21. You work for a company in the marketing department. Your manager has tasked you with forecasting sales by month for the next year. You notice that over the past 12 months sales have consistently gone up in a linear fashion, so you decide to run a regression the company's sales history. If 10 months are sampled and the regression output is given below, report the regression equation. 6 Predictor Coef s tdev i-ratio Const 680 . 829 137 . 7956 4. 94 0 . 0011 time 20 .139 21.1886 0.95 0. 3697 5 - 80. 158 R-80 = 10 . 15 R-8q(adj) = -1.095 Analysis of Variance SOURCE SS MS D Regression 5804 . 5 5804 . 5 Error 0 . 3697 51401 . 8 6425 .2 Total 57206 . 3 a. (time) = 20.139*(sales) + 680.829 b. (time) = 680.829*(sales) + 20.139 C. (sales) = 680.829"(time) + 20.139 d. (sales) = 20.139*(time) + 680.829 e. (sales) = 20.139"(time)