Academic researchers commonly use ordinary least squares regression to investigate relationships between variables. While regression is ubiquitous, using it effectively requires technical knowledge about how to build and interpret regression models appropriately. This JMP Academic webinar helps you build this knowledge and shows you how to implement ordinary least squares regression in JMP Student Edition, full-featured and no-cost JMP software for all academic users. Topics include:

• Building ordinary least squares regression models with both continuous and categorical predictors.
• Interpreting overall model fit statistics.
• Interpreting parameter estimates and hypothesis test results.
• Interactive visuals for model exploration.

This webinar will be followed by another on identifying and addressing common problems with ordinary least squares regression models.

Recorded using JMP Student Edition 19

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Register for future JMP Academic webinars at jmp.com/academic-webinars