To create an exponential model for the given dataset, we can start by examining the provided y-values:
- For \( x = 0, y = 6 \)
- For \( x = 1, y = 12 \)
- For \( x = 2, y = 24 \)
- For \( x = 3, y = 48 \)
From the values, we can see that the y-values are increasing in a manner consistent with an exponential function.
Often, an exponential model is represented in the form \( f(x) = ab^x \), where \( a \) is the initial value when \( x = 0 \) and \( b \) is the growth factor.
Step 1: Identify \( a \)
Since the y-value when \( x = 0 \) is \( 6 \), we can say \( a = 6 \).
Step 2: Determine \( b \)
Next, we need to find the growth factor \( b \). We can use the values at \( x = 1 \) and \( x = 0 \):
- When \( x = 0 \), \( f(0) = 6 \)
- When \( x = 1 \), \( f(1) = 12 \)
Using the exponential model: \[ f(1) = ab^1 = 6b \] Setting it equal to \( 12 \): \[ 6b = 12 \implies b = \frac{12}{6} = 2 \]
Step 3: Formulate the function
Now we can write the exponential model as: \[ f(x) = 6(2^x) \]
Conclusion
The correct exponential model corresponding to the dataset shown is: \[ f(x) = 6(2^x) \]
Looking at the provided responses, the correct answer is: \[ \text{f(x) = 6(2)}^x \]