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The Efficacy of Statistics in All Major Fields of Research: A Focus on Regression Analysis
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作者 Joseph Ozigis Akomodi 《Open Journal of Statistics》 2025年第1期53-72,共20页
The abstract provided offers a succinct overview of the research paper’s focus on the significance of statistics, specifically regression analysis, across diverse fields. The emphasis on regression analysis indicates... The abstract provided offers a succinct overview of the research paper’s focus on the significance of statistics, specifically regression analysis, across diverse fields. The emphasis on regression analysis indicates its importance as a statistical method that helps researchers understand relationships between variables and make predictions based on data. The inclusion of multiple disciplines, such as health sciences, social sciences, environmental studies, economics, engineering, clinical psychology, social psychology, developmental psychology, cognitive psychology, and education highlights the interdisciplinary relevance of regression analysis. This breadth suggests that the findings and methodologies discussed in the paper may have wide applications, benefiting various sectors by enhancing the quality of research outcomes. The mention of “methodologies and data analysis techniques” indicates that the paper will likely delve into specific statistical approaches, offering a comprehensive examination of how regression analysis is applied in real-world scenarios. This nuance is essential, as it demonstrates the research’s commitment to not only presenting theoretical insights but also practical applications. Furthermore, the abstract states that regression analysis “enhances the validity of findings” and “informs data-driven decision-making.” This assertion underlines the critical role that robust statistical methods play in ensuring that research conclusions are reliable and applicable. The ability of regression analysis to provide clarity and support informed decisions makes it a valuable tool in both academic and professional settings. The abstract effectively outlines the paper’s exploration of regression analysis in various fields, underscoring its importance in enhancing research validity and facilitating informed decision-making. The interdisciplinary nature of the research broadens its appeal and emphasizes the need for rigorous statistical approaches in addressing complex issues across different domains. 展开更多
关键词 Statistics through the Less of regression analysis in All Fields of Study
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A Research of China Stock Market by Capital-Asset Pricing Model
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作者 ZHAN Yuanrui LU Lining Management Institute Tianjin University, Tianjin 300400 《Systems Science and Systems Engineering》 CSCD 1997年第3期51-55,共5页
Capital Asset Pricing Model (CAPM) is an important investment portfolio model,which is developmented from Markowitz’s investment portfolio theory. This paper initially verifies CAPM by means of the statistical regre... Capital Asset Pricing Model (CAPM) is an important investment portfolio model,which is developmented from Markowitz’s investment portfolio theory. This paper initially verifies CAPM by means of the statistical regression analysis on the data in Shanghai stock exchange, including 164 kinds of going public stocks, from September 1992 to October 1994. The paper analyzes the current situation of China stock exchange and suggests how to develop its trade. 展开更多
关键词 Capital Asset Pricing Model(CAPM) stock market the statistical regression analysis.
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