Using Regression to Measure Variable Links

Correlation and regression are used to study the relationship between two variables. Correlation shows how strongly the variables are associated. Regression helps describe that relationship with a line that can be used for prediction.

In linear regression, the relationship is written as a correla...

回归与相关性是用于分析两个变量之间关系的统计方法。 

虽然回归用于理解一个变量因另一个变量变化而发生的变化，但相关性则用于衡量两个变量之间线性相关的强度和方向。 

线性回归通过将一条直线拟合到数据点来建立两个变量之间的关系。该直线的方程可根据一个已知变量可靠地预测另一个未知变量的值。 

线性相关性通过皮尔逊相关系数“r”来表示，其取值范围为−1到+1。当该值接近−1或+1时，表明变量之间存在强相关性；而当该值为零时，则表示无相关性。