Please respond in Python Code taking into consideration the example output and the default template below. Thank you.

Default Template

# Import the necessary modules

nba = # Code to read in nbaallelo_slr.csv

# Perform multiple linear regression on pts, elo_i, and opp_pts results = # Code to perform multiple regression using statsmodels ols

# Create an analysis of variance table aov_table = # Code to create ANOVA table

# Print the analysis of variance table print(aov_table)

6.14 LAB: Multiple regression The nbaallelo_slr.csv data base contains information on 126315 NBA games between 1947 and 2015. The columns report the points made by one team, the Elo rating of that team coming into the game, the Elo rating of the team after the game, and the points made by the opposing team. - Load the data set into a data frame. - Use the ols function to perform a multiple linear regression with pts as the response variable and opp_pts and elo_i as the predictor variables. - Create an analysis of variance table using the results of the multiple regression. Ex: If the Elo rating of the team after the game, elo_n, is used instead of elo_i, the output is