I need help with these for class. Please explain everything descriptively. Please label the answers by the question number.
1. Discuss the 3 assumptions for the use of MANOVA.
2. Discuss fully the HBAT or HATCO case study MANOVA findings. You must give specific details from the case.
Read the SPSS Report “Improving Tax Administration with Data Mining”.
3. Summarize the Introduction on page 3. Why data mining? What is data mining? page 4
4. Explain predictive modeling. page 7 Compare and contrast Audit Select versus Priority One and Prior Productive.
5. Discuss fully the use of conjoint analysis by managers.
6. Discuss the impact of choosing rank choice versus ratings as the measure of preference.
7. Discuss the relative importance of the predictor variables and each of their levels in affecting consumer judgments.
All the answers are in the textbook. Do not use a source other than the textbook.
Module 7 Marketing Conusmer Behavior : Predictive Modeling
8. Summarize Module 7.
9. Define cluster analysis, its roles, and its limitations.
10. Discuss the types of research questions addressed by cluster analysis.
11. Define multidimensional scaling and describe how it is performed.
12. Explain fully the 3 steps to create an perceptual map.
13) Distinguish between variables and constructs.
14) Explain the basic types of relationships involved in SEM.
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