Please provide answer in Python code taking the below example output and default template into consideration. Thank you

Default Template

# Import the necessary modules

nba = # Code to read in nbaallelo_mlr.csv

# Recode the column game_result into a dummy variable, win, with W = 1 and L = 0

# Perform multiple linear regression with pts as the response variable and elo_i, win, ans opp_pts # in that order, as the predictor variables 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)

The nbaallelo_mlr.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, whether the team won or lost, and the points made by the opposing team. - Load the data set into a data frame. - Recode the categorical variable game_result into a dummy variable, win. - Use the ols function to perform a multiple regression with pts as the response variable and elo_i, win, and opp_pts, in that order, 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