Multiple Linear Regression - Estimated Regression Equation
WLVrouw[t] = + 0.757256418655039 + 1.14003880168309WLMan[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.7572564186550390.8772410.86320.3915690.195785
WLMan1.140038801683090.1223929.314700


Multiple Linear Regression - Regression Statistics
Multiple R0.77417457022882
R-squared0.599346265188978
Adjusted R-squared0.592438442174995
F-TEST (value)86.7634078023935
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value4.02788913334007e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.629565297392559
Sum Squared Residuals22.9884428934969


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19.910.1055745924563-0.205574592456331
29.89.87756683211973-0.0775668321197314
39.39.30754743127819-0.00754743127818791
48.38.50952027010003-0.209520270100027
588.1675086295951-0.167508629595102
68.58.281512509763410.21848749023659
710.49.42155131144650.978448688553503
811.19.877566832119731.22243316788027
910.99.991570712288040.90842928771196
10109.53555519161480.464444808385194
119.29.30754743127819-0.107547431278189
129.29.4215513114465-0.221551311446498
139.59.64955907178311-0.149559071783114
149.69.64955907178311-0.0495590717831148
159.59.64955907178311-0.149559071783114
169.19.30754743127819-0.207547431278189
178.99.30754743127819-0.407547431278188
1898.851531910604950.148468089395046
1910.19.307547431278190.79245256872181
2010.39.307547431278190.992452568721812
2110.29.42155131144650.778448688553502
229.69.53555519161480.0644448083851935
239.29.5355551916148-0.335555191614807
249.39.76356295195142-0.463562951951423
259.49.99157071228804-0.59157071228804
269.410.1055745924563-0.705574592456348
279.210.1055745924563-0.90557459245635
28910.1055745924563-1.10557459245635
2999.76356295195142-0.763562951951424
3099.07953967094157-0.079539670941571
319.88.623524150268341.17647584973166
32108.281512509763411.71848749023659
339.88.395516389931721.40448361006828
349.38.623524150268340.676475849731664
3598.737528030436640.262471969563355
3698.851531910604950.148468089395046
379.18.965535790773260.134464209226737
389.18.851531910604950.248468089395046
399.18.623524150268340.476475849731663
409.28.737528030436640.462471969563354
418.88.509520270100030.290479729899973
428.38.05350474942680.246495250573207
438.48.395516389931720.00448361006828094
448.18.28151250976341-0.181512509763411
457.78.0535047494268-0.353504749426793
467.97.93950086925848-0.0395008692584838
477.97.825496989090180.0745030109098244
4888.1675086295951-0.167508629595102
497.98.50952027010003-0.609520270100027
507.68.50952027010003-0.909520270100028
517.18.0535047494268-0.953504749426794
526.87.71149310892187-0.911493108921867
536.57.36948146841694-0.869481468416941
546.97.71149310892187-0.811493108921866
558.28.96553579077326-0.765535790773264
568.79.07953967094157-0.379539670941572
578.38.62352415026834-0.323524150268336
587.97.711493108921870.188506891078134
597.57.369481468416940.130518531583059
607.87.82549698909018-0.0254969890901761


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.004650757811670100.009301515623340210.99534924218833
60.009340183580192720.01868036716038540.990659816419807
70.2279550575123670.4559101150247330.772044942487633
80.4515285939390320.9030571878780630.548471406060968
90.4213483069706080.8426966139412150.578651693029392
100.3228236519060660.6456473038121310.677176348093934
110.2657384671505190.5314769343010390.73426153284948
120.2372028103857080.4744056207714160.762797189614292
130.2012566474775080.4025132949550160.798743352522492
140.1532350299081780.3064700598163560.846764970091822
150.1205421278683780.2410842557367560.879457872131622
160.09051552424512580.1810310484902520.909484475754874
170.08058094654521860.1611618930904370.919419053454781
180.05362392538885810.1072478507777160.946376074611142
190.06966354117439140.1393270823487830.930336458825609
200.1226903879757910.2453807759515830.877309612024209
210.1416883783276320.2833767566552630.858311621672368
220.1068129803509750.2136259607019510.893187019649025
230.0967265658460770.1934531316921540.903273434153923
240.09875779797079360.1975155959415870.901242202029206
250.1095426207165240.2190852414330480.890457379283476
260.1239113903082410.2478227806164820.87608860969176
270.1618549734777610.3237099469555210.83814502652224
280.2625989675178650.5251979350357300.737401032482135
290.3183936352783710.6367872705567420.681606364721629
300.2629219957542710.5258439915085430.737078004245729
310.3688793060844320.7377586121688630.631120693915568
320.7547910577245680.4904178845508640.245208942275432
330.929974517332040.1400509653359190.0700254826679595
340.939385290282650.1212294194347010.0606147097173503
350.9224909538504430.1550180922991150.0775090461495574
360.8968704238591670.2062591522816660.103129576140833
370.863834886882150.27233022623570.13616511311785
380.837165792053010.325668415893980.16283420794699
390.8538539715778440.2922920568443130.146146028422156
400.8868037206605010.2263925586789970.113196279339499
410.9048858570405870.1902282859188270.0951141429594134
420.9201203818201760.1597592363596490.0798796181798243
430.916534953130610.1669300937387780.0834650468693892
440.900934671112990.1981306577740220.0990653288870108
450.8790423856548340.2419152286903320.120957614345166
460.860039502305780.279920995388440.13996049769422
470.8575462173106320.2849075653787360.142453782689368
480.8282509304078950.343498139184210.171749069592105
490.7754264382672260.4491471234655470.224573561732773
500.7639663094194690.4720673811610620.236033690580531
510.7816941440132190.4366117119735620.218305855986781
520.8055179842513250.388964031497350.194482015748675
530.8872918660793290.2254162678413430.112708133920672
540.9899879155393830.02002416892123360.0100120844606168
550.995885120348770.008229759302461360.00411487965123068


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.0392156862745098NOK
5% type I error level40.0784313725490196NOK
10% type I error level40.0784313725490196OK