Multiple Linear Regression - Estimated Regression Equation
BEL_20[t] = -1880.76580017901 + 0.192813678210668Nikkei[t] + 0.286352347829325DJ_Indust[t] + 0.0145348419797004Goudprijs[t] -10.0672478500057Conjunct_Seizoenzuiver[t] -2.30528030345926Cons_vertrouw[t] -18.3563447065875Rend_oblig_EUR[t] + 35.9956460531887Alg_consumptie_index_BE[t] -234.559373355687Gem_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)-1880.76580017901273.254826-6.882800
Nikkei0.1928136782106680.01573112.256800
DJ_Indust0.2863523478293250.0345448.289500
Goudprijs0.01453484197970040.0083271.74540.0857890.042894
Conjunct_Seizoenzuiver-10.06724785000576.08984-1.65310.1032810.051641
Cons_vertrouw-2.305280303459267.758898-0.29710.7673570.383678
Rend_oblig_EUR-18.356344706587581.447108-0.22540.8224150.411208
Alg_consumptie_index_BE35.995646053188719.5850681.83790.0707910.035396
Gem_rente_kasbon_5j-234.559373355687109.529101-2.14150.0361060.018053


Multiple Linear Regression - Regression Statistics
Multiple R0.983718731063487
R-squared0.967702541845157
Adjusted R-squared0.963601277317558
F-TEST (value)235.952237494821
F-TEST (DF numerator)8
F-TEST (DF denominator)63
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation161.334860280945
Sum Squared Residuals1639823.03993793


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12502.662715.11121737621-212.451217376205
22466.922525.04678792393-58.1267879239323
32513.172458.2320752674254.937924732581
42443.272462.11526691126-18.8452669112567
52293.412420.37565727693-126.965657276927
62070.832097.57373016300-26.7437301629974
72029.62138.19060900769-108.590609007692
82052.022069.87463273278-17.8546327327776
91864.441920.80090928068-56.3609092806808
101670.071562.24769070221107.822309297789
111810.991653.09716110496157.892838895036
121905.411846.7288466962258.6811533037796
131862.831908.92945799045-46.0994579904478
142014.451830.29235960961184.157640390387
152197.821977.37911028682220.440889713182
162962.343047.09957305382-84.7595730538206
173047.033194.64081645900-147.610816459004
183032.63202.0950925811-169.495092581102
193504.373659.56124244339-155.19124244339
203801.063948.66912136436-147.609121364356
213857.623830.8370085732926.7829914267107
223674.43520.40647381457153.993526185434
233720.983665.1760561996755.803943800331
243844.493684.19213012148160.297869878519
254116.684271.70370286783-155.023702867825
264105.184188.01448667954-82.8344866795445
274435.234574.11338074336-138.883380743356
284296.494296.486939816880.00306018311966483
294202.524205.90718229782-3.38718229781947
304562.844589.98746184695-27.1474618469506
314621.44562.6666073213858.7333926786242
324696.964566.91792302561130.042076974394
334591.274377.72025694618213.549743053825
344356.984195.95741884186161.022581158144
354502.644406.8248236806695.8151763193443
364443.914332.6346476118111.275352388198
374290.894232.5198978671458.3701021328598
384199.754043.98047642233155.769523577667
394138.524018.02623632452120.493763675484
403970.13811.40438107579158.695618924211
413862.273696.03820748375166.231792516251
423701.613505.66041887935195.949581120654
433570.123503.1735846713766.9464153286269
443801.063922.97674055146-121.916740551459
453895.514073.91399629707-178.403996297075
463917.963931.52329307046-13.5632930704627
473813.063910.48894529271-97.4289452927083
483667.033858.52945154261-191.499451542606
493494.173791.34559426302-297.175594263016
503363.993532.12246397146-168.132463971461
513295.323273.3575252000621.96247479994
523277.013309.00481489556-31.9948148955643
533257.163174.0784688250683.0815311749384
543161.693103.5534227967058.1365772033041
553097.312991.46234121307105.847658786932
563061.262850.41400538995210.845994610050
573119.312858.82228946229260.487710537713
583106.223019.8450731878186.3749268121896
593080.582957.54148305236123.038516947640
602981.852812.99259262929168.857407370712
612921.442781.20598750142140.234012498581
622849.272670.49488108333178.775118916669
632756.762535.57989216804221.180107831961
642645.642570.3204224648875.319577535124
652497.842517.17044876234-19.3304487623408
662448.052581.48762006692-133.437620066922
672454.622726.19854089696-271.578540896956
682407.62579.49381485465-171.893814854649
692472.812869.19278930997-396.382789309974
702408.642693.30659962385-284.666599623851
712440.252590.90190935628-150.651909356276
722350.442646.2535309255-295.813530925502


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.02957058763028050.05914117526056090.97042941236972
130.007178449745215120.01435689949043020.992821550254785
140.04353591615313210.08707183230626420.956464083846868
150.02680576580087190.05361153160174380.973194234199128
160.01889682970212260.03779365940424520.981103170297877
170.008807854480455810.01761570896091160.991192145519544
180.003635526764026880.007271053528053770.996364473235973
190.01268343640792230.02536687281584460.987316563592078
200.00983129052361350.0196625810472270.990168709476386
210.00854232742104270.01708465484208540.991457672578957
220.009641418812425960.01928283762485190.990358581187574
230.01017254789748640.02034509579497270.989827452102514
240.04861824092020050.09723648184040110.9513817590798
250.03580835900164060.07161671800328110.96419164099836
260.05716900724943850.1143380144988770.942830992750561
270.0661242791144960.1322485582289920.933875720885504
280.1151466150301040.2302932300602080.884853384969896
290.116356164635030.232712329270060.88364383536497
300.1169262489683410.2338524979366810.88307375103166
310.1010269859073480.2020539718146970.898973014092652
320.09069357256846020.1813871451369200.90930642743154
330.08116864401757220.1623372880351440.918831355982428
340.0665098192092350.133019638418470.933490180790765
350.046084175673950.09216835134790.95391582432605
360.03938033648571960.0787606729714390.96061966351428
370.02579895221926750.0515979044385350.974201047780733
380.02535748311256750.0507149662251350.974642516887432
390.02550226711009530.05100453422019060.974497732889905
400.03062572442135810.06125144884271630.969374275578642
410.02968455358151200.05936910716302390.970315446418488
420.02170749823477630.04341499646955270.978292501765224
430.02623629030435840.05247258060871690.973763709695642
440.05090254466562830.1018050893312570.949097455334372
450.06599677766061050.1319935553212210.93400322233939
460.3237639539983650.6475279079967310.676236046001635
470.447568341059660.895136682119320.55243165894034
480.4181573374235330.8363146748470660.581842662576467
490.3834160010527390.7668320021054770.616583998947261
500.5826365069250180.8347269861499650.417363493074982
510.7208321518559750.5583356962880510.279167848144025
520.6845923711637640.6308152576724720.315407628836236
530.6253804182853280.7492391634293430.374619581714672
540.5589577494363680.8820845011272650.441042250563632
550.8641475987449660.2717048025100680.135852401255034
560.790143908779890.4197121824402210.209856091220110
570.8018654677463790.3962690645072420.198134532253621
580.7359396619795970.5281206760408050.264060338020403
590.6231040862391450.7537918275217090.376895913760855
600.4730032617529360.9460065235058720.526996738247064


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.0204081632653061NOK
5% type I error level100.204081632653061NOK
10% type I error level230.469387755102041NOK