The dependent variable is assumed to be
a linear function of the set of independent variables
plus the random error term.
Linearity of the regression model is examined in two alternative
ways. First, examine a plot of an
independent variable against the regression residuals (see: Residual Plot
for Linearity). Alternatively,
plot one independent variable against the dependent variable (see: Nonlinear
Relationship Between Dependent and Independent).