Question

A group of high school seniors took a scholastic aptitude test. The resulting math scores had a mean 527.8 with a standard deviation of 177.8, verbal mean 505.5 with a standard deviation of 147.3, and the correlation between verbal and math scores was r=0.521. Complete parts a through f below. a) What is the correlation? The correlation is Round to three decimal places as needed.) b) Write the equation of the line of regression predicting verbal scores from math scores. Round to three decimal places as needed.) c) In general, what would a positive residual mean in this context? O A. A positive residual means the student has the exact verbal score that the linear model would predict. O B. A positive residual means the student has a higher verbal score than the linear model would predict O C. A positive residual means the student has a lower verbal score than the linear model would predict. d) A person tells you her math score was 532. Predict her verbal score. The student is expected to have a verbal score of Round to three decimal places as needed.) e) Using the predicted verbal score from part (d) and the regression equation math = 209.841 + 0.629(verbal), predict the students math score

0 A. The line found in part (b) minimizes squared residuals in the math direction, while the line given in part (e) minimizes them in the verbal direction. 0 B. The line given in part e minimizes squared residuals in the verbal direction, while the line found in part b) minimizes themin the math direction. ° C. The line found in part (b) minimizes squared residuals in the verbal direction, while the line given in part (e) minimizes them in the math direction.

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