multicollinearity
MUL-ti-ko-li-nee-AR-i-tee
Definition
A statistical phenomenon in which two or more independent variables in a regression model are highly correlated, making it difficult to isolate the individual effect of each variable on the dependent outcome.
Etymology
Derived from the Latin 'multi-' (many) and 'linear', combined with the mathematical concept of 'collinearity', referring to points or lines lying on the same plane or path.
In the news
In this study, the authors mean-centered their predictor variables before calculating interaction terms to reduce potential multicollinearity, which would otherwise complicate their statistical analysis of moderating effects.
The influence of designer identity on design majors’ intention to use AIGC tools: an SEM-fsQCA analysis in China
Read the full article ↗Frontiers