Question

The following is a chart of 25 baseball players' salaries and statistics from 2016 Player Name Salary (in millions) RBI's HR'S AVG Mike Trout 0.315 100 29 16.083 0.261 Joe Mauer 49 11 23.000 Victor Martinez 86 27 0.289 18.000 Albert Pujols 119 31 0.268 25.000 Hanley Ramirez 111 30 0.286 22.750 Jayson Werth 21.571 70 21 0.244 Buster Posey 0.288 80 14 20.802 Rajai Davis Adam Jones 48 12 0.249 5.950 0.265 83 29 16.000 Joey Votto 97 29 0.326 20.000 0.246 22.125 Justin Upton 87 31 Chris lannetta 4.550 24 0.210 Matt Wieters 66 17 0.243 15.800 Shin-Soo Choo 17 0.242 20.000 Ryan Braun 91 31 0.305 20.000 Brian McCann 58 20 0.242 17.000 Jacoby Ellsbury 21.143 56 9 0.263 3.300 Evan Gattis 72 32 0.251 Logan Forsythe 20 2.750 52 0.264 David Ortiz 127 38 0.315 16.000 Adrian Gonzalez 90 18 0.285 21.857 0.285 Adrian Gonzalez 21.857 90 18 Jorge Soler 31 12 0.238 3.667 Prince Fielder 44 0.212 18.000 Troy Tulowitzki 79 24 0.256 20.000 Ryan Howard 59 25 0.196 25.000 In order to have correlation with 95% significance, what is the critical r-value that we would like to have? (Round to three decimal places for all answers on this assignment.) RBI vs. Salary Complete a correlation analysis, using RBI's as the x-value and salary as the y-value. Correlation coefficient Regression Equation: y Preview Do you have significant correlation Select an answer Yes HR vs. Salary No HR vs. Salary Complete a correlation analysis, using HR's as the x-value and salary as the y-value. Correlation coefficient: Regression Equation: y Preview Do you have significant correlation Select an answer Yes AVG vs. Salary No AVG VS. Salary Complete a correlation analysis, using AVG as the x-value and salary as the y-value. Correlation coefficient: Regression Equation: y Preview Do you have significant correlation Select an answer Yes Prediction No Prediction Based on your analysis, if you had to predict a player's salary, which method would be the best v Select an answer Regression equation with RBI's Regression equation with HR's Using that method, predict the salary for Yoenis Cespedes. His stats wer e: Regression equation with AVG The average of the 25 salaries RBI: 86 HR: 31 AVG: 0.284 Based on your analysis, his predicted salary would be: $ million His actual salary was $27.500 million

Answer 1

Critical r value = 0.396.



Which method? Regression equation with RBI's.
Predicted salary = 9.208 + (0.106 * 86) = $18.313 million.

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