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QUESTION 4 For question 4 up the following information: Support we have a data set with five predictors, KI -GPA, Xy = 1Q X3 - Gender (1 for Female and O for Mile). Xy = Interaction between GPA and 1Q, and Ks - Interaction between GRA and Gender The response h starting salary ofter gridation (i thousands of dofars). Suppose we use least squires to fit the moded, and get Po 50, 81 - 20, Ag - 0.07, By - 35, A4 - 0.01, and 85= -10. Consider a pair of students (one male and one female). Both students have a GPA of 3.0 and both students have equal 1Q's. This model states that O A. for this pair the Female will earn more.50, 81 - 30, 82 - 0.07 8, = 35, Pa = 0.01, and Pg- -10. Consider a pair of students (one male and one female), Both students have a GRAT 3.0 and both students have equal 10)'s. This model states that A. for this pair the Female will earn more. B. for this pair the Male will cam more. C. the male and female always have equal starting salaries IN 10 and GPA are the same. (D. the female is expected to earn more than any male. 'E. the male is expected to cam more than any female