Consider a Logistic Regression Model for the Probability of a "Success",given

Multiple Choice

Consider a logistic regression model for the probability of a "success",given a quantitative variable X. $$\begin{array} { | l | c | } \hline \text { Term } & \text { Estimate } \\\hline \text { Intercept } & - 4.00 \\\hline \mathrm { X } & 0.10 \\\hline\end{array}$$ Use the output above to estimate the probability of a success when X = 25.

A) 0.1824
B) 0.8176
C) 0.2019
D) 0.7981
E) 0.2231