Engineers salaries

Your company has identified four engineers it would like to hire. The company wants to offer these people salaries in line with the other engineers it employs.

You are given data (engineers.sav) on the years of professional experience, the years of engineering education, the number of positions held, the number of employees supervised, and the number of patents held for a random sample of 25 current employees of the company. Note: Employees supervising 100 or more other employees are considered managers, not engineers.

You are asked to use this information to recommend salaries for the following individuals:

Prospective employee	Years of experience	Years of education	Positions held	Employees supervised	Patents held
1	20	4	1	0	10
2	10	5	5	20	0
3	5	6	2	1	1
4	3	8	1	0	3

Make your recommendations, using a range of salaries for each prospective employee, and write a short memo justifying your recommendations. Attach pertinent computer output.

Things to consider:

Do you need to use all 5 variables as predictors? If not, how will you decide which ones to use?

Should any cases be excluded from the data set? If so, explain why.