Example of Logistic Regression Using the Choice Platform

Select Help > Sample Data Library and open Lung Cancer Responses.jmp.

Notice this data table has only one column (Lung Cancer) with two rows (Cancer and NoCancer).

Select Analyze > Consumer Research > Choice

Select Multiple Tables, Cross-Referenced from the list next to Data Format.

Click Select Data Table, select Lung Cancer Responses.jmp,and click OK.

Select Lung Cancer and click Profile ID.

Select Lung Cancer and click Add.

Open the Response Data outline.

Click Select Data Table, select Lung Cancer Choice.jmp, and click OK.

10.

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Select Lung Cancer and click Profile ID Chosen.

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Select Choice1 and Choice2 and click Profile ID Choices.

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Select Count and click Freq.

11.

Open the Subject Data outline.

12.

Click Select Data Table, select Lung Cancer Choice.jmp, and click OK.

13.

Select Smoker and click Add.

14.

Click Run Model.

Select Help > Sample Data Library and open Lung Cancer.jmp.

Select Analyze > Fit Model.

Notice that the likelihood ratio chi-square test for Smoker*Lung Cancer in the Choice model matches the likelihood ratio chi-square test for Smoker in the Logistic model. The reports shown in Choice Modeling Logistic Regression Results and Fit Model Nominal Logistic Regression Results support the conclusion that smoking has a strong effect on developing lung cancer. See Logistic Regression Models in the Fitting Linear Models book for more details.