Cook's distance

Cook's distance is a statistical measure used to identify data points that have a strong influence on the results of a regression analysis. Think of it as a way to see if a specific data point is disproportionately affecting the overall model. If the Cook's distance for a point is high, it suggests that removing this point could significantly change the model's predictions. Essentially, it helps analysts detect outliers or influential observations that may need closer examination to ensure the model's accuracy and reliability.