How to Interpret the Coefficients in Multiple Linear Regression?

In MLR, each coefficient represents the change in the dependent variable for a one-unit change in the corresponding independent variable, holding all other variables constant. For instance, in an MLR model examining heart disease, the coefficient for cholesterol level indicates how much heart disease risk changes with each unit increase in cholesterol, assuming other factors like age and smoking are held constant.