Multiple Linear Regression - Estimated Regression Equation
BEL_20[t] = -2101.09115636333 + 0.192421203520586Nikkei[t] + 0.301255385502806DJ_Indust[t] + 0.0119317373319972Goudprijs[t] -8.47433649695562Conjunct_Seizoenzuiver[t] -8.59705875060859Cons_vertrouw[t] + 27.737341113729Alg_consumptie_index_BE[t] -259.760301077346Gem_rente_kasbon_5j[t] + 111.420983877044M1[t] + 147.196762063619M2[t] + 143.318245880678M3[t] + 78.5931152743392M4[t] + 68.8461761572716M5[t] + 46.0649034733881M6[t] + 77.6007840575795M7[t] + 97.83209496903M8[t] + 117.535120245602M9[t] + 186.991868973947M10[t] + 126.132735266924M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-2101.09115636333310.359456-6.769900
Nikkei0.1924212035205860.0162311.855700
DJ_Indust0.3012553855028060.0363368.290800
Goudprijs0.01193173733199720.0090281.32160.1919790.09599
Conjunct_Seizoenzuiver-8.474336496955627.250353-1.16880.2477080.123854
Cons_vertrouw-8.597058750608599.855071-0.87230.3869530.193477
Alg_consumptie_index_BE27.73734111372920.1481951.37670.1744030.087202
Gem_rente_kasbon_5j-259.76030107734664.403705-4.03330.0001778.9e-05
M1111.420983877044103.784361.07360.2878740.143937
M2147.196762063619108.980291.35070.1825390.09127
M3143.318245880678105.4372941.35930.1798150.089908
M478.5931152743392103.6986080.75790.4518680.225934
M568.846176157271698.0148980.70240.48550.24275
M646.0649034733881100.3630710.4590.6481240.324062
M777.6007840575795100.8119330.76980.4448610.22243
M897.83209496903102.1222010.9580.3424170.171209
M9117.535120245602100.0547581.17470.2453630.122681
M10186.991868973947101.0938861.84970.0699380.034969
M11126.13273526692497.9679031.28750.2035170.101759


Multiple Linear Regression - Regression Statistics
Multiple R0.985174578486878
R-squared0.970568950096798
Adjusted R-squared0.960573499186276
F-TEST (value)97.101067153973
F-TEST (DF numerator)18
F-TEST (DF denominator)53
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation167.911044300261
Sum Squared Residuals1494288.29629422


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12350.442641.39845917013-290.958459170134
22440.252616.92159422002-176.671594220021
32408.642726.85128534376-318.21128534376
42472.812848.67839698914-375.868396989143
52407.62555.27875871935-147.678758719351
62454.622648.07394855203-193.453948552026
72448.052555.18101653486-107.131016534862
82497.842493.127347385744.71265261425887
92645.642573.1296101906772.5103898093345
102756.762617.18842554128139.571574458719
112849.272701.88921051192147.380789488082
122921.442682.08741134108239.352588658924
132981.852827.57150213297154.278497867026
143080.582990.5014574318690.0785425681443
153106.223038.8537335850967.3662664149116
163119.312820.97426345955298.335736540447
173061.262840.30835845013220.951641549869
183097.312955.34744355393141.962556446074
193161.693099.7968226386961.893177361309
203257.163183.4193552625973.7406447374147
213277.013365.00605759133-87.9960575913268
223295.323369.21931312572-73.8993131257242
233363.993579.75137323752-215.761373237519
243494.173682.24303552564-188.073035525643
253667.033835.91295714123-168.882957141232
263813.063940.46332432876-127.403324328765
273917.963988.71832487628-70.7583248762801
283895.514056.70603718522-161.196037185224
293801.063903.07056246709-102.010562467087
303570.123441.34162636562128.778373634377
313701.613476.62356237362224.986437626382
323862.273686.12983968646176.140160313543
333970.13829.7789676863140.321032313696
344138.524090.2342765897448.2857234102573
354199.754058.9205168308140.829483169199
364290.894183.75209115137107.137908848633
374443.914350.5739530460693.3360469539443
384502.644437.4536068342665.1863931657415
394356.984227.81174766188129.168252338122
404591.274340.59763863395250.672361366051
414696.964539.19373638599157.766263614013
424621.44519.12703337337102.272966626632
434562.844586.51564534514-23.6756453451413
444202.524220.40753184759-17.887531847587
454296.494330.73253508512-34.2425350851151
464435.234665.27894660937-230.048946609371
474105.184246.95871906507-141.778719065070
484116.684182.39911961097-65.7191196109733
493844.493694.88104502548149.608954974522
503720.983688.8750823304132.1049176695874
513674.43540.07672057885134.323279421153
523857.623824.4788069052033.1411930947961
533801.063939.72518592325-138.665185923247
543504.373617.25030258715-112.880302587152
553032.63175.59865467915-142.998654679154
563047.033180.83366935079-133.80366935079
572962.343036.39078338201-74.0507833820098
582197.822058.23787204851139.582127951488
592014.451876.18410773924138.265892260758
601862.831829.9657087483632.8642912516415
611905.411842.7920834841362.6179165158736
621810.991694.28493485469116.705065145312
631670.071611.9581879541558.1118120458536
641864.441909.52485682693-45.0848568269278
652052.022042.383398054209.63660194580364
662029.62096.27964556790-66.6796455679041
672070.832083.90429842853-13.0742984285343
682293.412396.31225646684-102.902256466841
692443.272459.81204606458-16.5420460645794
702513.172536.66116608537-23.4911660853690
712466.922535.85607261545-68.9360726154506
722502.662628.22263362258-125.562633622581


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
220.9690332433839920.06193351323201630.0309667566160081
230.9774720096251880.0450559807496240.022527990374812
240.972129787650170.0557404246996590.0278702123498295
250.9937558586683580.01248828266328310.00624414133164155
260.9956018875743460.00879622485130740.0043981124256537
270.9995435702324840.0009128595350317040.000456429767515852
280.9998357126818390.0003285746363225880.000164287318161294
290.9999758376385994.83247228021483e-052.41623614010742e-05
300.999992512237511.49755249784545e-057.48776248922723e-06
310.9999816713758523.66572482950834e-051.83286241475417e-05
320.9999915324521861.69350956282700e-058.46754781413499e-06
330.9999891372722922.17254554164629e-051.08627277082314e-05
340.9999783415056374.33169887260622e-052.16584943630311e-05
350.9999491057669170.0001017884661663105.08942330831549e-05
360.9998830553738880.0002338892522250080.000116944626112504
370.9996842213281330.0006315573437342210.000315778671867110
380.9996569637707260.0006860724585484550.000343036229274227
390.9998175469035150.0003649061929705120.000182453096485256
400.9994922001899660.001015599620068230.000507799810034113
410.9987538189915130.002492362016972990.00124618100848650
420.9975179225946150.004964154810770250.00248207740538512
430.9949853982027050.01002920359458890.00501460179729446
440.9929267373089360.01414652538212800.00707326269106401
450.9936192114458760.0127615771082480.006380788554124
460.9939763882681570.01204722346368600.00602361173184298
470.9880801042112750.02383979157744990.0119198957887249
480.9703545034593320.05929099308133650.0296454965406683
490.9795839726410740.04083205471785210.0204160273589260
500.963036887747570.07392622450485820.0369631122524291


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level170.586206896551724NOK
5% type I error level250.862068965517241NOK
10% type I error level291NOK