The following is a chart of 25 baseball players' salaries and statistics from 2019. Player Name RBI's HR's AVG Salary (in millions) Paul DeJong 78 30 0.233 1.667 Carlos Santana 93 34 0.281 20.333 Ian Desmond 65 20 0.255 15.000 Whit Merrifield 74 16 0.303 1.000 Jean Segura 60 12 0.280 14.950 Christian Vazquez 72 23 0.276 2.850 Josh Reddick 56 14 0.275 13.000 Khris Davis 73 23 0.221 16.500 Jose Martinez 42 10 0.270 1.125 Shin-Soo Choo 61 24 0.265 21.000 Tucker Barnhart 40 11 0.231 2.938 Elvis Andrus 72 12 0.275 15.250 Albert Pujols 93 23 0.244 28.000 Adam Jones 67 16 0.260 4.500 Melky Cabrera 47 7 0.280 1.150 Michael Brantley 90 22 0.311 16.000 Kevin Kiermaier 55 14 0.228 8.167 Eduardo Escobar 118 35 0.269 6.167 Bryce Harper 114 35 0.260 11.538 Xander Bogaerts 117 33 0.309 12.000 Gordon Beckham 15 6 0.215 0.700 Kolten Wong 59 11 0.285 6.500 Jason Heyward 62 21 0.252 22.500 Marwin Gonzalez 55 15 0.264 12.000 Paul Goldschmidt 97 34 0.260 15.500
The following is a chart of 25 baseball players' salaries and statistics from 2019.
| Player Name | RBI's | HR's | AVG | Salary (in millions) |
|---|---|---|---|---|
| Paul DeJong | 78 | 30 | 0.233 | 1.667 |
| Carlos Santana | 93 | 34 | 0.281 | 20.333 |
| Ian Desmond | 65 | 20 | 0.255 | 15.000 |
| Whit Merrifield | 74 | 16 | 0.303 | 1.000 |
| Jean Segura | 60 | 12 | 0.280 | 14.950 |
| Christian Vazquez | 72 | 23 | 0.276 | 2.850 |
| Josh Reddick | 56 | 14 | 0.275 | 13.000 |
| Khris Davis | 73 | 23 | 0.221 | 16.500 |
| Jose Martinez | 42 | 10 | 0.270 | 1.125 |
| Shin-Soo Choo | 61 | 24 | 0.265 | 21.000 |
| Tucker Barnhart | 40 | 11 | 0.231 | 2.938 |
| Elvis Andrus | 72 | 12 | 0.275 | 15.250 |
| Albert Pujols | 93 | 23 | 0.244 | 28.000 |
| Adam Jones | 67 | 16 | 0.260 | 4.500 |
| Melky Cabrera | 47 | 7 | 0.280 | 1.150 |
| Michael Brantley | 90 | 22 | 0.311 | 16.000 |
| Kevin Kiermaier | 55 | 14 | 0.228 | 8.167 |
| Eduardo Escobar | 118 | 35 | 0.269 | 6.167 |
| Bryce Harper | 114 | 35 | 0.260 | 11.538 |
| Xander Bogaerts | 117 | 33 | 0.309 | 12.000 |
| Gordon Beckham | 15 | 6 | 0.215 | 0.700 |
| Kolten Wong | 59 | 11 | 0.285 | 6.500 |
| Jason Heyward | 62 | 21 | 0.252 | 22.500 |
| Marwin Gonzalez | 55 | 15 | 0.264 | 12.000 |
| Paul Goldschmidt | 97 | 34 | 0.260 | 15.500 |
In order 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.
Regression Equation: y=y=
Do you have significant correlation?
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=
Do you have significant correlation?
AVG vs. Salary
Complete a correlation analysis, using AVG as the x-value and salary as the y-value.
Correlation coefficient:
Regression Equation: y=
Do you have significant correlation?
Prediction
Based on your analysis, if you had to predict a player's salary, which method would be the best?
Using that method, predict the salary for DJ LeMahieu. His stats were:
RBI: 102
HR: 26
AVG: 0.327
Based on your analysis, his predicted salary would be: $ million
His actual salary was $12.000 million.
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