Mean+Square

Mean Square (Regression) (GWU EMSE-271)
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Placeholder: Not really a mean, think a Sum of Squares divided by Degrees of Freedom

I think a partial answer:

"In a linear model and other regression models, the residuals, or estimated errors, are the differences between the observed data and fitted model," "(the //n// in the denominator is **often modified by a correction for** degrees of freedom). In this case the MSE depends on data, and is a random variable. However, under certain conditions, this MSE is an estimate of the above MSE for the quantity ... Thus, although the estimator may be subject to estimation error, it may still represent a scalar." - [|Wikipedia]


 * Sources:**
 * Mean squared error. (2009, November 19). In //Wikipedia, The Free Encyclopedia//. Retrieved 17:43, December 13, 2009, from []
 * EMSE 271, Fall 2009