I am trying to run a linear regression with both categorical and continuous predictors. I have coded the categorical predictor (with three levels) into three dummy variables, and entered the two dummy variables into the regression along with the continuous predictors. My question is: How do I interpret the beta coefficients of the categorical predictors? I can interpret the other beta coefficients from the continuous predictors as "_% of the variance in x can be explained by y" but I am not sure how to interpret the beta from the categorical predictors. The t statistic for both of my dummy variables were significant, but I'm having difficulty interpreting it in the context of the full regression. Any help would be appreciated!