Implications of interpreting regression results
Question: One of the assumptions of regression analysis is that the independent variables are not correlated. What are the practical implications of interpreting regression results when this assumption, known as multicollinearity, is violated?
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What are the practical implications of interpreting regression results when this assumption, known as multicollinearity, is violated?
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