Intro to Linear Regression: First Base Hitting Stats

# read in data

first_base = read.csv("firstbasestats.csv")

# View 'first_base' structure
str(first_base)

'data.frame':   23 obs. of  15 variables:
 $ Player            : chr  "Freddie Freeman" "Jose Abreu" "Nate Lowe" "Paul Goldschmidt" ...
 $ Pos               : chr  "1B" "1B" "1B" "1B" ...
 $ Team              : chr  "LAD" "CHW" "TEX" "STL" ...
 $ GP                : int  159 157 157 151 160 140 160 145 146 143 ...
 $ AB                : int  612 601 593 561 638 551 583 555 545 519 ...
 $ H                 : int  199 183 179 178 175 152 141 139 132 124 ...
 $ X2B               : int  47 40 26 41 35 27 25 28 40 23 ...
 $ HR                : int  21 15 27 35 32 20 36 22 8 18 ...
 $ RBI               : int  100 75 76 115 97 84 94 85 53 63 ...
 $ AVG               : num  0.325 0.305 0.302 0.317 0.274 0.276 0.242 0.251 0.242 0.239 ...
 $ OBP               : num  0.407 0.379 0.358 0.404 0.339 0.34 0.327 0.305 0.288 0.319 ...
 $ SLG               : num  0.511 0.446 0.492 0.578 0.48 0.437 0.477 0.423 0.36 0.391 ...
 $ OPS               : num  0.918 0.824 0.851 0.981 0.818 0.777 0.804 0.729 0.647 0.71 ...
 $ WAR               : num  5.77 4.19 3.21 7.86 3.85 3.07 5.05 1.32 -0.33 1.87 ...
 $ Payroll.Salary2023: num  27000000 19500000 4050000 26000000 14500000 ...