Concept explainers
(a)
To graph: the data given in the table.
(a)

Explanation of Solution
Given data:
Table of year v/s Average salary
Graph:
Graph for the given table:
Year | Average Salary, S (in thousands of dollars) |
2012 | 55.5 |
2013 | 56.2 |
2014 | 56.8 |
2015 | 57.6 |
2016 | 58.4 |
2017 | 59.0 |
Interpretation:
Average salary constantly increases with year.
(b)
To find: Linear regression of model
(b)

Answer to Problem 22E
Linear regression of model is
Explanation of Solution
Given data:
Table of year v/s Average salary.
Formula used:
Slope intercept form:
Calculation:
Linear regression of the model:
For value of C put (2012, 55.5) in the equation
Linear regression of model is
Conclusion:
Linear regression of model is
(c)
Linear model is a good fit or not.
(c)

Answer to Problem 22E
Yes it is a good fit.
Explanation of Solution
Given data:
Table of year v/s Average salary.
Formula used:
Slope intercept form:
Calculation:
Yes this is a good fit because line of fit is have value nearly to original values.
Conclusion:
Yes it is a good fit.
(d)
Average salary for 2021 and 2026.
(d)

Answer to Problem 22E
Average salary for 2021 will be 63.6 thousands $ and for 2026 will be 68.1 thousand $.
Explanation of Solution
Given data:
Table of year v/s Average salary.
Formula used:
Slope intercept form:
Calculation:
Average salary for 2021 will be:
Average salary for 2026 will be:
It is a reasonable answer because as the graph is increasing with year.
Conclusion:
Average salary for 2021 will be 61.8 thousands $ and for 2026 will be 65.3 thousand $.
Chapter 1 Solutions
EP PRECALC.GRAPHING APPR.-WEBASSIGN-1YR
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