Step 6: Multiple Regression: Predicting the Total Number of Wins using Average Points Scored, Average Relative Skill, and Average Points Differential

The coach also wants you to consider the average points differential as a predictor variable in the multiple regression model. Create a multiple regression model with the total number of wins as the response variable, and average points scored, average relative skill, and average points differential as predictor variables. This regression model will help your coach predict how many games your team might win in a regular season based on metrics like the average score, average relative skill, and the average points differential between the team and their opponents.

You are to write this code block yourself.

Use Step 5 to help you write this code block. Here is some information that will help you write this code block. Reach out to your instructor if you need help.

1. The dataframe used in this project is called nba_wins_df.
2. The variable avg_pts represents average points scored by each team in a regular season.
3. The variable avg_elo_n represents average relative skill of each team in a regular season.
4. The variable avg_pts_differential represents average points differential between each team and their opponents in a regular season.
5. Print the model summary.

Write your code in the code block section below. After you are done, click this block of code and hit the Run button above. Reach out to your instructor if you need more help with this step.