-4.213[/C][C]3.569e-05[/C][C]1.7845e-05[/C][/ROW]
[ROW][C]B[/C][C]0.391704[/C][C]0.0434276[/C][C]9.02[/C][C]6.06885e-17[/C][C]3.03443e-17[/C][/ROW]
[ROW][C]C[/C][C]-0.110087[/C][C]0.0489448[/C][C]-2.249[/C][C]0.0254025[/C][C]0.0127013[/C][/ROW]
[ROW][C]D[/C][C]0.270998[/C][C]0.0664415[/C][C]4.079[/C][C]6.15632e-05[/C][C]3.07816e-05[/C][/ROW]
[ROW][C]E[/C][C]-0.355496[/C][C]0.0453768[/C][C]-7.834[/C][C]1.50328e-13[/C][C]7.51642e-14[/C][/ROW]
[ROW][C]F[/C][C]0.566939[/C][C]0.042929[/C][C]13.21[/C][C]2.52957e-30[/C][C]1.26479e-30[/C][/ROW]
[ROW][C]G[/C][C]-0.384157[/C][C]0.0700227[/C][C]-5.486[/C][C]1.03699e-07[/C][C]5.18494e-08[/C][/ROW]
[ROW][C]H[/C][C]0.0260722[/C][C]0.0849053[/C][C]0.3071[/C][C]0.759052[/C][C]0.379526[/C][/ROW]
[ROW][C]I[/C][C]0.426571[/C][C]0.0815504[/C][C]5.231[/C][C]3.66548e-07[/C][C]1.83274e-07[/C][/ROW]
[ROW][C]K[/C][C]0.532755[/C][C]0.0859107[/C][C]6.201[/C][C]2.41507e-09[/C][C]1.20753e-09[/C][/ROW]
[ROW][C]L[/C][C]-0.348162[/C][C]0.0814155[/C][C]-4.276[/C][C]2.73975e-05[/C][C]1.36988e-05[/C][/ROW]
[ROW][C]M[/C][C]0.157803[/C][C]0.0964982[/C][C]1.635[/C][C]0.103292[/C][C]0.0516461[/C][/ROW]
[ROW][C]N[/C][C]0.25153[/C][C]0.0669164[/C][C]3.759[/C][C]0.000214215[/C][C]0.000107107[/C][/ROW]
[ROW][C]t[/C][C]-0.000333753[/C][C]0.000299579[/C][C]-1.114[/C][C]0.266357[/C][C]0.133179[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210792&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210792&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-0.2237060.0531039-4.2133.569e-051.7845e-05
B0.3917040.04342769.026.06885e-173.03443e-17
C-0.1100870.0489448-2.2490.02540250.0127013
D0.2709980.06644154.0796.15632e-053.07816e-05
E-0.3554960.0453768-7.8341.50328e-137.51642e-14
F0.5669390.04292913.212.52957e-301.26479e-30
G-0.3841570.0700227-5.4861.03699e-075.18494e-08
H0.02607220.08490530.30710.7590520.379526
I0.4265710.08155045.2313.66548e-071.83274e-07
K0.5327550.08591076.2012.41507e-091.20753e-09
L-0.3481620.0814155-4.2762.73975e-051.36988e-05
M0.1578030.09649821.6350.1032920.0516461
N0.251530.06691643.7590.0002142150.000107107
t-0.0003337530.000299579-1.1140.2663570.133179






Multiple Linear Regression - Regression Statistics
Multiple R0.91519
R-squared0.837573
Adjusted R-squared0.828811
F-TEST (value)95.5956
F-TEST (DF numerator)13
F-TEST (DF denominator)241
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.303904
Sum Squared Residuals22.2582

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.91519 \tabularnewline
R-squared & 0.837573 \tabularnewline
Adjusted R-squared & 0.828811 \tabularnewline
F-TEST (value) & 95.5956 \tabularnewline
F-TEST (DF numerator) & 13 \tabularnewline
F-TEST (DF denominator) & 241 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.303904 \tabularnewline
Sum Squared Residuals & 22.2582 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210792&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.91519[/C][/ROW]
[ROW][C]R-squared[/C][C]0.837573[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.828811[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]95.5956[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]13[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]241[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.303904[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]22.2582[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210792&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210792&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 R0.91519
R-squared0.837573
Adjusted R-squared0.828811
F-TEST (value)95.5956
F-TEST (DF numerator)13
F-TEST (DF denominator)241
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.303904
Sum Squared Residuals22.2582






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
100.167664-0.167664
200.16733-0.16733
30-0.7674540.767454
400.166663-0.166663
500.166329-0.166329
600.165995-0.165995
700.165661-0.165661
80-0.3134630.313463
900.164994-0.164994
1000.16466-0.16466
1110.6868540.313146
1200.434991-0.434991
130-0.06713420.0671342
140-0.4903910.490391
1500.162991-0.162991
1600.162658-0.162658
1700.0416182-0.0416182
1800.000810783-0.000810783
190-0.3810910.381091
200-0.06947040.0694704
2100.434508-0.434508
2200.386918-0.386918
2300.160321-0.160321
2410.05602170.943978
2510.2180230.781977
2611.03317-0.0331697
2700.158986-0.158986
2800.0814884-0.0814884
2900.158319-0.158319
300-0.03039410.0303941
3100.704463-0.704463
3200.157318-0.157318
330-0.05706940.0570694
3400.317561-0.317561
3500.439201-0.439201
3600.172841-0.172841
370-0.2360550.236055
3800.155315-0.155315
3900.154981-0.154981
4000.18072-0.18072
4110.9250940.0749061
4210.602720.39728
430-0.07714670.0771467
4400.153312-0.153312
4510.7228320.277168
4610.1678290.832171
4710.9624060.037594
4800.151977-0.151977
490-0.02224710.0222471
501-0.02871751.02872
5111.22803-0.228027
5200.676625-0.676625
530-0.2413950.241395
540-0.2417290.241729
5500.206586-0.206586
5610.1018950.898105
5700.148974-0.148974
5821.939130.0608691
5900.148306-0.148306
6000.147972-0.147972
6100.308549-0.308549
6210.1860730.813927
6300.404133-0.404133
640-0.08415560.0841556
6500.146304-0.146304
6610.7158230.284177
6710.160820.83918
6821.935790.0642066
6900.144969-0.144969
7000.305545-0.305545
7100.401463-0.401463
7200.143967-0.143967
730-0.08715930.0871593
7400.416819-0.416819
7500.142966-0.142966
7610.2010020.798998
7711.01615-0.0161483
7800.141965-0.141965
7900.688442-0.688442
8000.141297-0.141297
8100.301874-0.301874
820-0.09016310.0901631
8300.366559-0.366559
8410.03599660.964003
8500.139629-0.139629
8600.0621307-0.0621307
870-0.0494180.049418
880-0.07542580.0754258
8900.299204-0.299204
9000.154818-0.154818
910-0.2540770.254077
9200.137292-0.137292
930-0.07709460.0770946
9400.41951-0.41951
9500.153149-0.153149
960-0.2557460.255746
9700.135624-0.135624
9800.13529-0.13529
9910.9057360.0942638
10010.5833620.416638
10110.1494720.850528
10200.133955-0.133955
10300.294532-0.294532
10400.390449-0.390449
10500.132954-0.132954
10611.00647-0.00646944
10700.679097-0.679097
10800.131952-0.131952
10900.0544544-0.0544544
1100-0.08276840.0827684
11100.291862-0.291862
11200.147476-0.147476
1130-0.261420.26142
1140-0.08410340.0841034
11500.146474-0.146474
1160-0.2624210.262421
11700.128949-0.128949
11810.8993950.100605
1190-0.2634230.263423
1200-0.2637560.263756
1210-0.264090.26409
1220-0.2644240.264424
1230-0.2647580.264758
1240-0.2650910.265091
1250-0.2654250.265425
1260-0.2657590.265759
1270-0.2660930.266093
1280-0.2664260.266426
1290-0.266760.26676
13000.381772-0.381772
13100.397796-0.397796
13200.123942-0.123942
13310.9974580.00254189
13400.123275-0.123275
1350-0.1078520.107852
13600.34887-0.34887
1370-0.06610570.0661057
13800.28285-0.28285
1390-0.09244720.0924472
14000.404157-0.404157
14100.120938-0.120938
14210.5693450.430655
14300.120271-0.120271
14400.280848-0.280848
14521.910090.0899056
14621.909760.0902394
14700.376098-0.376098
14800.392122-0.392122
14900.118268-0.118268
15010.9917840.00821569
15100.117601-0.117601
1520-0.1135260.113526
15300.343196-0.343196
1540-0.07177950.0717795
15500.277177-0.277177
1560-0.0981210.098121
15700.398483-0.398483
15800.115265-0.115265
15910.5636710.436329
16000.114597-0.114597
16100.275174-0.275174
16221.904420.0955794
16321.904090.0959132
16400.13012-0.13012
1650-0.2787750.278775
1660-0.1014590.101459
16700.112261-0.112261
16810.8827070.117293
16921.902080.0979157
17021.901750.0982494
17121.901420.0985832
17221.901080.0989169
17321.900750.0992507
17400.367087-0.367087
17500.38311-0.38311
17600.109257-0.109257
17700.335186-0.335186
17800.10859-0.10859
17910.5569960.443004
18021.898410.101587
18100.36475-0.36475
18210.9811040.0188958
18300.106921-0.106921
18421.897080.102922
18500.123112-0.123112
1860-0.2857840.285784
1870-0.1084670.108467
18800.105252-0.105252
18910.8756980.124302
19021.895080.104924
19121.894740.105258
19221.894410.105592
19321.894070.105926
19421.893740.106259
19500.360078-0.360078
19600.376102-0.376102
19700.102248-0.102248
19800.328177-0.328177
19900.127653-0.127653
20010.5499870.450013
20100.117772-0.117772
2020-0.2911240.291124
2030-0.1138070.113807
20400.099912-0.099912
20510.8703580.129642
20621.889740.110265
20721.88940.110598
20821.889070.110932
20921.888730.111266
21021.88840.1116
21100.354738-0.354738
21200.1141-0.1141
2130-0.2947950.294795
2140-0.1174790.117479
21500.0962408-0.0962408
21610.8666870.133313
21721.886060.113936
21821.885730.11427
21921.88540.114603
22021.885060.114937
22121.884730.115271
22200.351066-0.351066
22300.36709-0.36709
22400.093237-0.093237
22500.319166-0.319166
22600.0925695-0.0925695
22710.5409760.459024
22821.882390.117607
22900.34873-0.34873
23010.9650840.0349159
23100.0909007-0.0909007
23221.881060.118942
23300.107091-0.107091
2340-0.3018040.301804
2350-0.1244870.124487
23600.0892319-0.0892319
23710.8596780.140322
23821.879060.120945
23921.878720.121278
24021.878390.121612
24121.878050.121946
24221.877720.12228
24300.344058-0.344058
24400.360081-0.360081
24500.0862282-0.0862282
24600.312157-0.312157
24700.111633-0.111633
24810.5339670.466033
24921.875380.124616
25000.341721-0.341721
25110.9580750.0419247
25200.0838919-0.0838919
25321.874050.125951
2540-0.1308290.130829
25510.5316310.468369

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 0 & 0.167664 & -0.167664 \tabularnewline
2 & 0 & 0.16733 & -0.16733 \tabularnewline
3 & 0 & -0.767454 & 0.767454 \tabularnewline
4 & 0 & 0.166663 & -0.166663 \tabularnewline
5 & 0 & 0.166329 & -0.166329 \tabularnewline
6 & 0 & 0.165995 & -0.165995 \tabularnewline
7 & 0 & 0.165661 & -0.165661 \tabularnewline
8 & 0 & -0.313463 & 0.313463 \tabularnewline
9 & 0 & 0.164994 & -0.164994 \tabularnewline
10 & 0 & 0.16466 & -0.16466 \tabularnewline
11 & 1 & 0.686854 & 0.313146 \tabularnewline
12 & 0 & 0.434991 & -0.434991 \tabularnewline
13 & 0 & -0.0671342 & 0.0671342 \tabularnewline
14 & 0 & -0.490391 & 0.490391 \tabularnewline
15 & 0 & 0.162991 & -0.162991 \tabularnewline
16 & 0 & 0.162658 & -0.162658 \tabularnewline
17 & 0 & 0.0416182 & -0.0416182 \tabularnewline
18 & 0 & 0.000810783 & -0.000810783 \tabularnewline
19 & 0 & -0.381091 & 0.381091 \tabularnewline
20 & 0 & -0.0694704 & 0.0694704 \tabularnewline
21 & 0 & 0.434508 & -0.434508 \tabularnewline
22 & 0 & 0.386918 & -0.386918 \tabularnewline
23 & 0 & 0.160321 & -0.160321 \tabularnewline
24 & 1 & 0.0560217 & 0.943978 \tabularnewline
25 & 1 & 0.218023 & 0.781977 \tabularnewline
26 & 1 & 1.03317 & -0.0331697 \tabularnewline
27 & 0 & 0.158986 & -0.158986 \tabularnewline
28 & 0 & 0.0814884 & -0.0814884 \tabularnewline
29 & 0 & 0.158319 & -0.158319 \tabularnewline
30 & 0 & -0.0303941 & 0.0303941 \tabularnewline
31 & 0 & 0.704463 & -0.704463 \tabularnewline
32 & 0 & 0.157318 & -0.157318 \tabularnewline
33 & 0 & -0.0570694 & 0.0570694 \tabularnewline
34 & 0 & 0.317561 & -0.317561 \tabularnewline
35 & 0 & 0.439201 & -0.439201 \tabularnewline
36 & 0 & 0.172841 & -0.172841 \tabularnewline
37 & 0 & -0.236055 & 0.236055 \tabularnewline
38 & 0 & 0.155315 & -0.155315 \tabularnewline
39 & 0 & 0.154981 & -0.154981 \tabularnewline
40 & 0 & 0.18072 & -0.18072 \tabularnewline
41 & 1 & 0.925094 & 0.0749061 \tabularnewline
42 & 1 & 0.60272 & 0.39728 \tabularnewline
43 & 0 & -0.0771467 & 0.0771467 \tabularnewline
44 & 0 & 0.153312 & -0.153312 \tabularnewline
45 & 1 & 0.722832 & 0.277168 \tabularnewline
46 & 1 & 0.167829 & 0.832171 \tabularnewline
47 & 1 & 0.962406 & 0.037594 \tabularnewline
48 & 0 & 0.151977 & -0.151977 \tabularnewline
49 & 0 & -0.0222471 & 0.0222471 \tabularnewline
50 & 1 & -0.0287175 & 1.02872 \tabularnewline
51 & 1 & 1.22803 & -0.228027 \tabularnewline
52 & 0 & 0.676625 & -0.676625 \tabularnewline
53 & 0 & -0.241395 & 0.241395 \tabularnewline
54 & 0 & -0.241729 & 0.241729 \tabularnewline
55 & 0 & 0.206586 & -0.206586 \tabularnewline
56 & 1 & 0.101895 & 0.898105 \tabularnewline
57 & 0 & 0.148974 & -0.148974 \tabularnewline
58 & 2 & 1.93913 & 0.0608691 \tabularnewline
59 & 0 & 0.148306 & -0.148306 \tabularnewline
60 & 0 & 0.147972 & -0.147972 \tabularnewline
61 & 0 & 0.308549 & -0.308549 \tabularnewline
62 & 1 & 0.186073 & 0.813927 \tabularnewline
63 & 0 & 0.404133 & -0.404133 \tabularnewline
64 & 0 & -0.0841556 & 0.0841556 \tabularnewline
65 & 0 & 0.146304 & -0.146304 \tabularnewline
66 & 1 & 0.715823 & 0.284177 \tabularnewline
67 & 1 & 0.16082 & 0.83918 \tabularnewline
68 & 2 & 1.93579 & 0.0642066 \tabularnewline
69 & 0 & 0.144969 & -0.144969 \tabularnewline
70 & 0 & 0.305545 & -0.305545 \tabularnewline
71 & 0 & 0.401463 & -0.401463 \tabularnewline
72 & 0 & 0.143967 & -0.143967 \tabularnewline
73 & 0 & -0.0871593 & 0.0871593 \tabularnewline
74 & 0 & 0.416819 & -0.416819 \tabularnewline
75 & 0 & 0.142966 & -0.142966 \tabularnewline
76 & 1 & 0.201002 & 0.798998 \tabularnewline
77 & 1 & 1.01615 & -0.0161483 \tabularnewline
78 & 0 & 0.141965 & -0.141965 \tabularnewline
79 & 0 & 0.688442 & -0.688442 \tabularnewline
80 & 0 & 0.141297 & -0.141297 \tabularnewline
81 & 0 & 0.301874 & -0.301874 \tabularnewline
82 & 0 & -0.0901631 & 0.0901631 \tabularnewline
83 & 0 & 0.366559 & -0.366559 \tabularnewline
84 & 1 & 0.0359966 & 0.964003 \tabularnewline
85 & 0 & 0.139629 & -0.139629 \tabularnewline
86 & 0 & 0.0621307 & -0.0621307 \tabularnewline
87 & 0 & -0.049418 & 0.049418 \tabularnewline
88 & 0 & -0.0754258 & 0.0754258 \tabularnewline
89 & 0 & 0.299204 & -0.299204 \tabularnewline
90 & 0 & 0.154818 & -0.154818 \tabularnewline
91 & 0 & -0.254077 & 0.254077 \tabularnewline
92 & 0 & 0.137292 & -0.137292 \tabularnewline
93 & 0 & -0.0770946 & 0.0770946 \tabularnewline
94 & 0 & 0.41951 & -0.41951 \tabularnewline
95 & 0 & 0.153149 & -0.153149 \tabularnewline
96 & 0 & -0.255746 & 0.255746 \tabularnewline
97 & 0 & 0.135624 & -0.135624 \tabularnewline
98 & 0 & 0.13529 & -0.13529 \tabularnewline
99 & 1 & 0.905736 & 0.0942638 \tabularnewline
100 & 1 & 0.583362 & 0.416638 \tabularnewline
101 & 1 & 0.149472 & 0.850528 \tabularnewline
102 & 0 & 0.133955 & -0.133955 \tabularnewline
103 & 0 & 0.294532 & -0.294532 \tabularnewline
104 & 0 & 0.390449 & -0.390449 \tabularnewline
105 & 0 & 0.132954 & -0.132954 \tabularnewline
106 & 1 & 1.00647 & -0.00646944 \tabularnewline
107 & 0 & 0.679097 & -0.679097 \tabularnewline
108 & 0 & 0.131952 & -0.131952 \tabularnewline
109 & 0 & 0.0544544 & -0.0544544 \tabularnewline
110 & 0 & -0.0827684 & 0.0827684 \tabularnewline
111 & 0 & 0.291862 & -0.291862 \tabularnewline
112 & 0 & 0.147476 & -0.147476 \tabularnewline
113 & 0 & -0.26142 & 0.26142 \tabularnewline
114 & 0 & -0.0841034 & 0.0841034 \tabularnewline
115 & 0 & 0.146474 & -0.146474 \tabularnewline
116 & 0 & -0.262421 & 0.262421 \tabularnewline
117 & 0 & 0.128949 & -0.128949 \tabularnewline
118 & 1 & 0.899395 & 0.100605 \tabularnewline
119 & 0 & -0.263423 & 0.263423 \tabularnewline
120 & 0 & -0.263756 & 0.263756 \tabularnewline
121 & 0 & -0.26409 & 0.26409 \tabularnewline
122 & 0 & -0.264424 & 0.264424 \tabularnewline
123 & 0 & -0.264758 & 0.264758 \tabularnewline
124 & 0 & -0.265091 & 0.265091 \tabularnewline
125 & 0 & -0.265425 & 0.265425 \tabularnewline
126 & 0 & -0.265759 & 0.265759 \tabularnewline
127 & 0 & -0.266093 & 0.266093 \tabularnewline
128 & 0 & -0.266426 & 0.266426 \tabularnewline
129 & 0 & -0.26676 & 0.26676 \tabularnewline
130 & 0 & 0.381772 & -0.381772 \tabularnewline
131 & 0 & 0.397796 & -0.397796 \tabularnewline
132 & 0 & 0.123942 & -0.123942 \tabularnewline
133 & 1 & 0.997458 & 0.00254189 \tabularnewline
134 & 0 & 0.123275 & -0.123275 \tabularnewline
135 & 0 & -0.107852 & 0.107852 \tabularnewline
136 & 0 & 0.34887 & -0.34887 \tabularnewline
137 & 0 & -0.0661057 & 0.0661057 \tabularnewline
138 & 0 & 0.28285 & -0.28285 \tabularnewline
139 & 0 & -0.0924472 & 0.0924472 \tabularnewline
140 & 0 & 0.404157 & -0.404157 \tabularnewline
141 & 0 & 0.120938 & -0.120938 \tabularnewline
142 & 1 & 0.569345 & 0.430655 \tabularnewline
143 & 0 & 0.120271 & -0.120271 \tabularnewline
144 & 0 & 0.280848 & -0.280848 \tabularnewline
145 & 2 & 1.91009 & 0.0899056 \tabularnewline
146 & 2 & 1.90976 & 0.0902394 \tabularnewline
147 & 0 & 0.376098 & -0.376098 \tabularnewline
148 & 0 & 0.392122 & -0.392122 \tabularnewline
149 & 0 & 0.118268 & -0.118268 \tabularnewline
150 & 1 & 0.991784 & 0.00821569 \tabularnewline
151 & 0 & 0.117601 & -0.117601 \tabularnewline
152 & 0 & -0.113526 & 0.113526 \tabularnewline
153 & 0 & 0.343196 & -0.343196 \tabularnewline
154 & 0 & -0.0717795 & 0.0717795 \tabularnewline
155 & 0 & 0.277177 & -0.277177 \tabularnewline
156 & 0 & -0.098121 & 0.098121 \tabularnewline
157 & 0 & 0.398483 & -0.398483 \tabularnewline
158 & 0 & 0.115265 & -0.115265 \tabularnewline
159 & 1 & 0.563671 & 0.436329 \tabularnewline
160 & 0 & 0.114597 & -0.114597 \tabularnewline
161 & 0 & 0.275174 & -0.275174 \tabularnewline
162 & 2 & 1.90442 & 0.0955794 \tabularnewline
163 & 2 & 1.90409 & 0.0959132 \tabularnewline
164 & 0 & 0.13012 & -0.13012 \tabularnewline
165 & 0 & -0.278775 & 0.278775 \tabularnewline
166 & 0 & -0.101459 & 0.101459 \tabularnewline
167 & 0 & 0.112261 & -0.112261 \tabularnewline
168 & 1 & 0.882707 & 0.117293 \tabularnewline
169 & 2 & 1.90208 & 0.0979157 \tabularnewline
170 & 2 & 1.90175 & 0.0982494 \tabularnewline
171 & 2 & 1.90142 & 0.0985832 \tabularnewline
172 & 2 & 1.90108 & 0.0989169 \tabularnewline
173 & 2 & 1.90075 & 0.0992507 \tabularnewline
174 & 0 & 0.367087 & -0.367087 \tabularnewline
175 & 0 & 0.38311 & -0.38311 \tabularnewline
176 & 0 & 0.109257 & -0.109257 \tabularnewline
177 & 0 & 0.335186 & -0.335186 \tabularnewline
178 & 0 & 0.10859 & -0.10859 \tabularnewline
179 & 1 & 0.556996 & 0.443004 \tabularnewline
180 & 2 & 1.89841 & 0.101587 \tabularnewline
181 & 0 & 0.36475 & -0.36475 \tabularnewline
182 & 1 & 0.981104 & 0.0188958 \tabularnewline
183 & 0 & 0.106921 & -0.106921 \tabularnewline
184 & 2 & 1.89708 & 0.102922 \tabularnewline
185 & 0 & 0.123112 & -0.123112 \tabularnewline
186 & 0 & -0.285784 & 0.285784 \tabularnewline
187 & 0 & -0.108467 & 0.108467 \tabularnewline
188 & 0 & 0.105252 & -0.105252 \tabularnewline
189 & 1 & 0.875698 & 0.124302 \tabularnewline
190 & 2 & 1.89508 & 0.104924 \tabularnewline
191 & 2 & 1.89474 & 0.105258 \tabularnewline
192 & 2 & 1.89441 & 0.105592 \tabularnewline
193 & 2 & 1.89407 & 0.105926 \tabularnewline
194 & 2 & 1.89374 & 0.106259 \tabularnewline
195 & 0 & 0.360078 & -0.360078 \tabularnewline
196 & 0 & 0.376102 & -0.376102 \tabularnewline
197 & 0 & 0.102248 & -0.102248 \tabularnewline
198 & 0 & 0.328177 & -0.328177 \tabularnewline
199 & 0 & 0.127653 & -0.127653 \tabularnewline
200 & 1 & 0.549987 & 0.450013 \tabularnewline
201 & 0 & 0.117772 & -0.117772 \tabularnewline
202 & 0 & -0.291124 & 0.291124 \tabularnewline
203 & 0 & -0.113807 & 0.113807 \tabularnewline
204 & 0 & 0.099912 & -0.099912 \tabularnewline
205 & 1 & 0.870358 & 0.129642 \tabularnewline
206 & 2 & 1.88974 & 0.110265 \tabularnewline
207 & 2 & 1.8894 & 0.110598 \tabularnewline
208 & 2 & 1.88907 & 0.110932 \tabularnewline
209 & 2 & 1.88873 & 0.111266 \tabularnewline
210 & 2 & 1.8884 & 0.1116 \tabularnewline
211 & 0 & 0.354738 & -0.354738 \tabularnewline
212 & 0 & 0.1141 & -0.1141 \tabularnewline
213 & 0 & -0.294795 & 0.294795 \tabularnewline
214 & 0 & -0.117479 & 0.117479 \tabularnewline
215 & 0 & 0.0962408 & -0.0962408 \tabularnewline
216 & 1 & 0.866687 & 0.133313 \tabularnewline
217 & 2 & 1.88606 & 0.113936 \tabularnewline
218 & 2 & 1.88573 & 0.11427 \tabularnewline
219 & 2 & 1.8854 & 0.114603 \tabularnewline
220 & 2 & 1.88506 & 0.114937 \tabularnewline
221 & 2 & 1.88473 & 0.115271 \tabularnewline
222 & 0 & 0.351066 & -0.351066 \tabularnewline
223 & 0 & 0.36709 & -0.36709 \tabularnewline
224 & 0 & 0.093237 & -0.093237 \tabularnewline
225 & 0 & 0.319166 & -0.319166 \tabularnewline
226 & 0 & 0.0925695 & -0.0925695 \tabularnewline
227 & 1 & 0.540976 & 0.459024 \tabularnewline
228 & 2 & 1.88239 & 0.117607 \tabularnewline
229 & 0 & 0.34873 & -0.34873 \tabularnewline
230 & 1 & 0.965084 & 0.0349159 \tabularnewline
231 & 0 & 0.0909007 & -0.0909007 \tabularnewline
232 & 2 & 1.88106 & 0.118942 \tabularnewline
233 & 0 & 0.107091 & -0.107091 \tabularnewline
234 & 0 & -0.301804 & 0.301804 \tabularnewline
235 & 0 & -0.124487 & 0.124487 \tabularnewline
236 & 0 & 0.0892319 & -0.0892319 \tabularnewline
237 & 1 & 0.859678 & 0.140322 \tabularnewline
238 & 2 & 1.87906 & 0.120945 \tabularnewline
239 & 2 & 1.87872 & 0.121278 \tabularnewline
240 & 2 & 1.87839 & 0.121612 \tabularnewline
241 & 2 & 1.87805 & 0.121946 \tabularnewline
242 & 2 & 1.87772 & 0.12228 \tabularnewline
243 & 0 & 0.344058 & -0.344058 \tabularnewline
244 & 0 & 0.360081 & -0.360081 \tabularnewline
245 & 0 & 0.0862282 & -0.0862282 \tabularnewline
246 & 0 & 0.312157 & -0.312157 \tabularnewline
247 & 0 & 0.111633 & -0.111633 \tabularnewline
248 & 1 & 0.533967 & 0.466033 \tabularnewline
249 & 2 & 1.87538 & 0.124616 \tabularnewline
250 & 0 & 0.341721 & -0.341721 \tabularnewline
251 & 1 & 0.958075 & 0.0419247 \tabularnewline
252 & 0 & 0.0838919 & -0.0838919 \tabularnewline
253 & 2 & 1.87405 & 0.125951 \tabularnewline
254 & 0 & -0.130829 & 0.130829 \tabularnewline
255 & 1 & 0.531631 & 0.468369 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210792&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]0[/C][C]0.167664[/C][C]-0.167664[/C][/ROW]
[ROW][C]2[/C][C]0[/C][C]0.16733[/C][C]-0.16733[/C][/ROW]
[ROW][C]3[/C][C]0[/C][C]-0.767454[/C][C]0.767454[/C][/ROW]
[ROW][C]4[/C][C]0[/C][C]0.166663[/C][C]-0.166663[/C][/ROW]
[ROW][C]5[/C][C]0[/C][C]0.166329[/C][C]-0.166329[/C][/ROW]
[ROW][C]6[/C][C]0[/C][C]0.165995[/C][C]-0.165995[/C][/ROW]
[ROW][C]7[/C][C]0[/C][C]0.165661[/C][C]-0.165661[/C][/ROW]
[ROW][C]8[/C][C]0[/C][C]-0.313463[/C][C]0.313463[/C][/ROW]
[ROW][C]9[/C][C]0[/C][C]0.164994[/C][C]-0.164994[/C][/ROW]
[ROW][C]10[/C][C]0[/C][C]0.16466[/C][C]-0.16466[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]0.686854[/C][C]0.313146[/C][/ROW]
[ROW][C]12[/C][C]0[/C][C]0.434991[/C][C]-0.434991[/C][/ROW]
[ROW][C]13[/C][C]0[/C][C]-0.0671342[/C][C]0.0671342[/C][/ROW]
[ROW][C]14[/C][C]0[/C][C]-0.490391[/C][C]0.490391[/C][/ROW]
[ROW][C]15[/C][C]0[/C][C]0.162991[/C][C]-0.162991[/C][/ROW]
[ROW][C]16[/C][C]0[/C][C]0.162658[/C][C]-0.162658[/C][/ROW]
[ROW][C]17[/C][C]0[/C][C]0.0416182[/C][C]-0.0416182[/C][/ROW]
[ROW][C]18[/C][C]0[/C][C]0.000810783[/C][C]-0.000810783[/C][/ROW]
[ROW][C]19[/C][C]0[/C][C]-0.381091[/C][C]0.381091[/C][/ROW]
[ROW][C]20[/C][C]0[/C][C]-0.0694704[/C][C]0.0694704[/C][/ROW]
[ROW][C]21[/C][C]0[/C][C]0.434508[/C][C]-0.434508[/C][/ROW]
[ROW][C]22[/C][C]0[/C][C]0.386918[/C][C]-0.386918[/C][/ROW]
[ROW][C]23[/C][C]0[/C][C]0.160321[/C][C]-0.160321[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]0.0560217[/C][C]0.943978[/C][/ROW]
[ROW][C]25[/C][C]1[/C][C]0.218023[/C][C]0.781977[/C][/ROW]
[ROW][C]26[/C][C]1[/C][C]1.03317[/C][C]-0.0331697[/C][/ROW]
[ROW][C]27[/C][C]0[/C][C]0.158986[/C][C]-0.158986[/C][/ROW]
[ROW][C]28[/C][C]0[/C][C]0.0814884[/C][C]-0.0814884[/C][/ROW]
[ROW][C]29[/C][C]0[/C][C]0.158319[/C][C]-0.158319[/C][/ROW]
[ROW][C]30[/C][C]0[/C][C]-0.0303941[/C][C]0.0303941[/C][/ROW]
[ROW][C]31[/C][C]0[/C][C]0.704463[/C][C]-0.704463[/C][/ROW]
[ROW][C]32[/C][C]0[/C][C]0.157318[/C][C]-0.157318[/C][/ROW]
[ROW][C]33[/C][C]0[/C][C]-0.0570694[/C][C]0.0570694[/C][/ROW]
[ROW][C]34[/C][C]0[/C][C]0.317561[/C][C]-0.317561[/C][/ROW]
[ROW][C]35[/C][C]0[/C][C]0.439201[/C][C]-0.439201[/C][/ROW]
[ROW][C]36[/C][C]0[/C][C]0.172841[/C][C]-0.172841[/C][/ROW]
[ROW][C]37[/C][C]0[/C][C]-0.236055[/C][C]0.236055[/C][/ROW]
[ROW][C]38[/C][C]0[/C][C]0.155315[/C][C]-0.155315[/C][/ROW]
[ROW][C]39[/C][C]0[/C][C]0.154981[/C][C]-0.154981[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]0.18072[/C][C]-0.18072[/C][/ROW]
[ROW][C]41[/C][C]1[/C][C]0.925094[/C][C]0.0749061[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.60272[/C][C]0.39728[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]-0.0771467[/C][C]0.0771467[/C][/ROW]
[ROW][C]44[/C][C]0[/C][C]0.153312[/C][C]-0.153312[/C][/ROW]
[ROW][C]45[/C][C]1[/C][C]0.722832[/C][C]0.277168[/C][/ROW]
[ROW][C]46[/C][C]1[/C][C]0.167829[/C][C]0.832171[/C][/ROW]
[ROW][C]47[/C][C]1[/C][C]0.962406[/C][C]0.037594[/C][/ROW]
[ROW][C]48[/C][C]0[/C][C]0.151977[/C][C]-0.151977[/C][/ROW]
[ROW][C]49[/C][C]0[/C][C]-0.0222471[/C][C]0.0222471[/C][/ROW]
[ROW][C]50[/C][C]1[/C][C]-0.0287175[/C][C]1.02872[/C][/ROW]
[ROW][C]51[/C][C]1[/C][C]1.22803[/C][C]-0.228027[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0.676625[/C][C]-0.676625[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]-0.241395[/C][C]0.241395[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]-0.241729[/C][C]0.241729[/C][/ROW]
[ROW][C]55[/C][C]0[/C][C]0.206586[/C][C]-0.206586[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]0.101895[/C][C]0.898105[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]0.148974[/C][C]-0.148974[/C][/ROW]
[ROW][C]58[/C][C]2[/C][C]1.93913[/C][C]0.0608691[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]0.148306[/C][C]-0.148306[/C][/ROW]
[ROW][C]60[/C][C]0[/C][C]0.147972[/C][C]-0.147972[/C][/ROW]
[ROW][C]61[/C][C]0[/C][C]0.308549[/C][C]-0.308549[/C][/ROW]
[ROW][C]62[/C][C]1[/C][C]0.186073[/C][C]0.813927[/C][/ROW]
[ROW][C]63[/C][C]0[/C][C]0.404133[/C][C]-0.404133[/C][/ROW]
[ROW][C]64[/C][C]0[/C][C]-0.0841556[/C][C]0.0841556[/C][/ROW]
[ROW][C]65[/C][C]0[/C][C]0.146304[/C][C]-0.146304[/C][/ROW]
[ROW][C]66[/C][C]1[/C][C]0.715823[/C][C]0.284177[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]0.16082[/C][C]0.83918[/C][/ROW]
[ROW][C]68[/C][C]2[/C][C]1.93579[/C][C]0.0642066[/C][/ROW]
[ROW][C]69[/C][C]0[/C][C]0.144969[/C][C]-0.144969[/C][/ROW]
[ROW][C]70[/C][C]0[/C][C]0.305545[/C][C]-0.305545[/C][/ROW]
[ROW][C]71[/C][C]0[/C][C]0.401463[/C][C]-0.401463[/C][/ROW]
[ROW][C]72[/C][C]0[/C][C]0.143967[/C][C]-0.143967[/C][/ROW]
[ROW][C]73[/C][C]0[/C][C]-0.0871593[/C][C]0.0871593[/C][/ROW]
[ROW][C]74[/C][C]0[/C][C]0.416819[/C][C]-0.416819[/C][/ROW]
[ROW][C]75[/C][C]0[/C][C]0.142966[/C][C]-0.142966[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]0.201002[/C][C]0.798998[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]1.01615[/C][C]-0.0161483[/C][/ROW]
[ROW][C]78[/C][C]0[/C][C]0.141965[/C][C]-0.141965[/C][/ROW]
[ROW][C]79[/C][C]0[/C][C]0.688442[/C][C]-0.688442[/C][/ROW]
[ROW][C]80[/C][C]0[/C][C]0.141297[/C][C]-0.141297[/C][/ROW]
[ROW][C]81[/C][C]0[/C][C]0.301874[/C][C]-0.301874[/C][/ROW]
[ROW][C]82[/C][C]0[/C][C]-0.0901631[/C][C]0.0901631[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]0.366559[/C][C]-0.366559[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]0.0359966[/C][C]0.964003[/C][/ROW]
[ROW][C]85[/C][C]0[/C][C]0.139629[/C][C]-0.139629[/C][/ROW]
[ROW][C]86[/C][C]0[/C][C]0.0621307[/C][C]-0.0621307[/C][/ROW]
[ROW][C]87[/C][C]0[/C][C]-0.049418[/C][C]0.049418[/C][/ROW]
[ROW][C]88[/C][C]0[/C][C]-0.0754258[/C][C]0.0754258[/C][/ROW]
[ROW][C]89[/C][C]0[/C][C]0.299204[/C][C]-0.299204[/C][/ROW]
[ROW][C]90[/C][C]0[/C][C]0.154818[/C][C]-0.154818[/C][/ROW]
[ROW][C]91[/C][C]0[/C][C]-0.254077[/C][C]0.254077[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]0.137292[/C][C]-0.137292[/C][/ROW]
[ROW][C]93[/C][C]0[/C][C]-0.0770946[/C][C]0.0770946[/C][/ROW]
[ROW][C]94[/C][C]0[/C][C]0.41951[/C][C]-0.41951[/C][/ROW]
[ROW][C]95[/C][C]0[/C][C]0.153149[/C][C]-0.153149[/C][/ROW]
[ROW][C]96[/C][C]0[/C][C]-0.255746[/C][C]0.255746[/C][/ROW]
[ROW][C]97[/C][C]0[/C][C]0.135624[/C][C]-0.135624[/C][/ROW]
[ROW][C]98[/C][C]0[/C][C]0.13529[/C][C]-0.13529[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]0.905736[/C][C]0.0942638[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]0.583362[/C][C]0.416638[/C][/ROW]
[ROW][C]101[/C][C]1[/C][C]0.149472[/C][C]0.850528[/C][/ROW]
[ROW][C]102[/C][C]0[/C][C]0.133955[/C][C]-0.133955[/C][/ROW]
[ROW][C]103[/C][C]0[/C][C]0.294532[/C][C]-0.294532[/C][/ROW]
[ROW][C]104[/C][C]0[/C][C]0.390449[/C][C]-0.390449[/C][/ROW]
[ROW][C]105[/C][C]0[/C][C]0.132954[/C][C]-0.132954[/C][/ROW]
[ROW][C]106[/C][C]1[/C][C]1.00647[/C][C]-0.00646944[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]0.679097[/C][C]-0.679097[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]0.131952[/C][C]-0.131952[/C][/ROW]
[ROW][C]109[/C][C]0[/C][C]0.0544544[/C][C]-0.0544544[/C][/ROW]
[ROW][C]110[/C][C]0[/C][C]-0.0827684[/C][C]0.0827684[/C][/ROW]
[ROW][C]111[/C][C]0[/C][C]0.291862[/C][C]-0.291862[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]0.147476[/C][C]-0.147476[/C][/ROW]
[ROW][C]113[/C][C]0[/C][C]-0.26142[/C][C]0.26142[/C][/ROW]
[ROW][C]114[/C][C]0[/C][C]-0.0841034[/C][C]0.0841034[/C][/ROW]
[ROW][C]115[/C][C]0[/C][C]0.146474[/C][C]-0.146474[/C][/ROW]
[ROW][C]116[/C][C]0[/C][C]-0.262421[/C][C]0.262421[/C][/ROW]
[ROW][C]117[/C][C]0[/C][C]0.128949[/C][C]-0.128949[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]0.899395[/C][C]0.100605[/C][/ROW]
[ROW][C]119[/C][C]0[/C][C]-0.263423[/C][C]0.263423[/C][/ROW]
[ROW][C]120[/C][C]0[/C][C]-0.263756[/C][C]0.263756[/C][/ROW]
[ROW][C]121[/C][C]0[/C][C]-0.26409[/C][C]0.26409[/C][/ROW]
[ROW][C]122[/C][C]0[/C][C]-0.264424[/C][C]0.264424[/C][/ROW]
[ROW][C]123[/C][C]0[/C][C]-0.264758[/C][C]0.264758[/C][/ROW]
[ROW][C]124[/C][C]0[/C][C]-0.265091[/C][C]0.265091[/C][/ROW]
[ROW][C]125[/C][C]0[/C][C]-0.265425[/C][C]0.265425[/C][/ROW]
[ROW][C]126[/C][C]0[/C][C]-0.265759[/C][C]0.265759[/C][/ROW]
[ROW][C]127[/C][C]0[/C][C]-0.266093[/C][C]0.266093[/C][/ROW]
[ROW][C]128[/C][C]0[/C][C]-0.266426[/C][C]0.266426[/C][/ROW]
[ROW][C]129[/C][C]0[/C][C]-0.26676[/C][C]0.26676[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]0.381772[/C][C]-0.381772[/C][/ROW]
[ROW][C]131[/C][C]0[/C][C]0.397796[/C][C]-0.397796[/C][/ROW]
[ROW][C]132[/C][C]0[/C][C]0.123942[/C][C]-0.123942[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]0.997458[/C][C]0.00254189[/C][/ROW]
[ROW][C]134[/C][C]0[/C][C]0.123275[/C][C]-0.123275[/C][/ROW]
[ROW][C]135[/C][C]0[/C][C]-0.107852[/C][C]0.107852[/C][/ROW]
[ROW][C]136[/C][C]0[/C][C]0.34887[/C][C]-0.34887[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]-0.0661057[/C][C]0.0661057[/C][/ROW]
[ROW][C]138[/C][C]0[/C][C]0.28285[/C][C]-0.28285[/C][/ROW]
[ROW][C]139[/C][C]0[/C][C]-0.0924472[/C][C]0.0924472[/C][/ROW]
[ROW][C]140[/C][C]0[/C][C]0.404157[/C][C]-0.404157[/C][/ROW]
[ROW][C]141[/C][C]0[/C][C]0.120938[/C][C]-0.120938[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0.569345[/C][C]0.430655[/C][/ROW]
[ROW][C]143[/C][C]0[/C][C]0.120271[/C][C]-0.120271[/C][/ROW]
[ROW][C]144[/C][C]0[/C][C]0.280848[/C][C]-0.280848[/C][/ROW]
[ROW][C]145[/C][C]2[/C][C]1.91009[/C][C]0.0899056[/C][/ROW]
[ROW][C]146[/C][C]2[/C][C]1.90976[/C][C]0.0902394[/C][/ROW]
[ROW][C]147[/C][C]0[/C][C]0.376098[/C][C]-0.376098[/C][/ROW]
[ROW][C]148[/C][C]0[/C][C]0.392122[/C][C]-0.392122[/C][/ROW]
[ROW][C]149[/C][C]0[/C][C]0.118268[/C][C]-0.118268[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0.991784[/C][C]0.00821569[/C][/ROW]
[ROW][C]151[/C][C]0[/C][C]0.117601[/C][C]-0.117601[/C][/ROW]
[ROW][C]152[/C][C]0[/C][C]-0.113526[/C][C]0.113526[/C][/ROW]
[ROW][C]153[/C][C]0[/C][C]0.343196[/C][C]-0.343196[/C][/ROW]
[ROW][C]154[/C][C]0[/C][C]-0.0717795[/C][C]0.0717795[/C][/ROW]
[ROW][C]155[/C][C]0[/C][C]0.277177[/C][C]-0.277177[/C][/ROW]
[ROW][C]156[/C][C]0[/C][C]-0.098121[/C][C]0.098121[/C][/ROW]
[ROW][C]157[/C][C]0[/C][C]0.398483[/C][C]-0.398483[/C][/ROW]
[ROW][C]158[/C][C]0[/C][C]0.115265[/C][C]-0.115265[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]0.563671[/C][C]0.436329[/C][/ROW]
[ROW][C]160[/C][C]0[/C][C]0.114597[/C][C]-0.114597[/C][/ROW]
[ROW][C]161[/C][C]0[/C][C]0.275174[/C][C]-0.275174[/C][/ROW]
[ROW][C]162[/C][C]2[/C][C]1.90442[/C][C]0.0955794[/C][/ROW]
[ROW][C]163[/C][C]2[/C][C]1.90409[/C][C]0.0959132[/C][/ROW]
[ROW][C]164[/C][C]0[/C][C]0.13012[/C][C]-0.13012[/C][/ROW]
[ROW][C]165[/C][C]0[/C][C]-0.278775[/C][C]0.278775[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]-0.101459[/C][C]0.101459[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]0.112261[/C][C]-0.112261[/C][/ROW]
[ROW][C]168[/C][C]1[/C][C]0.882707[/C][C]0.117293[/C][/ROW]
[ROW][C]169[/C][C]2[/C][C]1.90208[/C][C]0.0979157[/C][/ROW]
[ROW][C]170[/C][C]2[/C][C]1.90175[/C][C]0.0982494[/C][/ROW]
[ROW][C]171[/C][C]2[/C][C]1.90142[/C][C]0.0985832[/C][/ROW]
[ROW][C]172[/C][C]2[/C][C]1.90108[/C][C]0.0989169[/C][/ROW]
[ROW][C]173[/C][C]2[/C][C]1.90075[/C][C]0.0992507[/C][/ROW]
[ROW][C]174[/C][C]0[/C][C]0.367087[/C][C]-0.367087[/C][/ROW]
[ROW][C]175[/C][C]0[/C][C]0.38311[/C][C]-0.38311[/C][/ROW]
[ROW][C]176[/C][C]0[/C][C]0.109257[/C][C]-0.109257[/C][/ROW]
[ROW][C]177[/C][C]0[/C][C]0.335186[/C][C]-0.335186[/C][/ROW]
[ROW][C]178[/C][C]0[/C][C]0.10859[/C][C]-0.10859[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]0.556996[/C][C]0.443004[/C][/ROW]
[ROW][C]180[/C][C]2[/C][C]1.89841[/C][C]0.101587[/C][/ROW]
[ROW][C]181[/C][C]0[/C][C]0.36475[/C][C]-0.36475[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]0.981104[/C][C]0.0188958[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]0.106921[/C][C]-0.106921[/C][/ROW]
[ROW][C]184[/C][C]2[/C][C]1.89708[/C][C]0.102922[/C][/ROW]
[ROW][C]185[/C][C]0[/C][C]0.123112[/C][C]-0.123112[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]-0.285784[/C][C]0.285784[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]-0.108467[/C][C]0.108467[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]0.105252[/C][C]-0.105252[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]0.875698[/C][C]0.124302[/C][/ROW]
[ROW][C]190[/C][C]2[/C][C]1.89508[/C][C]0.104924[/C][/ROW]
[ROW][C]191[/C][C]2[/C][C]1.89474[/C][C]0.105258[/C][/ROW]
[ROW][C]192[/C][C]2[/C][C]1.89441[/C][C]0.105592[/C][/ROW]
[ROW][C]193[/C][C]2[/C][C]1.89407[/C][C]0.105926[/C][/ROW]
[ROW][C]194[/C][C]2[/C][C]1.89374[/C][C]0.106259[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]0.360078[/C][C]-0.360078[/C][/ROW]
[ROW][C]196[/C][C]0[/C][C]0.376102[/C][C]-0.376102[/C][/ROW]
[ROW][C]197[/C][C]0[/C][C]0.102248[/C][C]-0.102248[/C][/ROW]
[ROW][C]198[/C][C]0[/C][C]0.328177[/C][C]-0.328177[/C][/ROW]
[ROW][C]199[/C][C]0[/C][C]0.127653[/C][C]-0.127653[/C][/ROW]
[ROW][C]200[/C][C]1[/C][C]0.549987[/C][C]0.450013[/C][/ROW]
[ROW][C]201[/C][C]0[/C][C]0.117772[/C][C]-0.117772[/C][/ROW]
[ROW][C]202[/C][C]0[/C][C]-0.291124[/C][C]0.291124[/C][/ROW]
[ROW][C]203[/C][C]0[/C][C]-0.113807[/C][C]0.113807[/C][/ROW]
[ROW][C]204[/C][C]0[/C][C]0.099912[/C][C]-0.099912[/C][/ROW]
[ROW][C]205[/C][C]1[/C][C]0.870358[/C][C]0.129642[/C][/ROW]
[ROW][C]206[/C][C]2[/C][C]1.88974[/C][C]0.110265[/C][/ROW]
[ROW][C]207[/C][C]2[/C][C]1.8894[/C][C]0.110598[/C][/ROW]
[ROW][C]208[/C][C]2[/C][C]1.88907[/C][C]0.110932[/C][/ROW]
[ROW][C]209[/C][C]2[/C][C]1.88873[/C][C]0.111266[/C][/ROW]
[ROW][C]210[/C][C]2[/C][C]1.8884[/C][C]0.1116[/C][/ROW]
[ROW][C]211[/C][C]0[/C][C]0.354738[/C][C]-0.354738[/C][/ROW]
[ROW][C]212[/C][C]0[/C][C]0.1141[/C][C]-0.1141[/C][/ROW]
[ROW][C]213[/C][C]0[/C][C]-0.294795[/C][C]0.294795[/C][/ROW]
[ROW][C]214[/C][C]0[/C][C]-0.117479[/C][C]0.117479[/C][/ROW]
[ROW][C]215[/C][C]0[/C][C]0.0962408[/C][C]-0.0962408[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]0.866687[/C][C]0.133313[/C][/ROW]
[ROW][C]217[/C][C]2[/C][C]1.88606[/C][C]0.113936[/C][/ROW]
[ROW][C]218[/C][C]2[/C][C]1.88573[/C][C]0.11427[/C][/ROW]
[ROW][C]219[/C][C]2[/C][C]1.8854[/C][C]0.114603[/C][/ROW]
[ROW][C]220[/C][C]2[/C][C]1.88506[/C][C]0.114937[/C][/ROW]
[ROW][C]221[/C][C]2[/C][C]1.88473[/C][C]0.115271[/C][/ROW]
[ROW][C]222[/C][C]0[/C][C]0.351066[/C][C]-0.351066[/C][/ROW]
[ROW][C]223[/C][C]0[/C][C]0.36709[/C][C]-0.36709[/C][/ROW]
[ROW][C]224[/C][C]0[/C][C]0.093237[/C][C]-0.093237[/C][/ROW]
[ROW][C]225[/C][C]0[/C][C]0.319166[/C][C]-0.319166[/C][/ROW]
[ROW][C]226[/C][C]0[/C][C]0.0925695[/C][C]-0.0925695[/C][/ROW]
[ROW][C]227[/C][C]1[/C][C]0.540976[/C][C]0.459024[/C][/ROW]
[ROW][C]228[/C][C]2[/C][C]1.88239[/C][C]0.117607[/C][/ROW]
[ROW][C]229[/C][C]0[/C][C]0.34873[/C][C]-0.34873[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]0.965084[/C][C]0.0349159[/C][/ROW]
[ROW][C]231[/C][C]0[/C][C]0.0909007[/C][C]-0.0909007[/C][/ROW]
[ROW][C]232[/C][C]2[/C][C]1.88106[/C][C]0.118942[/C][/ROW]
[ROW][C]233[/C][C]0[/C][C]0.107091[/C][C]-0.107091[/C][/ROW]
[ROW][C]234[/C][C]0[/C][C]-0.301804[/C][C]0.301804[/C][/ROW]
[ROW][C]235[/C][C]0[/C][C]-0.124487[/C][C]0.124487[/C][/ROW]
[ROW][C]236[/C][C]0[/C][C]0.0892319[/C][C]-0.0892319[/C][/ROW]
[ROW][C]237[/C][C]1[/C][C]0.859678[/C][C]0.140322[/C][/ROW]
[ROW][C]238[/C][C]2[/C][C]1.87906[/C][C]0.120945[/C][/ROW]
[ROW][C]239[/C][C]2[/C][C]1.87872[/C][C]0.121278[/C][/ROW]
[ROW][C]240[/C][C]2[/C][C]1.87839[/C][C]0.121612[/C][/ROW]
[ROW][C]241[/C][C]2[/C][C]1.87805[/C][C]0.121946[/C][/ROW]
[ROW][C]242[/C][C]2[/C][C]1.87772[/C][C]0.12228[/C][/ROW]
[ROW][C]243[/C][C]0[/C][C]0.344058[/C][C]-0.344058[/C][/ROW]
[ROW][C]244[/C][C]0[/C][C]0.360081[/C][C]-0.360081[/C][/ROW]
[ROW][C]245[/C][C]0[/C][C]0.0862282[/C][C]-0.0862282[/C][/ROW]
[ROW][C]246[/C][C]0[/C][C]0.312157[/C][C]-0.312157[/C][/ROW]
[ROW][C]247[/C][C]0[/C][C]0.111633[/C][C]-0.111633[/C][/ROW]
[ROW][C]248[/C][C]1[/C][C]0.533967[/C][C]0.466033[/C][/ROW]
[ROW][C]249[/C][C]2[/C][C]1.87538[/C][C]0.124616[/C][/ROW]
[ROW][C]250[/C][C]0[/C][C]0.341721[/C][C]-0.341721[/C][/ROW]
[ROW][C]251[/C][C]1[/C][C]0.958075[/C][C]0.0419247[/C][/ROW]
[ROW][C]252[/C][C]0[/C][C]0.0838919[/C][C]-0.0838919[/C][/ROW]
[ROW][C]253[/C][C]2[/C][C]1.87405[/C][C]0.125951[/C][/ROW]
[ROW][C]254[/C][C]0[/C][C]-0.130829[/C][C]0.130829[/C][/ROW]
[ROW][C]255[/C][C]1[/C][C]0.531631[/C][C]0.468369[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210792&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210792&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
100.167664-0.167664
200.16733-0.16733
30-0.7674540.767454
400.166663-0.166663
500.166329-0.166329
600.165995-0.165995
700.165661-0.165661
80-0.3134630.313463
900.164994-0.164994
1000.16466-0.16466
1110.6868540.313146
1200.434991-0.434991
130-0.06713420.0671342
140-0.4903910.490391
1500.162991-0.162991
1600.162658-0.162658
1700.0416182-0.0416182
1800.000810783-0.000810783
190-0.3810910.381091
200-0.06947040.0694704
2100.434508-0.434508
2200.386918-0.386918
2300.160321-0.160321
2410.05602170.943978
2510.2180230.781977
2611.03317-0.0331697
2700.158986-0.158986
2800.0814884-0.0814884
2900.158319-0.158319
300-0.03039410.0303941
3100.704463-0.704463
3200.157318-0.157318
330-0.05706940.0570694
3400.317561-0.317561
3500.439201-0.439201
3600.172841-0.172841
370-0.2360550.236055
3800.155315-0.155315
3900.154981-0.154981
4000.18072-0.18072
4110.9250940.0749061
4210.602720.39728
430-0.07714670.0771467
4400.153312-0.153312
4510.7228320.277168
4610.1678290.832171
4710.9624060.037594
4800.151977-0.151977
490-0.02224710.0222471
501-0.02871751.02872
5111.22803-0.228027
5200.676625-0.676625
530-0.2413950.241395
540-0.2417290.241729
5500.206586-0.206586
5610.1018950.898105
5700.148974-0.148974
5821.939130.0608691
5900.148306-0.148306
6000.147972-0.147972
6100.308549-0.308549
6210.1860730.813927
6300.404133-0.404133
640-0.08415560.0841556
6500.146304-0.146304
6610.7158230.284177
6710.160820.83918
6821.935790.0642066
6900.144969-0.144969
7000.305545-0.305545
7100.401463-0.401463
7200.143967-0.143967
730-0.08715930.0871593
7400.416819-0.416819
7500.142966-0.142966
7610.2010020.798998
7711.01615-0.0161483
7800.141965-0.141965
7900.688442-0.688442
8000.141297-0.141297
8100.301874-0.301874
820-0.09016310.0901631
8300.366559-0.366559
8410.03599660.964003
8500.139629-0.139629
8600.0621307-0.0621307
870-0.0494180.049418
880-0.07542580.0754258
8900.299204-0.299204
9000.154818-0.154818
910-0.2540770.254077
9200.137292-0.137292
930-0.07709460.0770946
9400.41951-0.41951
9500.153149-0.153149
960-0.2557460.255746
9700.135624-0.135624
9800.13529-0.13529
9910.9057360.0942638
10010.5833620.416638
10110.1494720.850528
10200.133955-0.133955
10300.294532-0.294532
10400.390449-0.390449
10500.132954-0.132954
10611.00647-0.00646944
10700.679097-0.679097
10800.131952-0.131952
10900.0544544-0.0544544
1100-0.08276840.0827684
11100.291862-0.291862
11200.147476-0.147476
1130-0.261420.26142
1140-0.08410340.0841034
11500.146474-0.146474
1160-0.2624210.262421
11700.128949-0.128949
11810.8993950.100605
1190-0.2634230.263423
1200-0.2637560.263756
1210-0.264090.26409
1220-0.2644240.264424
1230-0.2647580.264758
1240-0.2650910.265091
1250-0.2654250.265425
1260-0.2657590.265759
1270-0.2660930.266093
1280-0.2664260.266426
1290-0.266760.26676
13000.381772-0.381772
13100.397796-0.397796
13200.123942-0.123942
13310.9974580.00254189
13400.123275-0.123275
1350-0.1078520.107852
13600.34887-0.34887
1370-0.06610570.0661057
13800.28285-0.28285
1390-0.09244720.0924472
14000.404157-0.404157
14100.120938-0.120938
14210.5693450.430655
14300.120271-0.120271
14400.280848-0.280848
14521.910090.0899056
14621.909760.0902394
14700.376098-0.376098
14800.392122-0.392122
14900.118268-0.118268
15010.9917840.00821569
15100.117601-0.117601
1520-0.1135260.113526
15300.343196-0.343196
1540-0.07177950.0717795
15500.277177-0.277177
1560-0.0981210.098121
15700.398483-0.398483
15800.115265-0.115265
15910.5636710.436329
16000.114597-0.114597
16100.275174-0.275174
16221.904420.0955794
16321.904090.0959132
16400.13012-0.13012
1650-0.2787750.278775
1660-0.1014590.101459
16700.112261-0.112261
16810.8827070.117293
16921.902080.0979157
17021.901750.0982494
17121.901420.0985832
17221.901080.0989169
17321.900750.0992507
17400.367087-0.367087
17500.38311-0.38311
17600.109257-0.109257
17700.335186-0.335186
17800.10859-0.10859
17910.5569960.443004
18021.898410.101587
18100.36475-0.36475
18210.9811040.0188958
18300.106921-0.106921
18421.897080.102922
18500.123112-0.123112
1860-0.2857840.285784
1870-0.1084670.108467
18800.105252-0.105252
18910.8756980.124302
19021.895080.104924
19121.894740.105258
19221.894410.105592
19321.894070.105926
19421.893740.106259
19500.360078-0.360078
19600.376102-0.376102
19700.102248-0.102248
19800.328177-0.328177
19900.127653-0.127653
20010.5499870.450013
20100.117772-0.117772
2020-0.2911240.291124
2030-0.1138070.113807
20400.099912-0.099912
20510.8703580.129642
20621.889740.110265
20721.88940.110598
20821.889070.110932
20921.888730.111266
21021.88840.1116
21100.354738-0.354738
21200.1141-0.1141
2130-0.2947950.294795
2140-0.1174790.117479
21500.0962408-0.0962408
21610.8666870.133313
21721.886060.113936
21821.885730.11427
21921.88540.114603
22021.885060.114937
22121.884730.115271
22200.351066-0.351066
22300.36709-0.36709
22400.093237-0.093237
22500.319166-0.319166
22600.0925695-0.0925695
22710.5409760.459024
22821.882390.117607
22900.34873-0.34873
23010.9650840.0349159
23100.0909007-0.0909007
23221.881060.118942
23300.107091-0.107091
2340-0.3018040.301804
2350-0.1244870.124487
23600.0892319-0.0892319
23710.8596780.140322
23821.879060.120945
23921.878720.121278
24021.878390.121612
24121.878050.121946
24221.877720.12228
24300.344058-0.344058
24400.360081-0.360081
24500.0862282-0.0862282
24600.312157-0.312157
24700.111633-0.111633
24810.5339670.466033
24921.875380.124616
25000.341721-0.341721
25110.9580750.0419247
25200.0838919-0.0838919
25321.874050.125951
2540-0.1308290.130829
25510.5316310.468369






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
178.97133e-471.79427e-461
181.65536e-623.31071e-621
193.0489e-786.09781e-781
206.54236e-951.30847e-941
213.76129e-1097.52258e-1091
222.66378e-1235.32755e-1231
232.40727e-1404.81455e-1401
242.83819e-085.67638e-081
253.14369e-056.28738e-050.999969
268.33454e-061.66691e-050.999992
272.23246e-064.46493e-060.999998
284.78799e-069.57598e-060.999995
291.3925e-062.785e-060.999999
303.81175e-077.62351e-071
311.10651e-062.21301e-060.999999
323.56859e-077.13718e-071
330.03292980.06585960.96707
340.0349920.06998410.965008
350.2906910.5813820.709309
360.2453640.4907280.754636
370.2467260.4934520.753274
380.2005050.4010090.799495
390.1605350.3210690.839465
400.1294110.2588220.870589
410.2295880.4591760.770412
420.6093130.7813750.390687
430.5553180.8893640.444682
440.5033410.9933170.496659
450.5220910.9558180.477909
460.5562350.8875290.443765
470.5167810.9664380.483219
480.4691950.938390.530805
490.5912650.817470.408735
500.6815010.6369980.318499
510.6899330.6201340.310067
520.6893490.6213030.310651
530.6601260.6797480.339874
540.6270620.7458750.372938
550.6251750.749650.374825
560.8622960.2754080.137704
570.8388450.3223110.161155
580.9877190.02456220.0122811
590.9849610.03007820.0150391
600.9816110.03677820.0183891
610.9812620.0374760.018738
620.9971320.005735630.00286782
630.9994630.001073980.000536988
640.9992520.001495370.000747687
650.9989810.002037590.00101879
660.9991120.001776050.000888025
670.9998630.0002733870.000136694
680.9999480.000104675.2335e-05
690.9999270.0001465457.32727e-05
700.9999220.0001565427.82709e-05
710.9999696.15115e-053.07557e-05
720.9999568.79794e-054.39897e-05
730.9999390.0001222226.11111e-05
740.9999470.0001054865.27428e-05
750.9999250.0001490097.45043e-05
760.9999992.12819e-061.06409e-06
770.9999983.23726e-061.61863e-06
780.9999984.88924e-062.44462e-06
7915.4466e-082.7233e-08
8018.68907e-084.34454e-08
8111.02529e-075.12645e-08
8211.60297e-078.01484e-08
8311.04491e-075.22457e-08
8411.12243e-135.61216e-14
8512.14876e-131.07438e-13
8613.84961e-131.9248e-13
8717.18904e-133.59452e-13
8811.18329e-125.91643e-13
8911.71662e-128.5831e-13
9012.26092e-121.13046e-12
9112.94626e-121.47313e-12
9215.43368e-122.71684e-12
9318.75214e-124.37607e-12
9415.28892e-122.64446e-12
9516.96069e-123.48035e-12
9619.21561e-124.6078e-12
9711.66359e-118.31797e-12
9812.96544e-111.48272e-11
9912.98696e-111.49348e-11
10016.56219e-123.2811e-12
10114.2932e-192.1466e-19
10219.37829e-194.68915e-19
10311.50826e-187.54129e-19
10416.27978e-193.13989e-19
10511.38122e-186.9061e-19
10612.21147e-181.10574e-18
10711.71671e-488.58356e-49
10817.14298e-483.57149e-48
10912.64059e-471.3203e-47
11011.11111e-475.55554e-48
11112.5101e-471.25505e-47
11212.87415e-471.43708e-47
11318.06208e-474.03104e-47
11412.27196e-471.13598e-47
11512.1017e-471.05085e-47
11616.37134e-473.18567e-47
11712.71955e-461.35978e-46
11816.76008e-463.38004e-46
11912.15725e-451.07863e-45
12017.17846e-453.58923e-45
12112.46844e-441.23422e-44
12218.71018e-444.35509e-44
12313.13642e-431.56821e-43
12411.14739e-425.73694e-43
12514.24901e-422.1245e-42
12611.58808e-417.94042e-42
12715.97574e-412.98787e-41
12812.25904e-401.12952e-40
12918.56379e-404.2819e-40
13018.46262e-404.23131e-40
13111.33979e-396.69896e-40
13215.12588e-392.56294e-39
13312.0011e-381.00055e-38
13417.54907e-383.77453e-38
13511.23932e-376.19661e-38
13612.33401e-371.167e-37
13716.96295e-373.48148e-37
13811.3215e-366.60749e-37
13914.28408e-372.14204e-37
14019.10256e-424.55128e-42
14114.07528e-412.03764e-41
14213.5314e-411.7657e-41
14311.56609e-407.83044e-41
14413.35541e-401.6777e-40
14511.75828e-408.79142e-41
14612.4129e-401.20645e-40
14714.30126e-402.15063e-40
14811.03713e-395.18565e-40
14914.68544e-392.34272e-39
15012.0598e-381.0299e-38
15119.1725e-384.58625e-38
15217.75286e-383.87643e-38
15312.22343e-371.11171e-37
15413.00705e-421.50353e-42
15511.4115e-417.0575e-42
15611.82826e-419.14129e-42
157100
158100
159100
160100
161100
162100
163100
164100
165100
166100
167100
168100
169100
170100
171100
172100
173100
174100
175100
176100
177100
178100
179100
180100
181100
182100
183100
184100
185100
186100
187100
188100
189100
190100
191100
192100
193100
194100
195100
196100
197100
198100
199100
200100
201100
202100
203100
204100
205100
206100
207100
208100
209100
210100
211100
212100
213100
214100
215100
216100
217100
218100
219100
22018.35563820246716e-3204.17781910123358e-320
22111.16596e-3015.82981e-302
22211.73427e-2868.67134e-287
22311.60016e-2728.00082e-273
22413.80301e-2561.90151e-256
22516.74076e-2393.37038e-239
22613.83715e-2241.91857e-224
22712.67062e-2081.33531e-208
22817.08969e-2003.54484e-200
22919.33232e-1804.66616e-180
23014.67646e-1672.33823e-167
23111.39183e-1526.95917e-153
23218.92285e-1364.46143e-136
23319.77236e-1254.88618e-125
23412.13894e-1051.06947e-105
23511.67915e-918.39575e-92
23611.72863e-768.64313e-77
23711.13369e-595.66846e-60
23813.30535e-441.65268e-44

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
17 & 8.97133e-47 & 1.79427e-46 & 1 \tabularnewline
18 & 1.65536e-62 & 3.31071e-62 & 1 \tabularnewline
19 & 3.0489e-78 & 6.09781e-78 & 1 \tabularnewline
20 & 6.54236e-95 & 1.30847e-94 & 1 \tabularnewline
21 & 3.76129e-109 & 7.52258e-109 & 1 \tabularnewline
22 & 2.66378e-123 & 5.32755e-123 & 1 \tabularnewline
23 & 2.40727e-140 & 4.81455e-140 & 1 \tabularnewline
24 & 2.83819e-08 & 5.67638e-08 & 1 \tabularnewline
25 & 3.14369e-05 & 6.28738e-05 & 0.999969 \tabularnewline
26 & 8.33454e-06 & 1.66691e-05 & 0.999992 \tabularnewline
27 & 2.23246e-06 & 4.46493e-06 & 0.999998 \tabularnewline
28 & 4.78799e-06 & 9.57598e-06 & 0.999995 \tabularnewline
29 & 1.3925e-06 & 2.785e-06 & 0.999999 \tabularnewline
30 & 3.81175e-07 & 7.62351e-07 & 1 \tabularnewline
31 & 1.10651e-06 & 2.21301e-06 & 0.999999 \tabularnewline
32 & 3.56859e-07 & 7.13718e-07 & 1 \tabularnewline
33 & 0.0329298 & 0.0658596 & 0.96707 \tabularnewline
34 & 0.034992 & 0.0699841 & 0.965008 \tabularnewline
35 & 0.290691 & 0.581382 & 0.709309 \tabularnewline
36 & 0.245364 & 0.490728 & 0.754636 \tabularnewline
37 & 0.246726 & 0.493452 & 0.753274 \tabularnewline
38 & 0.200505 & 0.401009 & 0.799495 \tabularnewline
39 & 0.160535 & 0.321069 & 0.839465 \tabularnewline
40 & 0.129411 & 0.258822 & 0.870589 \tabularnewline
41 & 0.229588 & 0.459176 & 0.770412 \tabularnewline
42 & 0.609313 & 0.781375 & 0.390687 \tabularnewline
43 & 0.555318 & 0.889364 & 0.444682 \tabularnewline
44 & 0.503341 & 0.993317 & 0.496659 \tabularnewline
45 & 0.522091 & 0.955818 & 0.477909 \tabularnewline
46 & 0.556235 & 0.887529 & 0.443765 \tabularnewline
47 & 0.516781 & 0.966438 & 0.483219 \tabularnewline
48 & 0.469195 & 0.93839 & 0.530805 \tabularnewline
49 & 0.591265 & 0.81747 & 0.408735 \tabularnewline
50 & 0.681501 & 0.636998 & 0.318499 \tabularnewline
51 & 0.689933 & 0.620134 & 0.310067 \tabularnewline
52 & 0.689349 & 0.621303 & 0.310651 \tabularnewline
53 & 0.660126 & 0.679748 & 0.339874 \tabularnewline
54 & 0.627062 & 0.745875 & 0.372938 \tabularnewline
55 & 0.625175 & 0.74965 & 0.374825 \tabularnewline
56 & 0.862296 & 0.275408 & 0.137704 \tabularnewline
57 & 0.838845 & 0.322311 & 0.161155 \tabularnewline
58 & 0.987719 & 0.0245622 & 0.0122811 \tabularnewline
59 & 0.984961 & 0.0300782 & 0.0150391 \tabularnewline
60 & 0.981611 & 0.0367782 & 0.0183891 \tabularnewline
61 & 0.981262 & 0.037476 & 0.018738 \tabularnewline
62 & 0.997132 & 0.00573563 & 0.00286782 \tabularnewline
63 & 0.999463 & 0.00107398 & 0.000536988 \tabularnewline
64 & 0.999252 & 0.00149537 & 0.000747687 \tabularnewline
65 & 0.998981 & 0.00203759 & 0.00101879 \tabularnewline
66 & 0.999112 & 0.00177605 & 0.000888025 \tabularnewline
67 & 0.999863 & 0.000273387 & 0.000136694 \tabularnewline
68 & 0.999948 & 0.00010467 & 5.2335e-05 \tabularnewline
69 & 0.999927 & 0.000146545 & 7.32727e-05 \tabularnewline
70 & 0.999922 & 0.000156542 & 7.82709e-05 \tabularnewline
71 & 0.999969 & 6.15115e-05 & 3.07557e-05 \tabularnewline
72 & 0.999956 & 8.79794e-05 & 4.39897e-05 \tabularnewline
73 & 0.999939 & 0.000122222 & 6.11111e-05 \tabularnewline
74 & 0.999947 & 0.000105486 & 5.27428e-05 \tabularnewline
75 & 0.999925 & 0.000149009 & 7.45043e-05 \tabularnewline
76 & 0.999999 & 2.12819e-06 & 1.06409e-06 \tabularnewline
77 & 0.999998 & 3.23726e-06 & 1.61863e-06 \tabularnewline
78 & 0.999998 & 4.88924e-06 & 2.44462e-06 \tabularnewline
79 & 1 & 5.4466e-08 & 2.7233e-08 \tabularnewline
80 & 1 & 8.68907e-08 & 4.34454e-08 \tabularnewline
81 & 1 & 1.02529e-07 & 5.12645e-08 \tabularnewline
82 & 1 & 1.60297e-07 & 8.01484e-08 \tabularnewline
83 & 1 & 1.04491e-07 & 5.22457e-08 \tabularnewline
84 & 1 & 1.12243e-13 & 5.61216e-14 \tabularnewline
85 & 1 & 2.14876e-13 & 1.07438e-13 \tabularnewline
86 & 1 & 3.84961e-13 & 1.9248e-13 \tabularnewline
87 & 1 & 7.18904e-13 & 3.59452e-13 \tabularnewline
88 & 1 & 1.18329e-12 & 5.91643e-13 \tabularnewline
89 & 1 & 1.71662e-12 & 8.5831e-13 \tabularnewline
90 & 1 & 2.26092e-12 & 1.13046e-12 \tabularnewline
91 & 1 & 2.94626e-12 & 1.47313e-12 \tabularnewline
92 & 1 & 5.43368e-12 & 2.71684e-12 \tabularnewline
93 & 1 & 8.75214e-12 & 4.37607e-12 \tabularnewline
94 & 1 & 5.28892e-12 & 2.64446e-12 \tabularnewline
95 & 1 & 6.96069e-12 & 3.48035e-12 \tabularnewline
96 & 1 & 9.21561e-12 & 4.6078e-12 \tabularnewline
97 & 1 & 1.66359e-11 & 8.31797e-12 \tabularnewline
98 & 1 & 2.96544e-11 & 1.48272e-11 \tabularnewline
99 & 1 & 2.98696e-11 & 1.49348e-11 \tabularnewline
100 & 1 & 6.56219e-12 & 3.2811e-12 \tabularnewline
101 & 1 & 4.2932e-19 & 2.1466e-19 \tabularnewline
102 & 1 & 9.37829e-19 & 4.68915e-19 \tabularnewline
103 & 1 & 1.50826e-18 & 7.54129e-19 \tabularnewline
104 & 1 & 6.27978e-19 & 3.13989e-19 \tabularnewline
105 & 1 & 1.38122e-18 & 6.9061e-19 \tabularnewline
106 & 1 & 2.21147e-18 & 1.10574e-18 \tabularnewline
107 & 1 & 1.71671e-48 & 8.58356e-49 \tabularnewline
108 & 1 & 7.14298e-48 & 3.57149e-48 \tabularnewline
109 & 1 & 2.64059e-47 & 1.3203e-47 \tabularnewline
110 & 1 & 1.11111e-47 & 5.55554e-48 \tabularnewline
111 & 1 & 2.5101e-47 & 1.25505e-47 \tabularnewline
112 & 1 & 2.87415e-47 & 1.43708e-47 \tabularnewline
113 & 1 & 8.06208e-47 & 4.03104e-47 \tabularnewline
114 & 1 & 2.27196e-47 & 1.13598e-47 \tabularnewline
115 & 1 & 2.1017e-47 & 1.05085e-47 \tabularnewline
116 & 1 & 6.37134e-47 & 3.18567e-47 \tabularnewline
117 & 1 & 2.71955e-46 & 1.35978e-46 \tabularnewline
118 & 1 & 6.76008e-46 & 3.38004e-46 \tabularnewline
119 & 1 & 2.15725e-45 & 1.07863e-45 \tabularnewline
120 & 1 & 7.17846e-45 & 3.58923e-45 \tabularnewline
121 & 1 & 2.46844e-44 & 1.23422e-44 \tabularnewline
122 & 1 & 8.71018e-44 & 4.35509e-44 \tabularnewline
123 & 1 & 3.13642e-43 & 1.56821e-43 \tabularnewline
124 & 1 & 1.14739e-42 & 5.73694e-43 \tabularnewline
125 & 1 & 4.24901e-42 & 2.1245e-42 \tabularnewline
126 & 1 & 1.58808e-41 & 7.94042e-42 \tabularnewline
127 & 1 & 5.97574e-41 & 2.98787e-41 \tabularnewline
128 & 1 & 2.25904e-40 & 1.12952e-40 \tabularnewline
129 & 1 & 8.56379e-40 & 4.2819e-40 \tabularnewline
130 & 1 & 8.46262e-40 & 4.23131e-40 \tabularnewline
131 & 1 & 1.33979e-39 & 6.69896e-40 \tabularnewline
132 & 1 & 5.12588e-39 & 2.56294e-39 \tabularnewline
133 & 1 & 2.0011e-38 & 1.00055e-38 \tabularnewline
134 & 1 & 7.54907e-38 & 3.77453e-38 \tabularnewline
135 & 1 & 1.23932e-37 & 6.19661e-38 \tabularnewline
136 & 1 & 2.33401e-37 & 1.167e-37 \tabularnewline
137 & 1 & 6.96295e-37 & 3.48148e-37 \tabularnewline
138 & 1 & 1.3215e-36 & 6.60749e-37 \tabularnewline
139 & 1 & 4.28408e-37 & 2.14204e-37 \tabularnewline
140 & 1 & 9.10256e-42 & 4.55128e-42 \tabularnewline
141 & 1 & 4.07528e-41 & 2.03764e-41 \tabularnewline
142 & 1 & 3.5314e-41 & 1.7657e-41 \tabularnewline
143 & 1 & 1.56609e-40 & 7.83044e-41 \tabularnewline
144 & 1 & 3.35541e-40 & 1.6777e-40 \tabularnewline
145 & 1 & 1.75828e-40 & 8.79142e-41 \tabularnewline
146 & 1 & 2.4129e-40 & 1.20645e-40 \tabularnewline
147 & 1 & 4.30126e-40 & 2.15063e-40 \tabularnewline
148 & 1 & 1.03713e-39 & 5.18565e-40 \tabularnewline
149 & 1 & 4.68544e-39 & 2.34272e-39 \tabularnewline
150 & 1 & 2.0598e-38 & 1.0299e-38 \tabularnewline
151 & 1 & 9.1725e-38 & 4.58625e-38 \tabularnewline
152 & 1 & 7.75286e-38 & 3.87643e-38 \tabularnewline
153 & 1 & 2.22343e-37 & 1.11171e-37 \tabularnewline
154 & 1 & 3.00705e-42 & 1.50353e-42 \tabularnewline
155 & 1 & 1.4115e-41 & 7.0575e-42 \tabularnewline
156 & 1 & 1.82826e-41 & 9.14129e-42 \tabularnewline
157 & 1 & 0 & 0 \tabularnewline
158 & 1 & 0 & 0 \tabularnewline
159 & 1 & 0 & 0 \tabularnewline
160 & 1 & 0 & 0 \tabularnewline
161 & 1 & 0 & 0 \tabularnewline
162 & 1 & 0 & 0 \tabularnewline
163 & 1 & 0 & 0 \tabularnewline
164 & 1 & 0 & 0 \tabularnewline
165 & 1 & 0 & 0 \tabularnewline
166 & 1 & 0 & 0 \tabularnewline
167 & 1 & 0 & 0 \tabularnewline
168 & 1 & 0 & 0 \tabularnewline
169 & 1 & 0 & 0 \tabularnewline
170 & 1 & 0 & 0 \tabularnewline
171 & 1 & 0 & 0 \tabularnewline
172 & 1 & 0 & 0 \tabularnewline
173 & 1 & 0 & 0 \tabularnewline
174 & 1 & 0 & 0 \tabularnewline
175 & 1 & 0 & 0 \tabularnewline
176 & 1 & 0 & 0 \tabularnewline
177 & 1 & 0 & 0 \tabularnewline
178 & 1 & 0 & 0 \tabularnewline
179 & 1 & 0 & 0 \tabularnewline
180 & 1 & 0 & 0 \tabularnewline
181 & 1 & 0 & 0 \tabularnewline
182 & 1 & 0 & 0 \tabularnewline
183 & 1 & 0 & 0 \tabularnewline
184 & 1 & 0 & 0 \tabularnewline
185 & 1 & 0 & 0 \tabularnewline
186 & 1 & 0 & 0 \tabularnewline
187 & 1 & 0 & 0 \tabularnewline
188 & 1 & 0 & 0 \tabularnewline
189 & 1 & 0 & 0 \tabularnewline
190 & 1 & 0 & 0 \tabularnewline
191 & 1 & 0 & 0 \tabularnewline
192 & 1 & 0 & 0 \tabularnewline
193 & 1 & 0 & 0 \tabularnewline
194 & 1 & 0 & 0 \tabularnewline
195 & 1 & 0 & 0 \tabularnewline
196 & 1 & 0 & 0 \tabularnewline
197 & 1 & 0 & 0 \tabularnewline
198 & 1 & 0 & 0 \tabularnewline
199 & 1 & 0 & 0 \tabularnewline
200 & 1 & 0 & 0 \tabularnewline
201 & 1 & 0 & 0 \tabularnewline
202 & 1 & 0 & 0 \tabularnewline
203 & 1 & 0 & 0 \tabularnewline
204 & 1 & 0 & 0 \tabularnewline
205 & 1 & 0 & 0 \tabularnewline
206 & 1 & 0 & 0 \tabularnewline
207 & 1 & 0 & 0 \tabularnewline
208 & 1 & 0 & 0 \tabularnewline
209 & 1 & 0 & 0 \tabularnewline
210 & 1 & 0 & 0 \tabularnewline
211 & 1 & 0 & 0 \tabularnewline
212 & 1 & 0 & 0 \tabularnewline
213 & 1 & 0 & 0 \tabularnewline
214 & 1 & 0 & 0 \tabularnewline
215 & 1 & 0 & 0 \tabularnewline
216 & 1 & 0 & 0 \tabularnewline
217 & 1 & 0 & 0 \tabularnewline
218 & 1 & 0 & 0 \tabularnewline
219 & 1 & 0 & 0 \tabularnewline
220 & 1 & 8.35563820246716e-320 & 4.17781910123358e-320 \tabularnewline
221 & 1 & 1.16596e-301 & 5.82981e-302 \tabularnewline
222 & 1 & 1.73427e-286 & 8.67134e-287 \tabularnewline
223 & 1 & 1.60016e-272 & 8.00082e-273 \tabularnewline
224 & 1 & 3.80301e-256 & 1.90151e-256 \tabularnewline
225 & 1 & 6.74076e-239 & 3.37038e-239 \tabularnewline
226 & 1 & 3.83715e-224 & 1.91857e-224 \tabularnewline
227 & 1 & 2.67062e-208 & 1.33531e-208 \tabularnewline
228 & 1 & 7.08969e-200 & 3.54484e-200 \tabularnewline
229 & 1 & 9.33232e-180 & 4.66616e-180 \tabularnewline
230 & 1 & 4.67646e-167 & 2.33823e-167 \tabularnewline
231 & 1 & 1.39183e-152 & 6.95917e-153 \tabularnewline
232 & 1 & 8.92285e-136 & 4.46143e-136 \tabularnewline
233 & 1 & 9.77236e-125 & 4.88618e-125 \tabularnewline
234 & 1 & 2.13894e-105 & 1.06947e-105 \tabularnewline
235 & 1 & 1.67915e-91 & 8.39575e-92 \tabularnewline
236 & 1 & 1.72863e-76 & 8.64313e-77 \tabularnewline
237 & 1 & 1.13369e-59 & 5.66846e-60 \tabularnewline
238 & 1 & 3.30535e-44 & 1.65268e-44 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210792&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]17[/C][C]8.97133e-47[/C][C]1.79427e-46[/C][C]1[/C][/ROW]
[ROW][C]18[/C][C]1.65536e-62[/C][C]3.31071e-62[/C][C]1[/C][/ROW]
[ROW][C]19[/C][C]3.0489e-78[/C][C]6.09781e-78[/C][C]1[/C][/ROW]
[ROW][C]20[/C][C]6.54236e-95[/C][C]1.30847e-94[/C][C]1[/C][/ROW]
[ROW][C]21[/C][C]3.76129e-109[/C][C]7.52258e-109[/C][C]1[/C][/ROW]
[ROW][C]22[/C][C]2.66378e-123[/C][C]5.32755e-123[/C][C]1[/C][/ROW]
[ROW][C]23[/C][C]2.40727e-140[/C][C]4.81455e-140[/C][C]1[/C][/ROW]
[ROW][C]24[/C][C]2.83819e-08[/C][C]5.67638e-08[/C][C]1[/C][/ROW]
[ROW][C]25[/C][C]3.14369e-05[/C][C]6.28738e-05[/C][C]0.999969[/C][/ROW]
[ROW][C]26[/C][C]8.33454e-06[/C][C]1.66691e-05[/C][C]0.999992[/C][/ROW]
[ROW][C]27[/C][C]2.23246e-06[/C][C]4.46493e-06[/C][C]0.999998[/C][/ROW]
[ROW][C]28[/C][C]4.78799e-06[/C][C]9.57598e-06[/C][C]0.999995[/C][/ROW]
[ROW][C]29[/C][C]1.3925e-06[/C][C]2.785e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]30[/C][C]3.81175e-07[/C][C]7.62351e-07[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]1.10651e-06[/C][C]2.21301e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]32[/C][C]3.56859e-07[/C][C]7.13718e-07[/C][C]1[/C][/ROW]
[ROW][C]33[/C][C]0.0329298[/C][C]0.0658596[/C][C]0.96707[/C][/ROW]
[ROW][C]34[/C][C]0.034992[/C][C]0.0699841[/C][C]0.965008[/C][/ROW]
[ROW][C]35[/C][C]0.290691[/C][C]0.581382[/C][C]0.709309[/C][/ROW]
[ROW][C]36[/C][C]0.245364[/C][C]0.490728[/C][C]0.754636[/C][/ROW]
[ROW][C]37[/C][C]0.246726[/C][C]0.493452[/C][C]0.753274[/C][/ROW]
[ROW][C]38[/C][C]0.200505[/C][C]0.401009[/C][C]0.799495[/C][/ROW]
[ROW][C]39[/C][C]0.160535[/C][C]0.321069[/C][C]0.839465[/C][/ROW]
[ROW][C]40[/C][C]0.129411[/C][C]0.258822[/C][C]0.870589[/C][/ROW]
[ROW][C]41[/C][C]0.229588[/C][C]0.459176[/C][C]0.770412[/C][/ROW]
[ROW][C]42[/C][C]0.609313[/C][C]0.781375[/C][C]0.390687[/C][/ROW]
[ROW][C]43[/C][C]0.555318[/C][C]0.889364[/C][C]0.444682[/C][/ROW]
[ROW][C]44[/C][C]0.503341[/C][C]0.993317[/C][C]0.496659[/C][/ROW]
[ROW][C]45[/C][C]0.522091[/C][C]0.955818[/C][C]0.477909[/C][/ROW]
[ROW][C]46[/C][C]0.556235[/C][C]0.887529[/C][C]0.443765[/C][/ROW]
[ROW][C]47[/C][C]0.516781[/C][C]0.966438[/C][C]0.483219[/C][/ROW]
[ROW][C]48[/C][C]0.469195[/C][C]0.93839[/C][C]0.530805[/C][/ROW]
[ROW][C]49[/C][C]0.591265[/C][C]0.81747[/C][C]0.408735[/C][/ROW]
[ROW][C]50[/C][C]0.681501[/C][C]0.636998[/C][C]0.318499[/C][/ROW]
[ROW][C]51[/C][C]0.689933[/C][C]0.620134[/C][C]0.310067[/C][/ROW]
[ROW][C]52[/C][C]0.689349[/C][C]0.621303[/C][C]0.310651[/C][/ROW]
[ROW][C]53[/C][C]0.660126[/C][C]0.679748[/C][C]0.339874[/C][/ROW]
[ROW][C]54[/C][C]0.627062[/C][C]0.745875[/C][C]0.372938[/C][/ROW]
[ROW][C]55[/C][C]0.625175[/C][C]0.74965[/C][C]0.374825[/C][/ROW]
[ROW][C]56[/C][C]0.862296[/C][C]0.275408[/C][C]0.137704[/C][/ROW]
[ROW][C]57[/C][C]0.838845[/C][C]0.322311[/C][C]0.161155[/C][/ROW]
[ROW][C]58[/C][C]0.987719[/C][C]0.0245622[/C][C]0.0122811[/C][/ROW]
[ROW][C]59[/C][C]0.984961[/C][C]0.0300782[/C][C]0.0150391[/C][/ROW]
[ROW][C]60[/C][C]0.981611[/C][C]0.0367782[/C][C]0.0183891[/C][/ROW]
[ROW][C]61[/C][C]0.981262[/C][C]0.037476[/C][C]0.018738[/C][/ROW]
[ROW][C]62[/C][C]0.997132[/C][C]0.00573563[/C][C]0.00286782[/C][/ROW]
[ROW][C]63[/C][C]0.999463[/C][C]0.00107398[/C][C]0.000536988[/C][/ROW]
[ROW][C]64[/C][C]0.999252[/C][C]0.00149537[/C][C]0.000747687[/C][/ROW]
[ROW][C]65[/C][C]0.998981[/C][C]0.00203759[/C][C]0.00101879[/C][/ROW]
[ROW][C]66[/C][C]0.999112[/C][C]0.00177605[/C][C]0.000888025[/C][/ROW]
[ROW][C]67[/C][C]0.999863[/C][C]0.000273387[/C][C]0.000136694[/C][/ROW]
[ROW][C]68[/C][C]0.999948[/C][C]0.00010467[/C][C]5.2335e-05[/C][/ROW]
[ROW][C]69[/C][C]0.999927[/C][C]0.000146545[/C][C]7.32727e-05[/C][/ROW]
[ROW][C]70[/C][C]0.999922[/C][C]0.000156542[/C][C]7.82709e-05[/C][/ROW]
[ROW][C]71[/C][C]0.999969[/C][C]6.15115e-05[/C][C]3.07557e-05[/C][/ROW]
[ROW][C]72[/C][C]0.999956[/C][C]8.79794e-05[/C][C]4.39897e-05[/C][/ROW]
[ROW][C]73[/C][C]0.999939[/C][C]0.000122222[/C][C]6.11111e-05[/C][/ROW]
[ROW][C]74[/C][C]0.999947[/C][C]0.000105486[/C][C]5.27428e-05[/C][/ROW]
[ROW][C]75[/C][C]0.999925[/C][C]0.000149009[/C][C]7.45043e-05[/C][/ROW]
[ROW][C]76[/C][C]0.999999[/C][C]2.12819e-06[/C][C]1.06409e-06[/C][/ROW]
[ROW][C]77[/C][C]0.999998[/C][C]3.23726e-06[/C][C]1.61863e-06[/C][/ROW]
[ROW][C]78[/C][C]0.999998[/C][C]4.88924e-06[/C][C]2.44462e-06[/C][/ROW]
[ROW][C]79[/C][C]1[/C][C]5.4466e-08[/C][C]2.7233e-08[/C][/ROW]
[ROW][C]80[/C][C]1[/C][C]8.68907e-08[/C][C]4.34454e-08[/C][/ROW]
[ROW][C]81[/C][C]1[/C][C]1.02529e-07[/C][C]5.12645e-08[/C][/ROW]
[ROW][C]82[/C][C]1[/C][C]1.60297e-07[/C][C]8.01484e-08[/C][/ROW]
[ROW][C]83[/C][C]1[/C][C]1.04491e-07[/C][C]5.22457e-08[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]1.12243e-13[/C][C]5.61216e-14[/C][/ROW]
[ROW][C]85[/C][C]1[/C][C]2.14876e-13[/C][C]1.07438e-13[/C][/ROW]
[ROW][C]86[/C][C]1[/C][C]3.84961e-13[/C][C]1.9248e-13[/C][/ROW]
[ROW][C]87[/C][C]1[/C][C]7.18904e-13[/C][C]3.59452e-13[/C][/ROW]
[ROW][C]88[/C][C]1[/C][C]1.18329e-12[/C][C]5.91643e-13[/C][/ROW]
[ROW][C]89[/C][C]1[/C][C]1.71662e-12[/C][C]8.5831e-13[/C][/ROW]
[ROW][C]90[/C][C]1[/C][C]2.26092e-12[/C][C]1.13046e-12[/C][/ROW]
[ROW][C]91[/C][C]1[/C][C]2.94626e-12[/C][C]1.47313e-12[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]5.43368e-12[/C][C]2.71684e-12[/C][/ROW]
[ROW][C]93[/C][C]1[/C][C]8.75214e-12[/C][C]4.37607e-12[/C][/ROW]
[ROW][C]94[/C][C]1[/C][C]5.28892e-12[/C][C]2.64446e-12[/C][/ROW]
[ROW][C]95[/C][C]1[/C][C]6.96069e-12[/C][C]3.48035e-12[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]9.21561e-12[/C][C]4.6078e-12[/C][/ROW]
[ROW][C]97[/C][C]1[/C][C]1.66359e-11[/C][C]8.31797e-12[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]2.96544e-11[/C][C]1.48272e-11[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]2.98696e-11[/C][C]1.49348e-11[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]6.56219e-12[/C][C]3.2811e-12[/C][/ROW]
[ROW][C]101[/C][C]1[/C][C]4.2932e-19[/C][C]2.1466e-19[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]9.37829e-19[/C][C]4.68915e-19[/C][/ROW]
[ROW][C]103[/C][C]1[/C][C]1.50826e-18[/C][C]7.54129e-19[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]6.27978e-19[/C][C]3.13989e-19[/C][/ROW]
[ROW][C]105[/C][C]1[/C][C]1.38122e-18[/C][C]6.9061e-19[/C][/ROW]
[ROW][C]106[/C][C]1[/C][C]2.21147e-18[/C][C]1.10574e-18[/C][/ROW]
[ROW][C]107[/C][C]1[/C][C]1.71671e-48[/C][C]8.58356e-49[/C][/ROW]
[ROW][C]108[/C][C]1[/C][C]7.14298e-48[/C][C]3.57149e-48[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]2.64059e-47[/C][C]1.3203e-47[/C][/ROW]
[ROW][C]110[/C][C]1[/C][C]1.11111e-47[/C][C]5.55554e-48[/C][/ROW]
[ROW][C]111[/C][C]1[/C][C]2.5101e-47[/C][C]1.25505e-47[/C][/ROW]
[ROW][C]112[/C][C]1[/C][C]2.87415e-47[/C][C]1.43708e-47[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]8.06208e-47[/C][C]4.03104e-47[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]2.27196e-47[/C][C]1.13598e-47[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]2.1017e-47[/C][C]1.05085e-47[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]6.37134e-47[/C][C]3.18567e-47[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]2.71955e-46[/C][C]1.35978e-46[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]6.76008e-46[/C][C]3.38004e-46[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]2.15725e-45[/C][C]1.07863e-45[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]7.17846e-45[/C][C]3.58923e-45[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]2.46844e-44[/C][C]1.23422e-44[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]8.71018e-44[/C][C]4.35509e-44[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]3.13642e-43[/C][C]1.56821e-43[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]1.14739e-42[/C][C]5.73694e-43[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]4.24901e-42[/C][C]2.1245e-42[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]1.58808e-41[/C][C]7.94042e-42[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]5.97574e-41[/C][C]2.98787e-41[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]2.25904e-40[/C][C]1.12952e-40[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]8.56379e-40[/C][C]4.2819e-40[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]8.46262e-40[/C][C]4.23131e-40[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]1.33979e-39[/C][C]6.69896e-40[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]5.12588e-39[/C][C]2.56294e-39[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]2.0011e-38[/C][C]1.00055e-38[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]7.54907e-38[/C][C]3.77453e-38[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]1.23932e-37[/C][C]6.19661e-38[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]2.33401e-37[/C][C]1.167e-37[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]6.96295e-37[/C][C]3.48148e-37[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]1.3215e-36[/C][C]6.60749e-37[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]4.28408e-37[/C][C]2.14204e-37[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]9.10256e-42[/C][C]4.55128e-42[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]4.07528e-41[/C][C]2.03764e-41[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]3.5314e-41[/C][C]1.7657e-41[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]1.56609e-40[/C][C]7.83044e-41[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]3.35541e-40[/C][C]1.6777e-40[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]1.75828e-40[/C][C]8.79142e-41[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]2.4129e-40[/C][C]1.20645e-40[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]4.30126e-40[/C][C]2.15063e-40[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]1.03713e-39[/C][C]5.18565e-40[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]4.68544e-39[/C][C]2.34272e-39[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]2.0598e-38[/C][C]1.0299e-38[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]9.1725e-38[/C][C]4.58625e-38[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]7.75286e-38[/C][C]3.87643e-38[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]2.22343e-37[/C][C]1.11171e-37[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]3.00705e-42[/C][C]1.50353e-42[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]1.4115e-41[/C][C]7.0575e-42[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]1.82826e-41[/C][C]9.14129e-42[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]161[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]166[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]167[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]168[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]169[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]170[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]171[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]172[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]173[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]174[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]175[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]176[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]177[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]184[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]185[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]186[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]187[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]190[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]191[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]192[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]193[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]194[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]195[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]196[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]197[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]198[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]199[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]200[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]201[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]204[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]205[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]206[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]208[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]209[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]210[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]211[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]212[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]214[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]215[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]217[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]218[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]220[/C][C]1[/C][C]8.35563820246716e-320[/C][C]4.17781910123358e-320[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]1.16596e-301[/C][C]5.82981e-302[/C][/ROW]
[ROW][C]222[/C][C]1[/C][C]1.73427e-286[/C][C]8.67134e-287[/C][/ROW]
[ROW][C]223[/C][C]1[/C][C]1.60016e-272[/C][C]8.00082e-273[/C][/ROW]
[ROW][C]224[/C][C]1[/C][C]3.80301e-256[/C][C]1.90151e-256[/C][/ROW]
[ROW][C]225[/C][C]1[/C][C]6.74076e-239[/C][C]3.37038e-239[/C][/ROW]
[ROW][C]226[/C][C]1[/C][C]3.83715e-224[/C][C]1.91857e-224[/C][/ROW]
[ROW][C]227[/C][C]1[/C][C]2.67062e-208[/C][C]1.33531e-208[/C][/ROW]
[ROW][C]228[/C][C]1[/C][C]7.08969e-200[/C][C]3.54484e-200[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]9.33232e-180[/C][C]4.66616e-180[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]4.67646e-167[/C][C]2.33823e-167[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]1.39183e-152[/C][C]6.95917e-153[/C][/ROW]
[ROW][C]232[/C][C]1[/C][C]8.92285e-136[/C][C]4.46143e-136[/C][/ROW]
[ROW][C]233[/C][C]1[/C][C]9.77236e-125[/C][C]4.88618e-125[/C][/ROW]
[ROW][C]234[/C][C]1[/C][C]2.13894e-105[/C][C]1.06947e-105[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]1.67915e-91[/C][C]8.39575e-92[/C][/ROW]
[ROW][C]236[/C][C]1[/C][C]1.72863e-76[/C][C]8.64313e-77[/C][/ROW]
[ROW][C]237[/C][C]1[/C][C]1.13369e-59[/C][C]5.66846e-60[/C][/ROW]
[ROW][C]238[/C][C]1[/C][C]3.30535e-44[/C][C]1.65268e-44[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210792&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210792&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
178.97133e-471.79427e-461
181.65536e-623.31071e-621
193.0489e-786.09781e-781
206.54236e-951.30847e-941
213.76129e-1097.52258e-1091
222.66378e-1235.32755e-1231
232.40727e-1404.81455e-1401
242.83819e-085.67638e-081
253.14369e-056.28738e-050.999969
268.33454e-061.66691e-050.999992
272.23246e-064.46493e-060.999998
284.78799e-069.57598e-060.999995
291.3925e-062.785e-060.999999
303.81175e-077.62351e-071
311.10651e-062.21301e-060.999999
323.56859e-077.13718e-071
330.03292980.06585960.96707
340.0349920.06998410.965008
350.2906910.5813820.709309
360.2453640.4907280.754636
370.2467260.4934520.753274
380.2005050.4010090.799495
390.1605350.3210690.839465
400.1294110.2588220.870589
410.2295880.4591760.770412
420.6093130.7813750.390687
430.5553180.8893640.444682
440.5033410.9933170.496659
450.5220910.9558180.477909
460.5562350.8875290.443765
470.5167810.9664380.483219
480.4691950.938390.530805
490.5912650.817470.408735
500.6815010.6369980.318499
510.6899330.6201340.310067
520.6893490.6213030.310651
530.6601260.6797480.339874
540.6270620.7458750.372938
550.6251750.749650.374825
560.8622960.2754080.137704
570.8388450.3223110.161155
580.9877190.02456220.0122811
590.9849610.03007820.0150391
600.9816110.03677820.0183891
610.9812620.0374760.018738
620.9971320.005735630.00286782
630.9994630.001073980.000536988
640.9992520.001495370.000747687
650.9989810.002037590.00101879
660.9991120.001776050.000888025
670.9998630.0002733870.000136694
680.9999480.000104675.2335e-05
690.9999270.0001465457.32727e-05
700.9999220.0001565427.82709e-05
710.9999696.15115e-053.07557e-05
720.9999568.79794e-054.39897e-05
730.9999390.0001222226.11111e-05
740.9999470.0001054865.27428e-05
750.9999250.0001490097.45043e-05
760.9999992.12819e-061.06409e-06
770.9999983.23726e-061.61863e-06
780.9999984.88924e-062.44462e-06
7915.4466e-082.7233e-08
8018.68907e-084.34454e-08
8111.02529e-075.12645e-08
8211.60297e-078.01484e-08
8311.04491e-075.22457e-08
8411.12243e-135.61216e-14
8512.14876e-131.07438e-13
8613.84961e-131.9248e-13
8717.18904e-133.59452e-13
8811.18329e-125.91643e-13
8911.71662e-128.5831e-13
9012.26092e-121.13046e-12
9112.94626e-121.47313e-12
9215.43368e-122.71684e-12
9318.75214e-124.37607e-12
9415.28892e-122.64446e-12
9516.96069e-123.48035e-12
9619.21561e-124.6078e-12
9711.66359e-118.31797e-12
9812.96544e-111.48272e-11
9912.98696e-111.49348e-11
10016.56219e-123.2811e-12
10114.2932e-192.1466e-19
10219.37829e-194.68915e-19
10311.50826e-187.54129e-19
10416.27978e-193.13989e-19
10511.38122e-186.9061e-19
10612.21147e-181.10574e-18
10711.71671e-488.58356e-49
10817.14298e-483.57149e-48
10912.64059e-471.3203e-47
11011.11111e-475.55554e-48
11112.5101e-471.25505e-47
11212.87415e-471.43708e-47
11318.06208e-474.03104e-47
11412.27196e-471.13598e-47
11512.1017e-471.05085e-47
11616.37134e-473.18567e-47
11712.71955e-461.35978e-46
11816.76008e-463.38004e-46
11912.15725e-451.07863e-45
12017.17846e-453.58923e-45
12112.46844e-441.23422e-44
12218.71018e-444.35509e-44
12313.13642e-431.56821e-43
12411.14739e-425.73694e-43
12514.24901e-422.1245e-42
12611.58808e-417.94042e-42
12715.97574e-412.98787e-41
12812.25904e-401.12952e-40
12918.56379e-404.2819e-40
13018.46262e-404.23131e-40
13111.33979e-396.69896e-40
13215.12588e-392.56294e-39
13312.0011e-381.00055e-38
13417.54907e-383.77453e-38
13511.23932e-376.19661e-38
13612.33401e-371.167e-37
13716.96295e-373.48148e-37
13811.3215e-366.60749e-37
13914.28408e-372.14204e-37
14019.10256e-424.55128e-42
14114.07528e-412.03764e-41
14213.5314e-411.7657e-41
14311.56609e-407.83044e-41
14413.35541e-401.6777e-40
14511.75828e-408.79142e-41
14612.4129e-401.20645e-40
14714.30126e-402.15063e-40
14811.03713e-395.18565e-40
14914.68544e-392.34272e-39
15012.0598e-381.0299e-38
15119.1725e-384.58625e-38
15217.75286e-383.87643e-38
15312.22343e-371.11171e-37
15413.00705e-421.50353e-42
15511.4115e-417.0575e-42
15611.82826e-419.14129e-42
157100
158100
159100
160100
161100
162100
163100
164100
165100
166100
167100
168100
169100
170100
171100
172100
173100
174100
175100
176100
177100
178100
179100
180100
181100
182100
183100
184100
185100
186100
187100
188100
189100
190100
191100
192100
193100
194100
195100
196100
197100
198100
199100
200100
201100
202100
203100
204100
205100
206100
207100
208100
209100
210100
211100
212100
213100
214100
215100
216100
217100
218100
219100
22018.35563820246716e-3204.17781910123358e-320
22111.16596e-3015.82981e-302
22211.73427e-2868.67134e-287
22311.60016e-2728.00082e-273
22413.80301e-2561.90151e-256
22516.74076e-2393.37038e-239
22613.83715e-2241.91857e-224
22712.67062e-2081.33531e-208
22817.08969e-2003.54484e-200
22919.33232e-1804.66616e-180
23014.67646e-1672.33823e-167
23111.39183e-1526.95917e-153
23218.92285e-1364.46143e-136
23319.77236e-1254.88618e-125
23412.13894e-1051.06947e-105
23511.67915e-918.39575e-92
23611.72863e-768.64313e-77
23711.13369e-595.66846e-60
23813.30535e-441.65268e-44






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1930.869369NOK
5% type I error level1970.887387NOK
10% type I error level1990.896396NOK

\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 & 193 & 0.869369 & NOK \tabularnewline
5% type I error level & 197 & 0.887387 & NOK \tabularnewline
10% type I error level & 199 & 0.896396 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210792&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]193[/C][C]0.869369[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]197[/C][C]0.887387[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]199[/C][C]0.896396[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210792&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210792&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1930.869369NOK
5% type I error level1970.887387NOK
10% type I error level1990.896396NOK


Figures (Output of Computation)

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

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