Multiple Linear Regression - Estimated Regression Equation
Werkloosheid_totaal[t] = -22725.3195881488 + 1.72179344658075`Basisonderwijs(lager_1ste_graad_secundair)`[t] + 0.996983231492192`Secundair_onderwijs(2de,3de,4de_graad)`[t] + 3.39442676216497Duaal_onderwijs[t] + 1.50044345827079`Hoger_onderwijs(Bachelor)`[t] -2.15934016795725Leercontract[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-22725.31958814888210.239365-2.76790.0083570.004178
`Basisonderwijs(lager_1ste_graad_secundair)`1.721793446580750.1797019.581400
`Secundair_onderwijs(2de,3de,4de_graad)`0.9969832314921920.1226148.131100
Duaal_onderwijs3.394426762164970.7340164.62453.6e-051.8e-05
`Hoger_onderwijs(Bachelor)`1.500443458270790.09847515.236800
Leercontract-2.159340167957252.064877-1.04570.3016590.150829


Multiple Linear Regression - Regression Statistics
Multiple R0.999567022967025
R-squared0.99913423340316
Adjusted R-squared0.999031165951156
F-TEST (value)9693.98402666843
F-TEST (DF numerator)5
F-TEST (DF denominator)42
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1174.7257478348
Sum Squared Residuals57959184.4702931


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1575093574968.137976495124.862023505025
2557560555922.3395230671637.6604769332
3564478562750.8875788091727.11242119099
4580523578988.069828411534.93017159017
5596594596098.637357717495.362642283161
6586570586570.18913024-0.189130239995937
7536214536410.511266196-196.511266196339
8523597524178.979385048-581.979385047626
9536535536866.021695509-331.021695508542
10536322537520.217886947-1198.21788694685
11532638534137.941687329-1499.9416873287
12528222529241.998722155-1019.99872215484
13516141516070.98781779170.0121822090153
14501866502946.219584172-1080.21958417155
15506174506600.805590142-426.805590141804
16517945518591.404097215-646.404097214893
17533590533647.778600502-57.7786005024482
18528379529366.33749078-987.337490779591
19477580476665.292217047914.707782953005
20469357468370.089518935986.91048106539
21490243490587.305647269-344.30564726874
22492622493048.363226795-426.363226795161
23507561508506.531500348-945.531500347946
24516922517114.532995672-192.532995672256
25514258513174.895284251083.10471574999
26509846508699.3077222871146.69227771325
27527070525806.9676135281263.03238647232
28541657540167.8431687711489.15683122936
29564591564915.393376744-324.393376743889
30555362556432.261316011-1070.261316011
31498662497383.8698970521278.13010294844
32511038510235.958232224802.041767776094
33525919526008.876408583-89.8764085829295
34531673531955.707416722-282.707416722295
35548854549369.587617555-515.587617555397
36560576561649.153685635-1073.15368563499
37557274558272.427916188-998.427916187989
38565742566816.562752955-1074.56275295489
39587625587947.891373452-322.891373451795
40619916619919.448572574-3.44857257370651
41625809625792.28569540516.7143045952969
42619567620626.395553787-1059.39555378691
43572942575069.169253573-2127.16925357296
44572775573694.625604055-919.625604055033
45574205575865.617937203-1660.61793720328
46579799577407.7916886122391.20831138815
47590072587890.2370032222181.76299677781
48593408591094.1445850262313.85541497368


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.01689111244532660.03378222489065320.983108887554673
100.03184035138534130.06368070277068250.968159648614659
110.07515841522607330.1503168304521470.924841584773927
120.0387228570853610.0774457141707220.961277142914639
130.01904231578739910.03808463157479830.980957684212601
140.01888213924727410.03776427849454830.981117860752726
150.008356226945244340.01671245389048870.991643773054756
160.003449856434190870.006899712868381750.996550143565809
170.006033268813187380.01206653762637480.993966731186813
180.002532931248897610.005065862497795220.997467068751102
190.02840761983366140.05681523966732280.971592380166339
200.08847266275711010.176945325514220.91152733724289
210.09196600144736870.1839320028947370.908033998552631
220.06501789208208040.1300357841641610.93498210791792
230.03971632983246640.07943265966493290.960283670167534
240.03333534350625210.06667068701250420.966664656493748
250.06916506548513610.1383301309702720.930834934514864
260.08823638436509950.1764727687301990.9117636156349
270.1079710549243350.2159421098486710.892028945075665
280.1639586666010630.3279173332021260.836041333398937
290.1921718179440950.384343635888190.807828182055905
300.8241957883253090.3516084233493810.17580421167469
310.9879852378496610.02402952430067860.0120147621503393
320.9869028393900210.02619432121995750.0130971606099788
330.9876622929187820.02467541416243590.0123377070812179
340.9995971956551950.0008056086896095820.000402804344804791
350.998750678157880.002498643684240340.00124932184212017
360.9957248586358510.008550282728297280.00427514136414864
370.9952869493436170.00942610131276590.00471305065638295
380.99361454814350.01277090371299980.00638545185649992
390.9712597414536120.05748051709277570.0287402585463878


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level60.193548387096774NOK
5% type I error level150.483870967741935NOK
10% type I error level210.67741935483871NOK