Binary Fitted Line Plot for Predict Service Level

Use Binary Fitted Line Plot to use one continuous predictor to predict whether a service level agreement is likely to be met.

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

Example

Service level is the ability to meet the standards in a Service Level Agreement (SLA).

In this worksheet, Service Level is the response. The response event is Not met. Schedule Adherence is the continuous predictor.

Choose Solutions Modules > Functions > Customer Contact Center KPIs, then select Launch.
Under Service Level, select Service level.
Select Predict service level, then click OK.
Select Binary Fitted Line Plot, then click OK.
In Response, enter the binary variable that contains the service level agreement data. 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.
In Response event, select the value that represents an unmet service level agreement.
(Optional) In Frequency, enter the column that contains the counts that correspond to the response and predictor values in the row.
In Predictor, enter the continuous variable that may explain or predict whether a service level agreement is not met. The predictor is also called the X variable.
Click OK.

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