Which of the following is NOT true about the correlation? It summarizes the linear relationship shown in a scatterplot. It ranges from -1 to +1 . It indicates the predictive ability of one variable for another. It is unaffected by the units of measurement.

Correlation, while a handy tool for understanding relationships between variables, doesn't actually indicate predictive ability. You can have a high correlation without a solid causal link or prediction capability! So, while two variables may dance around each other beautifully in a scatterplot, that doesn’t mean one can predict the other with reliability. Interestingly enough, the concept of correlation dates back to the early 20th century and was popularized by the statistician Karl Pearson. He developed the Pearson correlation coefficient, which we still use today. Since then, it has become a fundamental concept in statistics, paving the way for countless analyses across fields like economics, psychology, and biology.