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.

Unaware that 35% of the 10000 voters in his constituency support him, a politician decides to estimate his political strength. a sample of 200 voters shows that 40% support him. a. what is the population? b. what is the parameter of interest? state its value c. what is the statistics of the interest? state its value d. compare your answers in (b) and (c) is it surprising they are different? if the politician were to sample another 200 voters, which of the two numbers would most likely change? explain