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Title: Using Cigarette Data for An Introduction to Multiple Regression
Url: http://jse.amstat.org/v2n1/datasets.mcintyre.html
Creator: McIntyre, Lauren
Publisher: North Carolina State University
Description: This article, created by Lauran McIntyre of North Carolina State University, describes a dataset containing information for twenty-five brands of domestic cigarettes. The information collected includes: measurements of weight, tar, nicotine and carbon monoxide. The dataset can be used to illustrate multiple regression, outliers, and collinearity. Speaking to this, the author states: "The dataset is useful for introducing the ideas of multiple regression and provides examples of an outlier and a pair of collinear variables."
LC Classification: Science -- Mathematics -- Mathematical statistics -- Addresses, essays, lectures
Science -- Mathematics -- Mathematical statistics -- Multivariate analysis -- Regression analysis. Correlation analysis
Technology -- Manufactures -- Miscellaneous industries -- Tobacco industry -- Cigars and cigarettes
GEM Subject: Mathematics -- Statistics
Health -- Smoking
Key Concept: Mathematics -- Correlation
Mathematics -- Statistics
Date Issued: 1994
Resource Type: Dataset
Reference Material
Instructional Material
Instructional Material -- Instructor Guide/Manual
Format: Document -- HTML
Audience: Educator
Learner
Education Level: Higher Education
Higher Education -- Undergraduate (Lower Division)
Higher Education -- Undergraduate (Upper Division)
Higher Education -- Technical Education (Upper Division)
Higher Education -- Technical Education (Lower Division)
Vocational/Professional Development Education
Language: English
Rights: Lauren McIntyre
Access Rights: Free access
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Source: CAUSEweb
Full Record Views: 216
Resource URL Clicks: 57
Cumulative Rating: NOT YET RATED
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