Simple Regression Test
Module 6 • 10 Questions
Question 1 of 10
0 of 10 answered
What is a key difference between the covariance and the correlation coefficient when describing the linear relationship between two variables?
A
Covariance measures strength, while correlation measures only direction.
B
Correlation is a standardized, unit-free measure (-1 to +1), while covariance value depends on the units of the variables.
C
Only covariance can indicate a positive relationship.
D
Correlation must be positive, while covariance can be positive or negative.