Multiple Linear Regression - Estimated Regression Equation
Textiel[t] = + 5473.28781057935 -2.73884297294589Jaar[t] -0.0131404014908397Voedingsmiddelen[t] + 0.0539397409470382Tabaksproducten[t] -0.00183893461659913Kleding[t] -0.0425609080232513Leer[t] + 0.338544802310588Hout[t] + 0.510298529548832Papier[t] + 0.0555306393401868Uitgeverijen[t] -0.0415552936278247Cokes[t] -0.206153169653918Chemische[t] + 0.708359840363173Rubber[t] -0.304606231203332Nietmetaalhoudende[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)5473.287810579351056.5660955.18031e-061e-06
Jaar-2.738842972945890.527441-5.19271e-060
Voedingsmiddelen-0.01314040149083970.084974-0.15460.8773890.438694
Tabaksproducten0.05393974094703820.0325281.65830.100110.050055
Kleding-0.001838934616599130.034688-0.0530.9578170.478909
Leer-0.04256090802325130.023769-1.79060.0761020.038051
Hout0.3385448023105880.0875873.86520.0001889.4e-05
Papier0.5102985295488320.12134.20695.3e-052.7e-05
Uitgeverijen0.05553063934018680.0472811.17450.2427390.12137
Cokes-0.04155529362782470.050647-0.82050.4137160.206858
Chemische-0.2061531696539180.065835-3.13140.0022290.001115
Rubber0.7083598403631730.1072326.605900
Nietmetaalhoudende-0.3046062312033320.050957-5.977700


Multiple Linear Regression - Regression Statistics
Multiple R0.952918821111305
R-squared0.908054279628159
Adjusted R-squared0.898023837405776
F-TEST (value)90.5298350258034
F-TEST (DF numerator)12
F-TEST (DF denominator)110
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.4619792639936
Sum Squared Residuals2190.01848475398


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1102104.230939449538-2.23093944953827
29995.7508960444233.249103955577
3108110.724084052561-2.72408405256141
49295.2683864567749-3.26838645677491
59997.65886320130761.34113679869237
6102100.7230771531441.27692284685592
78791.7649064298749-4.76490642987489
87179.5206428992244-8.52064289922439
9105100.4331764842914.56682351570891
10115108.6864186337576.31358136624325
1110397.05796336518495.94203663481512
127577.8412017539099-2.84120175390985
139795.1995738216351.80042617836496
149590.15185910905964.8481408909404
1599101.015112942942-2.0151129429421
1610096.38694841933613.61305158066389
179290.44442826209571.55557173790434
189498.0322824641633-4.03228246416328
198984.75098607148384.24901392851624
206770.3613204719351-3.36132047193506
2110996.805175417177312.1948245828227
22113108.8623644095284.13763559047188
2310695.546176260860910.4538237391391
247877.93277204785270.0672279521472916
2510297.91619937100724.08380062899276
269795.19166119270381.80833880729624
279695.82912239346620.170877606533833
289997.23419790687911.76580209312087
298690.7532965114915-4.75329651149152
309298.8034059889065-6.80340598890652
318689.5792708191181-3.57927081911812
326271.6075605146455-9.6075605146455
33105104.2186942260140.781305773985813
34108109.091744286954-1.09174428695353
359690.65880590487585.34119409512417
368082.5614930135401-2.56149301354008
379593.64267434226081.3573256577392
389492.28303421934411.71696578065588
39108113.763815062843-5.76381506284269
4097104.620109412719-7.62010941271922
418990.2345372142913-1.2345372142913
42107108.977583704425-1.9775837044254
438782.88325755944254.11674244055753
447074.4202126527207-4.42021265272074
45111107.5370539177333.46294608226719
4610596.76313339706218.23686660293788
479992.38468183802496.61531816197512
488485.8120473652657-1.81204736526565
498793.5757107011825-6.57571070118255
509290.34846153122641.65153846877359
5198102.421235271714-4.42123527171421
529598.7218129795958-3.72181297959576
538590.3492106315705-5.34921063157052
54100103.370688161432-3.37068816143202
557979.2739678381342-0.273967838134221
566675.9508622835136-9.95086228351357
57105106.574081755787-1.57408175578695
589697.8165918824558-1.81659188245582
5910399.00558692615593.9944130738441
608386.6502195015869-3.65021950158687
619195.3662107343558-4.36621073435579
629590.95267967284614.04732032715385
63109109.191069174763-0.191069174763264
649292.1025401340636-0.102540134063589
6599102.654107243521-3.65410724352118
66110106.9826752753743.01732472462551
678879.65517922075028.34482077924975
687377.1381719715163-4.13817197151633
69111103.8811184256027.11888157439842
70112109.6363751976762.36362480232393
71111106.7120673931484.28793260685213
728485.4983161995142-1.49831619951415
73102100.99164082751.00835917250005
7410298.38656424047523.61343575952483
75114115.640593331366-1.640593331366
769998.62203704557510.377962954424902
77100104.7180868377-4.71808683770044
78110119.048884513656-9.04888451365583
799394.1313259880933-1.13132598809328
807782.9167616511228-5.91676165112276
81108105.2502607669232.74973923307746
82120119.3221109146490.67788908535128
83106107.212073348803-1.21207334880251
847875.41543419051652.58456580948354
85100103.662718431604-3.66271843160376
8610297.85172692842474.1482730715753
879796.88001329125580.119986708744256
88101105.772441075832-4.77244107583221
898992.2160637332284-3.21606373322844
909397.7288258699791-4.72882586997915
918988.87676854331930.123231456680686
926262.8611719162079-0.861171916207893
939695.76423065625610.23576934374388
949597.2369493753398-2.23694937533979
958074.44084051082115.55915948917889
966763.78308987223153.21691012776848
977172.112178402561-1.11217840256104
987369.55261085495043.44738914504956
998178.27165725261572.72834274738428
1007779.3425672419581-2.34256724195806
1016869.0320038512491-1.03200385124911
1027782.0560139949153-5.0560139949153
1037370.52842617019132.47157382980871
1045456.9348450823696-2.9348450823696
1058586.7323637928626-1.73236379286256
1068681.72725744189334.27274255810665
1077978.85653167631070.1434683236893
1086767.6676307605071-0.667630760507109
1097274.3467029957418-2.34670299574174
1107672.02335945013243.97664054986764
1119090.2403205147576-0.240320514757595
1128483.10684568859310.893154311406931
1137571.71389140607293.28610859392705
1149091.4770483764704-1.47704837647042
1157770.08377209815196.91622790184808
1166061.7715258002569-1.77152580025693
1179287.43456932066324.56543067933676
1188880.19571155566997.80428844433009
1198380.61040211673662.38959788326345
1206974.4917740289109-5.49177402891088
1217375.0246720851265-2.02467208512645
1227876.99867389791881.00132610208121
1239289.18994173625432.81005826374571


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.1529244182374630.3058488364749260.847075581762537
170.1362257371606870.2724514743213740.863774262839313
180.7376899817114160.5246200365771690.262310018288585
190.7031349173221360.5937301653557290.296865082677864
200.7580481965324140.4839036069351730.241951803467586
210.7608683144892130.4782633710215730.239131685510787
220.733237554233030.5335248915339410.26676244576697
230.7221058231101890.5557883537796220.277894176889811
240.685473267799990.6290534644000190.31452673220001
250.7576447184367980.4847105631264040.242355281563202
260.7471349983423390.5057300033153210.252865001657661
270.7028337360983150.5943325278033690.297166263901684
280.6425669565358830.7148660869282330.357433043464117
290.757207036836370.485585926327260.24279296316363
300.8358946416458440.3282107167083120.164105358354156
310.7877010795505730.4245978408988550.212298920449427
320.7970368829115870.4059262341768250.202963117088412
330.7486309177910.5027381644180.251369082209
340.6930893018962180.6138213962075640.306910698103782
350.781757106198520.4364857876029610.21824289380148
360.7328020655632440.5343958688735120.267197934436756
370.7813119660854350.4373760678291290.218688033914565
380.7828509968860420.4342980062279150.217149003113958
390.795167544742580.409664910514840.20483245525742
400.8148172960873490.3703654078253020.185182703912651
410.7773416227407850.4453167545184290.222658377259215
420.7362498638325860.5275002723348280.263750136167414
430.8270141561965540.3459716876068910.172985843803446
440.8283643663560810.3432712672878370.171635633643919
450.8099432172870020.3801135654259970.190056782712998
460.9473546341941580.1052907316116840.0526453658058422
470.9691258642565240.06174827148695180.0308741357434759
480.9608791375309190.07824172493816260.0391208624690813
490.9581983537279380.08360329254412310.0418016462720616
500.9510924828236720.09781503435265650.0489075171763282
510.9418566290124030.1162867419751940.0581433709875971
520.9285345433562340.1429309132875310.0714654566437655
530.9221575526167210.1556848947665580.0778424473832788
540.9028341974603370.1943316050793260.0971658025396628
550.8949722218010110.2100555563979780.105027778198989
560.9543631888414540.09127362231709190.0456368111585459
570.9400534729431980.1198930541136040.0599465270568018
580.9239361680432770.1521276639134450.0760638319567227
590.9194610118465650.1610779763068710.0805389881534353
600.9090278615688360.1819442768623280.0909721384311639
610.9049267768823440.1901464462353110.0950732231176555
620.9102693609664810.1794612780670370.0897306390335187
630.8844272746295510.2311454507408980.115572725370449
640.8586372350988390.2827255298023210.141362764901161
650.8537491777633340.2925016444733320.146250822236666
660.8421236672923790.3157526654152410.157876332707621
670.9347098160643290.1305803678713410.0652901839356705
680.9434588231085230.1130823537829530.0565411768914767
690.9627298246407020.07454035071859510.0372701753592976
700.9643725347489780.07125493050204310.0356274652510215
710.9706715652449830.05865686951003430.0293284347550172
720.9608753289350720.07824934212985690.0391246710649285
730.9471446415286030.1057107169427930.0528553584713966
740.9509389442347530.09812211153049480.0490610557652474
750.9389297008469140.1221405983061720.061070299153086
760.924978357186810.150043285626380.07502164281319
770.9209099395886830.1581801208226340.0790900604113168
780.9453123213395160.1093753573209680.054687678660484
790.930447827706360.139104344587280.0695521722936401
800.9411637022609020.1176725954781970.0588362977390984
810.9424141727968060.1151716544063880.057585827203194
820.9476630538479440.1046738923041120.0523369461520559
830.930570873637110.1388582527257790.0694291263628897
840.9210632603035740.1578734793928530.0789367396964265
850.894076718603090.2118465627938190.10592328139691
860.9108813201191590.1782373597616830.0891186798808414
870.9343278521661720.1313442956676570.0656721478338283
880.9089800844436320.1820398311127360.0910199155563678
890.8815470685707480.2369058628585040.118452931429252
900.874230615516630.2515387689667410.125769384483371
910.8388844674177520.3222310651644970.161115532582248
920.8911450973112390.2177098053775220.108854902688761
930.8574427782894590.2851144434210820.142557221710541
940.9018228185199080.1963543629601830.0981771814800917
950.8779832586141740.2440334827716530.122016741385826
960.8432611141330120.3134777717339750.156738885866988
970.8749897520584840.2500204958830320.125010247941516
980.8686403788333380.2627192423333240.131359621166662
990.8203567099571750.359286580085650.179643290042825
1000.7475500648586650.5048998702826710.252449935141335
1010.6666478758738830.6667042482522340.333352124126117
1020.7548970415554060.4902059168891880.245102958444594
1030.6621650083159020.6756699833681950.337834991684098
1040.6574479683444760.6851040633110480.342552031655524
1050.5287079413679910.9425841172640180.471292058632009
1060.4950790999342560.9901581998685130.504920900065744
1070.3331357986233160.6662715972466320.666864201376684


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level100.108695652173913NOK