Introduction to Regression Analysis
CSS 301
Spring 2008
| Section:
01
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Statistical techniques which reveal (or not) relationships among variables are useful in law, business, and government, as well as in academic disciplines, particularly social sciences. These techniques have immediate application in senior theses and project papers. Examples: determinants of voting behavior; influences on executive compensation; crop yields and emigration in 19th C. Europe. This minicourse will introduce CSS juniors and seniors to some basic tools, including the development of hypotheses, equation specification, and simple and multiple regression, with associated statistics (coefficient estimation, t-statistics, statistical significance, and R squared) and with attention to several problems (multicollinearity, omitted variables). Likely class time: three or four sessions plus several lab sessions, to allow students to experience the frustration, excitement, and satisfacation of empirical investigations. No calculus required. A CSS elective course. |
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Essential Capabilities:
Quantitative Reasoning |
| Credit: .25 |
Gen Ed Area Dept:
SBS CSS |
| Course Format: Discussion | Grading Mode: Credit/Unsatisfactory |
| Level: UGRD |
Prerequisites: None |
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Fulfills a Requirement for: None |
| SECTION 01 - 3rd Quarter |
Major Readings: Wesleyan RJ Julia Bookstore
TBA
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Examinations and Assignments:
No final. Written assignments. |
| Instructor(s): Miller,Richard A. Times: .M.W... 09:00AM-10:00AM; Location: PAC413; |
Permission of Instructor Required
Enrollment capacity: 10 | Permission of instructor will be granted during the drop/add period. Students must submit either a ranked or unranked drop/add request for this course. |
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