Mathematics, 24.06.2019 22:50 neariah24

Choose all that apply when describing r2. (hint: 5 options are correct) (select all that apply.) is only used in multiple linear regression. represents the percent of variability in y that can be explained by the model. can be inflated by removing variables. only describes the relationship between quantitative variables. in simple linear regression, it is equal to the correlation coefficient r2. referred to as the coefficient of determination or coefficient of multiple determination. can be inflated by adding more variables. is used to determine the fit of a model. r2 = 1 − =

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