In statistics, the main difference between a slope and a partial slope lies in the context of regression analysis. A simple slope, or regression coefficient, represents the change in the dependent variable for a one-unit change in the independent variable, when considering only those two variables. A partial slope, on the other hand, is the slope coefficient in a multiple regression model, and it represents the change in the dependent variable for a one-unit change in one specific independent variable, while holding constant all other independent variables in the model. Essentially, the partial slope isolates the effect of one variable on the outcome, accounting for the influence of other factors