# Import the necessary modules

import pandas as pd

import numpy as np

from sklearn.linear$\_$model import LinearRegression

# Read in nbaallelo$\_$slr$.$csv

nba $=$ # Your code here

# Create a new column in the data frame that is the difference between pts and opp$\_$pts

nba$[\text{'}$y$\text{'}]=$ # Your code here

# Store relevant columns as variables

X $=$ # Your code here

y $=$ # Your code here

# Initialize the linear regression model

SLRModel $=$ # Your code here

# Fit the model on X and y

# Your code here

# Print the intercept

intercept $=$ # Your code here

print$(\text{'}$The intercept of the linear regression line is $\text{'},$ end$="")$

print$(\text{'}\%\mathrm{.}3$f$\text{'}\%$ intercept$[0]+".")$

# Print the slope

slope $=$ # Your code here

print$(\text{'}$The slope of the linear regression line is $\text{'},$ end$="")$

print$(\text{'}\%\mathrm{.}3$f$\text{'}\%$ slope$[0][0]+".")$

# Compute the proportion of variation explained by the linear regression using the LinearRegression object's score method

score $=$ # Your code here

print$(\text{'}$The proportion of variation explained by the linear regression model is $\text{'},$ end$="")$

print$(\text{'}\%\mathrm{.}3$f$\text{'}\%$ score $+".")$