Correlation and linear regression

Correlation and linear regression This workshop will discuss 1) parametric and non-parametric approaches to estimate the correlation between two quantitative variables, 2) how we can use regression analysis to develop equations describing how the value of one quantitative variable changes as the value of another quantitative variable changes, 3) test hypotheses about the terms that are produced in our equations, 4) determine how well our resulting equations explain variability in the data, and 5) assess the validity of the assumptions that we make when completing regression analyses. If time allows, the workshop will include a walkthrough of how to complete correlation and regression analyses using SAS Enterprise Guide.

Wednesday, May 22 at 1:00pm to 4:00pm

Joyner Library, 1008
Greenville, NC 27858-4353

Event Type

Academic

Departments

Office for Faculty Excellence

Target Audience

Faculty

Cost

0

Hashtag

##Correlation#Linear#Regression

Contact Name

Hui Bian

Contact Phone Number

252-328-5428

Contact Email

bianh@ecu.edu

Registration Website

https://collab.ecu.edu/sites/cferegistration/Pages/OFE-and-BSOM-OFD-Workshop-Registration.aspx

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