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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 29 Nov 2011 05:14:33 -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/2011/Nov/29/t132256171015ujc24fdut3y70.htm/, Retrieved Thu, 31 Oct 2024 23:33:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=148163, Retrieved Thu, 31 Oct 2024 23:33:45 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Forecast - Multip...] [2011-11-29 10:14:33] [10a6f28c51bb1cb94db47cee32729d66] [Current]
- R       [Multiple Regression] [Paper - Multiple ...] [2011-12-19 21:32:47] [2ca9890f29577b21e1107ae30466e88a]
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Dataseries X:
348542
335658
330664
326814
322900
322310
385164
404861
412136
411057
410040
414980
413626
411062
408352
409780
411318
415555
479481
497826
501638
497990
499287
506247
510401
508642
501805
495476
490336
490042
553155
569999
573170
571687
575453
580177
579849
574346
563325
555604
545544
545109
605181
627856
631421
625671
613577
606463
601676
589121
573559
558487
552148
545720
606569
636067
630704
623275
617771
605401
619393
596019
569977
546213
528492
505944
554910
567831
564021
552800
541102
542378
540380
521219
504652
490626
481686
477930
522605
531432
532355
539954
524987
533307
530541
508392
495208
482223
470495
466106
515037
517752
515565
510727
499725
498369
493756
476141
458458
443182
429597
424476
476257
480555
469762
459820
451028
450065
444385
428846
421020
399778
389005
384018
431933
445844
431464
423263
415881
416208
413491
399153
385939
373917
364635
364696
418358
428212
423730
420677
417428
423245
423113
418873
405733
397812
389918
391116
443814
460373
455422
456288
452233
459256
461146
451391
443101
438810
430457
435721
488280
505814
502338
500910
501434
515476
520862
519517
511805
508607
505327
511435
570158
591665
593572
586346
586063
591504
594033
585597
572450
562917
554675
553997
601310
622255
616735
606480
595079
598588
599917
591573
575489
567223
555338
555252
608249
630859
628632
624435
609670
615830
621170
604212
584348
573717
555234
544897
598866
620081
607699
589960
578665
580166
579457
571560
560460
551397
536763
540562
588184
607049
598968
577644
562640
565867
561274
554144
539900
526271
511841
505282
554083
584225
568858
539516
521612
525562
526519
515713
503454
489301
479020
475102
523682
551528
531626
511037
492417
492188
492865
480961
461935
456608
441977
439148
488180
520564
501492
485025
464196
460170
467037
460070
447988
442867
436087
431328
484015
509673
512927
502831
470984
471067
476049
474605
470439
461251
454724
455626
516847
525192
522975
518585
509239
512238
519164
517009
509933
509127
500857
506971
569323
579714
577992
565464
547344
554788
562325
560854
555332
543599
536662
542722
593530
610763
612613
611324
594167
595454
590865
589379
584428
573100
567456
569028
620735
628884
628232
612117
595404
597141




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'AstonUniversity' @ aston.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 & 9 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148163&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]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148163&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148163&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 time9 seconds
R Server'AstonUniversity' @ aston.wessa.net







Multiple Linear Regression - Estimated Regression Equation
werkloosheid[t] = + 493431.790769231 -6167.24718898392M1[t] -15906.8261158594M2[t] -27820.405042735M3[t] -37839.5224311491M4[t] -47365.1013580247M5[t] -49205.4495156695M6[t] + 4346.9715574549M7[t] + 21789.9695536562M8[t] + 17317.7752421653M9[t] + 8601.8501614435M10[t] -2279.19030389363M11[t] + 209.617388414055t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
werkloosheid[t] =  +  493431.790769231 -6167.24718898392M1[t] -15906.8261158594M2[t] -27820.405042735M3[t] -37839.5224311491M4[t] -47365.1013580247M5[t] -49205.4495156695M6[t] +  4346.9715574549M7[t] +  21789.9695536562M8[t] +  17317.7752421653M9[t] +  8601.8501614435M10[t] -2279.19030389363M11[t] +  209.617388414055t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148163&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]werkloosheid[t] =  +  493431.790769231 -6167.24718898392M1[t] -15906.8261158594M2[t] -27820.405042735M3[t] -37839.5224311491M4[t] -47365.1013580247M5[t] -49205.4495156695M6[t] +  4346.9715574549M7[t] +  21789.9695536562M8[t] +  17317.7752421653M9[t] +  8601.8501614435M10[t] -2279.19030389363M11[t] +  209.617388414055t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148163&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148163&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
werkloosheid[t] = + 493431.790769231 -6167.24718898392M1[t] -15906.8261158594M2[t] -27820.405042735M3[t] -37839.5224311491M4[t] -47365.1013580247M5[t] -49205.4495156695M6[t] + 4346.9715574549M7[t] + 21789.9695536562M8[t] + 17317.7752421653M9[t] + 8601.8501614435M10[t] -2279.19030389363M11[t] + 209.617388414055t + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)493431.79076923114481.00219634.074400
M1-6167.2471889839218178.032402-0.33930.7346450.367323
M2-15906.826115859418177.051148-0.87510.3822190.19111
M3-27820.40504273518176.163302-1.53060.1269260.063463
M4-37839.522431149118175.368876-2.08190.0382010.0191
M5-47365.101358024718174.667883-2.60610.0096160.004808
M6-49205.449515669518174.060333-2.70750.007170.003585
M74346.971557454918173.5462380.23920.811120.40556
M821789.969553656218173.1256031.1990.2314690.115734
M917317.775242165318172.7984360.9530.3413850.170692
M108601.850161443518172.5647410.47330.6363140.318157
M11-2279.1903038936318172.424523-0.12540.9002750.450138
t209.61738841405541.215795.08591e-060

\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) & 493431.790769231 & 14481.002196 & 34.0744 & 0 & 0 \tabularnewline
M1 & -6167.24718898392 & 18178.032402 & -0.3393 & 0.734645 & 0.367323 \tabularnewline
M2 & -15906.8261158594 & 18177.051148 & -0.8751 & 0.382219 & 0.19111 \tabularnewline
M3 & -27820.405042735 & 18176.163302 & -1.5306 & 0.126926 & 0.063463 \tabularnewline
M4 & -37839.5224311491 & 18175.368876 & -2.0819 & 0.038201 & 0.0191 \tabularnewline
M5 & -47365.1013580247 & 18174.667883 & -2.6061 & 0.009616 & 0.004808 \tabularnewline
M6 & -49205.4495156695 & 18174.060333 & -2.7075 & 0.00717 & 0.003585 \tabularnewline
M7 & 4346.9715574549 & 18173.546238 & 0.2392 & 0.81112 & 0.40556 \tabularnewline
M8 & 21789.9695536562 & 18173.125603 & 1.199 & 0.231469 & 0.115734 \tabularnewline
M9 & 17317.7752421653 & 18172.798436 & 0.953 & 0.341385 & 0.170692 \tabularnewline
M10 & 8601.8501614435 & 18172.564741 & 0.4733 & 0.636314 & 0.318157 \tabularnewline
M11 & -2279.19030389363 & 18172.424523 & -0.1254 & 0.900275 & 0.450138 \tabularnewline
t & 209.617388414055 & 41.21579 & 5.0859 & 1e-06 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148163&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]493431.790769231[/C][C]14481.002196[/C][C]34.0744[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M1[/C][C]-6167.24718898392[/C][C]18178.032402[/C][C]-0.3393[/C][C]0.734645[/C][C]0.367323[/C][/ROW]
[ROW][C]M2[/C][C]-15906.8261158594[/C][C]18177.051148[/C][C]-0.8751[/C][C]0.382219[/C][C]0.19111[/C][/ROW]
[ROW][C]M3[/C][C]-27820.405042735[/C][C]18176.163302[/C][C]-1.5306[/C][C]0.126926[/C][C]0.063463[/C][/ROW]
[ROW][C]M4[/C][C]-37839.5224311491[/C][C]18175.368876[/C][C]-2.0819[/C][C]0.038201[/C][C]0.0191[/C][/ROW]
[ROW][C]M5[/C][C]-47365.1013580247[/C][C]18174.667883[/C][C]-2.6061[/C][C]0.009616[/C][C]0.004808[/C][/ROW]
[ROW][C]M6[/C][C]-49205.4495156695[/C][C]18174.060333[/C][C]-2.7075[/C][C]0.00717[/C][C]0.003585[/C][/ROW]
[ROW][C]M7[/C][C]4346.9715574549[/C][C]18173.546238[/C][C]0.2392[/C][C]0.81112[/C][C]0.40556[/C][/ROW]
[ROW][C]M8[/C][C]21789.9695536562[/C][C]18173.125603[/C][C]1.199[/C][C]0.231469[/C][C]0.115734[/C][/ROW]
[ROW][C]M9[/C][C]17317.7752421653[/C][C]18172.798436[/C][C]0.953[/C][C]0.341385[/C][C]0.170692[/C][/ROW]
[ROW][C]M10[/C][C]8601.8501614435[/C][C]18172.564741[/C][C]0.4733[/C][C]0.636314[/C][C]0.318157[/C][/ROW]
[ROW][C]M11[/C][C]-2279.19030389363[/C][C]18172.424523[/C][C]-0.1254[/C][C]0.900275[/C][C]0.450138[/C][/ROW]
[ROW][C]t[/C][C]209.617388414055[/C][C]41.21579[/C][C]5.0859[/C][C]1e-06[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148163&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148163&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)493431.79076923114481.00219634.074400
M1-6167.2471889839218178.032402-0.33930.7346450.367323
M2-15906.826115859418177.051148-0.87510.3822190.19111
M3-27820.40504273518176.163302-1.53060.1269260.063463
M4-37839.522431149118175.368876-2.08190.0382010.0191
M5-47365.101358024718174.667883-2.60610.0096160.004808
M6-49205.449515669518174.060333-2.70750.007170.003585
M74346.971557454918173.5462380.23920.811120.40556
M821789.969553656218173.1256031.1990.2314690.115734
M917317.775242165318172.7984360.9530.3413850.170692
M108601.850161443518172.5647410.47330.6363140.318157
M11-2279.1903038936318172.424523-0.12540.9002750.450138
t209.61738841405541.215795.08591e-060







Multiple Linear Regression - Regression Statistics
Multiple R0.427006387330459
R-squared0.18233445482101
Adjusted R-squared0.149518446318843
F-TEST (value)5.55626546747666
F-TEST (DF numerator)12
F-TEST (DF denominator)299
p-value1.37730393756641e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation65521.4398964626
Sum Squared Residuals1283624666745.62

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.427006387330459 \tabularnewline
R-squared & 0.18233445482101 \tabularnewline
Adjusted R-squared & 0.149518446318843 \tabularnewline
F-TEST (value) & 5.55626546747666 \tabularnewline
F-TEST (DF numerator) & 12 \tabularnewline
F-TEST (DF denominator) & 299 \tabularnewline
p-value & 1.37730393756641e-08 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 65521.4398964626 \tabularnewline
Sum Squared Residuals & 1283624666745.62 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148163&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.427006387330459[/C][/ROW]
[ROW][C]R-squared[/C][C]0.18233445482101[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.149518446318843[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]5.55626546747666[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]12[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]299[/C][/ROW]
[ROW][C]p-value[/C][C]1.37730393756641e-08[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]65521.4398964626[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1283624666745.62[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148163&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148163&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 R0.427006387330459
R-squared0.18233445482101
Adjusted R-squared0.149518446318843
F-TEST (value)5.55626546747666
F-TEST (DF numerator)12
F-TEST (DF denominator)299
p-value1.37730393756641e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation65521.4398964626
Sum Squared Residuals1283624666745.62







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1348542487474.160968663-138932.160968663
2335658477944.199430199-142286.199430199
3330664466240.237891738-135576.237891738
4326814456430.737891738-129616.737891738
5322900447114.776353276-124214.776353276
6322310445484.045584046-123174.045584046
7385164499246.084045584-114082.084045584
8404861516898.699430199-112037.699430199
9412136512636.122507122-100500.122507122
10411057504129.814814815-93072.8148148148
11410040493458.391737892-83418.3917378917
12414980495947.199430199-80967.1994301994
13413626489989.56962963-76363.5696296295
14411062480459.608091168-69397.6080911681
15408352468755.646552707-60403.6465527065
16409780458946.146552706-49166.1465527065
17411318449630.185014245-38312.185014245
18415555447999.454245014-32444.4542450142
19479481501761.492706553-22280.4927065527
20497826519414.108091168-21588.1080911681
21501638515151.531168091-13513.5311680912
22497990506645.223475783-8655.22347578346
23499287495973.800398863313.19960113961
24506247498462.6080911687784.39190883193
25510401492504.97829059817896.0217094018
26508642482975.01675213725666.9832478633
27501805471271.05521367530533.9447863248
28495476461461.55521367534014.4447863248
29490336452145.59367521438190.4063247863
30490042450514.86290598339527.1370940171
31553155504276.90136752148878.0986324786
32569999521929.51675213748069.4832478633
33573170517666.9398290655503.0601709402
34571687509160.63213675262526.3678632479
35575453498489.20905982976963.790940171
36580177500978.01675213779198.9832478633
37579849495020.38695156784828.6130484331
38574346485490.42541310588855.5745868946
39563325473786.46387464489538.5361253561
40555604463976.96387464491627.0361253561
41545544454661.00233618290882.9976638177
42545109453030.27156695292078.7284330485
43605181506792.3100284998388.68997151
44627856524444.925413105103411.074586895
45631421520182.348490029111238.651509971
46625671511676.040797721113994.959202279
47613577501004.617720798112572.382279202
48606463503493.425413105102969.574586895
49601676497535.795612536104140.204387464
50589121488005.834074074101115.165925926
51573559476301.87253561297257.1274643875
52558487466492.37253561391994.6274643875
53552148457176.41099715194971.589002849
54545720455545.6802279290174.3197720798
55606569509307.71868945997261.2813105414
56636067526960.334074074109106.665925926
57630704522697.757150997108006.242849003
58623275514191.449458689109083.550541311
59617771503520.026381766114250.973618234
60605401506008.83407407499392.165925926
61619393500051.204273504119341.795726496
62596019490521.242735043105497.757264957
63569977478817.28119658191159.7188034188
64546213469007.78119658177205.2188034188
65528492459691.8196581268800.1803418804
66505944458061.08888888947882.9111111111
67554910511823.12735042743086.8726495727
68567831529475.74273504338355.2572649573
69564021525213.16581196638807.8341880342
70552800516706.85811965836093.1418803419
71541102506035.43504273535066.564957265
72542378508524.24273504333853.7572649573
73540380502566.61293447337813.3870655271
74521219493036.65139601128182.3486039886
75504652481332.6898575523319.3101424502
76490626471523.1898575519102.8101424502
77481686462207.22831908819478.7716809117
78477930460576.49754985817353.5024501425
79522605514338.5360113968266.463988604
80531432531991.151396011-559.151396011392
81532355527728.5744729344626.42552706552
82539954519222.26678062720731.7332193732
83524987508550.84370370416436.1562962963
84533307511039.65139601122267.3486039886
85530541505082.02159544225458.9784045585
86508392495552.0600569812839.93994302
87495208483848.09851851811359.9014814815
88482223474038.5985185188184.40148148149
89470495464722.6369800575772.36301994303
90466106463091.9062108263014.09378917381
91515037516853.944672365-1816.94467236467
92517752534506.56005698-16754.56005698
93515565530243.983133903-14678.9831339031
94510727521737.675441595-11010.6754415954
95499725511066.252364672-11341.2523646724
96498369513555.06005698-15186.06005698
97493756507597.43025641-13841.4302564102
98476141498067.468717949-21926.4687179487
99458458486363.507179487-27905.5071794872
100443182476554.007179487-33372.0071794872
101429597467238.045641026-37641.0456410256
102424476465607.314871795-41131.3148717948
103476257519369.353333333-43112.3533333333
104480555537021.968717949-56466.9687179487
105469762532759.391794872-62997.3917948718
106459820524253.084102564-64433.0841025641
107451028513581.661025641-62553.661025641
108450065516070.468717949-66005.4687179487
109444385510112.838917379-65727.8389173788
110428846500582.877378917-71736.8773789174
111421020488878.915840456-67858.9158404558
112399778479069.415840456-79291.4158404558
113389005469753.454301994-80748.4543019943
114384018468122.723532763-84104.7235327635
115431933521884.761994302-89951.761994302
116445844539537.377378917-93693.3773789174
117431464535274.80045584-103810.80045584
118423263526768.492763533-103505.492763533
119415881516097.06968661-100216.06968661
120416208518585.877378917-102377.877378917
121413491512628.247578348-99137.2475783475
122399153503098.286039886-103945.286039886
123385939491394.324501424-105455.324501424
124373917481584.824501425-107667.824501424
125364635472268.862962963-107633.862962963
126364696470638.132193732-105942.132193732
127418358524400.17065527-106042.170655271
128428212542052.786039886-113840.786039886
129423730537790.209116809-114060.209116809
130420677529283.901424501-108606.901424501
131417428518612.478347578-101184.478347578
132423245521101.286039886-97856.286039886
133423113515143.656239316-92030.6562393162
134418873505613.694700855-86740.6947008547
135405733493909.733162393-88176.7331623931
136397812484100.233162393-86288.2331623931
137389918474784.271623932-84866.2716239316
138391116473153.540854701-82037.5408547008
139443814526915.579316239-83101.5793162393
140460373544568.194700855-84195.1947008547
141455422540305.617777778-84883.6177777778
142456288531799.31008547-75511.3100854701
143452233521127.887008547-68894.887008547
144459256523616.694700855-64360.6947008547
145461146517659.064900285-56513.0649002848
146451391508129.103361823-56738.1033618234
147443101496425.141823362-53324.1418233618
148438810486615.641823362-47805.6418233618
149430457477299.6802849-46842.6802849003
150435721475668.949515669-39947.9495156695
151488280529430.987977208-41150.987977208
152505814547083.603361823-41269.6033618234
153502338542821.026438746-40483.0264387464
154500910534314.718746439-33404.7187464387
155501434523643.295669516-22209.2956695157
156515476526132.103361823-10656.1033618234
157520862520174.473561254687.526438746494
158519517510644.5120227928872.48797720799
159511805498940.55048433112864.4495156695
160508607489131.05048433119475.9495156695
161505327479815.08894586925511.911054131
162511435478184.35817663833250.6418233618
163570158531946.39663817738211.6033618234
164591665549599.01202279242065.987977208
165593572545336.43509971548235.5649002849
166586346536830.12740740749515.8725925926
167586063526158.70433048459904.2956695157
168591504528647.51202279262856.487977208
169594033522689.88222222271343.1177777779
170585597513159.92068376172437.0793162393
171572450501455.95914529970994.0408547009
172562917491646.45914529971270.5408547009
173554675482330.49760683872344.5023931624
174553997480699.76683760773297.2331623932
175601310534461.80529914566848.1947008547
176622255552114.42068376170140.5793162393
177616735547851.84376068468883.1562393162
178606480539345.53606837667134.463931624
179595079528674.11299145366404.887008547
180598588531162.92068376167425.0793162394
181599917525205.29088319174711.7091168092
182591573515675.32934472975897.6706552707
183575489503971.36780626871517.6321937322
184567223494161.86780626873061.1321937322
185555338484845.90626780670492.0937321937
186555252483215.17549857572036.8245014245
187608249536977.21396011471271.786039886
188630859554629.8293447376229.1706552706
189628632550367.25242165278264.7475783476
190624435541860.94472934582574.0552706553
191609670531189.52165242278480.4783475784
192615830533678.32934472982151.6706552707
193621170527720.6995441693449.3004558405
194604212518190.73800569886021.261994302
195584348506486.77646723677861.2235327636
196573717496677.27646723677039.7235327635
197555234487361.31492877567872.6850712251
198544897485730.58415954459166.4158404558
199598866539492.62262108359373.3773789174
200620081557145.23800569862935.761994302
201607699552882.66108262154816.3389173789
202589960544376.35339031345583.6466096866
203578665533704.9303133944960.0696866097
204580166536193.73800569843972.261994302
205579457530236.10820512849220.8917948719
206571560520706.14666666750853.8533333333
207560460509002.18512820551457.8148717949
208551397499192.68512820552204.3148717949
209536763489876.72358974446886.2764102564
210540562488245.99282051352316.0071794872
211588184542008.03128205146175.9687179487
212607049559660.64666666747388.3533333333
213598968555398.0697435943569.9302564103
214577644546891.76205128230752.2379487179
215562640536220.33897435926419.661025641
216565867538709.14666666727157.8533333333
217561274532751.51686609728522.4831339032
218554144523221.55532763530922.4446723647
219539900511517.59378917428382.4062108262
220526271501708.09378917424562.9062108262
221511841492392.13225071219448.8677492877
222505282490761.40148148214520.5985185185
223554083544523.439943029559.56005698003
224584225562176.05532763522048.9446723647
225568858557913.47840455810944.5215954416
226539516549407.170712251-9891.17071225072
227521612538735.747635328-17123.7476353277
228525562541224.555327635-15662.5553276353
229526519535266.925527066-8747.92552706548
230515713525736.963988604-10023.963988604
231503454514033.002450142-10579.0024501425
232489301504223.502450142-14922.5024501425
233479020494907.540911681-15887.5409116809
234475102493276.81014245-18174.8101424501
235523682547038.848603989-23356.8486039886
236551528564691.463988604-13163.463988604
237531626560428.887065527-28802.8870655271
238511037551922.579373219-40885.5793732194
239492417541251.156296296-48834.1562962963
240492188543739.963988604-51551.963988604
241492865537782.334188034-44917.3341880341
242480961528252.372649573-47291.3726495727
243461935516548.411111111-54613.4111111111
244456608506738.911111111-50130.9111111111
245441977497422.94957265-55445.9495726496
246439148495792.218803419-56644.2188034188
247488180549554.257264957-61374.2572649573
248520564567206.872649573-46642.8726495727
249501492562944.295726496-61452.2957264957
250485025554437.988034188-69412.988034188
251464196543766.564957265-79570.564957265
252460170546255.372649573-86085.3726495726
253467037540297.742849003-73260.7428490028
254460070530767.781310541-70697.7813105414
255447988519063.81977208-71075.8197720798
256442867509254.31977208-66387.3197720798
257436087499938.358233618-63851.3582336183
258431328498307.627464387-66979.6274643874
259484015552069.665925926-68054.665925926
260509673569722.281310541-60049.2813105413
261512927565459.704387464-52532.7043874644
262502831556953.396695157-54122.3966951567
263470984546281.973618234-75297.9736182336
264471067548770.781310541-77703.7813105413
265476049542813.151509971-66764.1515099714
266474605533283.18997151-58678.18997151
267470439521579.228433048-51140.2284330485
268461251511769.728433048-50518.7284330485
269454724502453.766894587-47729.7668945869
270455626500823.036125356-45197.0361253561
271516847554585.074586895-37738.0745868946
272525192572237.68997151-47045.68997151
273522975567975.113048433-45000.1130484331
274518585559468.805356125-40883.8053561254
275509239548797.382279202-39558.3822792023
276512238551286.18997151-39048.18997151
277519164545328.56017094-26164.5601709401
278517009535798.598632479-18789.5986324786
279509933524094.637094017-14161.6370940171
280509127514285.137094017-5158.13709401712
281500857504969.175555556-4112.17555555558
282506971503338.4447863253632.5552136752
283569323557100.48324786312222.5167521368
284579714574753.0986324794960.90136752136
285577992570490.5217094027501.47829059827
286565464561984.2140170943479.78598290596
287547344551312.790940171-3968.79094017096
288554788553801.598632479986.401367521348
289562325547843.96883190914481.0311680912
290560854538314.00729344722539.9927065527
291555332526610.04575498628721.9542450142
292543599516800.54575498626798.4542450142
293536662507484.58421652429177.4157834757
294542722505853.85344729336868.1465527065
295593530559615.89190883233914.1080911681
296610763577268.50729344733494.4927065527
297612613573005.9303703739607.0696296296
298611324564499.62267806346824.3773219373
299594167553828.1996011440338.8003988604
300595454556317.00729344739136.9927065527
301590865550359.37749287740505.6225071226
302589379540829.41595441648549.584045584
303584428529125.45441595455302.5455840456
304573100519315.95441595453784.0455840456
305567456509999.99287749357456.0071225071
306569028508369.26210826260658.7378917379
307620735562131.30056980158603.6994301994
308628884579783.91595441649100.084045584
309628232575521.33903133952710.660968661
310612117567015.03133903145101.9686609687
311595404556343.60826210839060.3917378917
312597141558832.41595441638308.584045584

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 348542 & 487474.160968663 & -138932.160968663 \tabularnewline
2 & 335658 & 477944.199430199 & -142286.199430199 \tabularnewline
3 & 330664 & 466240.237891738 & -135576.237891738 \tabularnewline
4 & 326814 & 456430.737891738 & -129616.737891738 \tabularnewline
5 & 322900 & 447114.776353276 & -124214.776353276 \tabularnewline
6 & 322310 & 445484.045584046 & -123174.045584046 \tabularnewline
7 & 385164 & 499246.084045584 & -114082.084045584 \tabularnewline
8 & 404861 & 516898.699430199 & -112037.699430199 \tabularnewline
9 & 412136 & 512636.122507122 & -100500.122507122 \tabularnewline
10 & 411057 & 504129.814814815 & -93072.8148148148 \tabularnewline
11 & 410040 & 493458.391737892 & -83418.3917378917 \tabularnewline
12 & 414980 & 495947.199430199 & -80967.1994301994 \tabularnewline
13 & 413626 & 489989.56962963 & -76363.5696296295 \tabularnewline
14 & 411062 & 480459.608091168 & -69397.6080911681 \tabularnewline
15 & 408352 & 468755.646552707 & -60403.6465527065 \tabularnewline
16 & 409780 & 458946.146552706 & -49166.1465527065 \tabularnewline
17 & 411318 & 449630.185014245 & -38312.185014245 \tabularnewline
18 & 415555 & 447999.454245014 & -32444.4542450142 \tabularnewline
19 & 479481 & 501761.492706553 & -22280.4927065527 \tabularnewline
20 & 497826 & 519414.108091168 & -21588.1080911681 \tabularnewline
21 & 501638 & 515151.531168091 & -13513.5311680912 \tabularnewline
22 & 497990 & 506645.223475783 & -8655.22347578346 \tabularnewline
23 & 499287 & 495973.80039886 & 3313.19960113961 \tabularnewline
24 & 506247 & 498462.608091168 & 7784.39190883193 \tabularnewline
25 & 510401 & 492504.978290598 & 17896.0217094018 \tabularnewline
26 & 508642 & 482975.016752137 & 25666.9832478633 \tabularnewline
27 & 501805 & 471271.055213675 & 30533.9447863248 \tabularnewline
28 & 495476 & 461461.555213675 & 34014.4447863248 \tabularnewline
29 & 490336 & 452145.593675214 & 38190.4063247863 \tabularnewline
30 & 490042 & 450514.862905983 & 39527.1370940171 \tabularnewline
31 & 553155 & 504276.901367521 & 48878.0986324786 \tabularnewline
32 & 569999 & 521929.516752137 & 48069.4832478633 \tabularnewline
33 & 573170 & 517666.93982906 & 55503.0601709402 \tabularnewline
34 & 571687 & 509160.632136752 & 62526.3678632479 \tabularnewline
35 & 575453 & 498489.209059829 & 76963.790940171 \tabularnewline
36 & 580177 & 500978.016752137 & 79198.9832478633 \tabularnewline
37 & 579849 & 495020.386951567 & 84828.6130484331 \tabularnewline
38 & 574346 & 485490.425413105 & 88855.5745868946 \tabularnewline
39 & 563325 & 473786.463874644 & 89538.5361253561 \tabularnewline
40 & 555604 & 463976.963874644 & 91627.0361253561 \tabularnewline
41 & 545544 & 454661.002336182 & 90882.9976638177 \tabularnewline
42 & 545109 & 453030.271566952 & 92078.7284330485 \tabularnewline
43 & 605181 & 506792.31002849 & 98388.68997151 \tabularnewline
44 & 627856 & 524444.925413105 & 103411.074586895 \tabularnewline
45 & 631421 & 520182.348490029 & 111238.651509971 \tabularnewline
46 & 625671 & 511676.040797721 & 113994.959202279 \tabularnewline
47 & 613577 & 501004.617720798 & 112572.382279202 \tabularnewline
48 & 606463 & 503493.425413105 & 102969.574586895 \tabularnewline
49 & 601676 & 497535.795612536 & 104140.204387464 \tabularnewline
50 & 589121 & 488005.834074074 & 101115.165925926 \tabularnewline
51 & 573559 & 476301.872535612 & 97257.1274643875 \tabularnewline
52 & 558487 & 466492.372535613 & 91994.6274643875 \tabularnewline
53 & 552148 & 457176.410997151 & 94971.589002849 \tabularnewline
54 & 545720 & 455545.68022792 & 90174.3197720798 \tabularnewline
55 & 606569 & 509307.718689459 & 97261.2813105414 \tabularnewline
56 & 636067 & 526960.334074074 & 109106.665925926 \tabularnewline
57 & 630704 & 522697.757150997 & 108006.242849003 \tabularnewline
58 & 623275 & 514191.449458689 & 109083.550541311 \tabularnewline
59 & 617771 & 503520.026381766 & 114250.973618234 \tabularnewline
60 & 605401 & 506008.834074074 & 99392.165925926 \tabularnewline
61 & 619393 & 500051.204273504 & 119341.795726496 \tabularnewline
62 & 596019 & 490521.242735043 & 105497.757264957 \tabularnewline
63 & 569977 & 478817.281196581 & 91159.7188034188 \tabularnewline
64 & 546213 & 469007.781196581 & 77205.2188034188 \tabularnewline
65 & 528492 & 459691.81965812 & 68800.1803418804 \tabularnewline
66 & 505944 & 458061.088888889 & 47882.9111111111 \tabularnewline
67 & 554910 & 511823.127350427 & 43086.8726495727 \tabularnewline
68 & 567831 & 529475.742735043 & 38355.2572649573 \tabularnewline
69 & 564021 & 525213.165811966 & 38807.8341880342 \tabularnewline
70 & 552800 & 516706.858119658 & 36093.1418803419 \tabularnewline
71 & 541102 & 506035.435042735 & 35066.564957265 \tabularnewline
72 & 542378 & 508524.242735043 & 33853.7572649573 \tabularnewline
73 & 540380 & 502566.612934473 & 37813.3870655271 \tabularnewline
74 & 521219 & 493036.651396011 & 28182.3486039886 \tabularnewline
75 & 504652 & 481332.68985755 & 23319.3101424502 \tabularnewline
76 & 490626 & 471523.18985755 & 19102.8101424502 \tabularnewline
77 & 481686 & 462207.228319088 & 19478.7716809117 \tabularnewline
78 & 477930 & 460576.497549858 & 17353.5024501425 \tabularnewline
79 & 522605 & 514338.536011396 & 8266.463988604 \tabularnewline
80 & 531432 & 531991.151396011 & -559.151396011392 \tabularnewline
81 & 532355 & 527728.574472934 & 4626.42552706552 \tabularnewline
82 & 539954 & 519222.266780627 & 20731.7332193732 \tabularnewline
83 & 524987 & 508550.843703704 & 16436.1562962963 \tabularnewline
84 & 533307 & 511039.651396011 & 22267.3486039886 \tabularnewline
85 & 530541 & 505082.021595442 & 25458.9784045585 \tabularnewline
86 & 508392 & 495552.06005698 & 12839.93994302 \tabularnewline
87 & 495208 & 483848.098518518 & 11359.9014814815 \tabularnewline
88 & 482223 & 474038.598518518 & 8184.40148148149 \tabularnewline
89 & 470495 & 464722.636980057 & 5772.36301994303 \tabularnewline
90 & 466106 & 463091.906210826 & 3014.09378917381 \tabularnewline
91 & 515037 & 516853.944672365 & -1816.94467236467 \tabularnewline
92 & 517752 & 534506.56005698 & -16754.56005698 \tabularnewline
93 & 515565 & 530243.983133903 & -14678.9831339031 \tabularnewline
94 & 510727 & 521737.675441595 & -11010.6754415954 \tabularnewline
95 & 499725 & 511066.252364672 & -11341.2523646724 \tabularnewline
96 & 498369 & 513555.06005698 & -15186.06005698 \tabularnewline
97 & 493756 & 507597.43025641 & -13841.4302564102 \tabularnewline
98 & 476141 & 498067.468717949 & -21926.4687179487 \tabularnewline
99 & 458458 & 486363.507179487 & -27905.5071794872 \tabularnewline
100 & 443182 & 476554.007179487 & -33372.0071794872 \tabularnewline
101 & 429597 & 467238.045641026 & -37641.0456410256 \tabularnewline
102 & 424476 & 465607.314871795 & -41131.3148717948 \tabularnewline
103 & 476257 & 519369.353333333 & -43112.3533333333 \tabularnewline
104 & 480555 & 537021.968717949 & -56466.9687179487 \tabularnewline
105 & 469762 & 532759.391794872 & -62997.3917948718 \tabularnewline
106 & 459820 & 524253.084102564 & -64433.0841025641 \tabularnewline
107 & 451028 & 513581.661025641 & -62553.661025641 \tabularnewline
108 & 450065 & 516070.468717949 & -66005.4687179487 \tabularnewline
109 & 444385 & 510112.838917379 & -65727.8389173788 \tabularnewline
110 & 428846 & 500582.877378917 & -71736.8773789174 \tabularnewline
111 & 421020 & 488878.915840456 & -67858.9158404558 \tabularnewline
112 & 399778 & 479069.415840456 & -79291.4158404558 \tabularnewline
113 & 389005 & 469753.454301994 & -80748.4543019943 \tabularnewline
114 & 384018 & 468122.723532763 & -84104.7235327635 \tabularnewline
115 & 431933 & 521884.761994302 & -89951.761994302 \tabularnewline
116 & 445844 & 539537.377378917 & -93693.3773789174 \tabularnewline
117 & 431464 & 535274.80045584 & -103810.80045584 \tabularnewline
118 & 423263 & 526768.492763533 & -103505.492763533 \tabularnewline
119 & 415881 & 516097.06968661 & -100216.06968661 \tabularnewline
120 & 416208 & 518585.877378917 & -102377.877378917 \tabularnewline
121 & 413491 & 512628.247578348 & -99137.2475783475 \tabularnewline
122 & 399153 & 503098.286039886 & -103945.286039886 \tabularnewline
123 & 385939 & 491394.324501424 & -105455.324501424 \tabularnewline
124 & 373917 & 481584.824501425 & -107667.824501424 \tabularnewline
125 & 364635 & 472268.862962963 & -107633.862962963 \tabularnewline
126 & 364696 & 470638.132193732 & -105942.132193732 \tabularnewline
127 & 418358 & 524400.17065527 & -106042.170655271 \tabularnewline
128 & 428212 & 542052.786039886 & -113840.786039886 \tabularnewline
129 & 423730 & 537790.209116809 & -114060.209116809 \tabularnewline
130 & 420677 & 529283.901424501 & -108606.901424501 \tabularnewline
131 & 417428 & 518612.478347578 & -101184.478347578 \tabularnewline
132 & 423245 & 521101.286039886 & -97856.286039886 \tabularnewline
133 & 423113 & 515143.656239316 & -92030.6562393162 \tabularnewline
134 & 418873 & 505613.694700855 & -86740.6947008547 \tabularnewline
135 & 405733 & 493909.733162393 & -88176.7331623931 \tabularnewline
136 & 397812 & 484100.233162393 & -86288.2331623931 \tabularnewline
137 & 389918 & 474784.271623932 & -84866.2716239316 \tabularnewline
138 & 391116 & 473153.540854701 & -82037.5408547008 \tabularnewline
139 & 443814 & 526915.579316239 & -83101.5793162393 \tabularnewline
140 & 460373 & 544568.194700855 & -84195.1947008547 \tabularnewline
141 & 455422 & 540305.617777778 & -84883.6177777778 \tabularnewline
142 & 456288 & 531799.31008547 & -75511.3100854701 \tabularnewline
143 & 452233 & 521127.887008547 & -68894.887008547 \tabularnewline
144 & 459256 & 523616.694700855 & -64360.6947008547 \tabularnewline
145 & 461146 & 517659.064900285 & -56513.0649002848 \tabularnewline
146 & 451391 & 508129.103361823 & -56738.1033618234 \tabularnewline
147 & 443101 & 496425.141823362 & -53324.1418233618 \tabularnewline
148 & 438810 & 486615.641823362 & -47805.6418233618 \tabularnewline
149 & 430457 & 477299.6802849 & -46842.6802849003 \tabularnewline
150 & 435721 & 475668.949515669 & -39947.9495156695 \tabularnewline
151 & 488280 & 529430.987977208 & -41150.987977208 \tabularnewline
152 & 505814 & 547083.603361823 & -41269.6033618234 \tabularnewline
153 & 502338 & 542821.026438746 & -40483.0264387464 \tabularnewline
154 & 500910 & 534314.718746439 & -33404.7187464387 \tabularnewline
155 & 501434 & 523643.295669516 & -22209.2956695157 \tabularnewline
156 & 515476 & 526132.103361823 & -10656.1033618234 \tabularnewline
157 & 520862 & 520174.473561254 & 687.526438746494 \tabularnewline
158 & 519517 & 510644.512022792 & 8872.48797720799 \tabularnewline
159 & 511805 & 498940.550484331 & 12864.4495156695 \tabularnewline
160 & 508607 & 489131.050484331 & 19475.9495156695 \tabularnewline
161 & 505327 & 479815.088945869 & 25511.911054131 \tabularnewline
162 & 511435 & 478184.358176638 & 33250.6418233618 \tabularnewline
163 & 570158 & 531946.396638177 & 38211.6033618234 \tabularnewline
164 & 591665 & 549599.012022792 & 42065.987977208 \tabularnewline
165 & 593572 & 545336.435099715 & 48235.5649002849 \tabularnewline
166 & 586346 & 536830.127407407 & 49515.8725925926 \tabularnewline
167 & 586063 & 526158.704330484 & 59904.2956695157 \tabularnewline
168 & 591504 & 528647.512022792 & 62856.487977208 \tabularnewline
169 & 594033 & 522689.882222222 & 71343.1177777779 \tabularnewline
170 & 585597 & 513159.920683761 & 72437.0793162393 \tabularnewline
171 & 572450 & 501455.959145299 & 70994.0408547009 \tabularnewline
172 & 562917 & 491646.459145299 & 71270.5408547009 \tabularnewline
173 & 554675 & 482330.497606838 & 72344.5023931624 \tabularnewline
174 & 553997 & 480699.766837607 & 73297.2331623932 \tabularnewline
175 & 601310 & 534461.805299145 & 66848.1947008547 \tabularnewline
176 & 622255 & 552114.420683761 & 70140.5793162393 \tabularnewline
177 & 616735 & 547851.843760684 & 68883.1562393162 \tabularnewline
178 & 606480 & 539345.536068376 & 67134.463931624 \tabularnewline
179 & 595079 & 528674.112991453 & 66404.887008547 \tabularnewline
180 & 598588 & 531162.920683761 & 67425.0793162394 \tabularnewline
181 & 599917 & 525205.290883191 & 74711.7091168092 \tabularnewline
182 & 591573 & 515675.329344729 & 75897.6706552707 \tabularnewline
183 & 575489 & 503971.367806268 & 71517.6321937322 \tabularnewline
184 & 567223 & 494161.867806268 & 73061.1321937322 \tabularnewline
185 & 555338 & 484845.906267806 & 70492.0937321937 \tabularnewline
186 & 555252 & 483215.175498575 & 72036.8245014245 \tabularnewline
187 & 608249 & 536977.213960114 & 71271.786039886 \tabularnewline
188 & 630859 & 554629.82934473 & 76229.1706552706 \tabularnewline
189 & 628632 & 550367.252421652 & 78264.7475783476 \tabularnewline
190 & 624435 & 541860.944729345 & 82574.0552706553 \tabularnewline
191 & 609670 & 531189.521652422 & 78480.4783475784 \tabularnewline
192 & 615830 & 533678.329344729 & 82151.6706552707 \tabularnewline
193 & 621170 & 527720.69954416 & 93449.3004558405 \tabularnewline
194 & 604212 & 518190.738005698 & 86021.261994302 \tabularnewline
195 & 584348 & 506486.776467236 & 77861.2235327636 \tabularnewline
196 & 573717 & 496677.276467236 & 77039.7235327635 \tabularnewline
197 & 555234 & 487361.314928775 & 67872.6850712251 \tabularnewline
198 & 544897 & 485730.584159544 & 59166.4158404558 \tabularnewline
199 & 598866 & 539492.622621083 & 59373.3773789174 \tabularnewline
200 & 620081 & 557145.238005698 & 62935.761994302 \tabularnewline
201 & 607699 & 552882.661082621 & 54816.3389173789 \tabularnewline
202 & 589960 & 544376.353390313 & 45583.6466096866 \tabularnewline
203 & 578665 & 533704.93031339 & 44960.0696866097 \tabularnewline
204 & 580166 & 536193.738005698 & 43972.261994302 \tabularnewline
205 & 579457 & 530236.108205128 & 49220.8917948719 \tabularnewline
206 & 571560 & 520706.146666667 & 50853.8533333333 \tabularnewline
207 & 560460 & 509002.185128205 & 51457.8148717949 \tabularnewline
208 & 551397 & 499192.685128205 & 52204.3148717949 \tabularnewline
209 & 536763 & 489876.723589744 & 46886.2764102564 \tabularnewline
210 & 540562 & 488245.992820513 & 52316.0071794872 \tabularnewline
211 & 588184 & 542008.031282051 & 46175.9687179487 \tabularnewline
212 & 607049 & 559660.646666667 & 47388.3533333333 \tabularnewline
213 & 598968 & 555398.06974359 & 43569.9302564103 \tabularnewline
214 & 577644 & 546891.762051282 & 30752.2379487179 \tabularnewline
215 & 562640 & 536220.338974359 & 26419.661025641 \tabularnewline
216 & 565867 & 538709.146666667 & 27157.8533333333 \tabularnewline
217 & 561274 & 532751.516866097 & 28522.4831339032 \tabularnewline
218 & 554144 & 523221.555327635 & 30922.4446723647 \tabularnewline
219 & 539900 & 511517.593789174 & 28382.4062108262 \tabularnewline
220 & 526271 & 501708.093789174 & 24562.9062108262 \tabularnewline
221 & 511841 & 492392.132250712 & 19448.8677492877 \tabularnewline
222 & 505282 & 490761.401481482 & 14520.5985185185 \tabularnewline
223 & 554083 & 544523.43994302 & 9559.56005698003 \tabularnewline
224 & 584225 & 562176.055327635 & 22048.9446723647 \tabularnewline
225 & 568858 & 557913.478404558 & 10944.5215954416 \tabularnewline
226 & 539516 & 549407.170712251 & -9891.17071225072 \tabularnewline
227 & 521612 & 538735.747635328 & -17123.7476353277 \tabularnewline
228 & 525562 & 541224.555327635 & -15662.5553276353 \tabularnewline
229 & 526519 & 535266.925527066 & -8747.92552706548 \tabularnewline
230 & 515713 & 525736.963988604 & -10023.963988604 \tabularnewline
231 & 503454 & 514033.002450142 & -10579.0024501425 \tabularnewline
232 & 489301 & 504223.502450142 & -14922.5024501425 \tabularnewline
233 & 479020 & 494907.540911681 & -15887.5409116809 \tabularnewline
234 & 475102 & 493276.81014245 & -18174.8101424501 \tabularnewline
235 & 523682 & 547038.848603989 & -23356.8486039886 \tabularnewline
236 & 551528 & 564691.463988604 & -13163.463988604 \tabularnewline
237 & 531626 & 560428.887065527 & -28802.8870655271 \tabularnewline
238 & 511037 & 551922.579373219 & -40885.5793732194 \tabularnewline
239 & 492417 & 541251.156296296 & -48834.1562962963 \tabularnewline
240 & 492188 & 543739.963988604 & -51551.963988604 \tabularnewline
241 & 492865 & 537782.334188034 & -44917.3341880341 \tabularnewline
242 & 480961 & 528252.372649573 & -47291.3726495727 \tabularnewline
243 & 461935 & 516548.411111111 & -54613.4111111111 \tabularnewline
244 & 456608 & 506738.911111111 & -50130.9111111111 \tabularnewline
245 & 441977 & 497422.94957265 & -55445.9495726496 \tabularnewline
246 & 439148 & 495792.218803419 & -56644.2188034188 \tabularnewline
247 & 488180 & 549554.257264957 & -61374.2572649573 \tabularnewline
248 & 520564 & 567206.872649573 & -46642.8726495727 \tabularnewline
249 & 501492 & 562944.295726496 & -61452.2957264957 \tabularnewline
250 & 485025 & 554437.988034188 & -69412.988034188 \tabularnewline
251 & 464196 & 543766.564957265 & -79570.564957265 \tabularnewline
252 & 460170 & 546255.372649573 & -86085.3726495726 \tabularnewline
253 & 467037 & 540297.742849003 & -73260.7428490028 \tabularnewline
254 & 460070 & 530767.781310541 & -70697.7813105414 \tabularnewline
255 & 447988 & 519063.81977208 & -71075.8197720798 \tabularnewline
256 & 442867 & 509254.31977208 & -66387.3197720798 \tabularnewline
257 & 436087 & 499938.358233618 & -63851.3582336183 \tabularnewline
258 & 431328 & 498307.627464387 & -66979.6274643874 \tabularnewline
259 & 484015 & 552069.665925926 & -68054.665925926 \tabularnewline
260 & 509673 & 569722.281310541 & -60049.2813105413 \tabularnewline
261 & 512927 & 565459.704387464 & -52532.7043874644 \tabularnewline
262 & 502831 & 556953.396695157 & -54122.3966951567 \tabularnewline
263 & 470984 & 546281.973618234 & -75297.9736182336 \tabularnewline
264 & 471067 & 548770.781310541 & -77703.7813105413 \tabularnewline
265 & 476049 & 542813.151509971 & -66764.1515099714 \tabularnewline
266 & 474605 & 533283.18997151 & -58678.18997151 \tabularnewline
267 & 470439 & 521579.228433048 & -51140.2284330485 \tabularnewline
268 & 461251 & 511769.728433048 & -50518.7284330485 \tabularnewline
269 & 454724 & 502453.766894587 & -47729.7668945869 \tabularnewline
270 & 455626 & 500823.036125356 & -45197.0361253561 \tabularnewline
271 & 516847 & 554585.074586895 & -37738.0745868946 \tabularnewline
272 & 525192 & 572237.68997151 & -47045.68997151 \tabularnewline
273 & 522975 & 567975.113048433 & -45000.1130484331 \tabularnewline
274 & 518585 & 559468.805356125 & -40883.8053561254 \tabularnewline
275 & 509239 & 548797.382279202 & -39558.3822792023 \tabularnewline
276 & 512238 & 551286.18997151 & -39048.18997151 \tabularnewline
277 & 519164 & 545328.56017094 & -26164.5601709401 \tabularnewline
278 & 517009 & 535798.598632479 & -18789.5986324786 \tabularnewline
279 & 509933 & 524094.637094017 & -14161.6370940171 \tabularnewline
280 & 509127 & 514285.137094017 & -5158.13709401712 \tabularnewline
281 & 500857 & 504969.175555556 & -4112.17555555558 \tabularnewline
282 & 506971 & 503338.444786325 & 3632.5552136752 \tabularnewline
283 & 569323 & 557100.483247863 & 12222.5167521368 \tabularnewline
284 & 579714 & 574753.098632479 & 4960.90136752136 \tabularnewline
285 & 577992 & 570490.521709402 & 7501.47829059827 \tabularnewline
286 & 565464 & 561984.214017094 & 3479.78598290596 \tabularnewline
287 & 547344 & 551312.790940171 & -3968.79094017096 \tabularnewline
288 & 554788 & 553801.598632479 & 986.401367521348 \tabularnewline
289 & 562325 & 547843.968831909 & 14481.0311680912 \tabularnewline
290 & 560854 & 538314.007293447 & 22539.9927065527 \tabularnewline
291 & 555332 & 526610.045754986 & 28721.9542450142 \tabularnewline
292 & 543599 & 516800.545754986 & 26798.4542450142 \tabularnewline
293 & 536662 & 507484.584216524 & 29177.4157834757 \tabularnewline
294 & 542722 & 505853.853447293 & 36868.1465527065 \tabularnewline
295 & 593530 & 559615.891908832 & 33914.1080911681 \tabularnewline
296 & 610763 & 577268.507293447 & 33494.4927065527 \tabularnewline
297 & 612613 & 573005.93037037 & 39607.0696296296 \tabularnewline
298 & 611324 & 564499.622678063 & 46824.3773219373 \tabularnewline
299 & 594167 & 553828.19960114 & 40338.8003988604 \tabularnewline
300 & 595454 & 556317.007293447 & 39136.9927065527 \tabularnewline
301 & 590865 & 550359.377492877 & 40505.6225071226 \tabularnewline
302 & 589379 & 540829.415954416 & 48549.584045584 \tabularnewline
303 & 584428 & 529125.454415954 & 55302.5455840456 \tabularnewline
304 & 573100 & 519315.954415954 & 53784.0455840456 \tabularnewline
305 & 567456 & 509999.992877493 & 57456.0071225071 \tabularnewline
306 & 569028 & 508369.262108262 & 60658.7378917379 \tabularnewline
307 & 620735 & 562131.300569801 & 58603.6994301994 \tabularnewline
308 & 628884 & 579783.915954416 & 49100.084045584 \tabularnewline
309 & 628232 & 575521.339031339 & 52710.660968661 \tabularnewline
310 & 612117 & 567015.031339031 & 45101.9686609687 \tabularnewline
311 & 595404 & 556343.608262108 & 39060.3917378917 \tabularnewline
312 & 597141 & 558832.415954416 & 38308.584045584 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148163&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]348542[/C][C]487474.160968663[/C][C]-138932.160968663[/C][/ROW]
[ROW][C]2[/C][C]335658[/C][C]477944.199430199[/C][C]-142286.199430199[/C][/ROW]
[ROW][C]3[/C][C]330664[/C][C]466240.237891738[/C][C]-135576.237891738[/C][/ROW]
[ROW][C]4[/C][C]326814[/C][C]456430.737891738[/C][C]-129616.737891738[/C][/ROW]
[ROW][C]5[/C][C]322900[/C][C]447114.776353276[/C][C]-124214.776353276[/C][/ROW]
[ROW][C]6[/C][C]322310[/C][C]445484.045584046[/C][C]-123174.045584046[/C][/ROW]
[ROW][C]7[/C][C]385164[/C][C]499246.084045584[/C][C]-114082.084045584[/C][/ROW]
[ROW][C]8[/C][C]404861[/C][C]516898.699430199[/C][C]-112037.699430199[/C][/ROW]
[ROW][C]9[/C][C]412136[/C][C]512636.122507122[/C][C]-100500.122507122[/C][/ROW]
[ROW][C]10[/C][C]411057[/C][C]504129.814814815[/C][C]-93072.8148148148[/C][/ROW]
[ROW][C]11[/C][C]410040[/C][C]493458.391737892[/C][C]-83418.3917378917[/C][/ROW]
[ROW][C]12[/C][C]414980[/C][C]495947.199430199[/C][C]-80967.1994301994[/C][/ROW]
[ROW][C]13[/C][C]413626[/C][C]489989.56962963[/C][C]-76363.5696296295[/C][/ROW]
[ROW][C]14[/C][C]411062[/C][C]480459.608091168[/C][C]-69397.6080911681[/C][/ROW]
[ROW][C]15[/C][C]408352[/C][C]468755.646552707[/C][C]-60403.6465527065[/C][/ROW]
[ROW][C]16[/C][C]409780[/C][C]458946.146552706[/C][C]-49166.1465527065[/C][/ROW]
[ROW][C]17[/C][C]411318[/C][C]449630.185014245[/C][C]-38312.185014245[/C][/ROW]
[ROW][C]18[/C][C]415555[/C][C]447999.454245014[/C][C]-32444.4542450142[/C][/ROW]
[ROW][C]19[/C][C]479481[/C][C]501761.492706553[/C][C]-22280.4927065527[/C][/ROW]
[ROW][C]20[/C][C]497826[/C][C]519414.108091168[/C][C]-21588.1080911681[/C][/ROW]
[ROW][C]21[/C][C]501638[/C][C]515151.531168091[/C][C]-13513.5311680912[/C][/ROW]
[ROW][C]22[/C][C]497990[/C][C]506645.223475783[/C][C]-8655.22347578346[/C][/ROW]
[ROW][C]23[/C][C]499287[/C][C]495973.80039886[/C][C]3313.19960113961[/C][/ROW]
[ROW][C]24[/C][C]506247[/C][C]498462.608091168[/C][C]7784.39190883193[/C][/ROW]
[ROW][C]25[/C][C]510401[/C][C]492504.978290598[/C][C]17896.0217094018[/C][/ROW]
[ROW][C]26[/C][C]508642[/C][C]482975.016752137[/C][C]25666.9832478633[/C][/ROW]
[ROW][C]27[/C][C]501805[/C][C]471271.055213675[/C][C]30533.9447863248[/C][/ROW]
[ROW][C]28[/C][C]495476[/C][C]461461.555213675[/C][C]34014.4447863248[/C][/ROW]
[ROW][C]29[/C][C]490336[/C][C]452145.593675214[/C][C]38190.4063247863[/C][/ROW]
[ROW][C]30[/C][C]490042[/C][C]450514.862905983[/C][C]39527.1370940171[/C][/ROW]
[ROW][C]31[/C][C]553155[/C][C]504276.901367521[/C][C]48878.0986324786[/C][/ROW]
[ROW][C]32[/C][C]569999[/C][C]521929.516752137[/C][C]48069.4832478633[/C][/ROW]
[ROW][C]33[/C][C]573170[/C][C]517666.93982906[/C][C]55503.0601709402[/C][/ROW]
[ROW][C]34[/C][C]571687[/C][C]509160.632136752[/C][C]62526.3678632479[/C][/ROW]
[ROW][C]35[/C][C]575453[/C][C]498489.209059829[/C][C]76963.790940171[/C][/ROW]
[ROW][C]36[/C][C]580177[/C][C]500978.016752137[/C][C]79198.9832478633[/C][/ROW]
[ROW][C]37[/C][C]579849[/C][C]495020.386951567[/C][C]84828.6130484331[/C][/ROW]
[ROW][C]38[/C][C]574346[/C][C]485490.425413105[/C][C]88855.5745868946[/C][/ROW]
[ROW][C]39[/C][C]563325[/C][C]473786.463874644[/C][C]89538.5361253561[/C][/ROW]
[ROW][C]40[/C][C]555604[/C][C]463976.963874644[/C][C]91627.0361253561[/C][/ROW]
[ROW][C]41[/C][C]545544[/C][C]454661.002336182[/C][C]90882.9976638177[/C][/ROW]
[ROW][C]42[/C][C]545109[/C][C]453030.271566952[/C][C]92078.7284330485[/C][/ROW]
[ROW][C]43[/C][C]605181[/C][C]506792.31002849[/C][C]98388.68997151[/C][/ROW]
[ROW][C]44[/C][C]627856[/C][C]524444.925413105[/C][C]103411.074586895[/C][/ROW]
[ROW][C]45[/C][C]631421[/C][C]520182.348490029[/C][C]111238.651509971[/C][/ROW]
[ROW][C]46[/C][C]625671[/C][C]511676.040797721[/C][C]113994.959202279[/C][/ROW]
[ROW][C]47[/C][C]613577[/C][C]501004.617720798[/C][C]112572.382279202[/C][/ROW]
[ROW][C]48[/C][C]606463[/C][C]503493.425413105[/C][C]102969.574586895[/C][/ROW]
[ROW][C]49[/C][C]601676[/C][C]497535.795612536[/C][C]104140.204387464[/C][/ROW]
[ROW][C]50[/C][C]589121[/C][C]488005.834074074[/C][C]101115.165925926[/C][/ROW]
[ROW][C]51[/C][C]573559[/C][C]476301.872535612[/C][C]97257.1274643875[/C][/ROW]
[ROW][C]52[/C][C]558487[/C][C]466492.372535613[/C][C]91994.6274643875[/C][/ROW]
[ROW][C]53[/C][C]552148[/C][C]457176.410997151[/C][C]94971.589002849[/C][/ROW]
[ROW][C]54[/C][C]545720[/C][C]455545.68022792[/C][C]90174.3197720798[/C][/ROW]
[ROW][C]55[/C][C]606569[/C][C]509307.718689459[/C][C]97261.2813105414[/C][/ROW]
[ROW][C]56[/C][C]636067[/C][C]526960.334074074[/C][C]109106.665925926[/C][/ROW]
[ROW][C]57[/C][C]630704[/C][C]522697.757150997[/C][C]108006.242849003[/C][/ROW]
[ROW][C]58[/C][C]623275[/C][C]514191.449458689[/C][C]109083.550541311[/C][/ROW]
[ROW][C]59[/C][C]617771[/C][C]503520.026381766[/C][C]114250.973618234[/C][/ROW]
[ROW][C]60[/C][C]605401[/C][C]506008.834074074[/C][C]99392.165925926[/C][/ROW]
[ROW][C]61[/C][C]619393[/C][C]500051.204273504[/C][C]119341.795726496[/C][/ROW]
[ROW][C]62[/C][C]596019[/C][C]490521.242735043[/C][C]105497.757264957[/C][/ROW]
[ROW][C]63[/C][C]569977[/C][C]478817.281196581[/C][C]91159.7188034188[/C][/ROW]
[ROW][C]64[/C][C]546213[/C][C]469007.781196581[/C][C]77205.2188034188[/C][/ROW]
[ROW][C]65[/C][C]528492[/C][C]459691.81965812[/C][C]68800.1803418804[/C][/ROW]
[ROW][C]66[/C][C]505944[/C][C]458061.088888889[/C][C]47882.9111111111[/C][/ROW]
[ROW][C]67[/C][C]554910[/C][C]511823.127350427[/C][C]43086.8726495727[/C][/ROW]
[ROW][C]68[/C][C]567831[/C][C]529475.742735043[/C][C]38355.2572649573[/C][/ROW]
[ROW][C]69[/C][C]564021[/C][C]525213.165811966[/C][C]38807.8341880342[/C][/ROW]
[ROW][C]70[/C][C]552800[/C][C]516706.858119658[/C][C]36093.1418803419[/C][/ROW]
[ROW][C]71[/C][C]541102[/C][C]506035.435042735[/C][C]35066.564957265[/C][/ROW]
[ROW][C]72[/C][C]542378[/C][C]508524.242735043[/C][C]33853.7572649573[/C][/ROW]
[ROW][C]73[/C][C]540380[/C][C]502566.612934473[/C][C]37813.3870655271[/C][/ROW]
[ROW][C]74[/C][C]521219[/C][C]493036.651396011[/C][C]28182.3486039886[/C][/ROW]
[ROW][C]75[/C][C]504652[/C][C]481332.68985755[/C][C]23319.3101424502[/C][/ROW]
[ROW][C]76[/C][C]490626[/C][C]471523.18985755[/C][C]19102.8101424502[/C][/ROW]
[ROW][C]77[/C][C]481686[/C][C]462207.228319088[/C][C]19478.7716809117[/C][/ROW]
[ROW][C]78[/C][C]477930[/C][C]460576.497549858[/C][C]17353.5024501425[/C][/ROW]
[ROW][C]79[/C][C]522605[/C][C]514338.536011396[/C][C]8266.463988604[/C][/ROW]
[ROW][C]80[/C][C]531432[/C][C]531991.151396011[/C][C]-559.151396011392[/C][/ROW]
[ROW][C]81[/C][C]532355[/C][C]527728.574472934[/C][C]4626.42552706552[/C][/ROW]
[ROW][C]82[/C][C]539954[/C][C]519222.266780627[/C][C]20731.7332193732[/C][/ROW]
[ROW][C]83[/C][C]524987[/C][C]508550.843703704[/C][C]16436.1562962963[/C][/ROW]
[ROW][C]84[/C][C]533307[/C][C]511039.651396011[/C][C]22267.3486039886[/C][/ROW]
[ROW][C]85[/C][C]530541[/C][C]505082.021595442[/C][C]25458.9784045585[/C][/ROW]
[ROW][C]86[/C][C]508392[/C][C]495552.06005698[/C][C]12839.93994302[/C][/ROW]
[ROW][C]87[/C][C]495208[/C][C]483848.098518518[/C][C]11359.9014814815[/C][/ROW]
[ROW][C]88[/C][C]482223[/C][C]474038.598518518[/C][C]8184.40148148149[/C][/ROW]
[ROW][C]89[/C][C]470495[/C][C]464722.636980057[/C][C]5772.36301994303[/C][/ROW]
[ROW][C]90[/C][C]466106[/C][C]463091.906210826[/C][C]3014.09378917381[/C][/ROW]
[ROW][C]91[/C][C]515037[/C][C]516853.944672365[/C][C]-1816.94467236467[/C][/ROW]
[ROW][C]92[/C][C]517752[/C][C]534506.56005698[/C][C]-16754.56005698[/C][/ROW]
[ROW][C]93[/C][C]515565[/C][C]530243.983133903[/C][C]-14678.9831339031[/C][/ROW]
[ROW][C]94[/C][C]510727[/C][C]521737.675441595[/C][C]-11010.6754415954[/C][/ROW]
[ROW][C]95[/C][C]499725[/C][C]511066.252364672[/C][C]-11341.2523646724[/C][/ROW]
[ROW][C]96[/C][C]498369[/C][C]513555.06005698[/C][C]-15186.06005698[/C][/ROW]
[ROW][C]97[/C][C]493756[/C][C]507597.43025641[/C][C]-13841.4302564102[/C][/ROW]
[ROW][C]98[/C][C]476141[/C][C]498067.468717949[/C][C]-21926.4687179487[/C][/ROW]
[ROW][C]99[/C][C]458458[/C][C]486363.507179487[/C][C]-27905.5071794872[/C][/ROW]
[ROW][C]100[/C][C]443182[/C][C]476554.007179487[/C][C]-33372.0071794872[/C][/ROW]
[ROW][C]101[/C][C]429597[/C][C]467238.045641026[/C][C]-37641.0456410256[/C][/ROW]
[ROW][C]102[/C][C]424476[/C][C]465607.314871795[/C][C]-41131.3148717948[/C][/ROW]
[ROW][C]103[/C][C]476257[/C][C]519369.353333333[/C][C]-43112.3533333333[/C][/ROW]
[ROW][C]104[/C][C]480555[/C][C]537021.968717949[/C][C]-56466.9687179487[/C][/ROW]
[ROW][C]105[/C][C]469762[/C][C]532759.391794872[/C][C]-62997.3917948718[/C][/ROW]
[ROW][C]106[/C][C]459820[/C][C]524253.084102564[/C][C]-64433.0841025641[/C][/ROW]
[ROW][C]107[/C][C]451028[/C][C]513581.661025641[/C][C]-62553.661025641[/C][/ROW]
[ROW][C]108[/C][C]450065[/C][C]516070.468717949[/C][C]-66005.4687179487[/C][/ROW]
[ROW][C]109[/C][C]444385[/C][C]510112.838917379[/C][C]-65727.8389173788[/C][/ROW]
[ROW][C]110[/C][C]428846[/C][C]500582.877378917[/C][C]-71736.8773789174[/C][/ROW]
[ROW][C]111[/C][C]421020[/C][C]488878.915840456[/C][C]-67858.9158404558[/C][/ROW]
[ROW][C]112[/C][C]399778[/C][C]479069.415840456[/C][C]-79291.4158404558[/C][/ROW]
[ROW][C]113[/C][C]389005[/C][C]469753.454301994[/C][C]-80748.4543019943[/C][/ROW]
[ROW][C]114[/C][C]384018[/C][C]468122.723532763[/C][C]-84104.7235327635[/C][/ROW]
[ROW][C]115[/C][C]431933[/C][C]521884.761994302[/C][C]-89951.761994302[/C][/ROW]
[ROW][C]116[/C][C]445844[/C][C]539537.377378917[/C][C]-93693.3773789174[/C][/ROW]
[ROW][C]117[/C][C]431464[/C][C]535274.80045584[/C][C]-103810.80045584[/C][/ROW]
[ROW][C]118[/C][C]423263[/C][C]526768.492763533[/C][C]-103505.492763533[/C][/ROW]
[ROW][C]119[/C][C]415881[/C][C]516097.06968661[/C][C]-100216.06968661[/C][/ROW]
[ROW][C]120[/C][C]416208[/C][C]518585.877378917[/C][C]-102377.877378917[/C][/ROW]
[ROW][C]121[/C][C]413491[/C][C]512628.247578348[/C][C]-99137.2475783475[/C][/ROW]
[ROW][C]122[/C][C]399153[/C][C]503098.286039886[/C][C]-103945.286039886[/C][/ROW]
[ROW][C]123[/C][C]385939[/C][C]491394.324501424[/C][C]-105455.324501424[/C][/ROW]
[ROW][C]124[/C][C]373917[/C][C]481584.824501425[/C][C]-107667.824501424[/C][/ROW]
[ROW][C]125[/C][C]364635[/C][C]472268.862962963[/C][C]-107633.862962963[/C][/ROW]
[ROW][C]126[/C][C]364696[/C][C]470638.132193732[/C][C]-105942.132193732[/C][/ROW]
[ROW][C]127[/C][C]418358[/C][C]524400.17065527[/C][C]-106042.170655271[/C][/ROW]
[ROW][C]128[/C][C]428212[/C][C]542052.786039886[/C][C]-113840.786039886[/C][/ROW]
[ROW][C]129[/C][C]423730[/C][C]537790.209116809[/C][C]-114060.209116809[/C][/ROW]
[ROW][C]130[/C][C]420677[/C][C]529283.901424501[/C][C]-108606.901424501[/C][/ROW]
[ROW][C]131[/C][C]417428[/C][C]518612.478347578[/C][C]-101184.478347578[/C][/ROW]
[ROW][C]132[/C][C]423245[/C][C]521101.286039886[/C][C]-97856.286039886[/C][/ROW]
[ROW][C]133[/C][C]423113[/C][C]515143.656239316[/C][C]-92030.6562393162[/C][/ROW]
[ROW][C]134[/C][C]418873[/C][C]505613.694700855[/C][C]-86740.6947008547[/C][/ROW]
[ROW][C]135[/C][C]405733[/C][C]493909.733162393[/C][C]-88176.7331623931[/C][/ROW]
[ROW][C]136[/C][C]397812[/C][C]484100.233162393[/C][C]-86288.2331623931[/C][/ROW]
[ROW][C]137[/C][C]389918[/C][C]474784.271623932[/C][C]-84866.2716239316[/C][/ROW]
[ROW][C]138[/C][C]391116[/C][C]473153.540854701[/C][C]-82037.5408547008[/C][/ROW]
[ROW][C]139[/C][C]443814[/C][C]526915.579316239[/C][C]-83101.5793162393[/C][/ROW]
[ROW][C]140[/C][C]460373[/C][C]544568.194700855[/C][C]-84195.1947008547[/C][/ROW]
[ROW][C]141[/C][C]455422[/C][C]540305.617777778[/C][C]-84883.6177777778[/C][/ROW]
[ROW][C]142[/C][C]456288[/C][C]531799.31008547[/C][C]-75511.3100854701[/C][/ROW]
[ROW][C]143[/C][C]452233[/C][C]521127.887008547[/C][C]-68894.887008547[/C][/ROW]
[ROW][C]144[/C][C]459256[/C][C]523616.694700855[/C][C]-64360.6947008547[/C][/ROW]
[ROW][C]145[/C][C]461146[/C][C]517659.064900285[/C][C]-56513.0649002848[/C][/ROW]
[ROW][C]146[/C][C]451391[/C][C]508129.103361823[/C][C]-56738.1033618234[/C][/ROW]
[ROW][C]147[/C][C]443101[/C][C]496425.141823362[/C][C]-53324.1418233618[/C][/ROW]
[ROW][C]148[/C][C]438810[/C][C]486615.641823362[/C][C]-47805.6418233618[/C][/ROW]
[ROW][C]149[/C][C]430457[/C][C]477299.6802849[/C][C]-46842.6802849003[/C][/ROW]
[ROW][C]150[/C][C]435721[/C][C]475668.949515669[/C][C]-39947.9495156695[/C][/ROW]
[ROW][C]151[/C][C]488280[/C][C]529430.987977208[/C][C]-41150.987977208[/C][/ROW]
[ROW][C]152[/C][C]505814[/C][C]547083.603361823[/C][C]-41269.6033618234[/C][/ROW]
[ROW][C]153[/C][C]502338[/C][C]542821.026438746[/C][C]-40483.0264387464[/C][/ROW]
[ROW][C]154[/C][C]500910[/C][C]534314.718746439[/C][C]-33404.7187464387[/C][/ROW]
[ROW][C]155[/C][C]501434[/C][C]523643.295669516[/C][C]-22209.2956695157[/C][/ROW]
[ROW][C]156[/C][C]515476[/C][C]526132.103361823[/C][C]-10656.1033618234[/C][/ROW]
[ROW][C]157[/C][C]520862[/C][C]520174.473561254[/C][C]687.526438746494[/C][/ROW]
[ROW][C]158[/C][C]519517[/C][C]510644.512022792[/C][C]8872.48797720799[/C][/ROW]
[ROW][C]159[/C][C]511805[/C][C]498940.550484331[/C][C]12864.4495156695[/C][/ROW]
[ROW][C]160[/C][C]508607[/C][C]489131.050484331[/C][C]19475.9495156695[/C][/ROW]
[ROW][C]161[/C][C]505327[/C][C]479815.088945869[/C][C]25511.911054131[/C][/ROW]
[ROW][C]162[/C][C]511435[/C][C]478184.358176638[/C][C]33250.6418233618[/C][/ROW]
[ROW][C]163[/C][C]570158[/C][C]531946.396638177[/C][C]38211.6033618234[/C][/ROW]
[ROW][C]164[/C][C]591665[/C][C]549599.012022792[/C][C]42065.987977208[/C][/ROW]
[ROW][C]165[/C][C]593572[/C][C]545336.435099715[/C][C]48235.5649002849[/C][/ROW]
[ROW][C]166[/C][C]586346[/C][C]536830.127407407[/C][C]49515.8725925926[/C][/ROW]
[ROW][C]167[/C][C]586063[/C][C]526158.704330484[/C][C]59904.2956695157[/C][/ROW]
[ROW][C]168[/C][C]591504[/C][C]528647.512022792[/C][C]62856.487977208[/C][/ROW]
[ROW][C]169[/C][C]594033[/C][C]522689.882222222[/C][C]71343.1177777779[/C][/ROW]
[ROW][C]170[/C][C]585597[/C][C]513159.920683761[/C][C]72437.0793162393[/C][/ROW]
[ROW][C]171[/C][C]572450[/C][C]501455.959145299[/C][C]70994.0408547009[/C][/ROW]
[ROW][C]172[/C][C]562917[/C][C]491646.459145299[/C][C]71270.5408547009[/C][/ROW]
[ROW][C]173[/C][C]554675[/C][C]482330.497606838[/C][C]72344.5023931624[/C][/ROW]
[ROW][C]174[/C][C]553997[/C][C]480699.766837607[/C][C]73297.2331623932[/C][/ROW]
[ROW][C]175[/C][C]601310[/C][C]534461.805299145[/C][C]66848.1947008547[/C][/ROW]
[ROW][C]176[/C][C]622255[/C][C]552114.420683761[/C][C]70140.5793162393[/C][/ROW]
[ROW][C]177[/C][C]616735[/C][C]547851.843760684[/C][C]68883.1562393162[/C][/ROW]
[ROW][C]178[/C][C]606480[/C][C]539345.536068376[/C][C]67134.463931624[/C][/ROW]
[ROW][C]179[/C][C]595079[/C][C]528674.112991453[/C][C]66404.887008547[/C][/ROW]
[ROW][C]180[/C][C]598588[/C][C]531162.920683761[/C][C]67425.0793162394[/C][/ROW]
[ROW][C]181[/C][C]599917[/C][C]525205.290883191[/C][C]74711.7091168092[/C][/ROW]
[ROW][C]182[/C][C]591573[/C][C]515675.329344729[/C][C]75897.6706552707[/C][/ROW]
[ROW][C]183[/C][C]575489[/C][C]503971.367806268[/C][C]71517.6321937322[/C][/ROW]
[ROW][C]184[/C][C]567223[/C][C]494161.867806268[/C][C]73061.1321937322[/C][/ROW]
[ROW][C]185[/C][C]555338[/C][C]484845.906267806[/C][C]70492.0937321937[/C][/ROW]
[ROW][C]186[/C][C]555252[/C][C]483215.175498575[/C][C]72036.8245014245[/C][/ROW]
[ROW][C]187[/C][C]608249[/C][C]536977.213960114[/C][C]71271.786039886[/C][/ROW]
[ROW][C]188[/C][C]630859[/C][C]554629.82934473[/C][C]76229.1706552706[/C][/ROW]
[ROW][C]189[/C][C]628632[/C][C]550367.252421652[/C][C]78264.7475783476[/C][/ROW]
[ROW][C]190[/C][C]624435[/C][C]541860.944729345[/C][C]82574.0552706553[/C][/ROW]
[ROW][C]191[/C][C]609670[/C][C]531189.521652422[/C][C]78480.4783475784[/C][/ROW]
[ROW][C]192[/C][C]615830[/C][C]533678.329344729[/C][C]82151.6706552707[/C][/ROW]
[ROW][C]193[/C][C]621170[/C][C]527720.69954416[/C][C]93449.3004558405[/C][/ROW]
[ROW][C]194[/C][C]604212[/C][C]518190.738005698[/C][C]86021.261994302[/C][/ROW]
[ROW][C]195[/C][C]584348[/C][C]506486.776467236[/C][C]77861.2235327636[/C][/ROW]
[ROW][C]196[/C][C]573717[/C][C]496677.276467236[/C][C]77039.7235327635[/C][/ROW]
[ROW][C]197[/C][C]555234[/C][C]487361.314928775[/C][C]67872.6850712251[/C][/ROW]
[ROW][C]198[/C][C]544897[/C][C]485730.584159544[/C][C]59166.4158404558[/C][/ROW]
[ROW][C]199[/C][C]598866[/C][C]539492.622621083[/C][C]59373.3773789174[/C][/ROW]
[ROW][C]200[/C][C]620081[/C][C]557145.238005698[/C][C]62935.761994302[/C][/ROW]
[ROW][C]201[/C][C]607699[/C][C]552882.661082621[/C][C]54816.3389173789[/C][/ROW]
[ROW][C]202[/C][C]589960[/C][C]544376.353390313[/C][C]45583.6466096866[/C][/ROW]
[ROW][C]203[/C][C]578665[/C][C]533704.93031339[/C][C]44960.0696866097[/C][/ROW]
[ROW][C]204[/C][C]580166[/C][C]536193.738005698[/C][C]43972.261994302[/C][/ROW]
[ROW][C]205[/C][C]579457[/C][C]530236.108205128[/C][C]49220.8917948719[/C][/ROW]
[ROW][C]206[/C][C]571560[/C][C]520706.146666667[/C][C]50853.8533333333[/C][/ROW]
[ROW][C]207[/C][C]560460[/C][C]509002.185128205[/C][C]51457.8148717949[/C][/ROW]
[ROW][C]208[/C][C]551397[/C][C]499192.685128205[/C][C]52204.3148717949[/C][/ROW]
[ROW][C]209[/C][C]536763[/C][C]489876.723589744[/C][C]46886.2764102564[/C][/ROW]
[ROW][C]210[/C][C]540562[/C][C]488245.992820513[/C][C]52316.0071794872[/C][/ROW]
[ROW][C]211[/C][C]588184[/C][C]542008.031282051[/C][C]46175.9687179487[/C][/ROW]
[ROW][C]212[/C][C]607049[/C][C]559660.646666667[/C][C]47388.3533333333[/C][/ROW]
[ROW][C]213[/C][C]598968[/C][C]555398.06974359[/C][C]43569.9302564103[/C][/ROW]
[ROW][C]214[/C][C]577644[/C][C]546891.762051282[/C][C]30752.2379487179[/C][/ROW]
[ROW][C]215[/C][C]562640[/C][C]536220.338974359[/C][C]26419.661025641[/C][/ROW]
[ROW][C]216[/C][C]565867[/C][C]538709.146666667[/C][C]27157.8533333333[/C][/ROW]
[ROW][C]217[/C][C]561274[/C][C]532751.516866097[/C][C]28522.4831339032[/C][/ROW]
[ROW][C]218[/C][C]554144[/C][C]523221.555327635[/C][C]30922.4446723647[/C][/ROW]
[ROW][C]219[/C][C]539900[/C][C]511517.593789174[/C][C]28382.4062108262[/C][/ROW]
[ROW][C]220[/C][C]526271[/C][C]501708.093789174[/C][C]24562.9062108262[/C][/ROW]
[ROW][C]221[/C][C]511841[/C][C]492392.132250712[/C][C]19448.8677492877[/C][/ROW]
[ROW][C]222[/C][C]505282[/C][C]490761.401481482[/C][C]14520.5985185185[/C][/ROW]
[ROW][C]223[/C][C]554083[/C][C]544523.43994302[/C][C]9559.56005698003[/C][/ROW]
[ROW][C]224[/C][C]584225[/C][C]562176.055327635[/C][C]22048.9446723647[/C][/ROW]
[ROW][C]225[/C][C]568858[/C][C]557913.478404558[/C][C]10944.5215954416[/C][/ROW]
[ROW][C]226[/C][C]539516[/C][C]549407.170712251[/C][C]-9891.17071225072[/C][/ROW]
[ROW][C]227[/C][C]521612[/C][C]538735.747635328[/C][C]-17123.7476353277[/C][/ROW]
[ROW][C]228[/C][C]525562[/C][C]541224.555327635[/C][C]-15662.5553276353[/C][/ROW]
[ROW][C]229[/C][C]526519[/C][C]535266.925527066[/C][C]-8747.92552706548[/C][/ROW]
[ROW][C]230[/C][C]515713[/C][C]525736.963988604[/C][C]-10023.963988604[/C][/ROW]
[ROW][C]231[/C][C]503454[/C][C]514033.002450142[/C][C]-10579.0024501425[/C][/ROW]
[ROW][C]232[/C][C]489301[/C][C]504223.502450142[/C][C]-14922.5024501425[/C][/ROW]
[ROW][C]233[/C][C]479020[/C][C]494907.540911681[/C][C]-15887.5409116809[/C][/ROW]
[ROW][C]234[/C][C]475102[/C][C]493276.81014245[/C][C]-18174.8101424501[/C][/ROW]
[ROW][C]235[/C][C]523682[/C][C]547038.848603989[/C][C]-23356.8486039886[/C][/ROW]
[ROW][C]236[/C][C]551528[/C][C]564691.463988604[/C][C]-13163.463988604[/C][/ROW]
[ROW][C]237[/C][C]531626[/C][C]560428.887065527[/C][C]-28802.8870655271[/C][/ROW]
[ROW][C]238[/C][C]511037[/C][C]551922.579373219[/C][C]-40885.5793732194[/C][/ROW]
[ROW][C]239[/C][C]492417[/C][C]541251.156296296[/C][C]-48834.1562962963[/C][/ROW]
[ROW][C]240[/C][C]492188[/C][C]543739.963988604[/C][C]-51551.963988604[/C][/ROW]
[ROW][C]241[/C][C]492865[/C][C]537782.334188034[/C][C]-44917.3341880341[/C][/ROW]
[ROW][C]242[/C][C]480961[/C][C]528252.372649573[/C][C]-47291.3726495727[/C][/ROW]
[ROW][C]243[/C][C]461935[/C][C]516548.411111111[/C][C]-54613.4111111111[/C][/ROW]
[ROW][C]244[/C][C]456608[/C][C]506738.911111111[/C][C]-50130.9111111111[/C][/ROW]
[ROW][C]245[/C][C]441977[/C][C]497422.94957265[/C][C]-55445.9495726496[/C][/ROW]
[ROW][C]246[/C][C]439148[/C][C]495792.218803419[/C][C]-56644.2188034188[/C][/ROW]
[ROW][C]247[/C][C]488180[/C][C]549554.257264957[/C][C]-61374.2572649573[/C][/ROW]
[ROW][C]248[/C][C]520564[/C][C]567206.872649573[/C][C]-46642.8726495727[/C][/ROW]
[ROW][C]249[/C][C]501492[/C][C]562944.295726496[/C][C]-61452.2957264957[/C][/ROW]
[ROW][C]250[/C][C]485025[/C][C]554437.988034188[/C][C]-69412.988034188[/C][/ROW]
[ROW][C]251[/C][C]464196[/C][C]543766.564957265[/C][C]-79570.564957265[/C][/ROW]
[ROW][C]252[/C][C]460170[/C][C]546255.372649573[/C][C]-86085.3726495726[/C][/ROW]
[ROW][C]253[/C][C]467037[/C][C]540297.742849003[/C][C]-73260.7428490028[/C][/ROW]
[ROW][C]254[/C][C]460070[/C][C]530767.781310541[/C][C]-70697.7813105414[/C][/ROW]
[ROW][C]255[/C][C]447988[/C][C]519063.81977208[/C][C]-71075.8197720798[/C][/ROW]
[ROW][C]256[/C][C]442867[/C][C]509254.31977208[/C][C]-66387.3197720798[/C][/ROW]
[ROW][C]257[/C][C]436087[/C][C]499938.358233618[/C][C]-63851.3582336183[/C][/ROW]
[ROW][C]258[/C][C]431328[/C][C]498307.627464387[/C][C]-66979.6274643874[/C][/ROW]
[ROW][C]259[/C][C]484015[/C][C]552069.665925926[/C][C]-68054.665925926[/C][/ROW]
[ROW][C]260[/C][C]509673[/C][C]569722.281310541[/C][C]-60049.2813105413[/C][/ROW]
[ROW][C]261[/C][C]512927[/C][C]565459.704387464[/C][C]-52532.7043874644[/C][/ROW]
[ROW][C]262[/C][C]502831[/C][C]556953.396695157[/C][C]-54122.3966951567[/C][/ROW]
[ROW][C]263[/C][C]470984[/C][C]546281.973618234[/C][C]-75297.9736182336[/C][/ROW]
[ROW][C]264[/C][C]471067[/C][C]548770.781310541[/C][C]-77703.7813105413[/C][/ROW]
[ROW][C]265[/C][C]476049[/C][C]542813.151509971[/C][C]-66764.1515099714[/C][/ROW]
[ROW][C]266[/C][C]474605[/C][C]533283.18997151[/C][C]-58678.18997151[/C][/ROW]
[ROW][C]267[/C][C]470439[/C][C]521579.228433048[/C][C]-51140.2284330485[/C][/ROW]
[ROW][C]268[/C][C]461251[/C][C]511769.728433048[/C][C]-50518.7284330485[/C][/ROW]
[ROW][C]269[/C][C]454724[/C][C]502453.766894587[/C][C]-47729.7668945869[/C][/ROW]
[ROW][C]270[/C][C]455626[/C][C]500823.036125356[/C][C]-45197.0361253561[/C][/ROW]
[ROW][C]271[/C][C]516847[/C][C]554585.074586895[/C][C]-37738.0745868946[/C][/ROW]
[ROW][C]272[/C][C]525192[/C][C]572237.68997151[/C][C]-47045.68997151[/C][/ROW]
[ROW][C]273[/C][C]522975[/C][C]567975.113048433[/C][C]-45000.1130484331[/C][/ROW]
[ROW][C]274[/C][C]518585[/C][C]559468.805356125[/C][C]-40883.8053561254[/C][/ROW]
[ROW][C]275[/C][C]509239[/C][C]548797.382279202[/C][C]-39558.3822792023[/C][/ROW]
[ROW][C]276[/C][C]512238[/C][C]551286.18997151[/C][C]-39048.18997151[/C][/ROW]
[ROW][C]277[/C][C]519164[/C][C]545328.56017094[/C][C]-26164.5601709401[/C][/ROW]
[ROW][C]278[/C][C]517009[/C][C]535798.598632479[/C][C]-18789.5986324786[/C][/ROW]
[ROW][C]279[/C][C]509933[/C][C]524094.637094017[/C][C]-14161.6370940171[/C][/ROW]
[ROW][C]280[/C][C]509127[/C][C]514285.137094017[/C][C]-5158.13709401712[/C][/ROW]
[ROW][C]281[/C][C]500857[/C][C]504969.175555556[/C][C]-4112.17555555558[/C][/ROW]
[ROW][C]282[/C][C]506971[/C][C]503338.444786325[/C][C]3632.5552136752[/C][/ROW]
[ROW][C]283[/C][C]569323[/C][C]557100.483247863[/C][C]12222.5167521368[/C][/ROW]
[ROW][C]284[/C][C]579714[/C][C]574753.098632479[/C][C]4960.90136752136[/C][/ROW]
[ROW][C]285[/C][C]577992[/C][C]570490.521709402[/C][C]7501.47829059827[/C][/ROW]
[ROW][C]286[/C][C]565464[/C][C]561984.214017094[/C][C]3479.78598290596[/C][/ROW]
[ROW][C]287[/C][C]547344[/C][C]551312.790940171[/C][C]-3968.79094017096[/C][/ROW]
[ROW][C]288[/C][C]554788[/C][C]553801.598632479[/C][C]986.401367521348[/C][/ROW]
[ROW][C]289[/C][C]562325[/C][C]547843.968831909[/C][C]14481.0311680912[/C][/ROW]
[ROW][C]290[/C][C]560854[/C][C]538314.007293447[/C][C]22539.9927065527[/C][/ROW]
[ROW][C]291[/C][C]555332[/C][C]526610.045754986[/C][C]28721.9542450142[/C][/ROW]
[ROW][C]292[/C][C]543599[/C][C]516800.545754986[/C][C]26798.4542450142[/C][/ROW]
[ROW][C]293[/C][C]536662[/C][C]507484.584216524[/C][C]29177.4157834757[/C][/ROW]
[ROW][C]294[/C][C]542722[/C][C]505853.853447293[/C][C]36868.1465527065[/C][/ROW]
[ROW][C]295[/C][C]593530[/C][C]559615.891908832[/C][C]33914.1080911681[/C][/ROW]
[ROW][C]296[/C][C]610763[/C][C]577268.507293447[/C][C]33494.4927065527[/C][/ROW]
[ROW][C]297[/C][C]612613[/C][C]573005.93037037[/C][C]39607.0696296296[/C][/ROW]
[ROW][C]298[/C][C]611324[/C][C]564499.622678063[/C][C]46824.3773219373[/C][/ROW]
[ROW][C]299[/C][C]594167[/C][C]553828.19960114[/C][C]40338.8003988604[/C][/ROW]
[ROW][C]300[/C][C]595454[/C][C]556317.007293447[/C][C]39136.9927065527[/C][/ROW]
[ROW][C]301[/C][C]590865[/C][C]550359.377492877[/C][C]40505.6225071226[/C][/ROW]
[ROW][C]302[/C][C]589379[/C][C]540829.415954416[/C][C]48549.584045584[/C][/ROW]
[ROW][C]303[/C][C]584428[/C][C]529125.454415954[/C][C]55302.5455840456[/C][/ROW]
[ROW][C]304[/C][C]573100[/C][C]519315.954415954[/C][C]53784.0455840456[/C][/ROW]
[ROW][C]305[/C][C]567456[/C][C]509999.992877493[/C][C]57456.0071225071[/C][/ROW]
[ROW][C]306[/C][C]569028[/C][C]508369.262108262[/C][C]60658.7378917379[/C][/ROW]
[ROW][C]307[/C][C]620735[/C][C]562131.300569801[/C][C]58603.6994301994[/C][/ROW]
[ROW][C]308[/C][C]628884[/C][C]579783.915954416[/C][C]49100.084045584[/C][/ROW]
[ROW][C]309[/C][C]628232[/C][C]575521.339031339[/C][C]52710.660968661[/C][/ROW]
[ROW][C]310[/C][C]612117[/C][C]567015.031339031[/C][C]45101.9686609687[/C][/ROW]
[ROW][C]311[/C][C]595404[/C][C]556343.608262108[/C][C]39060.3917378917[/C][/ROW]
[ROW][C]312[/C][C]597141[/C][C]558832.415954416[/C][C]38308.584045584[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148163&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148163&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
1348542487474.160968663-138932.160968663
2335658477944.199430199-142286.199430199
3330664466240.237891738-135576.237891738
4326814456430.737891738-129616.737891738
5322900447114.776353276-124214.776353276
6322310445484.045584046-123174.045584046
7385164499246.084045584-114082.084045584
8404861516898.699430199-112037.699430199
9412136512636.122507122-100500.122507122
10411057504129.814814815-93072.8148148148
11410040493458.391737892-83418.3917378917
12414980495947.199430199-80967.1994301994
13413626489989.56962963-76363.5696296295
14411062480459.608091168-69397.6080911681
15408352468755.646552707-60403.6465527065
16409780458946.146552706-49166.1465527065
17411318449630.185014245-38312.185014245
18415555447999.454245014-32444.4542450142
19479481501761.492706553-22280.4927065527
20497826519414.108091168-21588.1080911681
21501638515151.531168091-13513.5311680912
22497990506645.223475783-8655.22347578346
23499287495973.800398863313.19960113961
24506247498462.6080911687784.39190883193
25510401492504.97829059817896.0217094018
26508642482975.01675213725666.9832478633
27501805471271.05521367530533.9447863248
28495476461461.55521367534014.4447863248
29490336452145.59367521438190.4063247863
30490042450514.86290598339527.1370940171
31553155504276.90136752148878.0986324786
32569999521929.51675213748069.4832478633
33573170517666.9398290655503.0601709402
34571687509160.63213675262526.3678632479
35575453498489.20905982976963.790940171
36580177500978.01675213779198.9832478633
37579849495020.38695156784828.6130484331
38574346485490.42541310588855.5745868946
39563325473786.46387464489538.5361253561
40555604463976.96387464491627.0361253561
41545544454661.00233618290882.9976638177
42545109453030.27156695292078.7284330485
43605181506792.3100284998388.68997151
44627856524444.925413105103411.074586895
45631421520182.348490029111238.651509971
46625671511676.040797721113994.959202279
47613577501004.617720798112572.382279202
48606463503493.425413105102969.574586895
49601676497535.795612536104140.204387464
50589121488005.834074074101115.165925926
51573559476301.87253561297257.1274643875
52558487466492.37253561391994.6274643875
53552148457176.41099715194971.589002849
54545720455545.6802279290174.3197720798
55606569509307.71868945997261.2813105414
56636067526960.334074074109106.665925926
57630704522697.757150997108006.242849003
58623275514191.449458689109083.550541311
59617771503520.026381766114250.973618234
60605401506008.83407407499392.165925926
61619393500051.204273504119341.795726496
62596019490521.242735043105497.757264957
63569977478817.28119658191159.7188034188
64546213469007.78119658177205.2188034188
65528492459691.8196581268800.1803418804
66505944458061.08888888947882.9111111111
67554910511823.12735042743086.8726495727
68567831529475.74273504338355.2572649573
69564021525213.16581196638807.8341880342
70552800516706.85811965836093.1418803419
71541102506035.43504273535066.564957265
72542378508524.24273504333853.7572649573
73540380502566.61293447337813.3870655271
74521219493036.65139601128182.3486039886
75504652481332.6898575523319.3101424502
76490626471523.1898575519102.8101424502
77481686462207.22831908819478.7716809117
78477930460576.49754985817353.5024501425
79522605514338.5360113968266.463988604
80531432531991.151396011-559.151396011392
81532355527728.5744729344626.42552706552
82539954519222.26678062720731.7332193732
83524987508550.84370370416436.1562962963
84533307511039.65139601122267.3486039886
85530541505082.02159544225458.9784045585
86508392495552.0600569812839.93994302
87495208483848.09851851811359.9014814815
88482223474038.5985185188184.40148148149
89470495464722.6369800575772.36301994303
90466106463091.9062108263014.09378917381
91515037516853.944672365-1816.94467236467
92517752534506.56005698-16754.56005698
93515565530243.983133903-14678.9831339031
94510727521737.675441595-11010.6754415954
95499725511066.252364672-11341.2523646724
96498369513555.06005698-15186.06005698
97493756507597.43025641-13841.4302564102
98476141498067.468717949-21926.4687179487
99458458486363.507179487-27905.5071794872
100443182476554.007179487-33372.0071794872
101429597467238.045641026-37641.0456410256
102424476465607.314871795-41131.3148717948
103476257519369.353333333-43112.3533333333
104480555537021.968717949-56466.9687179487
105469762532759.391794872-62997.3917948718
106459820524253.084102564-64433.0841025641
107451028513581.661025641-62553.661025641
108450065516070.468717949-66005.4687179487
109444385510112.838917379-65727.8389173788
110428846500582.877378917-71736.8773789174
111421020488878.915840456-67858.9158404558
112399778479069.415840456-79291.4158404558
113389005469753.454301994-80748.4543019943
114384018468122.723532763-84104.7235327635
115431933521884.761994302-89951.761994302
116445844539537.377378917-93693.3773789174
117431464535274.80045584-103810.80045584
118423263526768.492763533-103505.492763533
119415881516097.06968661-100216.06968661
120416208518585.877378917-102377.877378917
121413491512628.247578348-99137.2475783475
122399153503098.286039886-103945.286039886
123385939491394.324501424-105455.324501424
124373917481584.824501425-107667.824501424
125364635472268.862962963-107633.862962963
126364696470638.132193732-105942.132193732
127418358524400.17065527-106042.170655271
128428212542052.786039886-113840.786039886
129423730537790.209116809-114060.209116809
130420677529283.901424501-108606.901424501
131417428518612.478347578-101184.478347578
132423245521101.286039886-97856.286039886
133423113515143.656239316-92030.6562393162
134418873505613.694700855-86740.6947008547
135405733493909.733162393-88176.7331623931
136397812484100.233162393-86288.2331623931
137389918474784.271623932-84866.2716239316
138391116473153.540854701-82037.5408547008
139443814526915.579316239-83101.5793162393
140460373544568.194700855-84195.1947008547
141455422540305.617777778-84883.6177777778
142456288531799.31008547-75511.3100854701
143452233521127.887008547-68894.887008547
144459256523616.694700855-64360.6947008547
145461146517659.064900285-56513.0649002848
146451391508129.103361823-56738.1033618234
147443101496425.141823362-53324.1418233618
148438810486615.641823362-47805.6418233618
149430457477299.6802849-46842.6802849003
150435721475668.949515669-39947.9495156695
151488280529430.987977208-41150.987977208
152505814547083.603361823-41269.6033618234
153502338542821.026438746-40483.0264387464
154500910534314.718746439-33404.7187464387
155501434523643.295669516-22209.2956695157
156515476526132.103361823-10656.1033618234
157520862520174.473561254687.526438746494
158519517510644.5120227928872.48797720799
159511805498940.55048433112864.4495156695
160508607489131.05048433119475.9495156695
161505327479815.08894586925511.911054131
162511435478184.35817663833250.6418233618
163570158531946.39663817738211.6033618234
164591665549599.01202279242065.987977208
165593572545336.43509971548235.5649002849
166586346536830.12740740749515.8725925926
167586063526158.70433048459904.2956695157
168591504528647.51202279262856.487977208
169594033522689.88222222271343.1177777779
170585597513159.92068376172437.0793162393
171572450501455.95914529970994.0408547009
172562917491646.45914529971270.5408547009
173554675482330.49760683872344.5023931624
174553997480699.76683760773297.2331623932
175601310534461.80529914566848.1947008547
176622255552114.42068376170140.5793162393
177616735547851.84376068468883.1562393162
178606480539345.53606837667134.463931624
179595079528674.11299145366404.887008547
180598588531162.92068376167425.0793162394
181599917525205.29088319174711.7091168092
182591573515675.32934472975897.6706552707
183575489503971.36780626871517.6321937322
184567223494161.86780626873061.1321937322
185555338484845.90626780670492.0937321937
186555252483215.17549857572036.8245014245
187608249536977.21396011471271.786039886
188630859554629.8293447376229.1706552706
189628632550367.25242165278264.7475783476
190624435541860.94472934582574.0552706553
191609670531189.52165242278480.4783475784
192615830533678.32934472982151.6706552707
193621170527720.6995441693449.3004558405
194604212518190.73800569886021.261994302
195584348506486.77646723677861.2235327636
196573717496677.27646723677039.7235327635
197555234487361.31492877567872.6850712251
198544897485730.58415954459166.4158404558
199598866539492.62262108359373.3773789174
200620081557145.23800569862935.761994302
201607699552882.66108262154816.3389173789
202589960544376.35339031345583.6466096866
203578665533704.9303133944960.0696866097
204580166536193.73800569843972.261994302
205579457530236.10820512849220.8917948719
206571560520706.14666666750853.8533333333
207560460509002.18512820551457.8148717949
208551397499192.68512820552204.3148717949
209536763489876.72358974446886.2764102564
210540562488245.99282051352316.0071794872
211588184542008.03128205146175.9687179487
212607049559660.64666666747388.3533333333
213598968555398.0697435943569.9302564103
214577644546891.76205128230752.2379487179
215562640536220.33897435926419.661025641
216565867538709.14666666727157.8533333333
217561274532751.51686609728522.4831339032
218554144523221.55532763530922.4446723647
219539900511517.59378917428382.4062108262
220526271501708.09378917424562.9062108262
221511841492392.13225071219448.8677492877
222505282490761.40148148214520.5985185185
223554083544523.439943029559.56005698003
224584225562176.05532763522048.9446723647
225568858557913.47840455810944.5215954416
226539516549407.170712251-9891.17071225072
227521612538735.747635328-17123.7476353277
228525562541224.555327635-15662.5553276353
229526519535266.925527066-8747.92552706548
230515713525736.963988604-10023.963988604
231503454514033.002450142-10579.0024501425
232489301504223.502450142-14922.5024501425
233479020494907.540911681-15887.5409116809
234475102493276.81014245-18174.8101424501
235523682547038.848603989-23356.8486039886
236551528564691.463988604-13163.463988604
237531626560428.887065527-28802.8870655271
238511037551922.579373219-40885.5793732194
239492417541251.156296296-48834.1562962963
240492188543739.963988604-51551.963988604
241492865537782.334188034-44917.3341880341
242480961528252.372649573-47291.3726495727
243461935516548.411111111-54613.4111111111
244456608506738.911111111-50130.9111111111
245441977497422.94957265-55445.9495726496
246439148495792.218803419-56644.2188034188
247488180549554.257264957-61374.2572649573
248520564567206.872649573-46642.8726495727
249501492562944.295726496-61452.2957264957
250485025554437.988034188-69412.988034188
251464196543766.564957265-79570.564957265
252460170546255.372649573-86085.3726495726
253467037540297.742849003-73260.7428490028
254460070530767.781310541-70697.7813105414
255447988519063.81977208-71075.8197720798
256442867509254.31977208-66387.3197720798
257436087499938.358233618-63851.3582336183
258431328498307.627464387-66979.6274643874
259484015552069.665925926-68054.665925926
260509673569722.281310541-60049.2813105413
261512927565459.704387464-52532.7043874644
262502831556953.396695157-54122.3966951567
263470984546281.973618234-75297.9736182336
264471067548770.781310541-77703.7813105413
265476049542813.151509971-66764.1515099714
266474605533283.18997151-58678.18997151
267470439521579.228433048-51140.2284330485
268461251511769.728433048-50518.7284330485
269454724502453.766894587-47729.7668945869
270455626500823.036125356-45197.0361253561
271516847554585.074586895-37738.0745868946
272525192572237.68997151-47045.68997151
273522975567975.113048433-45000.1130484331
274518585559468.805356125-40883.8053561254
275509239548797.382279202-39558.3822792023
276512238551286.18997151-39048.18997151
277519164545328.56017094-26164.5601709401
278517009535798.598632479-18789.5986324786
279509933524094.637094017-14161.6370940171
280509127514285.137094017-5158.13709401712
281500857504969.175555556-4112.17555555558
282506971503338.4447863253632.5552136752
283569323557100.48324786312222.5167521368
284579714574753.0986324794960.90136752136
285577992570490.5217094027501.47829059827
286565464561984.2140170943479.78598290596
287547344551312.790940171-3968.79094017096
288554788553801.598632479986.401367521348
289562325547843.96883190914481.0311680912
290560854538314.00729344722539.9927065527
291555332526610.04575498628721.9542450142
292543599516800.54575498626798.4542450142
293536662507484.58421652429177.4157834757
294542722505853.85344729336868.1465527065
295593530559615.89190883233914.1080911681
296610763577268.50729344733494.4927065527
297612613573005.9303703739607.0696296296
298611324564499.62267806346824.3773219373
299594167553828.1996011440338.8003988604
300595454556317.00729344739136.9927065527
301590865550359.37749287740505.6225071226
302589379540829.41595441648549.584045584
303584428529125.45441595455302.5455840456
304573100519315.95441595453784.0455840456
305567456509999.99287749357456.0071225071
306569028508369.26210826260658.7378917379
307620735562131.30056980158603.6994301994
308628884579783.91595441649100.084045584
309628232575521.33903133952710.660968661
310612117567015.03133903145101.9686609687
311595404556343.60826210839060.3917378917
312597141558832.41595441638308.584045584







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.000892445623388630.001784891246777260.999107554376611
170.0002071362315427690.0004142724630855380.999792863768457
186.08799466144726e-050.0001217598932289450.999939120053385
191.43222153828468e-052.86444307656936e-050.999985677784617
202.49379556396242e-064.98759112792484e-060.999997506204436
213.16217439537071e-076.32434879074141e-070.99999968378256
223.4341008810937e-086.8682017621874e-080.999999965658991
233.86312987134778e-097.72625974269556e-090.99999999613687
244.69070841701748e-109.38141683403497e-100.99999999953093
254.45361510469845e-118.9072302093969e-110.999999999955464
265.82749061089313e-121.16549812217863e-110.999999999994173
275.55441591354079e-131.11088318270816e-120.999999999999445
285.23361382684898e-141.0467227653698e-130.999999999999948
296.73062679728383e-151.34612535945677e-140.999999999999993
301.05832328572738e-152.11664657145477e-150.999999999999999
311.55598203432782e-163.11196406865563e-161
322.91004268580587e-175.82008537161173e-171
337.30714017158195e-181.46142803431639e-171
341.35631554033292e-182.71263108066584e-181
351.53073946994151e-193.06147893988302e-191
361.88473228113069e-203.76946456226137e-201
375.37370977819631e-211.07474195563926e-201
381.17316576994611e-212.34633153989222e-211
397.82715430441178e-221.56543086088236e-211
401.10593856693978e-212.21187713387956e-211
415.78501250827691e-211.15700250165538e-201
421.56403727299304e-203.12807454598608e-201
434.15464908227534e-208.30929816455068e-201
442.99744473864676e-205.99488947729352e-201
452.12572400379794e-204.25144800759587e-201
462.12207757959458e-204.24415515918916e-201
471.53098074245542e-193.06196148491084e-191
484.64170365607535e-189.28340731215069e-181
499.0308466038797e-171.80616932077594e-161
501.34634654712758e-152.69269309425517e-150.999999999999999
512.18163218247209e-144.36326436494419e-140.999999999999978
524.25815628375632e-138.51631256751264e-130.999999999999574
533.67431085211302e-127.34862170422603e-120.999999999996326
542.87627644337351e-115.75255288674701e-110.999999999971237
551.43871271426083e-102.87742542852166e-100.999999999856129
562.81647007607146e-105.63294015214292e-100.999999999718353
577.84164767018773e-101.56832953403755e-090.999999999215835
582.23294099466728e-094.46588198933456e-090.99999999776706
596.38244196947042e-091.27648839389408e-080.999999993617558
602.8545916575185e-085.709183315037e-080.999999971454083
614.60680409799279e-089.21360819598558e-080.99999995393196
621.14289666571113e-072.28579333142226e-070.999999885710333
634.5714658458834e-079.1429316917668e-070.999999542853415
642.64213900353832e-065.28427800707665e-060.999997357860996
651.61569550681642e-053.23139101363284e-050.999983843044932
660.0001294334684887170.0002588669369774330.999870566531511
670.000855979881308050.00171195976261610.999144020118692
680.003998925015751160.007997850031502320.99600107498425
690.01362464659540960.02724929319081930.98637535340459
700.03680471289608270.07360942579216540.963195287103917
710.0842549840438290.1685099680876580.915745015956171
720.148274874521460.296549749042920.85172512547854
730.2113819189148230.4227638378296470.788618081085177
740.2881444511801050.5762889023602090.711855548819895
750.3696408411758660.7392816823517330.630359158824134
760.4509216027254430.9018432054508860.549078397274557
770.524967047433360.950065905133280.47503295256664
780.5852389813464470.8295220373071060.414761018653553
790.6569894495446570.6860211009106860.343010550455343
800.7286041930405030.5427916139189940.271395806959497
810.7847533497196210.4304933005607580.215246650280379
820.8181666495349320.3636667009301350.181833350465068
830.852822176382910.2943556472341790.147177823617089
840.874476303982860.2510473920342810.125523696017141
850.8854813298637550.229037340272490.114518670136245
860.8973758835643660.2052482328712670.102624116435634
870.9067616755389030.1864766489221950.0932383244610973
880.9147837126076330.1704325747847330.0852162873923665
890.9224098959065810.1551802081868380.0775901040934188
900.9278617200968320.1442765598063360.0721382799031678
910.9345733284070590.1308533431858820.0654266715929411
920.9438244567467910.1123510865064170.0561755432532084
930.9519174741673970.09616505166520680.0480825258326034
940.958609809989450.08278038002110080.0413901900105504
950.9648556339560330.07028873208793490.0351443660439674
960.9697951649876120.06040967002477590.030204835012388
970.9717178104068430.05656437918631360.0282821895931568
980.9734924007944840.0530151984110320.026507599205516
990.975312517385040.04937496522991920.0246874826149596
1000.9771159072409780.04576818551804450.0228840927590222
1010.9790207778201980.04195844435960310.0209792221798015
1020.9804421625779820.03911567484403530.0195578374220176
1030.981902637759770.0361947244804620.018097362240231
1040.9841827796350860.03163444072982870.0158172203649144
1050.986921598092060.02615680381588150.0130784019079408
1060.9893712296455350.02125754070892920.0106287703544646
1070.99124413711590.01751172576819870.00875586288409935
1080.9927104975313370.0145790049373260.00728950246866302
1090.9933915005265010.01321699894699750.00660849947349876
1100.9940446098356770.01191078032864540.0059553901643227
1110.9943358556861040.01132828862779280.00566414431389642
1120.9949610652666320.01007786946673630.00503893473336814
1130.9955097028754060.008980594249187840.00449029712459392
1140.9960016659834460.007996668033107640.00399833401655382
1150.9966050370549370.006789925890126610.00339496294506331
1160.9971502108540820.005699578291835220.00284978914591761
1170.9978546708186840.00429065836263160.0021453291813158
1180.9983902512307960.003219497538408290.00160974876920414
1190.9987528135876370.002494372824725670.00124718641236284
1200.9990383031162330.001923393767534120.000961696883767058
1210.999195263570130.00160947285974110.00080473642987055
1220.9993544812293880.001291037541223880.000645518770611939
1230.9994908480612120.001018303877576210.000509151938788107
1240.9996096070879390.0007807858241229020.000390392912061451
1250.9997028125545710.0005943748908569690.000297187445428484
1260.9997708896783550.0004582206432901720.000229110321645086
1270.9998257737955450.0003484524089108950.000174226204455447
1280.9998835135795850.0002329728408289240.000116486420414462
1290.9999243262632020.0001513474735965317.56737367982656e-05
1300.9999477890071360.0001044219857281615.22109928640805e-05
1310.9999604947999317.90104001376366e-053.95052000688183e-05
1320.9999693093111976.13813776059391e-053.06906888029695e-05
1330.9999749088338875.01823322251811e-052.50911661125906e-05
1340.9999788498580424.23002839150827e-052.11501419575414e-05
1350.9999829954027583.40091944845697e-051.70045972422849e-05
1360.9999865301457932.69397084134936e-051.34698542067468e-05
1370.9999894140046132.11719907731902e-051.05859953865951e-05
1380.9999917610539531.64778920940956e-058.2389460470478e-06
1390.9999938561717231.22876565535923e-056.14382827679613e-06
1400.9999957997169428.40056611610564e-064.20028305805282e-06
1410.999997255395475.48920905857923e-062.74460452928962e-06
1420.9999979360693634.12786127304336e-062.06393063652168e-06
1430.999998286063053.42787390166572e-061.71393695083286e-06
1440.9999985476286272.90474274589083e-061.45237137294542e-06
1450.9999987434575072.5130849868582e-061.2565424934291e-06
1460.999998990129522.01974096002009e-061.00987048001004e-06
1470.9999991864137751.62717244988566e-068.13586224942828e-07
1480.9999993339142611.33217147754796e-066.66085738773978e-07
1490.999999461510741.07697851945171e-065.38489259725853e-07
1500.9999995517422978.96515405311334e-074.48257702655667e-07
1510.9999996387080887.22583824082706e-073.61291912041353e-07
1520.99999973336065.33278798643319e-072.6663939932166e-07
1530.9999998033755213.9324895781322e-071.9662447890661e-07
1540.999999834106723.31786558725883e-071.65893279362941e-07
1550.9999998333187553.33362489995273e-071.66681244997637e-07
1560.999999819048783.61902442078667e-071.80951221039334e-07
1570.9999998045057833.90988433542526e-071.95494216771263e-07
1580.9999997904013874.19197226718107e-072.09598613359054e-07
1590.9999997730926674.53814665961253e-072.26907332980627e-07
1600.9999997539374084.92125184470065e-072.46062592235032e-07
1610.99999972790735.44185398754652e-072.72092699377326e-07
1620.99999970296265.94074801284124e-072.97037400642062e-07
1630.999999672052066.55895881721678e-073.27947940860839e-07
1640.999999647124317.05751380364164e-073.52875690182082e-07
1650.999999617933547.64132920171624e-073.82066460085812e-07
1660.999999567458118.65083781801605e-074.32541890900803e-07
1670.999999530199289.39601440241427e-074.69800720120714e-07
1680.999999496944041.00611191913008e-065.03055959565039e-07
1690.9999995181923949.63615213065183e-074.81807606532591e-07
1700.9999995361780269.27643948864773e-074.63821974432387e-07
1710.9999995363390089.27321984176663e-074.63660992088331e-07
1720.9999995295835779.40832846076038e-074.70416423038019e-07
1730.999999519904719.60190579614715e-074.80095289807357e-07
1740.999999507870459.84259101801261e-074.92129550900631e-07
1750.999999450840111.09831978011624e-065.49159890058118e-07
1760.9999994012765131.1974469731359e-065.9872348656795e-07
1770.9999993309594381.33808112316551e-066.69040561582753e-07
1780.9999992358150441.52836991225374e-067.64184956126868e-07
1790.9999991293620671.7412758650372e-068.70637932518598e-07
1800.9999990192755951.96144880958253e-069.80724404791263e-07
1810.999998993430242.01313951860564e-061.00656975930282e-06
1820.9999989668383552.0663232906807e-061.03316164534035e-06
1830.9999988729957152.25400857046947e-061.12700428523473e-06
1840.9999987871305952.42573881060364e-061.21286940530182e-06
1850.9999986603869682.67922606318755e-061.33961303159378e-06
1860.9999985436960142.91260797201957e-061.45630398600979e-06
1870.9999984132454253.17350914957132e-061.58675457478566e-06
1880.999998359418463.28116308187098e-061.64058154093549e-06
1890.9999983922046023.21559079519994e-061.60779539759997e-06
1900.9999986194394762.76112104797354e-061.38056052398677e-06
1910.9999988451466862.30970662777182e-061.15485331388591e-06
1920.9999991312611341.73747773278788e-068.6873886639394e-07
1930.9999994943549971.01129000614497e-065.05645003072483e-07
1940.9999996530494676.93901066063775e-073.46950533031888e-07
1950.999999724265455.51469098885299e-072.75734549442649e-07
1960.9999997820528374.35894326521951e-072.17947163260975e-07
1970.9999998034843473.93031306693103e-071.96515653346552e-07
1980.9999997961192244.07761551840874e-072.03880775920437e-07
1990.9999997968114684.06377063049744e-072.03188531524872e-07
2000.9999998088104273.82379144923557e-071.91189572461779e-07
2010.999999806379343.87241321108863e-071.93620660554431e-07
2020.9999997963639144.07272171559903e-072.03636085779952e-07
2030.9999998124681763.75063647032294e-071.87531823516147e-07
2040.9999998335076833.32984634021051e-071.66492317010526e-07
2050.9999998658929572.68214085998175e-071.34107042999087e-07
2060.9999998929853382.14029323959034e-071.07014661979517e-07
2070.9999999173528181.65294364645374e-078.26471823226872e-08
2080.9999999397892041.20421591677964e-076.0210795838982e-08
2090.9999999535696719.28606575682406e-084.64303287841203e-08
2100.9999999698111316.03777369368722e-083.01888684684361e-08
2110.9999999792742034.14515934997488e-082.07257967498744e-08
2120.9999999866053222.6789355163883e-081.33946775819415e-08
2130.9999999918149591.63700827800446e-088.1850413900223e-09
2140.9999999944528571.10942863368254e-085.54714316841268e-09
2150.9999999969519276.09614592378876e-093.04807296189438e-09
2160.9999999986206262.7587475829071e-091.37937379145355e-09
2170.9999999993934211.21315803446963e-096.06579017234817e-10
2180.9999999997583264.83347914552319e-102.4167395727616e-10
2190.9999999999035931.92813807119726e-109.64069035598628e-11
2200.9999999999606687.86646745879028e-113.93323372939514e-11
2210.9999999999830853.38299917298966e-111.69149958649483e-11
2220.9999999999919321.61366623805193e-118.06833119025965e-12
2230.9999999999960247.95234401599592e-123.97617200799796e-12
2240.9999999999990741.85185482139514e-129.2592741069757e-13
2250.9999999999997385.23933181337062e-132.61966590668531e-13
2260.9999999999998652.69726487916817e-131.34863243958408e-13
2270.9999999999999461.0702817240696e-135.351408620348e-14
2280.9999999999999862.8460716913323e-141.42303584566615e-14
2290.9999999999999976.01575987931308e-153.00787993965654e-15
23011.39070513595561e-156.95352567977804e-16
23112.88191986777283e-161.44095993388642e-16
23216.81338024579003e-173.40669012289501e-17
23311.30570388385813e-176.52851941929066e-18
23412.49805299434161e-181.2490264971708e-18
23515.22404112150812e-192.61202056075406e-19
23611.90451167100417e-209.52255835502084e-21
23712.07426336649513e-211.03713168324757e-21
23813.93487973837893e-221.96743986918946e-22
23913.85040401419165e-231.92520200709583e-23
24012.11640250259427e-241.05820125129713e-24
24111.07031659209854e-255.35158296049272e-26
24211.05081009275048e-265.25405046375239e-27
24313.73842766452656e-271.86921383226328e-27
24415.99410146347582e-282.99705073173791e-28
24512.01530618717806e-281.00765309358903e-28
24619.72788272368434e-294.86394136184217e-29
24719.21288618884018e-294.60644309442009e-29
24811.00961580531047e-305.04807902655233e-31
24913.54541324443796e-311.77270662221898e-31
25013.39749397224544e-311.69874698612272e-31
25113.4636033305453e-311.73180166527265e-31
25217.91606104157957e-313.95803052078978e-31
25312.02659221136635e-301.01329610568317e-30
25418.7273076664058e-304.3636538332029e-30
25515.46056182828728e-292.73028091414364e-29
25612.96386949363074e-281.48193474681537e-28
25711.57855445235852e-277.89277226179258e-28
25811.04819172958237e-265.24095864791186e-27
25916.34947647461198e-263.17473823730599e-26
26012.84604249449834e-251.42302124724917e-25
26118.19520536265154e-254.09760268132577e-25
26212.49074276744832e-241.24537138372416e-24
26311.61767000204581e-238.08835001022907e-24
26419.42189299975154e-234.71094649987577e-23
26514.0366154876006e-222.0183077438003e-22
26611.71122828952221e-218.55614144761104e-22
26717.96576789730461e-213.98288394865231e-21
26813.19462571295297e-201.59731285647649e-20
26911.2462671788418e-196.23133589420899e-20
27012.94377867111078e-191.47188933555539e-19
27111.21143348059794e-186.0571674029897e-19
27212.97639652619114e-181.48819826309557e-18
27314.12168004565236e-182.06084002282618e-18
27419.76203439654685e-184.88101719827342e-18
27514.93284877363258e-172.46642438681629e-17
27612.13557846102591e-161.06778923051295e-16
27717.32648323104762e-163.66324161552381e-16
27812.00380220106189e-151.00190110053094e-15
2790.9999999999999983.17646425927085e-151.58823212963543e-15
2800.9999999999999911.76186394699207e-148.80931973496034e-15
2810.9999999999999647.22051694861164e-143.61025847430582e-14
2820.999999999999833.393637472864e-131.696818736432e-13
2830.9999999999985732.85372232584555e-121.42686116292278e-12
2840.9999999999887492.25027486567873e-111.12513743283936e-11
2850.9999999999222921.55414937369996e-107.77074686849981e-11
2860.9999999996248257.50349871438447e-103.75174935719224e-10
2870.9999999987259462.54810768098833e-091.27405384049417e-09
2880.999999993714441.25711188935795e-086.28555944678975e-09
2890.999999961453627.70927580699106e-083.85463790349553e-08
2900.9999997772413534.45517293939243e-072.22758646969622e-07
2910.999998849669412.30066117831621e-061.1503305891581e-06
2920.9999947991325481.04017349041095e-055.20086745205476e-06
2930.9999828966920843.42066158321131e-051.71033079160565e-05
2940.9999301812617570.0001396374764856086.9818738242804e-05
2950.9998572647375780.0002854705248448460.000142735262422423
2960.9993711521834020.001257695633196030.000628847816598016

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
16 & 0.00089244562338863 & 0.00178489124677726 & 0.999107554376611 \tabularnewline
17 & 0.000207136231542769 & 0.000414272463085538 & 0.999792863768457 \tabularnewline
18 & 6.08799466144726e-05 & 0.000121759893228945 & 0.999939120053385 \tabularnewline
19 & 1.43222153828468e-05 & 2.86444307656936e-05 & 0.999985677784617 \tabularnewline
20 & 2.49379556396242e-06 & 4.98759112792484e-06 & 0.999997506204436 \tabularnewline
21 & 3.16217439537071e-07 & 6.32434879074141e-07 & 0.99999968378256 \tabularnewline
22 & 3.4341008810937e-08 & 6.8682017621874e-08 & 0.999999965658991 \tabularnewline
23 & 3.86312987134778e-09 & 7.72625974269556e-09 & 0.99999999613687 \tabularnewline
24 & 4.69070841701748e-10 & 9.38141683403497e-10 & 0.99999999953093 \tabularnewline
25 & 4.45361510469845e-11 & 8.9072302093969e-11 & 0.999999999955464 \tabularnewline
26 & 5.82749061089313e-12 & 1.16549812217863e-11 & 0.999999999994173 \tabularnewline
27 & 5.55441591354079e-13 & 1.11088318270816e-12 & 0.999999999999445 \tabularnewline
28 & 5.23361382684898e-14 & 1.0467227653698e-13 & 0.999999999999948 \tabularnewline
29 & 6.73062679728383e-15 & 1.34612535945677e-14 & 0.999999999999993 \tabularnewline
30 & 1.05832328572738e-15 & 2.11664657145477e-15 & 0.999999999999999 \tabularnewline
31 & 1.55598203432782e-16 & 3.11196406865563e-16 & 1 \tabularnewline
32 & 2.91004268580587e-17 & 5.82008537161173e-17 & 1 \tabularnewline
33 & 7.30714017158195e-18 & 1.46142803431639e-17 & 1 \tabularnewline
34 & 1.35631554033292e-18 & 2.71263108066584e-18 & 1 \tabularnewline
35 & 1.53073946994151e-19 & 3.06147893988302e-19 & 1 \tabularnewline
36 & 1.88473228113069e-20 & 3.76946456226137e-20 & 1 \tabularnewline
37 & 5.37370977819631e-21 & 1.07474195563926e-20 & 1 \tabularnewline
38 & 1.17316576994611e-21 & 2.34633153989222e-21 & 1 \tabularnewline
39 & 7.82715430441178e-22 & 1.56543086088236e-21 & 1 \tabularnewline
40 & 1.10593856693978e-21 & 2.21187713387956e-21 & 1 \tabularnewline
41 & 5.78501250827691e-21 & 1.15700250165538e-20 & 1 \tabularnewline
42 & 1.56403727299304e-20 & 3.12807454598608e-20 & 1 \tabularnewline
43 & 4.15464908227534e-20 & 8.30929816455068e-20 & 1 \tabularnewline
44 & 2.99744473864676e-20 & 5.99488947729352e-20 & 1 \tabularnewline
45 & 2.12572400379794e-20 & 4.25144800759587e-20 & 1 \tabularnewline
46 & 2.12207757959458e-20 & 4.24415515918916e-20 & 1 \tabularnewline
47 & 1.53098074245542e-19 & 3.06196148491084e-19 & 1 \tabularnewline
48 & 4.64170365607535e-18 & 9.28340731215069e-18 & 1 \tabularnewline
49 & 9.0308466038797e-17 & 1.80616932077594e-16 & 1 \tabularnewline
50 & 1.34634654712758e-15 & 2.69269309425517e-15 & 0.999999999999999 \tabularnewline
51 & 2.18163218247209e-14 & 4.36326436494419e-14 & 0.999999999999978 \tabularnewline
52 & 4.25815628375632e-13 & 8.51631256751264e-13 & 0.999999999999574 \tabularnewline
53 & 3.67431085211302e-12 & 7.34862170422603e-12 & 0.999999999996326 \tabularnewline
54 & 2.87627644337351e-11 & 5.75255288674701e-11 & 0.999999999971237 \tabularnewline
55 & 1.43871271426083e-10 & 2.87742542852166e-10 & 0.999999999856129 \tabularnewline
56 & 2.81647007607146e-10 & 5.63294015214292e-10 & 0.999999999718353 \tabularnewline
57 & 7.84164767018773e-10 & 1.56832953403755e-09 & 0.999999999215835 \tabularnewline
58 & 2.23294099466728e-09 & 4.46588198933456e-09 & 0.99999999776706 \tabularnewline
59 & 6.38244196947042e-09 & 1.27648839389408e-08 & 0.999999993617558 \tabularnewline
60 & 2.8545916575185e-08 & 5.709183315037e-08 & 0.999999971454083 \tabularnewline
61 & 4.60680409799279e-08 & 9.21360819598558e-08 & 0.99999995393196 \tabularnewline
62 & 1.14289666571113e-07 & 2.28579333142226e-07 & 0.999999885710333 \tabularnewline
63 & 4.5714658458834e-07 & 9.1429316917668e-07 & 0.999999542853415 \tabularnewline
64 & 2.64213900353832e-06 & 5.28427800707665e-06 & 0.999997357860996 \tabularnewline
65 & 1.61569550681642e-05 & 3.23139101363284e-05 & 0.999983843044932 \tabularnewline
66 & 0.000129433468488717 & 0.000258866936977433 & 0.999870566531511 \tabularnewline
67 & 0.00085597988130805 & 0.0017119597626161 & 0.999144020118692 \tabularnewline
68 & 0.00399892501575116 & 0.00799785003150232 & 0.99600107498425 \tabularnewline
69 & 0.0136246465954096 & 0.0272492931908193 & 0.98637535340459 \tabularnewline
70 & 0.0368047128960827 & 0.0736094257921654 & 0.963195287103917 \tabularnewline
71 & 0.084254984043829 & 0.168509968087658 & 0.915745015956171 \tabularnewline
72 & 0.14827487452146 & 0.29654974904292 & 0.85172512547854 \tabularnewline
73 & 0.211381918914823 & 0.422763837829647 & 0.788618081085177 \tabularnewline
74 & 0.288144451180105 & 0.576288902360209 & 0.711855548819895 \tabularnewline
75 & 0.369640841175866 & 0.739281682351733 & 0.630359158824134 \tabularnewline
76 & 0.450921602725443 & 0.901843205450886 & 0.549078397274557 \tabularnewline
77 & 0.52496704743336 & 0.95006590513328 & 0.47503295256664 \tabularnewline
78 & 0.585238981346447 & 0.829522037307106 & 0.414761018653553 \tabularnewline
79 & 0.656989449544657 & 0.686021100910686 & 0.343010550455343 \tabularnewline
80 & 0.728604193040503 & 0.542791613918994 & 0.271395806959497 \tabularnewline
81 & 0.784753349719621 & 0.430493300560758 & 0.215246650280379 \tabularnewline
82 & 0.818166649534932 & 0.363666700930135 & 0.181833350465068 \tabularnewline
83 & 0.85282217638291 & 0.294355647234179 & 0.147177823617089 \tabularnewline
84 & 0.87447630398286 & 0.251047392034281 & 0.125523696017141 \tabularnewline
85 & 0.885481329863755 & 0.22903734027249 & 0.114518670136245 \tabularnewline
86 & 0.897375883564366 & 0.205248232871267 & 0.102624116435634 \tabularnewline
87 & 0.906761675538903 & 0.186476648922195 & 0.0932383244610973 \tabularnewline
88 & 0.914783712607633 & 0.170432574784733 & 0.0852162873923665 \tabularnewline
89 & 0.922409895906581 & 0.155180208186838 & 0.0775901040934188 \tabularnewline
90 & 0.927861720096832 & 0.144276559806336 & 0.0721382799031678 \tabularnewline
91 & 0.934573328407059 & 0.130853343185882 & 0.0654266715929411 \tabularnewline
92 & 0.943824456746791 & 0.112351086506417 & 0.0561755432532084 \tabularnewline
93 & 0.951917474167397 & 0.0961650516652068 & 0.0480825258326034 \tabularnewline
94 & 0.95860980998945 & 0.0827803800211008 & 0.0413901900105504 \tabularnewline
95 & 0.964855633956033 & 0.0702887320879349 & 0.0351443660439674 \tabularnewline
96 & 0.969795164987612 & 0.0604096700247759 & 0.030204835012388 \tabularnewline
97 & 0.971717810406843 & 0.0565643791863136 & 0.0282821895931568 \tabularnewline
98 & 0.973492400794484 & 0.053015198411032 & 0.026507599205516 \tabularnewline
99 & 0.97531251738504 & 0.0493749652299192 & 0.0246874826149596 \tabularnewline
100 & 0.977115907240978 & 0.0457681855180445 & 0.0228840927590222 \tabularnewline
101 & 0.979020777820198 & 0.0419584443596031 & 0.0209792221798015 \tabularnewline
102 & 0.980442162577982 & 0.0391156748440353 & 0.0195578374220176 \tabularnewline
103 & 0.98190263775977 & 0.036194724480462 & 0.018097362240231 \tabularnewline
104 & 0.984182779635086 & 0.0316344407298287 & 0.0158172203649144 \tabularnewline
105 & 0.98692159809206 & 0.0261568038158815 & 0.0130784019079408 \tabularnewline
106 & 0.989371229645535 & 0.0212575407089292 & 0.0106287703544646 \tabularnewline
107 & 0.9912441371159 & 0.0175117257681987 & 0.00875586288409935 \tabularnewline
108 & 0.992710497531337 & 0.014579004937326 & 0.00728950246866302 \tabularnewline
109 & 0.993391500526501 & 0.0132169989469975 & 0.00660849947349876 \tabularnewline
110 & 0.994044609835677 & 0.0119107803286454 & 0.0059553901643227 \tabularnewline
111 & 0.994335855686104 & 0.0113282886277928 & 0.00566414431389642 \tabularnewline
112 & 0.994961065266632 & 0.0100778694667363 & 0.00503893473336814 \tabularnewline
113 & 0.995509702875406 & 0.00898059424918784 & 0.00449029712459392 \tabularnewline
114 & 0.996001665983446 & 0.00799666803310764 & 0.00399833401655382 \tabularnewline
115 & 0.996605037054937 & 0.00678992589012661 & 0.00339496294506331 \tabularnewline
116 & 0.997150210854082 & 0.00569957829183522 & 0.00284978914591761 \tabularnewline
117 & 0.997854670818684 & 0.0042906583626316 & 0.0021453291813158 \tabularnewline
118 & 0.998390251230796 & 0.00321949753840829 & 0.00160974876920414 \tabularnewline
119 & 0.998752813587637 & 0.00249437282472567 & 0.00124718641236284 \tabularnewline
120 & 0.999038303116233 & 0.00192339376753412 & 0.000961696883767058 \tabularnewline
121 & 0.99919526357013 & 0.0016094728597411 & 0.00080473642987055 \tabularnewline
122 & 0.999354481229388 & 0.00129103754122388 & 0.000645518770611939 \tabularnewline
123 & 0.999490848061212 & 0.00101830387757621 & 0.000509151938788107 \tabularnewline
124 & 0.999609607087939 & 0.000780785824122902 & 0.000390392912061451 \tabularnewline
125 & 0.999702812554571 & 0.000594374890856969 & 0.000297187445428484 \tabularnewline
126 & 0.999770889678355 & 0.000458220643290172 & 0.000229110321645086 \tabularnewline
127 & 0.999825773795545 & 0.000348452408910895 & 0.000174226204455447 \tabularnewline
128 & 0.999883513579585 & 0.000232972840828924 & 0.000116486420414462 \tabularnewline
129 & 0.999924326263202 & 0.000151347473596531 & 7.56737367982656e-05 \tabularnewline
130 & 0.999947789007136 & 0.000104421985728161 & 5.22109928640805e-05 \tabularnewline
131 & 0.999960494799931 & 7.90104001376366e-05 & 3.95052000688183e-05 \tabularnewline
132 & 0.999969309311197 & 6.13813776059391e-05 & 3.06906888029695e-05 \tabularnewline
133 & 0.999974908833887 & 5.01823322251811e-05 & 2.50911661125906e-05 \tabularnewline
134 & 0.999978849858042 & 4.23002839150827e-05 & 2.11501419575414e-05 \tabularnewline
135 & 0.999982995402758 & 3.40091944845697e-05 & 1.70045972422849e-05 \tabularnewline
136 & 0.999986530145793 & 2.69397084134936e-05 & 1.34698542067468e-05 \tabularnewline
137 & 0.999989414004613 & 2.11719907731902e-05 & 1.05859953865951e-05 \tabularnewline
138 & 0.999991761053953 & 1.64778920940956e-05 & 8.2389460470478e-06 \tabularnewline
139 & 0.999993856171723 & 1.22876565535923e-05 & 6.14382827679613e-06 \tabularnewline
140 & 0.999995799716942 & 8.40056611610564e-06 & 4.20028305805282e-06 \tabularnewline
141 & 0.99999725539547 & 5.48920905857923e-06 & 2.74460452928962e-06 \tabularnewline
142 & 0.999997936069363 & 4.12786127304336e-06 & 2.06393063652168e-06 \tabularnewline
143 & 0.99999828606305 & 3.42787390166572e-06 & 1.71393695083286e-06 \tabularnewline
144 & 0.999998547628627 & 2.90474274589083e-06 & 1.45237137294542e-06 \tabularnewline
145 & 0.999998743457507 & 2.5130849868582e-06 & 1.2565424934291e-06 \tabularnewline
146 & 0.99999899012952 & 2.01974096002009e-06 & 1.00987048001004e-06 \tabularnewline
147 & 0.999999186413775 & 1.62717244988566e-06 & 8.13586224942828e-07 \tabularnewline
148 & 0.999999333914261 & 1.33217147754796e-06 & 6.66085738773978e-07 \tabularnewline
149 & 0.99999946151074 & 1.07697851945171e-06 & 5.38489259725853e-07 \tabularnewline
150 & 0.999999551742297 & 8.96515405311334e-07 & 4.48257702655667e-07 \tabularnewline
151 & 0.999999638708088 & 7.22583824082706e-07 & 3.61291912041353e-07 \tabularnewline
152 & 0.9999997333606 & 5.33278798643319e-07 & 2.6663939932166e-07 \tabularnewline
153 & 0.999999803375521 & 3.9324895781322e-07 & 1.9662447890661e-07 \tabularnewline
154 & 0.99999983410672 & 3.31786558725883e-07 & 1.65893279362941e-07 \tabularnewline
155 & 0.999999833318755 & 3.33362489995273e-07 & 1.66681244997637e-07 \tabularnewline
156 & 0.99999981904878 & 3.61902442078667e-07 & 1.80951221039334e-07 \tabularnewline
157 & 0.999999804505783 & 3.90988433542526e-07 & 1.95494216771263e-07 \tabularnewline
158 & 0.999999790401387 & 4.19197226718107e-07 & 2.09598613359054e-07 \tabularnewline
159 & 0.999999773092667 & 4.53814665961253e-07 & 2.26907332980627e-07 \tabularnewline
160 & 0.999999753937408 & 4.92125184470065e-07 & 2.46062592235032e-07 \tabularnewline
161 & 0.9999997279073 & 5.44185398754652e-07 & 2.72092699377326e-07 \tabularnewline
162 & 0.9999997029626 & 5.94074801284124e-07 & 2.97037400642062e-07 \tabularnewline
163 & 0.99999967205206 & 6.55895881721678e-07 & 3.27947940860839e-07 \tabularnewline
164 & 0.99999964712431 & 7.05751380364164e-07 & 3.52875690182082e-07 \tabularnewline
165 & 0.99999961793354 & 7.64132920171624e-07 & 3.82066460085812e-07 \tabularnewline
166 & 0.99999956745811 & 8.65083781801605e-07 & 4.32541890900803e-07 \tabularnewline
167 & 0.99999953019928 & 9.39601440241427e-07 & 4.69800720120714e-07 \tabularnewline
168 & 0.99999949694404 & 1.00611191913008e-06 & 5.03055959565039e-07 \tabularnewline
169 & 0.999999518192394 & 9.63615213065183e-07 & 4.81807606532591e-07 \tabularnewline
170 & 0.999999536178026 & 9.27643948864773e-07 & 4.63821974432387e-07 \tabularnewline
171 & 0.999999536339008 & 9.27321984176663e-07 & 4.63660992088331e-07 \tabularnewline
172 & 0.999999529583577 & 9.40832846076038e-07 & 4.70416423038019e-07 \tabularnewline
173 & 0.99999951990471 & 9.60190579614715e-07 & 4.80095289807357e-07 \tabularnewline
174 & 0.99999950787045 & 9.84259101801261e-07 & 4.92129550900631e-07 \tabularnewline
175 & 0.99999945084011 & 1.09831978011624e-06 & 5.49159890058118e-07 \tabularnewline
176 & 0.999999401276513 & 1.1974469731359e-06 & 5.9872348656795e-07 \tabularnewline
177 & 0.999999330959438 & 1.33808112316551e-06 & 6.69040561582753e-07 \tabularnewline
178 & 0.999999235815044 & 1.52836991225374e-06 & 7.64184956126868e-07 \tabularnewline
179 & 0.999999129362067 & 1.7412758650372e-06 & 8.70637932518598e-07 \tabularnewline
180 & 0.999999019275595 & 1.96144880958253e-06 & 9.80724404791263e-07 \tabularnewline
181 & 0.99999899343024 & 2.01313951860564e-06 & 1.00656975930282e-06 \tabularnewline
182 & 0.999998966838355 & 2.0663232906807e-06 & 1.03316164534035e-06 \tabularnewline
183 & 0.999998872995715 & 2.25400857046947e-06 & 1.12700428523473e-06 \tabularnewline
184 & 0.999998787130595 & 2.42573881060364e-06 & 1.21286940530182e-06 \tabularnewline
185 & 0.999998660386968 & 2.67922606318755e-06 & 1.33961303159378e-06 \tabularnewline
186 & 0.999998543696014 & 2.91260797201957e-06 & 1.45630398600979e-06 \tabularnewline
187 & 0.999998413245425 & 3.17350914957132e-06 & 1.58675457478566e-06 \tabularnewline
188 & 0.99999835941846 & 3.28116308187098e-06 & 1.64058154093549e-06 \tabularnewline
189 & 0.999998392204602 & 3.21559079519994e-06 & 1.60779539759997e-06 \tabularnewline
190 & 0.999998619439476 & 2.76112104797354e-06 & 1.38056052398677e-06 \tabularnewline
191 & 0.999998845146686 & 2.30970662777182e-06 & 1.15485331388591e-06 \tabularnewline
192 & 0.999999131261134 & 1.73747773278788e-06 & 8.6873886639394e-07 \tabularnewline
193 & 0.999999494354997 & 1.01129000614497e-06 & 5.05645003072483e-07 \tabularnewline
194 & 0.999999653049467 & 6.93901066063775e-07 & 3.46950533031888e-07 \tabularnewline
195 & 0.99999972426545 & 5.51469098885299e-07 & 2.75734549442649e-07 \tabularnewline
196 & 0.999999782052837 & 4.35894326521951e-07 & 2.17947163260975e-07 \tabularnewline
197 & 0.999999803484347 & 3.93031306693103e-07 & 1.96515653346552e-07 \tabularnewline
198 & 0.999999796119224 & 4.07761551840874e-07 & 2.03880775920437e-07 \tabularnewline
199 & 0.999999796811468 & 4.06377063049744e-07 & 2.03188531524872e-07 \tabularnewline
200 & 0.999999808810427 & 3.82379144923557e-07 & 1.91189572461779e-07 \tabularnewline
201 & 0.99999980637934 & 3.87241321108863e-07 & 1.93620660554431e-07 \tabularnewline
202 & 0.999999796363914 & 4.07272171559903e-07 & 2.03636085779952e-07 \tabularnewline
203 & 0.999999812468176 & 3.75063647032294e-07 & 1.87531823516147e-07 \tabularnewline
204 & 0.999999833507683 & 3.32984634021051e-07 & 1.66492317010526e-07 \tabularnewline
205 & 0.999999865892957 & 2.68214085998175e-07 & 1.34107042999087e-07 \tabularnewline
206 & 0.999999892985338 & 2.14029323959034e-07 & 1.07014661979517e-07 \tabularnewline
207 & 0.999999917352818 & 1.65294364645374e-07 & 8.26471823226872e-08 \tabularnewline
208 & 0.999999939789204 & 1.20421591677964e-07 & 6.0210795838982e-08 \tabularnewline
209 & 0.999999953569671 & 9.28606575682406e-08 & 4.64303287841203e-08 \tabularnewline
210 & 0.999999969811131 & 6.03777369368722e-08 & 3.01888684684361e-08 \tabularnewline
211 & 0.999999979274203 & 4.14515934997488e-08 & 2.07257967498744e-08 \tabularnewline
212 & 0.999999986605322 & 2.6789355163883e-08 & 1.33946775819415e-08 \tabularnewline
213 & 0.999999991814959 & 1.63700827800446e-08 & 8.1850413900223e-09 \tabularnewline
214 & 0.999999994452857 & 1.10942863368254e-08 & 5.54714316841268e-09 \tabularnewline
215 & 0.999999996951927 & 6.09614592378876e-09 & 3.04807296189438e-09 \tabularnewline
216 & 0.999999998620626 & 2.7587475829071e-09 & 1.37937379145355e-09 \tabularnewline
217 & 0.999999999393421 & 1.21315803446963e-09 & 6.06579017234817e-10 \tabularnewline
218 & 0.999999999758326 & 4.83347914552319e-10 & 2.4167395727616e-10 \tabularnewline
219 & 0.999999999903593 & 1.92813807119726e-10 & 9.64069035598628e-11 \tabularnewline
220 & 0.999999999960668 & 7.86646745879028e-11 & 3.93323372939514e-11 \tabularnewline
221 & 0.999999999983085 & 3.38299917298966e-11 & 1.69149958649483e-11 \tabularnewline
222 & 0.999999999991932 & 1.61366623805193e-11 & 8.06833119025965e-12 \tabularnewline
223 & 0.999999999996024 & 7.95234401599592e-12 & 3.97617200799796e-12 \tabularnewline
224 & 0.999999999999074 & 1.85185482139514e-12 & 9.2592741069757e-13 \tabularnewline
225 & 0.999999999999738 & 5.23933181337062e-13 & 2.61966590668531e-13 \tabularnewline
226 & 0.999999999999865 & 2.69726487916817e-13 & 1.34863243958408e-13 \tabularnewline
227 & 0.999999999999946 & 1.0702817240696e-13 & 5.351408620348e-14 \tabularnewline
228 & 0.999999999999986 & 2.8460716913323e-14 & 1.42303584566615e-14 \tabularnewline
229 & 0.999999999999997 & 6.01575987931308e-15 & 3.00787993965654e-15 \tabularnewline
230 & 1 & 1.39070513595561e-15 & 6.95352567977804e-16 \tabularnewline
231 & 1 & 2.88191986777283e-16 & 1.44095993388642e-16 \tabularnewline
232 & 1 & 6.81338024579003e-17 & 3.40669012289501e-17 \tabularnewline
233 & 1 & 1.30570388385813e-17 & 6.52851941929066e-18 \tabularnewline
234 & 1 & 2.49805299434161e-18 & 1.2490264971708e-18 \tabularnewline
235 & 1 & 5.22404112150812e-19 & 2.61202056075406e-19 \tabularnewline
236 & 1 & 1.90451167100417e-20 & 9.52255835502084e-21 \tabularnewline
237 & 1 & 2.07426336649513e-21 & 1.03713168324757e-21 \tabularnewline
238 & 1 & 3.93487973837893e-22 & 1.96743986918946e-22 \tabularnewline
239 & 1 & 3.85040401419165e-23 & 1.92520200709583e-23 \tabularnewline
240 & 1 & 2.11640250259427e-24 & 1.05820125129713e-24 \tabularnewline
241 & 1 & 1.07031659209854e-25 & 5.35158296049272e-26 \tabularnewline
242 & 1 & 1.05081009275048e-26 & 5.25405046375239e-27 \tabularnewline
243 & 1 & 3.73842766452656e-27 & 1.86921383226328e-27 \tabularnewline
244 & 1 & 5.99410146347582e-28 & 2.99705073173791e-28 \tabularnewline
245 & 1 & 2.01530618717806e-28 & 1.00765309358903e-28 \tabularnewline
246 & 1 & 9.72788272368434e-29 & 4.86394136184217e-29 \tabularnewline
247 & 1 & 9.21288618884018e-29 & 4.60644309442009e-29 \tabularnewline
248 & 1 & 1.00961580531047e-30 & 5.04807902655233e-31 \tabularnewline
249 & 1 & 3.54541324443796e-31 & 1.77270662221898e-31 \tabularnewline
250 & 1 & 3.39749397224544e-31 & 1.69874698612272e-31 \tabularnewline
251 & 1 & 3.4636033305453e-31 & 1.73180166527265e-31 \tabularnewline
252 & 1 & 7.91606104157957e-31 & 3.95803052078978e-31 \tabularnewline
253 & 1 & 2.02659221136635e-30 & 1.01329610568317e-30 \tabularnewline
254 & 1 & 8.7273076664058e-30 & 4.3636538332029e-30 \tabularnewline
255 & 1 & 5.46056182828728e-29 & 2.73028091414364e-29 \tabularnewline
256 & 1 & 2.96386949363074e-28 & 1.48193474681537e-28 \tabularnewline
257 & 1 & 1.57855445235852e-27 & 7.89277226179258e-28 \tabularnewline
258 & 1 & 1.04819172958237e-26 & 5.24095864791186e-27 \tabularnewline
259 & 1 & 6.34947647461198e-26 & 3.17473823730599e-26 \tabularnewline
260 & 1 & 2.84604249449834e-25 & 1.42302124724917e-25 \tabularnewline
261 & 1 & 8.19520536265154e-25 & 4.09760268132577e-25 \tabularnewline
262 & 1 & 2.49074276744832e-24 & 1.24537138372416e-24 \tabularnewline
263 & 1 & 1.61767000204581e-23 & 8.08835001022907e-24 \tabularnewline
264 & 1 & 9.42189299975154e-23 & 4.71094649987577e-23 \tabularnewline
265 & 1 & 4.0366154876006e-22 & 2.0183077438003e-22 \tabularnewline
266 & 1 & 1.71122828952221e-21 & 8.55614144761104e-22 \tabularnewline
267 & 1 & 7.96576789730461e-21 & 3.98288394865231e-21 \tabularnewline
268 & 1 & 3.19462571295297e-20 & 1.59731285647649e-20 \tabularnewline
269 & 1 & 1.2462671788418e-19 & 6.23133589420899e-20 \tabularnewline
270 & 1 & 2.94377867111078e-19 & 1.47188933555539e-19 \tabularnewline
271 & 1 & 1.21143348059794e-18 & 6.0571674029897e-19 \tabularnewline
272 & 1 & 2.97639652619114e-18 & 1.48819826309557e-18 \tabularnewline
273 & 1 & 4.12168004565236e-18 & 2.06084002282618e-18 \tabularnewline
274 & 1 & 9.76203439654685e-18 & 4.88101719827342e-18 \tabularnewline
275 & 1 & 4.93284877363258e-17 & 2.46642438681629e-17 \tabularnewline
276 & 1 & 2.13557846102591e-16 & 1.06778923051295e-16 \tabularnewline
277 & 1 & 7.32648323104762e-16 & 3.66324161552381e-16 \tabularnewline
278 & 1 & 2.00380220106189e-15 & 1.00190110053094e-15 \tabularnewline
279 & 0.999999999999998 & 3.17646425927085e-15 & 1.58823212963543e-15 \tabularnewline
280 & 0.999999999999991 & 1.76186394699207e-14 & 8.80931973496034e-15 \tabularnewline
281 & 0.999999999999964 & 7.22051694861164e-14 & 3.61025847430582e-14 \tabularnewline
282 & 0.99999999999983 & 3.393637472864e-13 & 1.696818736432e-13 \tabularnewline
283 & 0.999999999998573 & 2.85372232584555e-12 & 1.42686116292278e-12 \tabularnewline
284 & 0.999999999988749 & 2.25027486567873e-11 & 1.12513743283936e-11 \tabularnewline
285 & 0.999999999922292 & 1.55414937369996e-10 & 7.77074686849981e-11 \tabularnewline
286 & 0.999999999624825 & 7.50349871438447e-10 & 3.75174935719224e-10 \tabularnewline
287 & 0.999999998725946 & 2.54810768098833e-09 & 1.27405384049417e-09 \tabularnewline
288 & 0.99999999371444 & 1.25711188935795e-08 & 6.28555944678975e-09 \tabularnewline
289 & 0.99999996145362 & 7.70927580699106e-08 & 3.85463790349553e-08 \tabularnewline
290 & 0.999999777241353 & 4.45517293939243e-07 & 2.22758646969622e-07 \tabularnewline
291 & 0.99999884966941 & 2.30066117831621e-06 & 1.1503305891581e-06 \tabularnewline
292 & 0.999994799132548 & 1.04017349041095e-05 & 5.20086745205476e-06 \tabularnewline
293 & 0.999982896692084 & 3.42066158321131e-05 & 1.71033079160565e-05 \tabularnewline
294 & 0.999930181261757 & 0.000139637476485608 & 6.9818738242804e-05 \tabularnewline
295 & 0.999857264737578 & 0.000285470524844846 & 0.000142735262422423 \tabularnewline
296 & 0.999371152183402 & 0.00125769563319603 & 0.000628847816598016 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148163&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]0.00089244562338863[/C][C]0.00178489124677726[/C][C]0.999107554376611[/C][/ROW]
[ROW][C]17[/C][C]0.000207136231542769[/C][C]0.000414272463085538[/C][C]0.999792863768457[/C][/ROW]
[ROW][C]18[/C][C]6.08799466144726e-05[/C][C]0.000121759893228945[/C][C]0.999939120053385[/C][/ROW]
[ROW][C]19[/C][C]1.43222153828468e-05[/C][C]2.86444307656936e-05[/C][C]0.999985677784617[/C][/ROW]
[ROW][C]20[/C][C]2.49379556396242e-06[/C][C]4.98759112792484e-06[/C][C]0.999997506204436[/C][/ROW]
[ROW][C]21[/C][C]3.16217439537071e-07[/C][C]6.32434879074141e-07[/C][C]0.99999968378256[/C][/ROW]
[ROW][C]22[/C][C]3.4341008810937e-08[/C][C]6.8682017621874e-08[/C][C]0.999999965658991[/C][/ROW]
[ROW][C]23[/C][C]3.86312987134778e-09[/C][C]7.72625974269556e-09[/C][C]0.99999999613687[/C][/ROW]
[ROW][C]24[/C][C]4.69070841701748e-10[/C][C]9.38141683403497e-10[/C][C]0.99999999953093[/C][/ROW]
[ROW][C]25[/C][C]4.45361510469845e-11[/C][C]8.9072302093969e-11[/C][C]0.999999999955464[/C][/ROW]
[ROW][C]26[/C][C]5.82749061089313e-12[/C][C]1.16549812217863e-11[/C][C]0.999999999994173[/C][/ROW]
[ROW][C]27[/C][C]5.55441591354079e-13[/C][C]1.11088318270816e-12[/C][C]0.999999999999445[/C][/ROW]
[ROW][C]28[/C][C]5.23361382684898e-14[/C][C]1.0467227653698e-13[/C][C]0.999999999999948[/C][/ROW]
[ROW][C]29[/C][C]6.73062679728383e-15[/C][C]1.34612535945677e-14[/C][C]0.999999999999993[/C][/ROW]
[ROW][C]30[/C][C]1.05832328572738e-15[/C][C]2.11664657145477e-15[/C][C]0.999999999999999[/C][/ROW]
[ROW][C]31[/C][C]1.55598203432782e-16[/C][C]3.11196406865563e-16[/C][C]1[/C][/ROW]
[ROW][C]32[/C][C]2.91004268580587e-17[/C][C]5.82008537161173e-17[/C][C]1[/C][/ROW]
[ROW][C]33[/C][C]7.30714017158195e-18[/C][C]1.46142803431639e-17[/C][C]1[/C][/ROW]
[ROW][C]34[/C][C]1.35631554033292e-18[/C][C]2.71263108066584e-18[/C][C]1[/C][/ROW]
[ROW][C]35[/C][C]1.53073946994151e-19[/C][C]3.06147893988302e-19[/C][C]1[/C][/ROW]
[ROW][C]36[/C][C]1.88473228113069e-20[/C][C]3.76946456226137e-20[/C][C]1[/C][/ROW]
[ROW][C]37[/C][C]5.37370977819631e-21[/C][C]1.07474195563926e-20[/C][C]1[/C][/ROW]
[ROW][C]38[/C][C]1.17316576994611e-21[/C][C]2.34633153989222e-21[/C][C]1[/C][/ROW]
[ROW][C]39[/C][C]7.82715430441178e-22[/C][C]1.56543086088236e-21[/C][C]1[/C][/ROW]
[ROW][C]40[/C][C]1.10593856693978e-21[/C][C]2.21187713387956e-21[/C][C]1[/C][/ROW]
[ROW][C]41[/C][C]5.78501250827691e-21[/C][C]1.15700250165538e-20[/C][C]1[/C][/ROW]
[ROW][C]42[/C][C]1.56403727299304e-20[/C][C]3.12807454598608e-20[/C][C]1[/C][/ROW]
[ROW][C]43[/C][C]4.15464908227534e-20[/C][C]8.30929816455068e-20[/C][C]1[/C][/ROW]
[ROW][C]44[/C][C]2.99744473864676e-20[/C][C]5.99488947729352e-20[/C][C]1[/C][/ROW]
[ROW][C]45[/C][C]2.12572400379794e-20[/C][C]4.25144800759587e-20[/C][C]1[/C][/ROW]
[ROW][C]46[/C][C]2.12207757959458e-20[/C][C]4.24415515918916e-20[/C][C]1[/C][/ROW]
[ROW][C]47[/C][C]1.53098074245542e-19[/C][C]3.06196148491084e-19[/C][C]1[/C][/ROW]
[ROW][C]48[/C][C]4.64170365607535e-18[/C][C]9.28340731215069e-18[/C][C]1[/C][/ROW]
[ROW][C]49[/C][C]9.0308466038797e-17[/C][C]1.80616932077594e-16[/C][C]1[/C][/ROW]
[ROW][C]50[/C][C]1.34634654712758e-15[/C][C]2.69269309425517e-15[/C][C]0.999999999999999[/C][/ROW]
[ROW][C]51[/C][C]2.18163218247209e-14[/C][C]4.36326436494419e-14[/C][C]0.999999999999978[/C][/ROW]
[ROW][C]52[/C][C]4.25815628375632e-13[/C][C]8.51631256751264e-13[/C][C]0.999999999999574[/C][/ROW]
[ROW][C]53[/C][C]3.67431085211302e-12[/C][C]7.34862170422603e-12[/C][C]0.999999999996326[/C][/ROW]
[ROW][C]54[/C][C]2.87627644337351e-11[/C][C]5.75255288674701e-11[/C][C]0.999999999971237[/C][/ROW]
[ROW][C]55[/C][C]1.43871271426083e-10[/C][C]2.87742542852166e-10[/C][C]0.999999999856129[/C][/ROW]
[ROW][C]56[/C][C]2.81647007607146e-10[/C][C]5.63294015214292e-10[/C][C]0.999999999718353[/C][/ROW]
[ROW][C]57[/C][C]7.84164767018773e-10[/C][C]1.56832953403755e-09[/C][C]0.999999999215835[/C][/ROW]
[ROW][C]58[/C][C]2.23294099466728e-09[/C][C]4.46588198933456e-09[/C][C]0.99999999776706[/C][/ROW]
[ROW][C]59[/C][C]6.38244196947042e-09[/C][C]1.27648839389408e-08[/C][C]0.999999993617558[/C][/ROW]
[ROW][C]60[/C][C]2.8545916575185e-08[/C][C]5.709183315037e-08[/C][C]0.999999971454083[/C][/ROW]
[ROW][C]61[/C][C]4.60680409799279e-08[/C][C]9.21360819598558e-08[/C][C]0.99999995393196[/C][/ROW]
[ROW][C]62[/C][C]1.14289666571113e-07[/C][C]2.28579333142226e-07[/C][C]0.999999885710333[/C][/ROW]
[ROW][C]63[/C][C]4.5714658458834e-07[/C][C]9.1429316917668e-07[/C][C]0.999999542853415[/C][/ROW]
[ROW][C]64[/C][C]2.64213900353832e-06[/C][C]5.28427800707665e-06[/C][C]0.999997357860996[/C][/ROW]
[ROW][C]65[/C][C]1.61569550681642e-05[/C][C]3.23139101363284e-05[/C][C]0.999983843044932[/C][/ROW]
[ROW][C]66[/C][C]0.000129433468488717[/C][C]0.000258866936977433[/C][C]0.999870566531511[/C][/ROW]
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[ROW][C]135[/C][C]0.999982995402758[/C][C]3.40091944845697e-05[/C][C]1.70045972422849e-05[/C][/ROW]
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[ROW][C]166[/C][C]0.99999956745811[/C][C]8.65083781801605e-07[/C][C]4.32541890900803e-07[/C][/ROW]
[ROW][C]167[/C][C]0.99999953019928[/C][C]9.39601440241427e-07[/C][C]4.69800720120714e-07[/C][/ROW]
[ROW][C]168[/C][C]0.99999949694404[/C][C]1.00611191913008e-06[/C][C]5.03055959565039e-07[/C][/ROW]
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[ROW][C]197[/C][C]0.999999803484347[/C][C]3.93031306693103e-07[/C][C]1.96515653346552e-07[/C][/ROW]
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[ROW][C]203[/C][C]0.999999812468176[/C][C]3.75063647032294e-07[/C][C]1.87531823516147e-07[/C][/ROW]
[ROW][C]204[/C][C]0.999999833507683[/C][C]3.32984634021051e-07[/C][C]1.66492317010526e-07[/C][/ROW]
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[ROW][C]206[/C][C]0.999999892985338[/C][C]2.14029323959034e-07[/C][C]1.07014661979517e-07[/C][/ROW]
[ROW][C]207[/C][C]0.999999917352818[/C][C]1.65294364645374e-07[/C][C]8.26471823226872e-08[/C][/ROW]
[ROW][C]208[/C][C]0.999999939789204[/C][C]1.20421591677964e-07[/C][C]6.0210795838982e-08[/C][/ROW]
[ROW][C]209[/C][C]0.999999953569671[/C][C]9.28606575682406e-08[/C][C]4.64303287841203e-08[/C][/ROW]
[ROW][C]210[/C][C]0.999999969811131[/C][C]6.03777369368722e-08[/C][C]3.01888684684361e-08[/C][/ROW]
[ROW][C]211[/C][C]0.999999979274203[/C][C]4.14515934997488e-08[/C][C]2.07257967498744e-08[/C][/ROW]
[ROW][C]212[/C][C]0.999999986605322[/C][C]2.6789355163883e-08[/C][C]1.33946775819415e-08[/C][/ROW]
[ROW][C]213[/C][C]0.999999991814959[/C][C]1.63700827800446e-08[/C][C]8.1850413900223e-09[/C][/ROW]
[ROW][C]214[/C][C]0.999999994452857[/C][C]1.10942863368254e-08[/C][C]5.54714316841268e-09[/C][/ROW]
[ROW][C]215[/C][C]0.999999996951927[/C][C]6.09614592378876e-09[/C][C]3.04807296189438e-09[/C][/ROW]
[ROW][C]216[/C][C]0.999999998620626[/C][C]2.7587475829071e-09[/C][C]1.37937379145355e-09[/C][/ROW]
[ROW][C]217[/C][C]0.999999999393421[/C][C]1.21315803446963e-09[/C][C]6.06579017234817e-10[/C][/ROW]
[ROW][C]218[/C][C]0.999999999758326[/C][C]4.83347914552319e-10[/C][C]2.4167395727616e-10[/C][/ROW]
[ROW][C]219[/C][C]0.999999999903593[/C][C]1.92813807119726e-10[/C][C]9.64069035598628e-11[/C][/ROW]
[ROW][C]220[/C][C]0.999999999960668[/C][C]7.86646745879028e-11[/C][C]3.93323372939514e-11[/C][/ROW]
[ROW][C]221[/C][C]0.999999999983085[/C][C]3.38299917298966e-11[/C][C]1.69149958649483e-11[/C][/ROW]
[ROW][C]222[/C][C]0.999999999991932[/C][C]1.61366623805193e-11[/C][C]8.06833119025965e-12[/C][/ROW]
[ROW][C]223[/C][C]0.999999999996024[/C][C]7.95234401599592e-12[/C][C]3.97617200799796e-12[/C][/ROW]
[ROW][C]224[/C][C]0.999999999999074[/C][C]1.85185482139514e-12[/C][C]9.2592741069757e-13[/C][/ROW]
[ROW][C]225[/C][C]0.999999999999738[/C][C]5.23933181337062e-13[/C][C]2.61966590668531e-13[/C][/ROW]
[ROW][C]226[/C][C]0.999999999999865[/C][C]2.69726487916817e-13[/C][C]1.34863243958408e-13[/C][/ROW]
[ROW][C]227[/C][C]0.999999999999946[/C][C]1.0702817240696e-13[/C][C]5.351408620348e-14[/C][/ROW]
[ROW][C]228[/C][C]0.999999999999986[/C][C]2.8460716913323e-14[/C][C]1.42303584566615e-14[/C][/ROW]
[ROW][C]229[/C][C]0.999999999999997[/C][C]6.01575987931308e-15[/C][C]3.00787993965654e-15[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]1.39070513595561e-15[/C][C]6.95352567977804e-16[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]2.88191986777283e-16[/C][C]1.44095993388642e-16[/C][/ROW]
[ROW][C]232[/C][C]1[/C][C]6.81338024579003e-17[/C][C]3.40669012289501e-17[/C][/ROW]
[ROW][C]233[/C][C]1[/C][C]1.30570388385813e-17[/C][C]6.52851941929066e-18[/C][/ROW]
[ROW][C]234[/C][C]1[/C][C]2.49805299434161e-18[/C][C]1.2490264971708e-18[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]5.22404112150812e-19[/C][C]2.61202056075406e-19[/C][/ROW]
[ROW][C]236[/C][C]1[/C][C]1.90451167100417e-20[/C][C]9.52255835502084e-21[/C][/ROW]
[ROW][C]237[/C][C]1[/C][C]2.07426336649513e-21[/C][C]1.03713168324757e-21[/C][/ROW]
[ROW][C]238[/C][C]1[/C][C]3.93487973837893e-22[/C][C]1.96743986918946e-22[/C][/ROW]
[ROW][C]239[/C][C]1[/C][C]3.85040401419165e-23[/C][C]1.92520200709583e-23[/C][/ROW]
[ROW][C]240[/C][C]1[/C][C]2.11640250259427e-24[/C][C]1.05820125129713e-24[/C][/ROW]
[ROW][C]241[/C][C]1[/C][C]1.07031659209854e-25[/C][C]5.35158296049272e-26[/C][/ROW]
[ROW][C]242[/C][C]1[/C][C]1.05081009275048e-26[/C][C]5.25405046375239e-27[/C][/ROW]
[ROW][C]243[/C][C]1[/C][C]3.73842766452656e-27[/C][C]1.86921383226328e-27[/C][/ROW]
[ROW][C]244[/C][C]1[/C][C]5.99410146347582e-28[/C][C]2.99705073173791e-28[/C][/ROW]
[ROW][C]245[/C][C]1[/C][C]2.01530618717806e-28[/C][C]1.00765309358903e-28[/C][/ROW]
[ROW][C]246[/C][C]1[/C][C]9.72788272368434e-29[/C][C]4.86394136184217e-29[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]9.21288618884018e-29[/C][C]4.60644309442009e-29[/C][/ROW]
[ROW][C]248[/C][C]1[/C][C]1.00961580531047e-30[/C][C]5.04807902655233e-31[/C][/ROW]
[ROW][C]249[/C][C]1[/C][C]3.54541324443796e-31[/C][C]1.77270662221898e-31[/C][/ROW]
[ROW][C]250[/C][C]1[/C][C]3.39749397224544e-31[/C][C]1.69874698612272e-31[/C][/ROW]
[ROW][C]251[/C][C]1[/C][C]3.4636033305453e-31[/C][C]1.73180166527265e-31[/C][/ROW]
[ROW][C]252[/C][C]1[/C][C]7.91606104157957e-31[/C][C]3.95803052078978e-31[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]2.02659221136635e-30[/C][C]1.01329610568317e-30[/C][/ROW]
[ROW][C]254[/C][C]1[/C][C]8.7273076664058e-30[/C][C]4.3636538332029e-30[/C][/ROW]
[ROW][C]255[/C][C]1[/C][C]5.46056182828728e-29[/C][C]2.73028091414364e-29[/C][/ROW]
[ROW][C]256[/C][C]1[/C][C]2.96386949363074e-28[/C][C]1.48193474681537e-28[/C][/ROW]
[ROW][C]257[/C][C]1[/C][C]1.57855445235852e-27[/C][C]7.89277226179258e-28[/C][/ROW]
[ROW][C]258[/C][C]1[/C][C]1.04819172958237e-26[/C][C]5.24095864791186e-27[/C][/ROW]
[ROW][C]259[/C][C]1[/C][C]6.34947647461198e-26[/C][C]3.17473823730599e-26[/C][/ROW]
[ROW][C]260[/C][C]1[/C][C]2.84604249449834e-25[/C][C]1.42302124724917e-25[/C][/ROW]
[ROW][C]261[/C][C]1[/C][C]8.19520536265154e-25[/C][C]4.09760268132577e-25[/C][/ROW]
[ROW][C]262[/C][C]1[/C][C]2.49074276744832e-24[/C][C]1.24537138372416e-24[/C][/ROW]
[ROW][C]263[/C][C]1[/C][C]1.61767000204581e-23[/C][C]8.08835001022907e-24[/C][/ROW]
[ROW][C]264[/C][C]1[/C][C]9.42189299975154e-23[/C][C]4.71094649987577e-23[/C][/ROW]
[ROW][C]265[/C][C]1[/C][C]4.0366154876006e-22[/C][C]2.0183077438003e-22[/C][/ROW]
[ROW][C]266[/C][C]1[/C][C]1.71122828952221e-21[/C][C]8.55614144761104e-22[/C][/ROW]
[ROW][C]267[/C][C]1[/C][C]7.96576789730461e-21[/C][C]3.98288394865231e-21[/C][/ROW]
[ROW][C]268[/C][C]1[/C][C]3.19462571295297e-20[/C][C]1.59731285647649e-20[/C][/ROW]
[ROW][C]269[/C][C]1[/C][C]1.2462671788418e-19[/C][C]6.23133589420899e-20[/C][/ROW]
[ROW][C]270[/C][C]1[/C][C]2.94377867111078e-19[/C][C]1.47188933555539e-19[/C][/ROW]
[ROW][C]271[/C][C]1[/C][C]1.21143348059794e-18[/C][C]6.0571674029897e-19[/C][/ROW]
[ROW][C]272[/C][C]1[/C][C]2.97639652619114e-18[/C][C]1.48819826309557e-18[/C][/ROW]
[ROW][C]273[/C][C]1[/C][C]4.12168004565236e-18[/C][C]2.06084002282618e-18[/C][/ROW]
[ROW][C]274[/C][C]1[/C][C]9.76203439654685e-18[/C][C]4.88101719827342e-18[/C][/ROW]
[ROW][C]275[/C][C]1[/C][C]4.93284877363258e-17[/C][C]2.46642438681629e-17[/C][/ROW]
[ROW][C]276[/C][C]1[/C][C]2.13557846102591e-16[/C][C]1.06778923051295e-16[/C][/ROW]
[ROW][C]277[/C][C]1[/C][C]7.32648323104762e-16[/C][C]3.66324161552381e-16[/C][/ROW]
[ROW][C]278[/C][C]1[/C][C]2.00380220106189e-15[/C][C]1.00190110053094e-15[/C][/ROW]
[ROW][C]279[/C][C]0.999999999999998[/C][C]3.17646425927085e-15[/C][C]1.58823212963543e-15[/C][/ROW]
[ROW][C]280[/C][C]0.999999999999991[/C][C]1.76186394699207e-14[/C][C]8.80931973496034e-15[/C][/ROW]
[ROW][C]281[/C][C]0.999999999999964[/C][C]7.22051694861164e-14[/C][C]3.61025847430582e-14[/C][/ROW]
[ROW][C]282[/C][C]0.99999999999983[/C][C]3.393637472864e-13[/C][C]1.696818736432e-13[/C][/ROW]
[ROW][C]283[/C][C]0.999999999998573[/C][C]2.85372232584555e-12[/C][C]1.42686116292278e-12[/C][/ROW]
[ROW][C]284[/C][C]0.999999999988749[/C][C]2.25027486567873e-11[/C][C]1.12513743283936e-11[/C][/ROW]
[ROW][C]285[/C][C]0.999999999922292[/C][C]1.55414937369996e-10[/C][C]7.77074686849981e-11[/C][/ROW]
[ROW][C]286[/C][C]0.999999999624825[/C][C]7.50349871438447e-10[/C][C]3.75174935719224e-10[/C][/ROW]
[ROW][C]287[/C][C]0.999999998725946[/C][C]2.54810768098833e-09[/C][C]1.27405384049417e-09[/C][/ROW]
[ROW][C]288[/C][C]0.99999999371444[/C][C]1.25711188935795e-08[/C][C]6.28555944678975e-09[/C][/ROW]
[ROW][C]289[/C][C]0.99999996145362[/C][C]7.70927580699106e-08[/C][C]3.85463790349553e-08[/C][/ROW]
[ROW][C]290[/C][C]0.999999777241353[/C][C]4.45517293939243e-07[/C][C]2.22758646969622e-07[/C][/ROW]
[ROW][C]291[/C][C]0.99999884966941[/C][C]2.30066117831621e-06[/C][C]1.1503305891581e-06[/C][/ROW]
[ROW][C]292[/C][C]0.999994799132548[/C][C]1.04017349041095e-05[/C][C]5.20086745205476e-06[/C][/ROW]
[ROW][C]293[/C][C]0.999982896692084[/C][C]3.42066158321131e-05[/C][C]1.71033079160565e-05[/C][/ROW]
[ROW][C]294[/C][C]0.999930181261757[/C][C]0.000139637476485608[/C][C]6.9818738242804e-05[/C][/ROW]
[ROW][C]295[/C][C]0.999857264737578[/C][C]0.000285470524844846[/C][C]0.000142735262422423[/C][/ROW]
[ROW][C]296[/C][C]0.999371152183402[/C][C]0.00125769563319603[/C][C]0.000628847816598016[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148163&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148163&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
160.000892445623388630.001784891246777260.999107554376611
170.0002071362315427690.0004142724630855380.999792863768457
186.08799466144726e-050.0001217598932289450.999939120053385
191.43222153828468e-052.86444307656936e-050.999985677784617
202.49379556396242e-064.98759112792484e-060.999997506204436
213.16217439537071e-076.32434879074141e-070.99999968378256
223.4341008810937e-086.8682017621874e-080.999999965658991
233.86312987134778e-097.72625974269556e-090.99999999613687
244.69070841701748e-109.38141683403497e-100.99999999953093
254.45361510469845e-118.9072302093969e-110.999999999955464
265.82749061089313e-121.16549812217863e-110.999999999994173
275.55441591354079e-131.11088318270816e-120.999999999999445
285.23361382684898e-141.0467227653698e-130.999999999999948
296.73062679728383e-151.34612535945677e-140.999999999999993
301.05832328572738e-152.11664657145477e-150.999999999999999
311.55598203432782e-163.11196406865563e-161
322.91004268580587e-175.82008537161173e-171
337.30714017158195e-181.46142803431639e-171
341.35631554033292e-182.71263108066584e-181
351.53073946994151e-193.06147893988302e-191
361.88473228113069e-203.76946456226137e-201
375.37370977819631e-211.07474195563926e-201
381.17316576994611e-212.34633153989222e-211
397.82715430441178e-221.56543086088236e-211
401.10593856693978e-212.21187713387956e-211
415.78501250827691e-211.15700250165538e-201
421.56403727299304e-203.12807454598608e-201
434.15464908227534e-208.30929816455068e-201
442.99744473864676e-205.99488947729352e-201
452.12572400379794e-204.25144800759587e-201
462.12207757959458e-204.24415515918916e-201
471.53098074245542e-193.06196148491084e-191
484.64170365607535e-189.28340731215069e-181
499.0308466038797e-171.80616932077594e-161
501.34634654712758e-152.69269309425517e-150.999999999999999
512.18163218247209e-144.36326436494419e-140.999999999999978
524.25815628375632e-138.51631256751264e-130.999999999999574
533.67431085211302e-127.34862170422603e-120.999999999996326
542.87627644337351e-115.75255288674701e-110.999999999971237
551.43871271426083e-102.87742542852166e-100.999999999856129
562.81647007607146e-105.63294015214292e-100.999999999718353
577.84164767018773e-101.56832953403755e-090.999999999215835
582.23294099466728e-094.46588198933456e-090.99999999776706
596.38244196947042e-091.27648839389408e-080.999999993617558
602.8545916575185e-085.709183315037e-080.999999971454083
614.60680409799279e-089.21360819598558e-080.99999995393196
621.14289666571113e-072.28579333142226e-070.999999885710333
634.5714658458834e-079.1429316917668e-070.999999542853415
642.64213900353832e-065.28427800707665e-060.999997357860996
651.61569550681642e-053.23139101363284e-050.999983843044932
660.0001294334684887170.0002588669369774330.999870566531511
670.000855979881308050.00171195976261610.999144020118692
680.003998925015751160.007997850031502320.99600107498425
690.01362464659540960.02724929319081930.98637535340459
700.03680471289608270.07360942579216540.963195287103917
710.0842549840438290.1685099680876580.915745015956171
720.148274874521460.296549749042920.85172512547854
730.2113819189148230.4227638378296470.788618081085177
740.2881444511801050.5762889023602090.711855548819895
750.3696408411758660.7392816823517330.630359158824134
760.4509216027254430.9018432054508860.549078397274557
770.524967047433360.950065905133280.47503295256664
780.5852389813464470.8295220373071060.414761018653553
790.6569894495446570.6860211009106860.343010550455343
800.7286041930405030.5427916139189940.271395806959497
810.7847533497196210.4304933005607580.215246650280379
820.8181666495349320.3636667009301350.181833350465068
830.852822176382910.2943556472341790.147177823617089
840.874476303982860.2510473920342810.125523696017141
850.8854813298637550.229037340272490.114518670136245
860.8973758835643660.2052482328712670.102624116435634
870.9067616755389030.1864766489221950.0932383244610973
880.9147837126076330.1704325747847330.0852162873923665
890.9224098959065810.1551802081868380.0775901040934188
900.9278617200968320.1442765598063360.0721382799031678
910.9345733284070590.1308533431858820.0654266715929411
920.9438244567467910.1123510865064170.0561755432532084
930.9519174741673970.09616505166520680.0480825258326034
940.958609809989450.08278038002110080.0413901900105504
950.9648556339560330.07028873208793490.0351443660439674
960.9697951649876120.06040967002477590.030204835012388
970.9717178104068430.05656437918631360.0282821895931568
980.9734924007944840.0530151984110320.026507599205516
990.975312517385040.04937496522991920.0246874826149596
1000.9771159072409780.04576818551804450.0228840927590222
1010.9790207778201980.04195844435960310.0209792221798015
1020.9804421625779820.03911567484403530.0195578374220176
1030.981902637759770.0361947244804620.018097362240231
1040.9841827796350860.03163444072982870.0158172203649144
1050.986921598092060.02615680381588150.0130784019079408
1060.9893712296455350.02125754070892920.0106287703544646
1070.99124413711590.01751172576819870.00875586288409935
1080.9927104975313370.0145790049373260.00728950246866302
1090.9933915005265010.01321699894699750.00660849947349876
1100.9940446098356770.01191078032864540.0059553901643227
1110.9943358556861040.01132828862779280.00566414431389642
1120.9949610652666320.01007786946673630.00503893473336814
1130.9955097028754060.008980594249187840.00449029712459392
1140.9960016659834460.007996668033107640.00399833401655382
1150.9966050370549370.006789925890126610.00339496294506331
1160.9971502108540820.005699578291835220.00284978914591761
1170.9978546708186840.00429065836263160.0021453291813158
1180.9983902512307960.003219497538408290.00160974876920414
1190.9987528135876370.002494372824725670.00124718641236284
1200.9990383031162330.001923393767534120.000961696883767058
1210.999195263570130.00160947285974110.00080473642987055
1220.9993544812293880.001291037541223880.000645518770611939
1230.9994908480612120.001018303877576210.000509151938788107
1240.9996096070879390.0007807858241229020.000390392912061451
1250.9997028125545710.0005943748908569690.000297187445428484
1260.9997708896783550.0004582206432901720.000229110321645086
1270.9998257737955450.0003484524089108950.000174226204455447
1280.9998835135795850.0002329728408289240.000116486420414462
1290.9999243262632020.0001513474735965317.56737367982656e-05
1300.9999477890071360.0001044219857281615.22109928640805e-05
1310.9999604947999317.90104001376366e-053.95052000688183e-05
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1930.9999994943549971.01129000614497e-065.05645003072483e-07
1940.9999996530494676.93901066063775e-073.46950533031888e-07
1950.999999724265455.51469098885299e-072.75734549442649e-07
1960.9999997820528374.35894326521951e-072.17947163260975e-07
1970.9999998034843473.93031306693103e-071.96515653346552e-07
1980.9999997961192244.07761551840874e-072.03880775920437e-07
1990.9999997968114684.06377063049744e-072.03188531524872e-07
2000.9999998088104273.82379144923557e-071.91189572461779e-07
2010.999999806379343.87241321108863e-071.93620660554431e-07
2020.9999997963639144.07272171559903e-072.03636085779952e-07
2030.9999998124681763.75063647032294e-071.87531823516147e-07
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2180.9999999997583264.83347914552319e-102.4167395727616e-10
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23216.81338024579003e-173.40669012289501e-17
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23712.07426336649513e-211.03713168324757e-21
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24512.01530618717806e-281.00765309358903e-28
24619.72788272368434e-294.86394136184217e-29
24719.21288618884018e-294.60644309442009e-29
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24913.54541324443796e-311.77270662221898e-31
25013.39749397224544e-311.69874698612272e-31
25113.4636033305453e-311.73180166527265e-31
25217.91606104157957e-313.95803052078978e-31
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25418.7273076664058e-304.3636538332029e-30
25515.46056182828728e-292.73028091414364e-29
25612.96386949363074e-281.48193474681537e-28
25711.57855445235852e-277.89277226179258e-28
25811.04819172958237e-265.24095864791186e-27
25916.34947647461198e-263.17473823730599e-26
26012.84604249449834e-251.42302124724917e-25
26118.19520536265154e-254.09760268132577e-25
26212.49074276744832e-241.24537138372416e-24
26311.61767000204581e-238.08835001022907e-24
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27419.76203439654685e-184.88101719827342e-18
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27612.13557846102591e-161.06778923051295e-16
27717.32648323104762e-163.66324161552381e-16
27812.00380220106189e-151.00190110053094e-15
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2800.9999999999999911.76186394699207e-148.80931973496034e-15
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2820.999999999999833.393637472864e-131.696818736432e-13
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2840.9999999999887492.25027486567873e-111.12513743283936e-11
2850.9999999999222921.55414937369996e-107.77074686849981e-11
2860.9999999996248257.50349871438447e-103.75174935719224e-10
2870.9999999987259462.54810768098833e-091.27405384049417e-09
2880.999999993714441.25711188935795e-086.28555944678975e-09
2890.999999961453627.70927580699106e-083.85463790349553e-08
2900.9999997772413534.45517293939243e-072.22758646969622e-07
2910.999998849669412.30066117831621e-061.1503305891581e-06
2920.9999947991325481.04017349041095e-055.20086745205476e-06
2930.9999828966920843.42066158321131e-051.71033079160565e-05
2940.9999301812617570.0001396374764856086.9818738242804e-05
2950.9998572647375780.0002854705248448460.000142735262422423
2960.9993711521834020.001257695633196030.000628847816598016







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2370.843416370106762NOK
5% type I error level2520.896797153024911NOK
10% type I error level2590.921708185053381NOK

\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 & 237 & 0.843416370106762 & NOK \tabularnewline
5% type I error level & 252 & 0.896797153024911 & NOK \tabularnewline
10% type I error level & 259 & 0.921708185053381 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148163&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]237[/C][C]0.843416370106762[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]252[/C][C]0.896797153024911[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]259[/C][C]0.921708185053381[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148163&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148163&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 level2370.843416370106762NOK
5% type I error level2520.896797153024911NOK
10% type I error level2590.921708185053381NOK



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