Linear Regression Tutorial (STAN 103)

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Course content

This course provides a general introduction to linear regression modeling.

Topics covered include:

  • Understanding simple linear regression
  • Examining model assumptions and fit
  • Overview of multiple linear regression
  • Multiple linear regression: model refinement

Course format

Course delivery includes voiceover Power Point information and accompanying reference documents.

Training time

The self-paced course is divided into 4 modules.

Each module can be reviewed in approximately 15 to 20 minutes with a total training time of approximately 1 ¼ hrs.

You may wish to complete the modules all together or as separate training sessions over a period of several days or weeks to best fit your schedule or learning preferences.

Course presenter

Mike Marin is an award-winning instructor in The School of Population and Public Health at The University of British Columbia. Mike obtained his MSc in Statistics in 2005, and has been lecturing in various units within UBC since then. He has a passion for teaching as well as the statistical sciences.

Access fee

Access to this guide is free. Go to: my.popdata.bc.ca and, if you do not already have a my.popdata account you will need to sign up and create one.

Once you have a my.popdata account, go to the Education & Training section of the my.popdata site at https://training.popdata.bc.ca/. You can then login in with your PopData account username and passphrase and self-enroll to access the guide/course.


 


Page last revised: June 9, 2015