Logistic Regression

Using your textbook (Advanced And Multivariate Statistical Methods: Practical Application and Interpretation), the research article entitled (“An Introduction to Logistic Regression Analysis and Reporting”, by Ingersoll, G. M., Lee, K. L., & Peng, C. J. , (2002)), and other related supporting documents, please respond to the following items:

1. What is the purpose of Logistic Regression?
2. Describe the type of Dependent Variable (s) that may be used in Logistic Regression statistical analyses.
3. Describe the type of Independent Variable (s) that may be used in Logistic Regression statistical analyses.
4. Identify the type statistical test that is associated with Logistic Regression.
5. Identify the assumption (s) associated with Logistic Regression.
6. What are the sample requirements necessary to conduct Logistic Regression analyses?
7. Which components should be included in a Logistic Regression Coefficient Table?
8. Name three other statistics which provide estimates of model fit used in Logistic Regression.
9. Which methods can be used in selecting variables for use in a Logistic Regression model?
10. Compare and contrast Simple Regression, Multiple Regression, and Logistic Regression.