You must enter the function that you expect describes the relationship between the predictor(s) and response variable. You can either specify an existing expectation function in the catalog or specify a new function.
If you specify a new function, it must contain at least one of each of the three basic components:
The following examples from the expectation function catalog are acceptable functions. Thetas represent parameters and X's represent predictors. You replace the X's with the variable names. Each time you perform nonlinear regression using a new function, Minitab automatically adds the function to the catalog.
Expectation function |
Model name |
Model contains |
1 / (1 + Theta *X ) |
Convex 1 |
One parameter and one predictor |
Theta1* X / ( Theta2 + X ) |
Michaelis-Menten |
Two parameters and one predictor |
Theta1 * cos ( X + Theta4 ) + Theta2 * cos ( 2 * X + Theta4 ) + Theta3 |
Fourier 1 |
Four parameters and one predictor |
Theta1 - Theta2 * ( ln ( X1 + Theta3 ) - ln ( X2 ) ) |
Nernst equation |
Three parameters and 2 predictors |
X1 * X2 / ( Theta1 + Theta2 * X1 + Theta3 * X1 * X2 + Theta4 * X1 * X3 ) |
Enzyme reaction |
Four Parameters and 3 predictors |