The problem facing a manager is to assess the impact of factors onfull-time (FT) job growth.Specifically, the manager is interest in the impact of total worldwide revenues andfull-time voluntary turnover on the number offull-time jobs added in a year. Data were collected from a sample of 20 "best companies to workfor." The data includes the total number offull-time jobs added in the pastyear, total worldwide revenue(in $millions), and thefull-time voluntary turnover(%). Use the accompanying data to complete parts(a) through(d) below.

Coefficients Standard Error tStat PValue

Intercept -491.9349953 615.475449 -0.79928 0.435156

Total WW REV 0.77201812 0.060360031 1.279022 0.218073

FT VOL T/O 74.86827201 48.93188797 1.530051 0.144399

Lower 95% Upper 95% Lower 95.0% Upper 95.0%

Intercept -1790.47 806.6047 -1790.47 806.6047

Total WW REV -0.05015 0.20455 -0.05015 0.20455

FT VOL T/O -28.369 178.1055 -28.369 178.1055

Yi=-492+X1I (0.772)+ X2I (74.9)

What conclusions can you reach concerning full-time jobs added? Select the correct choice:

a. The model used the voluntary turnover to predict the number of full-time jobs added. The revenue only affects the voluntary turnover directly.

b. The model uses both the revenue and the voluntary turnover to predict the number of full-time jobs added.

c. The model uses the revenue or the voluntary turnover to predict the number of full-time jobs added, but not both.

d. The model uses the revenue to predict the number of full-time jobs added. The voluntary turnover only affects the efficiency ratio directly.