As data geeks, there is nothing quite as thrilling as building a predictive model that nails the EXACT outcome of an event or client initiative. We even do it just for fun.
Take this past Sunday's Pittsburgh Marathon, for example. A group of us signed up to run, and then decided, "Let's try and predict the average finish time this year!" So, we built a simple model based on eight years' worth of race data and boldly published our prediction on our blog last week: that, based on the forecasted race-day temperature of 54 degrees, the average Pittsburgh Marathon finish time would be 4 hours and 33 minutes. This week, we've got the results.