Multiple Linear Regression - Estimated Regression Equation
BEL_20[t] = -1599.03720837273 + 0.101061464791887Nikkei[t] + 0.369872254147376DJ_Indust[t] + 0.0144742968554702Goudprijs[t] -13.0075815890662Conjunct_Seizoenzuiver[t] + 14.0577880911957Cons_vertrouw[t] + 33.7278234341511Alg_consumptie_index_BE[t] -269.764154997347Gem_rente_kasbon_5j[t] + 99.4975226309243M1[t] + 111.784180391219M2[t] + 64.7722526051577M3[t] + 23.7198433389575M4[t] + 8.23471602593218M5[t] -12.6633778006483M6[t] + 36.2211969330588M7[t] + 46.5102316274506M8[t] + 84.1335508449912M9[t] + 149.910334438272M10[t] + 86.0422081747543M11[t] + 1.14348517765727t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-1599.03720837273365.422654-4.37592.7e-051.4e-05
Nikkei0.1010614647918870.0185115.459600
DJ_Indust0.3698722541473760.0406259.104500
Goudprijs0.01447429685547020.0209910.68950.4919140.245957
Conjunct_Seizoenzuiver-13.00758158906627.722738-1.68430.0949040.047452
Cons_vertrouw14.05778809119577.3151561.92170.057180.02859
Alg_consumptie_index_BE33.727823434151124.6396091.36880.1737870.086893
Gem_rente_kasbon_5j-269.76415499734763.228974-4.26654.2e-052.1e-05
M199.4975226309243117.366850.84770.3983860.199193
M2111.784180391219118.2926410.9450.3467030.173352
M364.7722526051577117.9669280.54910.584050.292025
M423.7198433389575118.2814890.20050.8414240.420712
M58.23471602593218115.8370610.07110.9434540.471727
M6-12.6633778006483115.818998-0.10930.913130.456565
M736.2211969330588116.4837530.3110.7564130.378206
M846.5102316274506116.7496530.39840.6911120.345556
M984.1335508449912116.0680170.72490.4700470.235024
M10149.910334438272116.0737671.29150.1991860.099593
M1186.0422081747543114.9794090.74830.4558310.227916
t1.143485177657272.7399610.41730.6772310.338616


Multiple Linear Regression - Regression Statistics
Multiple R0.943813094641892
R-squared0.890783157617505
Adjusted R-squared0.872255300427617
F-TEST (value)48.0780453178196
F-TEST (DF numerator)19
F-TEST (DF denominator)112
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation269.117649405580
Sum Squared Residuals8111522.63281751


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13484.742808.62255748293676.117442517073
23411.132816.14460449073594.985395509268
33288.183011.68750543237276.492494567625
43280.373347.12570049667-66.75570049667
53173.953436.34346903232-262.393469032320
63165.263163.088840942772.17115905723315
73092.713404.89334452617-312.183344526174
83053.053265.13347760171-212.083477601714
93181.963220.9491968528-38.9891968527991
102999.933083.03015493371-83.1001549337123
113249.573384.18225754057-134.612257540572
123210.523364.11886361002-153.598863610019
133030.293539.27759960481-508.987599604814
142803.473325.24114318235-521.771143182348
152767.633291.41608457393-523.78608457393
162882.63440.27775944428-557.677759444277
172863.362987.19267340104-123.832673401042
182897.062992.7343023541-95.6743023541023
193012.613072.71635019271-60.1063501927108
203142.953175.01334970606-32.0633497060587
213032.933107.98789687846-75.0578968784617
223045.782955.4455235725190.334476427491
233110.522969.77080150319140.749198496806
243013.242969.8532833795743.3867166204268
252987.13029.97120326318-42.8712032631799
262995.552988.345643986737.20435601326654
272833.182663.28164303577169.898356964234
282848.962795.6081775571253.3518224428814
292794.832940.41724116218-145.587241162180
302845.262938.26566647897-93.0056664789676
312915.022789.94204359655125.077956403453
322892.632650.4283830932242.201616906799
332604.422124.96132957595479.458670424053
342641.652259.55215326141382.097846738591
352659.812391.89166008817267.918339911832
362638.532394.81886575890243.711134241104
372720.252543.56670488732176.683295112677
382745.882488.13647858727257.743521412726
392735.72707.2664815564328.4335184435654
402811.72470.28859715743341.411402842567
412799.432451.71990910627347.710090893729
422555.282156.96171915732398.318280842685
432304.981884.31788708140420.662112918596
442214.951929.01329304077285.93670695923
452065.811796.82707486377268.982925136225
461940.491780.9854445357159.504555464300
4720421896.11900096138145.880999038625
481995.371744.93884517396250.431154826039
491946.811916.5256976516930.2843023483113
501765.91748.869124130617.0308758694006
511635.251674.88519054437-39.635190544373
521833.421776.9678728400756.4521271599324
531910.432018.95454320583-108.524543205828
541959.672366.29066720967-406.620667209671
551969.62372.83446355801-403.234463558007
562061.412341.92555286725-280.515552867254
572093.482583.21889902119-489.738899021194
582120.882512.05612354128-391.176123541277
592174.562527.51597035947-352.955970359474
602196.722568.03298054503-371.312980545027
612350.442886.24202052657-535.802020526574
622440.252906.51247428389-466.262474283886
632408.642833.03251273144-424.392512731436
642472.812915.77110094659-442.961100946592
652407.62629.32047198321-221.720471983214
662454.622834.98632654039-380.366326540391
672448.052652.21085686839-204.160856868388
682497.842666.58111973673-168.741119736731
692645.642764.68137646383-119.041376463833
702756.762713.9660814096942.7939185903105
712849.272814.9860747235134.2839252764931
722921.442875.029824314246.4101756858017
732981.852964.7923140999617.0576859000381
743080.583184.00178564041-103.421785640410
753106.223192.1191489299-85.899148929897
763119.312952.39283719018166.917162809819
773061.262869.9037232058191.356276794202
783097.312969.09655585297128.21344414703
793161.693112.6246649643349.0653350356719
803257.163162.8663686631194.2936313368915
813277.013184.5198330336792.4901669663344
823295.323259.0211475249936.2988524750109
833363.993377.21330917197-13.2233091719671
843494.173501.86223964972-7.69223964971827
853667.033694.60984705601-27.5798470560133
863813.063746.8004313204166.2595686795931
873917.963675.65776147452242.302238525481
883895.513706.01865950118189.491340498825
893801.063586.76707792798214.292922072024
903570.123314.18140378979255.938596210209
913701.613349.25910807833352.350891921674
923862.273511.29728185908350.972718140922
933970.13680.75923189107289.340768108933
944138.523998.38115866742140.138841332576
954199.754005.30591265847194.444087341531
964290.893913.29420654587377.595793454128
974443.914194.01683732498249.893162675018
984502.644275.88370420499226.756295795007
994356.984013.94715652773343.032843472272
1004591.274213.93221133105377.337788668951
1014696.964431.15397063312265.806029366885
1024621.44349.20243048809272.197569511910
1034562.844409.84056454571152.999435454289
1044202.524129.8333106503172.6866893496911
1054296.494307.92401769693-11.4340176969336
1064435.234641.52263044847-206.292630448468
1074105.184145.41452511886-40.2345251188606
1084116.684240.07740634523-123.397406345227
1093844.493798.9075939339645.5824060660444
1103720.983852.17118176078-131.191181760783
1113674.43738.85546496286-64.4554649628629
1123857.623933.65824339979-76.0382433997869
1133801.063943.5865605569-142.526560556897
1143504.373525.13660820987-20.7666082098690
1153032.63096.90468604373-64.3046860437313
1163047.033161.49679542101-114.466795421005
1172962.343160.73838475211-198.398384752110
1182197.822165.8971774223431.9228225776631
1192014.451912.72507459910101.724925400897
1201862.831875.25624960617-12.4262496061659
1211905.411985.78762416858-80.377624168581
1221810.991758.3234284118352.6665715881659
1231670.071592.0610502306878.008949769321
1241864.441905.96884013565-41.5288401356504
1252052.022066.60035978536-14.5803597853576
1262029.62090.00547897607-60.405478976066
1272070.832126.99603054467-56.1660305446732
1282293.412531.63106736077-238.221067360769
1292443.272640.88275897021-197.612758970214
1302513.172715.69240468249-202.522404682485
1312466.922810.89541327531-343.975413275310
1322502.662795.76723507134-293.107235071345


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
230.1432477893930160.2864955787860310.856752210606984
240.07321870040961810.1464374008192360.926781299590382
250.04199923706658250.0839984741331650.958000762933418
260.01919039942488660.03838079884977330.980809600575113
270.007864264841819740.01572852968363950.99213573515818
280.003086911766329820.006173823532659630.99691308823367
290.001676448868918510.003352897737837030.998323551131082
300.0006863188516845740.001372637703369150.999313681148315
310.0002837450010873410.0005674900021746830.999716254998913
329.16980217966155e-050.0001833960435932310.999908301978203
338.15818149243974e-050.0001631636298487950.999918418185076
342.94520390031158e-055.89040780062315e-050.999970547960997
351.32053104965165e-052.6410620993033e-050.999986794689503
364.98916633374654e-069.97833266749309e-060.999995010833666
371.68930743681456e-063.37861487362912e-060.999998310692563
381.70186631587016e-063.40373263174032e-060.999998298133684
391.71965361642185e-063.43930723284371e-060.999998280346384
401.69902256589049e-053.39804513178098e-050.999983009774341
410.0001910041844151690.0003820083688303370.999808995815585
420.0001065933803265290.0002131867606530590.999893406619673
436.664122640398e-050.000133282452807960.999933358773596
447.18558563335686e-050.0001437117126671370.999928144143666
457.80155308520417e-050.0001560310617040830.999921984469148
460.0001497381416109410.0002994762832218820.99985026185839
470.0007517617384589420.001503523476917880.99924823826154
480.001861486546071470.003722973092142940.998138513453928
490.002726562365776290.005453124731552590.997273437634224
500.002217877436487470.004435754872974940.997782122563513
510.001379935541293670.002759871082587340.998620064458706
520.002307088975198430.004614177950396850.997692911024802
530.004904706547003250.00980941309400650.995095293452997
540.005918213784804760.01183642756960950.994081786215195
550.00671214563822410.01342429127644820.993287854361776
560.01110485196456210.02220970392912410.988895148035438
570.008993372714091320.01798674542818260.991006627285909
580.02251533240084240.04503066480168480.977484667599158
590.01991425210412370.03982850420824750.980085747895876
600.01725187037879520.03450374075759040.982748129621205
610.01788325817582220.03576651635164440.982116741824178
620.01965108822062210.03930217644124420.980348911779378
630.0598226878147170.1196453756294340.940177312185283
640.2943892332616810.5887784665233610.705610766738319
650.7171301861942870.5657396276114260.282869813805713
660.8785493648600640.2429012702798730.121450635139936
670.9509390410205760.09812191795884880.0490609589794244
680.9743483687340170.0513032625319670.0256516312659835
690.9888117445909470.02237651081810610.0111882554090531
700.9964386430604330.007122713879134690.00356135693956735
710.998819549066550.002360901866897790.00118045093344890
720.9997360103648550.0005279792702889910.000263989635144495
730.9999552494199738.95011600547486e-054.47505800273743e-05
740.9999918219797871.63560404269183e-058.17802021345915e-06
750.9999994479490861.10410182817721e-065.52050914088607e-07
760.9999998659988082.68002383356715e-071.34001191678358e-07
770.9999999798059164.03881671518795e-082.01940835759397e-08
780.9999999866672622.66654758810450e-081.33327379405225e-08
790.9999999778656184.42687631609296e-082.21343815804648e-08
800.9999999772141624.55716763995504e-082.27858381997752e-08
810.9999999593966778.12066455311474e-084.06033227655737e-08
820.9999999122648891.75470222245799e-078.77351111228994e-08
830.9999998799942262.40011547178971e-071.20005773589486e-07
840.9999998030531813.93893637745505e-071.96946818872752e-07
850.9999998086707333.82658533651996e-071.91329266825998e-07
860.999999875303962.49392082151797e-071.24696041075899e-07
870.9999999555719518.8856097620371e-084.44280488101855e-08
880.9999999926411321.47177356644605e-087.35886783223024e-09
890.9999999983607423.27851516313736e-091.63925758156868e-09
900.999999999798454.03098284684173e-102.01549142342086e-10
910.9999999994300831.13983382385728e-095.6991691192864e-10
920.9999999982840023.43199576747599e-091.71599788373799e-09
930.9999999941395881.17208237361543e-085.86041186807713e-09
940.9999999935371531.29256948434256e-086.46284742171282e-09
950.9999999820491853.59016296426999e-081.79508148213500e-08
960.9999999352718941.29456211224920e-076.47281056124602e-08
970.9999998527879322.94424135901040e-071.47212067950520e-07
980.9999997489864275.02027145903405e-072.51013572951703e-07
990.9999993821014461.23579710809519e-066.17898554047593e-07
1000.9999975588308584.88233828503801e-062.44116914251901e-06
1010.999990654370251.86912595016216e-059.34562975081078e-06
1020.99997645035994.70992801995718e-052.35496400997859e-05
1030.9999454996616650.0001090006766707855.45003383353927e-05
1040.9997801540102380.0004396919795233980.000219845989761699
1050.9993669977178470.001266004564306510.000633002282153255
1060.998892558778150.002214882443699920.00110744122184996
1070.998525097863210.002949804273578020.00147490213678901
1080.9937530859955010.01249382800899730.00624691400449863
1090.9738079722560990.05238405548780240.0261920277439012


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level640.735632183908046NOK
5% type I error level770.885057471264368NOK
10% type I error level810.93103448275862NOK