Multiple Linear Regression - Estimated Regression Equation
Textiel[t] = -12.9038582451785 -0.164143076568454Voedingsmiddelen[t] + 0.0879466938746709Tabaksproducten[t] + 0.0924796096098854Kleding[t] -0.066575303047671Leer[t] + 0.503824865167603Hout[t] + 0.509904599253675Papier[t] + 0.122872141783344Uitgeverijen[t] + 0.0580122768636015Cokes[t] -0.286356682733116Chemische[t] + 0.48877492586319Rubber[t] -0.242068692402801Nietmetaalhoudende[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-12.903858245178510.867436-1.18740.237610.118805
Voedingsmiddelen-0.1641430765684540.088691-1.85070.0668680.033434
Tabaksproducten0.08794669387467090.0353922.48490.014450.007225
Kleding0.09247960960988540.0328272.81720.0057360.002868
Leer-0.0665753030476710.025898-2.57070.0114730.005737
Hout0.5038248651676030.0906415.558500
Papier0.5099045992536750.1347413.78430.000250.000125
Uitgeverijen0.1228721417833440.0505062.43280.0165790.00829
Cokes0.05801227686360150.0520721.11410.2676540.133827
Chemische-0.2863566827331160.071089-4.02810.0001035.2e-05
Rubber0.488774925863190.1094624.46531.9e-051e-05
Nietmetaalhoudende-0.2420686924028010.055-4.40122.5e-051.2e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.941018488927516
R-squared0.885515796503426
Adjusted R-squared0.874170515075837
F-TEST (value)78.0514614957112
F-TEST (DF numerator)11
F-TEST (DF denominator)111
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.95643510690689
Sum Squared Residuals2726.85363555668


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1102102.523561423125-0.523561423124545
29996.43098435433362.56901564566639
3108110.129556764131-2.12955676413052
49292.2453553796106-0.245355379610605
59995.40357129750923.59642870249083
610298.75639565069423.24360434930583
78788.1438684297205-1.14386842972053
87180.2560906223946-9.25609062239456
9105101.5770242323953.4229757676047
10115109.2921058466855.707894153315
1110394.92040605515818.07959394484194
127576.7256812076075-1.72568120760754
139794.31467012643062.68532987356936
149591.27719176574723.72280823425279
1599101.807530557236-2.80753055723601
1610094.86346628005445.13653371994562
179290.29002266322641.70997733677363
189498.7733513024597-4.77335130245972
198982.21582131943556.78417868056454
206772.2641109232101-5.26411092321011
21109100.4323703423448.56762965765579
22113108.4054194151764.59458058482427
2310696.77451158899429.22548841100581
247879.0032312308418-1.00323123084184
2510298.11198878976113.88801121023889
269795.07862198383341.9213780161666
279697.8201535339983-1.82015353399829
289998.16167640067230.838323599327686
298692.9296683856453-6.92966838564526
309298.6947420382733-6.69474203827331
318687.6102717132191-1.61027171321906
326272.1042276544752-10.1042276544752
33105105.421524304635-0.421524304634902
34108107.9768700458130.0231299541873009
359688.9839044368257.01609556317502
368080.4986162471762-0.49861624717617
379594.29126087800450.708739121995458
389493.5042545667350.495745433265027
39108114.59373900963-6.59373900962952
4097106.677773958203-9.67777395820278
418991.3900532511901-2.3900532511901
42107107.634978379288-0.634978379288013
438779.85565986997647.14434013002357
447073.5704964378432-3.57049643784325
45111106.9267063915434.07329360845654
4610595.61485361269799.38514638730213
479989.67859385587329.32140614412677
488482.85982979969511.14017020030485
498794.1721938181004-7.17219381810044
509293.4730332469579-1.4730332469579
5198103.416624913352-5.41662491335243
5295100.044280194186-5.04428019418638
538590.5980920896013-5.59809208960128
54100101.0143879893-1.01438798929996
557976.40811785101492.59188214898511
566676.8752865061516-10.8752865061516
57105105.920530435157-0.920530435157494
589696.0737661308267-0.0737661308266892
5910395.5312458262717.46875417372902
608383.4893015286931-0.489301528693106
619194.4989209062629-3.49892090626291
629592.76460004521132.23539995478866
63109111.469218179329-2.46921817932946
649294.8036032991486-2.80360329914858
6599102.861737602515-3.8617376025147
66110106.9870303719063.01296962809401
678878.98480137130189.01519862869817
687378.748010865064-5.74801086506398
69111105.8124338999815.18756610001863
70112107.9139687099394.08603129006117
71111102.7088429504928.29115704950812
728483.67397006837730.326029931622705
73102100.8824612207721.11753877922809
74102100.3435519592151.65644804078456
75114117.457008935539-3.45700893553948
769996.72840856989872.27159143010127
77100103.980364360144-3.98036436014392
78110122.245206708267-12.2452067082669
799391.08424180581221.9157581941878
807783.8881993661682-6.88819936616817
81108106.3188527640411.68114723595922
82120119.4990103054740.500989694525774
83106101.2056548471964.79434515280382
847873.64377112439814.35622887560188
85100102.910080118945-2.91008011894507
8610298.76183406181993.23816593818012
879797.4339224251858-0.433922425185823
88101103.94480618871-2.94480618870972
898991.0902466121503-2.09024661215033
909397.1970698306748-4.19706983067482
918983.22748905136655.7725109486335
926260.28251715580751.71748284419254
939692.62313887662493.3768611233751
949594.16066676925030.839333230749726
958073.16987255728336.83012744271674
966762.3781571902824.62184280971798
977175.3200941359417-4.3200941359417
987374.463768276944-1.46376827694399
998180.5401311738460.459868826153944
1007781.6669821894091-4.66698218940912
1016870.2873790631904-2.28737906319038
1027782.6662729046161-5.66627290461611
1037367.40785349944335.5921465005567
1045457.9408107845255-3.94081078452553
1058587.6182973906515-2.61829739065148
1068681.85054496215034.14945503784971
1077981.3722394037192-2.37223940371916
1086768.8467583143929-1.8467583143929
1097276.5620820806383-4.56208208063834
1107673.7048208965292.29517910347103
1119091.5559099099643-1.55590990996428
1128484.0520305803493-0.0520305803493067
1137574.14013012932220.859869870677827
1149092.0705505840995-2.07055058409951
1157766.878805020736210.1211949792638
1166062.7140485150546-2.71404851505456
1179289.63787622969112.36212377030886
1188884.00112098068233.99887901931765
1198383.0540205752193-0.0540205752192901
1206976.6083344343238-7.60833443432377
1217379.3303756364705-6.33037563647052
1227880.9902347448782-2.99023474487818
1239291.20123165551860.79876834448144


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
150.1478021249777070.2956042499554150.852197875022293
160.06551570349411020.131031406988220.93448429650589
170.05711174583728870.1142234916745770.942888254162711
180.5257402432619850.9485195134760290.474259756738015
190.473904962637990.947809925275980.52609503736201
200.5391599351948870.9216801296102260.460840064805113
210.5018300546825420.9963398906349160.498169945317458
220.4698525726160050.9397051452320090.530147427383995
230.448850457717760.897700915435520.55114954228224
240.4242540800942960.8485081601885930.575745919905703
250.4749896111650910.9499792223301810.525010388834909
260.4439194474128130.8878388948256270.556080552587187
270.4060000151930030.8120000303860070.593999984806997
280.3425357985683280.6850715971366560.657464201431672
290.5864023209942960.8271953580114080.413597679005704
300.7553782943534390.4892434112931210.244621705646561
310.706347009223430.587305981553140.29365299077657
320.7322503687279790.5354992625440430.267749631272021
330.6850407740430080.6299184519139830.314959225956992
340.6269138948640.7461722102720.373086105136
350.7020416842922170.5959166314155670.297958315707783
360.6502091528684490.6995816942631020.349790847131551
370.5984813147949080.8030373704101850.401518685205092
380.5479687362956570.9040625274086860.452031263704343
390.6019423204366030.7961153591267940.398057679563397
400.7523120912025690.4953758175948620.247687908797431
410.7032926701488380.5934146597023240.296707329851162
420.6607829552042910.6784340895914180.339217044795709
430.7750288250563910.4499423498872170.224971174943609
440.757126770431390.4857464591372190.24287322956861
450.7382553235056260.5234893529887490.261744676494375
460.8939296755380530.2121406489238940.106070324461947
470.9518801982190990.09623960356180230.0481198017809011
480.9429274923544210.1141450152911590.0570725076455794
490.9593797413536640.08124051729267120.0406202586463356
500.9494069867902290.1011860264195430.0505930132097715
510.9448770077095380.1102459845809230.0551229922904615
520.9448385496046490.1103229007907020.0551614503953511
530.9367812902872980.1264374194254050.0632187097127023
540.9171115827350710.1657768345298590.0828884172649293
550.916376360972530.167247278054940.0836236390274698
560.9532825831879390.09343483362412250.0467174168120613
570.9391269423845420.1217461152309160.0608730576154582
580.9215419423240120.1569161153519770.0784580576759883
590.9530582777128120.09388344457437510.0469417222871875
600.9385480195807310.1229039608385370.0614519804192685
610.9242853522935710.1514292954128590.0757146477064295
620.916918328912330.1661633421753390.0830816710876695
630.8950092669032440.2099814661935120.104990733096756
640.8707236102447060.2585527795105890.129276389755294
650.8476670701843010.3046658596313970.152332929815699
660.8483631658347060.3032736683305880.151636834165294
670.9521394265594090.09572114688118240.0478605734405912
680.9491400826934450.101719834613110.0508599173065549
690.9702318607729410.05953627845411770.0297681392270588
700.9784880471288890.04302390574222210.021511952871111
710.9891868899440920.02162622011181590.010813110055908
720.9903156929308320.0193686141383360.00968430706916801
730.986106950432870.02778609913425910.0138930495671296
740.9865447488776390.02691050224472110.0134552511223606
750.982423428309610.03515314338078050.0175765716903902
760.9786830215934010.0426339568131980.021316978406599
770.9733001516163540.05339969676729280.0266998483836464
780.988080049769760.02383990046047980.0119199502302399
790.9866011452806640.02679770943867210.013398854719336
800.9877464341794090.02450713164118190.0122535658205909
810.9856782343683230.02864353126335360.0143217656316768
820.9837777264625890.03244454707482270.0162222735374113
830.9794631786087420.04107364278251680.0205368213912584
840.9813118750506790.03737624989864260.0186881249493213
850.9726575106795640.05468497864087120.0273424893204356
860.9772790285360510.04544194292789880.0227209714639494
870.9858232762476360.02835344750472810.0141767237523641
880.9786421491822040.04271570163559220.0213578508177961
890.9693213735414870.06135725291702540.0306786264585127
900.96260363129760.07479273740480040.0373963687024002
910.9505853268094530.09882934638109360.0494146731905468
920.9594977318778730.08100453624425350.0405022681221267
930.9413958740358220.1172082519283560.0586041259641782
940.9306190404872720.1387619190254570.0693809595127283
950.9098474925668760.1803050148662480.0901525074331238
960.8831596627460320.2336806745079360.116840337253968
970.8585283141682220.2829433716635560.141471685831778
980.8718412141825070.2563175716349870.128158785817493
990.8465571033902050.306885793219590.153442896609795
1000.7994175023108280.4011649953783450.200582497689172
1010.7366637123175250.526672575364950.263336287682475
1020.8449483661913030.3101032676173930.155051633808697
1030.7732599591335150.453480081732970.226740040866485
1040.8024299000134130.3951401999731740.197570099986587
1050.7062951711376980.5874096577246040.293704828862302
1060.6494842198358590.7010315603282830.350515780164141
1070.5183419570139870.9633160859720260.481658042986013
1080.3616404134993870.7232808269987750.638359586500613


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level170.180851063829787NOK
10% type I error level290.308510638297872NOK