A Logistic Regression has been developed to predict whether a student is a "Moviegoer" (attended a movie theatre last year) or a "Non-moviegoer" (did not attend a movie theatre last year). The model use the following as predictors: Self-evaluated Physical Activeness (Q9; very inactive =1, somewhat inactive =2, somewhat active =3, and very active =4), Self-evaluated Social Activeness (Q10; very inactive =1, somewhat inactive =2, somewhat active =3, and very active = 4), and Classification (Q13; Freshman =1, Sophomore =2, Junior =3, Senior =4, and Graduate Student =5 ). "Given the SPSS output tables, please answer the following questions, 1. Is this a high-performance model? Why or why not? 2. Are the estimated betas significant? What do they imply? 3. Based on this model, what is the probability of a graduate student to be a moviegoer, assuming she thinks herself as very active socially yet somewhat inactive physically? Show the calculation. P(y)=1+e+xe+x P(y)=1+e+xe+x Variables in the Equation a. Variable(s) entered on step 1: 09,010,013