👉 In statistics, an "imputation" refers to the process of filling in missing or incomplete data points. This can be done by various methods such as using linear regression models, random forests, or other statistical techniques. For example, in a simple regression model where the dependent variable is continuous and the independent variables are categorical, imputations could involve adding values for missing or incomplete observations to the dataset. In this case, the missing data points would be represented by "imputed" values that reflect
