As an example, When the dependent variable is revenue, then I feel It is naive to believe the NAs are just random. It truly is more plausable that either incredibly very poor or very rich individuals abstained from providing their earnings absent. So how would you tackle this within a study? It is really probable that simpy taking away the many rows with missing income values will make your dataset biased, but imputation may possibly come up with Phony values.
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