Study = number of hours spent studying for an exam     Grade = grade on the exam     Grade^ = 41.0+3.9(Study) The data point is a student who studied 10 hours and received an 81 on the exam.         (a) Find the predicted value for the data point and compute the residual. Enter the exact answers. Predicted value= Residual=             (b) Interpret the slope in context.     Given a one hour increase in study time, expected grade will be 3.9.   Given a one hour increase in study time, expected change in Grade is 3.9.   Given a one point increase in Grade, expected change in Study time is 3.9 hours.               (c) Does the intercept make sense in this context?     Yes   No

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter6: Exponential Functions And Sequences
Section6.6: Geometric Sequence
Problem 55E
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Chapter 2, Section 6, Exercise 203

Two variables are defined, a regression equation is given, and one data point is given.

    Study = number of hours spent studying for an exam
    Grade = grade on the exam
    Grade^ = 41.0+3.9(Study)
The data point is a student who studied 10 hours and received an 81 on the exam.
 
 
 
 

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

Enter the exact answers.

Predicted value=

Residual=

 
 

 
 
 
 
(b) Interpret the slope in context.


 

 

Given a one hour increase in study time, expected grade will be 3.9.

 

Given a one hour increase in study time, expected change in Grade is 3.9.

 

Given a one point increase in Grade, expected change in Study time is 3.9 hours.
 
 
 

 
 
 
 
(c) Does the intercept make sense in this context?


 

 

Yes

 

No
 
 
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