Use CART® Regression to use complex relationships with multiple predictors to predict cost per ticket.
This example applies to the Customer Contact Center Module. For more information, go to www.minitab.com/customer-contact-center-module.
Cost per ticket is the total operating expenses of the contact center divided by the number of tickets over the same time period.
In this worksheet, Cost Per Ticket is the response. Average Monthly Schedule Adherence and Average Monthly Customer Satisfaction are the continuous variables. Call Center Location and Issue are the categorical variables. The predictors may explain differences in cost per ticket.
C1 | C2 | C3 | C4-T | C5-T |
---|---|---|---|---|
Cost Per Ticket | Average Monthly Schedule Adherence | Average Monthly Customer Satisfaction | Call Center Location | Issue |
$17.09 | 68.3 | 7.6 | East | Late payment |
$22.45 | 75.5 | 6.7 | East | Technical question |
$19.45 | 63.2 | 7.6 | West | Incorrect charge |
$21.37 | 81.5 | 7.9 | West | Technical question |
For more information about this analysis, click Help in the main dialog box.