Indian Sugar Industry: Production Estimator - Kalra, Gaurav
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The major objective of this research was to gain maximum experience & exposure of the industry. To learn the overall working style of an Industry & to help establishing a relation between factors of production with the production of the country & hence trying to forecast production for the years to come. The second phase of the project deals with determining a best fit model that can predict sugar production figures in the country for the years to come, using a statistical package called SPSS, implying regression tools, to find out the relevance, coefficients of each independent factor active in determining the domestic production figures.…mehr

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Produktbeschreibung
The major objective of this research was to gain maximum experience & exposure of the industry. To learn the overall working style of an Industry & to help establishing a relation between factors of production with the production of the country & hence trying to forecast production for the years to come. The second phase of the project deals with determining a best fit model that can predict sugar production figures in the country for the years to come, using a statistical package called SPSS, implying regression tools, to find out the relevance, coefficients of each independent factor active in determining the domestic production figures.
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Autorenporträt
Gaurav Kalra is an esteemed third year student of Bachelors of Business Economics(BBE) in Delhi University, India, He wrote this paper during the term of his second year in college. He also worked with few Sugar Manufacturing Concerns in India as an intern in their International Trade Dept. Also, he has done Commodity Certification from NCDEX,India