The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college stude

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The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college stude

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The Accompanying Data Represent The Number Of Days Absent X And The Final Exam Score Y For A Sample Of College Stude 1
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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 iarge state university. Complete parts (a) through (o) below. Click the icon to view the absence count and final exam score data. Click the icon to view a table of critical values for the correlation coefficient. (a) Find the least-squares regression line treating number of absences as the expianatory variable and the finat exam score as the response variable. y^​=c+ (Round to three decimul places as needed.) (b) Interpret the siope and the y-intercept, If appropriate. Choose the correct answer below and fil in any answer boxes in your choice. (Round to three decimal places as needed.) A. The average final exam scoce of students who miss no classes is It is not appropriate to interpret the slope. B. For every additional absence, a student's final exam score drops points, on average. The average final exam score of studenth who miss no classes is C. For every add sional absence, a student's final exam score drops points, on average. It is not appropriate to interpret the y-intercept. D. It is not appropriate to interpret the slope or the y-intercept. (c) Predict the finat exam score for a student who misset five class periods. y^​= (Round to two decimal places as needed.) Compute the residual.
Reference
\begin{tabular}{|c|c|} \hline 20 & 0.444 \\ \hline 21 & 0.433 \\ \hline 22 & 0.423 \\ \hline 23 & 0.413 \\ \hline 24 & 0.404 \\ \hline 25 & 0.396 \\ \hline 26 & 0.388 \\ \hline 27 & 0.381 \\ \hline 28 & 0.374 \\ \hline 29 & 0.367 \\ 30 & 0.361 \\ \hlinen & \end{tabular}
Absences and Final Exam Scores
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