Ordinary least squares regression is a foundational statistical method in many academic research settings, but to draw meaningful conclusions from the results, you first should confirm that the regression model doesn’t exhibit any problems. If you’re in need of a primer on common problems in regression modeling and what to do if you encounter them, then this JMP Academic webinar is for you. Topics include:

• Violations of normality or constant variance.
• Strong correlations among predictors.
• Outliers biasing the results.
• Nonlinear relationships.

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