In a simple linear regression, what is the meaning of the residual ei=Yi−Y^ie_i = Y_i - \hat{Y}_iei=Yi−Y^i?
The difference between the predicted value and the sample mean.
The vertical distance between the actual data point and the regression line.
The horizontal distance between the data point and the mean of X.
The error in the population parameter β1\beta_1β1.