## Parameter Values p

_{1}and p_{2}

## The function of a curve f(x) has two fixed parameter values that define its shape, along with the independent variable x. We call these values p

_{1}and p_{2}. In order to fit a curve to our data that minimizes the RSS, we need to approximate the parameter values.In the case of Linear Regression, we can find these values with equations.

The Special Case of Linear Regression

## With Nonlinear Regression, the parameter values aren't as easily determinable. We are forced to rely upon a process of trial and error to discover p

_{1}and p_{2}. This concept is more easily understood with a visual representation.Nonlinear Regression: A Graphical Representation

7:2