Multiple Linear Regression - Estimated Regression Equation
Crudeoilnnected[t] = -4.84751184144519 + 1.94391574406885Naturalgas[t] + 0.860283890741257steamcoal[t] -0.478472228601963cokingcoal[t] + 5.70655090476457LNG[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-4.847511841445196.781015-0.71490.4849930.242497
Naturalgas1.943915744068851.0846831.79220.0920370.046019
steamcoal0.8602838907412570.4618121.86280.0809480.040474
cokingcoal-0.4784722286019630.284523-1.68170.1120450.056023
LNG5.706550904764571.7841493.19850.0055960.002798


Multiple Linear Regression - Regression Statistics
Multiple R0.974972374946645
R-squared0.950571131909102
Adjusted R-squared0.938213914886378
F-TEST (value)76.9243697962927
F-TEST (DF numerator)4
F-TEST (DF denominator)16
p-value3.06601632971137e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.17201802587217
Sum Squared Residuals427.996327359146


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
131.5323.82696726025577.70303273974432
238.9428.94903726307379.99096273692633
331.5130.60145348871300.908546511287044
429.5427.95933120802181.58066879197822
525.226.4231680911306-1.22316809113059
622.925.0846884084034-2.18468840840340
723.9526.9462876579386-2.99628765793858
828.2630.0544688680683-1.79446886806829
925.5227.7446215153819-2.22462151538194
1016.7422.9978810953645-6.25788109536451
1123.1420.54707330261892.59292669738105
1235.530.62523805935644.87476194064359
1329.6136.8313208327723-7.22132083277234
1429.8431.7017442534776-1.86174425347756
1533.6239.2615022923742-5.64150229237424
1643.4646.176003065021-2.71600306502099
1759.8957.17256225445482.71743774554523
1869.3262.60406517805156.71593482194851
1974.972.36534950043982.53465049956021
2096.9198.3144524879669-1.40445248796689
2161.6765.7627839171152-4.09278391711517