An Introduction to Statistical Learning with Applications in R, James, Gareth and Witten, Daniela and Hastie, Trevor and Tibshirani, Robert, 2013 (Springer) - A highly accessible book that comprehensively covers multiple linear regression, including model formulation, coefficient interpretation, estimation, evaluation metrics, and assumptions, suitable for readers bridging statistics and machine learning.
sklearn.linear_model.LinearRegression, Scikit-learn Developers, 2024Scikit-learn Documentation - Official documentation for Scikit-learn's LinearRegression model, providing practical implementation details and usage for fitting multiple linear regression models in Python.