Regression Analysis
Instructor (s)
Course Description
This is a basic course in regression analysis and model-building for engineers and physical/chemical scientists. Specifically, it focuses on building empirical models for relating an observed response to one or more predictor or regressor variables. Regression methods based on linear least squares are the primary technique presented, although some attention will be given to other parameter estimation techniques. The course prerequisite is one previous course in engineering statistics. You do not need previous exposure to regression, but introductory knowledge of hypothesis testing, confidence intervals, and familiarity with matrix algebra is required. Modern regression analysis requires use of the computer. The software package utilized in this course is Minitab. We will also illustrate some SAS output for features not supported by Minitab, but you will not be required to learn SAS. You will be expected to interpret Minitab output for exams. Other statistical packages may be used for your homework, but you will need to interpret Mintab output.
Course Delivery
Online courses and materials are provided through an Internet connection. Lectures are presented via streaming media and includes video along with other visual materials as seen in the classroom. Books, exams, and course packets are still paper-based.
Online students have access to all other online resources offered by the university in the same manner as the on-campus students. Please note that online courses require a high-speed Internet connection and a Windows multimedia computer. View full list of technical requirements