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In: Statistics and Probability

The data below represent the number of days​ absent, x, and the final​ grade, y, for...

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.

0 1 2 3 4 5 6 7 8 9
89.0 86.1 83.0 80.5 77.4 73.0 63.3 67.8 64.8 61.8

(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.

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

(c) Predict the final grade for a student who misses two class periods and compute the residual. Is the observed 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 18 class​ periods? Why or why​ not?

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