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Erschienen in:
2021 | OriginalPaper | Buchkapitel
Examining the Relationship Between Foreigners in China Food Delicacies Using Multiple Linear Regression Analysis (sklean)
verfasst von : Ernest Asimeng, Shunxiang Zhang, Asare Esther, Mengyao Li
Erschienen in: Big Data Analytics for Cyber-Physical System in Smart City
Verlag: 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.