earn 98 = 4.7 + 2.1train + 0.37earn96 +0.3educ -0.14age + 3 married where earn98 = labor market earnings in 1998, in thousands of dollars train =1 if the employee participated in the training program, and =0 otherwise earn96 = labor market earnings in 1996 (the year before the training program), in thousands of dollars educ = years of schooling age = age, in years married =1 if the employee is married, and =0 otherwise n = 1,200 R2 = 0.43 Using unrestricted regression adjustment, which of the following best represents the estimated equation with full interactions? earn 98 = 5.3 + 3.4train + 0.38earn96 + 0.34educ - 0.18age + 3.3married + 0.2 train- (earn96 - earn96 ) + 0.037 train- (educ - educ ) +0.055 train- (age - age) + 0.76 train- (married - married) earn 98 = 5.3 + 3.4train + 0.38earn96 + 0.34educ -0.18age + 3.3married + 0.2 train- (educ - educ ) + 0.037 train- (educ - educ) + 0.055 train. (educ - educ) + 0.76 train- (educ - educ) earn 98 = 5.3 + 3.4train + 0.38earn96 + 0.34educ - 0.18age + 3.3married + 0.2 earn96- (train - train ) + 0.037 educ. (train - train ) + 0.055 age- (train - train ) + 0.76 married- (train - train) earn 98 = 5.3 + 3.4train + 0.38earn96 +0.34educ -0.18age + 3.3married + 0.2 train- (earn96 - earn96) + 0.037 train- (earn96 - earn96) + 0.055 train. (earn96 - earn96) + 0.76 train- (earn96 - earn96) Using your answer from the preceding question, the estimated average treatment effect of the training program is Tura = Which of the following best represents the meaning of the estimated average effect of the training program? The training program led to a decrease in 1998 earnings of $380. The training program led to an increase in 1998 earnings of $3,400. The training program led to a decrease in 1998 earnings of $340. The training program led to an increase in 1998 earnings of $760