![]() The coefficient value is always between -1 and 1 and it measures both the strength and direction of the linear relationship between the variables. The numerical measure of the degree of association between two continuous variables is called the correlation coefficient (r). If you're interested to learn causality and make predictions, take a step forward and perform linear regression analysis.Ĭorrelation coefficient in Excel - interpretation of correlation The fact that changes in one variable are associated with changes in the other variable does not mean that one variable actually causes the other to change. Correlation, however, does not imply causation. Your cat's name and their favorite foodĪn essential thing to understand about correlation is that it only shows how closely related two variables are.The temperature outside and your heating bills (negative correlation)Īnd here the examples of data that have weak or no correlation:.The number of calories you eat and your weight (positive correlation). ![]() Here are a couple of examples of strong correlation: The method used to study how closely the variables are related is called correlation analysis. It is commonly used in statistics, economics and social sciences for budgets, business plans and the like. Correlation is a measure that describes the strength and direction of a relationship between two variables.
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