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All of the following are true of outliers EXCEPT:

Select one:
a. They have the biggest effect when dealing with large sample sizes.
b. They can affect the direction of an association.
c. They can affect the strength of an association.
d. They are especially problematic when there are outliers on both variables.

1 Answer

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Final answer:

Outliers are data points that are significantly different from other data points. They can affect the direction and strength of an association, but they are not necessarily influential points.

Step-by-step explanation:

An outlier is a data point that is significantly different from the other data points. It may be a result of incorrect data or hold valuable information about the population being studied. Outliers can affect the direction and strength of an association, but they are not necessarily influential points. Influential points have a big effect on the slope of the regression line. They can be identified by removing them from the data set and determining if the slope of the regression line is changed significantly.

User Kevin Mills
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