One can deal with missing data by
A)dropping observations with missing data if the missing data is random and therefore will not affect the resulting coefficient estimates.
B)making up values for missing data.
C)ignoring the potential impact of the missing data in the analysis.
D)running a regression with the number 6 put in lieu of the missing data.

Question

Quizplus · Accepted Answer

Dropping observations with missing data is the best choice if the missing data is random, as it will not significantly affect the resulting coefficient estimates. However, making up values for missing data or ignoring the impact of missing data can introduce bias in the analysis, and running a regression with a fixed number in lieu of missing data is not appropriate.

One Can Deal with Missing Data by