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. Below is the data.

Pitcher	Salary	ERA
1	11	2.52
2	3	2.38
3	0.4	2.23
4	9	2.15
5	10	2.02
6	5	2.68
7	8.3	2.68
8	6.1	2.56
9	10.9	2.68
10	0.2	2.96

A.) Estimate the model: Salary = 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 Pitcher 1 with ERA = 2.52.

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.)