Let's say I have a data set which looks like below and I'm running a linear model to predict income on two predictors.
date date-1 income region age mar apr 50 2 55 apr may 10 3 40 may jun 35 1 35 .... Income = B0 + B1(Region) + B2(Age)
Let's say that I get the following coefficients from the model. How would I interpret such results.
Est Intercept 130 Region 0.05 Age 0.10
So with a one month lag, how would I go about interpreting this model. What if it were a two month lag?