Question: Here is a set of nested models: Dependent Variable: Respondent's Income in 1000's Independent Variable:Model 1Model 2 Education (in years)3.57***3.37*** Education Squared---0.02 Hours Worked0.71***0.70*** Constant-38.60-35.60

Here is a set of nested models:

Dependent Variable: Respondent's Income in 1000's

Independent Variable:Model 1Model 2

Education (in years)3.57***3.37***

Education Squared---0.02

Hours Worked0.71***0.70***

Constant-38.60-35.60

R-Squared0.200.20

What is the most appropriate conclusion to make based on these models?

The relationship between education and income is linear.

The relationship between education and income is non-linear.

There is no relationship between education and income.

Education has a larger effect on income than hours worked.

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