How do we make predictions with our curvature models?

Predictions with curvature models are made by inputting data points into the model and using its fitted curve to estimate the corresponding values for the output variables. The model is then used to extrapolate predictions beyond the range of the existing data. This is accomplished by taking the learned relationship between the input and output variables and applying it to new data points. Predictions are made by plugging new data points into the equation of the curve and finding corresponding values in the output.