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- Interpreting a JMP Logit Output

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Feb 9, 2017 12:09 PM
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Feb 9, 2017 12:48 PM
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You have a binary outcome, **Churn** = no or **Churn** = yes. You have at least one predictor, **User** = international or **User** = non-international. Your logistic regression will fit the logit( **Churn**) versus the linear model. (Perhaps there are other predictors.)

JMP assumes that the *first* level is the *target* level. The first level is genearlly determined by the alphanumeric sorting, special lists of values (e.g., low, medium, high), or defined by the **Value Ordering** column property. JMP 13 also includes an option in the launch dialog for nominal logistic regression to specify the target level. I assume in your case that would be **Churn** = yes.

The odds ratio is the ratio of the odds of the target level to the odds of the other level. They are reported as Unit Odds Ratios for continuous predictors. This is the odds ratio per unit change in the predictor. The are also reported as the **Range Odds Ratio**. This is the odds ratio for the change in the odds from the minimum to the maximum level of the predictor. Your predictor is categorical so you will only have the **Odds Ratio** report.

The probabilty of **Churn** is available from the **Prediction Profiler**. Clck the red triangle at the top and select **Factor Proling** > **Profiler**. The Profiler is described in **Help**.

Learn it once, use it forever!

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Feb 10, 2017 8:43 AM
(1353 views)