Multiple Linear Regression - Estimated Regression Equation
faillissement[t] = + 5.94989160883175 + 65.7319584895735crisis[t] + 0.0228416024126094`t-1`[t] + 0.0167861261156532`t-2`[t] + 0.0145983909933509`t-3`[t] -0.0246343658381229`t-4`[t] + 0.957064898875237`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)5.94989160883175104.8339630.05680.9549140.477457
crisis65.731958489573519.2205213.41990.0010870.000543
`t-1`0.02284160241260940.0677050.33740.7369250.368462
`t-2`0.01678612611565320.0764560.21960.8269070.413453
`t-3`0.01459839099335090.0680080.21470.8307060.415353
`t-4`-0.02463436583812290.070634-0.34880.7283960.364198
`t-12`0.9570648988752370.0760912.578100


Multiple Linear Regression - Regression Statistics
Multiple R0.887312132193456
R-squared0.787322819937696
Adjusted R-squared0.767691080239638
F-TEST (value)40.1045873695823
F-TEST (DF numerator)6
F-TEST (DF denominator)65
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation75.4432942131509
Sum Squared Residuals369959.891712583


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1627605.04512720912721.9548727908730
2696646.30101934800249.6989806519978
3825689.739352320005135.260647679995
4677627.87495925653349.1250407434673
5656636.75608912535219.2439108746483
6785726.8107851957858.1892148042202
7412479.057834086383-67.057834086383
8352343.9676905437988.03230945620166
9839784.72872635450654.2712736454936
10729708.70012931997620.299870680024
11696596.342544819499.6574551806004
12641730.576472880393-89.5764728803927
13695622.3281882225572.6718117774498
14638690.903909178274-52.9039091782744
15762813.97978317393-51.9797831739303
16635676.352930885704-41.3529308857043
17721653.27280009938467.7271999006157
18854779.78107118103574.2189288189652
19418422.368746847312-4.36874684731188
20367361.6024951231525.39750487684838
21824819.0324587059614.96754129403881
22687713.696570570778-26.6965705707779
23601696.651454576982-95.6514545769819
24676647.67662539522128.3233746047794
25740686.36975851537253.6302414846283
26691636.65732778695954.3426722130412
27683758.501883587252-75.501883587252
28594635.036108016844-41.0361080168443
29729712.88457712415316.1154228758469
30731842.85415657409-111.85415657409
31386426.783489023222-40.7834890232219
32331374.289639944161-43.2896399441611
33706801.32435448139-95.3243544813906
34715672.76311367946842.2368863205315
35657604.651848800852.3481511992003
36653682.087265155155-29.0872651551553
37642733.167955288456-91.1679552884562
38643684.884957142411-41.8849571424108
39718678.43703182118739.5629681788129
40654594.92611729077859.073882709222
41632724.212551958415-92.2125519584147
42731725.6200993903495.3799006096509
43392460.274817170836-68.2748171708362
44344402.810205812059-58.8102058120594
45792756.90984597804235.090154021958
46852767.56307713049784.4369228695033
47649728.594320891745-79.594320891745
48629728.858912298675-99.8589122986746
49685704.306490325439-19.3064903254392
50617701.76542711517-84.7654271151699
51715777.640897074504-62.6408970745037
52715718.79596121945-3.79596121944998
53629697.013358729046-68.013358729046
54916792.90418510455123.095814895449
55531471.15694958018259.8430504198177
56357419.985974075080-62.9859740750805
57917844.62224507403672.3777549259636
58828899.226206885507-71.2262068855068
59708719.253471238712-11.2534712387115
60858708.33869435951149.661305640490
61775748.2517322567826.7482677432203
62785684.234036690756100.765963309244
631006782.007446886633223.992553113367
64789782.316480952816.68351904719002
65734700.9526420720633.0473579279396
66906973.711291300612-67.7112913006124
67532599.634778216472-67.6347782164718
68387431.992686083995-44.9926860839954
69991962.22479930899828.7752006910016
70841878.711453723878-37.7114537238784
71892777.672731800235114.327268199765
72782932.268880643728-150.268880643728


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.235490103180570.470980206361140.76450989681943
110.1497650823808140.2995301647616290.850234917619186
120.5111683226326090.9776633547347810.488831677367391
130.3949280646263300.7898561292526610.60507193537367
140.4624646517967480.9249293035934970.537535348203252
150.5949039798718830.8101920402562350.405096020128117
160.5190516270169960.9618967459660080.480948372983004
170.4486084592176920.8972169184353850.551391540782308
180.4306358162369710.8612716324739420.569364183763029
190.3390102632947100.6780205265894210.66098973670529
200.2607694311055650.5215388622111290.739230568894435
210.1982224549890680.3964449099781350.801777545010932
220.1672928348763660.3345856697527330.832707165123634
230.2649590768230140.5299181536460280.735040923176986
240.2114064366500230.4228128733000450.788593563349977
250.1748870042615310.3497740085230630.825112995738469
260.1493791763672400.2987583527344810.85062082363276
270.1588412096522450.317682419304490.841158790347755
280.1306329625790480.2612659251580960.869367037420952
290.09639299026429120.1927859805285820.90360700973571
300.1350219341065250.2700438682130490.864978065893475
310.1097374491925890.2194748983851790.89026255080741
320.0924409058607790.1848818117215580.907559094139221
330.1092621256349110.2185242512698220.89073787436509
340.08895839664662690.1779167932932540.911041603353373
350.07607016242569220.1521403248513840.923929837574308
360.05364732139275740.1072946427855150.946352678607243
370.05835276747658690.1167055349531740.941647232523413
380.04392097931822640.08784195863645280.956079020681774
390.03264859404702170.06529718809404340.967351405952978
400.03015756269726800.06031512539453600.969842437302732
410.03045632812788790.06091265625577570.969543671872112
420.01967437464596590.03934874929193170.980325625354034
430.01339530539000370.02679061078000730.986604694609996
440.009432643938374050.01886528787674810.990567356061626
450.008247791485766170.01649558297153230.991752208514234
460.01016940112726990.02033880225453990.98983059887273
470.008357843773672020.01671568754734400.991642156226328
480.01114611573042070.02229223146084140.98885388426958
490.006812094088168540.01362418817633710.993187905911831
500.005606095651121670.01121219130224330.994393904348878
510.00442700839716490.00885401679432980.995572991602835
520.002616752446333820.005233504892667640.997383247553666
530.002268303666415990.004536607332831980.997731696333584
540.005657941660366620.01131588332073320.994342058339633
550.004129869632243660.008259739264487320.995870130367756
560.004736961982885550.00947392396577110.995263038017114
570.003211094789056410.006422189578112820.996788905210944
580.002030678327999880.004061356655999770.997969321672
590.001837277571012660.003674555142025320.998162722428987
600.007205381032580910.01441076206516180.99279461896742
610.003418066593336260.006836133186672520.996581933406664
620.002364767664556430.004729535329112860.997635232335444


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level100.188679245283019NOK
5% type I error level210.39622641509434NOK
10% type I error level250.471698113207547NOK