Modeling and Multivariate Methods - SAS

Chapter 3 Fitting Standard Least Squares Models 93
Factor Profiling
The Profiler
Note: For details about using the Profiler, see the “Visualizing, Optimizing, and Simulating Response
Surfaces” chapter on page 553.
The Profiler (or Prediction Profiler) shows prediction traces for each X variable (Figure 3.30). The vertical
dotted line for each X variable shows its current value or current setting. Use the Profiler to change one
variable at a time and examine the effect on the predicted response.
Figure 3.30 Illustration of Prediction Traces
current predicted value of
response, changes by
dragging a factor value
current value of response,
factor changes by
dragging the dotted line
95% confidence interval
on the mean response
current factor values
prediction trace, lines, and
error bars show predicted
values
If the variable is nominal, the x-axis identifies categories.
For each X variable, the value above the factor name is its current value. You change the current value by
clicking in the graph or by dragging the dotted line where you want the new current value to be.
• The horizontal dotted line shows the current predicted value of each Y variable for the current values of
the X variables.
• The black lines within the plots show how the predicted value changes when you change the current
value of an individual X variable. The 95% confidence interval for the predicted values is shown by a
dotted curve surrounding the prediction trace (for continuous variables) or an error bar (for categorical
variables).
Contour Profiler
Note: For details about using the Contour Profiler, see the “Visualizing, Optimizing, and Simulating
Response Surfaces” chapter on page 553.
Use the interactive Contour Profiler for optimizing response surfaces graphically. The Contour Profiler
shows contours for the fitted model for two factors at a time. The report also includes a surface plot.