To find a quadratic model for the given dataset, we can use the points provided in the table. The values appear to suggest a quadratic relationship, so we can fit the data to a quadratic function of the form \( f(x) = ax^2 + bx + c \).
The x-values and corresponding y-values are:
- For \( x = -1 \), \( y = 6 \)
- For \( x = 0 \), \( y = 5 \)
- For \( x = 1 \), \( y = 6 \)
- For \( x = 2 \), \( y = 9 \)
- For \( x = 3 \), \( y = 14 \)
We can create a system of equations using these points. However, since we are looking for a straightforward fit based on the response options, we can evaluate the given options.
-
Option 1: \( f(x) = x + 5 \)
- For \( x = 0 \), \( f(0) = 5 \) (matches)
- For \( x = 1 \), \( f(1) = 6 \) (matches)
- For \( x = 2 \), \( f(2) = 7 \) (does not match)
This option does not fit all points.
-
Option 2: \( f(x) = x^2 + 7 \)
- For \( x = -1 \), \( f(-1) = 8 \) (does not match)
This option does not fit all points.
-
Option 3: \( f(x) = x^2 + 5 \)
- For \( x = -1 \), \( f(-1) = 6 \) (matches)
- For \( x = 0 \), \( f(0) = 5 \) (matches)
- For \( x = 1 \), \( f(1) = 6 \) (matches)
- For \( x = 2 \), \( f(2) = 9 \) (matches)
- For \( x = 3 \), \( f(3) = 14 \) (matches)
This option fits all points.
-
Option 4: \( f(x) = 2x + 5 \)
- For \( x = 0 \), \( f(0) = 5 \) (matches)
- For \( x = 1 \), \( f(1) = 7 \) (does not match)
This option does not fit all points.
Based on the evaluations, the quadratic model that fits the dataset is:
\( f(x) = x^2 + 5 \)