Multiple Linear Regression - Estimated Regression Equation
Invoer/inflatie[t] = + 54.4678682869157 + 19736.9890382847`Uitvoer/inflatie`[t] -4260.49052841623Inflatie[t] -2600.41110213936M1[t] + 511.415961808663M2[t] + 397.466380062199M3[t] -191.940314138286M4[t] -1531.96966104220M5[t] -844.712461834646M6[t] -671.981889680457M7[t] + 400.300576732874M8[t] -172.657737688075M9[t] -272.504655250035M10[t] + 297.501985184866M11[t] -26.4309477551256t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)54.46786828691576051.679420.0090.9928590.496429
`Uitvoer/inflatie`19736.98903828476944.0960512.84230.006710.003355
Inflatie-4260.49052841623623.664301-6.831400
M1-2600.41110213936935.528045-2.77960.0079150.003958
M2511.415961808663707.6785160.72270.4736240.236812
M3397.466380062199714.5499040.55620.5807980.290399
M4-191.940314138286776.844708-0.24710.8059730.402986
M5-1531.96966104220952.047675-1.60910.1145820.057291
M6-844.712461834646859.821057-0.98240.3311420.165571
M7-671.981889680457732.053175-0.91790.3635440.181772
M8400.300576732874742.5378610.53910.5924770.296238
M9-172.657737688075712.221312-0.24240.8095550.404778
M10-272.504655250035701.299285-0.38860.6994260.349713
M11297.501985184866704.6799530.42220.6749040.337452
t-26.430947755125616.55801-1.59630.117430.058715


Multiple Linear Regression - Regression Statistics
Multiple R0.923156921377264
R-squared0.852218701486747
Adjusted R-squared0.806242297504847
F-TEST (value)18.5360016808238
F-TEST (DF numerator)14
F-TEST (DF denominator)45
p-value3.50830475781549e-14
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1088.85489387133
Sum Squared Residuals53352224.0958391


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110284.511956.8697125110-1672.36971251104
21279213389.6089591449-597.608959144895
312823.6153813244.3340116276-420.718631627615
413845.6666713468.4743527129377.192317287128
515335.6363613635.51142771941700.12493228065
611188.512419.5050571235-1231.0050571235
713633.2513555.632963860977.6170361390786
812298.4666712892.0941991091-593.627529109136
915353.6363613643.61960380341710.01675619661
1012696.1538512908.1480398015-211.994189801517
1112213.9333313125.4422452141-911.508915214052
1213683.7272713323.6874872049360.039782795114
1311214.1428611610.3672592507-396.224399250729
1413950.2307713297.6853813731652.545388626859
1511179.1333312314.2509450973-1135.11761509725
1611801.87512145.7187717691-343.843771769142
1711188.8235311640.2620123761-451.438482376064
1816456.2727314445.22086120352011.0518687965
1911110.062511827.5196349476-717.457134947606
2016530.6923114515.54281818232015.14949181768
2110038.4117611700.5622677962-1662.15050779617
2211681.2511359.7167191115321.533280888521
2311148.8823511398.3986075122-249.516257512174
2486319741.50896937573-1110.50896937573
259386.4444449752.91978987123-366.475345871229
269764.73684210596.3792294913-831.642387491307
2712043.7512002.884010465340.8659895347464
2812948.0666711935.66962333491012.39704666515
2910987.12510944.775638237542.3493617625198
3011648.312511037.8088995681610.50360043186
3110633.3529410528.7404678959104.612472104067
3210219.39981.91218384338237.387816156622
339037.69674.2866595068-636.686659506803
3410296.3157910266.397885213829.9179047862289
3511705.4117611026.0579487401679.353811259897
3610681.9444410756.3260118887-74.381571888684
379362.9473688178.48566279741184.46170520259
3811306.3529411465.1550593118-158.802119311781
3910984.4510466.9304607794517.519539220574
4010062.6190510041.482966937421.1360830626299
418118.5833338725.0204340908-606.437101090796
428867.488377.01076779927490.469232200726
438346.727054.46509546251292.25490453750
448529.3076928691.89757786712-162.589885867121
4510697.181829556.366974694481140.81484530552
468591.847777.75818495923814.081815040767
478695.6071437287.637361307831407.96978169217
488125.5714296909.554301560251216.01712743975
497009.7586215759.150868569591250.60775243041
507883.4666676947.95858967888935.508077321123
517527.6451616530.19444303045997.45071796955
526763.7586217830.64029624576-1066.88167524576
536682.3333337366.9320435763-684.598710576306
547855.6818189736.70146230559-1881.01964430559
556738.887495.90727783304-757.027277833038
567895.4347839391.75467599805-1496.31989299805
576361.8846156913.87904919916-551.994434199156
586935.9565227889.495332914-953.538810914
598344.4545459270.75296522584-926.298420225837
609107.9444449499.11081297045-391.16636897045


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.03965579730456220.07931159460912430.960344202695438
190.01497346506551890.02994693013103780.985026534934481
200.007917292104785490.01583458420957100.992082707895215
210.02777243679353910.05554487358707820.97222756320646
220.03815545989378140.07631091978756270.961844540106219
230.01925927554847150.0385185510969430.980740724451528
240.1606729051717150.3213458103434300.839327094828285
250.1600487329258690.3200974658517380.83995126707413
260.2380793513404660.4761587026809320.761920648659534
270.1920112465097300.3840224930194610.80798875349027
280.2441460677463560.4882921354927110.755853932253644
290.4304896815060370.8609793630120740.569510318493963
300.3599622589821550.719924517964310.640037741017845
310.2686881130287610.5373762260575210.73131188697124
320.2083101069521110.4166202139042220.791689893047889
330.4483816372759940.8967632745519870.551618362724006
340.3859004106050910.7718008212101820.614099589394909
350.2909946103204890.5819892206409770.709005389679511
360.4645000394249540.9290000788499080.535499960575046
370.4651502174984430.9303004349968860.534849782501557
380.5907768659125170.8184462681749660.409223134087483
390.6908645912062610.6182708175874780.309135408793739
400.5639641215677260.8720717568645490.436035878432274
410.9429043121171550.1141913757656890.0570956878828446
420.9199986201218160.1600027597563680.0800013798781842


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.12NOK
10% type I error level60.24NOK