The table shows the percentage P of an employee's annual salary S, in thousands of dollars, spent on the process of recruiting and training a replacement.
| S
= annual salary (thousands of dollars) |
P
= percentage of salary for recruiting |
|---|---|
| 20 | 15 |
| 30 | 16 |
| 40 | 19 |
| 60 | 45 |
| 70 | 50 |
Find the equation of the regression line. (Round regression line parameters to two decimal places.)
P(S) =
What cost does the regression line give for replacement of an employee who makes an annual salary of $50,000? (Round your answer to the nearest dollar.)
Here S (salary) is the independent variable and P (percentage) is the dependent variable.
We know that, trend line = P = a + b*S
Where,
a = {(∑P)*(∑S2) – (∑S)*(∑S*P)} / {(n)*(∑S2) – (∑S)*(∑S)}
b = {(n)*(∑S*P) – (∑S)*(∑P)} / {(n)*(∑S2) – (∑S)*(∑S)}
|
S (IN 1000s) |
P |
S*P |
S^2 |
|
20 |
15 |
300 |
400 |
|
30 |
16 |
480 |
900 |
|
40 |
19 |
760 |
1600 |
|
60 |
45 |
2700 |
3600 |
|
70 |
50 |
3500 |
4900 |
|
220 |
145 |
7740 |
11400 |
Here,
∑P = 145
∑S = 220
∑S*P = 7740
∑S2 = 11400
n = 5
Putting everything to find a and b
a = {(145*11400) – (220*7740)}/{(5*11400) – (220*220)}
= (1653000 – 1702800)/(57000 – 48400)
= -49800/8600
= -5.79
a = -5.79
b = {(5*7740) – (220*145)}/{(5*11400) – (220*220)}
= (38700 – 31900)/(57000 – 48400)
= 6800/8600
= 0.79
b = 0.79
Hence, P = 0.79*S – 5.79
For S = 50 (in 1000s)
P = 0.79*50 – 5.79 = 39.5 – 5.79 = 33.71 = 34
Hence For Salary 50000, P = 34
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