Multiple Linear Regression - Estimated Regression Equation
totaal[t] = -15.6001765674056 + 0.97647387586164vlaams_man[t] + 1.02996739943037vlaams_vrouw[t] + 1.01992543411572waals_man[t] + 0.97401985047538waals_vrouw[t] + 0.930099163421406brussel_man[t] + 1.0769098760506brussel_vrouw[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-15.600176567405622.712338-0.68690.4958590.24793
vlaams_man0.976473875861640.03001832.5300
vlaams_vrouw1.029967399430370.02795236.847400
waals_man1.019925434115720.03543928.779600
waals_vrouw0.974019850475380.05013919.426300
brussel_man0.9300991634214060.05695316.330900
brussel_vrouw1.07690987605060.05123321.019900


Multiple Linear Regression - Regression Statistics
Multiple R0.999998914665498
R-squared0.999997829332175
Adjusted R-squared0.999997526448292
F-TEST (value)3301588.12276727
F-TEST (DF numerator)6
F-TEST (DF denominator)43
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.620267454098936
Sum Squared Residuals16.5434637284182


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
191909189.849001224280.15099877571652
292519250.914016010890.085983989109537
393289328.82387171932-0.823871719319845
494289428.72617488975-0.726174889753537
594999498.714699883390.285300116614198
695569555.808036873640.191963126356304
796069604.921415710991.07858428900623
896329631.053169998410.946830001593881
996609660.06787256558-0.0678725655830496
1096519651.22128715569-0.221287155686387
1196959696.23004665785-1.23004665784747
1297279727.24607522817-0.246075228173232
1397579757.21964040837-0.219640408367745
1497889788.00923723273-0.00923723273375928
1598139811.845150774191.15484922580903
1698239822.853202965970.146797034031338
1798379836.795504843120.204495156877387
1898429841.932362418680.0676375813202784
1998559855.96734908405-0.967349084045138
2098639864.08825733912-1.0882573391159
2198559854.187951052430.812048947567841
2298589858.23473202137-0.234732021372657
2398539853.37098654518-0.370986545184052
2498589857.436227090980.563772909023205
2598599858.431180240310.568819759692135
2698659864.395405885460.604594114544728
2798769876.36155131501-0.361551315005284
2899289927.245746030380.754253969618827
2999489948.27839696207-0.27839696207337
3099879988.06948203062-1.06948203062279
311002210021.97281780970.0271821902954123
321006810067.96401477390.0359852261213185
331010110100.92163063360.0783693664132059
341013110130.77564813930.2243518607261
351014310142.86174573550.138254264537816
361017010169.84870323510.151296764928336
371019210191.78931986630.210680133699415
381021410213.82325368660.176746313410042
391023910239.7648246419-0.764824641881989
401026310262.78291891330.217081086658497
411031010309.79016581350.209834186466298
421035510355.6225208629-0.622520862872554
431039610395.88139974280.118600257188467
441044610445.89779227960.102207720395697
451051110511.0248231572-0.0248231571508038
461058510583.95232291831.04767708173438
471066710667.0730390517-0.073039051710533
481075310754.1612999163-1.16129991627919
491084010840.3519329528-0.351932952766044
501095110950.44179371190.558206288088902


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.1876728441271130.3753456882542270.812327155872887
110.1027517553050320.2055035106100630.897248244694968
120.2659089794326840.5318179588653690.734091020567316
130.1859824538366690.3719649076733370.814017546163331
140.1812431771697990.3624863543395970.818756822830201
150.3740531536505890.7481063073011770.625946846349411
160.4033882530461290.8067765060922580.596611746953871
170.4198872854932060.8397745709864110.580112714506794
180.3922006091993380.7844012183986750.607799390800662
190.4527544154539390.9055088309078780.547245584546061
200.5030136340639520.9939727318720960.496986365936048
210.8459622123446240.3080755753107510.154037787655376
220.8095219774905140.3809560450189720.190478022509486
230.8225167640412480.3549664719175030.177483235958752
240.8729118466300960.2541763067398080.127088153369904
250.8760810673306220.2478378653387560.123918932669378
260.904830734273890.190338531452220.0951692657261099
270.8663301474704930.2673397050590140.133669852529507
280.9540286206756270.09194275864874620.0459713793243731
290.9391666527899480.1216666944201030.0608333472100516
300.9411656263858810.1176687472282380.0588343736141189
310.9140363925838540.1719272148322920.0859636074161462
320.8630975640804760.2738048718390480.136902435919524
330.8137326578172290.3725346843655420.186267342182771
340.7629520100497760.4740959799004480.237047989950224
350.7596820862775830.4806358274448330.240317913722416
360.6898517917016630.6202964165966740.310148208298337
370.5693341879677050.8613316240645910.430665812032295
380.4614151135507080.9228302271014160.538584886449292
390.5943775798090520.8112448403818970.405622420190948
400.5149091829654430.9701816340691140.485090817034557


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 level10.032258064516129OK