1. The quality or state of lying on the same straight line; the condition of being collinear.
Usage: Primarily used in mathematics and geometry
2. In statistics and regression analysis, a situation in which two or more predictor variables are highly correlated, making it difficult to determine their individual effects on the outcome variable.
Usage: Technical term used in data analysis and econometrics

Examples

• In geometry, the collinearity of three points can be verified by checking if they all satisfy the same linear equation.
• The collinearity of the vertices ensures that the three points form a straight line rather than a triangle.
• Researchers must test for collinearity between variables before building a reliable regression model.
• High collinearity in the dataset can inflate standard errors and reduce the precision of coefficient estimates.
• The mathematician proved the collinearity of the four points by demonstrating they all lie on the same line.
• When collinearity is detected, analysts may need to remove or combine correlated variables.