Multiple Linear Regression - Estimated Regression Equation
Faillissementen[t] = -1116.53126826417 + 137.414319111631t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-1116.53126826417216.919568-5.14723e-062e-06
t137.4143191116316.28818421.852800


Multiple Linear Regression - Regression Statistics
Multiple R0.94518097525683
R-squared0.89336707598745
Adjusted R-squared0.891496322934599
F-TEST (value)477.544096280167
F-TEST (DF numerator)1
F-TEST (DF denominator)57
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation822.527174207404
Sum Squared Residuals38563404.2816482


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
167-979.1169491525421046.11694915254
2189-841.7026300409151030.70263004091
3342-704.2883109292811046.28831092928
4432-566.87399181765998.87399181765
5517-429.45967270602946.45967270602
6623-292.045353594390915.04535359439
7605-154.631034482758759.631034482758
8716-17.2167153711282733.216715371128
9677120.197603740503556.802396259497
10710257.611922852133452.388077147867
11839395.026241963764443.973758036236
12886532.440561075395353.559438924605
13891669.854880187025221.145119812975
14917807.269199298656109.730800701344
15820944.683518410286-124.683518410286
167931082.09783752192-289.097837521917
179321219.51215663355-287.512156633548
189061356.92647574518-450.926475745178
198441494.34079485681-650.340794856809
208011631.75511396844-830.75511396844
219571769.16943308007-812.16943308007
2211591906.5837521917-747.583752191701
2312642043.99807130333-779.998071303331
2410972181.41239041496-1084.41239041496
2512402318.82670952659-1078.82670952659
2614112456.24102863822-1045.24102863822
2715352593.65534774985-1058.65534774985
2818622731.06966686148-869.069666861485
2918942868.48398597312-974.483985973115
3022393005.89830508475-766.898305084746
3124653143.31262419638-678.312624196376
3224233280.72694330801-857.726943308007
3326923418.14126241964-726.141262419638
3428563555.55558153127-699.555581531268
3534503692.9699006429-242.969900642899
3641623830.38421975453331.615780245471
3742603967.79853886616292.20146113384
3842254105.21285797779119.787142022209
3940924242.62717708942-150.627177089421
4041604380.04149620105-220.041496201052
4138964517.45581531268-621.455815312683
4236284654.87013442431-1026.87013442431
4337544792.28445353594-1038.28445353594
4437494929.69877264757-1180.69877264757
4539075067.1130917592-1160.11309175920
4644495204.52741087084-755.527410870836
4752725341.94172998247-69.9417299824663
4861975479.3560490941717.643950905903
4964465616.77036820573829.229631794272
5071575754.184687317361402.81531268264
5175595891.599006428991667.40099357101
5276746029.013325540621644.98667445938
5369296166.42764465225762.57235534775
5471566303.84196376388852.15803623612
5568056441.25628287551363.743717124489
5670956578.67060198714516.329398012858
5772226716.08492109877505.915078901228
5875936853.4992402104739.500759789597
5979106990.91355932203919.086440677966


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
54.42271496312226e-058.84542992624453e-050.999955772850369
61.90762692546178e-063.81525385092355e-060.999998092373075
74.79758078960742e-069.59516157921484e-060.99999520241921
85.4329239113529e-071.08658478227058e-060.999999456707609
95.48037715144814e-071.09607543028963e-060.999999451962285
102.60316508013353e-075.20633016026707e-070.999999739683492
113.96599541294006e-087.93199082588011e-080.999999960340046
126.83266171073095e-091.36653234214619e-080.999999993167338
132.07781253226046e-094.15562506452092e-090.999999997922188
148.1061629245219e-101.62123258490438e-090.999999999189384
153.47116487799495e-096.9423297559899e-090.999999996528835
161.05528798238545e-082.11057596477090e-080.99999998944712
174.17282536463961e-098.34565072927921e-090.999999995827175
182.43155410333443e-094.86310820666886e-090.999999997568446
192.91522993851115e-095.83045987702229e-090.99999999708477
204.34579521009899e-098.69159042019798e-090.999999995654205
211.32041948983619e-092.64083897967239e-090.99999999867958
223.80887523644684e-107.61775047289368e-100.999999999619112
231.45119517810022e-102.90239035620043e-100.99999999985488
243.58390415284385e-117.1678083056877e-110.999999999964161
257.08902366188324e-121.41780473237665e-110.999999999992911
262.68794526214162e-125.37589052428323e-120.999999999997312
271.85408511608094e-123.70817023216188e-120.999999999998146
284.42458851643153e-118.84917703286306e-110.999999999955754
291.28008636165601e-102.56017272331201e-100.999999999871991
304.24486507461142e-098.48973014922283e-090.999999995755135
319.2268313608535e-081.8453662721707e-070.999999907731686
321.91178110060626e-073.82356220121252e-070.99999980882189
337.47608528771833e-071.49521705754367e-060.999999252391471
342.24543969288755e-064.4908793857751e-060.999997754560307
355.14586780493138e-050.0001029173560986280.99994854132195
360.004126506458966170.008253012917932350.995873493541034
370.03008976373215750.0601795274643150.969910236267842
380.07078728968087180.1415745793617440.929212710319128
390.08738777446508380.1747755489301680.912612225534916
400.09501766300485660.1900353260097130.904982336995143
410.06962010231642940.1392402046328590.93037989768357
420.04918456918768020.09836913837536040.95081543081232
430.03875342502529590.07750685005059190.961246574974704
440.05044117586521260.1008823517304250.949558824134787
450.1377783805131870.2755567610263740.862221619486813
460.4375411557714870.8750823115429750.562458844228513
470.7941901311395670.4116197377208670.205809868860433
480.8949429866310590.2101140267378830.105057013368941
490.948061422870450.10387715425910.05193857712955
500.9455496156636840.1089007686726310.0544503843363156
510.9577809143018640.08443817139627180.0422190856981359
520.9957927803492830.008414439301434340.00420721965071717
530.9885670535278490.02286589294430290.0114329464721515
540.9991667174604740.001666565079052570.000833282539526286


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level340.68NOK
5% type I error level350.7NOK
10% type I error level390.78NOK