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

Note- As per our policy we can answer only the first 3 sub-parts of a question. If you want solutions for other parts also, then you have to make a separate request. Given data and calculation is shown below No of absences(x) Final Exam score (y) x2 y2 xy 0 89.2 0 7956.64 0 1 85.8 1 7361.64 85.8 2 83.2 4 6922.24 166.4 3 80.2 9 6432.04 240.6 4 78.1 16 6099.61 312.4 5 73.9 25 5461.21 369.5 6 64.5 36 4160.25 387 7 72.3 49 5227.29 506.1 8 64.7 64 4186.09 517.6 9 66.9 81 4475.61 602.1a) Regression equation ŷ = 88.267 - 2.753x b) For every additional absence, a student’s final exam score drops 2.753 points, on average. The average final exam score of students who miss no classes is 88.267 c) Exam score for 5 class projects ŷ = 88.267 - 2.753(5) = 74.502 Residual = y - ŷ = 73.9 - 74.502 = -0.602 Final exam score is below average for this number of absences