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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 20 Dec 2012 14:35:25 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/20/t1356032331bn6xb1lwvf9whjy.htm/, Retrieved Wed, 24 Apr 2024 02:21:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=203059, Retrieved Wed, 24 Apr 2024 02:21:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [HPC Retail Sales] [2008-03-08 13:40:54] [1c0f2c85e8a48e42648374b3bcceca26]
- RMPD    [Multiple Regression] [] [2012-12-20 19:35:25] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8,9634
8,9522
8,8682
8,7331
8,3188
8,3462
8,3087
8,3836
8,8412
9,5001
10,1883
10,2931
10,1945
10,3014
10,0675
9,6715
9,5019
9,4597
9,4362
9,5919
10,0167
10,322
11,166
11,5454
11,3712
11,0723
10,813
10,3016
10,4227
10,3162
10,4519
10,8567
11,2716
11,4341
12,1273
11,9814
11,8352
11,9847
11,545
11,5285
11,5539
11,622
11,6578
11,6767
11,8752
13,2643
14,2297
14,308
13,7915
13,7633
13,9775
13,6478
13,2247
13,0971
13,1039
13,206
13,7901
14,6457
15,5764
15,6102
15,8855
16,0137
15,6186
15,384
15,2751
15,0912
14,9222
15,6231
16,6737
17,6805
19,1919
19,1711
18,5658
18,1285
16,791
16,9468
17,3164
17,1816
16,7627
17,239
17,8838
18,9038
20,0274
20,0087
19,6366
19,8163
18,8602
17,9206
17,6889
17,84
17,678
17,7258
18,5865
19,9804
21,1584
21,2921
20,9445
20,5731
19,3274
17,7866
17,7483
17,5648
17,4763
17,7264
18,5736
19,9236
21,3286
20,7249
20,3334
19,7658
18,7569
17,6963
17,7978
18,1771
18,3738
18,1996
18,8443
20,1001
21,2458
20,8381
20,1967
19,8159
18,5784
19,21
19,3419
19,12
19,1563
18,9783
20,2913
22,5439
23,2821
22,6191
22,1599
21,2766
19,0846
18,9096
18,8095
20,1164
20,7762
20,9044
22,0026
23,6401
25,04
24,7185
24,1752
24,1382
22,3949
21,3743
21,4911
21,2187
21,2137
21,6735
22,5096
24,3097
25,7989
25,4376
23,878
23,6966
23,3544
21,1993
22,0431
22,0203
21,886
21,9771
23,0759
24,9859
26,2614
26,1127
25,6296
25,2926
22,8146
22,2974
22,8868
22,4612
22,3165
22,7319
23,2692
24,9432
27,8272
27,4059
26,6232
26,8779
25,105
23,601
23,5374
23,5248
22,9465
23,6633
25,5932
27,7683
29,4691
28,3472
28,3879
27,9696
26,0075
24,2533
24,4999
23,8988
23,6683
23,9427
26,0155
28,9529
30,302
29,874
28,2257
28,0811
26,3398
25,4847
25,4823
24,9697
25,2282
25,9257
28,7818
27,9552
33,3475
32,7834
31,6586
31,6613
29,1839
28,8825
27,6334
27,7511
27,3792
27,7748
31,4329
33,2735
35,0962
34,9537
31,8307
30,9984
28,629
26,4379
25,4408
24,6681
24,0994
24,6043
27,2492
29,5511
29,8522
31,6989
29,6357
30,5197
32,7823
24,9942
23,5187
24,0249
24,5692
24,402
26,7089
31,6874
32,8801
32,7906
30,8785
30,3024
28,3679
25,6578
25,1598
24,6143
24,528
25,2905
30,0016
34,2728
34,4408
34,1907
33,6636
33,9073
30,2175
28,5274
25,9505
26,2398
26,2819
26,7362
28,8395
31,0951
33,7015
33,8091
32,1126
32
29,122
26,8124
25,4654
23,8331
24,714
28,3288
29,6391
32,4542
33,5657
33,1856
33,297
33,51
31,3789
29,4555
27,2699
27,2586
27,8591
29,6362
30,9587
31,8633
33,8188
33,7531
33,6103
32,9052
29,5005
27,3634
27,2298
26,5211
26,5228
27,2991
29,1726
30,297
32,5287
32,487
32,4197
30,854
28,6995
27,7881
26,5609
25,9431
25,5578
27,1275
30,2556
34,0976
34,5614
34,2948
33,3418
31,8187
29,0818
27,3444
26,6233
26,1869
26,2953
28,7043
32,0653
34,5401
34,6636
34,2557
32,0526
30,6892
28,012
26,1528
23,2276
24,244
24,8141
27,8632
29,6233
32,4245
33,3417
33,0442
32,0526
30,2182
28,9292
26,8221
26,1032
25,9792
27,1443
29,4993
31,656
33,3665
35,0521
34,4076
33,069
31,5816
30,0695
29,0035
28,6813
28,359
30,0447
31,5073
34,16
35,57
36,42
35,12
33,14
30,29
28,2
26,5
25,47
24,96
25,6
27,76
30,13
32,35
32,8
32,54
29,78
28,79
26,8
25,41
24,34
24,39
25
26,27
27,88
29,35
29,83
29,46

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time19 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 19 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203059&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]19 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203059&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203059&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 time19 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Multiple Linear Regression - Estimated Regression Equation
HPC[t] = + 15.6277817234848 -0.9064863288213M1[t] -1.43907462399733M2[t] -3.01749928280971M3[t] -4.41085727495544M4[t] -4.99522132770722M5[t] -5.18967022894385M6[t] -5.099570645332M7[t] -4.33425287990196M8[t] -2.7270229932598M9[t] -0.982244621769162M10[t] + 0.268457992145723M11[t] + 0.0545670830548128t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
HPC[t] =  +  15.6277817234848 -0.9064863288213M1[t] -1.43907462399733M2[t] -3.01749928280971M3[t] -4.41085727495544M4[t] -4.99522132770722M5[t] -5.18967022894385M6[t] -5.099570645332M7[t] -4.33425287990196M8[t] -2.7270229932598M9[t] -0.982244621769162M10[t] +  0.268457992145723M11[t] +  0.0545670830548128t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203059&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]HPC[t] =  +  15.6277817234848 -0.9064863288213M1[t] -1.43907462399733M2[t] -3.01749928280971M3[t] -4.41085727495544M4[t] -4.99522132770722M5[t] -5.18967022894385M6[t] -5.099570645332M7[t] -4.33425287990196M8[t] -2.7270229932598M9[t] -0.982244621769162M10[t] +  0.268457992145723M11[t] +  0.0545670830548128t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203059&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203059&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
HPC[t] = + 15.6277817234848 -0.9064863288213M1[t] -1.43907462399733M2[t] -3.01749928280971M3[t] -4.41085727495544M4[t] -4.99522132770722M5[t] -5.18967022894385M6[t] -5.099570645332M7[t] -4.33425287990196M8[t] -2.7270229932598M9[t] -0.982244621769162M10[t] + 0.268457992145723M11[t] + 0.0545670830548128t + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)15.62778172348480.57465627.19500
M1-0.90648632882130.722528-1.25460.2103870.105194
M2-1.439074623997330.722503-1.99180.0471040.023552
M3-3.017499282809710.722482-4.17663.7e-051.8e-05
M4-4.410857274955440.722462-6.105300
M5-4.995221327707220.722445-6.914300
M6-5.189670228943850.72243-7.183600
M7-5.0995706453320.722417-7.05900
M8-4.334252879901960.722407-5.999700
M9-2.72702299325980.722399-3.7750.0001859.3e-05
M10-0.9822446217691620.722393-1.35970.1747220.087361
M110.2684579921457230.7223890.37160.7103780.355189
t0.05456708305481280.00129142.283500

\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) & 15.6277817234848 & 0.574656 & 27.195 & 0 & 0 \tabularnewline
M1 & -0.9064863288213 & 0.722528 & -1.2546 & 0.210387 & 0.105194 \tabularnewline
M2 & -1.43907462399733 & 0.722503 & -1.9918 & 0.047104 & 0.023552 \tabularnewline
M3 & -3.01749928280971 & 0.722482 & -4.1766 & 3.7e-05 & 1.8e-05 \tabularnewline
M4 & -4.41085727495544 & 0.722462 & -6.1053 & 0 & 0 \tabularnewline
M5 & -4.99522132770722 & 0.722445 & -6.9143 & 0 & 0 \tabularnewline
M6 & -5.18967022894385 & 0.72243 & -7.1836 & 0 & 0 \tabularnewline
M7 & -5.099570645332 & 0.722417 & -7.059 & 0 & 0 \tabularnewline
M8 & -4.33425287990196 & 0.722407 & -5.9997 & 0 & 0 \tabularnewline
M9 & -2.7270229932598 & 0.722399 & -3.775 & 0.000185 & 9.3e-05 \tabularnewline
M10 & -0.982244621769162 & 0.722393 & -1.3597 & 0.174722 & 0.087361 \tabularnewline
M11 & 0.268457992145723 & 0.722389 & 0.3716 & 0.710378 & 0.355189 \tabularnewline
t & 0.0545670830548128 & 0.001291 & 42.2835 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203059&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]15.6277817234848[/C][C]0.574656[/C][C]27.195[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M1[/C][C]-0.9064863288213[/C][C]0.722528[/C][C]-1.2546[/C][C]0.210387[/C][C]0.105194[/C][/ROW]
[ROW][C]M2[/C][C]-1.43907462399733[/C][C]0.722503[/C][C]-1.9918[/C][C]0.047104[/C][C]0.023552[/C][/ROW]
[ROW][C]M3[/C][C]-3.01749928280971[/C][C]0.722482[/C][C]-4.1766[/C][C]3.7e-05[/C][C]1.8e-05[/C][/ROW]
[ROW][C]M4[/C][C]-4.41085727495544[/C][C]0.722462[/C][C]-6.1053[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M5[/C][C]-4.99522132770722[/C][C]0.722445[/C][C]-6.9143[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M6[/C][C]-5.18967022894385[/C][C]0.72243[/C][C]-7.1836[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M7[/C][C]-5.099570645332[/C][C]0.722417[/C][C]-7.059[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M8[/C][C]-4.33425287990196[/C][C]0.722407[/C][C]-5.9997[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M9[/C][C]-2.7270229932598[/C][C]0.722399[/C][C]-3.775[/C][C]0.000185[/C][C]9.3e-05[/C][/ROW]
[ROW][C]M10[/C][C]-0.982244621769162[/C][C]0.722393[/C][C]-1.3597[/C][C]0.174722[/C][C]0.087361[/C][/ROW]
[ROW][C]M11[/C][C]0.268457992145723[/C][C]0.722389[/C][C]0.3716[/C][C]0.710378[/C][C]0.355189[/C][/ROW]
[ROW][C]t[/C][C]0.0545670830548128[/C][C]0.001291[/C][C]42.2835[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203059&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203059&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)15.62778172348480.57465627.19500
M1-0.90648632882130.722528-1.25460.2103870.105194
M2-1.439074623997330.722503-1.99180.0471040.023552
M3-3.017499282809710.722482-4.17663.7e-051.8e-05
M4-4.410857274955440.722462-6.105300
M5-4.995221327707220.722445-6.914300
M6-5.189670228943850.72243-7.183600
M7-5.0995706453320.722417-7.05900
M8-4.334252879901960.722407-5.999700
M9-2.72702299325980.722399-3.7750.0001859.3e-05
M10-0.9822446217691620.722393-1.35970.1747220.087361
M110.2684579921457230.7223890.37160.7103780.355189
t0.05456708305481280.00129142.283500






Multiple Linear Regression - Regression Statistics
Multiple R0.915349930828873
R-squared0.837865495868422
Adjusted R-squared0.832785563624091
F-TEST (value)164.936352606548
F-TEST (DF numerator)12
F-TEST (DF denominator)383
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.93435450868489
Sum Squared Residuals3297.79713455087

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.915349930828873 \tabularnewline
R-squared & 0.837865495868422 \tabularnewline
Adjusted R-squared & 0.832785563624091 \tabularnewline
F-TEST (value) & 164.936352606548 \tabularnewline
F-TEST (DF numerator) & 12 \tabularnewline
F-TEST (DF denominator) & 383 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.93435450868489 \tabularnewline
Sum Squared Residuals & 3297.79713455087 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203059&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.915349930828873[/C][/ROW]
[ROW][C]R-squared[/C][C]0.837865495868422[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.832785563624091[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]164.936352606548[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]12[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]383[/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]2.93435450868489[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]3297.79713455087[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203059&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203059&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 R0.915349930828873
R-squared0.837865495868422
Adjusted R-squared0.832785563624091
F-TEST (value)164.936352606548
F-TEST (DF numerator)12
F-TEST (DF denominator)383
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.93435450868489
Sum Squared Residuals3297.79713455087






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
18.963414.7758624777183-5.81246247771833
28.952214.2978412655971-5.34564126559715
38.868212.7739836898396-3.90578368983958
48.733111.4351927807487-2.70209278074866
58.318810.9053958110517-2.58659581105169
68.346210.7655139928699-2.41931399286988
78.308710.9101806595365-2.60148065953654
88.383611.7300655080214-3.34646550802139
98.841213.3918624777184-4.55066247771836
109.500115.1912079322638-5.69110793226382
1110.188316.4964776292335-6.30817762923352
1210.293116.2825867201426-5.9894867201426
1310.194515.4306674743761-5.23616747437611
1410.301414.9526462622549-4.6512462622549
1510.067513.4287886864973-3.36128868649733
169.671512.0899977774064-2.41849777740642
179.501911.5602008077094-2.05830080770945
189.459711.4203189895276-1.96061898952763
199.436211.5649856561943-2.1287856561943
209.591912.3848705046791-2.79297050467914
2110.016714.0466674743761-4.02996747437612
2210.32215.8460129289216-5.52401292892157
2311.16617.1512826258913-5.98528262589127
2411.545416.9373917168004-5.39199171680036
2511.371216.0854724710339-4.71427247103387
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39327.8834.3456223707665-6.46562237076649
39429.3536.1449678253119-6.79496782531194
39529.8337.4502375222816-7.62023752228164
39629.4637.2363466131907-7.77634661319073

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 8.9634 & 14.7758624777183 & -5.81246247771833 \tabularnewline
2 & 8.9522 & 14.2978412655971 & -5.34564126559715 \tabularnewline
3 & 8.8682 & 12.7739836898396 & -3.90578368983958 \tabularnewline
4 & 8.7331 & 11.4351927807487 & -2.70209278074866 \tabularnewline
5 & 8.3188 & 10.9053958110517 & -2.58659581105169 \tabularnewline
6 & 8.3462 & 10.7655139928699 & -2.41931399286988 \tabularnewline
7 & 8.3087 & 10.9101806595365 & -2.60148065953654 \tabularnewline
8 & 8.3836 & 11.7300655080214 & -3.34646550802139 \tabularnewline
9 & 8.8412 & 13.3918624777184 & -4.55066247771836 \tabularnewline
10 & 9.5001 & 15.1912079322638 & -5.69110793226382 \tabularnewline
11 & 10.1883 & 16.4964776292335 & -6.30817762923352 \tabularnewline
12 & 10.2931 & 16.2825867201426 & -5.9894867201426 \tabularnewline
13 & 10.1945 & 15.4306674743761 & -5.23616747437611 \tabularnewline
14 & 10.3014 & 14.9526462622549 & -4.6512462622549 \tabularnewline
15 & 10.0675 & 13.4287886864973 & -3.36128868649733 \tabularnewline
16 & 9.6715 & 12.0899977774064 & -2.41849777740642 \tabularnewline
17 & 9.5019 & 11.5602008077094 & -2.05830080770945 \tabularnewline
18 & 9.4597 & 11.4203189895276 & -1.96061898952763 \tabularnewline
19 & 9.4362 & 11.5649856561943 & -2.1287856561943 \tabularnewline
20 & 9.5919 & 12.3848705046791 & -2.79297050467914 \tabularnewline
21 & 10.0167 & 14.0466674743761 & -4.02996747437612 \tabularnewline
22 & 10.322 & 15.8460129289216 & -5.52401292892157 \tabularnewline
23 & 11.166 & 17.1512826258913 & -5.98528262589127 \tabularnewline
24 & 11.5454 & 16.9373917168004 & -5.39199171680036 \tabularnewline
25 & 11.3712 & 16.0854724710339 & -4.71427247103387 \tabularnewline
26 & 11.0723 & 15.6074512589127 & -4.53515125891266 \tabularnewline
27 & 10.813 & 14.0835936831551 & -3.27059368315508 \tabularnewline
28 & 10.3016 & 12.7448027740642 & -2.44320277406417 \tabularnewline
29 & 10.4227 & 12.2150058043672 & -1.7923058043672 \tabularnewline
30 & 10.3162 & 12.0751239861854 & -1.75892398618539 \tabularnewline
31 & 10.4519 & 12.2197906528521 & -1.76789065285205 \tabularnewline
32 & 10.8567 & 13.0396755013369 & -2.1829755013369 \tabularnewline
33 & 11.2716 & 14.7014724710339 & -3.42987247103387 \tabularnewline
34 & 11.4341 & 16.5008179255793 & -5.06671792557933 \tabularnewline
35 & 12.1273 & 17.806087622549 & -5.67878762254902 \tabularnewline
36 & 11.9814 & 17.5921967134581 & -5.61079671345811 \tabularnewline
37 & 11.8352 & 16.7402774676916 & -4.90507746769163 \tabularnewline
38 & 11.9847 & 16.2622562555704 & -4.27755625557041 \tabularnewline
39 & 11.545 & 14.7383986798128 & -3.19339867981284 \tabularnewline
40 & 11.5285 & 13.3996077707219 & -1.87110777072193 \tabularnewline
41 & 11.5539 & 12.869810801025 & -1.31591080102496 \tabularnewline
42 & 11.622 & 12.7299289828431 & -1.10792898284314 \tabularnewline
43 & 11.6578 & 12.8745956495098 & -1.21679564950981 \tabularnewline
44 & 11.6767 & 13.6944804979947 & -2.01778049799465 \tabularnewline
45 & 11.8752 & 15.3562774676916 & -3.48107746769162 \tabularnewline
46 & 13.2643 & 17.1556229222371 & -3.89132292223708 \tabularnewline
47 & 14.2297 & 18.4608926192068 & -4.23119261920678 \tabularnewline
48 & 14.308 & 18.2470017101159 & -3.93900171011587 \tabularnewline
49 & 13.7915 & 17.3950824643494 & -3.60358246434938 \tabularnewline
50 & 13.7633 & 16.9170612522282 & -3.15376125222816 \tabularnewline
51 & 13.9775 & 15.3932036764706 & -1.41570367647059 \tabularnewline
52 & 13.6478 & 14.0544127673797 & -0.406612767379682 \tabularnewline
53 & 13.2247 & 13.5246157976827 & -0.299915797682711 \tabularnewline
54 & 13.0971 & 13.3847339795009 & -0.287633979500895 \tabularnewline
55 & 13.1039 & 13.5294006461676 & -0.425500646167558 \tabularnewline
56 & 13.206 & 14.3492854946524 & -1.14328549465241 \tabularnewline
57 & 13.7901 & 16.0110824643494 & -2.22098246434938 \tabularnewline
58 & 14.6457 & 17.8104279188948 & -3.16472791889483 \tabularnewline
59 & 15.5764 & 19.1156976158645 & -3.53929761586453 \tabularnewline
60 & 15.6102 & 18.9018067067736 & -3.29160670677362 \tabularnewline
61 & 15.8855 & 18.0498874610071 & -2.16438746100713 \tabularnewline
62 & 16.0137 & 17.5718662488859 & -1.55816624888592 \tabularnewline
63 & 15.6186 & 16.0480086731283 & -0.429408673128341 \tabularnewline
64 & 15.384 & 14.7092177640374 & 0.674782235962569 \tabularnewline
65 & 15.2751 & 14.1794207943405 & 1.09567920565954 \tabularnewline
66 & 15.0912 & 14.0395389761586 & 1.05166102384136 \tabularnewline
67 & 14.9222 & 14.1842056428253 & 0.73799435717469 \tabularnewline
68 & 15.6231 & 15.0040904913102 & 0.61900950868984 \tabularnewline
69 & 16.6737 & 16.6658874610071 & 0.0078125389928715 \tabularnewline
70 & 17.6805 & 18.4652329155526 & -0.784732915552586 \tabularnewline
71 & 19.1919 & 19.7705026125223 & -0.578602612522283 \tabularnewline
72 & 19.1711 & 19.5566117034314 & -0.385511703431374 \tabularnewline
73 & 18.5658 & 18.7046924576649 & -0.138892457664888 \tabularnewline
74 & 18.1285 & 18.2266712455437 & -0.0981712455436737 \tabularnewline
75 & 16.791 & 16.7028136697861 & 0.0881863302139057 \tabularnewline
76 & 16.9468 & 15.3640227606952 & 1.58277723930481 \tabularnewline
77 & 17.3164 & 14.8342257909982 & 2.48217420900178 \tabularnewline
78 & 17.1816 & 14.6943439728164 & 2.4872560271836 \tabularnewline
79 & 16.7627 & 14.8390106394831 & 1.92368936051694 \tabularnewline
80 & 17.239 & 15.6588954879679 & 1.58010451203209 \tabularnewline
81 & 17.8838 & 17.3206924576649 & 0.563107542335119 \tabularnewline
82 & 18.9038 & 19.1200379122103 & -0.216237912210339 \tabularnewline
83 & 20.0274 & 20.42530760918 & -0.397907609180038 \tabularnewline
84 & 20.0087 & 20.2114167000891 & -0.202716700089126 \tabularnewline
85 & 19.6366 & 19.3594974543226 & 0.27710254567736 \tabularnewline
86 & 19.8163 & 18.8814762422014 & 0.934823757798573 \tabularnewline
87 & 18.8602 & 17.3576186664439 & 1.50258133355615 \tabularnewline
88 & 17.9206 & 16.0188277573529 & 1.90177224264706 \tabularnewline
89 & 17.6889 & 15.489030787656 & 2.19986921234403 \tabularnewline
90 & 17.84 & 15.3491489694742 & 2.49085103052585 \tabularnewline
91 & 17.678 & 15.4938156361408 & 2.18418436385918 \tabularnewline
92 & 17.7258 & 16.3137004846257 & 1.41209951537433 \tabularnewline
93 & 18.5865 & 17.9754974543226 & 0.611002545677363 \tabularnewline
94 & 19.9804 & 19.7748429088681 & 0.205557091131907 \tabularnewline
95 & 21.1584 & 21.0801126058378 & 0.0782873941622106 \tabularnewline
96 & 21.2921 & 20.8662216967469 & 0.425878303253122 \tabularnewline
97 & 20.9445 & 20.0143024509804 & 0.930197549019608 \tabularnewline
98 & 20.5731 & 19.5362812388592 & 1.03681876114082 \tabularnewline
99 & 19.3274 & 18.0124236631016 & 1.3149763368984 \tabularnewline
100 & 17.7866 & 16.6736327540107 & 1.11296724598931 \tabularnewline
101 & 17.7483 & 16.1438357843137 & 1.60446421568628 \tabularnewline
102 & 17.5648 & 16.0039539661319 & 1.5608460338681 \tabularnewline
103 & 17.4763 & 16.1486206327986 & 1.32767936720143 \tabularnewline
104 & 17.7264 & 16.9685054812834 & 0.757894518716579 \tabularnewline
105 & 18.5736 & 18.6303024509804 & -0.0567024509803923 \tabularnewline
106 & 19.9236 & 20.4296479055258 & -0.506047905525846 \tabularnewline
107 & 21.3286 & 21.7349176024955 & -0.406317602495542 \tabularnewline
108 & 20.7249 & 21.5210266934046 & -0.796126693404632 \tabularnewline
109 & 20.3334 & 20.6691074476381 & -0.335707447638146 \tabularnewline
110 & 19.7658 & 20.1910862355169 & -0.425286235516934 \tabularnewline
111 & 18.7569 & 18.6672286597594 & 0.0896713402406432 \tabularnewline
112 & 17.6963 & 17.3284377506684 & 0.367862249331554 \tabularnewline
113 & 17.7978 & 16.7986407809715 & 0.999159219028521 \tabularnewline
114 & 18.1771 & 16.6587589627897 & 1.51834103721034 \tabularnewline
115 & 18.3738 & 16.8034256294563 & 1.57037437054367 \tabularnewline
116 & 18.1996 & 17.6233104779412 & 0.576289522058825 \tabularnewline
117 & 18.8443 & 19.2851074476381 & -0.440807447638145 \tabularnewline
118 & 20.1001 & 21.0844529021836 & -0.984352902183599 \tabularnewline
119 & 21.2458 & 22.3897225991533 & -1.1439225991533 \tabularnewline
120 & 20.8381 & 22.1758316900624 & -1.33773169006239 \tabularnewline
121 & 20.1967 & 21.3239124442959 & -1.1272124442959 \tabularnewline
122 & 19.8159 & 20.8458912321747 & -1.02999123217469 \tabularnewline
123 & 18.5784 & 19.3220336564171 & -0.743633656417114 \tabularnewline
124 & 19.21 & 17.9832427473262 & 1.2267572526738 \tabularnewline
125 & 19.3419 & 17.4534457776292 & 1.88845422237077 \tabularnewline
126 & 19.12 & 17.3135639594474 & 1.80643604055259 \tabularnewline
127 & 19.1563 & 17.4582306261141 & 1.69806937388592 \tabularnewline
128 & 18.9783 & 18.2781154745989 & 0.70018452540107 \tabularnewline
129 & 20.2913 & 19.9399124442959 & 0.351387555704099 \tabularnewline
130 & 22.5439 & 21.7392578988414 & 0.804642101158646 \tabularnewline
131 & 23.2821 & 23.0445275958111 & 0.237572404188948 \tabularnewline
132 & 22.6191 & 22.8306366867201 & -0.211536686720143 \tabularnewline
133 & 22.1599 & 21.9787174409537 & 0.181182559046345 \tabularnewline
134 & 21.2766 & 21.5006962288324 & -0.224096228832444 \tabularnewline
135 & 19.0846 & 19.9768386530749 & -0.892238653074869 \tabularnewline
136 & 18.9096 & 18.638047743984 & 0.271552256016043 \tabularnewline
137 & 18.8095 & 18.108250774287 & 0.701249225713013 \tabularnewline
138 & 20.1164 & 17.9683689561052 & 2.14803104389483 \tabularnewline
139 & 20.7762 & 18.1130356227718 & 2.66316437722816 \tabularnewline
140 & 20.9044 & 18.9329204712567 & 1.97147952874331 \tabularnewline
141 & 22.0026 & 20.5947174409537 & 1.40788255904635 \tabularnewline
142 & 23.6401 & 22.3940628954991 & 1.24603710450089 \tabularnewline
143 & 25.04 & 23.6993325924688 & 1.34066740753119 \tabularnewline
144 & 24.7185 & 23.4854416833779 & 1.2330583166221 \tabularnewline
145 & 24.1752 & 22.6335224376114 & 1.54167756238859 \tabularnewline
146 & 24.1382 & 22.1555012254902 & 1.98269877450981 \tabularnewline
147 & 22.3949 & 20.6316436497326 & 1.76325635026738 \tabularnewline
148 & 21.3743 & 19.2928527406417 & 2.08144725935829 \tabularnewline
149 & 21.4911 & 18.7630557709447 & 2.72804422905526 \tabularnewline
150 & 21.2187 & 18.6231739527629 & 2.59552604723708 \tabularnewline
151 & 21.2137 & 18.7678406194296 & 2.44585938057041 \tabularnewline
152 & 21.6735 & 19.5877254679144 & 2.08577453208556 \tabularnewline
153 & 22.5096 & 21.2495224376114 & 1.26007756238859 \tabularnewline
154 & 24.3097 & 23.0488678921569 & 1.26083210784314 \tabularnewline
155 & 25.7989 & 24.3541375891266 & 1.44476241087344 \tabularnewline
156 & 25.4376 & 24.1402466800357 & 1.29735331996435 \tabularnewline
157 & 23.878 & 23.2883274342692 & 0.589672565730838 \tabularnewline
158 & 23.6966 & 22.810306222148 & 0.886293777852051 \tabularnewline
159 & 23.3544 & 21.2864486463904 & 2.06795135360962 \tabularnewline
160 & 21.1993 & 19.9476577372995 & 1.25164226270054 \tabularnewline
161 & 22.0431 & 19.4178607676025 & 2.6252392323975 \tabularnewline
162 & 22.0203 & 19.2779789494207 & 2.74232105057932 \tabularnewline
163 & 21.886 & 19.4226456160873 & 2.46335438391266 \tabularnewline
164 & 21.9771 & 20.2425304645722 & 1.73456953542781 \tabularnewline
165 & 23.0759 & 21.9043274342692 & 1.17157256573084 \tabularnewline
166 & 24.9859 & 23.7036728888146 & 1.28222711118538 \tabularnewline
167 & 26.2614 & 25.0089425857843 & 1.25245741421568 \tabularnewline
168 & 26.1127 & 24.7950516766934 & 1.31764832330659 \tabularnewline
169 & 25.6296 & 23.9431324309269 & 1.68646756907308 \tabularnewline
170 & 25.2926 & 23.4651112188057 & 1.8274887811943 \tabularnewline
171 & 22.8146 & 21.9412536430481 & 0.87334635695187 \tabularnewline
172 & 22.2974 & 20.6024627339572 & 1.69493726604278 \tabularnewline
173 & 22.8868 & 20.0726657642603 & 2.81413423573975 \tabularnewline
174 & 22.4612 & 19.9327839460784 & 2.52841605392157 \tabularnewline
175 & 22.3165 & 20.0774506127451 & 2.2390493872549 \tabularnewline
176 & 22.7319 & 20.8973354612299 & 1.83456453877005 \tabularnewline
177 & 23.2692 & 22.5591324309269 & 0.710067569073085 \tabularnewline
178 & 24.9432 & 24.3584778854724 & 0.58472211452763 \tabularnewline
179 & 27.8272 & 25.6637475824421 & 2.16345241755793 \tabularnewline
180 & 27.4059 & 25.4498566733512 & 1.95604332664884 \tabularnewline
181 & 26.6232 & 24.5979374275847 & 2.02526257241533 \tabularnewline
182 & 26.8779 & 24.1199162154635 & 2.75798378453654 \tabularnewline
183 & 25.105 & 22.5960586397059 & 2.50894136029412 \tabularnewline
184 & 23.601 & 21.257267730615 & 2.34373226938503 \tabularnewline
185 & 23.5374 & 20.727470760918 & 2.809929239082 \tabularnewline
186 & 23.5248 & 20.5875889427362 & 2.93721105726381 \tabularnewline
187 & 22.9465 & 20.7322556094029 & 2.21424439059715 \tabularnewline
188 & 23.6633 & 21.5521404578877 & 2.1111595421123 \tabularnewline
189 & 25.5932 & 23.2139374275847 & 2.37926257241533 \tabularnewline
190 & 27.7683 & 25.0132828821301 & 2.75501711786988 \tabularnewline
191 & 29.4691 & 26.3185525790998 & 3.15054742090018 \tabularnewline
192 & 28.3472 & 26.1046616700089 & 2.24253832999109 \tabularnewline
193 & 28.3879 & 25.2527424242424 & 3.13515757575757 \tabularnewline
194 & 27.9696 & 24.7747212121212 & 3.19487878787879 \tabularnewline
195 & 26.0075 & 23.2508636363636 & 2.75663636363636 \tabularnewline
196 & 24.2533 & 21.9120727272727 & 2.34122727272727 \tabularnewline
197 & 24.4999 & 21.3822757575758 & 3.11762424242424 \tabularnewline
198 & 23.8988 & 21.2423939393939 & 2.65640606060606 \tabularnewline
199 & 23.6683 & 21.3870606060606 & 2.28123939393939 \tabularnewline
200 & 23.9427 & 22.2069454545455 & 1.73575454545454 \tabularnewline
201 & 26.0155 & 23.8687424242424 & 2.14675757575757 \tabularnewline
202 & 28.9529 & 25.6680878787879 & 3.28481212121212 \tabularnewline
203 & 30.302 & 26.9733575757576 & 3.32864242424242 \tabularnewline
204 & 29.874 & 26.7594666666667 & 3.11453333333333 \tabularnewline
205 & 28.2257 & 25.9075474209002 & 2.31815257909982 \tabularnewline
206 & 28.0811 & 25.429526208779 & 2.65157379122103 \tabularnewline
207 & 26.3398 & 23.9056686330214 & 2.43413136697861 \tabularnewline
208 & 25.4847 & 22.5668777239305 & 2.91782227606952 \tabularnewline
209 & 25.4823 & 22.0370807542335 & 3.44521924576649 \tabularnewline
210 & 24.9697 & 21.8971989360517 & 3.07250106394831 \tabularnewline
211 & 25.2282 & 22.0418656027184 & 3.18633439728164 \tabularnewline
212 & 25.9257 & 22.8617504512032 & 3.06394954879679 \tabularnewline
213 & 28.7818 & 24.5235474209002 & 4.25825257909982 \tabularnewline
214 & 27.9552 & 26.3228928754456 & 1.63230712455437 \tabularnewline
215 & 33.3475 & 27.6281625724153 & 5.71933742758467 \tabularnewline
216 & 32.7834 & 27.4142716633244 & 5.36912833667558 \tabularnewline
217 & 31.6586 & 26.5623524175579 & 5.09624758244207 \tabularnewline
218 & 31.6613 & 26.0843312054367 & 5.57696879456328 \tabularnewline
219 & 29.1839 & 24.5604736296791 & 4.62342637032085 \tabularnewline
220 & 28.8825 & 23.2216827205882 & 5.66081727941177 \tabularnewline
221 & 27.6334 & 22.6918857508913 & 4.94151424910874 \tabularnewline
222 & 27.7511 & 22.5520039327094 & 5.19909606729055 \tabularnewline
223 & 27.3792 & 22.6966705993761 & 4.68252940062389 \tabularnewline
224 & 27.7748 & 23.516555447861 & 4.25824455213903 \tabularnewline
225 & 31.4329 & 25.1783524175579 & 6.25454758244207 \tabularnewline
226 & 33.2735 & 26.9776978721034 & 6.29580212789661 \tabularnewline
227 & 35.0962 & 28.2829675690731 & 6.81323243092692 \tabularnewline
228 & 34.9537 & 28.0690766599822 & 6.88462334001782 \tabularnewline
229 & 31.8307 & 27.2171574142157 & 4.61354258578431 \tabularnewline
230 & 30.9984 & 26.7391362020945 & 4.25926379790552 \tabularnewline
231 & 28.629 & 25.2152786263369 & 3.4137213736631 \tabularnewline
232 & 26.4379 & 23.876487717246 & 2.56141228275401 \tabularnewline
233 & 25.4408 & 23.346690747549 & 2.09410925245098 \tabularnewline
234 & 24.6681 & 23.2068089293672 & 1.4612910706328 \tabularnewline
235 & 24.0994 & 23.3514755960339 & 0.747924403966132 \tabularnewline
236 & 24.6043 & 24.1713604445187 & 0.432939555481282 \tabularnewline
237 & 27.2492 & 25.8331574142157 & 1.41604258578431 \tabularnewline
238 & 29.5511 & 27.6325028687611 & 1.91859713123886 \tabularnewline
239 & 29.8522 & 28.9377725657308 & 0.914427434269161 \tabularnewline
240 & 31.6989 & 28.7238816566399 & 2.97501834336007 \tabularnewline
241 & 29.6357 & 27.8719624108734 & 1.76373758912656 \tabularnewline
242 & 30.5197 & 27.3939411987522 & 3.12575880124777 \tabularnewline
243 & 32.7823 & 25.8700836229947 & 6.91221637700534 \tabularnewline
244 & 24.9942 & 24.5312927139037 & 0.462907286096255 \tabularnewline
245 & 23.5187 & 24.0014957442068 & -0.482795744206774 \tabularnewline
246 & 24.0249 & 23.861613926025 & 0.163286073975045 \tabularnewline
247 & 24.5692 & 24.0062805926916 & 0.562919407308377 \tabularnewline
248 & 24.402 & 24.8261654411765 & -0.42416544117647 \tabularnewline
249 & 26.7089 & 26.4879624108734 & 0.220937589126561 \tabularnewline
250 & 31.6874 & 28.2873078654189 & 3.40009213458111 \tabularnewline
251 & 32.8801 & 29.5925775623886 & 3.28752243761141 \tabularnewline
252 & 32.7906 & 29.3786866532977 & 3.41191334670232 \tabularnewline
253 & 30.8785 & 28.5267674075312 & 2.35173259246881 \tabularnewline
254 & 30.3024 & 28.04874619541 & 2.25365380459002 \tabularnewline
255 & 28.3679 & 26.5248886196524 & 1.84301138034759 \tabularnewline
256 & 25.6578 & 25.1860977105615 & 0.471702289438504 \tabularnewline
257 & 25.1598 & 24.6563007408645 & 0.503499259135475 \tabularnewline
258 & 24.6143 & 24.5164189226827 & 0.0978810773172933 \tabularnewline
259 & 24.528 & 24.6610855893494 & -0.133085589349376 \tabularnewline
260 & 25.2905 & 25.4809704378342 & -0.190470437834223 \tabularnewline
261 & 30.0016 & 27.1427674075312 & 2.85883259246881 \tabularnewline
262 & 34.2728 & 28.9421128620766 & 5.33068713792335 \tabularnewline
263 & 34.4408 & 30.2473825590463 & 4.19341744095366 \tabularnewline
264 & 34.1907 & 30.0334916499554 & 4.15720835004456 \tabularnewline
265 & 33.6636 & 29.1815724041889 & 4.48202759581105 \tabularnewline
266 & 33.9073 & 28.7035511920677 & 5.20374880793226 \tabularnewline
267 & 30.2175 & 27.1796936163102 & 3.03780638368984 \tabularnewline
268 & 28.5274 & 25.8409027072193 & 2.68649729278075 \tabularnewline
269 & 25.9505 & 25.3111057375223 & 0.639394262477721 \tabularnewline
270 & 26.2398 & 25.1712239193405 & 1.06857608065954 \tabularnewline
271 & 26.2819 & 25.3158905860071 & 0.966009413992872 \tabularnewline
272 & 26.7362 & 26.135775434492 & 0.600424565508022 \tabularnewline
273 & 28.8395 & 27.7975724041889 & 1.04192759581105 \tabularnewline
274 & 31.0951 & 29.5969178587344 & 1.4981821412656 \tabularnewline
275 & 33.7015 & 30.9021875557041 & 2.7993124442959 \tabularnewline
276 & 33.8091 & 30.6882966466132 & 3.12080335338681 \tabularnewline
277 & 32.1126 & 29.8363774008467 & 2.2762225991533 \tabularnewline
278 & 32 & 29.3583561887255 & 2.64164381127451 \tabularnewline
279 & 29.122 & 27.8344986129679 & 1.28750138703209 \tabularnewline
280 & 26.8124 & 26.495707703877 & 0.316692296122998 \tabularnewline
281 & 25.4654 & 25.96591073418 & -0.500510734180035 \tabularnewline
282 & 23.8331 & 25.8260289159982 & -1.99292891599821 \tabularnewline
283 & 24.714 & 25.9706955826649 & -1.25669558266488 \tabularnewline
284 & 28.3288 & 26.7905804311497 & 1.53821956885027 \tabularnewline
285 & 29.6391 & 28.4523774008467 & 1.1867225991533 \tabularnewline
286 & 32.4542 & 30.2517228553922 & 2.20247714460785 \tabularnewline
287 & 33.5657 & 31.5569925523619 & 2.00870744763815 \tabularnewline
288 & 33.1856 & 31.3431016432709 & 1.84249835672906 \tabularnewline
289 & 33.297 & 30.4911823975045 & 2.80581760249554 \tabularnewline
290 & 33.51 & 30.0131611853832 & 3.49683881461676 \tabularnewline
291 & 31.3789 & 28.4893036096257 & 2.88959639037434 \tabularnewline
292 & 29.4555 & 27.1505127005348 & 2.30498729946524 \tabularnewline
293 & 27.2699 & 26.6207157308378 & 0.649184269162212 \tabularnewline
294 & 27.2586 & 26.480833912656 & 0.777766087344031 \tabularnewline
295 & 27.8591 & 26.6255005793226 & 1.23359942067737 \tabularnewline
296 & 29.6362 & 27.4453854278075 & 2.19081457219251 \tabularnewline
297 & 30.9587 & 29.1071823975045 & 1.85151760249555 \tabularnewline
298 & 31.8633 & 30.9065278520499 & 0.956772147950088 \tabularnewline
299 & 33.8188 & 32.2117975490196 & 1.6070024509804 \tabularnewline
300 & 33.7531 & 31.9979066399287 & 1.75519336007131 \tabularnewline
301 & 33.6103 & 31.1459873941622 & 2.46431260583779 \tabularnewline
302 & 32.9052 & 30.667966182041 & 2.237233817959 \tabularnewline
303 & 29.5005 & 29.1441086062834 & 0.356391393716578 \tabularnewline
304 & 27.3634 & 27.8053176971925 & -0.441917697192512 \tabularnewline
305 & 27.2298 & 27.2755207274955 & -0.0457207274955415 \tabularnewline
306 & 26.5211 & 27.1356389093137 & -0.614538909313724 \tabularnewline
307 & 26.5228 & 27.2803055759804 & -0.757505575980389 \tabularnewline
308 & 27.2991 & 28.1001904244652 & -0.801090424465242 \tabularnewline
309 & 29.1726 & 29.7619873941622 & -0.589387394162209 \tabularnewline
310 & 30.297 & 31.5613328487077 & -1.26433284870766 \tabularnewline
311 & 32.5287 & 32.8666025456774 & -0.337902545677359 \tabularnewline
312 & 32.487 & 32.6527116365865 & -0.165711636586448 \tabularnewline
313 & 32.4197 & 31.80079239082 & 0.618907609180034 \tabularnewline
314 & 30.854 & 31.3227711786988 & -0.468771178698751 \tabularnewline
315 & 28.6995 & 29.7989136029412 & -1.09941360294117 \tabularnewline
316 & 27.7881 & 28.4601226938503 & -0.672022693850265 \tabularnewline
317 & 26.5609 & 27.9303257241533 & -1.3694257241533 \tabularnewline
318 & 25.9431 & 27.7904439059715 & -1.84734390597148 \tabularnewline
319 & 25.5578 & 27.9351105726381 & -2.37731057263815 \tabularnewline
320 & 27.1275 & 28.754995421123 & -1.62749542112299 \tabularnewline
321 & 30.2556 & 30.41679239082 & -0.161192390819963 \tabularnewline
322 & 34.0976 & 32.2161378453654 & 1.88146215463458 \tabularnewline
323 & 34.5614 & 33.5214075423351 & 1.03999245766488 \tabularnewline
324 & 34.2948 & 33.3075166332442 & 0.987283366755796 \tabularnewline
325 & 33.3418 & 32.4555973874777 & 0.88620261252228 \tabularnewline
326 & 31.8187 & 31.9775761753565 & -0.158876175356506 \tabularnewline
327 & 29.0818 & 30.4537185995989 & -1.37191859959893 \tabularnewline
328 & 27.3444 & 29.114927690508 & -1.77052769050802 \tabularnewline
329 & 26.6233 & 28.5851307208111 & -1.96183072081105 \tabularnewline
330 & 26.1869 & 28.4452489026292 & -2.25834890262924 \tabularnewline
331 & 26.2953 & 28.5899155692959 & -2.2946155692959 \tabularnewline
332 & 28.7043 & 29.4098004177808 & -0.705500417780751 \tabularnewline
333 & 32.0653 & 31.0715973874777 & 0.993702612522283 \tabularnewline
334 & 34.5401 & 32.8709428420232 & 1.66915715797683 \tabularnewline
335 & 34.6636 & 34.1762125389929 & 0.487387461007134 \tabularnewline
336 & 34.2557 & 33.962321629902 & 0.293378370098038 \tabularnewline
337 & 32.0526 & 33.1104023841355 & -1.05780238413547 \tabularnewline
338 & 30.6892 & 32.6323811720143 & -1.94318117201426 \tabularnewline
339 & 28.012 & 31.1085235962567 & -3.09652359625668 \tabularnewline
340 & 26.1528 & 29.7697326871658 & -3.61693268716578 \tabularnewline
341 & 23.2276 & 29.2399357174688 & -6.01233571746881 \tabularnewline
342 & 24.244 & 29.100053899287 & -4.85605389928699 \tabularnewline
343 & 24.8141 & 29.2447205659537 & -4.43062056595365 \tabularnewline
344 & 27.8632 & 30.0646054144385 & -2.20140541443851 \tabularnewline
345 & 29.6233 & 31.7264023841355 & -2.10310238413547 \tabularnewline
346 & 32.4245 & 33.5257478386809 & -1.10124783868092 \tabularnewline
347 & 33.3417 & 34.8310175356506 & -1.48931753565062 \tabularnewline
348 & 33.0442 & 34.6171266265597 & -1.57292662655972 \tabularnewline
349 & 32.0526 & 33.7652073807932 & -1.71260738079323 \tabularnewline
350 & 30.2182 & 33.287186168672 & -3.06898616867202 \tabularnewline
351 & 28.9292 & 31.7633285929144 & -2.83412859291444 \tabularnewline
352 & 26.8221 & 30.4245376838235 & -3.60243768382353 \tabularnewline
353 & 26.1032 & 29.8947407141266 & -3.79154071412656 \tabularnewline
354 & 25.9792 & 29.7548588959447 & -3.77565889594475 \tabularnewline
355 & 27.1443 & 29.8995255626114 & -2.75522556261141 \tabularnewline
356 & 29.4993 & 30.7194104110963 & -1.22011041109625 \tabularnewline
357 & 31.656 & 32.3812073807932 & -0.725207380793228 \tabularnewline
358 & 33.3665 & 34.1805528353387 & -0.81405283533868 \tabularnewline
359 & 35.0521 & 35.4858225323084 & -0.433722532308374 \tabularnewline
360 & 34.4076 & 35.2719316232175 & -0.864331623217465 \tabularnewline
361 & 33.069 & 34.420012377451 & -1.35101237745098 \tabularnewline
362 & 31.5816 & 33.9419911653298 & -2.36039116532977 \tabularnewline
363 & 30.0695 & 32.4181335895722 & -2.34863358957219 \tabularnewline
364 & 29.0035 & 31.0793426804813 & -2.07584268048128 \tabularnewline
365 & 28.6813 & 30.5495457107843 & -1.86824571078432 \tabularnewline
366 & 28.359 & 30.4096638926025 & -2.05066389260249 \tabularnewline
367 & 30.0447 & 30.5543305592692 & -0.509630559269167 \tabularnewline
368 & 31.5073 & 31.374215407754 & 0.133084592245991 \tabularnewline
369 & 34.16 & 33.036012377451 & 1.12398762254902 \tabularnewline
370 & 35.57 & 34.8353578319964 & 0.734642168003564 \tabularnewline
371 & 36.42 & 36.1406275289661 & 0.279372471033872 \tabularnewline
372 & 35.12 & 35.9267366198752 & -0.806736619875223 \tabularnewline
373 & 33.14 & 35.0748173741087 & -1.93481737410874 \tabularnewline
374 & 30.29 & 34.5967961619875 & -4.30679616198752 \tabularnewline
375 & 28.2 & 33.07293858623 & -4.87293858622995 \tabularnewline
376 & 26.5 & 31.734147677139 & -5.23414767713904 \tabularnewline
377 & 25.47 & 31.2043507074421 & -5.73435070744207 \tabularnewline
378 & 24.96 & 31.0644688892603 & -6.10446888926025 \tabularnewline
379 & 25.6 & 31.2091355559269 & -5.60913555592692 \tabularnewline
380 & 27.76 & 32.0290204044118 & -4.26902040441176 \tabularnewline
381 & 30.13 & 33.6908173741087 & -3.56081737410874 \tabularnewline
382 & 32.35 & 35.4901628286542 & -3.14016282865419 \tabularnewline
383 & 32.8 & 36.7954325256239 & -3.99543252562389 \tabularnewline
384 & 32.54 & 36.581541616533 & -4.04154161653298 \tabularnewline
385 & 29.78 & 35.7296223707665 & -5.94962237076649 \tabularnewline
386 & 28.79 & 35.2516011586453 & -6.46160115864528 \tabularnewline
387 & 26.8 & 33.7277435828877 & -6.9277435828877 \tabularnewline
388 & 25.41 & 32.3889526737968 & -6.97895267379679 \tabularnewline
389 & 24.34 & 31.8591557040998 & -7.51915570409982 \tabularnewline
390 & 24.39 & 31.719273885918 & -7.329273885918 \tabularnewline
391 & 25 & 31.8639405525847 & -6.86394055258467 \tabularnewline
392 & 26.27 & 32.6838254010695 & -6.41382540106952 \tabularnewline
393 & 27.88 & 34.3456223707665 & -6.46562237076649 \tabularnewline
394 & 29.35 & 36.1449678253119 & -6.79496782531194 \tabularnewline
395 & 29.83 & 37.4502375222816 & -7.62023752228164 \tabularnewline
396 & 29.46 & 37.2363466131907 & -7.77634661319073 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203059&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]8.9634[/C][C]14.7758624777183[/C][C]-5.81246247771833[/C][/ROW]
[ROW][C]2[/C][C]8.9522[/C][C]14.2978412655971[/C][C]-5.34564126559715[/C][/ROW]
[ROW][C]3[/C][C]8.8682[/C][C]12.7739836898396[/C][C]-3.90578368983958[/C][/ROW]
[ROW][C]4[/C][C]8.7331[/C][C]11.4351927807487[/C][C]-2.70209278074866[/C][/ROW]
[ROW][C]5[/C][C]8.3188[/C][C]10.9053958110517[/C][C]-2.58659581105169[/C][/ROW]
[ROW][C]6[/C][C]8.3462[/C][C]10.7655139928699[/C][C]-2.41931399286988[/C][/ROW]
[ROW][C]7[/C][C]8.3087[/C][C]10.9101806595365[/C][C]-2.60148065953654[/C][/ROW]
[ROW][C]8[/C][C]8.3836[/C][C]11.7300655080214[/C][C]-3.34646550802139[/C][/ROW]
[ROW][C]9[/C][C]8.8412[/C][C]13.3918624777184[/C][C]-4.55066247771836[/C][/ROW]
[ROW][C]10[/C][C]9.5001[/C][C]15.1912079322638[/C][C]-5.69110793226382[/C][/ROW]
[ROW][C]11[/C][C]10.1883[/C][C]16.4964776292335[/C][C]-6.30817762923352[/C][/ROW]
[ROW][C]12[/C][C]10.2931[/C][C]16.2825867201426[/C][C]-5.9894867201426[/C][/ROW]
[ROW][C]13[/C][C]10.1945[/C][C]15.4306674743761[/C][C]-5.23616747437611[/C][/ROW]
[ROW][C]14[/C][C]10.3014[/C][C]14.9526462622549[/C][C]-4.6512462622549[/C][/ROW]
[ROW][C]15[/C][C]10.0675[/C][C]13.4287886864973[/C][C]-3.36128868649733[/C][/ROW]
[ROW][C]16[/C][C]9.6715[/C][C]12.0899977774064[/C][C]-2.41849777740642[/C][/ROW]
[ROW][C]17[/C][C]9.5019[/C][C]11.5602008077094[/C][C]-2.05830080770945[/C][/ROW]
[ROW][C]18[/C][C]9.4597[/C][C]11.4203189895276[/C][C]-1.96061898952763[/C][/ROW]
[ROW][C]19[/C][C]9.4362[/C][C]11.5649856561943[/C][C]-2.1287856561943[/C][/ROW]
[ROW][C]20[/C][C]9.5919[/C][C]12.3848705046791[/C][C]-2.79297050467914[/C][/ROW]
[ROW][C]21[/C][C]10.0167[/C][C]14.0466674743761[/C][C]-4.02996747437612[/C][/ROW]
[ROW][C]22[/C][C]10.322[/C][C]15.8460129289216[/C][C]-5.52401292892157[/C][/ROW]
[ROW][C]23[/C][C]11.166[/C][C]17.1512826258913[/C][C]-5.98528262589127[/C][/ROW]
[ROW][C]24[/C][C]11.5454[/C][C]16.9373917168004[/C][C]-5.39199171680036[/C][/ROW]
[ROW][C]25[/C][C]11.3712[/C][C]16.0854724710339[/C][C]-4.71427247103387[/C][/ROW]
[ROW][C]26[/C][C]11.0723[/C][C]15.6074512589127[/C][C]-4.53515125891266[/C][/ROW]
[ROW][C]27[/C][C]10.813[/C][C]14.0835936831551[/C][C]-3.27059368315508[/C][/ROW]
[ROW][C]28[/C][C]10.3016[/C][C]12.7448027740642[/C][C]-2.44320277406417[/C][/ROW]
[ROW][C]29[/C][C]10.4227[/C][C]12.2150058043672[/C][C]-1.7923058043672[/C][/ROW]
[ROW][C]30[/C][C]10.3162[/C][C]12.0751239861854[/C][C]-1.75892398618539[/C][/ROW]
[ROW][C]31[/C][C]10.4519[/C][C]12.2197906528521[/C][C]-1.76789065285205[/C][/ROW]
[ROW][C]32[/C][C]10.8567[/C][C]13.0396755013369[/C][C]-2.1829755013369[/C][/ROW]
[ROW][C]33[/C][C]11.2716[/C][C]14.7014724710339[/C][C]-3.42987247103387[/C][/ROW]
[ROW][C]34[/C][C]11.4341[/C][C]16.5008179255793[/C][C]-5.06671792557933[/C][/ROW]
[ROW][C]35[/C][C]12.1273[/C][C]17.806087622549[/C][C]-5.67878762254902[/C][/ROW]
[ROW][C]36[/C][C]11.9814[/C][C]17.5921967134581[/C][C]-5.61079671345811[/C][/ROW]
[ROW][C]37[/C][C]11.8352[/C][C]16.7402774676916[/C][C]-4.90507746769163[/C][/ROW]
[ROW][C]38[/C][C]11.9847[/C][C]16.2622562555704[/C][C]-4.27755625557041[/C][/ROW]
[ROW][C]39[/C][C]11.545[/C][C]14.7383986798128[/C][C]-3.19339867981284[/C][/ROW]
[ROW][C]40[/C][C]11.5285[/C][C]13.3996077707219[/C][C]-1.87110777072193[/C][/ROW]
[ROW][C]41[/C][C]11.5539[/C][C]12.869810801025[/C][C]-1.31591080102496[/C][/ROW]
[ROW][C]42[/C][C]11.622[/C][C]12.7299289828431[/C][C]-1.10792898284314[/C][/ROW]
[ROW][C]43[/C][C]11.6578[/C][C]12.8745956495098[/C][C]-1.21679564950981[/C][/ROW]
[ROW][C]44[/C][C]11.6767[/C][C]13.6944804979947[/C][C]-2.01778049799465[/C][/ROW]
[ROW][C]45[/C][C]11.8752[/C][C]15.3562774676916[/C][C]-3.48107746769162[/C][/ROW]
[ROW][C]46[/C][C]13.2643[/C][C]17.1556229222371[/C][C]-3.89132292223708[/C][/ROW]
[ROW][C]47[/C][C]14.2297[/C][C]18.4608926192068[/C][C]-4.23119261920678[/C][/ROW]
[ROW][C]48[/C][C]14.308[/C][C]18.2470017101159[/C][C]-3.93900171011587[/C][/ROW]
[ROW][C]49[/C][C]13.7915[/C][C]17.3950824643494[/C][C]-3.60358246434938[/C][/ROW]
[ROW][C]50[/C][C]13.7633[/C][C]16.9170612522282[/C][C]-3.15376125222816[/C][/ROW]
[ROW][C]51[/C][C]13.9775[/C][C]15.3932036764706[/C][C]-1.41570367647059[/C][/ROW]
[ROW][C]52[/C][C]13.6478[/C][C]14.0544127673797[/C][C]-0.406612767379682[/C][/ROW]
[ROW][C]53[/C][C]13.2247[/C][C]13.5246157976827[/C][C]-0.299915797682711[/C][/ROW]
[ROW][C]54[/C][C]13.0971[/C][C]13.3847339795009[/C][C]-0.287633979500895[/C][/ROW]
[ROW][C]55[/C][C]13.1039[/C][C]13.5294006461676[/C][C]-0.425500646167558[/C][/ROW]
[ROW][C]56[/C][C]13.206[/C][C]14.3492854946524[/C][C]-1.14328549465241[/C][/ROW]
[ROW][C]57[/C][C]13.7901[/C][C]16.0110824643494[/C][C]-2.22098246434938[/C][/ROW]
[ROW][C]58[/C][C]14.6457[/C][C]17.8104279188948[/C][C]-3.16472791889483[/C][/ROW]
[ROW][C]59[/C][C]15.5764[/C][C]19.1156976158645[/C][C]-3.53929761586453[/C][/ROW]
[ROW][C]60[/C][C]15.6102[/C][C]18.9018067067736[/C][C]-3.29160670677362[/C][/ROW]
[ROW][C]61[/C][C]15.8855[/C][C]18.0498874610071[/C][C]-2.16438746100713[/C][/ROW]
[ROW][C]62[/C][C]16.0137[/C][C]17.5718662488859[/C][C]-1.55816624888592[/C][/ROW]
[ROW][C]63[/C][C]15.6186[/C][C]16.0480086731283[/C][C]-0.429408673128341[/C][/ROW]
[ROW][C]64[/C][C]15.384[/C][C]14.7092177640374[/C][C]0.674782235962569[/C][/ROW]
[ROW][C]65[/C][C]15.2751[/C][C]14.1794207943405[/C][C]1.09567920565954[/C][/ROW]
[ROW][C]66[/C][C]15.0912[/C][C]14.0395389761586[/C][C]1.05166102384136[/C][/ROW]
[ROW][C]67[/C][C]14.9222[/C][C]14.1842056428253[/C][C]0.73799435717469[/C][/ROW]
[ROW][C]68[/C][C]15.6231[/C][C]15.0040904913102[/C][C]0.61900950868984[/C][/ROW]
[ROW][C]69[/C][C]16.6737[/C][C]16.6658874610071[/C][C]0.0078125389928715[/C][/ROW]
[ROW][C]70[/C][C]17.6805[/C][C]18.4652329155526[/C][C]-0.784732915552586[/C][/ROW]
[ROW][C]71[/C][C]19.1919[/C][C]19.7705026125223[/C][C]-0.578602612522283[/C][/ROW]
[ROW][C]72[/C][C]19.1711[/C][C]19.5566117034314[/C][C]-0.385511703431374[/C][/ROW]
[ROW][C]73[/C][C]18.5658[/C][C]18.7046924576649[/C][C]-0.138892457664888[/C][/ROW]
[ROW][C]74[/C][C]18.1285[/C][C]18.2266712455437[/C][C]-0.0981712455436737[/C][/ROW]
[ROW][C]75[/C][C]16.791[/C][C]16.7028136697861[/C][C]0.0881863302139057[/C][/ROW]
[ROW][C]76[/C][C]16.9468[/C][C]15.3640227606952[/C][C]1.58277723930481[/C][/ROW]
[ROW][C]77[/C][C]17.3164[/C][C]14.8342257909982[/C][C]2.48217420900178[/C][/ROW]
[ROW][C]78[/C][C]17.1816[/C][C]14.6943439728164[/C][C]2.4872560271836[/C][/ROW]
[ROW][C]79[/C][C]16.7627[/C][C]14.8390106394831[/C][C]1.92368936051694[/C][/ROW]
[ROW][C]80[/C][C]17.239[/C][C]15.6588954879679[/C][C]1.58010451203209[/C][/ROW]
[ROW][C]81[/C][C]17.8838[/C][C]17.3206924576649[/C][C]0.563107542335119[/C][/ROW]
[ROW][C]82[/C][C]18.9038[/C][C]19.1200379122103[/C][C]-0.216237912210339[/C][/ROW]
[ROW][C]83[/C][C]20.0274[/C][C]20.42530760918[/C][C]-0.397907609180038[/C][/ROW]
[ROW][C]84[/C][C]20.0087[/C][C]20.2114167000891[/C][C]-0.202716700089126[/C][/ROW]
[ROW][C]85[/C][C]19.6366[/C][C]19.3594974543226[/C][C]0.27710254567736[/C][/ROW]
[ROW][C]86[/C][C]19.8163[/C][C]18.8814762422014[/C][C]0.934823757798573[/C][/ROW]
[ROW][C]87[/C][C]18.8602[/C][C]17.3576186664439[/C][C]1.50258133355615[/C][/ROW]
[ROW][C]88[/C][C]17.9206[/C][C]16.0188277573529[/C][C]1.90177224264706[/C][/ROW]
[ROW][C]89[/C][C]17.6889[/C][C]15.489030787656[/C][C]2.19986921234403[/C][/ROW]
[ROW][C]90[/C][C]17.84[/C][C]15.3491489694742[/C][C]2.49085103052585[/C][/ROW]
[ROW][C]91[/C][C]17.678[/C][C]15.4938156361408[/C][C]2.18418436385918[/C][/ROW]
[ROW][C]92[/C][C]17.7258[/C][C]16.3137004846257[/C][C]1.41209951537433[/C][/ROW]
[ROW][C]93[/C][C]18.5865[/C][C]17.9754974543226[/C][C]0.611002545677363[/C][/ROW]
[ROW][C]94[/C][C]19.9804[/C][C]19.7748429088681[/C][C]0.205557091131907[/C][/ROW]
[ROW][C]95[/C][C]21.1584[/C][C]21.0801126058378[/C][C]0.0782873941622106[/C][/ROW]
[ROW][C]96[/C][C]21.2921[/C][C]20.8662216967469[/C][C]0.425878303253122[/C][/ROW]
[ROW][C]97[/C][C]20.9445[/C][C]20.0143024509804[/C][C]0.930197549019608[/C][/ROW]
[ROW][C]98[/C][C]20.5731[/C][C]19.5362812388592[/C][C]1.03681876114082[/C][/ROW]
[ROW][C]99[/C][C]19.3274[/C][C]18.0124236631016[/C][C]1.3149763368984[/C][/ROW]
[ROW][C]100[/C][C]17.7866[/C][C]16.6736327540107[/C][C]1.11296724598931[/C][/ROW]
[ROW][C]101[/C][C]17.7483[/C][C]16.1438357843137[/C][C]1.60446421568628[/C][/ROW]
[ROW][C]102[/C][C]17.5648[/C][C]16.0039539661319[/C][C]1.5608460338681[/C][/ROW]
[ROW][C]103[/C][C]17.4763[/C][C]16.1486206327986[/C][C]1.32767936720143[/C][/ROW]
[ROW][C]104[/C][C]17.7264[/C][C]16.9685054812834[/C][C]0.757894518716579[/C][/ROW]
[ROW][C]105[/C][C]18.5736[/C][C]18.6303024509804[/C][C]-0.0567024509803923[/C][/ROW]
[ROW][C]106[/C][C]19.9236[/C][C]20.4296479055258[/C][C]-0.506047905525846[/C][/ROW]
[ROW][C]107[/C][C]21.3286[/C][C]21.7349176024955[/C][C]-0.406317602495542[/C][/ROW]
[ROW][C]108[/C][C]20.7249[/C][C]21.5210266934046[/C][C]-0.796126693404632[/C][/ROW]
[ROW][C]109[/C][C]20.3334[/C][C]20.6691074476381[/C][C]-0.335707447638146[/C][/ROW]
[ROW][C]110[/C][C]19.7658[/C][C]20.1910862355169[/C][C]-0.425286235516934[/C][/ROW]
[ROW][C]111[/C][C]18.7569[/C][C]18.6672286597594[/C][C]0.0896713402406432[/C][/ROW]
[ROW][C]112[/C][C]17.6963[/C][C]17.3284377506684[/C][C]0.367862249331554[/C][/ROW]
[ROW][C]113[/C][C]17.7978[/C][C]16.7986407809715[/C][C]0.999159219028521[/C][/ROW]
[ROW][C]114[/C][C]18.1771[/C][C]16.6587589627897[/C][C]1.51834103721034[/C][/ROW]
[ROW][C]115[/C][C]18.3738[/C][C]16.8034256294563[/C][C]1.57037437054367[/C][/ROW]
[ROW][C]116[/C][C]18.1996[/C][C]17.6233104779412[/C][C]0.576289522058825[/C][/ROW]
[ROW][C]117[/C][C]18.8443[/C][C]19.2851074476381[/C][C]-0.440807447638145[/C][/ROW]
[ROW][C]118[/C][C]20.1001[/C][C]21.0844529021836[/C][C]-0.984352902183599[/C][/ROW]
[ROW][C]119[/C][C]21.2458[/C][C]22.3897225991533[/C][C]-1.1439225991533[/C][/ROW]
[ROW][C]120[/C][C]20.8381[/C][C]22.1758316900624[/C][C]-1.33773169006239[/C][/ROW]
[ROW][C]121[/C][C]20.1967[/C][C]21.3239124442959[/C][C]-1.1272124442959[/C][/ROW]
[ROW][C]122[/C][C]19.8159[/C][C]20.8458912321747[/C][C]-1.02999123217469[/C][/ROW]
[ROW][C]123[/C][C]18.5784[/C][C]19.3220336564171[/C][C]-0.743633656417114[/C][/ROW]
[ROW][C]124[/C][C]19.21[/C][C]17.9832427473262[/C][C]1.2267572526738[/C][/ROW]
[ROW][C]125[/C][C]19.3419[/C][C]17.4534457776292[/C][C]1.88845422237077[/C][/ROW]
[ROW][C]126[/C][C]19.12[/C][C]17.3135639594474[/C][C]1.80643604055259[/C][/ROW]
[ROW][C]127[/C][C]19.1563[/C][C]17.4582306261141[/C][C]1.69806937388592[/C][/ROW]
[ROW][C]128[/C][C]18.9783[/C][C]18.2781154745989[/C][C]0.70018452540107[/C][/ROW]
[ROW][C]129[/C][C]20.2913[/C][C]19.9399124442959[/C][C]0.351387555704099[/C][/ROW]
[ROW][C]130[/C][C]22.5439[/C][C]21.7392578988414[/C][C]0.804642101158646[/C][/ROW]
[ROW][C]131[/C][C]23.2821[/C][C]23.0445275958111[/C][C]0.237572404188948[/C][/ROW]
[ROW][C]132[/C][C]22.6191[/C][C]22.8306366867201[/C][C]-0.211536686720143[/C][/ROW]
[ROW][C]133[/C][C]22.1599[/C][C]21.9787174409537[/C][C]0.181182559046345[/C][/ROW]
[ROW][C]134[/C][C]21.2766[/C][C]21.5006962288324[/C][C]-0.224096228832444[/C][/ROW]
[ROW][C]135[/C][C]19.0846[/C][C]19.9768386530749[/C][C]-0.892238653074869[/C][/ROW]
[ROW][C]136[/C][C]18.9096[/C][C]18.638047743984[/C][C]0.271552256016043[/C][/ROW]
[ROW][C]137[/C][C]18.8095[/C][C]18.108250774287[/C][C]0.701249225713013[/C][/ROW]
[ROW][C]138[/C][C]20.1164[/C][C]17.9683689561052[/C][C]2.14803104389483[/C][/ROW]
[ROW][C]139[/C][C]20.7762[/C][C]18.1130356227718[/C][C]2.66316437722816[/C][/ROW]
[ROW][C]140[/C][C]20.9044[/C][C]18.9329204712567[/C][C]1.97147952874331[/C][/ROW]
[ROW][C]141[/C][C]22.0026[/C][C]20.5947174409537[/C][C]1.40788255904635[/C][/ROW]
[ROW][C]142[/C][C]23.6401[/C][C]22.3940628954991[/C][C]1.24603710450089[/C][/ROW]
[ROW][C]143[/C][C]25.04[/C][C]23.6993325924688[/C][C]1.34066740753119[/C][/ROW]
[ROW][C]144[/C][C]24.7185[/C][C]23.4854416833779[/C][C]1.2330583166221[/C][/ROW]
[ROW][C]145[/C][C]24.1752[/C][C]22.6335224376114[/C][C]1.54167756238859[/C][/ROW]
[ROW][C]146[/C][C]24.1382[/C][C]22.1555012254902[/C][C]1.98269877450981[/C][/ROW]
[ROW][C]147[/C][C]22.3949[/C][C]20.6316436497326[/C][C]1.76325635026738[/C][/ROW]
[ROW][C]148[/C][C]21.3743[/C][C]19.2928527406417[/C][C]2.08144725935829[/C][/ROW]
[ROW][C]149[/C][C]21.4911[/C][C]18.7630557709447[/C][C]2.72804422905526[/C][/ROW]
[ROW][C]150[/C][C]21.2187[/C][C]18.6231739527629[/C][C]2.59552604723708[/C][/ROW]
[ROW][C]151[/C][C]21.2137[/C][C]18.7678406194296[/C][C]2.44585938057041[/C][/ROW]
[ROW][C]152[/C][C]21.6735[/C][C]19.5877254679144[/C][C]2.08577453208556[/C][/ROW]
[ROW][C]153[/C][C]22.5096[/C][C]21.2495224376114[/C][C]1.26007756238859[/C][/ROW]
[ROW][C]154[/C][C]24.3097[/C][C]23.0488678921569[/C][C]1.26083210784314[/C][/ROW]
[ROW][C]155[/C][C]25.7989[/C][C]24.3541375891266[/C][C]1.44476241087344[/C][/ROW]
[ROW][C]156[/C][C]25.4376[/C][C]24.1402466800357[/C][C]1.29735331996435[/C][/ROW]
[ROW][C]157[/C][C]23.878[/C][C]23.2883274342692[/C][C]0.589672565730838[/C][/ROW]
[ROW][C]158[/C][C]23.6966[/C][C]22.810306222148[/C][C]0.886293777852051[/C][/ROW]
[ROW][C]159[/C][C]23.3544[/C][C]21.2864486463904[/C][C]2.06795135360962[/C][/ROW]
[ROW][C]160[/C][C]21.1993[/C][C]19.9476577372995[/C][C]1.25164226270054[/C][/ROW]
[ROW][C]161[/C][C]22.0431[/C][C]19.4178607676025[/C][C]2.6252392323975[/C][/ROW]
[ROW][C]162[/C][C]22.0203[/C][C]19.2779789494207[/C][C]2.74232105057932[/C][/ROW]
[ROW][C]163[/C][C]21.886[/C][C]19.4226456160873[/C][C]2.46335438391266[/C][/ROW]
[ROW][C]164[/C][C]21.9771[/C][C]20.2425304645722[/C][C]1.73456953542781[/C][/ROW]
[ROW][C]165[/C][C]23.0759[/C][C]21.9043274342692[/C][C]1.17157256573084[/C][/ROW]
[ROW][C]166[/C][C]24.9859[/C][C]23.7036728888146[/C][C]1.28222711118538[/C][/ROW]
[ROW][C]167[/C][C]26.2614[/C][C]25.0089425857843[/C][C]1.25245741421568[/C][/ROW]
[ROW][C]168[/C][C]26.1127[/C][C]24.7950516766934[/C][C]1.31764832330659[/C][/ROW]
[ROW][C]169[/C][C]25.6296[/C][C]23.9431324309269[/C][C]1.68646756907308[/C][/ROW]
[ROW][C]170[/C][C]25.2926[/C][C]23.4651112188057[/C][C]1.8274887811943[/C][/ROW]
[ROW][C]171[/C][C]22.8146[/C][C]21.9412536430481[/C][C]0.87334635695187[/C][/ROW]
[ROW][C]172[/C][C]22.2974[/C][C]20.6024627339572[/C][C]1.69493726604278[/C][/ROW]
[ROW][C]173[/C][C]22.8868[/C][C]20.0726657642603[/C][C]2.81413423573975[/C][/ROW]
[ROW][C]174[/C][C]22.4612[/C][C]19.9327839460784[/C][C]2.52841605392157[/C][/ROW]
[ROW][C]175[/C][C]22.3165[/C][C]20.0774506127451[/C][C]2.2390493872549[/C][/ROW]
[ROW][C]176[/C][C]22.7319[/C][C]20.8973354612299[/C][C]1.83456453877005[/C][/ROW]
[ROW][C]177[/C][C]23.2692[/C][C]22.5591324309269[/C][C]0.710067569073085[/C][/ROW]
[ROW][C]178[/C][C]24.9432[/C][C]24.3584778854724[/C][C]0.58472211452763[/C][/ROW]
[ROW][C]179[/C][C]27.8272[/C][C]25.6637475824421[/C][C]2.16345241755793[/C][/ROW]
[ROW][C]180[/C][C]27.4059[/C][C]25.4498566733512[/C][C]1.95604332664884[/C][/ROW]
[ROW][C]181[/C][C]26.6232[/C][C]24.5979374275847[/C][C]2.02526257241533[/C][/ROW]
[ROW][C]182[/C][C]26.8779[/C][C]24.1199162154635[/C][C]2.75798378453654[/C][/ROW]
[ROW][C]183[/C][C]25.105[/C][C]22.5960586397059[/C][C]2.50894136029412[/C][/ROW]
[ROW][C]184[/C][C]23.601[/C][C]21.257267730615[/C][C]2.34373226938503[/C][/ROW]
[ROW][C]185[/C][C]23.5374[/C][C]20.727470760918[/C][C]2.809929239082[/C][/ROW]
[ROW][C]186[/C][C]23.5248[/C][C]20.5875889427362[/C][C]2.93721105726381[/C][/ROW]
[ROW][C]187[/C][C]22.9465[/C][C]20.7322556094029[/C][C]2.21424439059715[/C][/ROW]
[ROW][C]188[/C][C]23.6633[/C][C]21.5521404578877[/C][C]2.1111595421123[/C][/ROW]
[ROW][C]189[/C][C]25.5932[/C][C]23.2139374275847[/C][C]2.37926257241533[/C][/ROW]
[ROW][C]190[/C][C]27.7683[/C][C]25.0132828821301[/C][C]2.75501711786988[/C][/ROW]
[ROW][C]191[/C][C]29.4691[/C][C]26.3185525790998[/C][C]3.15054742090018[/C][/ROW]
[ROW][C]192[/C][C]28.3472[/C][C]26.1046616700089[/C][C]2.24253832999109[/C][/ROW]
[ROW][C]193[/C][C]28.3879[/C][C]25.2527424242424[/C][C]3.13515757575757[/C][/ROW]
[ROW][C]194[/C][C]27.9696[/C][C]24.7747212121212[/C][C]3.19487878787879[/C][/ROW]
[ROW][C]195[/C][C]26.0075[/C][C]23.2508636363636[/C][C]2.75663636363636[/C][/ROW]
[ROW][C]196[/C][C]24.2533[/C][C]21.9120727272727[/C][C]2.34122727272727[/C][/ROW]
[ROW][C]197[/C][C]24.4999[/C][C]21.3822757575758[/C][C]3.11762424242424[/C][/ROW]
[ROW][C]198[/C][C]23.8988[/C][C]21.2423939393939[/C][C]2.65640606060606[/C][/ROW]
[ROW][C]199[/C][C]23.6683[/C][C]21.3870606060606[/C][C]2.28123939393939[/C][/ROW]
[ROW][C]200[/C][C]23.9427[/C][C]22.2069454545455[/C][C]1.73575454545454[/C][/ROW]
[ROW][C]201[/C][C]26.0155[/C][C]23.8687424242424[/C][C]2.14675757575757[/C][/ROW]
[ROW][C]202[/C][C]28.9529[/C][C]25.6680878787879[/C][C]3.28481212121212[/C][/ROW]
[ROW][C]203[/C][C]30.302[/C][C]26.9733575757576[/C][C]3.32864242424242[/C][/ROW]
[ROW][C]204[/C][C]29.874[/C][C]26.7594666666667[/C][C]3.11453333333333[/C][/ROW]
[ROW][C]205[/C][C]28.2257[/C][C]25.9075474209002[/C][C]2.31815257909982[/C][/ROW]
[ROW][C]206[/C][C]28.0811[/C][C]25.429526208779[/C][C]2.65157379122103[/C][/ROW]
[ROW][C]207[/C][C]26.3398[/C][C]23.9056686330214[/C][C]2.43413136697861[/C][/ROW]
[ROW][C]208[/C][C]25.4847[/C][C]22.5668777239305[/C][C]2.91782227606952[/C][/ROW]
[ROW][C]209[/C][C]25.4823[/C][C]22.0370807542335[/C][C]3.44521924576649[/C][/ROW]
[ROW][C]210[/C][C]24.9697[/C][C]21.8971989360517[/C][C]3.07250106394831[/C][/ROW]
[ROW][C]211[/C][C]25.2282[/C][C]22.0418656027184[/C][C]3.18633439728164[/C][/ROW]
[ROW][C]212[/C][C]25.9257[/C][C]22.8617504512032[/C][C]3.06394954879679[/C][/ROW]
[ROW][C]213[/C][C]28.7818[/C][C]24.5235474209002[/C][C]4.25825257909982[/C][/ROW]
[ROW][C]214[/C][C]27.9552[/C][C]26.3228928754456[/C][C]1.63230712455437[/C][/ROW]
[ROW][C]215[/C][C]33.3475[/C][C]27.6281625724153[/C][C]5.71933742758467[/C][/ROW]
[ROW][C]216[/C][C]32.7834[/C][C]27.4142716633244[/C][C]5.36912833667558[/C][/ROW]
[ROW][C]217[/C][C]31.6586[/C][C]26.5623524175579[/C][C]5.09624758244207[/C][/ROW]
[ROW][C]218[/C][C]31.6613[/C][C]26.0843312054367[/C][C]5.57696879456328[/C][/ROW]
[ROW][C]219[/C][C]29.1839[/C][C]24.5604736296791[/C][C]4.62342637032085[/C][/ROW]
[ROW][C]220[/C][C]28.8825[/C][C]23.2216827205882[/C][C]5.66081727941177[/C][/ROW]
[ROW][C]221[/C][C]27.6334[/C][C]22.6918857508913[/C][C]4.94151424910874[/C][/ROW]
[ROW][C]222[/C][C]27.7511[/C][C]22.5520039327094[/C][C]5.19909606729055[/C][/ROW]
[ROW][C]223[/C][C]27.3792[/C][C]22.6966705993761[/C][C]4.68252940062389[/C][/ROW]
[ROW][C]224[/C][C]27.7748[/C][C]23.516555447861[/C][C]4.25824455213903[/C][/ROW]
[ROW][C]225[/C][C]31.4329[/C][C]25.1783524175579[/C][C]6.25454758244207[/C][/ROW]
[ROW][C]226[/C][C]33.2735[/C][C]26.9776978721034[/C][C]6.29580212789661[/C][/ROW]
[ROW][C]227[/C][C]35.0962[/C][C]28.2829675690731[/C][C]6.81323243092692[/C][/ROW]
[ROW][C]228[/C][C]34.9537[/C][C]28.0690766599822[/C][C]6.88462334001782[/C][/ROW]
[ROW][C]229[/C][C]31.8307[/C][C]27.2171574142157[/C][C]4.61354258578431[/C][/ROW]
[ROW][C]230[/C][C]30.9984[/C][C]26.7391362020945[/C][C]4.25926379790552[/C][/ROW]
[ROW][C]231[/C][C]28.629[/C][C]25.2152786263369[/C][C]3.4137213736631[/C][/ROW]
[ROW][C]232[/C][C]26.4379[/C][C]23.876487717246[/C][C]2.56141228275401[/C][/ROW]
[ROW][C]233[/C][C]25.4408[/C][C]23.346690747549[/C][C]2.09410925245098[/C][/ROW]
[ROW][C]234[/C][C]24.6681[/C][C]23.2068089293672[/C][C]1.4612910706328[/C][/ROW]
[ROW][C]235[/C][C]24.0994[/C][C]23.3514755960339[/C][C]0.747924403966132[/C][/ROW]
[ROW][C]236[/C][C]24.6043[/C][C]24.1713604445187[/C][C]0.432939555481282[/C][/ROW]
[ROW][C]237[/C][C]27.2492[/C][C]25.8331574142157[/C][C]1.41604258578431[/C][/ROW]
[ROW][C]238[/C][C]29.5511[/C][C]27.6325028687611[/C][C]1.91859713123886[/C][/ROW]
[ROW][C]239[/C][C]29.8522[/C][C]28.9377725657308[/C][C]0.914427434269161[/C][/ROW]
[ROW][C]240[/C][C]31.6989[/C][C]28.7238816566399[/C][C]2.97501834336007[/C][/ROW]
[ROW][C]241[/C][C]29.6357[/C][C]27.8719624108734[/C][C]1.76373758912656[/C][/ROW]
[ROW][C]242[/C][C]30.5197[/C][C]27.3939411987522[/C][C]3.12575880124777[/C][/ROW]
[ROW][C]243[/C][C]32.7823[/C][C]25.8700836229947[/C][C]6.91221637700534[/C][/ROW]
[ROW][C]244[/C][C]24.9942[/C][C]24.5312927139037[/C][C]0.462907286096255[/C][/ROW]
[ROW][C]245[/C][C]23.5187[/C][C]24.0014957442068[/C][C]-0.482795744206774[/C][/ROW]
[ROW][C]246[/C][C]24.0249[/C][C]23.861613926025[/C][C]0.163286073975045[/C][/ROW]
[ROW][C]247[/C][C]24.5692[/C][C]24.0062805926916[/C][C]0.562919407308377[/C][/ROW]
[ROW][C]248[/C][C]24.402[/C][C]24.8261654411765[/C][C]-0.42416544117647[/C][/ROW]
[ROW][C]249[/C][C]26.7089[/C][C]26.4879624108734[/C][C]0.220937589126561[/C][/ROW]
[ROW][C]250[/C][C]31.6874[/C][C]28.2873078654189[/C][C]3.40009213458111[/C][/ROW]
[ROW][C]251[/C][C]32.8801[/C][C]29.5925775623886[/C][C]3.28752243761141[/C][/ROW]
[ROW][C]252[/C][C]32.7906[/C][C]29.3786866532977[/C][C]3.41191334670232[/C][/ROW]
[ROW][C]253[/C][C]30.8785[/C][C]28.5267674075312[/C][C]2.35173259246881[/C][/ROW]
[ROW][C]254[/C][C]30.3024[/C][C]28.04874619541[/C][C]2.25365380459002[/C][/ROW]
[ROW][C]255[/C][C]28.3679[/C][C]26.5248886196524[/C][C]1.84301138034759[/C][/ROW]
[ROW][C]256[/C][C]25.6578[/C][C]25.1860977105615[/C][C]0.471702289438504[/C][/ROW]
[ROW][C]257[/C][C]25.1598[/C][C]24.6563007408645[/C][C]0.503499259135475[/C][/ROW]
[ROW][C]258[/C][C]24.6143[/C][C]24.5164189226827[/C][C]0.0978810773172933[/C][/ROW]
[ROW][C]259[/C][C]24.528[/C][C]24.6610855893494[/C][C]-0.133085589349376[/C][/ROW]
[ROW][C]260[/C][C]25.2905[/C][C]25.4809704378342[/C][C]-0.190470437834223[/C][/ROW]
[ROW][C]261[/C][C]30.0016[/C][C]27.1427674075312[/C][C]2.85883259246881[/C][/ROW]
[ROW][C]262[/C][C]34.2728[/C][C]28.9421128620766[/C][C]5.33068713792335[/C][/ROW]
[ROW][C]263[/C][C]34.4408[/C][C]30.2473825590463[/C][C]4.19341744095366[/C][/ROW]
[ROW][C]264[/C][C]34.1907[/C][C]30.0334916499554[/C][C]4.15720835004456[/C][/ROW]
[ROW][C]265[/C][C]33.6636[/C][C]29.1815724041889[/C][C]4.48202759581105[/C][/ROW]
[ROW][C]266[/C][C]33.9073[/C][C]28.7035511920677[/C][C]5.20374880793226[/C][/ROW]
[ROW][C]267[/C][C]30.2175[/C][C]27.1796936163102[/C][C]3.03780638368984[/C][/ROW]
[ROW][C]268[/C][C]28.5274[/C][C]25.8409027072193[/C][C]2.68649729278075[/C][/ROW]
[ROW][C]269[/C][C]25.9505[/C][C]25.3111057375223[/C][C]0.639394262477721[/C][/ROW]
[ROW][C]270[/C][C]26.2398[/C][C]25.1712239193405[/C][C]1.06857608065954[/C][/ROW]
[ROW][C]271[/C][C]26.2819[/C][C]25.3158905860071[/C][C]0.966009413992872[/C][/ROW]
[ROW][C]272[/C][C]26.7362[/C][C]26.135775434492[/C][C]0.600424565508022[/C][/ROW]
[ROW][C]273[/C][C]28.8395[/C][C]27.7975724041889[/C][C]1.04192759581105[/C][/ROW]
[ROW][C]274[/C][C]31.0951[/C][C]29.5969178587344[/C][C]1.4981821412656[/C][/ROW]
[ROW][C]275[/C][C]33.7015[/C][C]30.9021875557041[/C][C]2.7993124442959[/C][/ROW]
[ROW][C]276[/C][C]33.8091[/C][C]30.6882966466132[/C][C]3.12080335338681[/C][/ROW]
[ROW][C]277[/C][C]32.1126[/C][C]29.8363774008467[/C][C]2.2762225991533[/C][/ROW]
[ROW][C]278[/C][C]32[/C][C]29.3583561887255[/C][C]2.64164381127451[/C][/ROW]
[ROW][C]279[/C][C]29.122[/C][C]27.8344986129679[/C][C]1.28750138703209[/C][/ROW]
[ROW][C]280[/C][C]26.8124[/C][C]26.495707703877[/C][C]0.316692296122998[/C][/ROW]
[ROW][C]281[/C][C]25.4654[/C][C]25.96591073418[/C][C]-0.500510734180035[/C][/ROW]
[ROW][C]282[/C][C]23.8331[/C][C]25.8260289159982[/C][C]-1.99292891599821[/C][/ROW]
[ROW][C]283[/C][C]24.714[/C][C]25.9706955826649[/C][C]-1.25669558266488[/C][/ROW]
[ROW][C]284[/C][C]28.3288[/C][C]26.7905804311497[/C][C]1.53821956885027[/C][/ROW]
[ROW][C]285[/C][C]29.6391[/C][C]28.4523774008467[/C][C]1.1867225991533[/C][/ROW]
[ROW][C]286[/C][C]32.4542[/C][C]30.2517228553922[/C][C]2.20247714460785[/C][/ROW]
[ROW][C]287[/C][C]33.5657[/C][C]31.5569925523619[/C][C]2.00870744763815[/C][/ROW]
[ROW][C]288[/C][C]33.1856[/C][C]31.3431016432709[/C][C]1.84249835672906[/C][/ROW]
[ROW][C]289[/C][C]33.297[/C][C]30.4911823975045[/C][C]2.80581760249554[/C][/ROW]
[ROW][C]290[/C][C]33.51[/C][C]30.0131611853832[/C][C]3.49683881461676[/C][/ROW]
[ROW][C]291[/C][C]31.3789[/C][C]28.4893036096257[/C][C]2.88959639037434[/C][/ROW]
[ROW][C]292[/C][C]29.4555[/C][C]27.1505127005348[/C][C]2.30498729946524[/C][/ROW]
[ROW][C]293[/C][C]27.2699[/C][C]26.6207157308378[/C][C]0.649184269162212[/C][/ROW]
[ROW][C]294[/C][C]27.2586[/C][C]26.480833912656[/C][C]0.777766087344031[/C][/ROW]
[ROW][C]295[/C][C]27.8591[/C][C]26.6255005793226[/C][C]1.23359942067737[/C][/ROW]
[ROW][C]296[/C][C]29.6362[/C][C]27.4453854278075[/C][C]2.19081457219251[/C][/ROW]
[ROW][C]297[/C][C]30.9587[/C][C]29.1071823975045[/C][C]1.85151760249555[/C][/ROW]
[ROW][C]298[/C][C]31.8633[/C][C]30.9065278520499[/C][C]0.956772147950088[/C][/ROW]
[ROW][C]299[/C][C]33.8188[/C][C]32.2117975490196[/C][C]1.6070024509804[/C][/ROW]
[ROW][C]300[/C][C]33.7531[/C][C]31.9979066399287[/C][C]1.75519336007131[/C][/ROW]
[ROW][C]301[/C][C]33.6103[/C][C]31.1459873941622[/C][C]2.46431260583779[/C][/ROW]
[ROW][C]302[/C][C]32.9052[/C][C]30.667966182041[/C][C]2.237233817959[/C][/ROW]
[ROW][C]303[/C][C]29.5005[/C][C]29.1441086062834[/C][C]0.356391393716578[/C][/ROW]
[ROW][C]304[/C][C]27.3634[/C][C]27.8053176971925[/C][C]-0.441917697192512[/C][/ROW]
[ROW][C]305[/C][C]27.2298[/C][C]27.2755207274955[/C][C]-0.0457207274955415[/C][/ROW]
[ROW][C]306[/C][C]26.5211[/C][C]27.1356389093137[/C][C]-0.614538909313724[/C][/ROW]
[ROW][C]307[/C][C]26.5228[/C][C]27.2803055759804[/C][C]-0.757505575980389[/C][/ROW]
[ROW][C]308[/C][C]27.2991[/C][C]28.1001904244652[/C][C]-0.801090424465242[/C][/ROW]
[ROW][C]309[/C][C]29.1726[/C][C]29.7619873941622[/C][C]-0.589387394162209[/C][/ROW]
[ROW][C]310[/C][C]30.297[/C][C]31.5613328487077[/C][C]-1.26433284870766[/C][/ROW]
[ROW][C]311[/C][C]32.5287[/C][C]32.8666025456774[/C][C]-0.337902545677359[/C][/ROW]
[ROW][C]312[/C][C]32.487[/C][C]32.6527116365865[/C][C]-0.165711636586448[/C][/ROW]
[ROW][C]313[/C][C]32.4197[/C][C]31.80079239082[/C][C]0.618907609180034[/C][/ROW]
[ROW][C]314[/C][C]30.854[/C][C]31.3227711786988[/C][C]-0.468771178698751[/C][/ROW]
[ROW][C]315[/C][C]28.6995[/C][C]29.7989136029412[/C][C]-1.09941360294117[/C][/ROW]
[ROW][C]316[/C][C]27.7881[/C][C]28.4601226938503[/C][C]-0.672022693850265[/C][/ROW]
[ROW][C]317[/C][C]26.5609[/C][C]27.9303257241533[/C][C]-1.3694257241533[/C][/ROW]
[ROW][C]318[/C][C]25.9431[/C][C]27.7904439059715[/C][C]-1.84734390597148[/C][/ROW]
[ROW][C]319[/C][C]25.5578[/C][C]27.9351105726381[/C][C]-2.37731057263815[/C][/ROW]
[ROW][C]320[/C][C]27.1275[/C][C]28.754995421123[/C][C]-1.62749542112299[/C][/ROW]
[ROW][C]321[/C][C]30.2556[/C][C]30.41679239082[/C][C]-0.161192390819963[/C][/ROW]
[ROW][C]322[/C][C]34.0976[/C][C]32.2161378453654[/C][C]1.88146215463458[/C][/ROW]
[ROW][C]323[/C][C]34.5614[/C][C]33.5214075423351[/C][C]1.03999245766488[/C][/ROW]
[ROW][C]324[/C][C]34.2948[/C][C]33.3075166332442[/C][C]0.987283366755796[/C][/ROW]
[ROW][C]325[/C][C]33.3418[/C][C]32.4555973874777[/C][C]0.88620261252228[/C][/ROW]
[ROW][C]326[/C][C]31.8187[/C][C]31.9775761753565[/C][C]-0.158876175356506[/C][/ROW]
[ROW][C]327[/C][C]29.0818[/C][C]30.4537185995989[/C][C]-1.37191859959893[/C][/ROW]
[ROW][C]328[/C][C]27.3444[/C][C]29.114927690508[/C][C]-1.77052769050802[/C][/ROW]
[ROW][C]329[/C][C]26.6233[/C][C]28.5851307208111[/C][C]-1.96183072081105[/C][/ROW]
[ROW][C]330[/C][C]26.1869[/C][C]28.4452489026292[/C][C]-2.25834890262924[/C][/ROW]
[ROW][C]331[/C][C]26.2953[/C][C]28.5899155692959[/C][C]-2.2946155692959[/C][/ROW]
[ROW][C]332[/C][C]28.7043[/C][C]29.4098004177808[/C][C]-0.705500417780751[/C][/ROW]
[ROW][C]333[/C][C]32.0653[/C][C]31.0715973874777[/C][C]0.993702612522283[/C][/ROW]
[ROW][C]334[/C][C]34.5401[/C][C]32.8709428420232[/C][C]1.66915715797683[/C][/ROW]
[ROW][C]335[/C][C]34.6636[/C][C]34.1762125389929[/C][C]0.487387461007134[/C][/ROW]
[ROW][C]336[/C][C]34.2557[/C][C]33.962321629902[/C][C]0.293378370098038[/C][/ROW]
[ROW][C]337[/C][C]32.0526[/C][C]33.1104023841355[/C][C]-1.05780238413547[/C][/ROW]
[ROW][C]338[/C][C]30.6892[/C][C]32.6323811720143[/C][C]-1.94318117201426[/C][/ROW]
[ROW][C]339[/C][C]28.012[/C][C]31.1085235962567[/C][C]-3.09652359625668[/C][/ROW]
[ROW][C]340[/C][C]26.1528[/C][C]29.7697326871658[/C][C]-3.61693268716578[/C][/ROW]
[ROW][C]341[/C][C]23.2276[/C][C]29.2399357174688[/C][C]-6.01233571746881[/C][/ROW]
[ROW][C]342[/C][C]24.244[/C][C]29.100053899287[/C][C]-4.85605389928699[/C][/ROW]
[ROW][C]343[/C][C]24.8141[/C][C]29.2447205659537[/C][C]-4.43062056595365[/C][/ROW]
[ROW][C]344[/C][C]27.8632[/C][C]30.0646054144385[/C][C]-2.20140541443851[/C][/ROW]
[ROW][C]345[/C][C]29.6233[/C][C]31.7264023841355[/C][C]-2.10310238413547[/C][/ROW]
[ROW][C]346[/C][C]32.4245[/C][C]33.5257478386809[/C][C]-1.10124783868092[/C][/ROW]
[ROW][C]347[/C][C]33.3417[/C][C]34.8310175356506[/C][C]-1.48931753565062[/C][/ROW]
[ROW][C]348[/C][C]33.0442[/C][C]34.6171266265597[/C][C]-1.57292662655972[/C][/ROW]
[ROW][C]349[/C][C]32.0526[/C][C]33.7652073807932[/C][C]-1.71260738079323[/C][/ROW]
[ROW][C]350[/C][C]30.2182[/C][C]33.287186168672[/C][C]-3.06898616867202[/C][/ROW]
[ROW][C]351[/C][C]28.9292[/C][C]31.7633285929144[/C][C]-2.83412859291444[/C][/ROW]
[ROW][C]352[/C][C]26.8221[/C][C]30.4245376838235[/C][C]-3.60243768382353[/C][/ROW]
[ROW][C]353[/C][C]26.1032[/C][C]29.8947407141266[/C][C]-3.79154071412656[/C][/ROW]
[ROW][C]354[/C][C]25.9792[/C][C]29.7548588959447[/C][C]-3.77565889594475[/C][/ROW]
[ROW][C]355[/C][C]27.1443[/C][C]29.8995255626114[/C][C]-2.75522556261141[/C][/ROW]
[ROW][C]356[/C][C]29.4993[/C][C]30.7194104110963[/C][C]-1.22011041109625[/C][/ROW]
[ROW][C]357[/C][C]31.656[/C][C]32.3812073807932[/C][C]-0.725207380793228[/C][/ROW]
[ROW][C]358[/C][C]33.3665[/C][C]34.1805528353387[/C][C]-0.81405283533868[/C][/ROW]
[ROW][C]359[/C][C]35.0521[/C][C]35.4858225323084[/C][C]-0.433722532308374[/C][/ROW]
[ROW][C]360[/C][C]34.4076[/C][C]35.2719316232175[/C][C]-0.864331623217465[/C][/ROW]
[ROW][C]361[/C][C]33.069[/C][C]34.420012377451[/C][C]-1.35101237745098[/C][/ROW]
[ROW][C]362[/C][C]31.5816[/C][C]33.9419911653298[/C][C]-2.36039116532977[/C][/ROW]
[ROW][C]363[/C][C]30.0695[/C][C]32.4181335895722[/C][C]-2.34863358957219[/C][/ROW]
[ROW][C]364[/C][C]29.0035[/C][C]31.0793426804813[/C][C]-2.07584268048128[/C][/ROW]
[ROW][C]365[/C][C]28.6813[/C][C]30.5495457107843[/C][C]-1.86824571078432[/C][/ROW]
[ROW][C]366[/C][C]28.359[/C][C]30.4096638926025[/C][C]-2.05066389260249[/C][/ROW]
[ROW][C]367[/C][C]30.0447[/C][C]30.5543305592692[/C][C]-0.509630559269167[/C][/ROW]
[ROW][C]368[/C][C]31.5073[/C][C]31.374215407754[/C][C]0.133084592245991[/C][/ROW]
[ROW][C]369[/C][C]34.16[/C][C]33.036012377451[/C][C]1.12398762254902[/C][/ROW]
[ROW][C]370[/C][C]35.57[/C][C]34.8353578319964[/C][C]0.734642168003564[/C][/ROW]
[ROW][C]371[/C][C]36.42[/C][C]36.1406275289661[/C][C]0.279372471033872[/C][/ROW]
[ROW][C]372[/C][C]35.12[/C][C]35.9267366198752[/C][C]-0.806736619875223[/C][/ROW]
[ROW][C]373[/C][C]33.14[/C][C]35.0748173741087[/C][C]-1.93481737410874[/C][/ROW]
[ROW][C]374[/C][C]30.29[/C][C]34.5967961619875[/C][C]-4.30679616198752[/C][/ROW]
[ROW][C]375[/C][C]28.2[/C][C]33.07293858623[/C][C]-4.87293858622995[/C][/ROW]
[ROW][C]376[/C][C]26.5[/C][C]31.734147677139[/C][C]-5.23414767713904[/C][/ROW]
[ROW][C]377[/C][C]25.47[/C][C]31.2043507074421[/C][C]-5.73435070744207[/C][/ROW]
[ROW][C]378[/C][C]24.96[/C][C]31.0644688892603[/C][C]-6.10446888926025[/C][/ROW]
[ROW][C]379[/C][C]25.6[/C][C]31.2091355559269[/C][C]-5.60913555592692[/C][/ROW]
[ROW][C]380[/C][C]27.76[/C][C]32.0290204044118[/C][C]-4.26902040441176[/C][/ROW]
[ROW][C]381[/C][C]30.13[/C][C]33.6908173741087[/C][C]-3.56081737410874[/C][/ROW]
[ROW][C]382[/C][C]32.35[/C][C]35.4901628286542[/C][C]-3.14016282865419[/C][/ROW]
[ROW][C]383[/C][C]32.8[/C][C]36.7954325256239[/C][C]-3.99543252562389[/C][/ROW]
[ROW][C]384[/C][C]32.54[/C][C]36.581541616533[/C][C]-4.04154161653298[/C][/ROW]
[ROW][C]385[/C][C]29.78[/C][C]35.7296223707665[/C][C]-5.94962237076649[/C][/ROW]
[ROW][C]386[/C][C]28.79[/C][C]35.2516011586453[/C][C]-6.46160115864528[/C][/ROW]
[ROW][C]387[/C][C]26.8[/C][C]33.7277435828877[/C][C]-6.9277435828877[/C][/ROW]
[ROW][C]388[/C][C]25.41[/C][C]32.3889526737968[/C][C]-6.97895267379679[/C][/ROW]
[ROW][C]389[/C][C]24.34[/C][C]31.8591557040998[/C][C]-7.51915570409982[/C][/ROW]
[ROW][C]390[/C][C]24.39[/C][C]31.719273885918[/C][C]-7.329273885918[/C][/ROW]
[ROW][C]391[/C][C]25[/C][C]31.8639405525847[/C][C]-6.86394055258467[/C][/ROW]
[ROW][C]392[/C][C]26.27[/C][C]32.6838254010695[/C][C]-6.41382540106952[/C][/ROW]
[ROW][C]393[/C][C]27.88[/C][C]34.3456223707665[/C][C]-6.46562237076649[/C][/ROW]
[ROW][C]394[/C][C]29.35[/C][C]36.1449678253119[/C][C]-6.79496782531194[/C][/ROW]
[ROW][C]395[/C][C]29.83[/C][C]37.4502375222816[/C][C]-7.62023752228164[/C][/ROW]
[ROW][C]396[/C][C]29.46[/C][C]37.2363466131907[/C][C]-7.77634661319073[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203059&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203059&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
18.963414.7758624777183-5.81246247771833
28.952214.2978412655971-5.34564126559715
38.868212.7739836898396-3.90578368983958
48.733111.4351927807487-2.70209278074866
58.318810.9053958110517-2.58659581105169
68.346210.7655139928699-2.41931399286988
78.308710.9101806595365-2.60148065953654
88.383611.7300655080214-3.34646550802139
98.841213.3918624777184-4.55066247771836
109.500115.1912079322638-5.69110793226382
1110.188316.4964776292335-6.30817762923352
1210.293116.2825867201426-5.9894867201426
1310.194515.4306674743761-5.23616747437611
1410.301414.9526462622549-4.6512462622549
1510.067513.4287886864973-3.36128868649733
169.671512.0899977774064-2.41849777740642
179.501911.5602008077094-2.05830080770945
189.459711.4203189895276-1.96061898952763
199.436211.5649856561943-2.1287856561943
209.591912.3848705046791-2.79297050467914
2110.016714.0466674743761-4.02996747437612
2210.32215.8460129289216-5.52401292892157
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38924.3431.8591557040998-7.51915570409982
39024.3931.719273885918-7.329273885918
3912531.8639405525847-6.86394055258467
39226.2732.6838254010695-6.41382540106952
39327.8834.3456223707665-6.46562237076649
39429.3536.1449678253119-6.79496782531194
39529.8337.4502375222816-7.62023752228164
39629.4637.2363466131907-7.77634661319073






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.0001123081395406410.0002246162790812830.999887691860459
173.9718282573689e-067.9436565147378e-060.999996028171743
181.40779331323821e-072.81558662647642e-070.999999859220669
194.45051778830979e-098.90103557661959e-090.999999995549482
201.35389122901162e-102.70778245802324e-100.999999999864611
213.73567767697685e-127.47135535395371e-120.999999999996264
222.96861477233514e-125.93722954467029e-120.999999999997031
231.91582054049889e-133.83164108099778e-130.999999999999808
241.07815442600333e-142.15630885200666e-140.999999999999989
255.24926430504169e-161.04985286100834e-150.999999999999999
261.22086619071408e-162.44173238142815e-161
274.37788695505992e-178.75577391011984e-171
281.09076125069699e-162.18152250139398e-161
296.46345784662409e-181.29269156932482e-171
304.68157548142994e-199.36315096285988e-191
312.66299796310929e-205.32599592621857e-201
326.01400025491009e-211.20280005098202e-201
339.21988750179663e-221.84397750035933e-211
346.66867648635827e-231.33373529727165e-221
356.05859010389347e-241.21171802077869e-231
361.00018812086312e-232.00037624172624e-231
374.46800910540943e-248.93601821081885e-241
384.5179102494864e-259.0358204989728e-251
391.44881481977027e-252.89762963954054e-251
401.09293664982163e-262.18587329964326e-261
411.084682195521e-272.169364391042e-271
421.65741422021353e-283.31482844042707e-281
432.44329183804013e-294.88658367608025e-291
441.93189054515156e-303.86378109030313e-301
452.41141386552598e-314.82282773105196e-311
461.22590363722849e-292.45180727445699e-291
479.52296967990819e-281.90459393598164e-271
487.97862124067073e-271.59572424813415e-261
493.78834009309972e-277.57668018619943e-271
501.39137984559759e-272.78275969119517e-271
514.24634709886184e-278.49269419772368e-271
524.54987365499321e-279.09974730998643e-271
531.10112142296804e-272.20224284593608e-271
541.95388680609582e-283.90777361219165e-281
553.28958351923392e-296.57916703846784e-291
565.27826024929104e-301.05565204985821e-291
571.38593215738203e-302.77186431476405e-301
588.46146665130635e-311.69229333026127e-301
598.76946741186815e-311.75389348237363e-301
605.77992096581505e-311.15598419316301e-301
613.04957186030895e-306.0991437206179e-301
621.81019948184092e-293.62039896368183e-291
631.77538972636352e-293.55077945272705e-291
641.52094959721789e-293.04189919443579e-291
651.32703562039428e-292.65407124078855e-291
666.02014235154859e-301.20402847030972e-291
671.63113584070522e-303.26227168141045e-301
682.21653431391724e-304.43306862783448e-301
695.01574569106198e-291.0031491382124e-281
702.86718335390766e-275.73436670781532e-271
711.70875508208778e-243.41751016417557e-241
728.80695505498447e-231.76139101099689e-221
732.80619980044442e-225.61239960088885e-221
742.47397536341446e-224.94795072682892e-221
757.95274735979367e-231.59054947195873e-221
762.42277587868754e-234.84555175737507e-231
771.21523873693825e-232.43047747387651e-231
785.25610363216636e-241.05122072643327e-231
791.54878636816674e-243.09757273633348e-241
805.41565376428399e-251.0831307528568e-241
812.30592491414802e-254.61184982829604e-251
821.60730856687086e-253.21461713374172e-251
831.53824009469052e-253.07648018938103e-251
841.15221464647251e-252.30442929294501e-251
855.56936009468782e-261.11387201893756e-251
863.26496031654283e-266.52992063308566e-261
879.88120054875662e-271.97624010975132e-261
883.55566071808753e-277.11132143617507e-271
891.44823385781613e-272.89646771563227e-271
904.60682602962961e-289.21365205925923e-281
911.57226273829323e-283.14452547658645e-281
927.09546334645908e-291.41909266929182e-281
932.52720287263699e-295.05440574527398e-291
949.44013310985555e-301.88802662197111e-291
954.28126148360831e-308.56252296721662e-301
961.94688437767868e-303.89376875535735e-301
976.99154638454904e-311.39830927690981e-301
982.17181725886746e-314.34363451773491e-311
991.2443330638278e-312.4886661276556e-311
1001.88358862530871e-303.76717725061741e-301
1011.30952946823155e-292.61905893646311e-291
1029.66329928054496e-291.93265985610899e-281
1035.21239278746204e-281.04247855749241e-271
1042.24888771975548e-274.49777543951097e-271
1055.06876752816756e-271.01375350563351e-261
1065.27270507279992e-271.05454101455998e-261
1073.54089621186159e-277.08179242372317e-271
1085.76522204424535e-271.15304440884907e-261
1091.03803406334808e-262.07606812669616e-261
1104.56905050861695e-269.1381010172339e-261
1114.23720300551471e-258.47440601102942e-251
1121.28098073925501e-232.56196147851001e-231
1131.20603530716541e-222.41207061433081e-221
1143.18770610576313e-226.37541221152627e-221
1154.67984313080109e-229.35968626160217e-221
1161.43349571038274e-212.86699142076549e-211
1174.88093895081311e-219.76187790162621e-211
1181.20464579781155e-202.4092915956231e-201
1192.82057063523931e-205.64114127047862e-201
1201.12688791523643e-192.25377583047285e-191
1216.38901085069769e-191.27780217013954e-181
1224.47704835249968e-188.95409670499935e-181
1236.45407108747148e-171.2908142174943e-161
1248.74255181158401e-171.7485103623168e-161
1258.32800194729515e-171.66560038945903e-161
1269.29719828391817e-171.85943965678363e-161
1279.37290969051479e-171.87458193810296e-161
1281.6239244909899e-163.24784898197981e-161
1291.8228224215089e-163.64564484301781e-161
1301.46087195314096e-162.92174390628192e-161
1311.45726058037315e-162.91452116074631e-161
1321.99156744171676e-163.98313488343352e-161
1332.48956777232331e-164.97913554464662e-161
1345.71609871699926e-161.14321974339985e-150.999999999999999
1359.67300081744729e-151.93460016348946e-140.99999999999999
1365.35114380062283e-141.07022876012457e-130.999999999999946
1372.24977321703278e-134.49954643406557e-130.999999999999775
1381.92279084747172e-133.84558169494344e-130.999999999999808
1391.14536909385955e-132.2907381877191e-130.999999999999885
1407.72858943731031e-141.54571788746206e-130.999999999999923
1416.00064354687612e-141.20012870937522e-130.99999999999994
1425.66030686360563e-141.13206137272113e-130.999999999999943
1436.16285114344958e-141.23257022868992e-130.999999999999938
1446.52993069324224e-141.30598613864845e-130.999999999999935
1455.97055025615854e-141.19411005123171e-130.99999999999994
1464.86010704932717e-149.72021409865433e-140.999999999999951
1473.7548346616545e-147.50966932330901e-140.999999999999962
1483.11506939503664e-146.23013879007329e-140.999999999999969
1492.09216156228307e-144.18432312456615e-140.999999999999979
1501.67012429548842e-143.34024859097685e-140.999999999999983
1511.35886066254399e-142.71772132508798e-140.999999999999986
1521.04737620950415e-142.09475241900831e-140.99999999999999
1531.091283087361e-142.18256617472199e-140.999999999999989
1541.1626969992463e-142.32539399849261e-140.999999999999988
1551.30627873756032e-142.61255747512064e-140.999999999999987
1561.53242972853457e-143.06485945706914e-140.999999999999985
1573.097486737956e-146.19497347591199e-140.999999999999969
1585.19092938366838e-141.03818587673368e-130.999999999999948
1594.17075311991128e-148.34150623982255e-140.999999999999958
1601.08717992560404e-132.17435985120807e-130.999999999999891
1619.24825599089237e-141.84965119817847e-130.999999999999908
1627.90004320359982e-141.58000864071996e-130.999999999999921
1637.61082642783998e-141.522165285568e-130.999999999999924
1649.73256512570045e-141.94651302514009e-130.999999999999903
1651.4829965778255e-132.96599315565099e-130.999999999999852
1662.08754986184207e-134.17509972368414e-130.999999999999791
1673.28509757281531e-136.57019514563061e-130.999999999999671
1685.16643326278392e-131.03328665255678e-120.999999999999483
1696.69092383019764e-131.33818476603953e-120.999999999999331
1707.80138098960848e-131.5602761979217e-120.99999999999922
1712.58170302968513e-125.16340605937026e-120.999999999997418
1724.64587097375975e-129.29174194751949e-120.999999999995354
1734.01448460643984e-128.02896921287968e-120.999999999995986
1744.6820471996658e-129.3640943993316e-120.999999999995318
1756.34369820285834e-121.26873964057167e-110.999999999993656
1768.97313520639762e-121.79462704127952e-110.999999999991027
1773.20117051896722e-116.40234103793445e-110.999999999967988
1781.26628469584834e-102.53256939169668e-100.999999999873372
1791.87827674406639e-103.75655348813278e-100.999999999812172
1803.0093349213711e-106.01866984274221e-100.999999999699066
1814.40308949579865e-108.80617899159731e-100.999999999559691
1824.55606072753072e-109.11212145506144e-100.999999999544394
1834.37944279477985e-108.7588855895597e-100.999999999562056
1845.02569717240619e-101.00513943448124e-090.99999999949743
1854.97971489332934e-109.95942978665867e-100.999999999502029
1864.7807631313665e-109.56152626273301e-100.999999999521924
1877.46682211771842e-101.49336442354368e-090.999999999253318
1889.90441863300615e-101.98088372660123e-090.999999999009558
1891.11980679649204e-092.23961359298407e-090.999999998880193
1901.44997721157066e-092.89995442314132e-090.999999998550023
1911.9582438880561e-093.91648777611221e-090.999999998041756
1923.27846726050602e-096.55693452101203e-090.999999996721533
1933.74065732788985e-097.4813146557797e-090.999999996259343
1943.62230527490511e-097.24461054981021e-090.999999996377695
1953.46863053116909e-096.93726106233819e-090.99999999653137
1964.65447973242374e-099.30895946484749e-090.99999999534552
1974.29450985609474e-098.58901971218947e-090.99999999570549
1985.7317204606768e-091.14634409213536e-080.99999999426828
1999.35329840657193e-091.87065968131439e-080.999999990646702
2002.05741080285455e-084.11482160570909e-080.999999979425892
2013.11374864922729e-086.22749729845459e-080.999999968862514
2023.66940569925959e-087.33881139851919e-080.999999963305943
2034.54246443226533e-089.08492886453066e-080.999999954575356
2045.99437379189498e-081.198874758379e-070.999999940056262
2051.0034830004413e-072.0069660008826e-070.9999998996517
2061.25801093445173e-072.51602186890346e-070.999999874198907
2071.64278562993783e-073.28557125987567e-070.999999835721437
2081.58445200395751e-073.16890400791502e-070.9999998415548
2091.35476765171705e-072.7095353034341e-070.999999864523235
2101.42888974062416e-072.85777948124831e-070.999999857111026
2111.30298907796078e-072.60597815592157e-070.999999869701092
2121.13255081430664e-072.26510162861328e-070.999999886744919
2139.48432318849111e-081.89686463769822e-070.999999905156768
2143.09908203884409e-076.19816407768817e-070.999999690091796
2156.58345434224698e-071.3166908684494e-060.999999341654566
2161.04748739900683e-062.09497479801366e-060.999998952512601
2171.19237985089407e-062.38475970178813e-060.999998807620149
2181.46219104664858e-062.92438209329716e-060.999998537808953
2191.08171267694382e-062.16342535388765e-060.999998918287323
2201.1700057500926e-062.34001150018521e-060.99999882999425
2211.1143912354418e-062.22878247088359e-060.999998885608765
2221.22495494946686e-062.44990989893373e-060.999998775045051
2231.08454940486789e-062.16909880973578e-060.999998915450595
2247.75484204228364e-071.55096840845673e-060.999999224515796
2251.39006311166178e-062.78012622332356e-060.999998609936888
2262.88221981689858e-065.76443963379715e-060.999997117780183
2278.3621416331067e-061.67242832662134e-050.999991637858367
2282.37698587096549e-054.75397174193097e-050.99997623014129
2291.82166106103699e-053.64332212207399e-050.99998178338939
2301.31823999968628e-052.63647999937255e-050.999986817600003
2311.07533062686594e-052.15066125373188e-050.999989246693731
2321.4773546099596e-052.9547092199192e-050.9999852264539
2333.29174959056859e-056.58349918113718e-050.999967082504094
2340.0001043804262739430.0002087608525478860.999895619573726
2350.0004298060122919020.0008596120245838030.999570193987708
2360.001629310791074320.003258621582148640.998370689208926
2370.00277842084594890.00555684169189780.997221579154051
2380.003876431245368090.007752862490736170.996123568754632
2390.009057106236427350.01811421247285470.990942893763573
2400.008533148307658260.01706629661531650.991466851692342
2410.0121573510536780.02431470210735610.987842648946322
2420.01082327599457750.02164655198915510.989176724005422
2430.02183931907865740.04367863815731470.978160680921343
2440.04660218787120790.09320437574241590.953397812128792
2450.1287768877547530.2575537755095060.871223112245247
2460.2182583741587340.4365167483174680.781741625841266
2470.2977121013050550.595424202610110.702287898694945
2480.4831583222909160.9663166445818330.516841677709084
2490.6350963960367970.7298072079264060.364903603963203
2500.6168658468181190.7662683063637630.383134153181881
2510.5976550975529110.8046898048941780.402344902447089
2520.5742561650993960.8514876698012080.425743834900604
2530.5854613965038010.8290772069923970.414538603496199
2540.5891373066572090.8217253866855810.410862693342791
2550.6004086154171090.7991827691657810.399591384582891
2560.6806913973498430.6386172053003130.319308602650157
2570.7428015675725420.5143968648549160.257198432427458
2580.8120546606559520.3758906786880960.187945339344048
2590.8770342783263690.2459314433472620.122965721673631
2600.9367593175909220.1264813648181570.0632406824090784
2610.9304971686283820.1390056627432350.0695028313716177
2620.9273791936019620.1452416127960760.0726208063980381
2630.916106499070990.167787001858020.0838935009290098
2640.9036304873566740.1927390252866520.096369512643326
2650.8918049870784590.2163900258430820.108195012921541
2660.8976526083766520.2046947832466950.102347391623348
2670.8890343737800720.2219312524398560.110965626219928
2680.8832837926717740.2334324146564510.116716207328226
2690.9003748622216120.1992502755567760.0996251377783879
2700.9090736576441630.1818526847116740.0909263423558371
2710.916200838050880.1675983238982390.0837991619491196
2720.9336161398930490.1327677202139020.0663838601069508
2730.9450999354465720.1098001291068560.0549000645534278
2740.9513429540154590.09731409196908270.0486570459845414
2750.9442323831708660.1115352336582680.055767616829134
2760.9349162472935320.1301675054129350.0650837527064676
2770.9294402082379640.1411195835240730.0705597917620364
2780.9202655275256590.1594689449486810.0797344724743406
2790.9196007419119170.1607985161761670.0803992580880834
2800.9303338741483270.1393322517033450.0696661258516727
2810.9485942229203110.1028115541593770.0514057770796887
2820.9790853380129150.04182932397416990.020914661987085
2830.9896573464404310.02068530711913790.010342653559569
2840.988774900725440.02245019854912040.0112250992745602
2850.9897366245688710.02052675086225760.0102633754311288
2860.9883860233322990.02322795333540240.0116139766677012
2870.9869550320685720.02608993586285580.0130449679314279
2880.9855520648347890.02889587033042240.0144479351652112
2890.9822228684946540.03555426301069180.0177771315053459
2900.9815502129818120.03689957403637620.0184497870181881
2910.9818689852221030.03626202955579320.0181310147778966
2920.9818190337109160.03636193257816910.0181809662890845
2930.9819506907924570.03609861841508650.0180493092075433
2940.981977880399180.03604423920164010.0180221196008201
2950.9809593110347770.0380813779304460.019040688965223
2960.9778932586323220.04421348273535550.0221067413676778
2970.9739490055582350.05210198888352950.0260509944417647
2980.9742238992032160.05155220159356730.0257761007967836
2990.9703358837954440.05932823240911130.0296641162045557
3000.9652879716505440.06942405669891190.0347120283494559
3010.9592833463673110.0814333072653770.0407166536326885
3020.9582856785362120.08342864292757560.0417143214637878
3030.9569430879847150.08611382403057070.0430569120152854
3040.958448790595080.0831024188098390.0415512094049195
3050.9596886786026540.08062264279469240.0403113213973462
3060.9615624203757520.07687515924849540.0384375796242477
3070.9631188831241610.07376223375167750.0368811168758387
3080.9678668174768480.06426636504630350.0321331825231518
3090.9744199693842190.05116006123156210.025580030615781
3100.9875931886309120.02481362273817680.0124068113690884
3110.9897956794119940.02040864117601120.0102043205880056
3120.9906487587941750.01870248241165030.00935124120582514
3130.9891408968906310.02171820621873870.0108591031093693
3140.9884669887613090.02306602247738170.0115330112386908
3150.9885971316521740.02280573669565150.0114028683478258
3160.9877798309712350.02444033805753080.0122201690287654
3170.9877886238405990.02442275231880270.0122113761594013
3180.9885418987156190.02291620256876160.0114581012843808
3190.9914534009428780.01709319811424420.0085465990571221
3200.9941027620030250.01179447599394960.00589723799697478
3210.9943003574885160.01139928502296750.00569964251148377
3220.9924138016245120.0151723967509760.00758619837548798
3230.990317071987760.01936585602448090.00968292801224043
3240.9876539072563530.02469218548729420.0123460927436471
3250.9844202424290.03115951514200090.0155797575710005
3260.9816155470589140.03676890588217120.0183844529410856
3270.9798987321969070.04020253560618690.0201012678030934
3280.9787011547907120.04259769041857530.0212988452092877
3290.9774003831762180.04519923364756410.022599616823782
3300.9765780367830030.0468439264339930.0234219632169965
3310.977320591990660.04535881601868030.0226794080093401
3320.9743872103377360.05122557932452710.0256127896622636
3330.9674134141946090.06517317161078260.0325865858053913
3340.9593605550612420.08127888987751540.0406394449387577
3350.949665970981130.100668058037740.05033402901887
3360.9385256536610950.1229486926778110.0614743463389055
3370.9309387512325560.1381224975348870.0690612487674437
3380.9238595842751760.1522808314496470.0761404157248237
3390.9270965678000480.1458068643999030.0729034321999517
3400.9352983440868890.1294033118262220.0647016559131108
3410.9754651759274520.04906964814509640.0245348240725482
3420.9861339813986280.02773203720274310.0138660186013716
3430.9942716920248630.01145661595027420.00572830797513712
3440.9958254963985880.008349007202823830.00417450360141191
3450.9978467493590680.004306501281864080.00215325064093204
3460.9982491758152970.00350164836940670.00175082418470335
3470.9987148857855590.002570228428881940.00128511421444097
3480.9990126185641590.001974762871681830.000987381435840916
3490.9991027178703980.001794564259203780.00089728212960189
3500.9993089159919890.001382168016020990.000691084008010495
3510.9993353398471190.001329320305761560.000664660152880778
3520.9996192872210580.0007614255578838950.000380712778941947
3530.9998107822511550.0003784354976906450.000189217748845323
3540.9999188436662190.0001623126675613578.11563337806787e-05
3550.9999688885302636.2222939473788e-053.1111469736894e-05
3560.9999814942754333.70114491336011e-051.85057245668006e-05
3570.9999927655029981.44689940045852e-057.23449700229259e-06
3580.9999985831472492.83370550233998e-061.41685275116999e-06
3590.9999992732782831.45344343344456e-067.26721716722279e-07
3600.9999998173527633.65294474036538e-071.82647237018269e-07
3610.9999998891574812.21685037675246e-071.10842518837623e-07
3620.9999999053366381.89326723138941e-079.46633615694707e-08
3630.999999861659712.76680579217771e-071.38340289608885e-07
3640.9999996957981746.08403651523112e-073.04201825761556e-07
3650.9999990793422131.84131557463704e-069.20657787318521e-07
3660.9999973311569095.33768618197531e-062.66884309098765e-06
3670.9999939201421241.21597157512719e-056.07985787563593e-06
3680.9999845804034473.0839193107061e-051.54195965535305e-05
3690.999980261506023.94769879599951e-051.97384939799976e-05
3700.9999672987363756.54025272501454e-053.27012636250727e-05
3710.9999804173674373.91652651264401e-051.958263256322e-05
3720.9999688317197556.23365604891615e-053.11682802445808e-05
3730.9999644650149457.10699701107731e-053.55349850553866e-05
3740.9998737420677090.0002525158645817190.00012625793229086
3750.9995834968901440.0008330062197121720.000416503109856086
3760.9988677417613470.002264516477305540.00113225823865277
3770.9970216974589180.005956605082164490.00297830254108225
3780.9960064917491820.007987016501636360.00399350825081818
3790.9977880638036970.004423872392606550.00221193619630327
3800.998479741688520.003040516622960520.00152025831148026

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
16 & 0.000112308139540641 & 0.000224616279081283 & 0.999887691860459 \tabularnewline
17 & 3.9718282573689e-06 & 7.9436565147378e-06 & 0.999996028171743 \tabularnewline
18 & 1.40779331323821e-07 & 2.81558662647642e-07 & 0.999999859220669 \tabularnewline
19 & 4.45051778830979e-09 & 8.90103557661959e-09 & 0.999999995549482 \tabularnewline
20 & 1.35389122901162e-10 & 2.70778245802324e-10 & 0.999999999864611 \tabularnewline
21 & 3.73567767697685e-12 & 7.47135535395371e-12 & 0.999999999996264 \tabularnewline
22 & 2.96861477233514e-12 & 5.93722954467029e-12 & 0.999999999997031 \tabularnewline
23 & 1.91582054049889e-13 & 3.83164108099778e-13 & 0.999999999999808 \tabularnewline
24 & 1.07815442600333e-14 & 2.15630885200666e-14 & 0.999999999999989 \tabularnewline
25 & 5.24926430504169e-16 & 1.04985286100834e-15 & 0.999999999999999 \tabularnewline
26 & 1.22086619071408e-16 & 2.44173238142815e-16 & 1 \tabularnewline
27 & 4.37788695505992e-17 & 8.75577391011984e-17 & 1 \tabularnewline
28 & 1.09076125069699e-16 & 2.18152250139398e-16 & 1 \tabularnewline
29 & 6.46345784662409e-18 & 1.29269156932482e-17 & 1 \tabularnewline
30 & 4.68157548142994e-19 & 9.36315096285988e-19 & 1 \tabularnewline
31 & 2.66299796310929e-20 & 5.32599592621857e-20 & 1 \tabularnewline
32 & 6.01400025491009e-21 & 1.20280005098202e-20 & 1 \tabularnewline
33 & 9.21988750179663e-22 & 1.84397750035933e-21 & 1 \tabularnewline
34 & 6.66867648635827e-23 & 1.33373529727165e-22 & 1 \tabularnewline
35 & 6.05859010389347e-24 & 1.21171802077869e-23 & 1 \tabularnewline
36 & 1.00018812086312e-23 & 2.00037624172624e-23 & 1 \tabularnewline
37 & 4.46800910540943e-24 & 8.93601821081885e-24 & 1 \tabularnewline
38 & 4.5179102494864e-25 & 9.0358204989728e-25 & 1 \tabularnewline
39 & 1.44881481977027e-25 & 2.89762963954054e-25 & 1 \tabularnewline
40 & 1.09293664982163e-26 & 2.18587329964326e-26 & 1 \tabularnewline
41 & 1.084682195521e-27 & 2.169364391042e-27 & 1 \tabularnewline
42 & 1.65741422021353e-28 & 3.31482844042707e-28 & 1 \tabularnewline
43 & 2.44329183804013e-29 & 4.88658367608025e-29 & 1 \tabularnewline
44 & 1.93189054515156e-30 & 3.86378109030313e-30 & 1 \tabularnewline
45 & 2.41141386552598e-31 & 4.82282773105196e-31 & 1 \tabularnewline
46 & 1.22590363722849e-29 & 2.45180727445699e-29 & 1 \tabularnewline
47 & 9.52296967990819e-28 & 1.90459393598164e-27 & 1 \tabularnewline
48 & 7.97862124067073e-27 & 1.59572424813415e-26 & 1 \tabularnewline
49 & 3.78834009309972e-27 & 7.57668018619943e-27 & 1 \tabularnewline
50 & 1.39137984559759e-27 & 2.78275969119517e-27 & 1 \tabularnewline
51 & 4.24634709886184e-27 & 8.49269419772368e-27 & 1 \tabularnewline
52 & 4.54987365499321e-27 & 9.09974730998643e-27 & 1 \tabularnewline
53 & 1.10112142296804e-27 & 2.20224284593608e-27 & 1 \tabularnewline
54 & 1.95388680609582e-28 & 3.90777361219165e-28 & 1 \tabularnewline
55 & 3.28958351923392e-29 & 6.57916703846784e-29 & 1 \tabularnewline
56 & 5.27826024929104e-30 & 1.05565204985821e-29 & 1 \tabularnewline
57 & 1.38593215738203e-30 & 2.77186431476405e-30 & 1 \tabularnewline
58 & 8.46146665130635e-31 & 1.69229333026127e-30 & 1 \tabularnewline
59 & 8.76946741186815e-31 & 1.75389348237363e-30 & 1 \tabularnewline
60 & 5.77992096581505e-31 & 1.15598419316301e-30 & 1 \tabularnewline
61 & 3.04957186030895e-30 & 6.0991437206179e-30 & 1 \tabularnewline
62 & 1.81019948184092e-29 & 3.62039896368183e-29 & 1 \tabularnewline
63 & 1.77538972636352e-29 & 3.55077945272705e-29 & 1 \tabularnewline
64 & 1.52094959721789e-29 & 3.04189919443579e-29 & 1 \tabularnewline
65 & 1.32703562039428e-29 & 2.65407124078855e-29 & 1 \tabularnewline
66 & 6.02014235154859e-30 & 1.20402847030972e-29 & 1 \tabularnewline
67 & 1.63113584070522e-30 & 3.26227168141045e-30 & 1 \tabularnewline
68 & 2.21653431391724e-30 & 4.43306862783448e-30 & 1 \tabularnewline
69 & 5.01574569106198e-29 & 1.0031491382124e-28 & 1 \tabularnewline
70 & 2.86718335390766e-27 & 5.73436670781532e-27 & 1 \tabularnewline
71 & 1.70875508208778e-24 & 3.41751016417557e-24 & 1 \tabularnewline
72 & 8.80695505498447e-23 & 1.76139101099689e-22 & 1 \tabularnewline
73 & 2.80619980044442e-22 & 5.61239960088885e-22 & 1 \tabularnewline
74 & 2.47397536341446e-22 & 4.94795072682892e-22 & 1 \tabularnewline
75 & 7.95274735979367e-23 & 1.59054947195873e-22 & 1 \tabularnewline
76 & 2.42277587868754e-23 & 4.84555175737507e-23 & 1 \tabularnewline
77 & 1.21523873693825e-23 & 2.43047747387651e-23 & 1 \tabularnewline
78 & 5.25610363216636e-24 & 1.05122072643327e-23 & 1 \tabularnewline
79 & 1.54878636816674e-24 & 3.09757273633348e-24 & 1 \tabularnewline
80 & 5.41565376428399e-25 & 1.0831307528568e-24 & 1 \tabularnewline
81 & 2.30592491414802e-25 & 4.61184982829604e-25 & 1 \tabularnewline
82 & 1.60730856687086e-25 & 3.21461713374172e-25 & 1 \tabularnewline
83 & 1.53824009469052e-25 & 3.07648018938103e-25 & 1 \tabularnewline
84 & 1.15221464647251e-25 & 2.30442929294501e-25 & 1 \tabularnewline
85 & 5.56936009468782e-26 & 1.11387201893756e-25 & 1 \tabularnewline
86 & 3.26496031654283e-26 & 6.52992063308566e-26 & 1 \tabularnewline
87 & 9.88120054875662e-27 & 1.97624010975132e-26 & 1 \tabularnewline
88 & 3.55566071808753e-27 & 7.11132143617507e-27 & 1 \tabularnewline
89 & 1.44823385781613e-27 & 2.89646771563227e-27 & 1 \tabularnewline
90 & 4.60682602962961e-28 & 9.21365205925923e-28 & 1 \tabularnewline
91 & 1.57226273829323e-28 & 3.14452547658645e-28 & 1 \tabularnewline
92 & 7.09546334645908e-29 & 1.41909266929182e-28 & 1 \tabularnewline
93 & 2.52720287263699e-29 & 5.05440574527398e-29 & 1 \tabularnewline
94 & 9.44013310985555e-30 & 1.88802662197111e-29 & 1 \tabularnewline
95 & 4.28126148360831e-30 & 8.56252296721662e-30 & 1 \tabularnewline
96 & 1.94688437767868e-30 & 3.89376875535735e-30 & 1 \tabularnewline
97 & 6.99154638454904e-31 & 1.39830927690981e-30 & 1 \tabularnewline
98 & 2.17181725886746e-31 & 4.34363451773491e-31 & 1 \tabularnewline
99 & 1.2443330638278e-31 & 2.4886661276556e-31 & 1 \tabularnewline
100 & 1.88358862530871e-30 & 3.76717725061741e-30 & 1 \tabularnewline
101 & 1.30952946823155e-29 & 2.61905893646311e-29 & 1 \tabularnewline
102 & 9.66329928054496e-29 & 1.93265985610899e-28 & 1 \tabularnewline
103 & 5.21239278746204e-28 & 1.04247855749241e-27 & 1 \tabularnewline
104 & 2.24888771975548e-27 & 4.49777543951097e-27 & 1 \tabularnewline
105 & 5.06876752816756e-27 & 1.01375350563351e-26 & 1 \tabularnewline
106 & 5.27270507279992e-27 & 1.05454101455998e-26 & 1 \tabularnewline
107 & 3.54089621186159e-27 & 7.08179242372317e-27 & 1 \tabularnewline
108 & 5.76522204424535e-27 & 1.15304440884907e-26 & 1 \tabularnewline
109 & 1.03803406334808e-26 & 2.07606812669616e-26 & 1 \tabularnewline
110 & 4.56905050861695e-26 & 9.1381010172339e-26 & 1 \tabularnewline
111 & 4.23720300551471e-25 & 8.47440601102942e-25 & 1 \tabularnewline
112 & 1.28098073925501e-23 & 2.56196147851001e-23 & 1 \tabularnewline
113 & 1.20603530716541e-22 & 2.41207061433081e-22 & 1 \tabularnewline
114 & 3.18770610576313e-22 & 6.37541221152627e-22 & 1 \tabularnewline
115 & 4.67984313080109e-22 & 9.35968626160217e-22 & 1 \tabularnewline
116 & 1.43349571038274e-21 & 2.86699142076549e-21 & 1 \tabularnewline
117 & 4.88093895081311e-21 & 9.76187790162621e-21 & 1 \tabularnewline
118 & 1.20464579781155e-20 & 2.4092915956231e-20 & 1 \tabularnewline
119 & 2.82057063523931e-20 & 5.64114127047862e-20 & 1 \tabularnewline
120 & 1.12688791523643e-19 & 2.25377583047285e-19 & 1 \tabularnewline
121 & 6.38901085069769e-19 & 1.27780217013954e-18 & 1 \tabularnewline
122 & 4.47704835249968e-18 & 8.95409670499935e-18 & 1 \tabularnewline
123 & 6.45407108747148e-17 & 1.2908142174943e-16 & 1 \tabularnewline
124 & 8.74255181158401e-17 & 1.7485103623168e-16 & 1 \tabularnewline
125 & 8.32800194729515e-17 & 1.66560038945903e-16 & 1 \tabularnewline
126 & 9.29719828391817e-17 & 1.85943965678363e-16 & 1 \tabularnewline
127 & 9.37290969051479e-17 & 1.87458193810296e-16 & 1 \tabularnewline
128 & 1.6239244909899e-16 & 3.24784898197981e-16 & 1 \tabularnewline
129 & 1.8228224215089e-16 & 3.64564484301781e-16 & 1 \tabularnewline
130 & 1.46087195314096e-16 & 2.92174390628192e-16 & 1 \tabularnewline
131 & 1.45726058037315e-16 & 2.91452116074631e-16 & 1 \tabularnewline
132 & 1.99156744171676e-16 & 3.98313488343352e-16 & 1 \tabularnewline
133 & 2.48956777232331e-16 & 4.97913554464662e-16 & 1 \tabularnewline
134 & 5.71609871699926e-16 & 1.14321974339985e-15 & 0.999999999999999 \tabularnewline
135 & 9.67300081744729e-15 & 1.93460016348946e-14 & 0.99999999999999 \tabularnewline
136 & 5.35114380062283e-14 & 1.07022876012457e-13 & 0.999999999999946 \tabularnewline
137 & 2.24977321703278e-13 & 4.49954643406557e-13 & 0.999999999999775 \tabularnewline
138 & 1.92279084747172e-13 & 3.84558169494344e-13 & 0.999999999999808 \tabularnewline
139 & 1.14536909385955e-13 & 2.2907381877191e-13 & 0.999999999999885 \tabularnewline
140 & 7.72858943731031e-14 & 1.54571788746206e-13 & 0.999999999999923 \tabularnewline
141 & 6.00064354687612e-14 & 1.20012870937522e-13 & 0.99999999999994 \tabularnewline
142 & 5.66030686360563e-14 & 1.13206137272113e-13 & 0.999999999999943 \tabularnewline
143 & 6.16285114344958e-14 & 1.23257022868992e-13 & 0.999999999999938 \tabularnewline
144 & 6.52993069324224e-14 & 1.30598613864845e-13 & 0.999999999999935 \tabularnewline
145 & 5.97055025615854e-14 & 1.19411005123171e-13 & 0.99999999999994 \tabularnewline
146 & 4.86010704932717e-14 & 9.72021409865433e-14 & 0.999999999999951 \tabularnewline
147 & 3.7548346616545e-14 & 7.50966932330901e-14 & 0.999999999999962 \tabularnewline
148 & 3.11506939503664e-14 & 6.23013879007329e-14 & 0.999999999999969 \tabularnewline
149 & 2.09216156228307e-14 & 4.18432312456615e-14 & 0.999999999999979 \tabularnewline
150 & 1.67012429548842e-14 & 3.34024859097685e-14 & 0.999999999999983 \tabularnewline
151 & 1.35886066254399e-14 & 2.71772132508798e-14 & 0.999999999999986 \tabularnewline
152 & 1.04737620950415e-14 & 2.09475241900831e-14 & 0.99999999999999 \tabularnewline
153 & 1.091283087361e-14 & 2.18256617472199e-14 & 0.999999999999989 \tabularnewline
154 & 1.1626969992463e-14 & 2.32539399849261e-14 & 0.999999999999988 \tabularnewline
155 & 1.30627873756032e-14 & 2.61255747512064e-14 & 0.999999999999987 \tabularnewline
156 & 1.53242972853457e-14 & 3.06485945706914e-14 & 0.999999999999985 \tabularnewline
157 & 3.097486737956e-14 & 6.19497347591199e-14 & 0.999999999999969 \tabularnewline
158 & 5.19092938366838e-14 & 1.03818587673368e-13 & 0.999999999999948 \tabularnewline
159 & 4.17075311991128e-14 & 8.34150623982255e-14 & 0.999999999999958 \tabularnewline
160 & 1.08717992560404e-13 & 2.17435985120807e-13 & 0.999999999999891 \tabularnewline
161 & 9.24825599089237e-14 & 1.84965119817847e-13 & 0.999999999999908 \tabularnewline
162 & 7.90004320359982e-14 & 1.58000864071996e-13 & 0.999999999999921 \tabularnewline
163 & 7.61082642783998e-14 & 1.522165285568e-13 & 0.999999999999924 \tabularnewline
164 & 9.73256512570045e-14 & 1.94651302514009e-13 & 0.999999999999903 \tabularnewline
165 & 1.4829965778255e-13 & 2.96599315565099e-13 & 0.999999999999852 \tabularnewline
166 & 2.08754986184207e-13 & 4.17509972368414e-13 & 0.999999999999791 \tabularnewline
167 & 3.28509757281531e-13 & 6.57019514563061e-13 & 0.999999999999671 \tabularnewline
168 & 5.16643326278392e-13 & 1.03328665255678e-12 & 0.999999999999483 \tabularnewline
169 & 6.69092383019764e-13 & 1.33818476603953e-12 & 0.999999999999331 \tabularnewline
170 & 7.80138098960848e-13 & 1.5602761979217e-12 & 0.99999999999922 \tabularnewline
171 & 2.58170302968513e-12 & 5.16340605937026e-12 & 0.999999999997418 \tabularnewline
172 & 4.64587097375975e-12 & 9.29174194751949e-12 & 0.999999999995354 \tabularnewline
173 & 4.01448460643984e-12 & 8.02896921287968e-12 & 0.999999999995986 \tabularnewline
174 & 4.6820471996658e-12 & 9.3640943993316e-12 & 0.999999999995318 \tabularnewline
175 & 6.34369820285834e-12 & 1.26873964057167e-11 & 0.999999999993656 \tabularnewline
176 & 8.97313520639762e-12 & 1.79462704127952e-11 & 0.999999999991027 \tabularnewline
177 & 3.20117051896722e-11 & 6.40234103793445e-11 & 0.999999999967988 \tabularnewline
178 & 1.26628469584834e-10 & 2.53256939169668e-10 & 0.999999999873372 \tabularnewline
179 & 1.87827674406639e-10 & 3.75655348813278e-10 & 0.999999999812172 \tabularnewline
180 & 3.0093349213711e-10 & 6.01866984274221e-10 & 0.999999999699066 \tabularnewline
181 & 4.40308949579865e-10 & 8.80617899159731e-10 & 0.999999999559691 \tabularnewline
182 & 4.55606072753072e-10 & 9.11212145506144e-10 & 0.999999999544394 \tabularnewline
183 & 4.37944279477985e-10 & 8.7588855895597e-10 & 0.999999999562056 \tabularnewline
184 & 5.02569717240619e-10 & 1.00513943448124e-09 & 0.99999999949743 \tabularnewline
185 & 4.97971489332934e-10 & 9.95942978665867e-10 & 0.999999999502029 \tabularnewline
186 & 4.7807631313665e-10 & 9.56152626273301e-10 & 0.999999999521924 \tabularnewline
187 & 7.46682211771842e-10 & 1.49336442354368e-09 & 0.999999999253318 \tabularnewline
188 & 9.90441863300615e-10 & 1.98088372660123e-09 & 0.999999999009558 \tabularnewline
189 & 1.11980679649204e-09 & 2.23961359298407e-09 & 0.999999998880193 \tabularnewline
190 & 1.44997721157066e-09 & 2.89995442314132e-09 & 0.999999998550023 \tabularnewline
191 & 1.9582438880561e-09 & 3.91648777611221e-09 & 0.999999998041756 \tabularnewline
192 & 3.27846726050602e-09 & 6.55693452101203e-09 & 0.999999996721533 \tabularnewline
193 & 3.74065732788985e-09 & 7.4813146557797e-09 & 0.999999996259343 \tabularnewline
194 & 3.62230527490511e-09 & 7.24461054981021e-09 & 0.999999996377695 \tabularnewline
195 & 3.46863053116909e-09 & 6.93726106233819e-09 & 0.99999999653137 \tabularnewline
196 & 4.65447973242374e-09 & 9.30895946484749e-09 & 0.99999999534552 \tabularnewline
197 & 4.29450985609474e-09 & 8.58901971218947e-09 & 0.99999999570549 \tabularnewline
198 & 5.7317204606768e-09 & 1.14634409213536e-08 & 0.99999999426828 \tabularnewline
199 & 9.35329840657193e-09 & 1.87065968131439e-08 & 0.999999990646702 \tabularnewline
200 & 2.05741080285455e-08 & 4.11482160570909e-08 & 0.999999979425892 \tabularnewline
201 & 3.11374864922729e-08 & 6.22749729845459e-08 & 0.999999968862514 \tabularnewline
202 & 3.66940569925959e-08 & 7.33881139851919e-08 & 0.999999963305943 \tabularnewline
203 & 4.54246443226533e-08 & 9.08492886453066e-08 & 0.999999954575356 \tabularnewline
204 & 5.99437379189498e-08 & 1.198874758379e-07 & 0.999999940056262 \tabularnewline
205 & 1.0034830004413e-07 & 2.0069660008826e-07 & 0.9999998996517 \tabularnewline
206 & 1.25801093445173e-07 & 2.51602186890346e-07 & 0.999999874198907 \tabularnewline
207 & 1.64278562993783e-07 & 3.28557125987567e-07 & 0.999999835721437 \tabularnewline
208 & 1.58445200395751e-07 & 3.16890400791502e-07 & 0.9999998415548 \tabularnewline
209 & 1.35476765171705e-07 & 2.7095353034341e-07 & 0.999999864523235 \tabularnewline
210 & 1.42888974062416e-07 & 2.85777948124831e-07 & 0.999999857111026 \tabularnewline
211 & 1.30298907796078e-07 & 2.60597815592157e-07 & 0.999999869701092 \tabularnewline
212 & 1.13255081430664e-07 & 2.26510162861328e-07 & 0.999999886744919 \tabularnewline
213 & 9.48432318849111e-08 & 1.89686463769822e-07 & 0.999999905156768 \tabularnewline
214 & 3.09908203884409e-07 & 6.19816407768817e-07 & 0.999999690091796 \tabularnewline
215 & 6.58345434224698e-07 & 1.3166908684494e-06 & 0.999999341654566 \tabularnewline
216 & 1.04748739900683e-06 & 2.09497479801366e-06 & 0.999998952512601 \tabularnewline
217 & 1.19237985089407e-06 & 2.38475970178813e-06 & 0.999998807620149 \tabularnewline
218 & 1.46219104664858e-06 & 2.92438209329716e-06 & 0.999998537808953 \tabularnewline
219 & 1.08171267694382e-06 & 2.16342535388765e-06 & 0.999998918287323 \tabularnewline
220 & 1.1700057500926e-06 & 2.34001150018521e-06 & 0.99999882999425 \tabularnewline
221 & 1.1143912354418e-06 & 2.22878247088359e-06 & 0.999998885608765 \tabularnewline
222 & 1.22495494946686e-06 & 2.44990989893373e-06 & 0.999998775045051 \tabularnewline
223 & 1.08454940486789e-06 & 2.16909880973578e-06 & 0.999998915450595 \tabularnewline
224 & 7.75484204228364e-07 & 1.55096840845673e-06 & 0.999999224515796 \tabularnewline
225 & 1.39006311166178e-06 & 2.78012622332356e-06 & 0.999998609936888 \tabularnewline
226 & 2.88221981689858e-06 & 5.76443963379715e-06 & 0.999997117780183 \tabularnewline
227 & 8.3621416331067e-06 & 1.67242832662134e-05 & 0.999991637858367 \tabularnewline
228 & 2.37698587096549e-05 & 4.75397174193097e-05 & 0.99997623014129 \tabularnewline
229 & 1.82166106103699e-05 & 3.64332212207399e-05 & 0.99998178338939 \tabularnewline
230 & 1.31823999968628e-05 & 2.63647999937255e-05 & 0.999986817600003 \tabularnewline
231 & 1.07533062686594e-05 & 2.15066125373188e-05 & 0.999989246693731 \tabularnewline
232 & 1.4773546099596e-05 & 2.9547092199192e-05 & 0.9999852264539 \tabularnewline
233 & 3.29174959056859e-05 & 6.58349918113718e-05 & 0.999967082504094 \tabularnewline
234 & 0.000104380426273943 & 0.000208760852547886 & 0.999895619573726 \tabularnewline
235 & 0.000429806012291902 & 0.000859612024583803 & 0.999570193987708 \tabularnewline
236 & 0.00162931079107432 & 0.00325862158214864 & 0.998370689208926 \tabularnewline
237 & 0.0027784208459489 & 0.0055568416918978 & 0.997221579154051 \tabularnewline
238 & 0.00387643124536809 & 0.00775286249073617 & 0.996123568754632 \tabularnewline
239 & 0.00905710623642735 & 0.0181142124728547 & 0.990942893763573 \tabularnewline
240 & 0.00853314830765826 & 0.0170662966153165 & 0.991466851692342 \tabularnewline
241 & 0.012157351053678 & 0.0243147021073561 & 0.987842648946322 \tabularnewline
242 & 0.0108232759945775 & 0.0216465519891551 & 0.989176724005422 \tabularnewline
243 & 0.0218393190786574 & 0.0436786381573147 & 0.978160680921343 \tabularnewline
244 & 0.0466021878712079 & 0.0932043757424159 & 0.953397812128792 \tabularnewline
245 & 0.128776887754753 & 0.257553775509506 & 0.871223112245247 \tabularnewline
246 & 0.218258374158734 & 0.436516748317468 & 0.781741625841266 \tabularnewline
247 & 0.297712101305055 & 0.59542420261011 & 0.702287898694945 \tabularnewline
248 & 0.483158322290916 & 0.966316644581833 & 0.516841677709084 \tabularnewline
249 & 0.635096396036797 & 0.729807207926406 & 0.364903603963203 \tabularnewline
250 & 0.616865846818119 & 0.766268306363763 & 0.383134153181881 \tabularnewline
251 & 0.597655097552911 & 0.804689804894178 & 0.402344902447089 \tabularnewline
252 & 0.574256165099396 & 0.851487669801208 & 0.425743834900604 \tabularnewline
253 & 0.585461396503801 & 0.829077206992397 & 0.414538603496199 \tabularnewline
254 & 0.589137306657209 & 0.821725386685581 & 0.410862693342791 \tabularnewline
255 & 0.600408615417109 & 0.799182769165781 & 0.399591384582891 \tabularnewline
256 & 0.680691397349843 & 0.638617205300313 & 0.319308602650157 \tabularnewline
257 & 0.742801567572542 & 0.514396864854916 & 0.257198432427458 \tabularnewline
258 & 0.812054660655952 & 0.375890678688096 & 0.187945339344048 \tabularnewline
259 & 0.877034278326369 & 0.245931443347262 & 0.122965721673631 \tabularnewline
260 & 0.936759317590922 & 0.126481364818157 & 0.0632406824090784 \tabularnewline
261 & 0.930497168628382 & 0.139005662743235 & 0.0695028313716177 \tabularnewline
262 & 0.927379193601962 & 0.145241612796076 & 0.0726208063980381 \tabularnewline
263 & 0.91610649907099 & 0.16778700185802 & 0.0838935009290098 \tabularnewline
264 & 0.903630487356674 & 0.192739025286652 & 0.096369512643326 \tabularnewline
265 & 0.891804987078459 & 0.216390025843082 & 0.108195012921541 \tabularnewline
266 & 0.897652608376652 & 0.204694783246695 & 0.102347391623348 \tabularnewline
267 & 0.889034373780072 & 0.221931252439856 & 0.110965626219928 \tabularnewline
268 & 0.883283792671774 & 0.233432414656451 & 0.116716207328226 \tabularnewline
269 & 0.900374862221612 & 0.199250275556776 & 0.0996251377783879 \tabularnewline
270 & 0.909073657644163 & 0.181852684711674 & 0.0909263423558371 \tabularnewline
271 & 0.91620083805088 & 0.167598323898239 & 0.0837991619491196 \tabularnewline
272 & 0.933616139893049 & 0.132767720213902 & 0.0663838601069508 \tabularnewline
273 & 0.945099935446572 & 0.109800129106856 & 0.0549000645534278 \tabularnewline
274 & 0.951342954015459 & 0.0973140919690827 & 0.0486570459845414 \tabularnewline
275 & 0.944232383170866 & 0.111535233658268 & 0.055767616829134 \tabularnewline
276 & 0.934916247293532 & 0.130167505412935 & 0.0650837527064676 \tabularnewline
277 & 0.929440208237964 & 0.141119583524073 & 0.0705597917620364 \tabularnewline
278 & 0.920265527525659 & 0.159468944948681 & 0.0797344724743406 \tabularnewline
279 & 0.919600741911917 & 0.160798516176167 & 0.0803992580880834 \tabularnewline
280 & 0.930333874148327 & 0.139332251703345 & 0.0696661258516727 \tabularnewline
281 & 0.948594222920311 & 0.102811554159377 & 0.0514057770796887 \tabularnewline
282 & 0.979085338012915 & 0.0418293239741699 & 0.020914661987085 \tabularnewline
283 & 0.989657346440431 & 0.0206853071191379 & 0.010342653559569 \tabularnewline
284 & 0.98877490072544 & 0.0224501985491204 & 0.0112250992745602 \tabularnewline
285 & 0.989736624568871 & 0.0205267508622576 & 0.0102633754311288 \tabularnewline
286 & 0.988386023332299 & 0.0232279533354024 & 0.0116139766677012 \tabularnewline
287 & 0.986955032068572 & 0.0260899358628558 & 0.0130449679314279 \tabularnewline
288 & 0.985552064834789 & 0.0288958703304224 & 0.0144479351652112 \tabularnewline
289 & 0.982222868494654 & 0.0355542630106918 & 0.0177771315053459 \tabularnewline
290 & 0.981550212981812 & 0.0368995740363762 & 0.0184497870181881 \tabularnewline
291 & 0.981868985222103 & 0.0362620295557932 & 0.0181310147778966 \tabularnewline
292 & 0.981819033710916 & 0.0363619325781691 & 0.0181809662890845 \tabularnewline
293 & 0.981950690792457 & 0.0360986184150865 & 0.0180493092075433 \tabularnewline
294 & 0.98197788039918 & 0.0360442392016401 & 0.0180221196008201 \tabularnewline
295 & 0.980959311034777 & 0.038081377930446 & 0.019040688965223 \tabularnewline
296 & 0.977893258632322 & 0.0442134827353555 & 0.0221067413676778 \tabularnewline
297 & 0.973949005558235 & 0.0521019888835295 & 0.0260509944417647 \tabularnewline
298 & 0.974223899203216 & 0.0515522015935673 & 0.0257761007967836 \tabularnewline
299 & 0.970335883795444 & 0.0593282324091113 & 0.0296641162045557 \tabularnewline
300 & 0.965287971650544 & 0.0694240566989119 & 0.0347120283494559 \tabularnewline
301 & 0.959283346367311 & 0.081433307265377 & 0.0407166536326885 \tabularnewline
302 & 0.958285678536212 & 0.0834286429275756 & 0.0417143214637878 \tabularnewline
303 & 0.956943087984715 & 0.0861138240305707 & 0.0430569120152854 \tabularnewline
304 & 0.95844879059508 & 0.083102418809839 & 0.0415512094049195 \tabularnewline
305 & 0.959688678602654 & 0.0806226427946924 & 0.0403113213973462 \tabularnewline
306 & 0.961562420375752 & 0.0768751592484954 & 0.0384375796242477 \tabularnewline
307 & 0.963118883124161 & 0.0737622337516775 & 0.0368811168758387 \tabularnewline
308 & 0.967866817476848 & 0.0642663650463035 & 0.0321331825231518 \tabularnewline
309 & 0.974419969384219 & 0.0511600612315621 & 0.025580030615781 \tabularnewline
310 & 0.987593188630912 & 0.0248136227381768 & 0.0124068113690884 \tabularnewline
311 & 0.989795679411994 & 0.0204086411760112 & 0.0102043205880056 \tabularnewline
312 & 0.990648758794175 & 0.0187024824116503 & 0.00935124120582514 \tabularnewline
313 & 0.989140896890631 & 0.0217182062187387 & 0.0108591031093693 \tabularnewline
314 & 0.988466988761309 & 0.0230660224773817 & 0.0115330112386908 \tabularnewline
315 & 0.988597131652174 & 0.0228057366956515 & 0.0114028683478258 \tabularnewline
316 & 0.987779830971235 & 0.0244403380575308 & 0.0122201690287654 \tabularnewline
317 & 0.987788623840599 & 0.0244227523188027 & 0.0122113761594013 \tabularnewline
318 & 0.988541898715619 & 0.0229162025687616 & 0.0114581012843808 \tabularnewline
319 & 0.991453400942878 & 0.0170931981142442 & 0.0085465990571221 \tabularnewline
320 & 0.994102762003025 & 0.0117944759939496 & 0.00589723799697478 \tabularnewline
321 & 0.994300357488516 & 0.0113992850229675 & 0.00569964251148377 \tabularnewline
322 & 0.992413801624512 & 0.015172396750976 & 0.00758619837548798 \tabularnewline
323 & 0.99031707198776 & 0.0193658560244809 & 0.00968292801224043 \tabularnewline
324 & 0.987653907256353 & 0.0246921854872942 & 0.0123460927436471 \tabularnewline
325 & 0.984420242429 & 0.0311595151420009 & 0.0155797575710005 \tabularnewline
326 & 0.981615547058914 & 0.0367689058821712 & 0.0183844529410856 \tabularnewline
327 & 0.979898732196907 & 0.0402025356061869 & 0.0201012678030934 \tabularnewline
328 & 0.978701154790712 & 0.0425976904185753 & 0.0212988452092877 \tabularnewline
329 & 0.977400383176218 & 0.0451992336475641 & 0.022599616823782 \tabularnewline
330 & 0.976578036783003 & 0.046843926433993 & 0.0234219632169965 \tabularnewline
331 & 0.97732059199066 & 0.0453588160186803 & 0.0226794080093401 \tabularnewline
332 & 0.974387210337736 & 0.0512255793245271 & 0.0256127896622636 \tabularnewline
333 & 0.967413414194609 & 0.0651731716107826 & 0.0325865858053913 \tabularnewline
334 & 0.959360555061242 & 0.0812788898775154 & 0.0406394449387577 \tabularnewline
335 & 0.94966597098113 & 0.10066805803774 & 0.05033402901887 \tabularnewline
336 & 0.938525653661095 & 0.122948692677811 & 0.0614743463389055 \tabularnewline
337 & 0.930938751232556 & 0.138122497534887 & 0.0690612487674437 \tabularnewline
338 & 0.923859584275176 & 0.152280831449647 & 0.0761404157248237 \tabularnewline
339 & 0.927096567800048 & 0.145806864399903 & 0.0729034321999517 \tabularnewline
340 & 0.935298344086889 & 0.129403311826222 & 0.0647016559131108 \tabularnewline
341 & 0.975465175927452 & 0.0490696481450964 & 0.0245348240725482 \tabularnewline
342 & 0.986133981398628 & 0.0277320372027431 & 0.0138660186013716 \tabularnewline
343 & 0.994271692024863 & 0.0114566159502742 & 0.00572830797513712 \tabularnewline
344 & 0.995825496398588 & 0.00834900720282383 & 0.00417450360141191 \tabularnewline
345 & 0.997846749359068 & 0.00430650128186408 & 0.00215325064093204 \tabularnewline
346 & 0.998249175815297 & 0.0035016483694067 & 0.00175082418470335 \tabularnewline
347 & 0.998714885785559 & 0.00257022842888194 & 0.00128511421444097 \tabularnewline
348 & 0.999012618564159 & 0.00197476287168183 & 0.000987381435840916 \tabularnewline
349 & 0.999102717870398 & 0.00179456425920378 & 0.00089728212960189 \tabularnewline
350 & 0.999308915991989 & 0.00138216801602099 & 0.000691084008010495 \tabularnewline
351 & 0.999335339847119 & 0.00132932030576156 & 0.000664660152880778 \tabularnewline
352 & 0.999619287221058 & 0.000761425557883895 & 0.000380712778941947 \tabularnewline
353 & 0.999810782251155 & 0.000378435497690645 & 0.000189217748845323 \tabularnewline
354 & 0.999918843666219 & 0.000162312667561357 & 8.11563337806787e-05 \tabularnewline
355 & 0.999968888530263 & 6.2222939473788e-05 & 3.1111469736894e-05 \tabularnewline
356 & 0.999981494275433 & 3.70114491336011e-05 & 1.85057245668006e-05 \tabularnewline
357 & 0.999992765502998 & 1.44689940045852e-05 & 7.23449700229259e-06 \tabularnewline
358 & 0.999998583147249 & 2.83370550233998e-06 & 1.41685275116999e-06 \tabularnewline
359 & 0.999999273278283 & 1.45344343344456e-06 & 7.26721716722279e-07 \tabularnewline
360 & 0.999999817352763 & 3.65294474036538e-07 & 1.82647237018269e-07 \tabularnewline
361 & 0.999999889157481 & 2.21685037675246e-07 & 1.10842518837623e-07 \tabularnewline
362 & 0.999999905336638 & 1.89326723138941e-07 & 9.46633615694707e-08 \tabularnewline
363 & 0.99999986165971 & 2.76680579217771e-07 & 1.38340289608885e-07 \tabularnewline
364 & 0.999999695798174 & 6.08403651523112e-07 & 3.04201825761556e-07 \tabularnewline
365 & 0.999999079342213 & 1.84131557463704e-06 & 9.20657787318521e-07 \tabularnewline
366 & 0.999997331156909 & 5.33768618197531e-06 & 2.66884309098765e-06 \tabularnewline
367 & 0.999993920142124 & 1.21597157512719e-05 & 6.07985787563593e-06 \tabularnewline
368 & 0.999984580403447 & 3.0839193107061e-05 & 1.54195965535305e-05 \tabularnewline
369 & 0.99998026150602 & 3.94769879599951e-05 & 1.97384939799976e-05 \tabularnewline
370 & 0.999967298736375 & 6.54025272501454e-05 & 3.27012636250727e-05 \tabularnewline
371 & 0.999980417367437 & 3.91652651264401e-05 & 1.958263256322e-05 \tabularnewline
372 & 0.999968831719755 & 6.23365604891615e-05 & 3.11682802445808e-05 \tabularnewline
373 & 0.999964465014945 & 7.10699701107731e-05 & 3.55349850553866e-05 \tabularnewline
374 & 0.999873742067709 & 0.000252515864581719 & 0.00012625793229086 \tabularnewline
375 & 0.999583496890144 & 0.000833006219712172 & 0.000416503109856086 \tabularnewline
376 & 0.998867741761347 & 0.00226451647730554 & 0.00113225823865277 \tabularnewline
377 & 0.997021697458918 & 0.00595660508216449 & 0.00297830254108225 \tabularnewline
378 & 0.996006491749182 & 0.00798701650163636 & 0.00399350825081818 \tabularnewline
379 & 0.997788063803697 & 0.00442387239260655 & 0.00221193619630327 \tabularnewline
380 & 0.99847974168852 & 0.00304051662296052 & 0.00152025831148026 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203059&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]16[/C][C]0.000112308139540641[/C][C]0.000224616279081283[/C][C]0.999887691860459[/C][/ROW]
[ROW][C]17[/C][C]3.9718282573689e-06[/C][C]7.9436565147378e-06[/C][C]0.999996028171743[/C][/ROW]
[ROW][C]18[/C][C]1.40779331323821e-07[/C][C]2.81558662647642e-07[/C][C]0.999999859220669[/C][/ROW]
[ROW][C]19[/C][C]4.45051778830979e-09[/C][C]8.90103557661959e-09[/C][C]0.999999995549482[/C][/ROW]
[ROW][C]20[/C][C]1.35389122901162e-10[/C][C]2.70778245802324e-10[/C][C]0.999999999864611[/C][/ROW]
[ROW][C]21[/C][C]3.73567767697685e-12[/C][C]7.47135535395371e-12[/C][C]0.999999999996264[/C][/ROW]
[ROW][C]22[/C][C]2.96861477233514e-12[/C][C]5.93722954467029e-12[/C][C]0.999999999997031[/C][/ROW]
[ROW][C]23[/C][C]1.91582054049889e-13[/C][C]3.83164108099778e-13[/C][C]0.999999999999808[/C][/ROW]
[ROW][C]24[/C][C]1.07815442600333e-14[/C][C]2.15630885200666e-14[/C][C]0.999999999999989[/C][/ROW]
[ROW][C]25[/C][C]5.24926430504169e-16[/C][C]1.04985286100834e-15[/C][C]0.999999999999999[/C][/ROW]
[ROW][C]26[/C][C]1.22086619071408e-16[/C][C]2.44173238142815e-16[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]4.37788695505992e-17[/C][C]8.75577391011984e-17[/C][C]1[/C][/ROW]
[ROW][C]28[/C][C]1.09076125069699e-16[/C][C]2.18152250139398e-16[/C][C]1[/C][/ROW]
[ROW][C]29[/C][C]6.46345784662409e-18[/C][C]1.29269156932482e-17[/C][C]1[/C][/ROW]
[ROW][C]30[/C][C]4.68157548142994e-19[/C][C]9.36315096285988e-19[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]2.66299796310929e-20[/C][C]5.32599592621857e-20[/C][C]1[/C][/ROW]
[ROW][C]32[/C][C]6.01400025491009e-21[/C][C]1.20280005098202e-20[/C][C]1[/C][/ROW]
[ROW][C]33[/C][C]9.21988750179663e-22[/C][C]1.84397750035933e-21[/C][C]1[/C][/ROW]
[ROW][C]34[/C][C]6.66867648635827e-23[/C][C]1.33373529727165e-22[/C][C]1[/C][/ROW]
[ROW][C]35[/C][C]6.05859010389347e-24[/C][C]1.21171802077869e-23[/C][C]1[/C][/ROW]
[ROW][C]36[/C][C]1.00018812086312e-23[/C][C]2.00037624172624e-23[/C][C]1[/C][/ROW]
[ROW][C]37[/C][C]4.46800910540943e-24[/C][C]8.93601821081885e-24[/C][C]1[/C][/ROW]
[ROW][C]38[/C][C]4.5179102494864e-25[/C][C]9.0358204989728e-25[/C][C]1[/C][/ROW]
[ROW][C]39[/C][C]1.44881481977027e-25[/C][C]2.89762963954054e-25[/C][C]1[/C][/ROW]
[ROW][C]40[/C][C]1.09293664982163e-26[/C][C]2.18587329964326e-26[/C][C]1[/C][/ROW]
[ROW][C]41[/C][C]1.084682195521e-27[/C][C]2.169364391042e-27[/C][C]1[/C][/ROW]
[ROW][C]42[/C][C]1.65741422021353e-28[/C][C]3.31482844042707e-28[/C][C]1[/C][/ROW]
[ROW][C]43[/C][C]2.44329183804013e-29[/C][C]4.88658367608025e-29[/C][C]1[/C][/ROW]
[ROW][C]44[/C][C]1.93189054515156e-30[/C][C]3.86378109030313e-30[/C][C]1[/C][/ROW]
[ROW][C]45[/C][C]2.41141386552598e-31[/C][C]4.82282773105196e-31[/C][C]1[/C][/ROW]
[ROW][C]46[/C][C]1.22590363722849e-29[/C][C]2.45180727445699e-29[/C][C]1[/C][/ROW]
[ROW][C]47[/C][C]9.52296967990819e-28[/C][C]1.90459393598164e-27[/C][C]1[/C][/ROW]
[ROW][C]48[/C][C]7.97862124067073e-27[/C][C]1.59572424813415e-26[/C][C]1[/C][/ROW]
[ROW][C]49[/C][C]3.78834009309972e-27[/C][C]7.57668018619943e-27[/C][C]1[/C][/ROW]
[ROW][C]50[/C][C]1.39137984559759e-27[/C][C]2.78275969119517e-27[/C][C]1[/C][/ROW]
[ROW][C]51[/C][C]4.24634709886184e-27[/C][C]8.49269419772368e-27[/C][C]1[/C][/ROW]
[ROW][C]52[/C][C]4.54987365499321e-27[/C][C]9.09974730998643e-27[/C][C]1[/C][/ROW]
[ROW][C]53[/C][C]1.10112142296804e-27[/C][C]2.20224284593608e-27[/C][C]1[/C][/ROW]
[ROW][C]54[/C][C]1.95388680609582e-28[/C][C]3.90777361219165e-28[/C][C]1[/C][/ROW]
[ROW][C]55[/C][C]3.28958351923392e-29[/C][C]6.57916703846784e-29[/C][C]1[/C][/ROW]
[ROW][C]56[/C][C]5.27826024929104e-30[/C][C]1.05565204985821e-29[/C][C]1[/C][/ROW]
[ROW][C]57[/C][C]1.38593215738203e-30[/C][C]2.77186431476405e-30[/C][C]1[/C][/ROW]
[ROW][C]58[/C][C]8.46146665130635e-31[/C][C]1.69229333026127e-30[/C][C]1[/C][/ROW]
[ROW][C]59[/C][C]8.76946741186815e-31[/C][C]1.75389348237363e-30[/C][C]1[/C][/ROW]
[ROW][C]60[/C][C]5.77992096581505e-31[/C][C]1.15598419316301e-30[/C][C]1[/C][/ROW]
[ROW][C]61[/C][C]3.04957186030895e-30[/C][C]6.0991437206179e-30[/C][C]1[/C][/ROW]
[ROW][C]62[/C][C]1.81019948184092e-29[/C][C]3.62039896368183e-29[/C][C]1[/C][/ROW]
[ROW][C]63[/C][C]1.77538972636352e-29[/C][C]3.55077945272705e-29[/C][C]1[/C][/ROW]
[ROW][C]64[/C][C]1.52094959721789e-29[/C][C]3.04189919443579e-29[/C][C]1[/C][/ROW]
[ROW][C]65[/C][C]1.32703562039428e-29[/C][C]2.65407124078855e-29[/C][C]1[/C][/ROW]
[ROW][C]66[/C][C]6.02014235154859e-30[/C][C]1.20402847030972e-29[/C][C]1[/C][/ROW]
[ROW][C]67[/C][C]1.63113584070522e-30[/C][C]3.26227168141045e-30[/C][C]1[/C][/ROW]
[ROW][C]68[/C][C]2.21653431391724e-30[/C][C]4.43306862783448e-30[/C][C]1[/C][/ROW]
[ROW][C]69[/C][C]5.01574569106198e-29[/C][C]1.0031491382124e-28[/C][C]1[/C][/ROW]
[ROW][C]70[/C][C]2.86718335390766e-27[/C][C]5.73436670781532e-27[/C][C]1[/C][/ROW]
[ROW][C]71[/C][C]1.70875508208778e-24[/C][C]3.41751016417557e-24[/C][C]1[/C][/ROW]
[ROW][C]72[/C][C]8.80695505498447e-23[/C][C]1.76139101099689e-22[/C][C]1[/C][/ROW]
[ROW][C]73[/C][C]2.80619980044442e-22[/C][C]5.61239960088885e-22[/C][C]1[/C][/ROW]
[ROW][C]74[/C][C]2.47397536341446e-22[/C][C]4.94795072682892e-22[/C][C]1[/C][/ROW]
[ROW][C]75[/C][C]7.95274735979367e-23[/C][C]1.59054947195873e-22[/C][C]1[/C][/ROW]
[ROW][C]76[/C][C]2.42277587868754e-23[/C][C]4.84555175737507e-23[/C][C]1[/C][/ROW]
[ROW][C]77[/C][C]1.21523873693825e-23[/C][C]2.43047747387651e-23[/C][C]1[/C][/ROW]
[ROW][C]78[/C][C]5.25610363216636e-24[/C][C]1.05122072643327e-23[/C][C]1[/C][/ROW]
[ROW][C]79[/C][C]1.54878636816674e-24[/C][C]3.09757273633348e-24[/C][C]1[/C][/ROW]
[ROW][C]80[/C][C]5.41565376428399e-25[/C][C]1.0831307528568e-24[/C][C]1[/C][/ROW]
[ROW][C]81[/C][C]2.30592491414802e-25[/C][C]4.61184982829604e-25[/C][C]1[/C][/ROW]
[ROW][C]82[/C][C]1.60730856687086e-25[/C][C]3.21461713374172e-25[/C][C]1[/C][/ROW]
[ROW][C]83[/C][C]1.53824009469052e-25[/C][C]3.07648018938103e-25[/C][C]1[/C][/ROW]
[ROW][C]84[/C][C]1.15221464647251e-25[/C][C]2.30442929294501e-25[/C][C]1[/C][/ROW]
[ROW][C]85[/C][C]5.56936009468782e-26[/C][C]1.11387201893756e-25[/C][C]1[/C][/ROW]
[ROW][C]86[/C][C]3.26496031654283e-26[/C][C]6.52992063308566e-26[/C][C]1[/C][/ROW]
[ROW][C]87[/C][C]9.88120054875662e-27[/C][C]1.97624010975132e-26[/C][C]1[/C][/ROW]
[ROW][C]88[/C][C]3.55566071808753e-27[/C][C]7.11132143617507e-27[/C][C]1[/C][/ROW]
[ROW][C]89[/C][C]1.44823385781613e-27[/C][C]2.89646771563227e-27[/C][C]1[/C][/ROW]
[ROW][C]90[/C][C]4.60682602962961e-28[/C][C]9.21365205925923e-28[/C][C]1[/C][/ROW]
[ROW][C]91[/C][C]1.57226273829323e-28[/C][C]3.14452547658645e-28[/C][C]1[/C][/ROW]
[ROW][C]92[/C][C]7.09546334645908e-29[/C][C]1.41909266929182e-28[/C][C]1[/C][/ROW]
[ROW][C]93[/C][C]2.52720287263699e-29[/C][C]5.05440574527398e-29[/C][C]1[/C][/ROW]
[ROW][C]94[/C][C]9.44013310985555e-30[/C][C]1.88802662197111e-29[/C][C]1[/C][/ROW]
[ROW][C]95[/C][C]4.28126148360831e-30[/C][C]8.56252296721662e-30[/C][C]1[/C][/ROW]
[ROW][C]96[/C][C]1.94688437767868e-30[/C][C]3.89376875535735e-30[/C][C]1[/C][/ROW]
[ROW][C]97[/C][C]6.99154638454904e-31[/C][C]1.39830927690981e-30[/C][C]1[/C][/ROW]
[ROW][C]98[/C][C]2.17181725886746e-31[/C][C]4.34363451773491e-31[/C][C]1[/C][/ROW]
[ROW][C]99[/C][C]1.2443330638278e-31[/C][C]2.4886661276556e-31[/C][C]1[/C][/ROW]
[ROW][C]100[/C][C]1.88358862530871e-30[/C][C]3.76717725061741e-30[/C][C]1[/C][/ROW]
[ROW][C]101[/C][C]1.30952946823155e-29[/C][C]2.61905893646311e-29[/C][C]1[/C][/ROW]
[ROW][C]102[/C][C]9.66329928054496e-29[/C][C]1.93265985610899e-28[/C][C]1[/C][/ROW]
[ROW][C]103[/C][C]5.21239278746204e-28[/C][C]1.04247855749241e-27[/C][C]1[/C][/ROW]
[ROW][C]104[/C][C]2.24888771975548e-27[/C][C]4.49777543951097e-27[/C][C]1[/C][/ROW]
[ROW][C]105[/C][C]5.06876752816756e-27[/C][C]1.01375350563351e-26[/C][C]1[/C][/ROW]
[ROW][C]106[/C][C]5.27270507279992e-27[/C][C]1.05454101455998e-26[/C][C]1[/C][/ROW]
[ROW][C]107[/C][C]3.54089621186159e-27[/C][C]7.08179242372317e-27[/C][C]1[/C][/ROW]
[ROW][C]108[/C][C]5.76522204424535e-27[/C][C]1.15304440884907e-26[/C][C]1[/C][/ROW]
[ROW][C]109[/C][C]1.03803406334808e-26[/C][C]2.07606812669616e-26[/C][C]1[/C][/ROW]
[ROW][C]110[/C][C]4.56905050861695e-26[/C][C]9.1381010172339e-26[/C][C]1[/C][/ROW]
[ROW][C]111[/C][C]4.23720300551471e-25[/C][C]8.47440601102942e-25[/C][C]1[/C][/ROW]
[ROW][C]112[/C][C]1.28098073925501e-23[/C][C]2.56196147851001e-23[/C][C]1[/C][/ROW]
[ROW][C]113[/C][C]1.20603530716541e-22[/C][C]2.41207061433081e-22[/C][C]1[/C][/ROW]
[ROW][C]114[/C][C]3.18770610576313e-22[/C][C]6.37541221152627e-22[/C][C]1[/C][/ROW]
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[ROW][C]116[/C][C]1.43349571038274e-21[/C][C]2.86699142076549e-21[/C][C]1[/C][/ROW]
[ROW][C]117[/C][C]4.88093895081311e-21[/C][C]9.76187790162621e-21[/C][C]1[/C][/ROW]
[ROW][C]118[/C][C]1.20464579781155e-20[/C][C]2.4092915956231e-20[/C][C]1[/C][/ROW]
[ROW][C]119[/C][C]2.82057063523931e-20[/C][C]5.64114127047862e-20[/C][C]1[/C][/ROW]
[ROW][C]120[/C][C]1.12688791523643e-19[/C][C]2.25377583047285e-19[/C][C]1[/C][/ROW]
[ROW][C]121[/C][C]6.38901085069769e-19[/C][C]1.27780217013954e-18[/C][C]1[/C][/ROW]
[ROW][C]122[/C][C]4.47704835249968e-18[/C][C]8.95409670499935e-18[/C][C]1[/C][/ROW]
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[ROW][C]124[/C][C]8.74255181158401e-17[/C][C]1.7485103623168e-16[/C][C]1[/C][/ROW]
[ROW][C]125[/C][C]8.32800194729515e-17[/C][C]1.66560038945903e-16[/C][C]1[/C][/ROW]
[ROW][C]126[/C][C]9.29719828391817e-17[/C][C]1.85943965678363e-16[/C][C]1[/C][/ROW]
[ROW][C]127[/C][C]9.37290969051479e-17[/C][C]1.87458193810296e-16[/C][C]1[/C][/ROW]
[ROW][C]128[/C][C]1.6239244909899e-16[/C][C]3.24784898197981e-16[/C][C]1[/C][/ROW]
[ROW][C]129[/C][C]1.8228224215089e-16[/C][C]3.64564484301781e-16[/C][C]1[/C][/ROW]
[ROW][C]130[/C][C]1.46087195314096e-16[/C][C]2.92174390628192e-16[/C][C]1[/C][/ROW]
[ROW][C]131[/C][C]1.45726058037315e-16[/C][C]2.91452116074631e-16[/C][C]1[/C][/ROW]
[ROW][C]132[/C][C]1.99156744171676e-16[/C][C]3.98313488343352e-16[/C][C]1[/C][/ROW]
[ROW][C]133[/C][C]2.48956777232331e-16[/C][C]4.97913554464662e-16[/C][C]1[/C][/ROW]
[ROW][C]134[/C][C]5.71609871699926e-16[/C][C]1.14321974339985e-15[/C][C]0.999999999999999[/C][/ROW]
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[ROW][C]157[/C][C]3.097486737956e-14[/C][C]6.19497347591199e-14[/C][C]0.999999999999969[/C][/ROW]
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[ROW][C]166[/C][C]2.08754986184207e-13[/C][C]4.17509972368414e-13[/C][C]0.999999999999791[/C][/ROW]
[ROW][C]167[/C][C]3.28509757281531e-13[/C][C]6.57019514563061e-13[/C][C]0.999999999999671[/C][/ROW]
[ROW][C]168[/C][C]5.16643326278392e-13[/C][C]1.03328665255678e-12[/C][C]0.999999999999483[/C][/ROW]
[ROW][C]169[/C][C]6.69092383019764e-13[/C][C]1.33818476603953e-12[/C][C]0.999999999999331[/C][/ROW]
[ROW][C]170[/C][C]7.80138098960848e-13[/C][C]1.5602761979217e-12[/C][C]0.99999999999922[/C][/ROW]
[ROW][C]171[/C][C]2.58170302968513e-12[/C][C]5.16340605937026e-12[/C][C]0.999999999997418[/C][/ROW]
[ROW][C]172[/C][C]4.64587097375975e-12[/C][C]9.29174194751949e-12[/C][C]0.999999999995354[/C][/ROW]
[ROW][C]173[/C][C]4.01448460643984e-12[/C][C]8.02896921287968e-12[/C][C]0.999999999995986[/C][/ROW]
[ROW][C]174[/C][C]4.6820471996658e-12[/C][C]9.3640943993316e-12[/C][C]0.999999999995318[/C][/ROW]
[ROW][C]175[/C][C]6.34369820285834e-12[/C][C]1.26873964057167e-11[/C][C]0.999999999993656[/C][/ROW]
[ROW][C]176[/C][C]8.97313520639762e-12[/C][C]1.79462704127952e-11[/C][C]0.999999999991027[/C][/ROW]
[ROW][C]177[/C][C]3.20117051896722e-11[/C][C]6.40234103793445e-11[/C][C]0.999999999967988[/C][/ROW]
[ROW][C]178[/C][C]1.26628469584834e-10[/C][C]2.53256939169668e-10[/C][C]0.999999999873372[/C][/ROW]
[ROW][C]179[/C][C]1.87827674406639e-10[/C][C]3.75655348813278e-10[/C][C]0.999999999812172[/C][/ROW]
[ROW][C]180[/C][C]3.0093349213711e-10[/C][C]6.01866984274221e-10[/C][C]0.999999999699066[/C][/ROW]
[ROW][C]181[/C][C]4.40308949579865e-10[/C][C]8.80617899159731e-10[/C][C]0.999999999559691[/C][/ROW]
[ROW][C]182[/C][C]4.55606072753072e-10[/C][C]9.11212145506144e-10[/C][C]0.999999999544394[/C][/ROW]
[ROW][C]183[/C][C]4.37944279477985e-10[/C][C]8.7588855895597e-10[/C][C]0.999999999562056[/C][/ROW]
[ROW][C]184[/C][C]5.02569717240619e-10[/C][C]1.00513943448124e-09[/C][C]0.99999999949743[/C][/ROW]
[ROW][C]185[/C][C]4.97971489332934e-10[/C][C]9.95942978665867e-10[/C][C]0.999999999502029[/C][/ROW]
[ROW][C]186[/C][C]4.7807631313665e-10[/C][C]9.56152626273301e-10[/C][C]0.999999999521924[/C][/ROW]
[ROW][C]187[/C][C]7.46682211771842e-10[/C][C]1.49336442354368e-09[/C][C]0.999999999253318[/C][/ROW]
[ROW][C]188[/C][C]9.90441863300615e-10[/C][C]1.98088372660123e-09[/C][C]0.999999999009558[/C][/ROW]
[ROW][C]189[/C][C]1.11980679649204e-09[/C][C]2.23961359298407e-09[/C][C]0.999999998880193[/C][/ROW]
[ROW][C]190[/C][C]1.44997721157066e-09[/C][C]2.89995442314132e-09[/C][C]0.999999998550023[/C][/ROW]
[ROW][C]191[/C][C]1.9582438880561e-09[/C][C]3.91648777611221e-09[/C][C]0.999999998041756[/C][/ROW]
[ROW][C]192[/C][C]3.27846726050602e-09[/C][C]6.55693452101203e-09[/C][C]0.999999996721533[/C][/ROW]
[ROW][C]193[/C][C]3.74065732788985e-09[/C][C]7.4813146557797e-09[/C][C]0.999999996259343[/C][/ROW]
[ROW][C]194[/C][C]3.62230527490511e-09[/C][C]7.24461054981021e-09[/C][C]0.999999996377695[/C][/ROW]
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[ROW][C]197[/C][C]4.29450985609474e-09[/C][C]8.58901971218947e-09[/C][C]0.99999999570549[/C][/ROW]
[ROW][C]198[/C][C]5.7317204606768e-09[/C][C]1.14634409213536e-08[/C][C]0.99999999426828[/C][/ROW]
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[ROW][C]201[/C][C]3.11374864922729e-08[/C][C]6.22749729845459e-08[/C][C]0.999999968862514[/C][/ROW]
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[ROW][C]203[/C][C]4.54246443226533e-08[/C][C]9.08492886453066e-08[/C][C]0.999999954575356[/C][/ROW]
[ROW][C]204[/C][C]5.99437379189498e-08[/C][C]1.198874758379e-07[/C][C]0.999999940056262[/C][/ROW]
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[ROW][C]208[/C][C]1.58445200395751e-07[/C][C]3.16890400791502e-07[/C][C]0.9999998415548[/C][/ROW]
[ROW][C]209[/C][C]1.35476765171705e-07[/C][C]2.7095353034341e-07[/C][C]0.999999864523235[/C][/ROW]
[ROW][C]210[/C][C]1.42888974062416e-07[/C][C]2.85777948124831e-07[/C][C]0.999999857111026[/C][/ROW]
[ROW][C]211[/C][C]1.30298907796078e-07[/C][C]2.60597815592157e-07[/C][C]0.999999869701092[/C][/ROW]
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[ROW][C]213[/C][C]9.48432318849111e-08[/C][C]1.89686463769822e-07[/C][C]0.999999905156768[/C][/ROW]
[ROW][C]214[/C][C]3.09908203884409e-07[/C][C]6.19816407768817e-07[/C][C]0.999999690091796[/C][/ROW]
[ROW][C]215[/C][C]6.58345434224698e-07[/C][C]1.3166908684494e-06[/C][C]0.999999341654566[/C][/ROW]
[ROW][C]216[/C][C]1.04748739900683e-06[/C][C]2.09497479801366e-06[/C][C]0.999998952512601[/C][/ROW]
[ROW][C]217[/C][C]1.19237985089407e-06[/C][C]2.38475970178813e-06[/C][C]0.999998807620149[/C][/ROW]
[ROW][C]218[/C][C]1.46219104664858e-06[/C][C]2.92438209329716e-06[/C][C]0.999998537808953[/C][/ROW]
[ROW][C]219[/C][C]1.08171267694382e-06[/C][C]2.16342535388765e-06[/C][C]0.999998918287323[/C][/ROW]
[ROW][C]220[/C][C]1.1700057500926e-06[/C][C]2.34001150018521e-06[/C][C]0.99999882999425[/C][/ROW]
[ROW][C]221[/C][C]1.1143912354418e-06[/C][C]2.22878247088359e-06[/C][C]0.999998885608765[/C][/ROW]
[ROW][C]222[/C][C]1.22495494946686e-06[/C][C]2.44990989893373e-06[/C][C]0.999998775045051[/C][/ROW]
[ROW][C]223[/C][C]1.08454940486789e-06[/C][C]2.16909880973578e-06[/C][C]0.999998915450595[/C][/ROW]
[ROW][C]224[/C][C]7.75484204228364e-07[/C][C]1.55096840845673e-06[/C][C]0.999999224515796[/C][/ROW]
[ROW][C]225[/C][C]1.39006311166178e-06[/C][C]2.78012622332356e-06[/C][C]0.999998609936888[/C][/ROW]
[ROW][C]226[/C][C]2.88221981689858e-06[/C][C]5.76443963379715e-06[/C][C]0.999997117780183[/C][/ROW]
[ROW][C]227[/C][C]8.3621416331067e-06[/C][C]1.67242832662134e-05[/C][C]0.999991637858367[/C][/ROW]
[ROW][C]228[/C][C]2.37698587096549e-05[/C][C]4.75397174193097e-05[/C][C]0.99997623014129[/C][/ROW]
[ROW][C]229[/C][C]1.82166106103699e-05[/C][C]3.64332212207399e-05[/C][C]0.99998178338939[/C][/ROW]
[ROW][C]230[/C][C]1.31823999968628e-05[/C][C]2.63647999937255e-05[/C][C]0.999986817600003[/C][/ROW]
[ROW][C]231[/C][C]1.07533062686594e-05[/C][C]2.15066125373188e-05[/C][C]0.999989246693731[/C][/ROW]
[ROW][C]232[/C][C]1.4773546099596e-05[/C][C]2.9547092199192e-05[/C][C]0.9999852264539[/C][/ROW]
[ROW][C]233[/C][C]3.29174959056859e-05[/C][C]6.58349918113718e-05[/C][C]0.999967082504094[/C][/ROW]
[ROW][C]234[/C][C]0.000104380426273943[/C][C]0.000208760852547886[/C][C]0.999895619573726[/C][/ROW]
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[ROW][C]319[/C][C]0.991453400942878[/C][C]0.0170931981142442[/C][C]0.0085465990571221[/C][/ROW]
[ROW][C]320[/C][C]0.994102762003025[/C][C]0.0117944759939496[/C][C]0.00589723799697478[/C][/ROW]
[ROW][C]321[/C][C]0.994300357488516[/C][C]0.0113992850229675[/C][C]0.00569964251148377[/C][/ROW]
[ROW][C]322[/C][C]0.992413801624512[/C][C]0.015172396750976[/C][C]0.00758619837548798[/C][/ROW]
[ROW][C]323[/C][C]0.99031707198776[/C][C]0.0193658560244809[/C][C]0.00968292801224043[/C][/ROW]
[ROW][C]324[/C][C]0.987653907256353[/C][C]0.0246921854872942[/C][C]0.0123460927436471[/C][/ROW]
[ROW][C]325[/C][C]0.984420242429[/C][C]0.0311595151420009[/C][C]0.0155797575710005[/C][/ROW]
[ROW][C]326[/C][C]0.981615547058914[/C][C]0.0367689058821712[/C][C]0.0183844529410856[/C][/ROW]
[ROW][C]327[/C][C]0.979898732196907[/C][C]0.0402025356061869[/C][C]0.0201012678030934[/C][/ROW]
[ROW][C]328[/C][C]0.978701154790712[/C][C]0.0425976904185753[/C][C]0.0212988452092877[/C][/ROW]
[ROW][C]329[/C][C]0.977400383176218[/C][C]0.0451992336475641[/C][C]0.022599616823782[/C][/ROW]
[ROW][C]330[/C][C]0.976578036783003[/C][C]0.046843926433993[/C][C]0.0234219632169965[/C][/ROW]
[ROW][C]331[/C][C]0.97732059199066[/C][C]0.0453588160186803[/C][C]0.0226794080093401[/C][/ROW]
[ROW][C]332[/C][C]0.974387210337736[/C][C]0.0512255793245271[/C][C]0.0256127896622636[/C][/ROW]
[ROW][C]333[/C][C]0.967413414194609[/C][C]0.0651731716107826[/C][C]0.0325865858053913[/C][/ROW]
[ROW][C]334[/C][C]0.959360555061242[/C][C]0.0812788898775154[/C][C]0.0406394449387577[/C][/ROW]
[ROW][C]335[/C][C]0.94966597098113[/C][C]0.10066805803774[/C][C]0.05033402901887[/C][/ROW]
[ROW][C]336[/C][C]0.938525653661095[/C][C]0.122948692677811[/C][C]0.0614743463389055[/C][/ROW]
[ROW][C]337[/C][C]0.930938751232556[/C][C]0.138122497534887[/C][C]0.0690612487674437[/C][/ROW]
[ROW][C]338[/C][C]0.923859584275176[/C][C]0.152280831449647[/C][C]0.0761404157248237[/C][/ROW]
[ROW][C]339[/C][C]0.927096567800048[/C][C]0.145806864399903[/C][C]0.0729034321999517[/C][/ROW]
[ROW][C]340[/C][C]0.935298344086889[/C][C]0.129403311826222[/C][C]0.0647016559131108[/C][/ROW]
[ROW][C]341[/C][C]0.975465175927452[/C][C]0.0490696481450964[/C][C]0.0245348240725482[/C][/ROW]
[ROW][C]342[/C][C]0.986133981398628[/C][C]0.0277320372027431[/C][C]0.0138660186013716[/C][/ROW]
[ROW][C]343[/C][C]0.994271692024863[/C][C]0.0114566159502742[/C][C]0.00572830797513712[/C][/ROW]
[ROW][C]344[/C][C]0.995825496398588[/C][C]0.00834900720282383[/C][C]0.00417450360141191[/C][/ROW]
[ROW][C]345[/C][C]0.997846749359068[/C][C]0.00430650128186408[/C][C]0.00215325064093204[/C][/ROW]
[ROW][C]346[/C][C]0.998249175815297[/C][C]0.0035016483694067[/C][C]0.00175082418470335[/C][/ROW]
[ROW][C]347[/C][C]0.998714885785559[/C][C]0.00257022842888194[/C][C]0.00128511421444097[/C][/ROW]
[ROW][C]348[/C][C]0.999012618564159[/C][C]0.00197476287168183[/C][C]0.000987381435840916[/C][/ROW]
[ROW][C]349[/C][C]0.999102717870398[/C][C]0.00179456425920378[/C][C]0.00089728212960189[/C][/ROW]
[ROW][C]350[/C][C]0.999308915991989[/C][C]0.00138216801602099[/C][C]0.000691084008010495[/C][/ROW]
[ROW][C]351[/C][C]0.999335339847119[/C][C]0.00132932030576156[/C][C]0.000664660152880778[/C][/ROW]
[ROW][C]352[/C][C]0.999619287221058[/C][C]0.000761425557883895[/C][C]0.000380712778941947[/C][/ROW]
[ROW][C]353[/C][C]0.999810782251155[/C][C]0.000378435497690645[/C][C]0.000189217748845323[/C][/ROW]
[ROW][C]354[/C][C]0.999918843666219[/C][C]0.000162312667561357[/C][C]8.11563337806787e-05[/C][/ROW]
[ROW][C]355[/C][C]0.999968888530263[/C][C]6.2222939473788e-05[/C][C]3.1111469736894e-05[/C][/ROW]
[ROW][C]356[/C][C]0.999981494275433[/C][C]3.70114491336011e-05[/C][C]1.85057245668006e-05[/C][/ROW]
[ROW][C]357[/C][C]0.999992765502998[/C][C]1.44689940045852e-05[/C][C]7.23449700229259e-06[/C][/ROW]
[ROW][C]358[/C][C]0.999998583147249[/C][C]2.83370550233998e-06[/C][C]1.41685275116999e-06[/C][/ROW]
[ROW][C]359[/C][C]0.999999273278283[/C][C]1.45344343344456e-06[/C][C]7.26721716722279e-07[/C][/ROW]
[ROW][C]360[/C][C]0.999999817352763[/C][C]3.65294474036538e-07[/C][C]1.82647237018269e-07[/C][/ROW]
[ROW][C]361[/C][C]0.999999889157481[/C][C]2.21685037675246e-07[/C][C]1.10842518837623e-07[/C][/ROW]
[ROW][C]362[/C][C]0.999999905336638[/C][C]1.89326723138941e-07[/C][C]9.46633615694707e-08[/C][/ROW]
[ROW][C]363[/C][C]0.99999986165971[/C][C]2.76680579217771e-07[/C][C]1.38340289608885e-07[/C][/ROW]
[ROW][C]364[/C][C]0.999999695798174[/C][C]6.08403651523112e-07[/C][C]3.04201825761556e-07[/C][/ROW]
[ROW][C]365[/C][C]0.999999079342213[/C][C]1.84131557463704e-06[/C][C]9.20657787318521e-07[/C][/ROW]
[ROW][C]366[/C][C]0.999997331156909[/C][C]5.33768618197531e-06[/C][C]2.66884309098765e-06[/C][/ROW]
[ROW][C]367[/C][C]0.999993920142124[/C][C]1.21597157512719e-05[/C][C]6.07985787563593e-06[/C][/ROW]
[ROW][C]368[/C][C]0.999984580403447[/C][C]3.0839193107061e-05[/C][C]1.54195965535305e-05[/C][/ROW]
[ROW][C]369[/C][C]0.99998026150602[/C][C]3.94769879599951e-05[/C][C]1.97384939799976e-05[/C][/ROW]
[ROW][C]370[/C][C]0.999967298736375[/C][C]6.54025272501454e-05[/C][C]3.27012636250727e-05[/C][/ROW]
[ROW][C]371[/C][C]0.999980417367437[/C][C]3.91652651264401e-05[/C][C]1.958263256322e-05[/C][/ROW]
[ROW][C]372[/C][C]0.999968831719755[/C][C]6.23365604891615e-05[/C][C]3.11682802445808e-05[/C][/ROW]
[ROW][C]373[/C][C]0.999964465014945[/C][C]7.10699701107731e-05[/C][C]3.55349850553866e-05[/C][/ROW]
[ROW][C]374[/C][C]0.999873742067709[/C][C]0.000252515864581719[/C][C]0.00012625793229086[/C][/ROW]
[ROW][C]375[/C][C]0.999583496890144[/C][C]0.000833006219712172[/C][C]0.000416503109856086[/C][/ROW]
[ROW][C]376[/C][C]0.998867741761347[/C][C]0.00226451647730554[/C][C]0.00113225823865277[/C][/ROW]
[ROW][C]377[/C][C]0.997021697458918[/C][C]0.00595660508216449[/C][C]0.00297830254108225[/C][/ROW]
[ROW][C]378[/C][C]0.996006491749182[/C][C]0.00798701650163636[/C][C]0.00399350825081818[/C][/ROW]
[ROW][C]379[/C][C]0.997788063803697[/C][C]0.00442387239260655[/C][C]0.00221193619630327[/C][/ROW]
[ROW][C]380[/C][C]0.99847974168852[/C][C]0.00304051662296052[/C][C]0.00152025831148026[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203059&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203059&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
160.0001123081395406410.0002246162790812830.999887691860459
173.9718282573689e-067.9436565147378e-060.999996028171743
181.40779331323821e-072.81558662647642e-070.999999859220669
194.45051778830979e-098.90103557661959e-090.999999995549482
201.35389122901162e-102.70778245802324e-100.999999999864611
213.73567767697685e-127.47135535395371e-120.999999999996264
222.96861477233514e-125.93722954467029e-120.999999999997031
231.91582054049889e-133.83164108099778e-130.999999999999808
241.07815442600333e-142.15630885200666e-140.999999999999989
255.24926430504169e-161.04985286100834e-150.999999999999999
261.22086619071408e-162.44173238142815e-161
274.37788695505992e-178.75577391011984e-171
281.09076125069699e-162.18152250139398e-161
296.46345784662409e-181.29269156932482e-171
304.68157548142994e-199.36315096285988e-191
312.66299796310929e-205.32599592621857e-201
326.01400025491009e-211.20280005098202e-201
339.21988750179663e-221.84397750035933e-211
346.66867648635827e-231.33373529727165e-221
356.05859010389347e-241.21171802077869e-231
361.00018812086312e-232.00037624172624e-231
374.46800910540943e-248.93601821081885e-241
384.5179102494864e-259.0358204989728e-251
391.44881481977027e-252.89762963954054e-251
401.09293664982163e-262.18587329964326e-261
411.084682195521e-272.169364391042e-271
421.65741422021353e-283.31482844042707e-281
432.44329183804013e-294.88658367608025e-291
441.93189054515156e-303.86378109030313e-301
452.41141386552598e-314.82282773105196e-311
461.22590363722849e-292.45180727445699e-291
479.52296967990819e-281.90459393598164e-271
487.97862124067073e-271.59572424813415e-261
493.78834009309972e-277.57668018619943e-271
501.39137984559759e-272.78275969119517e-271
514.24634709886184e-278.49269419772368e-271
524.54987365499321e-279.09974730998643e-271
531.10112142296804e-272.20224284593608e-271
541.95388680609582e-283.90777361219165e-281
553.28958351923392e-296.57916703846784e-291
565.27826024929104e-301.05565204985821e-291
571.38593215738203e-302.77186431476405e-301
588.46146665130635e-311.69229333026127e-301
598.76946741186815e-311.75389348237363e-301
605.77992096581505e-311.15598419316301e-301
613.04957186030895e-306.0991437206179e-301
621.81019948184092e-293.62039896368183e-291
631.77538972636352e-293.55077945272705e-291
641.52094959721789e-293.04189919443579e-291
651.32703562039428e-292.65407124078855e-291
666.02014235154859e-301.20402847030972e-291
671.63113584070522e-303.26227168141045e-301
682.21653431391724e-304.43306862783448e-301
695.01574569106198e-291.0031491382124e-281
702.86718335390766e-275.73436670781532e-271
711.70875508208778e-243.41751016417557e-241
728.80695505498447e-231.76139101099689e-221
732.80619980044442e-225.61239960088885e-221
742.47397536341446e-224.94795072682892e-221
757.95274735979367e-231.59054947195873e-221
762.42277587868754e-234.84555175737507e-231
771.21523873693825e-232.43047747387651e-231
785.25610363216636e-241.05122072643327e-231
791.54878636816674e-243.09757273633348e-241
805.41565376428399e-251.0831307528568e-241
812.30592491414802e-254.61184982829604e-251
821.60730856687086e-253.21461713374172e-251
831.53824009469052e-253.07648018938103e-251
841.15221464647251e-252.30442929294501e-251
855.56936009468782e-261.11387201893756e-251
863.26496031654283e-266.52992063308566e-261
879.88120054875662e-271.97624010975132e-261
883.55566071808753e-277.11132143617507e-271
891.44823385781613e-272.89646771563227e-271
904.60682602962961e-289.21365205925923e-281
911.57226273829323e-283.14452547658645e-281
927.09546334645908e-291.41909266929182e-281
932.52720287263699e-295.05440574527398e-291
949.44013310985555e-301.88802662197111e-291
954.28126148360831e-308.56252296721662e-301
961.94688437767868e-303.89376875535735e-301
976.99154638454904e-311.39830927690981e-301
982.17181725886746e-314.34363451773491e-311
991.2443330638278e-312.4886661276556e-311
1001.88358862530871e-303.76717725061741e-301
1011.30952946823155e-292.61905893646311e-291
1029.66329928054496e-291.93265985610899e-281
1035.21239278746204e-281.04247855749241e-271
1042.24888771975548e-274.49777543951097e-271
1055.06876752816756e-271.01375350563351e-261
1065.27270507279992e-271.05454101455998e-261
1073.54089621186159e-277.08179242372317e-271
1085.76522204424535e-271.15304440884907e-261
1091.03803406334808e-262.07606812669616e-261
1104.56905050861695e-269.1381010172339e-261
1114.23720300551471e-258.47440601102942e-251
1121.28098073925501e-232.56196147851001e-231
1131.20603530716541e-222.41207061433081e-221
1143.18770610576313e-226.37541221152627e-221
1154.67984313080109e-229.35968626160217e-221
1161.43349571038274e-212.86699142076549e-211
1174.88093895081311e-219.76187790162621e-211
1181.20464579781155e-202.4092915956231e-201
1192.82057063523931e-205.64114127047862e-201
1201.12688791523643e-192.25377583047285e-191
1216.38901085069769e-191.27780217013954e-181
1224.47704835249968e-188.95409670499935e-181
1236.45407108747148e-171.2908142174943e-161
1248.74255181158401e-171.7485103623168e-161
1258.32800194729515e-171.66560038945903e-161
1269.29719828391817e-171.85943965678363e-161
1279.37290969051479e-171.87458193810296e-161
1281.6239244909899e-163.24784898197981e-161
1291.8228224215089e-163.64564484301781e-161
1301.46087195314096e-162.92174390628192e-161
1311.45726058037315e-162.91452116074631e-161
1321.99156744171676e-163.98313488343352e-161
1332.48956777232331e-164.97913554464662e-161
1345.71609871699926e-161.14321974339985e-150.999999999999999
1359.67300081744729e-151.93460016348946e-140.99999999999999
1365.35114380062283e-141.07022876012457e-130.999999999999946
1372.24977321703278e-134.49954643406557e-130.999999999999775
1381.92279084747172e-133.84558169494344e-130.999999999999808
1391.14536909385955e-132.2907381877191e-130.999999999999885
1407.72858943731031e-141.54571788746206e-130.999999999999923
1416.00064354687612e-141.20012870937522e-130.99999999999994
1425.66030686360563e-141.13206137272113e-130.999999999999943
1436.16285114344958e-141.23257022868992e-130.999999999999938
1446.52993069324224e-141.30598613864845e-130.999999999999935
1455.97055025615854e-141.19411005123171e-130.99999999999994
1464.86010704932717e-149.72021409865433e-140.999999999999951
1473.7548346616545e-147.50966932330901e-140.999999999999962
1483.11506939503664e-146.23013879007329e-140.999999999999969
1492.09216156228307e-144.18432312456615e-140.999999999999979
1501.67012429548842e-143.34024859097685e-140.999999999999983
1511.35886066254399e-142.71772132508798e-140.999999999999986
1521.04737620950415e-142.09475241900831e-140.99999999999999
1531.091283087361e-142.18256617472199e-140.999999999999989
1541.1626969992463e-142.32539399849261e-140.999999999999988
1551.30627873756032e-142.61255747512064e-140.999999999999987
1561.53242972853457e-143.06485945706914e-140.999999999999985
1573.097486737956e-146.19497347591199e-140.999999999999969
1585.19092938366838e-141.03818587673368e-130.999999999999948
1594.17075311991128e-148.34150623982255e-140.999999999999958
1601.08717992560404e-132.17435985120807e-130.999999999999891
1619.24825599089237e-141.84965119817847e-130.999999999999908
1627.90004320359982e-141.58000864071996e-130.999999999999921
1637.61082642783998e-141.522165285568e-130.999999999999924
1649.73256512570045e-141.94651302514009e-130.999999999999903
1651.4829965778255e-132.96599315565099e-130.999999999999852
1662.08754986184207e-134.17509972368414e-130.999999999999791
1673.28509757281531e-136.57019514563061e-130.999999999999671
1685.16643326278392e-131.03328665255678e-120.999999999999483
1696.69092383019764e-131.33818476603953e-120.999999999999331
1707.80138098960848e-131.5602761979217e-120.99999999999922
1712.58170302968513e-125.16340605937026e-120.999999999997418
1724.64587097375975e-129.29174194751949e-120.999999999995354
1734.01448460643984e-128.02896921287968e-120.999999999995986
1744.6820471996658e-129.3640943993316e-120.999999999995318
1756.34369820285834e-121.26873964057167e-110.999999999993656
1768.97313520639762e-121.79462704127952e-110.999999999991027
1773.20117051896722e-116.40234103793445e-110.999999999967988
1781.26628469584834e-102.53256939169668e-100.999999999873372
1791.87827674406639e-103.75655348813278e-100.999999999812172
1803.0093349213711e-106.01866984274221e-100.999999999699066
1814.40308949579865e-108.80617899159731e-100.999999999559691
1824.55606072753072e-109.11212145506144e-100.999999999544394
1834.37944279477985e-108.7588855895597e-100.999999999562056
1845.02569717240619e-101.00513943448124e-090.99999999949743
1854.97971489332934e-109.95942978665867e-100.999999999502029
1864.7807631313665e-109.56152626273301e-100.999999999521924
1877.46682211771842e-101.49336442354368e-090.999999999253318
1889.90441863300615e-101.98088372660123e-090.999999999009558
1891.11980679649204e-092.23961359298407e-090.999999998880193
1901.44997721157066e-092.89995442314132e-090.999999998550023
1911.9582438880561e-093.91648777611221e-090.999999998041756
1923.27846726050602e-096.55693452101203e-090.999999996721533
1933.74065732788985e-097.4813146557797e-090.999999996259343
1943.62230527490511e-097.24461054981021e-090.999999996377695
1953.46863053116909e-096.93726106233819e-090.99999999653137
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1985.7317204606768e-091.14634409213536e-080.99999999426828
1999.35329840657193e-091.87065968131439e-080.999999990646702
2002.05741080285455e-084.11482160570909e-080.999999979425892
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3200.9941027620030250.01179447599394960.00589723799697478
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3230.990317071987760.01936585602448090.00968292801224043
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3250.9844202424290.03115951514200090.0155797575710005
3260.9816155470589140.03676890588217120.0183844529410856
3270.9798987321969070.04020253560618690.0201012678030934
3280.9787011547907120.04259769041857530.0212988452092877
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3310.977320591990660.04535881601868030.0226794080093401
3320.9743872103377360.05122557932452710.0256127896622636
3330.9674134141946090.06517317161078260.0325865858053913
3340.9593605550612420.08127888987751540.0406394449387577
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3360.9385256536610950.1229486926778110.0614743463389055
3370.9309387512325560.1381224975348870.0690612487674437
3380.9238595842751760.1522808314496470.0761404157248237
3390.9270965678000480.1458068643999030.0729034321999517
3400.9352983440868890.1294033118262220.0647016559131108
3410.9754651759274520.04906964814509640.0245348240725482
3420.9861339813986280.02773203720274310.0138660186013716
3430.9942716920248630.01145661595027420.00572830797513712
3440.9958254963985880.008349007202823830.00417450360141191
3450.9978467493590680.004306501281864080.00215325064093204
3460.9982491758152970.00350164836940670.00175082418470335
3470.9987148857855590.002570228428881940.00128511421444097
3480.9990126185641590.001974762871681830.000987381435840916
3490.9991027178703980.001794564259203780.00089728212960189
3500.9993089159919890.001382168016020990.000691084008010495
3510.9993353398471190.001329320305761560.000664660152880778
3520.9996192872210580.0007614255578838950.000380712778941947
3530.9998107822511550.0003784354976906450.000189217748845323
3540.9999188436662190.0001623126675613578.11563337806787e-05
3550.9999688885302636.2222939473788e-053.1111469736894e-05
3560.9999814942754333.70114491336011e-051.85057245668006e-05
3570.9999927655029981.44689940045852e-057.23449700229259e-06
3580.9999985831472492.83370550233998e-061.41685275116999e-06
3590.9999992732782831.45344343344456e-067.26721716722279e-07
3600.9999998173527633.65294474036538e-071.82647237018269e-07
3610.9999998891574812.21685037675246e-071.10842518837623e-07
3620.9999999053366381.89326723138941e-079.46633615694707e-08
3630.999999861659712.76680579217771e-071.38340289608885e-07
3640.9999996957981746.08403651523112e-073.04201825761556e-07
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3700.9999672987363756.54025272501454e-053.27012636250727e-05
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3800.998479741688520.003040516622960520.00152025831148026






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2600.712328767123288NOK
5% type I error level3050.835616438356164NOK
10% type I error level3230.884931506849315NOK

\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 & 260 & 0.712328767123288 & NOK \tabularnewline
5% type I error level & 305 & 0.835616438356164 & NOK \tabularnewline
10% type I error level & 323 & 0.884931506849315 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203059&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]260[/C][C]0.712328767123288[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]305[/C][C]0.835616438356164[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]323[/C][C]0.884931506849315[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203059&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203059&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2600.712328767123288NOK
5% type I error level3050.835616438356164NOK
10% type I error level3230.884931506849315NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Include Monthly Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Include Monthly Dummies ; par3 = Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}