Select the graph options for Simple Correspondence Analysis

Stat > Multivariate > Simple Correspondence Analysis > Graphs

Select display options for the plots.

Axis pairs for all plots (Y then X)
Enter one or more pairs of principal components (axes) to plot. For example, if you enter 1 2 then Minitab displays component 1 on the y-axis and component 2 on the x-axis of every plot. Separate pairs with a space.
You can enter between 1 and 15 axis pairs for each requested plot. The axes that you enter must be axes in the subspace that you defined in the main dialog box. For example, if you enter 4 for the number of components, you can enter only axes 1, 2, 3, and/or 4.
Show supplementary points in all plots
Display the supplementary data on the plots. To enter the supplementary data, click Supp Data on the main dialog box. For more information, go to Enter supplementary data for Simple Correspondence Analysis.

Plots

Select the plots that you want Minitab to display. For more information on these plots, go to All statistics and graphs.

Symmetric plot showing rows only
Display a plot of principal coordinates for the row categories. Use to look for relationships among row categories and to help interpret the components in relation to the row categories.
Symmetric plot showing columns only
Display a plot of principal coordinates for the column categories. Use to look for relationships among column categories and to help interpret the components in relation to the column categories.
Symmetric plot showing rows and columns
Display a plot of principal coordinates for both row and column categories. Use this plot to look for relationships among column categories and among row categories.
Tip

The symmetric plot of rows and columns is often easier to interpret than an asymmetric plot because fewer points overlap and the labels are easier to read. The row-to-row and column-to-column distances are approximate χ2 distances between the respective profiles. However, the row-to-column distances are not standardized in the symmetric plot. Because rows and columns use two different mappings, the distances between row categories and column categories cannot be interpreted easily. To interpret distances between row categories and column categories, use an asymmetric plot.

Asymmetric row plot showing rows and columns
Display a plot of principal coordinates for the row categories and standardized coordinates for the column categories. Distances between row points are approximate χ2 distances between the row profiles. Use this plot to look for relationships among row categories, and relationships among row and column categories.
Asymmetric column plot showing rows and columns
Display a plot of principal coordinates for the column categories and standardized coordinates for the row categories. Distances between column points are approximate χ2 distances between the column profiles. Use this plot to look for relationships among column categories, and relationships among row and column categories.
Tip

An advantage of asymmetric plots is that you can intuitively interpret the distances between row points and column points, especially if the two displayed components represent a large proportion of the total inertia.

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