Answer....

In the following multiple regression model, TimeSpent=Bo+B1 athletes+32 nonathleteste where TimeSpent = time spent studying for the final exam athletes = a binary variable which equals to 1 for athletes, 0 for non-athletes nonathletes = a binary variable which equals to 1 for non-athletes, 0 for athletes If athletes spend more time studying for the final exam, you would expect O the coefficient for athletes greater than the coefficient for nonathletes. O the coefficient for athletes to have a positive sign, and for nonathletes a negative sign. O none of the OLS estimators to exist because there is perfect multicollinearity. O B1 estimates the mean of TimeSpent for athletes, B2 estimates the mean of TimeSpent for nonathletes. O the coefficient for athletes less than the coefficient for nonathletes