Model Concepts

After completing this module, you should be able to ...

1. Explain how an observation is related to the predicted value from a model and "error."
2. Graphically demonstrate the "error" between an observation and a value for that observation predicted from a model.
3. Define "residual" including explaining what it measures and demonstrating what it looks like on a plot.
4. Define "residual sum-of-squares" incluing explaining what it measures and demonstrating what it looks like on a plot.
5. Explain how residual degrees-of-freedom are calculated.
6. Explain what "mean-squares" are and what they measure.