data point and compute the residual. Enter the exact answers. Predicted value= lbs Residual= lbs           (b) Interpret the slope in context.     Given a 1 pound increase in Weight, expected change in Training is 11.8 hours.   Given a 1 hour increase in Training, expected change in Weight is 11.8.   Given an 11.8 hours increase in Training, expected change in Weight is 1 pound.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Question 9

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^ = 93+11.8(Training)
The data point is an individual who trains 5 hours a week and can bench 150 pounds.
 
 
 
 

(a) Find the predicted value for the data point and compute the residual.

Enter the exact answers.

Predicted value= lbs

Residual= lbs

 
 
 
 
 
(b) Interpret the slope in context.


 

 

Given a 1 pound increase in Weight, expected change in Training is 11.8 hours.

 

Given a 1 hour increase in Training, expected change in Weight is 11.8.

 

Given an 11.8 hours increase in Training, expected change in Weight is 1 pound.
 
 
 
 
 
 
(c) Does the intercept make sense in this context?


 

 

Yes

 

No
 
 
 
 
 
   
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