< Back This window shows your responses and what was marked correct and incorrect from your previous attempt. AutoSave OFF 13 A sports analyst

<.back this window shows your responses and what was marked correct incorrect from previous attempt. a sports analyst for major league baseball wonders whether there is relationship between pitcher salary millions his autosave off earned run average the accompanying table lists portion of data that she collected pitchers. home insert draw page layout era .0 calibri points awarded paste b i uv scored click here excel file a-1. estimate model: . values should be indicated by minus sign. enter answers in open recovered workbooks recent cha rounded to decimal places. l11 predicted x xera v fx c d e a-2. interpret coefficient era. one-unit increase decreases million. increases b. use estimated model predict player example sample regression equation j. santana with not round intermediate calculations. final c. derive corresponding residuals pitchers ready residual y>

< Back This window shows your responses and what was marked correct and incorrect from your previous attempt. AutoSave OFF 13 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. Home Insert Draw Page Layout A Pitcher Salary 1 17.0 ERA 2.28 2 3.0 2.39 Calibri (Body) 11 0/10 points awarded Scored 10 0.2 3.00 Paste BI U Click here for the Excel Data File a-1. Estimate the model: Salary = 0 + BERA + . (Negative values should be indicated by a minus sign. Enter your answers, in millions, rounded to 2 decimal places.) L11 Open recovered workbooks? Your recent chan fx Predicted Salary = 13.88 + ERA A B C D E 1 Pitcher a-2. Interpret the coefficient of ERA. A one-unit increase in ERA, predicted salary decreases by $3.20 million. A one-unit increase in ERA, predicted salary increases by $3.20 million. A one-unit increase in ERA, predicted salary decreases by $11.92 million. A one-unit increase in ERA, predicted salary increases by $11.92 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 J. Santana with ERA = 2.28. (Do not round intermediate calculations. Round your final answers (in millions) to 2 decimal places.) 8 234567% 2012 9 8 123456700 1 Salary 17 ERA 2.28 3 2.39 0.3 2.42 10 2.2 10 2.39 5.4 2.15 7.8 2.43 7.1 2.32 10 9 11.7 3.04 11 10 0.2 3 12 13 14 15 Player 1 2 Predicted Salary (in $ millions) 16 17 18 19 20 21 22 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.) Player 1 2 Residual ey Ready Pitchers +