Title :
Regression Model in Selecting Network Information Technology Companies and Analyzing their Business Development Trends
Author :
Luo, Hua ; Lu, Fengying ; Lu, Qiuying
Author_Institution :
Coll. of Sci., Zhejiang Sci- Tech Univ., Hangzhou, China
Abstract :
Regression model is built to select the promising companies and track their business development. With the help of the multiple linear regression models and the factor analysis, it is concluded that the value of the promising companies is positively correlative to their net asset per share, net profit and their management size. Besides, their business development trend is analyzed, which is helpful for further research on the Network IT.
Keywords :
DP industry; business data processing; organisational aspects; regression analysis; business development trends; factor analysis; multiple linear regression models; network information technology companies; Companies; Indexes; Industries; Information technology; Radiofrequency identification; Software; business development trend; method of factor analysis; network information technology; regression models;
Conference_Titel :
Networking and Distributed Computing (ICNDC), 2010 First International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-8382-2
DOI :
10.1109/ICNDC.2010.25
