Multiple Linear Regression - Estimated Regression Equation
Werkloosheid_totaal[t] = -28076.5841847233 + 1.30945915231219`Basisonderwijs(lager_1ste_graad_secundair)`[t] + 1.0229840449385`Secundair_onderwijs(2de,3de,4de_graad)`[t] -0.294033532280328Duaal_onderwijs[t] + 1.51023525778893`Hoger_onderwijs(Bachelor)`[t] -0.643697757144564Leercontract[t] + 1.347795732592Andere_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)-28076.58418472336304.44433-4.45356.4e-053.2e-05
`Basisonderwijs(lager_1ste_graad_secundair)`1.309459152312190.1547388.462400
`Secundair_onderwijs(2de,3de,4de_graad)`1.02298404493850.09319610.976700
Duaal_onderwijs-0.2940335322803280.85865-0.34240.7337710.366886
`Hoger_onderwijs(Bachelor)`1.510235257788930.07477720.196400
Leercontract-0.6436977571445641.590368-0.40470.6877670.343883
Andere_studies1.3477957325920.2387155.6461e-061e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.999756436555928
R-squared0.999512932435008
Adjusted R-squared0.999441654254765
F-TEST (value)14022.70553248
F-TEST (DF numerator)6
F-TEST (DF denominator)41
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation891.791639726562
Sum Squared Residuals32606985.4761338


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1575093574429.911564865663.088435134566
2557560556723.414838254836.58516174633
3564478563442.6431537191035.35684628096
4580523579463.5402015631059.45979843692
5596594596966.706952788-372.706952788003
6586570587085.546203246-515.546203245898
7536214537206.865088548-992.865088547827
8523597524166.208329503-569.208329502561
9536535537441.368502555-906.368502555219
10536322536937.99089741-615.990897410085
11532638533175.43898803-537.438988030468
12528222528276.703834508-54.7038345080675
13516141515745.552620806395.447379194456
14501866501860.0707922975.92920770249068
15506174506041.656748378132.343251621676
16517945517394.903245437550.09675456274
17533590534091.525722559-501.525722558582
18528379529135.49983878-756.499838779673
19477580477604.540199344-24.5401993440014
20469357468557.966915885799.033084114611
21490243490224.41016757918.5898324213042
22492622492503.309269861118.690730139175
23507561507712.773274869-151.773274868677
24516922516910.37383699811.6261630016008
25514258513502.472469891755.527530109288
26509846509286.007281717559.992718283272
27527070526722.172395742347.827604257456
28541657540996.900549357660.099450643191
29564591565272.779019468-681.779019467548
30555362556314.723983659-952.723983659425
31498662498679.791173329-17.7911733289503
32511038510940.85526383897.1447361623281
33525919526361.163902599-442.163902598578
34531673532151.316193451-478.316193450779
35548854549055.401712259-201.401712258745
36560576560527.93279365748.0672063429228
37557274556924.569332113349.430667887084
38565742565233.908658837508.091341162671
39587625586982.400937339642.599062660774
40619916619087.683427324828.316572676025
41625809625890.3319197-81.3319197000604
42619567620604.637786181-1037.63778618137
43572942574826.908864679-1884.90886467943
44572775574682.343984787-1907.34398478724
45574205575877.838555063-1672.83855506299
46579799578357.3707419561441.62925804381
47590072588512.1976555161559.80234448441
48593408591475.3702097561932.62979024411


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.01375463659818230.02750927319636470.986245363401818
110.002431559291164340.004863118582328680.997568440708836
120.001325874363325940.002651748726651870.998674125636674
130.0002696766990241160.0005393533980482310.999730323300976
146.1536447367146e-050.0001230728947342920.999938463552633
151.0248445030661e-052.04968900613219e-050.999989751554969
161.15278926006528e-052.30557852013056e-050.999988472107399
171.31933575819618e-052.63867151639236e-050.999986806642418
183.02664483731747e-066.05328967463494e-060.999996973355163
192.49011263101014e-054.98022526202029e-050.99997509887369
200.00188805457351150.003776109147022990.998111945426489
210.01074408660408980.02148817320817960.98925591339591
220.01089913432039440.02179826864078890.989100865679606
230.009113002651663350.01822600530332670.990886997348337
240.007838925426934370.01567785085386870.992161074573066
250.01725347141739050.0345069428347810.982746528582609
260.01525593050924030.03051186101848060.98474406949076
270.01181865273095150.0236373054619030.988181347269048
280.009799425921458320.01959885184291660.990200574078542
290.008754561401294110.01750912280258820.991245438598706
300.1974884151761590.3949768303523180.802511584823841
310.6056263826430420.7887472347139160.394373617356958
320.6664827525458420.6670344949083150.333517247454158
330.8744461753453020.2511076493093970.125553824654698
340.9692275277604330.06154494447913350.0307724722395667
350.9499393400622450.1001213198755090.0500606599377547
360.9029870989186440.1940258021627130.0970129010813564
370.9107731497913440.1784537004173130.0892268502086563
380.9130901065365080.1738197869269830.0869098934634917


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level100.344827586206897NOK
5% type I error level200.689655172413793NOK
10% type I error level210.724137931034483NOK