Multiple Linear Regression - Estimated Regression Equation
Werkloosheid[t] = + 11.8776091849868 + 0.0243650510801236consumerconfidence[t] + 0.0195104753475393HICP[t] -0.884739521144813OLO12[t] -4.62917896606381e-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
consumerconfidence0.02436505108012360.0092852.62410.0112230.005611
HICP0.01951047534753930.0470950.41430.6802820.340141
OLO12-0.8847395211448130.185007-4.78221.3e-057e-06
Bel20-4.62917896606381e-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
18.38.101863600464230.198136399535775
28.78.623191304377930.0768086956220665
38.98.84707028798090.052929712019109
48.99.13867462944095-0.238674629440954
58.18.40083462383876-0.300834623838760
688.26068764037629-0.260687640376292
78.38.75238913775627-0.452389137756270
88.58.338271503156640.161728496843361
98.78.27690219907410.423097800925895
108.68.143715422991150.456284577008847
118.38.060551123682210.239448876317786
127.98.18498682269283-0.284986822692834
137.98.09205238937331-0.192052389373308
148.18.13989010554186-0.03989010554186
158.38.247824748516370.0521752514836275
168.17.94406015219580.155939847804205
177.47.92641364913521-0.526413649135208
187.37.66222178983115-0.362221789831151
197.77.464963759713490.235036240286510
2087.469416741797160.530583258202842
2187.401960103189720.598039896810278
227.77.388428520154150.311571479845853
236.97.235904821314-0.335904821313998
246.67.7364114212293-1.13641142122930
256.97.65297091377792-0.752970913777916
267.57.200030873677670.299969126322330
277.97.074650110624720.825349889375276
287.76.894507199290750.80549280070925
296.56.81110129921645-0.311101299216446
306.16.71089221614751-0.610892216147513
316.46.98535950225213-0.585359502252127
326.87.28961999097614-0.489619990976144
337.17.28505700345561-0.185057003455609
347.37.27724959998530.0227504000146947
357.27.33211753541315-0.132117535413152
3677.04099916606083-0.04099916606083
3777.36419847302746-0.364198473027458
3877.4191215166813-0.419121516681301
397.37.32224811376027-0.0222481137602742
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
487.98.1346668623097-0.234666862309691
4988.35950330692978-0.359503306929781
508.18.1896219778874-0.0896219778874
518.18.17138249996817-0.0713824999681715
528.28.161037718447250.0389622815527481
5387.954422196780940.0455778032190585
548.37.72826097620020.571739023799794
558.57.790765783288840.709234216711163
568.67.790769737683390.809230262316611
578.78.0839172747310.616082725269009
588.78.407006357833050.292993642166954
598.58.341913203353410.158086796646587
608.48.41767193076613-0.0176719307661328


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.2714643217643750.5429286435287490.728535678235625
90.1795870369011790.3591740738023590.82041296309882
100.1062704646347770.2125409292695540.893729535365223
110.1060739657750460.2121479315500930.893926034224954
120.1489482936392070.2978965872784140.851051706360793
130.1488910314053880.2977820628107760.851108968594612
140.09013284201047330.1802656840209470.909867157989527
150.0641904182644670.1283808365289340.935809581735533
160.03759055131490760.07518110262981510.962409448685092
170.05231609345439230.1046321869087850.947683906545608
180.03709842207336220.07419684414672450.962901577926638
190.04504722569440680.09009445138881360.954952774305593
200.05548375575803250.1109675115160650.944516244241968
210.05620446816987920.1124089363397580.94379553183012
220.05073040587575320.1014608117515060.949269594124247
230.1298736986120800.2597473972241590.87012630138792
240.507525210107790.984949579784420.49247478989221
250.7522929453473820.4954141093052360.247707054652618
260.7042760343215660.5914479313568680.295723965678434
270.7561582641349370.4876834717301250.243841735865063
280.8573246245229050.285350750954190.142675375477095
290.9077442657929350.1845114684141310.0922557342070654
300.937156117352770.1256877652944610.0628438826472303
310.9452651635946420.1094696728107170.0547348364053584
320.9695825825054540.06083483498909130.0304174174945456
330.9761922967411680.04761540651766410.0238077032588321
340.9732905517334820.05341889653303560.0267094482665178
350.9732614086212090.05347718275758270.0267385913787914
360.9774667409471420.04506651810571680.0225332590528584
370.9984031215581860.003193756883627730.00159687844181387
380.9995190162315110.0009619675369776690.000480983768488835
390.999024912051880.001950175896241260.00097508794812063
400.9978596207083220.004280758583356310.00214037929167816
410.9987636627432050.002472674513590550.00123633725679528
420.997656479941730.004687040116541480.00234352005827074
430.9962438029236220.007512394152756260.00375619707637813
440.9922453106430730.01550937871385350.00775468935692674
450.9841841368736950.03163172625261080.0158158631263054
460.9689407877772670.0621184244454660.031059212222733
470.978614596588850.04277080682229840.0213854034111492
480.9685724139510430.06285517209791360.0314275860489568
490.9335114668823240.1329770662353510.0664885331176757
500.8807880550667820.2384238898664360.119211944933218
510.9973491173572820.005301765285436140.00265088264271807
520.995793708836050.008412582327899530.00420629116394976


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