Multiple Linear Regression - Estimated Regression Equation
Werkzoekenden[t] = + 9.4137083078822e-13 -1.47595426624539e-13Maand[t] + 1Mannen[t] + 1Vrouwen[t] -2.52926783767913e-17Beroepsinschakelingstijd[t] + 1.32309862647938e-17`<25jaar`[t] -2.18953975484347e-17`inactiviteitsduur>=2jaar`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9.4137083078822e-1300.10320.9181160.459058
Maand-1.47595426624539e-130-1.30380.1963060.098153
Mannen103857787412404649600
Vrouwen101122036161690600600
Beroepsinschakelingstijd-2.52926783767913e-170-0.22390.8234230.411712
`<25jaar`1.32309862647938e-1700.08520.9322960.466148
`inactiviteitsduur>=2jaar`-2.18953975484347e-170-0.35510.7234840.361742


Multiple Linear Regression - Regression Statistics
Multiple R1
R-squared1
Adjusted R-squared1
F-TEST (value)1.68082351317658e+33
F-TEST (DF numerator)6
F-TEST (DF denominator)75
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.94684506667045e-12
Sum Squared Residuals6.51292188521997e-22


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15934085934082.44201154238717e-12
2590072590072-3.783616384487e-12
3579799579799-6.90220221687566e-12
45742055742059.87085419307986e-13
55727755727756.6801760186297e-13
65729425729422.13504398037157e-12
7619567619567-2.13948946713613e-12
86258096258094.81925904508278e-12
96199166199167.30470064178225e-13
10587625587625-7.57211439050367e-13
115657425657422.06034501084624e-12
125572745572743.06441005997693e-12
13560576560576-2.9316208706919e-12
145488545488544.61977932897679e-13
155316735316735.55157000539042e-12
165259195259192.32478579098379e-12
17511038511038-4.85698494972428e-12
18498662498662-8.52230848284974e-13
19555362555362-1.25105026286967e-12
205645915645911.6789962096871e-12
215416575416571.1142629687916e-12
22527070527070-5.8856383834731e-13
23509846509846-1.17308671715353e-12
24514258514258-3.24853427028823e-12
25516922516922-1.88010367452053e-12
26507561507561-6.45968796656386e-12
274926224926223.85054773607235e-12
28490243490243-1.54748540890199e-12
294693574693575.662356835887e-13
304775804775804.7834893298684e-12
315283795283793.98142122353893e-13
325335905335905.27486060189218e-12
33517945517945-2.6365431034682e-12
34506174506174-4.50779550609321e-12
355018665018662.29993609485324e-12
36516141516141-5.89731737624105e-12
375282225282221.3863129109491e-12
38532638532638-1.06000690378972e-12
395363225363224.25580186387998e-12
405365355365353.57545375803029e-12
41523597523597-1.35236353610983e-13
425362145362142.84848182384854e-12
435865705865705.50956475785104e-13
44596594596594-3.92833061378487e-12
455805235805232.73156621753421e-12
465644785644781.7190047852878e-13
475575605575602.53082119358923e-13
485750935750938.42284500221758e-13
495801125801121.32241451024824e-12
505747615747612.12970667444904e-13
515632505632503.65781616680844e-12
52551531551531-4.55045513349082e-12
535370345370343.32248055058485e-12
54544686544686-3.39855549755375e-12
55600991600991-3.18638230762246e-12
56604378604378-2.50493053399709e-12
575861115861111.58026845949619e-12
585636685636681.42517197815163e-13
59548604548604-5.66006614443802e-13
605511745511741.12506180175244e-12
61555654555654-4.01024680432628e-12
62547970547970-3.02059356837157e-12
63540324540324-1.79251772706498e-12
645305775305772.64183477965689e-12
65520579520579-1.63331379655198e-12
66518654518654-2.24084659928743e-12
675722735722731.46789172096475e-12
685813025813021.81388036445779e-12
695632805632801.34313730107964e-13
70547612547612-1.16747944925959e-12
71538712538712-3.25230456579049e-12
725407355407351.18356009376666e-12
735616495616494.99525653332162e-13
74558685558685-2.47351691182456e-12
755457325457323.49803140277316e-12
765363525363521.99215872721911e-12
775276765276762.77434248909365e-12
785304555304553.23642794713553e-12
795817445817442.59910051547538e-13
80598714598714-2.24554095834726e-12
815837755837752.56683416718498e-12
82571477571477-2.67973919010478e-12


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.2350026092940290.4700052185880580.764997390705971
110.2122074113934220.4244148227868450.787792588606578
120.1498592270275060.2997184540550110.850140772972494
132.22136745112394e-064.44273490224787e-060.999997778632549
1413.69050430449422e-501.84525215224711e-50
153.40216954259887e-086.80433908519774e-080.999999965978305
160.03870585290571970.07741170581143950.96129414709428
171.10575789643416e-132.21151579286832e-130.999999999999889
181.08847505891665e-112.17695011783331e-110.999999999989115
192.34292399303289e-134.68584798606579e-130.999999999999766
204.00313626150567e-138.00627252301134e-130.9999999999996
2115.13589689945679e-432.56794844972839e-43
220.9995349573068960.0009300853862087890.000465042693104394
232.40961487592163e-114.81922975184327e-110.999999999975904
240.9725710262657330.0548579474685330.0274289737342665
254.35358912680297e-148.70717825360594e-140.999999999999956
261.2875576196119e-102.5751152392238e-100.999999999871244
270.9980981082267920.003803783546415570.00190189177320779
283.72514706757559e-147.45029413515119e-140.999999999999963
295.03470994934791e-181.00694198986958e-171
300.9754885610026060.04902287799478750.0245114389973937
3114.78188121890544e-362.39094060945272e-36
325.49751398800981e-151.09950279760196e-140.999999999999994
3315.19867825503317e-302.59933912751658e-30
340.8586535518749880.2826928962500230.141346448125012
350.8903490616420990.2193018767158020.109650938357901
360.8947882093895710.2104235812208570.105211790610429
370.9999895688512032.08622975944714e-051.04311487972357e-05
3812.95103753901585e-361.47551876950793e-36
3911.74004291540708e-348.70021457703538e-35
4013.2044263883829e-251.60221319419145e-25
4114.398159657315e-342.1990798286575e-34
420.3504413966421730.7008827932843470.649558603357827
436.19109713937958e-251.23821942787592e-241
440.4845992948587940.9691985897175890.515400705141206
450.999927810072910.0001443798541796017.21899270898006e-05
460.9999995455087669.0898246751592e-074.5449123375796e-07
470.9999999999344541.31091089262182e-106.55455446310909e-11
4812.26094473263793e-261.13047236631897e-26
490.9999659511998776.8097600245251e-053.40488001226255e-05
5014.65531947453127e-272.32765973726564e-27
5111.15842504624254e-215.7921252312127e-22
526.92051324940418e-281.38410264988084e-271
530.8885256600317370.2229486799365250.111474339968263
540.1709920939875140.3419841879750280.829007906012486
550.1732640938412730.3465281876825460.826735906158727
561.39394033795451e-262.78788067590902e-261
579.20647337998573e-401.84129467599715e-391
581.59665228129596e-373.19330456259192e-371
5915.96263942916188e-232.98131971458094e-23
600.0001756310628775330.0003512621257550660.999824368937122
610.9999999999999976.85725565023932e-153.42862782511966e-15
6213.37410863209243e-181.68705431604622e-18
630.8968008816312260.2063982367375490.103199118368775
640.3348843821094750.6697687642189510.665115617890525
650.9352282567828530.1295434864342930.0647717432171465
660.9301977641802150.139604471639570.0698022358197851
670.969181024510160.06163795097967950.0308189754898398
681.15760652742108e-152.31521305484216e-150.999999999999999
699.70874379496008e-241.94174875899202e-231
709.0583395693504e-131.81166791387008e-120.999999999999094
710.9998194193507930.0003611612984134720.000180580649206736
720.9996456122522610.0007087754954784370.000354387747739219


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level440.698412698412698NOK
5% type I error level450.714285714285714NOK
10% type I error level480.761904761904762NOK