
correlation coefficients
“correlation coefficients”是一个名词短语,通常用于统计学中,指的是用来衡量两个变量之间线性关系的数字。这个术语没有形容词形式,但可以与不同的形容词搭配使用以描述特定类型的相关性系数。以下是对该词的详细分析:
词语辨析
在统计学中,最常见的相关性系数是**皮尔逊相关系数**(Pearson correlation coefficient)和**斯皮尔曼等级相关系数**(Spearman rank correlation coefficient),它们各自适用于不同的数据类型和分布方式。
词汇扩充
- Pearson correlation coefficient - 皮尔逊相关系数
- Spearman rank correlation coefficient - 斯皮尔曼等级相关系数
- Kendall's tau - 肯德尔tau系数
近义词
- correlation - 相关性
- association - 关联
反义词
- independence - 独立性
- disassociation - 断裂
用法
在进行数据分析时,相关性系数可以帮助研究人员理解变量之间的关系强度和方向。
例句
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The correlation coefficient helps in determining the strength of the relationship between two variables.
相关性系数有助于确定两个变量之间关系的强度。
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A high correlation coefficient indicates a strong relationship between the variables.
高相关性系数表明变量之间存在强关系。
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Researchers often use the Pearson correlation coefficient for normally distributed data.
研究人员通常对正态分布数据使用皮尔逊相关系数。
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The Spearman rank correlation coefficient is useful for ordinal data.
斯皮尔曼等级相关系数对于序数数据很有用。
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A negative correlation coefficient suggests that as one variable increases, the other decreases.
负相关性系数表明一个变量增加时,另一个变量减少。
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It is important to check the correlation coefficients before proceeding with regression analysis.
在进行回归分析之前,检查相关性系数是很重要的。
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In this study, we found a significant correlation coefficient between age and income.
在这项研究中,我们发现年龄与收入之间存在显著的相关性系数。
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The correlation coefficients were calculated using statistical software.
相关性系数是通过统计软件计算得出的。
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Understanding the correlation coefficients can provide insights into the data structure.
理解相关性系数可以为数据结构提供见解。
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Outliers can significantly affect the correlation coefficient.
异常值会显著影响相关性系数。
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The correlation coefficient ranges from -1 to 1.
相关性系数的范围是从 -1 到 1。
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Two variables with a correlation coefficient near 0 are considered independent.
相关性系数接近0的两个变量被认为是独立的。
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The correlation coefficient can indicate both strength and direction of a relationship.
相关性系数可以指示关系的强度和方向。
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In economics, a positive correlation coefficient may suggest a relationship between spending and income.
在经济学中,正相关性系数可能表明支出与收入之间的关系。
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The analysis revealed a strong correlation coefficient between education level and employment status.
分析揭示了教育水平与就业状况之间的强相关性系数。
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The correlation coefficients were visualized using scatter plots.
相关性系数通过散点图进行了可视化。
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We need to report the correlation coefficients in our findings.
我们需要在研究结果中报告相关性系数。
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The correlation coefficient is crucial for validating research hypotheses.
相关性系数对于验证研究假设至关重要。
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Statisticians recommend reporting both the correlation coefficient and the p-value.
统计学家建议同时报告相关性系数和p值。