👉 In statistics, "loadedness" refers to a measure of how much an error in one variable affects another variable. It is calculated as the ratio of the variance of the second variable (the dependent variable) to the square of the variance of the first variable (the independent variable). This concept is often used in regression analysis and machine learning, where it helps determine how well a model's predictions are likely to generalize across different datasets.