👉 The axis IOR, or Inter-Axis Ratio, is a statistical measure used to compare the variability of two or more datasets along different axes or dimensions. It quantifies how much one variable varies relative to another, providing a standardized way to assess dispersion and consistency across multiple variables. For instance, in a dataset with measurements on both height and weight, the axis IOR would show how much the height varies compared to the weight, helping to identify which variable is more spread out or consistent. This ratio is particularly useful in multivariate analysis, where understanding the relationships between different variables is crucial for making informed decisions or drawing meaningful conclusions.
