Which statement best differentiates correlation from causation?

Which statement best differentiates correlation from causation?

• A. Two variables changing together always implies a causal relationship.
• B. Correlation means two variables change together; causation means one variable directly causes the change in the other.
• C. Correlation means there is no relationship between the variables.
• D. Causation means the two variables are completely unrelated.

Answer: (B)

Understanding how variables relate is the key here. Correlation describes a pattern: two things tend to change together. Causation means one thing directly brings about a change in the other, through some mechanism. So, the best statement says correlation is about two variables changing together, while causation is about one variable directly causing the change in the other. This sets apart a mere association from a true cause-and-effect link. Not all changes that occur together imply a direct cause; they can be linked by a third factor or happen by coincidence. Also, saying there’s no relationship or that causation means the variables are unrelated contradicts what these terms mean.

Understanding how variables relate is the key here. Correlation describes a pattern: two things tend to change together. Causation means one thing directly brings about a change in the other, through some mechanism.

So, the best statement says correlation is about two variables changing together, while causation is about one variable directly causing the change in the other. This sets apart a mere association from a true cause-and-effect link.

Not all changes that occur together imply a direct cause; they can be linked by a third factor or happen by coincidence. Also, saying there’s no relationship or that causation means the variables are unrelated contradicts what these terms mean.