id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
absel-668	Palia, Aspy p.	Online Sales Forecasting with the Multiple Regression Analysis Data Matrices Package	2014	3	.pdf	application/pdf	2937	117	34	ONLINE SALES FORECASTING WITH THE MULTIPLE REGRESSION ANALYSIS DATA MATRICES PACKAGE Developments in Business Simulation and Experiential Learning, Volume 31, 2004 ONLINE SALES FORECASTING WITH THE MULTIPLE REGRESSION ANALYSIS DATA MATRICES PACKAGE Aspy Palia University of Hawaii at Manoa aspy@cba.hawaii.edu SALES FORECASTING ABSTRACT The Web-based Multiple Regression Analysis Data Matrices Package (developed jointly with Justin Yost) enables competing participant teams in the marketing simulation COMPETE to apply their knowledge of multiple regression analysis in sales forecasting. These techniques include trend extension, the factor method (using one or more factors such as the Buying Power Index, and the SIC code to forecast the sales of industrial products), time series analysis, the use of leading series, and indices such as the consumer price index, producer price index, and the index of leading economic indicators (McCarthy and 180 mailto:aspy@cba.hawaii.edu Developments in Business Simulation and Experiential Learning, Volume 31, 2004 Perreault 1987).	cache/absel-668.pdf	txt/absel-668.txt