Multicollinearity is a statistical phenomenon where multiple predictor variables in a regression model are highly correlated. This means that one predictor variable can be linearly predicted from the others with a substantial degree of accuracy. In the context of nursing, multicollinearity can complicate the interpretation of results from research studies that use multiple regression analysis.
