Emotional exhaustion, or burnout, is a significant problem for people with careers in the field of human services. Regression analysis was used to investigate the relationship between burnout and aspects of the human services professional's job and job-related behavior (Journal of Applied Behavioral Science, Vol. 22, 1986). Emotional exhaustion was measured with the Masalach Burnout Inventory, a questionnaire. One of the independent variables considered, called concentration, was the proportion of social contacts with individuals who belong to a person's work group. The table below lists the values of the emotional exhaustion index (higher values indicate greater exhaustion) and concentration for a sample of 25 human services professionals who work in a large public hospital. An SPSS printout of the simple linear regression is also provided on page 547
a. Construct a scattergram for the data. Do the variables x and y appear to be related?
b. Find the correlation coefficient for the data and interpret its value. Does your conclusion mean that concentration causes emotional exhaustion? Explain.
c. Test the usefulness of the straight - line relationship with concentration for predicting burnout. Use α = .05.
d. Find the coefficient of determination for the model and interpret it.
e. Find a 95% confidence interval for slope ß1, Interpret the result.
f. Use a 95% confidence interval to estimate the mean exhaustion level for all professionals who have 80% of their social contacts within their work groups. In terpret the interval.