Visual Expression of Factor Decomposition in Regression Analysis: An Example of Japanese Housing Rents

Autor/in	Fukuda, Kosei
Titel	Visual Expression of Factor Decomposition in Regression Analysis: An Example of Japanese Housing Rents
Quelle	In: Teaching Statistics: An International Journal for Teachers, 45 (2023) 2, S.100-105 (6 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Fukuda, Kosei)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0141-982X
DOI	10.1111/test.12333
Schlagwörter	Statistics Education; Regression (Statistics); Statistical Significance; Social Sciences; Undergraduate Students; Visual Aids; Housing; Foreign Countries; Mathematical Applications; Mathematical Concepts; Japan + Suchen Sie Ihr Suchwort? Regression; Regressionsanalyse; Social science; Sozialwissenschaften; Gesellschaftswissenschaften; Anschauungsmaterial; Unterkunft; Ausland; Angewandte Mathematik; Innermathematische Anwendung
Abstract	This paper presents the importance of the visual expression of factor decomposition in regression analysis, which is particularly worthwhile for undergraduate students whose majors are not mathematics but social science. The conventional purpose of regression analysis is to examine specific hypotheses empirically. In particular, the statistical significance of the explanatory variable was tested, which may have been difficult for many students to understand mathematically. To remedy this, factor decomposition is introduced in the same way that human body composition is broken down into water, fat, and muscle. As an illustrative example, multiple regression was applied to the determinants of housing rents in Japan. The explanatory variables were the living area, building age, and walking time from the nearest station. The findings suggest that, with the help of visual expression, a student can easily appreciate which variable significantly affects housing rents. (As Provided).
Anmerkungen	Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01