July 2017 Member Webinar: The Multi-Faceted World of Residuals

by Karen Grace-Martin


Residuals can be a very broad topic – one that most everyone has heard of, but few people truly understand. It’s time to change that.

By definition, a “residual” is “the quantity remaining after other things have been subtracted or allowed for.” In statistics, we use the term in a similar fashion.

Residuals come in various forms:

  • Standardized
  • Studentized
  • Pearson
  • Deviance

But which ones do we use… and why?

In July’s webinar for Statistically Speaking members, guest instructor Jeff Meyer will cover the ins and outs of residuals. We’ll dig into what residuals are in order to gain a more intuitive understanding of what information residuals can provide about a model, as well as the different types and when to use which.

We’ll review and compare what residuals are in linear regression, ANOVA, and generalized models. Then we’ll focus on how to extract information from this “leftover” to improve our statistical modeling.

Date and Time

Wednesday, July 19, 2017
3 pm – 4:30 pm (US EDT)
(In a different time zone?)

About the Instructor

Jeff Meyer has worked with The Analysis Factor since 2013.

Jeff started working professionally with data in 1987 after obtaining his MBA from the Thunderbird School of Global Management. Over the next twenty years he managed money for international banks and hedge funds in New York, Saudi Arabia and London.

His responsibilities included creating financial models to analyze economic and market risks and served as chief portfolio manager.

With the collapse of the financial markets in 2008 Jeff decided to turn his efforts to using statistical analysis for the purpose of creating sound public policy. He obtained a second masters from NYU Wagner School of Public Service with a focus on quantitative analysis within Public Policy.

Jeff understands that being an effective instructor takes more than knowledge of the subject matter and applying a logical approach to analyzing data. You have to also enjoy working with people and most importantly care about their success.

Not a Member Yet?

It’s never too late to join the hottest stats club around.

Just head over to our enrollment page to sign up for Statistically Speaking.

You’ll get exclusive access to this month’s webinar, plus live Q&A sessions, video recordings of all the month’s content, and more.

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{ 1 comment… read it below or add one }


heureux de vous rejoindre.
Je ne sais pas si je poste au bon endroit, je n’ai pas l’habitude des forums.
Je suis plutôt habitué à simplement lire sans participer.
Mais certains sujets m’ont tellement motivé et apporté que j’ai décidé de m’inscrire.


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