t = years since 1940 N = cubic ft. in trillions 3.75 8.48 10 15.09 23.79 20 30 40 21.87 50 21.52 60 24.15 (a) Make a logistic model for N as a function of t using Desmos. 12.54 O N(t) = 1+ 5.94e-0.35t 35.67 O N(t) = 1+ 3.41e-1.25t 23.31 O N(t) = 1+ 6.99e¬0.14' 34.86 O N(t) = 1+ 8.54e-0.912 29.53 O N(t) = 1+ 7.58e-0.88? (b) Graph the data and the logistic model.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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**Transcription:**

**Graphs Explanation:**

The image contains four graphs arranged in two rows and two columns. Each graph depicts a logistic growth model with actual data points overlaid.

- **Axes:**
  - The x-axis is labeled as "t," likely representing time.
  - The y-axis is labeled as "N," representing the quantity or size of the population/resource.

- **Graphs Description:**
  - A solid curve represents the logistic growth model.
  - Discrete data points (marked by dots) are plotted over this curve.
  - The graphs demonstrate how well the model fits the actual data at various stages.

- Each graph has a small circle at the bottom left, possibly indicating a selection or annotation option.

**Questions:**

**(c)** Which year's production was farthest from the prediction of the logistic model?  
[             ]

**(d)** What does the logistic model predict for the amount of natural gas that will be produced in the long run? *Note: In other contexts, this would be known as the carrying capacity. (Use the model found in part (a).)*  
[             ] trillion
Transcribed Image Text:**Transcription:** **Graphs Explanation:** The image contains four graphs arranged in two rows and two columns. Each graph depicts a logistic growth model with actual data points overlaid. - **Axes:** - The x-axis is labeled as "t," likely representing time. - The y-axis is labeled as "N," representing the quantity or size of the population/resource. - **Graphs Description:** - A solid curve represents the logistic growth model. - Discrete data points (marked by dots) are plotted over this curve. - The graphs demonstrate how well the model fits the actual data at various stages. - Each graph has a small circle at the bottom left, possibly indicating a selection or annotation option. **Questions:** **(c)** Which year's production was farthest from the prediction of the logistic model? [ ] **(d)** What does the logistic model predict for the amount of natural gas that will be produced in the long run? *Note: In other contexts, this would be known as the carrying capacity. (Use the model found in part (a).)* [ ] trillion
### Logistic Growth Model Analysis

The table below lists data for cubic feet in trillions of a substance over time:

| \( t \) (years since 1940) | \( N \) (cubic ft. in trillions) |
|----------------------------|---------------------------------|
| 0                          | 3.75                            |
| 10                         | 8.48                            |
| 20                         | 15.09                           |
| 30                         | 23.79                           |
| 40                         | 21.87                           |
| 50                         | 21.52                           |
| 60                         | 24.15                           |

#### (a) Logistic Model for \( N \) as a Function of \( t \)

Choose the appropriate logistic model using Desmos:

1. \( N(t) = \frac{12.54}{1 + 5.94e^{-0.35t}} \)
2. \( N(t) = \frac{35.67}{1 + 3.41e^{-1.25t}} \)
3. \( N(t) = \frac{23.31}{1 + 6.99e^{-0.14t}} \)
4. \( N(t) = \frac{34.86}{1 + 8.54e^{-0.91t}} \)
5. \( N(t) = \frac{29.53}{1 + 7.58e^{-0.88t}} \)

#### (b) Graph the Data and Logistic Model

Two graphs are displayed:

- **Left Graph:** This graph plots the given data points and overlays a logistic curve representing the chosen logistic growth model. On the x-axis is time (\( t \)) and on the y-axis is the quantity (\( N \)) in trillion cubic feet.

- **Right Graph:** Similar to the left graph, it plots the same data with a slightly varied logistic model curve.

The logistic curve illustrates how the quantity \( N \) grows over time, indicating a rapid growth phase followed by a plateau. The data points are used to fit the logistic model accurately.
Transcribed Image Text:### Logistic Growth Model Analysis The table below lists data for cubic feet in trillions of a substance over time: | \( t \) (years since 1940) | \( N \) (cubic ft. in trillions) | |----------------------------|---------------------------------| | 0 | 3.75 | | 10 | 8.48 | | 20 | 15.09 | | 30 | 23.79 | | 40 | 21.87 | | 50 | 21.52 | | 60 | 24.15 | #### (a) Logistic Model for \( N \) as a Function of \( t \) Choose the appropriate logistic model using Desmos: 1. \( N(t) = \frac{12.54}{1 + 5.94e^{-0.35t}} \) 2. \( N(t) = \frac{35.67}{1 + 3.41e^{-1.25t}} \) 3. \( N(t) = \frac{23.31}{1 + 6.99e^{-0.14t}} \) 4. \( N(t) = \frac{34.86}{1 + 8.54e^{-0.91t}} \) 5. \( N(t) = \frac{29.53}{1 + 7.58e^{-0.88t}} \) #### (b) Graph the Data and Logistic Model Two graphs are displayed: - **Left Graph:** This graph plots the given data points and overlays a logistic curve representing the chosen logistic growth model. On the x-axis is time (\( t \)) and on the y-axis is the quantity (\( N \)) in trillion cubic feet. - **Right Graph:** Similar to the left graph, it plots the same data with a slightly varied logistic model curve. The logistic curve illustrates how the quantity \( N \) grows over time, indicating a rapid growth phase followed by a plateau. The data points are used to fit the logistic model accurately.
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