Multiple Linear Regression - Estimated Regression Equation
totaal[t] = + 4259.99549337886 -3221141.49097529jaar[t] + 1.06468303413298pop[t] + 0.997923725333532totaal_vlaams_gewest[t] + 0.00160827991792537pop_vlaams_gewest[t] + 0.996295350589865totaal_waals_gewest[t] -0.00393208881846759waals_gewest_pop[t] + 1.00701452876714totaal_brussel[t] + 0.00259976958969175totaal_brussel_pop[t] -2.03578271407261t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)4259.9954933788613868.5988890.30720.7603090.380154
jaar-3221141.4909752910515103.741065-0.30630.7609390.380469
pop1.064683034132989.5056260.1120.9113790.45569
totaal_vlaams_gewest0.9979237253335320.01065893.634100
pop_vlaams_gewest0.001608279917925370.0029870.53840.5932750.296637
totaal_waals_gewest0.9962953505898650.01285177.527200
waals_gewest_pop-0.003932088818467590.008387-0.46880.6417310.320865
totaal_brussel1.007014528767140.01035197.289600
totaal_brussel_pop0.002599769589691750.0055290.47020.6407570.320379
t-2.035782714072616.741868-0.3020.7642460.382123


Multiple Linear Regression - Regression Statistics
Multiple R0.999998861394583
R-squared0.999997722790462
Adjusted R-squared0.999997210418316
F-TEST (value)1951701.96220418
F-TEST (DF numerator)9
F-TEST (DF denominator)40
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.658700569201215
Sum Squared Residuals17.3554575946402


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
191909189.738649788580.261350211418619
292519250.510468494990.48953150500778
393289328.82640512686-0.826405126859349
494289428.66295146443-0.662951464427828
594999498.8753200770.124679922994852
695569555.852902202530.147097797470653
796069604.991361049481.00863895051531
896329631.027720740660.972279259342775
996609660.04158984239-0.0415898423949719
1096519651.36985849842-0.369858498422573
1196959696.21386530547-1.21386530547438
1297279727.34283362528-0.342833625279606
1397579757.16854792457-0.168547924568667
1497889788.19047706362-0.190477063620376
1598139812.10137654480.898623455197849
1698239823.17358485239-0.173584852386299
1798379837.02231861561-0.0223186156065668
1898429842.01731381008-0.0173138100838456
1998559855.97668345753-0.976683457533613
2098639863.99487212831-0.994872128314935
2198559854.034312317290.965687682708417
2298589858.18082692109-0.180826921090055
2398539853.11766509031-0.117665090313815
2498589857.266953197590.733046802408137
2598599858.203359288520.796640711481815
2698659864.369716511080.630283488921963
2798769876.25287110742-0.252871107418838
2899289927.245789437050.754210562950916
2999489948.13292716371-0.132927163713349
3099879988.08967542191-1.08967542191076
311002210021.939991680.0600083200406552
321006810067.82437011690.175629883083909
331010110100.83312413820.166875861801659
341013110130.79003099150.20996900852421
351014310142.83469940330.165300596657694
361017010169.82147389210.178526107853296
371019210191.86627317810.133726821901641
381021410213.85677314850.143226851459803
391023910239.8957700578-0.895770057766641
401026310262.91746010540.0825398946474249
411031010309.99201285890.00798714107484745
421035510356.0762788804-1.07627888040358
431039610396.0493037488-0.0493037488448024
441044610446.0684604789-0.0684604789478801
451051110511.0003766129-0.000376612915013426
461058510584.02745374050.972546259508263
471066710666.94503486390.0549651360589481
481075310754.1043764276-1.10437642760191
491084010839.94616075840.0538392415576985
501095110950.21737784870.78262215131052


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.876347637578390.2473047248432210.12365236242161
140.7888686879973960.4222626240052080.211131312002604
150.7179121801815050.564175639636990.282087819818495
160.6028536799923120.7942926400153760.397146320007688
170.7058717780940410.5882564438119180.294128221905959
180.6347704455886570.7304591088226850.365229554411343
190.7245124907807620.5509750184384770.275487509219238
200.6476273823341860.7047452353316280.352372617665814
210.7602448568049940.4795102863900120.239755143195006
220.7410634789764350.517873042047130.258936521023565
230.7554090766334260.4891818467331480.244590923366574
240.6933080621631440.6133838756737130.306691937836856
250.6050949162794620.7898101674410750.394905083720538
260.5527513688003450.894497262399310.447248631199655
270.5776746725458480.8446506549083040.422325327454152
280.7724643029724360.4550713940551280.227535697027564
290.738090473739760.5238190525204810.26190952626024
300.6755132025257150.648973594948570.324486797474285
310.5802870343680180.8394259312639640.419712965631982
320.688451715179840.6230965696403210.31154828482016
330.578930540353630.842138919292740.42106945964637
340.4821981656212530.9643963312425060.517801834378747
350.5181564390423520.9636871219152950.481843560957648
360.5023947075120040.9952105849759920.497605292487996
370.5514008423460990.8971983153078020.448599157653901


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