The scatter plot shows the number of years of experience, x, and the hourly pay rate, y, for each of 25 cashiers in New York. (a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit. (b) Using your equation from part (a), predict the hourly pay rate for a cashier with 10 years of experience. Note that you can use the graphing tools to help you approximate the line. 22- 20 18- (a) Write an approximate equation of the line of best fit. 16- y =|| 14- Pay 12- (in dollars per hour (b) Using your equation from part (a), predict the hourly 10- pay rate for a cashier with 10 years of experience. 8. 246g 10 18 20 22 12 14 16 Years of experience

College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter1: Equations And Graphs
Section1.3: Lines
Problem 92E
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Question #27
y
22-
20
18+
16-
14-
Pay
12-
in dollars
10-
Aper hour
6
2+
2
4
6
8
10
12
14
16
18
20 22
Years of experience
Transcribed Image Text:y 22- 20 18+ 16- 14- Pay 12- in dollars 10- Aper hour 6 2+ 2 4 6 8 10 12 14 16 18 20 22 Years of experience
The scatter plot shows the number of years of experience, x, and the hourly pay rate, y, for each of 25 cashiers in New York.
(a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit.
(b) Using your equation from part (a), predict the hourly pay rate for a cashier with 10 years of experience.
Note that you can use the graphing tools to help you approximate the line.
'y
22
(a) Write an approximate equation of the line of best fit.
18
y =
16
(b) Using your equation from part (a), predict the hourly
pay rate for a cashier with 10 years of experience.
Pay
12-
(in dollars
(per hour
8-
10 12 14 16
Years of experience
Transcribed Image Text:The scatter plot shows the number of years of experience, x, and the hourly pay rate, y, for each of 25 cashiers in New York. (a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit. (b) Using your equation from part (a), predict the hourly pay rate for a cashier with 10 years of experience. Note that you can use the graphing tools to help you approximate the line. 'y 22 (a) Write an approximate equation of the line of best fit. 18 y = 16 (b) Using your equation from part (a), predict the hourly pay rate for a cashier with 10 years of experience. Pay 12- (in dollars (per hour 8- 10 12 14 16 Years of experience
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