Properties2
| Type | Concept |
| Note created | Feb 17, 2025 |
Multicollinearity is the occurrence of high intercorrelation among two or more independent variables in a multiple variable regression model. As usual collinearity, it is an undesired effect in explanatory variables and may result in skewed results or less reliable inferences.