STA 210 - Regression Analysis

Duke University

Learn approaches for analyzing multivariate data sets, emphasizing analysis of variance, linear regression, and logistic regression. Learn techniques for checking the appropriateness of proposed models, such as residual analyses and case influence diagnostics, and techniques for selecting models. Gain experience dealing with the challenges that arise in practice through assignments that utilize real-world data. This class emphasizes data analysis over mathematical theory.

Posted on:
January 6, 2022
Length:
1 minute read, 62 words
Categories:
course
Tags:
regression statistics
See Also:
Modernizing the undergraduate regression analysis course
An Educator's Perspective of the Tidyverse
OpenIntro