You have looked at break-even calculations, scatter plots for estimating demand information, and trends in revenue. In each of these, you simplified the analysis to a straight line. This is useful, but sometimes these data are more complex. They may be a curved line, or instead of there being only one item for the slope, such as with variable costs, there may be several factors involved in the estimate. Demand, for example, may be based on price, convenience, or quality. How does a linear regression allow you to better estimate trends, costs, and other factors in complex situations?