The dataset problem1.xlsx contains data used in a study related to wages and characteristics of an individual. The variables included in the dataset are: Variables Description wage Yearly salary in unit of USD grad Dummy variable taking a value 1 if an individual has a college degree paredu Average of the mother's and father's years of education exper Years of individual professional experience male Dummy variable taking value 1 if an individual is a male Estimate the following regression model and answer the questions asked. LN(wage) = 0 1grad 2paredu 3exper 4male (Please remember to take a natural logarithm of wage before you run a regression) (a) (2 points) Report and interpret coefficients on paredu and exper, (i.e., coefficients 2 and 3). 2 = - 0.01385 (Paredu) with every unit increase in paraedu, there will be 0.01385 USD decrease in the total wage based on their parent edu 3 = 0.060926 (exper) with every unit increase in experience, there will be 0.060926 increase to the total wage than with no experience (b) (2 points) Report and interpret coefficient 0. coeff of 0 = 9.930