Multiple Linear Regression - Estimated Regression Equation
BEL_20[t] = -1886.04000678096 + 0.191792840371528Nikkei[t] + 0.288303751656477DJ_Indust[t] + 0.0147718309612608Goudprijs[t] -9.98349305638133Conjunct_Seizoenzuiver[t] -2.50766896022597Cons_vertrouw[t] + 33.9568643858045Alg_consumptie_index_BE[t] -255.69184028108Gem_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
Goudprijs0.01477183096126080.0081991.80160.076320.03816
Conjunct_Seizoenzuiver-9.983493056381336.033247-1.65470.1028720.051436
Cons_vertrouw-2.507668960225977.649392-0.32780.7441130.372057
Alg_consumptie_index_BE33.956864385804517.2414661.96950.0532290.026614
Gem_rente_kasbon_5j-255.6918402810856.189516-4.55052.4e-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
12350.442644.52226973597-294.08226973597
22440.252591.6935085745-151.443508574501
32408.642694.24239617322-285.602396173219
42472.812875.44001921294-402.630019212943
52407.62585.60087290272-178.000872902716
62454.622732.94972929247-278.329729292474
72448.052583.28819996326-135.238199963261
82497.842517.61342566693-19.7734256669314
92645.642573.3635519511572.2764480488502
102756.762533.52907359763223.230926402375
112849.272668.67035332043180.599646679572
122921.442777.7390316414143.700968358595
132981.852810.19182531178171.658174688216
143080.582957.18251877454123.397481225461
153106.223020.116062224986.1039377750954
163119.312856.50265543567262.807344564329
173061.262847.85807442898213.401925571025
183097.312987.19403896795110.11596103205
193161.693101.0636491829560.6263508170478
203257.163169.8406030833287.3193969166838
213277.013303.22816215898-26.2181621589782
223295.323271.3231818674423.9968181325595
233363.993532.18819246-168.198192460001
243494.173785.90185801967-291.73185801967
253667.033851.58081047638-184.550810476383
263813.063909.92717343976-96.8671734397561
273917.963935.63905870863-17.6790587086296
283895.514075.79262323747-180.282623237466
293801.063923.64733261763-122.587332617628
303570.123505.7528764202964.3671235797117
313701.613507.86986753702193.740132462985
323862.273695.22163010429167.048369895706
333970.13812.15884936956157.94115063044
344138.524018.99216934148119.527830658519
354199.754045.36120653471154.388793465295
364290.894236.4821809452854.4078190547256
374443.914335.61262334952108.297376650476
384502.644403.0619216881999.5780783118134
394356.984190.67292615312166.307073846883
404591.274377.34426916186213.925730838143
414696.964571.73034500852125.229654991476
424621.44565.3126882880356.087311711967
434562.844589.48099026381-26.6409902638104
444202.524205.08179278783-2.56179278782505
454296.494296.5678631292-0.0778631292036487
464435.234572.62116297434-137.391162974342
474105.184188.10491509472-82.924915094721
484116.684276.06118970188-159.381189701878
493844.493682.14878243838162.341217561616
503720.983662.7001734154958.2798265845135
513674.43524.36380455471150.036195445289
523857.623842.6538504821214.9661495178809
533801.063956.29842765428-155.238427654278
543504.373662.62139313115-158.251393131149
553032.63195.12832183371-162.528321833709
563047.033182.65793008691-135.627930086909
572962.343044.78372345458-82.4437234545783
582197.821982.56027771883215.259722281166
592014.451837.89267623246176.557323767537
601862.831908.05860030339-45.2286003033879
611905.411841.7198851733663.6901148266424
621810.991652.7428662126158.247133787398
631670.071569.45106639554100.618933604459
641864.441926.8019576247-62.3619576247028
652052.022073.70878135401-21.6887813540108
662029.62143.06199947823-113.46199947823
672070.832098.29620424375-27.466204243753
682293.412416.35750331553-122.947503315532
692443.272455.47321046387-12.2032104638691
702513.172451.7207157750761.4492842249306
712466.922520.65788343882-53.7378834388213
722502.662708.80824493619-206.148244936194


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.5058540906171040.9882918187657920.494145909382896
120.7009749093495960.5980501813008070.299025090650404
130.9185312865038640.1629374269922730.0814687134961363
140.8927597790214170.2144804419571670.107240220978583
150.86607823804070.2678435239185990.1339217619593
160.866480348653450.26703930269310.13351965134655
170.837541340432610.3249173191347780.162458659567389
180.9166632978059040.1666734043881910.0833367021940955
190.9050493031581320.1899013936837360.0949506968418681
200.8802317802920420.2395364394159170.119768219707958
210.844499121449820.3110017571003580.155500878550179
220.8800630996140870.2398738007718250.119936900385913
230.8537380543413090.2925238913173830.146261945658691
240.8850713489268130.2298573021463740.114928651073187
250.9204767035901520.1590465928196970.0795232964098484
260.9270635902841310.1458728194317380.0729364097158688
270.954997621983170.09000475603366140.0450023780168307
280.9652589409661540.0694821180676910.0347410590338455
290.9874513433019850.02509731339603050.0125486566980152
300.9901481042246320.0197037915507370.00985189577536851
310.986657946038760.02668410792248210.013342053961241
320.9884750765358930.02304984692821320.0115249234641066
330.9919374597770080.01612508044598390.00806254022299196
340.9931541724780570.01369165504388520.00684582752194259
350.9931002471488230.01379950570235440.00689975285117722
360.990001147994350.01999770401130060.0099988520056503
370.986579911546740.02684017690652110.0134200884532605
380.9790220414911260.0419559170177470.0209779585088735
390.9722264912029690.05554701759406220.0277735087970311
400.96140060042210.07719879915580080.0385993995779004
410.9547835010772010.09043299784559740.0452164989227987
420.942501113275520.1149977734489590.0574988867244794
430.9349966918641580.1300066162716830.0650033081358416
440.9249851404204990.1500297191590030.0750148595795013
450.9560448887810520.08791022243789570.0439551112189479
460.9710690265029520.05786194699409540.0289309734970477
470.979575907181050.04084818563790060.0204240928189503
480.973074239697020.05385152060595860.0269257603029793
490.9967080059108330.006583988178333190.00329199408916659
500.9972003080311060.005599383937788560.00279969196889428
510.9954776802799640.009044639440072310.00452231972003615
520.9960780751616070.00784384967678680.0039219248383934
530.9961582862993550.007683427401289860.00384171370064493
540.999286571073260.001426857853478730.000713428926739364
550.9979997800468840.004000439906232260.00200021995311613
560.9945378256424620.01092434871507540.00546217435753769
570.9920447255702260.01591054885954730.00795527442977364
580.9810245623556980.03795087528860370.0189754376443019
590.9960579163327780.007884167334443430.00394208366722172
600.9859927279319480.02801454413610420.0140072720680521
610.951503467090660.0969930658186810.0484965329093405


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