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SS Error
SS error is the amount of error left unexplained by the model; the area of all the squared residuals based on the distance of each score from the model prediction.
SS Total
SS Total is the amount of error revealed by the empty model (the mean); it is the total area of the squared residuals based on the distance of each score from the mean.
Sum of Squares (SS)
Sum of Squares (SS) is the total area of the squared residuals; a way to quantify error, which gets around the problem of the sum of residuals adding up to 0; an important feature of SS is that the one number model that uniquely minimizes it is the ...
complex model
A complex model is a model with at least one explanatory variable.
proportion reduction in error (PRE)
Proportion reduction in error (PRE) is the proportion of error that has been reduced by a more complex model compared with a simpler model, which in our course is always the empty model. When comparing to the empty model, PRE is calculated as SS ...