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 38 116 41 45 120 123 OA. y = 60.46x +1.49; 3629 mm C. y 1.49x+60.46; 150 mm 48 131 51 53 57 142 145 148 61 150 65 152 B. y 1.49x-60.46; 29 mm D. y = 60.46x-1.49; 3626 mm
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 38 116 41 45 120 123 OA. y = 60.46x +1.49; 3629 mm C. y 1.49x+60.46; 150 mm 48 131 51 53 57 142 145 148 61 150 65 152 B. y 1.49x-60.46; 29 mm D. y = 60.46x-1.49; 3626 mm
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
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