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.

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Someone answer asap for ! max recorded the heights of 500 male humans. he found that the heights were normally distributed around a mean of 177 centimeters. which statements about max’s data must be true? a. the median of max’s data is 250 b. more than half of the data points max recorded were 177 centimeters. c. a data point chosen at random is as likely to be above the mean as it is to be below the mean. d. every height within three standard deviations of the mean is equally likely to be chosen if a data point is selected at random.