Choose all that apply when describing R2. (Hint: 5 options are correct) (Select all that apply.) Represents the percent of variability in y that can be explained by the model. Referred to as the coefficient of determination or coefficient of multiple determination. In simple linear regression, it is equal to the correlation coefficient r2. Can be inflated by removing variables. Is only used in multiple linear regression. Only describes the relationship between quantitative variables. Can be inflated by adding more variables. Is used to determine the fit of a model.