Multiple Linear Regression - Estimated Regression Equation
jaar[t] = + 0.00131729825631988 -3.03481194081606e-09totaal[t] -3.69292016553485e-10vlaamsm[t] + 4.56677402633589e-09vlaamsvr[t] + 5.00117340245021e-09waalsm[t] + 3.87504151472791e-09waalsvr[t] + 1.34813310231096e-09brusselm[t] + 6.37005796506606e-09brusselvr[t] -6.45150461363158e-07t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.0013172982563198804051.726600
totaal-3.03481194081606e-090-1.77040.0840940.042047
vlaamsm-3.69292016553485e-100-0.20310.8400970.420048
vlaamsvr4.56677402633589e-0902.23180.0311560.015578
waalsm5.00117340245021e-0902.60960.0125960.006298
waalsvr3.87504151472791e-0902.12160.0399660.019983
brusselm1.34813310231096e-0900.7570.4533940.226697
brusselvr6.37005796506606e-0903.27920.0021280.001064
t-6.45150461363158e-070-302.288100


Multiple Linear Regression - Regression Statistics
Multiple R0.999999778232433
R-squared0.999999556464916
Adjusted R-squared0.999999469921485
F-TEST (value)11554886.880063
F-TEST (DF numerator)8
F-TEST (DF denominator)41
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.95569733332192e-09
Sum Squared Residuals1.98365074110405e-15


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
10.001317355090940.001317353243757441.84718255963141e-09
20.00131668365613320.001316679953819263.70231393923294e-09
30.001316012905416880.001316007373146065.53227081618118e-09
40.00131534283774610.001315341744357271.0933888295074e-09
50.001314673452078030.00131467833482723-4.88274919785928e-09
60.001314004747371990.00131400772872734-2.9813553511131e-09
70.001313336722589390.001313336338248823.84340568361696e-10
80.001312669376693770.00131267675396717-7.37727340713629e-09
90.001312002708650750.00131200534534465-2.63669389474355e-09
100.001311336717428090.001311326517736581.01996915030359e-08
110.00131067140199560.001310661401242621.00007529802032e-08
120.001310006761325220.001310001214765815.54655941001658e-09
130.001309342794390940.00130934720987176-4.41548081472657e-09
140.001308679500168860.00130868241626368-2.91609481895961e-09
150.001308016877637130.001308013046411153.83122598353473e-09
160.001307354925775980.00130735570456134-7.78785366354438e-10
170.00130669364356770.00130669748083376-3.8372660599239e-09
180.001306033029996630.00130603645677084-3.426774214008e-09
190.001305373084049180.00130538272984969-9.64580050530537e-09
200.00130471380471380.00130472347095906-9.6662452579312e-09
210.001304055190980990.00130405596739229-7.76411303210684e-10
220.001303397241843260.001303393274175823.96766743888206e-09
230.001302739956295180.001302734326816565.6294786153514e-09
240.001302083333333330.001302080291907443.04142589313673e-09
250.001301427371956340.001301426670682267.01274080409921e-10
260.001300772071164820.001300766769868135.30129669173382e-09
270.001300117429961420.00130011745484029-2.48788777898484e-11
280.001299463447350770.00129947555525168-1.21079009099425e-08
290.001298810122339530.00129882483734946-1.47150099246246e-08
300.001298157453936350.00129816699234258-9.53840623210895e-09
310.001297505441151850.00129750715551598-1.71436413249068e-09
320.001296854082998660.00129685500677026-9.23771602036491e-10
330.001296203378491390.00129620276704856.11442887616187e-10
340.001295553326646610.00129554846564.86104660520245e-09
350.001294903926482870.00129489846560245.46088047661426e-09
360.001294255177020710.001294244413126271.07638944429229e-08
370.001293607077282590.001293596140153271.09371293189964e-08
380.001292959626292960.00129294795303911.16732538617759e-08
390.001292312823078210.001292307170036275.65304193923788e-09
400.001291666666666670.001291662718206413.94846025271622e-09
410.001291021156088620.00129102553916401-4.3830753849401e-09
420.001290376290376290.001290377076004-7.85627713782408e-10
430.001289732068563820.00128973931678431-7.24822049131172e-09
440.001289088489687290.0012890970721917-8.58250441172545e-09
450.00128844555278470.00128845677800304-1.12252183341383e-08
460.001287803256895980.00128780535990986-2.10301387656799e-09
470.001287161601062950.001287161556050324.50126242515424e-11
480.001286520584329350.001286516402484224.1818451343801e-09
490.001285880205740830.001285878357951871.84778895974323e-09
500.001285240464344940.001285234534088675.930256270055e-09


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.02219398540274870.04438797080549730.977806014597251
130.01139955174647510.02279910349295020.988600448253525
140.009252499313453720.01850499862690740.990747500686546
150.003958119972832120.007916239945664250.996041880027168
160.001845411629697360.003690823259394720.998154588370303
170.0008134162813177720.001626832562635540.999186583718682
180.008703139097001510.0174062781940030.991296860902999
190.02186705182888320.04373410365776640.978132948171117
200.06454590825463480.129091816509270.935454091745365
210.2022910468685750.4045820937371490.797708953131425
220.2156064962317820.4312129924635630.784393503768218
230.2896680497126230.5793360994252470.710331950287377
240.3870053839996680.7740107679993350.612994616000332
250.4238814191040370.8477628382080740.576118580895963
260.6278343736874110.7443312526251790.372165626312589
270.9379733373692920.1240533252614160.0620266626307078
280.9175612970203090.1648774059593830.0824387029796914
290.904471802918940.191056394162120.0955281970810598
300.9833731569471520.03325368610569530.0166268430528477
310.9999168585450780.0001662829098441718.31414549220857e-05
320.9999998232590043.53481992277166e-071.76740996138583e-07
330.9999999444011111.11197777128063e-075.55988885640313e-08
340.9999997176189065.64762188509697e-072.82381094254849e-07
350.9999982359527323.52809453663568e-061.76404726831784e-06
360.9999902990225561.94019548888317e-059.70097744441583e-06
370.9999858262291012.83475417974234e-051.41737708987117e-05
380.9998085349217260.0003829301565478640.000191465078273932


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level110.407407407407407NOK
5% type I error level170.62962962962963NOK
10% type I error level170.62962962962963NOK