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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. No. of absences, x 1 3 4 5 7 8 Final grade, y 88.8 86.0 83.1 80.6 77.8 73.5 64.1 68.6 65.8 62.9 (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. (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) days, on average. O A. For every unit change in the final grade, the number of days absent falls by O B. For zero days absent, the final score is predicted to be. O C. For every day absent, the final grade falls by on average. days. O D. For a final score of zero, the number of days absent is predicted to be O E. It is not appropriate to interpret the slope.

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. No. of absences, x 1 3 4 5 7 8 Final grade, y 88.8 86.0 83.1 80.6 77.8 73.5 64.1 68.6 65.8 62.9 (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. (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) days, on average. O A. For every unit change in the final grade, the number of days absent falls by O B. For zero days absent, the final score is predicted to be. O C. For every day absent, the final grade falls by on average. days. O D. For a final score of zero, the number of days absent is predicted to be O E. It is not appropriate to interpret the slope.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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. 17 8 No. of absences, x Final grade, y 2 4 88.8 86.0 83.1 80.6 778 73.5 64.1 68.6 65.8 62.9 (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. (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) days, on average. O A. For every unit change in the final grade, the number of days absent falls by O B. For zero days absent, the final score is predicted to be O C. For every day absent, the final grade falls by on average. days. O D. For a final score of zero, the number of days absent is predicted to be O E. It is not appropriate to interpret the slope. 48°F P Type here to search 441 144 24 %
Transcribed Image Text: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. 17 8 No. of absences, x Final grade, y 2 4 88.8 86.0 83.1 80.6 778 73.5 64.1 68.6 65.8 62.9 (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. (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) days, on average. O A. For every unit change in the final grade, the number of days absent falls by O B. For zero days absent, the final score is predicted to be O C. For every day absent, the final grade falls by on average. days. O D. For a final score of zero, the number of days absent is predicted to be O E. It is not appropriate to interpret the slope. 48°F P Type here to search 441 144 24 %
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. * 1 2 No. of absences, x Final grade, y 3 4 5 6. 7 8 6. 88.8 86.0 83.1 80.6 77.8 73.5 64.1 68.6 65.8 62.9 Interpret the y-intercept. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) O A. For every day absent, the final grade falls by on average. O B. For zero days absent, the final score is predicted to be O C. For a final score of zero, the number of days absent is predicted to be days. O D. For every unit change in the final grade, the number of days absent falls by days, on average. O E. It is not appropriate to interpret the y-intercept. (c) Predict the final grade for a student who misses five class periods and compute the residual. Is the observed final grade above or below average for this number of absences? The predicted final grade is. This observation has a residual of which indicates that the final grade is (Round to one decimal place as needed.) V average. (d) Draw the least-squares regression line on the scatter diagram of the data. Choose the correct graph below. Type here to search
Transcribed Image Text: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. * 1 2 No. of absences, x Final grade, y 3 4 5 6. 7 8 6. 88.8 86.0 83.1 80.6 77.8 73.5 64.1 68.6 65.8 62.9 Interpret the y-intercept. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) O A. For every day absent, the final grade falls by on average. O B. For zero days absent, the final score is predicted to be O C. For a final score of zero, the number of days absent is predicted to be days. O D. For every unit change in the final grade, the number of days absent falls by days, on average. O E. It is not appropriate to interpret the y-intercept. (c) Predict the final grade for a student who misses five class periods and compute the residual. Is the observed final grade above or below average for this number of absences? The predicted final grade is. This observation has a residual of which indicates that the final grade is (Round to one decimal place as needed.) V average. (d) Draw the least-squares regression line on the scatter diagram of the data. Choose the correct graph below. Type here to search
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