The purpose of this course is to provide students with knowledge and experience in
using regression and Analysis of Variance (ANOVA) techniques and other common statistical
modeling methods for continuous outcome data. By the end of the course, students should
feel comfortable understanding and applying commonly-used linear models to data arising
from a wide variety of disciplines. This class is introductory in that all techniques
are taught using scalars, instead of vectors and matrices and algebra, rather than
calculus. The emphasis is more on the concepts and ideas involved in model building,
data analysis, and diagnostic techniques, rather than the underlying statistical theory.
Students will learn how to cohesively report results of statistical analyses, both
orally and written. The class is taught using SAS. Students will learn how to program
every method discussed using SAS and be able to interpret all output for SAS procedures
for basic linear models.
