TABLE 14-18 A Logistic Regression Model Was Estimated in Order to Predict

TABLE 14-18
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, the room and board expense measured in thousands of dollars (Room/Brd) , and whether the TOEFL criterion is at least 550 (Toefl550 = 1 if yes, 0 otherwise.) The dependent variable, Y, is school type (Type = 1 if private and 0 otherwise) .
The Minitab output is given below:
-Referring to Table 14-18, which of the following is the correct interpretation for the SAT slope coefficient?

A) Holding constant the effect of the other variables, the estimated mean value of school type increases by 0.015 for each increase of one point in average SAT score.
B) Holding constant the effect of the other variables, the estimated school type increases by 0.015 for each increase of one point in average SAT score.
C) Holding constant the effect of the other variables, the estimated probability of the school being a private school increases by 0.015 for each increase of one point in mean SAT score.
D) Holding constant the effect of the other variables, the estimated natural logarithm of the odds ratio of the school being a private school increases by 0.015 for each increase of one point in mean SAT score.