Most useful forecasts include a range of likely outcomes It’s generally good to try and guess what the future will look like, so we can plan accordingly. How much will our new inventory cost? How many users will show up tomorrow? How much raw material will I need to buy? The first instinct we have is usual to look at historical averages; we know the average price of widgets, the average number of users, etc. If we’re feeling extra fancy, we might build a model, like a linear regression, but this...