Multiple Linear Regression - Estimated Regression Equation
BEL_20[t] = -1886.04000678096 + 0.191792840371528Nikkei[t] + 0.288303751656477DJ_Indust[t] + 0.0147718309612606Goudprijs[t] -9.98349305638144Conjunct_Seizoenzuiver[t] -2.50766896022587Cons_vertrouw[t] + 33.9568643858046Alg_consumptie_index_BE[t] -255.691840281079Gem_rente_kasbon_5j[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-1886.04000678096270.224455-6.979500
Nikkei0.1917928403715280.01495312.826500
DJ_Indust0.2883037516564770.0331938.685800
Goudprijs0.01477183096126060.0081991.80160.076320.03816
Conjunct_Seizoenzuiver-9.983493056381446.033247-1.65470.1028720.051436
Cons_vertrouw-2.507668960225877.649392-0.32780.7441130.372057
Alg_consumptie_index_BE33.956864385804617.2414661.96950.0532290.026614
Gem_rente_kasbon_5j-255.69184028107956.189516-4.55052.4e-051.2e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.9837054952436
R-squared0.967676501372457
Adjusted R-squared0.96414111871007
F-TEST (value)273.711955332998
F-TEST (DF numerator)7
F-TEST (DF denominator)64
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation160.133985897204
Sum Squared Residuals1641145.18011685


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12502.662708.8082449362-206.148244936199
22466.922520.65788343882-53.7378834388196
32513.172451.7207157750761.4492842249317
42443.272455.47321046387-12.2032104638688
52293.412416.35750331553-122.947503315532
62070.832098.29620424375-27.4662042437528
72029.62143.06199947823-113.461999478229
82052.022073.70878135401-21.6887813540108
91864.441926.80195762470-62.3619576247026
101670.071569.45106639554100.618933604459
111810.991652.74286621260158.247133787398
121905.411841.7198851733663.6901148266421
131862.831908.05860030339-45.2286003033882
142014.451837.89267623246176.557323767537
152197.821982.56027771883215.259722281165
162962.343044.78372345458-82.4437234545788
173047.033182.65793008691-135.627930086909
183032.63195.12832183371-162.528321833710
193504.373662.62139313115-158.251393131149
203801.063956.29842765428-155.238427654278
213857.623842.6538504821214.9661495178816
223674.43524.36380455471150.03619544529
233720.983662.7001734154958.279826584514
243844.493682.14878243838162.341217561616
254116.684276.06118970188-159.381189701878
264105.184188.10491509472-82.9249150947207
274435.234572.62116297434-137.391162974343
284296.494296.5678631292-0.0778631292035645
294202.524205.08179278783-2.5617927878252
304562.844589.48099026381-26.6409902638108
314621.44565.3126882880356.0873117119668
324696.964571.73034500852125.229654991476
334591.274377.34426916186213.925730838142
344356.984190.67292615312166.307073846883
354502.644403.0619216881999.5780783118129
364443.914335.61262334952108.297376650476
374290.894236.4821809452754.4078190547265
384199.754045.36120653470154.388793465295
394138.524018.99216934148119.527830658519
403970.13812.15884936956157.941150630440
413862.273695.22163010429167.048369895706
423701.613507.86986753702193.740132462985
433570.123505.7528764202964.3671235797118
443801.063923.64733261763-122.587332617627
453895.514075.79262323747-180.282623237466
463917.963935.63905870863-17.6790587086295
473813.063909.92717343976-96.8671734397565
483667.033851.58081047638-184.550810476384
493494.173785.90185801967-291.731858019670
503363.993532.18819246-168.198192460000
513295.323271.3231818674423.9968181325598
523277.013303.22816215898-26.2181621589777
533257.163169.8406030833287.3193969166836
543161.693101.0636491829560.6263508170478
553097.312987.19403896795110.115961032050
563061.262847.85807442898213.401925571025
573119.312856.50265543567262.807344564328
583106.223020.1160622249086.1039377750947
593080.582957.18251877454123.397481225460
602981.852810.19182531178171.658174688216
612921.442777.73903164141143.700968358595
622849.272668.67035332043180.599646679572
632756.762533.52907359763223.230926402375
642645.642573.3635519511572.2764480488501
652497.842517.61342566693-19.7734256669316
662448.052583.28819996326-135.238199963261
672454.622732.94972929247-278.329729292475
682407.62585.60087290272-178.000872902716
692472.812875.44001921294-402.630019212943
702408.642694.24239617322-285.602396173219
712440.252591.6935085745-151.443508574502
722350.442644.52226973597-294.082269735966


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.04849653290934050.0969930658186810.95150346709066
120.01400727206805190.02801454413610380.985992727931948
130.00394208366722170.00788416733444340.996057916332778
140.01897543764430160.03795087528860330.981024562355698
150.00795527442977360.01591054885954720.992044725570226
160.005462174357537750.01092434871507550.994537825642462
170.002000219953116130.004000439906232250.997999780046884
180.000713428926739360.001426857853478720.99928657107326
190.003841713700644930.007683427401289860.996158286299355
200.003921924838393430.007843849676786850.996078075161607
210.004522319720036110.009044639440072210.995477680279964
220.002799691968894360.005599383937788710.997200308031106
230.003291994089166540.006583988178333080.996708005910833
240.02692576030297940.05385152060595870.97307423969702
250.02042409281895010.04084818563790020.97957590718105
260.02893097349704780.05786194699409570.971069026502952
270.04395511121894740.08791022243789480.956044888781053
280.07501485957950290.1500297191590060.924985140420497
290.06500330813584080.1300066162716820.93499669186416
300.05749888672448090.1149977734489620.94250111327552
310.04521649892279850.0904329978455970.954783501077201
320.0385993995779010.0771987991558020.961400600422099
330.02777350879703110.05554701759406220.972226491202969
340.02097795850887390.04195591701774770.979022041491126
350.01342008845326050.02684017690652110.98657991154674
360.00999885200565010.01999770401130020.99000114799435
370.006899752851177120.01379950570235420.993100247148823
380.00684582752194260.01369165504388520.993154172478057
390.008062540222992360.01612508044598470.991937459777008
400.01152492346410630.02304984692821270.988475076535894
410.01334205396124110.02668410792248220.986657946038759
420.009851895775368370.01970379155073670.990148104224632
430.01254865669801480.02509731339602970.987451343301985
440.03474105903384430.06948211806768870.965258940966156
450.04500237801683020.09000475603366030.95499762198317
460.07293640971586980.1458728194317400.92706359028413
470.07952329640984990.1590465928197000.92047670359015
480.1149286510731880.2298573021463760.885071348926812
490.1462619456586930.2925238913173850.853738054341307
500.1199369003859120.2398738007718240.880063099614088
510.1555008785501780.3110017571003570.844499121449822
520.1197682197079570.2395364394159150.880231780292043
530.09495069684186860.1899013936837370.905049303158131
540.0833367021940950.166673404388190.916663297805905
550.1624586595673900.3249173191347800.83754134043261
560.1335196513465510.2670393026931030.866480348653449
570.1339217619592990.2678435239185990.8660782380407
580.1072402209785830.2144804419571660.892759779021417
590.08146871349613750.1629374269922750.918531286503863
600.2990250906504020.5980501813008040.700974909349598
610.49414590938290.98829181876580.505854090617101


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level80.156862745098039NOK
5% type I error level230.450980392156863NOK
10% type I error level320.627450980392157NOK