Suppose I have the regression in R
lm(formula = income ~ ageQuartile * (numYearsWorking + numHoursPerWeekWorking))
and in R, I get results like:
Estimate (Intercept) 12.94520 ageqtile2 6.63428 ageqtile3 12.64004 numYearsWorking 4.25382 numHoursPerWeekWorking 17.98021 ageqtile2:numYearsWorking 9.98316 ageqtile3:numYearsWorking 12.81078 ageqtile2:numHoursPerWeekWorking 15.35733 ageqtile3:numHoursPerWeekWorking 20.34312
(these numbers are made up and probably dont make sense).
How do I interpret this? Say I wanted to predict the income of someone in the first age quartile; is that just
And how does this change as I want to examine different quartiles?