Cook Report

The Cook Report is a statistical method used in regression analysis to measure the influence of individual data points on the overall model. It helps identify observations that have a disproportionate impact on the estimated relationships between variables. Essentially, it shows how much the model's predictions would change if a specific data point were removed. This is useful for detecting outliers or influential points that could skew results, ensuring the model's validity and reliability. The Cook Report provides a quantitative way to assess whether certain data points might need further investigation or consideration.