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Author*The author of this computation has been verified*
R Software Module--
Title produced by softwareMultiple Regression
Date of computationSun, 09 Dec 2012 05:46:47 -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/09/t1355050018p6gjzzgdw6lnxl0.htm/, Retrieved Thu, 28 Mar 2024 16:10:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197792, Retrieved Thu, 28 Mar 2024 16:10:16 +0000
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Estimated Impact169
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataseries X:
1483509
8036554
4623093
5528662
4221032
8061847
7640066
2935533
8161548
2543967
13163450
3348436
3997440
2322911
2019457
3047748
5728767
2605173
5646743
13121544
3453409
1878333
4247362
23022552
7646203
9016602
3606568
3173510
17568772
10805045
31056269
15623385
6663443
35435745
2823250
5197089
4120632
8832767
3695374
8385805
3777904
5199532
5297275
14847382
5900158
4416718
3926429
4876884
2795297
3385527
3877941
3556729
4982836
2976325
2295026
2218752
4146062
3302091
3864505
5454794
1749836
6684048
2809918
4092664
5070470
9814477
6665318
3912554
6188129
3627991
3308767
3820332
4932979
5567917
5020814
3803273
3999984
4883104
13731747
47531824
8415570
22178158
61211654
18223748
17678085
49299580
25899948
34121754
9859231
29740892
21085212
43003866
59549247
18026465
4680597
5564728
11792347
10371624
3728446
5732978
4067638
2395508
5018801
22068888
7678580
15510095
6471239
14349204
35151574
8210488
5022664
13996871
12822431
14011552
20260980
23718976
45833049
30688420
16576062
14844405
16728286
43477680
57497427
24233726
24921208
9516725
27977239
21632046
22956809
9704324
19871149
5553842
5667858
4348188
10025042
10639796
8639184
10764378
12097733
3988414
4607102
7126895
6009625
21533237
5986771
5455310
1822874
3374062
2920748
2295942
6809829
3318281
13784645
7366577
1628637
4258976
7159779
8098401
6894240
3771246
3249726
3147380
4063037
9621916
5890158
2142901
3145007
1562168
3303103
5886910
3454270
6995348
6487869
12091976
3934625
3999749
3613526
4271706
4253390
5551591
4663041
2104104
5385399
6205877
7529500
17222705
6230913
6508275
4518884
4234991
5625388
5810139
6942187
3711188
4261281
1989945
5033342
7239565
11058795
7384772
3884771
3239201
2316403
4034947
3245271
2387251
2174886
3436080
3738956
1884730
1509144
42728366
3446317
4600683
2953615
3570060
2130208
2442943
4892020
3222192
3121617
3665542
5519432
4113468
1714614
3651985
2419548
2378854
2303949
2555534
1713005
1705960
6115046
3951044
3785568
4670530
2265100
1105643
2814152
3728673
2038949
2402919
2348814
2797822
902505
1331319
4204238
2212485
6797382
4532324
1778808
1890720
5463736
11368931
2040164
4276399
3714445
2068168
1003842
2858535
2355484
2719262
1897741
3945185
3799916
1017654
3052241
3932970
3598151
2296005
2202018
2461777
2452042
2185142
11968502
20395972
21756900
30024300
10811344
1819202
1276885
2946701
3587459
2832691
6674805
3868362
4302909
23265229
22348002
11883953
6634979
2935493
3425669
1171611
6875879
19451908
13885933
7643317
10797966
7297445
8739736
12455537
24291181
4215150
28652176
6851172
3746871
7327861
16829710
13778594
6463717
8956867
21204915
16115855
2536113
16645717
17003730
15969006
31020427
23798897
20770321
44410402
27037491
29627771
18189792
4654610
12307201
15300578
10623864
6880178
29947357
18611399
42432604
20208278
14004392
25737765
16735738
22450825
6880840
8510379
8182481
10948683
4805277
2589229
5658407
12862611
5666188
6875556
7098766
36083309
10200330
7784976




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time15 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 15 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197792&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]15 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197792&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197792&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time15 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 9395186.10552913 -576258.714617189M1[t] + 1548021.40761659M2[t] -1825170.50348296M3[t] -2504009.61458251M4[t] -2171238.11425717M5[t] -2466677.87133373M6[t] + 163424.337106949M7[t] + 3265090.26968556M8[t] + 1932905.27122969M9[t] + 438612.203808296M10[t] -1013150.17395792M11[t] + 2340.37776621746t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Y[t] =  +  9395186.10552913 -576258.714617189M1[t] +  1548021.40761659M2[t] -1825170.50348296M3[t] -2504009.61458251M4[t] -2171238.11425717M5[t] -2466677.87133373M6[t] +  163424.337106949M7[t] +  3265090.26968556M8[t] +  1932905.27122969M9[t] +  438612.203808296M10[t] -1013150.17395792M11[t] +  2340.37776621746t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197792&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Y[t] =  +  9395186.10552913 -576258.714617189M1[t] +  1548021.40761659M2[t] -1825170.50348296M3[t] -2504009.61458251M4[t] -2171238.11425717M5[t] -2466677.87133373M6[t] +  163424.337106949M7[t] +  3265090.26968556M8[t] +  1932905.27122969M9[t] +  438612.203808296M10[t] -1013150.17395792M11[t] +  2340.37776621746t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197792&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197792&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 9395186.10552913 -576258.714617189M1[t] + 1548021.40761659M2[t] -1825170.50348296M3[t] -2504009.61458251M4[t] -2171238.11425717M5[t] -2466677.87133373M6[t] + 163424.337106949M7[t] + 3265090.26968556M8[t] + 1932905.27122969M9[t] + 438612.203808296M10[t] -1013150.17395792M11[t] + 2340.37776621746t + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)9395186.105529132151203.1222934.36741.7e-058e-06
M1-576258.7146171892689189.4391-0.21430.8304520.415226
M21548021.407616592689140.3278130.57570.5652290.282615
M3-1825170.503482962689102.129526-0.67870.4977730.248886
M4-2504009.614582512689074.844703-0.93120.3524240.176212
M5-2171238.114257172712010.993663-0.80060.4239240.211962
M6-2466677.871333732711940.651816-0.90960.36370.18185
M7163424.3371069492711881.1303660.06030.9519820.475991
M83265090.269685562711832.4300261.2040.2294230.114712
M91932905.271229692711794.5513790.71280.4764740.238237
M10438612.2038082962711767.4948790.16170.8716040.435802
M11-1013150.173957922711751.260849-0.37360.7089250.354462
t2340.377766217465417.4275740.4320.6660090.333005

\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) & 9395186.10552913 & 2151203.122293 & 4.3674 & 1.7e-05 & 8e-06 \tabularnewline
M1 & -576258.714617189 & 2689189.4391 & -0.2143 & 0.830452 & 0.415226 \tabularnewline
M2 & 1548021.40761659 & 2689140.327813 & 0.5757 & 0.565229 & 0.282615 \tabularnewline
M3 & -1825170.50348296 & 2689102.129526 & -0.6787 & 0.497773 & 0.248886 \tabularnewline
M4 & -2504009.61458251 & 2689074.844703 & -0.9312 & 0.352424 & 0.176212 \tabularnewline
M5 & -2171238.11425717 & 2712010.993663 & -0.8006 & 0.423924 & 0.211962 \tabularnewline
M6 & -2466677.87133373 & 2711940.651816 & -0.9096 & 0.3637 & 0.18185 \tabularnewline
M7 & 163424.337106949 & 2711881.130366 & 0.0603 & 0.951982 & 0.475991 \tabularnewline
M8 & 3265090.26968556 & 2711832.430026 & 1.204 & 0.229423 & 0.114712 \tabularnewline
M9 & 1932905.27122969 & 2711794.551379 & 0.7128 & 0.476474 & 0.238237 \tabularnewline
M10 & 438612.203808296 & 2711767.494879 & 0.1617 & 0.871604 & 0.435802 \tabularnewline
M11 & -1013150.17395792 & 2711751.260849 & -0.3736 & 0.708925 & 0.354462 \tabularnewline
t & 2340.37776621746 & 5417.427574 & 0.432 & 0.666009 & 0.333005 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197792&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]9395186.10552913[/C][C]2151203.122293[/C][C]4.3674[/C][C]1.7e-05[/C][C]8e-06[/C][/ROW]
[ROW][C]M1[/C][C]-576258.714617189[/C][C]2689189.4391[/C][C]-0.2143[/C][C]0.830452[/C][C]0.415226[/C][/ROW]
[ROW][C]M2[/C][C]1548021.40761659[/C][C]2689140.327813[/C][C]0.5757[/C][C]0.565229[/C][C]0.282615[/C][/ROW]
[ROW][C]M3[/C][C]-1825170.50348296[/C][C]2689102.129526[/C][C]-0.6787[/C][C]0.497773[/C][C]0.248886[/C][/ROW]
[ROW][C]M4[/C][C]-2504009.61458251[/C][C]2689074.844703[/C][C]-0.9312[/C][C]0.352424[/C][C]0.176212[/C][/ROW]
[ROW][C]M5[/C][C]-2171238.11425717[/C][C]2712010.993663[/C][C]-0.8006[/C][C]0.423924[/C][C]0.211962[/C][/ROW]
[ROW][C]M6[/C][C]-2466677.87133373[/C][C]2711940.651816[/C][C]-0.9096[/C][C]0.3637[/C][C]0.18185[/C][/ROW]
[ROW][C]M7[/C][C]163424.337106949[/C][C]2711881.130366[/C][C]0.0603[/C][C]0.951982[/C][C]0.475991[/C][/ROW]
[ROW][C]M8[/C][C]3265090.26968556[/C][C]2711832.430026[/C][C]1.204[/C][C]0.229423[/C][C]0.114712[/C][/ROW]
[ROW][C]M9[/C][C]1932905.27122969[/C][C]2711794.551379[/C][C]0.7128[/C][C]0.476474[/C][C]0.238237[/C][/ROW]
[ROW][C]M10[/C][C]438612.203808296[/C][C]2711767.494879[/C][C]0.1617[/C][C]0.871604[/C][C]0.435802[/C][/ROW]
[ROW][C]M11[/C][C]-1013150.17395792[/C][C]2711751.260849[/C][C]-0.3736[/C][C]0.708925[/C][C]0.354462[/C][/ROW]
[ROW][C]t[/C][C]2340.37776621746[/C][C]5417.427574[/C][C]0.432[/C][C]0.666009[/C][C]0.333005[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197792&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197792&T=2

As an alternative you can also use a 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)9395186.105529132151203.1222934.36741.7e-058e-06
M1-576258.7146171892689189.4391-0.21430.8304520.415226
M21548021.407616592689140.3278130.57570.5652290.282615
M3-1825170.503482962689102.129526-0.67870.4977730.248886
M4-2504009.614582512689074.844703-0.93120.3524240.176212
M5-2171238.114257172712010.993663-0.80060.4239240.211962
M6-2466677.871333732711940.651816-0.90960.36370.18185
M7163424.3371069492711881.1303660.06030.9519820.475991
M83265090.269685562711832.4300261.2040.2294230.114712
M91932905.271229692711794.5513790.71280.4764740.238237
M10438612.2038082962711767.4948790.16170.8716040.435802
M11-1013150.173957922711751.260849-0.37360.7089250.354462
t2340.377766217465417.4275740.4320.6660090.333005







Multiple Linear Regression - Regression Statistics
Multiple R0.174187165841593
R-squared0.0303411687439267
Adjusted R-squared-0.00398303767221764
F-TEST (value)0.883958346365611
F-TEST (DF numerator)12
F-TEST (DF denominator)339
p-value0.563641923841921
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation10326020.5552214
Sum Squared Residuals36146451471823480

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.174187165841593 \tabularnewline
R-squared & 0.0303411687439267 \tabularnewline
Adjusted R-squared & -0.00398303767221764 \tabularnewline
F-TEST (value) & 0.883958346365611 \tabularnewline
F-TEST (DF numerator) & 12 \tabularnewline
F-TEST (DF denominator) & 339 \tabularnewline
p-value & 0.563641923841921 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 10326020.5552214 \tabularnewline
Sum Squared Residuals & 36146451471823480 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197792&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.174187165841593[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0303411687439267[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]-0.00398303767221764[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]0.883958346365611[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]12[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]339[/C][/ROW]
[ROW][C]p-value[/C][C]0.563641923841921[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]10326020.5552214[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]36146451471823480[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197792&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197792&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.174187165841593
R-squared0.0303411687439267
Adjusted R-squared-0.00398303767221764
F-TEST (value)0.883958346365611
F-TEST (DF numerator)12
F-TEST (DF denominator)339
p-value0.563641923841921
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation10326020.5552214
Sum Squared Residuals36146451471823480







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
114835098821267.76867813-7337758.76867813
2803655410947888.2686782-2911334.26867816
346230937577036.73534483-2953943.73534482
455286626900538.0020115-1371876.0020115
542210327235649.88010305-3014617.88010305
680618476942550.500792711119296.49920729
776400669574993.08699961-1934927.08699961
8293553312678999.3973444-9743466.39734443
9816154811349154.7766548-3187606.77665477
1025439679857202.0869996-7313235.0869996
11131634508407780.086999614755669.91300039
1233484369423270.63872374-6074834.63872374
1339974408849352.30187277-4851912.30187277
14232291110975972.8018728-8653061.80187277
1520194577605121.26853944-5585664.26853944
1630477486928622.5352061-3880874.5352061
1757287677263734.41329766-1534967.41329766
1826051736970635.03398732-4365462.03398732
1956467439603077.62019421-3956334.62019421
201312154412707083.930539414460.06946096
21345340911377239.3098494-7923830.30984939
2218783339885286.62019422-8006953.62019422
2342473628435864.62019421-4188502.62019421
24230225529451355.1719183513571196.8280816
2576462038877436.83506738-1231233.83506738
26901660211004057.3350674-1987455.33506738
2736065687633205.80173405-4026637.80173405
2831735106956707.06840071-3783197.06840071
29175687727291818.9464922710276953.0535077
30108050456998719.567181933806325.43281807
31310562699631162.1533888221425106.8466112
321562338512735168.46373372888216.53626635
33666344311405323.843044-4741880.84304399
34354357459913371.1533888125522373.8466112
3528232508463949.15338882-5640699.15338883
3651970899479439.70511296-4282350.70511296
3741206328905521.36826199-4784889.36826199
38883276711032141.868262-2199374.86826199
3936953747661290.33492866-3965916.33492866
4083858056984791.601595321401013.39840468
4137779047319903.47968688-3541999.47968688
4251995327026804.10037654-1827272.10037654
4352972759659246.68658343-4361971.68658343
441484738212763252.99692832084129.00307174
45590015811433408.3762386-5533250.37623861
4644167189941455.68658343-5524737.68658343
4739264298492033.68658343-4565604.68658343
4848768849507524.23830757-4630640.23830757
4927952978933605.9014566-6138308.9014566
50338552711060226.4014566-7674699.4014566
5138779417689374.86812327-3811433.86812327
5235567297012876.13478993-3456147.13478993
5349828367347988.01288149-2365152.01288149
5429763257054888.63357115-4078563.63357115
5522950269687331.21977805-7392305.21977805
56221875212791337.5301229-10572585.5301229
57414606211461492.9094332-7315430.90943322
5833020919969540.21977804-6667449.21977804
5938645058520118.21977804-4655613.21977804
6054547949535608.77150218-4080814.77150218
6117498368961690.43465121-7211854.43465121
62668404811088310.9346512-4404262.93465121
6328099187717459.40131788-4907541.40131788
6440926647040960.66798454-2948296.66798454
6550704707376072.5460761-2305602.5460761
6698144777082973.166765762731503.83323424
6766653189715415.75297265-3050097.75297265
68391255412819422.0633175-8906868.06331748
69618812911489577.4426278-5301448.44262782
7036279919997624.75297265-6369633.75297265
7133087678548202.75297265-5239435.75297265
7238203329563693.30469679-5743361.30469679
7349329798989774.96784582-4056795.96784582
74556791711116395.4678458-5548478.46784582
7550208147745543.93451249-2724729.93451249
7638032737069045.20117915-3265772.20117915
7739999847404157.07927071-3404173.07927071
7848831047111057.69996036-2227953.69996036
79137317479743500.286167263988246.71383274
804753182412847506.596512134684317.4034879
81841557011517661.9758224-3102091.97582243
822217815810025709.286167312152448.7138327
83612116548576287.2861672752635366.7138327
84182237489591777.83789148631970.1621086
85176780859017859.501040438660225.49895957
864929958011144480.001040438155099.9989596
87258999487773628.467707118126319.5322929
88341217547097129.7343737527024624.2656262
8998592317432241.612465322426989.38753468
90297408927139142.2331549722601749.766845
91210852129771584.8193618711313627.1806381
924300386612875591.129706730128274.8702933
935954924711545746.509017148003500.4909829
941802646510053793.81936197972671.18063813
9546805978604371.81936187-3923774.81936187
9655647289619862.37108601-4055134.37108601
97117923479045944.034235042746402.96576496
981037162411172564.534235-800940.534235037
9937284467801713.0009017-4073267.00090171
10057329787125214.26756837-1392236.26756837
10140676387460326.14565993-3392688.14565993
10223955087167226.76634959-4771718.76634959
10350188019799669.35255648-4780868.35255648
1042206888812903675.66290139165212.33709869
105767858011573831.0422117-3895251.04221165
1061551009510081878.35255655428216.64744352
10764712398632456.35255648-2161217.35255648
108143492049647946.904280624701257.09571938
109351515749074028.5674296526077545.4325703
110821048811200649.0674296-2990161.06742965
11150226647829797.53409631-2807133.53409631
112139968717153298.800762986843572.19923702
113128224317488410.678854545334020.32114546
114140115527195311.29954426816240.7004558
115202609809827753.8857510910433226.1142489
1162371897612931760.196095910787215.8039041
1174583304911601915.575406334231133.4245937
1183068842010109962.885751120578457.1142489
119165760628660540.885751097915521.11424891
120148444059676031.437475235168373.56252477
121167282869102113.100624267626172.89937574
1224347768011228733.600624332248946.3993757
123574974277857882.0672909249639544.9327091
124242337267181383.3339575917052342.6660424
125249212087516495.2120491517404712.7879508
12695167257223395.83273882293329.1672612
127279772399855838.4189456918121400.5810543
1282163204612959844.72929058672201.27070947
1292295680911630000.108600911326808.8913991
130970432410138047.4189457-433723.4189457
131198711498688625.418945711182523.5810543
13255538429704115.97066984-4150273.97066984
13356678589130197.63381887-3462339.63381887
134434818811256818.1338189-6908630.13381886
135100250427885966.600485532139075.39951447
136106397967209467.86715223430328.1328478
13786391847544579.745243761094604.25475624
138107643787251480.365933413512897.63406659
139120977339883922.952140312213810.04785969
140398841412987929.2624851-8999515.26248514
141460710211658084.6417955-7050982.64179548
142712689510166131.9521403-3039236.95214031
14360096258716709.95214031-2707084.95214031
144215332379732200.5038644511801036.4961356
14559867719158282.16701348-3171511.16701348
146545531011284902.6670135-5829592.66701347
14718228747914051.13368014-6091177.13368014
14833740627237552.40034681-3863490.40034681
14929207487572664.27843837-4651916.27843837
15022959427279564.89912802-4983622.89912802
15168098299912007.48533492-3102178.48533492
152331828113016013.7956797-9697732.79567975
1531378464511686169.17499012098475.82500991
154736657710194216.4853349-2827639.48533492
15516286378744794.48533492-7116157.48533492
15642589769760285.03705906-5501309.03705906
15771597799186366.70020809-2026587.70020809
158809840111312987.2002081-3214586.20020808
15968942407942135.66687475-1047895.66687475
16037712467265636.93354142-3494390.93354142
16132497267600748.81163298-4351022.81163298
16231473807307649.43232263-4160269.43232263
16340630379940092.01852953-5877055.01852953
164962191613044098.3288744-3422182.32887436
165589015811714253.7081847-5824095.7081847
166214290110222301.0185295-8079400.01852953
16731450078772879.01852953-5627872.01852953
16815621689788369.57025367-8226201.57025367
16933031039214451.2334027-5911348.2334027
170588691011341071.7334027-5454161.73340269
17134542707970220.20006936-4515950.20006936
17269953487293721.46673603-298373.466736029
17364878697628833.34482759-1140964.34482759
174120919767335733.965517244756242.03448276
17539346259968176.55172414-6033551.55172414
176399974913072182.862069-9072433.86206897
177361352611742338.2413793-8128812.24137931
178427170610250385.5517241-5978679.55172414
17942533908800963.55172414-4547573.55172414
18055515919816454.10344828-4264863.10344828
18146630419242535.7665973-4579494.76659731
182210410411369156.2665973-9265052.26659731
18353853997998304.73326397-2612905.73326397
18462058777321805.99993064-1115928.99993064
18575295007656917.8780222-127417.878022195
186172227057363818.498711859858886.50128815
18762309139996261.08491875-3765348.08491875
188650827513100267.3952636-6591992.39526358
189451888411770422.7745739-7251538.77457392
190423499110278470.0849187-6043479.08491875
19156253888829048.08491874-3203660.08491875
19258101399844538.63664288-4034399.63664289
19369421879270620.29979192-2328433.29979191
194371118811397240.7997919-7686052.79979191
19542612818026389.26645858-3765108.26645858
19619899457349890.53312525-5359945.53312525
19750333427685002.4112168-2651660.4112168
19872395657391903.03190646-152338.03190646
1991105879510024345.61811341034449.38188664
200738477213128351.9284582-5743579.92845818
201388477111798507.3077685-7913736.30776853
202323920110306554.6181134-7067353.61811336
20323164038857132.61811336-6540729.61811336
20440349479872623.1698375-5837676.1698375
20532452719298704.83298652-6053433.83298652
206238725111425325.3329865-9038074.33298653
20721748868054473.79965319-5879587.79965319
20834360807377975.06631986-3941895.06631986
20937389567713086.94441141-3974130.94441141
21018847307419987.56510107-5535257.56510107
211150914410052430.151308-8543286.15130797
2124272836613156436.461652829571929.5383472
213344631711826591.8409631-8380274.84096314
214460068310334639.151308-5733956.15130797
21529536158885217.15130797-5931602.15130797
21635700609900707.70303211-6330647.70303211
21721302089326789.36618114-7196581.36618113
218244294311453409.8661811-9010466.86618114
21948920208082558.3328478-3190538.3328478
22032221927406059.59951447-4183867.59951447
22131216177741171.47760602-4619554.47760602
22236655427448072.09829568-3782530.09829568
223551943210080514.6845026-4561082.68450258
224411346813184520.9948474-9071052.9948474
225171461411854676.3741577-10140062.3741577
226365198510362723.6845026-6710738.68450258
22724195488913301.68450258-6493753.68450258
22823788549928792.23622672-7549938.23622672
22923039499354873.89937574-7050924.89937574
230255553411481494.3993757-8925960.39937574
23117130058110642.86604241-6397637.86604241
23217059607434144.13270908-5728184.13270908
23361150467769256.01080063-1654210.01080063
23439510447476156.63149029-3525112.63149029
235378556810108599.2176972-6323031.21769719
236467053013212605.528042-8542075.52804201
237226510011882760.9073524-9617660.90735236
238110564310390808.2176972-9285165.21769719
23928141528941386.21769719-6127234.21769719
24037286739956876.76942133-6228203.76942133
24120389499382958.43257035-7344009.43257035
242240291911509578.9325704-9106659.93257036
24323488148138727.39923702-5789913.39923702
24427978227462228.66590369-4664406.66590369
2459025057797340.54399525-6894835.54399525
24613313197504241.1646849-6172922.1646849
247420423810136683.7508918-5932445.7508918
248221248513240690.0612366-11028205.0612366
249679738211910845.440547-5113463.44054697
250453232410418892.7508918-5886568.7508918
25117788088969470.7508918-7190662.7508918
25218907209984961.30261594-8094241.30261594
25354637369411042.96576496-3947306.96576496
2541136893111537663.465765-168732.465764962
25520401648166811.93243163-6126647.93243163
25642763997490313.19909829-3213914.1990983
25737144457825425.07718985-4110980.07718985
25820681687532325.69787951-5464157.69787951
259100384210164768.2840864-9160926.28408641
260285853513268774.5944312-10410239.5944312
261235548411938929.9737416-9583445.97374158
262271926210446977.2840864-7727715.28408641
26318977418997555.28408641-7099814.28408641
264394518510013045.8358105-6067860.83581055
26537999169439127.49895957-5639211.49895957
266101765411565747.9989596-10548093.9989596
26730522418194896.46562624-5142655.46562624
26839329707518397.7322929-3585427.7322929
26935981517853509.61038446-4255358.61038446
27022960057560410.23107412-5264405.23107412
271220201810192852.817281-7990834.81728102
272246177713296859.1276258-10835082.1276258
273245204211967014.5069362-9514972.50693619
274218514210475061.817281-8289919.81728102
275119685029025639.817281012942862.18271899
2762039597210041130.369005210354841.6309948
277217569009467212.0321541812289687.9678458
2783002430011593832.532154218430467.4678458
279108113448222980.998820852588363.00117915
28018192027546482.26548752-5727280.26548752
28112768857881594.14357908-6604709.14357908
28229467017588494.76426873-4641793.76426873
283358745910220937.3504756-6633478.35047563
284283269113324943.6608205-10492252.6608205
285667480511995099.0401308-5320294.0401308
286386836210503146.3504756-6634784.35047563
28743029099053724.35047562-4750815.35047562
2882326522910069214.902199813196014.0978002
289223480029495296.5653487912852705.4346512
2901188395311621917.0653488262035.934651209
29166349798251065.53201546-1616086.53201546
29229354937574566.79868213-4639073.79868213
29334256697909678.67677368-4484009.67677368
29411716117616579.29746334-6444968.29746334
295687587910249021.8836702-3373142.88367024
2961945190813353028.19401516098879.80598494
2971388593312023183.57332541862749.42667459
298764331710531230.8836702-2887913.88367023
299107979669081808.883670231716157.11632977
300729744510097299.4353944-2799854.43539437
30187397369523381.0985434-783645.098543401
3021245553711650001.5985434805535.4014566
303242911818279150.0652100716012030.9347899
30442151507602651.33187673-3387501.33187673
305286521767937763.2099682920714412.7900317
30668511727644663.83065795-793491.830657947
307374687110277106.4168648-6530235.41686484
308732786113381112.7272097-6053251.72720967
3091682971012051268.106524778441.89347998
3101377859410559315.41686483219278.58313516
31164637179109893.41686484-2646176.41686484
312895686710125383.968589-1168516.96858898
313212049159551465.6317380111653449.368262
3141611585511678086.1317384437768.86826199
31525361138307234.59840468-5771121.59840468
316166457177630735.865071349014981.13492866
317170037307965847.74316299037882.2568371
318159690067672748.363852568296257.63614744
3193102042710305190.950059420715236.0499406
3202379889713409197.260404310389699.7395957
3212077032112079352.63971468690968.36028538
3224441040210587399.950059533823002.0499405
323270374919137977.9500594417899513.0499406
3242962777110153468.501783619474302.4982164
325181897929579550.164932628610241.83506738
326465461011706170.6649326-7051560.66493262
327123072018335319.131599293971881.86840071
328153005787658820.398265967641757.60173404
329106238647993932.276357512629931.72364249
33068801787700832.89704717-820654.897047166
3312994735710333275.483254119614081.5167459
3321861139913437281.79359895174117.20640111
3334243260412107437.172909230325166.8270908
3342020827810615484.48325419592793.51674594
335140043929166062.483254064838329.51674594
3362573776510181553.034978215556211.9650218
337167357389607634.698127237128103.30187277
3382245082511734255.198127210716569.8018728
33968808408363403.6647939-1482563.6647939
34085103797686904.93146056823474.068539438
34181824818022016.80955212160464.19044788
342109486837728917.430241773219765.56975822
343480527710361360.0164487-5556083.01644867
344258922913465366.3267935-10876137.3267935
345565840712135521.7061038-6477114.70610384
3461286261110643569.01644872219041.98355133
34756661889194147.01644867-3527959.01644867
348687555610209637.5681728-3334081.56817281
34970987669635719.23132184-2536953.23132184
3503608330911762339.731321824320969.2686782
351102003308391488.197988511808841.80201149
35277849767714989.4646551769986.5353448281

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1483509 & 8821267.76867813 & -7337758.76867813 \tabularnewline
2 & 8036554 & 10947888.2686782 & -2911334.26867816 \tabularnewline
3 & 4623093 & 7577036.73534483 & -2953943.73534482 \tabularnewline
4 & 5528662 & 6900538.0020115 & -1371876.0020115 \tabularnewline
5 & 4221032 & 7235649.88010305 & -3014617.88010305 \tabularnewline
6 & 8061847 & 6942550.50079271 & 1119296.49920729 \tabularnewline
7 & 7640066 & 9574993.08699961 & -1934927.08699961 \tabularnewline
8 & 2935533 & 12678999.3973444 & -9743466.39734443 \tabularnewline
9 & 8161548 & 11349154.7766548 & -3187606.77665477 \tabularnewline
10 & 2543967 & 9857202.0869996 & -7313235.0869996 \tabularnewline
11 & 13163450 & 8407780.08699961 & 4755669.91300039 \tabularnewline
12 & 3348436 & 9423270.63872374 & -6074834.63872374 \tabularnewline
13 & 3997440 & 8849352.30187277 & -4851912.30187277 \tabularnewline
14 & 2322911 & 10975972.8018728 & -8653061.80187277 \tabularnewline
15 & 2019457 & 7605121.26853944 & -5585664.26853944 \tabularnewline
16 & 3047748 & 6928622.5352061 & -3880874.5352061 \tabularnewline
17 & 5728767 & 7263734.41329766 & -1534967.41329766 \tabularnewline
18 & 2605173 & 6970635.03398732 & -4365462.03398732 \tabularnewline
19 & 5646743 & 9603077.62019421 & -3956334.62019421 \tabularnewline
20 & 13121544 & 12707083.930539 & 414460.06946096 \tabularnewline
21 & 3453409 & 11377239.3098494 & -7923830.30984939 \tabularnewline
22 & 1878333 & 9885286.62019422 & -8006953.62019422 \tabularnewline
23 & 4247362 & 8435864.62019421 & -4188502.62019421 \tabularnewline
24 & 23022552 & 9451355.17191835 & 13571196.8280816 \tabularnewline
25 & 7646203 & 8877436.83506738 & -1231233.83506738 \tabularnewline
26 & 9016602 & 11004057.3350674 & -1987455.33506738 \tabularnewline
27 & 3606568 & 7633205.80173405 & -4026637.80173405 \tabularnewline
28 & 3173510 & 6956707.06840071 & -3783197.06840071 \tabularnewline
29 & 17568772 & 7291818.94649227 & 10276953.0535077 \tabularnewline
30 & 10805045 & 6998719.56718193 & 3806325.43281807 \tabularnewline
31 & 31056269 & 9631162.15338882 & 21425106.8466112 \tabularnewline
32 & 15623385 & 12735168.4637337 & 2888216.53626635 \tabularnewline
33 & 6663443 & 11405323.843044 & -4741880.84304399 \tabularnewline
34 & 35435745 & 9913371.15338881 & 25522373.8466112 \tabularnewline
35 & 2823250 & 8463949.15338882 & -5640699.15338883 \tabularnewline
36 & 5197089 & 9479439.70511296 & -4282350.70511296 \tabularnewline
37 & 4120632 & 8905521.36826199 & -4784889.36826199 \tabularnewline
38 & 8832767 & 11032141.868262 & -2199374.86826199 \tabularnewline
39 & 3695374 & 7661290.33492866 & -3965916.33492866 \tabularnewline
40 & 8385805 & 6984791.60159532 & 1401013.39840468 \tabularnewline
41 & 3777904 & 7319903.47968688 & -3541999.47968688 \tabularnewline
42 & 5199532 & 7026804.10037654 & -1827272.10037654 \tabularnewline
43 & 5297275 & 9659246.68658343 & -4361971.68658343 \tabularnewline
44 & 14847382 & 12763252.9969283 & 2084129.00307174 \tabularnewline
45 & 5900158 & 11433408.3762386 & -5533250.37623861 \tabularnewline
46 & 4416718 & 9941455.68658343 & -5524737.68658343 \tabularnewline
47 & 3926429 & 8492033.68658343 & -4565604.68658343 \tabularnewline
48 & 4876884 & 9507524.23830757 & -4630640.23830757 \tabularnewline
49 & 2795297 & 8933605.9014566 & -6138308.9014566 \tabularnewline
50 & 3385527 & 11060226.4014566 & -7674699.4014566 \tabularnewline
51 & 3877941 & 7689374.86812327 & -3811433.86812327 \tabularnewline
52 & 3556729 & 7012876.13478993 & -3456147.13478993 \tabularnewline
53 & 4982836 & 7347988.01288149 & -2365152.01288149 \tabularnewline
54 & 2976325 & 7054888.63357115 & -4078563.63357115 \tabularnewline
55 & 2295026 & 9687331.21977805 & -7392305.21977805 \tabularnewline
56 & 2218752 & 12791337.5301229 & -10572585.5301229 \tabularnewline
57 & 4146062 & 11461492.9094332 & -7315430.90943322 \tabularnewline
58 & 3302091 & 9969540.21977804 & -6667449.21977804 \tabularnewline
59 & 3864505 & 8520118.21977804 & -4655613.21977804 \tabularnewline
60 & 5454794 & 9535608.77150218 & -4080814.77150218 \tabularnewline
61 & 1749836 & 8961690.43465121 & -7211854.43465121 \tabularnewline
62 & 6684048 & 11088310.9346512 & -4404262.93465121 \tabularnewline
63 & 2809918 & 7717459.40131788 & -4907541.40131788 \tabularnewline
64 & 4092664 & 7040960.66798454 & -2948296.66798454 \tabularnewline
65 & 5070470 & 7376072.5460761 & -2305602.5460761 \tabularnewline
66 & 9814477 & 7082973.16676576 & 2731503.83323424 \tabularnewline
67 & 6665318 & 9715415.75297265 & -3050097.75297265 \tabularnewline
68 & 3912554 & 12819422.0633175 & -8906868.06331748 \tabularnewline
69 & 6188129 & 11489577.4426278 & -5301448.44262782 \tabularnewline
70 & 3627991 & 9997624.75297265 & -6369633.75297265 \tabularnewline
71 & 3308767 & 8548202.75297265 & -5239435.75297265 \tabularnewline
72 & 3820332 & 9563693.30469679 & -5743361.30469679 \tabularnewline
73 & 4932979 & 8989774.96784582 & -4056795.96784582 \tabularnewline
74 & 5567917 & 11116395.4678458 & -5548478.46784582 \tabularnewline
75 & 5020814 & 7745543.93451249 & -2724729.93451249 \tabularnewline
76 & 3803273 & 7069045.20117915 & -3265772.20117915 \tabularnewline
77 & 3999984 & 7404157.07927071 & -3404173.07927071 \tabularnewline
78 & 4883104 & 7111057.69996036 & -2227953.69996036 \tabularnewline
79 & 13731747 & 9743500.28616726 & 3988246.71383274 \tabularnewline
80 & 47531824 & 12847506.5965121 & 34684317.4034879 \tabularnewline
81 & 8415570 & 11517661.9758224 & -3102091.97582243 \tabularnewline
82 & 22178158 & 10025709.2861673 & 12152448.7138327 \tabularnewline
83 & 61211654 & 8576287.28616727 & 52635366.7138327 \tabularnewline
84 & 18223748 & 9591777.8378914 & 8631970.1621086 \tabularnewline
85 & 17678085 & 9017859.50104043 & 8660225.49895957 \tabularnewline
86 & 49299580 & 11144480.0010404 & 38155099.9989596 \tabularnewline
87 & 25899948 & 7773628.4677071 & 18126319.5322929 \tabularnewline
88 & 34121754 & 7097129.73437375 & 27024624.2656262 \tabularnewline
89 & 9859231 & 7432241.61246532 & 2426989.38753468 \tabularnewline
90 & 29740892 & 7139142.23315497 & 22601749.766845 \tabularnewline
91 & 21085212 & 9771584.81936187 & 11313627.1806381 \tabularnewline
92 & 43003866 & 12875591.1297067 & 30128274.8702933 \tabularnewline
93 & 59549247 & 11545746.5090171 & 48003500.4909829 \tabularnewline
94 & 18026465 & 10053793.8193619 & 7972671.18063813 \tabularnewline
95 & 4680597 & 8604371.81936187 & -3923774.81936187 \tabularnewline
96 & 5564728 & 9619862.37108601 & -4055134.37108601 \tabularnewline
97 & 11792347 & 9045944.03423504 & 2746402.96576496 \tabularnewline
98 & 10371624 & 11172564.534235 & -800940.534235037 \tabularnewline
99 & 3728446 & 7801713.0009017 & -4073267.00090171 \tabularnewline
100 & 5732978 & 7125214.26756837 & -1392236.26756837 \tabularnewline
101 & 4067638 & 7460326.14565993 & -3392688.14565993 \tabularnewline
102 & 2395508 & 7167226.76634959 & -4771718.76634959 \tabularnewline
103 & 5018801 & 9799669.35255648 & -4780868.35255648 \tabularnewline
104 & 22068888 & 12903675.6629013 & 9165212.33709869 \tabularnewline
105 & 7678580 & 11573831.0422117 & -3895251.04221165 \tabularnewline
106 & 15510095 & 10081878.3525565 & 5428216.64744352 \tabularnewline
107 & 6471239 & 8632456.35255648 & -2161217.35255648 \tabularnewline
108 & 14349204 & 9647946.90428062 & 4701257.09571938 \tabularnewline
109 & 35151574 & 9074028.56742965 & 26077545.4325703 \tabularnewline
110 & 8210488 & 11200649.0674296 & -2990161.06742965 \tabularnewline
111 & 5022664 & 7829797.53409631 & -2807133.53409631 \tabularnewline
112 & 13996871 & 7153298.80076298 & 6843572.19923702 \tabularnewline
113 & 12822431 & 7488410.67885454 & 5334020.32114546 \tabularnewline
114 & 14011552 & 7195311.2995442 & 6816240.7004558 \tabularnewline
115 & 20260980 & 9827753.88575109 & 10433226.1142489 \tabularnewline
116 & 23718976 & 12931760.1960959 & 10787215.8039041 \tabularnewline
117 & 45833049 & 11601915.5754063 & 34231133.4245937 \tabularnewline
118 & 30688420 & 10109962.8857511 & 20578457.1142489 \tabularnewline
119 & 16576062 & 8660540.88575109 & 7915521.11424891 \tabularnewline
120 & 14844405 & 9676031.43747523 & 5168373.56252477 \tabularnewline
121 & 16728286 & 9102113.10062426 & 7626172.89937574 \tabularnewline
122 & 43477680 & 11228733.6006243 & 32248946.3993757 \tabularnewline
123 & 57497427 & 7857882.06729092 & 49639544.9327091 \tabularnewline
124 & 24233726 & 7181383.33395759 & 17052342.6660424 \tabularnewline
125 & 24921208 & 7516495.21204915 & 17404712.7879508 \tabularnewline
126 & 9516725 & 7223395.8327388 & 2293329.1672612 \tabularnewline
127 & 27977239 & 9855838.41894569 & 18121400.5810543 \tabularnewline
128 & 21632046 & 12959844.7292905 & 8672201.27070947 \tabularnewline
129 & 22956809 & 11630000.1086009 & 11326808.8913991 \tabularnewline
130 & 9704324 & 10138047.4189457 & -433723.4189457 \tabularnewline
131 & 19871149 & 8688625.4189457 & 11182523.5810543 \tabularnewline
132 & 5553842 & 9704115.97066984 & -4150273.97066984 \tabularnewline
133 & 5667858 & 9130197.63381887 & -3462339.63381887 \tabularnewline
134 & 4348188 & 11256818.1338189 & -6908630.13381886 \tabularnewline
135 & 10025042 & 7885966.60048553 & 2139075.39951447 \tabularnewline
136 & 10639796 & 7209467.8671522 & 3430328.1328478 \tabularnewline
137 & 8639184 & 7544579.74524376 & 1094604.25475624 \tabularnewline
138 & 10764378 & 7251480.36593341 & 3512897.63406659 \tabularnewline
139 & 12097733 & 9883922.95214031 & 2213810.04785969 \tabularnewline
140 & 3988414 & 12987929.2624851 & -8999515.26248514 \tabularnewline
141 & 4607102 & 11658084.6417955 & -7050982.64179548 \tabularnewline
142 & 7126895 & 10166131.9521403 & -3039236.95214031 \tabularnewline
143 & 6009625 & 8716709.95214031 & -2707084.95214031 \tabularnewline
144 & 21533237 & 9732200.50386445 & 11801036.4961356 \tabularnewline
145 & 5986771 & 9158282.16701348 & -3171511.16701348 \tabularnewline
146 & 5455310 & 11284902.6670135 & -5829592.66701347 \tabularnewline
147 & 1822874 & 7914051.13368014 & -6091177.13368014 \tabularnewline
148 & 3374062 & 7237552.40034681 & -3863490.40034681 \tabularnewline
149 & 2920748 & 7572664.27843837 & -4651916.27843837 \tabularnewline
150 & 2295942 & 7279564.89912802 & -4983622.89912802 \tabularnewline
151 & 6809829 & 9912007.48533492 & -3102178.48533492 \tabularnewline
152 & 3318281 & 13016013.7956797 & -9697732.79567975 \tabularnewline
153 & 13784645 & 11686169.1749901 & 2098475.82500991 \tabularnewline
154 & 7366577 & 10194216.4853349 & -2827639.48533492 \tabularnewline
155 & 1628637 & 8744794.48533492 & -7116157.48533492 \tabularnewline
156 & 4258976 & 9760285.03705906 & -5501309.03705906 \tabularnewline
157 & 7159779 & 9186366.70020809 & -2026587.70020809 \tabularnewline
158 & 8098401 & 11312987.2002081 & -3214586.20020808 \tabularnewline
159 & 6894240 & 7942135.66687475 & -1047895.66687475 \tabularnewline
160 & 3771246 & 7265636.93354142 & -3494390.93354142 \tabularnewline
161 & 3249726 & 7600748.81163298 & -4351022.81163298 \tabularnewline
162 & 3147380 & 7307649.43232263 & -4160269.43232263 \tabularnewline
163 & 4063037 & 9940092.01852953 & -5877055.01852953 \tabularnewline
164 & 9621916 & 13044098.3288744 & -3422182.32887436 \tabularnewline
165 & 5890158 & 11714253.7081847 & -5824095.7081847 \tabularnewline
166 & 2142901 & 10222301.0185295 & -8079400.01852953 \tabularnewline
167 & 3145007 & 8772879.01852953 & -5627872.01852953 \tabularnewline
168 & 1562168 & 9788369.57025367 & -8226201.57025367 \tabularnewline
169 & 3303103 & 9214451.2334027 & -5911348.2334027 \tabularnewline
170 & 5886910 & 11341071.7334027 & -5454161.73340269 \tabularnewline
171 & 3454270 & 7970220.20006936 & -4515950.20006936 \tabularnewline
172 & 6995348 & 7293721.46673603 & -298373.466736029 \tabularnewline
173 & 6487869 & 7628833.34482759 & -1140964.34482759 \tabularnewline
174 & 12091976 & 7335733.96551724 & 4756242.03448276 \tabularnewline
175 & 3934625 & 9968176.55172414 & -6033551.55172414 \tabularnewline
176 & 3999749 & 13072182.862069 & -9072433.86206897 \tabularnewline
177 & 3613526 & 11742338.2413793 & -8128812.24137931 \tabularnewline
178 & 4271706 & 10250385.5517241 & -5978679.55172414 \tabularnewline
179 & 4253390 & 8800963.55172414 & -4547573.55172414 \tabularnewline
180 & 5551591 & 9816454.10344828 & -4264863.10344828 \tabularnewline
181 & 4663041 & 9242535.7665973 & -4579494.76659731 \tabularnewline
182 & 2104104 & 11369156.2665973 & -9265052.26659731 \tabularnewline
183 & 5385399 & 7998304.73326397 & -2612905.73326397 \tabularnewline
184 & 6205877 & 7321805.99993064 & -1115928.99993064 \tabularnewline
185 & 7529500 & 7656917.8780222 & -127417.878022195 \tabularnewline
186 & 17222705 & 7363818.49871185 & 9858886.50128815 \tabularnewline
187 & 6230913 & 9996261.08491875 & -3765348.08491875 \tabularnewline
188 & 6508275 & 13100267.3952636 & -6591992.39526358 \tabularnewline
189 & 4518884 & 11770422.7745739 & -7251538.77457392 \tabularnewline
190 & 4234991 & 10278470.0849187 & -6043479.08491875 \tabularnewline
191 & 5625388 & 8829048.08491874 & -3203660.08491875 \tabularnewline
192 & 5810139 & 9844538.63664288 & -4034399.63664289 \tabularnewline
193 & 6942187 & 9270620.29979192 & -2328433.29979191 \tabularnewline
194 & 3711188 & 11397240.7997919 & -7686052.79979191 \tabularnewline
195 & 4261281 & 8026389.26645858 & -3765108.26645858 \tabularnewline
196 & 1989945 & 7349890.53312525 & -5359945.53312525 \tabularnewline
197 & 5033342 & 7685002.4112168 & -2651660.4112168 \tabularnewline
198 & 7239565 & 7391903.03190646 & -152338.03190646 \tabularnewline
199 & 11058795 & 10024345.6181134 & 1034449.38188664 \tabularnewline
200 & 7384772 & 13128351.9284582 & -5743579.92845818 \tabularnewline
201 & 3884771 & 11798507.3077685 & -7913736.30776853 \tabularnewline
202 & 3239201 & 10306554.6181134 & -7067353.61811336 \tabularnewline
203 & 2316403 & 8857132.61811336 & -6540729.61811336 \tabularnewline
204 & 4034947 & 9872623.1698375 & -5837676.1698375 \tabularnewline
205 & 3245271 & 9298704.83298652 & -6053433.83298652 \tabularnewline
206 & 2387251 & 11425325.3329865 & -9038074.33298653 \tabularnewline
207 & 2174886 & 8054473.79965319 & -5879587.79965319 \tabularnewline
208 & 3436080 & 7377975.06631986 & -3941895.06631986 \tabularnewline
209 & 3738956 & 7713086.94441141 & -3974130.94441141 \tabularnewline
210 & 1884730 & 7419987.56510107 & -5535257.56510107 \tabularnewline
211 & 1509144 & 10052430.151308 & -8543286.15130797 \tabularnewline
212 & 42728366 & 13156436.4616528 & 29571929.5383472 \tabularnewline
213 & 3446317 & 11826591.8409631 & -8380274.84096314 \tabularnewline
214 & 4600683 & 10334639.151308 & -5733956.15130797 \tabularnewline
215 & 2953615 & 8885217.15130797 & -5931602.15130797 \tabularnewline
216 & 3570060 & 9900707.70303211 & -6330647.70303211 \tabularnewline
217 & 2130208 & 9326789.36618114 & -7196581.36618113 \tabularnewline
218 & 2442943 & 11453409.8661811 & -9010466.86618114 \tabularnewline
219 & 4892020 & 8082558.3328478 & -3190538.3328478 \tabularnewline
220 & 3222192 & 7406059.59951447 & -4183867.59951447 \tabularnewline
221 & 3121617 & 7741171.47760602 & -4619554.47760602 \tabularnewline
222 & 3665542 & 7448072.09829568 & -3782530.09829568 \tabularnewline
223 & 5519432 & 10080514.6845026 & -4561082.68450258 \tabularnewline
224 & 4113468 & 13184520.9948474 & -9071052.9948474 \tabularnewline
225 & 1714614 & 11854676.3741577 & -10140062.3741577 \tabularnewline
226 & 3651985 & 10362723.6845026 & -6710738.68450258 \tabularnewline
227 & 2419548 & 8913301.68450258 & -6493753.68450258 \tabularnewline
228 & 2378854 & 9928792.23622672 & -7549938.23622672 \tabularnewline
229 & 2303949 & 9354873.89937574 & -7050924.89937574 \tabularnewline
230 & 2555534 & 11481494.3993757 & -8925960.39937574 \tabularnewline
231 & 1713005 & 8110642.86604241 & -6397637.86604241 \tabularnewline
232 & 1705960 & 7434144.13270908 & -5728184.13270908 \tabularnewline
233 & 6115046 & 7769256.01080063 & -1654210.01080063 \tabularnewline
234 & 3951044 & 7476156.63149029 & -3525112.63149029 \tabularnewline
235 & 3785568 & 10108599.2176972 & -6323031.21769719 \tabularnewline
236 & 4670530 & 13212605.528042 & -8542075.52804201 \tabularnewline
237 & 2265100 & 11882760.9073524 & -9617660.90735236 \tabularnewline
238 & 1105643 & 10390808.2176972 & -9285165.21769719 \tabularnewline
239 & 2814152 & 8941386.21769719 & -6127234.21769719 \tabularnewline
240 & 3728673 & 9956876.76942133 & -6228203.76942133 \tabularnewline
241 & 2038949 & 9382958.43257035 & -7344009.43257035 \tabularnewline
242 & 2402919 & 11509578.9325704 & -9106659.93257036 \tabularnewline
243 & 2348814 & 8138727.39923702 & -5789913.39923702 \tabularnewline
244 & 2797822 & 7462228.66590369 & -4664406.66590369 \tabularnewline
245 & 902505 & 7797340.54399525 & -6894835.54399525 \tabularnewline
246 & 1331319 & 7504241.1646849 & -6172922.1646849 \tabularnewline
247 & 4204238 & 10136683.7508918 & -5932445.7508918 \tabularnewline
248 & 2212485 & 13240690.0612366 & -11028205.0612366 \tabularnewline
249 & 6797382 & 11910845.440547 & -5113463.44054697 \tabularnewline
250 & 4532324 & 10418892.7508918 & -5886568.7508918 \tabularnewline
251 & 1778808 & 8969470.7508918 & -7190662.7508918 \tabularnewline
252 & 1890720 & 9984961.30261594 & -8094241.30261594 \tabularnewline
253 & 5463736 & 9411042.96576496 & -3947306.96576496 \tabularnewline
254 & 11368931 & 11537663.465765 & -168732.465764962 \tabularnewline
255 & 2040164 & 8166811.93243163 & -6126647.93243163 \tabularnewline
256 & 4276399 & 7490313.19909829 & -3213914.1990983 \tabularnewline
257 & 3714445 & 7825425.07718985 & -4110980.07718985 \tabularnewline
258 & 2068168 & 7532325.69787951 & -5464157.69787951 \tabularnewline
259 & 1003842 & 10164768.2840864 & -9160926.28408641 \tabularnewline
260 & 2858535 & 13268774.5944312 & -10410239.5944312 \tabularnewline
261 & 2355484 & 11938929.9737416 & -9583445.97374158 \tabularnewline
262 & 2719262 & 10446977.2840864 & -7727715.28408641 \tabularnewline
263 & 1897741 & 8997555.28408641 & -7099814.28408641 \tabularnewline
264 & 3945185 & 10013045.8358105 & -6067860.83581055 \tabularnewline
265 & 3799916 & 9439127.49895957 & -5639211.49895957 \tabularnewline
266 & 1017654 & 11565747.9989596 & -10548093.9989596 \tabularnewline
267 & 3052241 & 8194896.46562624 & -5142655.46562624 \tabularnewline
268 & 3932970 & 7518397.7322929 & -3585427.7322929 \tabularnewline
269 & 3598151 & 7853509.61038446 & -4255358.61038446 \tabularnewline
270 & 2296005 & 7560410.23107412 & -5264405.23107412 \tabularnewline
271 & 2202018 & 10192852.817281 & -7990834.81728102 \tabularnewline
272 & 2461777 & 13296859.1276258 & -10835082.1276258 \tabularnewline
273 & 2452042 & 11967014.5069362 & -9514972.50693619 \tabularnewline
274 & 2185142 & 10475061.817281 & -8289919.81728102 \tabularnewline
275 & 11968502 & 9025639.81728101 & 2942862.18271899 \tabularnewline
276 & 20395972 & 10041130.3690052 & 10354841.6309948 \tabularnewline
277 & 21756900 & 9467212.03215418 & 12289687.9678458 \tabularnewline
278 & 30024300 & 11593832.5321542 & 18430467.4678458 \tabularnewline
279 & 10811344 & 8222980.99882085 & 2588363.00117915 \tabularnewline
280 & 1819202 & 7546482.26548752 & -5727280.26548752 \tabularnewline
281 & 1276885 & 7881594.14357908 & -6604709.14357908 \tabularnewline
282 & 2946701 & 7588494.76426873 & -4641793.76426873 \tabularnewline
283 & 3587459 & 10220937.3504756 & -6633478.35047563 \tabularnewline
284 & 2832691 & 13324943.6608205 & -10492252.6608205 \tabularnewline
285 & 6674805 & 11995099.0401308 & -5320294.0401308 \tabularnewline
286 & 3868362 & 10503146.3504756 & -6634784.35047563 \tabularnewline
287 & 4302909 & 9053724.35047562 & -4750815.35047562 \tabularnewline
288 & 23265229 & 10069214.9021998 & 13196014.0978002 \tabularnewline
289 & 22348002 & 9495296.56534879 & 12852705.4346512 \tabularnewline
290 & 11883953 & 11621917.0653488 & 262035.934651209 \tabularnewline
291 & 6634979 & 8251065.53201546 & -1616086.53201546 \tabularnewline
292 & 2935493 & 7574566.79868213 & -4639073.79868213 \tabularnewline
293 & 3425669 & 7909678.67677368 & -4484009.67677368 \tabularnewline
294 & 1171611 & 7616579.29746334 & -6444968.29746334 \tabularnewline
295 & 6875879 & 10249021.8836702 & -3373142.88367024 \tabularnewline
296 & 19451908 & 13353028.1940151 & 6098879.80598494 \tabularnewline
297 & 13885933 & 12023183.5733254 & 1862749.42667459 \tabularnewline
298 & 7643317 & 10531230.8836702 & -2887913.88367023 \tabularnewline
299 & 10797966 & 9081808.88367023 & 1716157.11632977 \tabularnewline
300 & 7297445 & 10097299.4353944 & -2799854.43539437 \tabularnewline
301 & 8739736 & 9523381.0985434 & -783645.098543401 \tabularnewline
302 & 12455537 & 11650001.5985434 & 805535.4014566 \tabularnewline
303 & 24291181 & 8279150.06521007 & 16012030.9347899 \tabularnewline
304 & 4215150 & 7602651.33187673 & -3387501.33187673 \tabularnewline
305 & 28652176 & 7937763.20996829 & 20714412.7900317 \tabularnewline
306 & 6851172 & 7644663.83065795 & -793491.830657947 \tabularnewline
307 & 3746871 & 10277106.4168648 & -6530235.41686484 \tabularnewline
308 & 7327861 & 13381112.7272097 & -6053251.72720967 \tabularnewline
309 & 16829710 & 12051268.10652 & 4778441.89347998 \tabularnewline
310 & 13778594 & 10559315.4168648 & 3219278.58313516 \tabularnewline
311 & 6463717 & 9109893.41686484 & -2646176.41686484 \tabularnewline
312 & 8956867 & 10125383.968589 & -1168516.96858898 \tabularnewline
313 & 21204915 & 9551465.63173801 & 11653449.368262 \tabularnewline
314 & 16115855 & 11678086.131738 & 4437768.86826199 \tabularnewline
315 & 2536113 & 8307234.59840468 & -5771121.59840468 \tabularnewline
316 & 16645717 & 7630735.86507134 & 9014981.13492866 \tabularnewline
317 & 17003730 & 7965847.7431629 & 9037882.2568371 \tabularnewline
318 & 15969006 & 7672748.36385256 & 8296257.63614744 \tabularnewline
319 & 31020427 & 10305190.9500594 & 20715236.0499406 \tabularnewline
320 & 23798897 & 13409197.2604043 & 10389699.7395957 \tabularnewline
321 & 20770321 & 12079352.6397146 & 8690968.36028538 \tabularnewline
322 & 44410402 & 10587399.9500595 & 33823002.0499405 \tabularnewline
323 & 27037491 & 9137977.95005944 & 17899513.0499406 \tabularnewline
324 & 29627771 & 10153468.5017836 & 19474302.4982164 \tabularnewline
325 & 18189792 & 9579550.16493262 & 8610241.83506738 \tabularnewline
326 & 4654610 & 11706170.6649326 & -7051560.66493262 \tabularnewline
327 & 12307201 & 8335319.13159929 & 3971881.86840071 \tabularnewline
328 & 15300578 & 7658820.39826596 & 7641757.60173404 \tabularnewline
329 & 10623864 & 7993932.27635751 & 2629931.72364249 \tabularnewline
330 & 6880178 & 7700832.89704717 & -820654.897047166 \tabularnewline
331 & 29947357 & 10333275.4832541 & 19614081.5167459 \tabularnewline
332 & 18611399 & 13437281.7935989 & 5174117.20640111 \tabularnewline
333 & 42432604 & 12107437.1729092 & 30325166.8270908 \tabularnewline
334 & 20208278 & 10615484.4832541 & 9592793.51674594 \tabularnewline
335 & 14004392 & 9166062.48325406 & 4838329.51674594 \tabularnewline
336 & 25737765 & 10181553.0349782 & 15556211.9650218 \tabularnewline
337 & 16735738 & 9607634.69812723 & 7128103.30187277 \tabularnewline
338 & 22450825 & 11734255.1981272 & 10716569.8018728 \tabularnewline
339 & 6880840 & 8363403.6647939 & -1482563.6647939 \tabularnewline
340 & 8510379 & 7686904.93146056 & 823474.068539438 \tabularnewline
341 & 8182481 & 8022016.80955212 & 160464.19044788 \tabularnewline
342 & 10948683 & 7728917.43024177 & 3219765.56975822 \tabularnewline
343 & 4805277 & 10361360.0164487 & -5556083.01644867 \tabularnewline
344 & 2589229 & 13465366.3267935 & -10876137.3267935 \tabularnewline
345 & 5658407 & 12135521.7061038 & -6477114.70610384 \tabularnewline
346 & 12862611 & 10643569.0164487 & 2219041.98355133 \tabularnewline
347 & 5666188 & 9194147.01644867 & -3527959.01644867 \tabularnewline
348 & 6875556 & 10209637.5681728 & -3334081.56817281 \tabularnewline
349 & 7098766 & 9635719.23132184 & -2536953.23132184 \tabularnewline
350 & 36083309 & 11762339.7313218 & 24320969.2686782 \tabularnewline
351 & 10200330 & 8391488.19798851 & 1808841.80201149 \tabularnewline
352 & 7784976 & 7714989.46465517 & 69986.5353448281 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197792&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]1483509[/C][C]8821267.76867813[/C][C]-7337758.76867813[/C][/ROW]
[ROW][C]2[/C][C]8036554[/C][C]10947888.2686782[/C][C]-2911334.26867816[/C][/ROW]
[ROW][C]3[/C][C]4623093[/C][C]7577036.73534483[/C][C]-2953943.73534482[/C][/ROW]
[ROW][C]4[/C][C]5528662[/C][C]6900538.0020115[/C][C]-1371876.0020115[/C][/ROW]
[ROW][C]5[/C][C]4221032[/C][C]7235649.88010305[/C][C]-3014617.88010305[/C][/ROW]
[ROW][C]6[/C][C]8061847[/C][C]6942550.50079271[/C][C]1119296.49920729[/C][/ROW]
[ROW][C]7[/C][C]7640066[/C][C]9574993.08699961[/C][C]-1934927.08699961[/C][/ROW]
[ROW][C]8[/C][C]2935533[/C][C]12678999.3973444[/C][C]-9743466.39734443[/C][/ROW]
[ROW][C]9[/C][C]8161548[/C][C]11349154.7766548[/C][C]-3187606.77665477[/C][/ROW]
[ROW][C]10[/C][C]2543967[/C][C]9857202.0869996[/C][C]-7313235.0869996[/C][/ROW]
[ROW][C]11[/C][C]13163450[/C][C]8407780.08699961[/C][C]4755669.91300039[/C][/ROW]
[ROW][C]12[/C][C]3348436[/C][C]9423270.63872374[/C][C]-6074834.63872374[/C][/ROW]
[ROW][C]13[/C][C]3997440[/C][C]8849352.30187277[/C][C]-4851912.30187277[/C][/ROW]
[ROW][C]14[/C][C]2322911[/C][C]10975972.8018728[/C][C]-8653061.80187277[/C][/ROW]
[ROW][C]15[/C][C]2019457[/C][C]7605121.26853944[/C][C]-5585664.26853944[/C][/ROW]
[ROW][C]16[/C][C]3047748[/C][C]6928622.5352061[/C][C]-3880874.5352061[/C][/ROW]
[ROW][C]17[/C][C]5728767[/C][C]7263734.41329766[/C][C]-1534967.41329766[/C][/ROW]
[ROW][C]18[/C][C]2605173[/C][C]6970635.03398732[/C][C]-4365462.03398732[/C][/ROW]
[ROW][C]19[/C][C]5646743[/C][C]9603077.62019421[/C][C]-3956334.62019421[/C][/ROW]
[ROW][C]20[/C][C]13121544[/C][C]12707083.930539[/C][C]414460.06946096[/C][/ROW]
[ROW][C]21[/C][C]3453409[/C][C]11377239.3098494[/C][C]-7923830.30984939[/C][/ROW]
[ROW][C]22[/C][C]1878333[/C][C]9885286.62019422[/C][C]-8006953.62019422[/C][/ROW]
[ROW][C]23[/C][C]4247362[/C][C]8435864.62019421[/C][C]-4188502.62019421[/C][/ROW]
[ROW][C]24[/C][C]23022552[/C][C]9451355.17191835[/C][C]13571196.8280816[/C][/ROW]
[ROW][C]25[/C][C]7646203[/C][C]8877436.83506738[/C][C]-1231233.83506738[/C][/ROW]
[ROW][C]26[/C][C]9016602[/C][C]11004057.3350674[/C][C]-1987455.33506738[/C][/ROW]
[ROW][C]27[/C][C]3606568[/C][C]7633205.80173405[/C][C]-4026637.80173405[/C][/ROW]
[ROW][C]28[/C][C]3173510[/C][C]6956707.06840071[/C][C]-3783197.06840071[/C][/ROW]
[ROW][C]29[/C][C]17568772[/C][C]7291818.94649227[/C][C]10276953.0535077[/C][/ROW]
[ROW][C]30[/C][C]10805045[/C][C]6998719.56718193[/C][C]3806325.43281807[/C][/ROW]
[ROW][C]31[/C][C]31056269[/C][C]9631162.15338882[/C][C]21425106.8466112[/C][/ROW]
[ROW][C]32[/C][C]15623385[/C][C]12735168.4637337[/C][C]2888216.53626635[/C][/ROW]
[ROW][C]33[/C][C]6663443[/C][C]11405323.843044[/C][C]-4741880.84304399[/C][/ROW]
[ROW][C]34[/C][C]35435745[/C][C]9913371.15338881[/C][C]25522373.8466112[/C][/ROW]
[ROW][C]35[/C][C]2823250[/C][C]8463949.15338882[/C][C]-5640699.15338883[/C][/ROW]
[ROW][C]36[/C][C]5197089[/C][C]9479439.70511296[/C][C]-4282350.70511296[/C][/ROW]
[ROW][C]37[/C][C]4120632[/C][C]8905521.36826199[/C][C]-4784889.36826199[/C][/ROW]
[ROW][C]38[/C][C]8832767[/C][C]11032141.868262[/C][C]-2199374.86826199[/C][/ROW]
[ROW][C]39[/C][C]3695374[/C][C]7661290.33492866[/C][C]-3965916.33492866[/C][/ROW]
[ROW][C]40[/C][C]8385805[/C][C]6984791.60159532[/C][C]1401013.39840468[/C][/ROW]
[ROW][C]41[/C][C]3777904[/C][C]7319903.47968688[/C][C]-3541999.47968688[/C][/ROW]
[ROW][C]42[/C][C]5199532[/C][C]7026804.10037654[/C][C]-1827272.10037654[/C][/ROW]
[ROW][C]43[/C][C]5297275[/C][C]9659246.68658343[/C][C]-4361971.68658343[/C][/ROW]
[ROW][C]44[/C][C]14847382[/C][C]12763252.9969283[/C][C]2084129.00307174[/C][/ROW]
[ROW][C]45[/C][C]5900158[/C][C]11433408.3762386[/C][C]-5533250.37623861[/C][/ROW]
[ROW][C]46[/C][C]4416718[/C][C]9941455.68658343[/C][C]-5524737.68658343[/C][/ROW]
[ROW][C]47[/C][C]3926429[/C][C]8492033.68658343[/C][C]-4565604.68658343[/C][/ROW]
[ROW][C]48[/C][C]4876884[/C][C]9507524.23830757[/C][C]-4630640.23830757[/C][/ROW]
[ROW][C]49[/C][C]2795297[/C][C]8933605.9014566[/C][C]-6138308.9014566[/C][/ROW]
[ROW][C]50[/C][C]3385527[/C][C]11060226.4014566[/C][C]-7674699.4014566[/C][/ROW]
[ROW][C]51[/C][C]3877941[/C][C]7689374.86812327[/C][C]-3811433.86812327[/C][/ROW]
[ROW][C]52[/C][C]3556729[/C][C]7012876.13478993[/C][C]-3456147.13478993[/C][/ROW]
[ROW][C]53[/C][C]4982836[/C][C]7347988.01288149[/C][C]-2365152.01288149[/C][/ROW]
[ROW][C]54[/C][C]2976325[/C][C]7054888.63357115[/C][C]-4078563.63357115[/C][/ROW]
[ROW][C]55[/C][C]2295026[/C][C]9687331.21977805[/C][C]-7392305.21977805[/C][/ROW]
[ROW][C]56[/C][C]2218752[/C][C]12791337.5301229[/C][C]-10572585.5301229[/C][/ROW]
[ROW][C]57[/C][C]4146062[/C][C]11461492.9094332[/C][C]-7315430.90943322[/C][/ROW]
[ROW][C]58[/C][C]3302091[/C][C]9969540.21977804[/C][C]-6667449.21977804[/C][/ROW]
[ROW][C]59[/C][C]3864505[/C][C]8520118.21977804[/C][C]-4655613.21977804[/C][/ROW]
[ROW][C]60[/C][C]5454794[/C][C]9535608.77150218[/C][C]-4080814.77150218[/C][/ROW]
[ROW][C]61[/C][C]1749836[/C][C]8961690.43465121[/C][C]-7211854.43465121[/C][/ROW]
[ROW][C]62[/C][C]6684048[/C][C]11088310.9346512[/C][C]-4404262.93465121[/C][/ROW]
[ROW][C]63[/C][C]2809918[/C][C]7717459.40131788[/C][C]-4907541.40131788[/C][/ROW]
[ROW][C]64[/C][C]4092664[/C][C]7040960.66798454[/C][C]-2948296.66798454[/C][/ROW]
[ROW][C]65[/C][C]5070470[/C][C]7376072.5460761[/C][C]-2305602.5460761[/C][/ROW]
[ROW][C]66[/C][C]9814477[/C][C]7082973.16676576[/C][C]2731503.83323424[/C][/ROW]
[ROW][C]67[/C][C]6665318[/C][C]9715415.75297265[/C][C]-3050097.75297265[/C][/ROW]
[ROW][C]68[/C][C]3912554[/C][C]12819422.0633175[/C][C]-8906868.06331748[/C][/ROW]
[ROW][C]69[/C][C]6188129[/C][C]11489577.4426278[/C][C]-5301448.44262782[/C][/ROW]
[ROW][C]70[/C][C]3627991[/C][C]9997624.75297265[/C][C]-6369633.75297265[/C][/ROW]
[ROW][C]71[/C][C]3308767[/C][C]8548202.75297265[/C][C]-5239435.75297265[/C][/ROW]
[ROW][C]72[/C][C]3820332[/C][C]9563693.30469679[/C][C]-5743361.30469679[/C][/ROW]
[ROW][C]73[/C][C]4932979[/C][C]8989774.96784582[/C][C]-4056795.96784582[/C][/ROW]
[ROW][C]74[/C][C]5567917[/C][C]11116395.4678458[/C][C]-5548478.46784582[/C][/ROW]
[ROW][C]75[/C][C]5020814[/C][C]7745543.93451249[/C][C]-2724729.93451249[/C][/ROW]
[ROW][C]76[/C][C]3803273[/C][C]7069045.20117915[/C][C]-3265772.20117915[/C][/ROW]
[ROW][C]77[/C][C]3999984[/C][C]7404157.07927071[/C][C]-3404173.07927071[/C][/ROW]
[ROW][C]78[/C][C]4883104[/C][C]7111057.69996036[/C][C]-2227953.69996036[/C][/ROW]
[ROW][C]79[/C][C]13731747[/C][C]9743500.28616726[/C][C]3988246.71383274[/C][/ROW]
[ROW][C]80[/C][C]47531824[/C][C]12847506.5965121[/C][C]34684317.4034879[/C][/ROW]
[ROW][C]81[/C][C]8415570[/C][C]11517661.9758224[/C][C]-3102091.97582243[/C][/ROW]
[ROW][C]82[/C][C]22178158[/C][C]10025709.2861673[/C][C]12152448.7138327[/C][/ROW]
[ROW][C]83[/C][C]61211654[/C][C]8576287.28616727[/C][C]52635366.7138327[/C][/ROW]
[ROW][C]84[/C][C]18223748[/C][C]9591777.8378914[/C][C]8631970.1621086[/C][/ROW]
[ROW][C]85[/C][C]17678085[/C][C]9017859.50104043[/C][C]8660225.49895957[/C][/ROW]
[ROW][C]86[/C][C]49299580[/C][C]11144480.0010404[/C][C]38155099.9989596[/C][/ROW]
[ROW][C]87[/C][C]25899948[/C][C]7773628.4677071[/C][C]18126319.5322929[/C][/ROW]
[ROW][C]88[/C][C]34121754[/C][C]7097129.73437375[/C][C]27024624.2656262[/C][/ROW]
[ROW][C]89[/C][C]9859231[/C][C]7432241.61246532[/C][C]2426989.38753468[/C][/ROW]
[ROW][C]90[/C][C]29740892[/C][C]7139142.23315497[/C][C]22601749.766845[/C][/ROW]
[ROW][C]91[/C][C]21085212[/C][C]9771584.81936187[/C][C]11313627.1806381[/C][/ROW]
[ROW][C]92[/C][C]43003866[/C][C]12875591.1297067[/C][C]30128274.8702933[/C][/ROW]
[ROW][C]93[/C][C]59549247[/C][C]11545746.5090171[/C][C]48003500.4909829[/C][/ROW]
[ROW][C]94[/C][C]18026465[/C][C]10053793.8193619[/C][C]7972671.18063813[/C][/ROW]
[ROW][C]95[/C][C]4680597[/C][C]8604371.81936187[/C][C]-3923774.81936187[/C][/ROW]
[ROW][C]96[/C][C]5564728[/C][C]9619862.37108601[/C][C]-4055134.37108601[/C][/ROW]
[ROW][C]97[/C][C]11792347[/C][C]9045944.03423504[/C][C]2746402.96576496[/C][/ROW]
[ROW][C]98[/C][C]10371624[/C][C]11172564.534235[/C][C]-800940.534235037[/C][/ROW]
[ROW][C]99[/C][C]3728446[/C][C]7801713.0009017[/C][C]-4073267.00090171[/C][/ROW]
[ROW][C]100[/C][C]5732978[/C][C]7125214.26756837[/C][C]-1392236.26756837[/C][/ROW]
[ROW][C]101[/C][C]4067638[/C][C]7460326.14565993[/C][C]-3392688.14565993[/C][/ROW]
[ROW][C]102[/C][C]2395508[/C][C]7167226.76634959[/C][C]-4771718.76634959[/C][/ROW]
[ROW][C]103[/C][C]5018801[/C][C]9799669.35255648[/C][C]-4780868.35255648[/C][/ROW]
[ROW][C]104[/C][C]22068888[/C][C]12903675.6629013[/C][C]9165212.33709869[/C][/ROW]
[ROW][C]105[/C][C]7678580[/C][C]11573831.0422117[/C][C]-3895251.04221165[/C][/ROW]
[ROW][C]106[/C][C]15510095[/C][C]10081878.3525565[/C][C]5428216.64744352[/C][/ROW]
[ROW][C]107[/C][C]6471239[/C][C]8632456.35255648[/C][C]-2161217.35255648[/C][/ROW]
[ROW][C]108[/C][C]14349204[/C][C]9647946.90428062[/C][C]4701257.09571938[/C][/ROW]
[ROW][C]109[/C][C]35151574[/C][C]9074028.56742965[/C][C]26077545.4325703[/C][/ROW]
[ROW][C]110[/C][C]8210488[/C][C]11200649.0674296[/C][C]-2990161.06742965[/C][/ROW]
[ROW][C]111[/C][C]5022664[/C][C]7829797.53409631[/C][C]-2807133.53409631[/C][/ROW]
[ROW][C]112[/C][C]13996871[/C][C]7153298.80076298[/C][C]6843572.19923702[/C][/ROW]
[ROW][C]113[/C][C]12822431[/C][C]7488410.67885454[/C][C]5334020.32114546[/C][/ROW]
[ROW][C]114[/C][C]14011552[/C][C]7195311.2995442[/C][C]6816240.7004558[/C][/ROW]
[ROW][C]115[/C][C]20260980[/C][C]9827753.88575109[/C][C]10433226.1142489[/C][/ROW]
[ROW][C]116[/C][C]23718976[/C][C]12931760.1960959[/C][C]10787215.8039041[/C][/ROW]
[ROW][C]117[/C][C]45833049[/C][C]11601915.5754063[/C][C]34231133.4245937[/C][/ROW]
[ROW][C]118[/C][C]30688420[/C][C]10109962.8857511[/C][C]20578457.1142489[/C][/ROW]
[ROW][C]119[/C][C]16576062[/C][C]8660540.88575109[/C][C]7915521.11424891[/C][/ROW]
[ROW][C]120[/C][C]14844405[/C][C]9676031.43747523[/C][C]5168373.56252477[/C][/ROW]
[ROW][C]121[/C][C]16728286[/C][C]9102113.10062426[/C][C]7626172.89937574[/C][/ROW]
[ROW][C]122[/C][C]43477680[/C][C]11228733.6006243[/C][C]32248946.3993757[/C][/ROW]
[ROW][C]123[/C][C]57497427[/C][C]7857882.06729092[/C][C]49639544.9327091[/C][/ROW]
[ROW][C]124[/C][C]24233726[/C][C]7181383.33395759[/C][C]17052342.6660424[/C][/ROW]
[ROW][C]125[/C][C]24921208[/C][C]7516495.21204915[/C][C]17404712.7879508[/C][/ROW]
[ROW][C]126[/C][C]9516725[/C][C]7223395.8327388[/C][C]2293329.1672612[/C][/ROW]
[ROW][C]127[/C][C]27977239[/C][C]9855838.41894569[/C][C]18121400.5810543[/C][/ROW]
[ROW][C]128[/C][C]21632046[/C][C]12959844.7292905[/C][C]8672201.27070947[/C][/ROW]
[ROW][C]129[/C][C]22956809[/C][C]11630000.1086009[/C][C]11326808.8913991[/C][/ROW]
[ROW][C]130[/C][C]9704324[/C][C]10138047.4189457[/C][C]-433723.4189457[/C][/ROW]
[ROW][C]131[/C][C]19871149[/C][C]8688625.4189457[/C][C]11182523.5810543[/C][/ROW]
[ROW][C]132[/C][C]5553842[/C][C]9704115.97066984[/C][C]-4150273.97066984[/C][/ROW]
[ROW][C]133[/C][C]5667858[/C][C]9130197.63381887[/C][C]-3462339.63381887[/C][/ROW]
[ROW][C]134[/C][C]4348188[/C][C]11256818.1338189[/C][C]-6908630.13381886[/C][/ROW]
[ROW][C]135[/C][C]10025042[/C][C]7885966.60048553[/C][C]2139075.39951447[/C][/ROW]
[ROW][C]136[/C][C]10639796[/C][C]7209467.8671522[/C][C]3430328.1328478[/C][/ROW]
[ROW][C]137[/C][C]8639184[/C][C]7544579.74524376[/C][C]1094604.25475624[/C][/ROW]
[ROW][C]138[/C][C]10764378[/C][C]7251480.36593341[/C][C]3512897.63406659[/C][/ROW]
[ROW][C]139[/C][C]12097733[/C][C]9883922.95214031[/C][C]2213810.04785969[/C][/ROW]
[ROW][C]140[/C][C]3988414[/C][C]12987929.2624851[/C][C]-8999515.26248514[/C][/ROW]
[ROW][C]141[/C][C]4607102[/C][C]11658084.6417955[/C][C]-7050982.64179548[/C][/ROW]
[ROW][C]142[/C][C]7126895[/C][C]10166131.9521403[/C][C]-3039236.95214031[/C][/ROW]
[ROW][C]143[/C][C]6009625[/C][C]8716709.95214031[/C][C]-2707084.95214031[/C][/ROW]
[ROW][C]144[/C][C]21533237[/C][C]9732200.50386445[/C][C]11801036.4961356[/C][/ROW]
[ROW][C]145[/C][C]5986771[/C][C]9158282.16701348[/C][C]-3171511.16701348[/C][/ROW]
[ROW][C]146[/C][C]5455310[/C][C]11284902.6670135[/C][C]-5829592.66701347[/C][/ROW]
[ROW][C]147[/C][C]1822874[/C][C]7914051.13368014[/C][C]-6091177.13368014[/C][/ROW]
[ROW][C]148[/C][C]3374062[/C][C]7237552.40034681[/C][C]-3863490.40034681[/C][/ROW]
[ROW][C]149[/C][C]2920748[/C][C]7572664.27843837[/C][C]-4651916.27843837[/C][/ROW]
[ROW][C]150[/C][C]2295942[/C][C]7279564.89912802[/C][C]-4983622.89912802[/C][/ROW]
[ROW][C]151[/C][C]6809829[/C][C]9912007.48533492[/C][C]-3102178.48533492[/C][/ROW]
[ROW][C]152[/C][C]3318281[/C][C]13016013.7956797[/C][C]-9697732.79567975[/C][/ROW]
[ROW][C]153[/C][C]13784645[/C][C]11686169.1749901[/C][C]2098475.82500991[/C][/ROW]
[ROW][C]154[/C][C]7366577[/C][C]10194216.4853349[/C][C]-2827639.48533492[/C][/ROW]
[ROW][C]155[/C][C]1628637[/C][C]8744794.48533492[/C][C]-7116157.48533492[/C][/ROW]
[ROW][C]156[/C][C]4258976[/C][C]9760285.03705906[/C][C]-5501309.03705906[/C][/ROW]
[ROW][C]157[/C][C]7159779[/C][C]9186366.70020809[/C][C]-2026587.70020809[/C][/ROW]
[ROW][C]158[/C][C]8098401[/C][C]11312987.2002081[/C][C]-3214586.20020808[/C][/ROW]
[ROW][C]159[/C][C]6894240[/C][C]7942135.66687475[/C][C]-1047895.66687475[/C][/ROW]
[ROW][C]160[/C][C]3771246[/C][C]7265636.93354142[/C][C]-3494390.93354142[/C][/ROW]
[ROW][C]161[/C][C]3249726[/C][C]7600748.81163298[/C][C]-4351022.81163298[/C][/ROW]
[ROW][C]162[/C][C]3147380[/C][C]7307649.43232263[/C][C]-4160269.43232263[/C][/ROW]
[ROW][C]163[/C][C]4063037[/C][C]9940092.01852953[/C][C]-5877055.01852953[/C][/ROW]
[ROW][C]164[/C][C]9621916[/C][C]13044098.3288744[/C][C]-3422182.32887436[/C][/ROW]
[ROW][C]165[/C][C]5890158[/C][C]11714253.7081847[/C][C]-5824095.7081847[/C][/ROW]
[ROW][C]166[/C][C]2142901[/C][C]10222301.0185295[/C][C]-8079400.01852953[/C][/ROW]
[ROW][C]167[/C][C]3145007[/C][C]8772879.01852953[/C][C]-5627872.01852953[/C][/ROW]
[ROW][C]168[/C][C]1562168[/C][C]9788369.57025367[/C][C]-8226201.57025367[/C][/ROW]
[ROW][C]169[/C][C]3303103[/C][C]9214451.2334027[/C][C]-5911348.2334027[/C][/ROW]
[ROW][C]170[/C][C]5886910[/C][C]11341071.7334027[/C][C]-5454161.73340269[/C][/ROW]
[ROW][C]171[/C][C]3454270[/C][C]7970220.20006936[/C][C]-4515950.20006936[/C][/ROW]
[ROW][C]172[/C][C]6995348[/C][C]7293721.46673603[/C][C]-298373.466736029[/C][/ROW]
[ROW][C]173[/C][C]6487869[/C][C]7628833.34482759[/C][C]-1140964.34482759[/C][/ROW]
[ROW][C]174[/C][C]12091976[/C][C]7335733.96551724[/C][C]4756242.03448276[/C][/ROW]
[ROW][C]175[/C][C]3934625[/C][C]9968176.55172414[/C][C]-6033551.55172414[/C][/ROW]
[ROW][C]176[/C][C]3999749[/C][C]13072182.862069[/C][C]-9072433.86206897[/C][/ROW]
[ROW][C]177[/C][C]3613526[/C][C]11742338.2413793[/C][C]-8128812.24137931[/C][/ROW]
[ROW][C]178[/C][C]4271706[/C][C]10250385.5517241[/C][C]-5978679.55172414[/C][/ROW]
[ROW][C]179[/C][C]4253390[/C][C]8800963.55172414[/C][C]-4547573.55172414[/C][/ROW]
[ROW][C]180[/C][C]5551591[/C][C]9816454.10344828[/C][C]-4264863.10344828[/C][/ROW]
[ROW][C]181[/C][C]4663041[/C][C]9242535.7665973[/C][C]-4579494.76659731[/C][/ROW]
[ROW][C]182[/C][C]2104104[/C][C]11369156.2665973[/C][C]-9265052.26659731[/C][/ROW]
[ROW][C]183[/C][C]5385399[/C][C]7998304.73326397[/C][C]-2612905.73326397[/C][/ROW]
[ROW][C]184[/C][C]6205877[/C][C]7321805.99993064[/C][C]-1115928.99993064[/C][/ROW]
[ROW][C]185[/C][C]7529500[/C][C]7656917.8780222[/C][C]-127417.878022195[/C][/ROW]
[ROW][C]186[/C][C]17222705[/C][C]7363818.49871185[/C][C]9858886.50128815[/C][/ROW]
[ROW][C]187[/C][C]6230913[/C][C]9996261.08491875[/C][C]-3765348.08491875[/C][/ROW]
[ROW][C]188[/C][C]6508275[/C][C]13100267.3952636[/C][C]-6591992.39526358[/C][/ROW]
[ROW][C]189[/C][C]4518884[/C][C]11770422.7745739[/C][C]-7251538.77457392[/C][/ROW]
[ROW][C]190[/C][C]4234991[/C][C]10278470.0849187[/C][C]-6043479.08491875[/C][/ROW]
[ROW][C]191[/C][C]5625388[/C][C]8829048.08491874[/C][C]-3203660.08491875[/C][/ROW]
[ROW][C]192[/C][C]5810139[/C][C]9844538.63664288[/C][C]-4034399.63664289[/C][/ROW]
[ROW][C]193[/C][C]6942187[/C][C]9270620.29979192[/C][C]-2328433.29979191[/C][/ROW]
[ROW][C]194[/C][C]3711188[/C][C]11397240.7997919[/C][C]-7686052.79979191[/C][/ROW]
[ROW][C]195[/C][C]4261281[/C][C]8026389.26645858[/C][C]-3765108.26645858[/C][/ROW]
[ROW][C]196[/C][C]1989945[/C][C]7349890.53312525[/C][C]-5359945.53312525[/C][/ROW]
[ROW][C]197[/C][C]5033342[/C][C]7685002.4112168[/C][C]-2651660.4112168[/C][/ROW]
[ROW][C]198[/C][C]7239565[/C][C]7391903.03190646[/C][C]-152338.03190646[/C][/ROW]
[ROW][C]199[/C][C]11058795[/C][C]10024345.6181134[/C][C]1034449.38188664[/C][/ROW]
[ROW][C]200[/C][C]7384772[/C][C]13128351.9284582[/C][C]-5743579.92845818[/C][/ROW]
[ROW][C]201[/C][C]3884771[/C][C]11798507.3077685[/C][C]-7913736.30776853[/C][/ROW]
[ROW][C]202[/C][C]3239201[/C][C]10306554.6181134[/C][C]-7067353.61811336[/C][/ROW]
[ROW][C]203[/C][C]2316403[/C][C]8857132.61811336[/C][C]-6540729.61811336[/C][/ROW]
[ROW][C]204[/C][C]4034947[/C][C]9872623.1698375[/C][C]-5837676.1698375[/C][/ROW]
[ROW][C]205[/C][C]3245271[/C][C]9298704.83298652[/C][C]-6053433.83298652[/C][/ROW]
[ROW][C]206[/C][C]2387251[/C][C]11425325.3329865[/C][C]-9038074.33298653[/C][/ROW]
[ROW][C]207[/C][C]2174886[/C][C]8054473.79965319[/C][C]-5879587.79965319[/C][/ROW]
[ROW][C]208[/C][C]3436080[/C][C]7377975.06631986[/C][C]-3941895.06631986[/C][/ROW]
[ROW][C]209[/C][C]3738956[/C][C]7713086.94441141[/C][C]-3974130.94441141[/C][/ROW]
[ROW][C]210[/C][C]1884730[/C][C]7419987.56510107[/C][C]-5535257.56510107[/C][/ROW]
[ROW][C]211[/C][C]1509144[/C][C]10052430.151308[/C][C]-8543286.15130797[/C][/ROW]
[ROW][C]212[/C][C]42728366[/C][C]13156436.4616528[/C][C]29571929.5383472[/C][/ROW]
[ROW][C]213[/C][C]3446317[/C][C]11826591.8409631[/C][C]-8380274.84096314[/C][/ROW]
[ROW][C]214[/C][C]4600683[/C][C]10334639.151308[/C][C]-5733956.15130797[/C][/ROW]
[ROW][C]215[/C][C]2953615[/C][C]8885217.15130797[/C][C]-5931602.15130797[/C][/ROW]
[ROW][C]216[/C][C]3570060[/C][C]9900707.70303211[/C][C]-6330647.70303211[/C][/ROW]
[ROW][C]217[/C][C]2130208[/C][C]9326789.36618114[/C][C]-7196581.36618113[/C][/ROW]
[ROW][C]218[/C][C]2442943[/C][C]11453409.8661811[/C][C]-9010466.86618114[/C][/ROW]
[ROW][C]219[/C][C]4892020[/C][C]8082558.3328478[/C][C]-3190538.3328478[/C][/ROW]
[ROW][C]220[/C][C]3222192[/C][C]7406059.59951447[/C][C]-4183867.59951447[/C][/ROW]
[ROW][C]221[/C][C]3121617[/C][C]7741171.47760602[/C][C]-4619554.47760602[/C][/ROW]
[ROW][C]222[/C][C]3665542[/C][C]7448072.09829568[/C][C]-3782530.09829568[/C][/ROW]
[ROW][C]223[/C][C]5519432[/C][C]10080514.6845026[/C][C]-4561082.68450258[/C][/ROW]
[ROW][C]224[/C][C]4113468[/C][C]13184520.9948474[/C][C]-9071052.9948474[/C][/ROW]
[ROW][C]225[/C][C]1714614[/C][C]11854676.3741577[/C][C]-10140062.3741577[/C][/ROW]
[ROW][C]226[/C][C]3651985[/C][C]10362723.6845026[/C][C]-6710738.68450258[/C][/ROW]
[ROW][C]227[/C][C]2419548[/C][C]8913301.68450258[/C][C]-6493753.68450258[/C][/ROW]
[ROW][C]228[/C][C]2378854[/C][C]9928792.23622672[/C][C]-7549938.23622672[/C][/ROW]
[ROW][C]229[/C][C]2303949[/C][C]9354873.89937574[/C][C]-7050924.89937574[/C][/ROW]
[ROW][C]230[/C][C]2555534[/C][C]11481494.3993757[/C][C]-8925960.39937574[/C][/ROW]
[ROW][C]231[/C][C]1713005[/C][C]8110642.86604241[/C][C]-6397637.86604241[/C][/ROW]
[ROW][C]232[/C][C]1705960[/C][C]7434144.13270908[/C][C]-5728184.13270908[/C][/ROW]
[ROW][C]233[/C][C]6115046[/C][C]7769256.01080063[/C][C]-1654210.01080063[/C][/ROW]
[ROW][C]234[/C][C]3951044[/C][C]7476156.63149029[/C][C]-3525112.63149029[/C][/ROW]
[ROW][C]235[/C][C]3785568[/C][C]10108599.2176972[/C][C]-6323031.21769719[/C][/ROW]
[ROW][C]236[/C][C]4670530[/C][C]13212605.528042[/C][C]-8542075.52804201[/C][/ROW]
[ROW][C]237[/C][C]2265100[/C][C]11882760.9073524[/C][C]-9617660.90735236[/C][/ROW]
[ROW][C]238[/C][C]1105643[/C][C]10390808.2176972[/C][C]-9285165.21769719[/C][/ROW]
[ROW][C]239[/C][C]2814152[/C][C]8941386.21769719[/C][C]-6127234.21769719[/C][/ROW]
[ROW][C]240[/C][C]3728673[/C][C]9956876.76942133[/C][C]-6228203.76942133[/C][/ROW]
[ROW][C]241[/C][C]2038949[/C][C]9382958.43257035[/C][C]-7344009.43257035[/C][/ROW]
[ROW][C]242[/C][C]2402919[/C][C]11509578.9325704[/C][C]-9106659.93257036[/C][/ROW]
[ROW][C]243[/C][C]2348814[/C][C]8138727.39923702[/C][C]-5789913.39923702[/C][/ROW]
[ROW][C]244[/C][C]2797822[/C][C]7462228.66590369[/C][C]-4664406.66590369[/C][/ROW]
[ROW][C]245[/C][C]902505[/C][C]7797340.54399525[/C][C]-6894835.54399525[/C][/ROW]
[ROW][C]246[/C][C]1331319[/C][C]7504241.1646849[/C][C]-6172922.1646849[/C][/ROW]
[ROW][C]247[/C][C]4204238[/C][C]10136683.7508918[/C][C]-5932445.7508918[/C][/ROW]
[ROW][C]248[/C][C]2212485[/C][C]13240690.0612366[/C][C]-11028205.0612366[/C][/ROW]
[ROW][C]249[/C][C]6797382[/C][C]11910845.440547[/C][C]-5113463.44054697[/C][/ROW]
[ROW][C]250[/C][C]4532324[/C][C]10418892.7508918[/C][C]-5886568.7508918[/C][/ROW]
[ROW][C]251[/C][C]1778808[/C][C]8969470.7508918[/C][C]-7190662.7508918[/C][/ROW]
[ROW][C]252[/C][C]1890720[/C][C]9984961.30261594[/C][C]-8094241.30261594[/C][/ROW]
[ROW][C]253[/C][C]5463736[/C][C]9411042.96576496[/C][C]-3947306.96576496[/C][/ROW]
[ROW][C]254[/C][C]11368931[/C][C]11537663.465765[/C][C]-168732.465764962[/C][/ROW]
[ROW][C]255[/C][C]2040164[/C][C]8166811.93243163[/C][C]-6126647.93243163[/C][/ROW]
[ROW][C]256[/C][C]4276399[/C][C]7490313.19909829[/C][C]-3213914.1990983[/C][/ROW]
[ROW][C]257[/C][C]3714445[/C][C]7825425.07718985[/C][C]-4110980.07718985[/C][/ROW]
[ROW][C]258[/C][C]2068168[/C][C]7532325.69787951[/C][C]-5464157.69787951[/C][/ROW]
[ROW][C]259[/C][C]1003842[/C][C]10164768.2840864[/C][C]-9160926.28408641[/C][/ROW]
[ROW][C]260[/C][C]2858535[/C][C]13268774.5944312[/C][C]-10410239.5944312[/C][/ROW]
[ROW][C]261[/C][C]2355484[/C][C]11938929.9737416[/C][C]-9583445.97374158[/C][/ROW]
[ROW][C]262[/C][C]2719262[/C][C]10446977.2840864[/C][C]-7727715.28408641[/C][/ROW]
[ROW][C]263[/C][C]1897741[/C][C]8997555.28408641[/C][C]-7099814.28408641[/C][/ROW]
[ROW][C]264[/C][C]3945185[/C][C]10013045.8358105[/C][C]-6067860.83581055[/C][/ROW]
[ROW][C]265[/C][C]3799916[/C][C]9439127.49895957[/C][C]-5639211.49895957[/C][/ROW]
[ROW][C]266[/C][C]1017654[/C][C]11565747.9989596[/C][C]-10548093.9989596[/C][/ROW]
[ROW][C]267[/C][C]3052241[/C][C]8194896.46562624[/C][C]-5142655.46562624[/C][/ROW]
[ROW][C]268[/C][C]3932970[/C][C]7518397.7322929[/C][C]-3585427.7322929[/C][/ROW]
[ROW][C]269[/C][C]3598151[/C][C]7853509.61038446[/C][C]-4255358.61038446[/C][/ROW]
[ROW][C]270[/C][C]2296005[/C][C]7560410.23107412[/C][C]-5264405.23107412[/C][/ROW]
[ROW][C]271[/C][C]2202018[/C][C]10192852.817281[/C][C]-7990834.81728102[/C][/ROW]
[ROW][C]272[/C][C]2461777[/C][C]13296859.1276258[/C][C]-10835082.1276258[/C][/ROW]
[ROW][C]273[/C][C]2452042[/C][C]11967014.5069362[/C][C]-9514972.50693619[/C][/ROW]
[ROW][C]274[/C][C]2185142[/C][C]10475061.817281[/C][C]-8289919.81728102[/C][/ROW]
[ROW][C]275[/C][C]11968502[/C][C]9025639.81728101[/C][C]2942862.18271899[/C][/ROW]
[ROW][C]276[/C][C]20395972[/C][C]10041130.3690052[/C][C]10354841.6309948[/C][/ROW]
[ROW][C]277[/C][C]21756900[/C][C]9467212.03215418[/C][C]12289687.9678458[/C][/ROW]
[ROW][C]278[/C][C]30024300[/C][C]11593832.5321542[/C][C]18430467.4678458[/C][/ROW]
[ROW][C]279[/C][C]10811344[/C][C]8222980.99882085[/C][C]2588363.00117915[/C][/ROW]
[ROW][C]280[/C][C]1819202[/C][C]7546482.26548752[/C][C]-5727280.26548752[/C][/ROW]
[ROW][C]281[/C][C]1276885[/C][C]7881594.14357908[/C][C]-6604709.14357908[/C][/ROW]
[ROW][C]282[/C][C]2946701[/C][C]7588494.76426873[/C][C]-4641793.76426873[/C][/ROW]
[ROW][C]283[/C][C]3587459[/C][C]10220937.3504756[/C][C]-6633478.35047563[/C][/ROW]
[ROW][C]284[/C][C]2832691[/C][C]13324943.6608205[/C][C]-10492252.6608205[/C][/ROW]
[ROW][C]285[/C][C]6674805[/C][C]11995099.0401308[/C][C]-5320294.0401308[/C][/ROW]
[ROW][C]286[/C][C]3868362[/C][C]10503146.3504756[/C][C]-6634784.35047563[/C][/ROW]
[ROW][C]287[/C][C]4302909[/C][C]9053724.35047562[/C][C]-4750815.35047562[/C][/ROW]
[ROW][C]288[/C][C]23265229[/C][C]10069214.9021998[/C][C]13196014.0978002[/C][/ROW]
[ROW][C]289[/C][C]22348002[/C][C]9495296.56534879[/C][C]12852705.4346512[/C][/ROW]
[ROW][C]290[/C][C]11883953[/C][C]11621917.0653488[/C][C]262035.934651209[/C][/ROW]
[ROW][C]291[/C][C]6634979[/C][C]8251065.53201546[/C][C]-1616086.53201546[/C][/ROW]
[ROW][C]292[/C][C]2935493[/C][C]7574566.79868213[/C][C]-4639073.79868213[/C][/ROW]
[ROW][C]293[/C][C]3425669[/C][C]7909678.67677368[/C][C]-4484009.67677368[/C][/ROW]
[ROW][C]294[/C][C]1171611[/C][C]7616579.29746334[/C][C]-6444968.29746334[/C][/ROW]
[ROW][C]295[/C][C]6875879[/C][C]10249021.8836702[/C][C]-3373142.88367024[/C][/ROW]
[ROW][C]296[/C][C]19451908[/C][C]13353028.1940151[/C][C]6098879.80598494[/C][/ROW]
[ROW][C]297[/C][C]13885933[/C][C]12023183.5733254[/C][C]1862749.42667459[/C][/ROW]
[ROW][C]298[/C][C]7643317[/C][C]10531230.8836702[/C][C]-2887913.88367023[/C][/ROW]
[ROW][C]299[/C][C]10797966[/C][C]9081808.88367023[/C][C]1716157.11632977[/C][/ROW]
[ROW][C]300[/C][C]7297445[/C][C]10097299.4353944[/C][C]-2799854.43539437[/C][/ROW]
[ROW][C]301[/C][C]8739736[/C][C]9523381.0985434[/C][C]-783645.098543401[/C][/ROW]
[ROW][C]302[/C][C]12455537[/C][C]11650001.5985434[/C][C]805535.4014566[/C][/ROW]
[ROW][C]303[/C][C]24291181[/C][C]8279150.06521007[/C][C]16012030.9347899[/C][/ROW]
[ROW][C]304[/C][C]4215150[/C][C]7602651.33187673[/C][C]-3387501.33187673[/C][/ROW]
[ROW][C]305[/C][C]28652176[/C][C]7937763.20996829[/C][C]20714412.7900317[/C][/ROW]
[ROW][C]306[/C][C]6851172[/C][C]7644663.83065795[/C][C]-793491.830657947[/C][/ROW]
[ROW][C]307[/C][C]3746871[/C][C]10277106.4168648[/C][C]-6530235.41686484[/C][/ROW]
[ROW][C]308[/C][C]7327861[/C][C]13381112.7272097[/C][C]-6053251.72720967[/C][/ROW]
[ROW][C]309[/C][C]16829710[/C][C]12051268.10652[/C][C]4778441.89347998[/C][/ROW]
[ROW][C]310[/C][C]13778594[/C][C]10559315.4168648[/C][C]3219278.58313516[/C][/ROW]
[ROW][C]311[/C][C]6463717[/C][C]9109893.41686484[/C][C]-2646176.41686484[/C][/ROW]
[ROW][C]312[/C][C]8956867[/C][C]10125383.968589[/C][C]-1168516.96858898[/C][/ROW]
[ROW][C]313[/C][C]21204915[/C][C]9551465.63173801[/C][C]11653449.368262[/C][/ROW]
[ROW][C]314[/C][C]16115855[/C][C]11678086.131738[/C][C]4437768.86826199[/C][/ROW]
[ROW][C]315[/C][C]2536113[/C][C]8307234.59840468[/C][C]-5771121.59840468[/C][/ROW]
[ROW][C]316[/C][C]16645717[/C][C]7630735.86507134[/C][C]9014981.13492866[/C][/ROW]
[ROW][C]317[/C][C]17003730[/C][C]7965847.7431629[/C][C]9037882.2568371[/C][/ROW]
[ROW][C]318[/C][C]15969006[/C][C]7672748.36385256[/C][C]8296257.63614744[/C][/ROW]
[ROW][C]319[/C][C]31020427[/C][C]10305190.9500594[/C][C]20715236.0499406[/C][/ROW]
[ROW][C]320[/C][C]23798897[/C][C]13409197.2604043[/C][C]10389699.7395957[/C][/ROW]
[ROW][C]321[/C][C]20770321[/C][C]12079352.6397146[/C][C]8690968.36028538[/C][/ROW]
[ROW][C]322[/C][C]44410402[/C][C]10587399.9500595[/C][C]33823002.0499405[/C][/ROW]
[ROW][C]323[/C][C]27037491[/C][C]9137977.95005944[/C][C]17899513.0499406[/C][/ROW]
[ROW][C]324[/C][C]29627771[/C][C]10153468.5017836[/C][C]19474302.4982164[/C][/ROW]
[ROW][C]325[/C][C]18189792[/C][C]9579550.16493262[/C][C]8610241.83506738[/C][/ROW]
[ROW][C]326[/C][C]4654610[/C][C]11706170.6649326[/C][C]-7051560.66493262[/C][/ROW]
[ROW][C]327[/C][C]12307201[/C][C]8335319.13159929[/C][C]3971881.86840071[/C][/ROW]
[ROW][C]328[/C][C]15300578[/C][C]7658820.39826596[/C][C]7641757.60173404[/C][/ROW]
[ROW][C]329[/C][C]10623864[/C][C]7993932.27635751[/C][C]2629931.72364249[/C][/ROW]
[ROW][C]330[/C][C]6880178[/C][C]7700832.89704717[/C][C]-820654.897047166[/C][/ROW]
[ROW][C]331[/C][C]29947357[/C][C]10333275.4832541[/C][C]19614081.5167459[/C][/ROW]
[ROW][C]332[/C][C]18611399[/C][C]13437281.7935989[/C][C]5174117.20640111[/C][/ROW]
[ROW][C]333[/C][C]42432604[/C][C]12107437.1729092[/C][C]30325166.8270908[/C][/ROW]
[ROW][C]334[/C][C]20208278[/C][C]10615484.4832541[/C][C]9592793.51674594[/C][/ROW]
[ROW][C]335[/C][C]14004392[/C][C]9166062.48325406[/C][C]4838329.51674594[/C][/ROW]
[ROW][C]336[/C][C]25737765[/C][C]10181553.0349782[/C][C]15556211.9650218[/C][/ROW]
[ROW][C]337[/C][C]16735738[/C][C]9607634.69812723[/C][C]7128103.30187277[/C][/ROW]
[ROW][C]338[/C][C]22450825[/C][C]11734255.1981272[/C][C]10716569.8018728[/C][/ROW]
[ROW][C]339[/C][C]6880840[/C][C]8363403.6647939[/C][C]-1482563.6647939[/C][/ROW]
[ROW][C]340[/C][C]8510379[/C][C]7686904.93146056[/C][C]823474.068539438[/C][/ROW]
[ROW][C]341[/C][C]8182481[/C][C]8022016.80955212[/C][C]160464.19044788[/C][/ROW]
[ROW][C]342[/C][C]10948683[/C][C]7728917.43024177[/C][C]3219765.56975822[/C][/ROW]
[ROW][C]343[/C][C]4805277[/C][C]10361360.0164487[/C][C]-5556083.01644867[/C][/ROW]
[ROW][C]344[/C][C]2589229[/C][C]13465366.3267935[/C][C]-10876137.3267935[/C][/ROW]
[ROW][C]345[/C][C]5658407[/C][C]12135521.7061038[/C][C]-6477114.70610384[/C][/ROW]
[ROW][C]346[/C][C]12862611[/C][C]10643569.0164487[/C][C]2219041.98355133[/C][/ROW]
[ROW][C]347[/C][C]5666188[/C][C]9194147.01644867[/C][C]-3527959.01644867[/C][/ROW]
[ROW][C]348[/C][C]6875556[/C][C]10209637.5681728[/C][C]-3334081.56817281[/C][/ROW]
[ROW][C]349[/C][C]7098766[/C][C]9635719.23132184[/C][C]-2536953.23132184[/C][/ROW]
[ROW][C]350[/C][C]36083309[/C][C]11762339.7313218[/C][C]24320969.2686782[/C][/ROW]
[ROW][C]351[/C][C]10200330[/C][C]8391488.19798851[/C][C]1808841.80201149[/C][/ROW]
[ROW][C]352[/C][C]7784976[/C][C]7714989.46465517[/C][C]69986.5353448281[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197792&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197792&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
114835098821267.76867813-7337758.76867813
2803655410947888.2686782-2911334.26867816
346230937577036.73534483-2953943.73534482
455286626900538.0020115-1371876.0020115
542210327235649.88010305-3014617.88010305
680618476942550.500792711119296.49920729
776400669574993.08699961-1934927.08699961
8293553312678999.3973444-9743466.39734443
9816154811349154.7766548-3187606.77665477
1025439679857202.0869996-7313235.0869996
11131634508407780.086999614755669.91300039
1233484369423270.63872374-6074834.63872374
1339974408849352.30187277-4851912.30187277
14232291110975972.8018728-8653061.80187277
1520194577605121.26853944-5585664.26853944
1630477486928622.5352061-3880874.5352061
1757287677263734.41329766-1534967.41329766
1826051736970635.03398732-4365462.03398732
1956467439603077.62019421-3956334.62019421
201312154412707083.930539414460.06946096
21345340911377239.3098494-7923830.30984939
2218783339885286.62019422-8006953.62019422
2342473628435864.62019421-4188502.62019421
24230225529451355.1719183513571196.8280816
2576462038877436.83506738-1231233.83506738
26901660211004057.3350674-1987455.33506738
2736065687633205.80173405-4026637.80173405
2831735106956707.06840071-3783197.06840071
29175687727291818.9464922710276953.0535077
30108050456998719.567181933806325.43281807
31310562699631162.1533888221425106.8466112
321562338512735168.46373372888216.53626635
33666344311405323.843044-4741880.84304399
34354357459913371.1533888125522373.8466112
3528232508463949.15338882-5640699.15338883
3651970899479439.70511296-4282350.70511296
3741206328905521.36826199-4784889.36826199
38883276711032141.868262-2199374.86826199
3936953747661290.33492866-3965916.33492866
4083858056984791.601595321401013.39840468
4137779047319903.47968688-3541999.47968688
4251995327026804.10037654-1827272.10037654
4352972759659246.68658343-4361971.68658343
441484738212763252.99692832084129.00307174
45590015811433408.3762386-5533250.37623861
4644167189941455.68658343-5524737.68658343
4739264298492033.68658343-4565604.68658343
4848768849507524.23830757-4630640.23830757
4927952978933605.9014566-6138308.9014566
50338552711060226.4014566-7674699.4014566
5138779417689374.86812327-3811433.86812327
5235567297012876.13478993-3456147.13478993
5349828367347988.01288149-2365152.01288149
5429763257054888.63357115-4078563.63357115
5522950269687331.21977805-7392305.21977805
56221875212791337.5301229-10572585.5301229
57414606211461492.9094332-7315430.90943322
5833020919969540.21977804-6667449.21977804
5938645058520118.21977804-4655613.21977804
6054547949535608.77150218-4080814.77150218
6117498368961690.43465121-7211854.43465121
62668404811088310.9346512-4404262.93465121
6328099187717459.40131788-4907541.40131788
6440926647040960.66798454-2948296.66798454
6550704707376072.5460761-2305602.5460761
6698144777082973.166765762731503.83323424
6766653189715415.75297265-3050097.75297265
68391255412819422.0633175-8906868.06331748
69618812911489577.4426278-5301448.44262782
7036279919997624.75297265-6369633.75297265
7133087678548202.75297265-5239435.75297265
7238203329563693.30469679-5743361.30469679
7349329798989774.96784582-4056795.96784582
74556791711116395.4678458-5548478.46784582
7550208147745543.93451249-2724729.93451249
7638032737069045.20117915-3265772.20117915
7739999847404157.07927071-3404173.07927071
7848831047111057.69996036-2227953.69996036
79137317479743500.286167263988246.71383274
804753182412847506.596512134684317.4034879
81841557011517661.9758224-3102091.97582243
822217815810025709.286167312152448.7138327
83612116548576287.2861672752635366.7138327
84182237489591777.83789148631970.1621086
85176780859017859.501040438660225.49895957
864929958011144480.001040438155099.9989596
87258999487773628.467707118126319.5322929
88341217547097129.7343737527024624.2656262
8998592317432241.612465322426989.38753468
90297408927139142.2331549722601749.766845
91210852129771584.8193618711313627.1806381
924300386612875591.129706730128274.8702933
935954924711545746.509017148003500.4909829
941802646510053793.81936197972671.18063813
9546805978604371.81936187-3923774.81936187
9655647289619862.37108601-4055134.37108601
97117923479045944.034235042746402.96576496
981037162411172564.534235-800940.534235037
9937284467801713.0009017-4073267.00090171
10057329787125214.26756837-1392236.26756837
10140676387460326.14565993-3392688.14565993
10223955087167226.76634959-4771718.76634959
10350188019799669.35255648-4780868.35255648
1042206888812903675.66290139165212.33709869
105767858011573831.0422117-3895251.04221165
1061551009510081878.35255655428216.64744352
10764712398632456.35255648-2161217.35255648
108143492049647946.904280624701257.09571938
109351515749074028.5674296526077545.4325703
110821048811200649.0674296-2990161.06742965
11150226647829797.53409631-2807133.53409631
112139968717153298.800762986843572.19923702
113128224317488410.678854545334020.32114546
114140115527195311.29954426816240.7004558
115202609809827753.8857510910433226.1142489
1162371897612931760.196095910787215.8039041
1174583304911601915.575406334231133.4245937
1183068842010109962.885751120578457.1142489
119165760628660540.885751097915521.11424891
120148444059676031.437475235168373.56252477
121167282869102113.100624267626172.89937574
1224347768011228733.600624332248946.3993757
123574974277857882.0672909249639544.9327091
124242337267181383.3339575917052342.6660424
125249212087516495.2120491517404712.7879508
12695167257223395.83273882293329.1672612
127279772399855838.4189456918121400.5810543
1282163204612959844.72929058672201.27070947
1292295680911630000.108600911326808.8913991
130970432410138047.4189457-433723.4189457
131198711498688625.418945711182523.5810543
13255538429704115.97066984-4150273.97066984
13356678589130197.63381887-3462339.63381887
134434818811256818.1338189-6908630.13381886
135100250427885966.600485532139075.39951447
136106397967209467.86715223430328.1328478
13786391847544579.745243761094604.25475624
138107643787251480.365933413512897.63406659
139120977339883922.952140312213810.04785969
140398841412987929.2624851-8999515.26248514
141460710211658084.6417955-7050982.64179548
142712689510166131.9521403-3039236.95214031
14360096258716709.95214031-2707084.95214031
144215332379732200.5038644511801036.4961356
14559867719158282.16701348-3171511.16701348
146545531011284902.6670135-5829592.66701347
14718228747914051.13368014-6091177.13368014
14833740627237552.40034681-3863490.40034681
14929207487572664.27843837-4651916.27843837
15022959427279564.89912802-4983622.89912802
15168098299912007.48533492-3102178.48533492
152331828113016013.7956797-9697732.79567975
1531378464511686169.17499012098475.82500991
154736657710194216.4853349-2827639.48533492
15516286378744794.48533492-7116157.48533492
15642589769760285.03705906-5501309.03705906
15771597799186366.70020809-2026587.70020809
158809840111312987.2002081-3214586.20020808
15968942407942135.66687475-1047895.66687475
16037712467265636.93354142-3494390.93354142
16132497267600748.81163298-4351022.81163298
16231473807307649.43232263-4160269.43232263
16340630379940092.01852953-5877055.01852953
164962191613044098.3288744-3422182.32887436
165589015811714253.7081847-5824095.7081847
166214290110222301.0185295-8079400.01852953
16731450078772879.01852953-5627872.01852953
16815621689788369.57025367-8226201.57025367
16933031039214451.2334027-5911348.2334027
170588691011341071.7334027-5454161.73340269
17134542707970220.20006936-4515950.20006936
17269953487293721.46673603-298373.466736029
17364878697628833.34482759-1140964.34482759
174120919767335733.965517244756242.03448276
17539346259968176.55172414-6033551.55172414
176399974913072182.862069-9072433.86206897
177361352611742338.2413793-8128812.24137931
178427170610250385.5517241-5978679.55172414
17942533908800963.55172414-4547573.55172414
18055515919816454.10344828-4264863.10344828
18146630419242535.7665973-4579494.76659731
182210410411369156.2665973-9265052.26659731
18353853997998304.73326397-2612905.73326397
18462058777321805.99993064-1115928.99993064
18575295007656917.8780222-127417.878022195
186172227057363818.498711859858886.50128815
18762309139996261.08491875-3765348.08491875
188650827513100267.3952636-6591992.39526358
189451888411770422.7745739-7251538.77457392
190423499110278470.0849187-6043479.08491875
19156253888829048.08491874-3203660.08491875
19258101399844538.63664288-4034399.63664289
19369421879270620.29979192-2328433.29979191
194371118811397240.7997919-7686052.79979191
19542612818026389.26645858-3765108.26645858
19619899457349890.53312525-5359945.53312525
19750333427685002.4112168-2651660.4112168
19872395657391903.03190646-152338.03190646
1991105879510024345.61811341034449.38188664
200738477213128351.9284582-5743579.92845818
201388477111798507.3077685-7913736.30776853
202323920110306554.6181134-7067353.61811336
20323164038857132.61811336-6540729.61811336
20440349479872623.1698375-5837676.1698375
20532452719298704.83298652-6053433.83298652
206238725111425325.3329865-9038074.33298653
20721748868054473.79965319-5879587.79965319
20834360807377975.06631986-3941895.06631986
20937389567713086.94441141-3974130.94441141
21018847307419987.56510107-5535257.56510107
211150914410052430.151308-8543286.15130797
2124272836613156436.461652829571929.5383472
213344631711826591.8409631-8380274.84096314
214460068310334639.151308-5733956.15130797
21529536158885217.15130797-5931602.15130797
21635700609900707.70303211-6330647.70303211
21721302089326789.36618114-7196581.36618113
218244294311453409.8661811-9010466.86618114
21948920208082558.3328478-3190538.3328478
22032221927406059.59951447-4183867.59951447
22131216177741171.47760602-4619554.47760602
22236655427448072.09829568-3782530.09829568
223551943210080514.6845026-4561082.68450258
224411346813184520.9948474-9071052.9948474
225171461411854676.3741577-10140062.3741577
226365198510362723.6845026-6710738.68450258
22724195488913301.68450258-6493753.68450258
22823788549928792.23622672-7549938.23622672
22923039499354873.89937574-7050924.89937574
230255553411481494.3993757-8925960.39937574
23117130058110642.86604241-6397637.86604241
23217059607434144.13270908-5728184.13270908
23361150467769256.01080063-1654210.01080063
23439510447476156.63149029-3525112.63149029
235378556810108599.2176972-6323031.21769719
236467053013212605.528042-8542075.52804201
237226510011882760.9073524-9617660.90735236
238110564310390808.2176972-9285165.21769719
23928141528941386.21769719-6127234.21769719
24037286739956876.76942133-6228203.76942133
24120389499382958.43257035-7344009.43257035
242240291911509578.9325704-9106659.93257036
24323488148138727.39923702-5789913.39923702
24427978227462228.66590369-4664406.66590369
2459025057797340.54399525-6894835.54399525
24613313197504241.1646849-6172922.1646849
247420423810136683.7508918-5932445.7508918
248221248513240690.0612366-11028205.0612366
249679738211910845.440547-5113463.44054697
250453232410418892.7508918-5886568.7508918
25117788088969470.7508918-7190662.7508918
25218907209984961.30261594-8094241.30261594
25354637369411042.96576496-3947306.96576496
2541136893111537663.465765-168732.465764962
25520401648166811.93243163-6126647.93243163
25642763997490313.19909829-3213914.1990983
25737144457825425.07718985-4110980.07718985
25820681687532325.69787951-5464157.69787951
259100384210164768.2840864-9160926.28408641
260285853513268774.5944312-10410239.5944312
261235548411938929.9737416-9583445.97374158
262271926210446977.2840864-7727715.28408641
26318977418997555.28408641-7099814.28408641
264394518510013045.8358105-6067860.83581055
26537999169439127.49895957-5639211.49895957
266101765411565747.9989596-10548093.9989596
26730522418194896.46562624-5142655.46562624
26839329707518397.7322929-3585427.7322929
26935981517853509.61038446-4255358.61038446
27022960057560410.23107412-5264405.23107412
271220201810192852.817281-7990834.81728102
272246177713296859.1276258-10835082.1276258
273245204211967014.5069362-9514972.50693619
274218514210475061.817281-8289919.81728102
275119685029025639.817281012942862.18271899
2762039597210041130.369005210354841.6309948
277217569009467212.0321541812289687.9678458
2783002430011593832.532154218430467.4678458
279108113448222980.998820852588363.00117915
28018192027546482.26548752-5727280.26548752
28112768857881594.14357908-6604709.14357908
28229467017588494.76426873-4641793.76426873
283358745910220937.3504756-6633478.35047563
284283269113324943.6608205-10492252.6608205
285667480511995099.0401308-5320294.0401308
286386836210503146.3504756-6634784.35047563
28743029099053724.35047562-4750815.35047562
2882326522910069214.902199813196014.0978002
289223480029495296.5653487912852705.4346512
2901188395311621917.0653488262035.934651209
29166349798251065.53201546-1616086.53201546
29229354937574566.79868213-4639073.79868213
29334256697909678.67677368-4484009.67677368
29411716117616579.29746334-6444968.29746334
295687587910249021.8836702-3373142.88367024
2961945190813353028.19401516098879.80598494
2971388593312023183.57332541862749.42667459
298764331710531230.8836702-2887913.88367023
299107979669081808.883670231716157.11632977
300729744510097299.4353944-2799854.43539437
30187397369523381.0985434-783645.098543401
3021245553711650001.5985434805535.4014566
303242911818279150.0652100716012030.9347899
30442151507602651.33187673-3387501.33187673
305286521767937763.2099682920714412.7900317
30668511727644663.83065795-793491.830657947
307374687110277106.4168648-6530235.41686484
308732786113381112.7272097-6053251.72720967
3091682971012051268.106524778441.89347998
3101377859410559315.41686483219278.58313516
31164637179109893.41686484-2646176.41686484
312895686710125383.968589-1168516.96858898
313212049159551465.6317380111653449.368262
3141611585511678086.1317384437768.86826199
31525361138307234.59840468-5771121.59840468
316166457177630735.865071349014981.13492866
317170037307965847.74316299037882.2568371
318159690067672748.363852568296257.63614744
3193102042710305190.950059420715236.0499406
3202379889713409197.260404310389699.7395957
3212077032112079352.63971468690968.36028538
3224441040210587399.950059533823002.0499405
323270374919137977.9500594417899513.0499406
3242962777110153468.501783619474302.4982164
325181897929579550.164932628610241.83506738
326465461011706170.6649326-7051560.66493262
327123072018335319.131599293971881.86840071
328153005787658820.398265967641757.60173404
329106238647993932.276357512629931.72364249
33068801787700832.89704717-820654.897047166
3312994735710333275.483254119614081.5167459
3321861139913437281.79359895174117.20640111
3334243260412107437.172909230325166.8270908
3342020827810615484.48325419592793.51674594
335140043929166062.483254064838329.51674594
3362573776510181553.034978215556211.9650218
337167357389607634.698127237128103.30187277
3382245082511734255.198127210716569.8018728
33968808408363403.6647939-1482563.6647939
34085103797686904.93146056823474.068539438
34181824818022016.80955212160464.19044788
342109486837728917.430241773219765.56975822
343480527710361360.0164487-5556083.01644867
344258922913465366.3267935-10876137.3267935
345565840712135521.7061038-6477114.70610384
3461286261110643569.01644872219041.98355133
34756661889194147.01644867-3527959.01644867
348687555610209637.5681728-3334081.56817281
34970987669635719.23132184-2536953.23132184
3503608330911762339.731321824320969.2686782
351102003308391488.197988511808841.80201149
35277849767714989.4646551769986.5353448281







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.015883218386890.03176643677378010.98411678161311
170.004854596280460660.009709192560921330.995145403719539
180.001783804013152960.003567608026305910.998216195986847
190.0003584152463361780.0007168304926723570.999641584753664
200.003165331833153640.006330663666307270.996834668166846
210.001330800897690860.002661601795381720.998669199102309
220.0004138736807458580.0008277473614917160.999586126319254
230.000376667742284620.0007533354845692410.999623332257715
240.01025551747269910.02051103494539810.989744482527301
250.005820236076007020.0116404721520140.994179763923993
260.002923349318478290.005846698636956580.997076650681522
270.001367490029331720.002734980058663440.998632509970668
280.0006496228110755660.001299245622151130.999350377188924
290.001011705131845680.002023410263691350.998988294868154
300.0005132467630568190.001026493526113640.999486753236943
310.006983427760356090.01396685552071220.993016572239644
320.004136135315192730.008272270630385470.995863864684807
330.002528956351434170.005057912702868340.997471043648566
340.04585162614672740.09170325229345480.954148373853273
350.04852249332407180.09704498664814360.951477506675928
360.05513850554497710.1102770110899540.944861494455023
370.04443075302540650.0888615060508130.955569246974594
380.0322423797752320.0644847595504640.967757620224768
390.02425338089502820.04850676179005650.975746619104972
400.01653355121236420.03306710242472840.983466448787636
410.01588180289226150.03176360578452310.984118197107739
420.01214119263544540.02428238527089080.987858807364555
430.01452167137511320.02904334275022630.985478328624887
440.009930962811456890.01986192562291380.990069037188543
450.006958750112904980.013917500225810.993041249887095
460.00745333757489230.01490667514978460.992546662425108
470.005461951375583770.01092390275116750.994538048624416
480.00445431704868420.00890863409736840.995545682951316
490.003117794072788820.006235588145577640.996882205927211
500.002327675213760170.004655350427520340.99767232478624
510.00152346430513470.003046928610269410.998476535694865
520.001009452811766320.002018905623532650.998990547188234
530.0006825073568427380.001365014713685480.999317492643157
540.0004719444107438950.000943888821487790.999528055589256
550.0005062686419884510.00101253728397690.999493731358012
560.0004985195564424440.0009970391128848870.999501480443558
570.0003275317850016820.0006550635700033640.999672468214998
580.0002661763460364090.0005323526920728180.999733823653964
590.0001693752140912960.0003387504281825920.999830624785909
600.0001092411897150560.0002184823794301130.999890758810285
616.97359023324083e-050.0001394718046648170.999930264097668
624.36468688320218e-058.72937376640437e-050.999956353131168
632.67713844849661e-055.35427689699323e-050.999973228615515
641.60365918534053e-053.20731837068105e-050.999983963408147
659.49414831985528e-061.89882966397106e-050.99999050585168
666.43189594580559e-061.28637918916112e-050.999993568104054
673.91356342423767e-067.82712684847534e-060.999996086436576
682.76647632629687e-065.53295265259374e-060.999997233523674
691.67333391346354e-063.34666782692708e-060.999998326666087
701.1338378702779e-062.26767574055579e-060.99999886616213
716.63319463491145e-071.32663892698229e-060.999999336680537
724.104400197076e-078.208800394152e-070.99999958955998
732.52093276884473e-075.04186553768945e-070.999999747906723
741.46634010169291e-072.93268020338581e-070.99999985336599
758.83411318800756e-081.76682263760151e-070.999999911658868
764.91536870515676e-089.83073741031352e-080.999999950846313
772.73689360615715e-085.47378721231431e-080.999999972631064
781.47520003836271e-082.95040007672542e-080.999999985248
799.89940673058202e-091.9798813461164e-080.999999990100593
800.0001031377926010660.0002062755852021330.999896862207399
817.16528714755461e-050.0001433057429510920.999928347128524
820.0001010539604635790.0002021079209271580.999898946039536
830.1649396915226360.3298793830452720.835060308477364
840.1537833635862540.3075667271725090.846216636413746
850.1503874450342250.3007748900684510.849612554965774
860.5302072791145120.9395854417709760.469792720885488
870.5798101583952740.8403796832094510.420189841604726
880.7128400213750040.5743199572499920.287159978624996
890.6825547611968940.6348904776062110.317445238803106
900.7398381604701710.5203236790596570.260161839529829
910.7211430737857290.5577138524285420.278856926214271
920.8305352544698560.3389294910602890.169464745530144
930.9925418100440180.01491637991196360.00745818995598179
940.9910474949112860.01790501017742730.00895250508871366
950.9922558598749580.01548828025008340.0077441401250417
960.9918674615291970.01626507694160660.00813253847080328
970.9898494571751920.02030108564961630.0101505428248082
980.9887649576405080.02247008471898390.011235042359492
990.988072920938170.02385415812366030.0119270790618302
1000.9869823858008480.02603522839830360.0130176141991518
1010.9859140735159910.02817185296801840.0140859264840092
1020.9862999934145040.02740001317099260.0137000065854963
1030.9863899782718220.02722004345635580.0136100217281779
1040.984740792891730.03051841421654080.0152592071082704
1050.98390723040340.03218553919319990.0160927695965999
1060.9808248108998820.03835037820023540.0191751891001177
1070.9797623864745690.04047522705086290.0202376135254315
1080.9756294824510140.04874103509797160.0243705175489858
1090.9888137222707420.02237255545851540.0111862777292577
1100.9877583115411740.02448337691765150.0122416884588257
1110.9859676941290240.0280646117419530.0140323058709765
1120.9835093512086640.03298129758267150.0164906487913358
1130.9802578878386320.03948422432273630.0197421121613682
1140.9771308123406190.04573837531876250.0228691876593812
1150.9750869212692460.04982615746150710.0249130787307535
1160.9740950690620360.05180986187592770.0259049309379639
1170.9950330687513140.009933862497372880.00496693124868644
1180.9968748634603090.00625027307938250.00312513653969125
1190.9965406193952890.006918761209421330.00345938060471067
1200.9958480554945990.008303889010801090.00415194450540055
1210.9952543717858440.00949125642831260.0047456282141563
1220.9992963181244680.001407363751064120.000703681875532059
1230.9999996093019747.81396051238884e-073.90698025619442e-07
1240.9999998233722633.5325547421055e-071.76627737105275e-07
1250.9999999255704941.48859012839333e-077.44295064196665e-08
1260.9999999180100741.63979851465899e-078.19899257329493e-08
1270.9999999754440044.91119913436713e-082.45559956718357e-08
1280.9999999847295563.05408888506781e-081.5270444425339e-08
1290.9999999916663171.66673666291873e-088.33368331459367e-09
1300.9999999922793781.54412444842752e-087.72062224213758e-09
1310.999999995875718.24858092396107e-094.12429046198054e-09
1320.99999999561728.76559981183323e-094.38279990591661e-09
1330.9999999954942099.0115817732468e-094.5057908866234e-09
1340.9999999966977376.6045255181871e-093.30226275909355e-09
1350.9999999967578156.48436932331557e-093.24218466165778e-09
1360.9999999969358366.12832890962384e-093.06416445481192e-09
1370.9999999965312916.93741776078526e-093.46870888039263e-09
1380.9999999964826327.03473541695907e-093.51736770847953e-09
1390.9999999967158096.56838235946055e-093.28419117973027e-09
1400.9999999982169573.56608683333482e-091.78304341666741e-09
1410.9999999986342952.73141031671007e-091.36570515835504e-09
1420.9999999985762072.84758575737731e-091.42379287868865e-09
1430.9999999985731762.85364770459303e-091.42682385229652e-09
1440.9999999993064641.3870711612845e-096.9353558064225e-10
1450.9999999991407161.71856840693343e-098.59284203466717e-10
1460.9999999991067591.78648239646562e-098.9324119823281e-10
1470.9999999991041951.79161008524133e-098.95805042620665e-10
1480.9999999990194931.9610138651419e-099.80506932570952e-10
1490.9999999988135282.37294415362187e-091.18647207681093e-09
1500.9999999986185112.76297906581062e-091.38148953290531e-09
1510.9999999984621423.07571640048833e-091.53785820024417e-09
1520.9999999987878732.42425316143952e-091.21212658071976e-09
1530.9999999988332032.33359304027984e-091.16679652013992e-09
1540.999999998603762.7924809293707e-091.39624046468535e-09
1550.9999999985176362.96472732404108e-091.48236366202054e-09
1560.999999998055583.88884006673215e-091.94442003336607e-09
1570.9999999973077015.38459854304206e-092.69229927152103e-09
1580.9999999965039296.99214262052055e-093.49607131026028e-09
1590.9999999957665138.46697392041754e-094.23348696020877e-09
1600.9999999947545961.04908073158415e-085.24540365792074e-09
1610.9999999929086511.41826978841118e-087.09134894205589e-09
1620.9999999906567131.86865733007626e-089.34328665038128e-09
1630.9999999887574262.24851486138347e-081.12425743069173e-08
1640.9999999870052952.598941008338e-081.299470504169e-08
1650.9999999847071083.05857842157348e-081.52928921078674e-08
1660.9999999817745523.64508952070836e-081.82254476035418e-08
1670.9999999770675294.58649426413902e-082.29324713206951e-08
1680.9999999705335045.89329926131153e-082.94664963065577e-08
1690.9999999588535288.22929434407121e-084.11464717203561e-08
1700.9999999442196861.11560627771391e-075.57803138856956e-08
1710.9999999262968181.4740636488529e-077.37031824426451e-08
1720.9999999116318371.7673632657791e-078.83681632889551e-08
1730.9999998807626032.38474793950633e-071.19237396975316e-07
1740.999999891784392.16431219230624e-071.08215609615312e-07
1750.9999998605374132.78925173473659e-071.3946258673683e-07
1760.9999998385195533.22960894476851e-071.61480447238425e-07
1770.9999998024285383.95142923022105e-071.97571461511053e-07
1780.9999997345984755.30803049053945e-072.65401524526973e-07
1790.9999996505836246.98832752621557e-073.49416376310778e-07
1800.9999994998950541.00020989132125e-065.00104945660624e-07
1810.9999992852030811.42959383787224e-067.14796918936119e-07
1820.9999990951305141.80973897256166e-069.04869486280831e-07
1830.9999988239412652.35211746918325e-061.17605873459162e-06
1840.9999985764346992.84713060289509e-061.42356530144755e-06
1850.9999981949055083.61018898425382e-061.80509449212691e-06
1860.9999991582365271.6835269458403e-068.41763472920149e-07
1870.9999989043069872.19138602582272e-061.09569301291136e-06
1880.9999985968705922.80625881631691e-061.40312940815846e-06
1890.9999981842653183.63146936424698e-061.81573468212349e-06
1900.9999975390241094.92195178096669e-062.46097589048335e-06
1910.9999968595879356.28082413058389e-063.14041206529195e-06
1920.9999955870733928.82585321648511e-064.41292660824255e-06
1930.9999939668547971.20662904049958e-056.03314520249788e-06
1940.9999918684058561.62631882883659e-058.13159414418296e-06
1950.9999894764423672.10471152659688e-051.05235576329844e-05
1960.9999863453565392.7309286921354e-051.3654643460677e-05
1970.9999819872889443.60254221127825e-051.80127110563913e-05
1980.9999803589380333.92821239346357e-051.96410619673178e-05
1990.9999795031306814.09937386373631e-052.04968693186815e-05
2000.9999738625888045.2274822391692e-052.6137411195846e-05
2010.9999662922580346.74154839314909e-053.37077419657454e-05
2020.9999551957599448.96084801126298e-054.48042400563149e-05
2030.9999417164555890.0001165670888227225.8283544411361e-05
2040.9999204870775580.0001590258448848667.95129224424332e-05
2050.9998920782205560.00021584355888710.00010792177944355
2060.9998609499759310.0002781000481381020.000139050024069051
2070.9998194134998630.0003611730002734890.000180586500136745
2080.999774865279280.0004502694414399240.000225134720719962
2090.9997058771096970.0005882457806067050.000294122890303352
2100.9996319769199940.0007360461600111420.000368023080005571
2110.9995351746927660.0009296506144679790.000464825307233989
2120.9999982020678233.59586435494682e-061.79793217747341e-06
2130.9999975157838114.9684323783495e-062.48421618917475e-06
2140.9999964923815097.01523698110728e-063.50761849055364e-06
2150.9999952159732379.56805352683284e-064.78402676341642e-06
2160.9999930728631031.38542737934325e-056.92713689671625e-06
2170.999990095100461.98097990800218e-059.90489954001089e-06
2180.9999864180374152.7163925169613e-051.35819625848065e-05
2190.9999827924629063.44150741883373e-051.72075370941686e-05
2200.9999781129950444.37740099118389e-052.18870049559195e-05
2210.9999698235701766.0352859648457e-053.01764298242285e-05
2220.9999629744298577.40511402851453e-053.70255701425726e-05
2230.9999518761082259.62477835497426e-054.81238917748713e-05
2240.9999410536240990.0001178927518028485.89463759014241e-05
2250.9999223200631560.0001553598736885477.76799368442735e-05
2260.9998930881130270.0002138237739462220.000106911886973111
2270.9998564285407160.000287142918567460.00014357145928373
2280.9998047585351750.0003904829296501380.000195241464825069
2290.9997341253574480.0005317492851041260.000265874642552063
2300.9996532552552840.0006934894894312320.000346744744715616
2310.9995399264865440.0009201470269124130.000460073513456207
2320.9994040772072570.00119184558548690.000595922792743452
2330.9992579601649260.001484079670147450.000742039835073723
2340.9991077375939150.00178452481216950.000892262406084752
2350.9988374047925470.002325190414905360.00116259520745268
2360.9985781237469950.002843752506010920.00142187625300546
2370.9981906075003160.003618784999368690.00180939249968434
2380.9977072016733420.004585596653315510.00229279832665776
2390.9970382250513580.005923549897284980.00296177494864249
2400.996173279911210.007653440177580930.00382672008879047
2410.9951771624326440.009645675134711570.00482283756735578
2420.994214623938420.01157075212316060.00578537606158028
2430.9926556345403450.01468873091931010.00734436545965503
2440.9909179922203260.01816401555934750.00908200777967376
2450.9885755533104480.02284889337910460.0114244466895523
2460.9859056371853120.02818872562937660.0140943628146883
2470.982480642010630.03503871597874020.0175193579893701
2480.979127684022170.04174463195566080.0208723159778304
2490.9741880068949550.05162398621009090.0258119931050454
2500.9683667445079820.06326651098403580.0316332554920179
2510.9616023214574630.07679535708507450.0383976785425372
2520.9562044484917840.08759110301643140.0437955515082157
2530.9474597616532530.1050804766934940.0525402383467468
2540.9379396588609950.124120682278010.0620603411390051
2550.9260394643833240.1479210712333520.073960535616676
2560.9141331196134270.1717337607731450.0858668803865725
2570.8987241550583230.2025516898833550.101275844941677
2580.8821423259837720.2357153480324550.117857674016228
2590.8664196516193160.2671606967613670.133580348380684
2600.8485388826870480.3029222346259040.151461117312952
2610.8344780766028380.3310438467943230.165521923397161
2620.8170228058581620.3659543882836760.182977194141838
2630.7937061126992240.4125877746015520.206293887300776
2640.7775983958343560.4448032083312880.222401604165644
2650.7592906172700160.4814187654599690.240709382729984
2660.7661276227126010.4677447545747980.233872377287399
2670.7371550628391720.5256898743216560.262844937160828
2680.7050428237182950.5899143525634090.294957176281705
2690.6741846768370940.6516306463258120.325815323162906
2700.6389280063403640.7221439873192730.361071993659636
2710.6156792411869360.7686415176261280.384320758813064
2720.5917399857159630.8165200285680740.408260014284037
2730.5915570738410050.8168858523179910.408442926158995
2740.5916641695470420.8166716609059160.408335830452958
2750.5610849697562970.8778300604874060.438915030243703
2760.5547609193496160.8904781613007680.445239080650384
2770.5656192524653860.8687614950692280.434380747534614
2780.6464768923134890.7070462153730220.353523107686511
2790.6179742513909260.7640514972181480.382025748609074
2800.5807216666962240.8385566666075510.419278333303776
2810.56078684047660.87842631904680.4392131595234
2820.5206891010745330.9586217978509340.479310898925467
2830.4990567972595790.9981135945191580.500943202740421
2840.4809944727835150.961988945567030.519005527216485
2850.4712848912141880.9425697824283770.528715108785812
2860.4846888926564030.9693777853128060.515311107343597
2870.4559225615439740.9118451230879480.544077438456026
2880.4615670530347530.9231341060695070.538432946965247
2890.4702129151035210.9404258302070420.529787084896479
2900.4336278202861610.8672556405723220.566372179713839
2910.392836532786910.785673065573820.60716346721309
2920.3597709214434750.7195418428869510.640229078556525
2930.3537292598720720.7074585197441450.646270740127928
2940.3308337890602860.6616675781205720.669166210939714
2950.3173178787427930.6346357574855860.682682121257207
2960.2940623262364460.5881246524728920.705937673763554
2970.270774076079260.541548152158520.72922592392074
2980.2930288048160410.5860576096320820.706971195183959
2990.2582620933562780.5165241867125570.741737906643722
3000.2546415169689880.5092830339379760.745358483031012
3010.2373394426377880.4746788852755760.762660557362212
3020.2254170308324580.4508340616649170.774582969167542
3030.2529171963958060.5058343927916110.747082803604195
3040.2399296795560960.4798593591121920.760070320443904
3050.2830848653233170.5661697306466340.716915134676683
3060.2505245667279290.5010491334558580.749475433272071
3070.3212544006359460.6425088012718920.678745599364054
3080.3099175161092130.6198350322184260.690082483890787
3090.2963309399067810.5926618798135630.703669060093219
3100.3379929575032490.6759859150064970.662007042496751
3110.3617700771321510.7235401542643020.638229922867849
3120.4392352953972050.8784705907944110.560764704602795
3130.3939298292239570.7878596584479130.606070170776043
3140.4109120507398480.8218241014796960.589087949260152
3150.4766337226599160.9532674453198320.523366277340084
3160.434426074014370.868852148028740.56557392598563
3170.3806120398443550.761224079688710.619387960155645
3180.3280079258814710.6560158517629430.671992074118529
3190.2998085643421790.5996171286843580.700191435657821
3200.2570277084846460.5140554169692920.742972291515354
3210.2515477324213180.5030954648426360.748452267578682
3220.3630018290893440.7260036581786880.636998170910656
3230.3481531144195660.6963062288391330.651846885580434
3240.3153052306140960.6306104612281920.684694769385904
3250.2544283767999880.5088567535999760.745571623200012
3260.6471424903795780.7057150192408440.352857509620422
3270.5952795148561380.8094409702877230.404720485143862
3280.5252971304296960.9494057391406090.474702869570304
3290.4519638069588780.9039276139177550.548036193041122
3300.4398415000282810.8796830000565630.560158499971719
3310.455010008455490.910020016910980.54498999154451
3320.3761200011200650.7522400022401310.623879998879935
3330.8041204469751920.3917591060496160.195879553024808
3340.7041498414941640.5917003170116720.295850158505836
3350.5844604760172590.8310790479654830.415539523982741
3360.7326132997611110.5347734004777770.267386700238889

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
16 & 0.01588321838689 & 0.0317664367737801 & 0.98411678161311 \tabularnewline
17 & 0.00485459628046066 & 0.00970919256092133 & 0.995145403719539 \tabularnewline
18 & 0.00178380401315296 & 0.00356760802630591 & 0.998216195986847 \tabularnewline
19 & 0.000358415246336178 & 0.000716830492672357 & 0.999641584753664 \tabularnewline
20 & 0.00316533183315364 & 0.00633066366630727 & 0.996834668166846 \tabularnewline
21 & 0.00133080089769086 & 0.00266160179538172 & 0.998669199102309 \tabularnewline
22 & 0.000413873680745858 & 0.000827747361491716 & 0.999586126319254 \tabularnewline
23 & 0.00037666774228462 & 0.000753335484569241 & 0.999623332257715 \tabularnewline
24 & 0.0102555174726991 & 0.0205110349453981 & 0.989744482527301 \tabularnewline
25 & 0.00582023607600702 & 0.011640472152014 & 0.994179763923993 \tabularnewline
26 & 0.00292334931847829 & 0.00584669863695658 & 0.997076650681522 \tabularnewline
27 & 0.00136749002933172 & 0.00273498005866344 & 0.998632509970668 \tabularnewline
28 & 0.000649622811075566 & 0.00129924562215113 & 0.999350377188924 \tabularnewline
29 & 0.00101170513184568 & 0.00202341026369135 & 0.998988294868154 \tabularnewline
30 & 0.000513246763056819 & 0.00102649352611364 & 0.999486753236943 \tabularnewline
31 & 0.00698342776035609 & 0.0139668555207122 & 0.993016572239644 \tabularnewline
32 & 0.00413613531519273 & 0.00827227063038547 & 0.995863864684807 \tabularnewline
33 & 0.00252895635143417 & 0.00505791270286834 & 0.997471043648566 \tabularnewline
34 & 0.0458516261467274 & 0.0917032522934548 & 0.954148373853273 \tabularnewline
35 & 0.0485224933240718 & 0.0970449866481436 & 0.951477506675928 \tabularnewline
36 & 0.0551385055449771 & 0.110277011089954 & 0.944861494455023 \tabularnewline
37 & 0.0444307530254065 & 0.088861506050813 & 0.955569246974594 \tabularnewline
38 & 0.032242379775232 & 0.064484759550464 & 0.967757620224768 \tabularnewline
39 & 0.0242533808950282 & 0.0485067617900565 & 0.975746619104972 \tabularnewline
40 & 0.0165335512123642 & 0.0330671024247284 & 0.983466448787636 \tabularnewline
41 & 0.0158818028922615 & 0.0317636057845231 & 0.984118197107739 \tabularnewline
42 & 0.0121411926354454 & 0.0242823852708908 & 0.987858807364555 \tabularnewline
43 & 0.0145216713751132 & 0.0290433427502263 & 0.985478328624887 \tabularnewline
44 & 0.00993096281145689 & 0.0198619256229138 & 0.990069037188543 \tabularnewline
45 & 0.00695875011290498 & 0.01391750022581 & 0.993041249887095 \tabularnewline
46 & 0.0074533375748923 & 0.0149066751497846 & 0.992546662425108 \tabularnewline
47 & 0.00546195137558377 & 0.0109239027511675 & 0.994538048624416 \tabularnewline
48 & 0.0044543170486842 & 0.0089086340973684 & 0.995545682951316 \tabularnewline
49 & 0.00311779407278882 & 0.00623558814557764 & 0.996882205927211 \tabularnewline
50 & 0.00232767521376017 & 0.00465535042752034 & 0.99767232478624 \tabularnewline
51 & 0.0015234643051347 & 0.00304692861026941 & 0.998476535694865 \tabularnewline
52 & 0.00100945281176632 & 0.00201890562353265 & 0.998990547188234 \tabularnewline
53 & 0.000682507356842738 & 0.00136501471368548 & 0.999317492643157 \tabularnewline
54 & 0.000471944410743895 & 0.00094388882148779 & 0.999528055589256 \tabularnewline
55 & 0.000506268641988451 & 0.0010125372839769 & 0.999493731358012 \tabularnewline
56 & 0.000498519556442444 & 0.000997039112884887 & 0.999501480443558 \tabularnewline
57 & 0.000327531785001682 & 0.000655063570003364 & 0.999672468214998 \tabularnewline
58 & 0.000266176346036409 & 0.000532352692072818 & 0.999733823653964 \tabularnewline
59 & 0.000169375214091296 & 0.000338750428182592 & 0.999830624785909 \tabularnewline
60 & 0.000109241189715056 & 0.000218482379430113 & 0.999890758810285 \tabularnewline
61 & 6.97359023324083e-05 & 0.000139471804664817 & 0.999930264097668 \tabularnewline
62 & 4.36468688320218e-05 & 8.72937376640437e-05 & 0.999956353131168 \tabularnewline
63 & 2.67713844849661e-05 & 5.35427689699323e-05 & 0.999973228615515 \tabularnewline
64 & 1.60365918534053e-05 & 3.20731837068105e-05 & 0.999983963408147 \tabularnewline
65 & 9.49414831985528e-06 & 1.89882966397106e-05 & 0.99999050585168 \tabularnewline
66 & 6.43189594580559e-06 & 1.28637918916112e-05 & 0.999993568104054 \tabularnewline
67 & 3.91356342423767e-06 & 7.82712684847534e-06 & 0.999996086436576 \tabularnewline
68 & 2.76647632629687e-06 & 5.53295265259374e-06 & 0.999997233523674 \tabularnewline
69 & 1.67333391346354e-06 & 3.34666782692708e-06 & 0.999998326666087 \tabularnewline
70 & 1.1338378702779e-06 & 2.26767574055579e-06 & 0.99999886616213 \tabularnewline
71 & 6.63319463491145e-07 & 1.32663892698229e-06 & 0.999999336680537 \tabularnewline
72 & 4.104400197076e-07 & 8.208800394152e-07 & 0.99999958955998 \tabularnewline
73 & 2.52093276884473e-07 & 5.04186553768945e-07 & 0.999999747906723 \tabularnewline
74 & 1.46634010169291e-07 & 2.93268020338581e-07 & 0.99999985336599 \tabularnewline
75 & 8.83411318800756e-08 & 1.76682263760151e-07 & 0.999999911658868 \tabularnewline
76 & 4.91536870515676e-08 & 9.83073741031352e-08 & 0.999999950846313 \tabularnewline
77 & 2.73689360615715e-08 & 5.47378721231431e-08 & 0.999999972631064 \tabularnewline
78 & 1.47520003836271e-08 & 2.95040007672542e-08 & 0.999999985248 \tabularnewline
79 & 9.89940673058202e-09 & 1.9798813461164e-08 & 0.999999990100593 \tabularnewline
80 & 0.000103137792601066 & 0.000206275585202133 & 0.999896862207399 \tabularnewline
81 & 7.16528714755461e-05 & 0.000143305742951092 & 0.999928347128524 \tabularnewline
82 & 0.000101053960463579 & 0.000202107920927158 & 0.999898946039536 \tabularnewline
83 & 0.164939691522636 & 0.329879383045272 & 0.835060308477364 \tabularnewline
84 & 0.153783363586254 & 0.307566727172509 & 0.846216636413746 \tabularnewline
85 & 0.150387445034225 & 0.300774890068451 & 0.849612554965774 \tabularnewline
86 & 0.530207279114512 & 0.939585441770976 & 0.469792720885488 \tabularnewline
87 & 0.579810158395274 & 0.840379683209451 & 0.420189841604726 \tabularnewline
88 & 0.712840021375004 & 0.574319957249992 & 0.287159978624996 \tabularnewline
89 & 0.682554761196894 & 0.634890477606211 & 0.317445238803106 \tabularnewline
90 & 0.739838160470171 & 0.520323679059657 & 0.260161839529829 \tabularnewline
91 & 0.721143073785729 & 0.557713852428542 & 0.278856926214271 \tabularnewline
92 & 0.830535254469856 & 0.338929491060289 & 0.169464745530144 \tabularnewline
93 & 0.992541810044018 & 0.0149163799119636 & 0.00745818995598179 \tabularnewline
94 & 0.991047494911286 & 0.0179050101774273 & 0.00895250508871366 \tabularnewline
95 & 0.992255859874958 & 0.0154882802500834 & 0.0077441401250417 \tabularnewline
96 & 0.991867461529197 & 0.0162650769416066 & 0.00813253847080328 \tabularnewline
97 & 0.989849457175192 & 0.0203010856496163 & 0.0101505428248082 \tabularnewline
98 & 0.988764957640508 & 0.0224700847189839 & 0.011235042359492 \tabularnewline
99 & 0.98807292093817 & 0.0238541581236603 & 0.0119270790618302 \tabularnewline
100 & 0.986982385800848 & 0.0260352283983036 & 0.0130176141991518 \tabularnewline
101 & 0.985914073515991 & 0.0281718529680184 & 0.0140859264840092 \tabularnewline
102 & 0.986299993414504 & 0.0274000131709926 & 0.0137000065854963 \tabularnewline
103 & 0.986389978271822 & 0.0272200434563558 & 0.0136100217281779 \tabularnewline
104 & 0.98474079289173 & 0.0305184142165408 & 0.0152592071082704 \tabularnewline
105 & 0.9839072304034 & 0.0321855391931999 & 0.0160927695965999 \tabularnewline
106 & 0.980824810899882 & 0.0383503782002354 & 0.0191751891001177 \tabularnewline
107 & 0.979762386474569 & 0.0404752270508629 & 0.0202376135254315 \tabularnewline
108 & 0.975629482451014 & 0.0487410350979716 & 0.0243705175489858 \tabularnewline
109 & 0.988813722270742 & 0.0223725554585154 & 0.0111862777292577 \tabularnewline
110 & 0.987758311541174 & 0.0244833769176515 & 0.0122416884588257 \tabularnewline
111 & 0.985967694129024 & 0.028064611741953 & 0.0140323058709765 \tabularnewline
112 & 0.983509351208664 & 0.0329812975826715 & 0.0164906487913358 \tabularnewline
113 & 0.980257887838632 & 0.0394842243227363 & 0.0197421121613682 \tabularnewline
114 & 0.977130812340619 & 0.0457383753187625 & 0.0228691876593812 \tabularnewline
115 & 0.975086921269246 & 0.0498261574615071 & 0.0249130787307535 \tabularnewline
116 & 0.974095069062036 & 0.0518098618759277 & 0.0259049309379639 \tabularnewline
117 & 0.995033068751314 & 0.00993386249737288 & 0.00496693124868644 \tabularnewline
118 & 0.996874863460309 & 0.0062502730793825 & 0.00312513653969125 \tabularnewline
119 & 0.996540619395289 & 0.00691876120942133 & 0.00345938060471067 \tabularnewline
120 & 0.995848055494599 & 0.00830388901080109 & 0.00415194450540055 \tabularnewline
121 & 0.995254371785844 & 0.0094912564283126 & 0.0047456282141563 \tabularnewline
122 & 0.999296318124468 & 0.00140736375106412 & 0.000703681875532059 \tabularnewline
123 & 0.999999609301974 & 7.81396051238884e-07 & 3.90698025619442e-07 \tabularnewline
124 & 0.999999823372263 & 3.5325547421055e-07 & 1.76627737105275e-07 \tabularnewline
125 & 0.999999925570494 & 1.48859012839333e-07 & 7.44295064196665e-08 \tabularnewline
126 & 0.999999918010074 & 1.63979851465899e-07 & 8.19899257329493e-08 \tabularnewline
127 & 0.999999975444004 & 4.91119913436713e-08 & 2.45559956718357e-08 \tabularnewline
128 & 0.999999984729556 & 3.05408888506781e-08 & 1.5270444425339e-08 \tabularnewline
129 & 0.999999991666317 & 1.66673666291873e-08 & 8.33368331459367e-09 \tabularnewline
130 & 0.999999992279378 & 1.54412444842752e-08 & 7.72062224213758e-09 \tabularnewline
131 & 0.99999999587571 & 8.24858092396107e-09 & 4.12429046198054e-09 \tabularnewline
132 & 0.9999999956172 & 8.76559981183323e-09 & 4.38279990591661e-09 \tabularnewline
133 & 0.999999995494209 & 9.0115817732468e-09 & 4.5057908866234e-09 \tabularnewline
134 & 0.999999996697737 & 6.6045255181871e-09 & 3.30226275909355e-09 \tabularnewline
135 & 0.999999996757815 & 6.48436932331557e-09 & 3.24218466165778e-09 \tabularnewline
136 & 0.999999996935836 & 6.12832890962384e-09 & 3.06416445481192e-09 \tabularnewline
137 & 0.999999996531291 & 6.93741776078526e-09 & 3.46870888039263e-09 \tabularnewline
138 & 0.999999996482632 & 7.03473541695907e-09 & 3.51736770847953e-09 \tabularnewline
139 & 0.999999996715809 & 6.56838235946055e-09 & 3.28419117973027e-09 \tabularnewline
140 & 0.999999998216957 & 3.56608683333482e-09 & 1.78304341666741e-09 \tabularnewline
141 & 0.999999998634295 & 2.73141031671007e-09 & 1.36570515835504e-09 \tabularnewline
142 & 0.999999998576207 & 2.84758575737731e-09 & 1.42379287868865e-09 \tabularnewline
143 & 0.999999998573176 & 2.85364770459303e-09 & 1.42682385229652e-09 \tabularnewline
144 & 0.999999999306464 & 1.3870711612845e-09 & 6.9353558064225e-10 \tabularnewline
145 & 0.999999999140716 & 1.71856840693343e-09 & 8.59284203466717e-10 \tabularnewline
146 & 0.999999999106759 & 1.78648239646562e-09 & 8.9324119823281e-10 \tabularnewline
147 & 0.999999999104195 & 1.79161008524133e-09 & 8.95805042620665e-10 \tabularnewline
148 & 0.999999999019493 & 1.9610138651419e-09 & 9.80506932570952e-10 \tabularnewline
149 & 0.999999998813528 & 2.37294415362187e-09 & 1.18647207681093e-09 \tabularnewline
150 & 0.999999998618511 & 2.76297906581062e-09 & 1.38148953290531e-09 \tabularnewline
151 & 0.999999998462142 & 3.07571640048833e-09 & 1.53785820024417e-09 \tabularnewline
152 & 0.999999998787873 & 2.42425316143952e-09 & 1.21212658071976e-09 \tabularnewline
153 & 0.999999998833203 & 2.33359304027984e-09 & 1.16679652013992e-09 \tabularnewline
154 & 0.99999999860376 & 2.7924809293707e-09 & 1.39624046468535e-09 \tabularnewline
155 & 0.999999998517636 & 2.96472732404108e-09 & 1.48236366202054e-09 \tabularnewline
156 & 0.99999999805558 & 3.88884006673215e-09 & 1.94442003336607e-09 \tabularnewline
157 & 0.999999997307701 & 5.38459854304206e-09 & 2.69229927152103e-09 \tabularnewline
158 & 0.999999996503929 & 6.99214262052055e-09 & 3.49607131026028e-09 \tabularnewline
159 & 0.999999995766513 & 8.46697392041754e-09 & 4.23348696020877e-09 \tabularnewline
160 & 0.999999994754596 & 1.04908073158415e-08 & 5.24540365792074e-09 \tabularnewline
161 & 0.999999992908651 & 1.41826978841118e-08 & 7.09134894205589e-09 \tabularnewline
162 & 0.999999990656713 & 1.86865733007626e-08 & 9.34328665038128e-09 \tabularnewline
163 & 0.999999988757426 & 2.24851486138347e-08 & 1.12425743069173e-08 \tabularnewline
164 & 0.999999987005295 & 2.598941008338e-08 & 1.299470504169e-08 \tabularnewline
165 & 0.999999984707108 & 3.05857842157348e-08 & 1.52928921078674e-08 \tabularnewline
166 & 0.999999981774552 & 3.64508952070836e-08 & 1.82254476035418e-08 \tabularnewline
167 & 0.999999977067529 & 4.58649426413902e-08 & 2.29324713206951e-08 \tabularnewline
168 & 0.999999970533504 & 5.89329926131153e-08 & 2.94664963065577e-08 \tabularnewline
169 & 0.999999958853528 & 8.22929434407121e-08 & 4.11464717203561e-08 \tabularnewline
170 & 0.999999944219686 & 1.11560627771391e-07 & 5.57803138856956e-08 \tabularnewline
171 & 0.999999926296818 & 1.4740636488529e-07 & 7.37031824426451e-08 \tabularnewline
172 & 0.999999911631837 & 1.7673632657791e-07 & 8.83681632889551e-08 \tabularnewline
173 & 0.999999880762603 & 2.38474793950633e-07 & 1.19237396975316e-07 \tabularnewline
174 & 0.99999989178439 & 2.16431219230624e-07 & 1.08215609615312e-07 \tabularnewline
175 & 0.999999860537413 & 2.78925173473659e-07 & 1.3946258673683e-07 \tabularnewline
176 & 0.999999838519553 & 3.22960894476851e-07 & 1.61480447238425e-07 \tabularnewline
177 & 0.999999802428538 & 3.95142923022105e-07 & 1.97571461511053e-07 \tabularnewline
178 & 0.999999734598475 & 5.30803049053945e-07 & 2.65401524526973e-07 \tabularnewline
179 & 0.999999650583624 & 6.98832752621557e-07 & 3.49416376310778e-07 \tabularnewline
180 & 0.999999499895054 & 1.00020989132125e-06 & 5.00104945660624e-07 \tabularnewline
181 & 0.999999285203081 & 1.42959383787224e-06 & 7.14796918936119e-07 \tabularnewline
182 & 0.999999095130514 & 1.80973897256166e-06 & 9.04869486280831e-07 \tabularnewline
183 & 0.999998823941265 & 2.35211746918325e-06 & 1.17605873459162e-06 \tabularnewline
184 & 0.999998576434699 & 2.84713060289509e-06 & 1.42356530144755e-06 \tabularnewline
185 & 0.999998194905508 & 3.61018898425382e-06 & 1.80509449212691e-06 \tabularnewline
186 & 0.999999158236527 & 1.6835269458403e-06 & 8.41763472920149e-07 \tabularnewline
187 & 0.999998904306987 & 2.19138602582272e-06 & 1.09569301291136e-06 \tabularnewline
188 & 0.999998596870592 & 2.80625881631691e-06 & 1.40312940815846e-06 \tabularnewline
189 & 0.999998184265318 & 3.63146936424698e-06 & 1.81573468212349e-06 \tabularnewline
190 & 0.999997539024109 & 4.92195178096669e-06 & 2.46097589048335e-06 \tabularnewline
191 & 0.999996859587935 & 6.28082413058389e-06 & 3.14041206529195e-06 \tabularnewline
192 & 0.999995587073392 & 8.82585321648511e-06 & 4.41292660824255e-06 \tabularnewline
193 & 0.999993966854797 & 1.20662904049958e-05 & 6.03314520249788e-06 \tabularnewline
194 & 0.999991868405856 & 1.62631882883659e-05 & 8.13159414418296e-06 \tabularnewline
195 & 0.999989476442367 & 2.10471152659688e-05 & 1.05235576329844e-05 \tabularnewline
196 & 0.999986345356539 & 2.7309286921354e-05 & 1.3654643460677e-05 \tabularnewline
197 & 0.999981987288944 & 3.60254221127825e-05 & 1.80127110563913e-05 \tabularnewline
198 & 0.999980358938033 & 3.92821239346357e-05 & 1.96410619673178e-05 \tabularnewline
199 & 0.999979503130681 & 4.09937386373631e-05 & 2.04968693186815e-05 \tabularnewline
200 & 0.999973862588804 & 5.2274822391692e-05 & 2.6137411195846e-05 \tabularnewline
201 & 0.999966292258034 & 6.74154839314909e-05 & 3.37077419657454e-05 \tabularnewline
202 & 0.999955195759944 & 8.96084801126298e-05 & 4.48042400563149e-05 \tabularnewline
203 & 0.999941716455589 & 0.000116567088822722 & 5.8283544411361e-05 \tabularnewline
204 & 0.999920487077558 & 0.000159025844884866 & 7.95129224424332e-05 \tabularnewline
205 & 0.999892078220556 & 0.0002158435588871 & 0.00010792177944355 \tabularnewline
206 & 0.999860949975931 & 0.000278100048138102 & 0.000139050024069051 \tabularnewline
207 & 0.999819413499863 & 0.000361173000273489 & 0.000180586500136745 \tabularnewline
208 & 0.99977486527928 & 0.000450269441439924 & 0.000225134720719962 \tabularnewline
209 & 0.999705877109697 & 0.000588245780606705 & 0.000294122890303352 \tabularnewline
210 & 0.999631976919994 & 0.000736046160011142 & 0.000368023080005571 \tabularnewline
211 & 0.999535174692766 & 0.000929650614467979 & 0.000464825307233989 \tabularnewline
212 & 0.999998202067823 & 3.59586435494682e-06 & 1.79793217747341e-06 \tabularnewline
213 & 0.999997515783811 & 4.9684323783495e-06 & 2.48421618917475e-06 \tabularnewline
214 & 0.999996492381509 & 7.01523698110728e-06 & 3.50761849055364e-06 \tabularnewline
215 & 0.999995215973237 & 9.56805352683284e-06 & 4.78402676341642e-06 \tabularnewline
216 & 0.999993072863103 & 1.38542737934325e-05 & 6.92713689671625e-06 \tabularnewline
217 & 0.99999009510046 & 1.98097990800218e-05 & 9.90489954001089e-06 \tabularnewline
218 & 0.999986418037415 & 2.7163925169613e-05 & 1.35819625848065e-05 \tabularnewline
219 & 0.999982792462906 & 3.44150741883373e-05 & 1.72075370941686e-05 \tabularnewline
220 & 0.999978112995044 & 4.37740099118389e-05 & 2.18870049559195e-05 \tabularnewline
221 & 0.999969823570176 & 6.0352859648457e-05 & 3.01764298242285e-05 \tabularnewline
222 & 0.999962974429857 & 7.40511402851453e-05 & 3.70255701425726e-05 \tabularnewline
223 & 0.999951876108225 & 9.62477835497426e-05 & 4.81238917748713e-05 \tabularnewline
224 & 0.999941053624099 & 0.000117892751802848 & 5.89463759014241e-05 \tabularnewline
225 & 0.999922320063156 & 0.000155359873688547 & 7.76799368442735e-05 \tabularnewline
226 & 0.999893088113027 & 0.000213823773946222 & 0.000106911886973111 \tabularnewline
227 & 0.999856428540716 & 0.00028714291856746 & 0.00014357145928373 \tabularnewline
228 & 0.999804758535175 & 0.000390482929650138 & 0.000195241464825069 \tabularnewline
229 & 0.999734125357448 & 0.000531749285104126 & 0.000265874642552063 \tabularnewline
230 & 0.999653255255284 & 0.000693489489431232 & 0.000346744744715616 \tabularnewline
231 & 0.999539926486544 & 0.000920147026912413 & 0.000460073513456207 \tabularnewline
232 & 0.999404077207257 & 0.0011918455854869 & 0.000595922792743452 \tabularnewline
233 & 0.999257960164926 & 0.00148407967014745 & 0.000742039835073723 \tabularnewline
234 & 0.999107737593915 & 0.0017845248121695 & 0.000892262406084752 \tabularnewline
235 & 0.998837404792547 & 0.00232519041490536 & 0.00116259520745268 \tabularnewline
236 & 0.998578123746995 & 0.00284375250601092 & 0.00142187625300546 \tabularnewline
237 & 0.998190607500316 & 0.00361878499936869 & 0.00180939249968434 \tabularnewline
238 & 0.997707201673342 & 0.00458559665331551 & 0.00229279832665776 \tabularnewline
239 & 0.997038225051358 & 0.00592354989728498 & 0.00296177494864249 \tabularnewline
240 & 0.99617327991121 & 0.00765344017758093 & 0.00382672008879047 \tabularnewline
241 & 0.995177162432644 & 0.00964567513471157 & 0.00482283756735578 \tabularnewline
242 & 0.99421462393842 & 0.0115707521231606 & 0.00578537606158028 \tabularnewline
243 & 0.992655634540345 & 0.0146887309193101 & 0.00734436545965503 \tabularnewline
244 & 0.990917992220326 & 0.0181640155593475 & 0.00908200777967376 \tabularnewline
245 & 0.988575553310448 & 0.0228488933791046 & 0.0114244466895523 \tabularnewline
246 & 0.985905637185312 & 0.0281887256293766 & 0.0140943628146883 \tabularnewline
247 & 0.98248064201063 & 0.0350387159787402 & 0.0175193579893701 \tabularnewline
248 & 0.97912768402217 & 0.0417446319556608 & 0.0208723159778304 \tabularnewline
249 & 0.974188006894955 & 0.0516239862100909 & 0.0258119931050454 \tabularnewline
250 & 0.968366744507982 & 0.0632665109840358 & 0.0316332554920179 \tabularnewline
251 & 0.961602321457463 & 0.0767953570850745 & 0.0383976785425372 \tabularnewline
252 & 0.956204448491784 & 0.0875911030164314 & 0.0437955515082157 \tabularnewline
253 & 0.947459761653253 & 0.105080476693494 & 0.0525402383467468 \tabularnewline
254 & 0.937939658860995 & 0.12412068227801 & 0.0620603411390051 \tabularnewline
255 & 0.926039464383324 & 0.147921071233352 & 0.073960535616676 \tabularnewline
256 & 0.914133119613427 & 0.171733760773145 & 0.0858668803865725 \tabularnewline
257 & 0.898724155058323 & 0.202551689883355 & 0.101275844941677 \tabularnewline
258 & 0.882142325983772 & 0.235715348032455 & 0.117857674016228 \tabularnewline
259 & 0.866419651619316 & 0.267160696761367 & 0.133580348380684 \tabularnewline
260 & 0.848538882687048 & 0.302922234625904 & 0.151461117312952 \tabularnewline
261 & 0.834478076602838 & 0.331043846794323 & 0.165521923397161 \tabularnewline
262 & 0.817022805858162 & 0.365954388283676 & 0.182977194141838 \tabularnewline
263 & 0.793706112699224 & 0.412587774601552 & 0.206293887300776 \tabularnewline
264 & 0.777598395834356 & 0.444803208331288 & 0.222401604165644 \tabularnewline
265 & 0.759290617270016 & 0.481418765459969 & 0.240709382729984 \tabularnewline
266 & 0.766127622712601 & 0.467744754574798 & 0.233872377287399 \tabularnewline
267 & 0.737155062839172 & 0.525689874321656 & 0.262844937160828 \tabularnewline
268 & 0.705042823718295 & 0.589914352563409 & 0.294957176281705 \tabularnewline
269 & 0.674184676837094 & 0.651630646325812 & 0.325815323162906 \tabularnewline
270 & 0.638928006340364 & 0.722143987319273 & 0.361071993659636 \tabularnewline
271 & 0.615679241186936 & 0.768641517626128 & 0.384320758813064 \tabularnewline
272 & 0.591739985715963 & 0.816520028568074 & 0.408260014284037 \tabularnewline
273 & 0.591557073841005 & 0.816885852317991 & 0.408442926158995 \tabularnewline
274 & 0.591664169547042 & 0.816671660905916 & 0.408335830452958 \tabularnewline
275 & 0.561084969756297 & 0.877830060487406 & 0.438915030243703 \tabularnewline
276 & 0.554760919349616 & 0.890478161300768 & 0.445239080650384 \tabularnewline
277 & 0.565619252465386 & 0.868761495069228 & 0.434380747534614 \tabularnewline
278 & 0.646476892313489 & 0.707046215373022 & 0.353523107686511 \tabularnewline
279 & 0.617974251390926 & 0.764051497218148 & 0.382025748609074 \tabularnewline
280 & 0.580721666696224 & 0.838556666607551 & 0.419278333303776 \tabularnewline
281 & 0.5607868404766 & 0.8784263190468 & 0.4392131595234 \tabularnewline
282 & 0.520689101074533 & 0.958621797850934 & 0.479310898925467 \tabularnewline
283 & 0.499056797259579 & 0.998113594519158 & 0.500943202740421 \tabularnewline
284 & 0.480994472783515 & 0.96198894556703 & 0.519005527216485 \tabularnewline
285 & 0.471284891214188 & 0.942569782428377 & 0.528715108785812 \tabularnewline
286 & 0.484688892656403 & 0.969377785312806 & 0.515311107343597 \tabularnewline
287 & 0.455922561543974 & 0.911845123087948 & 0.544077438456026 \tabularnewline
288 & 0.461567053034753 & 0.923134106069507 & 0.538432946965247 \tabularnewline
289 & 0.470212915103521 & 0.940425830207042 & 0.529787084896479 \tabularnewline
290 & 0.433627820286161 & 0.867255640572322 & 0.566372179713839 \tabularnewline
291 & 0.39283653278691 & 0.78567306557382 & 0.60716346721309 \tabularnewline
292 & 0.359770921443475 & 0.719541842886951 & 0.640229078556525 \tabularnewline
293 & 0.353729259872072 & 0.707458519744145 & 0.646270740127928 \tabularnewline
294 & 0.330833789060286 & 0.661667578120572 & 0.669166210939714 \tabularnewline
295 & 0.317317878742793 & 0.634635757485586 & 0.682682121257207 \tabularnewline
296 & 0.294062326236446 & 0.588124652472892 & 0.705937673763554 \tabularnewline
297 & 0.27077407607926 & 0.54154815215852 & 0.72922592392074 \tabularnewline
298 & 0.293028804816041 & 0.586057609632082 & 0.706971195183959 \tabularnewline
299 & 0.258262093356278 & 0.516524186712557 & 0.741737906643722 \tabularnewline
300 & 0.254641516968988 & 0.509283033937976 & 0.745358483031012 \tabularnewline
301 & 0.237339442637788 & 0.474678885275576 & 0.762660557362212 \tabularnewline
302 & 0.225417030832458 & 0.450834061664917 & 0.774582969167542 \tabularnewline
303 & 0.252917196395806 & 0.505834392791611 & 0.747082803604195 \tabularnewline
304 & 0.239929679556096 & 0.479859359112192 & 0.760070320443904 \tabularnewline
305 & 0.283084865323317 & 0.566169730646634 & 0.716915134676683 \tabularnewline
306 & 0.250524566727929 & 0.501049133455858 & 0.749475433272071 \tabularnewline
307 & 0.321254400635946 & 0.642508801271892 & 0.678745599364054 \tabularnewline
308 & 0.309917516109213 & 0.619835032218426 & 0.690082483890787 \tabularnewline
309 & 0.296330939906781 & 0.592661879813563 & 0.703669060093219 \tabularnewline
310 & 0.337992957503249 & 0.675985915006497 & 0.662007042496751 \tabularnewline
311 & 0.361770077132151 & 0.723540154264302 & 0.638229922867849 \tabularnewline
312 & 0.439235295397205 & 0.878470590794411 & 0.560764704602795 \tabularnewline
313 & 0.393929829223957 & 0.787859658447913 & 0.606070170776043 \tabularnewline
314 & 0.410912050739848 & 0.821824101479696 & 0.589087949260152 \tabularnewline
315 & 0.476633722659916 & 0.953267445319832 & 0.523366277340084 \tabularnewline
316 & 0.43442607401437 & 0.86885214802874 & 0.56557392598563 \tabularnewline
317 & 0.380612039844355 & 0.76122407968871 & 0.619387960155645 \tabularnewline
318 & 0.328007925881471 & 0.656015851762943 & 0.671992074118529 \tabularnewline
319 & 0.299808564342179 & 0.599617128684358 & 0.700191435657821 \tabularnewline
320 & 0.257027708484646 & 0.514055416969292 & 0.742972291515354 \tabularnewline
321 & 0.251547732421318 & 0.503095464842636 & 0.748452267578682 \tabularnewline
322 & 0.363001829089344 & 0.726003658178688 & 0.636998170910656 \tabularnewline
323 & 0.348153114419566 & 0.696306228839133 & 0.651846885580434 \tabularnewline
324 & 0.315305230614096 & 0.630610461228192 & 0.684694769385904 \tabularnewline
325 & 0.254428376799988 & 0.508856753599976 & 0.745571623200012 \tabularnewline
326 & 0.647142490379578 & 0.705715019240844 & 0.352857509620422 \tabularnewline
327 & 0.595279514856138 & 0.809440970287723 & 0.404720485143862 \tabularnewline
328 & 0.525297130429696 & 0.949405739140609 & 0.474702869570304 \tabularnewline
329 & 0.451963806958878 & 0.903927613917755 & 0.548036193041122 \tabularnewline
330 & 0.439841500028281 & 0.879683000056563 & 0.560158499971719 \tabularnewline
331 & 0.45501000845549 & 0.91002001691098 & 0.54498999154451 \tabularnewline
332 & 0.376120001120065 & 0.752240002240131 & 0.623879998879935 \tabularnewline
333 & 0.804120446975192 & 0.391759106049616 & 0.195879553024808 \tabularnewline
334 & 0.704149841494164 & 0.591700317011672 & 0.295850158505836 \tabularnewline
335 & 0.584460476017259 & 0.831079047965483 & 0.415539523982741 \tabularnewline
336 & 0.732613299761111 & 0.534773400477777 & 0.267386700238889 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197792&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]0.01588321838689[/C][C]0.0317664367737801[/C][C]0.98411678161311[/C][/ROW]
[ROW][C]17[/C][C]0.00485459628046066[/C][C]0.00970919256092133[/C][C]0.995145403719539[/C][/ROW]
[ROW][C]18[/C][C]0.00178380401315296[/C][C]0.00356760802630591[/C][C]0.998216195986847[/C][/ROW]
[ROW][C]19[/C][C]0.000358415246336178[/C][C]0.000716830492672357[/C][C]0.999641584753664[/C][/ROW]
[ROW][C]20[/C][C]0.00316533183315364[/C][C]0.00633066366630727[/C][C]0.996834668166846[/C][/ROW]
[ROW][C]21[/C][C]0.00133080089769086[/C][C]0.00266160179538172[/C][C]0.998669199102309[/C][/ROW]
[ROW][C]22[/C][C]0.000413873680745858[/C][C]0.000827747361491716[/C][C]0.999586126319254[/C][/ROW]
[ROW][C]23[/C][C]0.00037666774228462[/C][C]0.000753335484569241[/C][C]0.999623332257715[/C][/ROW]
[ROW][C]24[/C][C]0.0102555174726991[/C][C]0.0205110349453981[/C][C]0.989744482527301[/C][/ROW]
[ROW][C]25[/C][C]0.00582023607600702[/C][C]0.011640472152014[/C][C]0.994179763923993[/C][/ROW]
[ROW][C]26[/C][C]0.00292334931847829[/C][C]0.00584669863695658[/C][C]0.997076650681522[/C][/ROW]
[ROW][C]27[/C][C]0.00136749002933172[/C][C]0.00273498005866344[/C][C]0.998632509970668[/C][/ROW]
[ROW][C]28[/C][C]0.000649622811075566[/C][C]0.00129924562215113[/C][C]0.999350377188924[/C][/ROW]
[ROW][C]29[/C][C]0.00101170513184568[/C][C]0.00202341026369135[/C][C]0.998988294868154[/C][/ROW]
[ROW][C]30[/C][C]0.000513246763056819[/C][C]0.00102649352611364[/C][C]0.999486753236943[/C][/ROW]
[ROW][C]31[/C][C]0.00698342776035609[/C][C]0.0139668555207122[/C][C]0.993016572239644[/C][/ROW]
[ROW][C]32[/C][C]0.00413613531519273[/C][C]0.00827227063038547[/C][C]0.995863864684807[/C][/ROW]
[ROW][C]33[/C][C]0.00252895635143417[/C][C]0.00505791270286834[/C][C]0.997471043648566[/C][/ROW]
[ROW][C]34[/C][C]0.0458516261467274[/C][C]0.0917032522934548[/C][C]0.954148373853273[/C][/ROW]
[ROW][C]35[/C][C]0.0485224933240718[/C][C]0.0970449866481436[/C][C]0.951477506675928[/C][/ROW]
[ROW][C]36[/C][C]0.0551385055449771[/C][C]0.110277011089954[/C][C]0.944861494455023[/C][/ROW]
[ROW][C]37[/C][C]0.0444307530254065[/C][C]0.088861506050813[/C][C]0.955569246974594[/C][/ROW]
[ROW][C]38[/C][C]0.032242379775232[/C][C]0.064484759550464[/C][C]0.967757620224768[/C][/ROW]
[ROW][C]39[/C][C]0.0242533808950282[/C][C]0.0485067617900565[/C][C]0.975746619104972[/C][/ROW]
[ROW][C]40[/C][C]0.0165335512123642[/C][C]0.0330671024247284[/C][C]0.983466448787636[/C][/ROW]
[ROW][C]41[/C][C]0.0158818028922615[/C][C]0.0317636057845231[/C][C]0.984118197107739[/C][/ROW]
[ROW][C]42[/C][C]0.0121411926354454[/C][C]0.0242823852708908[/C][C]0.987858807364555[/C][/ROW]
[ROW][C]43[/C][C]0.0145216713751132[/C][C]0.0290433427502263[/C][C]0.985478328624887[/C][/ROW]
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[ROW][C]63[/C][C]2.67713844849661e-05[/C][C]5.35427689699323e-05[/C][C]0.999973228615515[/C][/ROW]
[ROW][C]64[/C][C]1.60365918534053e-05[/C][C]3.20731837068105e-05[/C][C]0.999983963408147[/C][/ROW]
[ROW][C]65[/C][C]9.49414831985528e-06[/C][C]1.89882966397106e-05[/C][C]0.99999050585168[/C][/ROW]
[ROW][C]66[/C][C]6.43189594580559e-06[/C][C]1.28637918916112e-05[/C][C]0.999993568104054[/C][/ROW]
[ROW][C]67[/C][C]3.91356342423767e-06[/C][C]7.82712684847534e-06[/C][C]0.999996086436576[/C][/ROW]
[ROW][C]68[/C][C]2.76647632629687e-06[/C][C]5.53295265259374e-06[/C][C]0.999997233523674[/C][/ROW]
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[ROW][C]72[/C][C]4.104400197076e-07[/C][C]8.208800394152e-07[/C][C]0.99999958955998[/C][/ROW]
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[ROW][C]75[/C][C]8.83411318800756e-08[/C][C]1.76682263760151e-07[/C][C]0.999999911658868[/C][/ROW]
[ROW][C]76[/C][C]4.91536870515676e-08[/C][C]9.83073741031352e-08[/C][C]0.999999950846313[/C][/ROW]
[ROW][C]77[/C][C]2.73689360615715e-08[/C][C]5.47378721231431e-08[/C][C]0.999999972631064[/C][/ROW]
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[ROW][C]79[/C][C]9.89940673058202e-09[/C][C]1.9798813461164e-08[/C][C]0.999999990100593[/C][/ROW]
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[ROW][C]81[/C][C]7.16528714755461e-05[/C][C]0.000143305742951092[/C][C]0.999928347128524[/C][/ROW]
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[ROW][C]120[/C][C]0.995848055494599[/C][C]0.00830388901080109[/C][C]0.00415194450540055[/C][/ROW]
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[ROW][C]124[/C][C]0.999999823372263[/C][C]3.5325547421055e-07[/C][C]1.76627737105275e-07[/C][/ROW]
[ROW][C]125[/C][C]0.999999925570494[/C][C]1.48859012839333e-07[/C][C]7.44295064196665e-08[/C][/ROW]
[ROW][C]126[/C][C]0.999999918010074[/C][C]1.63979851465899e-07[/C][C]8.19899257329493e-08[/C][/ROW]
[ROW][C]127[/C][C]0.999999975444004[/C][C]4.91119913436713e-08[/C][C]2.45559956718357e-08[/C][/ROW]
[ROW][C]128[/C][C]0.999999984729556[/C][C]3.05408888506781e-08[/C][C]1.5270444425339e-08[/C][/ROW]
[ROW][C]129[/C][C]0.999999991666317[/C][C]1.66673666291873e-08[/C][C]8.33368331459367e-09[/C][/ROW]
[ROW][C]130[/C][C]0.999999992279378[/C][C]1.54412444842752e-08[/C][C]7.72062224213758e-09[/C][/ROW]
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[ROW][C]166[/C][C]0.999999981774552[/C][C]3.64508952070836e-08[/C][C]1.82254476035418e-08[/C][/ROW]
[ROW][C]167[/C][C]0.999999977067529[/C][C]4.58649426413902e-08[/C][C]2.29324713206951e-08[/C][/ROW]
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[ROW][C]171[/C][C]0.999999926296818[/C][C]1.4740636488529e-07[/C][C]7.37031824426451e-08[/C][/ROW]
[ROW][C]172[/C][C]0.999999911631837[/C][C]1.7673632657791e-07[/C][C]8.83681632889551e-08[/C][/ROW]
[ROW][C]173[/C][C]0.999999880762603[/C][C]2.38474793950633e-07[/C][C]1.19237396975316e-07[/C][/ROW]
[ROW][C]174[/C][C]0.99999989178439[/C][C]2.16431219230624e-07[/C][C]1.08215609615312e-07[/C][/ROW]
[ROW][C]175[/C][C]0.999999860537413[/C][C]2.78925173473659e-07[/C][C]1.3946258673683e-07[/C][/ROW]
[ROW][C]176[/C][C]0.999999838519553[/C][C]3.22960894476851e-07[/C][C]1.61480447238425e-07[/C][/ROW]
[ROW][C]177[/C][C]0.999999802428538[/C][C]3.95142923022105e-07[/C][C]1.97571461511053e-07[/C][/ROW]
[ROW][C]178[/C][C]0.999999734598475[/C][C]5.30803049053945e-07[/C][C]2.65401524526973e-07[/C][/ROW]
[ROW][C]179[/C][C]0.999999650583624[/C][C]6.98832752621557e-07[/C][C]3.49416376310778e-07[/C][/ROW]
[ROW][C]180[/C][C]0.999999499895054[/C][C]1.00020989132125e-06[/C][C]5.00104945660624e-07[/C][/ROW]
[ROW][C]181[/C][C]0.999999285203081[/C][C]1.42959383787224e-06[/C][C]7.14796918936119e-07[/C][/ROW]
[ROW][C]182[/C][C]0.999999095130514[/C][C]1.80973897256166e-06[/C][C]9.04869486280831e-07[/C][/ROW]
[ROW][C]183[/C][C]0.999998823941265[/C][C]2.35211746918325e-06[/C][C]1.17605873459162e-06[/C][/ROW]
[ROW][C]184[/C][C]0.999998576434699[/C][C]2.84713060289509e-06[/C][C]1.42356530144755e-06[/C][/ROW]
[ROW][C]185[/C][C]0.999998194905508[/C][C]3.61018898425382e-06[/C][C]1.80509449212691e-06[/C][/ROW]
[ROW][C]186[/C][C]0.999999158236527[/C][C]1.6835269458403e-06[/C][C]8.41763472920149e-07[/C][/ROW]
[ROW][C]187[/C][C]0.999998904306987[/C][C]2.19138602582272e-06[/C][C]1.09569301291136e-06[/C][/ROW]
[ROW][C]188[/C][C]0.999998596870592[/C][C]2.80625881631691e-06[/C][C]1.40312940815846e-06[/C][/ROW]
[ROW][C]189[/C][C]0.999998184265318[/C][C]3.63146936424698e-06[/C][C]1.81573468212349e-06[/C][/ROW]
[ROW][C]190[/C][C]0.999997539024109[/C][C]4.92195178096669e-06[/C][C]2.46097589048335e-06[/C][/ROW]
[ROW][C]191[/C][C]0.999996859587935[/C][C]6.28082413058389e-06[/C][C]3.14041206529195e-06[/C][/ROW]
[ROW][C]192[/C][C]0.999995587073392[/C][C]8.82585321648511e-06[/C][C]4.41292660824255e-06[/C][/ROW]
[ROW][C]193[/C][C]0.999993966854797[/C][C]1.20662904049958e-05[/C][C]6.03314520249788e-06[/C][/ROW]
[ROW][C]194[/C][C]0.999991868405856[/C][C]1.62631882883659e-05[/C][C]8.13159414418296e-06[/C][/ROW]
[ROW][C]195[/C][C]0.999989476442367[/C][C]2.10471152659688e-05[/C][C]1.05235576329844e-05[/C][/ROW]
[ROW][C]196[/C][C]0.999986345356539[/C][C]2.7309286921354e-05[/C][C]1.3654643460677e-05[/C][/ROW]
[ROW][C]197[/C][C]0.999981987288944[/C][C]3.60254221127825e-05[/C][C]1.80127110563913e-05[/C][/ROW]
[ROW][C]198[/C][C]0.999980358938033[/C][C]3.92821239346357e-05[/C][C]1.96410619673178e-05[/C][/ROW]
[ROW][C]199[/C][C]0.999979503130681[/C][C]4.09937386373631e-05[/C][C]2.04968693186815e-05[/C][/ROW]
[ROW][C]200[/C][C]0.999973862588804[/C][C]5.2274822391692e-05[/C][C]2.6137411195846e-05[/C][/ROW]
[ROW][C]201[/C][C]0.999966292258034[/C][C]6.74154839314909e-05[/C][C]3.37077419657454e-05[/C][/ROW]
[ROW][C]202[/C][C]0.999955195759944[/C][C]8.96084801126298e-05[/C][C]4.48042400563149e-05[/C][/ROW]
[ROW][C]203[/C][C]0.999941716455589[/C][C]0.000116567088822722[/C][C]5.8283544411361e-05[/C][/ROW]
[ROW][C]204[/C][C]0.999920487077558[/C][C]0.000159025844884866[/C][C]7.95129224424332e-05[/C][/ROW]
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[ROW][C]208[/C][C]0.99977486527928[/C][C]0.000450269441439924[/C][C]0.000225134720719962[/C][/ROW]
[ROW][C]209[/C][C]0.999705877109697[/C][C]0.000588245780606705[/C][C]0.000294122890303352[/C][/ROW]
[ROW][C]210[/C][C]0.999631976919994[/C][C]0.000736046160011142[/C][C]0.000368023080005571[/C][/ROW]
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[ROW][C]214[/C][C]0.999996492381509[/C][C]7.01523698110728e-06[/C][C]3.50761849055364e-06[/C][/ROW]
[ROW][C]215[/C][C]0.999995215973237[/C][C]9.56805352683284e-06[/C][C]4.78402676341642e-06[/C][/ROW]
[ROW][C]216[/C][C]0.999993072863103[/C][C]1.38542737934325e-05[/C][C]6.92713689671625e-06[/C][/ROW]
[ROW][C]217[/C][C]0.99999009510046[/C][C]1.98097990800218e-05[/C][C]9.90489954001089e-06[/C][/ROW]
[ROW][C]218[/C][C]0.999986418037415[/C][C]2.7163925169613e-05[/C][C]1.35819625848065e-05[/C][/ROW]
[ROW][C]219[/C][C]0.999982792462906[/C][C]3.44150741883373e-05[/C][C]1.72075370941686e-05[/C][/ROW]
[ROW][C]220[/C][C]0.999978112995044[/C][C]4.37740099118389e-05[/C][C]2.18870049559195e-05[/C][/ROW]
[ROW][C]221[/C][C]0.999969823570176[/C][C]6.0352859648457e-05[/C][C]3.01764298242285e-05[/C][/ROW]
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[ROW][C]223[/C][C]0.999951876108225[/C][C]9.62477835497426e-05[/C][C]4.81238917748713e-05[/C][/ROW]
[ROW][C]224[/C][C]0.999941053624099[/C][C]0.000117892751802848[/C][C]5.89463759014241e-05[/C][/ROW]
[ROW][C]225[/C][C]0.999922320063156[/C][C]0.000155359873688547[/C][C]7.76799368442735e-05[/C][/ROW]
[ROW][C]226[/C][C]0.999893088113027[/C][C]0.000213823773946222[/C][C]0.000106911886973111[/C][/ROW]
[ROW][C]227[/C][C]0.999856428540716[/C][C]0.00028714291856746[/C][C]0.00014357145928373[/C][/ROW]
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[ROW][C]328[/C][C]0.525297130429696[/C][C]0.949405739140609[/C][C]0.474702869570304[/C][/ROW]
[ROW][C]329[/C][C]0.451963806958878[/C][C]0.903927613917755[/C][C]0.548036193041122[/C][/ROW]
[ROW][C]330[/C][C]0.439841500028281[/C][C]0.879683000056563[/C][C]0.560158499971719[/C][/ROW]
[ROW][C]331[/C][C]0.45501000845549[/C][C]0.91002001691098[/C][C]0.54498999154451[/C][/ROW]
[ROW][C]332[/C][C]0.376120001120065[/C][C]0.752240002240131[/C][C]0.623879998879935[/C][/ROW]
[ROW][C]333[/C][C]0.804120446975192[/C][C]0.391759106049616[/C][C]0.195879553024808[/C][/ROW]
[ROW][C]334[/C][C]0.704149841494164[/C][C]0.591700317011672[/C][C]0.295850158505836[/C][/ROW]
[ROW][C]335[/C][C]0.584460476017259[/C][C]0.831079047965483[/C][C]0.415539523982741[/C][/ROW]
[ROW][C]336[/C][C]0.732613299761111[/C][C]0.534773400477777[/C][C]0.267386700238889[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197792&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197792&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.015883218386890.03176643677378010.98411678161311
170.004854596280460660.009709192560921330.995145403719539
180.001783804013152960.003567608026305910.998216195986847
190.0003584152463361780.0007168304926723570.999641584753664
200.003165331833153640.006330663666307270.996834668166846
210.001330800897690860.002661601795381720.998669199102309
220.0004138736807458580.0008277473614917160.999586126319254
230.000376667742284620.0007533354845692410.999623332257715
240.01025551747269910.02051103494539810.989744482527301
250.005820236076007020.0116404721520140.994179763923993
260.002923349318478290.005846698636956580.997076650681522
270.001367490029331720.002734980058663440.998632509970668
280.0006496228110755660.001299245622151130.999350377188924
290.001011705131845680.002023410263691350.998988294868154
300.0005132467630568190.001026493526113640.999486753236943
310.006983427760356090.01396685552071220.993016572239644
320.004136135315192730.008272270630385470.995863864684807
330.002528956351434170.005057912702868340.997471043648566
340.04585162614672740.09170325229345480.954148373853273
350.04852249332407180.09704498664814360.951477506675928
360.05513850554497710.1102770110899540.944861494455023
370.04443075302540650.0888615060508130.955569246974594
380.0322423797752320.0644847595504640.967757620224768
390.02425338089502820.04850676179005650.975746619104972
400.01653355121236420.03306710242472840.983466448787636
410.01588180289226150.03176360578452310.984118197107739
420.01214119263544540.02428238527089080.987858807364555
430.01452167137511320.02904334275022630.985478328624887
440.009930962811456890.01986192562291380.990069037188543
450.006958750112904980.013917500225810.993041249887095
460.00745333757489230.01490667514978460.992546662425108
470.005461951375583770.01092390275116750.994538048624416
480.00445431704868420.00890863409736840.995545682951316
490.003117794072788820.006235588145577640.996882205927211
500.002327675213760170.004655350427520340.99767232478624
510.00152346430513470.003046928610269410.998476535694865
520.001009452811766320.002018905623532650.998990547188234
530.0006825073568427380.001365014713685480.999317492643157
540.0004719444107438950.000943888821487790.999528055589256
550.0005062686419884510.00101253728397690.999493731358012
560.0004985195564424440.0009970391128848870.999501480443558
570.0003275317850016820.0006550635700033640.999672468214998
580.0002661763460364090.0005323526920728180.999733823653964
590.0001693752140912960.0003387504281825920.999830624785909
600.0001092411897150560.0002184823794301130.999890758810285
616.97359023324083e-050.0001394718046648170.999930264097668
624.36468688320218e-058.72937376640437e-050.999956353131168
632.67713844849661e-055.35427689699323e-050.999973228615515
641.60365918534053e-053.20731837068105e-050.999983963408147
659.49414831985528e-061.89882966397106e-050.99999050585168
666.43189594580559e-061.28637918916112e-050.999993568104054
673.91356342423767e-067.82712684847534e-060.999996086436576
682.76647632629687e-065.53295265259374e-060.999997233523674
691.67333391346354e-063.34666782692708e-060.999998326666087
701.1338378702779e-062.26767574055579e-060.99999886616213
716.63319463491145e-071.32663892698229e-060.999999336680537
724.104400197076e-078.208800394152e-070.99999958955998
732.52093276884473e-075.04186553768945e-070.999999747906723
741.46634010169291e-072.93268020338581e-070.99999985336599
758.83411318800756e-081.76682263760151e-070.999999911658868
764.91536870515676e-089.83073741031352e-080.999999950846313
772.73689360615715e-085.47378721231431e-080.999999972631064
781.47520003836271e-082.95040007672542e-080.999999985248
799.89940673058202e-091.9798813461164e-080.999999990100593
800.0001031377926010660.0002062755852021330.999896862207399
817.16528714755461e-050.0001433057429510920.999928347128524
820.0001010539604635790.0002021079209271580.999898946039536
830.1649396915226360.3298793830452720.835060308477364
840.1537833635862540.3075667271725090.846216636413746
850.1503874450342250.3007748900684510.849612554965774
860.5302072791145120.9395854417709760.469792720885488
870.5798101583952740.8403796832094510.420189841604726
880.7128400213750040.5743199572499920.287159978624996
890.6825547611968940.6348904776062110.317445238803106
900.7398381604701710.5203236790596570.260161839529829
910.7211430737857290.5577138524285420.278856926214271
920.8305352544698560.3389294910602890.169464745530144
930.9925418100440180.01491637991196360.00745818995598179
940.9910474949112860.01790501017742730.00895250508871366
950.9922558598749580.01548828025008340.0077441401250417
960.9918674615291970.01626507694160660.00813253847080328
970.9898494571751920.02030108564961630.0101505428248082
980.9887649576405080.02247008471898390.011235042359492
990.988072920938170.02385415812366030.0119270790618302
1000.9869823858008480.02603522839830360.0130176141991518
1010.9859140735159910.02817185296801840.0140859264840092
1020.9862999934145040.02740001317099260.0137000065854963
1030.9863899782718220.02722004345635580.0136100217281779
1040.984740792891730.03051841421654080.0152592071082704
1050.98390723040340.03218553919319990.0160927695965999
1060.9808248108998820.03835037820023540.0191751891001177
1070.9797623864745690.04047522705086290.0202376135254315
1080.9756294824510140.04874103509797160.0243705175489858
1090.9888137222707420.02237255545851540.0111862777292577
1100.9877583115411740.02448337691765150.0122416884588257
1110.9859676941290240.0280646117419530.0140323058709765
1120.9835093512086640.03298129758267150.0164906487913358
1130.9802578878386320.03948422432273630.0197421121613682
1140.9771308123406190.04573837531876250.0228691876593812
1150.9750869212692460.04982615746150710.0249130787307535
1160.9740950690620360.05180986187592770.0259049309379639
1170.9950330687513140.009933862497372880.00496693124868644
1180.9968748634603090.00625027307938250.00312513653969125
1190.9965406193952890.006918761209421330.00345938060471067
1200.9958480554945990.008303889010801090.00415194450540055
1210.9952543717858440.00949125642831260.0047456282141563
1220.9992963181244680.001407363751064120.000703681875532059
1230.9999996093019747.81396051238884e-073.90698025619442e-07
1240.9999998233722633.5325547421055e-071.76627737105275e-07
1250.9999999255704941.48859012839333e-077.44295064196665e-08
1260.9999999180100741.63979851465899e-078.19899257329493e-08
1270.9999999754440044.91119913436713e-082.45559956718357e-08
1280.9999999847295563.05408888506781e-081.5270444425339e-08
1290.9999999916663171.66673666291873e-088.33368331459367e-09
1300.9999999922793781.54412444842752e-087.72062224213758e-09
1310.999999995875718.24858092396107e-094.12429046198054e-09
1320.99999999561728.76559981183323e-094.38279990591661e-09
1330.9999999954942099.0115817732468e-094.5057908866234e-09
1340.9999999966977376.6045255181871e-093.30226275909355e-09
1350.9999999967578156.48436932331557e-093.24218466165778e-09
1360.9999999969358366.12832890962384e-093.06416445481192e-09
1370.9999999965312916.93741776078526e-093.46870888039263e-09
1380.9999999964826327.03473541695907e-093.51736770847953e-09
1390.9999999967158096.56838235946055e-093.28419117973027e-09
1400.9999999982169573.56608683333482e-091.78304341666741e-09
1410.9999999986342952.73141031671007e-091.36570515835504e-09
1420.9999999985762072.84758575737731e-091.42379287868865e-09
1430.9999999985731762.85364770459303e-091.42682385229652e-09
1440.9999999993064641.3870711612845e-096.9353558064225e-10
1450.9999999991407161.71856840693343e-098.59284203466717e-10
1460.9999999991067591.78648239646562e-098.9324119823281e-10
1470.9999999991041951.79161008524133e-098.95805042620665e-10
1480.9999999990194931.9610138651419e-099.80506932570952e-10
1490.9999999988135282.37294415362187e-091.18647207681093e-09
1500.9999999986185112.76297906581062e-091.38148953290531e-09
1510.9999999984621423.07571640048833e-091.53785820024417e-09
1520.9999999987878732.42425316143952e-091.21212658071976e-09
1530.9999999988332032.33359304027984e-091.16679652013992e-09
1540.999999998603762.7924809293707e-091.39624046468535e-09
1550.9999999985176362.96472732404108e-091.48236366202054e-09
1560.999999998055583.88884006673215e-091.94442003336607e-09
1570.9999999973077015.38459854304206e-092.69229927152103e-09
1580.9999999965039296.99214262052055e-093.49607131026028e-09
1590.9999999957665138.46697392041754e-094.23348696020877e-09
1600.9999999947545961.04908073158415e-085.24540365792074e-09
1610.9999999929086511.41826978841118e-087.09134894205589e-09
1620.9999999906567131.86865733007626e-089.34328665038128e-09
1630.9999999887574262.24851486138347e-081.12425743069173e-08
1640.9999999870052952.598941008338e-081.299470504169e-08
1650.9999999847071083.05857842157348e-081.52928921078674e-08
1660.9999999817745523.64508952070836e-081.82254476035418e-08
1670.9999999770675294.58649426413902e-082.29324713206951e-08
1680.9999999705335045.89329926131153e-082.94664963065577e-08
1690.9999999588535288.22929434407121e-084.11464717203561e-08
1700.9999999442196861.11560627771391e-075.57803138856956e-08
1710.9999999262968181.4740636488529e-077.37031824426451e-08
1720.9999999116318371.7673632657791e-078.83681632889551e-08
1730.9999998807626032.38474793950633e-071.19237396975316e-07
1740.999999891784392.16431219230624e-071.08215609615312e-07
1750.9999998605374132.78925173473659e-071.3946258673683e-07
1760.9999998385195533.22960894476851e-071.61480447238425e-07
1770.9999998024285383.95142923022105e-071.97571461511053e-07
1780.9999997345984755.30803049053945e-072.65401524526973e-07
1790.9999996505836246.98832752621557e-073.49416376310778e-07
1800.9999994998950541.00020989132125e-065.00104945660624e-07
1810.9999992852030811.42959383787224e-067.14796918936119e-07
1820.9999990951305141.80973897256166e-069.04869486280831e-07
1830.9999988239412652.35211746918325e-061.17605873459162e-06
1840.9999985764346992.84713060289509e-061.42356530144755e-06
1850.9999981949055083.61018898425382e-061.80509449212691e-06
1860.9999991582365271.6835269458403e-068.41763472920149e-07
1870.9999989043069872.19138602582272e-061.09569301291136e-06
1880.9999985968705922.80625881631691e-061.40312940815846e-06
1890.9999981842653183.63146936424698e-061.81573468212349e-06
1900.9999975390241094.92195178096669e-062.46097589048335e-06
1910.9999968595879356.28082413058389e-063.14041206529195e-06
1920.9999955870733928.82585321648511e-064.41292660824255e-06
1930.9999939668547971.20662904049958e-056.03314520249788e-06
1940.9999918684058561.62631882883659e-058.13159414418296e-06
1950.9999894764423672.10471152659688e-051.05235576329844e-05
1960.9999863453565392.7309286921354e-051.3654643460677e-05
1970.9999819872889443.60254221127825e-051.80127110563913e-05
1980.9999803589380333.92821239346357e-051.96410619673178e-05
1990.9999795031306814.09937386373631e-052.04968693186815e-05
2000.9999738625888045.2274822391692e-052.6137411195846e-05
2010.9999662922580346.74154839314909e-053.37077419657454e-05
2020.9999551957599448.96084801126298e-054.48042400563149e-05
2030.9999417164555890.0001165670888227225.8283544411361e-05
2040.9999204870775580.0001590258448848667.95129224424332e-05
2050.9998920782205560.00021584355888710.00010792177944355
2060.9998609499759310.0002781000481381020.000139050024069051
2070.9998194134998630.0003611730002734890.000180586500136745
2080.999774865279280.0004502694414399240.000225134720719962
2090.9997058771096970.0005882457806067050.000294122890303352
2100.9996319769199940.0007360461600111420.000368023080005571
2110.9995351746927660.0009296506144679790.000464825307233989
2120.9999982020678233.59586435494682e-061.79793217747341e-06
2130.9999975157838114.9684323783495e-062.48421618917475e-06
2140.9999964923815097.01523698110728e-063.50761849055364e-06
2150.9999952159732379.56805352683284e-064.78402676341642e-06
2160.9999930728631031.38542737934325e-056.92713689671625e-06
2170.999990095100461.98097990800218e-059.90489954001089e-06
2180.9999864180374152.7163925169613e-051.35819625848065e-05
2190.9999827924629063.44150741883373e-051.72075370941686e-05
2200.9999781129950444.37740099118389e-052.18870049559195e-05
2210.9999698235701766.0352859648457e-053.01764298242285e-05
2220.9999629744298577.40511402851453e-053.70255701425726e-05
2230.9999518761082259.62477835497426e-054.81238917748713e-05
2240.9999410536240990.0001178927518028485.89463759014241e-05
2250.9999223200631560.0001553598736885477.76799368442735e-05
2260.9998930881130270.0002138237739462220.000106911886973111
2270.9998564285407160.000287142918567460.00014357145928373
2280.9998047585351750.0003904829296501380.000195241464825069
2290.9997341253574480.0005317492851041260.000265874642552063
2300.9996532552552840.0006934894894312320.000346744744715616
2310.9995399264865440.0009201470269124130.000460073513456207
2320.9994040772072570.00119184558548690.000595922792743452
2330.9992579601649260.001484079670147450.000742039835073723
2340.9991077375939150.00178452481216950.000892262406084752
2350.9988374047925470.002325190414905360.00116259520745268
2360.9985781237469950.002843752506010920.00142187625300546
2370.9981906075003160.003618784999368690.00180939249968434
2380.9977072016733420.004585596653315510.00229279832665776
2390.9970382250513580.005923549897284980.00296177494864249
2400.996173279911210.007653440177580930.00382672008879047
2410.9951771624326440.009645675134711570.00482283756735578
2420.994214623938420.01157075212316060.00578537606158028
2430.9926556345403450.01468873091931010.00734436545965503
2440.9909179922203260.01816401555934750.00908200777967376
2450.9885755533104480.02284889337910460.0114244466895523
2460.9859056371853120.02818872562937660.0140943628146883
2470.982480642010630.03503871597874020.0175193579893701
2480.979127684022170.04174463195566080.0208723159778304
2490.9741880068949550.05162398621009090.0258119931050454
2500.9683667445079820.06326651098403580.0316332554920179
2510.9616023214574630.07679535708507450.0383976785425372
2520.9562044484917840.08759110301643140.0437955515082157
2530.9474597616532530.1050804766934940.0525402383467468
2540.9379396588609950.124120682278010.0620603411390051
2550.9260394643833240.1479210712333520.073960535616676
2560.9141331196134270.1717337607731450.0858668803865725
2570.8987241550583230.2025516898833550.101275844941677
2580.8821423259837720.2357153480324550.117857674016228
2590.8664196516193160.2671606967613670.133580348380684
2600.8485388826870480.3029222346259040.151461117312952
2610.8344780766028380.3310438467943230.165521923397161
2620.8170228058581620.3659543882836760.182977194141838
2630.7937061126992240.4125877746015520.206293887300776
2640.7775983958343560.4448032083312880.222401604165644
2650.7592906172700160.4814187654599690.240709382729984
2660.7661276227126010.4677447545747980.233872377287399
2670.7371550628391720.5256898743216560.262844937160828
2680.7050428237182950.5899143525634090.294957176281705
2690.6741846768370940.6516306463258120.325815323162906
2700.6389280063403640.7221439873192730.361071993659636
2710.6156792411869360.7686415176261280.384320758813064
2720.5917399857159630.8165200285680740.408260014284037
2730.5915570738410050.8168858523179910.408442926158995
2740.5916641695470420.8166716609059160.408335830452958
2750.5610849697562970.8778300604874060.438915030243703
2760.5547609193496160.8904781613007680.445239080650384
2770.5656192524653860.8687614950692280.434380747534614
2780.6464768923134890.7070462153730220.353523107686511
2790.6179742513909260.7640514972181480.382025748609074
2800.5807216666962240.8385566666075510.419278333303776
2810.56078684047660.87842631904680.4392131595234
2820.5206891010745330.9586217978509340.479310898925467
2830.4990567972595790.9981135945191580.500943202740421
2840.4809944727835150.961988945567030.519005527216485
2850.4712848912141880.9425697824283770.528715108785812
2860.4846888926564030.9693777853128060.515311107343597
2870.4559225615439740.9118451230879480.544077438456026
2880.4615670530347530.9231341060695070.538432946965247
2890.4702129151035210.9404258302070420.529787084896479
2900.4336278202861610.8672556405723220.566372179713839
2910.392836532786910.785673065573820.60716346721309
2920.3597709214434750.7195418428869510.640229078556525
2930.3537292598720720.7074585197441450.646270740127928
2940.3308337890602860.6616675781205720.669166210939714
2950.3173178787427930.6346357574855860.682682121257207
2960.2940623262364460.5881246524728920.705937673763554
2970.270774076079260.541548152158520.72922592392074
2980.2930288048160410.5860576096320820.706971195183959
2990.2582620933562780.5165241867125570.741737906643722
3000.2546415169689880.5092830339379760.745358483031012
3010.2373394426377880.4746788852755760.762660557362212
3020.2254170308324580.4508340616649170.774582969167542
3030.2529171963958060.5058343927916110.747082803604195
3040.2399296795560960.4798593591121920.760070320443904
3050.2830848653233170.5661697306466340.716915134676683
3060.2505245667279290.5010491334558580.749475433272071
3070.3212544006359460.6425088012718920.678745599364054
3080.3099175161092130.6198350322184260.690082483890787
3090.2963309399067810.5926618798135630.703669060093219
3100.3379929575032490.6759859150064970.662007042496751
3110.3617700771321510.7235401542643020.638229922867849
3120.4392352953972050.8784705907944110.560764704602795
3130.3939298292239570.7878596584479130.606070170776043
3140.4109120507398480.8218241014796960.589087949260152
3150.4766337226599160.9532674453198320.523366277340084
3160.434426074014370.868852148028740.56557392598563
3170.3806120398443550.761224079688710.619387960155645
3180.3280079258814710.6560158517629430.671992074118529
3190.2998085643421790.5996171286843580.700191435657821
3200.2570277084846460.5140554169692920.742972291515354
3210.2515477324213180.5030954648426360.748452267578682
3220.3630018290893440.7260036581786880.636998170910656
3230.3481531144195660.6963062288391330.651846885580434
3240.3153052306140960.6306104612281920.684694769385904
3250.2544283767999880.5088567535999760.745571623200012
3260.6471424903795780.7057150192408440.352857509620422
3270.5952795148561380.8094409702877230.404720485143862
3280.5252971304296960.9494057391406090.474702869570304
3290.4519638069588780.9039276139177550.548036193041122
3300.4398415000282810.8796830000565630.560158499971719
3310.455010008455490.910020016910980.54498999154451
3320.3761200011200650.7522400022401310.623879998879935
3330.8041204469751920.3917591060496160.195879553024808
3340.7041498414941640.5917003170116720.295850158505836
3350.5844604760172590.8310790479654830.415539523982741
3360.7326132997611110.5347734004777770.267386700238889







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1740.542056074766355NOK
5% type I error level2170.67601246105919NOK
10% type I error level2260.70404984423676NOK

\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 & 174 & 0.542056074766355 & NOK \tabularnewline
5% type I error level & 217 & 0.67601246105919 & NOK \tabularnewline
10% type I error level & 226 & 0.70404984423676 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197792&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]174[/C][C]0.542056074766355[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]217[/C][C]0.67601246105919[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]226[/C][C]0.70404984423676[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197792&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197792&T=6

As an alternative you can also use a QR Code:  

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1740.542056074766355NOK
5% type I error level2170.67601246105919NOK
10% type I error level2260.70404984423676NOK



Parameters (Session):
par1 = 1 ; par2 = Include Monthly Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Include Monthly Dummies ; par3 = Linear Trend ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')
}