The valuation of damages is designed to put the harmed party back into the same economic position that would have existed if the harm had not occurred. The most difficult part of that equation is to project the economic conditions one would have expected without the harm. An analysis of historical results is often used to assist in making that forecast. In my last blog post, I discussed the pros and cons of four of the most commonly used methods to analyze a series of events, namely the mean, the median, exponential smoothing and regression analysis. This post will present two examples and show how each method impacts the damages calculation under each.