Create a Generalized Linear Model
Here are the steps
to create a generalized linear model:
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From the
Data pane,
drag and drop the
Age at Death variable into
the
Response field in the right pane.
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In the
Data pane,
hold down the Ctrl key, and select
Blood Pressure Status,
Cause
of Death,
Leaf ID (1),
Sex,
Smoking
Status,
Cholesterol,
Height,
Smoking,
Weight,
and
Diastolic*Systolic. Drag and drop these
variables onto the model pane.
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Click the
Properties tab
in the right pane. The
Distribution property enables you to specify the distribution of the
response variable and to build a model based on that distribution. The default distribution is
Normal.
To determine whether the
normal distribution applies to the response variable, click
![Show Actions Button](images/showactionsbutton.png)
in the
Data pane, and select
Measure
Details. In the
Measure Details window,
select
Age at Death.
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Notice that Age
at Death is not normally distributed and is slightly
skewed left. Click Close.
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Although the distribution is not exactly Poisson, use the
Poisson distribution for this example. For the
Distribution property, select
Poisson.
Next, select
Identity for
Link function.
Note: You are encouraged to repeat
this example with different distributions and link functions and compare
their performance and to familiarize yourself with SAS Visual Statistics.
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Last updated: January 8, 2019