6 When atndrte and ACT atndrte are added to the equation estimated in (6.19), the R-squared...

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6 When atndrte and ACT atndrte are added to the equation estimated in (6.19), the R-squared becomes .232. Are these additional terms jointly significant at the 10% level? Would you include them in the model? (We use the standardized exam score for the reasons discussed in Section 6-1: it is easier to inter- pret a student's performance relative to the rest of the class.) In addition to quadratics in priGPA and ACT, this model includes an interaction between priGPA and the attendance rate. The idea is that class attendance might have a different effect for students who have performed differently in the past, as measured by priGPA. We are interested in the effects of attendance on final exam score: Astndfnl/Aatndrte = B + BopriGPA. Using the 680 observations in ATTEND, for students in a course on microeconomic principles, the estimated equation is stndfnl 2.05 - .0067 atndrte - 1.63 priGPA - .128 ACT (1.36) (.0102) (.48) (.098) + .296 priGPA + .0045 ACT2 + .0056 priGPA atndrte (.0022) (.0043) (.101) n= 680, R2 = .229, R = .222. [6.19] 6 When atndrte and ACT atndrte are added to the equation estimated in (6.19), the R-squared becomes .232. Are these additional terms jointly significant at the 10% level? Would you include them in the model? (We use the standardized exam score for the reasons discussed in Section 6-1: it is easier to inter- pret a student's performance relative to the rest of the class.) In addition to quadratics in priGPA and ACT, this model includes an interaction between priGPA and the attendance rate. The idea is that class attendance might have a different effect for students who have performed differently in the past, as measured by priGPA. We are interested in the effects of attendance on final exam score: Astndfnl/Aatndrte = B + BopriGPA. Using the 680 observations in ATTEND, for students in a course on microeconomic principles, the estimated equation is stndfnl 2.05 - .0067 atndrte - 1.63 priGPA - .128 ACT (1.36) (.0102) (.48) (.098) + .296 priGPA + .0045 ACT2 + .0056 priGPA atndrte (.0022) (.0043) (.101) n= 680, R2 = .229, R = .222. [6.19]