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Syllabus
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FYA

Regression-type Analyses


This is not a statistics course, so we will not be able to cover regression in full detail. However, we will discuss the general ideas behind multiple regression, and how and when to use variants like logistic regression, negative binomial regression, HLM, and so on.

 

Topics

  • Linear models of the form Y = b0 +b1X1+b2X2+ε

  • When to use various regression-like methods

 

Handouts

  • Introduction to Regression. [html]
  • Regression line. [html]
  • Least Squares Approach [html]
  • Multiple Regression [html]
  • regression-like models [html]

 

Bibliography


  • David Freedman, Robert Pisani & Roger Purves (1998) Statistics, 3rd Ed.  New York: Norton [a superb textbook]


Send mail to sborgatti@uky.edu with questions or comments about this web site. Copyright © 2008 by Steve Borgatti. Last modified: 11/12/09

 

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