Which assumption is applicable to regression but not to correlation?
A)linear relationship between the variables
B)independence of people (or cases)
C)error scores are normally distributed
D)each variable is equally distributed at each point of the other variable

Question

Quizplus · Accepted Answer

Correlation does not assume that error scores are normally distributed, as it primarily measures the strength and direction of the relationship between two variables. Regression, on the other hand, makes this assumption to make inferences about the relationship.

Which Assumption Is Applicable to Regression but Not to Correlation