Multiple Linear Regression - Estimated Regression Equation
werkloosheidsgraad[t] = + 6.01453340353181 + 0.00273851376243852bouwvergunningen[t] -0.0384193212797573uitvoer[t] + 1.90004686501017e-05personenwagens[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)6.014533403531810.7556117.959800
bouwvergunningen0.002738513762438520.0014891.83920.0711850.035592
uitvoer-0.03841932127975730.007471-5.14224e-062e-06
personenwagens1.90004686501017e-051.2e-051.53250.1310250.065512


Multiple Linear Regression - Regression Statistics
Multiple R0.567738572912336
R-squared0.322327087172535
Adjusted R-squared0.286023181128207
F-TEST (value)8.87857870662627
F-TEST (DF numerator)3
F-TEST (DF denominator)56
p-value6.59891388756773e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.43894750687935
Sum Squared Residuals10.7897951725534


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
17.17.5289540495103-0.428954049510305
27.27.36404410757928-0.16404410757928
37.27.4070685089383-0.2070685089383
47.17.3578341361418-0.257834136141803
56.97.40580348554146-0.505803485541455
66.87.54208454891311-0.74208454891311
76.87.51609643547895-0.716096435478951
86.87.46846435272228-0.668464352722284
96.97.64209601465233-0.74209601465233
107.17.41647305799164-0.316473057991642
117.27.53929242494146-0.339292424941456
127.27.38971623337559-0.189716233375588
137.17.41668505038593-0.316685050385929
147.17.62767388538693-0.527673885386929
157.27.33919793743086-0.139197937430862
167.57.7158139210074-0.215813921007403
177.77.72252103037835-0.0225210303783494
187.87.81865706194785-0.0186570619478455
197.77.8180593549838-0.118059354983802
207.77.97603191429327-0.276031914293265
217.87.90432432169563-0.104324321695626
2287.918979369737480.0810206302625181
238.18.067337952844010.0326620471559932
248.18.001277915884110.0987220841158932
2588.15689906568-0.15689906568
268.17.985902456388350.114097543611646
278.27.896773274943040.303226725056961
288.48.058630517295120.341369482704882
298.57.817088220449380.682911779550617
308.58.102973316042940.397026683957062
318.57.755861128120960.744138871879042
328.57.753801086483440.746198913516557
338.57.650178663889620.849821336110384
348.47.425158578427410.974841421572588
358.37.544765344219440.755234655780559
368.27.252834056205590.947165943794413
378.17.274825245018710.825174754981285
387.97.1590314681750.740968531825003
397.67.015271578527240.584728421472759
407.37.052705525080770.247294474919229
417.16.996964311821550.10303568817845
4277.16120400870534-0.161204008705342
437.17.16242001142004-0.0624200114200389
447.17.34228051253213-0.242280512532129
457.17.1069738147109-0.00697381471090333
467.37.36177032673124-0.0617703267312427
477.37.276235145495830.0237648545041729
487.37.267541632084750.0324583679152456
497.27.33355193086507-0.13355193086507
507.27.40738422339064-0.207384223390638
517.17.38827459766181-0.288274597661808
527.17.14785131147412-0.0478513114741164
537.17.17425942297998-0.0742594229799812
547.27.58462677581325-0.384626775813249
557.37.33743815601533-0.0374381560153299
567.47.47874050689777-0.0787405068977731
577.47.48181859161387-0.0818185916138734
587.57.5111046639032-0.0111046639032017
597.47.71038573612483-0.310385736124833
607.47.66198772304922-0.261987723049216


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.01034080492301530.02068160984603050.989659195076985
80.00507531967228120.01015063934456240.994924680327719
90.0022943907639480.004588781527895990.997705609236052
100.001172967829522220.002345935659044440.998827032170478
110.001276449903424310.002552899806848620.998723550096576
120.0005063761783324810.001012752356664960.999493623821668
130.0001464870444057940.0002929740888115880.999853512955594
144.87036555059927e-059.74073110119853e-050.999951296344494
151.80441580313357e-053.60883160626713e-050.999981955841969
160.000859429833950570.001718859667901140.999140570166049
170.000847756457605850.00169551291521170.999152243542394
180.0004033104192640590.0008066208385281180.999596689580736
190.0001799584998818550.0003599169997637090.999820041500118
200.0002276144880434230.0004552289760868470.999772385511957
210.0001425584100228620.0002851168200457250.999857441589977
225.49960968488051e-050.000109992193697610.999945003903151
232.08610310782495e-054.17220621564989e-050.999979138968922
247.44910126241524e-061.48982025248305e-050.999992550898738
255.20708878638697e-061.04141775727739e-050.999994792911214
262.00527812605127e-064.01055625210255e-060.999997994721874
278.81831199006623e-071.76366239801325e-060.999999118168801
287.21898211738376e-061.44379642347675e-050.999992781017883
290.0002220736971888940.0004441473943777890.999777926302811
300.00143977568756750.002879551375135010.998560224312433
310.01541635337664250.03083270675328490.984583646623358
320.1314132654743840.2628265309487680.868586734525616
330.5993726750545740.8012546498908510.400627324945426
340.9564429189887670.08711416202246510.0435570810112325
350.9918968525874130.01620629482517380.0081031474125869
360.9995394939872230.0009210120255542780.000460506012777139
370.9999953115318589.37693628300463e-064.68846814150232e-06
380.9999999871451432.57097144521289e-081.28548572260645e-08
390.9999999988544382.29112448462704e-091.14556224231352e-09
400.9999999994862851.02743016410199e-095.13715082050993e-10
410.9999999978221084.35578438916075e-092.17789219458037e-09
420.9999999875872862.48254269800717e-081.24127134900359e-08
430.99999993256181.34876399709746e-076.74381998548729e-08
440.9999996721239626.55752076393651e-073.27876038196825e-07
450.9999982966471793.40670564149155e-061.70335282074577e-06
460.9999924878245381.50243509234769e-057.51217546173846e-06
470.9999838258739923.2348252016592e-051.6174126008296e-05
480.99999263746991.47250602001017e-057.36253010005086e-06
490.9999876927315292.46145369412644e-051.23072684706322e-05
500.9999826681347663.46637304673616e-051.73318652336808e-05
510.9998639384821190.0002721230357628710.000136061517881436
520.9990688404254920.001862319149014920.000931159574507458
530.9982137233021940.00357255339561210.00178627669780605


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level400.851063829787234NOK
5% type I error level440.936170212765957NOK
10% type I error level450.957446808510638NOK