Multiple Linear Regression - Estimated Regression Equation
uitvoer[t] = + 3885.44637298981 + 0.734871978147498invoer[t] -1001.28315575325crisis[t] + 5.8095292526758M1[t] + 674.041557200105M2[t] + 1109.77681490461M3[t] + 616.882464243724M4[t] + 892.824462099399M5[t] + 1509.74928622909M6[t] + 1257.70762915807M7[t] -437.223855464267M8[t] + 1307.69291158347M9[t] + 1476.82392699202M10[t] + 913.046867753967M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3885.44637298981829.8350864.68223.1e-051.5e-05
invoer0.7348719781474980.04418316.632500
crisis-1001.28315575325181.284847-5.52332e-061e-06
M15.8095292526758298.2983040.01950.9845560.492278
M2674.041557200105300.6284282.24210.0304270.015213
M31109.77681490461302.2108933.67220.0006880.000344
M4616.882464243724297.9807992.07020.0447710.022385
M5892.824462099399297.9639352.99640.0046210.00231
M61509.74928622909300.7035495.02071e-055e-06
M71257.70762915807298.9679744.20680.0001376.9e-05
M8-437.223855464267319.001819-1.37060.1779570.088979
M91307.69291158347314.5810724.15690.000168e-05
M101476.82392699202324.1251624.55634.6e-052.3e-05
M11913.046867753967313.5725792.91180.005790.002895


Multiple Linear Regression - Regression Statistics
Multiple R0.981837209466541
R-squared0.964004305893045
Adjusted R-squared0.952591037029864
F-TEST (value)84.4634711973627
F-TEST (DF numerator)13
F-TEST (DF denominator)41
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation439.623013186437
Sum Squared Residuals7924004.14264802


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
116198.916307.7998194182-108.899819418234
216554.216830.3802212968-276.180221296841
319554.219466.028232783788.1717672163014
415903.816209.3538595079-305.553859507887
518003.817597.8185450811405.981454918942
618329.618401.9887492427-72.3887492427348
716260.716305.7123758128-45.0123758127501
814851.914965.6505694378-113.750569437842
918174.117818.8277667298355.272233270175
1018406.618343.710306759662.8896932404287
1118466.517925.4378991947541.062100805274
1216016.515762.6677454031253.832254596878
1317428.516724.7661798191703.733820180863
1417167.216884.8342348776282.36576512243
151963019036.3485871609593.651412839141
1617183.616790.3436454313393.256354568701
1718344.718124.5012918194220.198708180631
1819301.418997.6024875313303.797512468721
1918147.518225.8593675143-78.3593675143502
2016192.915507.3981917282685.501808271822
2118374.418397.0985263341-22.69852633409
2220515.220270.3241718689244.875828131135
2318957.219155.9075394049-198.707539404895
2416471.517129.2356759662-657.735675966212
2518746.818731.481090546515.3189094534879
2619009.518558.5051651085450.994834891502
2719211.219872.4859238971-661.285923897082
2820547.720282.4552855882265.244714411791
2919325.819235.848184371889.9518156281678
3020605.520866.6023895538-261.102389553813
3120056.919957.805645612499.0943543876275
3216141.416825.5380589313-684.138058931344
3320359.820838.1962633445-478.396263344452
3419711.619376.1118633317335.488136668289
3515638.616422.6046183558-784.004618355811
3614384.514507.4863211999-122.986321199915
3713855.613965.8162267327-110.216226732704
3814308.314229.354256314378.945743685692
3915290.615508.5020833387-217.902083338696
4014423.814044.1804647646379.619535235368
4113779.713977.7456080014-198.045608001386
4215686.315759.369030297-73.0690302970484
4314733.814605.1250456543128.674954345654
4412522.512410.1131799026112.386820097364
4516189.416043.5774435916145.822556408367
4616059.116702.3536580399-643.253658039852
4716007.115565.4499430446441.650056955432
4815806.815279.9102574308526.889742569248
491516015659.9366834834-499.936683483413
5015692.116228.2261224028-536.126122402782
5118908.918711.5351728197197.364827180337
5216969.917702.466744708-732.566744707972
5316997.517515.5863707264-518.086370726354
5419858.919756.1373433751102.762656624875
5517681.217785.5975654062-104.397565406181


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.6818466548318820.6363066903362370.318153345168118
180.5367507374192350.926498525161530.463249262580765
190.4644917964066990.9289835928133980.535508203593301
200.5807073492107670.8385853015784660.419292650789233
210.532770693269620.934458613460760.46722930673038
220.5093269711409650.981346057718070.490673028859035
230.5709251195172810.8581497609654380.429074880482719
240.6090664678223950.781867064355210.390933532177605
250.5004615797014860.9990768405970280.499538420298514
260.5221427803003040.9557144393993910.477857219699696
270.6538968734395950.692206253120810.346103126560405
280.5785680879175620.8428638241648750.421431912082438
290.5134401241158430.9731197517683130.486559875884157
300.425978091405310.8519561828106210.57402190859469
310.3270827936831250.654165587366250.672917206316875
320.3717443396044740.7434886792089480.628255660395526
330.3366309611508330.6732619223016660.663369038849167
340.2975134133786280.5950268267572560.702486586621372
350.6505311792517940.6989376414964110.349468820748206
360.6093462585325530.7813074829348950.390653741467447
370.457234120176540.9144682403530810.54276587982346
380.3288391584030530.6576783168061060.671160841596947


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