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.
