CART^® Regression

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

Example

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

C1	C2	C3-T
`Length of Stay`	`Cost`	`Facility`
3	27000	Hillside Hospital
12	62300	Hillside Hospital
3	22540	Wellness General Hospital
6	47390	Wellness General Hospital

How-to

From the Healthcare KPIs: Predict Length of Stay dialog box, select CART® Regression, then click OK.
In Response, enter the length of stay column. The response is also called the Y variable.
In Continuous predictors, enter the continuous variables that may explain or predict changes in length of stay. 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 length of stay. 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