(a) An estimated regression equation was developed relating the average number of runs given up per inning pitched given the average number of strikeouts per inning pitched and the averagenumber of home runs per inning pitched. What are the values of R and R,? (Round your answers to four decimal places.)aR2%3D(b) Does the estimated regression equation provide a good fit to the data? Explain.Considering the nature of the data, being able to explain slightly ---sSelect---O than 50% of the variability in the number of runs given up per inning pitched using just two independent variablesis---Select---(c) Suppose the earned run average (ERA) is used as the dependent variable in the estimated regression equation from (a) instead of the average number of runs given up per inning pitched. Does theestimated regression equation that uses the ERA provide a good fit to the data? Explain.Since---Select--- than 50% of the variability in the ERA can be explained by the linear effect of home runs per inning pitched (HR/IP) and strike-outs per inning pitched (SO/IP), this is---Select--O considering the complexity of predicting pitching performance.Submit Answor Major League Baseball (MLB) pitching statistics were reported for a random sample of 20 pitchers from the American League for one full season.PlayerTeamWLERAso/IPHR/IP R/IPVerlander, JDET2.401.000.100.29Beckett, JBOS1372.890.910.110.34Wilson, CTEX162.940.920.070.40Sabathia, CNYY193.000.970.070.37Haren, DLAA16103.170.810.080.38McCarthy, BOAK9.3.320.720.060.43Santana, ELAA11123.380.780.110.42Lester, JBOS1593.470.950.100.40Hernandez, FSEA14143.470.950.080.42Buehrle, MCWS133.590.530.100.45Pineda, MSEA9103.741.010.110.44Colon, BNYY8104.000.820.130.52Tomlin, JCLE1274.250.540.150.48Pavano, CMIN9.134.300.460.100.55Danks, JCWS8124.330.790.110.52Guthrie, JBAL9.174.330.630.130.54Lewis, CTEX14104.400.840.170.51Scherzer, MDET154.430.890.150.52Davis, WТВ11104.450.570.130.52Porcello, RDET149.4.750.570.100.57(a) An estimated regression equation was developed relating the average number of runs given up per inning pitched given the average number of strikeouts per inning pitched and the average24

Multiple linear regression model: A multiple linear regression model is given as y = b0 + b1x1 +…

Answered: Major League Baseball (MLB) pitching…

Major League Baseball (MLB) pitching statistics were reported for a random sample of 20 pitchers from the American League for one full season.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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