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.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 explanatory variable and the final exam score as the response variable.%3D+(Round to three decimal places as needed.)(b) Interpret the slope and the y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice.(Round to three decimal places as needed.)Question ViewerO A. For every additional absence, a student's final exam score dropspoints, on average. It is not appropriate to interpret the y-intercept.B. For every additional absence, a student's final exam score dropspoints, on average. The average final exam score of students who miss no classes isO C. The average final exam score of students who miss no classes isIt is not appropriate to interpret the slope.Absences and final exam scoresO D. It is not appropriate to interpret the slope or the y-intercept.(c) Predict the final exam score for a student who misses five class periods.No. ofy = (Round to two decimal places as needed.)absences, x145 678.FinalCompute the residual.exam score, y 89.285.883.280.278.173.964.572.364.766.9(Round to two decimal places as needed.)Is the final exam score above or below average for this number of absences?PrintDoneBelowAbove(d) Draw the least-squares regression line on the scatter diagram of the data. Choose the correct graph below.O A.Exam Scores vs. AbsencesВ.Exam Scores vs. AbsencesStatcrunchNextMacBook Pro3.2.B. 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.E 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.Is the final exam score above or below average for this number of absences?Reference.....BelowAboveCritical Values for Correlation Coefficient(d) Draw the least-squares regression line on the scatter diagram of the data. Choose the correct graph below.A.Exam Scores vs. AbsencesOB.Exam Scores vs. Absences0.997100-80-60-40-20-0-40.950100-80-60-40-20-0-0.8786.0.8116.8.Number of Absences8.Number of Absences1070.754Exam Scores vs. AbsencesOD.Exam Scores vs. Absences80.7079.0.666100-80-60-40-20-100-80-60-40-20-0-100.632110.602248.Number of Absences102126.Number of Absences8.100.576130.553(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?140.532A. No, because the absolute value of the correlation coefficient is less than the critical value for a sample size of n = 10.150.514B. Yes, because the purpose of finding the regression line is to make predictions outside the scope of the model.160.497C. No, because 15 absences is outside the scope of the model.170.482D. Yes, because the absolute value of the correlation coefficient is greater than the critical value for a sample size of n = 10.180.468190.456StatcrunchPrintDoneMacBook ProFinal Exam ScoreFinal Exam ScoreFinal Exam ScoreFinal Exam Scoreof

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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 large state university. Complete parts (a) through (e) below. E 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 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. Choose the correct answer below and fill in any answer boxes in your choice. (Round to three decimal places as needed.) Question View O A. For every additional absence, a student's final exam score drops points, on average. It is not appropriate to interpret the y-intercept. O B. For every additional absence, a student's final exam score drops points, on average. The average final exam score of students who miss no classes is. OC. The average final exam score of students who miss no classes is It is not appropriate to interpret the slope. Absences and final exam scores OD. It is not appropriate to interpret the slope or the y-intercept. (c) Predict the final exam score for a student who misses five class periods. No. of absences, x y 3 (Round to two decimal places as needed.) 3 4 7 8 Final Compute the residual. exam score, y 89.2 85.8 83.2 80.2 78.1 73.9 64.5 72.3 64.7 66.9 (Round to two decimal places as needed.) Is the final exam score above or below average for this number absences? Print Done O Below O Above di Draw th e

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P