Ordinary least squares, a method used in regression analysis for estimating linear models
Ordinary least squares can be used to simplify calculations as often the data does not have strong non-linearities.
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Homoscedasticity, one of the basic Gauss–Markov assumptions of ordinary least squares linear regression modeling, refers to equal variance in the random error terms regardless of the trial or observation, such that