Table 1. Who is willing to go to graduate school?- somewhat likely vs. very likely Parameter Beta(std.err) Odds ratio Intercept 2.969(1.491) 19.469 Paredu |-0.423(0.408) 10.6552 Publice -0.779(0.471) 10.4592 GPA |-0.475(0.487) 10.622 -2LogL 713.994 (df=8) unlikely vs. very likely Beta(std.err) Odds ratio 4.848 (1. 449) 127.461 -1.374 (0.422) 10.253 -0.360 (0.443) 10.6982 -0.924 (0.474) 10.3672 K b) Interpret the coefficient estimates, the exponentiated coefficients, and corresponding tests of significance for variables Paredu and Public in the model. c) Calculate the predicted probabilities of three possible outcomes for Tom, a soci major guy in UM with GPA 3.5, whose mom held a PhD in physics. exp(Exi) Predicted probability(Tt:) Unlikely Somewhat likely Very likely NA Table 1. Who is willing to go to graduate school?- somewhat likely vs. very likely Parameter Beta(std.err) Odds ratio Intercept 2.969(1.491) 19.469 Paredu |-0.423(0.408) 10.6552 Publice -0.779(0.471) 10.4592 GPA |-0.475(0.487) 10.622 -2LogL 713.994 (df=8) unlikely vs. very likely Beta(std.err) Odds ratio 4.848 (1. 449) 127.461 -1.374 (0.422) 10.253 -0.360 (0.443) 10.6982 -0.924 (0.474) 10.3672 K b) Interpret the coefficient estimates, the exponentiated coefficients, and corresponding tests of significance for variables Paredu and Public in the model. c) Calculate the predicted probabilities of three possible outcomes for Tom, a soci major guy in UM with GPA 3.5, whose mom held a PhD in physics. exp(Exi) Predicted probability(Tt:) Unlikely Somewhat likely Very likely NA