Question: what is the difference between correlation coefficient and linear regression?
Answer: Regression describes how an independent variable is numerically related to the dependent variable. Correlation is used to represent the linear relationship between two variables. On the contrary, regression is used to fit the best line and estimate one variable on the basis of another variable.