Linear Modeling Theory
A regression coefficient is a numerical value that represents the relationship between an independent variable and the dependent variable in a regression model. It quantifies how much the dependent variable is expected to change for a one-unit change in the independent variable while holding other variables constant. This coefficient is central to understanding the impact of predictors in models using the Ordinary Least Squares (OLS) method.
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