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This document provides an overview of matrices and their application to simple linear regression. It defines what matrices are and common matrix types and operations including addition, subtraction, multiplication by a scalar, and matrix multiplication. Examples are given for how matrices can represent simultaneous equations, sums of squares, and the regression equation relating a response vector Y to a design matrix X through coefficients β0 and β1. Matrices allow regression problems involving multiple var

Author

paksmiler

Language

EN