A matrix of plots displays a plot for each possible pairing of variables. A matrix of plots is useful when you have many variables and you would like to examine relationships between all pairs of variables.
A business analyst wants to look for relationships between several different business metrics for manufacturing companies. The analyst collects data on the number of clients, rate of return, and years they have been in business for 22 successful small-to-medium sized manufacturing companies.
An each Y versus each X plot displays a plot for each possible Y-X combination, when you specify the y variables and x variables. This type of matrix is effective when you are only interested in relationships between responses and predictors, which you enter separately. These plots are also known as draftsman plots or casement displays.
A human resource manager wants to evaluate an employee training program. The manager creates an each Y versus each X plot to examine the effect of work experience, instruction time, and study time (x variables) on test scores and retention six months later (y variables).