Chapter 15
1. What is the equation for a regression line? What does each term in the line refer to?

2. The procedures described in this chapter assume that the relationship between the predictor and the criterion is _________.

3. If a regression equation were:
Y' = 3X + 5,
what would be the predicted score for a person scoring 8 on X?

4. What criterion is used for deciding which regression line fits best?

5. What does the standard error of the estimate measure?

6. How is the size of Pearson's correlation related to the size of the standard error of the estimate?

7. What "estimate" does the standard error of the estimate refer to?

8. How is the standard error of the estimate related to the standard deviation?

9. In a regression analysis, the sum of squares for the predicted scores is 80 and the sum of squares error is 40, what is R²?

10. For the following data, compute r and determine if it is significantly different from zero. Compute the slope and test if it differs significantly from zero. Compute the 95% confidence interval for the slope.
X Y
2 5
4 6
4 7
5 9
6 12

11. For the dataset "High School Sample," find the regression line to predict scores on the Wonderlic Test (Item 3) from scores on the Identical Blocks Test (Item 2). What is the predicted score for a person who scored 25 on the Identical Blocks Test?

12. What would the regression equation be if the mean of X were 20, the mean of Y were 50, and the correlation between X and Y were 0?

13. What is sb? How does the magnitude of sest affect sb?

14. R² = .44, N = 50, and k = 12. Give the adjusted R².

15. Using the dataset High School Sample, predict scores on the Wonderlic Test from the Missing Cartoons's Test and the Identical Blocks Test. Plot the errors of prediction (residuals) as a function of the predicted scores.

16. In multiple regression, what is the effect on the b coefficients of multiplying the criterion variable by 10? What is the effect on the standardized regression coefficients?