Multiple Linear Regression - Estimated Regression Equation
Werkzoekenden[t] = + 6.05634433878845e-11 + 1Mannen[t] + 1Vrouwen[t] -6.19801918948547e-17Beroepsinschakelingstijd[t] + 1.66790477516199e-17`<25jaar`[t] -4.58293479532599e-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)6.05634433878845e-1103.48260.0008270.000413
Mannen101982779919952142400
Vrouwen10560035340117717900
Beroepsinschakelingstijd-6.19801918948547e-170-0.26810.7893130.394657
`<25jaar`1.66790477516199e-1700.05430.9568570.478429
`inactiviteitsduur>=2jaar`-4.58293479532599e-170-0.36320.7174720.358736


Multiple Linear Regression - Regression Statistics
Multiple R1
R-squared1
Adjusted R-squared1
F-TEST (value)4.81165008380392e+32
F-TEST (DF numerator)5
F-TEST (DF denominator)76
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.03339786176797e-12
Sum Squared Residuals2.76654362163736e-21


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15934085934081.00379759237984e-11
2590072590072-3.90073294361502e-11
35797995797992.32386690024072e-11
45742055742051.85250129203885e-12
55727755727755.53121504996435e-13
6572942572942-1.11869789566644e-12
76195676195671.26415272653339e-13
86258096258095.51406957753834e-12
96199166199161.2760875683188e-12
10587625587625-2.54998781293516e-12
115657425657428.62042008753505e-13
125572745572744.07232700948575e-14
135605765605761.88314698999796e-12
145488545488542.64286025585679e-12
155316735316732.26199793507874e-13
165259195259191.18595651232342e-12
17511038511038-5.56668446874763e-12
18498662498662-2.57991511769875e-12
19555362555362-3.49540731485674e-12
205645915645911.28116327135796e-12
215416575416572.77802743274018e-12
225270705270701.45164616932784e-12
23509846509846-1.74670873816739e-12
24514258514258-1.76999527392359e-12
25516922516922-5.08213207666962e-12
26507561507561-4.46560484765478e-12
274926224926221.65189824337293e-12
28490243490243-1.04298859551539e-12
294693574693578.54815528077546e-12
304775804775801.04502308335687e-11
31528379528379-2.43096091135966e-12
325335905335903.02825234692603e-12
33517945517945-2.49489269355988e-12
34506174506174-3.87094895887094e-12
35501866501866-2.64209747831329e-12
36516141516141-3.95360214346365e-12
37528222528222-9.46672309004625e-13
385326385326381.67718603266352e-12
39536322536322-7.07247122711191e-13
405365355365357.4453826478367e-14
41523597523597-2.08842060971149e-12
42536214536214-1.33566965317837e-12
435865705865701.74743787140333e-12
44596594596594-1.43758880107376e-12
455805235805231.27640212876001e-12
46564478564478-1.01974926625531e-13
47557560557560-3.37406389886997e-13
485750935750931.71824313066752e-12
495801125801125.31217751627027e-13
505747615747615.47230673512681e-12
515632505632504.28987929125764e-12
52551531551531-1.26755291571573e-12
53537034537034-9.83624455785175e-13
545446865446862.09237645210293e-12
55600991600991-3.76371314788226e-12
56604378604378-1.48323035578461e-12
575861115861112.41761628082143e-12
585636685636681.7633760081934e-12
595486045486041.22028579052084e-12
605511745511749.739489765471e-13
61555654555654-3.240305204784e-12
62547970547970-3.29967075967812e-12
635403245403242.65652225070017e-12
645305775305771.31667987583727e-12
65520579520579-1.21388931978281e-12
66518654518654-9.0985424913293e-13
67572273572273-5.56586510740693e-15
685813025813021.8240456223059e-12
695632805632801.83618780616232e-12
70547612547612-2.29397526427418e-14
715387125387123.94863310014654e-12
72540735540735-1.14880245163847e-13
73561649561649-7.15541743990605e-13
74558685558685-4.6781864334659e-13
75545732545732-3.40147249939675e-12
76536352536352-2.63748685722708e-12
77527676527676-5.15477715315009e-13
785304555304557.85968157402846e-13
795817445817443.36869997049203e-13
80598714598714-3.1620649071087e-12
815837755837759.12677762823576e-13
825714775714774.76564814636843e-13


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
95.99357118083344e-061.19871423616669e-050.999994006428819
100.3701071547183950.7402143094367910.629892845281605
110.003254585708155020.006509171416310030.996745414291845
120.161660246559610.3233204931192190.83833975344039
134.84265216130709e-099.68530432261418e-090.999999995157348
1411.26815567888459e-476.34077839442293e-48
157.29278363688683e-111.45855672737737e-100.999999999927072
160.04592864560254080.09185729120508170.954071354397459
171.43610008202756e-142.87220016405513e-140.999999999999986
181.05866074623893e-172.11732149247786e-171
198.96364618378611e-161.79272923675722e-150.999999999999999
202.97795618730482e-115.95591237460964e-110.99999999997022
2112.26731464571243e-511.13365732285621e-51
220.9989656522206170.002068695558766210.00103434777938311
232.8967113076706e-125.7934226153412e-120.999999999997103
240.02464565747887670.04929131495775340.975354342521123
254.06375882618982e-158.12751765237964e-150.999999999999996
264.40883410543018e-138.81766821086037e-130.999999999999559
270.9759611215240760.04807775695184710.0240388784759236
281.45957333906993e-152.91914667813987e-150.999999999999999
293.10708864294546e-146.21417728589093e-140.999999999999969
300.9949769395663120.01004612086737510.00502306043368756
3111.37498329575396e-426.8749164787698e-43
323.04820891903554e-236.09641783807108e-231
3311.94625846248846e-389.73129231244228e-39
340.910045374146710.179909251706580.08995462585329
350.9999997610088224.77982355940654e-072.38991177970327e-07
360.8296151691156080.3407696617687840.170384830884392
370.9961067942998890.007786411400221610.00389320570011081
3815.8045758221803e-442.90228791109015e-44
3911.86323315083684e-379.31616575418419e-38
4013.72728129501867e-311.86364064750933e-31
4115.56838274258848e-442.78419137129424e-44
420.3136774227573270.6273548455146540.686322577242673
434.02273352110375e-268.0454670422075e-261
440.217887276483530.4357745529670590.78211272351647
450.9999999999917821.6435945070491e-118.21797253524548e-12
460.9940869637013220.01182607259735560.0059130362986778
470.7368407047823120.5263185904353770.263159295217688
4818.00717513950269e-314.00358756975135e-31
490.9996580658357860.0006838683284283810.00034193416421419
5011.05654785670937e-295.28273928354684e-30
5116.05174097132553e-223.02587048566277e-22
522.00971816366384e-294.01943632732769e-291
530.9718413986325240.05631720273495190.0281586013674759
540.1368576630821970.2737153261643940.863142336917803
550.289574051258970.5791481025179390.71042594874103
562.62685800706509e-245.25371601413017e-241
571.10304063216331e-442.20608126432662e-441
582.24752050474658e-304.49504100949316e-301
5918.38186012573515e-284.19093006286758e-28
600.000195571939156790.0003911438783135810.999804428060843
6111.58427294122299e-187.92136470611493e-19
6211.41128698384986e-187.05643491924931e-19
630.7792618949648970.4414762100702050.220738105035103
640.4700176132704030.9400352265408060.529982386729597
650.9000350104148090.1999299791703810.0999649895851907
660.9997147105077810.0005705789844382510.000285289492219126
670.9167494033308450.166501193338310.0832505966691552
682.05309627115478e-204.10619254230956e-201
693.14279772791876e-286.28559545583751e-281
709.11924022781158e-271.82384804556232e-261
710.9934597095945590.01308058081088180.00654029040544091
720.9999984671246033.06575079434641e-061.53287539717321e-06
730.9994478480734020.001104303853196740.000552151926598369


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level450.692307692307692NOK
5% type I error level500.769230769230769NOK
10% type I error level520.8NOK