e. Plot a histogram of the away score variable. (4 points) Done f. Plot a histogram of the away score variable, but with the following edits: i. Specify 25 breaks with the \"breaks\" argument. (4 points) Done ii. Draw lines in the histogram bars (you can specify the angle and number of lines to whatever you want). (4 points) Done iii. Finally, add your own title, subtitle, y-axis label, and x-axis label to the histogram. These titles and labels don't need to make any sense, just make them different than the default. (6 points) Done iv. Copy and paste this histogram into this word document. (2 points) Away Scores 93' 8 $5? \" g??? 6 6???? a v ; 8 v/ a \" I a z'? 'z// r / fz zfr 0 fr/ z/z O / 'f' r '5' /x D 26% agaz Team Scores g. Lastly, the pairs() argument to plot a matrix of scatterplots. Use the formula argument to include only the home.score, away.score, and attendance variables (so it will be a 3x3 matrix). See page 187 for how to do this (your data is likely called \"a\"). Copy and paste this scatterplot matrix here. (6 points) 2) Answer the following question: What can boxplots be used to detect? (2 points) Boxplots can be used to detect outliers, answers that are far off from the data set. 3) Chapter 7 includes many different useful skills and code for practical issues with regard to data management. Because I will be giving you most of the data in this course, you will not use these much. However, keep this chapter handy as a reference for any independent data analysis you may do in the future! Done 4) Chapter 8 includes a lot of programming tips. We will not use any (or maybe only a little) of the information in this chapter. If you pursue programming or data analysis in R further in your career or education, keep this chapter as a reference. Done