Answer:
Correlation
Explanation:
The Simple linear regression model, also called as 'Classical Linear Regression Model' requires that X-Y data has a linear relationship.
Preliminary correlation analysis can be used to determine if data have this type of relationship. As Correlation is used to study positive or negative linear relationship between two variables.
However, difference is that Regression establishes cause effect relationship, correlation signifies just mutual correlation.