Process please, thanks!

7. The following table contains the parameter estimates of the linear probability regression model and the logistic regression model. When considering a binary response variable y and two predictor variables, X and X2, what is the predicted probability implied by the logistic regression model for xz = 2 with x2 = 152 (Hint: for logit, the model is = exp (bo +b; x+ b2 43 ) 1+exp (bo + b1 #'+ b2 X2 Linear Variable Probability Logistic Intercept -0.76 X1 0.43 X2 A. 0.838 B. 0.006 C. -5.16 D. 0.005 -4.1 1.12 -0.22 -0.02 8. The following table contains the parameter estimates of the linear probability regression model and the logistic regression model. When considering a binary response variable y and two predictor variables, X and Xg, what is the predicted probability implied by the logistic probability regression model for x = 3 with X, = 9? Linear Variable Probability Logistic Intercept X1 0.43 -0.76 -1.12 0.85 -0.18 -0.02 5 A. 1.87 B. -0.35 C. 0.35 D. -0.87