(Solved): A sports analyst for Major League Baseball wonders whether there is a relationship between a pitche ...

A sports analyst for Major League Baseball wonders whether there is a relationship between a pitcher's salary (in $\$$ millions) and his earned run average (ERA). The accompanying table lists a portion of the data that she collected for 10 pitchers. D Click here for the Excel Data File a-1. Estimate the model: salary $={?}_0+{?}_{1}ERA+c$. (Negative values should be indicated by a minus sign. Enter your answers, in millions, rounded to 2 decimal places.) a-2. Interpret the coefficient of ERA. A one-unit increase in ERA, predicted salary decreases by $\$2.18$ million. A one-unit increase in ERA, predicted salary increases by $\$2.18$ million. A one-unit increase in ERA, predicted salary decreases by $\$8.85$ million. A one-unit increase in ERA, predicted salary increases by $\$8.85$ million. b. Use the estimated model to predict salary for Player 1 and Player 2. For example, use the sample regression equation to predict the salary for $\mathrm{J}$. Santana with ERA $=2.22$. (Do not round intermediate calculations. Round your final answers (in millions) to 2 decimal places.) c. Derive the corresponding residuals for Player 1 and Player 2 . (Negative values should be indicated by a minus sign. Round your final answers (in miltions) to 2 decimal places.)