How should the symbol b be interpreted in a multiple regression equation? A) as the value of Y when all independent variables have a score of 0 B) as the amount of Y for a unit change in the independent variable while controlling for the effects of all other variables C) as the correlation between two independent variables D) as the effect of X₁ on X₂ while controlling for the effect of Y

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In a multiple regression equation, the symbol b represents the coefficient for an independent variable, indicating the amount of change in the dependent variable Y for a one-unit change in that independent variable, while holding all other variables constant.

How Should the Symbol B Be Interpreted in a Multiple