Course:VANT149/2024/Capstone/Science/Team6

Abstract

Fertility is a key quantitative indicator of a country, intricately intertwined with population dynamics and economic trajectories. The aim of this study is to discuss the multifaceted determinants of fertility in Canada by integrating data on the average maternal age, the average number of births, and the educational attainment of childbearing individuals of different ages. In the data processing part of this paper, multiple linear regression model and logic model are used to weight the data to reflect the influence degree of each factor. At the same time, time series analysis is established for the weighted data, so as to preliminarily predict the future fertility rate. Further elaboration of the analytical methods and the complexity of the model will be provided in subsequent methods sections.

Biographies

Jingyi Hu

Jingyi Hu is a student in the Vantage program at UBC. Her primary areas of interest are computer science and software engineering. This year, she joined the game development club and is responsible for scripting the behavior of game characters and game she is currently involved in is still under development. Additionally, she is an intern in software engineering development. Jingyi hopes to enrich her practical experience and better apply theoretical knowledge to real-world situations.

Yuhan Bao

Yuhan Bao is an undergraduate student in the Faculty of Science at the University of British Columbia. She has won the school-level championship in the Canadian Senior Mathematics Contest and ranked in the top 25% in the Euclid Mathematics Competition. She is interested in exploring both mathematics and medicine and hopes to combine them to drive innovation in medicine discovery and improve health care.

Shuo Xu

Shuo Xu is a first-year science student at the University of British Columbia, with a strong proficiency and passion for statistics and computer science. Shuo aims to explore people's economic behavior based on the study of databases and AI algorithms. Dedicated to achieving academic excellence, Shuo aims to contribute to some breakthroughs in the field of Statistics and computer science, such as creating some more efficient algorithms to better help scientists solve problems in different academic fields. In addition, Shuo is involved in some computer science competitions to improve the understanding of the relationship between economy and people’s behavior.