Consider the following OLS regression line obtained from a random sample of 500 workers: log wage hat = 0.3 + 0.2 educ + 0.005 exper + 0.02 tenure (1), where wage is hourly wage (measured in dollars), educ is years of formal education, exper is years of labor market experience, and tenure is years with the current employer. Which of the following statements is correct? Group of answer choices According to equation (1), holding exper and tenure fixed, if education increases by 1%, wage will increase by 0.002. According to equation (1), if we choose two workers, A and B, and these workers have the same levels of experience and job tenure, but Worker A has one more year of formal education than Worker B, then we predict Worker A to have a wage 20% higher than Worker B. According to equation (1), holding exper and tenure fixed, the predicted difference in log(wage), due to another year of education, is 20. According to equation (1), holding exper and tenure fixed, another year of education is predicted to increase wage by 0.2%