a) Create a new variable called RD (for run differntial). RD = RS - RA.           b) Of the RS, RA, RD, OBP, SLG, and BA variables, which appears to be the best single predictor of W (Team wins)? c) Develop the best linear regression model that you can to predict W.

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Problem 2                      
The dataset below contains team performance data from Major League Baseball for several seasons.'  
Retain all work that you do to answer the questions below (can be placed on a new sheet).    
Notes on variables: RS = Runs Scored, RA = Runs Scored Against, W = Wins, OBP = On-base percentage  
SLG = slugging percentage, BA = batting average. All of these stats are given as team averages.     
                         
a) Create a new variable called RD (for run differntial). RD = RS - RA.          
b) Of the RS, RA, RD, OBP, SLG, and BA variables, which appears to be the best single predictor of W (Team wins)?
c) Develop the best linear regression model that you can to predict W.          
                         
Team League Year RS RA W OBP SLG BA RD       
ARI NL 2012 734 688 81 0.328 0.418 0.259 46      
ATL NL 2012 700 600 94 0.32 0.389 0.247 100      
BAL AL 2012 712 705 93 0.311 0.417 0.247 7      
BOS AL 2012 734 806 69 0.315 0.415 0.26 -72      
CHC NL 2012 613 759 61 0.302 0.378 0.24 146      
CHW AL 2012 748 676 85 0.318 0.422 0.255        
CIN NL 2012 669 588 97 0.315 0.411 0.251        
CLE AL 2012 667 845 68 0.324 0.381 0.251        
COL NL 2012 758 890 64 0.33 0.436 0.274        
DET AL 2012 726 670 88 0.335 0.422 0.268        
HOU NL 2012 583 794 55 0.302 0.371 0.236        
KCR AL 2012 676 746 72 0.317 0.4 0.265        

HOW DO I PLUG IN THE FORMULA RD=RS-RA to calculate the column?

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