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）

2.定义式

• 也称为积差相关（product-moment correlation）
• 
• 

3.计算SP（与SS作比较）

4.Pearson相关的解释

1. 相关≠因果关系
2. 数据中的分数范围对相关有非常大的影响
3. 非常值会对相关系数产生非常大的影响
4. 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

1.Purpose

• Measure the degree and direction of linear correlation between two variables (generally used for isometric and proportional data)

2.Definition formula

• also known as product moment correlation
• 
• 

3.Calculating SP ( compared with SS)

4.Interpretation of Pearson's correlation

1. correlation≠causal relationship
2. The range of scores in the data has a very large impact on the correlation.
3. Extraordinary values can have a very large effect on the correlation coefficient
4. 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.