To create an exponential model from the provided dataset, we observe the pattern in the \(y\)-values as \(x\) increases.
From the given data:
- When \(x = 0\), \(y = 6\)
- When \(x = 1\), \(y = 12\)
- When \(x = 2\), \(y = 24\)
- When \(x = 3\), \(y = 48\)
Notice that:
- \(y\) doubles as \(x\) increases by 1, suggesting a base of 2 for the exponential function.
We can express the model as:
\[ f(x) = a \cdot b^x \]
Substituting the known values to find \(a\) and \(b\):
Starting with \(f(0) = 6\):
\[ f(0) = a \cdot b^0 \Rightarrow 6 = a \cdot 1 \Rightarrow a = 6 \]
Next, we need to find \(b\). Using \(f(1) = 12\):
\[ f(1) = 6 \cdot b^1 = 12 \Rightarrow b = \frac{12}{6} = 2 \]
Now we have:
\[ f(x) = 6 \cdot 2^x \]
Thus, the exponential model that fits the data is:
\[ \boxed{f(x) = 6(2^x)} \]
From your provided options, this corresponds to:
f(x) = 6(2)^x (which is the first option given).