please can you answer this question

Question 4 There is large body of literature arguing that females are paid less than males for the same job. To test this hypothesis, we estimate Model 4.1 below using a dummy variable GENDER, such that if individual is a male GENDER - 1. otherwise it is equal to 0. Adding this dummy into Model 2.1 yields the results presented below. Model 4.1: OUS, using observations 1-49 Dependent variable: 1 HAGE coefficient Std. Error E-ratio B-value Const 6. 62642 0. 9429376 154.1 40. 8001 WAGE 2.016860-05 20. 23 10. 8901 EDUC 2109185880 0303 64163 2. 5104 0. 60124 EXPER 2 80156716 2-80134956 1, 161 0. 2519 AGE .090418516 8.080747416 9. 5608 05784 GENDER 0.8996242 0. 8249823 Mean dependent var 74 454952 S. D. dependent van 2. 312741 Sum squared resis S. E. of regression 0. 046899 R-squared 8. 973854 Adjusted R-squared 9. 977511 F (5, 43) 418. 0841 2. 759- 35 Log-likelihood 83 . 60822 Akaike criterion -195 .2804 Schwarz criterion 143 .8495 Hannan-Quinn -150.8939 1 . Using the output given in Model 4.1, explain if there is gender pay bias in favour of males with a graphical illustration and test if this is statistically significant stating your procedure (35 marks) 2 Define the following terms, give an example where appropriate Log-log model ii) Lag dependent variable model Auto-regressive model (30 marks) How can we correct for the auto-correlation problem, outline a procedure stating clearly each step of the procedure. (20 marks) How can we estimate the following non-linear model using OLS? Present the model in the required format for OLS estimation and provide an explanation of the interpretation of the B and (15 marks y = Arzexpo()