adults. Find the least-squares regression line for the given data. What would be the predicted pressure if the age was 60? Round the predicted pressure to the nearest whole number. Round the least-squares regression line values to two decimal places. Age, x Pressure, y 38 116 41 45 120 123 O A. y 1.49x + 60.46; 150 mm OC. y = 60.46x-1.49; 3626 mm 48 131 51 142 53 57 61 65 145 148 150 152 B. y = 60.46x +1.49; 3629 mm D. y=1.49x-60.46; 29 mm

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter4: Polynomial And Rational Functions
Section4.6: Variation
Problem 37E
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Question
The data below are ages and systolic blood pressures (measured in millimeters of mercury) of 9 randomly selected
adults. Find the least-squares regression line for the given data. What would be the predicted pressure if the age was
60? Round the predicted pressure to the nearest whole number. Round the least-squares regression line values to two
decimal places.
Age, x
Pressure, y
38 41
116
120
O A. y = 1.49x + 60.46; 150 mm
OC. y = 60.46x-1.49; 3626 mm
45
123
48
131
51
142
53 57 61
145
148
65
150 152
OB. y = 60.46x + 1.49; 3629 mm
D. y 1.49x-60.46; 29 mm
Transcribed Image Text:The data below are ages and systolic blood pressures (measured in millimeters of mercury) of 9 randomly selected adults. Find the least-squares regression line for the given data. What would be the predicted pressure if the age was 60? Round the predicted pressure to the nearest whole number. Round the least-squares regression line values to two decimal places. Age, x Pressure, y 38 41 116 120 O A. y = 1.49x + 60.46; 150 mm OC. y = 60.46x-1.49; 3626 mm 45 123 48 131 51 142 53 57 61 145 148 65 150 152 OB. y = 60.46x + 1.49; 3629 mm D. y 1.49x-60.46; 29 mm
The least-square regression line for the given data is y = - 1.885x +0.758. Determine the residual of a data point for
which x = 1 and y=-1, rounding to three decimal places.
OA.
X
y
-5 - 3
11
6
- 1.643
B. - 1.127
C. -2.127
D. 0.127
4
-6
1
- 1
- 1
3
-2
4
0
1
2
-4
3
-5
-40
Transcribed Image Text:The least-square regression line for the given data is y = - 1.885x +0.758. Determine the residual of a data point for which x = 1 and y=-1, rounding to three decimal places. OA. X y -5 - 3 11 6 - 1.643 B. - 1.127 C. -2.127 D. 0.127 4 -6 1 - 1 - 1 3 -2 4 0 1 2 -4 3 -5 -40
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