I'm working with some real world data and the regression models are yielding some counterintuitive results. Normally I trust the statistics but in reality some of these things can not be true. The main problem that I am seeing is that an increase in one variable is causing an increase in the response when, in fact in reality, they must be negatively correlated.
Is there a way to force a specific sign for each of the regression coefficients? Any R code to do this would be appreciated as well.
Thanks for any and all help!