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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.    Absences and Final Exam Scores No. of ​absences, x 0 1 2 3 4 5 6 7 8 9   Final exam​ score, y 89.7 86.1 83.6 81.8 78.7 74.1 64.4 71.2 64.5 66.4     Critical Values for Correlation Coefficient n 3      0.997 4      0.950 5      0.878 6      0.811 7      0.754 8      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 17    0.482 18    0.468 19    0.456 20    0.444 21    0.433 22    0.423 23    0.413 24    0.404 25    0.396 26    0.388 27    0.381 28    0.374 29    0.367 30    0.361 n     ​(a) The least-squaresregressionline treating number of absences as the explanatory variable and the final exam score as the response variable. y=negative 2.907−2.907x + 89.133 c) predict the final exam score for a student who kissed five class periods. y = _____ (Round to two decimal places as needed).

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.    Absences and Final Exam Scores No. of ​absences, x 0 1 2 3 4 5 6 7 8 9   Final exam​ score, y 89.7 86.1 83.6 81.8 78.7 74.1 64.4 71.2 64.5 66.4     Critical Values for Correlation Coefficient n 3      0.997 4      0.950 5      0.878 6      0.811 7      0.754 8      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 17    0.482 18    0.468 19    0.456 20    0.444 21    0.433 22    0.423 23    0.413 24    0.404 25    0.396 26    0.388 27    0.381 28    0.374 29    0.367 30    0.361 n     ​(a) The least-squaresregressionline treating number of absences as the explanatory variable and the final exam score as the response variable. y=negative 2.907−2.907x + 89.133 c) predict the final exam score for a student who kissed five class periods. y = _____ (Round to two decimal places as needed).

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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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. 
 
Absences and Final Exam Scores
No. of
​absences, x
0
1
2
3
4
5
6
7
8
9
 
Final
exam​ score, y
89.7
86.1
83.6
81.8
78.7
74.1
64.4
71.2
64.5
66.4
  
 
Critical Values for Correlation Coefficient
n
3      0.997
4      0.950
5      0.878
6      0.811
7      0.754
8      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
17    0.482
18    0.468
19    0.456
20    0.444
21    0.433
22    0.423
23    0.413
24    0.404
25    0.396
26    0.388
27    0.381
28    0.374
29    0.367
30    0.361
n
 
 
​(a) The least-squaresregressionline treating number of absences as the explanatory variable and the final exam score as the response variable.
y=negative 2.907−2.907x + 89.133

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