The data set consists of information on 4800 full-time full-year workers. The highest educational achievement for each worker was either a high school diploma or a bachelor's degree. The worker's ages ranged from 25 to 45 years. The data set also contained information on the region of the country where the person lived, marital status, and number of children. For the purposes of these exercises, let AHE = average hourly earnings (in 2005 dollars) College = binary variable (1 if college, 0 if high school) Female = binary variable (1 if female, 0 if male) Age = age (in years) Ntheast = binary variable (1 if Region = Northeast, 0 otherwise) Midwest = binary variable (1 if Region = Midwest, 0 othenlvise) South = binary variable (1 if Region = South, 0 othenlvise) West = binary variable (1 if Region = West, 0 othenlvise) Results of Regressions of Average Hourly Earnings on Gender and Education Binary Variables and Other Characteristics Using Data from the Current Population Survey Dependent variable: average hourly earnings (AHE). Regressor (1 ) (2) (3) Results of Regressions of Average Hourly Earnings on Gender and Education Binary Variables and Other Characteristics Using Data from the Current Population Survey Dependent variable: average hourly earnings (AHE). Regressor (1 ) (2) (3) College (X1) 5.68 5.70 5.66 Female (X2) 2.75 2.72 2.72 Age (X3) 0.30 0.30 Northeast (X4) 0.72 Midwest (X5) 0.62 South (X6) 0.28 Intercept 13.20 4.58 3.90 Summary Statistics SER 6.52 R2 0.183 I32 n 4800 Compute I32 for each of the regressions. z for column (1) is . (Round your response to three decimal places.) z for column (2) is . (Round your response to three decimal places.) EZ for column (3) is . (Round your response to three decimal places.) 6.47 0.198 4800 6.46 0.202 4800