ERIC Number: EJ848320
Record Type: Journal
Publication Date: 2006-Jul
Pages: 22
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1069-1898
EISSN: N/A
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.)
Descriptors: Simulation, Graphing Calculators, Regression (Statistics), Least Squares Statistics, Computation, Mathematical Concepts, Mathematics Instruction, Mathematics Activities, Problem Solving, Learning Activities, Teaching Methods
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
Grant or Contract Numbers: N/A