# statistics

posted by
**Tony** on
.

Suppose a researcher gathered survey data from 19 employees and asked the employees to rate their job satisfaction on a scale from 0 to 100 (with 100 being perfectly satisfied). Suppose the following data represent the results of this survey. Assume that relationship with supervisor is rated on a scale from 0 to 50 (0 represents poor relationship and 50 represents an excellent relationship), overall quality of the work environment is rated on a scale from 0 to 100 (0 represents poor work environment and 100 represents an excellent work evnvirnment), and opportunities for advancement is rated on a scale from 0 to 50 (0represents no opportunities and 50 represents excellent opportunities).

a. what is the regression formula?

b. How reliable do you think the estimates will be based on this formula? How can you tell?

c. Are there any variables that do not appear to be good predictors of job satisfaction? How can you tell?

d. If a new employee reports that her relation ship with er supervisor is 40, finds the quality of the work environment to be scored at 75, works 60 hours per week and rates her opportunities for advancement to be at 30, what would you expect her job satisfaction score to be?

example Job satisfaction 55, Relationsjip with supervisor 27, overall quality of work environment 65, total hours worked per week 50 opportunities for advancement 42