of mathematical model
that reflects results in a curve between two variables (X & Y) rather than a straight-line relationship
as in the case of a linear regression
, which are usually simpler with expression such as Y= a + bx. The main characteristic
of a non-linear regression
is that the prediction equation
does not linearly depend on the unknown parameters. This type of regression uses functions such as trigonometry, logarithm and exponential.