Plot the regression relation betweenAgeand ln(AHE) from(b),(c), and (d)for males with a high school diploma. Describe the similarities and differences between the estimated regression functions. Would your answer change if you plotted the regression function for females with college degrees?

b)

Dependent Variable: LOG(AHE)
Method: Least Squares
Date: 05/11/24 Time: 08:21
Sample: 1 7440
Included observations: 7440
Variable	Coefficient	Std. Error	t-Statistic	Prob.
C	1.941423	0.058683	33.08333	0.0000
AGE	0.025518	0.001953	13.06717	0.0000
FEMALE	-0.192338	0.011345	-16.95340	0.0000
BACHELOR	0.437783	0.011236	38.96350	0.0000
R-squared	0.196384	Mean dependent var	2.849075
Adjusted R-squared	0.196060	S.D. dependent var	0.533362
S.E. of regression	0.478226	Akaike info criterion	1.363073
Sum squared resid	1700.617	Schwarz criterion	1.366790
Log likelihood	-5066.630	Hannan-Quinn criter.	1.364350
F-statistic	605.7259	Durbin-Watson stat	1.935891
Prob(F-statistic)	0.000000

C)

Dependent Variable: LOG(AHE)
Method: Least Squares
Date: 05/05/24 Time: 19:18
Sample: 1 7440
Included observations: 7440
Variable	Coefficient	Std. Error	t-Statistic	Prob.
C	0.149532	0.194364	0.769337	0.4417
LOG(AGE)	0.752941	0.057337	13.13190	0.0000
FEMALE	-0.192356	0.011344	-16.95694	0.0000
BACHELOR	0.437664	0.011234	38.95730	0.0000
R-squared	0.196563	Mean dependent var	2.849075
Adjusted R-squared	0.196239	S.D. dependent var	0.533362
S.E. of regression	0.478173	Akaike info criterion	1.362850
Sum squared resid	1700.238	Schwarz criterion	1.366567
Log likelihood	-5065.801	Hannan-Quinn criter.	1.364127
F-statistic	606.4135	Durbin-Watson stat	1.935742
Prob(F-statistic)	0.000000

d)

Dependent Variable: LOG(AHE)
Method: Least Squares
Date: 05/11/24 Time: 08:59
Sample: 1 7440
Included observations: 7440
Variable	Coefficient	Std. Error	t-Statistic	Prob.
C	0.791882	0.669950	1.182001	0.2372
AGE	0.104045	0.045631	2.280121	0.0226
AGE^2	-0.001328	0.000771	-1.722480	0.0850
FEMALE	-0.192398	0.011344	-16.96091	0.0000
BACHELOR	0.437412	0.011236	38.92845	0.0000
R-squared	0.196705	Mean dependent var	2.849075
Adjusted R-squared	0.196273	S.D. dependent var	0.533362
S.E. of regression	0.478163	Akaike info criterion	1.362942
Sum squared resid	1699.939	Schwarz criterion	1.367589
Log likelihood	-5065.146	Hannan-Quinn criter.	1.364539
F-statistic	455.1563	Durbin-Watson stat	1.935372
Prob(F-statistic)	0.000000