# Question

The following data represent the number of days absent, x, and the ﬁnal grade, y, for a sample of college students in a general education course at a large state university.

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

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

(c) Predict the ﬁnal grade for a student who misses ﬁve class periods and compute the residual. Is the ﬁnal grade above or below average for this number of absences?

(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 grade for a student who has missed 15 class periods? Why or why not?

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

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

(c) Predict the ﬁnal grade for a student who misses ﬁve class periods and compute the residual. Is the ﬁnal grade above or below average for this number of absences?

(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 grade for a student who has missed 15 class periods? Why or why not?

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