Stepwise Regression Analysis of Factors Related to Total CPI Based on MATLAB

Abstract:

According to the datas of CPI in different areas of Chinese mainland in the years of 2001 to 2012, eight factors had been selected, namely, food, alcohol, tobacco and supplies, clothing, household appliances and maintenance services, medical care and personal products, transportation and communications, entertainment, education, culture, service and living that consist of CPI to conduct stepwise regression analysis by the software of MATLAB. And the main effect factors were selected. Results suggested that the factors of food, clothing, household appliances and maintenance services, medical care and personal products, entertainment, education, culture, service and living had a strong impact on the CPI, alcoholic, tobacco and supplies could be eliminated, which illustrated the consumption trend of Chinese residents in the past 12 years.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 2295-2298
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.2295
• Online since: September 2014
• Authors: Lin Na Ma, Xue Ying Chen, Li Zhang, Yan Hong Huang Fu*
• Keywords: CPI, MATLAB, Stepwise Regression Analysis

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