Statistics, Regression, Data Science, Machine Learning, AI.
= sm.OLS(y_train, X_train).fit() print(model.summary(alpha = 0.05)) There are many insights that can be extracted from the summary above. Let’s start by observing the features and their coefficients. Remember the linear regression equation: The Intercept(β₀) is equal to 151.0082. It means that the