What does a positive correlation imply about the relationship between two variables?

A positive correlation indicates that there is a direct relationship between two variables, meaning that as one variable increases, the other variable also tends to increase. This relationship is established through statistical analysis, which shows a consistent pattern of movement in the same direction for both variables.

For instance, if you were to examine the correlation between study time and exam scores among students, you might find that as study time increases, exam scores also tend to increase. This indicates a positive correlation where both variables are linked in a way that their movements reinforce each other.

A positive correlation does not imply that one variable exerts a greater influence than the other, nor does it suggest a decrease in one variable as the other increases. Instead, it focuses solely on the simultaneous increase of both variables in their respective measures.