Experimental Pricing As an Approach to Demand Analysis 29 THE GENERAL DEMAND FUNCTION Reference to the final form of the statistical model shows that the estimated general demand function evolving from the analysis was given by: Y' = 5.71766 5.584685X', + 2.120746X'io. Since price elasticity of demand for this function is expressed by Np = -5.584685 + 4.241492X%9,28 estimated demand elasticity was clearly a function of price. It may further be observed that, beginning with the lowest test price, demand elasticity decreased as price increased over the entire range of prices tested. Moving from lower to higher prices, demand changed from an elastic to an inelastic relation- ship at the pivotal price of about 12.050 per 6-ounce can of con- centrate. That is, the demand function was found to have uni- tary elasticity at an estimated price of about 12.05.29 Estimated demand elasticity at the various test prices obviously would be either elastic or inelastic depending upon whether a particular test price was higher or lower than the estimated price associated with unitary elasticity. A demand relationship of the foregoing nature is character- ized by a revenue function convex to the origin with minimum revenue occurring at the price corresponding to the point of unitary elasticity on the demand curve.30 If Y = 5.71766 5.584685X + 2.120746X'0, then dY Y -5.584685 + 4.241492X' dY y[ -5.584685 + 4.241492X9 dX X From the definition of price elasticity of demand, Np = X. ,the SdX Y equation for estimating demand elasticity becomes N [-5.584685 + 4.241492X X, or Np = -5.584685 + 4.241492X9. :X Y "2The slight discrepancy between the estimated price associated with unitary demand elasticity as given in Florida Experiment Station Bulletin 589 and the estimate appearing in this report arises because in the former the iis were included in the model. If the demand function in terms of logarithms is given by Y' = 5.71766 5.584685X's + 2.120746X'1o, then the revenue function expressed in logarithms would be equivalent to R' = 5.71766 4.584685X', + 2.120746X'io. Because R' is a monotonic function of R (total revenue), maximum or