Question

impact of outliers on interpretations of scatterplot c
when analyzing a scatterplot with a cluster, why should outliers generally be excluded when interpreting the relationship of the variables?

Explanation:

Outliers are data points that deviate significantly from the general pattern of the cluster. They can distort the perception of the relationship between variables. For example, if most data points show a positive correlation but there is an outlier that is far - off, it might make the correlation seem weaker or even non - existent. By excluding outliers, we can focus on the main trend of the majority of the data points and get a more accurate interpretation of the relationship between the variables.

Answer:

Outliers can distort the perception of the relationship between variables. By excluding them, we can focus on the main trend of the majority of the data points and get a more accurate interpretation of the relationship between the variables.