After solving, the coefficient tables contain both the fitted coefficients and the residual errors. Plot your data (TBFPLOT) to visually interpret the results.

The first column is always the X axis, with each additional column plotted separately as a function of column 1.

To determine results acceptability, consider the visual fit and the error norm/residual values. Error norm values help to determine the quality of curve-fitting and whether to accept the results, but are not always the best indicator of a valid curve fit. Plotting the curves and visually assessing the result is usually the best indication.

If the results are unacceptable, you can go back to step 3 and solve again, either by choosing a different model, increasing the order, or redefining your initial values of the coefficients or other control parameters. You can continue to use your original experimental data, repeating step 3 through step 6 until you obtain an acceptable solution.