For linear regression the model takes the form: E (Y | X1, , Xp) = 0 + + + pXp For logistic regression the model takes the form E(Y X1,..., Xp) = Pr (Y = 1 | X1, ..., Xp) eBo+B1X1++pXp = 1+ eo+1X1++pXp Suppose when fitting a linear regression model, you transform the response Y so that log(Y) = i = 1 Xii + How do you interpret the coefficient of Bi in words? How does this differ from the interpretation of the coefficient in linear regression? Why?