This comprehensive technical note explains the linear regression. It is designed for students with no prior knowlede of this topic. It is divided into nine sections, which can be assigned separately: 1. Simple linear model, 2. Installing the model using least squares, 3. Important properties of the least squares regression line, 4. Summary regression statistics 5. Assumptions in the linear model, 6. Model-building philosophy, 7. Forecasting using a linear model, 8. The use of dummy variables to represent the categorical variables, and 9. Useful data conversion. Sections respective autonomous notes are also available through the publication Darden Business «Hide
by Phillip E. Pfeifer, Samuel E injuries, Robert I Carraway, Sherwood C. Frey Jr. 52 pages. Publication Date: November 8, 2006. Prod. #: UV1299-PDF-ENG
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