The four most common types of linear regression are simple, multiple, and polynomial ... to capture curvature in the datasets. Applying logarithmic, square root, or reciprocal transformations ...

Nonlinear regression uses logarithmic functions, trigonometric functions, exponential functions, power functions, Lorenz curves, Gaussian functions, and other fitting methods. Both linear and ...

or none of these and provide justification Find a linear, polynomial, exponential, or logarithmic function with given graphical properties or a real-world situation (context) Change the form of a ...