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Where we observe multicollinearity in multiple regression analysis, two are independent variables x - 1 X minus four also high correlated they're almost indistinguishable with
Where we observe multicollinearity in multiple regression analysis, two are independent variables x - 1 X minus four also high correlated they're almost indistinguishable with respects to their relationship with our dependent (y) variable. Why is that a problem?
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