Suppose you run the following regression: Yi = a+ BMi+ ci where Y denotes the standardized SAT score of person i and M; be an indicator equal to 1 if person z belongs to a minority, and 0 otherwise. You have data from a sample of students from your university. You load it into R, and run the regression, and get the following output: Call: Im(formula = score ~ minority, data = sample) Residuals : Min 10 Median 3Q Max -3.6700 -0.6754 0. 0043 0.6722 4.0304 Coefficients: Estimate Std. Error t value Pr(>Itl) (Intercept) 1.038206 0. 007292 142.38 Itl) (Intercept) 0.998960 0. 008165 122.339 Itl) (Intercept) 0. 998960 0.008165 122.339