Fitting Regression | Continuing Education

Course description

This course provides methods of estimating the parameters in multiple linear regression models. The learners will understand the developments of several results to predict a mean at a specific point for problems and the way that the models can be tested. The course focuses the fitting regression using the method of least squares (MLS).

Course details

Hours: 6

Credits: 1

Prerequisites: None

Corequisites: None

Build courses into a credential

This course is part of the following micro-credential(s):

Advanced Design of Experiments

Credit transfer

Have you taken this course or an equivalent course? Contact the Credit Transfer Office.

This course is not currently open for registration. There may be an equivalent course listed above.

Registration dates

Not all courses are offered each term.

Spring 2025 registration is now open.
Fall 2025 registration opens July 21, 2025.

Delivery options

In person: classes held in person on a campus/site in a classroom/lab/shop/studio for the course duration

Online - Asynchronous: 100% online delivery, no scheduled day or time course requirements with the instructor, assigned due dates

Online - Synchronous: 100% online delivery, scheduled day and time course requirements with the instructor, assigned due dates

Hybrid: any combination of in person, timetabled, on campus, online, and hyflex delivery