Regression Model Building and Analysis | Continuing Education

Course description

This course provides a foundation in regression modeling for process control and prediction. Participants will explore linear relationships using graphical techniques and correlation studies, develop Simple and Multiple Linear Regression models in Minitab, and evaluate model performance. By the end of the course, learners will be able to assess model assumptions, test for significance, select among candidate models, and interpret goodness-of-fit statistics to ensure model adequacy.

Course details

Hours: 8

Credits: 1

Prerequisites: None

Corequisites: None

Build courses into a credential

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

Statistical Process Control (SPC)

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