| 1. | This model is an ANOVA model with one qualitative variable having 3 categories.
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| 2. | This example illustrates how the FAMD simultaneously analyses of quantitative and qualitative variables.
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| 3. | For example, suppose Gender is one of the qualitative variables relevant to a regression.
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| 4. | No qualitative variables in the example.
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| 5. | It plays an important theoretical role because it opens the way to the simultaneous treatment of quantitative and qualitative variables.
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| 6. | The term " mixed " refers to the simultaneous presence, as active elements, of quantitative and qualitative variables.
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| 7. | The data include K quantitative variables { k = 1, K } and Q qualitative variables { q = 1, Q }.
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| 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.
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| 9. | A regression model that contains a mixture of both quantitative and qualitative variables is called an " Analysis of Covariance " ( ANCOVA ) model.
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| 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.
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