The following table shows the percentages of hospitals willing to rehire medical technicians who have been away from that career for x years (154). It can be argued that the fitted line should necessarily have a y-intercept of 100 because no employer would refuse to hire someone (due to outdated skills) whose career had not been interrupted at all – that is, applicants for whom x = 0. Under that assumption, use the result l000t from Question 11.2.16 to fit these data with the model y = 100 + b x . Year of Inactivity, x Percent of Hospitals Willing to Hire, y 0.5 100 1.5 94 4 75 8 44 13 28 18 17

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Answer 1

Question

Chapter 11.2, Problem 17Q

To determine

To calculate: The following table shows the percentages of hospitals willing to rehire medical technicians who have been away from that career for x years (154). It can be argued that the fitted line should necessarily have a y-intercept of 100 because no employer would refuse to hire someone (due to outdated skills) whose career had not been interrupted at all – that is, applicants for whom x = 0. Under that assumption, use the result l000t from Question 11.2.16 to fit these data with the model y=100+bx.

Year of Inactivity, x Percent of Hospitals Willing to Hire, y

0.5 100

1.5 94

4 75

8 44

13 28

18 17

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Answer 2

Question

Chapter 11.2, Problem 17Q

To determine

To calculate: The following table shows the percentages of hospitals willing to rehire medical technicians who have been away from that career for x years (154). It can be argued that the fitted line should necessarily have a y-intercept of 100 because no employer would refuse to hire someone (due to outdated skills) whose career had not been interrupted at all – that is, applicants for whom x = 0. Under that assumption, use the result l000t from Question 11.2.16 to fit these data with the model y=100+bx.

Year of Inactivity, x Percent of Hospitals Willing to Hire, y

0.5 100

1.5 94

4 75

8 44

13 28

18 17

Expert Solution & Answer

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Answer 3

Question

Chapter 11.2, Problem 17Q

To determine

To calculate: The following table shows the percentages of hospitals willing to rehire medical technicians who have been away from that career for x years (154). It can be argued that the fitted line should necessarily have a y-intercept of 100 because no employer would refuse to hire someone (due to outdated skills) whose career had not been interrupted at all – that is, applicants for whom x = 0. Under that assumption, use the result l000t from Question 11.2.16 to fit these data with the model y=100+bx.

Year of Inactivity, x Percent of Hospitals Willing to Hire, y

0.5 100

1.5 94

4 75

8 44

13 28

18 17

Expert Solution & Answer

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Answer 4

Question

Chapter 11.2, Problem 17Q

To determine

To calculate: The following table shows the percentages of hospitals willing to rehire medical technicians who have been away from that career for x years (154). It can be argued that the fitted line should necessarily have a y-intercept of 100 because no employer would refuse to hire someone (due to outdated skills) whose career had not been interrupted at all – that is, applicants for whom x = 0. Under that assumption, use the result l000t from Question 11.2.16 to fit these data with the model y=100+bx.

Year of Inactivity, x Percent of Hospitals Willing to Hire, y

0.5 100

1.5 94

4 75

8 44

13 28

18 17

Expert Solution & Answer

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Answer 5

Chapter 11.2, Problem 17Q

To determine

To calculate: The following table shows the percentages of hospitals willing to rehire medical technicians who have been away from that career for x years (154). It can be argued that the fitted line should necessarily have a y-intercept of 100 because no employer would refuse to hire someone (due to outdated skills) whose career had not been interrupted at all – that is, applicants for whom x = 0. Under that assumption, use the result l000t from Question 11.2.16 to fit these data with the model y=100+bx.

Year of Inactivity, x Percent of Hospitals Willing to Hire, y

0.5 100

1.5 94

4 75

8 44

13 28

18 17

Answer 6

Chapter 11.2, Problem 17Q

To determine

To calculate: The following table shows the percentages of hospitals willing to rehire medical technicians who have been away from that career for x years (154). It can be argued that the fitted line should necessarily have a y-intercept of 100 because no employer would refuse to hire someone (due to outdated skills) whose career had not been interrupted at all – that is, applicants for whom x = 0. Under that assumption, use the result l000t from Question 11.2.16 to fit these data with the model y=100+bx.

Year of Inactivity, x Percent of Hospitals Willing to Hire, y

0.5 100

1.5 94

4 75

8 44

13 28

18 17

Answer 7

Chapter 11.2, Problem 17Q

To determine

To calculate: The following table shows the percentages of hospitals willing to rehire medical technicians who have been away from that career for x years (154). It can be argued that the fitted line should necessarily have a y-intercept of 100 because no employer would refuse to hire someone (due to outdated skills) whose career had not been interrupted at all – that is, applicants for whom x = 0. Under that assumption, use the result l000t from Question 11.2.16 to fit these data with the model y=100+bx.

Year of Inactivity, x Percent of Hospitals Willing to Hire, y

0.5 100

1.5 94

4 75

8 44

13 28

18 17

Answer 8

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Answer 9

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Answer 10

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Answer 11

Ch. 11.2 - Crickets make their chirping sound by sliding one...Ch. 11.2 - The aging of whisky in charred oak barrels brings...Ch. 11.2 - Prob. 3Q Ch. 11.2 - Prob. 4Q Ch. 11.2 - Prob. 5Q Ch. 11.2 - Prob. 6Q Ch. 11.2 - The relationship between school funding and...Ch. 11.2 - (a) Find the equation of the least squares...Ch. 11.2 - Prob. 9Q Ch. 11.2 - Prob. 10Q

Solution Summary: The author calculates the percentage of hospitals willing to rehire medical technicians who have been away from that career for x years.

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Chapter 11 Solutions

Year of Inactivity, x	Percent of Hospitals Willing to Hire, y
0.5	100
1.5	94
4	75
8	44
13	28
18	17