Exercises for Ch. 11

This exercise utilizes the SPSS data set gss.sav (attached). We need to conduct a Forward: LR logistic regression analysis with the following variables:

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

DV - satjob2

1. We need to develop a research question for the following scenario.
2. We need to conduct preliminary Linear Regression to identify outliers and evaluate multicollinearity among the five continuous variables. We need to complete the following:

1. Using the Chi-Square table, identify the critical value at p<.001 fir udentifying outliers. Use Explore to determine if there are outliers. Which cases should be eliminated?
2. Is multicollinearity a problem among the five continuous variables?

1. We need to conduct Binary Logistic Regression using the Forward: LR method. Be sure to identify the variables 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.

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