Multiple Linear Regression - Estimated Regression Equation
vrouwen[t] = -274.181358409825 + 1.11917323007221Mannen[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-274.18135840982519.405223-14.129300
Mannen1.119173230072210.006873162.841200


Multiple Linear Regression - Regression Statistics
Multiple R0.999096156018344
R-squared0.998193128970631
Adjusted R-squared0.998155485824186
F-TEST (value)26517.2607296298
F-TEST (DF numerator)1
F-TEST (DF denominator)48
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.87481856674589
Sum Squared Residuals2268.63025563235


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
125502539.4201419917110.5798580082911
225722565.161126283376.83887371663055
325972595.378803495321.62119650468117
426232630.07317362756-7.07317362755731
526472654.69498468915-7.69498468914589
626702678.19762252066-8.19762252066228
726902699.46191389203-9.46191389203424
827052711.77281942283-6.77281942282854
927212728.56041787391-7.56041787391168
1027292733.0371107942-4.03711079420051
1127472753.1822289355-6.18222893550027
1227612766.61230769637-5.61230769636678
1327732778.92321322716-5.92321322716109
1427862793.4724652181-7.47246521809981
1527962805.78337074889-9.78337074889411
1628072813.6175833594-6.61758335939957
1728172822.57096919998-5.57096919997724
1828272830.40518181048-3.40518181048271
1928382838.23939442099-0.239394420988168
2028472846.073607031490.926392968506368
2128532847.192780261575.80721973843416
2228602853.9078196426.09218035800091
2328642857.265339332226.73466066778428
2428692860.622859022438.37714097756765
2528732862.8612054825810.1387945174232
2628772868.457071632948.54292836706219
2728832874.05293778338.94706221670114
2828962888.602189774247.39781022576243
2929052898.674748844896.32525115511254
3029192914.34317406594.65682593410163
3129332928.892426056844.10757394316291
3229482945.680024507922.31997549207978
3329592957.990930038711.00906996128547
3429692968.063489109360.936510890635599
3529782973.659355259734.34064474027454
3629882983.731914330384.26808566962464
3729962990.446953710815.55304628919139
3830032998.281166321314.71883367868594
3930113004.996205701756.00379429825269
4030183010.592071852117.40792814789165
4130283021.783804152836.21619584716954
4230383035.21388291372.78611708630304
4330493046.405615214422.59438478558096
4430633060.954867205362.04513279464222
4530813079.980812116591.01918788341469
4631003102.36427671803-2.36427671802951
4731223128.10526100969-6.10526100969026
4831453154.96541853142-9.96541853142332
4931673178.46805636294-11.4680563629397
5031933209.80490680496-16.8049068049615


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.01656474473510930.03312948947021870.983435255264891
60.02102953581978710.04205907163957430.978970464180213
70.01802258823845680.03604517647691370.981977411761543
80.03761123604780760.07522247209561520.962388763952192
90.04204793605353820.08409587210707650.957952063946462
100.07565342004236610.1513068400847320.924346579957634
110.0769808795697740.1539617591395480.923019120430226
120.08319697466950050.1663939493390010.9168030253305
130.08625821938925310.1725164387785060.913741780610747
140.08983711574335010.17967423148670.91016288425665
150.1221388404082390.2442776808164780.877861159591761
160.1984735479711670.3969470959423340.801526452028833
170.3653535652262760.7307071304525510.634646434773724
180.6398557708293580.7202884583412830.360144229170642
190.8766314893437050.246737021312590.123368510656295
200.9721336901612560.05573261967748850.0278663098387443
210.994425627471060.01114874505788050.00557437252894027
220.9981594328562030.003681134287594210.0018405671437971
230.9991238494345320.001752301130935490.000876150565467745
240.9994344603528650.001131079294270690.000565539647135346
250.9995635924415750.0008728151168502330.000436407558425116
260.999493594174710.001012811650580270.000506405825290136
270.9993202588322470.00135948233550680.0006797411677534
280.9989468830692560.002106233861487450.00105311693074373
290.9983977597284150.003204480543170430.00160224027158521
300.9979381424337540.004123715132492810.0020618575662464
310.9974937723149860.005012455370028090.00250622768501404
320.998070961208370.00385807758326030.00192903879163015
330.999404379114360.001191241771279660.00059562088563983
340.9999525312914719.49374170572194e-054.74687085286097e-05
350.9999773910805874.52178388263248e-052.26089194131624e-05
360.9999925817737711.48364524575147e-057.41822622875734e-06
370.999992666488861.46670222810077e-057.33351114050386e-06
380.9999983465659313.30686813826236e-061.65343406913118e-06
390.999997580871234.838257540355e-062.4191287701775e-06
400.9999854497946822.91004106363088e-051.45502053181544e-05
410.9999169840385630.00016603192287498.30159614374502e-05
420.9999261046319270.0001477907361457447.38953680728722e-05
430.9999156606471440.0001686787057122598.43393528561293e-05
440.9996638750816730.000672249836653760.00033612491832688
450.9974875630874060.005024873825188330.00251243691259417


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level240.585365853658537NOK
5% type I error level280.682926829268293NOK
10% type I error level310.75609756097561NOK