Multiple Linear Regression - Estimated Regression Equation
BEL_20[t] = + 131.464612932303 + 0.070054324911192Nikkei[t] + 0.106968905140376DJ_Indust[t] -0.0267508881683204Goudprijs[t] -17.0480085003543Conjunct_Seizoenzuiver[t] + 4.47598215700542Cons_vertrouw[t] + 0.150200966608876Alg_consumptie_index_BE[t] + 58.6738632349272Gem_rente_kasbon_1j[t] + 43.1906593467027t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)131.464612932303438.795140.29960.7659570.382979
Nikkei0.0700543249111920.0241752.89780.0059490.002974
DJ_Indust0.1069689051403760.0393942.71540.0095680.004784
Goudprijs-0.02675088816832040.028804-0.92870.358340.17917
Conjunct_Seizoenzuiver-17.04800850035433.711154-4.59373.9e-052e-05
Cons_vertrouw4.475982157005424.0420541.10740.2744430.137222
Alg_consumptie_index_BE0.15020096660887632.4003390.00460.9963230.498162
Gem_rente_kasbon_1j58.673863234927258.1282121.00940.3185690.159285
t43.19065934670273.56290912.122300


Multiple Linear Regression - Regression Statistics
Multiple R0.996362636253447
R-squared0.992738502921919
Adjusted R-squared0.991355360621332
F-TEST (value)717.74140845862
F-TEST (DF numerator)8
F-TEST (DF denominator)42
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation77.9600135000791
Sum Squared Residuals255266.075607166


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11635.251622.2571552669712.992844733028
21833.421750.6294539514882.7905460485205
31910.431800.92172596382109.508274036181
41959.671980.82453903473-21.1545390347251
51969.62040.84841939081-71.2484193908069
62061.412067.91625432756-6.50625432755852
72093.482145.66676577656-52.1867657765631
82120.882167.00763458898-46.1276345889771
92174.562169.842350322784.71764967721542
102196.722245.75237894843-49.0323789484268
112350.442397.34896878969-46.908968789691
122440.252420.3305345530719.9194654469274
132408.642450.07395613777-41.4339561377728
142472.812493.62059276989-20.8105927698915
152407.62429.45111119588-21.8511111958771
162454.622571.48107248847-116.861072488466
172448.052512.32211804711-64.2721180471125
182497.842558.07976706361-60.2397670636074
192645.642616.0427273769729.5972726230341
202756.762621.20317088031135.556829119687
212849.272731.60032973916117.669670260836
222921.442852.2787960834769.1612039165264
232981.852885.4203240246196.4296759753884
243080.583003.3128277421477.2671722578587
253106.223073.3907619889432.8292380110606
263119.313074.4927553760044.8172446239966
273061.263093.79905614672-32.5390561467211
283097.313141.15591343433-43.8459134343331
293161.693220.67912274439-58.9891227443882
303257.163289.27980872461-32.1198087246116
313277.013288.56416487016-11.5541648701549
323295.323317.20504089242-21.8850408924247
333363.993446.9833116505-82.9933116505012
343494.173588.8396434921-94.6696434921018
353667.033662.851556329984.17844367001622
363813.063679.83356561616133.226434383839
373917.963735.12558755312182.834412446877
383895.513809.309308419186.2006915808982
393801.063780.3740795641720.6859204358347
403570.123744.55683472340-174.436834723404
413701.613753.65929445522-52.0492944552206
423862.273893.07540824314-30.8054082431406
433970.14016.00908258280-45.9090825828049
444138.524145.6712627359-7.15126273589644
454199.754180.7651721224118.9848278775903
464290.894241.9707931968448.9192068031583
474443.914387.7697338560756.1402661439248
484502.644492.5263360242610.1136639757393
494356.984477.92904891401-120.949048914012
504591.274568.7048623858922.5651376141057
514696.964685.5355194930511.4244805069465


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.1032355381676880.2064710763353760.896764461832312
130.07220870938671360.1444174187734270.927791290613286
140.04493255269850040.08986510539700070.9550674473015
150.02652611154899440.05305222309798890.973473888451006
160.05880920577651980.1176184115530400.94119079422348
170.04519404620356270.09038809240712540.954805953796437
180.06299778447582740.1259955689516550.937002215524173
190.1485451888972470.2970903777944940.851454811102753
200.458776062749510.917552125499020.54122393725049
210.3694273661613810.7388547323227630.630572633838619
220.3469813920264070.6939627840528150.653018607973593
230.3021518981954950.6043037963909890.697848101804505
240.2310840019248390.4621680038496780.768915998075161
250.1638554264025070.3277108528050140.836144573597493
260.3958655317882720.7917310635765440.604134468211728
270.715229656814890.5695406863702190.284770343185109
280.7388713172647280.5222573654705450.261128682735272
290.674450746321770.6510985073564590.325549253678229
300.6579175822175890.6841648355648220.342082417782411
310.8468972866787380.3062054266425240.153102713321262
320.8621365455823640.2757269088352730.137863454417637
330.7887675722595730.4224648554808530.211232427740427
340.7291045628318270.5417908743363450.270895437168173
350.7710559084384490.4578881831231020.228944091561551
360.8305455142951950.3389089714096110.169454485704805
370.8721345300009920.2557309399980170.127865469999008
380.8361304979141840.3277390041716330.163869502085816
390.7383592843772870.5232814312454270.261640715622713


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level30.107142857142857NOK