A manufacturing firm has developed a skills test, the scores from which can be used to predict workers' production rating factors. 0 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.) Y = 6.026 + 0.909 X where Y = Production rating and X = Test score. b. If a worker's test score was 79, what would be your forecast of the worker's production rating? 78 (Enter your response as an infeger.) 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 0.959' and the coefficient of determination is 0.920'. (Enter your responses rounded to three decimal places.) There is relationship. The regression equation explains |:|% of variation in ratings. (Enter your response as an integer.) Test Production Test Production Worker Worker Score Rating Score Rating 54 45 K 57 59 37 49 74 77 91 89 66 66 85 79 30 28 87 84 59 51 C -IA TMOOWD 65 75 23 27 48 49 77 84 49 48 33 34 40 40 52 60 68 76 38 32