The residual standard deviation that results from the model with the single term only.

The last two criteria focus on the residual standard deviation of the model.

This last model will have a residual standard deviation of zero.

What is the goodness-of-fit (as measured by the residual standard deviation) for the various models?

Note that the residual standard deviation alone is insufficient for determining the most appropriate model as it will always be decreased by adding additional factors.

For steers the corresponding residual standard deviations were 3.8 kg and 3.2 kg.

A more appropriate approach is based on the use of the residual standard deviation (RSD) from regression analyses (e.g.

Statistical significance of residual standard deviation The first four criteria focus on effect sizes with three numeric criteria and one graphical criterion.

This consists of a monotonically decreasing set of residual standard deviations (indicating a better fit as the number of terms in the model increases).

Residual standard deviations for predicting linear fat depths from hot FDI readings were 1.53 mm and 1.4 mm for pigs and steers.

The residual standard deviation of a regression line or the standard deviation of y-intercepts of regression lines may be used as the standard deviation.

The key results of a linear regression analysis are usually the regression coefficient (b), its standard error, the intercept or constant term, the correlation coefficient (r) and the residual standard deviation.

For each modelled class, the mean orthogonal distance of training data samples from the line, plane or hyper-plane (calculated as the residual standard deviation) is used to determine a critical distance for classification.

Linear regression relationships of Introscope of Fat-Depth Indicator fat depths gave residual standard deviations of 1.5 mm and 1.4 mm at the 4 and 6.5 cm sites respectively.