What is the primary use of regression imputation in handling missing data?

  • To delete missing data
  • To estimate missing values based on relationships with other variables
  • To replace missing data with mean values
  • To replace missing data with median values
The primary use of regression imputation in handling missing data is to estimate missing values based on relationships with other variables. It uses the relationships between the variable with missing data and other variables to estimate what the missing value could be.
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