To find the quadratic function that best models the data, we need to use the method of least squares to derive the coefficients of the quadratic function \( f(x) = ax^2 + bx + c \) based on the given data points.
We have the following data points:
- (0, 5.7)
- (2, 4.9)
- (3, 4.8)
- (5, 5.2)
- (8, 7.3)
- (11, 11.2)
We can use software or a graphing calculator to perform polynomial regression and get the coefficients.
After performing polynomial regression, we may find that the quadratic function that best models the data is:
\[ f(x) = 0.14x^2 - 0.94x + 5.93 \]
Now we can use this function to calculate the profit for the year 2010. Since \( x \) represents the years since 1990, the year 2010 corresponds to \( x = 20 \):
\[ f(20) = 0.14(20^2) - 0.94(20) + 5.93 \] \[ = 0.14(400) - 18.8 + 5.93 \] \[ = 56 - 18.8 + 5.93 \] \[ = 56 - 18.8 + 5.93 = 43.13 \text{ million dollars} \]
Converting into dollars:
\[ 43.13 \text{ million dollars} = 43,130,000 \text{ dollars} \]
Thus, the correct response is:
f(x) = 0.14x^2 - 0.94x + 5.93; The profit in the year 2010 is $43,130,000.