In this session Chuck McClenon from UT Austin and Mike Laracy from Rapid Insight discuss some of the statistical concepts behind predictive modeling. From demystifying R-squared to understanding how hypothesis testing and p-values work, this session will give attendees a deeper understanding of the basic concepts that enable us to build predictive models. Learning objectives for attendees:

  • Attendees will acquire a deeper understanding of the mathematical concepts and statistical theory behind modeling.
  • Attendees will gain knowledge that can be applied to their modeling efforts and data analytics in general.
  • The Rapid Insight Analytic Suite will be used at the end of the webinar to demonstrate many of these concepts.