Multiple Linear Regression - Estimated Regression Equation
faillissement[t] = + 778.604796059064 + 76.3933609657064crisis[t] + 0.280149255301893`t-1`[t] -0.495364240293815`t-2`[t] + 0.311554991320822`t-3`[t] -0.296255280190032`t-4`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)778.604796059064148.3170735.24961e-061e-06
crisis76.393360965706434.133322.23810.0282240.014112
`t-1`0.2801492553018930.1117322.50730.0143580.007179
`t-2`-0.4953642402938150.113207-4.37573.9e-052e-05
`t-3`0.3115549913208220.1110222.80620.0064020.003201
`t-4`-0.2962552801900320.117648-2.51810.0139590.00698


Multiple Linear Regression - Regression Statistics
Multiple R0.5331509684037
R-squared0.284249955109803
Adjusted R-squared0.235888465590195
F-TEST (value)5.87760960080759
F-TEST (DF numerator)5
F-TEST (DF denominator)74
p-value0.000125716661025455
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation136.596211836813
Sum Squared Residuals1380730.85652439


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1634634.660778084641-0.660778084641084
2731668.04835685521962.9516431447808
3475659.965554285313-184.965554285313
4337561.338236490936-224.338236490936
5803677.63793197128125.362068028719
6722768.052910145945-46.0529101459454
7590547.36784741594942.632152584051
8724736.580503801625-12.5805038016255
9627676.217668865322-49.2176688653216
10696565.53580174271130.464198257289
11825713.770497489116111.229502510884
12677645.81057713920331.1894228607972
13656590.6805569361965.3194430638098
14785677.860309685609107.139690314391
15412640.075142805728-228.075142805728
16352508.980610230607-156.980610230607
17839723.354471306463115.645528693537
18729735.082070148933-6.08207014893312
19696554.833187074269141.166812925731
20641769.580925666269-128.580925666269
21695591.972366056525103.027633943475
22638656.652225166303-18.6522251663030
23762606.574948361855155.425051638145
24635702.667227657813-67.6672276578133
25721571.906686802491149.093313197509
26854714.430151170382139.569848829618
27418632.785538818958-214.785538818958
28367509.17516938598-142.175169385979
29824726.82522588301397.174774116987
30687704.87708332981-17.8770833298102
31601553.39317514466947.6068248553309
32676754.654890432266-78.6548904322662
33740640.1957123873899.8042876126207
34691634.76619083710856.233809162892
35683638.18014439391544.8198556060846
36594657.932171556177-63.9321715561774
37729602.735269249777126.264730750223
38731696.66690490042734.3330950995727
39386604.994678985333-218.994678985333
40331575.779101190816-244.779101190816
41706691.90020220756514.0997977924345
42715716.122223595872-1.12222359587171
43657617.95452392632439.0454760736763
44653730.37475111193-77.3747511119296
45642649.693544878389-7.69354487838882
46643627.85687301292515.1431269870747
47718649.52261519719868.4773848028023
48654667.796361320777-13.7963613207770
49632616.28485403283115.7151459671692
50731664.89525086386566.104749136135
51392737.762735932138-345.762735932138
52344605.857206718812-261.857206718812
53792797.700080228867-5.70008022886674
54852812.03801534164639.9619846583536
55649692.399691409152-43.399691409152
56629759.604427726088-130.604427726088
57685740.53131735381-55.5313173538102
58617685.105980407064-68.1059804070638
59715692.22415564224122.7758443577586
60715776.735736119573-61.735736119573
61629690.414005470322-61.4140054703215
62916716.998917716721199.001082283279
63531810.97006119501-279.97006119501
64357534.149331685865-177.149331685865
65917791.012830381873125.987169618127
66828829.115854089002-1.11585408900189
67708586.626310185936121.373689814064
68858823.11503082858434.884969171416
69775730.94977682515544.0502231748449
70785622.37287356944162.62712643056
711006748.573480387772257.426519612228
72789735.2354670984253.7645329015802
73734592.672319761957141.327680238043
74906750.649251144112155.350748855888
75532693.000106233582-161.000106233582
76387550.173506698729-163.173506698729
77991764.699589467475226.300410532525
78841838.2600795657492.73992043425136
79892562.661691182553329.338308817447
80782882.390169632353-100.390169632353


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.7279854933735820.5440290132528360.272014506626418
100.7819137634699620.4361724730600770.218086236530038
110.7480894927461550.503821014507690.251910507253845
120.6560853660300440.6878292679399130.343914633969956
130.5659427829528150.868114434094370.434057217047185
140.493867074508820.987734149017640.50613292549118
150.6031832504252770.7936334991494450.396816749574723
160.5835265258428010.8329469483143990.416473474157199
170.5188134815536040.9623730368927910.481186518446396
180.425541550360360.851083100720720.57445844963964
190.4058529484673050.811705896934610.594147051532695
200.4589299645594520.9178599291189030.541070035440548
210.4562873308941520.9125746617883050.543712669105848
220.3747374254052500.7494748508104990.62526257459475
230.3946826064610050.789365212922010.605317393538995
240.3314226841349430.6628453682698860.668577315865057
250.3381294960872900.6762589921745810.66187050391271
260.3452183651469750.690436730293950.654781634853025
270.4118375768769230.8236751537538460.588162423123077
280.4230931934297940.8461863868595890.576906806570206
290.3721146188387090.7442292376774170.627885381161291
300.3070429413598250.6140858827196510.692957058640175
310.2497023533818580.4994047067637150.750297646618142
320.2172827676433860.4345655352867710.782717232356614
330.1959157907801900.3918315815603810.80408420921981
340.1588277485493350.3176554970986710.841172251450665
350.1247417437987830.2494834875975650.875258256201217
360.096441252927230.192882505854460.90355874707277
370.0923321545524090.1846643091048180.907667845447591
380.06869105700342950.1373821140068590.93130894299657
390.1037740922144170.2075481844288350.896225907785583
400.1946832080352670.3893664160705340.805316791964733
410.1521652441622640.3043304883245280.847834755837736
420.1174133125915500.2348266251831010.88258668740845
430.0878490145821020.1756980291642040.912150985417898
440.07118537100426230.1423707420085250.928814628995738
450.05088467697800460.1017693539560090.949115323021995
460.03531466521063010.07062933042126030.96468533478937
470.02551155892295950.0510231178459190.97448844107704
480.01702385864394860.03404771728789720.982976141356051
490.01110651901467150.0222130380293430.988893480985328
500.007364875672579010.0147297513451580.99263512432742
510.01670847066998560.03341694133997120.983291529330014
520.02924409760723370.05848819521446730.970755902392766
530.02957767634029050.0591553526805810.97042232365971
540.02735675959600090.05471351919200190.97264324040400
550.02133075817236450.04266151634472910.978669241827635
560.02281075069824870.04562150139649740.977189249301751
570.01736729716058620.03473459432117240.982632702839414
580.01253739286725460.02507478573450920.987462607132745
590.009234959261140890.01846991852228180.99076504073886
600.006626468590236740.01325293718047350.993373531409763
610.005020180156965070.01004036031393010.994979819843035
620.008035806176000810.01607161235200160.991964193824
630.03286162264115030.06572324528230070.96713837735885
640.08766794986764360.1753358997352870.912332050132356
650.06542826528116410.1308565305623280.934571734718836
660.04226223903757740.08452447807515480.957737760962423
670.03471371924756890.06942743849513770.965286280752431
680.02407699039272040.04815398078544080.97592300960728
690.01356777055169320.02713554110338640.986432229448307
700.009680002395217820.01936000479043560.990319997604782
710.01570662852219850.03141325704439700.984293371477801


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level160.253968253968254NOK
10% type I error level240.380952380952381NOK