# Interpret Odds Ratios Logit Regression

I need help interpreting the results of a logit model. I have my code here for interpreting the odds ratio and partial effects of my model. I am able to interpret the results using continuous data, but I struggle with interpreting the model with categorical, like Schools, data. Any help is much appreciated. Thank you so much in advance!

• How do you interpret the coefficients for the continuous predictors? How would you interpret the coefficients for the categorical predictors if this were a linear model instead of logistic? – Dave Jan 13 at 19:47
• For the odds ratio I would say something along the lines of.... Holding other variables constant, when X increases by one unit, it is (a number) times more likely on Y. In other words, the odds of Y, as opposed to not Y, are (a number) - 1 higher than X increases by one unit. – afrketic Jan 13 at 19:51
• Now how would you interpret the categorical variable coefficients in a linear regression? – Dave Jan 13 at 19:58
• I'm not entirely sure but I would say something along the lines of.... Group X1 is the average difference in Y when X1 = 0. – afrketic Jan 13 at 20:12