Which statement best explains whether an inverse variation function is the best model for the data? An inverse function is the best model because as x increases, y decreases. An inverse function is the best model because the products of corresponding x- and y-values are equal. An inverse variation function is not the best model because data points approximate a straight line. An inverse variation function is not the best model because the data points show an exponential decay.