This comprehensive technical note explains linear regression. It is intended for students without prior knowlede of the topic. 1: It is divided into nine portions, which can be assigned individually to be shared. The simple linear model, 2 Mounting the model with the least squares 3 Important properties of the least squares regression line, 4 Summary regression statistics, 5th Assumptions behind the linear model, 6 Model-building philosophy, 7 Predictions of the linear model, 8 With dummy variables to … Read more »

This comprehensive technical note explains linear regression. It is intended for students without prior knowlede of the topic. 1: It is divided into nine portions, which can be assigned individually to be shared. The simple linear model, 2 Mounting the model with the least squares 3 Important properties of the least squares regression line, 4 Summary regression statistics, 5th Assumptions behind the linear model, 6 Model-building philosophy, 7 Predictions of the linear model, 8 To provide with dummy variables categorical variables and 9th Useful data transformations. Correspond to the sections in the stand-alone notes available by Darden Business Publishing
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from
Phillip E. Pfeifer,
Samuel E physical,
Robert I Carraway,
Sherwood C. Frey, Jr.
52 pages.
Release Date: 08 November, 2006. Prod #: UV1299-PDF-ENG
Regression Forecasting With explanatory factors HBR case solution