Which statement is true regarding the correlation coefficient and "r" values?

The statement regarding the correlation coefficient and "r" values conveys that when "r" is positive, it indicates a direct relationship between the two variables being analyzed. In this scenario, as one variable increases, the other variable also tends to increase, illustrating a positive correlation. This relationship can range from weak (close to zero) to strong (close to one).

This understanding is foundational in statistics and data analysis, as it helps identify patterns and trends in data, which are essential for making predictions and understanding the dynamics between variables. It highlights the importance of the directionality of relationships in statistical analysis, ensuring that the interpretation of correlation coefficients is clear and meaningful.

Other statements reflect misunderstandings about the correlation coefficient. A negative "r" indicates an inverse relationship, a value of one means a perfect positive correlation rather than no correlation, and zero suggests no linear correlation rather than movement in opposite directions.