The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Complete parts (a) through (e) below.

No. of

absences, x= 0 1 2 3 4 5 6 7 8 9

Final

exam score, y= 89.8 86.5 83.9 81.4 78.2 72.9 65.3 71.1 65.5 66.8

(a) Find the least-squares regression line treating number of absences as the explanatory variable and the final exam score as the response variable.

(Round to three decimal places as needed.)

(b) Interpret the slope and the y-intercept, if appropriate.

(c) Predict the final exam score for a student who misses five class periods

(d) Draw the least-squares regression line on the scatter diagram of the data.

(e) Would it be reasonable to use the least-squares regression line to predict the final exam score for a student who has missed 15 class periods? Why or why not?