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Regression: Forecasting Using Explanatory Factors
Pfeifer, Phillip E.; Bodily, Samuel E.; Carraway, Robert L.; Frey, Sherwood C. Jr. Technical Note QA-0693 / Published November 8, 2006 / 51 pages.
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This comprehensive technical note explains linear regression. It is intended for students with no prior knowledge of the topic. It is divided into nine sections, which may be assigned separately: 1. The simple linear model, 2. Fitting the model using least Squares, 3. Important properties of the least-squares regression line, 4. Summary regression statistics, 5. Assumptions behind the linear model, 6. Model-building Philosophy, 7. Forecasting using the linear model, 8. Using dummy variables to represent categorical variables, and 9. Useful data transformations. The sections correspond to stand-alone notes also available through Darden Business Publishing.


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  • Overview

    This comprehensive technical note explains linear regression. It is intended for students with no prior knowledge of the topic. It is divided into nine sections, which may be assigned separately: 1. The simple linear model, 2. Fitting the model using least Squares, 3. Important properties of the least-squares regression line, 4. Summary regression statistics, 5. Assumptions behind the linear model, 6. Model-building Philosophy, 7. Forecasting using the linear model, 8. Using dummy variables to represent categorical variables, and 9. Useful data transformations. The sections correspond to stand-alone notes also available through Darden Business Publishing.

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