Question

explain why an inverse variation function is not the best model for the data set​

Answer 1

Answer: The cause of exponential decay. Sowwy if im wrong

Step-by-step explanation:

An inverse variation function is not the best model because the data points show an exponential decay. The fact that this is true for ALL of the points shown indicates we have an inverse variation of the form x*y = k where k = 60 in this case. ... For any inverse variation, as x increases, y will decrease (and vice versa).

Answer 2

Answer: The products of corresponding x- and y- values of an inverse variation function are constant.

As x increases, y also increases.

The product of coordinate pairs are not equal: (165) (198) = 32,670 and (170) (204) = 34,680.

Step-by-step explanation: