New CED – Research Practice Test

A positive correlation refers to a relationship between two variables where they both increase or decrease together. This means that as one variable rises, the other variable also tends to rise, and similarly, if one variable falls, the other variable generally falls as well. This type of correlation suggests a direct relationship: if you were to graph the two variables, you would typically see a trend that slopes upwards.

Understanding positive correlation is essential when analyzing data because it can indicate that there is some level of association between the two variables being examined. This can be seen in scenarios such as the relationship between study time and exam scores, where increased study time often correlates with higher scores. Recognizing these patterns is crucial for research, as it helps in making predictions and understanding the dynamics between different factors.