3. While the standard error of estimate provides an average level of prediction accuracy, we can examine the accuracy of prediction for a single individual who is included in the data set by comparing the individual’s predicted work motivation score with his or her actual reported work motivation.

a. Use the regression equation in item 1 to compute a predicted score on work motivation for the first volunteer in the data set (i.e., for case 1).

b. Use the regression equation in item 2 to compute a predicted score on work motivation for the first volunteer in the data set (i.e., for case 1).

c. Examining the actual work motivation score for the first volunteer in the data set (i.e., the “motivate” score for case 1), which regression equation provided the most accurate prediction of work motivation for this particular volunteer?

d. Which regression equation had the smallest standard error of estimate?