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Hello Friends,
In this video, we are going to learn the 9th and the last tool of multivariate analysis in Minitab software i.e. "Multiple Correspondence Analysis" with the help of a practical example for easy understanding and better clarity.
Multiple Correspondence Analysis is used to explore the relationships of three or more categorical variables. Multiple correspondence analysis performs a simple correspondence analysis on a matrix of indicator variables, where each column of the matrix corresponds to a level of the categorical variable.
This video consists of the following topics:
• What is Multiple Correspondence Analysis?
• Data Considerations (Requirements) for Multiple Correspondence Analysis
• Example of Multiple Correspondence Analysis
• Detailed procedure to conduct Multiple Correspondence Analysis in Minitab
• Selection of various options while conducting Multiple Correspondence Analysis
• Detailed interpretation of results from session window including Quality Level, Mass, Correlation, Inertia, Coordinates, etc.
• Detailed interpretation of results from graph window indicating components and categories on axes.
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