In a multiple regression model, each regression slope coefficient measures the average change in the dependent variable for a one-unit change in the independent variable, all other variables held constant.

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In a multiple regression model, each regression slope coefficient indeed measures the average change in the dependent variable for a one-unit change in the independent variable, while holding all other variables constant. This is known as the ceteris paribus condition.

In a Multiple Regression Model, Each Regression Slope Coefficient Measures