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nonparametric regression

a form of regression analysis in which the relationship between an outcome or dependent variable and one or more predictors or independent variables is analyzed without the assistance of a preexisting model. In contrast to traditional regression, in which the structure of the regression equation is known and only the regression coefficients are estimated from the data set, nonparametric regression requires that both the equation and coefficients be determined from the data.

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