To determine the best model for the given data, we need to analyze the relationship between \(x\) and \(y\) values.
Let's first list the provided data:
- When \(x = 2\), \(y = 8.5\)
- When \(x = 4\), \(y = 46\)
- When \(x = 6\), \(y = 107.5\)
- When \(x = 8\), \(y = 193\)
Step 1: Examine the differences
We can compute the differences in \(y\) values for subsequent \(x\) values:
- \(y(4) - y(2) = 46 - 8.5 = 37.5\)
- \(y(6) - y(4) = 107.5 - 46 = 61.5\)
- \(y(8) - y(6) = 193 - 107.5 = 85.5\)
Step 2: Examine the second differences
Now, let’s compute the differences of the differences:
- \(61.5 - 37.5 = 24\)
- \(85.5 - 61.5 = 24\)
The second differences are constant (24), which suggests that the function is quadratic.
Conclusion
Since the second differences are constant, the best model for the data in the table is a quadratic function.
Thus, the answer is:
Quadratic