Maya is generating a computer simulation to model the rate of recovery of a certain endangered bird species. The population de
creased significantly due to loss of habitat. In her model, she correlates the expected habitat regrowth to an increase in the bird population. Maya's simulation generates a chart of predicted growth of the bird population. A bar chart is shown with Bird Population as the y-axis, and time periods as the x-axis. The first bar shows a very small population of birds, perhaps 1,000, in the present time. The second bar shows a small population, perhaps about 2,000, in the year 2030. The third bar shows a population of 10,000 birds in the year 2130. The fourth and last bar shows a population of 50,000 birds in the year 2530. Study the bar chart. Select the year in which Maya’s model can MOST accurately predict bird population recovery. A. 2030 B. 2130 C. 2530 D. a date in the distant future
2 answers:
The population growth or population recovery will be an exponential growth curve. The linear fit on the given data will help model the recovery of the population in future time. The attached image shows the linear fit and its extrapolation till the year 3000. The linear fit gives a good underestimate of the population in the years after 2530. Hence the answer is D. a date in the distant future.
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