Multiple Linear Regression - Estimated Regression Equation
LAND[t] = -2.09207385848736e-08 + 1.35060365726823e-12maand[t] + 1.02370630654816e-11jaar[t] + 1.00000000000001Antwerpen[t] + 0.999999999999998Vlaams_Brabant[t] + 0.999999999999982Waals_Brabant[t] + 0.999999999999999West_vlaanderen[t] + 1Oost_Vlaanderen[t] + 1.00000000000001Henehouwen[t] + 0.999999999999997Luik[t] + 0.99999999999999Limburg[t] + 0.999999999999987Luxemburg[t] + 1.00000000000001Namen[t] + 1.00000000000102Buitenland[t] + 0.999999999999998Brussel[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-2.09207385848736e-080-0.89040.378010.189005
maand1.35060365726823e-1200.84950.4001270.200064
jaar1.02370630654816e-1100.88170.382610.191305
Antwerpen1.00000000000001019904254258679300
Vlaams_Brabant0.999999999999998010073911968619800
Waals_Brabant0.999999999999982048330713801979.200
West_vlaanderen0.999999999999999014861367542696500
Oost_Vlaanderen1014480872644238300
Henehouwen1.00000000000001012276875422978300
Luik0.999999999999997019393586717507200
Limburg0.99999999999999011116131639688200
Luxemburg0.999999999999987050935295628651.200
Namen1.00000000000001084635575122375.200
Buitenland1.0000000000010203882870771598.0200
Brussel0.999999999999998047989044643512100


Multiple Linear Regression - Regression Statistics
Multiple R1
R-squared1
Adjusted R-squared1
F-TEST (value)1.90204320071234e+31
F-TEST (DF numerator)14
F-TEST (DF denominator)45
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.70113827139306e-11
Sum Squared Residuals1.30224213827917e-20


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15934085934087.37975077133622e-11
2590072590072-7.62850641531385e-11
3579799579799-6.90318485236653e-12
45742055742051.86278916484214e-11
5572775572775-5.72774822648984e-12
6572942572942-7.25584802997321e-12
7619567619567-1.26915734374448e-12
8625809625809-8.44279239055413e-12
96199166199165.50872034576466e-12
105876255876251.19211638667888e-11
115657425657424.72085643997451e-12
12557274557274-1.38280651752708e-12
13560576560576-1.67830060809423e-12
14548854548854-2.32360008636023e-12
15531673531673-2.67757279104338e-12
16525919525919-7.46063963872379e-12
175110385110383.53561981909556e-12
184986624986629.43816601210396e-12
195553625553622.33596915187685e-12
20564591564591-2.79324021454671e-12
21541657541657-2.05102776002348e-12
22527070527070-5.99137053779999e-13
23509846509846-7.19793732567421e-12
245142585142582.26547552636e-12
255169225169229.82840286931747e-13
26507561507561-9.80018124327868e-12
274926224926224.54769081978181e-12
28490243490243-3.70523395088314e-12
29469357469357-8.54297291295696e-12
304775804775809.33676263352122e-12
315283795283794.61425832624992e-12
32533590533590-5.66253013739248e-12
33517945517945-2.89228139140726e-12
345061745061749.40079022788247e-12
355018665018661.89485138892519e-12
36516141516141-3.29967448754348e-12
375282225282225.08972750538585e-12
385326385326384.42319308695324e-12
39536322536322-9.89169848893337e-13
405365355365356.67190325070782e-12
41523597523597-7.52561472554644e-12
42536214536214-1.85561302342513e-12
43586570586570-2.19191366569891e-12
445965945965944.18862168101818e-12
45580523580523-1.90220860971938e-12
465644785644781.38233683733179e-12
47557560557560-7.86797148852274e-13
48575093575093-1.87258355427524e-12
49580112580112-6.88452647393812e-12
505747615747612.48414434455111e-12
515632505632502.6254332851869e-12
52551531551531-2.19140537139534e-12
53537034537034-4.91702659137337e-13
545446865446864.7875431504107e-12
556009916009913.10063441150865e-12
56604378604378-3.71059972517458e-12
575861115861111.78535433973461e-12
585636685636685.10280842500386e-13
59548604548604-2.2469875102038e-12
605511745511746.22316489432227e-13


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.5626409238724810.8747181522550380.437359076127519
190.04178055726729070.08356111453458140.958219442732709
200.7780708591674870.4438582816650260.221929140832513
210.5461646767504140.9076706464991720.453835323249586
220.3428478931640870.6856957863281750.657152106835913
230.9999954703988889.05920222482952e-064.52960111241476e-06
240.9994642528205130.001071494358973050.000535747179486526
255.96604744662335e-101.19320948932467e-090.999999999403395
260.02198444531840070.04396889063680140.978015554681599
270.6245567952859830.7508864094280340.375443204714017
280.9975494648961490.004901070207701730.00245053510385086
290.3317466840499510.6634933680999020.668253315950049
303.38952033879348e-106.77904067758696e-100.999999999661048
310.4789701925290390.9579403850580780.521029807470961
320.9997441400173290.000511719965341660.00025585998267083
331.34413399133235e-062.68826798266471e-060.999998655866009
340.9534546323536950.09309073529261080.0465453676463054
351.04578474390057e-092.09156948780115e-090.999999998954215
360.999985341121312.9317757379926e-051.4658878689963e-05
370.3774962072186290.7549924144372580.622503792781371
380.9538370629619830.09232587407603350.0461629370380168
390.0007312317985538050.001462463597107610.999268768201446
400.4639187420307680.9278374840615360.536081257969232
412.62217493266171e-085.24434986532342e-080.999999973778251
420.01099863221805050.02199726443610110.989001367781949


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level110.44NOK
5% type I error level130.52NOK
10% type I error level160.64NOK