Joshua

Linear regression models relationships between variables by finding a best-fitting line. Using matrix inversion and the Ordinary Least Squares (OLS) method, it efficiently computes coefficients, simplifying the process and providing a clear mathematical framework. This guide covers fundamental concepts and practical applications of matrix algebra for solving linear regression.