Multiple Linear Regression - Estimated Regression Equation
Werkzoekenden[t] = + 9.4137083078822e-13 -1.47595426624539e-13Maand[t] + 1Mannen[t] + 1Vrouwen[t] -4.47898770662771e-17Beroepsinschakelingstijd[t] + 3.58669125618525e-17`<25jaar`[t] -1.39402177395349e-17`inactiviteitsduur>=2jaar`[t] + 7.17283440373363e-15t + 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-1300.09740.9226750.461338
Maand-1.47595426624539e-130-1.23790.2196570.109829
Mannen102140103815481264000
Vrouwen101065212781338328200
Beroepsinschakelingstijd-4.47898770662771e-170-0.27880.7811860.390593
`<25jaar`3.58669125618525e-1700.17550.8611830.430591
`inactiviteitsduur>=2jaar`-1.39402177395349e-170-0.180.8576260.428813
t7.17283440373363e-1500.17180.86410.43205


Multiple Linear Regression - Regression Statistics
Multiple R1
R-squared1
Adjusted R-squared1
F-TEST (value)1.42206312158218e+33
F-TEST (DF numerator)7
F-TEST (DF denominator)74
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.96609822227017e-12
Sum Squared Residuals6.51032661147417e-22


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15934085934082.55715235934046e-12
2590072590072-3.66841821136246e-12
3579799579799-6.77512014677269e-12
45742055742051.10901440347244e-12
55727755727756.71921694953023e-13
65729425729422.07276078128211e-12
7619567619567-2.17124966790969e-12
86258096258094.77177846808738e-12
96199166199167.11500597491201e-13
10587625587625-7.72612207897412e-13
115657425657422.07584595131347e-12
125572745572743.0865164581175e-12
13560576560576-2.9744519454831e-12
145488545488544.44129430260775e-13
155316735316735.55806261677864e-12
165259195259192.32542016904326e-12
17511038511038-4.93639490885267e-12
18498662498662-9.39693590881579e-13
19555362555362-1.30392916682593e-12
205645915645911.62895514793291e-12
215416575416571.10925254101627e-12
22527070527070-5.63091085567483e-13
23509846509846-1.12878950677365e-12
24514258514258-3.1881938801679e-12
25516922516922-1.89091339078173e-12
26507561507561-6.46113291217981e-12
274926224926223.88466502268353e-12
28490243490243-1.52824014951081e-12
294693574693575.65304729271949e-13
304775804775804.7279302802607e-12
315283795283793.72430520493513e-13
325335905335905.26279647537249e-12
33517945517945-2.61707656062913e-12
34506174506174-4.46694846370702e-12
355018665018662.35238835120785e-12
36516141516141-5.81159538516802e-12
375282225282221.39649274803002e-12
38532638532638-1.01595769114373e-12
395363225363224.3386651401734e-12
405365355365353.64675085671263e-12
41523597523597-1.18357522518201e-13
425362145362142.81084475304837e-12
435865705865705.36387408164691e-13
44596594596594-3.93224315401959e-12
455805235805232.76662806824343e-12
465644785644782.40373147162542e-13
475575605575603.35464648986456e-13
485750935750939.5140954387913e-13
495801125801121.35561947913281e-12
505747615747612.57294963935637e-13
515632505632503.72913537854299e-12
52551531551531-4.49440660509059e-12
535370345370343.31311022018511e-12
54544686544686-3.45365021569055e-12
55600991600991-3.21317975531877e-12
56604378604378-2.50862477066281e-12
575861115861111.60195188021646e-12
585636685636681.75515916523813e-13
59548604548604-5.20063485328935e-13
605511745511741.18870266856567e-12
61555654555654-4.02504052318761e-12
62547970547970-3.02468885139813e-12
63540324540324-1.79065207576988e-12
645305775305772.63903441860621e-12
65520579520579-1.70185335433088e-12
66518654518654-2.36549344906039e-12
675722735722731.35944884380749e-12
685813025813021.7218860648738e-12
695632805632806.48972883939262e-14
70547612547612-1.21815142741375e-12
71538712538712-3.2950394970703e-12
725407355407351.17411132002661e-12
735616495616494.30497726240926e-13
74558685558685-2.52133853397567e-12
755457325457323.4600407808643e-12
765363525363521.96832855546434e-12
775276765276762.75798860957874e-12
785304555304553.24672617883863e-12
795817445817442.59748148739761e-13
80598714598714-2.29104999620485e-12
815837755837752.44999180086631e-12
82571477571477-2.77723046752798e-12


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.3583813344449310.7167626688898630.641618665555069
120.2544445378582340.5088890757164690.745555462141766
136.81095620470535e-061.36219124094107e-050.999993189043795
1411.18155884953006e-445.9077942476503e-45
151.54969680353781e-073.09939360707562e-070.99999984503032
160.0466274398475490.0932548796950980.953372560152451
173.06159569962952e-126.12319139925905e-120.999999999996938
181.11842609122259e-102.23685218244517e-100.999999999888157
191.54652874210453e-123.09305748420906e-120.999999999998453
203.77278405134619e-127.54556810269238e-120.999999999996227
2114.53306654520095e-402.26653327260048e-40
220.9961116314317220.00777673713655550.00388836856827775
231.88614371455646e-103.77228742911293e-100.999999999811386
240.9668730897039320.06625382059213670.0331269102960684
253.45332596989798e-136.90665193979595e-130.999999999999655
265.50074916273364e-101.10014983254673e-090.999999999449925
270.998778759616750.002442480766500820.00122124038325041
282.6715348968014e-135.3430697936028e-130.999999999999733
292.25174118137436e-174.50348236274872e-171
300.951587279310820.09682544137836050.0484127206891802
3113.43780270929222e-341.71890135464611e-34
322.71005283857726e-145.42010567715452e-140.999999999999973
3311.92194071151165e-289.60970355755826e-29
340.7884438059814160.4231123880371690.211556194018584
350.8835352963702380.2329294072595250.116464703629762
360.855445109793680.2891097804126390.14455489020632
370.9999871418587562.57162824875233e-051.28581412437617e-05
3818.99473996677878e-354.49736998338939e-35
3915.29127189147655e-332.64563594573828e-33
4014.48639395407763e-242.24319697703881e-24
4112.81675938438738e-331.40837969219369e-33
420.2937106593751240.5874213187502480.706289340624876
431.76276633824326e-243.52553267648651e-241
440.4511966386900150.902393277380030.548803361309985
450.9999211432253770.0001577135492467567.88567746233779e-05
460.9999989045181512.19096369828849e-061.09548184914425e-06
470.9999999998680592.63882675611683e-101.31941337805842e-10
4812.90623563324437e-251.45311781662219e-25
490.9999448493177740.0001103013644520125.51506822260058e-05
5014.0453396571767e-262.02266982858835e-26
5111.82941520147421e-209.14707600737103e-21
523.01486384737622e-276.02972769475244e-271
530.9091052635051380.1817894729897250.0908947364948623
540.126637150573860.253274301147720.87336284942614
550.1970393914663260.3940787829326510.802960608533674
568.3107431310656e-241.66214862621312e-231
572.01255825696788e-374.02511651393577e-371
581.9337786420489e-293.86755728409781e-291
5912.60064634043967e-211.30032317021983e-21
600.004895257388670360.009790514777340710.99510474261133
610.999999999999931.39422392880142e-136.97111964400711e-14
6211.11424931029831e-165.57124655149155e-17
630.9100143885535160.1799712228929670.0899856114464836
640.4697068594897740.9394137189795470.530293140510226
650.8959969257566060.2080061484867890.104003074243394
660.8902159574952220.2195680850095550.109784042504778
670.9855616601133790.02887667977324250.0144383398866213
687.87914728530322e-121.57582945706064e-110.999999999992121
693.31819005743354e-186.63638011486707e-181
701.30961492552616e-122.61922985105232e-120.99999999999869
710.9999201260706350.0001597478587305347.9873929365267e-05


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level430.704918032786885NOK
5% type I error level440.721311475409836NOK
10% type I error level470.770491803278688NOK