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Understanding Multiple Linear Regression by jstadlas is a document available to read on EtoBox.

What is Understanding Multiple Linear Regression about?

This document provides an overview of multiple linear regression (MLR) models. MLR models extend simple linear regression (SLR) to include more than one independent variable. The MLR model estimates coefficients (β values) that describe the average change in the dependent (response) variable Y for a one unit change in each independent (predictor) variable X, while holding other variables constant. Least squares is used to estimate the coefficients by minimizing the sum of squared residuals between the actua

Author
jstadlas
Language
EN