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data were collected from libraries about the number of patrons who have…

Question

data were collected from libraries about the number of patrons who have overdue books and how long they have been using the library. the equation $hat{y}=9.5(0.8)^x$ is a model that fits the data. which of the following uses the model correctly and is an example of extrapolation? a patron who has been using the library for 12 years is predicted to have between 3 and 4 overdue books. a patron who has been using the library for 12 years is predicted to have less than 1 overdue book. a patron who has been using the library for 2 years is predicted to have between 5 and 6 overdue books. a patron who has been using the library for 2 years is predicted to have more than 6 overdue books.

Explanation:

Step1: Recall the concept of extrapolation

Extrapolation is using a model to make predictions outside the range of the known - data. The data ranges from 1 to 10 years of library - using experience.

Step2: Analyze each option

For a patron using the library for 12 years, we are going beyond the range of the data (1 - 10 years) in the table. We use the model $\hat{y}=9.5(0.8)^x$. When $x = 12$, $\hat{y}=9.5\times(0.8)^{12}$. Calculate $(0.8)^{12}\approx0.068719476736$ and $\hat{y}=9.5\times0.068719476736\approx0.653$. This is an example of extrapolation as we are predicting for a value of $x$ (12 years) outside the range of the data used to create the model.

Answer:

A patron who has been using the library for 12 years is predicted to have less than 1 overdue book.