Multiple Linear Regression - Estimated Regression Equation
Werkloosheid[t] = + 11.8776091849868 + 0.0243650510801236General[t] + 0.0195104753475394HICP[t] -0.884739521144813OLO[t] -4.62917896606383e-05Bel20[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)11.87760918498680.69997916.968500
General0.02436505108012360.0092852.62410.0112230.005611
HICP0.01951047534753940.0470950.41430.6802820.340141
OLO-0.8847395211448130.185007-4.78221.3e-057e-06
Bel20-4.62917896606383e-057.3e-05-0.62990.5313950.265698


Multiple Linear Regression - Regression Statistics
Multiple R0.79173314676329
R-squared0.626841375683701
Adjusted R-squared0.599702566642515
F-TEST (value)23.0976007359946
F-TEST (DF numerator)4
F-TEST (DF denominator)55
p-value3.07646130792705e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.418788040236288
Sum Squared Residuals9.64608824547228


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.38.101863600464220.198136399535780
28.78.623191304377930.0768086956220653
38.98.84707028798090.0529297120191077
48.99.13867462944095-0.238674629440953
58.18.40083462383876-0.30083462383876
688.26068764037629-0.260687640376292
78.38.75238913775627-0.452389137756271
88.58.338271503156640.16172849684336
98.78.27690219907410.423097800925895
108.68.143715422991150.456284577008847
118.38.060551123682210.239448876317786
127.98.18498682269284-0.284986822692834
137.98.09205238937331-0.192052389373308
148.18.13989010554186-0.03989010554186
158.38.247824748516370.0521752514836273
168.17.94406015219580.155939847804205
177.47.92641364913521-0.526413649135208
187.37.66222178983115-0.362221789831151
197.77.464963759713490.235036240286511
2087.469416741797160.530583258202842
2187.401960103189720.598039896810279
227.77.388428520154150.311571479845853
236.97.235904821314-0.335904821313998
246.67.7364114212293-1.13641142122930
256.97.65297091377792-0.752970913777916
267.57.200030873677670.29996912632233
277.97.074650110624730.825349889375275
287.76.894507199290750.80549280070925
296.56.81110129921645-0.311101299216446
306.16.71089221614751-0.610892216147513
316.46.98535950225213-0.585359502252127
326.87.28961999097614-0.489619990976144
337.17.28505700345561-0.185057003455610
347.37.27724959998530.0227504000146948
357.27.33211753541315-0.132117535413152
3677.04099916606083-0.0409991660608297
3777.36419847302746-0.364198473027458
3877.4191215166813-0.419121516681301
397.37.32224811376027-0.0222481137602740
407.57.59540679050298-0.095406790502983
417.27.69233328217517-0.492333282175171
427.77.540606890508020.159393109491985
4387.763237923397330.236762076602668
447.97.762781383042120.137218616957876
4587.93530241673790.0646975832620961
4688.02672117267862-0.0267211726786213
477.97.75386030260760.146139697392404
487.98.13466686230969-0.234666862309691
4988.35950330692978-0.359503306929781
508.18.1896219778874-0.0896219778874
518.18.17138249996817-0.0713824999681714
528.28.161037718447250.0389622815527479
5387.954422196780940.0455778032190583
548.37.72826097620020.571739023799794
558.57.790765783288840.709234216711163
568.67.790769737683390.809230262316611
578.78.083917274730990.616082725269009
588.78.407006357833050.292993642166954
598.58.341913203353410.158086796646587
608.48.41767193076613-0.0176719307661329


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.2714643217643750.5429286435287490.728535678235625
90.1795870369011800.3591740738023590.82041296309882
100.1062704646347770.2125409292695540.893729535365223
110.1060739657750460.2121479315500930.893926034224954
120.1489482936392080.2978965872784150.851051706360793
130.1488910314053890.2977820628107780.851108968594611
140.09013284201047280.1802656840209460.909867157989527
150.06419041826446630.1283808365289330.935809581735534
160.03759055131490790.07518110262981570.962409448685092
170.05231609345439160.1046321869087830.947683906545608
180.03709842207336240.07419684414672490.962901577926638
190.04504722569440680.09009445138881350.954952774305593
200.05548375575803170.1109675115160630.944516244241968
210.05620446816987950.1124089363397590.94379553183012
220.05073040587575340.1014608117515070.949269594124247
230.1298736986120800.2597473972241590.87012630138792
240.5075252101077860.9849495797844290.492474789892214
250.7522929453473830.4954141093052330.247707054652617
260.7042760343215640.5914479313568710.295723965678436
270.7561582641349370.4876834717301260.243841735865063
280.8573246245229040.2853507509541910.142675375477096
290.9077442657929360.1845114684141290.0922557342070644
300.9371561173527690.1256877652944620.0628438826472312
310.9452651635946420.1094696728107160.0547348364053579
320.9695825825054540.06083483498909130.0304174174945456
330.9761922967411690.04761540651766270.0238077032588313
340.9732905517334810.0534188965330370.0267094482665185
350.9732614086212080.05347718275758310.0267385913787916
360.9774667409471420.04506651810571540.0225332590528577
370.9984031215581860.003193756883628080.00159687844181404
380.9995190162315110.0009619675369776730.000480983768488836
390.999024912051880.001950175896241250.000975087948120626
400.9978596207083220.004280758583356740.00214037929167837
410.9987636627432050.002472674513590480.00123633725679524
420.997656479941730.004687040116541460.00234352005827073
430.9962438029236220.007512394152756270.00375619707637813
440.9922453106430730.01550937871385350.00775468935692676
450.9841841368736950.03163172625261080.0158158631263054
460.9689407877772660.06211842444546820.0310592122227341
470.978614596588850.04277080682229930.0213854034111497
480.9685724139510430.06285517209791340.0314275860489567
490.9335114668823250.1329770662353500.0664885331176752
500.8807880550667820.2384238898664350.119211944933217
510.9973491173572820.005301765285435890.00265088264271795
520.995793708836050.008412582327899780.00420629116394989


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level90.2NOK
5% type I error level140.311111111111111NOK
10% type I error level220.488888888888889NOK