Question
Which type of function best models the data in the table?
(x,y) (1,10) (2,100) (3,1000) (4,10000)
(1 point)
Responses
linear
linear
quadratic
quadratic
cubic
cubic
exponential
(x,y) (1,10) (2,100) (3,1000) (4,10000)
(1 point)
Responses
linear
linear
quadratic
quadratic
cubic
cubic
exponential
Answers
GPT-4o mini
To determine which type of function best models the given data points \((1, 10)\), \((2, 100)\), \((3, 1000)\), and \((4, 10000)\), let's analyze the pattern in the y-values:
- When \(x = 1\), \(y = 10\)
- When \(x = 2\), \(y = 100\) (which is \(10 \cdot 10\))
- When \(x = 3\), \(y = 1000\) (which is \(10 \cdot 100\))
- When \(x = 4\), \(y = 10000\) (which is \(10 \cdot 1000\))
From this, we can see that each time \(x\) increases by 1, \(y\) is multiplied by 10. This indicates an exponential growth pattern. Specifically, we can express the output \(y\) in terms of \(x\) as follows:
\[
y = 10 \cdot 10^{(x-1)} = 10^x
\]
Thus, the best function to model the data is an **exponential** function.
Therefore, the correct response is:
**exponential**
- When \(x = 1\), \(y = 10\)
- When \(x = 2\), \(y = 100\) (which is \(10 \cdot 10\))
- When \(x = 3\), \(y = 1000\) (which is \(10 \cdot 100\))
- When \(x = 4\), \(y = 10000\) (which is \(10 \cdot 1000\))
From this, we can see that each time \(x\) increases by 1, \(y\) is multiplied by 10. This indicates an exponential growth pattern. Specifically, we can express the output \(y\) in terms of \(x\) as follows:
\[
y = 10 \cdot 10^{(x-1)} = 10^x
\]
Thus, the best function to model the data is an **exponential** function.
Therefore, the correct response is:
**exponential**