1. A professor of a math class wants to understand the relationship between a student's final exam grade and two predictors: the amount of time the student spends preparing for the exam (variable named "prep_time", in hours) and the student's gender (=1 for female, =0 for male). The regression equation he calculated is given as follows:

Grade = 45.2 + 3.3 * prep_time + 3.4 * gender,

The regression coefficients for both gender and prep_time are significant.

Which one of the following statements is true regarding this regression model?

	A.	It appears that female students tend to have higher scores in the final exam than male students, holding the time spent preparing for the exam the same.
	B.	The longer one studies, the better ones' grade.
	C.	In this model, the professor assumes the effect of prep_time on grade is the same between female and male students
	D.	All of the above are true.