correlating

correlating的音标是[kəˈrelɪtɪŋ]，翻译成中文是“相互关联的；相互比较的”。基本翻译为“使相互关联；使相互比较”，速记技巧为“correlate v”。

"Correlating"这个词的英文词源可以追溯到拉丁语"correlatus"，意为“相关的，相匹配的”。它的变化形式包括过去式"correlated"和过去分词"correlated"。

相关单词：

1. "correlation"：这个词是由"correlate"衍生出来的，表示“相关联”，这个词在科学和统计学中经常使用。

2. "correlational"：这个词是由"correlated"派生出来的，表示“相关的”，常用于描述一种关系或趋势。

3. "recorrelation"：这个词表示重新关联或再关联，通常用于描述在数据分析和统计中重新计算相关性的过程。

4. "anticorrelation"：这个词表示反相关，即两个变量之间存在负相关关系。

5. "multivariate correlation"：这个词表示多元相关分析，用于分析多个变量之间的关系。

6. "partial correlation"：这个词表示部分相关，通常用于分析一个或多个变量对其他变量的影响。

7. "causal correlation"：这个词表示因果相关性，用于描述两个变量之间的因果关系。

8. "statistical correlation"：这个词表示统计相关性，通常用于描述两个变量之间的统计关系。

9. "coefficient of correlation"：这个词表示相关系数，用于量化两个变量之间的线性关系强度。

10. "correlation matrix"：这个词表示相关系数矩阵，用于表示一组数据中所有变量之间的相关性。

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 market rate of interest. (股票和债券的价格与市场利率密切相关。)

2. The two companies" stock prices are highly correlated, indicating that they are both influenced by the same market forces.

3. The correlation between exercise and good health is well-known, but it"s also important to eat a balanced diet.

4. The correlation between education and income is evident, but it doesn"t mean that everyone with a college degree earns a high salary.

5. The correlation between exercise and weight loss is well-documented, but it"s not guaranteed for everyone.

6. The two countries" economic growth rates are highly correlated, indicating that they are both influenced by the same global trends.

7. The correlation between exercise and improved mood is well-established, but it"s important to remember to take breaks from exercise to avoid overexertion.

英文小作文：

Correlation and Causation

Correlation is a fundamental concept in statistics that measures the relationship between two variables. When two variables are correlated, they tend to move in tandem, meaning that one variable will rise or fall as the other variable does. However, correlation does not necessarily imply causation, which means that just because two variables are correlated, it doesn"t mean that one variable causes the other variable to change.

For example, suppose we measure the temperature and humidity every hour for a week and notice that they are correlated, with both rising and falling together. This correlation could be due to the fact that both temperature and humidity are affected by the same weather patterns or atmospheric conditions. However, it doesn"t necessarily mean that one variable causes the other variable to change, so we can"t conclude that one variable directly affects the other.

In real-world applications, it"s important to distinguish between correlation and causation because it can have significant implications for how we approach problems and make decisions. For instance, if we think that increasing the amount of exercise will improve our health, we should look for evidence of causation before making that decision, as correlation doesn"t necessarily imply causation. Similarly, if we"re considering investing in a company, we should look for evidence of causation between its stock price and its financial performance before making a decision about investing in it.