Statistical Analysis on Impact of Economic, Social and Environmental Variables on Automotive Industry Using Linear Regression

  Shamash Abdul Majeed Shaikh,  Dr. H. P. Khairnar

Automotive sector is considered as one of major industry in any country and plays significant role in its growth. Competitiveness of this industry has recently gained exceptional importance in this globalized era and depends upon internal and external factors. India's automobile industry is likely to contribute 12 per cent to the country's GDP over the coming decade, from 7.1 per cent at present. The size of the automotive sector is so huge that it shows dependency on various macro variables from other aspects like Economic conditions, Social variability and Environmental problems. Changes in the aforementioned fields corresponds to a change in the automotive industry. This study quantifies the dependency and impact of various Economic, Social and Environmental factors on automotive vehicle sale across India by using Linear Regression model. This research covers the time period from 2000 to 2016 for all the parameters involved. The results are in accordance with the other researcher’s findings and common consensus.

Keywords- GDP, FDI, Vehicle Sales, Linear Regression, Inflation, Tariff

Unique Identification Number - IJEDR1803025
Page Number(s) - 136-143
Pubished in - Volume 6 | Issue 3 | July 2018
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Shamash Abdul Majeed Shaikh,  Dr. H. P. Khairnar,   "Statistical Analysis on Impact of Economic, Social and Environmental Variables on Automotive Industry Using Linear Regression", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 3, pp.136-143, July 2018, Available at :http://www.ijedr.org/papers/IJEDR1803025.pdf