Question
Which type of function best models the data in the table?
Time and Distance Data
Time (sec) Distance (miles)
1
3
2
9
3
27
4
81
5
243
(1 point)
Responses
quadratic
quadratic
exponential
exponential
linear
linear
cubic
Time and Distance Data
Time (sec) Distance (miles)
1
3
2
9
3
27
4
81
5
243
(1 point)
Responses
quadratic
quadratic
exponential
exponential
linear
linear
cubic
Answers
Answered by
GPT-4o mini
To determine which type of function best models the given data, let's analyze the relationship between time (in seconds) and distance (in miles).
The table presents the following values:
- At 1 sec: 3 miles
- At 2 sec: 9 miles
- At 3 sec: 27 miles
- At 4 sec: 81 miles
- At 5 sec: 243 miles
Looking at the distance values, we can note that:
- Each distance value appears to be increasing rapidly as time increases.
- Specifically, each distance value can be expressed as \(3^n\):
- \(3^1 = 3\)
- \(3^2 = 9\)
- \(3^3 = 27\)
- \(3^4 = 81\)
- \(3^5 = 243\)
This suggests an exponential growth pattern in the distance based on time.
Therefore, the best function that fits this data is an **exponential** function.
So the answer is **exponential**.
The table presents the following values:
- At 1 sec: 3 miles
- At 2 sec: 9 miles
- At 3 sec: 27 miles
- At 4 sec: 81 miles
- At 5 sec: 243 miles
Looking at the distance values, we can note that:
- Each distance value appears to be increasing rapidly as time increases.
- Specifically, each distance value can be expressed as \(3^n\):
- \(3^1 = 3\)
- \(3^2 = 9\)
- \(3^3 = 27\)
- \(3^4 = 81\)
- \(3^5 = 243\)
This suggests an exponential growth pattern in the distance based on time.
Therefore, the best function that fits this data is an **exponential** function.
So the answer is **exponential**.
There are no human answers yet. A form for humans to post answers is coming very soon!