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.

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

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 …

The squared multiple correlation is a central measure in multiple regression analysis—it summarizes the overall adequacy of the set of predictors in accounting for the dependent …

Sep 30, 2024 · Multiple correlation is a statistical technique that measures the strength of the relationship between one dependent variable (also known as the outcome variable) and two or …

Jun 10, 2025 · In this guide, we will explore the concept of multiple correlation, its importance in statistics, and provide a comprehensive overview of the topic.

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.

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 26, 2025 · What is Multiple Correlation? Multiple correlation is a statistical technique used to examine the relationship between one dependent variable and two or more independent …

Multiple correlation is a statistical technique used to assess the strength and direction of the relationship between one dependent variable and two or more independent variables.