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Unformatted text preview: STA 6207 Regression Analysis Instructor: Dr. Larry Winner Office: 228 Griffin/Floyd Phone: (352) 273-2995 E-Mail: email@example.com Office Hours: TBA (Will be posted on webpage) Text: Applied Regression Analysis, 2nd. Ed . by Rawlings, Pantula, Dickey Course Description: This course provides a survey of theory and applications in linear regression analysis. A full treatment of the linear regression model is covered, focusing on results from mathematical statistics making use of matrix algebra. Computational methods will be used to analyze datasets based on ``canned routines'' as well as a matrix language . Tentative Topics: Simple Linear Regression (Chapter 1) Brief Introduction to Matrix Algebra (Chapter 2.1-2.8) Multiple Regression in Matrix Terms (Chapter 3) Analysis of Variance and Quadratic Forms (Chapter 4) Case Study (Chapter 5) Model Building: Selection of Independent Variables (Chapter 7) Polynomial Models (Chapter 8) Models with Class Variables (Chapter 9.6-9.7) Models with Class Variables (Chapter 9....
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