What is meant by the term "least squares" in linear regression?
1 Answer
Apr 22, 2018
All this means is the minimum between the sum of the difference between the actual y value and the predicted y value.
Explanation:
Just means the minimum between the sum of all the resuidals
all this means is the minimum between the sum of the difference between the actual y value and the predicted y value.
This way by minimizing the error between the predicted and error you get the best fit for the regression line.