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Modeling and Multivariate Methods - SAS

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Chapter 24 Visualizing, Optimizing, <strong>and</strong> Simulating Response Surfaces 559<br />

The Profiler<br />

Figure 24.4 Changing one Factor From 0 to 0.75<br />

before<br />

Drag this line to<br />

a new value.<br />

These prediction<br />

traces change<br />

height.<br />

after<br />

new current<br />

predicted response<br />

new current value<br />

Prediction profiles are especially useful in multiple-response models to help judge which factor values can<br />

optimize a complex set of criteria.<br />

Click on a graph or drag the current value line right or left to change the factor’s current value. The response<br />

values change as shown by a horizontal reference line in the body of the graph. Double-click in an axis to<br />

bring up a dialog that changes its settings.<br />

Thinking about Profiling as Cross-Sectioning<br />

In the following example using Tiretread.jmp, look at the response surface of the expression for MODULUS<br />

as a function of SULFUR <strong>and</strong> SILANE (holding SILICA constant). Now look at how a grid that cuts across<br />

SILANE at the SULFUR value of 2.25. Note how the slice intersects the surface. If you transfer that down<br />

below, it becomes the profile for SILANE. Similarly, note the grid across SULFUR at the SILANE value of<br />

50. The intersection when transferred down to the SULFUR graph becomes the profile for SULFUR.

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