=+12. A second-order autoregressive model for the gas prices is:

Dependent variable is: Gas R squared = 82.2% R squared (adjusted) = 77.1%

s = 0.1498 with 10 - 3 = 7 degrees of freedom Variable Coefficient SE(Coeff) t-ratio P-value Intercept 1.28207 0.4644 2.76 0.0281 Lag18Gas9 1.31432 0.2383 5.51 0.0009 Lag28Gas9 -0.788250 0.2457 -3.21 0.0149 Using values from the table, what is the predicted value for