Multiple Linear Regression - Estimated Regression Equation
prod[t] = + 68.0312982366911 + 0.229514405745129`inv `[t] + 24.5735355099470M1[t] + 25.0803868545787M2[t] + 14.0488543217235M3[t] + 5.09316380538653M4[t] + 13.3292942013657M5[t] + 7.78424888359052M6[t] + 16.411509807828M7[t] + 12.3623368066073M8[t] + 3.00635086491699M9[t] + 19.3761303959791M10[t] + 4.75718490958852M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)68.031298236691111.6170855.856100
`inv `0.2295144057451290.1290951.77790.0818960.040948
M124.57353550994707.2881523.37170.0015020.000751
M225.08038685457877.1338243.51570.0009830.000491
M314.04885432172357.0277211.99910.0514030.025701
M45.093163805386537.101230.71720.4767860.238393
M513.32929420136577.4157231.79740.0786930.039346
M67.784248883590527.0331451.10680.2740150.137008
M716.4115098078287.0639132.32330.0245410.01227
M812.36233680660737.0809581.74590.087370.043685
M93.006350864916998.2354920.3650.7167130.358357
M1019.37613039597917.1556842.70780.0094150.004708
M114.757184909588527.5730570.62820.5329320.266466


Multiple Linear Regression - Regression Statistics
Multiple R0.614117486163206
R-squared0.377140286811415
Adjusted R-squared0.218112274933479
F-TEST (value)2.37153368364369
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value0.0175319062285035
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation11.1116343779799
Sum Squared Residuals5803.01567184553


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1110.5105.2281260626215.27187393737922
2110.8104.2890366510586.51096334894232
3104.298.21501528229735.9849847177027
488.994.882427706716-5.98242770671593
589.894.787185174147-4.98718517414693
69090.1372460387778-0.137246038777776
793.997.456274850268-3.55627485026802
891.395.3350228573064-4.03502285730637
987.897.294097118851-9.49409711885096
1099.799.04380900394840.656190996051607
1173.583.001874201938-9.50187420193796
1279.284.5563354503405-5.35633545034049
1396.9106.651115378240-9.75111537824013
1495.2108.810470444237-13.6104704442368
1595.6100.142936290556-4.5429362905564
1689.787.83633545034051.86366454965950
1792.896.1872230491922-3.38722304919221
188892.3176328933565-4.31763289335650
19101.1100.7383308524230.361669147576616
2092.797.9285356422263-5.22853564222632
2195.897.9596888955118-2.15968889551185
22103.8102.5783308524231.22166914757662
2381.885.9396585954756-4.13965859547562
2487.185.24487866757591.85512133242411
25105.9107.247852833177-1.34785283317747
26108.1107.3874811286170.712518871383038
27102.699.38553875159753.21446124840253
2893.786.43629757529527.2637024247048
29103.595.61343703482947.88656296517062
30100.698.58337617019852.01662382980146
31113.3100.66947653070012.6305234693002
32102.497.21704098441645.18295901558358
33102.196.55965102046665.54034897953343
34106.9103.2209711885103.67902881149027
3587.386.00851291719921.29148708280084
3693.184.76289841551118.33710158448889
37109.1110.024977142694-0.92497714269355
38120.3111.3351289074338.96487109256682
39104.9104.3200984751180.579901524882256
4092.690.38394535411142.21605464588856
41109.895.200311104488214.5996888955119
42111.496.219377791023715.1806222089763
43117.9105.21386176445312.6861382355466
44121.698.731836062334322.8681639376657
45117.897.730174489766720.0698255102333
46124.2109.25720005960714.9427999403934
47106.891.493907214507715.3060927854922
48102.788.481031788582214.2189682114178
49116.8110.0479285832686.75207141673194
50113.6116.177882868655-2.57788286865542
5196.1101.336411200431-5.23641120043107
528590.360993913537-5.36099391353692
5383.297.3118436373433-14.1118436373433
5484.997.6423671066435-12.7423671066435
5583105.122056002155-22.1220560021553
5679.698.3875644537166-18.7875644537166
5783.297.156388475404-13.9563884754039
5883.8104.299688895512-20.4996888955119
5982.885.7560470708795-2.95604707087951
6071.490.4548556779903-19.0548556779903


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.2098870161478590.4197740322957180.79011298385214
170.1073788809199700.2147577618399410.89262111908003
180.04617048981515890.09234097963031770.95382951018484
190.03634499997684930.07268999995369870.96365500002315
200.01652180696754410.03304361393508810.983478193032456
210.01013250587666490.02026501175332980.989867494123335
220.005052797475819580.01010559495163920.99494720252418
230.003525814842487610.007051629684975210.996474185157512
240.001965053966217460.003930107932434920.998034946033783
250.0007771923219772650.001554384643954530.999222807678023
260.0003576331522757510.0007152663045515010.999642366847724
270.0001302792144275620.0002605584288551240.999869720785572
284.75730427334324e-059.51460854668649e-050.999952426957267
296.29326012836504e-050.0001258652025673010.999937067398716
306.05353059205804e-050.0001210706118411610.99993946469408
310.0001296857277518550.0002593714555037090.999870314272248
328.56086493629671e-050.0001712172987259340.999914391350637
335.77543215715624e-050.0001155086431431250.999942245678428
342.32062683285219e-054.64125366570438e-050.999976793731671
351.20972345965863e-052.41944691931725e-050.999987902765403
368.61494758849676e-061.72298951769935e-050.999991385052412
372.91531545926922e-065.83063091853844e-060.99999708468454
383.27450558586208e-066.54901117172416e-060.999996725494414
399.21611265676386e-071.84322253135277e-060.999999078388734
402.56925726715466e-075.13851453430933e-070.999999743074273
411.10792036203647e-062.21584072407293e-060.999998892079638
425.2799082870685e-061.0559816574137e-050.999994720091713
431.43417887654176e-052.86835775308352e-050.999985658211235
440.0005738560940675860.001147712188135170.999426143905932


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level220.758620689655172NOK
5% type I error level250.862068965517241NOK
10% type I error level270.93103448275862NOK