Multiple Linear Regression - Estimated Regression Equation
BEL_20[t] = -2144.95629086107 + 0.0676640923599321Nikkei[t] + 0.393331506519843DJ_Indust[t] + 0.00173978490673361Goudprijs[t] + 3.92037673438888Conjunct_Seizoenzuiver[t] -11.2351720560286Cons_vertrouw[t] -29.5413432798274Alg_consumptie_index_BE[t] + 8.8153605202871Gem_rente_kasbon_1j[t] + 191.789136312232M1[t] + 223.981065857801M2[t] + 171.623779965858M3[t] + 137.037028842043M4[t] + 71.8640671295251M5[t] + 28.2582022074953M6[t] + 32.8134963863037M7[t] + 45.8338192955717M8[t] + 104.698425035446M9[t] + 128.178960193137M10[t] + 80.14170827084M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-2144.95629086107385.362656-5.566100
Nikkei0.06766409235993210.0178213.79690.0002370.000119
DJ_Indust0.3933315065198430.0395579.943300
Goudprijs0.001739784906733610.009630.18070.8569570.428478
Conjunct_Seizoenzuiver3.920376734388888.1658370.48010.6320880.316044
Cons_vertrouw-11.23517205602866.989126-1.60750.1107310.055365
Alg_consumptie_index_BE-29.541343279827431.431623-0.93990.3492940.174647
Gem_rente_kasbon_1j8.815360520287145.6579690.19310.8472480.423624
M1191.789136312232127.8975411.49960.1365190.068259
M2223.981065857801128.8320211.73860.0848370.042419
M3171.623779965858128.4698661.33590.1842640.092132
M4137.037028842043128.726321.06460.2893440.144672
M571.8640671295251126.6608280.56740.5715860.285793
M628.2582022074953126.54280.22330.8236980.411849
M732.8134963863037126.5166680.25940.7958290.397914
M845.8338192955717126.4035280.36260.7175820.358791
M9104.698425035446126.4681340.82790.4094920.204746
M10128.178960193137126.8548351.01040.3144440.157222
M1180.14170827084126.4202140.63390.5274070.263703


Multiple Linear Regression - Regression Statistics
Multiple R0.93110913758741
R-squared0.86696422609877
Adjusted R-squared0.845772686893265
F-TEST (value)40.9108662514488
F-TEST (DF numerator)18
F-TEST (DF denominator)113
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation295.700039428375
Sum Squared Residuals9880552.00492752


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13484.742579.45636359244905.283636407559
23411.132656.71408740409754.415912595913
33288.182859.59098489657428.589015103434
43280.373200.6418010232579.7281989767542
53173.953302.67051506728-128.720515067284
63165.263354.5579594172-189.297959417197
73092.713472.35210478824-379.642104788238
83053.053432.33874170369-379.288741703687
93181.963341.60356150114-159.643561501143
102999.933242.62656716889-242.696567168887
113249.573375.95826475764-126.388264757642
123210.523460.44554134794-249.925541347943
133030.293683.21866722462-652.928667224617
142803.473456.82022612727-653.350226127274
152767.633366.52757102557-598.89757102557
162882.63510.26558272827-627.665582728267
172863.363113.46922817847-250.109228178474
182897.063033.51288242301-136.452882423011
193012.613076.49040451252-63.880404512523
203142.953152.90538203494-9.95538203494452
213032.933237.11116296212-204.181162962117
223045.782954.5937837523691.1862162476395
233110.522955.83609016701154.683909832988
243013.242860.77610223275152.463897767249
252987.13031.44686707431-44.3468670743118
262995.553116.68280216051-121.132802160511
272833.182749.6368723412983.5431276587118
282848.962828.4840251802220.4759748197811
292794.832926.45462133852-131.624621338521
302845.262891.99453701445-46.7345370144545
312915.022716.72580366919198.294196330811
322892.632680.02932991049212.600670089507
332604.422168.31698640912436.103013590882
342641.652388.50652397270253.143476027296
352659.812592.2187774613267.5912225386759
362638.532504.93920126638133.590798733624
372720.252572.93897503594147.311024964062
382745.882561.19964471573184.680355284267
392735.72848.65885145413-112.958851454135
402811.72735.6399080186576.0600919813515
412799.432662.96710702570136.462892974295
422555.282359.18347506081196.096524939194
432304.981968.7464401317336.233559868299
442214.951982.05277085516232.897229144841
452065.811806.97451917652258.835480823477
461940.491742.75602432244197.733975677561
4720421943.2825446250298.7174553749822
481995.371848.86606251371146.503937486285
491946.812019.78209257038-72.9720925703787
501765.91860.51912010206-94.6191201020627
511635.251843.73527445071-208.485274450707
521833.421856.02777959345-22.6077795934523
531910.431918.22270717168-7.7927071716789
541959.672092.05383014939-132.383830149386
551969.62214.58733097342-244.987330973424
562061.412276.26024930731-214.850249307305
572093.482413.74489181949-320.264891819488
582120.882641.04464729918-520.164647299178
592174.562490.9594562507-316.399456250702
602196.722568.50360909735-371.783609097352
612350.442932.15984902518-581.719849025183
622440.252958.95074323101-518.700743231007
632408.642883.48273114631-474.842731146307
642472.812915.08659385683-442.276593856826
652407.62667.04638878704-259.446388787044
662454.622704.22626833340-249.606268333404
672448.052671.88596622675-223.835966226745
682497.842583.81295070158-85.9729507015778
692645.642726.40670648942-80.7667064894167
702756.762682.7179124424574.0420875575543
712849.272805.1628572773744.1071427226338
722921.442824.0205776915497.4194223084617
732981.852990.28747468154-8.43747468153495
743080.583055.9043740443124.6756259556898
753106.222976.87017279786129.349827202144
763119.312789.45127110106329.858728898939
773061.262811.75691855993249.503081440072
783097.312823.54184140404273.768158595962
793161.692863.17428686712298.515713132881
803257.162903.84227118056353.317728819438
813277.013065.48173806899211.528261931011
823295.322997.15267626549298.167323734507
833363.993175.85561796069188.134382039313
843494.173187.6754777711306.4945222289
853667.033394.81020208005272.219797919954
863813.063495.58051912550317.479480874497
873917.963581.22615679587336.733843204125
883895.513636.16373300585259.34626699415
893801.063575.15715061151225.902849388493
903570.123268.03627362533302.083726374674
913701.613314.16049180479387.449508195215
923862.273452.34051051968409.929489480321
933970.13637.11851587557332.981484124428
944138.523829.47152166292309.048478337083
954199.753839.33276552868360.417234471317
964290.893983.03642805938307.853571940624
974443.914180.56800892346263.34199107654
984502.644261.97281013844240.667189861562
994356.984043.25522638083313.724773619173
1004591.274197.53544176756393.734558232437
1014696.964418.28019013005278.679809869947
1024621.44449.73439377353171.665606226466
1034562.844543.2600979212419.5799020787571
1044202.524294.85185672821-92.331856728207
1054296.494451.49397509008-155.003975090081
1064435.234614.76282125114-179.532821251138
1074105.184258.28398726484-153.103987264843
1084116.684198.58153731595-81.9015373159546
1093844.493948.93651530707-104.446515307073
1103720.983884.01335639170-163.033356391705
1113674.43655.1879018088219.2120981911797
1123857.623888.62172065534-31.0017206553357
1133801.063932.53969974938-131.479699749383
1143504.373598.55387657899-94.1838765789923
1153032.63267.05003163803-234.450031638030
1163047.033343.28541168167-296.255411681673
1172962.343134.92070421712-172.580704217118
1182197.822287.67174210778-89.8517421077805
1192014.452047.69089771185-33.2408977118458
1201862.831973.38280000864-110.552800008640
1211905.412028.71498448502-123.304984485016
1221810.991782.0723165593728.9176834406316
1231670.071586.0382569020584.031743097952
1241864.441900.09214306953-35.652143069534
1252052.022033.3954733804218.6245266195780
1262029.62124.55466221985-94.9546622198514
1272070.832164.107041467-93.277041467002
1282293.412423.50052537671-130.090525376711
1292443.272590.27723839043-147.007238390434
1302513.172704.24577975465-191.075779754655
1312466.922751.43874099488-284.518740994878
1322502.662832.82266269525-330.162662695255


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
220.05102747328910650.1020549465782130.948972526710893
230.08837635895222770.1767527179044550.911623641047772
240.1230708197579110.2461416395158210.87692918024209
250.07341432770928750.1468286554185750.926585672290712
260.05232529242358590.1046505848471720.947674707576414
270.02597072927039700.05194145854079410.974029270729603
280.07023094594280510.1404618918856100.929769054057195
290.08895347093675270.1779069418735050.911046529063247
300.08416839274758560.1683367854951710.915831607252414
310.05411160358726690.1082232071745340.945888396412733
320.03856203521194320.07712407042388630.961437964788057
330.08173882750794750.1634776550158950.918261172492052
340.06055737404505050.1211147480901010.93944262595495
350.04180023844520250.0836004768904050.958199761554797
360.03804589514735940.07609179029471870.96195410485264
370.02601003186372860.05202006372745710.973989968136271
380.02183203975430410.04366407950860820.978167960245696
390.0202159549966840.0404319099933680.979784045003316
400.03631424382347690.07262848764695390.963685756176523
410.02948034781022070.05896069562044130.97051965218978
420.02624586436268940.05249172872537880.97375413563731
430.03359349269670910.06718698539341820.96640650730329
440.0457173992804120.0914347985608240.954282600719588
450.0712759788485840.1425519576971680.928724021151416
460.2030778613560870.4061557227121730.796922138643913
470.31212029723160.62424059446320.6878797027684
480.2908620209493540.5817240418987080.709137979050646
490.2517475208108660.5034950416217320.748252479189134
500.2171800989743350.4343601979486710.782819901025664
510.1778350900527310.3556701801054630.822164909947269
520.2532022269094870.5064044538189750.746797773090513
530.2720466759062660.5440933518125320.727953324093734
540.3071064110356420.6142128220712840.692893588964358
550.2674122737059060.5348245474118120.732587726294094
560.2458137178050620.4916274356101250.754186282194938
570.2378974835278510.4757949670557020.762102516472149
580.3125418711406390.6250837422812770.687458128859361
590.3185173037880910.6370346075761810.681482696211909
600.3023500672766190.6047001345532380.697649932723381
610.3510023897824850.702004779564970.648997610217515
620.3807098461017330.7614196922034660.619290153898267
630.6056011397088330.7887977205823330.394398860291167
640.9372915110888270.1254169778223460.062708488911173
650.9913339218938060.01733215621238780.00866607810619392
660.997336099395610.005327801208779410.00266390060438971
670.9996713122236630.0006573755526745870.000328687776337293
680.9998717882328520.0002564235342964550.000128211767148228
690.9999463169560170.0001073660879655015.36830439827507e-05
700.9999766983628294.66032743417790e-052.33016371708895e-05
710.9999865288991432.6942201715028e-051.3471100857514e-05
720.999989177708352.16445833012253e-051.08222916506127e-05
730.9999966897899586.62042008388212e-063.31021004194106e-06
740.9999993997294271.20054114659967e-066.00270573299837e-07
750.9999999664452966.71094070998668e-083.35547035499334e-08
760.999999990138791.97224193762624e-089.86120968813121e-09
770.9999999985076872.98462531900296e-091.49231265950148e-09
780.9999999990885071.82298529599818e-099.11492647999088e-10
790.999999998930132.13973875416854e-091.06986937708427e-09
800.9999999995887668.22467335491315e-104.11233667745657e-10
810.9999999996541126.91776473647855e-103.45888236823928e-10
820.9999999996676156.64770964451768e-103.32385482225884e-10
830.9999999992571971.48560656561539e-097.42803282807697e-10
840.9999999981730983.65380385217734e-091.82690192608867e-09
850.9999999966151356.7697299322667e-093.38486496613335e-09
860.999999995872758.25450061269767e-094.12725030634884e-09
870.9999999977880874.42382545404557e-092.21191272702278e-09
880.99999999952189.56400530839021e-104.78200265419511e-10
890.9999999996909336.18133881016318e-103.09066940508159e-10
900.9999999998614152.77171001815779e-101.38585500907890e-10
910.9999999994699431.06011401170186e-095.30057005850930e-10
920.9999999996883756.23250090768028e-103.11625045384014e-10
930.9999999988214992.35700266382858e-091.17850133191429e-09
940.9999999957278588.54428427075783e-094.27214213537891e-09
950.999999987769632.44607381196074e-081.22303690598037e-08
960.9999999860160742.79678517551275e-081.39839258775638e-08
970.9999999657908346.84183328353116e-083.42091664176558e-08
980.9999998530718242.93856351688199e-071.46928175844099e-07
990.9999995927963848.14407231359573e-074.07203615679786e-07
1000.9999985087300882.98253982492740e-061.49126991246370e-06
1010.999995217024959.56595010163853e-064.78297505081927e-06
1020.999985799546882.84009062391987e-051.42004531195994e-05
1030.9999612850746887.74298506231637e-053.87149253115818e-05
1040.999874422253030.0002511554939380710.000125577746969035
1050.9995696660500910.0008606678998172840.000430333949908642
1060.9995259614309940.0009480771380117420.000474038569005871
1070.9982377805662480.003524438867504530.00176221943375226
1080.9954462411228770.009107517754245360.00455375887712268
1090.9909272179675230.01814556406495390.00907278203247697
1100.9826699472300760.0346601055398480.017330052769924


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level430.48314606741573NOK
5% type I error level480.539325842696629NOK
10% type I error level580.651685393258427NOK