What is the difference between Residual Standard Error(RSE) and Mean Squared Error (MSE) that is calculated in Linear Regression


I understand that both the quantities measures how good the regression line fits the data by minimizing the difference between the predicted and actual quantitative response. But if MSE can alone do that work, why do we need another statistic to measure the same… ??

Adarsh Namdev

@adarsh.namdev , I believe this thread will help you give a clearer picture.

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