Fit Regression Model for Predict Tickets By Type

Use Fit Regression Model to use multiple predictors to predict tickets by type.

This example applies to the Customer Contact Center Module. For more information, go to www.minitab.com/customer-contact-center-module.

Example

Tickets by type is the number of tickets for each type of issue received.

In this worksheet, Number of Tickets is the response. Schedule Adherence is a continuous predictor, and Ticket Type is a categorical predictor. The predictors may explain differences in the number of tickets by type.

C1	C2	C3-T
`Number of Tickets`	`Schedule Adherence`	`Ticket Type`
51	60	Service request
36	80	Service request
20	72	Feedback
16	58	Feedback

How-to

Choose Solutions Modules > Functions > Customer Contact Center KPIs, then select Launch.
Under Utilization and Cost, select Tickets by type.
Select Predict tickets by type, then click OK.
Select Fit Regression Model, then click OK.
In Responses, enter the column that contains the tickets by type data. The response is also called the Y variable.
In Continuous predictors, enter the columns of numeric data that may explain or predict changes in tickets by type. The predictors are also called X variables.
In Categorical predictors, enter the categorical classifications or group assignments that may explain or predict changes in tickets by type. The predictors are also called X variables.
Click OK.

Tip

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