Consider the regression below of wealth on income (where income is measured i 50 is 50 thousand). wealth_i=2+0.1income_i+0.001(income_i)^2+100college_i

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Consider the regression below of wealth on income (where income is measured in thousands, e.g.,
50 is 50 thousand).
wealth_i=2+0.1income_i+0.001(income_i)^2+100college_i
If the sum of squared residuals following the regression is 10,000, the regression was estimated
with 104 observations, the total variance in college is 200, and the R^squared of a regression of
college on income and income squared is 0.75, what is the standard error on the college slope
coefficient?
0.41
1.39
2.00
2.02
None of these
1.41
Transcribed Image Text:Consider the regression below of wealth on income (where income is measured in thousands, e.g., 50 is 50 thousand). wealth_i=2+0.1income_i+0.001(income_i)^2+100college_i If the sum of squared residuals following the regression is 10,000, the regression was estimated with 104 observations, the total variance in college is 200, and the R^squared of a regression of college on income and income squared is 0.75, what is the standard error on the college slope coefficient? 0.41 1.39 2.00 2.02 None of these 1.41
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