Here Is a Set of Nested Models $\text { Dependent Variable: Respondent's Income in 1000's }$

Here is a set of nested models:
$\text { Dependent Variable: Respondent's Income in 1000's }$
$\begin{array}{lcc}\text { Independent Variable } & \text { Model } 1 & \text { Model } 2 \\\text { Education in years } & 3.57 * * * & 3.37 * * * \\\text { Education Squared } & --- & .02 \\\text { Hours Worked } & .71^{* * *} & .70^{* * *} \\\text { Constant } & -38.60 & -35.60 \\\text { R-Squared } & .20 & .20\end{array}$ What is the most appropriate conclusion to make based on these models?

A) The relationship between education and income is linear.
B) The relationship between education and income is non-linear.
C) There is no relationship between education and income.
D) Education has a larger effect on income than hours worked.