Machine Learning, Data Science, Python, Statistics, Data.
regression model, we can use the summary() function to interpret the results: print(model.summary()) The summary() function will return a table that contains the coefficients, standard errors, t-values, and p-values of our linear regression model. We can use this table to interpret the results and