Multicollinearity (Noun)
Meaning
A case of multiple regression in which the predictor variables are themselves highly correlated.
Classification
Nouns denoting cognitive processes and contents.
Examples
- The presence of multicollinearity in the dataset made it challenging to isolate the individual effects of each predictor variable on the response variable.
- To address the multicollinearity issue, the researcher decided to remove highly correlated predictor variables from the multiple regression model.
- The diagnostic tests revealed high multicollinearity among the predictor variables, indicating a need for model refinement.
- When the three predictor variables were highly correlated with each other, multicollinearity became a significant concern in the analysis.
- The researcher applied a dimensionality reduction technique to reduce multicollinearity by transforming the original predictor variables into fewer, orthogonal components.