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In a regression equation, a regression weight (such as $$b_1$$) indicates how large a contribution a predictor variable makes, on average, to the prediction of the outcome variable. It represents the slope of the relationship, demonstrating how much the outcome variable changes for each one-unit change in the predictor variable.

Regression Weight

The equation for simple regression has the general form $$Y = b_1X_1$$. In this formula, $$Y$$ represents the predicted score on the outcome variable, $$X_1$$ represents the individual's score on the predictor variable, and $$b_1$$ represents the regression weight or the slope of the line.

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