Linear Regression

Linear regression is on of the most powerful tools we have in statistics, and thus modeling. However, there are also many assumptions that must be met to properly use linear regression and a great deal of the spatial data we need to model with does not meet these assumptions.

Learning Outcomes:

At the end of this module, you should be able to:

• State the assumptions of linear regression
• Completing an experiment from start to finish using linear regression

Activities

• Presentation: Linear Regression, The Whole Story!
• Interactive Linear Regression Tool
• Note on p-values

Lab

See the Canvas Assigment for the lab details.

• Data from 2013
• Data from 2015
  
• Data from 2016