
a.
To create a
a.

Answer to Problem 79E
Explanation of Solution
Given information:
The number
Use a graphing data utility to create a scatter plot of the data. Let
Calculation:
Here, we will consider the following table:
Hence, the result is shown in the graph.
b.
To find a quartic model for the data by using regression feature of the graphing utility.
b.

Answer to Problem 79E
Explanation of Solution
Given information:
The number
Use the regression feature of the graphing utility to find a quartic model for the data. (A quartic model has the form
Calculation:
By using the regression feature of the graphing utility a quartic model for the data is given by:
Hence, the result is
c.
How well does the model fit the data?
c.

Answer to Problem 79E
Explanation of Solution
Given information:
The number
Graph the model and the scatter plot in the same viewing window. How well does the model fit the data?
Calculation:
The graph of the model on the same scatter plot is shown below:
Hence, from the above graph we can observe that the model fits the data very closely.
d.
To find when did the number of students enrolled in the schools exceed
d.

Answer to Problem 79E
Explanation of Solution
Given information:
The number
According to the model, when did the number of students enrolled in the schools exceed
Calculation:
Hence, by using the zoom and trace features, the number of students enrolled in schools exceeded
e.
To find if the model is valid for long-term predictions of student enrollment?
e.

Answer to Problem 79E
No, the model is not valid.
Explanation of Solution
Given information:
The number
Is the model valid for long-term predictions of student enrollment? Explain.
Calculation:
No, the model is not valid for long-term predictions of student enrollment. As, the numbers predicted by the model increase very fast while estimated far into the future which may not be correct.
Hence, the model is not valid for long-term predictions of student enrollment.
Chapter 2 Solutions
Precalculus with Limits
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