There has been much debate about the impact of minimum wages on employment and unemployment. while most of the focus has been on the employment-to-population ratio of teenagers, you decide to check if aggregate state unemployment rates have been affected. your idea is to see if state unemployment rates for the 48 contiguous u. s. states in 1985 can predict the unemployment rate for the same states in 1995, and if this prediction can be improved upon by entering a binary variable for "high impact" minimum wage states. one labor economist labeled states as high impact if a large fraction of teenagers was affected by the 1990 and 1991 federal minimum wage increases. your first regression results in the following output: u 95 = 3.19 +0.27 x ur 85, r2=0.21, ser=1.031 (0.56) (0.07) 9. sketch the regression line and add a 45 dgree line to the graph. interpret the regression results. what would the interpretation be if the fitted line coincided with the 45dgree line? 10. adding the binary variable dhiimpact by allowing the slope and intercept to differ, results in the following fitted line: ur ? = 4.02 + 0.16 x ur85-3.25 dhilmpact +0.38 (dhilmpactx ur $5), (0.66) (0.09) (0.89) (0.11) r2 = 0.31, ser=0.987 the f-statistic for the null hypothesis that both parameters involving the high impact minimum wage variabl are zero, is 42.16. can you reject the null hypothesis that both coefficients are zero? sketch the two regressic lines together with the 45dgree line and interpret the results again.