In this​ exercise, you will investigate the relationship between a​ worker's age and earnings.​ (Generally, older workers have more job​ experience, leading to higher productivity and​ earnings.) The following table contains data for​ full-time, full-years​ workers, age​ 25-34, with a high school diploma or​ B.A./B.S. as their highest degree. Download the data from the table by clicking the download table icon . A detailed description of the variables used in the dataset is available here LOADING.... Use a statistical package of your choice to answer the following questions. Part 2 Suppose you are interested in estimating the following model Ahe​ = beta 0 ​+ beta 1Age ​+ u Run a regression of average hourly earnings ​(AHE​) on age ​(Age​). Part 3 What is the estimated intercept ModifyingAbove beta with caret 0​? The estimated intercept ModifyingAbove beta with caret 0 is

enter your response here. College Distance Ahe Age 23.504274370 34 15.000000000 25 23.076923370 32 22.035257340 31 18.376068120 28 9.615385056 27 16.826923370 34 23.557691570 27 4.807692528 30 6.250000000 30 34.134616850 31 7.211538315 32 19.230770110 28 8.173076630 29 22.898033140 31 12.740385060 33 11.538461690 32 29.572649000 33 10.439560890 26 18.269229890 27 29.807691570 33 27.736686710 28 14.423076630 26 21.634614940 27 14.423076630 30 14.423076630 31 15.384614940 28 13.461538310 25 45.192306520 31 21.634614940 29 34.188034060 30 19.230770110 29 10.576923370 32 12.019230840 31 24.038461690 34 26.442308430 29 16.826923370 28 19.230770110 28 18.269229890 34 16.826923370 28 14.903845790 30 20.192308430 26 5.161538601 31 6.250000000 26 33.906730650 30 12.692307470 28 32.779720310 33 25.000000000 32 10.096154210 30 14.022436140 28 32.967033390 31 22.115385060 26 12.500000000 27 34.285713200 28 34.188034060 28 22.727272030 34 22.269229890 33 6.677350521 34 18.750000000 31 28.846153260 29 19.230770110 29 8.173076630 32 14.423076630 27 38.461540220 34 12.019230840 27 28.365385060 29 21.634614940 31 11.224490170 31 21.154808040 33 10.989010810 34 5.769230843 30 24.519229890 30 9.615385056 29 7.692307472 25 15.384614940 27 26.709402080 28 15.384614940 31 18.028846740 33 12.500000000 28 12.019230840 28 8.653845787 26 8.653845787 26 13.942307470 26 9.518259048 31 38.461540220 33 12.699999810 31 11.057692530 30 15.000000000 30 8.413461685 31 19.230770110 30 19.230770110 32 38.461540220 29 12.500000000 27 40.865383150 34 17.307691570 30 14.423076630 25 19.230770110 25 11.153845790 30 28.846153260 34 19.230770110 25