myra uses an inverse variation function to model the data for the ordered pairs below. (2, 30), (3, 20), (4…

myra uses an inverse variation function to model the data for the ordered pairs below. (2, 30), (3, 20), (4, 15), (5, 12), (6, 10) 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.

myra uses an inverse variation function to model the data for the ordered pairs below. (2, 30), (3, 20), (4, 15), (5, 12), (6, 10) 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.

Answer

Answer:

An inverse function is the best model because the products of corresponding x - and y - values are equal.

Explanation:

Step1: Recall inverse - variation formula

For inverse variation, $xy = k$ (constant).

Step2: Calculate products for each pair

For $(2,30)$: $2\times30 = 60$. For $(3,20)$: $3\times20 = 60$. For $(4,15)$: $4\times15 = 60$. For $(5,12)$: $5\times12 = 60$. For $(6,10)$: $6\times10 = 60$. Since the product $xy$ is constant ($k = 60$) for all ordered - pairs, an inverse variation function is the best model.