what is model fitting what is sse mean for modeling what does the sum of squared errors (sse) serve as? when to minimize the sse what is the most likely error distribution of an arithmetic model? when is an error distribution a maximum likelihood estimator what is maximum likelihood in model fitting when error is normally distributed how does the sse function work when to minimize sse why is the sum of squared errors (sse) used to estimate the probability of a model fitting error? what is the maximum likelihood for minimizing the sse? what is the maximum likelihood of a model error is the sum squared error a maximum likelihood do sse represent maximum likelihood? what makes a model fitting model more likely what is the maximum likelihood of a model if it takes a typical error distribution can you minimize errors in a model? what is minimizing the sse of an error what is sse in modelling what is the minimizing of sqe of an error