Multiple Linear Regression - Estimated Regression Equation
uitvoer[t] = + 748.072152423624 + 0.892597476409893invoer[t] + 241.389011880087M1[t] + 995.458410491878M2[t] + 1101.31078858059M3[t] + 827.408828727138M4[t] + 1101.50543825314M5[t] + 1536.18475816057M6[t] + 1526.30536759173M7[t] -67.6231584650186M8[t] + 1333.38498903394M9[t] + 1149.19652200137M10[t] + 766.137395534915M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)748.072152423624789.3502690.94770.34870.17435
invoer0.8925974764098930.04399120.290700
M1241.389011880087385.2237230.62660.5342990.26715
M2995.458410491878384.8441692.58670.0132470.006623
M31101.31078858059394.323182.79290.0078330.003916
M4827.408828727138385.6147462.14570.0377240.018862
M51101.50543825314385.6485392.85620.0066370.003319
M61536.18475816057392.3117493.91570.0003250.000163
M71526.30536759173384.9015783.96540.000280.00014
M8-67.6231584650186406.976247-0.16620.8688280.434414
M91333.38498903394410.4241283.24880.0022840.001142
M101149.19652200137415.7796222.7640.0084430.004222
M11766.137395534915407.678521.87930.0671580.033579


Multiple Linear Regression - Regression Statistics
Multiple R0.968101963445662
R-squared0.937221411627346
Adjusted R-squared0.919284672092302
F-TEST (value)52.2514925188187
F-TEST (DF numerator)12
F-TEST (DF denominator)42
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation573.625168812105
Sum Squared Residuals13819925.0403781


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
116198.916070.9666452205127.933354779463
216554.216648.1232240079-93.9232240078967
319554.219426.0554074773128.14459252274
415903.815795.1835985938108.616401406153
518003.817420.5835276568583.216472343212
618329.618082.6966845535246.903315446544
716260.715832.7546671864427.94533281365
814851.914669.8614624879182.038537512062
918174.117416.9958641607757.104135839344
1018406.617664.9138354581741.686164541883
1118466.517458.58900932081007.91099067918
1216016.515174.5003454032841.999654596761
1317428.516577.4264533355851.07354666448
1417167.216714.2646970099452.935302990131
151963018904.1536630204725.846336979601
1617183.616500.8711634435682.728836556491
1718344.718060.3081389998284.391861000242
1819301.418806.1469391837495.253060816329
1918147.518165.0226132978-17.5226132977622
2016192.915327.8843220973865.015677902687
2118374.418119.3808183476255.0191816524
2220515.220005.0366393619510.16336063807
2318957.218953.15422382154.04577617845619
2416471.516834.3746125351-362.874612535079
2518746.819014.842382168-268.042382168018
2619009.518747.1554495334262.344550466598
2719211.219919.7510716796-708.551071679574
2820547.720742.4943713433-194.79437134332
2919325.819410.1833025744-84.3833025744407
3020605.521076.290100937-470.790100936955
3120056.920268.6963457006-211.796345700597
3216141.416928.9364155337-787.536415533736
3320359.821084.411115486-724.611115485986
3419711.620135.0880916749-423.488091674855
3515638.616849.3912316711-1210.79123167107
3614384.514866.1079173036-481.607917303621
3713855.614442.5118092583-586.911809258338
3814308.314705.0277776112-396.727777611202
3915290.615835.3142793755-544.714279375542
4014423.814381.487715455942.3122845441422
4113779.714239.7231607225-460.023160722492
4215686.316089.080220992-402.780220991957
4314733.814983.3589086347-249.558908634698
4412522.512782.017799881-259.517799881014
4516189.416476.9122020058-287.512202005757
4616059.116887.4614335051-828.361433505098
4716007.115808.2655351866198.834464813433
4815806.815804.31712475812.48287524193745
491516015284.0527100176-124.052710017586
5015692.115916.7288518376-224.628851837631
5118908.918509.6255784472399.274421552776
5216969.917608.7631511635-638.863151163466
5316997.517320.7018700465-323.201870046522
5419858.919727.486054334131.413945666039
5517681.217630.267465180650.9325348194077


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.5268496188582440.9463007622835120.473150381141756
170.45004957509390.90009915018780.5499504249061
180.331289343386090.662578686772180.66871065661391
190.2780630069513840.5561260139027680.721936993048616
200.4172149116694890.8344298233389780.582785088330511
210.4087960611287320.8175921222574630.591203938871268
220.4394497359368740.8788994718737480.560550264063126
230.5244525842190570.9510948315618870.475547415780943
240.566249509609720.867500980780560.43375049039028
250.4590490583466520.9180981166933040.540950941653348
260.4783913933198170.9567827866396350.521608606680183
270.6253326863953990.7493346272092030.374667313604601
280.5435883234581320.9128233530837360.456411676541868
290.4644299753606730.9288599507213470.535570024639327
300.3921139695084050.784227939016810.607886030491595
310.3019191824977910.6038383649955810.698080817502209
320.3590038409310220.7180076818620450.640996159068978
330.3455416022150060.6910832044300120.654458397784994
340.3018622093675810.6037244187351610.698137790632419
350.8821296964866490.2357406070267020.117870303513351
360.8556454565497280.2887090869005440.144354543450272
370.8388313925863480.3223372148273040.161168607413652
380.7449620969518660.5100758060962680.255037903048134
390.7889034962383490.4221930075233030.211096503761651


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 level00OK