is a measure of the amount of multicollinearity in regression analysis. Multicollinearity exists when there is a correlation between multiple independent variables in a multiple regression model.

Simple linear regression is commonly used in forecasting and financial analysis—for a company ... that use several independent variables called multiple linear regressions.

Joint analysis of multiple biparental ... QTL modelling procedure and significance threshold was evaluated as the mean coefficient of determination (R a 2) from regression of predicted RIL values ...