Use the options in the Flexible menu to control the smoothness of the estimated regression curve.
• Fit Spline uses a penalized least squares approach. Adjust the degree of smoothness using the parameter lambda. See Fit Spline.
• Kernel Smoother is based on locally weighted fits. Control the influence of local behavior using the parameter alpha. See Kernel Smoother.
• Fit Each Value calculates the mean response at each X value. See Fit Each Value.