Machine Learning, Data Science, Python, Statistics, Data.
regression model: model = smf.ols('Y ~ X1 + X2', data=data).fit() Here, we have built a linear regression model where ‘Y’ is the dependent variable and ‘X1’ and ‘X2’ are the independent variables. 6.2 Interpreting the Results Once we have built the linear regression model, we can use the summary()