Example Using a Supplementary Variable
This example uses the Car Poll.jmp sample data table, which contains data collected from car polls. The data include aspects about the individuals polled, such as sex, marital status, and age. The data also include aspects about the car that they own, such as the country of origin, the size, and the type. You want to explore relationships between sex, country, and size of car to identify consumer preferences.
1. Select Help > Sample Data Library and open Car Poll.jmp.
2. Select Analyze > Multivariate Methods > Multiple Correspondence Analysis.
3. Select country and size and click Y, Response.
4. Select marital status and click Z, Supplementary Variable.
5. Click OK.
Unlike in the first example, this analysis does not use marital status in the calculations. Marital status is plotted after the calculations are complete.
You see from the plot strong relationships between Japanese and Small cars as well as American and Large cars. The two marital statuses are plotted in a different color. Single people seem to prefer smaller cars a bit more than married people.
Figure 7.6 MCA with Supplementary Variable Report
