Which Python module and method are used to create a multiple regression model for a given data set? Select one. lins method from scipy module linregress method from statsmodel module ols method from statsmodel module

To create a multiple regression model in Python, you would typically use the `ols` method from the `statsmodels` module. This stands for "Ordinary Least Squares" and is a way to estimate the parameters of a linear regression model. It allows you to specify a formula and directly relate multiple predictor variables to a target variable, making it very straightforward for handling complex datasets! When preparing your data for modeling with `ols`, it's vital to ensure that your input features are properly scaled and cleaned. It's a common mistake to deliver data with missing values or outliers without addressing them first, which can skew your results. Always visualize your data and consider statistical tests to check for assumptions like normality and homoscedasticity before diving into modeling!