Below I will list some regressions and regression results. Please draw the predicted values for all of the different groups. You do not have to plot them out perfectly. You only have to get the signs, general shape, and relative magnitudes of the coefficients correct

(2) Below I will list some regressions and regression results. Please draw the predicted values for all of the different groups. You do not have to plot them out perfectly. You only have to get the signs, general shape, and relative magnitudes of the coefficients correct. (a) Commute; = 10 +.02Income; + 15Suburb; +e; Commute; - The length of person is commute in minutes Income; - Person i's income Suburb; - 0 if person i lives in the city and 1 if they live in a suburb (b) Sales; = 6000 + 5Advertisingi .0002 Advertising + 5000 Public; + ei Sales; - The monthly sales for business i Advertisingi - Monthly expenditure on advertising for business i Public; - 0) if company i is privately owned and 1 if it is publicly owned c) Deer; = 10000 7001n(Permits;) +e Deer- Deer population after hunting season in county i Permits; - Number of permits granted for hunting season in county i (2) Below I will list some regressions and regression results. Please draw the predicted values for all of the different groups. You do not have to plot them out perfectly. You only have to get the signs, general shape, and relative magnitudes of the coefficients correct. (a) Commute; = 10 +.02Income; + 15Suburb; +e; Commute; - The length of person is commute in minutes Income; - Person i's income Suburb; - 0 if person i lives in the city and 1 if they live in a suburb (b) Sales; = 6000 + 5Advertisingi .0002 Advertising + 5000 Public; + ei Sales; - The monthly sales for business i Advertisingi - Monthly expenditure on advertising for business i Public; - 0) if company i is privately owned and 1 if it is publicly owned c) Deer; = 10000 7001n(Permits;) +e Deer- Deer population after hunting season in county i Permits; - Number of permits granted for hunting season in county