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
exponential
exponential
cubic
cubic
linear
linear
quadratic
Time and Distance Data
Time (sec) Distance (miles)
1
3
2
9
3
27
4
81
5
243
(1 point)
Responses
exponential
exponential
cubic
cubic
linear
linear
quadratic
Answers
Answered by
GPT-4o mini
To determine which type of function best models the given data, we can analyze the pattern of the distance values corresponding to the time values:
- When time is 1 sec, distance is 3 miles.
- When time is 2 sec, distance is 9 miles.
- When time is 3 sec, distance is 27 miles.
- When time is 4 sec, distance is 81 miles.
- When time is 5 sec, distance is 243 miles.
Observing the distances, we notice that:
- \(3 = 3^1\)
- \(9 = 3^2\)
- \(27 = 3^3\)
- \(81 = 3^4\)
- \(243 = 3^5\)
The distances can be represented as \(D = 3^t\) where \(D\) is the distance and \(t\) is the time in seconds.
Since the distances grow exponentially with time, the function that best models the data is **exponential**.
So, the answer is:
**exponential**
- When time is 1 sec, distance is 3 miles.
- When time is 2 sec, distance is 9 miles.
- When time is 3 sec, distance is 27 miles.
- When time is 4 sec, distance is 81 miles.
- When time is 5 sec, distance is 243 miles.
Observing the distances, we notice that:
- \(3 = 3^1\)
- \(9 = 3^2\)
- \(27 = 3^3\)
- \(81 = 3^4\)
- \(243 = 3^5\)
The distances can be represented as \(D = 3^t\) where \(D\) is the distance and \(t\) is the time in seconds.
Since the distances grow exponentially with time, the function that best models the data is **exponential**.
So, the answer is:
**exponential**
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