中英释义:
1. 相互关系,关联
2. 相关量
3. 相关性
英文单词:correlation
英美发音:ˌkɔːrəˈleɪʃ(ə)n
双语例句:
1. The study aims to explore the correlation between sleep quality and academic performance. (睡眠质量和学业表现之间的相关性)
2. There is a strong correlation between smoking and lung cancer. (吸烟和肺癌之间有很强的相关性)
3. The research found a positive correlation between exercise and mental health. (研究发现运动和心理健康之间存在正相关)
重点词汇:
1. Association - 关联、联想
2. Interdependence - 相互依赖
3. Cause - 原因、起因
相关词义、句子、近义及反义等其他完整的词典解释:
correlation (n.) - the relationship between two or more things, especially when one thing affects the other or they are connected in some way.
Correlation refers to the statistical measure of how two variables are related to each other. It indicates the strength and direction of the relationship between variables.
In statistics, correlation is expressed as a correlation coefficient, which ranges from -1 to +1. A positive coefficient indicates a positive relationship, meaning that as one variable increases, the other variable also tends to increase. Conversely, a negative coefficient indicates a negative relationship, where as one variable increases, the other variable tends to decrease.
Correlation does not imply causation, meaning that just because two variables are correlated does not necessarily mean that one causes the other. It only shows that there is a relationship between them.
For example, there may be a strong correlation between ice cream sales and sunglasses sales, as both tend to increase during the summer months. However, this does not mean that buying sunglasses causes people to buy more ice cream or vice versa. It simply shows that there is a connection between the two variables.
In scientific research, correlation analysis is often used to examine the relationship between different factors and to determine if there is a significant association between them. This can help researchers understand patterns and make predictions based on the observed correlations.
In conclusion, correlation refers to the relationship or connection between two or more things. It is a statistical measure used to determine the strength and direction of this relationship. However, it is important to note that correlation does not imply causation and further investigation is needed to establish any causal relationships.
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