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 5 6 7 0 1 2 3 4 8 9 87.7 84.8 81.9 79.4 76.4 72.0 62.0 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. (Round to three decimal places as needed.)
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 5 6 7 0 1 2 3 4 8 9 87.7 84.8 81.9 79.4 76.4 72.0 62.0 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. (Round to three decimal places as needed.)
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 2CYU
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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 (a) through (e) below.
No. of absences, x
5
6
0 1 2 3 4
7 8 9 Q
87.7 84.8 81.9 79.4 76.4 72.0 62.0 66.9 64.0 61.1
Final grade, y
C
(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+
(Round to three decimal places as needed.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F05b86979-fadc-4733-a28c-c1e373e1d90f%2Fc73bbdf7-0e95-4112-9fbf-2ddb550a6b65%2Fph6zz7j_processed.png&w=3840&q=75)
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.
No. of absences, x
5
6
0 1 2 3 4
7 8 9 Q
87.7 84.8 81.9 79.4 76.4 72.0 62.0 66.9 64.0 61.1
Final grade, y
C
(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+
(Round to three decimal places as needed.)
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