Glossary / Lexicon

Multiple regression is defined as a statistical procedure in which the scores from more than one criterion-valid test are weighted according predicts to how each test score predicts the criterion. Multiple regression, moreover is a statistical technique used for studying multivariate relationships. The statistical process of finding the linear equation that produces the most accurate predicted values for Y using more than one predictor variable; multivariate data analysis method that considers the relationship between a continuous outcome variable and the linear combination of two or more predictor variables. .