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.

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.

Trigonometry (MindTap Course List)

8th Edition

ISBN:9781305652224

Author:Charles P. McKeague, Mark D. Turner

Publisher:Charles P. McKeague, Mark D. Turner

Chapter4: Graphing And Inverse Functions

Section: Chapter Questions

Problem 6GP: If your graphing calculator is capable of computing a least-squares sinusoidal regression model, use...

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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.

Yes

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