Interpreting regression coefficients depends on the type of regression model used:
In Linear Regression, the coefficients represent the change in the outcome variable for a one-unit change in the predictor variable. In Logistic Regression, the coefficients are in log-odds and need to be exponentiated to interpret as odds ratios. In Cox Proportional Hazards, the coefficients represent the hazard ratio, indicating the risk of the event occurring at any time point.