So I'm trying to study for an exam and I'm not sure how to interpret this probit regression I ran on STATA. The data is on loan approval and white is a dummy variable that =1 if a person was white, and =0 if the person was not. Any help on how to read this would be greatly appreciated. What I'm mostly looking for is how to find the estimated probability of loan approval for both whites and nonwhites. Can someone also help me with the text on here and how to make it normal?? I'm sorry I don't know how to do this. . probit approve white Iteration 0: log likelihood = -740.34659 Iteration 1: log likelihood = -701.33221 Iteration 2: log likelihood = -700.87747 Iteration 3: log likelihood = -700.87744 Probit regression Number of obs = 1989 LR chi2(1) = 78.94 Prob > chi2 = 0.0000 Log likelihood = -700.87744 Pseudo R2 = 0.0533 ------------------------------------------------------------------------------ approve | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- white | .7839465 .0867118 9.04 0.000 .6139946 .9538985 _cons | .5469463 .075435 7.25 0.000 .3990964 .6947962 ------------------------------------------------------------------------------