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Fit Analyses |

In the dialog, select one **Y** variable for each fit analysis.
Create **X** effects in the model by using the **X**,
**Cross**, **Nest**, and **Expand** buttons.
An *effect* is a variable or combination
of variables that constitutes a term in the model.
There are four ways to specify effects in SAS/INSIGHT software.
In the following discussion, assume that **X1** and **X2** are
interval variables and **A** and **B** are nominal variables.
You can use the **X** button to create regressor effects of the
interval variables and main effects of the nominal variables.
Select any variable, then click the **X** button.
For example, selecting **A** and then clicking
the **X** button adds **A** to the effects list.
You can use the **Cross** button to create crossed effects.
These include polynomial effects of the interval
variables, interactions of the nominal variables,
and interaction effects of interval and nominal variables.
Select two or more variables, then click the **Cross** button.
For example, selecting **X1** and **X2** and then clicking the
**Cross** button generates the crossed effect **X1*X2**.
You can use the **Nest** button to create nested effects.
In a nested effect, a variable or crossed effect is
nested within the effects of one or more nominal variables.
Select a variable or crossed effect and one or more
nominal variables, then click the **Nest** button.
For example, selecting **X1*X2**, **A**, and **B** and then clicking
the **Nest** button generates the nested effect **X1*X2(A B)**.
You can use the **Expand** button and the
associated entry field to create expanded effects.
These include response surface effects for interval
variables and factorial effects for nominal variables.
The **Expand** button expands all possible
effects to the degree of expansion specified
in the entry field below the **Expand** button.
The value **2** is the default degree of expansion.
You can click the right button of the entry
field to increase the expansion degree by 1
or the left button to decrease it by 1.

Choose the degree of expansion, then select
variables or effects and click the **Expand** button.
For example, with degree of expansion 2 and variables
**A** and **B** selected, clicking the **Expand** button
generates three effects

**A** **B** **A*B**

With degree of expansion 2 and variables **X1** and **X2** selected,
clicking the **Expand** button generates five effects

**X1** **X2** **X1*X1** **X1*X2** **X2*X2**
**Intercept** is checked by default to
include the intercept term in the model.
As a general rule, no-intercept models should be
fit only when theoretical justification exists.
You can select one or more **Group**
variables if you have grouped data.
This creates a fit analysis for each group.
You can select a **Label** variable
to label observations in the plots.
You can select a **Freq** variable.
If you select a **Freq** variable, each observation
is assumed to represent *n* observations,
where *n* is the value of the **Freq** variable.
You can select a **Weight** variable to assign relative
weights for each observation in the analysis.
The details of weighted analyses are explained in the
"Weighted Analyses" section at the end of this chapter.
The fit variables dialog provides an **Apply** button.
The **Apply** button displays the fit window
without closing the fit variables dialog.
This makes it easy to modify the model
by adding or removing variables.
Each time you modify the model using the
**Apply** button, a *new* fit window is
displayed so you can easily compare models.
The **OK** button also displays a new
fit window but closes the dialog.

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