| Issue |
E3S Web Conf.
Volume 218, 2020
2020 International Symposium on Energy, Environmental Science and Engineering (ISEESE 2020)
|
|
|---|---|---|
| Article Number | 01051 | |
| Number of page(s) | 4 | |
| Section | Research on Energy Technology Application and Consumption Structure | |
| DOI | https://doi.org/10.1051/e3sconf/202021801051 | |
| Published online | 11 December 2020 | |
HAPPINESS SCORE IDENTIFICATION: A REGRESSION APPROACH
1
The Barstow School, Kansas City 64114, US
2
Hpokinton High School, Hopkinton 01748, US
3
Department of ECE, Virginia Tech, Blacksburg 24060, US
4
Changzhou No.2 Middle School, Changzhou 213003, China
Email of all the authors: ajaxyichen@gmail.com, ajax.ma@barstowschool.org, andrewliu026@gmail.com, Guzh1MuXing@gmail.com, SYC9108@163.com
Happiness plays an important role in human emotion and one’s growth. In this paper, we use the data from the World Happiness Report, Countries of the World, and Countries Dataset 2020 to discern the relationship the happiness score has with the economy, family, health, freedom, trust, perception of corruption, generosity, and residual. In our research, we used the regression approach to find the most important factors that affect the happiness score in the past five years. Since we observed a positive and moderate relationship between the residual and happiness score, we then looked for other factors that contribute to the residual, the unexplained factor. Finally, we verified the main factors to the happiness score.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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