(ch14-eoc-Q9-14) Please answer all questions in the image.

11. Gravetter/Wallnau/Forzano, Essentials - Chapter 14 - End-of-chapter question 17 Complete the following sentence that briefly explains what is measured by the standard error of estimate. The standard error of estimate describes the average distance between the values in the data and the values from the9. Gravetter/Wallnau/Forzano, Essentials - Chapter 14 - End-of-chapter question 15 A set of n = 18 pairs of scores (X and Y values) has SSx = 16, SSy = 64, and SP = 20. If the mean for the X values is My = 6 and the mean for the Y values is MY = 8: Calculate the Pearson correlation for the scores. (Use three decimal places.) Find the regression equation for predicting Y from the X values. Y = X +10. Gravetter/Wallnau/Forzano, Essentials - Chapter 14 - End-of-chapter question 16 A set of n = 15 pairs of scores (X and Y values) produce a regression equation of Y = 3X + 8. Find the predicted Y value for each of the X scores in the following table. X13. Gravetter/Wallnau/Forzano, Essentials - Chapter 14 - End-of-chapter question 22 The regression equation is computed for a set of n = 18 pairs of X and Y values with a correlation of r = 0.50 and SSy = 48. Find the standard error of estimate for the regression equation. The standard error of estimate = How big would the standard error be if the sample size were n = 66? The standard error of estimate =12. Gravetter/Wallnau/Forzano, Essentials - Chapter 14 - End-of-chapter question 18 How is the magnitude of the standard error of estimate related to the value of the correlation? The larger the correlation (closer to ), the is the standard error of estimate.14. Gravetter/Wallnau/Forzano, Essentials - Chapter 14 - End-of-chapter question 25 A researcher computes the linear regression equation for a sample of n = 20 pairs of scores, X and Y values. If an analysis of regression is used to test the significance of the equation, what are the of values for the F-ratio? of = A researcher evaluating the significance of a regression equation obtains an F-ratio with of = 1, 23. How many pairs of scores, X and Y values, are in the sample? n= pairs of scores