The article presents a new method to calculate how changes in independent variables affect the probability of a binary outcome in statistical models. The researchers developed a measure for the logit model that can predict outcomes based on changes in variables. This method can help identify which variables have the most impact on the outcome. The study found that the results from the logit model can differ significantly from those of linear models. This new approach fills an important gap in statistical analysis and can be useful for making predictions and understanding the effects of different variables on outcomes.