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What are collinearity and multicollinearity?
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Answer / Mohd Kasif
Collinearity refers to a situation in which two or more predictor variables in a multiple regression model are highly correlated with each other. Multicollinearity occurs when there is a high degree of correlation among several predictor variables, making it difficult to determine the unique contribution of each variable to the model's predictions.
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