When evaluating the relationship between two variables, why is it useful to label one variable the "explanatory variable" and the other as the "response variable"? Group of answer choices We are evaluating if there is a cause and effect relationship between the two variables. However, since correlation does not imply causation, we cannot measure if one variable "explains" the "response" in the other variable. Because if there is a correlation between two variables, this means one variable must "explain" the "response" in the other variable. There can exist no other variable that could explain the correlation. We are hoping to see if a change in one variable can "explain" the "response" (i.e. change) in another variable. Because correlation does not necessarily mean causation, when two variables are correlated it is not possible for them to have a cause and effect relationship. So the terms "explanatory variable" and "response variable" are arbitrarily chosen