Regression and Big Data

(Stats 679, 1 credit)

This course covers foundational linear and multiple regression concepts, as well as experimental design concepts such as randomization, blocking, replication, ANOVA models, and pairwise tests. The course uses the statistical programming language, R, and students will be expected to use statistical packages, draw conclusions based on their analysis, and communicate the results.

This course is part of the curriculum for: