Multiple Linear Regression - Estimated Regression Equation
Faillissementen[t] = + 57.275 -6.40535714285716M1[t] -5.23214285714285M2[t] + 7.44107142857144M3[t] -6.88571428571428M4[t] -7.37916666666667M5[t] + 2.62738095238096M6[t] -18.1994047619048M7[t] -26.6928571428571M8[t] + 0.647023809523812M9[t] + 6.8202380952381M10[t] -7.67321428571428M11[t] -0.00654761904761901t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)57.2753.8612514.833300
M1-6.405357142857164.727887-1.35480.1806450.090323
M2-5.232142857142854.723019-1.10780.2724460.136223
M37.441071428571444.7186091.5770.1201510.060076
M4-6.885714285714284.71466-1.46050.149460.07473
M5-7.379166666666674.711173-1.56630.1226240.061312
M62.627380952380964.7081490.5580.5789220.289461
M7-18.19940476190484.705588-3.86760.0002770.000138
M8-26.69285714285714.703492-5.675100
M90.6470238095238124.7018610.13760.8910170.445509
M106.82023809523814.7006961.45090.1521040.076052
M11-7.673214285714284.699997-1.63260.1078790.05394
t-0.006547619047619010.046811-0.13990.8892360.444618


Multiple Linear Regression - Regression Statistics
Multiple R0.788766683784605
R-squared0.622152881448563
Adjusted R-squared0.54530262004827
F-TEST (value)8.09565081643555
F-TEST (DF numerator)12
F-TEST (DF denominator)59
p-value1.05415345341697e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation8.14022956487382
Sum Squared Residuals3909.5369047619


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14650.8630952380953-4.8630952380953
26252.02976190476199.97023809523812
36664.69642857142861.30357142857142
45950.36309523809538.63690476190474
55849.86309523809538.13690476190475
66159.86309523809521.13690476190478
74139.02976190476191.97023809523810
82730.5297619047619-3.52976190476191
95857.86309523809520.136904761904763
107064.02976190476195.9702380952381
114949.5297619047619-0.529761904761905
125957.19642857142861.80357142857143
134450.7845238095238-6.7845238095238
143651.9511904761905-15.9511904761905
157264.61785714285717.38214285714286
164550.2845238095238-5.2845238095238
175649.78452380952386.21547619047619
185459.7845238095238-5.78452380952381
195338.951190476190514.0488095238095
203530.45119047619054.54880952380952
216157.78452380952383.21547619047619
225263.9511904761905-11.9511904761905
234749.4511904761905-2.45119047619047
245157.1178571428571-6.11785714285714
255250.70595238095241.29404761904763
266351.872619047619111.1273809523809
277464.53928571428579.46071428571428
284550.2059523809524-5.20595238095237
295149.70595238095241.29404761904762
306459.70595238095244.29404761904762
313638.8726190476191-2.87261904761905
323030.3726190476190-0.372619047619048
335557.7059523809524-2.70595238095238
346463.8726190476190.127380952380954
353949.3726190476191-10.3726190476191
364057.0392857142857-17.0392857142857
376350.627380952381012.3726190476190
384551.7940476190476-6.79404761904762
395964.4607142857143-5.46071428571429
405550.12738095238094.87261904761905
414049.6273809523809-9.62738095238095
426459.6273809523814.37261904761904
432738.7940476190476-11.7940476190476
442830.2940476190476-2.29404761904762
454557.627380952381-12.6273809523810
465763.7940476190476-6.79404761904762
474549.2940476190476-4.29404761904762
486956.960714285714312.0392857142857
496050.54880952380959.45119047619048
505651.71547619047624.28452380952381
515864.3821428571429-6.38214285714286
525050.0488095238095-0.0488095238095161
535149.54880952380951.45119047619048
545359.5488095238095-6.54880952380953
553738.7154761904762-1.71547619047619
562230.2154761904762-8.21547619047619
575557.5488095238095-2.54880952380953
587063.71547619047626.2845238095238
596249.215476190476212.7845238095238
605856.88214285714291.11785714285715
613950.4702380952381-11.4702380952381
624951.6369047619048-2.63690476190476
635864.3035714285714-6.30357142857143
644749.9702380952381-2.97023809523809
654249.4702380952381-7.47023809523809
666259.47023809523812.5297619047619
673938.63690476190480.363095238095237
684030.13690476190489.86309523809524
697257.470238095238114.5297619047619
707063.63690476190486.36309523809523
715449.13690476190484.86309523809524
726556.80357142857148.19642857142857


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.7329087278438190.5341825443123630.267091272156181
170.6310039334776880.7379921330446240.368996066522312
180.4881257975639820.9762515951279640.511874202436018
190.6739631185558370.6520737628883260.326036881444163
200.6594906858549530.6810186282900950.340509314145047
210.580967796926890.838064406146220.41903220307311
220.6255900251010470.7488199497979070.374409974898953
230.5243139720519330.9513720558961350.475686027948067
240.4365304533926340.8730609067852680.563469546607366
250.4399274969851490.8798549939702980.560072503014851
260.5717876505431350.856424698913730.428212349456865
270.6017402665544530.7965194668910930.398259733445547
280.5397977379899770.9204045240200470.460202262010023
290.5022962566349340.9954074867301320.497703743365066
300.4739264919196320.9478529838392640.526073508080368
310.4591391913570330.9182783827140650.540860808642967
320.3856932438945810.7713864877891620.614306756105419
330.3147589261478070.6295178522956140.685241073852193
340.2583968658005580.5167937316011160.741603134199442
350.2372099285005330.4744198570010650.762790071499468
360.3830478702569180.7660957405138350.616952129743082
370.5895073130619280.8209853738761430.410492686938072
380.5349819342004940.9300361315990120.465018065799506
390.495963544332660.991927088665320.50403645566734
400.4947137583463480.9894275166926960.505286241653652
410.4704115907675850.940823181535170.529588409232415
420.4734221786196430.9468443572392850.526577821380357
430.4671316345588490.9342632691176970.532868365441151
440.3815385409370470.7630770818740940.618461459062953
450.4427945610693220.8855891221386440.557205438930678
460.4268610644537270.8537221289074550.573138935546273
470.4537989572188360.9075979144376710.546201042781164
480.5334265151803710.9331469696392580.466573484819629
490.7735477238462880.4529045523074240.226452276153712
500.7575965852621140.4848068294757710.242403414737886
510.6783173741673580.6433652516652840.321682625832642
520.6060062918619580.7879874162760850.393993708138043
530.675799279340540.6484014413189180.324200720659459
540.5542290594791040.8915418810417930.445770940520896
550.4237492580287620.8474985160575240.576250741971238
560.4416135756891060.8832271513782120.558386424310894


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