This exercise utilizes the SPSS data set titled gss.sav, which can be downloaded from this Web site:

http://edhd.bgsu.edu/amm/datasets.html

Conduct a Forward: LR logistic regression analysis with the following variables:

IV-age, educ, hrsl, life, sibs, rincom91

DV-satjob2

1. Develop a research question for the following scenario.
2. Conduct a preliminary Linear Regression to identify outliers and evaluate multicollinearity among the five continuous variables. Complete the following:

1. Using the Chi-Square table, identify the critical value at \(\mathrm{p}<.001\) for identifying outliers. Use Explore to determine if there are outliers. Which cases should be eliminated?
2. Is multicollinearity a problem among the five continuous variables?

3. Conduct Binary Logistic Regression using the Forward: LR method. Be sure to identify the variable of life as categorical (use the defaults).

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.

Price: $11.66

Solution: The downloadable solution consists of 6 pages, 566 words and 6 charts.
Deliverable: Word Document