Name: Forced Expiratory Volume (FEV) Data Size: 654 observations, 5 variables Descriptive Abstract: Sample of 654 youths, aged 3 to 19, in the area of East Boston during middle to late 1970's. Interest concerns the relationship between smoking and FEV. Since the study is necessarily observational, statistical adjustment via regression models clarifies the relationship. Sources: Rosner, B. (1999), Fundamentals of Biostatistics, 5th Ed., Pacific Grove, CA: Duxbury Columns Label Description 1-3 age discrete measure, positive integer (years) 5-10 fev continuous measure (liters) 12-15 ht continuous measure (inches) 19 sex discrete/nominal (Female coded 0, Male coded 1) 25 smoke discrete/nominal (Nonsmoker coded 0, Smoker coded 1) PEDAGOGICAL NOTES: This is a versatile dataset that can be used throughout an introductory statistics course as well as an introductory modelling course. It includes many issues from statistical adjustment in observational studies, to subgroup analysis, quadratic regression and analysis of covariance. REFERENCES: Kahn,M. (2003), "Data Sleuth," STATS, 37, 24. SUBMITTED BY: Michael J. Kahn Department of Mathematics and Computer Science Wheaton College Norton, MA 02766 (508) 286-5690 mkahn@wheatonma.edu