Test Production Test Production Worker Worker Score Rating Score Rating ABCDEFGHI 48 45 31 48 89 89 79 79 81 84 59 68 48 49 43 48 34 41 J 22 62 76 KLMNOPORST 49 59 68 77 60 58 24 28 50 51 17 27 Q 71 86 27 34 36 60 32 32 A manufacturing firm has developed a skills test, the scores from which can be used to predict workers' production rating factors Click the icon to view the data on the test scores of various workers and their subsequent production ratings. a. Using POM for Windows' least squares-linear regression module, develop a relationship to forecast production ratings from test scores. (Round your responses to three decimal places and include a minus sign if necessary.) where Y = Production rating and X = Test score. Y=+X b. If a worker's test score was 85, what would be your forecast of the worker's production rating? (Enter your response as an integer) c. Comment on the strength of the relationship between the test scores and production ratings. The coefficient of correlation for the least-squares regression model is (Enter your responses rounded to three decimal places.) There is response as an integer) and the coefficient of determination is relationship. The regression equation explains % of variation in ratings (Enter your