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Graphical Presentation of a Nonparametric Regression with Bootstrapped Confidence Intervals

Parametric regression (least-squares) techniques are used to estimate a statistical model that attempts to predict a variable based on one, or more, other variables. The model is required to have a specified algebraic form such as a straight line, a parabola, or an exponential curve. An example would be predicting a persons annual income based on their age, years of schooling and gender using a linear model of the form: