In a table with two variables showing positive correlation, which is likely true?

• A. As one variable increases, the other tends to increase.
• B. One variable causes the other.
• C. The variables have a causal relationship.
• D. There is no relationship.

Answer: (C)

When two variables show a positive correlation, they tend to move in the same direction. That means as one variable increases, the other tends to increase as well. This describes the observed association in the data.

But correlation by itself does not prove causation. There could be a third factor influencing both, or the pattern could arise by chance in the sample. So while it’s accurate to say they move together, you cannot conclude that one variable causes the other to change.

The option stating there is no relationship is inconsistent with the observed positive association, and the option claiming a causal relationship goes beyond what correlation can establish. The best interpretation is that the variables tend to increase together, with the caveat that causality isn't proven by correlation alone.