If a model's implications depend on the inclusion or exclusion of outliers, one should spend additional time to track down
A)the cause of the outliers.
B)the missing values.
C)a better estimation of the outliers.
D)another source of data.

Question

If a model's implications depend on the inclusion or exclusion of outliers, one should spend additional time to track down
A)​the cause of the outliers.
B)​the missing values.
C)a better estimation of the outliers.
D)​another source of data.

Quizplus · Accepted Answer

Tracking down the cause of outliers is the best option because it can help identify any issues with data quality or measurement error that may be affecting the model's results. This can lead to better understanding of the underlying processes that affect the data and improve the accuracy of the model. The other options do not address the cause of the outliers and may not provide a meaningful solution to the problem.

If a Model's Implications Depend on the Inclusion or Exclusion