wage= B0 +B1(^2)educ+B2(^2)exper+B3(^2)height+u. The proposed model is

This is an example of a multiple regression model, which estimates the change in wage as a function of educational attainment, work experience, and height. The coefficients B0, B1, B2, and B3 represent the estimated changes in wage in relation to the differences in these variable levels. The variable u represents the unexplained variance in wage, which may be due to factors that are not explicitly defined in the model such as race, gender, job type, and others. In essence, the model describes the relationship between wage and the three main independent variables – educational attainment, work experience, and height.