Use the information below to answer Q15 to Q17. The researcher is interested in a nonlinear relationship between nettfa and age. The squared of age (denoted agesq) is incorporated in regression (3) and the regression output is shown below. nettfa = bo + bjinc + bage + byage2 + bamarr + bsmale + e (5) Dependent Variable: NETTFA Method: Least Squares Date: 08/23/22 Time: 20:14 Sample: 1 9275 Included observations: 9275 Variable Coefficient Std. Error t-Statistic Prob. AGE -2.292841 0.488756 -4.691178 0.0000 5 Strikethrough AGESQ 0.038548 0.005608 6.873641 0.0000 INC 1.051259 0.027311 38.49233 0.0000 MARR -10.03498 1.436685 -6.984818 0.0000 MALE 0.042643 1.618610 0.026345 0.9790 C 9. 151992 10.13077 0.903386 0.3663 R-squared 0.178077 Mean dependent var 19.07168 Adjusted R-squared 0.177634 S.D. dependent var 63.96384 S.E. of regression 58.00523 Akaike info criterion 10.95959 Sum squared resid 31186534 Schwarz criterion 10.96421 Log likelihood -50819.10 Hannan-Quinn criter. 10.96116 F-statistic 401.6431 Durbin-Watson stat 1.928681 Prob(F-statistic) 0.000000