LIVE WEBINAR
Academic
LIVE WEBINAR
Regression with Non-normal Response Data
Date: Wednesday, June 25
Time: 12:00 – 1:00 p.m. ET (UTC–04:00)
Duration: 60 minutes
Registration: FREE
If there’s one caveat that most of us remember about linear regression, it’s this: Regression assumes normality. More specifically, ordinary least squares regression assumes that the response (aka. dependent) variable follows a normal distribution. But what if our data violate this assumption (e.g., our response variable is highly skewed or consists of only integer values), potentially causing us to make incorrect inferences from the results? Thankfully, there are techniques to easily handle this all-too-common scenario.
This webinar, intended for academic researchers, will teach you concepts and techniques for conducting linear regression with non-normal response data, including how to implement these techniques in the JMP Student Edition, a no-cost, full-featured version of JMP exclusively for academic use. Topics include:
- Assessing normality
- Transforming response variables
- Generalized linear models (GLMs) that use a more appropriate response distribution
- Selecting the best fitting distribution for your GLM