I need help soon as possible II Analytical3. Following the regression output for a data from a random sample of high school seniors in-terviewed in 1980 and re-interviewed in 1986. In this exercise, we use these data to investigatethe relationship between the number of completed years of education for young adults and thedistance from each student's high school to the nearest four-year college. (Proximity to college.lowers the cost of education, so that students who live closer to a four-year college should, onaverage, complete more years of higher education.) Below are the results of a regression of yearsof completed education (ED) on distance to the nearest college (Dist), where Dist is measuredin tens of miles. (For example, Dist = 2 means that the distance is 20 miles.)Dependent Variable: EDSample: 1 3796Method: Least SquaresIncluded observations: 3796VariableStd. ErrorCDISTR-squaredAdjusted R-squaredS.E. of regressionSum squared residLog likelihoodF-statisticCoefficient13.95586 0.037724-0.0733730.013750.007450.0071881.80743812394.36-7632.18228.47582Prob(F-statistic)0(a) Write the regression model using these results.Mean dependent varS.D. dependent varAkaike info criterionSchwarz criterionHannan-Quinn criter.Durbin-Watson stat.t-Statistic369.9451 0-5.3362740(c) Write the mathematical formula for -5.336274Prob.13.829291.8139694.0222244.0255134.0233931.768991(b) Write the mathematical formula for the intercept and the slope and the associated valuesfrom the above estimates.(d) Bob's high school was 20 miles from the nearest college. Predict Bob's years of completededucation using the estimated regression.(e) Does distance to college explain a large fraction of the variance in educational attainmentacross individuals? Explain.

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II Analytical 3. Following is the regression output for a data from a random sample of high school seniors in- terviewed in 1980 and re-interviewed in 1986. In this exercise, we 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 four-year college. (Proximity to college lowers the cost of education, so that students who live closer to a four-year college should, on average, complete more years of higher education.) Below are the results of 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 Dependent Variable: ED 2 means that the distance is 20 miles.) Sample: 1 3796 Method: Least Squares Included observations: 3796