Conduct Binary Logistic Regression using the Forward:LR method.
IV—age, educ, hrsl, sibs, rincom91, life2 (categorical; last is the reference category)
DV—satjob2
Note: Make sure that any outliers identified in Exercise 2.a. are removed from data before running the logistic regression. Also, designating life2 as a categorical covariate with the last category as the reference,
essentially makes routine/exciting = 0 and dull = 1, so interpret the results accordingly.
a. Which variables were entered into the model?
b. To what degree does the model fit the data? Explain.
c. Is the generated model significantly different from the constant-only model?
Chapter 11 Logistic Regression
d. How accurate is the model in predicting job satisfaction?
e. What are the odds ratios for the model variables? Explain.