How would you interpret the coefficient ^2 in the regression model wage i=0+1 age i+2 education i+3 race i+i? Describe the rule either a human or a computer would use to choose the estimates of OLS coefficients ^0,^1, and ^2 in the regression model yi=0+1x1i+2x2i+i