Multiple Linear Regression - Estimated Regression Equation
faillissement[t] = + 179.312954050889 + 44.3969724913641crisis[t] -0.0454083334947606`t-1`[t] -0.0256592317941664`t-2`[t] -0.0949712023846764`t-3`[t] -0.0338903746825824`t-4`[t] + 0.92150086492774`t-12`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)179.312954050889160.6711331.1160.268520.13426
crisis44.396972491364129.4578471.50710.1366210.06831
`t-1`-0.04540833349476060.103766-0.43760.6631250.331563
`t-2`-0.02565923179416640.117178-0.2190.8273540.413677
`t-3`-0.09497120238467640.104231-0.91120.3655750.182788
`t-4`-0.03389037468258240.108255-0.31310.7552380.377619
`t-12`0.921500864927740.1166177.90200


Multiple Linear Regression - Regression Statistics
Multiple R0.763216614162312
R-squared0.582499600133384
Adjusted R-squared0.543961101684158
F-TEST (value)15.1147456069369
F-TEST (DF numerator)6
F-TEST (DF denominator)65
p-value9.60155288609599e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation115.626264491174
Sum Squared Residuals869013.147611892


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1627595.7877207263431.2122792736601
2696651.65984827087344.3401517291266
3825679.623041679433145.376958320567
4677617.68972073328359.3102792667165
5656624.28497262322331.7150273767775
6785703.83197686941981.1680231305815
7412472.292803913649-60.2928039136494
8352365.76312274882-13.7631227488197
9839795.93833203476843.0616679652324
10729731.774857626753-2.77485762675332
11696620.9749961566475.02500384336
12641704.55954947926-63.5595494792602
13695612.46039836458582.5396016354146
14638681.86515667834-43.86515667834
15762808.283243242017-46.2832432420173
16635664.468583770398-29.4685837703984
17721651.28545752134169.7145424786591
18854759.66799711553794.3320028844635
19418415.5611084506012.43889154939859
20367372.792966309634-5.79296630963431
21824819.521395460074.4786045399307
22687735.61333713935-48.6133371393502
23601719.318216038807-118.318216038807
24676634.38266952314641.6173304768536
25740680.46793864819659.5320613518039
26691635.92231835568455.0776816443163
27683746.562975156992-63.5629751569915
28594622.532999283228-28.5329992832278
29729708.51329413956420.4867058604357
30731829.646853761366-98.6468537613659
31386433.041223703366-47.0412237033658
32331391.854367208974-60.8543672089737
33706819.565012805232-113.565012805232
34715710.3998110716244.6001889283759
35657638.03544516022118.9645548397787
36653675.800529999639-22.8005299996388
37642722.882822805624-80.8828228056244
38643683.534725385952-40.5347253859522
39718678.745088223939.2549117761002
40654594.48047172639159.5195282736086
41632720.142602369862-88.1426023698623
42731717.47004771789613.5299522821041
43392443.554678744105-51.5546787441054
44344409.983642712329-65.9836427123293
45792757.76798585313734.2320141468632
46852775.79029387278376.2097061272167
47649724.170862585362-75.1708625853621
48629687.242836233866-58.2428362338664
49685662.34215744289522.6578425571052
50617678.479707871134-61.4797078711336
51715758.022292546142-43.0222925461423
52715691.70046843039323.2995315696065
53629673.473025466088-44.4730254660883
54916761.604095419201154.395904580799
55531435.06854771110695.9314522888938
56357409.122038470214-52.1220384702138
57917815.392117364984101.607882635016
58828876.555584219967-48.5555842199668
59708708.735863983664-0.735863983663852
60858650.751570193512207.248429806488
61775688.09730361054186.902696389459
62785639.768039339306145.231960660694
631.006721.571921610401-720.565921610401
64789714.07914118565874.9208588143419
65734640.87617401853293.1238259814677
66906892.084894420513.9151055794995
67532544.027063923525-12.0270639235247
68387408.832869721819-21.8328697218192
69991926.5830389264964.4169610735098
70841850.553502373705-9.55350237370484
71892757.732297079978134.267702920022
72782845.04198466866-63.0419846686606


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.07350324137889970.1470064827577990.9264967586211
110.03001348812510020.06002697625020050.9699865118749
120.1161642910696730.2323285821393460.883835708930327
130.05944054798735650.1188810959747130.940559452012643
140.0617814181680860.1235628363361720.938218581831914
150.08363758224390050.1672751644878010.9163624177561
160.05170780276052550.1034156055210510.948292197239474
170.03029781614328750.06059563228657510.969702183856712
180.02227477303357270.04454954606714550.977725226966427
190.01139487588641850.02278975177283710.988605124113581
200.005624393093610930.01124878618722190.99437560690639
210.002773232345558570.005546464691117140.997226767654441
220.001679824233168160.003359648466336320.998320175766832
230.003149183809380550.006298367618761090.99685081619062
240.001673360660157820.003346721320315640.998326639339842
250.0008900829997823870.001780165999564770.999109917000218
260.0004938549722320760.0009877099444641520.999506145027768
270.0004362225721607190.0008724451443214370.99956377742784
280.0002475878133533950.000495175626706790.999752412186647
290.0001121234129270190.0002242468258540370.999887876587073
300.0001468576026314420.0002937152052628850.999853142397369
318.10546365716003e-050.0001621092731432010.999918945363428
324.88671675022848e-059.77343350045696e-050.999951132832498
335.13410388845333e-050.0001026820777690670.999948658961116
342.59982105363725e-055.1996421072745e-050.999974001789464
351.32282700189324e-052.64565400378648e-050.999986771729981
365.5881533832024e-061.11763067664048e-050.999994411846617
374.56830539755925e-069.1366107951185e-060.999995431694602
382.12282296752964e-064.24564593505928e-060.999997877177032
399.54186569136833e-071.90837313827367e-060.99999904581343
405.11358073745533e-071.02271614749107e-060.999999488641926
413.85524200773394e-077.71048401546788e-070.9999996144758
421.41904558297529e-072.83809116595058e-070.999999858095442
435.13892606234756e-081.02778521246951e-070.99999994861074
442.08468776397029e-084.16937552794059e-080.999999979153122
451.41998099645042e-082.83996199290084e-080.99999998580019
469.21827861699168e-091.84365572339834e-080.999999990781721
474.81727578795535e-099.6345515759107e-090.999999995182724
482.01021050551950e-094.02042101103901e-090.99999999798979
496.48708924847079e-101.29741784969416e-090.999999999351291
502.58621392567656e-105.17242785135312e-100.999999999741379
518.44509385941946e-111.68901877188389e-100.99999999991555
522.53545879979093e-115.07091759958186e-110.999999999974645
537.89397181016572e-121.57879436203314e-110.999999999992106
544.08100733455101e-118.16201466910201e-110.99999999995919
552.11987135234445e-114.23974270468889e-110.999999999978801
566.8646037482636e-121.37292074965272e-110.999999999993135
573.87204843060043e-127.74409686120087e-120.999999999996128
581.25022179468475e-122.50044358936951e-120.99999999999875
593.90589806061609e-137.81179612123219e-130.99999999999961
603.09795412917365e-116.1959082583473e-110.99999999996902
611.08243215578310e-112.16486431156619e-110.999999999989176
627.6719700408112e-121.53439400816224e-110.999999999992328


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level420.79245283018868NOK
5% type I error level450.849056603773585NOK
10% type I error level470.886792452830189NOK