a procedure for analyzing the relationship between an
independent variable (
x) and a
dependent variable (
y) where the
regression equation involves exponential forms of
x. That is, the changes in
y are not consistent for unit changes in the
x variable(s) but are a function of the particular values of
x. For example, a nonlinear regression model is given by
y =
a +
b1x1 +
b2x12 +
e, where
a indicates the place where the line of
best fit crosses the
y-axis,
b1 indicates the number of units that
y changes when
x is changed by 1 point, and
e is error. Also called
curvilinear regression. Compare
linear regression. See
regression analysis.