This 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 No. of absences, x Final grade, y 0 1 88.8 86.0 83.1 80.6 77.8 73.5 64.1 68.6 65.8 62.9 3 4 5. 6. .8 (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.)

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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What are a and e
10
50-
10
50
10
(e) Would it be reasonable to use the least-squares regression line to predict the final grade for a student who has missed 15 class periods? Why or why not?
O A. No-15 missed class periods is not possible.
O B. No-15 missed class periods is outside the scope of the model.
O C. Yes-15 missed class periods is possible and within the scope of the model
O D. No-15 missed class periods is not possible and outside the scope of the model.
O E. More information regarding the student is necessary to be able to make a decision.
e Type here to search
Transcribed Image Text:10 50- 10 50 10 (e) Would it be reasonable to use the least-squares regression line to predict the final grade for a student who has missed 15 class periods? Why or why not? O A. No-15 missed class periods is not possible. O B. No-15 missed class periods is outside the scope of the model. O C. Yes-15 missed class periods is possible and within the scope of the model O D. No-15 missed class periods is not possible and outside the scope of the model. O E. More information regarding the student is necessary to be able to make a decision. e Type here to search
This qu
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)
No. of absences, x
Final grade, y
* 1
88.8 86.0 83.1 80.6 77.8 73.5 64.1 68.6 65.8 62.9
3
4
6.
7
8
(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.
y x+ (D
(Round to three decimal places as needed.)
(bl Into
Transcribed Image Text:This qu 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) No. of absences, x Final grade, y * 1 88.8 86.0 83.1 80.6 77.8 73.5 64.1 68.6 65.8 62.9 3 4 6. 7 8 (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. y x+ (D (Round to three decimal places as needed.) (bl Into
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