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
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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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 ($)
58 000
45 000
42 000
55 000
79 000
77 500
51 000
65 000
a) Draw a scatter plot of the data.
b) Draw the line of best fit.
c) Create an equation for the line in the form y= mx + b
d) Describe the correlation. [
e) Using your GRAPH, extrapolate to predict the salary of an employee who has worked 15.
Show your work on the graph.
Transcribed Image Text:4. Sarah has compiled data from several employees on the same pay grid comparing the number of worked and salary level. years # Years Worked 10 7. 20 18 13 Salary ($) 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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