Multiple Linear Regression - Estimated Regression Equation
werkloosheid[t] = + 1.54451965078872 -0.112572244790880maand[t] -3.93284564582941indicator[t] + 1.00796554976765economie[t] + 0.995091256179224`financiƫn`[t] + 0.892220731906652spaarvermogen[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.544519650788720.5615172.75060.0080780.004039
maand-0.1125722447908800.044449-2.53260.0142610.00713
indicator-3.932845645829410.029754-132.180100
economie1.007965549767650.02211845.572400
`financiƫn`0.9950912561792240.128567.740300
spaarvermogen0.8922207319066520.05643515.809800


Multiple Linear Regression - Regression Statistics
Multiple R0.998822807707077
R-squared0.99764700119585
Adjusted R-squared0.997429130936206
F-TEST (value)4579.08758555641
F-TEST (DF numerator)5
F-TEST (DF denominator)54
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.17146454492620
Sum Squared Residuals74.1057757210336


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11715.71345626002861.28654373997144
22320.53920403572592.46079596427408
32423.85062286409730.149377135902722
42727.1028365760521-0.102836576052094
53132.318295657129-1.31829565712902
64038.58125044305661.41874955694335
74747.7424294635515-0.742429463551458
84343.5031234806668-0.503123480666781
96061.693234315532-1.69323431553206
106463.76519795841370.234802041586297
116565.6493373734295-0.649337373429456
126563.75031158454511.24968841545488
135555.3762728783173-0.376272878317263
145758.9754397621134-1.97543976211336
155756.18888049801930.811119501980669
165756.41719756067120.582802439328783
176563.37728666873681.62271333126325
186970.2922335100337-1.29223351003371
197067.86061664158542.13938335841457
207172.9732051983898-1.97320519838984
217170.44745684648430.552543153515698
227372.43446678577260.565533214227364
236866.5352031977511.46479680224902
246565.663536638226-0.663536638226006
255757.9965598510108-0.996559851010842
264140.12647480619540.873525193804584
272122.1289592059900-1.12895920599002
282119.85556400719941.1444359928006
291716.65621026552080.343789734479206
3099.04458462369071-0.0445846236907088
311112.0960998141912-1.09609981419123
3265.929670406395940.0703295936040589
33-2-1.9726499875726-0.0273500124273982
340-0.8907350737793480.890735073779348
3554.895458872798130.104541127201869
3632.474248696053330.525751303946666
3778.59865677365676-1.59865677365676
3844.40790126841214-0.407901268412138
3988.440444865444-0.440444865443997
4097.557925854055661.44207414594434
411414.8123992068729-0.812399206872864
421213.7549302612071-1.75493026120706
431211.70622403039340.293775969606594
4476.696961519466380.303038480533619
451516.8027657205393-1.80276572053927
461413.96085531106020.0391446889398421
471918.35736162629480.642638373705174
483938.39545210724990.604547892750058
491210.60540307221681.39459692778316
501112.2541988804792-1.25419888047923
511718.1728659095375-1.17286590953751
521617.3674688352449-1.36746883524489
532525.196531024594-0.196531024593982
542423.17742735198860.822572648011439
552829.4304545410414-1.43045454104141
562526.3441802022519-1.34418020225188
573129.49737736096551.50262263903448
582422.7226213056571.27737869434299
592423.47919638201270.520803617987259
603332.16885490333520.831145096664802


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.0637765021102840.1275530042205680.936223497889716
100.1864880531184180.3729761062368360.813511946881582
110.2584838866503260.5169677733006520.741516113349674
120.3224068604032300.6448137208064590.67759313959677
130.2424320228810750.4848640457621510.757567977118925
140.636076503859450.72784699228110.36392349614055
150.5541232601128020.8917534797743950.445876739887198
160.470177785642280.940355571284560.52982221435772
170.5580571446386140.8838857107227730.441942855361386
180.4901628731420930.9803257462841860.509837126857907
190.865717907753180.2685641844936410.134282092246821
200.9292786536577910.1414426926844180.0707213463422089
210.8960303670167520.2079392659664950.103969632983248
220.8520870268346920.2958259463306170.147912973165308
230.8483197401653210.3033605196693580.151680259834679
240.8713557512223420.2572884975553170.128644248777658
250.8814612878914550.237077424217090.118538712108545
260.8604871054057710.2790257891884570.139512894594229
270.9057781226930890.1884437546138220.094221877306911
280.8973315221679670.2053369556640660.102668477832033
290.8604199004421570.2791601991156860.139580099557843
300.8437069544180720.3125860911638560.156293045581928
310.8339966080018660.3320067839962670.166003391998133
320.7804402562043850.4391194875912310.219559743795616
330.7377774495837090.5244451008325820.262222550416291
340.691713133317150.6165737333657010.308286866682850
350.6703458021806190.6593083956387620.329654197819381
360.6541030593778930.6917938812442130.345896940622107
370.6731799208492190.6536401583015620.326820079150781
380.6005901312389470.7988197375221060.399409868761053
390.5538470689950490.8923058620099020.446152931004951
400.8175104371176530.3649791257646930.182489562882347
410.7879133770379380.4241732459241240.212086622962062
420.8010501142777320.3978997714445350.198949885722268
430.7690290149380040.4619419701239910.230970985061996
440.6977811005281960.6044377989436090.302218899471805
450.6532568488354850.6934863023290310.346743151164515
460.5821732473220130.8356535053559750.417826752677987
470.4837003363282020.9674006726564030.516299663671798
480.3730994297109480.7461988594218960.626900570289052
490.4801239605531880.9602479211063760.519876039446812
500.3946898698722420.7893797397444850.605310130127758
510.3810098741675650.762019748335130.618990125832435


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK