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Modeling and Multivariate Methods - SAS

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50 Introduction to the Fit Model Platform Chapter 2<br />

Emphasis Options for St<strong>and</strong>ard Least Squares<br />

Emphasis Options for St<strong>and</strong>ard Least Squares<br />

The options in the Emphasis menu control the type of plots that you see as part of the initial analysis<br />

report for the St<strong>and</strong>ard Least Squares personality.<br />

Table 2.6 Description of the Emphasis Options<br />

Effect Leverage<br />

Effect Screening<br />

Minimal Report<br />

Starts by showing leverage <strong>and</strong> residual plots for the whole model. You can<br />

then request effect details <strong>and</strong> other statistical reports. This is the most<br />

detailed option.<br />

Shows whole model information followed by a sorted parameter estimates<br />

report with a graph <strong>and</strong> the Prediction Profiler. This option can be<br />

appropriate when you have many effects <strong>and</strong> do not want to see details until<br />

you discover which effects are stronger <strong>and</strong> which are weaker. This is the<br />

recommended method for screening designs, where there are many effects<br />

<strong>and</strong> few observations, <strong>and</strong> the quest is to find the strong effects, rather than<br />

to test significance.<br />

Suppresses all plots except the regression plot. You request the options that<br />

you want from the platform red triangle menu. This is the least detailed<br />

option.<br />

Model Specification Options<br />

Table 2.7 describes the options in the red triangle menu next to Model Specification.<br />

Table 2.7 Descriptions of the Model Specification Options<br />

Center Polynomials<br />

Set Alpha Level<br />

Save to Data Table<br />

Save to Script Window<br />

Causes a continuous term participating in a crossed term to be centered by<br />

its mean. Exceptions to centering are effects with coded or mixture<br />

properties. This option is important to make main effects tests be<br />

meaningful hypotheses in the presence of continuous crossed effects.<br />

Sets the alpha level for confidence intervals in the Fit Model analysis.<br />

Saves your specifications in the Fit Model launch window as a script that is<br />

attached to the data table. The script is named Model.<br />

For details about JSL scripting, see the JMP Scripting Guide.<br />

Outputs your specifications in the Fit Model launch window to a script<br />

window. You can save the script window <strong>and</strong> recreate the model at any time<br />

by running the script.

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