Modeling and Multivariate Methods - SAS

Chapter 3 Fitting Standard Least Squares Models 97
Factor Profiling
3. Select Y and click Y.
4. Make sure that the Degree box has a 2 in it.
5. Select Ct, A, T, and Cn and click Macros > Factorial to Degree.
6. Click Run.
7. From the red triangle menu next to Response Y, select Factor Profiling > Interaction Plots.
Figure 3.34 Interaction Plots
In an Interaction Plot, evidence of interaction shows as nonparallel lines. For example, in the T*Cn plot in
the bottom row of plots, the effect of Cn is very small at the low values of temperature. However, the Cn
effect diverges widely for the high values of temperature.
Cube Plots
The Cube Plots option displays a set of predicted values for the extremes of the factor ranges. These values
appear on the vertices of cubes (Figure 3.35). If a factor is nominal, then the vertices are the first and last
level.
Example of Cube Plots
1. Open the Reactor.jmp sample data table.
2. Select Analyze > Fit Model.
3. Select Y and click Y.
4. Make sure that the Degree box has a 2 in it.
5. Select Ct, A, T, and Cn and click Macros > Factorial to Degree.