We will use simple correspondence analysis to investigate the associations in a two-way contingency table. This is a technique to investigate frequencies of observations within the table.
The example dataset that is used is from the data and stat library and looks at the characteristics that students find important in a good teacher for academic success.
Here, we will use simple correspondence analysis to investigate the relationship between the behaviors in the rows and the count of how often they are identified as important (IM), neither important nor unimportant (NU), and not important (NI).
The data is available at the following link:
http://lib.stat.cmu.edu/DASL/Datafiles/InstructorBehavior.html
First, copy the data into Minitab. This will copy and paste the data directly, but use the information window to check the number of rows of data. Pasting the results may result in an extra blank cell at the...