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. Consider the regression . log(wage) = 5.2003 + 0.0479educ + 0.0163exper + 0.00471Q + 0.1646urban (0.1205) (0.0077) (0.0033) (0.0010) (0.0275) . Where "wage" is monthly wage, "educ" is years of education, "exper" is years of work experience, "IQ" represents Intelligent Quotient, which reflects a person's measured intelligence, and "urban" is a binary variable that is equal to 1 for those who live in urban areas and equal to 0 if otherwise. The standard errors are reflected in the parentheses, and the sample size used for these estimates is n = 935. . How much more, in terms of log(wage), do people in urban areas earn relatively to those in non-urban areas? Evaluate if the coefficient on "urban" is statistically significant at the 5% level