correlates

简明释义

英[ˈkɒrəleɪts]美[ˈkɔr.ə.leɪts]

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英英释义

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例句

1.In a crisis everything correlates.

在危机中每件事都互有联系。

2.That correlates nicely with the fact that among the Amish, men and women are equally long lived.

这与安曼教派居民的男人和女人有相同的寿命这一事实十分吻合。

3.The dashboard can highlight what work needs to be run on your DB2 server and how this correlates to your business commitments.

指示板可以突出显示需要在DB 2服务器上运行的工作以及它们与业务需求的关系。

4.They have realized that their success directly correlates to theskills and talents of their management teams.

他们也意识到这些管理人员的成功与其管理团队的管理技巧与才能之间的相互作用。

5.Additionally, the length of dream reports correlates well with time elapsed in REM dreams.

此外，快速眼部活动（REM）睡眠中的时间流逝也和梦的长度高度吻合。

6."In general," they reported, "the ability of the compounds to compete at the receptors correlates with their ability to stimulate locomotion in the mouse."

“总的来说，”他们报告称，“化合物在受体上的竞争能力与它们刺激老鼠运动的能力有关。”

7.Obesity correlates with increased risk for hypertension and stroke.

过度肥胖与高血压和中风的发病风险增加密切相关。

8.Crop yield correlates closely with annual rainfall.

农作物的收成与年降雨量有密切关系。

9.The data correlates strongly with previous findings.

这些数据与之前的发现高度相关。

10.Research shows that exercise correlates with improved mental health.

研究表明，锻炼与改善心理健康相关。

11.The study found that there correlates between sleep quality and academic performance.

研究发现，睡眠质量与学业表现之间有相关性。

12.In economics, inflation correlates with unemployment rates.

在经济学中，通货膨胀与失业率之间相关。

13.Her happiness correlates with the amount of time she spends outdoors.

她的快乐与她在户外花费的时间相关。

作文

In the field of psychology, researchers often explore how different variables interact with one another. One important concept that frequently arises in these studies is the idea of correlation. When we say that two variables correlates, we mean that there is a relationship between them; as one variable changes, the other tends to change as well. For instance, studies have shown that there is a positive correlation between physical exercise and mental health. This means that individuals who engage in regular physical activity often report better mental well-being compared to those who do not. Understanding these correlates can help psychologists develop more effective treatment plans for their patients.Moreover, the concept of correlation is not limited to psychology. In economics, researchers examine how various factors, such as income level and education attainment, correlates with each other. For example, it has been observed that higher levels of education often lead to increased income potential. This correlation suggests that investing in education can be a key strategy for improving one’s financial situation. By analyzing these correlates, policymakers can make informed decisions about where to allocate resources and how to support community development.In the realm of public health, understanding the correlates of disease prevalence is crucial for creating effective prevention strategies. For instance, researchers may find that there is a strong correlation between smoking rates and lung cancer incidence. This correlation underscores the importance of anti-smoking campaigns and regulations to reduce tobacco use in the population. By recognizing the correlates of health behaviors and outcomes, public health officials can implement targeted interventions that address the root causes of health issues.However, it is important to note that correlation does not imply causation. Just because two variables correlates does not mean that one causes the other. For instance, while there may be a correlation between ice cream sales and drowning incidents, this does not mean that buying ice cream causes drowning. Instead, both variables might be influenced by a third factor, such as warm weather. Therefore, researchers must be cautious when interpreting correlations and should seek to uncover the underlying mechanisms that drive these relationships.In conclusion, the concept of correlation is fundamental across various disciplines, from psychology to economics and public health. Understanding how different variables correlates allows researchers and practitioners to draw meaningful conclusions and make informed decisions. However, it is critical to approach correlations with a discerning eye, recognizing that they do not always indicate direct cause-and-effect relationships. As we continue to study and analyze the complexities of human behavior and societal trends, the exploration of correlates will remain an essential aspect of our understanding.

在心理学领域，研究人员经常探索不同变量之间的相互作用。一个在这些研究中经常出现的重要概念是相关性的概念。当我们说两个变量相关时，我们的意思是它们之间存在一种关系；当一个变量发生变化时，另一个变量往往也会随之变化。例如，研究表明，身体锻炼与心理健康之间存在正相关。这意味着，进行定期体育活动的个体通常报告比那些不锻炼的人更好的心理健康。理解这些相关性可以帮助心理学家为他们的患者制定更有效的治疗计划。此外，相关性的概念并不仅限于心理学。在经济学中，研究人员考察各种因素，例如收入水平和教育程度之间是如何相关的。例如，已观察到较高的教育水平往往会导致更高的收入潜力。这种相关性表明，投资教育可以是改善个人财务状况的关键策略。通过分析这些相关性，政策制定者可以就如何分配资源和支持社区发展做出明智的决定。在公共卫生领域，理解疾病流行的相关性对创建有效的预防策略至关重要。例如，研究人员可能发现吸烟率与肺癌发病率之间存在强相关性。这种相关性强调了反吸烟运动和减少人口中烟草使用的重要性。通过认识健康行为和结果的相关性，公共卫生官员可以实施针对根本原因的干预措施，以解决健康问题。然而，需要注意的是，相关性并不意味着因果关系。仅仅因为两个变量相关并不意味着一个导致了另一个。例如，虽然冰淇淋销售与溺水事件之间可能存在相关性，但这并不意味着购买冰淇淋会导致溺水。相反，这两个变量可能受到第三个因素的影响，例如温暖的天气。因此，研究人员在解释相关性时必须谨慎，并应寻求揭示驱动这些关系的潜在机制。总之，相关性的概念在各个学科中都是基础，从心理学到经济学和公共卫生。理解不同变量如何相关使研究人员和从业者能够得出有意义的结论并做出明智的决策。然而，批判性地看待相关性至关重要，认识到它们并不总是指示直接的因果关系。随着我们继续研究和分析人类行为和社会趋势的复杂性，探索相关性将始终是我们理解的一个重要方面。