How is the mean squared error (MSE) calculated in the context of linear regression?
Sum of squared residuals divided by the number of observations
Sum of residuals divided by the number of observations
Sum of squared residuals multiplied by the number of observations
Sum of residuals multiplied by the number of observations
This question is part of this quiz :
Python Linear Regression Quiz