Multiple Linear Regression - Estimated Regression Equation
Werkloosheid[t] = + 8.03995446577923 -0.183157594865443inflatie[t] -0.00101966180929971nieuwe_res_woningen[t] + 0.000156102987458662private_voertuigen[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)8.039954465779230.09546684.217900
inflatie-0.1831575948654430.03407-5.37591e-061e-06
nieuwe_res_woningen-0.001019661809299710.003694-0.2760.7835130.391756
private_voertuigen0.0001561029874586620.0013470.11590.908170.454085


Multiple Linear Regression - Regression Statistics
Multiple R0.577050206231421
R-squared0.332986940511725
Adjusted R-squared0.298486265020952
F-TEST (value)9.651606404077
F-TEST (DF numerator)3
F-TEST (DF denominator)58
p-value2.91180005048686e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.460062967848792
Sum Squared Residuals12.2761601943786


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
16.97.36503769572793-0.465037695727927
277.38048507935978-0.380485079359783
377.39835784080294-0.398357840802938
477.42917394947864-0.429173949478638
577.3891704231934-0.389170423193391
67.17.40985870951485-0.30985870951485
77.37.4626053853364-0.162605385336404
87.67.451772829268030.148227170731971
97.97.523390458006280.376609541993718
108.17.49082556715590.609174432844101
118.27.50689762509050.693102374909497
128.37.65577383265630.644226167343702
138.57.588105725673470.911894274326528
148.57.574022324880790.925977675119206
158.57.61416337439580.8858366256042
168.57.714370113139690.785629886860307
178.57.705920897868340.794079102131661
188.47.89563788609040.5043621139096
198.37.938901952955710.361098047044288
208.27.986749599545820.213250400454178
218.18.071093354551840.0289066454481619
2288.22651979131725-0.226519791317246
238.18.26184265499474-0.161842654994744
248.18.17384953116144-0.0738495311614436
2588.35565419691497-0.355654196914975
267.88.22561623590037-0.425616235900368
277.78.11113960737936-0.411139607379365
287.77.92929799477703-0.22929799477703
297.87.91751391717941-0.117513917179412
307.77.675401070818490.0245989291815109
317.57.66713466701331-0.167134667013314
327.17.53747520390398-0.437475203903984
3377.45779078137627-0.457790781376267
347.17.18649470241104-0.0864947024110401
357.37.02598539310450.274014606895493
367.47.054090169041870.345909830958133
377.36.971643002856580.328356997143415
386.96.96093692071871-0.0609369207187082
396.77.09311769683504-0.393117696835038
406.77.27717560163414-0.577175601634143
416.87.24485804278803-0.444858042788027
426.97.37032851957065-0.470328519570647
437.17.40517757171303-0.305177571713026
447.27.47847692540255-0.278476925402552
457.17.5237237764695-0.423723776469495
467.17.58353401695615-0.483534016956155
476.97.78196701268213-0.881967012682132
4877.82689855531999-0.826898555319985
497.27.80183265658268-0.60183265658268
507.57.77980410555333-0.27980410555333
517.97.807093125186930.0929068748130712
5287.729654234048390.270345765951615
537.97.687339863184770.212660136815232
547.97.724607076939180.175392923060824
557.97.76972371085730.130276289142707
5687.720601007550770.279398992449232
5787.786550957985910.213449042014087
5887.814863779386310.185136220613693
5987.811255683248870.188744316751129
607.97.738226613917360.161773386082639
6187.760783734709340.239216265290656
628.47.691705265915520.708294734084484


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.001843741878402090.003687483756804170.998156258121598
80.01769023702769060.03538047405538120.98230976297231
90.005418590390311220.01083718078062240.994581409609689
100.02855049559192420.05710099118384850.971449504408076
110.0224848144156660.04496962883133210.977515185584334
120.04584591175411280.09169182350822550.954154088245887
130.03953616137403480.07907232274806960.960463838625965
140.02888269680203930.05776539360407860.97111730319796
150.02892817592956270.05785635185912540.971071824070437
160.1233752053527840.2467504107055680.876624794647216
170.186017924085660.372035848171320.81398207591434
180.7091214720374550.5817570559250890.290878527962545
190.7907708515289620.4184582969420760.209229148471038
200.9144201988181880.1711596023636250.0855798011818124
210.9487650971739430.1024698056521130.0512349028260566
220.9682867997036180.06342640059276420.0317132002963821
230.9660830411024220.06783391779515560.0339169588975778
240.9562568391091840.08748632178163220.0437431608908161
250.951087266165080.09782546766983920.0489127338349196
260.9477778496666640.1044443006666720.0522221503333361
270.9403460241477270.1193079517045470.0596539758522733
280.9203650397703220.1592699204593550.0796349602296776
290.8905398589500610.2189202820998770.109460141049939
300.8526621361387180.2946757277225640.147337863861282
310.813268471791720.3734630564165610.18673152820828
320.8118798038005880.3762403923988230.188120196199412
330.8109173668160370.3781652663679270.189082633183963
340.7584774470837480.4830451058325040.241522552916252
350.72529001673210.54941996653580.2747099832679
360.7181623080638270.5636753838723460.281837691936173
370.7478606666801770.5042786666396470.252139333319823
380.7381884416728240.5236231166543530.261811558327176
390.7042353935214860.5915292129570280.295764606478514
400.6838061606786330.6323876786427340.316193839321367
410.6320059505329550.735988098934090.367994049467045
420.5854737268027550.829052546394490.414526273197245
430.5157447401128330.9685105197743350.484255259887167
440.445463664035240.890927328070480.55453633596476
450.5106599490103970.9786801019792060.489340050989603
460.7424329652819850.515134069436030.257567034718015
470.9298823929789950.1402352140420090.0701176070210046
480.9722642896798920.05547142064021630.0277357103201082
490.9979673909631030.004065218073794130.00203260903689707
500.9992406389259420.001518722148116080.00075936107405804
510.997578423977020.004843152045958760.00242157602297938
520.9925226647299860.01495467054002850.00747733527001426
530.986363310089290.02727337982141960.0136366899107098
540.9729035240842120.05419295183157690.0270964759157885
550.9454979463252520.1090041073494960.0545020536747481


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level40.0816326530612245NOK
5% type I error level90.183673469387755NOK
10% type I error level200.408163265306122NOK