SS

SS typically stands for "sum of squares" in statistical contexts, which measures the total variation or dispersion in a dataset. It is calculated by summing the squared differences between each data point and a reference point, such as the mean. This measure helps determine how spread out the data points are around a central value, and is a fundamental component in analyses like variance and regression. Essentially, SS quantifies the overall variability in your data, allowing statisticians to understand the consistency or diversity within a dataset.