I'm currently doing research on optimal service pricing for a sales group using time series data.
They haven't done much formal data analysis before, but have ran some correlations on time series data that has not had its trend removed.
The result is that they are considering making management decision on this faulty data because the data has perfect correlation between the two variables when really there is no statistical relationship at all if you account for time and trend. It also turns out my boss did some of the analysis himself.
How do I explain my objections to this "data driven" analysis without completely undermining his work?