⁶ Multiple regression analysis measures only "direct" relationships between a predictor variable and an outcome, controlling on all other inputs. Consequently, predictors that operate through other predictors in the equation are not given "credit" for their "indirect" contribution to the outcome through affecting such an intermediary (intervening) variable. For example, educational background may influence Internet use through its affect on Professional Leadership. However, in multiple regression only the effects not mediated by professional leadership or other intervening variables remain attributed to educational background. Subsequent analysis will employ path analysis to more accurately model the distinction between prior and intervening variables, and direct and indirect effects.