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Title: Using Cigarette Data for An Introduction to Multiple Regression
Url: https://ww2.amstat.org/publications/jse/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 (DCMI Type Vocabulary)
Instructional Materials
Mathematics Materials
Teaching Guides
Format: html
Audience: College/University Instructors
Higher Education
Technical School First Cycle
Technical School Second Cycle
University First Cycle
University Second Cycle
Vocational Training
Language: English
Rights: Lauren McIntyre
Access Rights: Free access
Source: CAUSEweb
Full Record Views: 194
Resource URL Clicks: 32
Cumulative Rating: NOT YET RATED
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