You can enter values for estimated coefficients for several scenarios. For example, you may want to provide starting estimates so that the algorithm converges to a solution, or you may want to validate a model with an independent sample. For more information, go to Entering initial values for estimated coefficients
- Starting estimates for algorithm
- Enter the column containing the initial values for model parameters. Specify initial values for model parameters or parameter estimates for a validation model.
- Estimates for validation model
- Enter the column containing the estimated model parameters. Minitab will then fit the validation model.
In Maximum number of iterations, enter the maximum number of iterations that Minitab performs to reach convergence. The default value is 20. Minitab's logistic regression commands obtain maximum likelihood estimates through an iterative process. If Minitab reaches the maximum number of iterations before convergence, the command terminates.