Find the missing (lettered) values in the following ANOVA table for a multiple regression analysis. Regression 787.872 Residual 1313.12 Total 2100.992 The following ANOVA table shows parts of the software output generated in developing a multiple regression model. Regression 2 187.46 93.73 Residual 25 348.14 13.926 a) How many independent variables are in the model? a: a: c) What is the coefficient of determination? (1 decimal place) MC] b) What is the sample size? A multiple regression analysis to assess the effects of age and wage ($/hr) on productivity units produced the following output: mm m-- a) Estimate the productivity units for a 40yearold earning $44/hr. Round to the nearest whole number. C] b) Which of the following best interprets the regression coefficient for Wage? O For each additional productivity unit, wage on average decreases by 1.209 assuming age is held constant. 0 For each additional dollar in wage, productivity units on average decrease by 1.209 assuming age is held constant. 0 For each additional dollar in wage, age on average increases by 1.937 assuming productivity is held constant. 0 For each additional year in age, wage on average decreases by 1.209 assuming productivity is held constant