If you have a model with nominal or ordinal terms, when you click Make Model or Run Model, the Fit Model platform creates a new set of columns in the data table. The model appears in a new Fit Model window for the response variable. The next example uses the Hotdogs2 sample data to illustrate how Stepwise constructs a model with hierarchical effects.
A simple model examines at the cost per ounce ($/oz) of hot dogs as a function of the Type of hot dog (Meat, Beef, Poultry) and the Size of the hot dog (Jumbo, Regular, Hors d’oeuvre).
1.
Open the Hot Dogs2.jmp sample data table.
2.
Select Analyze > Fit Model.
3.
Select $/oz and click Y.
4.
Select Type and Size and click Add.
5.
For Personality, select Stepwise.
6.
Click Run.
7.
For Stopping Rule, select P-value Threshold.
8.
For Rules, select Restrict.
9.
Current Estimates Report for a Model with Hierarchical Effects
10.
Click Make Model.