Conduct a Forward: LRlogistic regression analysis with the following variables

IV -age, edu, hrsl, sibs, rincom91, life2 (categorical)

DV -satjob2

Note: The variable life2 is categorical such that dull = 1, routine/exciting =2, and all other values are system missing.

1. Develop a research question for the preceding scenario;

2.Conduct apreliminary Linear Regressionto identify outliers and evaluate multicollinearity among the five continuous variables.

Complete the following:

1. Using the Chi-Square table in Appendix B near the end of this book, identify the critical value at p < .001 for identifying outliers.
2. Use Explore to determine if there are outliers. Which cases should be eliminated?
3. Is multicollinearity a problem among the five continuous variables?
4. ConductBinary Logistic Regression using the Forward: LR method.

IV - age, edu, 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.

1. Which variables were entered into the model?
2. To what degree does the model fit the data? Explain
3. Is the generated model significantly different from the constant-only model?
4. How accurate is the model in predicting job satisfaction?
5. What are the odds ratios for the model variables? Explain.