Fit Regression Model

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

Example

In this worksheet, Reimbursement Amount is the response. Hospitalization Days and Number of Procedures are continuous predictors. The predictors may explain differences in the reimbursement amount.

C1 C2 C3
Reimbursement Amount Hospitalization Days Number of Procedures
3006 3 2
3750 2 3
4060 7 1
3900 4 5

How-to

  1. From the Healthcare KPIs: Predict Reimbursement Amounts dialog box, select Fit Regression Model, then click OK.
  2. In Responses, enter the reimbursement amount column. The response is also called the Y variable.
  3. In Continuous predictors, enter the columns of numeric data that may explain or predict changes in the reimbursement amount. The predictors are also called X variables.
  4. In Categorical predictors, enter the categorical classifications or group assignments, such as facility, that may explain or predict changes in the reimbursement amount. The predictors are also called X variables.
  5. Click OK.
Tip

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