Multiple Linear Regression - Estimated Regression Equation
BEL_20[t] = -1829.91346353290 + 0.0932493209745398Nikkei[t] + 0.340625474153254DJ_Indust[t] -0.0461339961375057Goudprijs[t] -3.13234058387437Conjunct_Seizoenzuiver[t] -3.40204073251154Cons_vertrouw[t] -40.6029474729970Alg_consumptie_index_BE[t] + 46.1458989103431Gem_rente_kasbon_1j[t] + 166.234384975720M1[t] + 211.441636202194M2[t] + 145.674425778467M3[t] + 104.382150990713M4[t] + 55.5711165024448M5[t] -4.54850954972528M6[t] -9.27999423012134M7[t] -1.80540573459105M8[t] + 65.0922035015173M9[t] + 102.426980918673M10[t] + 78.1752424408722M11[t] + 7.05246043891046t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-1829.91346353290396.703255-4.61281.1e-055e-06
Nikkei0.09324932097453980.0201514.62751e-055e-06
DJ_Indust0.3406254741532540.0439377.752600
Goudprijs-0.04613399613750570.021183-2.17790.0315120.015756
Conjunct_Seizoenzuiver-3.132340583874378.45438-0.37050.711710.355855
Cons_vertrouw-3.402040732511547.501817-0.45350.6510690.325535
Alg_consumptie_index_BE-40.602947472997031.022759-1.30880.1932770.096639
Gem_rente_kasbon_1j46.145898910343147.002120.98180.3283230.164161
M1166.234384975720125.3763341.32590.1875760.093788
M2211.441636202194125.9775551.67840.0960560.048028
M3145.674425778467125.9464021.15660.2498810.124941
M4104.382150990713126.4405950.82550.4108180.205409
M555.5711165024448123.9264420.44840.6547160.327358
M6-4.54850954972528124.324802-0.03660.970880.48544
M7-9.27999423012134124.738355-0.07440.9408280.470414
M8-1.80540573459105124.942163-0.01440.9884970.494248
M965.0922035015173124.5632360.52260.602310.301155
M10102.426980918673124.3672760.82360.4119260.205963
M1178.1752424408722123.5253670.63290.528110.264055
t7.052460438910462.7957932.52250.0130560.006528


Multiple Linear Regression - Regression Statistics
Multiple R0.934941793727624
R-squared0.874116157658626
Adjusted R-squared0.852760862975715
F-TEST (value)40.932057863762
F-TEST (DF numerator)19
F-TEST (DF denominator)112
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation288.923167774606
Sum Squared Residuals9349378.85021425


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13484.742534.02114712633950.718852873674
23411.132608.47459422049802.655405779515
33288.182801.49323261313486.686767386874
43280.373084.88324623281195.486753767186
53173.953184.69794168707-10.7479416870737
63165.263193.785816389-28.5258163889966
73092.713384.73266462838-292.022664628377
83053.053337.36663672685-284.316636726849
93181.963277.35744518876-95.3974451887568
102999.933168.8389390444-168.908939044399
113249.573357.25266260533-107.682662605332
123210.523417.82120965294-207.301209652936
133030.293658.79478612352-628.50478612352
142803.473487.00921576899-683.539215768993
152767.633410.92774799485-643.297747994851
162882.63524.22935742517-641.629357425168
172863.363126.80591151088-263.445911510876
182897.063039.12287284004-142.062872840037
193012.613078.60718789925-65.9971878992468
203142.953150.64062278773-7.6906227877324
213032.933176.30910125195-143.379101251949
223045.782964.4549327019381.3250672980713
233110.522979.24232169379131.277678306210
243013.242902.5991972917110.640802708298
252987.13051.6343875118-64.5343875117993
262995.553109.55371282317-114.003712823174
272833.182754.8844676888978.2955323111083
282848.962839.498385309749.4616146902643
292794.832933.93648470224-139.106484702244
302845.262850.05605188813-4.79605188812484
312915.022686.73642490625228.283575093747
322892.632626.10126646834266.528733531663
332604.422121.19596131122483.224038688777
342641.652299.05784858478342.592151415219
352659.812480.17418366772179.635816332280
362638.532453.56456329165184.965436708353
372720.252517.19035019666203.05964980334
382745.882514.41301750447231.466982495533
392735.72797.79835498630-62.0983549863025
402811.72679.8979854921131.802014507899
412799.432644.01113865752155.418861342482
422555.282348.67071174700206.609288253004
432304.982010.83414680724294.145853192756
442214.951991.2180815781223.731918421901
452065.811830.89276859119234.917231408806
461940.491791.83042103848148.659578961518
4720421982.5835496961559.416450303854
481995.371857.72597228793137.644027712072
491946.811993.81250060264-47.0025006026429
501765.91838.89297939166-72.9929793916587
511635.251814.84101277089-179.591012770887
521833.421890.77697325789-57.3569732578883
531910.431958.42336958905-47.9933695890542
541959.672117.66138002378-157.991380023775
551969.62216.31774557692-246.717745576917
562061.412254.13152166134-192.721521661344
572093.482416.70330871334-323.223308713343
582120.882597.23667872717-476.356678727169
592174.562495.02958803531-320.469588035314
602196.722563.62674243379-366.906742433792
612350.442934.02667244014-583.586672440137
622440.252990.70106878267-550.451068782671
632408.642903.76169847032-495.121698470325
642472.812900.43142873969-427.621428739685
652407.62669.06550322987-261.465503229871
662454.622746.57851880803-291.958518808029
672448.052665.6779765628-217.627976562798
682497.842600.56767631484-102.727676314841
692645.642748.01841625171-102.378416251705
702756.762689.5635600569667.1964399430367
712849.272826.2226980406923.0473019593099
722921.442878.7450354756842.6949645243168
732981.853042.11576961814-60.2657696181366
743080.583153.26314225632-72.6831422563204
753106.223079.2714331808226.948566819183
763119.312896.81616927087222.493830729126
773061.262889.47106478781171.788935212188
783097.312852.49225484560244.817745154395
793161.692895.27782162376266.412178376245
803257.162947.30052442882309.859475571180
813277.013061.78557865143215.224421348566
823295.323049.03014569472246.289854305285
833363.993233.94162174953130.048378250467
843494.173273.1038096405221.066190359502
853667.033469.59436554623197.435634453773
863813.063551.59897984671261.461020153290
873917.963613.58137426977304.378625730234
883895.513635.03947158522260.470528414775
893801.063511.31668029212289.743319707881
903570.123296.57809190852273.541908091477
913701.613292.539780215409.070219784997
923862.273456.6463434808405.623656519201
933970.13693.417149394276.682850606002
944138.523929.60727773035208.912722269645
954199.753911.98732717343287.762672826574
964290.894009.28330579892281.606694201080
974443.914249.84639433541194.063605664587
984502.644347.72760198227154.912398017730
994356.984140.16728673163216.812713268371
1004591.274275.46543564731315.804564352688
1014696.964501.35724635082195.602753649178
1024621.44531.6153316664389.7846683335693
1034562.844612.75642372264-49.9164237226385
1044202.524356.34248836437-153.822488364367
1054296.494465.59284961735-169.102849617354
1064435.234636.2088858338-200.978885833801
1074105.184216.15173970512-110.971739705118
1084116.684196.54296930608-79.8629693060819
1093844.493823.1034584372021.3865415627959
1103720.983759.29648754651-38.3164875465073
1113674.43497.55663226248176.843367737517
1123857.623806.189693634751.4303063652964
1133801.063855.63915298752-54.5791529875167
1143504.373560.90942307378-56.5394230737847
1153032.63209.19378241135-176.59378241135
1163047.033346.12310492481-299.093104924814
1172962.343186.03912753891-223.699127538906
1182197.822318.32840662910-120.508406629096
1192014.452178.30728940516-163.857289405160
1201862.832103.58222525945-240.752225259453
1211905.412088.18016806193-182.770168061932
1221810.991729.4991998767481.490800123258
1231670.071579.9267590309290.1432409690804
1241864.441924.78185340449-60.3418534044938
1252052.022087.23550620509-35.2155062050931
1262029.62162.4795468097-132.879546809699
1272070.832219.86604564642-149.036045646417
1282293.412458.78173326400-165.371733263996
1292443.272596.13829349014-152.868293490137
1302513.172641.39290395831-128.222903958309
1312466.922575.12701822777-108.207018227771
1322502.662586.45496956136-83.7949695613586


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
230.1712011369770580.3424022739541160.828798863022942
240.07797231378567170.1559446275713430.922027686214328
250.04448017234901210.08896034469802420.955519827650988
260.01967823655064790.03935647310129580.980321763449352
270.008032527798524160.01606505559704830.991967472201476
280.003193441165874030.006386882331748060.996806558834126
290.001800285225304960.003600570450609930.998199714774695
300.0007425835063811320.001485167012762260.999257416493619
310.0002847965915119730.0005695931830239470.999715203408488
329.23169701472007e-050.0001846339402944010.999907683029853
338.74074571100918e-050.0001748149142201840.99991259254289
343.22256377037297e-056.44512754074594e-050.999967774362296
351.47821129305409e-052.95642258610819e-050.99998521788707
367.36243329036599e-061.47248665807320e-050.99999263756671
372.64384878591697e-065.28769757183394e-060.999997356151214
381.81169348658725e-063.6233869731745e-060.999998188306513
391.46464270762981e-062.92928541525961e-060.999998535357292
401.80146198055577e-053.60292396111153e-050.999981985380194
410.0001470905514912540.0002941811029825080.999852909448509
427.57608683876598e-050.0001515217367753200.999924239131612
433.99819601600853e-057.99639203201706e-050.99996001803984
443.80725861247481e-057.61451722494961e-050.999961927413875
454.44751874736872e-058.89503749473744e-050.999955524812526
466.02384948960904e-050.0001204769897921810.999939761505104
470.0001354991835468140.0002709983670936280.999864500816453
480.0001689066570318330.0003378133140636670.999831093342968
490.0003060303470628080.0006120606941256170.999693969652937
500.0001957839225547260.0003915678451094520.999804216077445
510.0001011484362402340.0002022968724804680.99989885156376
528.75825791807284e-050.0001751651583614570.99991241742082
530.0001898981653972360.0003797963307944710.999810101834603
540.0002634258457781410.0005268516915562820.999736574154222
550.0003179922385319030.0006359844770638060.999682007761468
560.0006858339568037060.001371667913607410.999314166043196
570.0005486656443363960.001097331288672790.999451334355664
580.001918579777582450.003837159555164890.998081420222418
590.001627037932717580.003254075865435160.998372962067282
600.001327861421343430.002655722842686870.998672138578657
610.001487044513869950.002974089027739890.99851295548613
620.001876216515224640.003752433030449270.998123783484775
630.01177773261972970.02355546523945950.98822226738027
640.1218879562300680.2437759124601350.878112043769932
650.4248431393804520.8496862787609040.575156860619548
660.646089287875680.707821424248640.35391071212432
670.8230851015944660.3538297968110690.176914898405534
680.9041063719507030.1917872560985950.0958936280492974
690.9735526169279250.05289476614414930.0264473830720746
700.9921459368017130.01570812639657400.00785406319828702
710.998266543086080.003466913827841940.00173345691392097
720.9998048095230080.0003903809539843550.000195190476992177
730.9999851237930352.97524139291884e-051.48762069645942e-05
740.99999853643022.92713960125355e-061.46356980062678e-06
750.9999999429729091.14054183072453e-075.70270915362265e-08
760.999999989018192.19636210976787e-081.09818105488393e-08
770.9999999982148333.57033419681764e-091.78516709840882e-09
780.9999999989853492.02930261770487e-091.01465130885243e-09
790.999999998756942.48612222058396e-091.24306111029198e-09
800.9999999993357861.32842806664082e-096.64214033320408e-10
810.9999999994034031.19319302796948e-095.96596513984742e-10
820.9999999993945661.21086798880362e-096.0543399440181e-10
830.9999999986249182.75016349222907e-091.37508174611454e-09
840.9999999966453326.70933669451476e-093.35466834725738e-09
850.999999994033521.19329606682527e-085.96648033412636e-09
860.999999991451181.70976397591806e-088.5488198795903e-09
870.999999994714081.05718405349796e-085.28592026748981e-09
880.9999999989655262.06894714538849e-091.03447357269425e-09
890.9999999998788492.42302823955694e-101.21151411977847e-10
900.9999999999800583.98849026661947e-111.99424513330974e-11
910.9999999999415961.16807648829504e-105.8403824414752e-11
920.9999999997940764.11848942936719e-102.05924471468359e-10
930.9999999990895231.8209540439428e-099.104770219714e-10
940.9999999981258873.74822513059431e-091.87411256529715e-09
950.9999999919997621.60004754459736e-088.00023772298682e-09
960.9999999726491375.47017251086111e-082.73508625543055e-08
970.9999999019078271.96184346855913e-079.80921734279566e-08
980.9999995804106478.39178706135815e-074.19589353067908e-07
990.9999985759627152.84807456906469e-061.42403728453235e-06
1000.9999949618209861.00763580274477e-055.03817901372386e-06
1010.9999841942836363.16114327278508e-051.58057163639254e-05
1020.9999574886331058.50227337893005e-054.25113668946502e-05
1030.9999246408023470.0001507183953051507.53591976525749e-05
1040.9997322487938580.0005355024122841930.000267751206142096
1050.9992853549620.001429290076000780.000714645038000389
1060.9988048775595750.002390244880849630.00119512244042482
1070.9964528192782960.007094361443408550.00354718072170427
1080.986526025389670.02694794922066030.0134739746103301
1090.9646131041884940.07077379162301250.0353868958115063


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level720.827586206896552NOK
5% type I error level770.885057471264368NOK
10% type I error level800.919540229885057NOK