Binary Fitted Line Plot

This example applies to the Healthcare Module. For more information, go to www.minitab.com/healthcare-module.

Example

In this worksheet, Readmitted is the response. The response event is Yes. Age is the continuous predictor.

C1-T C2
Readmitted Age
No 69
Yes 78
No 39
No 83

How-to

  1. From the Healthcare KPIs: Predict 30-Day Readmissions dialog box, select Binary Fitted Line Plot, then click OK.
  2. From the drop-down list, select Response in binary response/frequency format.
  3. In Response, enter the column that contains the binary variable indicating whether the patient was readmitted. Binary variables are categorical variables that have two possible levels, such as pass/fail or true/false. The response is also called the Y variable.
  4. In Response event, select the value that represents a readmission
  5. (Optional) In Frequency, enter the column that contains the counts that correspond to the response and predictor values in the row.
  6. In Predictor, enter the continuous variable that may explain or predict whether the patient is readmitted. The predictor is also called the X variable.
  7. Click OK.
Tip

For more information about this analysis, click Help in the main dialog box.