Myra uses an inverse variation function to model the data for the ordered pairs below. (2, 30), (3, 20), (4, 15), (5, 12), (6, 1
0) 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 are closer to forming a straight line.
An inverse variation function is not the best model because the data points show an exponential decay.
"Note how for each (x,y) pair of points given we see that x*y = 60 For instance, the point (4,15) has x = 4 and y = 15 so x*y = 4*15 = 60 Another example: (x,y) = (6,10) means x = 6 and y = 10, so x*y = 6*10 = 60 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. Therefore, the answer is B.) An inverse function is the best model because the products of corresponding x- and y-values are equal."
Since there are 60 minutes in a hour you could convert it. Or you could just subtract 550 minutes by 415 minutes and get 95 minutes which is also 1 hour and 35 minutes.
