The standard error estimate is computed as the square root of the mean squared error and it

is a standard deviation of the errors. It is therefore useful for to making a judgment about

The fit of regression model in conjunction with the assumption that __________.

		the model is linear
		the error terms have constant variance
		the error terms are independent (see Wikipedia definition)
		the error terms are normally distributed