Linear Regression In Python Statsmodels 9vtmeWm5kSk

Web Reference: Jul 23, 2025 · In this article, we will discuss how to use statsmodels using Linear Regression in Python. Linear regression analysis is a statistical technique for predicting the value of one variable (dependent variable) based on the value of another (independent variable). This module allows estimation by ordinary least squares (OLS), weighted least squares (WLS), generalized least squares (GLS), and feasible generalized least squares with autocorrelated AR (p) errors. See Module Reference for commands and arguments. This tutorial focuses on statsmodels linear regression using statsmodels OLS. Ordinary Least Squares (OLS) estimates a line by minimizing the sum of squared residuals, where each residual is the difference between an observed value and the model prediction.

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