Multiple Linear Regression - Estimated Regression Equation
BEL20[t] = -6.52694269803798 + 0.38134548609792Eonia[t] + 0.0066331019909006Werkloosheid[t] + 0.0339479944182582Consumentenvertrouwen[t] -0.0176233167337368Goudprijs[t] + 0.00861723790694973Olieprijs[t] + 0.0406391768418570CPI[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-6.526942698037982.38488-2.73680.0071160.003558
Eonia0.381345486097920.0642675.933800
Werkloosheid0.00663310199090060.0013165.04032e-061e-06
Consumentenvertrouwen0.03394799441825820.0069714.86993e-062e-06
Goudprijs-0.01762331673373680.022191-0.79420.428610.214305
Olieprijs0.008617237906949730.0039432.18560.0307220.015361
CPI0.04063917684185700.0247861.63960.1036160.051808


Multiple Linear Regression - Regression Statistics
Multiple R0.821004574068137
R-squared0.674048510640803
Adjusted R-squared0.658276664381487
F-TEST (value)42.7374512506842
F-TEST (DF numerator)6
F-TEST (DF denominator)124
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.443811783973242
Sum Squared Residuals24.4241435495955


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13.032.528862467100140.501137532899857
22.8032.631606639734890.171393360265108
32.7682.678846242516290.0891537574837057
42.8832.652173138200330.230826861799671
52.8632.731825772037690.131174227962309
62.8972.94231092612984-0.0453109261298374
73.0133.20823999158108-0.195239991581082
83.1433.57895333402728-0.435953334027283
93.0333.35529564464951-0.322295644649509
103.0463.42821612369081-0.382216123690813
113.1113.34020458700085-0.229204587000851
123.0134.3083665810325-1.29536658103250
132.9873.24243715217481-0.255437152174809
142.9963.14683270316400-0.150832703163997
152.8332.94397538811202-0.110975388112018
162.8492.91563616907485-0.0666361690748498
172.7952.758213117543540.0367868824564586
182.8452.712719271350990.132280728649011
192.9153.03301895613899-0.118018956138994
202.8933.07113642599380-0.178136425993797
212.6042.77570109006415-0.171701090064148
222.6422.315071101390110.326928898609894
232.661.775382902593600.884617097406401
242.6392.04274332438530.596256675614701
252.722.320743961213300.399256038786698
262.7462.378583234405160.367416765594839
272.7362.419976654556070.316023345443931
282.8122.327544576919110.484455423080892
292.7992.320682429893770.478317570106226
302.5552.290918972301560.264081027698440
312.3052.67672989992180-0.371729899921805
322.2152.66082224946506-0.445822249465058
332.0662.68646593848017-0.620465938480174
341.942.63971624795032-0.699716247950316
352.0422.51314735381025-0.471147353810252
361.9952.34075676879281-0.345756768792811
371.9472.27731516979939-0.330315169799387
381.7662.16750911477274-0.401509114772736
391.6351.94932252581049-0.314322525810488
401.8332.06133507586850-0.228335075868503
411.912.06531652356652-0.155316523566523
421.961.96783418640435-0.00783418640434615
431.972.24318894228212-0.273188942282121
442.0612.40753719200839-0.346537192008392
452.0932.54982783286232-0.456827832862316
462.1212.13125322539307-0.0102532253930704
472.1752.30269572913065-0.127695729130647
482.1972.39521749977699-0.198217499776989
492.352.55283678509818-0.202836785098181
502.442.63824164372342-0.198241643723416
512.4092.54239917372659-0.133399173726592
522.4732.48727537695453-0.0142753769545326
532.4082.41205113061827-0.00405113061826799
542.4552.64208456826422-0.187084568264222
552.4482.8938820671105-0.445882067110501
562.4983.10151427871375-0.60351427871375
572.6463.12993179137956-0.483931791379559
582.7573.0772604088016-0.320260408801600
592.8492.87701643611857-0.0280164361185700
602.9212.853424110705630.0675758892943694
612.9822.889733610969180.0922663890308174
623.0813.015356058129020.0656439418709842
633.1063.10986675820726-0.00386675820725781
643.1192.951037973466970.167962026533034
653.0612.697078527132910.363921472867087
663.0972.739848933397470.357151066602535
673.1623.139190137706570.0228098622934251
683.2573.27800536751436-0.0210053675143613
693.2773.14203210050450.134967899495502
703.2953.172461044194780.122538955805216
713.3642.997993963742540.366006036257458
723.4943.216133603129130.27786639687087
733.6673.384938114063590.282061885936408
743.8133.337432671164820.47556732883518
753.9183.244456292096070.673543707903935
763.8963.328955029161850.567044970838153
773.8013.26815956712910.532840432870902
783.573.462666725696360.107333274303636
793.7023.85764514853185-0.155645148531854
803.8623.96758405557747-0.105584055577467
813.973.866085945398650.103914054601354
824.1393.837928277189910.301071722810089
834.23.671996314150980.52800368584902
844.2913.410510993034830.880489006965169
854.4443.630885058131740.81311494186826
864.5033.664703689178740.838296310821256
874.3573.568464321332140.788535678667865
884.5913.747530460337780.843469539662219
894.6973.634880062617961.06211993738204
904.6213.612281971441691.00871802855831
914.5634.019945289372950.543054710627052
924.2034.007932659482590.195067340517414
934.2963.881305919790740.41469408020926
944.4353.843079336437810.591920663562193
954.1053.652063172416140.452936827583862
964.1173.757124883559860.359875116440137
973.8443.767821405665080.0761785943349186
983.7213.85309626671009-0.132096266710090
993.6743.88954341116678-0.215543411166777
1003.8583.793475126939280.0645248730607213
1013.8013.766847927768530.0341520722314743
1023.5043.86283777376056-0.358837773760565
1033.0334.2358899442194-1.2028899442194
1043.0474.20228495580579-1.15528495580579
1052.9624.02778282004451-1.06578282004451
1062.1983.25381164883254-1.05581164883254
1072.0142.60415942852153-0.590159428521525
1081.8632.22344393493199-0.360443934931989
1091.9052.21079346409249-0.305793464092489
1101.8111.85654968154084-0.0455496815408419
1111.671.8116048573789-0.141604857378901
1121.8641.863937387790016.26122099874546e-05
1132.0521.908936040835420.143063959164578
1142.032.08139440319924-0.0513944031992398
1152.0712.29810846050504-0.227108460505042
1162.2932.64124405962976-0.348244059629764
1172.4432.47677443292429-0.0337744329242888
1182.5132.363142043832080.149857956167918
1192.4672.411768164088730.0552318359112712
1202.5032.329406117524550.173593882475448
1212.542.395993739997040.144006260002959
1222.4832.349320852605600.133679147394396
1232.6262.395544976253310.230455023746685
1242.6562.540696488421710.115303511578291
1252.4472.168369877594700.278630122405305
1262.4672.310218065047140.156781934952857
1272.4622.83746925148891-0.375469251488915
1282.5052.95937767668005-0.454377676680048
1292.5792.85115799954385-0.272157999543846
1302.6492.92893610743094-0.279936107430943
1312.6372.86283904555191-0.225839045551909


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.0008787235816516720.001757447163303340.999121276418348
110.0006153582725018050.001230716545003610.999384641727498
120.0002062655593766060.0004125311187532120.999793734440623
130.0002210070608548180.0004420141217096360.999778992939145
144.71259844848096e-059.42519689696192e-050.999952874015515
159.00616697596201e-061.80123339519240e-050.999990993833024
161.73030505214405e-063.46061010428809e-060.999998269694948
173.65545430783622e-077.31090861567244e-070.99999963445457
181.39548733097121e-072.79097466194241e-070.999999860451267
192.30153054991982e-084.60306109983964e-080.999999976984695
207.47544960303117e-091.49508992060623e-080.99999999252455
213.98377021393674e-087.96754042787349e-080.999999960162298
228.79613583082916e-091.75922716616583e-080.999999991203864
238.67518727119655e-091.73503745423931e-080.999999991324813
242.80595923888905e-095.6119184777781e-090.99999999719404
251.44509635548742e-092.89019271097484e-090.999999998554904
265.04217689203774e-101.00843537840755e-090.999999999495782
271.31953193165719e-102.63906386331437e-100.999999999868047
285.76717683575943e-111.15343536715189e-100.999999999942328
291.76875382461664e-113.53750764923327e-110.999999999982312
301.66760542193812e-113.33521084387624e-110.999999999983324
314.14879514602423e-108.29759029204845e-100.99999999958512
321.18712006636003e-092.37424013272006e-090.99999999881288
336.46080540198683e-091.29216108039737e-080.999999993539195
345.17214660795943e-081.03442932159189e-070.999999948278534
358.67148857002095e-081.73429771400419e-070.999999913285114
367.22392259002392e-081.44478451800478e-070.999999927760774
372.98424106293431e-085.96848212586862e-080.99999997015759
381.17777933364393e-082.35555866728786e-080.999999988222207
394.73820144124059e-099.47640288248118e-090.999999995261799
404.88743918498313e-099.77487836996627e-090.99999999511256
412.84311663633253e-095.68623327266506e-090.999999997156883
421.03235783760647e-082.06471567521294e-080.999999989676422
434.55525824298141e-089.11051648596281e-080.999999954447418
441.21866330095137e-072.43732660190273e-070.99999987813367
451.35009733581721e-072.70019467163442e-070.999999864990266
462.2333647090806e-074.4667294181612e-070.999999776663529
473.06822292808928e-076.13644585617855e-070.999999693177707
484.48516944038307e-078.97033888076613e-070.999999551483056
492.1088194129996e-064.2176388259992e-060.999997891180587
501.47882523602673e-052.95765047205347e-050.99998521174764
515.15177380113457e-050.0001030354760226910.999948482261989
520.0001645657754246140.0003291315508492270.999835434224575
530.000493947460166830.000987894920333660.999506052539833
540.001580628979159260.003161257958318520.99841937102084
550.00474597484770820.00949194969541640.995254025152292
560.0164381060738180.0328762121476360.983561893926182
570.05263957312987540.1052791462597510.947360426870125
580.1010025428360810.2020050856721620.898997457163919
590.1794530092789770.3589060185579540.820546990721023
600.3351388328428990.6702776656857990.664861167157101
610.4986601516482920.9973203032965840.501339848351708
620.652584965653410.694830068693180.34741503434659
630.7739894742031050.452021051593790.226010525796895
640.8575399109843130.2849201780313740.142460089015687
650.8800389529267560.2399220941464870.119961047073244
660.8981778187599180.2036443624801640.101822181240082
670.8770175381004240.2459649237991520.122982461899576
680.8487825272131230.3024349455737540.151217472786877
690.8290550922512930.3418898154974140.170944907748707
700.809639619310930.380720761378140.19036038068907
710.792406147148090.4151877057038190.207593852851909
720.8037194743376160.3925610513247680.196280525662384
730.8728307172580660.2543385654838680.127169282741934
740.8785181919461930.2429636161076130.121481808053807
750.8606921901363250.2786156197273490.139307809863675
760.8644446719807240.2711106560385510.135555328019276
770.8926399593724650.2147200812550700.107360040627535
780.9860359923457470.02792801530850610.0139640076542530
790.9960124250822560.007975149835487760.00398757491774388
800.9976255603597990.004748879280403060.00237443964020153
810.998057615734920.003884768530159680.00194238426507984
820.9994608149342720.001078370131456450.000539185065728224
830.9998325340682880.0003349318634239220.000167465931711961
840.9998101586297650.0003796827404697610.000189841370234880
850.9998392224007740.0003215551984523340.000160777599226167
860.9997976274138530.0004047451722936660.000202372586146833
870.9996573053147630.0006853893704742970.000342694685237149
880.9994683656329340.001063268734132120.000531634367066058
890.9993995418613480.001200916277304130.000600458138652066
900.9991344513688370.001731097262325020.000865548631162511
910.999519452117940.000961095764120440.00048054788206022
920.9993183499889280.001363300022143660.00068165001107183
930.999077331066340.001845337867319350.000922668933659677
940.9992268540417980.001546291916403550.000773145958201775
950.9996102050033090.000779589993382410.000389794996691205
960.9998315902833220.0003368194333562230.000168409716678112
970.9999104462572320.0001791074855361828.95537427680908e-05
980.9999535949586249.28100827521577e-054.64050413760788e-05
990.9999719335275225.6132944955891e-052.80664724779455e-05
1000.999990822473861.83550522807422e-059.1775261403711e-06
1010.999999528450779.43098461443915e-074.71549230721957e-07
1020.9999997890304334.21939134837489e-072.10969567418744e-07
1030.999999965764476.84710584228158e-083.42355292114079e-08
1040.999999953399899.32002214404243e-084.66001107202121e-08
1050.9999999575205748.49588514838488e-084.24794257419244e-08
1060.9999999899344532.01310944525951e-081.00655472262975e-08
1070.9999999815247163.69505688458387e-081.84752844229194e-08
1080.999999943303891.13392221562619e-075.66961107813096e-08
1090.999999935952871.28094260290691e-076.40471301453456e-08
1100.9999999362730681.27453864478889e-076.37269322394447e-08
1110.999999711115345.77769320118724e-072.88884660059362e-07
1120.9999988050021482.38999570331684e-061.19499785165842e-06
1130.999998962434812.07513037799125e-061.03756518899562e-06
1140.9999965466191716.90676165800907e-063.45338082900453e-06
1150.9999987042388162.59152236717197e-061.29576118358599e-06
1160.9999999368713171.26257366764203e-076.31286833821014e-08
1170.9999992976357761.40472844721956e-067.02364223609781e-07
1180.9999953254794439.34904111482786e-064.67452055741393e-06
1190.999979381510324.12369793587486e-052.06184896793743e-05
1200.9997708010464040.0004583979071911990.000229198953595599
1210.9979426727991350.004114654401729240.00205732720086462


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level890.794642857142857NOK
5% type I error level910.8125NOK
10% type I error level910.8125NOK