The problem facing a manager is to assess the impact of factors on full-time (FT) job growth. Specifically, the manager is interest in the impact of total worldwide revenues and full-time voluntary turnover on the number of full-time jobs added in a year. Data were collected from a sample of 20 "best companies to work for." The data includes the total number of full-time jobs added in the past year, total worldwide revenue (in Smillions), and the full-time voluntary turnover (%). Use the accompanying data to complete parts (a) through (d) below. Click the icon to view the data table. a. State the multiple regression equation. Data of Best Companies to Work For Let X, represent the Total Worldwide Revenues ($millions) and let X2 represent the FT Voluntary Turnover (%). Y, = 634 + (0.0243 ) X11 + (- 30 ) X2i (Round the constant and X2;-coefficient to the nearest integer as needed. Round the X,;-coefficient to four decimal places as needed.) FT Total Worldwide Voluntary b. Interpret the meanings of the slopes b, and b2 in this problem. Choose the correct answer below. Total FT Revenues Turnover Jobs Added $millions (%) 178 3,900.000 5.990 O A. For each increase of 1 in both Revenue and Turnover, the Jobs Added is estimated to increase by b, + b2. 95 706.757 10.535 3,949.000 16.123 O B. The slopes b, and b2 cannot be interpreted individually. - 1,003 1,160 3,651.328 6.168 O C. For a given Turnover, for each increase of $1 million in Revenue, the Jobs Added is estimated to increase by by . For a given Revenue, for each increase 1% in Turnover, the number of Jobs Added is estimated to increase by b2. 355 317.586 15.533 223 746.000 12.064 O D. For each increase of 1 in Jobs Added, the Revenue is estimated to increase by Sb, million and the Turnover percentage is estimated to increase by b2%. 486 12, 151.797 8.870 2,035 74,000.000 8.281 2,402 24,400.000 11.673 1,654 10,960.000 15.644 - 72 871.800 15.677 2,482 19,121.000 2.792 87 290.401 4.559 - 19 686.000 9.721 5 888.000 10.837 207 46, 100.000 5.728 1,357 27,706.772 3.346 415 8,843.900 4.504 314 3,319.000 18.283 252 860.815 10.310 Print Done