Math  /  Data & Statistics

QuestionShown to the right is a certain population, in billions, for seven selected years from 1950 through 2006. Using a graphing utility's logistic regression option, we obtain the logistic growth model shown below for population, f(x)\mathrm{f}(\mathrm{x}), in billions, x years after 1949. How well does the function model the data for 2006? f(x)=11.821+3.81e0.027xf(x)=\frac{11.82}{1+3.81 e^{-0.027 x}} \begin{tabular}{|c|c|} \hline X, Number of Years after 1949 & y, Population (billions) \\ \hline 1(1950)1(1950) & 2.6 \\ \hline 11(1960)11(1960) & 3.0 \\ \hline 21(1970)21(1970) & 3.7 \\ \hline 31(1980)31(1980) & 4.5 \\ \hline 41(1990)41(1990) & 5.3 \\ \hline 51(2000)51(2000) & 6.1 \\ \hline 57(2006)57(2006) & 6.5 \\ \hline \end{tabular}
For 2006 , the function \square the population to one decimal place. accurately predictś slightly underestimates slightly overestimates

Studdy Solution
The function accurately predicts the population to one decimal place.

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