9781118041581

(Nancy Kaufman) #1
selecting particular values of a and b. Suppose a 330 and b 1. With these
values, the demand equation becomes

[4.1]

We plot this demand equation in Figure 4.1. Notice that the demand curve lies
roughly along the scatter of observations. In this sense, the equation provides
a “reasonable fit” with past observations. However, the fit is far from perfect.
Table 4.2 lists Equation 4.1’s sales predictions quarter by quarter. For
instance, in the second column, the first quarter’s sales prediction (at a price
of $250) is computed as 330  250 80. The third column lists actual sales.
The fourth column lists the differences between predicted sales (column 2)

Q 330 1P.

136 Chapter 4 Estimating and Forecasting Demand

FIGURE 4.1
Four Years of Prices
and Quantities

The figure plots the
average number of
seats sold at different
average prices over the
last 16 quarters. A
“guesstimated”
demand curve also is
shown.

Average One-Way Fare

$270

260

250

240

230

220

Demand curve: Q = 330 – P

0 50 100 150
Number of Seats Sold per Flight

c04EstimatingandForecastingDemand.qxd 9/5/11 5:49 PM Page 136

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