This example uses the Nor.jmp data table, where X is an explanatory variable and Y is the response variable. First, you explore the relationship between X and Y to determine the appropriate link function to use in the Generalized Linear Model personality of the Fit Model platform.
1.
Select Help > Sample Data Library and open Nor.jmp.
2.
Select Analyze > Fit Y By X.
3.
Select Y and click Y, Response.
4.
Select X, click X, Factor, and then click OK.
Figure 11.8 Y by X Results for Nor.jmp
You can see that Y varies nonlinearly with X and that the variance is approximately constant. Therefore, a normal distribution with a log link function is appropriate to model these data; that is, log(μi) = xi'β so that μi = exp(xi'β).
5.
Select Analyze > Fit Model.
6.
In the Personality list, select the Generalized Linear Model.
9.
Select Y and click Y.
10.
Select X and click Add.
11.
Click Run.
Figure 11.9 Nor Results

Help created on 7/12/2018