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If an independent variable in a multiple linear regression model is an exact linear combination of other independent variable, the model suffers from a problem

If an independent variable in a multiple linear regression model is an exact linear combination of other independent variable, the model suffers from a problem of: Heteroskedasticity Omitted variable bias. Homoscedasticity Perfect collinearity

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