Binary Logistic Regression

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

Example

In this worksheet, Recommend? is the response. The response event is Yes. Age is a continuous predictor, and Facility is a categorical predictor.

C1-T	C2	C3-T
`Recommend?`	`Age`	`Facility`
Yes	69	Hillside Hospital
Yes	78	Hillside Hospital
No	39	Wellness General Hospital
No	83	Wellness General Hospital

How-to

From the Healthcare KPIs: Predict Multiple Choice Survey Responses dialog box, select Binary Logistic Regression, then click OK.
From the drop-down list, select Response in binary response/frequency format.
In Response, enter the column that contains the binary survey response. 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.
(Optional) In Frequency, enter the column that contains the counts that correspond to the response and predictor values.
In Continuous predictors, enter the continuous variables that may explain or predict the survey response. The predictors are also called X variables.
In Categorical predictors, enter the categorical classifications or group assignments, such as facility, that may explain or predict the survey response. The predictors are also called X variables.
Click OK.

Tip

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