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Run a regression of years of completed education (ED) on distance to the nearest college (Dist). where Dist is measured in tens of miles. (For example, Dist = 2 means that the distance is 20 miles). What is the estimated intercept My? The estimated intercept gig is 13.63 (Round your response to three decimal places) What is the estimated slope ,, ? The estimated slope s, is - 0.018 (Round your response to three decimal places) is the estimated intercept fly meaningful in this case? Yos. O D. No. How does the average value of years of completed schooling change when colleges are built close to where students go to high school? O A. The regression predicts that if colleges are built 10 miles closer to where students go to high school, average years of college will increase by 13.630 years. O B. The regression predicts that if colleges are built 10 miles closer to where students go to high school, average years of college will decrease by 0.018 years. O C. The regression predicts that if colleges are built 10 miles closer to where students go to high school, average years of college will decrease by 13.630 years. D. The regression predicts that if colleges are built 10 miles closer to where students go to high school, average years of college will increase by 0.018 years. Bob's high school was 11 miles from the nearest college. Predict Bob's years of completed education using the estimated regression. Bob's predicted years of education completed is 13.61 (Round your response to two decimal places) John's high school was 48 miles from the nearest college. Predict John's years of completed education using the estimated regression. John's predicted years of education completed is 13.54. (Round your response to two decimal places) Compute the A for the regression above. The R for the regression above is 0.0060 (Round your response to four decimal places) Does distance to college explain a large fraction of the variance in educational attainment across individuals? OA. YOS. B. NO. Compute the value of the standard error of the regression and specify its units. The standard error of the regression (SER) is (Round your response to four decimal places)In this exercise, you will use these data to investigate the relationship between the number of completed years of education for young adults and the distance from each student's high school to the nearest fouryear college. (Proximity lowers the cost of education. so that students who live closer to a fouryear college should, on average, complete more years of higher education.) The following table contains data from a random sample of high school seniors interviewed in 1980 and re-interviewed in 1986. Download the data from the table by clicking the download table icon CI . A detailed description of the variables used in the dataset is available here 0 . Use a statistical package of your choice to answer the following questions. Suppose you are interested in estimating the following model ED=0+1Dist+u Variable Definitions Variable Definition Dist Distance from 4yr College in 10's of miles. Years of Education Completed. Rouse computed years of education by assigning 12 years to all members of the senior class. Each additional year of secondary Ed education counted as a one year. Students with vocational degrees were assigned 13 years, AA degrees were assigned 14 years, BA degrees were assigned 16 years, those with some graduate education were assigned 17 years, and those with a graduate degree were assigned 18 years