Question

In correlation an outlier

a. is when the data are actually curvilinear

b. is desireable because it will help create a significant finding

c. Can distort the actual pearson R value.

d. will yield a correlation great than 1

Answer 1

In most cases, an outlier reduces the correlation coefficient between two variables. But if it is in line of the relationship it can also tend to strength the relationship.

Correct option : c. Can distort the actual pearson R value.

Explanation about other options

Option a : Curvilinear data cannot be used to find correlation, we need a linear relationship.

Option b : Outliers are not desirable since it weakness the relationship in most cases.

Option d: It is not possible to have a correlation value more than 1.