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. Click here for the Excel Data File a-1. Estimate the model: 5a lary =0+1ERA+. (Negative values should be indicated by a minus sign, Enter your answers, In millions, rounded to 2 decimal places.) 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 J. Santana with ERA = 2.51. (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 millions) to 2 decimal places.) Home Insert Draw Page Layout