Question

Suppose another researcher gathered survey data from 19 employees on these questions and also 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 environment), and opportunities for advancement is rated on a scale from 0 to 50 (0 represents no opportunities and 50 represents excellent opportunities).

JOB SATISFACTION	RELATIONSHIP WITH SUPERVISOR	OVERALL QUALITY OF WORK ENVIRONMENT	TOTAL HOURS WORKED PER WEEK	OPPORTUNITIES FOR ADVANCEMENT
55	27	65	50	42
20	12	13	60	28
85	40	79	45	7
65	35	53	65	48
45	29	43	40	32
70	42	62	50	41
35	22	18	75	18
60	34	75	40	32
95	50	84	45	48
65	33	68	60	11
85	40	72	55	33
10	5	10	50	21
75	37	64	45	42
80	42	82	40	46
50	31	46	60	48
90	47	95	55	30
75	36	82	70	39
45	20	42	40	22
65	32	73	55	12

Managerial and Statistical Questions

1.Several variables are presented that may be related to job satisfaction. Which variables are stronger predictors of job satisfaction? Might other variables not mentioned here be related to job satisfaction?

2.What variables might be used? What variables should not be used? To what degree can someone depend on the results of the regression analysis? Why?

3.Is it possible to develop a mathematical model to predict job satisfaction using the data given? If so, how strong is the model? With four independent variables, will we need to develop four different simple regression models and compare their results?

Answer 1