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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 13 Dec 2011 03:55:28 -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/Dec/13/t1323767021wu375p8p1eo0725.htm/, Retrieved Thu, 02 May 2024 23:11:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154289, Retrieved Thu, 02 May 2024 23:11:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2010-12-05 18:56:24] [b98453cac15ba1066b407e146608df68]
- R PD    [Multiple Regression] [] [2011-12-13 08:55:28] [888ed98a09d01be7e0be9dfdea403736] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154289&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154289&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154289&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Reviewed[t] = + 10.5087913510473 + 0.138669274669259Blogged[t] + 5.89700717225165e-05TotSec[t] + 0.794578183961393SharedComp[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Reviewed[t] =  +  10.5087913510473 +  0.138669274669259Blogged[t] +  5.89700717225165e-05TotSec[t] +  0.794578183961393SharedComp[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154289&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Reviewed[t] =  +  10.5087913510473 +  0.138669274669259Blogged[t] +  5.89700717225165e-05TotSec[t] +  0.794578183961393SharedComp[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154289&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154289&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
Reviewed[t] = + 10.5087913510473 + 0.138669274669259Blogged[t] + 5.89700717225165e-05TotSec[t] + 0.794578183961393SharedComp[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)10.50879135104730.6697915.689700
Blogged0.1386692746692590.0186027.454700
TotSec5.89700717225165e-051.4e-054.21923.3e-051.6e-05
SharedComp0.7945781839613930.1408955.639500

\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) & 10.5087913510473 & 0.66979 & 15.6897 & 0 & 0 \tabularnewline
Blogged & 0.138669274669259 & 0.018602 & 7.4547 & 0 & 0 \tabularnewline
TotSec & 5.89700717225165e-05 & 1.4e-05 & 4.2192 & 3.3e-05 & 1.6e-05 \tabularnewline
SharedComp & 0.794578183961393 & 0.140895 & 5.6395 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154289&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]10.5087913510473[/C][C]0.66979[/C][C]15.6897[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Blogged[/C][C]0.138669274669259[/C][C]0.018602[/C][C]7.4547[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]TotSec[/C][C]5.89700717225165e-05[/C][C]1.4e-05[/C][C]4.2192[/C][C]3.3e-05[/C][C]1.6e-05[/C][/ROW]
[ROW][C]SharedComp[/C][C]0.794578183961393[/C][C]0.140895[/C][C]5.6395[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154289&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154289&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)10.50879135104730.6697915.689700
Blogged0.1386692746692590.0186027.454700
TotSec5.89700717225165e-051.4e-054.21923.3e-051.6e-05
SharedComp0.7945781839613930.1408955.639500






Multiple Linear Regression - Regression Statistics
Multiple R0.805511750292076
R-squared0.648849179858604
Adjusted R-squared0.645152855436063
F-TEST (value)175.53902355047
F-TEST (DF numerator)3
F-TEST (DF denominator)285
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.31150170858538
Sum Squared Residuals11352.9903379807

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.805511750292076 \tabularnewline
R-squared & 0.648849179858604 \tabularnewline
Adjusted R-squared & 0.645152855436063 \tabularnewline
F-TEST (value) & 175.53902355047 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 285 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 6.31150170858538 \tabularnewline
Sum Squared Residuals & 11352.9903379807 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154289&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.805511750292076[/C][/ROW]
[ROW][C]R-squared[/C][C]0.648849179858604[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.645152855436063[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]175.53902355047[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]285[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]6.31150170858538[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]11352.9903379807[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154289&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154289&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.805511750292076
R-squared0.648849179858604
Adjusted R-squared0.645152855436063
F-TEST (value)175.53902355047
F-TEST (DF numerator)3
F-TEST (DF denominator)285
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.31150170858538
Sum Squared Residuals11352.9903379807






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
13032.4737176035878-2.47371760358782
22827.53045415262350.469545847376463
33833.44392183734754.55607816265252
43032.7903753455288-2.79037534552878
52222.7705986566643-0.770598656664271
62615.401761424796310.5982385752037
72538.8260347294704-13.8260347294704
81811.0515825272316.94841747276903
91114.5517435185465-3.55174351854655
102626.0912582395654-0.0912582395654291
112525.123865921526-0.123865921526042
123829.81568261207268.18431738792738
134432.469335170557911.5306648294421
143025.66555583292294.33444416707711
154032.80795926041927.19204073958076
163432.05946808887851.94053191112151
174741.35315128554055.64684871445955
183035.8730008438134-5.87300084381345
193130.21256687143210.787433128567854
202327.4657888280571-4.4657888280571
213638.2390888223956-2.23908882239563
223631.68084399886474.31915600113525
233029.93128169224850.0687183077515231
242527.250706361834-2.25070636183402
253932.17415702350966.82584297649039
263432.61566289811281.38433710188717
273126.44485910223724.55514089776282
283133.4252328880026-2.42523288800258
293332.83784141011560.162158589884432
302520.20514691684824.79485308315182
313335.6136216561661-2.61362165616614
323534.58194441791010.418055582089906
334224.626220976168617.3737790238314
344336.73870796622026.26129203377977
353020.55061550312789.44938449687221
363337.0769381930606-4.0769381930606
371318.5603046240939-5.56030462409395
383225.45946690172646.54053309827359
393631.57311559562964.42688440437038
40010.6225446194-10.6225446194
412825.31376891747932.68623108252066
421419.3227770570437-5.32277705704371
431718.1951757521533-1.19517575215326
443233.4781884499351-1.47818844993507
453040.2677836983505-10.2677836983505
463527.11698458282217.88301541717787
472021.3906337788235-1.39063377882355
482829.0328807435199-1.0328807435199
492821.82793789268716.17206210731288
503920.638312053079218.3616879469208
513427.31526220401146.68473779598864
522618.23074025824367.7692597417564
533928.622290748767110.3777092512329
543942.343834042357-3.34383404235705
553329.85993505064163.14006494935841
562828.5939973341697-0.593997334169718
57412.5055861577535-8.50558615775353
583936.96861159828252.03138840171747
591818.8744165697894-0.874416569789379
601419.7548487096219-5.75484870962186
612927.91591591700471.08408408299529
624437.95810841137256.04189158862751
632133.6585601597345-12.6585601597345
641617.6743797361016-1.67437973610164
652836.8305607958783-8.83056079587826
663537.8342193951969-2.83421939519693
672834.0188088467409-6.01880884674086
683845.204103879329-7.20410387932903
692342.2939338515422-19.2939338515422
703628.9539615261457.04603847385497
713230.30051477990661.69948522009341
722925.44047488336333.55952511663668
732527.409342959281-2.40934295928104
742727.9700133789034-0.970013378903361
753633.71558195772662.28441804227342
762832.9362742090529-4.93627420905285
772335.1866820328275-12.1866820328275
784035.83791992126464.16208007873543
792319.73188748625663.2681125137434
804030.73594586207119.26405413792894
812826.55952319275511.44047680724488
823429.42194103551714.57805896448292
833335.3484781700343-2.34847817003432
842832.8906758548258-4.89067585482575
853432.99175012023251.00824987976752
863029.73963678094810.260363219051887
873323.10492900390189.89507099609822
882222.29270979948-0.292709799480044
893834.63942154945323.36057845054679
902622.68592802966223.31407197033777
913532.22602255103422.7739774489658
92820.5936440513836-12.5936440513836
932415.32036403743298.67963596256713
942928.29370010258830.706299897411746
952020.2655606043141-0.26556060431414
962925.44684662975733.55315337024267
974528.544667718160116.4553322818399
983734.29392141900132.70607858099872
993325.91228058197877.08771941802133
1003335.0113246029624-2.01132460296238
1012524.05685366264490.943146337355079
1023229.46278519066082.53721480933921
1032928.82614456851070.173855431489343
1042827.06551474215640.934485257843592
1052832.1474974688464-4.1474974688464
1063139.3626738922829-8.36267389228293
1075242.3250771945899.67492280541097
1082117.52871973151243.47128026848757
1092446.6935287204244-22.6935287204244
1104134.99706586700416.00293413299591
1113336.7927137184009-3.7927137184009
1123219.703892099096712.2961079009033
1131916.64738716550622.35261283449375
1142028.4790061725004-8.47900617250039
1153128.54249273158892.45750726841109
1163132.0766603283764-1.07666032837637
1173238.4162272614118-6.41622726141177
1181823.3788182784378-5.37881827843783
1192323.4255691194609-0.425569119460924
1201718.6119893546327-1.61198935463269
1212022.019224107336-2.01922410733595
1221215.5764450269292-3.57644502692919
1231721.6304448204609-4.63044482046089
1243026.05012495226433.94987504773573
1253129.80280229232391.19719770767607
1261019.6857772551298-9.68577725512985
1271319.2561954811087-6.25619548110873
1282221.669269669740.330730330260037
1294235.08174383761446.91825616238563
130112.5172668360096-11.5172668360096
131914.6197312087567-5.61973120875668
1323230.18457263908231.81542736091772
1331118.327750869377-7.32775086937697
1342518.71859641078986.28140358921016
1353623.628033384240212.3719666157598
1363139.7170527106652-8.71705271066518
137011.4539682646708-11.4539682646708
1382429.9087371868199-5.90873718681987
1391312.85740620970510.142593790294891
140813.7805895886037-5.78058958860368
1411313.5277802870742-0.5277802870742
1421923.1263918079812-4.12639180798125
1431812.07578163899025.9242183610098
1443334.1069886267398-1.10698862673979
1454029.005584745489710.9944152545103
1462216.36613099696515.63386900303487
1473822.48883969463815.511160305362
1482419.16321027242474.83678972757531
149813.5520782586514-5.5520782586514
1503522.597506297681312.4024937023187
1514332.185243356329510.8147566436705
1524323.52135723418619.478642765814
1531420.2035678604564-6.20356786045636
1544140.85737334085090.142626659149071
1553839.1951682525414-1.19516825254136
1564544.42545404262570.574545957374294
1573124.60061296499456.39938703500546
1581315.8651012259834-2.86510122598338
1592818.15736442604159.84263557395849
1603127.07459176824143.92540823175858
1614036.92953007673363.07046992326642
1623021.59977351774658.40022648225348
1631618.391893005337-2.39189300533701
1643733.37495003147433.62504996852566
1653023.37608839372846.62391160627156
1663530.79967334302724.20032665697281
1673226.13112082016855.86887917983155
1682715.787135885083611.2128641149164
1692022.0062437854744-2.00624378547443
1701821.461674299029-3.461674299029
1713136.3705074105384-5.37050741053838
1723133.3169955865158-2.31699558651579
1732119.22079891621831.77920108378174
1743942.2120430772346-3.21204307723458
1754136.62854933871284.37145066128719
1761317.6224116653419-4.6224116653419
1773231.38140873560960.618591264390444
1781815.50278910532022.49721089467976
1793937.68333962734131.31666037265869
1801421.4444905172855-7.44449051728548
181719.1151261730986-12.1151261730986
1821719.5721453430942-2.57214534309421
183011.5324574301335-11.5324574301335
1843023.8905713943636.10942860563701
1853735.13798909927961.86201090072042
186011.7298042281942-11.7298042281942
187513.441209919758-8.44120991975803
188110.961091801159-9.96109180115901
1891620.3659622298701-4.36596222987008
1903216.484949462023915.5150505379761
1912421.63800195865672.36199804134332
1921714.36141185699332.63858814300668
1931120.466159526904-9.46615952690399
1942417.55000705235296.44999294764707
1952223.7076528988675-1.70765289886752
1961222.0573473467856-10.0573473467856
1971914.04707073866274.95292926133732
1981316.4327971374407-3.43279713744074
1991718.3117941474329-1.31179414743289
2001517.4104059651046-2.4104059651046
2011617.1827547796407-1.18275477964065
2022414.35924540191189.64075459808821
2031517.9090483601006-2.90904836010057
2041717.6425006572668-0.64250065726681
2051818.4800903671687-0.480090367168693
2062012.68208588444657.31791411555346
2071616.3006021117367-0.300602111736734
2081618.8946082627164-2.89460826271641
2091817.74651993635070.25348006364926
2102220.37888358165991.62111641834012
211820.0661342177401-12.0661342177401
2121717.7400094984942-0.74000949849421
2131814.574800816593.42519918340995
2141617.6357151715841-1.63571517158413
2152316.52614656254666.47385343745339
2162214.00808255223887.99191744776121
2171315.8707929889184-2.87079298891837
2181319.3405047456413-6.34050474564132
2191618.8629524068134-2.86295240681337
2201613.95097555374962.04902444625045
2212016.92184951530593.07815048469408
2222224.3002139405337-2.30021394053365
2231722.3310580856994-5.33105808569941
2241816.24734292886121.75265707113879
2251711.44409192867115.55590807132891
2261221.4584795598284-9.4584795598284
227715.6364129858159-8.63641298581594
2281717.6480576561739-0.648057656173866
2291417.1247595417358-3.12475954173578
2302317.07175834370715.92824165629287
2311711.58017505167425.41982494832581
2321418.1545101326318-4.15451013263178
2331518.1850167856243-3.18501678562433
2341714.02059547848682.97940452151321
2352115.6377432654715.36225673452902
2361817.12150305224640.878496947753643
2371816.10534299615341.89465700384661
2381715.18296146829191.81703853170811
2391716.57820257335670.42179742664328
2401613.365791802082.63420819792003
2411515.340819746238-0.340819746238017
2422117.98074445717753.01925554282247
2431616.113048949637-0.113048949637032
2441416.1957137191492-2.19571371914917
2451515.856784143843-0.856784143842984
2461717.7402516082432-0.740251608243213
2471521.0810187977204-6.08101879772035
2481514.51540874625540.484591253744617
2491014.6860490079083-4.68604900790834
250614.3865070755525-8.38650707555253
2512217.96744555499034.03255444500966
2522119.10517126292551.89482873707449
253112.8778404905707-11.8778404905707
2541814.4152340319713.58476596802897
2551715.2779905878591.72200941214104
256411.8209436250551-7.82094362505511
2571015.2673522449819-5.26735224498185
2581615.50467844964290.495321550357117
2591614.47281945802181.52718054197817
260914.0303845103927-5.03038451039273
2611610.924237808365.07576219164004
2621718.6208217298464-1.62082172984639
263711.3940853078504-4.39408530785039
2641517.0702274238699-2.07022742386987
2651413.95776401808020.0422359819197858
2661418.1840847746144-4.18408477461438
2671817.34337679608860.656623203911436
2681215.7936341031107-3.79363410311074
2691617.9109874663848-1.91098746638484
2702117.58202637432213.41797362567793
2711915.4520810731013.54791892689901
2721614.88179900997751.11820099002253
273111.4802428846645-10.4802428846645
2741620.1646192790974-4.1646192790974
2751015.2787311667968-5.27873116679678
2761921.6683674197283-2.6683674197283
2771213.6083375715765-1.60833757157654
278213.2754581836907-11.2754581836907
2791419.7955011935987-5.79550119359866
2801714.46921145012962.5307885498704
2811915.66587429171013.33412570828986
2821414.3514505189273-0.351450518927258
2831118.102535633979-7.10253563397904
284412.7672518035585-8.76725180355854
2851612.98495617281343.01504382718661
2862013.33450702801746.66549297198259
2871214.0330819352146-2.03308193521455
2881516.6101620502028-1.6101620502028
2891614.98160240332651.01839759667346

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 30 & 32.4737176035878 & -2.47371760358782 \tabularnewline
2 & 28 & 27.5304541526235 & 0.469545847376463 \tabularnewline
3 & 38 & 33.4439218373475 & 4.55607816265252 \tabularnewline
4 & 30 & 32.7903753455288 & -2.79037534552878 \tabularnewline
5 & 22 & 22.7705986566643 & -0.770598656664271 \tabularnewline
6 & 26 & 15.4017614247963 & 10.5982385752037 \tabularnewline
7 & 25 & 38.8260347294704 & -13.8260347294704 \tabularnewline
8 & 18 & 11.051582527231 & 6.94841747276903 \tabularnewline
9 & 11 & 14.5517435185465 & -3.55174351854655 \tabularnewline
10 & 26 & 26.0912582395654 & -0.0912582395654291 \tabularnewline
11 & 25 & 25.123865921526 & -0.123865921526042 \tabularnewline
12 & 38 & 29.8156826120726 & 8.18431738792738 \tabularnewline
13 & 44 & 32.4693351705579 & 11.5306648294421 \tabularnewline
14 & 30 & 25.6655558329229 & 4.33444416707711 \tabularnewline
15 & 40 & 32.8079592604192 & 7.19204073958076 \tabularnewline
16 & 34 & 32.0594680888785 & 1.94053191112151 \tabularnewline
17 & 47 & 41.3531512855405 & 5.64684871445955 \tabularnewline
18 & 30 & 35.8730008438134 & -5.87300084381345 \tabularnewline
19 & 31 & 30.2125668714321 & 0.787433128567854 \tabularnewline
20 & 23 & 27.4657888280571 & -4.4657888280571 \tabularnewline
21 & 36 & 38.2390888223956 & -2.23908882239563 \tabularnewline
22 & 36 & 31.6808439988647 & 4.31915600113525 \tabularnewline
23 & 30 & 29.9312816922485 & 0.0687183077515231 \tabularnewline
24 & 25 & 27.250706361834 & -2.25070636183402 \tabularnewline
25 & 39 & 32.1741570235096 & 6.82584297649039 \tabularnewline
26 & 34 & 32.6156628981128 & 1.38433710188717 \tabularnewline
27 & 31 & 26.4448591022372 & 4.55514089776282 \tabularnewline
28 & 31 & 33.4252328880026 & -2.42523288800258 \tabularnewline
29 & 33 & 32.8378414101156 & 0.162158589884432 \tabularnewline
30 & 25 & 20.2051469168482 & 4.79485308315182 \tabularnewline
31 & 33 & 35.6136216561661 & -2.61362165616614 \tabularnewline
32 & 35 & 34.5819444179101 & 0.418055582089906 \tabularnewline
33 & 42 & 24.6262209761686 & 17.3737790238314 \tabularnewline
34 & 43 & 36.7387079662202 & 6.26129203377977 \tabularnewline
35 & 30 & 20.5506155031278 & 9.44938449687221 \tabularnewline
36 & 33 & 37.0769381930606 & -4.0769381930606 \tabularnewline
37 & 13 & 18.5603046240939 & -5.56030462409395 \tabularnewline
38 & 32 & 25.4594669017264 & 6.54053309827359 \tabularnewline
39 & 36 & 31.5731155956296 & 4.42688440437038 \tabularnewline
40 & 0 & 10.6225446194 & -10.6225446194 \tabularnewline
41 & 28 & 25.3137689174793 & 2.68623108252066 \tabularnewline
42 & 14 & 19.3227770570437 & -5.32277705704371 \tabularnewline
43 & 17 & 18.1951757521533 & -1.19517575215326 \tabularnewline
44 & 32 & 33.4781884499351 & -1.47818844993507 \tabularnewline
45 & 30 & 40.2677836983505 & -10.2677836983505 \tabularnewline
46 & 35 & 27.1169845828221 & 7.88301541717787 \tabularnewline
47 & 20 & 21.3906337788235 & -1.39063377882355 \tabularnewline
48 & 28 & 29.0328807435199 & -1.0328807435199 \tabularnewline
49 & 28 & 21.8279378926871 & 6.17206210731288 \tabularnewline
50 & 39 & 20.6383120530792 & 18.3616879469208 \tabularnewline
51 & 34 & 27.3152622040114 & 6.68473779598864 \tabularnewline
52 & 26 & 18.2307402582436 & 7.7692597417564 \tabularnewline
53 & 39 & 28.6222907487671 & 10.3777092512329 \tabularnewline
54 & 39 & 42.343834042357 & -3.34383404235705 \tabularnewline
55 & 33 & 29.8599350506416 & 3.14006494935841 \tabularnewline
56 & 28 & 28.5939973341697 & -0.593997334169718 \tabularnewline
57 & 4 & 12.5055861577535 & -8.50558615775353 \tabularnewline
58 & 39 & 36.9686115982825 & 2.03138840171747 \tabularnewline
59 & 18 & 18.8744165697894 & -0.874416569789379 \tabularnewline
60 & 14 & 19.7548487096219 & -5.75484870962186 \tabularnewline
61 & 29 & 27.9159159170047 & 1.08408408299529 \tabularnewline
62 & 44 & 37.9581084113725 & 6.04189158862751 \tabularnewline
63 & 21 & 33.6585601597345 & -12.6585601597345 \tabularnewline
64 & 16 & 17.6743797361016 & -1.67437973610164 \tabularnewline
65 & 28 & 36.8305607958783 & -8.83056079587826 \tabularnewline
66 & 35 & 37.8342193951969 & -2.83421939519693 \tabularnewline
67 & 28 & 34.0188088467409 & -6.01880884674086 \tabularnewline
68 & 38 & 45.204103879329 & -7.20410387932903 \tabularnewline
69 & 23 & 42.2939338515422 & -19.2939338515422 \tabularnewline
70 & 36 & 28.953961526145 & 7.04603847385497 \tabularnewline
71 & 32 & 30.3005147799066 & 1.69948522009341 \tabularnewline
72 & 29 & 25.4404748833633 & 3.55952511663668 \tabularnewline
73 & 25 & 27.409342959281 & -2.40934295928104 \tabularnewline
74 & 27 & 27.9700133789034 & -0.970013378903361 \tabularnewline
75 & 36 & 33.7155819577266 & 2.28441804227342 \tabularnewline
76 & 28 & 32.9362742090529 & -4.93627420905285 \tabularnewline
77 & 23 & 35.1866820328275 & -12.1866820328275 \tabularnewline
78 & 40 & 35.8379199212646 & 4.16208007873543 \tabularnewline
79 & 23 & 19.7318874862566 & 3.2681125137434 \tabularnewline
80 & 40 & 30.7359458620711 & 9.26405413792894 \tabularnewline
81 & 28 & 26.5595231927551 & 1.44047680724488 \tabularnewline
82 & 34 & 29.4219410355171 & 4.57805896448292 \tabularnewline
83 & 33 & 35.3484781700343 & -2.34847817003432 \tabularnewline
84 & 28 & 32.8906758548258 & -4.89067585482575 \tabularnewline
85 & 34 & 32.9917501202325 & 1.00824987976752 \tabularnewline
86 & 30 & 29.7396367809481 & 0.260363219051887 \tabularnewline
87 & 33 & 23.1049290039018 & 9.89507099609822 \tabularnewline
88 & 22 & 22.29270979948 & -0.292709799480044 \tabularnewline
89 & 38 & 34.6394215494532 & 3.36057845054679 \tabularnewline
90 & 26 & 22.6859280296622 & 3.31407197033777 \tabularnewline
91 & 35 & 32.2260225510342 & 2.7739774489658 \tabularnewline
92 & 8 & 20.5936440513836 & -12.5936440513836 \tabularnewline
93 & 24 & 15.3203640374329 & 8.67963596256713 \tabularnewline
94 & 29 & 28.2937001025883 & 0.706299897411746 \tabularnewline
95 & 20 & 20.2655606043141 & -0.26556060431414 \tabularnewline
96 & 29 & 25.4468466297573 & 3.55315337024267 \tabularnewline
97 & 45 & 28.5446677181601 & 16.4553322818399 \tabularnewline
98 & 37 & 34.2939214190013 & 2.70607858099872 \tabularnewline
99 & 33 & 25.9122805819787 & 7.08771941802133 \tabularnewline
100 & 33 & 35.0113246029624 & -2.01132460296238 \tabularnewline
101 & 25 & 24.0568536626449 & 0.943146337355079 \tabularnewline
102 & 32 & 29.4627851906608 & 2.53721480933921 \tabularnewline
103 & 29 & 28.8261445685107 & 0.173855431489343 \tabularnewline
104 & 28 & 27.0655147421564 & 0.934485257843592 \tabularnewline
105 & 28 & 32.1474974688464 & -4.1474974688464 \tabularnewline
106 & 31 & 39.3626738922829 & -8.36267389228293 \tabularnewline
107 & 52 & 42.325077194589 & 9.67492280541097 \tabularnewline
108 & 21 & 17.5287197315124 & 3.47128026848757 \tabularnewline
109 & 24 & 46.6935287204244 & -22.6935287204244 \tabularnewline
110 & 41 & 34.9970658670041 & 6.00293413299591 \tabularnewline
111 & 33 & 36.7927137184009 & -3.7927137184009 \tabularnewline
112 & 32 & 19.7038920990967 & 12.2961079009033 \tabularnewline
113 & 19 & 16.6473871655062 & 2.35261283449375 \tabularnewline
114 & 20 & 28.4790061725004 & -8.47900617250039 \tabularnewline
115 & 31 & 28.5424927315889 & 2.45750726841109 \tabularnewline
116 & 31 & 32.0766603283764 & -1.07666032837637 \tabularnewline
117 & 32 & 38.4162272614118 & -6.41622726141177 \tabularnewline
118 & 18 & 23.3788182784378 & -5.37881827843783 \tabularnewline
119 & 23 & 23.4255691194609 & -0.425569119460924 \tabularnewline
120 & 17 & 18.6119893546327 & -1.61198935463269 \tabularnewline
121 & 20 & 22.019224107336 & -2.01922410733595 \tabularnewline
122 & 12 & 15.5764450269292 & -3.57644502692919 \tabularnewline
123 & 17 & 21.6304448204609 & -4.63044482046089 \tabularnewline
124 & 30 & 26.0501249522643 & 3.94987504773573 \tabularnewline
125 & 31 & 29.8028022923239 & 1.19719770767607 \tabularnewline
126 & 10 & 19.6857772551298 & -9.68577725512985 \tabularnewline
127 & 13 & 19.2561954811087 & -6.25619548110873 \tabularnewline
128 & 22 & 21.66926966974 & 0.330730330260037 \tabularnewline
129 & 42 & 35.0817438376144 & 6.91825616238563 \tabularnewline
130 & 1 & 12.5172668360096 & -11.5172668360096 \tabularnewline
131 & 9 & 14.6197312087567 & -5.61973120875668 \tabularnewline
132 & 32 & 30.1845726390823 & 1.81542736091772 \tabularnewline
133 & 11 & 18.327750869377 & -7.32775086937697 \tabularnewline
134 & 25 & 18.7185964107898 & 6.28140358921016 \tabularnewline
135 & 36 & 23.6280333842402 & 12.3719666157598 \tabularnewline
136 & 31 & 39.7170527106652 & -8.71705271066518 \tabularnewline
137 & 0 & 11.4539682646708 & -11.4539682646708 \tabularnewline
138 & 24 & 29.9087371868199 & -5.90873718681987 \tabularnewline
139 & 13 & 12.8574062097051 & 0.142593790294891 \tabularnewline
140 & 8 & 13.7805895886037 & -5.78058958860368 \tabularnewline
141 & 13 & 13.5277802870742 & -0.5277802870742 \tabularnewline
142 & 19 & 23.1263918079812 & -4.12639180798125 \tabularnewline
143 & 18 & 12.0757816389902 & 5.9242183610098 \tabularnewline
144 & 33 & 34.1069886267398 & -1.10698862673979 \tabularnewline
145 & 40 & 29.0055847454897 & 10.9944152545103 \tabularnewline
146 & 22 & 16.3661309969651 & 5.63386900303487 \tabularnewline
147 & 38 & 22.488839694638 & 15.511160305362 \tabularnewline
148 & 24 & 19.1632102724247 & 4.83678972757531 \tabularnewline
149 & 8 & 13.5520782586514 & -5.5520782586514 \tabularnewline
150 & 35 & 22.5975062976813 & 12.4024937023187 \tabularnewline
151 & 43 & 32.1852433563295 & 10.8147566436705 \tabularnewline
152 & 43 & 23.521357234186 & 19.478642765814 \tabularnewline
153 & 14 & 20.2035678604564 & -6.20356786045636 \tabularnewline
154 & 41 & 40.8573733408509 & 0.142626659149071 \tabularnewline
155 & 38 & 39.1951682525414 & -1.19516825254136 \tabularnewline
156 & 45 & 44.4254540426257 & 0.574545957374294 \tabularnewline
157 & 31 & 24.6006129649945 & 6.39938703500546 \tabularnewline
158 & 13 & 15.8651012259834 & -2.86510122598338 \tabularnewline
159 & 28 & 18.1573644260415 & 9.84263557395849 \tabularnewline
160 & 31 & 27.0745917682414 & 3.92540823175858 \tabularnewline
161 & 40 & 36.9295300767336 & 3.07046992326642 \tabularnewline
162 & 30 & 21.5997735177465 & 8.40022648225348 \tabularnewline
163 & 16 & 18.391893005337 & -2.39189300533701 \tabularnewline
164 & 37 & 33.3749500314743 & 3.62504996852566 \tabularnewline
165 & 30 & 23.3760883937284 & 6.62391160627156 \tabularnewline
166 & 35 & 30.7996733430272 & 4.20032665697281 \tabularnewline
167 & 32 & 26.1311208201685 & 5.86887917983155 \tabularnewline
168 & 27 & 15.7871358850836 & 11.2128641149164 \tabularnewline
169 & 20 & 22.0062437854744 & -2.00624378547443 \tabularnewline
170 & 18 & 21.461674299029 & -3.461674299029 \tabularnewline
171 & 31 & 36.3705074105384 & -5.37050741053838 \tabularnewline
172 & 31 & 33.3169955865158 & -2.31699558651579 \tabularnewline
173 & 21 & 19.2207989162183 & 1.77920108378174 \tabularnewline
174 & 39 & 42.2120430772346 & -3.21204307723458 \tabularnewline
175 & 41 & 36.6285493387128 & 4.37145066128719 \tabularnewline
176 & 13 & 17.6224116653419 & -4.6224116653419 \tabularnewline
177 & 32 & 31.3814087356096 & 0.618591264390444 \tabularnewline
178 & 18 & 15.5027891053202 & 2.49721089467976 \tabularnewline
179 & 39 & 37.6833396273413 & 1.31666037265869 \tabularnewline
180 & 14 & 21.4444905172855 & -7.44449051728548 \tabularnewline
181 & 7 & 19.1151261730986 & -12.1151261730986 \tabularnewline
182 & 17 & 19.5721453430942 & -2.57214534309421 \tabularnewline
183 & 0 & 11.5324574301335 & -11.5324574301335 \tabularnewline
184 & 30 & 23.890571394363 & 6.10942860563701 \tabularnewline
185 & 37 & 35.1379890992796 & 1.86201090072042 \tabularnewline
186 & 0 & 11.7298042281942 & -11.7298042281942 \tabularnewline
187 & 5 & 13.441209919758 & -8.44120991975803 \tabularnewline
188 & 1 & 10.961091801159 & -9.96109180115901 \tabularnewline
189 & 16 & 20.3659622298701 & -4.36596222987008 \tabularnewline
190 & 32 & 16.4849494620239 & 15.5150505379761 \tabularnewline
191 & 24 & 21.6380019586567 & 2.36199804134332 \tabularnewline
192 & 17 & 14.3614118569933 & 2.63858814300668 \tabularnewline
193 & 11 & 20.466159526904 & -9.46615952690399 \tabularnewline
194 & 24 & 17.5500070523529 & 6.44999294764707 \tabularnewline
195 & 22 & 23.7076528988675 & -1.70765289886752 \tabularnewline
196 & 12 & 22.0573473467856 & -10.0573473467856 \tabularnewline
197 & 19 & 14.0470707386627 & 4.95292926133732 \tabularnewline
198 & 13 & 16.4327971374407 & -3.43279713744074 \tabularnewline
199 & 17 & 18.3117941474329 & -1.31179414743289 \tabularnewline
200 & 15 & 17.4104059651046 & -2.4104059651046 \tabularnewline
201 & 16 & 17.1827547796407 & -1.18275477964065 \tabularnewline
202 & 24 & 14.3592454019118 & 9.64075459808821 \tabularnewline
203 & 15 & 17.9090483601006 & -2.90904836010057 \tabularnewline
204 & 17 & 17.6425006572668 & -0.64250065726681 \tabularnewline
205 & 18 & 18.4800903671687 & -0.480090367168693 \tabularnewline
206 & 20 & 12.6820858844465 & 7.31791411555346 \tabularnewline
207 & 16 & 16.3006021117367 & -0.300602111736734 \tabularnewline
208 & 16 & 18.8946082627164 & -2.89460826271641 \tabularnewline
209 & 18 & 17.7465199363507 & 0.25348006364926 \tabularnewline
210 & 22 & 20.3788835816599 & 1.62111641834012 \tabularnewline
211 & 8 & 20.0661342177401 & -12.0661342177401 \tabularnewline
212 & 17 & 17.7400094984942 & -0.74000949849421 \tabularnewline
213 & 18 & 14.57480081659 & 3.42519918340995 \tabularnewline
214 & 16 & 17.6357151715841 & -1.63571517158413 \tabularnewline
215 & 23 & 16.5261465625466 & 6.47385343745339 \tabularnewline
216 & 22 & 14.0080825522388 & 7.99191744776121 \tabularnewline
217 & 13 & 15.8707929889184 & -2.87079298891837 \tabularnewline
218 & 13 & 19.3405047456413 & -6.34050474564132 \tabularnewline
219 & 16 & 18.8629524068134 & -2.86295240681337 \tabularnewline
220 & 16 & 13.9509755537496 & 2.04902444625045 \tabularnewline
221 & 20 & 16.9218495153059 & 3.07815048469408 \tabularnewline
222 & 22 & 24.3002139405337 & -2.30021394053365 \tabularnewline
223 & 17 & 22.3310580856994 & -5.33105808569941 \tabularnewline
224 & 18 & 16.2473429288612 & 1.75265707113879 \tabularnewline
225 & 17 & 11.4440919286711 & 5.55590807132891 \tabularnewline
226 & 12 & 21.4584795598284 & -9.4584795598284 \tabularnewline
227 & 7 & 15.6364129858159 & -8.63641298581594 \tabularnewline
228 & 17 & 17.6480576561739 & -0.648057656173866 \tabularnewline
229 & 14 & 17.1247595417358 & -3.12475954173578 \tabularnewline
230 & 23 & 17.0717583437071 & 5.92824165629287 \tabularnewline
231 & 17 & 11.5801750516742 & 5.41982494832581 \tabularnewline
232 & 14 & 18.1545101326318 & -4.15451013263178 \tabularnewline
233 & 15 & 18.1850167856243 & -3.18501678562433 \tabularnewline
234 & 17 & 14.0205954784868 & 2.97940452151321 \tabularnewline
235 & 21 & 15.637743265471 & 5.36225673452902 \tabularnewline
236 & 18 & 17.1215030522464 & 0.878496947753643 \tabularnewline
237 & 18 & 16.1053429961534 & 1.89465700384661 \tabularnewline
238 & 17 & 15.1829614682919 & 1.81703853170811 \tabularnewline
239 & 17 & 16.5782025733567 & 0.42179742664328 \tabularnewline
240 & 16 & 13.36579180208 & 2.63420819792003 \tabularnewline
241 & 15 & 15.340819746238 & -0.340819746238017 \tabularnewline
242 & 21 & 17.9807444571775 & 3.01925554282247 \tabularnewline
243 & 16 & 16.113048949637 & -0.113048949637032 \tabularnewline
244 & 14 & 16.1957137191492 & -2.19571371914917 \tabularnewline
245 & 15 & 15.856784143843 & -0.856784143842984 \tabularnewline
246 & 17 & 17.7402516082432 & -0.740251608243213 \tabularnewline
247 & 15 & 21.0810187977204 & -6.08101879772035 \tabularnewline
248 & 15 & 14.5154087462554 & 0.484591253744617 \tabularnewline
249 & 10 & 14.6860490079083 & -4.68604900790834 \tabularnewline
250 & 6 & 14.3865070755525 & -8.38650707555253 \tabularnewline
251 & 22 & 17.9674455549903 & 4.03255444500966 \tabularnewline
252 & 21 & 19.1051712629255 & 1.89482873707449 \tabularnewline
253 & 1 & 12.8778404905707 & -11.8778404905707 \tabularnewline
254 & 18 & 14.415234031971 & 3.58476596802897 \tabularnewline
255 & 17 & 15.277990587859 & 1.72200941214104 \tabularnewline
256 & 4 & 11.8209436250551 & -7.82094362505511 \tabularnewline
257 & 10 & 15.2673522449819 & -5.26735224498185 \tabularnewline
258 & 16 & 15.5046784496429 & 0.495321550357117 \tabularnewline
259 & 16 & 14.4728194580218 & 1.52718054197817 \tabularnewline
260 & 9 & 14.0303845103927 & -5.03038451039273 \tabularnewline
261 & 16 & 10.92423780836 & 5.07576219164004 \tabularnewline
262 & 17 & 18.6208217298464 & -1.62082172984639 \tabularnewline
263 & 7 & 11.3940853078504 & -4.39408530785039 \tabularnewline
264 & 15 & 17.0702274238699 & -2.07022742386987 \tabularnewline
265 & 14 & 13.9577640180802 & 0.0422359819197858 \tabularnewline
266 & 14 & 18.1840847746144 & -4.18408477461438 \tabularnewline
267 & 18 & 17.3433767960886 & 0.656623203911436 \tabularnewline
268 & 12 & 15.7936341031107 & -3.79363410311074 \tabularnewline
269 & 16 & 17.9109874663848 & -1.91098746638484 \tabularnewline
270 & 21 & 17.5820263743221 & 3.41797362567793 \tabularnewline
271 & 19 & 15.452081073101 & 3.54791892689901 \tabularnewline
272 & 16 & 14.8817990099775 & 1.11820099002253 \tabularnewline
273 & 1 & 11.4802428846645 & -10.4802428846645 \tabularnewline
274 & 16 & 20.1646192790974 & -4.1646192790974 \tabularnewline
275 & 10 & 15.2787311667968 & -5.27873116679678 \tabularnewline
276 & 19 & 21.6683674197283 & -2.6683674197283 \tabularnewline
277 & 12 & 13.6083375715765 & -1.60833757157654 \tabularnewline
278 & 2 & 13.2754581836907 & -11.2754581836907 \tabularnewline
279 & 14 & 19.7955011935987 & -5.79550119359866 \tabularnewline
280 & 17 & 14.4692114501296 & 2.5307885498704 \tabularnewline
281 & 19 & 15.6658742917101 & 3.33412570828986 \tabularnewline
282 & 14 & 14.3514505189273 & -0.351450518927258 \tabularnewline
283 & 11 & 18.102535633979 & -7.10253563397904 \tabularnewline
284 & 4 & 12.7672518035585 & -8.76725180355854 \tabularnewline
285 & 16 & 12.9849561728134 & 3.01504382718661 \tabularnewline
286 & 20 & 13.3345070280174 & 6.66549297198259 \tabularnewline
287 & 12 & 14.0330819352146 & -2.03308193521455 \tabularnewline
288 & 15 & 16.6101620502028 & -1.6101620502028 \tabularnewline
289 & 16 & 14.9816024033265 & 1.01839759667346 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154289&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]30[/C][C]32.4737176035878[/C][C]-2.47371760358782[/C][/ROW]
[ROW][C]2[/C][C]28[/C][C]27.5304541526235[/C][C]0.469545847376463[/C][/ROW]
[ROW][C]3[/C][C]38[/C][C]33.4439218373475[/C][C]4.55607816265252[/C][/ROW]
[ROW][C]4[/C][C]30[/C][C]32.7903753455288[/C][C]-2.79037534552878[/C][/ROW]
[ROW][C]5[/C][C]22[/C][C]22.7705986566643[/C][C]-0.770598656664271[/C][/ROW]
[ROW][C]6[/C][C]26[/C][C]15.4017614247963[/C][C]10.5982385752037[/C][/ROW]
[ROW][C]7[/C][C]25[/C][C]38.8260347294704[/C][C]-13.8260347294704[/C][/ROW]
[ROW][C]8[/C][C]18[/C][C]11.051582527231[/C][C]6.94841747276903[/C][/ROW]
[ROW][C]9[/C][C]11[/C][C]14.5517435185465[/C][C]-3.55174351854655[/C][/ROW]
[ROW][C]10[/C][C]26[/C][C]26.0912582395654[/C][C]-0.0912582395654291[/C][/ROW]
[ROW][C]11[/C][C]25[/C][C]25.123865921526[/C][C]-0.123865921526042[/C][/ROW]
[ROW][C]12[/C][C]38[/C][C]29.8156826120726[/C][C]8.18431738792738[/C][/ROW]
[ROW][C]13[/C][C]44[/C][C]32.4693351705579[/C][C]11.5306648294421[/C][/ROW]
[ROW][C]14[/C][C]30[/C][C]25.6655558329229[/C][C]4.33444416707711[/C][/ROW]
[ROW][C]15[/C][C]40[/C][C]32.8079592604192[/C][C]7.19204073958076[/C][/ROW]
[ROW][C]16[/C][C]34[/C][C]32.0594680888785[/C][C]1.94053191112151[/C][/ROW]
[ROW][C]17[/C][C]47[/C][C]41.3531512855405[/C][C]5.64684871445955[/C][/ROW]
[ROW][C]18[/C][C]30[/C][C]35.8730008438134[/C][C]-5.87300084381345[/C][/ROW]
[ROW][C]19[/C][C]31[/C][C]30.2125668714321[/C][C]0.787433128567854[/C][/ROW]
[ROW][C]20[/C][C]23[/C][C]27.4657888280571[/C][C]-4.4657888280571[/C][/ROW]
[ROW][C]21[/C][C]36[/C][C]38.2390888223956[/C][C]-2.23908882239563[/C][/ROW]
[ROW][C]22[/C][C]36[/C][C]31.6808439988647[/C][C]4.31915600113525[/C][/ROW]
[ROW][C]23[/C][C]30[/C][C]29.9312816922485[/C][C]0.0687183077515231[/C][/ROW]
[ROW][C]24[/C][C]25[/C][C]27.250706361834[/C][C]-2.25070636183402[/C][/ROW]
[ROW][C]25[/C][C]39[/C][C]32.1741570235096[/C][C]6.82584297649039[/C][/ROW]
[ROW][C]26[/C][C]34[/C][C]32.6156628981128[/C][C]1.38433710188717[/C][/ROW]
[ROW][C]27[/C][C]31[/C][C]26.4448591022372[/C][C]4.55514089776282[/C][/ROW]
[ROW][C]28[/C][C]31[/C][C]33.4252328880026[/C][C]-2.42523288800258[/C][/ROW]
[ROW][C]29[/C][C]33[/C][C]32.8378414101156[/C][C]0.162158589884432[/C][/ROW]
[ROW][C]30[/C][C]25[/C][C]20.2051469168482[/C][C]4.79485308315182[/C][/ROW]
[ROW][C]31[/C][C]33[/C][C]35.6136216561661[/C][C]-2.61362165616614[/C][/ROW]
[ROW][C]32[/C][C]35[/C][C]34.5819444179101[/C][C]0.418055582089906[/C][/ROW]
[ROW][C]33[/C][C]42[/C][C]24.6262209761686[/C][C]17.3737790238314[/C][/ROW]
[ROW][C]34[/C][C]43[/C][C]36.7387079662202[/C][C]6.26129203377977[/C][/ROW]
[ROW][C]35[/C][C]30[/C][C]20.5506155031278[/C][C]9.44938449687221[/C][/ROW]
[ROW][C]36[/C][C]33[/C][C]37.0769381930606[/C][C]-4.0769381930606[/C][/ROW]
[ROW][C]37[/C][C]13[/C][C]18.5603046240939[/C][C]-5.56030462409395[/C][/ROW]
[ROW][C]38[/C][C]32[/C][C]25.4594669017264[/C][C]6.54053309827359[/C][/ROW]
[ROW][C]39[/C][C]36[/C][C]31.5731155956296[/C][C]4.42688440437038[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]10.6225446194[/C][C]-10.6225446194[/C][/ROW]
[ROW][C]41[/C][C]28[/C][C]25.3137689174793[/C][C]2.68623108252066[/C][/ROW]
[ROW][C]42[/C][C]14[/C][C]19.3227770570437[/C][C]-5.32277705704371[/C][/ROW]
[ROW][C]43[/C][C]17[/C][C]18.1951757521533[/C][C]-1.19517575215326[/C][/ROW]
[ROW][C]44[/C][C]32[/C][C]33.4781884499351[/C][C]-1.47818844993507[/C][/ROW]
[ROW][C]45[/C][C]30[/C][C]40.2677836983505[/C][C]-10.2677836983505[/C][/ROW]
[ROW][C]46[/C][C]35[/C][C]27.1169845828221[/C][C]7.88301541717787[/C][/ROW]
[ROW][C]47[/C][C]20[/C][C]21.3906337788235[/C][C]-1.39063377882355[/C][/ROW]
[ROW][C]48[/C][C]28[/C][C]29.0328807435199[/C][C]-1.0328807435199[/C][/ROW]
[ROW][C]49[/C][C]28[/C][C]21.8279378926871[/C][C]6.17206210731288[/C][/ROW]
[ROW][C]50[/C][C]39[/C][C]20.6383120530792[/C][C]18.3616879469208[/C][/ROW]
[ROW][C]51[/C][C]34[/C][C]27.3152622040114[/C][C]6.68473779598864[/C][/ROW]
[ROW][C]52[/C][C]26[/C][C]18.2307402582436[/C][C]7.7692597417564[/C][/ROW]
[ROW][C]53[/C][C]39[/C][C]28.6222907487671[/C][C]10.3777092512329[/C][/ROW]
[ROW][C]54[/C][C]39[/C][C]42.343834042357[/C][C]-3.34383404235705[/C][/ROW]
[ROW][C]55[/C][C]33[/C][C]29.8599350506416[/C][C]3.14006494935841[/C][/ROW]
[ROW][C]56[/C][C]28[/C][C]28.5939973341697[/C][C]-0.593997334169718[/C][/ROW]
[ROW][C]57[/C][C]4[/C][C]12.5055861577535[/C][C]-8.50558615775353[/C][/ROW]
[ROW][C]58[/C][C]39[/C][C]36.9686115982825[/C][C]2.03138840171747[/C][/ROW]
[ROW][C]59[/C][C]18[/C][C]18.8744165697894[/C][C]-0.874416569789379[/C][/ROW]
[ROW][C]60[/C][C]14[/C][C]19.7548487096219[/C][C]-5.75484870962186[/C][/ROW]
[ROW][C]61[/C][C]29[/C][C]27.9159159170047[/C][C]1.08408408299529[/C][/ROW]
[ROW][C]62[/C][C]44[/C][C]37.9581084113725[/C][C]6.04189158862751[/C][/ROW]
[ROW][C]63[/C][C]21[/C][C]33.6585601597345[/C][C]-12.6585601597345[/C][/ROW]
[ROW][C]64[/C][C]16[/C][C]17.6743797361016[/C][C]-1.67437973610164[/C][/ROW]
[ROW][C]65[/C][C]28[/C][C]36.8305607958783[/C][C]-8.83056079587826[/C][/ROW]
[ROW][C]66[/C][C]35[/C][C]37.8342193951969[/C][C]-2.83421939519693[/C][/ROW]
[ROW][C]67[/C][C]28[/C][C]34.0188088467409[/C][C]-6.01880884674086[/C][/ROW]
[ROW][C]68[/C][C]38[/C][C]45.204103879329[/C][C]-7.20410387932903[/C][/ROW]
[ROW][C]69[/C][C]23[/C][C]42.2939338515422[/C][C]-19.2939338515422[/C][/ROW]
[ROW][C]70[/C][C]36[/C][C]28.953961526145[/C][C]7.04603847385497[/C][/ROW]
[ROW][C]71[/C][C]32[/C][C]30.3005147799066[/C][C]1.69948522009341[/C][/ROW]
[ROW][C]72[/C][C]29[/C][C]25.4404748833633[/C][C]3.55952511663668[/C][/ROW]
[ROW][C]73[/C][C]25[/C][C]27.409342959281[/C][C]-2.40934295928104[/C][/ROW]
[ROW][C]74[/C][C]27[/C][C]27.9700133789034[/C][C]-0.970013378903361[/C][/ROW]
[ROW][C]75[/C][C]36[/C][C]33.7155819577266[/C][C]2.28441804227342[/C][/ROW]
[ROW][C]76[/C][C]28[/C][C]32.9362742090529[/C][C]-4.93627420905285[/C][/ROW]
[ROW][C]77[/C][C]23[/C][C]35.1866820328275[/C][C]-12.1866820328275[/C][/ROW]
[ROW][C]78[/C][C]40[/C][C]35.8379199212646[/C][C]4.16208007873543[/C][/ROW]
[ROW][C]79[/C][C]23[/C][C]19.7318874862566[/C][C]3.2681125137434[/C][/ROW]
[ROW][C]80[/C][C]40[/C][C]30.7359458620711[/C][C]9.26405413792894[/C][/ROW]
[ROW][C]81[/C][C]28[/C][C]26.5595231927551[/C][C]1.44047680724488[/C][/ROW]
[ROW][C]82[/C][C]34[/C][C]29.4219410355171[/C][C]4.57805896448292[/C][/ROW]
[ROW][C]83[/C][C]33[/C][C]35.3484781700343[/C][C]-2.34847817003432[/C][/ROW]
[ROW][C]84[/C][C]28[/C][C]32.8906758548258[/C][C]-4.89067585482575[/C][/ROW]
[ROW][C]85[/C][C]34[/C][C]32.9917501202325[/C][C]1.00824987976752[/C][/ROW]
[ROW][C]86[/C][C]30[/C][C]29.7396367809481[/C][C]0.260363219051887[/C][/ROW]
[ROW][C]87[/C][C]33[/C][C]23.1049290039018[/C][C]9.89507099609822[/C][/ROW]
[ROW][C]88[/C][C]22[/C][C]22.29270979948[/C][C]-0.292709799480044[/C][/ROW]
[ROW][C]89[/C][C]38[/C][C]34.6394215494532[/C][C]3.36057845054679[/C][/ROW]
[ROW][C]90[/C][C]26[/C][C]22.6859280296622[/C][C]3.31407197033777[/C][/ROW]
[ROW][C]91[/C][C]35[/C][C]32.2260225510342[/C][C]2.7739774489658[/C][/ROW]
[ROW][C]92[/C][C]8[/C][C]20.5936440513836[/C][C]-12.5936440513836[/C][/ROW]
[ROW][C]93[/C][C]24[/C][C]15.3203640374329[/C][C]8.67963596256713[/C][/ROW]
[ROW][C]94[/C][C]29[/C][C]28.2937001025883[/C][C]0.706299897411746[/C][/ROW]
[ROW][C]95[/C][C]20[/C][C]20.2655606043141[/C][C]-0.26556060431414[/C][/ROW]
[ROW][C]96[/C][C]29[/C][C]25.4468466297573[/C][C]3.55315337024267[/C][/ROW]
[ROW][C]97[/C][C]45[/C][C]28.5446677181601[/C][C]16.4553322818399[/C][/ROW]
[ROW][C]98[/C][C]37[/C][C]34.2939214190013[/C][C]2.70607858099872[/C][/ROW]
[ROW][C]99[/C][C]33[/C][C]25.9122805819787[/C][C]7.08771941802133[/C][/ROW]
[ROW][C]100[/C][C]33[/C][C]35.0113246029624[/C][C]-2.01132460296238[/C][/ROW]
[ROW][C]101[/C][C]25[/C][C]24.0568536626449[/C][C]0.943146337355079[/C][/ROW]
[ROW][C]102[/C][C]32[/C][C]29.4627851906608[/C][C]2.53721480933921[/C][/ROW]
[ROW][C]103[/C][C]29[/C][C]28.8261445685107[/C][C]0.173855431489343[/C][/ROW]
[ROW][C]104[/C][C]28[/C][C]27.0655147421564[/C][C]0.934485257843592[/C][/ROW]
[ROW][C]105[/C][C]28[/C][C]32.1474974688464[/C][C]-4.1474974688464[/C][/ROW]
[ROW][C]106[/C][C]31[/C][C]39.3626738922829[/C][C]-8.36267389228293[/C][/ROW]
[ROW][C]107[/C][C]52[/C][C]42.325077194589[/C][C]9.67492280541097[/C][/ROW]
[ROW][C]108[/C][C]21[/C][C]17.5287197315124[/C][C]3.47128026848757[/C][/ROW]
[ROW][C]109[/C][C]24[/C][C]46.6935287204244[/C][C]-22.6935287204244[/C][/ROW]
[ROW][C]110[/C][C]41[/C][C]34.9970658670041[/C][C]6.00293413299591[/C][/ROW]
[ROW][C]111[/C][C]33[/C][C]36.7927137184009[/C][C]-3.7927137184009[/C][/ROW]
[ROW][C]112[/C][C]32[/C][C]19.7038920990967[/C][C]12.2961079009033[/C][/ROW]
[ROW][C]113[/C][C]19[/C][C]16.6473871655062[/C][C]2.35261283449375[/C][/ROW]
[ROW][C]114[/C][C]20[/C][C]28.4790061725004[/C][C]-8.47900617250039[/C][/ROW]
[ROW][C]115[/C][C]31[/C][C]28.5424927315889[/C][C]2.45750726841109[/C][/ROW]
[ROW][C]116[/C][C]31[/C][C]32.0766603283764[/C][C]-1.07666032837637[/C][/ROW]
[ROW][C]117[/C][C]32[/C][C]38.4162272614118[/C][C]-6.41622726141177[/C][/ROW]
[ROW][C]118[/C][C]18[/C][C]23.3788182784378[/C][C]-5.37881827843783[/C][/ROW]
[ROW][C]119[/C][C]23[/C][C]23.4255691194609[/C][C]-0.425569119460924[/C][/ROW]
[ROW][C]120[/C][C]17[/C][C]18.6119893546327[/C][C]-1.61198935463269[/C][/ROW]
[ROW][C]121[/C][C]20[/C][C]22.019224107336[/C][C]-2.01922410733595[/C][/ROW]
[ROW][C]122[/C][C]12[/C][C]15.5764450269292[/C][C]-3.57644502692919[/C][/ROW]
[ROW][C]123[/C][C]17[/C][C]21.6304448204609[/C][C]-4.63044482046089[/C][/ROW]
[ROW][C]124[/C][C]30[/C][C]26.0501249522643[/C][C]3.94987504773573[/C][/ROW]
[ROW][C]125[/C][C]31[/C][C]29.8028022923239[/C][C]1.19719770767607[/C][/ROW]
[ROW][C]126[/C][C]10[/C][C]19.6857772551298[/C][C]-9.68577725512985[/C][/ROW]
[ROW][C]127[/C][C]13[/C][C]19.2561954811087[/C][C]-6.25619548110873[/C][/ROW]
[ROW][C]128[/C][C]22[/C][C]21.66926966974[/C][C]0.330730330260037[/C][/ROW]
[ROW][C]129[/C][C]42[/C][C]35.0817438376144[/C][C]6.91825616238563[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]12.5172668360096[/C][C]-11.5172668360096[/C][/ROW]
[ROW][C]131[/C][C]9[/C][C]14.6197312087567[/C][C]-5.61973120875668[/C][/ROW]
[ROW][C]132[/C][C]32[/C][C]30.1845726390823[/C][C]1.81542736091772[/C][/ROW]
[ROW][C]133[/C][C]11[/C][C]18.327750869377[/C][C]-7.32775086937697[/C][/ROW]
[ROW][C]134[/C][C]25[/C][C]18.7185964107898[/C][C]6.28140358921016[/C][/ROW]
[ROW][C]135[/C][C]36[/C][C]23.6280333842402[/C][C]12.3719666157598[/C][/ROW]
[ROW][C]136[/C][C]31[/C][C]39.7170527106652[/C][C]-8.71705271066518[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]11.4539682646708[/C][C]-11.4539682646708[/C][/ROW]
[ROW][C]138[/C][C]24[/C][C]29.9087371868199[/C][C]-5.90873718681987[/C][/ROW]
[ROW][C]139[/C][C]13[/C][C]12.8574062097051[/C][C]0.142593790294891[/C][/ROW]
[ROW][C]140[/C][C]8[/C][C]13.7805895886037[/C][C]-5.78058958860368[/C][/ROW]
[ROW][C]141[/C][C]13[/C][C]13.5277802870742[/C][C]-0.5277802870742[/C][/ROW]
[ROW][C]142[/C][C]19[/C][C]23.1263918079812[/C][C]-4.12639180798125[/C][/ROW]
[ROW][C]143[/C][C]18[/C][C]12.0757816389902[/C][C]5.9242183610098[/C][/ROW]
[ROW][C]144[/C][C]33[/C][C]34.1069886267398[/C][C]-1.10698862673979[/C][/ROW]
[ROW][C]145[/C][C]40[/C][C]29.0055847454897[/C][C]10.9944152545103[/C][/ROW]
[ROW][C]146[/C][C]22[/C][C]16.3661309969651[/C][C]5.63386900303487[/C][/ROW]
[ROW][C]147[/C][C]38[/C][C]22.488839694638[/C][C]15.511160305362[/C][/ROW]
[ROW][C]148[/C][C]24[/C][C]19.1632102724247[/C][C]4.83678972757531[/C][/ROW]
[ROW][C]149[/C][C]8[/C][C]13.5520782586514[/C][C]-5.5520782586514[/C][/ROW]
[ROW][C]150[/C][C]35[/C][C]22.5975062976813[/C][C]12.4024937023187[/C][/ROW]
[ROW][C]151[/C][C]43[/C][C]32.1852433563295[/C][C]10.8147566436705[/C][/ROW]
[ROW][C]152[/C][C]43[/C][C]23.521357234186[/C][C]19.478642765814[/C][/ROW]
[ROW][C]153[/C][C]14[/C][C]20.2035678604564[/C][C]-6.20356786045636[/C][/ROW]
[ROW][C]154[/C][C]41[/C][C]40.8573733408509[/C][C]0.142626659149071[/C][/ROW]
[ROW][C]155[/C][C]38[/C][C]39.1951682525414[/C][C]-1.19516825254136[/C][/ROW]
[ROW][C]156[/C][C]45[/C][C]44.4254540426257[/C][C]0.574545957374294[/C][/ROW]
[ROW][C]157[/C][C]31[/C][C]24.6006129649945[/C][C]6.39938703500546[/C][/ROW]
[ROW][C]158[/C][C]13[/C][C]15.8651012259834[/C][C]-2.86510122598338[/C][/ROW]
[ROW][C]159[/C][C]28[/C][C]18.1573644260415[/C][C]9.84263557395849[/C][/ROW]
[ROW][C]160[/C][C]31[/C][C]27.0745917682414[/C][C]3.92540823175858[/C][/ROW]
[ROW][C]161[/C][C]40[/C][C]36.9295300767336[/C][C]3.07046992326642[/C][/ROW]
[ROW][C]162[/C][C]30[/C][C]21.5997735177465[/C][C]8.40022648225348[/C][/ROW]
[ROW][C]163[/C][C]16[/C][C]18.391893005337[/C][C]-2.39189300533701[/C][/ROW]
[ROW][C]164[/C][C]37[/C][C]33.3749500314743[/C][C]3.62504996852566[/C][/ROW]
[ROW][C]165[/C][C]30[/C][C]23.3760883937284[/C][C]6.62391160627156[/C][/ROW]
[ROW][C]166[/C][C]35[/C][C]30.7996733430272[/C][C]4.20032665697281[/C][/ROW]
[ROW][C]167[/C][C]32[/C][C]26.1311208201685[/C][C]5.86887917983155[/C][/ROW]
[ROW][C]168[/C][C]27[/C][C]15.7871358850836[/C][C]11.2128641149164[/C][/ROW]
[ROW][C]169[/C][C]20[/C][C]22.0062437854744[/C][C]-2.00624378547443[/C][/ROW]
[ROW][C]170[/C][C]18[/C][C]21.461674299029[/C][C]-3.461674299029[/C][/ROW]
[ROW][C]171[/C][C]31[/C][C]36.3705074105384[/C][C]-5.37050741053838[/C][/ROW]
[ROW][C]172[/C][C]31[/C][C]33.3169955865158[/C][C]-2.31699558651579[/C][/ROW]
[ROW][C]173[/C][C]21[/C][C]19.2207989162183[/C][C]1.77920108378174[/C][/ROW]
[ROW][C]174[/C][C]39[/C][C]42.2120430772346[/C][C]-3.21204307723458[/C][/ROW]
[ROW][C]175[/C][C]41[/C][C]36.6285493387128[/C][C]4.37145066128719[/C][/ROW]
[ROW][C]176[/C][C]13[/C][C]17.6224116653419[/C][C]-4.6224116653419[/C][/ROW]
[ROW][C]177[/C][C]32[/C][C]31.3814087356096[/C][C]0.618591264390444[/C][/ROW]
[ROW][C]178[/C][C]18[/C][C]15.5027891053202[/C][C]2.49721089467976[/C][/ROW]
[ROW][C]179[/C][C]39[/C][C]37.6833396273413[/C][C]1.31666037265869[/C][/ROW]
[ROW][C]180[/C][C]14[/C][C]21.4444905172855[/C][C]-7.44449051728548[/C][/ROW]
[ROW][C]181[/C][C]7[/C][C]19.1151261730986[/C][C]-12.1151261730986[/C][/ROW]
[ROW][C]182[/C][C]17[/C][C]19.5721453430942[/C][C]-2.57214534309421[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]11.5324574301335[/C][C]-11.5324574301335[/C][/ROW]
[ROW][C]184[/C][C]30[/C][C]23.890571394363[/C][C]6.10942860563701[/C][/ROW]
[ROW][C]185[/C][C]37[/C][C]35.1379890992796[/C][C]1.86201090072042[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]11.7298042281942[/C][C]-11.7298042281942[/C][/ROW]
[ROW][C]187[/C][C]5[/C][C]13.441209919758[/C][C]-8.44120991975803[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]10.961091801159[/C][C]-9.96109180115901[/C][/ROW]
[ROW][C]189[/C][C]16[/C][C]20.3659622298701[/C][C]-4.36596222987008[/C][/ROW]
[ROW][C]190[/C][C]32[/C][C]16.4849494620239[/C][C]15.5150505379761[/C][/ROW]
[ROW][C]191[/C][C]24[/C][C]21.6380019586567[/C][C]2.36199804134332[/C][/ROW]
[ROW][C]192[/C][C]17[/C][C]14.3614118569933[/C][C]2.63858814300668[/C][/ROW]
[ROW][C]193[/C][C]11[/C][C]20.466159526904[/C][C]-9.46615952690399[/C][/ROW]
[ROW][C]194[/C][C]24[/C][C]17.5500070523529[/C][C]6.44999294764707[/C][/ROW]
[ROW][C]195[/C][C]22[/C][C]23.7076528988675[/C][C]-1.70765289886752[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]22.0573473467856[/C][C]-10.0573473467856[/C][/ROW]
[ROW][C]197[/C][C]19[/C][C]14.0470707386627[/C][C]4.95292926133732[/C][/ROW]
[ROW][C]198[/C][C]13[/C][C]16.4327971374407[/C][C]-3.43279713744074[/C][/ROW]
[ROW][C]199[/C][C]17[/C][C]18.3117941474329[/C][C]-1.31179414743289[/C][/ROW]
[ROW][C]200[/C][C]15[/C][C]17.4104059651046[/C][C]-2.4104059651046[/C][/ROW]
[ROW][C]201[/C][C]16[/C][C]17.1827547796407[/C][C]-1.18275477964065[/C][/ROW]
[ROW][C]202[/C][C]24[/C][C]14.3592454019118[/C][C]9.64075459808821[/C][/ROW]
[ROW][C]203[/C][C]15[/C][C]17.9090483601006[/C][C]-2.90904836010057[/C][/ROW]
[ROW][C]204[/C][C]17[/C][C]17.6425006572668[/C][C]-0.64250065726681[/C][/ROW]
[ROW][C]205[/C][C]18[/C][C]18.4800903671687[/C][C]-0.480090367168693[/C][/ROW]
[ROW][C]206[/C][C]20[/C][C]12.6820858844465[/C][C]7.31791411555346[/C][/ROW]
[ROW][C]207[/C][C]16[/C][C]16.3006021117367[/C][C]-0.300602111736734[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]18.8946082627164[/C][C]-2.89460826271641[/C][/ROW]
[ROW][C]209[/C][C]18[/C][C]17.7465199363507[/C][C]0.25348006364926[/C][/ROW]
[ROW][C]210[/C][C]22[/C][C]20.3788835816599[/C][C]1.62111641834012[/C][/ROW]
[ROW][C]211[/C][C]8[/C][C]20.0661342177401[/C][C]-12.0661342177401[/C][/ROW]
[ROW][C]212[/C][C]17[/C][C]17.7400094984942[/C][C]-0.74000949849421[/C][/ROW]
[ROW][C]213[/C][C]18[/C][C]14.57480081659[/C][C]3.42519918340995[/C][/ROW]
[ROW][C]214[/C][C]16[/C][C]17.6357151715841[/C][C]-1.63571517158413[/C][/ROW]
[ROW][C]215[/C][C]23[/C][C]16.5261465625466[/C][C]6.47385343745339[/C][/ROW]
[ROW][C]216[/C][C]22[/C][C]14.0080825522388[/C][C]7.99191744776121[/C][/ROW]
[ROW][C]217[/C][C]13[/C][C]15.8707929889184[/C][C]-2.87079298891837[/C][/ROW]
[ROW][C]218[/C][C]13[/C][C]19.3405047456413[/C][C]-6.34050474564132[/C][/ROW]
[ROW][C]219[/C][C]16[/C][C]18.8629524068134[/C][C]-2.86295240681337[/C][/ROW]
[ROW][C]220[/C][C]16[/C][C]13.9509755537496[/C][C]2.04902444625045[/C][/ROW]
[ROW][C]221[/C][C]20[/C][C]16.9218495153059[/C][C]3.07815048469408[/C][/ROW]
[ROW][C]222[/C][C]22[/C][C]24.3002139405337[/C][C]-2.30021394053365[/C][/ROW]
[ROW][C]223[/C][C]17[/C][C]22.3310580856994[/C][C]-5.33105808569941[/C][/ROW]
[ROW][C]224[/C][C]18[/C][C]16.2473429288612[/C][C]1.75265707113879[/C][/ROW]
[ROW][C]225[/C][C]17[/C][C]11.4440919286711[/C][C]5.55590807132891[/C][/ROW]
[ROW][C]226[/C][C]12[/C][C]21.4584795598284[/C][C]-9.4584795598284[/C][/ROW]
[ROW][C]227[/C][C]7[/C][C]15.6364129858159[/C][C]-8.63641298581594[/C][/ROW]
[ROW][C]228[/C][C]17[/C][C]17.6480576561739[/C][C]-0.648057656173866[/C][/ROW]
[ROW][C]229[/C][C]14[/C][C]17.1247595417358[/C][C]-3.12475954173578[/C][/ROW]
[ROW][C]230[/C][C]23[/C][C]17.0717583437071[/C][C]5.92824165629287[/C][/ROW]
[ROW][C]231[/C][C]17[/C][C]11.5801750516742[/C][C]5.41982494832581[/C][/ROW]
[ROW][C]232[/C][C]14[/C][C]18.1545101326318[/C][C]-4.15451013263178[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]18.1850167856243[/C][C]-3.18501678562433[/C][/ROW]
[ROW][C]234[/C][C]17[/C][C]14.0205954784868[/C][C]2.97940452151321[/C][/ROW]
[ROW][C]235[/C][C]21[/C][C]15.637743265471[/C][C]5.36225673452902[/C][/ROW]
[ROW][C]236[/C][C]18[/C][C]17.1215030522464[/C][C]0.878496947753643[/C][/ROW]
[ROW][C]237[/C][C]18[/C][C]16.1053429961534[/C][C]1.89465700384661[/C][/ROW]
[ROW][C]238[/C][C]17[/C][C]15.1829614682919[/C][C]1.81703853170811[/C][/ROW]
[ROW][C]239[/C][C]17[/C][C]16.5782025733567[/C][C]0.42179742664328[/C][/ROW]
[ROW][C]240[/C][C]16[/C][C]13.36579180208[/C][C]2.63420819792003[/C][/ROW]
[ROW][C]241[/C][C]15[/C][C]15.340819746238[/C][C]-0.340819746238017[/C][/ROW]
[ROW][C]242[/C][C]21[/C][C]17.9807444571775[/C][C]3.01925554282247[/C][/ROW]
[ROW][C]243[/C][C]16[/C][C]16.113048949637[/C][C]-0.113048949637032[/C][/ROW]
[ROW][C]244[/C][C]14[/C][C]16.1957137191492[/C][C]-2.19571371914917[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]15.856784143843[/C][C]-0.856784143842984[/C][/ROW]
[ROW][C]246[/C][C]17[/C][C]17.7402516082432[/C][C]-0.740251608243213[/C][/ROW]
[ROW][C]247[/C][C]15[/C][C]21.0810187977204[/C][C]-6.08101879772035[/C][/ROW]
[ROW][C]248[/C][C]15[/C][C]14.5154087462554[/C][C]0.484591253744617[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]14.6860490079083[/C][C]-4.68604900790834[/C][/ROW]
[ROW][C]250[/C][C]6[/C][C]14.3865070755525[/C][C]-8.38650707555253[/C][/ROW]
[ROW][C]251[/C][C]22[/C][C]17.9674455549903[/C][C]4.03255444500966[/C][/ROW]
[ROW][C]252[/C][C]21[/C][C]19.1051712629255[/C][C]1.89482873707449[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]12.8778404905707[/C][C]-11.8778404905707[/C][/ROW]
[ROW][C]254[/C][C]18[/C][C]14.415234031971[/C][C]3.58476596802897[/C][/ROW]
[ROW][C]255[/C][C]17[/C][C]15.277990587859[/C][C]1.72200941214104[/C][/ROW]
[ROW][C]256[/C][C]4[/C][C]11.8209436250551[/C][C]-7.82094362505511[/C][/ROW]
[ROW][C]257[/C][C]10[/C][C]15.2673522449819[/C][C]-5.26735224498185[/C][/ROW]
[ROW][C]258[/C][C]16[/C][C]15.5046784496429[/C][C]0.495321550357117[/C][/ROW]
[ROW][C]259[/C][C]16[/C][C]14.4728194580218[/C][C]1.52718054197817[/C][/ROW]
[ROW][C]260[/C][C]9[/C][C]14.0303845103927[/C][C]-5.03038451039273[/C][/ROW]
[ROW][C]261[/C][C]16[/C][C]10.92423780836[/C][C]5.07576219164004[/C][/ROW]
[ROW][C]262[/C][C]17[/C][C]18.6208217298464[/C][C]-1.62082172984639[/C][/ROW]
[ROW][C]263[/C][C]7[/C][C]11.3940853078504[/C][C]-4.39408530785039[/C][/ROW]
[ROW][C]264[/C][C]15[/C][C]17.0702274238699[/C][C]-2.07022742386987[/C][/ROW]
[ROW][C]265[/C][C]14[/C][C]13.9577640180802[/C][C]0.0422359819197858[/C][/ROW]
[ROW][C]266[/C][C]14[/C][C]18.1840847746144[/C][C]-4.18408477461438[/C][/ROW]
[ROW][C]267[/C][C]18[/C][C]17.3433767960886[/C][C]0.656623203911436[/C][/ROW]
[ROW][C]268[/C][C]12[/C][C]15.7936341031107[/C][C]-3.79363410311074[/C][/ROW]
[ROW][C]269[/C][C]16[/C][C]17.9109874663848[/C][C]-1.91098746638484[/C][/ROW]
[ROW][C]270[/C][C]21[/C][C]17.5820263743221[/C][C]3.41797362567793[/C][/ROW]
[ROW][C]271[/C][C]19[/C][C]15.452081073101[/C][C]3.54791892689901[/C][/ROW]
[ROW][C]272[/C][C]16[/C][C]14.8817990099775[/C][C]1.11820099002253[/C][/ROW]
[ROW][C]273[/C][C]1[/C][C]11.4802428846645[/C][C]-10.4802428846645[/C][/ROW]
[ROW][C]274[/C][C]16[/C][C]20.1646192790974[/C][C]-4.1646192790974[/C][/ROW]
[ROW][C]275[/C][C]10[/C][C]15.2787311667968[/C][C]-5.27873116679678[/C][/ROW]
[ROW][C]276[/C][C]19[/C][C]21.6683674197283[/C][C]-2.6683674197283[/C][/ROW]
[ROW][C]277[/C][C]12[/C][C]13.6083375715765[/C][C]-1.60833757157654[/C][/ROW]
[ROW][C]278[/C][C]2[/C][C]13.2754581836907[/C][C]-11.2754581836907[/C][/ROW]
[ROW][C]279[/C][C]14[/C][C]19.7955011935987[/C][C]-5.79550119359866[/C][/ROW]
[ROW][C]280[/C][C]17[/C][C]14.4692114501296[/C][C]2.5307885498704[/C][/ROW]
[ROW][C]281[/C][C]19[/C][C]15.6658742917101[/C][C]3.33412570828986[/C][/ROW]
[ROW][C]282[/C][C]14[/C][C]14.3514505189273[/C][C]-0.351450518927258[/C][/ROW]
[ROW][C]283[/C][C]11[/C][C]18.102535633979[/C][C]-7.10253563397904[/C][/ROW]
[ROW][C]284[/C][C]4[/C][C]12.7672518035585[/C][C]-8.76725180355854[/C][/ROW]
[ROW][C]285[/C][C]16[/C][C]12.9849561728134[/C][C]3.01504382718661[/C][/ROW]
[ROW][C]286[/C][C]20[/C][C]13.3345070280174[/C][C]6.66549297198259[/C][/ROW]
[ROW][C]287[/C][C]12[/C][C]14.0330819352146[/C][C]-2.03308193521455[/C][/ROW]
[ROW][C]288[/C][C]15[/C][C]16.6101620502028[/C][C]-1.6101620502028[/C][/ROW]
[ROW][C]289[/C][C]16[/C][C]14.9816024033265[/C][C]1.01839759667346[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154289&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154289&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
13032.4737176035878-2.47371760358782
22827.53045415262350.469545847376463
33833.44392183734754.55607816265252
43032.7903753455288-2.79037534552878
52222.7705986566643-0.770598656664271
62615.401761424796310.5982385752037
72538.8260347294704-13.8260347294704
81811.0515825272316.94841747276903
91114.5517435185465-3.55174351854655
102626.0912582395654-0.0912582395654291
112525.123865921526-0.123865921526042
123829.81568261207268.18431738792738
134432.469335170557911.5306648294421
143025.66555583292294.33444416707711
154032.80795926041927.19204073958076
163432.05946808887851.94053191112151
174741.35315128554055.64684871445955
183035.8730008438134-5.87300084381345
193130.21256687143210.787433128567854
202327.4657888280571-4.4657888280571
213638.2390888223956-2.23908882239563
223631.68084399886474.31915600113525
233029.93128169224850.0687183077515231
242527.250706361834-2.25070636183402
253932.17415702350966.82584297649039
263432.61566289811281.38433710188717
273126.44485910223724.55514089776282
283133.4252328880026-2.42523288800258
293332.83784141011560.162158589884432
302520.20514691684824.79485308315182
313335.6136216561661-2.61362165616614
323534.58194441791010.418055582089906
334224.626220976168617.3737790238314
344336.73870796622026.26129203377977
353020.55061550312789.44938449687221
363337.0769381930606-4.0769381930606
371318.5603046240939-5.56030462409395
383225.45946690172646.54053309827359
393631.57311559562964.42688440437038
40010.6225446194-10.6225446194
412825.31376891747932.68623108252066
421419.3227770570437-5.32277705704371
431718.1951757521533-1.19517575215326
443233.4781884499351-1.47818844993507
453040.2677836983505-10.2677836983505
463527.11698458282217.88301541717787
472021.3906337788235-1.39063377882355
482829.0328807435199-1.0328807435199
492821.82793789268716.17206210731288
503920.638312053079218.3616879469208
513427.31526220401146.68473779598864
522618.23074025824367.7692597417564
533928.622290748767110.3777092512329
543942.343834042357-3.34383404235705
553329.85993505064163.14006494935841
562828.5939973341697-0.593997334169718
57412.5055861577535-8.50558615775353
583936.96861159828252.03138840171747
591818.8744165697894-0.874416569789379
601419.7548487096219-5.75484870962186
612927.91591591700471.08408408299529
624437.95810841137256.04189158862751
632133.6585601597345-12.6585601597345
641617.6743797361016-1.67437973610164
652836.8305607958783-8.83056079587826
663537.8342193951969-2.83421939519693
672834.0188088467409-6.01880884674086
683845.204103879329-7.20410387932903
692342.2939338515422-19.2939338515422
703628.9539615261457.04603847385497
713230.30051477990661.69948522009341
722925.44047488336333.55952511663668
732527.409342959281-2.40934295928104
742727.9700133789034-0.970013378903361
753633.71558195772662.28441804227342
762832.9362742090529-4.93627420905285
772335.1866820328275-12.1866820328275
784035.83791992126464.16208007873543
792319.73188748625663.2681125137434
804030.73594586207119.26405413792894
812826.55952319275511.44047680724488
823429.42194103551714.57805896448292
833335.3484781700343-2.34847817003432
842832.8906758548258-4.89067585482575
853432.99175012023251.00824987976752
863029.73963678094810.260363219051887
873323.10492900390189.89507099609822
882222.29270979948-0.292709799480044
893834.63942154945323.36057845054679
902622.68592802966223.31407197033777
913532.22602255103422.7739774489658
92820.5936440513836-12.5936440513836
932415.32036403743298.67963596256713
942928.29370010258830.706299897411746
952020.2655606043141-0.26556060431414
962925.44684662975733.55315337024267
974528.544667718160116.4553322818399
983734.29392141900132.70607858099872
993325.91228058197877.08771941802133
1003335.0113246029624-2.01132460296238
1012524.05685366264490.943146337355079
1023229.46278519066082.53721480933921
1032928.82614456851070.173855431489343
1042827.06551474215640.934485257843592
1052832.1474974688464-4.1474974688464
1063139.3626738922829-8.36267389228293
1075242.3250771945899.67492280541097
1082117.52871973151243.47128026848757
1092446.6935287204244-22.6935287204244
1104134.99706586700416.00293413299591
1113336.7927137184009-3.7927137184009
1123219.703892099096712.2961079009033
1131916.64738716550622.35261283449375
1142028.4790061725004-8.47900617250039
1153128.54249273158892.45750726841109
1163132.0766603283764-1.07666032837637
1173238.4162272614118-6.41622726141177
1181823.3788182784378-5.37881827843783
1192323.4255691194609-0.425569119460924
1201718.6119893546327-1.61198935463269
1212022.019224107336-2.01922410733595
1221215.5764450269292-3.57644502692919
1231721.6304448204609-4.63044482046089
1243026.05012495226433.94987504773573
1253129.80280229232391.19719770767607
1261019.6857772551298-9.68577725512985
1271319.2561954811087-6.25619548110873
1282221.669269669740.330730330260037
1294235.08174383761446.91825616238563
130112.5172668360096-11.5172668360096
131914.6197312087567-5.61973120875668
1323230.18457263908231.81542736091772
1331118.327750869377-7.32775086937697
1342518.71859641078986.28140358921016
1353623.628033384240212.3719666157598
1363139.7170527106652-8.71705271066518
137011.4539682646708-11.4539682646708
1382429.9087371868199-5.90873718681987
1391312.85740620970510.142593790294891
140813.7805895886037-5.78058958860368
1411313.5277802870742-0.5277802870742
1421923.1263918079812-4.12639180798125
1431812.07578163899025.9242183610098
1443334.1069886267398-1.10698862673979
1454029.005584745489710.9944152545103
1462216.36613099696515.63386900303487
1473822.48883969463815.511160305362
1482419.16321027242474.83678972757531
149813.5520782586514-5.5520782586514
1503522.597506297681312.4024937023187
1514332.185243356329510.8147566436705
1524323.52135723418619.478642765814
1531420.2035678604564-6.20356786045636
1544140.85737334085090.142626659149071
1553839.1951682525414-1.19516825254136
1564544.42545404262570.574545957374294
1573124.60061296499456.39938703500546
1581315.8651012259834-2.86510122598338
1592818.15736442604159.84263557395849
1603127.07459176824143.92540823175858
1614036.92953007673363.07046992326642
1623021.59977351774658.40022648225348
1631618.391893005337-2.39189300533701
1643733.37495003147433.62504996852566
1653023.37608839372846.62391160627156
1663530.79967334302724.20032665697281
1673226.13112082016855.86887917983155
1682715.787135885083611.2128641149164
1692022.0062437854744-2.00624378547443
1701821.461674299029-3.461674299029
1713136.3705074105384-5.37050741053838
1723133.3169955865158-2.31699558651579
1732119.22079891621831.77920108378174
1743942.2120430772346-3.21204307723458
1754136.62854933871284.37145066128719
1761317.6224116653419-4.6224116653419
1773231.38140873560960.618591264390444
1781815.50278910532022.49721089467976
1793937.68333962734131.31666037265869
1801421.4444905172855-7.44449051728548
181719.1151261730986-12.1151261730986
1821719.5721453430942-2.57214534309421
183011.5324574301335-11.5324574301335
1843023.8905713943636.10942860563701
1853735.13798909927961.86201090072042
186011.7298042281942-11.7298042281942
187513.441209919758-8.44120991975803
188110.961091801159-9.96109180115901
1891620.3659622298701-4.36596222987008
1903216.484949462023915.5150505379761
1912421.63800195865672.36199804134332
1921714.36141185699332.63858814300668
1931120.466159526904-9.46615952690399
1942417.55000705235296.44999294764707
1952223.7076528988675-1.70765289886752
1961222.0573473467856-10.0573473467856
1971914.04707073866274.95292926133732
1981316.4327971374407-3.43279713744074
1991718.3117941474329-1.31179414743289
2001517.4104059651046-2.4104059651046
2011617.1827547796407-1.18275477964065
2022414.35924540191189.64075459808821
2031517.9090483601006-2.90904836010057
2041717.6425006572668-0.64250065726681
2051818.4800903671687-0.480090367168693
2062012.68208588444657.31791411555346
2071616.3006021117367-0.300602111736734
2081618.8946082627164-2.89460826271641
2091817.74651993635070.25348006364926
2102220.37888358165991.62111641834012
211820.0661342177401-12.0661342177401
2121717.7400094984942-0.74000949849421
2131814.574800816593.42519918340995
2141617.6357151715841-1.63571517158413
2152316.52614656254666.47385343745339
2162214.00808255223887.99191744776121
2171315.8707929889184-2.87079298891837
2181319.3405047456413-6.34050474564132
2191618.8629524068134-2.86295240681337
2201613.95097555374962.04902444625045
2212016.92184951530593.07815048469408
2222224.3002139405337-2.30021394053365
2231722.3310580856994-5.33105808569941
2241816.24734292886121.75265707113879
2251711.44409192867115.55590807132891
2261221.4584795598284-9.4584795598284
227715.6364129858159-8.63641298581594
2281717.6480576561739-0.648057656173866
2291417.1247595417358-3.12475954173578
2302317.07175834370715.92824165629287
2311711.58017505167425.41982494832581
2321418.1545101326318-4.15451013263178
2331518.1850167856243-3.18501678562433
2341714.02059547848682.97940452151321
2352115.6377432654715.36225673452902
2361817.12150305224640.878496947753643
2371816.10534299615341.89465700384661
2381715.18296146829191.81703853170811
2391716.57820257335670.42179742664328
2401613.365791802082.63420819792003
2411515.340819746238-0.340819746238017
2422117.98074445717753.01925554282247
2431616.113048949637-0.113048949637032
2441416.1957137191492-2.19571371914917
2451515.856784143843-0.856784143842984
2461717.7402516082432-0.740251608243213
2471521.0810187977204-6.08101879772035
2481514.51540874625540.484591253744617
2491014.6860490079083-4.68604900790834
250614.3865070755525-8.38650707555253
2512217.96744555499034.03255444500966
2522119.10517126292551.89482873707449
253112.8778404905707-11.8778404905707
2541814.4152340319713.58476596802897
2551715.2779905878591.72200941214104
256411.8209436250551-7.82094362505511
2571015.2673522449819-5.26735224498185
2581615.50467844964290.495321550357117
2591614.47281945802181.52718054197817
260914.0303845103927-5.03038451039273
2611610.924237808365.07576219164004
2621718.6208217298464-1.62082172984639
263711.3940853078504-4.39408530785039
2641517.0702274238699-2.07022742386987
2651413.95776401808020.0422359819197858
2661418.1840847746144-4.18408477461438
2671817.34337679608860.656623203911436
2681215.7936341031107-3.79363410311074
2691617.9109874663848-1.91098746638484
2702117.58202637432213.41797362567793
2711915.4520810731013.54791892689901
2721614.88179900997751.11820099002253
273111.4802428846645-10.4802428846645
2741620.1646192790974-4.1646192790974
2751015.2787311667968-5.27873116679678
2761921.6683674197283-2.6683674197283
2771213.6083375715765-1.60833757157654
278213.2754581836907-11.2754581836907
2791419.7955011935987-5.79550119359866
2801714.46921145012962.5307885498704
2811915.66587429171013.33412570828986
2821414.3514505189273-0.351450518927258
2831118.102535633979-7.10253563397904
284412.7672518035585-8.76725180355854
2851612.98495617281343.01504382718661
2862013.33450702801746.66549297198259
2871214.0330819352146-2.03308193521455
2881516.6101620502028-1.6101620502028
2891614.98160240332651.01839759667346






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.05789068976342640.1157813795268530.942109310236574
80.02932865672125280.05865731344250560.970671343278747
90.1640455167521150.328091033504230.835954483247885
100.1037582884186830.2075165768373660.896241711581317
110.07174780667810350.1434956133562070.928252193321897
120.3757449920460930.7514899840921860.624255007953907
130.5460294637410370.9079410725179270.453970536258963
140.4579404137871340.9158808275742670.542059586212866
150.46870440843990.9374088168797990.5312955915601
160.397867652689340.7957353053786790.60213234731066
170.4211690782017080.8423381564034160.578830921798292
180.4157588212917850.831517642583570.584241178708215
190.3404694107071880.6809388214143760.659530589292812
200.3248084513830490.6496169027660970.675191548616951
210.3137385207953730.6274770415907460.686261479204627
220.29639946962240.5927989392447990.7036005303776
230.2403971070185870.4807942140371740.759602892981413
240.203833691276590.407667382553180.79616630872341
250.169774466899910.3395489337998190.83022553310009
260.1332737739041530.2665475478083060.866726226095847
270.1165179338850330.2330358677700670.883482066114967
280.09051461651492410.1810292330298480.909485383485076
290.06787814966604550.1357562993320910.932121850333955
300.05087419006102810.1017483801220560.949125809938972
310.03821672399748510.07643344799497020.961783276002515
320.02821968548570130.05643937097140250.971780314514299
330.1530238973995240.3060477947990480.846976102600476
340.1864895890881070.3729791781762150.813510410911893
350.1668390816476850.3336781632953710.833160918352315
360.1379059591002040.2758119182004080.862094040899796
370.1674532620879470.3349065241758940.832546737912053
380.1554988962467880.3109977924935760.844501103753212
390.1619901019835340.3239802039670670.838009898016466
400.3690447585226230.7380895170452460.630955241477377
410.3239470316606150.647894063321230.676052968339385
420.3343123926015490.6686247852030980.665687607398451
430.3026726981487760.6053453962975520.697327301851224
440.2640408288885750.528081657777150.735959171111425
450.4216861883902970.8433723767805940.578313811609703
460.4144259329777890.8288518659555780.585574067022211
470.3813516676857420.7627033353714850.618648332314258
480.3416314239833420.6832628479666840.658368576016658
490.3162745066936980.6325490133873970.683725493306302
500.6066959582720660.7866080834558670.393304041727934
510.5914870519633410.8170258960733190.408512948036659
520.5805094072133970.8389811855732050.419490592786603
530.6275830752738370.7448338494523250.372416924726163
540.5961835690820550.807632861835890.403816430917945
550.5564192407405890.8871615185188210.443580759259411
560.5139023782686780.9721952434626430.486097621731322
570.6220172250817290.7559655498365430.377982774918271
580.58412311489380.8317537702123990.4158768851062
590.5605630089162110.8788739821675780.439436991083789
600.5832015125878790.8335969748242420.416798487412121
610.5420559722931320.9158880554137360.457944027706868
620.5363467235241910.9273065529516180.463653276475809
630.6481251433069050.703749713386190.351874856693095
640.620058749556150.7598825008877010.37994125044385
650.6491032656764430.7017934686471150.350896734323557
660.6144703544827710.7710592910344580.385529645517229
670.6462553778031780.7074892443936440.353744622196822
680.6452710790689630.7094578418620750.354728920931037
690.8442079598728350.3115840802543290.155792040127165
700.843833315639490.3123333687210190.15616668436051
710.8207567006674120.3584865986651750.179243299332588
720.8067642460303790.3864715079392430.193235753969621
730.7838467500508580.4323064998982840.216153249949142
740.7586181018446080.4827637963107830.241381898155392
750.7316342795408050.536731440918390.268365720459195
760.7294207068267420.5411585863465160.270579293173258
770.8143718353777280.3712563292445450.185628164622273
780.7988720246354270.4022559507291470.201127975364573
790.7745947267591450.450810546481710.225405273240855
800.8001216893615540.3997566212768920.199878310638446
810.7732620085200910.4534759829598170.226737991479909
820.7559486022614470.4881027954771050.244051397738553
830.7298257545192910.5403484909614180.270174245480709
840.7151965413575440.5696069172849130.284803458642456
850.6839881236645170.6320237526709670.316011876335483
860.6505695460464520.6988609079070970.349430453953548
870.6811802833286030.6376394333427930.318819716671397
880.6509659811238080.6980680377523850.349034018876192
890.6292842578931360.7414314842137270.370715742106864
900.5991845759836660.8016308480326680.400815424016334
910.5697839418736010.8604321162527980.430216058126399
920.7048632699184590.5902734601630810.295136730081541
930.710524231597890.5789515368042190.28947576840211
940.6794205116006880.6411589767986250.320579488399312
950.6497648602360080.7004702795279840.350235139763992
960.6238074355224330.7523851289551330.376192564477566
970.7938592269394880.4122815461210240.206140773060512
980.7718428204668410.4563143590663180.228157179533159
990.7721584536756540.4556830926486920.227841546324346
1000.7472569287082810.5054861425834380.252743071291719
1010.7194390903038620.5611218193922750.280560909696138
1020.6921819204156340.6156361591687330.307818079584366
1030.6606341890218310.6787316219563380.339365810978169
1040.6283050595089250.743389880982150.371694940491075
1050.6082867362489550.7834265275020890.391713263751045
1060.6220935767273290.7558128465453420.377906423272671
1070.6848473675557570.6303052648884850.315152632444243
1080.6579778142099790.6840443715800410.342022185790021
1090.9049947721455330.1900104557089340.0950052278544668
1100.9034589622086360.1930820755827280.0965410377913638
1110.8935289666766090.2129420666467810.106471033323391
1120.922614056093840.154771887812320.0773859439061598
1130.9120615598626820.1758768802746360.0879384401373182
1140.927130561166520.1457388776669590.0728694388334795
1150.9157739079531330.1684521840937350.0842260920468675
1160.9024854083963280.1950291832073440.0975145916036722
1170.9039578148743440.1920843702513120.0960421851256562
1180.9051214820491220.1897570359017550.0948785179508776
1190.8902416858983870.2195166282032260.109758314101613
1200.8797387741755690.2405224516488630.120261225824431
1210.8671392859677410.2657214280645180.132860714032259
1220.8639689607840560.2720620784318870.136031039215944
1230.8619684470573090.2760631058853820.138031552942691
1240.8473871953723530.3052256092552950.152612804627647
1250.8270874874270530.3458250251458950.172912512572947
1260.8683253942899540.2633492114200920.131674605710046
1270.8755979117741540.2488041764516920.124402088225846
1280.857863277506650.28427344498670.14213672249335
1290.8608368562273940.2783262875452110.139163143772606
1300.9117927697753250.1764144604493490.0882072302246746
1310.9136136755334840.1727726489330330.0863863244665164
1320.9003560436923810.1992879126152380.0996439563076189
1330.9095324714416850.1809350571166310.0904675285583153
1340.907688402701110.1846231945977810.0923115972988903
1350.9403136091917750.119372781616450.0596863908082249
1360.9532096696267330.09358066074653290.0467903303732665
1370.9722702375699860.05545952486002830.0277297624300142
1380.9740112438623540.05197751227529140.0259887561376457
1390.9688591461584920.0622817076830150.0311408538415075
1400.9687799470517930.06244010589641460.0312200529482073
1410.9627307008720530.07453859825589350.0372692991279468
1420.9592286521467790.08154269570644110.0407713478532206
1430.958243493116470.08351301376706030.0417565068835302
1440.9516014937382530.09679701252349470.0483985062617474
1450.9650559117155230.06988817656895410.0349440882844771
1460.9642474987253420.07150500254931640.0357525012746582
1470.988339415768180.02332116846363960.0116605842318198
1480.9867690456904620.02646190861907670.0132309543095384
1490.9865456124195030.02690877516099450.0134543875804973
1500.9929496550431840.01410068991363270.00705034495681634
1510.9953669933074990.009266013385002250.00463300669250112
1520.9994983995185770.001003200962846320.000501600481423158
1530.9995101971253150.000979605749370990.000489802874685495
1540.9993433537844250.00131329243115090.000656646215575451
1550.99915891070430.001682178591399610.000841089295699806
1560.9989223975076530.002155204984693550.00107760249234678
1570.9988796492426950.002240701514610740.00112035075730537
1580.9986253207176550.002749358564689220.00137467928234461
1590.9991060097684790.00178798046304270.000893990231521348
1600.9989463577881170.00210728442376510.00105364221188255
1610.9986714918809140.002657016238173040.00132850811908652
1620.999276510330790.001446979338420650.000723489669210327
1630.9990877737323340.001824452535332610.000912226267666303
1640.9988657639918510.002268472016298410.00113423600814921
1650.9990520715334710.001895856933057980.000947928466528989
1660.9988575506313640.002284898737272690.00114244936863634
1670.998857083856430.002285832287139230.00114291614356962
1680.9994618281058980.001076343788204280.000538171894102142
1690.9992991978329140.001401604334172860.000700802167086432
1700.9991609647815870.001678070436826650.000839035218413323
1710.9989856686204490.002028662759101590.0010143313795508
1720.998696791957730.002606416084539450.00130320804226972
1730.9984314430046760.003137113990647170.00156855699532358
1740.9979525650448070.004094869910386190.0020474349551931
1750.9984021113827380.003195777234523750.00159788861726188
1760.998326859859880.003346280280239560.00167314014011978
1770.9977968817618810.004406236476238440.00220311823811922
1780.9972946657254530.005410668549093010.0027053342745465
1790.9967246359482380.006550728103523950.00327536405176198
1800.9969284310713560.006143137857287140.00307156892864357
1810.9983424563402630.003315087319473130.00165754365973656
1820.9978871827534440.004225634493112950.00211281724655648
1830.999118747574510.001762504850980490.000881252425490247
1840.9991641547109230.001671690578154720.000835845289077362
1850.9990592869190810.001881426161837920.000940713080918959
1860.9996857879628890.0006284240742215120.000314212037110756
1870.9998074424279180.0003851151441646380.000192557572082319
1880.9999346766209810.0001306467580386386.53233790193189e-05
1890.9999171032512020.0001657934975954838.28967487977417e-05
1900.9999976192008654.7615982693964e-062.3807991346982e-06
1910.999997588803884.82239224053357e-062.41119612026678e-06
1920.9999963829918897.23401622232355e-063.61700811116177e-06
1930.9999968054064126.38918717557333e-063.19459358778667e-06
1940.9999980103441753.97931164953358e-061.98965582476679e-06
1950.9999968818901436.23621971325494e-063.11810985662747e-06
1960.9999973860003825.22799923520934e-062.61399961760467e-06
1970.9999968827850916.23442981851555e-063.11721490925778e-06
1980.9999957789316368.4421367280728e-064.2210683640364e-06
1990.9999934465261911.31069476181734e-056.55347380908669e-06
2000.9999900556901291.98886197427552e-059.9443098713776e-06
2010.9999847516581273.0496683745812e-051.5248341872906e-05
2020.9999945955838871.08088322265752e-055.40441611328758e-06
2030.9999918781353731.62437292538001e-058.12186462690004e-06
2040.9999874540051952.50919896110463e-051.25459948055232e-05
2050.9999818816019343.62367961316861e-051.8118398065843e-05
2060.9999863771545092.72456909814599e-051.362284549073e-05
2070.9999793361981674.1327603666036e-052.0663801833018e-05
2080.9999726972925275.4605414945016e-052.7302707472508e-05
2090.9999584046707468.31906585084526e-054.15953292542263e-05
2100.9999467244924870.0001065510150251285.32755075125641e-05
2110.999982107910993.57841780197944e-051.78920890098972e-05
2120.9999725884100555.48231798892587e-052.74115899446293e-05
2130.9999662646074146.74707851726132e-053.37353925863066e-05
2140.9999488831120840.0001022337758320525.11168879160261e-05
2150.9999811550901623.76898196751163e-051.88449098375582e-05
2160.9999921151887451.57696225096811e-057.88481125484053e-06
2170.9999883857323422.32285353151454e-051.16142676575727e-05
2180.9999831694543963.36610912080641e-051.68305456040321e-05
2190.999973749132765.25017344804134e-052.62508672402067e-05
2200.9999597481435718.05037128577589e-054.02518564288794e-05
2210.9999469629418470.0001060741163058015.30370581529006e-05
2220.9999183211163490.000163357767301948.167888365097e-05
2230.9998843287806180.0002313424387633660.000115671219381683
2240.9998277312494740.0003445375010525510.000172268750526276
2250.9998567194612490.0002865610775026060.000143280538751303
2260.999896548106280.0002069037874404550.000103451893720228
2270.9999467762413890.0001064475172211495.32237586105743e-05
2280.9999177363988450.0001645272023096968.22636011548478e-05
2290.9998731485803310.0002537028393383590.000126851419669179
2300.9999189543815930.0001620912368133968.1045618406698e-05
2310.9999445071932590.0001109856134822255.54928067411125e-05
2320.9999301333340710.000139733331858346.98666659291699e-05
2330.999937634711630.000124730576739896.2365288369945e-05
2340.999922952306980.0001540953860399837.70476930199916e-05
2350.9999450821917270.0001098356165451465.49178082725732e-05
2360.9999322690949470.0001354618101053126.77309050526561e-05
2370.9998917025237290.0002165949525426870.000108297476271343
2380.9998482881135830.000303423772833940.00015171188641697
2390.9997672384230030.0004655231539935970.000232761576996798
2400.9997828265714840.0004343468570315550.000217173428515777
2410.9996588742129410.000682251574117990.000341125787058995
2420.9994598802943710.001080239411257640.000540119705628819
2430.999314540351350.001370919297300870.000685459648650435
2440.9989397704945250.002120459010950730.00106022950547536
2450.9983768827862590.00324623442748130.00162311721374065
2460.9975326535876850.004934692824630860.00246734641231543
2470.9973807335621560.005238532875688560.00261926643784428
2480.9961612674162180.007677465167564080.00383873258378204
2490.9948443936183760.01031121276324750.00515560638162377
2500.9963368769860830.00732624602783330.00366312301391665
2510.99458871604810.01082256790380090.00541128395190046
2520.9920723806251320.0158552387497350.00792761937486749
2530.9966890374788550.006621925042289770.00331096252114488
2540.9959845075876990.0080309848246020.004015492412301
2550.9941445695752320.01171086084953620.00585543042476812
2560.9943272231315130.0113455537369740.00567277686848699
2570.9926698243754420.01466035124911590.00733017562455794
2580.9896263180417140.02074736391657120.0103736819582856
2590.9857630001320160.02847399973596750.0142369998679838
2600.9831972615452880.03360547690942430.0168027384547121
2610.9881293325785680.02374133484286310.0118706674214315
2620.9818467664233720.03630646715325560.0181532335766278
2630.9738790898352210.0522418203295590.0261209101647795
2640.9613383729713320.07732325405733550.0386616270286678
2650.9457813212875970.1084373574248050.0542186787124026
2660.9347592277609630.1304815444780740.0652407722390368
2670.9126231330285650.174753733942870.0873768669714351
2680.8818013647986270.2363972704027460.118198635201373
2690.8579640826820110.2840718346359790.142035917317989
2700.8296549897786680.3406900204426650.170345010221332
2710.8027887912801170.3944224174397670.197211208719883
2720.7493239966849060.5013520066301870.250676003315094
2730.8154113742277890.3691772515444230.184588625772211
2740.7651486698605230.4697026602789540.234851330139477
2750.7515146562745860.4969706874508280.248485343725414
2760.782774901934370.4344501961312590.21722509806563
2770.9006067098466320.1987865803067370.0993932901533684
2780.9501781141866720.09964377162665550.0498218858133277
2790.9044269192297490.1911461615405020.0955730807702508
2800.8370385074443630.3259229851112750.162961492555637
2810.7197453776246140.5605092447507720.280254622375386
2820.5897358939006120.8205282121987760.410264106099388

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.0578906897634264 & 0.115781379526853 & 0.942109310236574 \tabularnewline
8 & 0.0293286567212528 & 0.0586573134425056 & 0.970671343278747 \tabularnewline
9 & 0.164045516752115 & 0.32809103350423 & 0.835954483247885 \tabularnewline
10 & 0.103758288418683 & 0.207516576837366 & 0.896241711581317 \tabularnewline
11 & 0.0717478066781035 & 0.143495613356207 & 0.928252193321897 \tabularnewline
12 & 0.375744992046093 & 0.751489984092186 & 0.624255007953907 \tabularnewline
13 & 0.546029463741037 & 0.907941072517927 & 0.453970536258963 \tabularnewline
14 & 0.457940413787134 & 0.915880827574267 & 0.542059586212866 \tabularnewline
15 & 0.4687044084399 & 0.937408816879799 & 0.5312955915601 \tabularnewline
16 & 0.39786765268934 & 0.795735305378679 & 0.60213234731066 \tabularnewline
17 & 0.421169078201708 & 0.842338156403416 & 0.578830921798292 \tabularnewline
18 & 0.415758821291785 & 0.83151764258357 & 0.584241178708215 \tabularnewline
19 & 0.340469410707188 & 0.680938821414376 & 0.659530589292812 \tabularnewline
20 & 0.324808451383049 & 0.649616902766097 & 0.675191548616951 \tabularnewline
21 & 0.313738520795373 & 0.627477041590746 & 0.686261479204627 \tabularnewline
22 & 0.2963994696224 & 0.592798939244799 & 0.7036005303776 \tabularnewline
23 & 0.240397107018587 & 0.480794214037174 & 0.759602892981413 \tabularnewline
24 & 0.20383369127659 & 0.40766738255318 & 0.79616630872341 \tabularnewline
25 & 0.16977446689991 & 0.339548933799819 & 0.83022553310009 \tabularnewline
26 & 0.133273773904153 & 0.266547547808306 & 0.866726226095847 \tabularnewline
27 & 0.116517933885033 & 0.233035867770067 & 0.883482066114967 \tabularnewline
28 & 0.0905146165149241 & 0.181029233029848 & 0.909485383485076 \tabularnewline
29 & 0.0678781496660455 & 0.135756299332091 & 0.932121850333955 \tabularnewline
30 & 0.0508741900610281 & 0.101748380122056 & 0.949125809938972 \tabularnewline
31 & 0.0382167239974851 & 0.0764334479949702 & 0.961783276002515 \tabularnewline
32 & 0.0282196854857013 & 0.0564393709714025 & 0.971780314514299 \tabularnewline
33 & 0.153023897399524 & 0.306047794799048 & 0.846976102600476 \tabularnewline
34 & 0.186489589088107 & 0.372979178176215 & 0.813510410911893 \tabularnewline
35 & 0.166839081647685 & 0.333678163295371 & 0.833160918352315 \tabularnewline
36 & 0.137905959100204 & 0.275811918200408 & 0.862094040899796 \tabularnewline
37 & 0.167453262087947 & 0.334906524175894 & 0.832546737912053 \tabularnewline
38 & 0.155498896246788 & 0.310997792493576 & 0.844501103753212 \tabularnewline
39 & 0.161990101983534 & 0.323980203967067 & 0.838009898016466 \tabularnewline
40 & 0.369044758522623 & 0.738089517045246 & 0.630955241477377 \tabularnewline
41 & 0.323947031660615 & 0.64789406332123 & 0.676052968339385 \tabularnewline
42 & 0.334312392601549 & 0.668624785203098 & 0.665687607398451 \tabularnewline
43 & 0.302672698148776 & 0.605345396297552 & 0.697327301851224 \tabularnewline
44 & 0.264040828888575 & 0.52808165777715 & 0.735959171111425 \tabularnewline
45 & 0.421686188390297 & 0.843372376780594 & 0.578313811609703 \tabularnewline
46 & 0.414425932977789 & 0.828851865955578 & 0.585574067022211 \tabularnewline
47 & 0.381351667685742 & 0.762703335371485 & 0.618648332314258 \tabularnewline
48 & 0.341631423983342 & 0.683262847966684 & 0.658368576016658 \tabularnewline
49 & 0.316274506693698 & 0.632549013387397 & 0.683725493306302 \tabularnewline
50 & 0.606695958272066 & 0.786608083455867 & 0.393304041727934 \tabularnewline
51 & 0.591487051963341 & 0.817025896073319 & 0.408512948036659 \tabularnewline
52 & 0.580509407213397 & 0.838981185573205 & 0.419490592786603 \tabularnewline
53 & 0.627583075273837 & 0.744833849452325 & 0.372416924726163 \tabularnewline
54 & 0.596183569082055 & 0.80763286183589 & 0.403816430917945 \tabularnewline
55 & 0.556419240740589 & 0.887161518518821 & 0.443580759259411 \tabularnewline
56 & 0.513902378268678 & 0.972195243462643 & 0.486097621731322 \tabularnewline
57 & 0.622017225081729 & 0.755965549836543 & 0.377982774918271 \tabularnewline
58 & 0.5841231148938 & 0.831753770212399 & 0.4158768851062 \tabularnewline
59 & 0.560563008916211 & 0.878873982167578 & 0.439436991083789 \tabularnewline
60 & 0.583201512587879 & 0.833596974824242 & 0.416798487412121 \tabularnewline
61 & 0.542055972293132 & 0.915888055413736 & 0.457944027706868 \tabularnewline
62 & 0.536346723524191 & 0.927306552951618 & 0.463653276475809 \tabularnewline
63 & 0.648125143306905 & 0.70374971338619 & 0.351874856693095 \tabularnewline
64 & 0.62005874955615 & 0.759882500887701 & 0.37994125044385 \tabularnewline
65 & 0.649103265676443 & 0.701793468647115 & 0.350896734323557 \tabularnewline
66 & 0.614470354482771 & 0.771059291034458 & 0.385529645517229 \tabularnewline
67 & 0.646255377803178 & 0.707489244393644 & 0.353744622196822 \tabularnewline
68 & 0.645271079068963 & 0.709457841862075 & 0.354728920931037 \tabularnewline
69 & 0.844207959872835 & 0.311584080254329 & 0.155792040127165 \tabularnewline
70 & 0.84383331563949 & 0.312333368721019 & 0.15616668436051 \tabularnewline
71 & 0.820756700667412 & 0.358486598665175 & 0.179243299332588 \tabularnewline
72 & 0.806764246030379 & 0.386471507939243 & 0.193235753969621 \tabularnewline
73 & 0.783846750050858 & 0.432306499898284 & 0.216153249949142 \tabularnewline
74 & 0.758618101844608 & 0.482763796310783 & 0.241381898155392 \tabularnewline
75 & 0.731634279540805 & 0.53673144091839 & 0.268365720459195 \tabularnewline
76 & 0.729420706826742 & 0.541158586346516 & 0.270579293173258 \tabularnewline
77 & 0.814371835377728 & 0.371256329244545 & 0.185628164622273 \tabularnewline
78 & 0.798872024635427 & 0.402255950729147 & 0.201127975364573 \tabularnewline
79 & 0.774594726759145 & 0.45081054648171 & 0.225405273240855 \tabularnewline
80 & 0.800121689361554 & 0.399756621276892 & 0.199878310638446 \tabularnewline
81 & 0.773262008520091 & 0.453475982959817 & 0.226737991479909 \tabularnewline
82 & 0.755948602261447 & 0.488102795477105 & 0.244051397738553 \tabularnewline
83 & 0.729825754519291 & 0.540348490961418 & 0.270174245480709 \tabularnewline
84 & 0.715196541357544 & 0.569606917284913 & 0.284803458642456 \tabularnewline
85 & 0.683988123664517 & 0.632023752670967 & 0.316011876335483 \tabularnewline
86 & 0.650569546046452 & 0.698860907907097 & 0.349430453953548 \tabularnewline
87 & 0.681180283328603 & 0.637639433342793 & 0.318819716671397 \tabularnewline
88 & 0.650965981123808 & 0.698068037752385 & 0.349034018876192 \tabularnewline
89 & 0.629284257893136 & 0.741431484213727 & 0.370715742106864 \tabularnewline
90 & 0.599184575983666 & 0.801630848032668 & 0.400815424016334 \tabularnewline
91 & 0.569783941873601 & 0.860432116252798 & 0.430216058126399 \tabularnewline
92 & 0.704863269918459 & 0.590273460163081 & 0.295136730081541 \tabularnewline
93 & 0.71052423159789 & 0.578951536804219 & 0.28947576840211 \tabularnewline
94 & 0.679420511600688 & 0.641158976798625 & 0.320579488399312 \tabularnewline
95 & 0.649764860236008 & 0.700470279527984 & 0.350235139763992 \tabularnewline
96 & 0.623807435522433 & 0.752385128955133 & 0.376192564477566 \tabularnewline
97 & 0.793859226939488 & 0.412281546121024 & 0.206140773060512 \tabularnewline
98 & 0.771842820466841 & 0.456314359066318 & 0.228157179533159 \tabularnewline
99 & 0.772158453675654 & 0.455683092648692 & 0.227841546324346 \tabularnewline
100 & 0.747256928708281 & 0.505486142583438 & 0.252743071291719 \tabularnewline
101 & 0.719439090303862 & 0.561121819392275 & 0.280560909696138 \tabularnewline
102 & 0.692181920415634 & 0.615636159168733 & 0.307818079584366 \tabularnewline
103 & 0.660634189021831 & 0.678731621956338 & 0.339365810978169 \tabularnewline
104 & 0.628305059508925 & 0.74338988098215 & 0.371694940491075 \tabularnewline
105 & 0.608286736248955 & 0.783426527502089 & 0.391713263751045 \tabularnewline
106 & 0.622093576727329 & 0.755812846545342 & 0.377906423272671 \tabularnewline
107 & 0.684847367555757 & 0.630305264888485 & 0.315152632444243 \tabularnewline
108 & 0.657977814209979 & 0.684044371580041 & 0.342022185790021 \tabularnewline
109 & 0.904994772145533 & 0.190010455708934 & 0.0950052278544668 \tabularnewline
110 & 0.903458962208636 & 0.193082075582728 & 0.0965410377913638 \tabularnewline
111 & 0.893528966676609 & 0.212942066646781 & 0.106471033323391 \tabularnewline
112 & 0.92261405609384 & 0.15477188781232 & 0.0773859439061598 \tabularnewline
113 & 0.912061559862682 & 0.175876880274636 & 0.0879384401373182 \tabularnewline
114 & 0.92713056116652 & 0.145738877666959 & 0.0728694388334795 \tabularnewline
115 & 0.915773907953133 & 0.168452184093735 & 0.0842260920468675 \tabularnewline
116 & 0.902485408396328 & 0.195029183207344 & 0.0975145916036722 \tabularnewline
117 & 0.903957814874344 & 0.192084370251312 & 0.0960421851256562 \tabularnewline
118 & 0.905121482049122 & 0.189757035901755 & 0.0948785179508776 \tabularnewline
119 & 0.890241685898387 & 0.219516628203226 & 0.109758314101613 \tabularnewline
120 & 0.879738774175569 & 0.240522451648863 & 0.120261225824431 \tabularnewline
121 & 0.867139285967741 & 0.265721428064518 & 0.132860714032259 \tabularnewline
122 & 0.863968960784056 & 0.272062078431887 & 0.136031039215944 \tabularnewline
123 & 0.861968447057309 & 0.276063105885382 & 0.138031552942691 \tabularnewline
124 & 0.847387195372353 & 0.305225609255295 & 0.152612804627647 \tabularnewline
125 & 0.827087487427053 & 0.345825025145895 & 0.172912512572947 \tabularnewline
126 & 0.868325394289954 & 0.263349211420092 & 0.131674605710046 \tabularnewline
127 & 0.875597911774154 & 0.248804176451692 & 0.124402088225846 \tabularnewline
128 & 0.85786327750665 & 0.2842734449867 & 0.14213672249335 \tabularnewline
129 & 0.860836856227394 & 0.278326287545211 & 0.139163143772606 \tabularnewline
130 & 0.911792769775325 & 0.176414460449349 & 0.0882072302246746 \tabularnewline
131 & 0.913613675533484 & 0.172772648933033 & 0.0863863244665164 \tabularnewline
132 & 0.900356043692381 & 0.199287912615238 & 0.0996439563076189 \tabularnewline
133 & 0.909532471441685 & 0.180935057116631 & 0.0904675285583153 \tabularnewline
134 & 0.90768840270111 & 0.184623194597781 & 0.0923115972988903 \tabularnewline
135 & 0.940313609191775 & 0.11937278161645 & 0.0596863908082249 \tabularnewline
136 & 0.953209669626733 & 0.0935806607465329 & 0.0467903303732665 \tabularnewline
137 & 0.972270237569986 & 0.0554595248600283 & 0.0277297624300142 \tabularnewline
138 & 0.974011243862354 & 0.0519775122752914 & 0.0259887561376457 \tabularnewline
139 & 0.968859146158492 & 0.062281707683015 & 0.0311408538415075 \tabularnewline
140 & 0.968779947051793 & 0.0624401058964146 & 0.0312200529482073 \tabularnewline
141 & 0.962730700872053 & 0.0745385982558935 & 0.0372692991279468 \tabularnewline
142 & 0.959228652146779 & 0.0815426957064411 & 0.0407713478532206 \tabularnewline
143 & 0.95824349311647 & 0.0835130137670603 & 0.0417565068835302 \tabularnewline
144 & 0.951601493738253 & 0.0967970125234947 & 0.0483985062617474 \tabularnewline
145 & 0.965055911715523 & 0.0698881765689541 & 0.0349440882844771 \tabularnewline
146 & 0.964247498725342 & 0.0715050025493164 & 0.0357525012746582 \tabularnewline
147 & 0.98833941576818 & 0.0233211684636396 & 0.0116605842318198 \tabularnewline
148 & 0.986769045690462 & 0.0264619086190767 & 0.0132309543095384 \tabularnewline
149 & 0.986545612419503 & 0.0269087751609945 & 0.0134543875804973 \tabularnewline
150 & 0.992949655043184 & 0.0141006899136327 & 0.00705034495681634 \tabularnewline
151 & 0.995366993307499 & 0.00926601338500225 & 0.00463300669250112 \tabularnewline
152 & 0.999498399518577 & 0.00100320096284632 & 0.000501600481423158 \tabularnewline
153 & 0.999510197125315 & 0.00097960574937099 & 0.000489802874685495 \tabularnewline
154 & 0.999343353784425 & 0.0013132924311509 & 0.000656646215575451 \tabularnewline
155 & 0.9991589107043 & 0.00168217859139961 & 0.000841089295699806 \tabularnewline
156 & 0.998922397507653 & 0.00215520498469355 & 0.00107760249234678 \tabularnewline
157 & 0.998879649242695 & 0.00224070151461074 & 0.00112035075730537 \tabularnewline
158 & 0.998625320717655 & 0.00274935856468922 & 0.00137467928234461 \tabularnewline
159 & 0.999106009768479 & 0.0017879804630427 & 0.000893990231521348 \tabularnewline
160 & 0.998946357788117 & 0.0021072844237651 & 0.00105364221188255 \tabularnewline
161 & 0.998671491880914 & 0.00265701623817304 & 0.00132850811908652 \tabularnewline
162 & 0.99927651033079 & 0.00144697933842065 & 0.000723489669210327 \tabularnewline
163 & 0.999087773732334 & 0.00182445253533261 & 0.000912226267666303 \tabularnewline
164 & 0.998865763991851 & 0.00226847201629841 & 0.00113423600814921 \tabularnewline
165 & 0.999052071533471 & 0.00189585693305798 & 0.000947928466528989 \tabularnewline
166 & 0.998857550631364 & 0.00228489873727269 & 0.00114244936863634 \tabularnewline
167 & 0.99885708385643 & 0.00228583228713923 & 0.00114291614356962 \tabularnewline
168 & 0.999461828105898 & 0.00107634378820428 & 0.000538171894102142 \tabularnewline
169 & 0.999299197832914 & 0.00140160433417286 & 0.000700802167086432 \tabularnewline
170 & 0.999160964781587 & 0.00167807043682665 & 0.000839035218413323 \tabularnewline
171 & 0.998985668620449 & 0.00202866275910159 & 0.0010143313795508 \tabularnewline
172 & 0.99869679195773 & 0.00260641608453945 & 0.00130320804226972 \tabularnewline
173 & 0.998431443004676 & 0.00313711399064717 & 0.00156855699532358 \tabularnewline
174 & 0.997952565044807 & 0.00409486991038619 & 0.0020474349551931 \tabularnewline
175 & 0.998402111382738 & 0.00319577723452375 & 0.00159788861726188 \tabularnewline
176 & 0.99832685985988 & 0.00334628028023956 & 0.00167314014011978 \tabularnewline
177 & 0.997796881761881 & 0.00440623647623844 & 0.00220311823811922 \tabularnewline
178 & 0.997294665725453 & 0.00541066854909301 & 0.0027053342745465 \tabularnewline
179 & 0.996724635948238 & 0.00655072810352395 & 0.00327536405176198 \tabularnewline
180 & 0.996928431071356 & 0.00614313785728714 & 0.00307156892864357 \tabularnewline
181 & 0.998342456340263 & 0.00331508731947313 & 0.00165754365973656 \tabularnewline
182 & 0.997887182753444 & 0.00422563449311295 & 0.00211281724655648 \tabularnewline
183 & 0.99911874757451 & 0.00176250485098049 & 0.000881252425490247 \tabularnewline
184 & 0.999164154710923 & 0.00167169057815472 & 0.000835845289077362 \tabularnewline
185 & 0.999059286919081 & 0.00188142616183792 & 0.000940713080918959 \tabularnewline
186 & 0.999685787962889 & 0.000628424074221512 & 0.000314212037110756 \tabularnewline
187 & 0.999807442427918 & 0.000385115144164638 & 0.000192557572082319 \tabularnewline
188 & 0.999934676620981 & 0.000130646758038638 & 6.53233790193189e-05 \tabularnewline
189 & 0.999917103251202 & 0.000165793497595483 & 8.28967487977417e-05 \tabularnewline
190 & 0.999997619200865 & 4.7615982693964e-06 & 2.3807991346982e-06 \tabularnewline
191 & 0.99999758880388 & 4.82239224053357e-06 & 2.41119612026678e-06 \tabularnewline
192 & 0.999996382991889 & 7.23401622232355e-06 & 3.61700811116177e-06 \tabularnewline
193 & 0.999996805406412 & 6.38918717557333e-06 & 3.19459358778667e-06 \tabularnewline
194 & 0.999998010344175 & 3.97931164953358e-06 & 1.98965582476679e-06 \tabularnewline
195 & 0.999996881890143 & 6.23621971325494e-06 & 3.11810985662747e-06 \tabularnewline
196 & 0.999997386000382 & 5.22799923520934e-06 & 2.61399961760467e-06 \tabularnewline
197 & 0.999996882785091 & 6.23442981851555e-06 & 3.11721490925778e-06 \tabularnewline
198 & 0.999995778931636 & 8.4421367280728e-06 & 4.2210683640364e-06 \tabularnewline
199 & 0.999993446526191 & 1.31069476181734e-05 & 6.55347380908669e-06 \tabularnewline
200 & 0.999990055690129 & 1.98886197427552e-05 & 9.9443098713776e-06 \tabularnewline
201 & 0.999984751658127 & 3.0496683745812e-05 & 1.5248341872906e-05 \tabularnewline
202 & 0.999994595583887 & 1.08088322265752e-05 & 5.40441611328758e-06 \tabularnewline
203 & 0.999991878135373 & 1.62437292538001e-05 & 8.12186462690004e-06 \tabularnewline
204 & 0.999987454005195 & 2.50919896110463e-05 & 1.25459948055232e-05 \tabularnewline
205 & 0.999981881601934 & 3.62367961316861e-05 & 1.8118398065843e-05 \tabularnewline
206 & 0.999986377154509 & 2.72456909814599e-05 & 1.362284549073e-05 \tabularnewline
207 & 0.999979336198167 & 4.1327603666036e-05 & 2.0663801833018e-05 \tabularnewline
208 & 0.999972697292527 & 5.4605414945016e-05 & 2.7302707472508e-05 \tabularnewline
209 & 0.999958404670746 & 8.31906585084526e-05 & 4.15953292542263e-05 \tabularnewline
210 & 0.999946724492487 & 0.000106551015025128 & 5.32755075125641e-05 \tabularnewline
211 & 0.99998210791099 & 3.57841780197944e-05 & 1.78920890098972e-05 \tabularnewline
212 & 0.999972588410055 & 5.48231798892587e-05 & 2.74115899446293e-05 \tabularnewline
213 & 0.999966264607414 & 6.74707851726132e-05 & 3.37353925863066e-05 \tabularnewline
214 & 0.999948883112084 & 0.000102233775832052 & 5.11168879160261e-05 \tabularnewline
215 & 0.999981155090162 & 3.76898196751163e-05 & 1.88449098375582e-05 \tabularnewline
216 & 0.999992115188745 & 1.57696225096811e-05 & 7.88481125484053e-06 \tabularnewline
217 & 0.999988385732342 & 2.32285353151454e-05 & 1.16142676575727e-05 \tabularnewline
218 & 0.999983169454396 & 3.36610912080641e-05 & 1.68305456040321e-05 \tabularnewline
219 & 0.99997374913276 & 5.25017344804134e-05 & 2.62508672402067e-05 \tabularnewline
220 & 0.999959748143571 & 8.05037128577589e-05 & 4.02518564288794e-05 \tabularnewline
221 & 0.999946962941847 & 0.000106074116305801 & 5.30370581529006e-05 \tabularnewline
222 & 0.999918321116349 & 0.00016335776730194 & 8.167888365097e-05 \tabularnewline
223 & 0.999884328780618 & 0.000231342438763366 & 0.000115671219381683 \tabularnewline
224 & 0.999827731249474 & 0.000344537501052551 & 0.000172268750526276 \tabularnewline
225 & 0.999856719461249 & 0.000286561077502606 & 0.000143280538751303 \tabularnewline
226 & 0.99989654810628 & 0.000206903787440455 & 0.000103451893720228 \tabularnewline
227 & 0.999946776241389 & 0.000106447517221149 & 5.32237586105743e-05 \tabularnewline
228 & 0.999917736398845 & 0.000164527202309696 & 8.22636011548478e-05 \tabularnewline
229 & 0.999873148580331 & 0.000253702839338359 & 0.000126851419669179 \tabularnewline
230 & 0.999918954381593 & 0.000162091236813396 & 8.1045618406698e-05 \tabularnewline
231 & 0.999944507193259 & 0.000110985613482225 & 5.54928067411125e-05 \tabularnewline
232 & 0.999930133334071 & 0.00013973333185834 & 6.98666659291699e-05 \tabularnewline
233 & 0.99993763471163 & 0.00012473057673989 & 6.2365288369945e-05 \tabularnewline
234 & 0.99992295230698 & 0.000154095386039983 & 7.70476930199916e-05 \tabularnewline
235 & 0.999945082191727 & 0.000109835616545146 & 5.49178082725732e-05 \tabularnewline
236 & 0.999932269094947 & 0.000135461810105312 & 6.77309050526561e-05 \tabularnewline
237 & 0.999891702523729 & 0.000216594952542687 & 0.000108297476271343 \tabularnewline
238 & 0.999848288113583 & 0.00030342377283394 & 0.00015171188641697 \tabularnewline
239 & 0.999767238423003 & 0.000465523153993597 & 0.000232761576996798 \tabularnewline
240 & 0.999782826571484 & 0.000434346857031555 & 0.000217173428515777 \tabularnewline
241 & 0.999658874212941 & 0.00068225157411799 & 0.000341125787058995 \tabularnewline
242 & 0.999459880294371 & 0.00108023941125764 & 0.000540119705628819 \tabularnewline
243 & 0.99931454035135 & 0.00137091929730087 & 0.000685459648650435 \tabularnewline
244 & 0.998939770494525 & 0.00212045901095073 & 0.00106022950547536 \tabularnewline
245 & 0.998376882786259 & 0.0032462344274813 & 0.00162311721374065 \tabularnewline
246 & 0.997532653587685 & 0.00493469282463086 & 0.00246734641231543 \tabularnewline
247 & 0.997380733562156 & 0.00523853287568856 & 0.00261926643784428 \tabularnewline
248 & 0.996161267416218 & 0.00767746516756408 & 0.00383873258378204 \tabularnewline
249 & 0.994844393618376 & 0.0103112127632475 & 0.00515560638162377 \tabularnewline
250 & 0.996336876986083 & 0.0073262460278333 & 0.00366312301391665 \tabularnewline
251 & 0.9945887160481 & 0.0108225679038009 & 0.00541128395190046 \tabularnewline
252 & 0.992072380625132 & 0.015855238749735 & 0.00792761937486749 \tabularnewline
253 & 0.996689037478855 & 0.00662192504228977 & 0.00331096252114488 \tabularnewline
254 & 0.995984507587699 & 0.008030984824602 & 0.004015492412301 \tabularnewline
255 & 0.994144569575232 & 0.0117108608495362 & 0.00585543042476812 \tabularnewline
256 & 0.994327223131513 & 0.011345553736974 & 0.00567277686848699 \tabularnewline
257 & 0.992669824375442 & 0.0146603512491159 & 0.00733017562455794 \tabularnewline
258 & 0.989626318041714 & 0.0207473639165712 & 0.0103736819582856 \tabularnewline
259 & 0.985763000132016 & 0.0284739997359675 & 0.0142369998679838 \tabularnewline
260 & 0.983197261545288 & 0.0336054769094243 & 0.0168027384547121 \tabularnewline
261 & 0.988129332578568 & 0.0237413348428631 & 0.0118706674214315 \tabularnewline
262 & 0.981846766423372 & 0.0363064671532556 & 0.0181532335766278 \tabularnewline
263 & 0.973879089835221 & 0.052241820329559 & 0.0261209101647795 \tabularnewline
264 & 0.961338372971332 & 0.0773232540573355 & 0.0386616270286678 \tabularnewline
265 & 0.945781321287597 & 0.108437357424805 & 0.0542186787124026 \tabularnewline
266 & 0.934759227760963 & 0.130481544478074 & 0.0652407722390368 \tabularnewline
267 & 0.912623133028565 & 0.17475373394287 & 0.0873768669714351 \tabularnewline
268 & 0.881801364798627 & 0.236397270402746 & 0.118198635201373 \tabularnewline
269 & 0.857964082682011 & 0.284071834635979 & 0.142035917317989 \tabularnewline
270 & 0.829654989778668 & 0.340690020442665 & 0.170345010221332 \tabularnewline
271 & 0.802788791280117 & 0.394422417439767 & 0.197211208719883 \tabularnewline
272 & 0.749323996684906 & 0.501352006630187 & 0.250676003315094 \tabularnewline
273 & 0.815411374227789 & 0.369177251544423 & 0.184588625772211 \tabularnewline
274 & 0.765148669860523 & 0.469702660278954 & 0.234851330139477 \tabularnewline
275 & 0.751514656274586 & 0.496970687450828 & 0.248485343725414 \tabularnewline
276 & 0.78277490193437 & 0.434450196131259 & 0.21722509806563 \tabularnewline
277 & 0.900606709846632 & 0.198786580306737 & 0.0993932901533684 \tabularnewline
278 & 0.950178114186672 & 0.0996437716266555 & 0.0498218858133277 \tabularnewline
279 & 0.904426919229749 & 0.191146161540502 & 0.0955730807702508 \tabularnewline
280 & 0.837038507444363 & 0.325922985111275 & 0.162961492555637 \tabularnewline
281 & 0.719745377624614 & 0.560509244750772 & 0.280254622375386 \tabularnewline
282 & 0.589735893900612 & 0.820528212198776 & 0.410264106099388 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154289&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]7[/C][C]0.0578906897634264[/C][C]0.115781379526853[/C][C]0.942109310236574[/C][/ROW]
[ROW][C]8[/C][C]0.0293286567212528[/C][C]0.0586573134425056[/C][C]0.970671343278747[/C][/ROW]
[ROW][C]9[/C][C]0.164045516752115[/C][C]0.32809103350423[/C][C]0.835954483247885[/C][/ROW]
[ROW][C]10[/C][C]0.103758288418683[/C][C]0.207516576837366[/C][C]0.896241711581317[/C][/ROW]
[ROW][C]11[/C][C]0.0717478066781035[/C][C]0.143495613356207[/C][C]0.928252193321897[/C][/ROW]
[ROW][C]12[/C][C]0.375744992046093[/C][C]0.751489984092186[/C][C]0.624255007953907[/C][/ROW]
[ROW][C]13[/C][C]0.546029463741037[/C][C]0.907941072517927[/C][C]0.453970536258963[/C][/ROW]
[ROW][C]14[/C][C]0.457940413787134[/C][C]0.915880827574267[/C][C]0.542059586212866[/C][/ROW]
[ROW][C]15[/C][C]0.4687044084399[/C][C]0.937408816879799[/C][C]0.5312955915601[/C][/ROW]
[ROW][C]16[/C][C]0.39786765268934[/C][C]0.795735305378679[/C][C]0.60213234731066[/C][/ROW]
[ROW][C]17[/C][C]0.421169078201708[/C][C]0.842338156403416[/C][C]0.578830921798292[/C][/ROW]
[ROW][C]18[/C][C]0.415758821291785[/C][C]0.83151764258357[/C][C]0.584241178708215[/C][/ROW]
[ROW][C]19[/C][C]0.340469410707188[/C][C]0.680938821414376[/C][C]0.659530589292812[/C][/ROW]
[ROW][C]20[/C][C]0.324808451383049[/C][C]0.649616902766097[/C][C]0.675191548616951[/C][/ROW]
[ROW][C]21[/C][C]0.313738520795373[/C][C]0.627477041590746[/C][C]0.686261479204627[/C][/ROW]
[ROW][C]22[/C][C]0.2963994696224[/C][C]0.592798939244799[/C][C]0.7036005303776[/C][/ROW]
[ROW][C]23[/C][C]0.240397107018587[/C][C]0.480794214037174[/C][C]0.759602892981413[/C][/ROW]
[ROW][C]24[/C][C]0.20383369127659[/C][C]0.40766738255318[/C][C]0.79616630872341[/C][/ROW]
[ROW][C]25[/C][C]0.16977446689991[/C][C]0.339548933799819[/C][C]0.83022553310009[/C][/ROW]
[ROW][C]26[/C][C]0.133273773904153[/C][C]0.266547547808306[/C][C]0.866726226095847[/C][/ROW]
[ROW][C]27[/C][C]0.116517933885033[/C][C]0.233035867770067[/C][C]0.883482066114967[/C][/ROW]
[ROW][C]28[/C][C]0.0905146165149241[/C][C]0.181029233029848[/C][C]0.909485383485076[/C][/ROW]
[ROW][C]29[/C][C]0.0678781496660455[/C][C]0.135756299332091[/C][C]0.932121850333955[/C][/ROW]
[ROW][C]30[/C][C]0.0508741900610281[/C][C]0.101748380122056[/C][C]0.949125809938972[/C][/ROW]
[ROW][C]31[/C][C]0.0382167239974851[/C][C]0.0764334479949702[/C][C]0.961783276002515[/C][/ROW]
[ROW][C]32[/C][C]0.0282196854857013[/C][C]0.0564393709714025[/C][C]0.971780314514299[/C][/ROW]
[ROW][C]33[/C][C]0.153023897399524[/C][C]0.306047794799048[/C][C]0.846976102600476[/C][/ROW]
[ROW][C]34[/C][C]0.186489589088107[/C][C]0.372979178176215[/C][C]0.813510410911893[/C][/ROW]
[ROW][C]35[/C][C]0.166839081647685[/C][C]0.333678163295371[/C][C]0.833160918352315[/C][/ROW]
[ROW][C]36[/C][C]0.137905959100204[/C][C]0.275811918200408[/C][C]0.862094040899796[/C][/ROW]
[ROW][C]37[/C][C]0.167453262087947[/C][C]0.334906524175894[/C][C]0.832546737912053[/C][/ROW]
[ROW][C]38[/C][C]0.155498896246788[/C][C]0.310997792493576[/C][C]0.844501103753212[/C][/ROW]
[ROW][C]39[/C][C]0.161990101983534[/C][C]0.323980203967067[/C][C]0.838009898016466[/C][/ROW]
[ROW][C]40[/C][C]0.369044758522623[/C][C]0.738089517045246[/C][C]0.630955241477377[/C][/ROW]
[ROW][C]41[/C][C]0.323947031660615[/C][C]0.64789406332123[/C][C]0.676052968339385[/C][/ROW]
[ROW][C]42[/C][C]0.334312392601549[/C][C]0.668624785203098[/C][C]0.665687607398451[/C][/ROW]
[ROW][C]43[/C][C]0.302672698148776[/C][C]0.605345396297552[/C][C]0.697327301851224[/C][/ROW]
[ROW][C]44[/C][C]0.264040828888575[/C][C]0.52808165777715[/C][C]0.735959171111425[/C][/ROW]
[ROW][C]45[/C][C]0.421686188390297[/C][C]0.843372376780594[/C][C]0.578313811609703[/C][/ROW]
[ROW][C]46[/C][C]0.414425932977789[/C][C]0.828851865955578[/C][C]0.585574067022211[/C][/ROW]
[ROW][C]47[/C][C]0.381351667685742[/C][C]0.762703335371485[/C][C]0.618648332314258[/C][/ROW]
[ROW][C]48[/C][C]0.341631423983342[/C][C]0.683262847966684[/C][C]0.658368576016658[/C][/ROW]
[ROW][C]49[/C][C]0.316274506693698[/C][C]0.632549013387397[/C][C]0.683725493306302[/C][/ROW]
[ROW][C]50[/C][C]0.606695958272066[/C][C]0.786608083455867[/C][C]0.393304041727934[/C][/ROW]
[ROW][C]51[/C][C]0.591487051963341[/C][C]0.817025896073319[/C][C]0.408512948036659[/C][/ROW]
[ROW][C]52[/C][C]0.580509407213397[/C][C]0.838981185573205[/C][C]0.419490592786603[/C][/ROW]
[ROW][C]53[/C][C]0.627583075273837[/C][C]0.744833849452325[/C][C]0.372416924726163[/C][/ROW]
[ROW][C]54[/C][C]0.596183569082055[/C][C]0.80763286183589[/C][C]0.403816430917945[/C][/ROW]
[ROW][C]55[/C][C]0.556419240740589[/C][C]0.887161518518821[/C][C]0.443580759259411[/C][/ROW]
[ROW][C]56[/C][C]0.513902378268678[/C][C]0.972195243462643[/C][C]0.486097621731322[/C][/ROW]
[ROW][C]57[/C][C]0.622017225081729[/C][C]0.755965549836543[/C][C]0.377982774918271[/C][/ROW]
[ROW][C]58[/C][C]0.5841231148938[/C][C]0.831753770212399[/C][C]0.4158768851062[/C][/ROW]
[ROW][C]59[/C][C]0.560563008916211[/C][C]0.878873982167578[/C][C]0.439436991083789[/C][/ROW]
[ROW][C]60[/C][C]0.583201512587879[/C][C]0.833596974824242[/C][C]0.416798487412121[/C][/ROW]
[ROW][C]61[/C][C]0.542055972293132[/C][C]0.915888055413736[/C][C]0.457944027706868[/C][/ROW]
[ROW][C]62[/C][C]0.536346723524191[/C][C]0.927306552951618[/C][C]0.463653276475809[/C][/ROW]
[ROW][C]63[/C][C]0.648125143306905[/C][C]0.70374971338619[/C][C]0.351874856693095[/C][/ROW]
[ROW][C]64[/C][C]0.62005874955615[/C][C]0.759882500887701[/C][C]0.37994125044385[/C][/ROW]
[ROW][C]65[/C][C]0.649103265676443[/C][C]0.701793468647115[/C][C]0.350896734323557[/C][/ROW]
[ROW][C]66[/C][C]0.614470354482771[/C][C]0.771059291034458[/C][C]0.385529645517229[/C][/ROW]
[ROW][C]67[/C][C]0.646255377803178[/C][C]0.707489244393644[/C][C]0.353744622196822[/C][/ROW]
[ROW][C]68[/C][C]0.645271079068963[/C][C]0.709457841862075[/C][C]0.354728920931037[/C][/ROW]
[ROW][C]69[/C][C]0.844207959872835[/C][C]0.311584080254329[/C][C]0.155792040127165[/C][/ROW]
[ROW][C]70[/C][C]0.84383331563949[/C][C]0.312333368721019[/C][C]0.15616668436051[/C][/ROW]
[ROW][C]71[/C][C]0.820756700667412[/C][C]0.358486598665175[/C][C]0.179243299332588[/C][/ROW]
[ROW][C]72[/C][C]0.806764246030379[/C][C]0.386471507939243[/C][C]0.193235753969621[/C][/ROW]
[ROW][C]73[/C][C]0.783846750050858[/C][C]0.432306499898284[/C][C]0.216153249949142[/C][/ROW]
[ROW][C]74[/C][C]0.758618101844608[/C][C]0.482763796310783[/C][C]0.241381898155392[/C][/ROW]
[ROW][C]75[/C][C]0.731634279540805[/C][C]0.53673144091839[/C][C]0.268365720459195[/C][/ROW]
[ROW][C]76[/C][C]0.729420706826742[/C][C]0.541158586346516[/C][C]0.270579293173258[/C][/ROW]
[ROW][C]77[/C][C]0.814371835377728[/C][C]0.371256329244545[/C][C]0.185628164622273[/C][/ROW]
[ROW][C]78[/C][C]0.798872024635427[/C][C]0.402255950729147[/C][C]0.201127975364573[/C][/ROW]
[ROW][C]79[/C][C]0.774594726759145[/C][C]0.45081054648171[/C][C]0.225405273240855[/C][/ROW]
[ROW][C]80[/C][C]0.800121689361554[/C][C]0.399756621276892[/C][C]0.199878310638446[/C][/ROW]
[ROW][C]81[/C][C]0.773262008520091[/C][C]0.453475982959817[/C][C]0.226737991479909[/C][/ROW]
[ROW][C]82[/C][C]0.755948602261447[/C][C]0.488102795477105[/C][C]0.244051397738553[/C][/ROW]
[ROW][C]83[/C][C]0.729825754519291[/C][C]0.540348490961418[/C][C]0.270174245480709[/C][/ROW]
[ROW][C]84[/C][C]0.715196541357544[/C][C]0.569606917284913[/C][C]0.284803458642456[/C][/ROW]
[ROW][C]85[/C][C]0.683988123664517[/C][C]0.632023752670967[/C][C]0.316011876335483[/C][/ROW]
[ROW][C]86[/C][C]0.650569546046452[/C][C]0.698860907907097[/C][C]0.349430453953548[/C][/ROW]
[ROW][C]87[/C][C]0.681180283328603[/C][C]0.637639433342793[/C][C]0.318819716671397[/C][/ROW]
[ROW][C]88[/C][C]0.650965981123808[/C][C]0.698068037752385[/C][C]0.349034018876192[/C][/ROW]
[ROW][C]89[/C][C]0.629284257893136[/C][C]0.741431484213727[/C][C]0.370715742106864[/C][/ROW]
[ROW][C]90[/C][C]0.599184575983666[/C][C]0.801630848032668[/C][C]0.400815424016334[/C][/ROW]
[ROW][C]91[/C][C]0.569783941873601[/C][C]0.860432116252798[/C][C]0.430216058126399[/C][/ROW]
[ROW][C]92[/C][C]0.704863269918459[/C][C]0.590273460163081[/C][C]0.295136730081541[/C][/ROW]
[ROW][C]93[/C][C]0.71052423159789[/C][C]0.578951536804219[/C][C]0.28947576840211[/C][/ROW]
[ROW][C]94[/C][C]0.679420511600688[/C][C]0.641158976798625[/C][C]0.320579488399312[/C][/ROW]
[ROW][C]95[/C][C]0.649764860236008[/C][C]0.700470279527984[/C][C]0.350235139763992[/C][/ROW]
[ROW][C]96[/C][C]0.623807435522433[/C][C]0.752385128955133[/C][C]0.376192564477566[/C][/ROW]
[ROW][C]97[/C][C]0.793859226939488[/C][C]0.412281546121024[/C][C]0.206140773060512[/C][/ROW]
[ROW][C]98[/C][C]0.771842820466841[/C][C]0.456314359066318[/C][C]0.228157179533159[/C][/ROW]
[ROW][C]99[/C][C]0.772158453675654[/C][C]0.455683092648692[/C][C]0.227841546324346[/C][/ROW]
[ROW][C]100[/C][C]0.747256928708281[/C][C]0.505486142583438[/C][C]0.252743071291719[/C][/ROW]
[ROW][C]101[/C][C]0.719439090303862[/C][C]0.561121819392275[/C][C]0.280560909696138[/C][/ROW]
[ROW][C]102[/C][C]0.692181920415634[/C][C]0.615636159168733[/C][C]0.307818079584366[/C][/ROW]
[ROW][C]103[/C][C]0.660634189021831[/C][C]0.678731621956338[/C][C]0.339365810978169[/C][/ROW]
[ROW][C]104[/C][C]0.628305059508925[/C][C]0.74338988098215[/C][C]0.371694940491075[/C][/ROW]
[ROW][C]105[/C][C]0.608286736248955[/C][C]0.783426527502089[/C][C]0.391713263751045[/C][/ROW]
[ROW][C]106[/C][C]0.622093576727329[/C][C]0.755812846545342[/C][C]0.377906423272671[/C][/ROW]
[ROW][C]107[/C][C]0.684847367555757[/C][C]0.630305264888485[/C][C]0.315152632444243[/C][/ROW]
[ROW][C]108[/C][C]0.657977814209979[/C][C]0.684044371580041[/C][C]0.342022185790021[/C][/ROW]
[ROW][C]109[/C][C]0.904994772145533[/C][C]0.190010455708934[/C][C]0.0950052278544668[/C][/ROW]
[ROW][C]110[/C][C]0.903458962208636[/C][C]0.193082075582728[/C][C]0.0965410377913638[/C][/ROW]
[ROW][C]111[/C][C]0.893528966676609[/C][C]0.212942066646781[/C][C]0.106471033323391[/C][/ROW]
[ROW][C]112[/C][C]0.92261405609384[/C][C]0.15477188781232[/C][C]0.0773859439061598[/C][/ROW]
[ROW][C]113[/C][C]0.912061559862682[/C][C]0.175876880274636[/C][C]0.0879384401373182[/C][/ROW]
[ROW][C]114[/C][C]0.92713056116652[/C][C]0.145738877666959[/C][C]0.0728694388334795[/C][/ROW]
[ROW][C]115[/C][C]0.915773907953133[/C][C]0.168452184093735[/C][C]0.0842260920468675[/C][/ROW]
[ROW][C]116[/C][C]0.902485408396328[/C][C]0.195029183207344[/C][C]0.0975145916036722[/C][/ROW]
[ROW][C]117[/C][C]0.903957814874344[/C][C]0.192084370251312[/C][C]0.0960421851256562[/C][/ROW]
[ROW][C]118[/C][C]0.905121482049122[/C][C]0.189757035901755[/C][C]0.0948785179508776[/C][/ROW]
[ROW][C]119[/C][C]0.890241685898387[/C][C]0.219516628203226[/C][C]0.109758314101613[/C][/ROW]
[ROW][C]120[/C][C]0.879738774175569[/C][C]0.240522451648863[/C][C]0.120261225824431[/C][/ROW]
[ROW][C]121[/C][C]0.867139285967741[/C][C]0.265721428064518[/C][C]0.132860714032259[/C][/ROW]
[ROW][C]122[/C][C]0.863968960784056[/C][C]0.272062078431887[/C][C]0.136031039215944[/C][/ROW]
[ROW][C]123[/C][C]0.861968447057309[/C][C]0.276063105885382[/C][C]0.138031552942691[/C][/ROW]
[ROW][C]124[/C][C]0.847387195372353[/C][C]0.305225609255295[/C][C]0.152612804627647[/C][/ROW]
[ROW][C]125[/C][C]0.827087487427053[/C][C]0.345825025145895[/C][C]0.172912512572947[/C][/ROW]
[ROW][C]126[/C][C]0.868325394289954[/C][C]0.263349211420092[/C][C]0.131674605710046[/C][/ROW]
[ROW][C]127[/C][C]0.875597911774154[/C][C]0.248804176451692[/C][C]0.124402088225846[/C][/ROW]
[ROW][C]128[/C][C]0.85786327750665[/C][C]0.2842734449867[/C][C]0.14213672249335[/C][/ROW]
[ROW][C]129[/C][C]0.860836856227394[/C][C]0.278326287545211[/C][C]0.139163143772606[/C][/ROW]
[ROW][C]130[/C][C]0.911792769775325[/C][C]0.176414460449349[/C][C]0.0882072302246746[/C][/ROW]
[ROW][C]131[/C][C]0.913613675533484[/C][C]0.172772648933033[/C][C]0.0863863244665164[/C][/ROW]
[ROW][C]132[/C][C]0.900356043692381[/C][C]0.199287912615238[/C][C]0.0996439563076189[/C][/ROW]
[ROW][C]133[/C][C]0.909532471441685[/C][C]0.180935057116631[/C][C]0.0904675285583153[/C][/ROW]
[ROW][C]134[/C][C]0.90768840270111[/C][C]0.184623194597781[/C][C]0.0923115972988903[/C][/ROW]
[ROW][C]135[/C][C]0.940313609191775[/C][C]0.11937278161645[/C][C]0.0596863908082249[/C][/ROW]
[ROW][C]136[/C][C]0.953209669626733[/C][C]0.0935806607465329[/C][C]0.0467903303732665[/C][/ROW]
[ROW][C]137[/C][C]0.972270237569986[/C][C]0.0554595248600283[/C][C]0.0277297624300142[/C][/ROW]
[ROW][C]138[/C][C]0.974011243862354[/C][C]0.0519775122752914[/C][C]0.0259887561376457[/C][/ROW]
[ROW][C]139[/C][C]0.968859146158492[/C][C]0.062281707683015[/C][C]0.0311408538415075[/C][/ROW]
[ROW][C]140[/C][C]0.968779947051793[/C][C]0.0624401058964146[/C][C]0.0312200529482073[/C][/ROW]
[ROW][C]141[/C][C]0.962730700872053[/C][C]0.0745385982558935[/C][C]0.0372692991279468[/C][/ROW]
[ROW][C]142[/C][C]0.959228652146779[/C][C]0.0815426957064411[/C][C]0.0407713478532206[/C][/ROW]
[ROW][C]143[/C][C]0.95824349311647[/C][C]0.0835130137670603[/C][C]0.0417565068835302[/C][/ROW]
[ROW][C]144[/C][C]0.951601493738253[/C][C]0.0967970125234947[/C][C]0.0483985062617474[/C][/ROW]
[ROW][C]145[/C][C]0.965055911715523[/C][C]0.0698881765689541[/C][C]0.0349440882844771[/C][/ROW]
[ROW][C]146[/C][C]0.964247498725342[/C][C]0.0715050025493164[/C][C]0.0357525012746582[/C][/ROW]
[ROW][C]147[/C][C]0.98833941576818[/C][C]0.0233211684636396[/C][C]0.0116605842318198[/C][/ROW]
[ROW][C]148[/C][C]0.986769045690462[/C][C]0.0264619086190767[/C][C]0.0132309543095384[/C][/ROW]
[ROW][C]149[/C][C]0.986545612419503[/C][C]0.0269087751609945[/C][C]0.0134543875804973[/C][/ROW]
[ROW][C]150[/C][C]0.992949655043184[/C][C]0.0141006899136327[/C][C]0.00705034495681634[/C][/ROW]
[ROW][C]151[/C][C]0.995366993307499[/C][C]0.00926601338500225[/C][C]0.00463300669250112[/C][/ROW]
[ROW][C]152[/C][C]0.999498399518577[/C][C]0.00100320096284632[/C][C]0.000501600481423158[/C][/ROW]
[ROW][C]153[/C][C]0.999510197125315[/C][C]0.00097960574937099[/C][C]0.000489802874685495[/C][/ROW]
[ROW][C]154[/C][C]0.999343353784425[/C][C]0.0013132924311509[/C][C]0.000656646215575451[/C][/ROW]
[ROW][C]155[/C][C]0.9991589107043[/C][C]0.00168217859139961[/C][C]0.000841089295699806[/C][/ROW]
[ROW][C]156[/C][C]0.998922397507653[/C][C]0.00215520498469355[/C][C]0.00107760249234678[/C][/ROW]
[ROW][C]157[/C][C]0.998879649242695[/C][C]0.00224070151461074[/C][C]0.00112035075730537[/C][/ROW]
[ROW][C]158[/C][C]0.998625320717655[/C][C]0.00274935856468922[/C][C]0.00137467928234461[/C][/ROW]
[ROW][C]159[/C][C]0.999106009768479[/C][C]0.0017879804630427[/C][C]0.000893990231521348[/C][/ROW]
[ROW][C]160[/C][C]0.998946357788117[/C][C]0.0021072844237651[/C][C]0.00105364221188255[/C][/ROW]
[ROW][C]161[/C][C]0.998671491880914[/C][C]0.00265701623817304[/C][C]0.00132850811908652[/C][/ROW]
[ROW][C]162[/C][C]0.99927651033079[/C][C]0.00144697933842065[/C][C]0.000723489669210327[/C][/ROW]
[ROW][C]163[/C][C]0.999087773732334[/C][C]0.00182445253533261[/C][C]0.000912226267666303[/C][/ROW]
[ROW][C]164[/C][C]0.998865763991851[/C][C]0.00226847201629841[/C][C]0.00113423600814921[/C][/ROW]
[ROW][C]165[/C][C]0.999052071533471[/C][C]0.00189585693305798[/C][C]0.000947928466528989[/C][/ROW]
[ROW][C]166[/C][C]0.998857550631364[/C][C]0.00228489873727269[/C][C]0.00114244936863634[/C][/ROW]
[ROW][C]167[/C][C]0.99885708385643[/C][C]0.00228583228713923[/C][C]0.00114291614356962[/C][/ROW]
[ROW][C]168[/C][C]0.999461828105898[/C][C]0.00107634378820428[/C][C]0.000538171894102142[/C][/ROW]
[ROW][C]169[/C][C]0.999299197832914[/C][C]0.00140160433417286[/C][C]0.000700802167086432[/C][/ROW]
[ROW][C]170[/C][C]0.999160964781587[/C][C]0.00167807043682665[/C][C]0.000839035218413323[/C][/ROW]
[ROW][C]171[/C][C]0.998985668620449[/C][C]0.00202866275910159[/C][C]0.0010143313795508[/C][/ROW]
[ROW][C]172[/C][C]0.99869679195773[/C][C]0.00260641608453945[/C][C]0.00130320804226972[/C][/ROW]
[ROW][C]173[/C][C]0.998431443004676[/C][C]0.00313711399064717[/C][C]0.00156855699532358[/C][/ROW]
[ROW][C]174[/C][C]0.997952565044807[/C][C]0.00409486991038619[/C][C]0.0020474349551931[/C][/ROW]
[ROW][C]175[/C][C]0.998402111382738[/C][C]0.00319577723452375[/C][C]0.00159788861726188[/C][/ROW]
[ROW][C]176[/C][C]0.99832685985988[/C][C]0.00334628028023956[/C][C]0.00167314014011978[/C][/ROW]
[ROW][C]177[/C][C]0.997796881761881[/C][C]0.00440623647623844[/C][C]0.00220311823811922[/C][/ROW]
[ROW][C]178[/C][C]0.997294665725453[/C][C]0.00541066854909301[/C][C]0.0027053342745465[/C][/ROW]
[ROW][C]179[/C][C]0.996724635948238[/C][C]0.00655072810352395[/C][C]0.00327536405176198[/C][/ROW]
[ROW][C]180[/C][C]0.996928431071356[/C][C]0.00614313785728714[/C][C]0.00307156892864357[/C][/ROW]
[ROW][C]181[/C][C]0.998342456340263[/C][C]0.00331508731947313[/C][C]0.00165754365973656[/C][/ROW]
[ROW][C]182[/C][C]0.997887182753444[/C][C]0.00422563449311295[/C][C]0.00211281724655648[/C][/ROW]
[ROW][C]183[/C][C]0.99911874757451[/C][C]0.00176250485098049[/C][C]0.000881252425490247[/C][/ROW]
[ROW][C]184[/C][C]0.999164154710923[/C][C]0.00167169057815472[/C][C]0.000835845289077362[/C][/ROW]
[ROW][C]185[/C][C]0.999059286919081[/C][C]0.00188142616183792[/C][C]0.000940713080918959[/C][/ROW]
[ROW][C]186[/C][C]0.999685787962889[/C][C]0.000628424074221512[/C][C]0.000314212037110756[/C][/ROW]
[ROW][C]187[/C][C]0.999807442427918[/C][C]0.000385115144164638[/C][C]0.000192557572082319[/C][/ROW]
[ROW][C]188[/C][C]0.999934676620981[/C][C]0.000130646758038638[/C][C]6.53233790193189e-05[/C][/ROW]
[ROW][C]189[/C][C]0.999917103251202[/C][C]0.000165793497595483[/C][C]8.28967487977417e-05[/C][/ROW]
[ROW][C]190[/C][C]0.999997619200865[/C][C]4.7615982693964e-06[/C][C]2.3807991346982e-06[/C][/ROW]
[ROW][C]191[/C][C]0.99999758880388[/C][C]4.82239224053357e-06[/C][C]2.41119612026678e-06[/C][/ROW]
[ROW][C]192[/C][C]0.999996382991889[/C][C]7.23401622232355e-06[/C][C]3.61700811116177e-06[/C][/ROW]
[ROW][C]193[/C][C]0.999996805406412[/C][C]6.38918717557333e-06[/C][C]3.19459358778667e-06[/C][/ROW]
[ROW][C]194[/C][C]0.999998010344175[/C][C]3.97931164953358e-06[/C][C]1.98965582476679e-06[/C][/ROW]
[ROW][C]195[/C][C]0.999996881890143[/C][C]6.23621971325494e-06[/C][C]3.11810985662747e-06[/C][/ROW]
[ROW][C]196[/C][C]0.999997386000382[/C][C]5.22799923520934e-06[/C][C]2.61399961760467e-06[/C][/ROW]
[ROW][C]197[/C][C]0.999996882785091[/C][C]6.23442981851555e-06[/C][C]3.11721490925778e-06[/C][/ROW]
[ROW][C]198[/C][C]0.999995778931636[/C][C]8.4421367280728e-06[/C][C]4.2210683640364e-06[/C][/ROW]
[ROW][C]199[/C][C]0.999993446526191[/C][C]1.31069476181734e-05[/C][C]6.55347380908669e-06[/C][/ROW]
[ROW][C]200[/C][C]0.999990055690129[/C][C]1.98886197427552e-05[/C][C]9.9443098713776e-06[/C][/ROW]
[ROW][C]201[/C][C]0.999984751658127[/C][C]3.0496683745812e-05[/C][C]1.5248341872906e-05[/C][/ROW]
[ROW][C]202[/C][C]0.999994595583887[/C][C]1.08088322265752e-05[/C][C]5.40441611328758e-06[/C][/ROW]
[ROW][C]203[/C][C]0.999991878135373[/C][C]1.62437292538001e-05[/C][C]8.12186462690004e-06[/C][/ROW]
[ROW][C]204[/C][C]0.999987454005195[/C][C]2.50919896110463e-05[/C][C]1.25459948055232e-05[/C][/ROW]
[ROW][C]205[/C][C]0.999981881601934[/C][C]3.62367961316861e-05[/C][C]1.8118398065843e-05[/C][/ROW]
[ROW][C]206[/C][C]0.999986377154509[/C][C]2.72456909814599e-05[/C][C]1.362284549073e-05[/C][/ROW]
[ROW][C]207[/C][C]0.999979336198167[/C][C]4.1327603666036e-05[/C][C]2.0663801833018e-05[/C][/ROW]
[ROW][C]208[/C][C]0.999972697292527[/C][C]5.4605414945016e-05[/C][C]2.7302707472508e-05[/C][/ROW]
[ROW][C]209[/C][C]0.999958404670746[/C][C]8.31906585084526e-05[/C][C]4.15953292542263e-05[/C][/ROW]
[ROW][C]210[/C][C]0.999946724492487[/C][C]0.000106551015025128[/C][C]5.32755075125641e-05[/C][/ROW]
[ROW][C]211[/C][C]0.99998210791099[/C][C]3.57841780197944e-05[/C][C]1.78920890098972e-05[/C][/ROW]
[ROW][C]212[/C][C]0.999972588410055[/C][C]5.48231798892587e-05[/C][C]2.74115899446293e-05[/C][/ROW]
[ROW][C]213[/C][C]0.999966264607414[/C][C]6.74707851726132e-05[/C][C]3.37353925863066e-05[/C][/ROW]
[ROW][C]214[/C][C]0.999948883112084[/C][C]0.000102233775832052[/C][C]5.11168879160261e-05[/C][/ROW]
[ROW][C]215[/C][C]0.999981155090162[/C][C]3.76898196751163e-05[/C][C]1.88449098375582e-05[/C][/ROW]
[ROW][C]216[/C][C]0.999992115188745[/C][C]1.57696225096811e-05[/C][C]7.88481125484053e-06[/C][/ROW]
[ROW][C]217[/C][C]0.999988385732342[/C][C]2.32285353151454e-05[/C][C]1.16142676575727e-05[/C][/ROW]
[ROW][C]218[/C][C]0.999983169454396[/C][C]3.36610912080641e-05[/C][C]1.68305456040321e-05[/C][/ROW]
[ROW][C]219[/C][C]0.99997374913276[/C][C]5.25017344804134e-05[/C][C]2.62508672402067e-05[/C][/ROW]
[ROW][C]220[/C][C]0.999959748143571[/C][C]8.05037128577589e-05[/C][C]4.02518564288794e-05[/C][/ROW]
[ROW][C]221[/C][C]0.999946962941847[/C][C]0.000106074116305801[/C][C]5.30370581529006e-05[/C][/ROW]
[ROW][C]222[/C][C]0.999918321116349[/C][C]0.00016335776730194[/C][C]8.167888365097e-05[/C][/ROW]
[ROW][C]223[/C][C]0.999884328780618[/C][C]0.000231342438763366[/C][C]0.000115671219381683[/C][/ROW]
[ROW][C]224[/C][C]0.999827731249474[/C][C]0.000344537501052551[/C][C]0.000172268750526276[/C][/ROW]
[ROW][C]225[/C][C]0.999856719461249[/C][C]0.000286561077502606[/C][C]0.000143280538751303[/C][/ROW]
[ROW][C]226[/C][C]0.99989654810628[/C][C]0.000206903787440455[/C][C]0.000103451893720228[/C][/ROW]
[ROW][C]227[/C][C]0.999946776241389[/C][C]0.000106447517221149[/C][C]5.32237586105743e-05[/C][/ROW]
[ROW][C]228[/C][C]0.999917736398845[/C][C]0.000164527202309696[/C][C]8.22636011548478e-05[/C][/ROW]
[ROW][C]229[/C][C]0.999873148580331[/C][C]0.000253702839338359[/C][C]0.000126851419669179[/C][/ROW]
[ROW][C]230[/C][C]0.999918954381593[/C][C]0.000162091236813396[/C][C]8.1045618406698e-05[/C][/ROW]
[ROW][C]231[/C][C]0.999944507193259[/C][C]0.000110985613482225[/C][C]5.54928067411125e-05[/C][/ROW]
[ROW][C]232[/C][C]0.999930133334071[/C][C]0.00013973333185834[/C][C]6.98666659291699e-05[/C][/ROW]
[ROW][C]233[/C][C]0.99993763471163[/C][C]0.00012473057673989[/C][C]6.2365288369945e-05[/C][/ROW]
[ROW][C]234[/C][C]0.99992295230698[/C][C]0.000154095386039983[/C][C]7.70476930199916e-05[/C][/ROW]
[ROW][C]235[/C][C]0.999945082191727[/C][C]0.000109835616545146[/C][C]5.49178082725732e-05[/C][/ROW]
[ROW][C]236[/C][C]0.999932269094947[/C][C]0.000135461810105312[/C][C]6.77309050526561e-05[/C][/ROW]
[ROW][C]237[/C][C]0.999891702523729[/C][C]0.000216594952542687[/C][C]0.000108297476271343[/C][/ROW]
[ROW][C]238[/C][C]0.999848288113583[/C][C]0.00030342377283394[/C][C]0.00015171188641697[/C][/ROW]
[ROW][C]239[/C][C]0.999767238423003[/C][C]0.000465523153993597[/C][C]0.000232761576996798[/C][/ROW]
[ROW][C]240[/C][C]0.999782826571484[/C][C]0.000434346857031555[/C][C]0.000217173428515777[/C][/ROW]
[ROW][C]241[/C][C]0.999658874212941[/C][C]0.00068225157411799[/C][C]0.000341125787058995[/C][/ROW]
[ROW][C]242[/C][C]0.999459880294371[/C][C]0.00108023941125764[/C][C]0.000540119705628819[/C][/ROW]
[ROW][C]243[/C][C]0.99931454035135[/C][C]0.00137091929730087[/C][C]0.000685459648650435[/C][/ROW]
[ROW][C]244[/C][C]0.998939770494525[/C][C]0.00212045901095073[/C][C]0.00106022950547536[/C][/ROW]
[ROW][C]245[/C][C]0.998376882786259[/C][C]0.0032462344274813[/C][C]0.00162311721374065[/C][/ROW]
[ROW][C]246[/C][C]0.997532653587685[/C][C]0.00493469282463086[/C][C]0.00246734641231543[/C][/ROW]
[ROW][C]247[/C][C]0.997380733562156[/C][C]0.00523853287568856[/C][C]0.00261926643784428[/C][/ROW]
[ROW][C]248[/C][C]0.996161267416218[/C][C]0.00767746516756408[/C][C]0.00383873258378204[/C][/ROW]
[ROW][C]249[/C][C]0.994844393618376[/C][C]0.0103112127632475[/C][C]0.00515560638162377[/C][/ROW]
[ROW][C]250[/C][C]0.996336876986083[/C][C]0.0073262460278333[/C][C]0.00366312301391665[/C][/ROW]
[ROW][C]251[/C][C]0.9945887160481[/C][C]0.0108225679038009[/C][C]0.00541128395190046[/C][/ROW]
[ROW][C]252[/C][C]0.992072380625132[/C][C]0.015855238749735[/C][C]0.00792761937486749[/C][/ROW]
[ROW][C]253[/C][C]0.996689037478855[/C][C]0.00662192504228977[/C][C]0.00331096252114488[/C][/ROW]
[ROW][C]254[/C][C]0.995984507587699[/C][C]0.008030984824602[/C][C]0.004015492412301[/C][/ROW]
[ROW][C]255[/C][C]0.994144569575232[/C][C]0.0117108608495362[/C][C]0.00585543042476812[/C][/ROW]
[ROW][C]256[/C][C]0.994327223131513[/C][C]0.011345553736974[/C][C]0.00567277686848699[/C][/ROW]
[ROW][C]257[/C][C]0.992669824375442[/C][C]0.0146603512491159[/C][C]0.00733017562455794[/C][/ROW]
[ROW][C]258[/C][C]0.989626318041714[/C][C]0.0207473639165712[/C][C]0.0103736819582856[/C][/ROW]
[ROW][C]259[/C][C]0.985763000132016[/C][C]0.0284739997359675[/C][C]0.0142369998679838[/C][/ROW]
[ROW][C]260[/C][C]0.983197261545288[/C][C]0.0336054769094243[/C][C]0.0168027384547121[/C][/ROW]
[ROW][C]261[/C][C]0.988129332578568[/C][C]0.0237413348428631[/C][C]0.0118706674214315[/C][/ROW]
[ROW][C]262[/C][C]0.981846766423372[/C][C]0.0363064671532556[/C][C]0.0181532335766278[/C][/ROW]
[ROW][C]263[/C][C]0.973879089835221[/C][C]0.052241820329559[/C][C]0.0261209101647795[/C][/ROW]
[ROW][C]264[/C][C]0.961338372971332[/C][C]0.0773232540573355[/C][C]0.0386616270286678[/C][/ROW]
[ROW][C]265[/C][C]0.945781321287597[/C][C]0.108437357424805[/C][C]0.0542186787124026[/C][/ROW]
[ROW][C]266[/C][C]0.934759227760963[/C][C]0.130481544478074[/C][C]0.0652407722390368[/C][/ROW]
[ROW][C]267[/C][C]0.912623133028565[/C][C]0.17475373394287[/C][C]0.0873768669714351[/C][/ROW]
[ROW][C]268[/C][C]0.881801364798627[/C][C]0.236397270402746[/C][C]0.118198635201373[/C][/ROW]
[ROW][C]269[/C][C]0.857964082682011[/C][C]0.284071834635979[/C][C]0.142035917317989[/C][/ROW]
[ROW][C]270[/C][C]0.829654989778668[/C][C]0.340690020442665[/C][C]0.170345010221332[/C][/ROW]
[ROW][C]271[/C][C]0.802788791280117[/C][C]0.394422417439767[/C][C]0.197211208719883[/C][/ROW]
[ROW][C]272[/C][C]0.749323996684906[/C][C]0.501352006630187[/C][C]0.250676003315094[/C][/ROW]
[ROW][C]273[/C][C]0.815411374227789[/C][C]0.369177251544423[/C][C]0.184588625772211[/C][/ROW]
[ROW][C]274[/C][C]0.765148669860523[/C][C]0.469702660278954[/C][C]0.234851330139477[/C][/ROW]
[ROW][C]275[/C][C]0.751514656274586[/C][C]0.496970687450828[/C][C]0.248485343725414[/C][/ROW]
[ROW][C]276[/C][C]0.78277490193437[/C][C]0.434450196131259[/C][C]0.21722509806563[/C][/ROW]
[ROW][C]277[/C][C]0.900606709846632[/C][C]0.198786580306737[/C][C]0.0993932901533684[/C][/ROW]
[ROW][C]278[/C][C]0.950178114186672[/C][C]0.0996437716266555[/C][C]0.0498218858133277[/C][/ROW]
[ROW][C]279[/C][C]0.904426919229749[/C][C]0.191146161540502[/C][C]0.0955730807702508[/C][/ROW]
[ROW][C]280[/C][C]0.837038507444363[/C][C]0.325922985111275[/C][C]0.162961492555637[/C][/ROW]
[ROW][C]281[/C][C]0.719745377624614[/C][C]0.560509244750772[/C][C]0.280254622375386[/C][/ROW]
[ROW][C]282[/C][C]0.589735893900612[/C][C]0.820528212198776[/C][C]0.410264106099388[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154289&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154289&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.05789068976342640.1157813795268530.942109310236574
80.02932865672125280.05865731344250560.970671343278747
90.1640455167521150.328091033504230.835954483247885
100.1037582884186830.2075165768373660.896241711581317
110.07174780667810350.1434956133562070.928252193321897
120.3757449920460930.7514899840921860.624255007953907
130.5460294637410370.9079410725179270.453970536258963
140.4579404137871340.9158808275742670.542059586212866
150.46870440843990.9374088168797990.5312955915601
160.397867652689340.7957353053786790.60213234731066
170.4211690782017080.8423381564034160.578830921798292
180.4157588212917850.831517642583570.584241178708215
190.3404694107071880.6809388214143760.659530589292812
200.3248084513830490.6496169027660970.675191548616951
210.3137385207953730.6274770415907460.686261479204627
220.29639946962240.5927989392447990.7036005303776
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Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1010.365942028985507NOK
5% type I error level1160.420289855072464NOK
10% type I error level1330.481884057971014NOK

\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 & 101 & 0.365942028985507 & NOK \tabularnewline
5% type I error level & 116 & 0.420289855072464 & NOK \tabularnewline
10% type I error level & 133 & 0.481884057971014 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154289&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]101[/C][C]0.365942028985507[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]116[/C][C]0.420289855072464[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]133[/C][C]0.481884057971014[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154289&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154289&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1010.365942028985507NOK
5% type I error level1160.420289855072464NOK
10% type I error level1330.481884057971014NOK


Figures (Output of Computation)

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Figure 9
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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$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')
}