1. 相关性
相关性被称为分析，它让我们知道两个变量“x”和“y”之间的关联或不存在关系。
2. 回归：
回归分析用于根据自变量的已知值预测因变量的值，假设两个或多个变量之间存在平均数学关系。
相关性和回归之间的区别：
| S.No. | Correlation | Regression |
|---|---|---|
| 1. | Correlation describes as a statistical measure that determines the association or co-relationship between two variables. |
Regression depicts how an independent variable serves to be numerically related to any dependent variable. |
| 2. | Its coefficients may range from -1.00 to +1.00. |
Its coefficients may range from byx > 1 to bxy < 1. |
| 3. | There is no difference between the two. Both variables are mutually dependent. |
Both variables serve to be different, One variable is independent, while the other is dependent. |
| 4. | To find the numerical value that defines and shows the relationship between variables. |
To estimate the values of random variables based on the values shown by fixed variables. |
| 5. | Its coefficient serves to be independent of any change of Scale or shift in Origin. |
Its coefficient shows dependency on the change of Scale but is independent of its shift in Origin. |
| 6. | Its coefficient is mutual and symmetrical. | Its coefficient fails to be symmetrical. |
| 7. | Its correlation serves to be a relative measure. | Its coefficient is generally an absolute figure. |
| 8. | In this, both variables x and y are random variables. | In this, x is a random variable while y is a fixed variable. At times, both variables may be like random variables. |