The following is a chart of 25 baseball players' salaries and statistics from 2016. Player Name RBI's HR's AVG Salary (in millions) Justin Turner 90 27 0.277 5.100 Leonys Martin 47 15 0.245 4.150 Hunter Pence 57 13 0.289 18.500 Brandon Crawford 84 12 0.275 6.000 Logan Forsythe 52 20 0.264 2.750 Adrian Gonzalez 90 18 0.285 21.857 Mike Trout 100 29 0.315 16.083 Prince Fielder 44 8 0.212 18.000 Victor Martinez 86 27 0.289 18.000 Buster Posey 80 14 0.288 20.802 Matt Wieters 66 17 0.243 15.800 Joey Votto 97 29 0.326 20.000 J.D. Martinez 68 22 0.307 6.750 Aaron Hill 38 10 0.262 12.000 Mark Teixeira 44 15 0.204 23.125 Shin-Soo Choo 17 7 0.242 20.000 Rajai Davis 48 12 0.249 5.950 Carlos Gonzalez 100 25 0.298 17.454 Hanley Ramirez 111 30 0.286 22.750 Troy Tulowitzki 79 24 0.256 20.000 Adam Jones 83 29 0.265 16.000 Denard Span 53 11 0.266 5.000 Matt Holliday 62 20 0.246 17.000 Brian McCann 58 20 0.242 17.000 Justin Upton 87 31 0.246 22.125 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=y= 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=y= AVG vs. Salary Complete a correlation analysis, using AVG as the x-value and salary as the y-value. Correlation coefficient: Regression Equation: y=y= Mean Salary What is the mean salary of the listed players:
The following is a chart of 25 baseball players' salaries and statistics from 2016.
Player Name | RBI's | HR's | AVG | Salary (in millions) |
---|---|---|---|---|
Justin Turner | 90 | 27 | 0.277 | 5.100 |
Leonys Martin | 47 | 15 | 0.245 | 4.150 |
Hunter Pence | 57 | 13 | 0.289 | 18.500 |
Brandon Crawford | 84 | 12 | 0.275 | 6.000 |
Logan Forsythe | 52 | 20 | 0.264 | 2.750 |
Adrian Gonzalez | 90 | 18 | 0.285 | 21.857 |
Mike Trout | 100 | 29 | 0.315 | 16.083 |
Prince Fielder | 44 | 8 | 0.212 | 18.000 |
Victor Martinez | 86 | 27 | 0.289 | 18.000 |
Buster Posey | 80 | 14 | 0.288 | 20.802 |
Matt Wieters | 66 | 17 | 0.243 | 15.800 |
Joey Votto | 97 | 29 | 0.326 | 20.000 |
J.D. Martinez | 68 | 22 | 0.307 | 6.750 |
Aaron Hill | 38 | 10 | 0.262 | 12.000 |
Mark Teixeira | 44 | 15 | 0.204 | 23.125 |
Shin-Soo Choo | 17 | 7 | 0.242 | 20.000 |
Rajai Davis | 48 | 12 | 0.249 | 5.950 |
Carlos Gonzalez | 100 | 25 | 0.298 | 17.454 |
Hanley Ramirez | 111 | 30 | 0.286 | 22.750 |
Troy Tulowitzki | 79 | 24 | 0.256 | 20.000 |
Adam Jones | 83 | 29 | 0.265 | 16.000 |
Denard Span | 53 | 11 | 0.266 | 5.000 |
Matt Holliday | 62 | 20 | 0.246 | 17.000 |
Brian McCann | 58 | 20 | 0.242 | 17.000 |
Justin Upton | 87 | 31 | 0.246 | 22.125 |
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=
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=y=
AVG vs. Salary
Complete a correlation analysis, using AVG as the x-value and salary as the y-value.
Correlation coefficient:
Regression Equation: y=y=
Mean Salary
What is the mean salary of the listed players:
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