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lomework Assignment Major League Baseball ("LB) consis& of teams that play in the American League and the National League. MLB collects a wide variety Of team and player statistics. Some of the statistics often used to evaluate pitching perform.nc are ERA The average number of earned runs given up by the pitcher per nine innings. An earned run is any run that the Opponent cores off particular pitcher except for runs scored A result Of errors. SO/IP' The average of strikeouts per inning pitched, HR./IPI The average of home runs per inning pitched. The number of runs given up per inning pitched. The following data show values for these statistics for a random sample of 20 pitchers from the American League for a full season, Pla ver Verlander, j Beckett. Wilson, C Sabathia, C Harem D McCarthy, B Santana, E Lester, Hernandez, F Buehrle. M Pineda, M Colom B Tomlin, J pavano, C DankS, 3 Guthrie, J Lewis, C Scherzer, M Davis, W Porcello, R Tea m DET BOS OAK eos SEA cws SEA i CLE MIN cws BAL DET 24 13 16 19 16 li 14 13 12 14 11 1 14 10 12 10 10 13 12 17 10 10 ERA 2.40 2.88 2.94 3,01 3.16 3.33 3.37 3.47 3.58 3.75 4.00 4.25 4.29 4.34 4.34 4.41 4.43 4.45 4.75 30/19 0.99 0.91 0.91 0.98 0.81 0.71 0.78 0.95 0.96 0.52 1.00 0.83 0.54 0.47 0.79 0.62 0.83 0.88 0.58 0.56 HPJIP 0.09 0.01 0.06 0.09 0.07 0.11 0.10 0.09 0.11 0.10 0.14 0.16 0.09 0.11 0.14 0.17 0.16 0-14 0.11 0,30 0-35 0.40 0.37 o .43 0.41 0.41 0.4 i 0.46 0.51 0-52 oss a. Develop estimated equation that can be used to predict the average number of runs given up per inning given the average number of strikeoub per inning pitched (to 3 decimals). Enter as SO/IP b. Develop an t.mated regression equation that can be used to predict the average number of runs given up per inning given the average number of home runs per inning pitched (to 3 decimals). c. Develop an estimated regression equbon that can be used to predict the average number of runs given up per inning given the average number of strikeouts per inning pitched and the avenge number of inn.r,g 3 d. A. J. Burnett. a pitcher for the New York Yankees. had an average number of strikeouts per inning pitched of 0.91 and an average number of home runs per inning of 0.16. use the estimated regression equation developed (c) 2 (Note: The actual value for R./IP was 0-6). e. Suppose was made to also use the earned run average as another independent variable in part (c) (to 2 decimals). What do you think of this suggestion? This suggestion Select your v make sense. Near record 4.54 PM