EVERYDAY SCIENCE

Detailed explanation-1: -Prediction: Correlations can be used to help make predictions. If two variables have been known in the past to correlate, then we can assume they will continue to correlate in the future. We can use the value of one variable that is known now to predict the value that the other variable will take on in the future.

Detailed explanation-2: -When using a correlational method, one may unethically reach conclusions about cause and effect. For example, if one finds that diet and weight are correlated, one may unethically conclude that diet causes weight or vice versa, when both may in fact be caused by a third variable, or by chance.

Detailed explanation-3: -A correlational research design investigates relationships between variables without the researcher controlling or manipulating any of them. A correlation reflects the strength and/or direction of the relationship between two (or more) variables. The direction of a correlation can be either positive or negative.

Detailed explanation-4: -Controlled experiments establish causality, whereas correlational studies only show associations between variables. In an experimental design, you manipulate an independent variable and measure its effect on a dependent variable. Other variables are controlled so they can’t impact the results.