Get All WGU Applied Algebra Exam Questions with Validated Answers
| Vendor: | WGU |
|---|---|
| Exam Code: | Applied-Algebra |
| Exam Name: | WGU Applied Algebra |
| Exam Questions: | 94 |
| Last Updated: | October 5, 2026 |
| Related Certifications: | WGU Courses and Certifications |
| Exam Tags: |
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The values, in dollars, of two accounts over time are modeled by
and
The variable is measured in years.
What is the difference between the accounts after 3 years?
We need to compare the two account values after:
First, find the value of Account 1:
Now find the value of Account 2:
Now subtract:
So Account 1 is about:
greater than Account 2 after 3 years.
Therefore, the correct answer is:
The number of daily raffle tickets sold, , for a fundraiser is represented by the graph, with the number of days since the beginning of the month along the horizontal axis and the number of raffle tickets sold for the day along the vertical axis.
How can the concavity be described from to ?
From to about , the graph is decreasing, but it is flattening as it approaches a minimum. This means the number of raffle tickets sold is decreasing at a slower rate:
After the minimum, from about to , the graph increases and becomes steeper. This means the number of raffle tickets sold is increasing at a faster rate:
So the correct description is:
The scatterplot shows data on the population of rabbits in a nature preserve. The graphed regression function has an value of .
What is the appropriate range of -values for extrapolation?
The graph shows a logistic regression model for rabbit population data.
The given value is:
An value close to means the model fits the data well. Since is close to , the regression model is a strong fit.
However, extrapolation should still be done carefully. Extrapolation means using the model to predict values outside the observed data range.
From the scatterplot, the data values appear to run roughly from about:
A reasonable extrapolation range should stay close to the observed data. The interval:
extends slightly beyond the data on both sides, so it is more reasonable than the much wider interval:
The statements saying extrapolation is not appropriate because or because are not valid interpretations.
The graphed function represents the number of animals, , at a feeding station hours after 5:00 a.m. The plotted points and have coordinates and .
Which statement gives the correct interpretation of the average rate of change of the number of animals over the interval from point to point ?
The average rate of change tells how much the output changes per one unit of input.
Here:
and
The two given points are:
and
Use the average rate of change formula:
Substitute the coordinates:
The negative sign means the number of animals is decreasing.
So the correct interpretation is:
Therefore, the correct answer is:
The scatterplot shows data on the usage of a computer's CPU over time. The graphed regression function has an value of .
What is the appropriate range of -values for extrapolation?
The value measures how well a regression model fits the data.
Here:
This is a low value, meaning the model explains only about:
of the variation in the data.
That indicates a weak fit. When a model has a weak fit, using it for extrapolation is not reliable because predictions outside the data range may be very inaccurate.
Since:
the best conclusion is that extrapolation is not appropriate because the regression model does not fit the data well enough.
Therefore, the correct answer is:
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