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Upcoming Dates and Locations

Virtual seminars run as 1/2-day sessions. In-person classes run as full-day sessions. See the virtual session daily class times.
There are no public training classes scheduled right now but this class can be delivered privately to 6 or more people at any time. Ask us for details!

Course Details

Objectives

  • Understand how to measure the relationship between two or more process variables.
  • Learn to distinguish between different available procedures in order to conduct regression analysis.
  • Learn the assumptions related to regression analysis.
  • Recognize ways to address situations in which the assumptions do not hold.
  • Apply the concepts addressed to various data sets and interpret the results.
  • Recognize how regression analysis can be applied to your own organization.

Topics

  • Introduction to linear regression 
  • Basics of regression analysis
  • General procedure for conducting regression analysis (one X)
  • Regression analysis with transformed data
  • Introduction to multiple linear regression
  • Working with multiple regression
  • General procedure for multiple regression
  • Introduction to curvilinear regression
  • Logistic regression
  • Using MinitabTM in support of statistical tools

Who Should Attend

Managers and professionals who are engaged in process improvement activities, as well as associated quality, engineering, manufacturing, process, and industrial personnel. Also valuable for anyone involved in a Lean and/or Six Sigma deployment.

  • Virtual Half-Days

  • In-Person Full-Days

  • CEUs

    1.5

Virtual Session Details

Oriel STAT A MATRIX’s Goal

Help our life science customers meet regulatory requirements, boost efficiency, and improve patient outcomes

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