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.