A sports analyst for Major League Baseball wonders whether there is a relationship between a pitcher’s salary (in $ mill
Posted: Mon Jul 11, 2022 11:39 am
A sports analyst for Major League Baseball wonders whether thereis a relationship between a pitcher’s salary (in $ millions) andhis earned run average (ERA). The accompanying table lists aportion of the data that she collected for 10 pitchers.
a. Estimate the model: Salary= β0 + β1ERA+ ε. (Negative values should beindicated by a minus sign. Enter your answers, in millions, roundedto 2 decimal places.)
b. Use the estimated model to predictsalary for Player 1 and Player 2. For example, use the sampleregression equation to predict the salary for J. Santana with ERA =2.38. (Do not round intermediate calculations. Roundyour final answers (in millions) to 2 decimal places.)
c. Derive the corresponding residuals forPlayer 1 and Player 2. (Negative values should beindicated by a minus sign. Round your final answers (in millions)to 2 decimal places.)
a. Estimate the model: Salary= β0 + β1ERA+ ε. (Negative values should beindicated by a minus sign. Enter your answers, in millions, roundedto 2 decimal places.)
b. Use the estimated model to predictsalary for Player 1 and Player 2. For example, use the sampleregression equation to predict the salary for J. Santana with ERA =2.38. (Do not round intermediate calculations. Roundyour final answers (in millions) to 2 decimal places.)
c. Derive the corresponding residuals forPlayer 1 and Player 2. (Negative values should beindicated by a minus sign. Round your final answers (in millions)to 2 decimal places.)