What does the term "Multicollinearity" refer to in the context of Exploratory Data Analysis?

  • A condition where the independent variables in a regression model are highly correlated
  • A statistical method to determine the correlation between variables
  • Correlation among three or more variables
  • Correlation between two variables
Multicollinearity refers to a situation where two or more independent variables in a multiple regression model are highly correlated. If these variables are closely correlated, it can be hard for the model to determine the effect of each variable independently, which may lead to unstable estimates.
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