Multi-vari Studies, Correlation, and Linear Regression in Six Sigma
Overview/Description Target Audience Expected Duration Lesson Objectives Course Number Overview/Description
In the Analyze stage of the Six Sigma DMAIC process, project teams carefully analyze process output and input variables. The goal of this analysis is to narrow down the many possible inputs identified during the Measure stage. The analysis is carried out using tools that help identify a few probable root causes that are impacting process performance. This course introduces some key tools used for exploratory data analysis in Six Sigma, such as multi-vari studies, correlation analysis, and regression models. It also explains the correlation coefficient and its statistical significance. In addition, the course helps you interpret the linear regression equation, understand the steps in hypothesis testing for regression statistics and explore the use of a regression model for prediction and estimation of outcomes. This course is aligned to the ASQ Body of Knowledge and is designed to assist Green Belt candidates toward achieving their certifications and becoming productive members of their Six Sigma project teams.
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level