SCENARIO 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 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:

-Referring to Scenario 14-18, what is the estimated odds ratio for a school with a mean SAT score of 1250 and a TOEFL criterion that is at least 90?

Question

SCENARIO 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 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:

-Referring to Scenario 14-18, what is the estimated odds ratio for a school with a mean SAT score of 1250 and a TOEFL criterion that is at least 90?

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The Answer of SCENARIO 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 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:

-Referring to Scenario 14-18, what is the estimated odds ratio for a school with a mean SAT score of 1250 and a TOEFL criterion that is at least 90?

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