Are my answers correct?

A logistic regression modeling the probability of a player hitting at least 15 home runs in the 1986 season (represented as the variable X and the value of 1 means the player hit at least 15 home runs in the 1986 season, X = 0 means the player did not), with salary as the explanatory variable, produced the following prediction equation: (1) = -1.632 - 0.0027*Salary; the effect of salary has a p-value of 0.126. With an alpha level of .05 we , (2) due to the sign of the effect of salary being negative as salary increases the odds of hitting at least 15 home runs in the 1986 season (3) .