Statistics are widely used in Major League Baseball. Are the number of runs batted in (RBI) correlated to a hitter's batting average (AVG)? The following is a chart of 25 baseball players' statistics from 2016. Let the explanatory variable xx  = RBI and the response variable y  = AVG. Player RBI HR AVG Salary (in millions) Justin Turner 90 27 0.277 5.100 Chris Iannetta 24 7 0.210 4.550 Coco Crisp 55 13 0.231 11.000 Adam Jones 83 29 0.265 16.000 Adrian Gonzalez 90 18 0.285 21.857 Jason Heyward 49 7 0.230 21.667 Jayson Werth 70 21 0.244 21.571 Evan Gattis 72 32 0.251 3.300 Jorge Soler 31 12 0.238 3.667 Brian McCann 58 20 0.242 17.000 David Ortiz 127 38 0.315 16.000 Chris Davis 84 38 0.221 21.119 Matt Wieters 66 17 0.243 15.800 J.D. Martinez 68 22 0.307 6.750 Leonys Martin 47 15 0.245 4.150 Hunter Pence 57 13 0.289 18.500 Aaron Hill 38 10 0.262 12.000 Jean Segura 64 20 0.320 2.600 Shin-Soo Choo 17 7 0.242 20.000 Mike Trout 100 29 0.315 16.083 Ben Zobrist 76 18 0.272 10.500 Curtis Granderson 59 30 0.237 16.000 Joe Mauer 49 11 0.261 23.000 Ryan Braun 91 31 0.305 20.000 Jacoby Ellsbury 56 9 0.263 21.143 Determine the correlation coefficient. (Round your answer to 4 decimal places.) Find the slope, y-intercept, and equation of the least-squares line ˆy=a+bxy^=a+bx . a= (Round to 4 decimal places.) b  =  (Round to 4 decimal places.) y^ =   For a batter with 28 RBIs, determine the hitter's predicted batting average. (Round to 3 decimal places.)

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Statistics are widely used in Major League Baseball. Are the number of runs batted in (RBI) correlated to a hitter's batting average (AVG)? The following is a chart of 25 baseball players' statistics from 2016. Let the explanatory variable xx  = RBI and the response variable y  = AVG.

Player RBI HR AVG Salary (in millions)
Justin Turner 90 27 0.277 5.100
Chris Iannetta 24 7 0.210 4.550
Coco Crisp 55 13 0.231 11.000
Adam Jones 83 29 0.265 16.000
Adrian Gonzalez 90 18 0.285 21.857
Jason Heyward 49 7 0.230 21.667
Jayson Werth 70 21 0.244 21.571
Evan Gattis 72 32 0.251 3.300
Jorge Soler 31 12 0.238 3.667
Brian McCann 58 20 0.242 17.000
David Ortiz 127 38 0.315 16.000
Chris Davis 84 38 0.221 21.119
Matt Wieters 66 17 0.243 15.800
J.D. Martinez 68 22 0.307 6.750
Leonys Martin 47 15 0.245 4.150
Hunter Pence 57 13 0.289 18.500
Aaron Hill 38 10 0.262 12.000
Jean Segura 64 20 0.320 2.600
Shin-Soo Choo 17 7 0.242 20.000
Mike Trout 100 29 0.315 16.083
Ben Zobrist 76 18 0.272 10.500
Curtis Granderson 59 30 0.237 16.000
Joe Mauer 49 11 0.261 23.000
Ryan Braun 91 31 0.305 20.000
Jacoby Ellsbury 56 9 0.263 21.143

Determine the correlation coefficient. (Round your answer to 4 decimal places.)

Find the slope, y-intercept, and equation of the least-squares line ˆy=a+bxy^=a+bx .

a= (Round to 4 decimal places.)

b  =  (Round to 4 decimal places.)

y^ =  

For a batter with 28 RBIs, determine the hitter's predicted batting average.

(Round to 3 decimal places.)

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