Sign in to view assessments and invite other educators
Sign in using your existing Kendall Hunt account. If you don’t have one, create an educator account.
Match each situation to one of these tables:
A.
| 0 | 24,000 |
| 1 | 19,200 |
| 2 | 15,360 |
| 3 | 12,288 |
B.
| 0 | 24,000 |
| 1 | 26,000 |
| 2 | 28,000 |
| 3 | 30,000 |
C.
| 0 | 24,000 |
| 1 | 19,200 |
| 2 | 14,400 |
| 3 | 9,600 |
D.
| 0 | 24,000 |
| 1 | 26,400 |
| 2 | 29,040 |
| 3 | 31,944 |
The goal is to identify key information that differentiates linear and exponential situations.
Use Critique, Correct, Clarify to give students an opportunity to improve a sample written response to the last question by correcting errors, clarifying meaning, and adding details.
Demonstrate how to use the table of values about the farmer’s grain and technology to create a scatter plot. Then, ask students to use technology and the table of values about the car depreciation to create a scatter plot. Display these graphs side by side and observe ways in which the graphs suggest that one would be better modeled with a linear function and the other with an exponential function.
If students have access to the digital version of the materials, the “Graphing Calculator” tool under Math Tools is recommended. Add a new table, enter the values, and then adjust the graphing window (under the wrench button) so that the scatter plot is visible.
Here are two sets of data representing the annual revenue of two different small businesses for the past ten years. One of them had growth that was approximately linear, and one of them had growth that was approximately exponential. The revenue is expressed in thousands of dollars.
Business A:
| year | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|---|
| revenue | 61.2 | 68.4 | 74.9 | 83.1 | 88.5 | 96.4 | 104.1 | 109.9 | 117.0 | 125.2 |
Business B:
| year | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|---|
| revenue | 40 | 47.9 | 57 | 70.1 | 82.4 | 99.5 | 118.9 | 144.1 | 172.0 | 205.8 |
The purpose of this discussion is to compare models and discuss strategies. Invite a few students to display their scatter plots and models. Because the data is a little bit messy, different students might come up with models that are slightly different from each other but still reasonable. Here are some questions for discussion: