1. A method for determining one or more causes for variability in data, comprising: selecting a first range of a multivariate model output data on a user interface; and employing a computing system, operatively coupled to the user interface, to determine one or more process data causing a variability of the multivariate model output data in the first range when compared to a second range of the multivariate model output data, wherein at least some of the process data comprises data derived from a physical measurement of a process variable.