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您现在的位置: > 公共英语 > correlate

correlate

correlate的音标为[ˈkɒrɪleɪt] ,基本翻译为“相关的人或物;相关联的人或事物”,速记技巧为:相关联的人或事物-correlate,相关联的单词有“association”、“connection”、“relationship”等。

"correlate"这个词源于拉丁语"correlatus",意为"相关联的"。它的变化形式包括过去式"correlated",过去分词"correlated",现在分词"correlating",以及形容词"correlated"。

相关单词:

1. correlation(相关,关联):这个词由两个词根组成,分别是"correlate"和"ation",表示关联或相关的状态。

2. correlate(相关联):这个词是由"correlate"和"ate"组成的动词形式,表示使两个事物相关联或关联起来。

3. correlational(相关的):这个词是"correlation"的形容词形式,常用于学术论文中描述研究对象的性质。

4. correlationism(关联主义):这个词通常用于描述某种哲学或理论,强调事物之间的关联性而非独立性。

5. correlativeness(相关性):这个词通常用于描述一个事物或现象与另一个事物或现象之间的关联程度。

以上这些单词都与"correlate"这个词密切相关,它们在不同的语境中表达了不同的含义和用法。

常用短语:

1. correlate with

2. be correlated with

3. correlate to

4. be correlated to

5. correlation analysis

6. correlation coefficient

7. correlation matrix

双语例句:

1. The prices of stocks and bonds are strongly correlated with the overall market trend. (股票和债券的价格与整体市场趋势密切相关。)

2. The two variables are significantly correlated, indicating that they tend to change together. (这两个变量之间存在显著相关性,表明它们倾向于同时变化。)

3. The correlation between exercise and good health is well-known, but it"s also important to eat a balanced diet. (锻炼与健康之间的相关性是众所周知的,但均衡饮食也同样重要。)

4. The data shows a strong correlation between increased spending and improved economic performance. (数据显示,增加开支与改善经济表现之间存在很强的相关性。)

5. The two teams" records are strongly correlated, indicating that one team"s success often leads to the other"s success. (两队的战绩存在很强的相关性,表明一个队的成功往往会导致另一个队的成功。)

6. The correlation between education and income is well-established, but it"s also important to recognize that education can lead to other benefits, such as better health outcomes and increased social mobility. (教育与收入之间的相关性是众所周知的,但同时也要认识到教育可以带来其他好处,如更好的健康状况和更高的社会流动性。)

7. The correlation between climate change and natural disasters is becoming increasingly apparent, and it"s important to take action to mitigate the effects of these disasters. (气候变化与自然灾害之间的相关性变得越来越明显,采取行动减轻这些灾害的影响是至关重要的。)

英文小作文:

Correlation and Causation: Understanding the Relationship between Two Variables

When studying the world around us, we often encounter situations where two or more variables seem to be related, but it"s not always clear whether one variable causes the other or if they are just correlated. Understanding the difference between correlation and causation is crucial for making informed decisions and developing effective strategies.

Correlation refers to the relationship between two variables where they tend to change together, but there"s no evidence that one variable directly affects the other. For example, if we measure the temperature and humidity in a given location over time, we might find that they are positively correlated, as higher temperatures often go along with higher humidity levels. However, we cannot conclude that one variable directly causes the other.

On the other hand, causation refers to a situation where one variable directly affects another. For instance, if we experimentally manipulate the amount of rainfall in a region, we can observe a direct relationship between the amount of rainfall and the growth of crops. In this case, we can conclude that rainfall directly causes crop growth.

The key takeaway is that correlation and causation are not the same thing. When dealing with multiple variables, it"s important to carefully assess their relationship and determine whether one variable directly affects another. Understanding this distinction is crucial for making informed decisions and developing effective strategies in a wide range of contexts.

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