Question: Using the data set HW4D2, fit a logistic regression modeling the probability of a player hitting at least 100 home runs in their career (i.e.

Using the data set HW4D2, fit a logistic regression modeling the probability of a player hitting at least 100 home runs in their career (i.e. CRHD = 1), with salary as the explanatory variable.

What is the predicted probability of a player who makes $1,500 thousand (when salary = 1500) hitting at least 100 home runs in their career?

log (pi/(1-pi)) = -5.3053 + 0.0063x

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