This command is available with the Predictive Analytics Module. Click here for more information about how to activate the module.

Find interpretation guidance for the interaction strength tables.

The top 2-way interaction strength tables identify the pairs of variables that have the strongest interactions. The interaction tables display the % of total squared error and/or the % of squared error for the strongest 2-way interactions. Use the % of total squared error to describe the strength of the interaction relative to the variation in the data. Use the % of squared error for the specific pair of variables to describe the strength of the interaction relative to the strength of the main effects of the variables.

Interactions are not possible when a tree has only 2 terminal nodes. Thus,
the maximum terminal nodes per tree must be 3 or larger. You can set this on
the
Options
subdialog.
###### Note

Minitab does not display the interaction tables if all interactions have a % of total squared error or a % of squared error less than 10%.

In this example, the six strongest 2-way interactions are the same for both tables; however, the ordering varies slightly. In the first table, the interaction between Major Vessels and Thal is the strongest 2-way interaction. The percent of total squared error is 6.05581 which means that 6.05581% of the total squared error is explained by the main effects of Major Vessels and Thal and their 2-way interaction effect.

For the same 2-way interaction between Major Vessels and Thal, the percent squared error for the predictor pair with main and interaction effects is 11.08252%.

To calculate, 11.08252% = Component 3 / ( Component 1 + Component 2 +
Component 3) * 100%

- Component 1 = the squared error explained by the first main effect, Major Vessels
- Component 2 = the squared error explained by the second main effect, Thal
- Component 3 = the squared error explained by the interaction between Major Vessels and Thal and their main effects