Continuing with same dataset as above, a logistic regression of dem on all the other variables yields the following: . logistic dem male income age Number of obs = 30 LR chi2(3) = 24.96 Prob > chi2 0.0000 Log likelihood = -8.248706 Pseudo R2 0.6020 dem | Odds Ratio Std. Err. z P>|z] [95% Conf. Interval] male | .3577023 .5516788 -0.67 0.505 .0174071 7.350499 income | 1.129791 .069624 1.98 0.048 1.00125 1.274835 age | 1.136464 .0717194 2.03 0.043 1.004242 1.286095 cons | .0001279 .0004133 -2.77 0.006 2.27e-07 .0721338 4. All else equal, increasing the age by 10 years will increase the odds of voting for the Democrat by a factor of A) 113.64 B) 3.5938 C) 1.1364 D) 4.7561 E) 11.364 5. An AR(3) model of inflation yields the coefficients .3, -.25 and .15 for the first, second and third lag of inflation, and the constant value is 2. If the last three observations in the dataset (starting with the last observation) are 3, 2.5, and 4, then what is the predicted inflation for the next period? A) 2.250 B) 2.875 C) .8750 D) 3.425 E) 1.750