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2021 | OriginalPaper | Chapter

Examining the Relationship Between Foreigners in China Food Delicacies Using Multiple Linear Regression Analysis (sklean)

Authors : Ernest Asimeng, Shunxiang Zhang, Asare Esther, Mengyao Li

Published in: Big Data Analytics for Cyber-Physical System in Smart City

Publisher: Springer Singapore

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Abstract

The availability of some specific foods and the nutrients in foods have a great impact on everyone’s life. It goes to the extent of being among the determining factors of an individual’s long-term stay in a foreign country. In this paper, we examine the relationship between the long-term stay of foreigners in China and their food delicacies. For the analysis of data (data from administered questionnaires and interviews), a model was built using python with sklearn in multiple regression, with the coefficient, the intercept, and the adjusted r-square well examined. The research shows a correlation between foreigners living in China and their food delicacies, indicating that though foreigners consider the nutritional and health benefits of cuisine, the taste of the cuisine is prioritized, making their living conditions somewhat difficult when choosing a nutritious cuisine.

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Metadata
Title
Examining the Relationship Between Foreigners in China Food Delicacies Using Multiple Linear Regression Analysis (sklean)
Authors
Ernest Asimeng
Shunxiang Zhang
Asare Esther
Mengyao Li
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-33-4572-0_271

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