The formula for Pearson’s correlation coefficient, r, relates to how closely a line of best fit, or how well a linear regression, predicts the relationship between the two variables. It is presented ...

Correlation vs Regression: Know here what is the difference between Correlation and Regression. Both are important statistical tools for data analysis but Correlation is used only for association ...

Using a hypothetical data set, the authors provide concrete examples to illustrate that canonical correlation analysis is a general linear model, subsuming other parametric procedures as special cases ...

Simple linear regression is commonly used in forecasting and financial analysis—for a company to tell how a change in the GDP could affect sales, for example. Microsoft Excel and other software ...

Although correlation is a symmetric concept of two variables, this is not the case for regression where we distinguish a response from an explanatory variable. This article presents several ways of ...