Multiple Linear Regression - Estimated Regression Equation
BEL_20[t] = -1619.34491058766 + 0.097090018535330Nikkei[t] + 0.377623204905491DJ_Indust[t] + 0.0224418967318068Goudprijs[t] -11.9978133248867Conjunct_Seizoenzuiver[t] + 13.1960386198306Cons_vertrouw[t] + 35.1584463072643Alg_consumptie_index_BE[t] -281.151660194821Gem_rente_kasbon_5j[t] + 101.669511969855M1[t] + 111.675876231966M2[t] + 66.9582047439335M3[t] + 27.0773094453436M4[t] + 9.19557078440676M5[t] -8.26816866526923M6[t] + 43.5191316121944M7[t] + 54.7982173057046M8[t] + 90.3544111508069M9[t] + 154.637115270349M10[t] + 85.9311944465136M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-1619.34491058766360.842489-4.48771.7e-059e-06
Nikkei0.0970900185353300.0158196.137400
DJ_Indust0.3776232049054910.03599910.489800
Goudprijs0.02244189673180680.0086952.58110.0111280.005564
Conjunct_Seizoenzuiver-11.99781332488677.307075-1.64190.1033820.051691
Cons_vertrouw13.19603861983066.9919861.88730.0616840.030842
Alg_consumptie_index_BE35.158446307264324.310661.44620.1508850.075442
Gem_rente_kasbon_5j-281.15166019482156.829501-4.94733e-061e-06
M1101.669511969855116.8221670.87030.3859850.192993
M2111.675876231966117.859310.94750.3453880.172694
M366.9582047439335117.4191580.57020.5696410.28482
M427.0773094453436117.5755760.23030.8182770.409139
M59.19557078440676115.3902030.07970.9366240.468312
M6-8.26816866526923114.916944-0.07190.942770.471385
M743.5191316121944114.742080.37930.7051930.352597
M854.7982173057046114.6270440.47810.6335330.316767
M990.3544111508069114.6854890.78780.4324370.216218
M10154.637115270349115.0969691.34350.181790.090895
M1185.9311944465136114.5581840.75010.4547480.227374


Multiple Linear Regression - Regression Statistics
Multiple R0.94372311410716
R-squared0.890613316100117
Adjusted R-squared0.873188888576242
F-TEST (value)51.1129169024226
F-TEST (DF numerator)18
F-TEST (DF denominator)113
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation268.132458734677
Sum Squared Residuals8124136.74326266


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13484.742824.94932725762659.79067274238
23411.132831.67944896253579.450551037465
33288.183026.34361786074261.836382139262
43280.373371.16595702633-90.7959570263253
53173.953460.59456225228-286.644562252277
63165.263186.09006272444-20.8300627244404
73092.713416.53562046413-323.825620464133
83053.053275.75311444174-222.70311444174
93181.963226.47236691210-44.5123669120959
102999.933090.11186975507-90.1818697550748
113249.573385.55429526564-135.984295265644
123210.523367.06124372353-156.541243723530
133030.293536.91507305959-506.625073059586
142803.473314.27051443885-510.800514438848
152767.633278.90181337856-511.27181337856
162882.63434.23459844578-551.634598445783
172863.362981.53971781858-118.179717818577
182897.062989.65626779428-92.5962677942793
193012.613070.89015368888-58.2801536888809
203142.953175.44209763084-32.4920976308441
213032.933114.56308713044-81.6330871304413
223045.782953.5841964616392.1958035383672
233110.522966.14395016107144.376049838927
243013.242968.4651107424644.7748892575436
252987.13029.90319403906-42.8031940390629
262995.552990.541421886935.00857811306545
272833.182664.59635271701168.583647282989
282848.962794.8872360052854.0727639947217
292794.832939.84732636752-145.017326367522
302845.262946.22098484891-100.960984848915
312915.022797.29075293645117.729247063550
322892.632660.34624676337232.283753236633
332604.422132.61689243756471.803107562441
342641.652271.92859150958369.721408490422
352659.812407.31788325785252.492116742151
362638.532399.32144294878239.208557051219
372720.252548.91463235998171.335367640016
382745.882492.10523568421253.774764315794
392735.72709.6967396233926.0032603766056
402811.72472.99135095788338.708649042122
412799.432449.88175063835349.548249361649
422555.282156.51035095622398.769649043779
432304.981878.2034968129426.776503187098
442214.951929.12242698476285.827573015238
452065.811795.90033131494269.909668685061
461940.491776.75680346372163.733196536281
4720421891.28608291027150.713917089728
481995.371743.94856603094251.421433969057
491946.811921.6839078549125.1260921450883
501765.91753.6721164336812.2278835663206
511635.251679.23165110453-43.9816511045273
521833.421771.1784904001662.2415095998413
531910.432017.38506129133-106.955061291331
541959.672369.02970769841-409.359707698409
551969.62376.18941793250-406.589417932497
562061.412345.81140615421-284.401406154209
572093.482584.35994753175-490.879947531753
582120.882515.97294061163-395.092940611629
592174.562525.63302147816-351.073021478160
602196.722567.71439975515-370.994399755147
612350.442882.44325306799-532.003253067986
622440.252897.72556474247-457.475564742468
632408.642826.54859490051-417.908594900511
642472.812915.55822575873-442.748225758727
652407.62624.86826017711-217.268260177112
662454.622827.44797155566-372.827971555662
672448.052650.93711425795-202.887114257947
682497.842663.55323750216-165.713237502159
692645.642760.68167711004-115.041677110037
702756.762710.3847425097646.3752574902388
712849.272808.5557139392340.7142860607731
722921.442864.6092694158456.8307305841598
732981.852953.8803039792727.9696960207345
743080.583168.90350949230-88.323509492304
753106.223176.90368584923-70.6836858492261
763119.312936.13144867646183.178551323542
773061.262856.49322090725204.766779092751
783097.312965.06967595899132.240324041010
793161.693110.1131946442151.5768053557948
803257.163158.0015765427699.1584234572418
813277.013185.1289212468391.8810787531733
823295.323254.4734478979240.8465521020795
833363.993369.74779724366-5.75779724366406
843494.173491.930530717492.23946928250979
853667.033685.70754337421-18.6775433742065
863813.063741.4292132235871.6307867764211
873917.963673.72249825942244.237501740584
883895.513708.68404932705186.825950672954
893801.063598.57749367387202.482506326132
903570.123313.32176750317256.798232496835
913701.613356.59519517905345.014804820952
923862.273514.41553114797347.854468852029
933970.13676.07256246039294.027437539608
944138.523988.45623625326150.063763746744
954199.753998.73254195989201.017458040108
964290.893910.76716303597380.122836964035
974443.914185.42827991608258.481720083922
984502.644262.80160010089239.838399899109
994356.983998.90291842320358.077081576795
1004591.274203.17891811961388.091081880395
1014696.964420.0950882854276.864911714602
1024621.44336.48201019186284.917989808139
1034562.844398.03746831465164.802531685346
1044202.524120.131694421782.3883055783028
1054296.494305.34034454639-8.85034454639469
1064435.234638.5329817899-203.302981789899
1074105.184150.08985488328-44.9098548832834
1084116.684240.72854501824-124.048545018241
1093844.493817.2319093179127.2580906820945
1103720.983872.06691585994-151.086915859942
1113674.43766.79191888594-92.3919188859348
1123857.623950.20310536987-92.5831053698668
1133801.063956.74444591671-155.684445916706
1143504.373528.70311771171-24.333117711709
1153032.63100.94100226371-68.3410022637077
1163047.033157.2452875544-110.215287554398
1172962.343153.97241587285-191.632415872854
1182197.822162.6123705867535.2076294132463
1192014.451896.19368260242118.256317397579
1201862.831857.377891646935.45210835307332
1211905.411975.26257577339-69.8525757733936
1221810.991765.2344591746145.7555408253865
1231670.071592.5702089974877.4997910025243
1241864.441899.79661991287-35.3566199128735
1252052.022055.93307267161-3.91307267160933
1262029.62081.41808305635-51.8180830563478
1272070.832116.80658350557-45.9765835055748
1282293.412525.39738085609-231.987380856094
1292443.272638.34145343671-195.071453436706
1302513.172722.73581916078-209.565819160776
1312466.922836.76517629852-369.845176298515
1322502.662831.12583696468-328.465836964683


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
220.05456828168177180.1091365633635440.945431718318228
230.06035855627860190.1207171125572040.939641443721398
240.1168177754948500.2336355509897010.88318222450515
250.06829510665196980.1365902133039400.93170489334803
260.04843460287105210.09686920574210420.951565397128948
270.02391070390074360.04782140780148710.976089296099256
280.03217879888748150.06435759777496310.967821201112518
290.03514379522388260.07028759044776510.964856204776117
300.02162201601990590.04324403203981180.978377983980094
310.01154593971258650.0230918794251730.988454060287413
320.006500091853481180.01300018370696240.993499908146519
330.009966631919048880.01993326383809780.99003336808095
340.006900282919063680.01380056583812740.993099717080936
350.003865410703370180.007730821406740350.99613458929663
360.002074453728364060.004148907456728120.997925546271636
370.001106374734771590.002212749469543180.998893625265228
380.002490770790479620.004981541580959250.99750922920952
390.004451241839391950.00890248367878390.995548758160608
400.01810319159957760.03620638319915520.981896808400422
410.01500815137107800.03001630274215610.984991848628922
420.01701576992972520.03403153985945030.982984230070275
430.02728874988270370.05457749976540750.972711250117296
440.05392359836449670.1078471967289930.946076401635503
450.1089171896703110.2178343793406230.891082810329689
460.3245821211628630.6491642423257260.675417878837137
470.5112287293456330.9775425413087340.488771270654367
480.5442417529403890.9115164941192210.455758247059611
490.5129532723429620.9740934553140760.487046727657038
500.4588041005219520.9176082010439030.541195899478048
510.404892386957060.809784773914120.59510761304294
520.5534477657419590.8931044685160820.446552234258041
530.6453642137558950.7092715724882110.354635786244105
540.8199906380681780.3600187238636450.180009361931822
550.8345940077660290.3308119844679420.165405992233971
560.8069318747161240.3861362505677510.193068125283876
570.8256458281583990.3487083436832020.174354171841601
580.868560164352260.2628796712954790.131439835647740
590.8486324829007150.302735034198570.151367517099285
600.823936232131270.3521275357374610.176063767868731
610.855106071908660.2897878561826800.144893928091340
620.8699273465378510.2601453069242990.130072653462149
630.9374849669119520.1250300661760950.0625150330880476
640.9946150260444950.01076994791100930.00538497395550463
650.9987190579924530.002561884015093270.00128094200754664
660.9996406524364520.0007186951270970040.000359347563548502
670.9999518736703189.62526593631777e-054.81263296815888e-05
680.9999773362010474.53275979066333e-052.26637989533167e-05
690.9999871862362772.56275274460655e-051.28137637230328e-05
700.9999923085668951.53828662102570e-057.69143310512852e-06
710.999994256018171.14879636609501e-055.74398183047504e-06
720.9999944442381631.11115236739173e-055.55576183695865e-06
730.9999973029886665.3940226676377e-062.69701133381885e-06
740.9999990419476251.91610475042714e-069.58052375213569e-07
750.999999900869321.98261362079871e-079.91306810399357e-08
760.9999999534426369.31147276026831e-084.65573638013415e-08
770.9999999904055071.91889869745944e-089.59449348729721e-09
780.999999993289911.34201782143454e-086.71008910717268e-09
790.9999999896380752.07238497873747e-081.03619248936873e-08
800.9999999910634071.78731856735111e-088.93659283675553e-09
810.999999986196682.76066403345250e-081.38033201672625e-08
820.9999999721946695.56106621715987e-082.78053310857993e-08
830.9999999633602697.32794625114006e-083.66397312557003e-08
840.9999999391705751.21658850164832e-076.08294250824162e-08
850.9999999411979961.17604007257742e-075.88020036288711e-08
860.9999999715022335.69955344438824e-082.84977672219412e-08
870.999999992516321.49673589763533e-087.48367948817664e-09
880.9999999989821982.03560455669455e-091.01780227834727e-09
890.999999999471341.05732020661709e-095.28660103308545e-10
900.9999999998172863.65428758537997e-101.82714379268999e-10
910.9999999993547491.29050230571643e-096.45251152858214e-10
920.9999999994520171.09596565757279e-095.47982828786394e-10
930.9999999978339774.33204625386485e-092.16602312693242e-09
940.9999999944842681.10314635139605e-085.51573175698023e-09
950.9999999788599064.22801877642693e-082.11400938821346e-08
960.9999999426567551.14686490986503e-075.73432454932513e-08
970.9999997756006574.48798686708328e-072.24399343354164e-07
980.999999692841376.14317259871989e-073.07158629935994e-07
990.9999998064611543.87077692299481e-071.93538846149740e-07
1000.999999182406091.63518782144992e-068.17593910724959e-07
1010.9999967613680986.47726380356991e-063.23863190178495e-06
1020.9999901617723871.96764552260977e-059.83822761304886e-06
1030.9999652064543026.95870913961568e-053.47935456980784e-05
1040.9998788308415860.000242338316828570.000121169158414285
1050.999565086480470.0008698270390597820.000434913519529891
1060.9990041543225340.001991691354932030.000995845677466013
1070.9971776603355260.005644679328948110.00282233966447406
1080.9913462726936650.01730745461266950.00865372730633476
1090.9930630620686610.01387387586267790.00693693793133896
1100.9846263253259070.03074734934818550.0153736746740927


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level480.539325842696629NOK
5% type I error level610.685393258426966NOK
10% type I error level650.730337078651685NOK