No. of absences, x Final exam score, y 90.2 87,3 1 3 4 6 7 8 9 83.9 81.9 77.3 74.2 63.5 71.8 64.9 65.3 Critical Values for Correlation Coefficient 3 0.997 4 0.950 5 0.878 0.811 7 0.754 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Complete parts (a) through (e) below. E Click the icon to view the absence count and final exam score data. Click the icon to view a table of critical values for the correlation coefficient. (a) Find the least-squares regression line treating number of absences as the explanatory variable and the final exam score 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
Section4.5: Correlation And Causation
Problem 2BGP
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All the values are given 

Absences and Final Exam Scores
No. of
absences, x
Final
exam score, y 90.2
1
2
4
7
9.
87.3
83.9
81.9
77.3
74.2
63.5
71.8
64.9
65.3
Critical Values for Correlation Coefficient
3
0.997
4
0.950
0.878
6.
0.811
7
0.754
0.707
0.666
10
0.632
11
0.602
12
0.576
13
0.553
14
0.532
15
0.514
16
0.497
The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large
state university. Complete parts (a) through (e) below.
E Click the icon to view the absence count and final exam score data.
Click the icon to view a table of critical values for the correlation coefficient.
(a) Find the least-squares regression line treating number of absences as the explanatory variable and the final exam score as the response variable.
y =
(Round to three decimal places as needed.)
co
LO
3.
Transcribed Image Text:Absences and Final Exam Scores No. of absences, x Final exam score, y 90.2 1 2 4 7 9. 87.3 83.9 81.9 77.3 74.2 63.5 71.8 64.9 65.3 Critical Values for Correlation Coefficient 3 0.997 4 0.950 0.878 6. 0.811 7 0.754 0.707 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Complete parts (a) through (e) below. E Click the icon to view the absence count and final exam score data. Click the icon to view a table of critical values for the correlation coefficient. (a) Find the least-squares regression line treating number of absences as the explanatory variable and the final exam score as the response variable. y = (Round to three decimal places as needed.) co LO 3.
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