CART^® Regression

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

Example

In this worksheet, Rating is the response. Length of Stay is a continuous predictor and Facility is a categorical predictor. The predictors may explain differences in survey response.

C1	C2	C3
`Rating`	`Length of Stay`	`Facility`
8	3	Hillside Hospital
2	12	Hillside Hospital
4	3	Wellness General Hospital
7	6	Wellness General Hospital

How-to

From the Healthcare KPIs: Predict Rating Scale Survey Responses dialog box, select CART® Regression, then click OK.
In Response, enter the survey response column. The response is also called the Y variable.
In Continuous predictors, enter the continuous variables that may explain or predict changes in the survey responses. 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 changes in the survey responses. The predictors are also called X variables.
Click OK.

Tip

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

CART® Regression

Example

How-to

Tip

CART^® Regression