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Two variables are defined, a regression equation is given, and one data point is given. Weight = maximum weight capable of bench pressing (pounds) Training number of hours spent lifting weights a week Weight = = The data point is an individual who trains 5 hours a week and can bench 150 pounds. 92 +11.9(Training) (a) Find the predicted value for the data point and compute the residual. Enter the exact answers. Predicted value = i Residual = i Hint eTextbook and Media lbs lbs

Two variables are defined, a regression equation is given, and one data point is given. Weight = maximum weight capable of bench pressing (pounds) Training number of hours spent lifting weights a week Weight = = The data point is an individual who trains 5 hours a week and can bench 150 pounds. 92 +11.9(Training) (a) Find the predicted value for the data point and compute the residual. Enter the exact answers. Predicted value = i Residual = i Hint eTextbook and Media lbs lbs

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Two variables are defined, a regression equation is given, and one data point is given. Weight Training Weight = = = Residual = maximum weight capable of bench pressing (pounds) number of hours spent lifting weights a week The data point is an individual who trains 5 hours a week and can bench 150 pounds. 92 +11.9(Training) (a) Find the predicted value for the data point and compute the residual. Hint Enter the exact answers. Predicted value = i eTextbook and Media lbs lbs
Transcribed Image Text:Two variables are defined, a regression equation is given, and one data point is given. Weight Training Weight = = = Residual = maximum weight capable of bench pressing (pounds) number of hours spent lifting weights a week The data point is an individual who trains 5 hours a week and can bench 150 pounds. 92 +11.9(Training) (a) Find the predicted value for the data point and compute the residual. Hint Enter the exact answers. Predicted value = i eTextbook and Media lbs lbs
(b) Interpret the slope in context. Given a 1 hour increase in Training, expected change in Weight is 11.9 pounds. Given an 11.9 hours increase in Training, expected change in Weight is 1 pound. Given a 1 pound increase in Weight, expected change in Training is 11.9 hours. eTextbook and Me Hint (c) Does the intercept make sense in this context? Yes O No
Transcribed Image Text:(b) Interpret the slope in context. Given a 1 hour increase in Training, expected change in Weight is 11.9 pounds. Given an 11.9 hours increase in Training, expected change in Weight is 1 pound. Given a 1 pound increase in Weight, expected change in Training is 11.9 hours. eTextbook and Me Hint (c) Does the intercept make sense in this context? Yes O No
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