The interpretation of regression coefficients depends on the type of regression model used:
Linear regression: Coefficients represent the mean change in the dependent variable for a one-unit change in the predictor. Logistic regression: Coefficients indicate the log odds of the outcome occurring for a one-unit change in the predictor, which can be exponentiated to yield odds ratios. Cox proportional hazards model: Coefficients correspond to the log of the hazard ratio, showing the relative risk of the event occurring over time.
