n. in multiple regression, the state that occurs when several independent variables are extremely highly interrelated, making it difficult to determine separate effects on the dependent variable. For example, if a researcher includes predictors of self-esteem, self-efficacy, and self-concept in an analysis with a dependent variable of achievement, multicollinearity most likely will be present.