Multicollinearity in Regression Models

The post is about Multicollinearity in Regression Models. The objective of multiple regression analysis is to approximate the relationship of individual parameters of a dependency, but not of interdependency. It is assumed that the dependent variable $y$ and regressors $X$’s are linearly related to each other (Graybill, 1980; Johnston, 1963; …

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Multicollinearity Introduction Explained Easy (2019)

For a classical linear regression model with multiple regressors (explanatory variables), there should be no exact linear relationship between the explanatory variables. The collinearity or multicollinearity term is used if there is/are one or more linear relationship exists among the variables. Multicollinearity Term The term multicollinearity is considered as the …

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