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The following data represent the number of days absent, x, and the ï¬nal grade, y, for a sample of college

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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.
The following data represent the number of days absent, x,

(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?

Transcribed Image Text:

No. of absences, r 01 2 3 4 5 6 7 8 9 Final grade,y 89.2 86.4 83.5 81.1 78.2 73.9 64.3 71.8 65.5 66.2

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a We compute the correlation coefficient rounded to seven decimal places to be r 0 9473950 We comput…View the full answer


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Fundamentals Of Statistics

Fundamentals Of Statistics

ISBN: 9780321844606

4th Edition

Authors: Michael Sullivan III

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Question Posted: April 27, 2015 13:25:49
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