Covariation tells us:
A) that one variable causes changes in another variable.
B) that two variables are associated with each other.
C) that two variables are not associated with each other.
D) that one variable is not responsible for changes in another variable.

Question

Quizplus · Accepted Answer

Covariation refers to the degree to which two variables are associated with each other. It does not necessarily indicate a causal relationship between the variables, but rather a statistical relationship where changes in one variable are accompanied by changes in another variable. Option A suggests causality, which cannot be determined by covariation alone. Option C suggests no relationship, which is not true for variables that show covariance. Option D is also incorrect, as the presence of covariation suggests that one variable is linked to changes in another variable, even if this does not imply causality.

Covariation Tells Us