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The manager of a physician's office wants to know which factors influence patient satisfaction. Patients are asked whether they are unlikely, somewhat likely, or very likely to return for follow-up care. Relevant predictors include employment status, age, and proximity to office.
You can use this data to demonstrate Ordinal Logistic Regression.
| Worksheet column | Description | Variable type |
|---|---|---|
| Return Appointment | The likelihood of returning for an appointment: Unlikely, Somewhat Likely, or Very Likely | Response |
| Employment Status | The employment status: Employed or Unemployed | Categorical predictor |
| Age | The age of the patient in years | Predictor |
| Distance | The distance the patient has to travel to the appointment in miles | Predictor |
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