bivariate
发音：英 [?ba???va??r??] 美 [?ba???va??r??]
基础释义：二元的；双变量的；涉及两个变量的
英语范文：Bivariate Analysis of Economic Indicators
Bivariate analysis is a statistical method that examines the relationship between two variables. It is commonly used in economics and other fields of research. In this article, we will explore the basic concepts and methods of bivariate analysis, and apply it to analyze some economic indicators.
在经济学和其他研究领域中，二元分析是一种统计方法，用于研究两个变量之间的关系。本文将探讨二元分析的基本概念和方法，并应用于分析一些经济指标。
Bivariate analysis can help us better understand the relationship between two variables, and make more accurate predictions and forecasts. It is an essential tool for data analysts and researchers in many fields.
Bivariate基础释义
Bivariate是一个数学术语，表示两个变量之间的相互关系。它通常用于统计学和数据分析中，用于描述两个变量之间的关系和相互作用。
发音：英 [?ba???va??r?t]
英语范文：
标题：Bivariate Analysis: The Key to Understanding Complex Relationships
在现代科学和数据分析中，bivariate分析已经成为理解复杂关系的关键工具。它帮助我们理解两个变量之间的相互作用，以及它们如何影响整体系统。
让我们以气候变化为例。气温和降雨量是两个重要的变量，它们共同塑造了我们的生态系统。通过bivariate分析，我们可以研究这两个变量之间的关系，了解它们如何相互影响，以及它们如何影响生态系统的稳定性和生产力。
通过bivariate分析，我们还可以发现隐藏在数据中的模式和趋势。例如，如果我们研究人口增长和资源消耗之间的关系，我们可以发现随着人口的增长，资源消耗也在增加。这可能预示着资源压力的增加和社会问题的出现。
因此，bivariate分析是一种强大的工具，可以帮助我们更好地理解世界，预测未来，并制定更有效的政策。掌握这一工具，我们可以更好地管理资源，保护环境，并确保社会的可持续发展。
bivariate
In a bivariate analysis, two variables are studied together to see how they are related to each other. This type of analysis is commonly used in social science and medical research.
For example, we can examine the relationship between income and education in a country to see how these two variables are related to each other. Another example might be examining the relationship between smoking and lung cancer in a population to see if there is a correlation between the two.
If you are conducting a bivariate analysis, it is important to remember that the results may be influenced by other factors that are not included in the analysis. Therefore, it is always necessary to consider other potential explanations for the observed relationships.
Here's an example of a bivariate analysis in English:
"The relationship between income and education in our country is bivariate. This means that we are studying both variables together to see how they are related to each other. We hope to gain a better understanding of the factors that influence people's choices and outcomes."
In this example, we are studying the relationship between income and education because we want to understand how these two factors influence people's choices and outcomes in society. We hope that by examining this relationship, we can develop better policies and programs that will help people achieve their goals and improve their lives.
