Question
Data, Analytics, & Troubleshooting Unit Test 22 of 2522 of 25 Items Question In 3-5 sentences, describe how you would develop a computational model of the velocity of a satellite based on the current distance from the earth and the time elapsed. Consider the data set given below: X (distance from earth) 100 20 15 29 67 5 Y (the time elapsed) 31 44 27 22 36 52 If the velocity, V, is given by V=2πXY , find V. Test your code using the trinket tool. Trinket (4 points) Short Answer Rubric (4 points) Points Awarded Criteria 4 The answer is very clear. The answer is fully supported by details. There may be a few errors in grammar, usage, or mechanics. Errors do not interfere with meaning. 3 The answer is mostly clear. The answer is supported by mostly relevant details. There are a few errors in grammar, usage, or mechanics. Errors do not interfere with meaning. 2 The answer is somewhat clear. Details are weak or not related. There are some errors in grammar, usage, and mechanics. Errors interfere with meaning. 1 The answer is not clear. There are few or no supporting details. There are many errors in grammar, usage, and mechanics. Errors interfere with meaning. 0 The question is not answered. Skip to navigation page 1 of 1
Answers
GPT-4o mini
To develop a computational model of the satellite's velocity based on the distance from the Earth and the time elapsed, I would create a function that takes two lists as inputs—one for distances (X) and one for time (Y). The function would then compute the velocity (V) using the formula \( V = 2 \pi X Y \), iterating through each pair of values in the lists. Finally, I would test the implementation using the Trinket tool to ensure the calculations are correct and the output is as expected.
Now, let’s calculate the velocity for the given data points:
```python
import math
# Given data
distances = [100, 20, 15, 29, 67, 5] # X
time_elapsed = [31, 44, 27, 22, 36, 52] # Y
# Function to compute velocity
def compute_velocity(distances, time_elapsed):
velocities = []
for x, y in zip(distances, time_elapsed):
v = 2 * math.pi * x * y
velocities.append(v)
return velocities
# Calculate velocities
velocities = compute_velocity(distances, time_elapsed)
print(velocities)
```
This code snippet defines the function and calculates the velocities based on the provided distances and time values. You can run this code in the Trinket tool for validation.
Now, let’s calculate the velocity for the given data points:
```python
import math
# Given data
distances = [100, 20, 15, 29, 67, 5] # X
time_elapsed = [31, 44, 27, 22, 36, 52] # Y
# Function to compute velocity
def compute_velocity(distances, time_elapsed):
velocities = []
for x, y in zip(distances, time_elapsed):
v = 2 * math.pi * x * y
velocities.append(v)
return velocities
# Calculate velocities
velocities = compute_velocity(distances, time_elapsed)
print(velocities)
```
This code snippet defines the function and calculates the velocities based on the provided distances and time values. You can run this code in the Trinket tool for validation.