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Difference Between Regression and Correlation: Regression vs Correlation Compared
Correlation and Regression are the two analysis based on multivariate distribution. A multivariate distribution is described as a distribution of multiple variables. On the other end, Regression analysis, predicts the value of the dependent variable based on the known value of the independent variable, assuming that average mathematical relationship between two or more variables. The difference between correlation and regression is one of the commonly asked questions in interviews.
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Pearson Correlation and Linear Regression
In this section we will first discuss correlation analysis, which is used to quantify the association between two continuous variables e. Regression analysis is a related technique to assess the relationship between an outcome variable and one or more risk factors or confounding variables. The outcome variable is also called the response or dependent variable and the risk factors and confounders are called the predictors , or explanatory or independent variables.