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Statistical Analysis of Consumer Price Indices
in Malaysia by Multiple Regression Model
Nurul Ashikin Binti Khair-Al-Anwar
Supervisor: Dr. Syerrina Binti Zakaria
Bachelor of Science (Financial Mathematics)
School of Informatics and Applied Mathematics
This study focuses on analysis of on the Consumer Price Index (CPI) in Malaysia where
used to measure inflation rate of the country. The CPI is measured by comparing the
average price of goods and services in the base year with the average price of goods in
the current year. The data series used in this study is 36 years from 1981 to 2017. In this
study, correlation analysis and multiple regression methods are used to identify the main
factors that influenced of CPI. The results of the analysis show that food, beverages and
tobacco as well as transportation describe a significant impact on the CPI in Malaysia.
This study found that the coefficient value obtained by R 2 = 1.000 where this value of
100% for models is proven to be the best model in determining the CPI forecasting for
future economic development of the country.
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875 | UMT UNDERGRADUATE RESEARCH DAY 2018