Use the following to answer questions The scatterplot and regression line on the left depict the relation between a state's expenditure per student and the average SAT scores for students in the state.The scatterplot and regression line on the right depict the relation between students' SAT Verbal and SAT Quantitative scores. Figure: Standard Error Comparisons -(Figure: Standard Error Comparisons) Based on the scatterplots, for which prediction is the r² greater? A) state expenditure per student from composite SAT scores B) composite SAT scores from the state's expenditure per student C) SAT Quantitative scores from SAT Verbal scores D) SAT Verbal scores from SAT Quantitative scores

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The r², which refers to the standard error of the estimate, is greater when the scatterplot shows more dispersion of points around the regression line. Option C, predicting SAT Quantitative scores from SAT Verbal scores, likely shows a tighter correlation (less dispersion) compared to the inverse (D), but without seeing the actual scatterplots, the assumption is based on common trends where direct academic skills (like Quantitative and Verbal scores) often have strong correlations. However, the question seems to imply a comparison of dispersion, and without visual data, it's challenging to definitively determine which has greater standard error solely based on the descriptions. The response assumes a typical relationship between these variables, where predicting one standardized test score from another tends to have a strong linear relationship with less error compared to predicting educational outcomes from financial inputs or vice versa.

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