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The Information Below Is from the Multiple Regression Analysis Computer

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The information below is from the multiple regression analysis computer output for 28 teams in Major League Baseball. The model is designed to predict wins using attendance, payroll, batting average, home runs, stolen bases, errors, and team ERA. The information below is from the multiple regression analysis computer output for 28 teams in Major League Baseball. The model is designed to predict wins using attendance, payroll, batting average, home runs, stolen bases, errors, and team ERA.       The standard error of estimate is: A)  4.467 B)  5.698 C)  5.864 D)  19.977 E)  15.917 The information below is from the multiple regression analysis computer output for 28 teams in Major League Baseball. The model is designed to predict wins using attendance, payroll, batting average, home runs, stolen bases, errors, and team ERA.       The standard error of estimate is: A)  4.467 B)  5.698 C)  5.864 D)  19.977 E)  15.917 The information below is from the multiple regression analysis computer output for 28 teams in Major League Baseball. The model is designed to predict wins using attendance, payroll, batting average, home runs, stolen bases, errors, and team ERA.       The standard error of estimate is: A)  4.467 B)  5.698 C)  5.864 D)  19.977 E)  15.917 The standard error of estimate is:


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