Multiple Linear Regression - Estimated Regression Equation
Werkl_Vrouwen[t] = + 2.70950552586520 + 0.835106106989052Werkl_Mannen[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2.709505525865201.1110252.43870.0178210.00891
Werkl_Mannen0.8351061069890520.1542425.41431e-061e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.579423898585697
R-squared0.335732054252248
Adjusted R-squared0.324279158635908
F-TEST (value)29.3141634656339
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value1.2302241262363e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.78189229948904
Sum Squared Residuals35.458622944015


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.99.473864992476511.42613500752349
2109.13982254968090.860177450319103
39.28.97280132828310.227198671716909
49.29.0563119389820.143688061018004
59.59.22333316037980.276666839620194
69.69.22333316037980.376666839620194
79.59.22333316037980.276666839620194
89.18.97280132828310.127198671716909
98.98.9728013282831-0.0728013282830901
1098.638758885487470.361241114512530
1110.18.97280132828311.12719867171691
1210.38.97280132828311.32719867171691
1310.29.0563119389821.14368806101800
149.69.13982254968090.460177450319099
159.29.13982254968090.0601774503190984
169.39.30684377107871-0.00684377107871056
179.49.47386499247652-0.0738649924765206
189.49.55737560317543-0.157375603175426
199.29.55737560317543-0.357375603175427
2099.55737560317543-0.557375603175426
2199.30684377107871-0.306843771078711
2298.805780106885280.19421989311472
239.88.471737664089661.32826233591034
24108.221205831992941.77879416800706
259.88.304716442691851.49528355730815
269.38.471737664089660.82826233591034
2798.555248274788560.444751725211435
2898.638758885487470.361241114512530
299.18.722269496186370.377730503813624
309.18.638758885487470.46124111451253
319.18.471737664089660.62826233591034
329.28.555248274788560.644751725211434
338.88.388227053390750.411772946609246
348.38.054184610595130.245815389404866
358.48.304716442691850.095283557308151
368.18.22120583199294-0.121205831992944
377.78.05418461059513-0.354184610595134
387.97.97067399989623-0.0706739998962283
397.97.887163389197320.0128366108026765
4088.13769522129404-0.137695221294039
417.98.38822705339075-0.488227053390754
427.68.38822705339075-0.788227053390755
437.18.05418461059513-0.954184610595134
446.87.80365277849842-1.00365277849842
456.57.5531209464017-1.05312094640170
466.97.80365277849842-0.903652778498418
478.28.72226949618637-0.522269496186376
488.78.80578010688528-0.105780106885281
498.38.47173766408966-0.171737664089659
507.97.803652778498420.0963472215015821
517.57.5531209464017-0.0531209464017029
527.87.88716338919732-0.087163389197324
538.38.63875888548747-0.338758885487469
548.49.1398225496809-0.7398225496809
558.29.30684377107871-1.10684377107871
567.79.1398225496809-1.4398225496809
577.28.88929071758418-1.68929071758419
587.38.9728013282831-1.67280132828309
598.19.39035438177762-1.29035438177762
608.59.47386499247652-0.973864992476521


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.1044538689823270.2089077379646530.895546131017674
60.05483459348994610.1096691869798920.945165406510054
70.03239777966417570.06479555932835140.967602220335824
80.01209586237956750.02419172475913510.987904137620432
90.004423281040885110.008846562081770230.995576718959115
100.01229109698441290.02458219396882570.987708903015587
110.03126764155795270.06253528311590540.968732358442047
120.07672672496325720.1534534499265140.923273275036743
130.08766328818893570.1753265763778710.912336711811064
140.05988219759863280.1197643951972660.940117802401367
150.05228540305601930.1045708061120390.94771459694398
160.05173736931496080.1034747386299220.94826263068504
170.0491721882539890.0983443765079780.95082781174601
180.04161566595276250.0832313319055250.958384334047238
190.03643914532702260.07287829065404530.963560854672977
200.03398808836022100.06797617672044210.96601191163978
210.02760735316533580.05521470633067160.972392646834664
220.02112249627904030.04224499255808060.97887750372096
230.02670749596022350.05341499192044690.973292504039777
240.05443304530035030.1088660906007010.94556695469965
250.09050722899221210.1810144579844240.909492771007788
260.1061620898825500.2123241797651010.89383791011745
270.1199714394401280.2399428788802550.880028560559872
280.1308990412172870.2617980824345750.869100958782713
290.1433579818145240.2867159636290480.856642018185476
300.1700401514140010.3400803028280030.829959848585999
310.2294940562955170.4589881125910340.770505943704483
320.3457061271018620.6914122542037240.654293872898138
330.4561833453633320.9123666907266630.543816654636668
340.5587924852655380.8824150294689250.441207514734462
350.6307377031608120.7385245936783770.369262296839188
360.681693156361340.6366136872773210.318306843638661
370.7246738249097880.5506523501804250.275326175090212
380.725672151414970.548655697170060.27432784858503
390.7219261497105350.5561477005789290.278073850289465
400.7185051866597420.5629896266805160.281494813340258
410.709731017260390.5805379654792190.290268982739609
420.7156253776598370.5687492446803260.284374622340163
430.7470784269133220.5058431461733560.252921573086678
440.7904035593768530.4191928812462940.209596440623147
450.8813773096493610.2372453807012770.118622690350639
460.9270484717581790.1459030564836430.0729515282418215
470.899013155671510.2019736886569810.100986844328491
480.9239411480840550.1521177038318910.0760588519159453
490.9085804925008350.182839014998330.091419507499165
500.8650368822870670.2699262354258650.134963117712933
510.7856186311049730.4287627377900540.214381368895027
520.7204735856873820.5590528286252370.279526414312618
530.950609249963710.0987815000725780.049390750036289
540.9983631949400280.003273610119944830.00163680505997241
550.995785471441920.008429057116159630.00421452855807982


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.0588235294117647NOK
5% type I error level60.117647058823529NOK
10% type I error level150.294117647058824NOK