Multiple Linear Regression - Estimated Regression Equation
Outcome[t] = + 0.36697247706422 + 0.117876007784265Used[t] -0.0681818181818182CorrectAnalysis[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.366972477064220.0470797.794800
Used0.1178760077842650.0976591.2070.2293150.114658
CorrectAnalysis-0.06818181818181820.165691-0.41150.6812890.340645


Multiple Linear Regression - Regression Statistics
Multiple R0.0985085846551768
R-squared0.00970394125076614
Adjusted R-squared-0.00341256283862768
F-TEST (value)0.739826800238097
F-TEST (DF numerator)2
F-TEST (DF denominator)151
p-value0.47891817800606
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.491518742621101
Sum Squared Residuals36.4801918265221


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.366972477064220.63302752293578
200.36697247706422-0.36697247706422
300.36697247706422-0.36697247706422
400.36697247706422-0.36697247706422
500.36697247706422-0.36697247706422
610.366972477064220.63302752293578
700.36697247706422-0.36697247706422
800.36697247706422-0.36697247706422
910.366972477064220.63302752293578
1000.36697247706422-0.36697247706422
1100.36697247706422-0.36697247706422
1200.36697247706422-0.36697247706422
1300.484848484848485-0.484848484848485
1400.36697247706422-0.36697247706422
1510.4848484848484850.515151515151515
1610.4848484848484850.515151515151515
1700.416666666666667-0.416666666666667
1800.36697247706422-0.36697247706422
1910.366972477064220.63302752293578
2010.4166666666666670.583333333333333
2100.36697247706422-0.36697247706422
2210.4848484848484850.515151515151515
2310.366972477064220.63302752293578
2410.366972477064220.63302752293578
2510.4848484848484850.515151515151515
2600.484848484848485-0.484848484848485
2710.366972477064220.63302752293578
2800.484848484848485-0.484848484848485
2910.366972477064220.63302752293578
3000.36697247706422-0.36697247706422
3100.36697247706422-0.36697247706422
3200.36697247706422-0.36697247706422
3300.36697247706422-0.36697247706422
3410.366972477064220.63302752293578
3500.36697247706422-0.36697247706422
3600.36697247706422-0.36697247706422
3700.484848484848485-0.484848484848485
3810.4848484848484850.515151515151515
3910.366972477064220.63302752293578
4000.36697247706422-0.36697247706422
4110.4166666666666670.583333333333333
4210.4848484848484850.515151515151515
4310.366972477064220.63302752293578
4400.36697247706422-0.36697247706422
4500.36697247706422-0.36697247706422
4610.366972477064220.63302752293578
4700.36697247706422-0.36697247706422
4810.366972477064220.63302752293578
4910.366972477064220.63302752293578
5000.36697247706422-0.36697247706422
5100.484848484848485-0.484848484848485
5200.416666666666667-0.416666666666667
5310.366972477064220.63302752293578
5400.416666666666667-0.416666666666667
5500.36697247706422-0.36697247706422
5610.4848484848484850.515151515151515
5710.4848484848484850.515151515151515
5810.366972477064220.63302752293578
5910.366972477064220.63302752293578
6010.4166666666666670.583333333333333
6110.366972477064220.63302752293578
6200.484848484848485-0.484848484848485
6300.36697247706422-0.36697247706422
6410.366972477064220.63302752293578
6500.36697247706422-0.36697247706422
6600.36697247706422-0.36697247706422
6700.416666666666667-0.416666666666667
6800.36697247706422-0.36697247706422
6910.366972477064220.63302752293578
7000.484848484848485-0.484848484848485
7100.36697247706422-0.36697247706422
7210.366972477064220.63302752293578
7310.4848484848484850.515151515151515
7400.484848484848485-0.484848484848485
7510.366972477064220.63302752293578
7610.366972477064220.63302752293578
7710.366972477064220.63302752293578
7810.4848484848484850.515151515151515
7910.4166666666666670.583333333333333
8000.36697247706422-0.36697247706422
8100.36697247706422-0.36697247706422
8210.4848484848484850.515151515151515
8300.36697247706422-0.36697247706422
8400.416666666666667-0.416666666666667
8510.366972477064220.63302752293578
8600.36697247706422-0.36697247706422
8710.366972477064220.63302752293578
8810.4848484848484850.515151515151515
8900.36697247706422-0.36697247706422
9010.366972477064220.63302752293578
9100.36697247706422-0.36697247706422
9200.36697247706422-0.36697247706422
9300.36697247706422-0.36697247706422
9400.36697247706422-0.36697247706422
9500.36697247706422-0.36697247706422
9610.366972477064220.63302752293578
9700.36697247706422-0.36697247706422
9800.36697247706422-0.36697247706422
9900.36697247706422-0.36697247706422
10010.366972477064220.63302752293578
10110.366972477064220.63302752293578
10200.36697247706422-0.36697247706422
10300.36697247706422-0.36697247706422
10400.36697247706422-0.36697247706422
10500.484848484848485-0.484848484848485
10600.36697247706422-0.36697247706422
10700.36697247706422-0.36697247706422
10800.484848484848485-0.484848484848485
10900.36697247706422-0.36697247706422
11000.36697247706422-0.36697247706422
11100.484848484848485-0.484848484848485
11200.36697247706422-0.36697247706422
11300.484848484848485-0.484848484848485
11400.484848484848485-0.484848484848485
11500.36697247706422-0.36697247706422
11600.36697247706422-0.36697247706422
11710.366972477064220.63302752293578
11800.36697247706422-0.36697247706422
11900.36697247706422-0.36697247706422
12010.366972477064220.63302752293578
12100.36697247706422-0.36697247706422
12200.36697247706422-0.36697247706422
12300.484848484848485-0.484848484848485
12410.4848484848484850.515151515151515
12510.366972477064220.63302752293578
12600.36697247706422-0.36697247706422
12700.36697247706422-0.36697247706422
12810.366972477064220.63302752293578
12900.36697247706422-0.36697247706422
13010.366972477064220.63302752293578
13100.36697247706422-0.36697247706422
13210.366972477064220.63302752293578
13300.484848484848485-0.484848484848485
13400.36697247706422-0.36697247706422
13500.36697247706422-0.36697247706422
13600.36697247706422-0.36697247706422
13710.4848484848484850.515151515151515
13810.4848484848484850.515151515151515
13900.36697247706422-0.36697247706422
14000.36697247706422-0.36697247706422
14110.4166666666666670.583333333333333
14210.4848484848484850.515151515151515
14300.36697247706422-0.36697247706422
14410.366972477064220.63302752293578
14500.36697247706422-0.36697247706422
14610.366972477064220.63302752293578
14700.484848484848485-0.484848484848485
14800.36697247706422-0.36697247706422
14900.36697247706422-0.36697247706422
15010.366972477064220.63302752293578
15110.366972477064220.63302752293578
15200.416666666666667-0.416666666666667
15300.416666666666667-0.416666666666667
15400.484848484848485-0.484848484848485


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.8564077900356850.287184419928630.143592209964315
70.7854206315542460.4291587368915070.214579368445754
80.7021398990644180.5957202018711630.297860100935582
90.7706171069942110.4587657860115780.229382893005789
100.7108885907608420.5782228184783160.289111409239158
110.6443878468164770.7112243063670450.355612153183523
120.5734305614088680.8531388771822640.426569438591132
130.4818148422905330.9636296845810670.518185157709467
140.413145740493510.826291480987020.58685425950649
150.5029542966099990.9940914067800030.497045703390001
160.4784373610174920.9568747220349850.521562638982508
170.401448689655820.802897379311640.59855131034418
180.3436234002632290.6872468005264580.656376599736771
190.4479510547457540.8959021094915080.552048945254246
200.5209162696320430.9581674607359140.479083730367957
210.4702748470438170.9405496940876330.529725152956183
220.4309021912377060.8618043824754110.569097808762294
230.5079198832381780.9841602335236440.492080116761822
240.5651804123186780.8696391753626440.434819587681322
250.5226751752856670.9546496494286670.477324824714333
260.5825866242384140.8348267515231710.417413375761586
270.6222214026274570.7555571947450850.377778597372543
280.6437500229320840.7124999541358320.356249977067916
290.6713341254392950.6573317491214110.328665874560705
300.6477084188199950.704583162360010.352291581180005
310.621670441753570.756659116492860.37832955824643
320.5935728658937310.8128542682125380.406427134106269
330.5637699825720270.8724600348559460.436230017427973
340.6011231587934130.7977536824131750.398876841206587
350.5736301361154240.8527397277691530.426369863884576
360.5448088219807090.9103823560385830.455191178019291
370.5493803851743630.9012392296512740.450619614825637
380.5463115156842720.9073769686314560.453688484315728
390.5825302364786690.8349395270426620.417469763521331
400.5562461582004780.8875076835990450.443753841799522
410.5514349285579350.8971301428841290.448565071442065
420.5437216464730840.9125567070538320.456278353526916
430.577694357525510.844611284948980.42230564247449
440.5535472226136910.8929055547726170.446452777386309
450.5284647859184230.9430704281631530.471535214081577
460.5623374462794610.8753251074410770.437662553720539
470.5384796093549740.9230407812900510.461520390645026
480.5703753255231050.859249348953790.429624674476895
490.598967362126740.802065275746520.40103263787326
500.577882695284340.8442346094313190.42211730471566
510.5849844441350140.8300311117299720.415015555864986
520.5875852932822930.8248294134354140.412414706717707
530.6140887395807560.7718225208384880.385911260419244
540.6019487227581850.7961025544836310.398051277241815
550.5814720166953190.8370559666093620.418527983304681
560.5785183883224270.8429632233551470.421481611677573
570.574641728688420.850716542623160.42535827131158
580.601393292004210.797213415991580.39860670799579
590.6265605026290440.7468789947419130.373439497370957
600.6421488849884420.7157022300231170.357851115011558
610.6659518298439930.6680963403120140.334048170156007
620.6708650338828480.6582699322343050.329134966117152
630.6536982412816420.6926035174367170.346301758718358
640.6773840640537070.6452318718925870.322615935946293
650.6603381282042790.6793237435914430.339661871795721
660.6423949734476740.7152100531046520.357605026552326
670.6299958002949710.7400083994100570.370004199705029
680.6109907731292840.7780184537414330.389009226870716
690.6371473322976490.7257053354047020.362852667702351
700.6375706535994760.7248586928010480.362429346400524
710.6185167043934680.7629665912130630.381483295606532
720.6449943114322960.7100113771354080.355005688567704
730.6481694033124310.7036611933751370.351830596687569
740.6469210528180710.7061578943638580.353078947181929
750.6736640039353580.6526719921292850.326335996064642
760.7005439536029640.5989120927940730.299456046397036
770.7276617655714440.5446764688571120.272338234428556
780.7335290594428340.5329418811143320.266470940557166
790.7547583391672520.4904833216654960.245241660832748
800.7384700415883790.5230599168232410.261529958411621
810.7212449995722590.5575100008554830.278755000427741
820.7309069492019960.5381861015960080.269093050798004
830.7130914726096680.5738170547806640.286908527390332
840.6965292191885240.6069415616229520.303470780811476
850.7272669837745980.5454660324508030.272733016225402
860.70862368392480.58275263215040.2913763160752
870.740595523523970.518808952952060.25940447647603
880.7566997112839580.4866005774320850.243300288716042
890.7384774090646540.5230451818706920.261522590935346
900.7718046498650570.4563907002698850.228195350134943
910.7535113580096020.4929772839807960.246488641990398
920.7342354805714440.5315290388571120.265764519428556
930.7140433579554270.5719132840891460.285956642044573
940.6930183838815820.6139632322368370.306981616118418
950.671260896285140.657478207429720.32873910371486
960.7087600385522470.5824799228955060.291239961447753
970.6866324942706420.6267350114587160.313367505729358
980.6637950397644940.6724099204710120.336204960235506
990.6403831346883080.7192337306233840.359616865311692
1000.6802369139145610.6395261721708790.31976308608544
1010.7222369801228150.5555260397543690.277763019877185
1020.6984750561121120.6030498877757770.301524943887888
1030.6738752349971650.6522495300056710.326124765002835
1040.6486005951683670.7027988096632650.351399404831633
1050.6355892191315150.7288215617369690.364410780868485
1060.6091289649823510.7817420700352980.390871035017649
1070.58242870268490.83514259463020.4175712973151
1080.5683091112884720.8633817774230550.431690888711528
1090.5410520543044810.9178958913910370.458947945695519
1100.514088360303520.971823279392960.48591163969648
1110.500558475321360.9988830493572810.49944152467864
1120.4737775574745020.9475551149490040.526222442525498
1130.4632000647394840.9264001294789670.536799935260516
1140.458249965912560.9164999318251210.541750034087439
1150.4318162843047490.8636325686094990.568183715695251
1160.406594229327720.8131884586554410.59340577067228
1170.4401395578659160.8802791157318320.559860442134084
1180.4131349760674780.8262699521349550.586865023932522
1190.3876705264911420.7753410529822830.612329473508858
1200.420883169872760.841766339745520.57911683012724
1210.3933244143572650.786648828714530.606675585642735
1220.367722387257630.735444774515260.63227761274237
1230.3714063448043470.7428126896086940.628593655195653
1240.365047548482330.7300950969646610.63495245151767
1250.3982172619453250.7964345238906490.601782738054675
1260.3692570838328910.7385141676657820.630742916167109
1270.3428962513074270.6857925026148550.657103748692573
1280.3748063780594710.7496127561189420.625193621940529
1290.3453043832489250.690608766497850.654695616751075
1300.382591133190550.76518226638110.61740886680945
1310.3489764413599870.6979528827199750.651023558640013
1320.3941836256650340.7883672513300680.605816374334966
1330.403147218170140.8062944363402810.596852781829859
1340.3627380601764970.7254761203529930.637261939823503
1350.3265660109974530.6531320219949060.673433989002547
1360.2958225748056170.5916451496112330.704177425194383
1370.2807798614615750.561559722923150.719220138538425
1380.294491364415840.588982728831680.70550863558416
1390.268816192653530.5376323853070610.73118380734647
1400.2528134208642130.5056268417284270.747186579135787
1410.359342643918020.7186852878360410.64065735608198
1420.5059515156711380.9880969686577240.494048484328862
1430.5229262060681840.9541475878636310.477073793931816
1440.5162493010341040.9675013979317920.483750698965896
1450.5460087731643510.9079824536712980.453991226835649
1460.5308820511727260.9382358976545480.469117948827274
1470.3908152921313550.781630584262710.609184707868645
1480.4309805449429550.8619610898859110.569019455057045


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK