Multiple Linear Regression - Estimated Regression Equation
steenkool[t] = + 2.54801758964427 -102.791303444913periode[t] + 0.0275640204914296aardolie[t] -0.117144426849802uranium[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2.548017589644274.5458760.56050.5768950.288447
periode-102.79130344491387.563428-1.17390.2443550.122178
aardolie0.02756402049142960.0405840.67920.4992310.249616
uranium-0.1171444268498020.126517-0.92590.3576250.178812


Multiple Linear Regression - Regression Statistics
Multiple R0.209134593180188
R-squared0.0437372780646425
Adjusted R-squared0.00333181094061341
F-TEST (value)1.08245940902962
F-TEST (DF numerator)3
F-TEST (DF denominator)71
p-value0.362172378125315
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.01007009019596
Sum Squared Residuals643.297058300354


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
163.012261104225932.98773889577407
294.324822002387334.67517799761267
374.52659010416532.4734098958347
485.002605577649632.99739442235037
514.02184180880489-3.02184180880489
695.461542531084083.53845746891592
793.864582308579885.13541769142012
873.913638197999063.08636180200094
925.05084660821831-3.05084660821831
1095.131713751672823.86828624832718
1184.792500915363073.20749908463693
1235.30291039857176-2.30291039857176
1303.85374003696109-3.85374003696109
1474.724852778019672.27514722198033
1554.685349971956190.314650028043808
1674.182786267728242.81721373227176
1794.731765809578724.26823419042128
1864.786367775828181.21363222417182
1944.26436846653938-0.264368466539377
2054.079121354595030.920878645404965
2184.988915412585693.01108458741431
2255.31785277714666-0.317852777146662
2395.109551531637773.89044846836223
2404.80683469311272-4.80683469311272
2503.43419350533394-3.43419350533394
2633.87074686712864-0.870746867128637
2784.416872579438843.58312742056116
2814.46550630454435-3.46550630454435
2935.08335738606278-2.08335738606278
3024.86918749531429-2.86918749531429
3155.07071583324458-0.0707158332445778
3224.89234293261872-2.89234293261873
3355.54715863168448-0.547158631684484
3445.69004088127074-1.69004088127074
3534.66860747637281-1.66860747637281
3604.77933662926073-4.77933662926073
3773.428095851796773.57190414820323
3884.768887234488733.23111276551127
3984.8650381750133.134961824987
4035.44420436685107-2.44420436685107
4114.23594051589212-3.23594051589212
4294.841751005685274.15824899431473
4304.18880141533572-4.18880141533572
4484.954458154904033.04554184509597
4584.92706915263493.0729308473651
4674.821869266358042.17813073364196
4744.28278075178138-0.282780751781377
4834.4693099499165-1.4693099499165
4902.49860804512509-2.49860804512509
5023.83699767814078-1.83699767814078
5113.77653862843343-2.77653862843343
5214.43142570036164-3.43142570036164
5384.180959814793723.81904018520628
5474.283709654875462.71629034512454
5564.244031658820311.75596834117969
5614.21722732549933-3.21722732549933
5755.00983550908933-0.00983550908933267
5815.04933812463824-4.04933812463824
5915.13731359814343-4.13731359814343
6074.448700099658962.55129990034104
6132.857718788781990.142281211218009
6284.361059802494713.63894019750529
6355.13430573489517-0.134305734895173
6473.894134177910623.10586582208938
6554.546338249711070.453661750288931
6674.704185584263792.29581441573621
6724.26482006560243-2.26482006560243
6844.08640484865929-0.0864048486592884
6904.46554957747689-4.46554957747689
7004.89093189935119-4.89093189935119
7154.916881499057710.0831185009422903
7235.36525623965708-2.36525623965708
7313.21683938859218-2.21683938859218
7414.19604234204647-3.19604234204647
7535.03121141657583-2.03121141657583


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.6297095559203730.7405808881592550.370290444079627
80.5404596738247610.9190806523504780.459540326175239
90.4887577029929370.9775154059858740.511242297007063
100.4263185207627350.8526370415254710.573681479237265
110.5444827675152970.9110344649694070.455517232484703
120.6727893237702610.6544213524594780.327210676229739
130.8250858032434150.349828393513170.174914196756585
140.7680840469810440.4638319060379120.231915953018956
150.7001405649554520.5997188700890960.299859435044548
160.6437785905652890.7124428188694220.356221409434711
170.6789527705021350.6420944589957290.321047229497865
180.6032195031008460.7935609937983070.396780496899154
190.5933621201578030.8132757596843930.406637879842197
200.5274745946612070.9450508106775860.472525405338793
210.4975120399733920.9950240799467850.502487960026608
220.4320328152804290.8640656305608580.567967184719571
230.4481593475240140.8963186950480280.551840652475986
240.6756321652176210.6487356695647570.324367834782379
250.682404401144360.6351911977112790.31759559885564
260.6206388682338770.7587222635322450.379361131766123
270.6636973577250590.6726052845498810.336302642274941
280.7145355484928460.5709289030143070.285464451507154
290.6989935256916780.6020129486166440.301006474308322
300.6940455426043790.6119089147912410.30595445739562
310.6402712000197750.719457599960450.359728799980225
320.6572980127180140.6854039745639730.342701987281986
330.5938036358430210.8123927283139580.406196364156979
340.5407044234309660.9185911531380680.459295576569034
350.4924446378691780.9848892757383560.507555362130822
360.6084467863393960.7831064273212080.391553213660604
370.6376575769950180.7246848460099630.362342423004982
380.6540066726396140.6919866547207710.345993327360386
390.6735078832056050.6529842335887910.326492116794395
400.6376319295929160.7247361408141670.362368070407084
410.6429953551991160.7140092896017680.357004644800884
420.7214914314003820.5570171371992350.278508568599618
430.7719011817786290.4561976364427430.228098818221372
440.7839667978463680.4320664043072640.216033202153632
450.8145364928197810.3709270143604380.185463507180219
460.8278619321295080.3442761357409840.172138067870492
470.778435452647240.443129094705520.22156454735276
480.732814838038910.5343703239221790.26718516196109
490.7122956987172440.5754086025655110.287704301282756
500.6735195057729090.6529609884541820.326480494227091
510.6609938064775890.6780123870448210.339006193522411
520.6839119152594990.6321761694810020.316088084740501
530.7100174439125060.5799651121749870.289982556087494
540.7174404540344850.565119091931030.282559545965515
550.6696991674891440.6606016650217120.330300832510856
560.7051881962922980.5896236074154050.294811803707702
570.6356090347407480.7287819305185040.364390965259252
580.6518681682647430.6962636634705140.348131831735257
590.762991330498810.4740173390023810.23700866950119
600.7131293679229270.5737412641541470.286870632077073
610.6267600619034880.7464798761930240.373239938096512
620.6535040858537770.6929918282924460.346495914146223
630.5948575466319050.8102849067361890.405142453368095
640.6858453330604140.6283093338791730.314154666939586
650.610394312919030.779211374161940.38960568708097
660.8515673842430990.2968652315138020.148432615756901
670.7634831564812570.4730336870374850.236516843518743
680.7091785845183830.5816428309632330.290821415481617


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