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SCENARIO 14-18
a Logistic Regression Model Was Estimated in Order

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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).
The PHStat output is given below:
Binary Logistic Regression  Predictor  Coefficients  SE Coef Zp-Value  Intercept 3.95941.67412.36500.0180 SAT 0.00280.00112.54590.0109 Toefl90:1 0.19280.58270.33090.7407 Deviance 101.9826\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\end{array}\\\\\begin{array} { l l } \text { Deviance } & 101.9826\end{array}\end{array}
-Referring to Scenario 14-18, which of the following is the correct expression for the estimated model? a) Y=3.9594+0.0028SAT+0.1928Y = - 3.9594 + 0.0028 S A T + 0.1928 Toef 190
b) Y^=3.9594+0.0028SAT+0.1928\hat { Y } = - 3.9594 + 0.0028 S A T + 0.1928 Toefl 90
c) ln(\ln ( odds ratio )=3.9594+0.0028SAT+0.1928) = - 3.9594 + 0.0028 S A T + 0.1928 Toefl 90
d) ln(\ln ( estimated odds ratio )=3.9594+0.0028) = - 3.9594 + 0.0028 SAT +0.1928+ 0.1928 Toefl 90


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