Your company has identified your engineers it would like to hire. The company want 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:

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

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.

Price: $8.47

Solution: The downloadable solution consists of 5 pages, 347 words and 4 charts.
Deliverable: Word Document