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When multiple independent variables are used to predict a dependent variable in multiple regression, multicollinearity among the independent variables is often a concern.

What is the main problem caused by high multicollinearity among the independent variables in a multiple regression equation?

Can you still achieve a high r2 for your regression equation if multicollinearity is present in your data?

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Business Management, Management Studies

Category:- Business Management
Reference No.:- M92045765

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