A multiple linear regression model can be described by DATA = FIT + RESIDUAL.What does the RESIDUAL part represent?

A) The parameters of the model
B) The subpopulation means
C) The variation of observations about the means
D) None of the above

Residual

In statistics, a residual is the difference between the observed value and the value predicted by a model.

Multiple Linear Regression

An extension of linear regression that models the relationship between a dependent variable and two or more independent variables.

Variation

The degree to which data points in a statistical distribution or dataset differ from each other and from their mean.