Dear intending participant(s),

Model validation is a vital part of the statistical modelling process, but is often overlooked in statistical courses.
This process allows the analyst to properly validate the assumptions underlying the model, once applied to the data.

In this presentation, we will look at residual analysis and influence measures for linear models, with some associated topics. The talk is aimed at students and early career data professionals who have already encountered conventional regression analyses, and are familiar with the model fitting process in R (i.e. the ‘’lm()’’ function).

The talk will introduce a mixture of graphical procedures, statistical measures and hypothesis tests, which the attendees are invited to learn more about beyond the talk. The talk will also feature the {CAR} R package, but all of the other functionality is available in Base R or Tidyverse.

Kindly note that attendance is FREE OF CHARGE! Zoom link will be shared only with those who register for this webinar.

Thank you for being part of the progress... We move!!!

Timothy A. OGUNLEYE,
Coordinator,
Osun R Users' Group.
Telephone Contact (WhatsApp): +2348068998580
Email Contact: osunrug@rug.org.com 
Webpage: https://www.rug.org.ng