Answer Posted / 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.

What are standardization and normalisation? Give one advantage of each over the other?

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