State the multiple regression equation. Let Upper X 1 represent the Total Worldwide Revenues ($millions) and let Upper X 2 represent the FT Voluntary Turnover (%). ModifyingAbove Upper Y with caret Subscript iequals enter your response hereplusleft parenthesis nothing right parenthesis Upper X Subscript 1 iplusleft parenthesis nothing right parenthesis Upper X Subscript 2 i (Round the constant and Upper X Subscript 2 i-coefficient to the nearest integer as needed. Round the Upper X Subscript 1 i-coefficient to four decimal places as needed.)

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 $millions), and the full-time voluntary turnover (%). Use the accompanying data to complete parts (a) through (d) below. a. State the multiple regression equation. Let X4 represent the Total Worldwide Revenues ($millions) and let X, represent the FT Voluntary Turnover (%). Y=+ (hxa+ (D% (Round the constant and X,;-coefficient to the nearest integer as needed. Round the X,;-coefficient to four decimal places as needed.) O Total FT Total Worldwide FT Voluntary Jobs Added Revenues ($millions)Turnover (%) 842 14,778.000 4.611 237 1,556.000 3.402 - 57 11,500.000 5.390 314 3,319.000 18.283 86 696.200 5.233 415 8,843.900 4.504 -16 380.941 11.827 -973 7,998.700 8.329 224 2,870.000 1.771 102 1,809.017 5.529 138 6,841.496 6.007 60 9,502.000 4.908 115 609.248 13.780 -1,003 3,949.000 16.123 21 276.616 6.375 2,673 31,300.000 12.632 281 382.000 11.221 1,357 27,706.772 3.346 207 46,100.000 5.728 7,082 11,700.000 9.603