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ERIC Number: EJ848324
Record Type: Journal
Publication Date: 2006-Jul
Pages: 9
Abstractor: As Provided
Reference Count: 16
ISSN: ISSN-1069-1898
Assessing the U.S. Senate Vote on the Corporate Average Fuel Economy (CAFE) Standard
Preston, Scott
Journal of Statistics Education, v14 n2 Jul 2006
The dataset presented here illustrates to students the utility of logistic regression. Its analysis results in a fit that explains much of how senators vote on a particular bill, and allows for quantification of the effects of ideology and money on the vote. A number of interesting quantitative interpretations follow from a good fit. A successful analysis makes use of a number of ideas discussed in applied courses: descriptive statistics, inferential methods, transformation of variables, and the handling of outliers and special cases. All these issues arise in the context of data on variables that require of students no specialized knowledge. Students have strong qualitative preconceptions about the relationships among the variables. The final results quantify, and nicely confirm, many of those conceptions. (Contains 3 figures and 4 tables.)
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A