Are the biggest scorers in basketball successful because they are accurate, or are they just hucking the ball at the hoop the most? Let's find out. Here's your data: basketball.xlsx I'd like you to see how well free throw percentage and field goal percentage predict the points per game that we can expect from a basketball player. Part 1 (5 pts): Pull the data in, and filter the columns you want to examine into a data frame. Print the top 5 records in your data frame. Part 2 (5 pts): Visualize the data by printing out scatter plots for each combination of your variables, and a histogram for each variable. In the comments, describe if the data looks good for analysis or not (based on the criteria we discussed in class and in the slides) Part 3 (5 pts): run the regression and output the results Part 4 (5 pts): interpret the results. In the comments, tell me which if any predictors appear to be valid and which if any don't. Also tell me how big of an impact any valid predictors appear to have on points per game. Are the biggest scorers in basketball successful because they are accurate, or are they just hucking the ball at the hoop the most? Let's find out. Here's your data: basketball.xlsx I'd like you to see how well free throw percentage and field goal percentage predict the points per game that we can expect from a basketball player. Part 1 (5 pts): Pull the data in, and filter the columns you want to examine into a data frame. Print the top 5 records in your data frame. Part 2 (5 pts): Visualize the data by printing out scatter plots for each combination of your variables, and a histogram for each variable. In the comments, describe if the data looks good for analysis or not (based on the criteria we discussed in class and in the slides) Part 3 (5 pts): run the regression and output the results Part 4 (5 pts): interpret the results. In the comments, tell me which if any predictors appear to be valid and which if any don't. Also tell me how big of an impact any valid predictors appear to have on points per game