a The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a l

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a The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a l

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A The Data Below Represent The Number Of Days Absent X And The Final Grade Y For A Sample Of College Students At A L 1
A The Data Below Represent The Number Of Days Absent X And The Final Grade Y For A Sample Of College Students At A L 1 (30.26 KiB) Viewed 26 times
A The Data Below Represent The Number Of Days Absent X And The Final Grade Y For A Sample Of College Students At A L 2
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A The Data Below Represent The Number Of Days Absent X And The Final Grade Y For A Sample Of College Students At A L 3
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A The Data Below Represent The Number Of Days Absent X And The Final Grade Y For A Sample Of College Students At A L 4
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A The Data Below Represent The Number Of Days Absent X And The Final Grade Y For A Sample Of College Students At A L 5
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a 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 No. of absences, 0 1 2 4 6 7 8 9 Final grade, y 892 86.4 834 810 781 73.8 643 68.8 659 63 1 3 5 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 varim y= x + ( ) (Round to three decimal places as needed) (1) Interpret the slope and y-intercept, if appropriate Interpret the slope. Select the corred choice below and, if necessary, fill in the answer box to complote your choice (Round to three decimal places as needed) days OA. For a final score of zero, the number of days absent is predicted to be B. Fondosheant the finalerne erotitor to ha

The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large univ. GO 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.) O A. For a final score of zero, the number of days absent is predicted to be days OB. For zero days absent, the final score is predicted to be O C. For every day absent the final grade falls by on average OD. For every unit change in the final grade, the number of days absent falls by days, on average OE. It is not appropriate to interpret the slope 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)

Interpret the intercepe Select the corred choice below and I necessary, it in the answer box to complete your choice (Round to three decimal places as needed) On For every day absent, the final grade falls by on average O B. For every unit change in the final grade, the number of days abrent fats by days, on average OC. For a final score of zom, the number of days and is predicted to be days OD. Fer zero dinys atient, the final score in predicted to be OE is not appropriate to interpret the intercept c) Prodid the final grade for a student who misses five dass periods and compute the residual is the observed final grade above or below average for this

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 line on the scatter diagram of the data. Choose the correct graph below. ОВ. ОА. Ay 100 Ос. Ay 100 100 o o B a SO 50 0 10 0

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 p 50 50 50 10 (e) Would it be reasonable to use the least squares regression line to predid the final grade for a student who has missed 15 class periods? W OA. No -15 missed dass periods is not possible OB. No –15 missed dass periods is outside the scope of the model OC. Yes -15 missed dass periods is possible and within the scope of the model OD. No -15 missed class periods is not possible and outside the scope of the model OE More information regarding the student is necessary to be able to make a decision
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