Title: Teaching multiple regression in elementary statistics

Authors: Vivek P. Shah; Frank G. Landram; Suzanne V. Landram; Francis A. Méndez Mediavilla

Addresses: Department of Computer Information Systems and Quantitative Methods, Texas State University-San Marcos, 601 University Dr., San Marcos, TX 78666, USA. ' Department of Computer Information Systems, West Texas A&M University, P.O. Box 399, Canyon, TX 79016, USA. ' University of Northern Colorado, 501 20 St., Greeley, Colorado, 80639, USA. ' Department of Computer Information Systems and Quantitative Methods, Texas State University-San Marcos, 601 University Dr., San Marcos, TX 78666, USA

Abstract: This is a starting point for those instructors who desire to enhance their teaching of elementary business statistics. The course must cover the fundamentals and there is not always time to discuss applications effectively. The discussion of applications is essential for the business student to be able to realise the relevance of statistical methods in decision-making. Therefore, the course is reorganised in order to exploit the dependence among topics. A modified outline for the business statistics course and a rationale are presented. Some of the benefits derived from the modified outline and feedback obtained from students and faculty are discussed.

Keywords: statistics education; teaching; multiple regression; elementary statistics; MS Excel Analysis ToolPak; conceptual understanding; spreadsheets; Microsoft; instructors; business statistics; business students; statistical methods; decision-making; course modification; student feedback; faculty feedback; software applications; undergraduates; higher education; universities; USA; United States; innovation; learning.

DOI: 10.1504/IJIL.2012.044326

International Journal of Innovation and Learning, 2012 Vol.11 No.1, pp.1 - 11

Published online: 08 Dec 2011 *

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