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Curvilinear regression is the relationship between two specific variables among which one is to be predictor and the other to be regressed variable. This curvilinear relationship is best explained to be a non-linear relationship between variables. This is among those few important relationships of variables that need to be considered. When calculating 6e unknowns, the least square method is applied specifically.