Multiple Regression: Higher Order Terms and Additional Explanatory Variables

Multiple regression allows a lot of flexibility in modeling. This video provides a high level summary of how additional explanatory variables are added to a regression model, how the parameters are interpreted, and how inference is performed. A physics experiment demonstrates the utility of adding quadratic and cubic terms to the model. A biological observational study provides an example of adding additional explanatory variables.

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