Multiple Linear Regression - Estimated Regression Equation
Nettoschuld[t] = + 298294.469041642 -1.95030151290886Fiscale_en_parafiscale_ontvangsten[t] + 0.73016016571353`Niet-fiscale_en_niet-parafiscale_ontvangsten`[t] -4.03551319728063Lopende_uitgaven_exclusief_rentelasten[t] + 4.00579626869047Rentelasten[t] + 0.738416486158941Kapitaaluitgaven[t] -11369.5789100911Q1[t] + 1758.11058024843Q2[t] -14910.9267657763Q3[t] + 2519.67782924212t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)298294.46904164245829.5306166.508800
Fiscale_en_parafiscale_ontvangsten-1.950301512908860.960864-2.02970.0464180.023209
`Niet-fiscale_en_niet-parafiscale_ontvangsten`0.730160165713532.2702740.32160.7487590.374379
Lopende_uitgaven_exclusief_rentelasten-4.035513197280630.935233-4.3155.5e-052.7e-05
Rentelasten4.005796268690477.5315160.53190.5966010.298301
Kapitaaluitgaven0.7384164861589411.3243640.55760.5790290.289515
Q1-11369.57891009117243.332733-1.56970.1212760.060638
Q21758.110580248433439.8140330.51110.6109820.305491
Q3-14910.92676577637090.795068-2.10290.0392960.019648
t2519.67782924212437.1227855.764200


Multiple Linear Regression - Regression Statistics
Multiple R0.861464592776989
R-squared0.742121244608423
Adjusted R-squared0.706955959782299
F-TEST (value)21.1038030340964
F-TEST (DF numerator)9
F-TEST (DF denominator)66
p-value3.33066907387547e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9859.0427309608
Sum Squared Residuals6415247755.68012


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1186448208823.234267209-22375.2342672094
2190530211718.577096666-21188.5770966655
3194207207844.483947061-13637.4839470611
4190855214896.253527762-24041.253527762
5200779210664.304137359-9885.30413735928
6204428216395.388885442-11967.3888854415
7207617213668.938277781-6051.93827778149
8212071221515.157439769-9444.15743976935
9214239216910.880265923-2671.88026592262
10215883221888.735528788-6005.73552878836
11223484218674.8287256304809.17127437049
12221529222212.841860719-683.841860718597
13225247221786.4777558213460.52224417879
14226699223773.2064174902925.79358250970
15231406220342.70519699311063.2948030074
16232324223380.1462189048943.8537810962
17237192225544.64519378811647.3548062119
18236727227170.3556670989556.6443329019
19240698227161.51777459713536.4822254026
20240688230003.29696932010684.7030306803
21245283230024.93971476315258.0602852367
22243556230996.43448616212559.5655138384
23247826231918.39406905315907.6059309471
24245798235386.80475246510411.1952475353
25250479233759.79796541516719.2020345849
26249216236086.36099847813129.6390015217
27251896236991.65430220614904.3456977944
28247616239101.2461631638514.75383683748
29249994237260.89878884412733.1012111557
30246552240340.2942640836211.70573591669
31248771242982.3860287095788.61397129056
32247551243312.3878437674238.61215623313
33249745243795.1289675645949.87103243581
34245742244211.2530174901530.74698251036
35249019246650.265092912368.73490708996
36245841245179.961921947661.038078053122
37248771245396.145711783374.85428822007
38244723248295.994016682-3572.9940166815
39246878253083.675074333-6205.67507433331
40246014249913.896772608-3899.89677260799
41248496252352.763666955-3856.76366695481
42244351250399.090535314-6048.09053531363
43248016254881.26920228-6865.26920227976
44246509250370.048849400-3861.04884939954
45249426252720.140499244-3294.1404992438
46247840248645.745920033-805.745920033213
47251035251959.481361750-924.481361749696
48250161251728.777814715-1567.77781471523
49254278255563.891302993-1285.89130299264
50250801249325.685452991475.31454701018
51253985256002.933440916-2017.93344091640
52249174248037.8556766531136.14432334709
53251287253947.961753821-2660.9617538212
54247947251702.272309612-3755.27230961240
55249992259005.241509730-9013.24150973048
56243805252649.244224262-8844.24422426233
57255812262353.338161668-6541.33816166754
58250417248578.6056101021838.39438989784
59253033257430.555567759-4397.55556775866
60248705253558.733106178-4853.73310617796
61253950257565.673511725-3615.67351172509
62251484255770.446380281-4286.4463802807
63251093259985.783108545-8892.78310854484
64245996251503.147938196-5507.14793819644
65252721261760.816592643-9039.81659264323
66248019253684.635832678-5665.63583267816
67250464262783.255799995-12319.2557999952
68245571252929.597241125-7358.5972411249
69252690260916.210230392-8226.21023039204
70250183249830.105732772352.894267227925
71253639259571.680491802-5932.68049180247
72254436248197.5036979466238.49630205385
73265280260969.7515120924310.24848790783
74268705254989.8118478413715.1881521603
75270643262762.9510279497880.04897205093
76271480252247.09798110219232.9020188979


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.1325498742059910.2650997484119820.867450125794009
140.08143397663540180.1628679532708040.918566023364598
150.04988052278468760.09976104556937520.950119477215312
160.06416912401982550.1283382480396510.935830875980175
170.03836368205094730.07672736410189470.961636317949053
180.03358988043950.0671797608790.9664101195605
190.03760165974643030.07520331949286070.96239834025357
200.04147404026052660.08294808052105320.958525959739473
210.03517103053576130.07034206107152260.964828969464239
220.04202991580147620.08405983160295230.957970084198524
230.04000834476619420.08001668953238830.959991655233806
240.06358778668445050.1271755733689010.936412213315549
250.1062234076503560.2124468153007120.893776592349644
260.07978188582280040.1595637716456010.9202181141772
270.1577507816948620.3155015633897230.842249218305138
280.7083476056066980.5833047887866040.291652394393302
290.9923239222410380.01535215551792410.00767607775896203
300.9963694318606740.007261136278652810.00363056813932641
310.999313690986190.001372618027622090.000686309013811044
320.999702029636780.000595940726438540.00029797036321927
330.9999810938355143.78123289709924e-051.89061644854962e-05
340.9999925560536921.48878926150279e-057.44394630751396e-06
350.999997043395895.91320821968562e-062.95660410984281e-06
360.999999529739879.40520261433662e-074.70260130716831e-07
370.999999843437993.13124021191439e-071.56562010595719e-07
380.9999999175738431.64852314140184e-078.2426157070092e-08
390.999999902878631.94242741137966e-079.71213705689832e-08
400.999999907828661.84342679378059e-079.21713396890297e-08
410.9999999603169437.93661146713693e-083.96830573356847e-08
420.9999999199123041.60175391929061e-078.00876959645304e-08
430.9999998488414343.02317132184845e-071.51158566092423e-07
440.9999995753005658.49398869843723e-074.24699434921862e-07
450.9999997628154164.74369168423505e-072.37184584211753e-07
460.9999994967750161.00644996880398e-065.0322498440199e-07
470.999998757829972.48434006125817e-061.24217003062908e-06
480.9999965258067126.948386575673e-063.4741932878365e-06
490.999999929543921.40912160476381e-077.04560802381907e-08
500.9999998142106253.71578750447092e-071.85789375223546e-07
510.9999994171835931.16563281372596e-065.8281640686298e-07
520.999997862199094.27560181867091e-062.13780090933545e-06
530.9999998081048573.8379028621007e-071.91895143105035e-07
540.9999993910274841.2179450329388e-066.089725164694e-07
550.9999999458665651.08266870649372e-075.4133435324686e-08
560.9999996489909947.02018011171852e-073.51009005585926e-07
570.9999985902601822.81947963542467e-061.40973981771234e-06
580.99999671339746.57320520149258e-063.28660260074629e-06
590.9999785722878024.28554243963222e-052.14277121981611e-05
600.9999146243153260.0001707513693489238.53756846744616e-05
610.9995085760950220.0009828478099553320.000491423904977666
620.9976502533945670.004699493210865920.00234974660543296
630.996427205372610.007145589254781530.00357279462739076


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level340.666666666666667NOK
5% type I error level350.686274509803922NOK
10% type I error level430.843137254901961NOK