In statistics, the coefficient of multiple correlation is a measure of how well a given variable can be predicted using a linear function of a set of other variables.

Multiple correlations refer to the statistical technique used to assess the relationship between one dependent variable and two or more independent variables. This method is essential in data analysis …

The multiple correlation coefficient is defined as the population correlation between a dependent variable and the best linear predictor of that variable based on multiple independent variables.

Jul 1, 2014 · Shows how to calculate various measures of multiple correlation coefficient. Also reviews Excel's Correlation data analysis tool.

When one response (or dependent) variable and several explanatory variables (a.k.a. independent variables or predictors) are observed for each individual, then the method of multiple linear …

The multiple correlation coefficient generalizes the standard coef-ficient of correlation. It is used in multiple regression analysis to assess the quality of the prediction of the dependent variable.

Lesson 6: Multivariate Conditional Distribution and Partial Correlation. In a multivariable setting partial correlations are used to explore the relationships between pairs of variables after we take into …