a person should exercise per week (Y), given their age (x1) and the number of calories they eat per day (x2). After collecting data, the clinic is able to perform linear regression and discovers that the correct coefficient for the "age" variable is 13, the correct coefficient for the "calories per day" variable is 23, and the "constant" is-16. Given this information, what would the prediction equation look like to allow the clinic to predict the number of hours of exercise given age and calories? OY= -16x1 + 23x2 + 13 OY = 23 - 16x1 + 13x2 OY= -16 + 13x1+ 23x2 Y = -16 +23x1 + 13x2

a person should exercise per week (Y), given their age (x1) and the number of calories they eat per day (x2). After collecting data, the clinic is able to perform linear regression and discovers that the correct coefficient for the "age" variable is 13, the correct coefficient for the "calories per day" variable is 23, and the "constant" is-16. Given this information, what would the prediction equation look like to allow the clinic to predict the number of hours of exercise given age and calories? OY= -16x1 + 23x2 + 13 OY = 23 - 16x1 + 13x2 OY= -16 + 13x1+ 23x2 Y = -16 +23x1 + 13x2

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.2: Representing Data

Problem 10PPS

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