👉 In statistics, reweighting is a method used to adjust data weights in a regression model. In other words, it involves assigning new weights to observations that have been removed from the dataset. This can be done by multiplying each observation's weight by a factor, which is calculated based on its value and the number of times it was observed. For example, if there are 10 observations with a mean weight of 30 kg and 5 observations with a mean weight of 40