Multiple Linear Regression - Estimated Regression Equation
totaal[t] = -182.979537835799 + 121523.779182633jaar[t] + 0.949247856899833vlaams_man[t] + 1.06181457703044vlaams_vrouw[t] + 1.04052668979494waals_man[t] + 0.951487691077562waals_vrouw[t] + 0.944015429707455brussel_man[t] + 1.06350547762047brussel_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)-182.979537835799410.039367-0.44620.657710.328855
jaar121523.779182633297238.0863790.40880.6847320.342366
vlaams_man0.9492478568998330.07316712.973700
vlaams_vrouw1.061814577030440.08285212.815700
waals_man1.040526689794940.06180516.835800
waals_vrouw0.9514876910775620.07483912.713700
brussel_man0.9440154297074550.06683114.125500
brussel_vrouw1.063505477620470.0612517.363300


Multiple Linear Regression - Regression Statistics
Multiple R0.999998918967823
R-squared0.999997837936815
Adjusted R-squared0.999997477592951
F-TEST (value)2775121.03670975
F-TEST (DF numerator)7
F-TEST (DF denominator)42
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.626362981975182
Sum Squared Residuals16.4778845779314


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
191909189.806787479650.193212520348749
292519250.89297595280.107024047200173
393289328.83327762726-0.833277627256444
494289428.74466862748-0.744668627476104
594999498.787994681550.212005318449579
695569555.850193509810.149806490188848
796069604.876999183011.12300081698817
896329631.060300343940.939699656064565
996609660.00592997866-0.00592997865459314
1096519651.18230128143-0.182301281434822
1196959696.19713987322-1.19713987321767
1297279727.25427320046-0.254273200464552
1397579757.23062577258-0.230625772581267
1497889788.02485290436-0.0248529043596578
1598139811.797199677461.20280032253908
1698239822.850838406510.149161593486654
1798379836.793519811940.206480188060833
1898429841.938467140210.0615328597902657
1998559856.0403972326-1.04039723259927
2098639864.13873393986-1.13873393985831
2198559854.266631714250.733368285751476
2298589858.27526716294-0.275267162937924
2398539853.38829861344-0.388298613440543
2498589857.450277950810.549722049184736
2598599858.453276301380.546723698614362
2698659864.385151879090.614848120911181
2798769876.33572652952-0.33572652952084
2899289927.22527294460.774727055398973
2999489948.23146181687-0.231461816874587
3099879988.01209308531-1.01209308531383
311002210021.9580313980.0419686019875126
321006810067.95794866170.0420513382558687
331010110100.88914017170.110859828263561
341013110130.77162370990.228376290090589
351014310142.88321019310.116789806916784
361017010169.8528009790.147199021041021
371019210191.82811920920.171880790829415
381021410213.81043960550.189560394467558
391023910239.7854506824-0.785450682363405
401026310262.8209690240.179030976016871
411031010309.80189654460.198103455422551
421035510355.6028994992-0.602899499171384
431039610395.84722241760.152777582396436
441044610445.87733169710.122668302879144
451051110511.0223304006-0.0223304006075853
461058510583.94150386411.05849613591686
471066710667.0439808004-0.0439808003605646
481075310754.076079745-1.07607974495746
491084010840.4018448984-0.401844898358375
501095110950.49624187570.503758124347383


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.179330818900220.358661637800440.82066918109978
120.2820259994022910.5640519988045820.717974000597709
130.1774932603240340.3549865206480690.822506739675966
140.1776157622915660.3552315245831310.822384237708434
150.2285475218593540.4570950437187080.771452478140646
160.236500015677490.4730000313549810.76349998432251
170.21079154682380.4215830936476010.7892084531762
180.2373313851764920.4746627703529840.762668614823508
190.2805239137690850.561047827538170.719476086230915
200.41230798383270.82461596766540.5876920161673
210.5422111551268610.9155776897462770.457788844873139
220.579583718931530.8408325621369390.42041628106847
230.6208323820298050.7583352359403890.379167617970195
240.5361671324053720.9276657351892550.463832867594628
250.5648803907112880.8702392185774250.435119609288712
260.6116302151733190.7767395696533620.388369784826681
270.8015767975116980.3968464049766030.198423202488302
280.9034788496246420.1930423007507160.0965211503753579
290.9267543084123020.1464913831753950.0732456915876977
300.9443176336785940.1113647326428110.0556823663214057
310.9127080034296480.1745839931407030.0872919965703517
320.8593092517476710.2813814965046580.140690748252329
330.7938838114569740.4122323770860520.206116188543026
340.7313835768613710.5372328462772590.268616423138629
350.7592442553341650.4815114893316690.240755744665835
360.7047129256676390.5905741486647210.295287074332361
370.6490720106481960.7018559787036090.350927989351804
380.5454595551005170.9090808897989650.454540444899482
390.9207827426251440.1584345147497110.0792172573748556


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