Multiple Linear Regression - Estimated Regression Equation
Werkloosheid_totaal[t] = + 3.07920169045227e-11 + 1`Basisonderwijs(lager_1ste_graad_secundair)`[t] + 0.999999999999997`Secundair_onderwijs(2de,3de,4de_graad)`[t] + 4.37686467777739e-14Duaal_onderwijs[t] + 1Hoger_onderwijs[t] -2.5450870214779e-15`Hoger_onderwijs(Bachelor)`[t] + 1.00000000000002Leercontract[t] + 0.999999999999994Andere_studies[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.07920169045227e-1100.16860.8669710.433486
`Basisonderwijs(lager_1ste_graad_secundair)`1025935905943045600
`Secundair_onderwijs(2de,3de,4de_graad)`0.999999999999997045080642873114400
Duaal_onderwijs4.37686467777739e-1402.14010.0384960.019248
Hoger_onderwijs1026921704512740400
`Hoger_onderwijs(Bachelor)`-2.5450870214779e-150-0.43250.6677180.333859
Leercontract1.00000000000002026099248179737.300
Andere_studies0.999999999999994017173938788306100


Multiple Linear Regression - Regression Statistics
Multiple R1
R-squared1
Adjusted R-squared1
F-TEST (value)2.1257777476141e+31
F-TEST (DF numerator)7
F-TEST (DF denominator)40
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.12105911064094e-11
Sum Squared Residuals1.79955670033317e-20


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15750935750931.17054705699366e-10
2557560557560-3.09840044650481e-11
3564478564478-1.42816484972187e-11
4580523580523-1.6306503077147e-11
5596594596594-1.43734853436076e-11
6586570586570-1.51366558638562e-11
7536214536214-6.25977281492276e-12
8523597523597-3.16058749910433e-12
9536535536535-3.35926151082337e-12
10536322536322-1.33608211251761e-11
11532638532638-1.04627607232483e-11
12528222528222-4.05254896999981e-12
135161415161415.6027796510877e-14
14501866501866-1.57735518109113e-11
15506174506174-1.2439534067914e-11
16517945517945-3.95267741198441e-12
175335905335902.19025739235807e-12
185283795283791.68330559883462e-12
19477580477580-1.81824428740362e-12
20469357469357-5.74263553561786e-12
21490243490243-1.61837420810543e-12
22492622492622-4.882997469632e-12
23507561507561-8.13856622468064e-12
245169225169229.69924938705763e-13
255142585142582.62718147845943e-12
265098465098468.17045994505932e-12
275270705270701.35648022702143e-11
285416575416571.46927125530772e-11
295645915645915.28873053987658e-12
305553625553622.43610944541725e-12
314986624986621.38223248068633e-11
325110385110381.45891892874267e-11
335259195259191.25228391687774e-11
345316735316738.5412331068275e-12
355488545488542.63713043528262e-12
36560576560576-1.45362715320185e-12
37557274557274-1.84540319021634e-12
38565742565742-2.36770029437351e-12
39587625587625-3.46731378362483e-12
40619916619916-3.38371412048413e-12
41625809625809-1.63024405952252e-12
42619567619567-2.46782457507115e-12
43572942572942-8.77376824063736e-13
445727755727756.79747509181474e-12
45574205574205-1.11908663062292e-12
465797995797991.75745796343303e-13
47590072590072-1.1440570830403e-11
48593408593408-1.166266298323e-11


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.04351772342829760.08703544685659510.956482276571702
120.8576330162577030.2847339674845940.142366983742297
130.9999998649577682.7008446444121e-071.35042232220605e-07
140.6555799505110990.6888400989778020.344420049488901
150.9999847405778973.05188442069294e-051.52594221034647e-05
160.9999998996106552.00778689705816e-071.00389344852908e-07
170.752297150306990.4954056993860190.24770284969301
180.08965354727881110.1793070945576220.910346452721189
190.9999990327053511.93458929869218e-069.67294649346092e-07
200.9999999904524891.90950220836013e-089.54751104180066e-09
210.005495506832966170.01099101366593230.994504493167034
220.000323645943762470.000647291887524940.999676354056238
235.4114396575131e-131.08228793150262e-120.999999999999459
245.89951599763519e-050.0001179903199527040.999941004840024
250.7870109169043510.4259781661912980.212989083095649
260.004391535747981420.008783071495962840.995608464252019
270.4604331368448160.9208662736896320.539566863155184
280.4351358502790690.8702717005581390.564864149720931
290.01134551548440920.02269103096881830.988654484515591
300.1949243080105220.3898486160210440.805075691989478
310.00121766088525920.00243532177051840.998782339114741
320.9838069724568170.03238605508636580.0161930275431829
330.999962438354377.51232912591936e-053.75616456295968e-05
340.7935707641084380.4128584717831230.206429235891562
350.8974972290546110.2050055418907770.102502770945388
360.7316962705511940.5366074588976110.268303729448806
370.5967696009900680.8064607980198640.403230399009932


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level110.407407407407407NOK
5% type I error level140.518518518518518NOK
10% type I error level150.555555555555556NOK