Stat 512: Applied Regression Analysis (Banner Course Number: 51200)

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We believe the information about textbooks to be accurate but the campus bookstores are the official source of information on textbooks. Please check with them for verification before purchasing texts for a specific academic semester or session.

Fall 2009 textbooks are:

For Li, Bo -- Cody & Smith, Applied Statistics and SAS Programming Language, 5th Edition, Required
For Li, Bo -- Kutner, Nachstein, Neter & Li, Applied Linear Statistical Models, 5th Edition, Required
For Levine, M. -- Cody & Smith, Applied Statistics and SAS Programming Language, 5th Edition, Required
For Levine, M. -- Kutner, Nachstein, Neter & Li, Applied Linear Statistical Models, 5th Edition, Required
For Jennings, K. -- Cody & Smith, Applied Statistics and SAS Programming Language, 5th Edition, Required
For Jennings, K. -- Kutner, Nachstein, Neter & Li, Applied Linear Statistical Models, 5th Edition, Required

Summer 2009 textbooks were:

For Knapp, S. -- Cody & Smith, Applied Statistics and SAS Programming Language, 5th Edition, Required
For Knapp, S. -- Kutner, Nachstein, Neter & Li, Applied Linear Statistical Models, 5th Edition, Required

Spring 2010 textbooks will be:

For Gu, C. -- Kutner, Nachstein, Neter & Li, Applied Linear Statistical Models, 5th Edition, Required
For Gu, C. -- Cody & Smith, Applied Statistics and SAS Programming Language, 5th Edition, Required
For Xi, B. -- Cody & Smith, Applied Statistics and SAS Programming Language, 5th Edition, Required
For Xi, B. -- Kutner, Nachstein, Neter & Li, Applied Linear Statistical Models, 5th Edition, Required

Outline:

  1. Review of basic statistics; introduction to SAS; simple linear regression

  2. Inference in simple linear regression

  3. Assessing a regression model and further inference

  4. Basic multiple regression

  5. Full vs. Reduced model tests, polynomial regression, indicator variables

  6. Selection and assessment of regression models

  7. Further topics: coding data, orthogonal polynomials

  8. One-way analysis of variance

  9. Examination of treatment effects: contrasts and Bonferroni, Scheffe, Tukey and Newman-Keuls procedures for simultaneous inference

  10. Examining ANOVA models, transformations of the dependent variable

  11. Random effects and introduction to two-way models

  12. Examination of treatment effects in two-way models