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

by Karen Grace-Martin

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Most analysts’ primary focus is to check the distributional assumptions with regards to residuals. They must be independent and identically distributed (i.i.d.) with a mean of zero and constant variance.

Residuals can also give us insight into the quality of our models.

In this webinar, we’ll review and compare what residuals are in linear regression, ANOVA, and generalized linear models. Jeff will cover:

  • Which residuals — standardized, studentized, Pearson, deviance, etc. — we use and why
  • How to determine if distributional assumptions have been met
  • How to use graphs to discover issues like non-linearity, omitted variables, and heteroskedasticity

Knowing how to piece this information together will improve your statistical modeling skills.


Note: This webinar is an exclusive benefit for members of the Statistically Speaking Membership Program.

About the Instructor

Jeff Meyer is a statistical consultant, instructor and writer for The Analysis Factor.

Jeff has an MBA from the Thunderbird School of Global Management and an MPA with a focus on policy from NYU Wagner School of Public Service.

Not a Member Yet?

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

You’ll get exclusive access to this month’s webinar live, weekly live Q&A sessions, a private stats forum, 60+ recordings of past webinars (including this one), and more.

 

{ 1 comment… read it below or add one }

APeaddy

Bonjour
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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