A logistic regression on whether a candidate is admitted to a graduate program based on the candidate's GRE score, the candidate's undergraduate GPA, and the candidate's rank in their graduating class (4 categories where 1 is the highest rank and 4 is the lowest rank}. Please note: I added odds ratios to the right side of the output so that you have both the coefcient and the odds ratio for each covariate. Logistic regression Number of obs = 499 LR chi2(5) = 41.46 Prob > ch12 = 0.0000 ladded these Log likelihood = 229.25875 Pseudo R2 = 9.9829 I ORsforyou. admit I Coef Std Err z P>|z| [95% Conf Interval] _____________ +________________________________________________________________ gre | .9922644 .991994 2.97 9.938 .9991292 .9944986 0R=1.992257 gpa | .8949377 .3318193 2.42 9.915 .1536838 1.454392 9R=2.234545 l rank | 2 | .?54429 .3164397 2.13 9.933 1.295751 .9551346 9R=9.593931 3 | 1.349294 .3453964 -3.88 9.999 -2.916992 .663415B 9R=9.261?92 4 | 1.551464 .4178316 3.?1 9.999 2.379399 .732528? 9R=9.21193? l cons | 3.989979 1.139951 3.59 9.999 6.224242 1.75571? Odds=9.918599 6. What is the interpretation of the association of the GRE with the likelihood of being admitted to the graduate program? 7. Compared to the persons who have an average GPA of 2.5, by what factor are the odds of being admitted increased for persons who have an average GOA of 4.0? 8. What is the predicted probability of admission for a student who scores {500 on the GRE, has a GPA of 3.30, and is in ranking number 2