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In multiple regression analysis, the term “R” often refers to the multiple correlation coefficient, which evaluates the strength and direction of the linear relationship between a dependent variable and a collection of predictor variables. It denotes the overall fit of the regression model.

On the other hand, “r” commonly refers to the simple correlation coefficient, which measures the strength and direction of a linear link between two variables. It is often used in bivariate analysis to investigate the relationship between two variables in the absence of other factors.

In summary, “R” refers to multiple regression, whereas “r” refers to basic correlation analysis. join free Demo Class Online at Durga Online Trainer