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====Pearson相关====
**1.用途**
  * 测量两个变量间线性相关的程度和方向（一般用于等距和等比数据）

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**2.定义式**
  * 也称为积差相关（product-moment correlation）
  * {{:r.png?250 |}}
  * 
  * {{:r公式.png?120 |}}

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**3.计算SP（与SS作比较）**
  * {{:ss与sp公式.png?500 |}}

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**4.Pearson相关的解释**
  - 相关≠因果关系
  - 数据中的分数范围对相关有非常大的影响
  - 非常值会对相关系数产生非常大的影响
  - 解释关系强度应考虑 r²,不只是 r
  * r＞0.7高度相关；
  * 0.5＜r＜0.7中度相关；
  * r＞0.3的相关才具有统计意义

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====Pearson correlation analysis====
**1.Purpose**
  * Measure the degree and direction of linear correlation between two variables (generally used for isometric and proportional data)

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**2.Definition formula**
  * also known as product moment correlation
  * {{:r.png?250 |}}
  * 
  * {{:r公式.png?120 |}}


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**3.Calculating SP ( compared with SS)**
  * {{:ss与sp公式.png?500 |}}

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**4.Interpretation of Pearson's correlation**
  - correlation≠causal relationship
  - The range of scores in the data has a very large impact on the correlation.
  - Extraordinary values can have a very large effect on the correlation coefficient
  - Interpretation of the strength of the relationship should take into account r², not just r.
  * r＞0.7 is highly correlated；
  * 0.5＜r＜0.7 is moderately correlated；
  * The correlation is only statistically significant for r > 0.3.