Using Cigarette Data for An Introduction to Multiple Regression

You are not logged in.

advanced search

printer-friendly version

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

Screenshot

Full Image

Source:

CAUSEweb

Full Record Views:

232

Resource URL Clicks:

Cumulative Rating:

NOT YET RATED

Report a Problem with this Resource Record

Resource Comments

(no comments available yet for this resource)

forget your password?

Manage your resources
Save, organize, and share resources that you find.

Subscribe to bulletins
Automatically be notified about new resources that match your interests.

It's easy, fast, and FREE!

get your own login

AMSER =
FREE ONLINE
RESOURCES
for the
CLASSROOM

Leave Feedback

http://amser.org/