Which of the following statements about Adjusted R2 is false? It is possible to increase Adjusted R2 unintentionally by including a predictor variable that has no foundation in the model. Adjusted R2 explicitly accounts for the sample size n and the number of predictor variables k. Adjusted R2 imposes a penalty for any additional predictor variable that is included in the analysis In models with the same response variable, the model with the higher Adjusted R2 is preferred because it explains more of the sample variation in y. R2, also known as the coefficient of determination, quantifies the proportion of the sample variation in the predictor variables (xj) that is explained in the sample regression equation. True False While tables are often used to report regression results, a notes section below the table is recommended to explain any important notations. True False