The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) below. No. of absences, x 0 1 2 3 4 5 6 7 8 9 87.7 84.8 81.9 79.4 76.4 72.0 62.0 66.9 64.0 61.1 Final grade, y C (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as the response variable. y = -3.131 x + (87.709) (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) O A. For a final score of zero, the number of days absent is predicted to be OB. For every day absent, the final grade falls by on average. O C. For every unit change in the final grade, the number of days absent falls by O D. For zero days absent, the final score is predicted to be OE. It is not appropriate to interpret the slope. days. days, on average.

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