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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

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 coefficient and the odds ratio for each covariate.

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Source | df MS Number of obs 4, 071 F(4, 4066) 328. 17 Model | 243294.94 60823.7351. Prob > F 0. 0000 Residual J. 753608. 514 4, 066 185.343953 R-squared 0 . 2441 Adj R-squared 0 . 2433 Total J. 996903.454 4, 070 244.939424 Root MSE 13. 614 weightka Coef. std. Err. P>ItI [959 Conf. Interval] heightam . 7164207 . 030964 23. 14 0.000 . 6557144 . 777127 female 7. 043856 . 9058594 7.78 0.000 5.267876 8. 819836 white -3.552731 . 6814034 -5. 21 0.000 -4. 888654 -2. 216807 other -9.573996 1. 769315 -5.41 0. 000 -13. 04282 -6. 10517 cons 4 48.87639 5. 705812 -8.57 0.000 -60.06291 -37.68988

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