Statistics
14. A researcher uses multiple regression to predict a client’s sales volume based on gross domestic product, personal income, disposable personal income, unemployment, and the consumer price index. What problems might be anticipated with this multiple regression model?
13. Name at least two multivariate techniques that can be useful in constructing perceptual maps.
12. What is cluster analysis? When might a researcher use this technique?
11. What is multi-dimensional scaling? When might a researcher use this technique?
10. How is the number of factors decided in most EFA programs?
9. How does factor analysis allow for data reduction?
8. What is a factor loading?
7. Return to the simple example of regression results for the toy company presented in the chapter. Since the data come equally from Europe and Canada, does this represent a potential source of variation that is not accounted for in the researcher’s model? How could the researcher examine whether or not sales may be dependent upon country?
6. A researcher dismisses a regression result because the model R2 was under 0.70. Do you think this was necessarily wise? Explain.
5. What are the steps in interpreting a multiple regression analysis result? Can the same steps be used to interpret a univariate ANOVA model?
4. What is the GLM? How can multiple regression and n-way ANOVA be described as GLM approaches?
3. What is the distinction between dependence methods and interdependence methods?
2. What is the variate in multivariate? What is an example of a variate in multiple regression and in factor analysis?
1. Define multivariate statistical analysis.
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