In Problem 14.6 on page 483, you used full-time voluntary turnover(%), and total worldwide revenue ($billions) to predict number of full-time jobs added (stored in Best Companies).

a. Perform a residual analysis on your results.

b. If appropriate, perform the Durbin-Watson test, using a = 0.05. 

c. Are the regression assumptions valid for these data?

Problem 14.6

Human resource managers face the business problem of assessing the impact of factors on full-time job growth. A human resource manager is interested in the impact of full-time voluntary turnover a nd total worldwide revenues o n the number of full-time job openings at the beginning of a new year. Data are collected from a sample of 63 " best companies to work for." The total number of full-time job openings as of February 2017 , the full-time voluntary turnover in the past year (in % ), and the total worldwide revenue (in $ billion s) are recorded and stored in Best Companies.

a. State the multiple regression equation .
b. Interpret the meaning of the slopes, b₁ and b₂ , in this problem.
c. Interpret the meaning of the regression coefficient, b₀.
d. Which factor has the greatest effect on the number of full-time jobs added in the last year? Explain.