The following table lists a portion of Major League Baseball's (MLB's) leading pitchers, each pitcher's salary (In $ millions), and earned un average (ERA) for 2008 Salary ERA J. Santana 12.0 2 .29 C. Lee 2.0 2.53 C. Hamels 0 .3 2. 66 Click here for the Excel Data File a-1. Estimate the model: Salary = So + $1 ERA + E. (Negative values should be indicated by a minus sign. Enter your answers, in millions, rounded to 2 decimal places.) Salary = + ERA a-2. Interpret the coefficient of ERA. A one-unit increase in ERA, predicted salary decreases by $7.16 million. O A one-unit increase in ERA, predicted salary increases by $716 million. O A one-unit increase in ERA, predicted salary decreases by $16.73 million. A one-unit increase in ERA, predicted salary increases by $16.73 million. b. Use the estimated model to predict salary for each player, given his ERA. For example, use the sample regression equation to predict the salary for J. Santana with ERA = 2.29. (Round coefficient estimates to at least 4 decimal places and final answers, in millions, to 2 decimal places.) Predicted Salary (in $ millions) J. Santana C. Lee T. Lincecum C. Sabathia R. Halladay J. Peavy D. Matsuzaka R. Dempster B. Sheets C. Hamelsc. Derive the corresponding residuals. (Negative values should be indicated by a minus sign. Round coefficient estimates to at least 4 decimal places and final answers, in millions, to 2 decimal places.) Residual e=y-y J. Santana C. Lee T. Lincecum C. Sabathia R. Halladay J. Peavy D. Matsuzaka R. Dempster B. Sheets C. Hamels\f