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
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