Introduction to Regression in R (Part 1 of 2) 2023-11-09

From Glenda Gaines January 05, 2024

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Regression modeling—using input variables to predict or model the value of a response—is widely used by researchers in nearly every domain. While many statistics courses introduce the concept of regression, the practice of actually applying statistical modeling to real datasets can be complex and confusing for new learners. This workshop series covers the fundamentals of using regression modeling in practice through guided case studies. We emphasize best practices and intuition, and introduce only a small amount of math.

Prerequisites: Participants must have taken DataLab’s “R Basics” workshop series and/or have prior experience using R, be comfortable with basic R syntax, and have the latest version of R and RStudio pre-installed and running on their laptops. We also strongly encourage learners to have either taken DataLab’s Intermediate R Data Visualization workshop, or have general familiarity with how to make plots in R using the ggplot2 package.

The copyright on this video is owned by the Regents of the University of California and is licensed for reuse under the Creative Commons Attribution 4.0 International (CC BY 4.0) License.

Tags: datalabdatalab eventdatalab workshopregression in rr language

Appears In: UC Davis DataLab: Data Science and Informatics Information and Educational Technology Library Research Graduate Studies Computer Science

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