Which of the following describes a strong positive correlation?

A strong positive correlation indicates a direct relationship between two variables, meaning that as one variable increases, the other variable also increases, and this relationship is consistent and predictable. In correlational terms, the strength of this relationship is quantified using a correlation coefficient which ranges from -1 to +1.

When the correlation coefficient is exactly +1, it indicates a perfect positive correlation, meaning that for every unit increase in one variable, there is a corresponding exact unit increase in the other variable. This showcases the strongest possible degree of positive correlation, where there is no deviation from this linear relationship.

While a correlation of between 0 and +1 signifies a positive correlation, it does not reflect the strongest possible relationship. A correlation of exactly 0 indicates no correlation at all, implying that there is no predictable relationship between the two variables. Similarly, a correlation of exactly -1 represents a perfect negative correlation, where one variable increases while the other decreases. Therefore, the concept of strong positive correlation is best epitomized by a correlation coefficient of exactly +1.