What could be potential drawbacks of using regression imputation?
- Can lead to an underestimation of errors
- Can lead to biased results if relationships between variables are non-linear
- Does not handle missing values
- No drawbacks
The potential drawbacks of using regression imputation are that it can lead to an underestimation of errors or variances. This happens because it estimates missing values using a deterministic function (i.e., regression), but does not account for the inherent uncertainty associated with the missing values.
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