Visualisation of Lines of Best Fit

Autor/inn/en	Rudziewicz, Michael; Bossé, Michael J.; Marland, Eric S.; Rhoads, Gregory S.
Titel	Visualisation of Lines of Best Fit
Quelle	In: International Journal for Mathematics Teaching and Learning, 18 (2017) 3, S.359-382 (24 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1473-0111
Schlagwörter	Visualization; Pattern Recognition; Graphs; Data; Geometry; College Students; Statistical Analysis; Geometric Concepts; Regression (Statistics) + Suchen Sie Ihr Suchwort? Visualisation; Visualisierung; Mustererkennung; Grafische Darstellung; Daten; Geometrie; Collegestudent; Statistische Analyse; Elementare Geometrie; Regression; Regressionsanalyse
Abstract	Humans possess a remarkable ability to recognise both simple patterns such as shapes and handwriting and very complex patterns such as faces and landscapes. To investigate one small aspect of human pattern recognition, in this study participants position lines of "best fit" to two-dimensional scatter plots of data. The study investigates the variation in participants' fits and whether there is some consistent metric being used in fitting the lines. For example, is there a natural tendency toward fitting lines similarly to one of the standard regression lines: vertical, horizontal, or orthogonal. This study also investigates the effect of outliers on the line a participant fits to a scatter plot with a strong linear trend and provides guidance for future inquiries. Finally, this investigation considers some practical aspects for classroom teachers. (As Provided).
Anmerkungen	Centre for Innovation in Mathematics Teaching. 5th Floor Rolle Building, Faculty of Education University of Plymouth, Drake Circus, Plymouth, PL4 8AA, UK. Tel: +44-1752-585346; Fax: +44-1752-585344; e-mail: feedback@cimt.org.uk; Web site: http://www.cimt.org.uk/ijmtl/index.php/IJMTL/about
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01