X > y 4 6 4 -1 A. -0.885 OB. -0.995 O C. -0.778 OD. -0.671 13 - 13 10 -8 8 -4 7 -3 Pounding to three decimal places. 9 -6 11 - 11 12 - 12 50 1

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 1E
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Question
Compute the linear correlation coefficient for the data below, rounding to three decimal places.
6
-1
X
y
4
4
OA. -0.885
B.
- 0.995
C. -0.778
O D. -0.671
13 10
-8
-13
8
-4
7
-3
9
-6
11
- 11
12
- 12
50
1
Transcribed Image Text:Compute the linear correlation coefficient for the data below, rounding to three decimal places. 6 -1 X y 4 4 OA. -0.885 B. - 0.995 C. -0.778 O D. -0.671 13 10 -8 -13 8 -4 7 -3 9 -6 11 - 11 12 - 12 50 1
The data below are the number of absences and the final grades of 9 randomly selected students from a literature class.
Find the least-squares regression line for the given data. What would be the predicted final grade if a student was
absent 14 times? Round the least-squares regression line values to two decimal places. Round the predicted grade to
the nearest whole number.
Number of absences, x
Final grade, y
0
3
98 86
O A. y=96.14x-2.75; 1343
OC. y=-2.75x-96.14; 134.64
6
80
4
82
9
71
2 15
92 55
8
76
50
82
B. y = -2.75x+96.14; 58
O D. y = -96.14x+2.75; 1343
Transcribed Image Text:The data below are the number of absences and the final grades of 9 randomly selected students from a literature class. Find the least-squares regression line for the given data. What would be the predicted final grade if a student was absent 14 times? Round the least-squares regression line values to two decimal places. Round the predicted grade to the nearest whole number. Number of absences, x Final grade, y 0 3 98 86 O A. y=96.14x-2.75; 1343 OC. y=-2.75x-96.14; 134.64 6 80 4 82 9 71 2 15 92 55 8 76 50 82 B. y = -2.75x+96.14; 58 O D. y = -96.14x+2.75; 1343
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