Question

How are errors calculated in linear regression?

Answer 1

Answer:

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Answer 2

Explanation:

Linear regression most often uses mean-square error (MSE) to calculate the error of the model. MSE is calculated by: measuring the distance of the observed y-values from the predicted y-values at each value of x; ... calculating the mean of each of the squared distances.