Multiple Linear Regression - Estimated Regression Equation
BEL_20[t] = -2101.09115636334 + 0.192421203520586Nikkei[t] + 0.301255385502806DJ_Indust[t] + 0.011931737331997Goudprijs[t] -8.47433649695565Conjunct_Seizoenzuiver[t] -8.59705875060859Cons_vertrouw[t] + 27.7373411137287Alg_consumptie_index_BE[t] -259.760301077345Gem_rente_kasbon_5j[t] + 111.420983877046M1[t] + 147.196762063619M2[t] + 143.318245880678M3[t] + 78.5931152743392M4[t] + 68.8461761572716M5[t] + 46.0649034733879M6[t] + 77.6007840575792M7[t] + 97.8320949690298M8[t] + 117.535120245601M9[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)-2101.09115636334310.359456-6.769900
Nikkei0.1924212035205860.0162311.855700
DJ_Indust0.3012553855028060.0363368.290800
Goudprijs0.0119317373319970.0090281.32160.1919790.09599
Conjunct_Seizoenzuiver-8.474336496955657.250353-1.16880.2477080.123854
Cons_vertrouw-8.597058750608599.855071-0.87230.3869530.193477
Alg_consumptie_index_BE27.737341113728720.1481951.37670.1744030.087202
Gem_rente_kasbon_5j-259.76030107734564.403705-4.03330.0001778.9e-05
M1111.420983877046103.784361.07360.2878740.143937
M2147.196762063619108.980291.35070.1825390.09127
M3143.318245880678105.4372941.35930.1798150.089908
M478.5931152743392103.6986080.75790.4518680.225934
M568.846176157271698.0148980.70240.48550.24275
M646.0649034733879100.3630710.4590.6481240.324062
M777.6007840575792100.8119330.76980.4448610.22243
M897.8320949690298102.1222010.9580.3424170.171209
M9117.535120245601100.0547581.17470.2453630.122681
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)97.1010671539735
F-TEST (DF numerator)18
F-TEST (DF denominator)53
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation167.91104430026
Sum Squared Residuals1494288.29629421


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12350.442641.39845917012-290.958459170123
22440.252616.92159422002-176.671594220024
32408.642726.85128534376-318.211285343761
42472.812848.67839698914-375.868396989144
52407.62555.27875871935-147.678758719351
62454.622648.07394855203-193.453948552026
72448.052555.18101653486-107.131016534862
82497.842493.127347385744.71265261425865
92645.642573.1296101906772.5103898093341
102756.762617.18842554128139.571574458718
112849.272701.88921051192147.380789488082
122921.442682.08741134108239.352588658922
132981.852827.57150213298154.278497867023
143080.582990.5014574318690.078542568144
153106.223038.8537335850967.3662664149108
163119.312820.97426345955298.335736540447
173061.262840.30835845013220.951641549868
183097.312955.34744355393141.962556446073
193161.693099.7968226386961.8931773613089
203257.163183.4193552625973.7406447374149
213277.013365.00605759133-87.9960575913262
223295.323369.21931312572-73.8993131257238
233363.993579.75137323752-215.761373237518
243494.173682.24303552564-188.073035525642
253667.033835.91295714123-168.882957141233
263813.063940.46332432876-127.403324328763
273917.963988.71832487628-70.7583248762794
283895.514056.70603718522-161.196037185223
293801.063903.07056246709-102.010562467086
303570.123441.34162636562128.778373634377
313701.613476.62356237362224.986437626383
323862.273686.12983968646176.140160313544
333970.13829.7789676863140.321032313697
344138.524090.2342765897448.2857234102575
354199.754058.9205168308140.829483169199
364290.894183.75209115137107.137908848633
374443.914350.5739530460693.3360469539419
384502.644437.4536068342665.1863931657418
394356.984227.81174766188129.168252338122
404591.274340.59763863395250.672361366051
414696.964539.19373638599157.766263614012
424621.44519.12703337337102.272966626631
434562.844586.51564534514-23.6756453451422
444202.524220.40753184759-17.8875318475878
454296.494330.73253508512-34.242535085116
464435.234665.27894660937-230.048946609371
474105.184246.95871906507-141.778719065071
484116.684182.39911961097-65.7191196109737
493844.493694.88104502548149.60895497452
503720.983688.8750823304132.1049176695879
513674.43540.07672057885134.323279421154
523857.623824.478806905233.1411930947961
533801.063939.72518592325-138.665185923247
543504.373617.25030258715-112.880302587152
553032.63175.59865467915-142.998654679153
563047.033180.83366935079-133.80366935079
572962.343036.39078338201-74.0507833820095
582197.822058.23787204851139.582127951488
592014.451876.18410773924138.265892260758
601862.831829.9657087483632.8642912516409
611905.411842.7920834841362.6179165158713
621810.991694.28493485469116.705065145313
631670.071611.9581879541558.1118120458538
641864.441909.52485682693-45.0848568269274
652052.022042.38339805429.63660194580358
662029.62096.2796455679-66.679645567904
672070.832083.90429842853-13.0742984285344
682293.412396.31225646684-102.90225646684
692443.272459.81204606458-16.5420460645794
702513.172536.66116608537-23.491166085369
712466.922535.85607261545-68.93607261545
722502.662628.22263362258-125.56263362258


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
220.969033243383990.06193351323201740.0309667566160087
230.9774720096251880.04505598074962480.0225279903748124
240.972129787650170.05574042469966130.0278702123498306
250.9937558586683590.01248828266328270.00624414133164135
260.9956018875743460.00879622485130770.00439811242565385
270.9995435702324840.0009128595350317580.000456429767515879
280.9998357126818390.0003285746363225580.000164287318161279
290.9999758376385994.83247228021442e-052.41623614010721e-05
300.999992512237511.49755249784547e-057.48776248922733e-06
310.9999816713758523.6657248295076e-051.8328624147538e-05
320.9999915324521861.69350956282712e-058.4675478141356e-06
330.9999891372722922.17254554164641e-051.0862727708232e-05
340.9999783415056374.33169887260594e-052.16584943630297e-05
350.9999491057669170.0001017884661663045.08942330831522e-05
360.9998830553738880.0002338892522249940.000116944626112497
370.9996842213281330.0006315573437342170.000315778671867109
380.9996569637707260.0006860724585485110.000343036229274256
390.9998175469035150.0003649061929704890.000182453096485245
400.9994922001899660.001015599620068270.000507799810034137
410.9987538189915130.002492362016973090.00124618100848654
420.9975179225946150.004964154810770250.00248207740538513
430.9949853982027050.01002920359458910.00501460179729456
440.9929267373089360.01414652538212840.0070732626910642
450.9936192114458760.01276157710824790.00638078855412396
460.9939763882681570.0120472234636860.006023611731843
470.9880801042112750.02383979157744990.011919895788725
480.9703545034593320.05929099308133580.0296454965406679
490.9795839726410730.04083205471785320.0204160273589266
500.963036887747570.07392622450485840.0369631122524292


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