A scatterplot shows a strong, positive, linear relationship between the number of rebounds a basketball team averages and the number of wins that team records in a season. Which conclusion is most appropriate?

The correct answer is wins and rebounds are correlated positively, but we cannot decided that having more rebounds leads to more wins, on average.

Step-by-step explanation:

From the example given, the most appropriate conclusion is that, because causation is not the same as correlation, If two variables are compared, this does not mean that one leads to the other.

An observed data is based on correlation, but for description of causation, we need to make experiments, as we update the variable treatment regarding to the changes in response variable.