4. Sarah has compiled data from several employees on the same pay grid comparing the worked and salary level. # Years Worked 10 20 18 5. 13 Salary ($) 58 000 45 000 42 000 55 000 79 000 77 500 51 000 65 000 a) Draw a scatter plot of the data. b) Draw the line of best fit. c) Create an equation for the line in the form y = mx + b d) Describe the correlation. [ e) Using your GRAPH, extrapolate to predict the salary of an employee who has worked 15. Show your work on the graph.
4. Sarah has compiled data from several employees on the same pay grid comparing the worked and salary level. # Years Worked 10 20 18 5. 13 Salary ($) 58 000 45 000 42 000 55 000 79 000 77 500 51 000 65 000 a) Draw a scatter plot of the data. b) Draw the line of best fit. c) Create an equation for the line in the form y = mx + b d) Describe the correlation. [ e) Using your GRAPH, extrapolate to predict the salary of an employee who has worked 15. Show your work on the graph.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Question
Plz solve only part (a) and (e) within 30-40 mins I'll give you multiple upvote
![4. Sarah has compiled data from several employees on the same pay grid comparing the number of
worked and salary level.
years
# Years Worked
10
7.
20
18
13
Salary ($)
58 000
45 000
42 000
55 000
79 000
77 500
51 000
65 000
a) Draw a scatter plot of the data.
b) Draw the line of best fit.
c) Create an equation for the line in the form y= mx + b
d) Describe the correlation. [
e) Using your GRAPH, extrapolate to predict the salary of an employee who has worked 15.
Show your work on the graph.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4d89ade9-9487-47a7-a505-c08611d38a86%2Fb68fa0b5-a646-4def-b8e7-a33c51457d9b%2Ftjw9pr_processed.jpeg&w=3840&q=75)
Transcribed Image Text:4. Sarah has compiled data from several employees on the same pay grid comparing the number of
worked and salary level.
years
# Years Worked
10
7.
20
18
13
Salary ($)
58 000
45 000
42 000
55 000
79 000
77 500
51 000
65 000
a) Draw a scatter plot of the data.
b) Draw the line of best fit.
c) Create an equation for the line in the form y= mx + b
d) Describe the correlation. [
e) Using your GRAPH, extrapolate to predict the salary of an employee who has worked 15.
Show your work on the graph.
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