The Data Below Represent The Number Of Days Absent X And The Final Grade Y For A Sample Of College Students At A Lar 1 (47.69 KiB) Viewed 33 times
The Data Below Represent The Number Of Days Absent X And The Final Grade Y For A Sample Of College Students At A Lar 2 (22.39 KiB) Viewed 33 times
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 0 1 2 3 4 5 6 7 8 9 87.8 84.9 81.9 79.4 76.4 72.0 62.2 66.9 64.0 61.1 Final grade, y (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. ŷ=x+ (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.) OA For zero days absent, the final score is predicted to be B. For every day absent, the final grade falls by, on average. C. For every unit change in the final grade, the number of days absent falls by OD. For a final score of zero, the number of days absent is predicted to be days. OE. It is not appropriate to interpret the slope. days, on average 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.) OA For zaro days absent, the final score is predicted to be OB. For every day absent, the final grade falls by on average OC. For every unit change in the final grade, the number of days absent falls by OD. For a final score of zero, the number of days absent is predicted to be days. OE. 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? days, on average.
(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? average 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) (d) Draw the least-squares regression Sine on the scatter diagram of the cata. Choose the comect graph below OB. OA 100- 4) 50- 100 Oc OD. No-15 missed class periode is not possibl OE. More information regarding the student is necessary to be able to make a decision 4 100 a (e) Would be reasonable to use the least squares regression line to predict the final grade for a student who has missed 15 class periods? Whyer why not? OA No-15 missed class periods is outside the scope of the model of the model. OB. No-15 missed cleas periods is not possible and outside the scope of t OC. Ves-15 missed class periods is possible and within the scope of the modal OD Ay ROO
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