Regression Analysis
CSS 301
Spring 2012 not offered
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Statistical techniques that 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-century 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). |
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Essential Capabilities:
None |
| 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 |
Additional Requirements and/or Comments:
Likely class time: three or four sessions plus several lab sessions to allow students to experience the frustration, excitement, and satisfaction of empirical investigations. No calculus required. A CSS elective course. |
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