--- title: ols_regression_summary description: Learn how to perform OLS regression using statsmodels in Python. Explore the parameters and returns of the function, including the data, target column, exogenous variables, and summary object. keywords: - OLS regression - statsmodels - summary object - parameters - data - y_column - x_columns - exogenous variables - returns - OBBject - model --- import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; Perform OLS regression. This returns the summary object from statsmodels. Parameters ---------- data: List[Data] Input dataset. y_column: str Target column. x_columns: str List of columns to use as exogenous variables. Returns ------- OBBject[Dict] OBBject with the results being summary object. ```python wordwrap ``` --- ## Parameters This function does not take standardized parameters. --- ## Returns This function does not return a standardized model ---