When two variables are strongly correlated with each other, they are also multicollinear.
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Q17: If a nominal variable has five categories,
Q18: The regression coefficient of a dummy variable
Q19: Outliers can affect the slope of regression
Q20: Outliers are observations whose multiple regression residuals
Q21: When two variables are multicollinear, they are
Q23: Curvelinearity is indicated by residuals that are
Q24: Curvelinearity is addressed by transforming one of
Q25: Heteroscedasticity occurs when one of the dependent
Q26: Heteroscedasticity is addressed by transforming both the
Q27: It is okay to include irrelevant variables
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