SCENARIO 13-18
a Logistic Regression Model Was Estimated in Order

Multiple Choice

SCENARIO 13-18
A logistic regression model was estimated in order to predict the probability that a randomly chosen university or college would be a private university using information on mean total Scholastic Aptitude Test score (SAT) at the university or college and whether the TOEFL criterion is at least 90 (Toefl90 = 1 if yes, 0 otherwise.) The dependent variable, Y, is school type (Type = 1 if private and 0 otherwise) .There are 80 universities in the sample.
The PHStat output is given below:
Binary Logistic Regression $$\begin{array}{l}\begin{array} { l r r r r } \hline { \text { Predictor } } & \text { Coefficients } & \text { SE Coef } &{ Z } & p \text {-Value } \\\hline \text { Intercept } & - 3.9594 & 1.6741 & - 2.3650 & 0.0180 \\\text { SAT } & 0.0028 & 0.0011 & 2.5459 & 0.0109 \\\text { Toefl90:1 } & 0.1928 & 0.5827 & 0.3309 & 0.7407\\\text { Deviance } & 101.9826\\\end{array}\\\end{array}$$
-Referring to SCENARIO 13-18, which of the following is the correct interpretation for the SATslope coefficient?

A) Holding constant the effect of Toefl90, the estimated mean value of school type increases by 0.0028 for each increase of one point in average SAT score.
B) Holding constant the effect of Toefl90, the estimated school type increases by 0.0028 for each increase of one point in average SAT score.
C) Holding constant the effect of Toefl90, the estimated probability of the school being a private school increases by 0.0028 for each increase of one point in mean SAT score.
D) Holding constant the effect of Toefl90, the estimated natural logarithm of the odds ratio of the school being a private school increases by 0.0028 for each increase of one point in mean SAT score.