Multiple Linear Regression - Estimated Regression Equation
Aandelenkoers[t] = + 2162.31450281125 + 17.8087322021762Olieprijs[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2162.31450281125122.06237117.714800
Olieprijs17.80873220217622.2028288.084500


Multiple Linear Regression - Regression Statistics
Multiple R0.615794096477654
R-squared0.379202369256731
Adjusted R-squared0.373400522240438
F-TEST (value)65.3589052230932
F-TEST (DF numerator)1
F-TEST (DF denominator)107
p-value1.03117514527185e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation612.982636516373
Sum Squared Residuals40205005.2557504


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13030.292618.93039647503411.359603524969
22803.472660.42474250612143.045257493879
32767.632654.19168623536113.438313764641
42882.62577.43605044398305.163949556021
52863.362680.01434792851183.345652071486
62897.062689.09680135162207.963198648376
73012.612672.17850575956340.431494240443
83142.952695.15177030036447.798229699636
93032.932744.30387117837288.626128821630
103045.782724.00191646789321.778083532111
113110.522739.85168812783370.668311872174
123013.242634.95825545701378.281744542991
132987.12622.67023023751364.429769762493
142995.552653.83551159132341.714488408685
152833.182620.1770077292213.002992270798
162848.962614.30012610248234.659873897516
172794.832671.10998182743123.720018172574
182845.262654.5478608794190.712139120598
192915.032613.94395145844301.086048541560
202892.632623.56066684762269.069333152385
212604.422630.50607240646-26.0860724064642
222641.652549.4763408865692.1736591134375
232659.812504.24216109304155.567838906965
242638.532506.37920895730132.150791042704
252720.252515.28357505838204.966424941616
262745.882524.90029044756220.979709552441
272735.72595.24478264616140.455217353844
282811.72624.80727810177186.892721898232
292799.432618.39613450898181.033865491015
302555.282601.65592623894-46.3759262389387
312304.982618.03995986494-313.059959864941
322214.952626.94432596603-411.994325966029
332065.812667.54823538699-601.738235386991
341940.492649.20524121875-708.71524121875
3520422597.91609247648-555.916092476482
361995.372651.34228908301-655.972289083011
371946.812700.67247728304-753.862477283039
381765.92738.07081490761-972.170814907609
391635.252694.26133369026-1059.01133369026
401833.422605.21767267937-771.797672679374
411910.432616.0809993227-705.650999322702
421959.672648.13671728662-688.466717286619
431969.62665.23310020071-695.633100200708
442061.412689.09680135162-627.686801351624
452093.482642.2598356599-548.779835659901
462120.882680.19243525054-559.312435250536
472174.562674.49364094584-499.93364094584
482196.722689.27488867365-492.554888673646
492350.442709.04258141806-358.602581418061
502440.252705.83700962167-265.587009621670
512408.642744.12578385635-335.485783856349
522472.812753.38632460148-280.57632460148
532407.62823.55272947805-415.952729478055
542454.622795.23684527659-340.616845276594
552448.052834.59414344340-386.544143443404
562497.842907.43185815030-409.591858150304
572645.642927.0214635727-281.381463572698
582756.763037.43560322619-280.675603226190
592849.272956.76204635033-107.492046350332
602921.442878.5817119827842.8582880172212
612981.852949.9947281135131.8552718864944
623080.582978.84487428103101.735125718969
633106.223112.94462776342-6.72462776341806
643119.313110.807579899168.50242010084331
653061.263084.80683088398-23.5468308839791
663097.313147.13739359160-49.8273935915961
673161.693191.83731141906-30.1473114190584
683257.163301.36101446244-44.2010144624423
693277.013297.97735534403-20.9673553440284
703295.323215.7010125699779.6189874300257
713363.993161.74055399738202.249446002619
723494.173184.89190586021309.278094139790
733667.033293.52517229348373.504827706516
743813.063261.29136700755551.768632992454
753917.963284.44271887037633.517281129625
763895.513376.51386435563518.996135644374
773801.063445.077483334355.982516665996
783570.123404.47357391304165.646426086958
793701.613487.46226597518214.147734024817
803862.273486.03756739901376.232432600991
813970.13306.34745947905663.752540520949
824138.523231.37269690789907.147303092111
834199.753220.86554490861978.884455091394
844290.893275.360265447261015.52973455274
854443.913142.507123219031301.40287678097
864502.643201.275939486211301.36406051379
874356.983265.031200771091.94879923000
884591.273367.075236288471224.19476371153
894696.963367.609498254541329.35050174546
904621.43414.268376624241207.13162337576
914562.843502.599688347031060.24031165297
924202.523434.57033133472767.94966866528
934296.493522.18929376943774.300706230573
944435.233617.46601105107817.76398894893
954105.183811.40310473277293.776895267232
964116.683775.78564032842340.894359671584
973844.493804.8138738179639.6761261820362
983720.983837.93811571401-116.958115714011
993674.43992.87408587294-318.474085872944
1003857.624115.04198877987-257.421988779873
1013801.064371.48773249121-570.42773249121
1023504.374525.35517871801-1020.98517871801
1033032.64580.9184231888-1548.31842318880
1043047.034229.37404951784-1182.34404951784
1052962.343968.47612275596-1006.13612275596
1062197.823510.96979248206-1313.14979248206
1072014.453150.34296538799-1135.89296538799
1081862.832942.33697326657-1079.50697326657
1091905.412968.87198424781-1063.46198424781


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.006348663500632850.01269732700126570.993651336499367
60.001099444154586330.002198888309172660.998900555845414
70.0004074058813428410.0008148117626856820.999592594118657
80.0003966873602542490.0007933747205084970.999603312639746
97.89989492083425e-050.0001579978984166850.999921001050792
101.56000342593247e-053.12000685186494e-050.99998439996574
113.47934867552619e-066.95869735105238e-060.999996520651324
128.43522122863114e-071.68704424572623e-060.999999156477877
131.72563395771515e-073.4512679154303e-070.999999827436604
143.03703810351365e-086.0740762070273e-080.999999969629619
156.61432919038221e-091.32286583807644e-080.99999999338567
161.17242631018082e-092.34485262036164e-090.999999998827574
176.04693341791086e-101.20938668358217e-090.999999999395307
181.33824094530015e-102.67648189060030e-100.999999999866176
192.20790651931684e-114.41581303863368e-110.99999999997792
203.40437459334908e-126.80874918669816e-120.999999999996596
211.71527742004615e-113.43055484009230e-110.999999999982847
224.90422684527615e-129.8084536905523e-120.999999999995096
238.54286203555252e-131.70857240711050e-120.999999999999146
241.4883271850137e-132.9766543700274e-130.999999999999851
252.6316848782319e-145.2633697564638e-140.999999999999974
264.65056854065379e-159.30113708130758e-150.999999999999995
279.73093895442232e-161.94618779088446e-150.999999999999999
281.71652245029617e-163.43304490059234e-161
292.99415835069793e-175.98831670139587e-171
307.34969047059646e-171.46993809411929e-161
312.89328572553853e-145.78657145107706e-140.999999999999971
323.73049417117161e-127.46098834234322e-120.99999999999627
339.0905888230635e-101.8181177646127e-090.999999999090941
345.02344651377052e-081.00468930275410e-070.999999949765535
351.94017699726980e-073.88035399453959e-070.9999998059823
361.02220485424182e-062.04440970848364e-060.999998977795146
375.64856331123564e-061.12971266224713e-050.999994351436689
384.30029463775195e-058.6005892755039e-050.999956997053622
390.0002650157329402710.0005300314658805410.99973498426706
400.0005516496046945350.001103299209389070.999448350395305
410.0008220862135739650.001644172427147930.999177913786426
420.001042626033745160.002085252067490320.998957373966255
430.001262019687918280.002524039375836560.998737980312082
440.001260535992170660.002521071984341320.99873946400783
450.001199869390248640.002399738780497280.998800130609751
460.001094302895023020.002188605790046040.998905697104977
470.0009331783708194590.001866356741638920.99906682162918
480.0007812381087529780.001562476217505960.999218761891247
490.000561707326748780.001123414653497560.999438292673251
500.0003826450786377380.0007652901572754760.999617354921362
510.0002714343154462470.0005428686308924940.999728565684554
520.0001894550881913930.0003789101763827860.999810544911809
530.0001448963013785530.0002897926027571070.999855103698621
540.0001096452734962440.0002192905469924870.999890354726504
558.84008046486952e-050.0001768016092973900.999911599195351
567.5624237519692e-050.0001512484750393840.99992437576248
576.42798129489181e-050.0001285596258978360.99993572018705
585.71274500332933e-050.0001142549000665870.999942872549967
594.75653519455404e-059.51307038910807e-050.999952434648054
603.91729220157931e-057.83458440315861e-050.999960827077984
613.25083773007257e-056.50167546014514e-050.9999674916227
622.71416714692925e-055.42833429385849e-050.99997285832853
632.05287267317932e-054.10574534635865e-050.999979471273268
641.48842479126919e-052.97684958253839e-050.999985115752087
651.07317147370203e-052.14634294740407e-050.999989268285263
667.5217681730469e-061.50435363460938e-050.999992478231827
675.09539505072553e-061.01907901014511e-050.99999490460495
683.20368402622022e-066.40736805244044e-060.999996796315974
691.98616297407777e-063.97232594815554e-060.999998013837026
701.27296806399650e-062.54593612799299e-060.999998727031936
718.54012664289732e-071.70802532857946e-060.999999145987336
725.84354147943654e-071.16870829588731e-060.999999415645852
733.82073442567538e-077.64146885135077e-070.999999617926557
743.05395294236347e-076.10790588472693e-070.999999694604706
752.56888852601365e-075.1377770520273e-070.999999743111147
761.57167275306546e-073.14334550613093e-070.999999842832725
777.62525425968029e-081.52505085193606e-070.999999923747457
783.56924241270577e-087.13848482541155e-080.999999964307576
791.58048020824701e-083.16096041649402e-080.999999984195198
807.18329003099816e-091.43665800619963e-080.99999999281671
814.95902083927676e-099.9180416785535e-090.99999999504098
826.44265686878811e-091.28853137375762e-080.999999993557343
839.69797526709203e-091.93959505341841e-080.999999990302025
841.49188768875025e-082.98377537750050e-080.999999985081123
857.13154348932393e-081.42630869786479e-070.999999928684565
862.98083847520212e-075.96167695040423e-070.999999701916153
875.52721106925748e-071.10544221385150e-060.999999447278893
881.88402810369839e-063.76805620739678e-060.999998115971896
891.22485388094627e-052.44970776189253e-050.99998775146119
906.61369893028782e-050.0001322739786057560.999933863010697
910.0003101204268247150.000620240853649430.999689879573175
920.000815257160710610.001630514321421220.99918474283929
930.003379316810147670.006758633620295350.996620683189852
940.02632719765190800.05265439530381600.973672802348092
950.06521545151597490.1304309030319500.934784548484025
960.2045285439636340.4090570879272670.795471456036366
970.3849290716505880.7698581433011760.615070928349412
980.5906363601571630.8187272796856740.409363639842837
990.7341195359372130.5317609281255730.265880464062787
1000.9361891619987940.1276216760024120.063810838001206
1010.991468156758530.01706368648294070.00853184324147033
1020.9929580634423160.01408387311536720.0070419365576836
1030.9959771030900490.008045793819902610.00402289690995131
1040.9823809790162440.03523804196751180.0176190209837559


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level890.89NOK
5% type I error level930.93NOK
10% type I error level940.94NOK