The meaning of these gradients depends completely on our assumptions about the relationship between the variables being studied. For correlational data, the gradient indicates how much we would expect the dependent variable to change, on average, if we observe a one unit difference for the independent variable. For example, if Alice is one inch taller than Betty, we would predict Alice’s adult daughter to be 0.33 inches taller than Betty’s adult daughter.
