1. This model is an ANOVA model with one qualitative variable having 3 categories. 2. This example illustrates how the FAMD simultaneously analyses of quantitative and qualitative variables . 3. For example, suppose Gender is one of the qualitative variables relevant to a regression. 4. No qualitative variables in the example. 5. It plays an important theoretical role because it opens the way to the simultaneous treatment of quantitative and qualitative variables . 6. The term " mixed " refers to the simultaneous presence, as active elements, of quantitative and qualitative variables . 7. The data include K quantitative variables { k = 1, K } and Q qualitative variables { q = 1, Q }. 8. The representation of the categories of qualitative variables is as in MCA : a category is at the centroid of the individuals who possess it. 9. A regression model that contains a mixture of both quantitative and qualitative variables is called an " Analysis of Covariance " ( ANCOVA ) model. 10. This specification does not allow for the possibility that there may be an interaction that occurs between the two qualitative variables , D 2 and D 3.