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.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Question
3:16
K
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.
(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 = -2.777 x + 88.336
(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.)
O A. For every additional absence, a student's final exam score drops
to interpret the y-intercept.
O B. For every additional absence, a student's final exam score drops
exam score of students who miss no classes is
OC. The average final exam score of students who miss no classes is
slope.
OD. It is not appropriate to interpret the slope or the y-intercept.
Vo) 1
LTE 4G 24%
|||
=
O
points, on average. It is not appropriate
points, on average. The average final
It is not appropriate to interpret the
Transcribed Image Text:3:16 K 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. (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 = -2.777 x + 88.336 (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.) O A. For every additional absence, a student's final exam score drops to interpret the y-intercept. O B. For every additional absence, a student's final exam score drops exam score of students who miss no classes is OC. The average final exam score of students who miss no classes is slope. OD. It is not appropriate to interpret the slope or the y-intercept. Vo) 1 LTE 4G 24% ||| = O points, on average. It is not appropriate points, on average. The average final It is not appropriate to interpret the
Critical Values for Correlation Coefficient
n
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
n
0.997
0.950
0.878
0.811
0.754
0.707
0.666
0.632
0.602
0.576
0.553
0.532
0.514
0.497
0.482
0.468
0.456
0.444
0.433
0.423
0.413
0.404
0.396
0.388
0.381
0.374
0.367
0.361
Absences and Final Exam Scores
No. of
absences, x
0 1 2 3 4 5 6 7 8 9
Final
exam score, y 88.3 86.7
82.6 81.6 77.2 73.5
65.1
72.4 65.7 65.3
-
X
Transcribed Image Text:Critical Values for Correlation Coefficient n 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 n 0.997 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 0.553 0.532 0.514 0.497 0.482 0.468 0.456 0.444 0.433 0.423 0.413 0.404 0.396 0.388 0.381 0.374 0.367 0.361 Absences and Final Exam Scores No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final exam score, y 88.3 86.7 82.6 81.6 77.2 73.5 65.1 72.4 65.7 65.3 - X
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