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ERIC Number: EJ848320
Record Type: Journal
Publication Date: 2006-Jul
Pages: 22
Abstractor: As Provided
Reference Count: 18
ISBN: N/A
ISSN: ISSN-1069-1898
An Investigation of the Median-Median Method of Linear Regression
Walters, Elizabeth J.; Morrell, Christopher H.; Auer, Richard E.
Journal of Statistics Education, v14 n2 Jul 2006
Least squares regression is the most common method of fitting a straight line to a set of bivariate data. Another less known method that is available on Texas Instruments graphing calculators is median-median regression. This method is proposed as a simple method that may be used with middle and high school students to motivate the idea of fitting a straight line to data. The median-median line may also be viewed as a method that is not greatly affected by outliers (robust to outliers). Our paper briefly reviews the median-median regression method, considers various examples to compare the median-median line to the least squares line, and investigates the properties of the median-median line versus the least squares line using a simulation study. (Contains 8 figures and 6 tables.)
American Statistical Association. 732 North Washington Street, Alexandria, VA 22314. Tel: 703-684-1221; Tel: 888-231-3473; Fax: 703-684-2037; e-mail: asainfo@amstat.org; Web site: http://www.amstat.org/publications/jse
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Elementary Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A