Explain why an inverse variation function is not the best model for the data set.
An inverse variation function is not the best model for this data set because in an inverse variation, as x increases, y should decrease. In this data set, as x increases, y also increases. Additionally, for an inverse variation, the product of x and y (xy = k) should be constant. Here, (165)(198) = 32,670 and (170)(204) = 34,680. Since these products are not the same, the data does not represent an inverse variation.
Which did you include in your response?
Did you find these answers helpful?