Multiple Linear Regression - Estimated Regression Equation
BEL_20[t] = + 961.213187415473 + 0.0452365407202592Nikkei[t] + 0.249168737014703DJ_Indust[t] -0.177843191456367Goudprijs[t] -51.3749707456488Conjunct_Seizoenzuiver[t] + 29.9047276015519Cons_vertrouw[t] -105.787821541009Alg_consumptie_index_BE[t] + 127.079892680716Gem_rente_kasbon_1j[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)961.213187415473756.2824011.2710.2105720.105286
Nikkei0.04523654072025920.0237431.90530.0634440.031722
DJ_Indust0.2491687370147030.0533854.66743e-051.5e-05
Goudprijs-0.1778431914563670.045979-3.8680.0003670.000183
Conjunct_Seizoenzuiver-51.374970745648811.300252-4.54644.4e-052.2e-05
Cons_vertrouw29.90472760155197.373134.05590.0002060.000103
Alg_consumptie_index_BE-105.78782154100963.506334-1.66580.1030260.051513
Gem_rente_kasbon_1j127.079892680716106.5336891.19290.2394650.119732


Multiple Linear Regression - Regression Statistics
Multiple R0.935503325245988
R-squared0.875166471546301
Adjusted R-squared0.854844734356164
F-TEST (value)43.0655343762174
F-TEST (DF numerator)7
F-TEST (DF denominator)43
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation164.31351893068
Sum Squared Residuals1160954.09764546


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13484.743211.12558000918273.614419990819
23411.133113.23300491279297.89699508721
33288.183235.6301545345852.5498454654203
43280.373124.87982844467155.490171555333
53173.953213.48141240209-39.5314124020916
63165.263009.97538921254155.284610787461
73092.713381.2802191535-288.570219153496
83053.053296.3459662075-243.2959662075
93181.963182.86905003614-0.90905003613946
102999.932825.00844066043174.921559339567
113249.573043.96417087456205.60582912544
123210.523033.98010585727176.539894142734
133030.293219.76538734896-189.475387348965
142803.472941.16017600913-137.690176009131
152767.632929.5321486251-161.902148625098
162882.63054.17036158531-171.570361585309
172863.362947.6935014458-84.3335014457977
182897.062897.89102111436-0.831021114359997
193012.612977.159886371335.4501136287043
203142.953145.18847236493-2.23847236492843
213032.932807.32797961433225.602020385666
223045.782863.20275092172182.577249078283
233110.522933.32828574331177.191714256686
243013.243018.26610625947-5.02610625947204
252987.13106.73928796235-119.63928796235
262995.553027.69978405082-32.1497840508221
272833.182867.10337957087-33.9233795708695
282848.963016.59390160801-167.633901608005
292794.833012.5054151716-217.6754151716
302845.263048.17102372439-202.911023724388
312915.023051.25008922407-136.230089224068
322892.632925.56955072037-32.9395507203656
332604.422535.2329633572169.1870366427897
342641.652440.31836976091201.331630239087
352659.812474.22934092095185.580659079054
362638.532729.67577051046-91.145770510464
372720.252664.9610552249555.2889447750484
382745.882641.53144570835104.348554291649
392735.72751.33466849212-15.6346684921185
402811.72628.59147947027183.108520529727
412799.432615.94279803997183.487201960032
422555.282488.3414723628766.9385276371274
432304.982345.65948897455-40.6794889745546
442214.952320.16144224852-105.211442248525
452065.812106.73173833295-40.9217383329518
461940.492133.35595178272-192.86595178272
4720422239.89706491664-197.897064916639
481995.372042.16583677588-46.7958367758845
491946.812027.14056126499-80.3305612649878
501765.91676.1692527902889.7307472097219
511635.251807.01746732396-171.767467323959


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.6047610251602540.7904779496794920.395238974839746
120.5447599778688970.9104800442622070.455240022131103
130.465585437021440.931170874042880.53441456297856
140.5255223155620660.9489553688758680.474477684437934
150.5480251643402190.9039496713195630.451974835659782
160.4483780399826230.8967560799652460.551621960017377
170.6616613926627110.6766772146745770.338338607337289
180.6492819314880450.7014361370239090.350718068511955
190.5780207998163080.8439584003673840.421979200183692
200.5375924590329030.9248150819341940.462407540967097
210.4380995116545570.8761990233091140.561900488345443
220.3626250285273260.7252500570546520.637374971472674
230.3154861143138210.6309722286276410.68451388568618
240.3402580381673810.6805160763347620.659741961832619
250.4415998843560190.8831997687120390.55840011564398
260.4443423948661980.8886847897323970.555657605133802
270.7509174036693710.4981651926612580.249082596330629
280.8374759587029180.3250480825941640.162524041297082
290.8475972504997070.3048054990005850.152402749500293
300.9505617109920030.09887657801599360.0494382890079968
310.9762218338960620.04755633220787660.0237781661039383
320.9624143770550560.0751712458898890.0375856229449445
330.9597755051681850.08044898966362960.0402244948318148
340.9342709058941350.131458188211730.0657290941058652
350.9473586334716920.1052827330566150.0526413665283075
360.9108815814007130.1782368371985750.0891184185992875
370.9445111313408060.1109777373183880.0554888686591938
380.989829716946710.02034056610658140.0101702830532907
390.9986712057198550.002657588560289210.0013287942801446
400.9930784609846840.01384307803063290.00692153901531646


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.0333333333333333NOK
5% type I error level40.133333333333333NOK
10% type I error level70.233333333333333NOK