Multiple Linear Regression - Estimated Regression Equation
koers-nyrstar[t] = + 0.470311002831475 + 0.00171388893656082`Zink-prijs`[t] + 0.00141340764409491`Lood-prijs`[t] + 0.128734027006698`NYSE-eindkoers-vorige-dag`[t] -2.50551896362825`Rente-op-LT-leningen-in-%`[t] -0.0458395501776176`Conjunctuurenquete `[t] + 0.0981553451240848M1[t] + 0.160386902535726M2[t] + 0.0669640934359867M3[t] + 0.1296844837058M4[t] -0.031283661505102M5[t] -0.000687812078578053M6[t] -0.088556222969061M7[t] -0.170235352832043M8[t] -0.103138880917442M9[t] -0.0433015164244993M10[t] + 0.0406707117805078M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.4703110028314750.809860.58070.5621730.281087
`Zink-prijs`0.001713888936560820.0005463.13770.0020.001
`Lood-prijs`0.001413407644094910.0004153.40970.0008080.000404
`NYSE-eindkoers-vorige-dag`0.1287340270066980.0131449.794200
`Rente-op-LT-leningen-in-%`-2.505518963628250.325576-7.695600
`Conjunctuurenquete `-0.04583955017761760.017066-2.6860.0079320.003966
M10.09815534512408480.1609380.60990.5427260.271363
M20.1603869025357260.1608530.99710.3200990.160049
M30.06696409343598670.1608630.41630.6777190.338859
M40.12968448370580.1609280.80590.4214270.210713
M5-0.0312836615051020.160868-0.19450.8460360.423018
M6-0.0006878120785780530.160892-0.00430.9965940.498297
M7-0.0885562229690610.160916-0.55030.5828020.291401
M8-0.1702353528320430.160927-1.05780.2915940.145797
M9-0.1031388809174420.160933-0.64090.5224440.261222
M10-0.04330151642449930.160861-0.26920.7881060.394053
M110.04067071178050780.1609210.25270.800770.400385


Multiple Linear Regression - Regression Statistics
Multiple R0.955195833150033
R-squared0.912399079667185
Adjusted R-squared0.904343822625087
F-TEST (value)113.267531364779
F-TEST (DF numerator)16
F-TEST (DF denominator)174
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.44752475235394
Sum Squared Residuals34.8484422906852


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
111.7310.81151668506110.918483314938921
211.7510.72501226260751.02498773739251
311.3910.40196673418610.988033265813942
411.5410.32891016476131.21108983523866
59.6210.2908781055519-0.670878105551865
69.8210.4130353955693-0.593035395569273
79.9410.2461385709797-0.306138570979669
89.910.0836602420698-0.183660242069775
99.810.2759495953498-0.475949595349817
109.8610.3189553700776-0.458955370077594
1110.510.17595052307010.324049476929866
1210.3310.00568535393550.324314646064535
1310.169.889701262950250.270298737049754
149.919.692250534069820.217749465930182
159.969.54035244212770.419647557872297
1610.039.83979549902350.190204500976504
179.559.80688077990111-0.256880779901105
189.519.93283402796397-0.422834027963967
199.89.98329724350792-0.183297243507923
2010.089.864470012838020.215529987161982
2110.29.693438104753130.506561895246867
2210.239.886902416354730.343097583645266
2310.210.2111821848045-0.0111821848044533
2410.0710.1150268028644-0.0450268028643546
2510.0110.1283329386444-0.118332938644387
2610.0510.018002775970.0319972240299933
279.9210.1271924503755-0.207192450375495
2810.0310.1258491140287-0.0958491140286924
2910.1810.02253160373040.15746839626965
3010.19.974934859061570.125065140938427
3110.1610.7043701182734-0.544370118273447
3210.1510.6890709204263-0.539070920426282
3310.1310.6992672991947-0.569267299194714
3410.0910.9548536337588-0.864853633758794
3510.1811.1068751345876-0.926875134587639
3610.0611.0660356756888-1.00603567568877
379.6510.1179670370563-0.467967037056333
389.7410.0868134620703-0.346813462070282
399.539.83388536865625-0.303885368656252
409.510.0321791260946-0.532179126094647
4199.72345900548243-0.723459005482431
429.159.63417790751336-0.484177907513363
439.329.70273640665487-0.382736406654873
449.629.68101074390496-0.0610107439049664
459.599.50360649422870.0863935057713036
469.379.38799081013808-0.0179908101380854
479.359.5371480470467-0.187148047046695
489.329.50935073796686-0.189350737966857
499.499.80970480341725-0.319704803417253
509.529.90519240507563-0.385192405075634
519.599.69060130772455-0.100601307724551
529.359.4505905320861-0.100590532086101
539.29.24502533322068-0.0450253332206761
549.579.27311652866610.296883471333902
559.789.289557206029830.490442793970172
569.799.126672850268050.66332714973195
579.579.394842330669750.175157669330247
589.539.426595121006520.103404878993478
599.659.376078207702160.273921792297839
609.369.325185453049710.0348145469502888
619.49.042744749210150.357255250789849
629.329.050129435133830.26987056486617
639.318.980043338541670.329956661458325
649.199.031171472746280.158828527253717
659.399.040824189830590.349175810169411
669.289.140198522760810.139801477239191
679.289.104971787948770.17502821205123
689.319.085038825425490.224961174574511
699.289.141836575179560.138163424820444
709.319.202131265421330.107868734578667
719.359.49527661329468-0.145276613294681
729.199.164013316238190.0259866837618126
739.079.3095796718128-0.239579671812798
748.969.5273611688599-0.567361168859904
758.699.48225946418887-0.792259464188875
768.589.55520242416515-0.975202424165153
778.569.35663519279137-0.796635192791367
788.479.32168117364273-0.85168117364273
798.469.08077621290949-0.620776212909493
808.759.16686368539998-0.41686368539998
818.959.22177811881421-0.271778118814212
829.339.006465216633040.323534783366956
839.519.025870226849090.484129773150912
849.5618.796443543945180.764556456054819
859.949.071048059276550.868951940723446
869.99.274632106053240.625367893946762
879.2759.174136396255250.100863603744752
889.569.160814613934030.399185386065974
899.7798.973843418021180.805156581978824
909.7469.101080091479240.644919908520757
919.9919.218919807629690.77208019237031
929.989.347701340634710.632298659365295
9310.1959.542447865390160.652552134609839
9410.319.705004879279810.604995120720189
9510.259.823434501147480.426565498852524
969.8719.70151142404320.1694885759568
9710.0610.00551146344710.0544885365529056
989.8949.96895713396508-0.0749571339650809
999.599.497959805732980.0920401942670233
1009.649.001462006168940.638537993831059
1019.899.097281633082060.792718366917944
1029.538.923777337588680.606222662411316
1039.3888.961716639733620.426283360266379
1049.168.959623971546150.200376028453855
1059.4189.224744605401150.193255394598849
1069.579.230800271938560.339199728061443
1079.8579.391617095844010.465382904155992
1089.8779.298071894624290.578928105375711
1099.769.408893007110110.351106992889895
1109.769.610803719385210.149196280614794
1119.6959.367438074346760.32756192565324
1129.4759.418176367184560.0568236328154434
1139.2629.034404038761840.22759596123816
1149.0979.019920860723460.077079139276544
1158.558.59179899370941-0.0417989937094088
1168.168.33741455584373-0.177414555843734
1177.5328.01872712084923-0.486727120849235
1187.3257.66559747825358-0.340597478253582
1196.7496.88292794479699-0.133927944796993
1207.137.33987581723981-0.209875817239808
1216.9957.25176452441999-0.256764524419989
1227.3467.65768583714209-0.311685837142088
1237.737.687372603080180.0426273969198215
1247.8377.779586252052360.0574137479476419
1257.5147.300890903409520.213109096590484
1267.587.496985281836880.0830147181631209
1276.836.97026649121758-0.140266491217578
1286.6176.94770498826007-0.330704988260066
1296.7156.85793751373935-0.142937513739348
1306.637.16202418758732-0.532024187587325
1316.8917.4477753010583-0.556775301058296
1327.0027.41060640642365-0.408606406423648
1337.097.7354364279641-0.645436427964097
1347.367.89808052644096-0.538080526440962
1357.4777.88049991876462-0.403499918764622
1367.8268.0289770024401-0.202977002440097
1377.797.92858587033793-0.138585870337928
1387.5787.6556195655335-0.0776195655334987
1397.2047.36543233412228-0.161432334122282
1407.1987.50356466075812-0.305564660758117
1417.6857.64376743512980.0412325648702015
1427.7957.61406142963790.180938570362096
1437.467.6011898358595-0.141189835859505
1447.2747.59561880619321-0.321618806193206
1457.337.92478016266551-0.594780162665506
1467.6557.8467355476029-0.191735547602895
1477.7677.84818982641775-0.0811898264177478
1487.847.698971522999250.141028477000746
1497.4247.316114470747580.10788552925242
1507.547.25624793684980.283752063150199
1517.3516.817675275236180.533324724763823
1526.7356.576651074735470.158348925264534
1536.7776.444034642846770.332965357153234
1546.6796.212853595909450.466146404090553
1557.346.46923752474420.870762475255799
1566.9786.410232651157780.567767348842218
1576.926.37145945533310.548540544666898
1586.6286.085013629486710.542986370513295
1596.3856.191315778604890.193684221395108
1605.9846.31280673199654-0.328806731996542
1616.2686.043924084277950.224075915722053
1626.5966.20301317169130.392986828308705
1636.3956.387930622289580.00706937771041785
1646.7156.53159135799110.183408642008902
1656.8046.66590894990040.138091050099604
1666.9296.81898172085130.110018279148701
1676.8466.829115366707840.0168846332921595
1686.9926.766631201853510.225368798146487
1696.7746.80967685647817-0.0356768564781696
1706.756.654150607195990.0958493928040078
1716.4856.55098563695038-0.0659856369503793
1726.276.29556962339387-0.0255696233938693
1736.476.381076542402410.0889234575975886
1746.786.572519507672880.207480492327117
1756.716.43357275665760.276427243342401
1766.1416.45323795982391-0.312237959823906
1776.726.74243876622765-0.0224387662276512
1786.686.71705803751214-0.0370580375121356
1796.3716.67091096813284-0.299910968132837
1806.0976.60771091477603-0.510710914776027
1816.276.96088289515313-0.690882895153134
1826.4476.98917884894087-0.542178848940874
1836.376.90980085404659-0.539800854046588
1846.4467.03793754692465-0.591937546924646
1856.546.87464482845116-0.334644828451161
1866.3746.80185783144645-0.427857831446447
1876.336.62983953310006-0.299839533100059
1886.636.58172281007420.0482771899257987
1896.4986.79327458232561-0.295274582325611
1906.4856.81272456563983-0.327724565639833
1916.366.81941052435399-0.459410524353993


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.315426618150140.6308532363002810.68457338184986
210.3747820900158210.7495641800316420.625217909984179
220.4299736559372690.8599473118745370.570026344062731
230.3038399520252560.6076799040505130.696160047974744
240.2103141244486720.4206282488973430.789685875551328
250.1823129156693120.3646258313386240.817687084330688
260.1404859288341770.2809718576683540.859514071165823
270.137828864677340.275657729354680.86217113532266
280.09884504626868750.1976900925373750.901154953731312
290.4645408115804360.9290816231608730.535459188419564
300.7388382320745710.5223235358508580.261161767925429
310.7311247925049850.5377504149900310.268875207495015
320.6959163571192770.6081672857614470.304083642880723
330.6453883918403020.7092232163193960.354611608159698
340.6112805071936210.7774389856127570.388719492806379
350.6034310065651210.7931379868697590.396568993434879
360.5884664559108720.8230670881782560.411533544089128
370.5287738712338980.9424522575322050.471226128766102
380.4676078513929480.9352157027858960.532392148607052
390.4030149195551150.8060298391102290.596985080444886
400.3569259832749980.7138519665499950.643074016725003
410.3378620566696440.6757241133392890.662137943330356
420.3095471089488080.6190942178976160.690452891051192
430.276100318847880.5522006376957590.723899681152121
440.2300955151300430.4601910302600860.769904484869957
450.1864526569833320.3729053139666630.813547343016668
460.1588726914543690.3177453829087370.841127308545631
470.1457324682572510.2914649365145020.854267531742749
480.1258508043093190.2517016086186380.874149195690681
490.6604068014934710.6791863970130590.33959319850653
500.7164096090870550.567180781825890.283590390912945
510.6780945246973840.6438109506052330.321905475302616
520.6493326414348990.7013347171302010.350667358565101
530.6086378890295220.7827242219409550.391362110970478
540.5882959708235720.8234080583528570.411704029176428
550.5650894508328610.8698210983342780.434910549167139
560.5435418816307580.9129162367384840.456458118369242
570.4922086238449360.9844172476898730.507791376155064
580.4431644056352330.8863288112704660.556835594364767
590.392805903027120.7856118060542390.60719409697288
600.3527525936781510.7055051873563020.647247406321849
610.3323621857407430.6647243714814860.667637814259257
620.3067370999197380.6134741998394750.693262900080262
630.2704486299799610.5408972599599210.729551370020039
640.2400472676104950.4800945352209910.759952732389505
650.2278306191286060.4556612382572110.772169380871394
660.1932460362479870.3864920724959730.806753963752013
670.1632942236066220.3265884472132430.836705776393378
680.1412821226148920.2825642452297830.858717877385109
690.1195635818776230.2391271637552460.880436418122377
700.09833255674305240.1966651134861050.901667443256948
710.09968406837452720.1993681367490540.900315931625473
720.0885097091852090.1770194183704180.911490290814791
730.1105050777155170.2210101554310340.889494922284483
740.1601076242157270.3202152484314550.839892375784272
750.245117020348160.490234040696320.75488297965184
760.3817408154799720.7634816309599430.618259184520028
770.4940228420909490.9880456841818980.505977157909051
780.6664050483846460.6671899032307090.333594951615354
790.7857000131943080.4285999736113830.214299986805692
800.8273696294460840.3452607411078320.172630370553916
810.8586895682665140.2826208634669730.141310431733486
820.8606439969624250.278712006075150.139356003037575
830.8553943860735550.2892112278528910.144605613926445
840.8696228767911920.2607542464176150.130377123208808
850.9055715323316880.1888569353366250.0944284676683125
860.9149425822241920.1701148355516150.0850574177758076
870.9042068447091780.1915863105816430.0957931552908215
880.9025995040770550.194800991845890.097400495922945
890.9438972133638920.1122055732722160.0561027866361081
900.9583764741670860.08324705166582710.0416235258329136
910.9724388290074690.05512234198506210.027561170992531
920.9763232296430320.04735354071393680.0236767703569684
930.9826535280429530.03469294391409470.0173464719570473
940.9867754870162180.02644902596756490.0132245129837824
950.9867961814303680.02640763713926470.0132038185696323
960.9834505241642610.03309895167147740.0165494758357387
970.9792980068809090.04140398623818230.0207019931190912
980.9733382556115960.05332348877680760.0266617443884038
990.9656967609522130.06860647809557380.0343032390477869
1000.9723220990262530.05535580194749350.0276779009737468
1010.9843623688294980.03127526234100480.0156376311705024
1020.9845112984746660.0309774030506680.015488701525334
1030.9810196129712980.0379607740574030.0189803870287015
1040.9763171394934170.04736572101316670.0236828605065834
1050.9702048779603170.05959024407936670.0297951220396833
1060.9656907905279470.06861841894410490.0343092094720525
1070.9682426743357490.06351465132850110.0317573256642506
1080.9773061273720440.04538774525591090.0226938726279555
1090.9848799031320290.03024019373594130.0151200968679707
1100.9862930123736080.02741397525278410.013706987626392
1110.9913129538775470.01737409224490690.00868704612245345
1120.9932521863939790.01349562721204180.0067478136060209
1130.9950852276885850.009829544622829870.00491477231141494
1140.9964651124763070.007069775047385940.00353488752369297
1150.9982880106266710.003423978746658230.00171198937332912
1160.9994159071020720.001168185795856350.000584092897928174
1170.9997020915388710.0005958169222575030.000297908461128751
1180.9997888837170720.0004222325658562810.00021111628292814
1190.9998507960291280.0002984079417448960.000149203970872448
1200.9998228564118930.0003542871762136530.000177143588106826
1210.9997942774983850.0004114450032307670.000205722501615383
1220.9997372581048980.0005254837902031960.000262741895101598
1230.9997299010943160.0005401978113688570.000270098905684428
1240.999813910806140.0003721783877202610.00018608919386013
1250.9997515968981710.0004968062036586120.000248403101829306
1260.9996999228066260.0006001543867479760.000300077193373988
1270.9995509422426430.0008981155147135170.000449057757356758
1280.9994819252498830.001036149500233060.00051807475011653
1290.9994943367378310.001011326524338010.000505663262169007
1300.9997669440647830.0004661118704348020.000233055935217401
1310.9998020479345240.0003959041309512170.000197952065475608
1320.9998280038615820.0003439922768359840.000171996138417992
1330.9999243432990720.0001513134018555587.56567009277788e-05
1340.9999692096169866.15807660287947e-053.07903830143973e-05
1350.9999961118067347.77638653234047e-063.88819326617024e-06
1360.9999999471611711.056776571567e-075.28388285783501e-08
1370.9999998948608182.10278364478801e-071.05139182239401e-07
1380.9999997696785664.60642867825941e-072.30321433912971e-07
1390.9999996826970586.34605884284664e-073.17302942142332e-07
1400.9999996122406287.75518743753209e-073.87759371876605e-07
1410.9999991330925021.73381499525289e-068.66907497626443e-07
1420.999998515559222.96888155995675e-061.48444077997838e-06
1430.9999970190534435.96189311401489e-062.98094655700744e-06
1440.9999971781537075.64369258508935e-062.82184629254467e-06
1450.9999987912080242.41758395103517e-061.20879197551759e-06
1460.9999980772574313.84548513766787e-061.92274256883393e-06
1470.9999960082608567.98347828737386e-063.99173914368693e-06
1480.9999952467317449.50653651130403e-064.75326825565201e-06
1490.9999894780896542.10438206915513e-051.05219103457757e-05
1500.9999771756851224.56486297563678e-052.28243148781839e-05
1510.9999603144585377.93710829257772e-053.96855414628886e-05
1520.9999607831663677.84336672664157e-053.92168336332079e-05
1530.9999630802558197.3839488361271e-053.69197441806355e-05
1540.9999568656525288.62686949431953e-054.31343474715976e-05
1550.9999712436284915.75127430174894e-052.87563715087447e-05
1560.9999317399373080.0001365201253845346.82600626922671e-05
1570.9998481299305450.0003037401389104560.000151870069455228
1580.9997171587745420.0005656824509151960.000282841225457598
1590.999544784724690.0009104305506209460.000455215275310473
1600.9992515854693940.001496829061212540.000748414530606269
1610.9983007440228920.003398511954215510.00169925597710775
1620.997686160374340.004627679251320670.00231383962566033
1630.9951728231457260.009654353708548330.00482717685427417
1640.9922176864541290.01556462709174290.00778231354587144
1650.9840112543568720.03197749128625670.0159887456431283
1660.9711464737205450.05770705255890940.0288535262794547
1670.9477160122005460.1045679755989080.0522839877994539
1680.9475120699075340.1049758601849320.0524879300924658
1690.9303897325203870.1392205349592270.0696102674796134
1700.9009023816154160.1981952367691670.0990976183845837
1710.8402241279190280.3195517441619440.159775872080972


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level510.335526315789474NOK
5% type I error level680.447368421052632NOK
10% type I error level770.506578947368421NOK