Fitted Line Plot for Predict Average Speed Of Answer

Use Fitted Line Plot to use one continuous predictor to predict speed of answer.

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

Example

Speed of answer is the time from when a customer enters the queue to the time when an agent responds to the ticket.

In this worksheet, Speed of Answer is the response. Schedule Adherence is the predictor and may explain differences in speed of answer.

C1 C2
Speed of Answer Schedule Adherence
38 60
28 80
22 76
18 80

How-to

  1. Choose Solutions Modules > Functions > Customer Contact Center KPIs, then select Launch.
  2. Under Service Level, select Average speed of answer.
  3. Select Predict average speed of answer, then click OK.
  4. Select Fitted Line Plot, then click OK.
  5. In Response (Y), enter the column that contains the speed of answer data. The response is also called the Y variable.
  6. In Predictor (X), enter a column of numeric data that may explain or predict changes in speed of answer. The predictor is also called the X variable.
  7. Click OK.
Tip

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