Multiple Linear Regression - Estimated Regression Equation
Inschrijvingen[t] = + 15770.76 + 2663.05000000000Dummy[t] + 1405.98999999999M1[t] + 3737.39M2[t] + 182.000000000005M3[t] -6277.4M4[t] + 12066M5[t] + 9268.6M6[t] + 12510.4M7[t] + 9625.8M8[t] + 6215.4M9[t] + 7320.2M10[t] + 1254.40000000000M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)15770.76910.03533817.329800
Dummy2663.05000000000608.0429374.37976.6e-053.3e-05
M11405.989999999991094.4772861.28460.205220.10261
M23737.391094.4772863.41480.0013250.000662
M3182.0000000000051087.7002720.16730.8678320.433916
M4-6277.41087.700272-5.77131e-060
M5120661087.70027211.093100
M69268.61087.7002728.521300
M712510.41087.70027211.501700
M89625.81087.7002728.849700
M96215.41087.7002725.71431e-060
M107320.21087.7002726.7300
M111254.400000000001087.7002721.15330.2546360.127318


Multiple Linear Regression - Regression Statistics
Multiple R0.96379785711296
R-squared0.928906309375533
Adjusted R-squared0.910754728790563
F-TEST (value)51.1749544359064
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1719.80513480514
Sum Squared Residuals139013295.98


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12036619839.8000000001526.199999999949
22278222171.2610.799999999992
31916918615.81553.189999999995
41380712156.411650.59000000000
52974330499.81-756.810000000016
62559127702.41-2111.41000000000
72909630944.21-1848.21000000000
82648228059.61-1577.61000000000
92240524649.21-2244.21000000000
102704425754.011289.99
111797019688.21-1718.21000000000
121873018433.81296.190000000005
131968419839.8-155.799999999987
141978522171.2-2386.2
151847918615.81-136.809999999999
161069812156.41-1458.41
173195630499.811456.19000000001
182950627702.411803.59
193450630944.213561.79
202716528059.61-894.610000000002
212673624649.212086.79
222369125754.01-2063.01
231815719688.21-1531.21000000000
241732818433.81-1105.81000000000
251820519839.8-1634.79999999999
262099522171.2-1176.2
271738218615.81-1233.81000000000
28936712156.41-2789.41
293112430499.81624.190000000005
302655127702.41-1151.41
313065130944.21-293.210000000002
322585928059.61-2200.61
332510024649.21450.789999999999
342577825754.0123.9899999999998
352041819688.21729.789999999999
361868818433.81254.19
372042419839.8584.200000000012
382477622171.22604.8
391981418615.811198.19
401273812156.41581.5900
413156630499.811066.19000000001
423011127702.412408.59
433001930944.21-925.210000000003
443193428059.613874.39
452582624649.211176.79
462683525754.011080.99
472020519688.21516.789999999999
481778918433.81-644.810000000003
492052019839.8680.200000000012
502251822171.2346.800000000002
511557215952.76-380.759999999998
52115099493.362015.64
532544727836.76-2389.76
542409025039.36-949.36
552778628281.16-495.16
562619525396.56798.44
572051621986.16-1470.16
582275923090.96-331.960000000000
591902817025.162002.84
601697115770.761200.24


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.5997137180623450.800572563875310.400286281937655
170.5440760623171620.9118478753656750.455923937682838
180.6675520124254960.6648959751490070.332447987574504
190.8899951712527380.2200096574945240.110004828747262
200.8369810302844560.3260379394310880.163018969715544
210.8852705122169910.2294589755660180.114729487783009
220.8955130490557630.2089739018884740.104486950944237
230.8714857330247890.2570285339504220.128514266975211
240.8300889191380370.3398221617239270.169911080861963
250.8120166372285630.3759667255428750.187983362771437
260.7842271231815920.4315457536368160.215772876818408
270.7455984710161070.5088030579677850.254401528983893
280.865500874600450.2689982507991010.134499125399551
290.8132874304509950.373425139098010.186712569549005
300.7915255638543650.4169488722912700.208474436145635
310.7228523065532810.5542953868934380.277147693446719
320.9111025271941150.1777949456117710.0888974728058854
330.863697374430480.2726052511390390.136302625569519
340.8088555145392250.382288970921550.191144485460775
350.7792433320119650.4415133359760690.220756667988035
360.6993919966521330.6012160066957350.300608003347867
370.6057640576928870.7884718846142270.394235942307113
380.6637750430300760.6724499139398480.336224956969924
390.5696315840029960.8607368319940080.430368415997004
400.5710164339720380.8579671320559240.428983566027962
410.547241336900960.905517326198080.45275866309904
420.5939652037513870.8120695924972270.406034796248613
430.4756032772531140.9512065545062270.524396722746886
440.5717782197112480.8564435605775050.428221780288752


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