BIOL 59.01 General Linear Models

This is an advanced course in general linear statistical models. Topics covered include simple linear regression, multiple regression, regression with qualitative and quantitative parameters, and one and two-way analysis of variance. Emphasis is on model building, experimental design, and diagnostic measures for linear models. Statistical analyses will be programmed in MATLAB using matrix algebra, though no prior programming experience is necessary.

Instructor

B. Calsbeek

Prerequisite

One from among BIOL 29, QSS 15, GOVT 10, ECON 10, SOCY 10, or PSYC 10

Degree Requirement Attributes

Dist:QDS

The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.

Offered

• Winter