Multiple Linear Regression - Estimated Regression Equation
BEL_20[t] = -3817.4613946616 + 0.0945317983390053Nikkei[t] + 0.360449529459283DJ_Indust[t] + 0.0653703019067602Goudprijs[t] -14.6060391320068Conjunct_Seizoenzuiver[t] -3.86165594355231Cons_vertrouw[t] + 246.57375886206Alg_consumptie_index_BE[t] + 223.046859169249Gem_rente_kasbon_1j[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-3817.4613946616616.247741-6.194700
Nikkei0.09453179833900530.05051.87190.068030.034015
DJ_Indust0.3604495294592830.0699865.15036e-063e-06
Goudprijs0.06537030190676020.058241.12240.2679120.133956
Conjunct_Seizoenzuiver-14.60603913200687.767973-1.88030.0668530.033427
Cons_vertrouw-3.861655943552318.349519-0.46250.6460540.323027
Alg_consumptie_index_BE246.5737588620652.8878134.66223e-051.5e-05
Gem_rente_kasbon_1j223.046859169249118.4886541.88240.0665550.033278


Multiple Linear Regression - Regression Statistics
Multiple R0.98353031074024
R-squared0.967331872144792
Adjusted R-squared0.962013804819526
F-TEST (value)181.895379087991
F-TEST (DF numerator)7
F-TEST (DF denominator)43
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation163.422316729577
Sum Squared Residuals1148394.70502627


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11635.251683.47630700722-48.2263070072228
21833.421675.75837539814157.661624601860
31910.431603.20399216471307.226007835285
41959.671983.53911687270-23.8691168727036
51969.62045.23056138458-75.6305613845798
62061.412204.48818114559-143.078181145595
72093.482311.68507228755-218.205072287552
82120.882358.65796671820-237.777966718203
92174.562360.38686648766-185.826866487657
102196.722435.55452693567-238.834526935670
112350.442608.2934945071-257.853494507099
122440.252457.45062860971-17.2006286097128
132408.642374.3729271476234.2670728523819
142472.812631.40488612628-158.59488612628
152407.62578.20332275917-170.603322759174
162454.622652.56601794605-197.946017946046
172448.052584.83597332654-136.785973326542
182497.842470.2908646704427.5491353295608
192645.642507.19727042017138.442729579831
202756.762680.8586888728075.9013111271972
212849.272789.8916499463159.3783500536878
222921.442824.7220653568596.7179346431536
232981.852770.43108403516211.418915964839
243080.582950.14330419146130.436695808542
253106.223096.529302726169.69069727383502
263119.312894.34721707433224.962782925666
273061.262858.61615078845202.643849211553
283097.313046.625378895250.6846211047988
293161.693140.9606196595120.7293803404903
303257.163180.0845971577277.0754028422763
313277.013269.508681435117.50131856489218
323295.323058.89283843997236.427161560029
333363.993375.41812964038-11.4281296403797
343494.173689.96740301083-195.797403010828
353667.033712.5213321679-45.4913321679013
363813.063710.3815878858102.678412114204
373917.963665.17578458137252.784215418635
383895.513960.87192298474-65.3619229847421
393801.064103.47835636203-302.41835636203
403570.123626.52915156129-56.4091515612881
413701.613611.9666452819389.6433547180742
423862.273762.2844290299299.9855709700786
433970.13761.48035005156208.619649948443
444138.523926.01104938168212.508950618324
454199.754107.220410020392.5295899796992
464290.894266.4659329946324.4240670053703
474443.914446.53617052913-2.62617052912971
484502.644643.01217215573-140.372172155729
494356.984461.73902859837-104.759028598376
504591.274646.50277396368-55.2327739636803
514696.964758.51943930459-61.5594393045858


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.04974257661039680.09948515322079360.950257423389603
120.01483214262772940.02966428525545890.98516785737227
130.00509895980316330.01019791960632660.994901040196837
140.004268943906164230.008537887812328450.995731056093836
150.002487969862661880.004975939725323760.997512030137338
160.007529687362967340.01505937472593470.992470312637033
170.005465009772811160.01093001954562230.994534990227189
180.04431842048400140.08863684096800280.955681579515999
190.597273940832360.805452118335280.40272605916764
200.9794896913242590.04102061735148230.0205103086757411
210.9943981099902780.01120378001944440.00560189000972219
220.9995910957852320.0008178084295356270.000408904214767813
230.999939824568020.0001203508639606956.01754319803474e-05
240.9999598405277618.03189444773857e-054.01594722386928e-05
250.9999167464877620.0001665070244769018.32535122384506e-05
260.9999329542308860.0001340915382272096.70457691136043e-05
270.9999090306434430.0001819387131131889.09693565565942e-05
280.9998069622886860.0003860754226272890.000193037711313644
290.999584411293920.0008311774121607230.000415588706080362
300.999018873307920.001962253384160000.000981126692079998
310.9986884322526030.002623135494793160.00131156774739658
320.9990683697517120.001863260496575280.000931630248287642
330.9975510034887110.004897993022577250.00244899651128862
340.9972447344960970.00551053100780590.00275526550390295
350.9965549187950970.006890162409805280.00344508120490264
360.9909682392855970.01806352142880560.00903176071440281
370.9872015993170170.02559680136596510.0127984006829826
380.9680037282063330.06399254358733450.0319962717936672
390.9803171246439330.03936575071213390.0196828753560669
400.9901794859332870.01964102813342530.00982051406671264


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level160.533333333333333NOK
5% type I error level260.866666666666667NOK
10% type I error level290.966666666666667NOK