If a nominal variable has five categories, an analyst would include up to four dummy variables in a regression model.
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Q12: Values of R2 adjusted below .20 are
Q13: Standardized coefficients enable analysts to draw inferences
Q14: It is common to compare β coefficients
Q15: The global F-test examines the overall effect
Q16: A dummy variable can have only two
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
Q22: When two variables are strongly correlated with
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