Multiple Linear Regression - Estimated Regression Equation
WLMan[t] = + 2.46122394441475 + 0.525724444031325WLVrouw[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2.461223944414750.5049684.8749e-064e-06
WLVrouw0.5257244440313250.056449.314700


Multiple Linear Regression - Regression Statistics
Multiple R0.77417457022882
R-squared0.599346265188978
Adjusted R-squared0.592438442174995
F-TEST (value)86.7634078023937
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value4.02788913334007e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.427523556935347
Sum Squared Residuals10.6010307206098


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.27.665895940324880.534104059675124
287.613323495921730.386676504078266
37.57.350461273906070.149538726093928
46.86.82473682987475-0.0247368298747477
56.56.66701949666535-0.167019496665350
66.66.92988171868101-0.329881718681012
77.67.92875816234053-0.32875816234053
888.29676527316246-0.296765273162456
98.18.19162038435619-0.091620384356192
107.77.718468384728-0.0184683847279990
117.57.297888829502940.202111170497061
127.67.297888829502940.302111170497061
137.87.455606162712340.344393837287663
147.87.508178607115470.291821392884531
157.87.455606162712340.344393837287663
167.57.24531638509980.254683614900193
177.57.140171496293540.359828503706458
187.17.19274394069667-0.0927439406966748
197.57.77104082913113-0.271040829131131
207.57.8761857179374-0.376185717937397
217.67.82361327353426-0.223613273534264
227.77.508178607115470.191821392884531
237.77.297888829502940.402111170497061
247.97.350461273906070.549538726093928
258.17.40303371830920.696966281690795
268.27.40303371830920.796966281690795
278.27.297888829502940.90211117049706
288.27.192743940696671.00725605930332
297.97.192743940696670.707256059303326
307.37.192743940696670.107256059303325
316.97.61332349592173-0.713323495921734
326.67.718468384728-1.118468384728
336.77.61332349592173-0.913323495921734
346.97.35046127390607-0.450461273906072
3577.19274394069667-0.192743940696674
367.17.19274394069667-0.0927439406966748
377.27.2453163850998-0.0453163850998065
387.17.2453163850998-0.145316385099807
396.97.2453163850998-0.345316385099806
4077.29788882950294-0.297888829502939
416.87.08759905189041-0.28759905189041
426.46.82473682987475-0.424736829874747
436.76.87730927427788-0.177309274277880
446.66.71959194106848-0.119591941068482
456.46.50930216345595-0.109302163455952
466.36.61444705226222-0.314447052262217
476.26.61444705226222-0.414447052262217
486.56.66701949666535-0.167019496665350
496.86.614447052262220.185552947737783
506.86.456729719052820.34327028094718
516.46.193867497037160.206132502962843
526.16.036150163827760.0638498361722397
535.85.87843283061836-0.0784328306183626
546.16.088722608230890.0112773917691069
557.26.772164385471610.427835614528386
567.37.035026607487280.264973392512723
576.96.824736829874750.0752631701252529
586.16.61444705226222-0.514447052262218
595.86.40415727464969-0.604157274649687
606.26.56187460785908-0.361874607859084


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.009649902375378070.01929980475075610.990350097624622
60.03074334218857420.06148668437714840.969256657811426
70.3157938411561030.6315876823122070.684206158843897
80.325157402556030.650314805112060.67484259744397
90.2221105804808680.4442211609617360.777889419519132
100.1407501016827310.2815002033654630.859249898317269
110.09950659237932720.1990131847586540.900493407620673
120.08015847311083660.1603169462216730.919841526889163
130.06807540225376120.1361508045075220.931924597746239
140.05034534611568660.1006906922313730.949654653884313
150.0400801048103490.0801602096206980.959919895189651
160.02618427749665160.05236855499330310.973815722503348
170.01988846088623510.03977692177247010.980111539113765
180.01324930906999370.02649861813998740.986750690930006
190.01170557166850910.02341114333701810.98829442833149
200.01246504993431620.02493009986863230.987534950065684
210.008530844035787160.01706168807157430.991469155964213
220.005205514542207880.01041102908441580.994794485457792
230.004673223555442110.009346447110884210.995326776444558
240.006977506467584770.01395501293516950.993022493532415
250.01826772696598010.03653545393196020.98173227303402
260.06094170434997720.1218834086999540.939058295650023
270.2164710477741970.4329420955483950.783528952225803
280.6356371280676630.7287257438646740.364362871932337
290.8614839033285670.2770321933428660.138516096671433
300.8658931353112930.2682137293774140.134106864688707
310.9180471011088630.1639057977822740.0819528988911368
320.9893858977619570.02122820447608510.0106141022380426
330.9980466076120980.003906784775804030.00195339238790202
340.99800608018540.003987839629199930.00199391981459996
350.9967596067179030.006480786564193770.00324039328209688
360.9945696009397010.01086079812059740.00543039906029869
370.991313372417270.01737325516546050.00868662758273023
380.9859963960638560.02800720787228780.0140036039361439
390.9810131410984120.0379737178031760.018986858901588
400.972583705568290.05483258886341850.0274162944317093
410.9629613901353320.0740772197293360.037038609864668
420.965287787253410.06942442549318140.0347122127465907
430.948518808975090.1029623820498220.051481191024911
440.9220520904180580.1558958191638840.077947909581942
450.8845307218514710.2309385562970590.115469278148529
460.8623957954380170.2752084091239660.137604204561983
470.8671959767437520.2656080465124960.132804023256248
480.8185892216790420.3628215566419160.181410778320958
490.7524826497046170.4950347005907660.247517350295383
500.7347190159350510.5305619681298980.265280984064949
510.6878633408970280.6242733182059440.312136659102972
520.6146559265648770.7706881468702450.385344073435123
530.5511465857320880.8977068285358240.448853414267912
540.8240957273555110.3518085452889770.175904272644489
550.9676798296689180.06464034066216360.0323201703310818


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level40.0784313725490196NOK
5% type I error level180.352941176470588NOK
10% type I error level250.490196078431373NOK