Multiple Linear Regression - Estimated Regression Equation
Faillissementen[t] = -150.168524850830 + 7.83109990590287CPI[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-150.168524850830453.796083-0.33090.7416960.370848
CPI7.831099905902874.2741531.83220.0711760.035588


Multiple Linear Regression - Regression Statistics
Multiple R0.2139203175466
R-squared0.0457619022592382
Adjusted R-squared0.0321299294343702
F-TEST (value)3.35695374742512
F-TEST (DF numerator)1
F-TEST (DF denominator)70
p-value0.071175591307595
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation153.993608598224
Sum Squared Residuals1659982.20423721


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1627621.9779258711945.02207412880633
2696624.87543283637771.1245671636233
3825625.971786823203199.028213176797
4677630.12226977333246.8777302266682
5656633.17639873663422.8236012633661
6785632.784843741339152.215156258661
7412635.447417709346-223.447417709346
8352636.387149698054-284.387149698054
9839636.935326691467202.064673308533
10729640.7725656453688.2274343546403
11696639.83283365665156.1671663433487
12641637.2485706877033.75142931229665
13695639.44127866135655.5587213386438
14638644.76642659737-6.76642659737017
15762649.856641536207112.143358463793
16635651.657794514565-16.6577945145647
17721652.8324595004568.1675404995499
18854655.26010047128198.73989952872
19418660.11538241294-242.11538241294
20367660.89849240353-293.89849240353
21824661.838224392238162.161775607762
22687660.35031541011726.6496845898832
23601660.11538241294-59.1153824129397
24676659.95876041482216.0412395851783
25740660.19369341199979.8063065880012
26691663.71768836965527.2823116303449
27683663.40444437341919.5955556265810
28594667.39830532543-73.3983053254295
29729670.45243428873258.5475657112684
30731670.29581229061360.7041877093866
31386673.115008256739-287.115008256738
32331674.133051244506-343.133051244506
33707671.78372127273535.216278727265
34715670.13919029249544.8608097075046
35657672.17527626803-15.1752762680302
36653673.271630254857-20.2716302548566
37642673.663185250152-31.6631852501517
38643678.126912196516-35.1269121965163
39718678.20522319557539.7947768044246
40654681.964151150409-27.9641511504088
41632680.946108162641-48.9461081626413
42731680.86779716358250.1322028364176
43392684.391792121239-292.391792121239
44344683.373749133471-339.373749133471
45792684.156859124062107.843140875938
46852688.542275071367163.457724928633
47649696.37337497727-47.37337497727
48629698.722704949041-69.722704949041
49685702.168388907638-17.1683889076382
50617708.276646834242-91.2766468342424
51715714.5415267589650.458473241035302
52715716.49930173544-1.49930173544042
53629724.252090642284-95.2520906422842
54916729.107372583944186.892627416056
55531733.727721528427-202.727721528427
56357728.324262593354-371.324262593354
57917729.733860576416187.266139423584
58828728.16764059523699.8323594047643
59708722.92080365828-14.9208036582807
60858721.041339680864136.958660319136
61775721.90276067051353.0972393294866
62785724.87857863475660.1214213652436
631006719.866674694979286.133325305021
64789721.66782767333667.3321723266637
65734721.04133968086412.9586603191359
66906719.396808700625186.603191299375
67532718.848631707211-186.848631707211
68387721.511205675218-334.511205675218
69991719.240186702506271.759813297494
70841719.631741697802121.368258302198
71892721.902760670513170.097239329487
72782723.31235865357658.6876413464241


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.1847995335693300.3695990671386610.81520046643067
60.1195750585149620.2391501170299240.880424941485038
70.4063362374200980.8126724748401970.593663762579902
80.5129031985712930.9741936028574140.487096801428707
90.7366863781357610.5266272437284790.263313621864239
100.7054202097785910.5891595804428190.294579790221409
110.6265786018992020.7468427962015950.373421398100798
120.5282221947550990.9435556104898010.471777805244901
130.4440797595939970.8881595191879930.555920240406003
140.3525188154917640.7050376309835280.647481184508236
150.3219426114606950.6438852229213910.678057388539305
160.2478820259919310.4957640519838620.752117974008069
170.1957241451568160.3914482903136330.804275854843184
180.2245571973966250.4491143947932490.775442802603375
190.3575373107173940.7150746214347870.642462689282606
200.48660468331330.97320936662660.5133953166867
210.554049304743230.891901390513540.44595069525677
220.4879881374506970.9759762749013940.512011862549303
230.4155962370892370.8311924741784750.584403762910763
240.350490278945580.700980557891160.64950972105442
250.3169938102884690.6339876205769390.68300618971153
260.2631817019485660.5263634038971320.736818298051434
270.2133756018797390.4267512037594770.786624398120261
280.1685389939585130.3370779879170270.831461006041487
290.1425392929224340.2850785858448680.857460707077566
300.1199000347987760.2398000695975520.880099965201224
310.1939005765326630.3878011530653260.806099423467337
320.3439312107457240.6878624214914480.656068789254276
330.3029154493384450.6058308986768910.697084550661555
340.2664521025666090.5329042051332170.733547897433391
350.2153341033619620.4306682067239250.784665896638038
360.1699171094661410.3398342189322830.830082890533859
370.1302664980480770.2605329960961530.869733501951923
380.09756502043990940.1951300408798190.90243497956009
390.08062114185037190.1612422837007440.919378858149628
400.05842661408016420.1168532281603280.941573385919836
410.04079421849135220.08158843698270440.959205781508648
420.03425190153811330.06850380307622650.965748098461887
430.05525082788175860.1105016557635170.944749172118241
440.1447646839467700.2895293678935390.85523531605323
450.1367036346283560.2734072692567110.863296365371644
460.1616586290345160.3233172580690330.838341370965484
470.1237383927899340.2474767855798670.876261607210066
480.09645235278321840.1929047055664370.903547647216782
490.07402225686358260.1480445137271650.925977743136417
500.06992941091459020.1398588218291800.93007058908541
510.05645029320337490.1129005864067500.943549706796625
520.04476667811562090.08953335623124170.95523332188438
530.03454251906232660.06908503812465330.965457480937673
540.05912633653777010.1182526730755400.94087366346223
550.04697330459896180.09394660919792360.953026695401038
560.2259570217710990.4519140435421980.774042978228901
570.2417335856330530.4834671712661060.758266414366947
580.2133111198102170.4266222396204340.786688880189783
590.1594125094706470.3188250189412950.840587490529353
600.1291373305344680.2582746610689360.870862669465532
610.08797591498189070.1759518299637810.91202408501811
620.06030087533063980.1206017506612800.93969912466936
630.09109577166144570.1821915433228910.908904228338554
640.05628865386334760.1125773077266950.943711346136652
650.03034076720592270.06068153441184530.969659232794077
660.02296293251019440.04592586502038870.977037067489806
670.04308551834972560.08617103669945130.956914481650274


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0158730158730159OK
10% type I error level80.126984126984127NOK