The correct answers are: The predictor variable will be high school grades (not college grades as stated in option a) The criterion variable will be college grades (not high school grades as stated in option b) The prediction will likely be poorer if only the top 20% of high school students are used than if they are all used (option c is correct) Bivariate regression would be appropriate in this case, not multiple regression (option d is incorrect) Explanation: In the context of research, the predictor variable is the variable that is being used to predict an outcome. In this case, the predictor variable is high school grades because they are being used to predict college grades. The criterion variable is the outcome that is being predicted. In this case, the criterion variable is college grades because they are the outcome that is being predicted based on high school grades. If only the top 20% of high school students are used in the prediction, the prediction will likely be poorer. This is because using only the top 20% reduces the variability and representativeness of the sample, which can lead to a less accurate prediction. Since only one predictor variable (high school grades) is being used to predict one outcome variable (college grades), bivariate regression would be appropriate. Bivariate regression is used when there is one predictor variable and one outcome variable. Multiple regression, on the other hand, is used when there are multiple predictor var