Do Homework - Homework 7 - Google Chrome 20 https://mylab.pearson.com/Student/PlayerHomework.aspx?homeworkld=6575578058questionld=1&flushed=false&cld=7548803¢erwin=yes ECO 4000 Min Khant Naing 12/17/23 11:33 PM Homework: Homework 7 Question 1, Exercise 7.2 HW Score: 0%, 0 of 6 points Part 1 of 4 O Points: 0 of 1 Save South = binary variable (1 if Region = South, 0 otherwise) Question list K West = binary variable (1 if Region = West, 0 otherwise) Results of Regressions of Average Hourly Earnings on Gender and Education Binary Variables and Other Characteristics Using Data O Question 1 from the Current Population Survey Dependent Variable: average hourly earnings (AHE). O Question 2 Regressor (1) (2) (3) O Question 3 College (X1) 5.73 5.75 5.71 (0.22) (0.22) (0.22) Female (X2) - 2.77 -2.75 2.75 (0.21) (0.21) Question 4 (0.21) Age (X3) 0.30 0.30 (0.04) (0.04) Northeast (X4) 0.72 O Question 5 (0.32) Midwest (X5) 0.63 0.29 Question 6 South (X6) - 0.28 (0.27 Intercept 13.32 4.62 3.94 (0.15) (1.10) (1.11) Summary Statistics F-statistic for regional effects = 0 6.08 SER 6.58 6.53 6.52 p2 0.185 0.200 0.204 3400 3400 3400 Using the regression results in column (1): The t-statistic for the college-high school earnings difference estimated from this regression is | |. (Round your response to two decimal places.) Is the college-high school earnings difference estimated from this regression statistically significant at the 10% level? Since the absolute value of the t-statistic is than the critical value for 90% confidence, the college-high school earnings difference estimated from this regression statistically significant at the 10% level. Etext pages Grapher Get more help - Clear all Check answer Type here to search Th ~ () 9 9 7ENG 11:33 PM 12/17/2023Do Homework - Homework 7 - Google Chrome 20 https://mylab.pearson.com/Student/PlayerHomework.aspx?homeworkld=657557805&questionld =1&flushed=false&cld=7548803¢erwin=yes ECO 4000 Min Khant Naing 12/17/23 11:33 PM Homework: Homework 7 Question 1, Exercise 7.2 HW Score: 0%, 0 of 6 points Part 1 of 4 Points: 0 of 1 Save The data set consists of information on 3400 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 Question list K 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) O Question 1 Female = binary variable (1 if female, 0 if male) Age = age (in years) Witheast = binary variable (1 if Region = Northeast, 0 otherwise) Midwest = binary variable (1 if Region = Midwest, 0 otherwise) O Question 2 South = binary variable (1 if Region = South, 0 otherwise) West = binary variable (1 if Region = West, 0 otherwise) Results of Regressions of Average Hourly Earnings on Gender and O Question 3 Education Binary Variables and Other Characteristics Using Data from the Current Population Survey Question 4 Dependent Variable: average hourly earnings (AHE). Regressor (1) (2) 3) O Question 5 College (X1) 5.73 5.75 5.71 (0.22) (0.22) (0.22) Question 6 Female (X2) - 2.77 - 2.75 - 2.75 (0.21) (0.21 (0.21) Age (X3) 0.30 0.30 (0.04) (0.04) Northeast (X4) 0.72 (0.32) Midwest (X5) 0.63 (0.29) South (X6) - 0.28 (0.27 Intercept 13.32 4.62 3.94 (0.15) (1.10) (1.11) Summary Statistics F-statistic for regional effects = 0 6.08 SEF 6.58 6.53 6.52 p2 0.185 0.200 0.204 3400 3400 3400 Etext pages Grapher Get more help - Clear all Check answer 11:33 PM Type here to search E T ~ () 9 9 7ENG 12/17/2023