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5. Investigating Association of Population with Literacy Rate and Sex Ratio in India using Regression Technique

Author

Harshita Srivastava, Preeti Agarwal, and Shuchi Mala

Subjects
education.field_of_study, Computer science, Literacy rate, Population, 020207 software engineering, 02 engineering and technology, Python (programming language), Regression, symbols.namesake, 020204 information systems, Statistics, 0202 electrical engineering, electronic engineering, information engineering, symbols, Poisson regression, education, computer, Sex ratio, computer.programming_language
Abstract

As the population is increasing at the massive rate, there should be some method to control it. In this paper, we study how literacy rate and sex ratio can help control our population using regression tools in Python. The datasets used in this paper are: Sex Ratio, Literacy Rate and Decadal Growth Rate. The labeled dataset was published in "Government Authenticated Handbook published by RBI(2016-2017)".It is achieved using Python in two halves: first, using visualization techniques to study changes in three components in past 6 decades and second, using Poisson regression to identify the relationship between them.

Published
2019
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