Multiple Linear Regression - Estimated Regression Equation
BEL_20[t] = + 623.189281438361 -0.0829840213057002Nikkei[t] + 0.265839363241114DJ_Indust[t] + 0.132169504408610Goudprijs[t] -13.1225855069165Conjunct_Seizoenzuiver[t] + 6.30504688723916Cons_vertrouw[t] -96.5668153338558Alg_consumptie_index_BE[t] + 146.912916190512Gem_rente_kasbon_1j[t] -38.0890581388965t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)623.189281438361412.1032041.51220.1379670.068984
Nikkei-0.08298402130570020.01802-4.6053.8e-051.9e-05
DJ_Indust0.2658393632411140.0290419.153800
Goudprijs0.1321695044086100.0393683.35730.0016810.000841
Conjunct_Seizoenzuiver-13.12258550691657.195252-1.82380.0753060.037653
Cons_vertrouw6.305046887239164.626491.36280.1802040.090102
Alg_consumptie_index_BE-96.566815333855834.504521-2.79870.0077160.003858
Gem_rente_kasbon_1j146.91291619051257.8951442.53760.0149630.007481
t-38.08905813889653.739189-10.186400


Multiple Linear Regression - Regression Statistics
Multiple R0.981850693082498
R-squared0.964030783506582
Adjusted R-squared0.957179504174502
F-TEST (value)140.708141761599
F-TEST (DF numerator)8
F-TEST (DF denominator)42
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation89.244763913917
Sum Squared Residuals334514.371214133


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13484.743398.8836264831785.8563735168272
23411.133350.6080407774260.5219592225808
33288.183333.78998188425-45.609981884249
43280.373262.6606466511817.7093533488226
53173.953355.17365881682-181.223658816820
63165.263145.2828241120219.9771758879848
73092.713183.99061319034-91.2806131903363
83053.053098.7399979097-45.6899979096969
93181.963034.9259252443147.034074755697
102999.933090.61660765886-90.6866076588616
113249.573059.58597261872189.984027381280
123210.523090.26975014272120.250249857276
133030.293062.75125238686-32.4612523868644
142803.472881.64436346083-78.1743634608296
152767.632746.9932765740920.6367234259085
162882.62856.9756778445625.6243221554399
172863.363051.99945440042-188.639454400418
182897.062963.5094753543-66.4494753542997
193012.612947.1005020076965.5094979923125
203142.953126.637275834216.3127241658018
213032.933040.17992052018-7.24992052017943
223045.783022.2790526379023.5009473620975
233110.523067.0037183815443.5162816184595
243013.243053.80418161965-40.564181619646
252987.12988.24224979404-1.14224979404267
262995.553001.00016312287-5.45016312286636
272833.182851.06729829201-17.8872982920094
282848.962788.0752359068560.8847640931478
292794.832861.07581437834-66.2458143783382
302845.263001.61193750129-156.351937501293
312915.022958.71293227000-43.6929322700043
322892.632865.1964550436627.4335449563381
332604.422632.64244626349-28.2224462634878
342641.652562.3895074088479.260492591162
352659.812630.6823936123929.1276063876141
362638.532681.71771730455-43.1877173045495
372720.252625.5087137389194.7412862610935
382745.882766.48891100244-20.6089110024444
392735.72733.325596765842.37440323415940
402811.72701.7225280674109.977471932601
412799.432649.06185162075150.368148379246
422555.282529.4951256527125.7848743472864
432304.982174.81502799308130.164972006921
442214.952176.2871118146738.6628881853331
452065.812048.3838446146417.4261553853613
461940.492029.32362410187-88.8336241018684
4720422133.7607444843-91.7607444843025
481995.372047.39602214434-52.0260221443377
491946.812046.50916225015-99.6991622501483
501765.91743.5095222672922.3904777327094
511635.251677.14226607157-41.8922660715677


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.8718270400030080.2563459199939840.128172959996992
130.7953575442490610.4092849115018770.204642455750939
140.8422984204415980.3154031591168040.157701579558402
150.8496177418877230.3007645162245540.150382258112277
160.7856297679828040.4287404640343910.214370232017196
170.8443683939566620.3112632120866770.155631606043338
180.8213820808730250.3572358382539510.178617919126975
190.8581057726846010.2837884546307980.141894227315399
200.8561976138523050.287604772295390.143802386147695
210.8091777387428120.3816445225143760.190822261257188
220.8136477974001580.3727044051996840.186352202599842
230.7701667467301890.4596665065396220.229833253269811
240.70513872196870.58972255606260.2948612780313
250.6172830492642620.7654339014714750.382716950735738
260.5186626597282510.9626746805434980.481337340271749
270.4615734512837020.9231469025674050.538426548716298
280.3782688645888560.7565377291777120.621731135411144
290.3371190738683080.6742381477366160.662880926131692
300.8606062053197870.2787875893604250.139393794680213
310.9576100299644520.08477994007109620.0423899700355481
320.9354778201585750.1290443596828500.0645221798414249
330.9246704513240920.1506590973518150.0753295486759075
340.8860690007494220.2278619985011560.113930999250578
350.8183838655267910.3632322689464180.181616134473209
360.9386059819538970.1227880360922060.0613940180461028
370.8838604811628720.2322790376742560.116139518837128
380.8462974817799440.3074050364401120.153702518220056
390.9589741344601820.08205173107963690.0410258655398184


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level20.0714285714285714OK