A. The x-variable explains 25% of the variability in the y-variable.

B. The x-variable explains −25% of the variability in the y-variable.

C. The x-variable explains 50% of the variability in the y-variable.

D. The x-variable explains −50% of the variability in the y-variable.

A. a student who scored 0 on the midterm would be predicted to score 50 on the final exam.

B. a student who scored 0 on the final exam would be predicted to score 50 on the midterm exam.

C. a student who scored 10 points higher than another student on the midterm would be

D. predicted to score 5 points higher than the other student on the final exam. students only receive half as much credit (.5) for a correct

A. to determine if any x-values are outliers.

B. to determine if any y-values are outliers.

C. to determine if a change in x causes a change in y.

D. to estimate the change in y for a one-unit change in x.

A. Coefficient of Correlation

B. Coefficient of Skewness

C. Coefficient of Determination

D. Standard Error or Estimate

A. Coefficient of Correlation

B. Coefficient of Determination

C. Standard error of estimate

D. All of the above