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Using Cigarette Data for An Introduction to Multiple Regression

Using Cigarette Data for An Introduction to Multiple Regression

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."
Keywords:
stem education, workforce development, technician training, advanced technological education
Disciplines:
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More about this material

Material Type:
Reference Material
Date Added to MERLOT:
July 18, 2016
Date Modified in MERLOT:
July 18, 2016
Author:
Submitter:
Barbra Bied Sperling
Hispanic Serving Institution
Primary Audience:
College General Ed, College Lower Division, College Upper Division, Graduate School, Professional
Technical Format:
Website
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
No

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