What does a positive correlation indicate about two variables?

A positive correlation indicates that as one variable increases, the other variable also tends to increase, or similarly, as one variable decreases, the other variable tends to decrease as well. This means that both variables move in the same direction.

For example, if you were to look at the relationship between studying hours and test scores, a positive correlation would suggest that more study hours are associated with higher test scores. This type of correlation is represented graphically on a scatter plot with a trend line that slopes upward. In such cases, the relationship is consistent, showcasing that fluctuations in one variable correspond with similar fluctuations in the other.

The other options do not accurately describe a positive correlation. One variable increasing while the other decreases indicates a negative correlation. A constant slope refers to a linear relationship but does not specify whether that relationship is positive or negative. Lastly, stating that there is no relationship between the variables would imply a correlation of zero, which contradicts the idea of a positive correlation.