(c) Predict the final exam score for a student who misses five class periods. y= (Round to two decimal places as needed.)

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Chapter1: Starting With Matlab
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Solve for C and compute the residual

Absences and Final Exam Scores
No. of
absences, x
0
Final
exam score, y 89.7
1
COLOR
2
85.9 84.2 81.1
SPACE
3
Print
4
5
78.5 74.6
Done
6 7
8
9
63.8 72.5 64.9 66.5
X
Transcribed Image Text:Absences and Final Exam Scores No. of absences, x 0 Final exam score, y 89.7 1 COLOR 2 85.9 84.2 81.1 SPACE 3 Print 4 5 78.5 74.6 Done 6 7 8 9 63.8 72.5 64.9 66.5 X
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.
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.
ww
21
(a) Find the least-squares regression line treating number of absences as the explanatory variable and the final exam score as thekesponse variable.
v=
= -2.849 x + 88.991
(Round to three decimal places as needed.)
(b) Interpret the slope and the y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice.
(Round to three decimal places as needed.)
A. For every additional absence, a student's final exam score drops 2.849 points, on average. The average final exam score of students who miss no classes is 88.991
B. The average final exam score of students who miss no classes is
OC. For every additional absence, a student's final exam score drops
It is not appropriate to interpret the slope.
points, on average. It is not appropriate to interpret the y-intercept.
D. It is not appropriate to interpret the slope or the y-intercept.
(c) Predict the final exam score for a student who misses five class periods.
(Round to two decimal places as needed.)
Transcribed Image Text: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. 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. ww 21 (a) Find the least-squares regression line treating number of absences as the explanatory variable and the final exam score as thekesponse variable. v= = -2.849 x + 88.991 (Round to three decimal places as needed.) (b) Interpret the slope and the y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice. (Round to three decimal places as needed.) A. For every additional absence, a student's final exam score drops 2.849 points, on average. The average final exam score of students who miss no classes is 88.991 B. The average final exam score of students who miss no classes is OC. For every additional absence, a student's final exam score drops It is not appropriate to interpret the slope. points, on average. It is not appropriate to interpret the y-intercept. D. It is not appropriate to interpret the slope or the y-intercept. (c) Predict the final exam score for a student who misses five class periods. (Round to two decimal places as needed.)
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