Answer:
Option B. Quadratic
Explanation:
In a regression model, the value of
tells us how accurately the model fits the data.
That closer the value of
of 1 is, better is the model.
This can be used to compare what type of model is most convenient to use in some cases.
In this problem the attached table shows a comparison of the value of
for 3 models
Linear
Quadratic
Exponential
Note that the value of
that is closest to 1 is that which corresponds to the quadratic model.
![r ^ 2 = 0.89](https://img.qammunity.org/2020/formulas/mathematics/high-school/jfwk8ayrybbn3tmell15s1skti59dv6nga.png)
Therefore the function that best fits the points is the quadratic