please help with R program

LeMahieu 0.327 61 312 0.893 1.95

Urshela 0.314 55 236 0.889 3.48

Torres 0.278 64 292 0.871 2.64

Judge 0.272 46 204 0.921 2.21

Sanchez 0.232 47 208 0.841 3.13

Wong 0.285 40 202 0.784 1.76

Molina 0.27 34 167 0.711 2.52

Goldschmidt 0.26 60 284 0.821 2.13

Ozuna 0.243 53 230 0.804 1.84

DeJong 0.233 62 259 0.762 2.39

Altuve 0.298 61 275 0.903 1.98

Bregman 0.296 80 328 1.015 0.69

Springer 0.292 62 283 0.974 1.69

Reddick 0.275 36 205 0.728 1.83

Chirinos 0.238 40 162 0.791 2.45

Bellinger 0.305 84 351 1.035 1.14

Turner 0.29 51 244 0.881 1.72

Seager 0.272 64 236 0.817 2.23

Taylor 0.262 45 169 0.794 3.11

Muncy 0.251 58 251 0.889 1.65

Meadows 0.291 69 296 0.922 2.43

Garcia 0.282 47 227 0.796 4.03

Pham 0.273 56 255 0.818 1.52

Choi 0.261 41 188 0.822 1.69

Adames 0.254 46 222 0.735 3.32

Yelich 0.329 76 328 1.101 1.48

Braun 0.285 55 232 0.849 3.09

Moustakas 0.254 66 270 0.845 1.85

Grandal 0.246 56 240 0.848 1.28

Arcia 0.223 32 173 0.633 2.53

Save this file in your working directory, and assign it to batters in R. 1. [5 points] Use R to construct scatterplots for all pairs of attributes. (As there are five attributes, you will create a total of ten scatterplots.) Among this set of plots, choose the one that best displays linear correlation, and paste only that scatterplot below. In a sentence or two, justify your attribute pair selection. 2. [10 points) For the attribute pair you selected in Problem 1, construct the linear model using the Im command, provide a summary of values using the summary command, and draw the regression line on top of your scatterplot using the abline command. Give all R code and output, including the new plot containing both the points and the regression line, below. 3. [10 points Suppose now that you wish to introduce a third attribute, and provide a multiple linear regression model that pairs the new attribute with the two attributes for which you provided a simple linear regression model. Which attribute will you choose as your third, and why? Justify your choice in a sentence or two. Use the Im and summary commands to construct the new linear model, and to list a summary of values. Provide all R code and output below