Question

When analyzing a scatterplot with a cluster, why should outliers generally be excluded when interpreting the relationship of the variables?

Answer 1

Answer:

Outliers are often extreme values that are not as representative of the data set as the other points in the cluster. If the outliers are included, a description of the data set might be misrepresented.

Answer 2

Answer:

Sample Answer: Outliers are often extreme values that are not as representative of the data set as the other points in the cluster. If the outliers are included, a description of the data set might be misrepresented.

Step-by-step explanation:

Outliers are less reliable than points in a cluster for  representing the data set as a whole.

Outliers are often extreme values that occur rarely.

If outliers are not excluded, the interpretation of the data set may be overstated or understated.

If an important decision is based on an interpretation of the data set, excluding outliers provides the best basis for the decision.