. Question 9 A multiple regression analysis to assess the effects of age and wage ($/hr) on productivity units produced the following output: Coefficient Standard Error t-stat p-value Intercept 22.069 9.718 2.271 0.0344 Age 1.829 0.941 1.943 0.0662 Wage -1.133 0.568 -1.995 0.0598 a) Estimate the productivity units for a 45-year-old earning $20/hr. Round to the nearest whole number. b) Which of the following best interprets the regression coefficient for Age? O For each additional year in age, productivity units on average increase by 1.829 assuming wage is held constant. O For each additional year in age, wage on average decreases by -1.133 assuming productivity is held constant. O For each additional productivity unit, age on average increases by 1.829 assuming wage is held constant. O For each additional dollar in wage, age increases by 1.829, on average, assuming productivity is held constant.. Question 10 A multiple regression analysis involving a sample size of 28 and 4 independent variables produced an output with explained and total variation as follows: SSR = 10062.5 SST = 13656.25 The standard error of the estimate =. Question 14 Match each of the following regression formulas with a term that defines it in the drop- down. v x (n - k - 1) SSR SSE + SSR SSE + SSR SST - SSEQuestion 5 Given the following multiple regression equation: 9 = 25 - 721 + 3x2 + 323 Select the direction of change in y and enter a positive integer in the answer box. a) If x1 increases by 4 units while holding x2 and 23 constant, then v Select an answer units on average. decreases increases b) If x2 increases by 6 units while holding a1 and r3 constant, then y |Select an answer vo by units on average. c) If x3 increases by 2 units while holding , and x2 constant, then y Select an answer v] by units on average.Question 14 Match each of the following regression formulas with a term that defines it in the drop down. x (n - k - 1) Total Variation Coolficient of determination SSR Residual Sum of squared residuals SE + SSR F-stat Standard error of the estimate SE + SSR Slope Mean Square Error ST - SSE y-intercept Explained Variation Adjusted R square QUE Coefficient of correlation ctor Mean Square Regression C Regression coefficientQuestion 3 Score on last try: 1 of 2 pts. See Details for more. Next question You can retry this question below Given the following multiple regression equation: y = 23 + 18x1 - 20r2 Select the direction of change in y and enter a positive integer in the answer box. a) If 1 increases by 1 unit while holding 2 constant, then y Increases by units on average. b) If 2 increases by 1 unit while holding 1 constant, then y decreases by units on average