A researcher is interested in how variables GRE (Graduate Record Exam scores), GPA (grade point average) and prestige of the undergraduate institution affect admission into graduate school. The outcome variable, admit/don't admit, is binary.

The researcher runs a logistic regression model and gets the following results:

Figure: A

GPAs are represented as a number between 0 and 20, with 20 being the maximum possible. If theprobabilityof admitting a student with a GPA of 15 is 0.25, what are theoddsof accepting another student with a GPA of 16?

Answer is 0.745

Please explain how to calculate this?

Odds Ratio Estimates Point 95% Wald Effect Estimate Confidence Limits GEE 1.002 1.000 1.004 GPA 2.235 1.166 4.282 RANK 1 vs 4 4.718 2.080 10.701 RANK 2 vs 4 2.401 1.170 4.927 RANK 3 vs 4 1.235 0.572 2.668 Figure: A