# demand estimation

## demand estimation

• Submitted By: Bi-Qiang
• Date Submitted: 10/31/2014 6:35 AM
• Category: Business
• Words: 1025
• Page: 5

You work for Price Waterman Coopers as a market analyst. PWC has been hired by the owner of two Burger King restaurants located in a suburban Atlanta market area to study the demand for its basic hamburger meal package–referred to as “Combination 1" on its menus. The two restaurants face competition in the Atlanta suburb from five other hamburger restaurants (three MacDonald’s and two Wendy’s restaurants) and three other restaurants serving “drive-through” fast food (a Taco Bell, a Kentucky Fried Chicken, and a small family-owned Chinese restaurant).

The owner of the two Burger King restaurants provides PWC with the data shown in Table 1 (Table 1 is in a separate excel file). Q is the total number of Combination 1 meals sold at both locations during each week in 1998. P is the average price charged for a Combination 1 meal at the two locations. [Prices are identical at the two Burger King locations.] Every week the Burger King owner advertises special price offers at its two restaurants exclusively in daily newspaper advertisements. A is the dollar amount spent on newspaper ads for each week in 1998. The owner could not provide PWC with data on prices charged by other competing restaurants during 1998. For the one-year time period of the study, household income and population in the suburb did not change enough to warrant inclusion in the demand analysis.

a) Using the data in Table 1, specify a linear functional form for the demand for Combination 1
meals, and run a regression to estimate the demand for Combo 1 meals.

Q= a + bP + cA + error

b) Using statistical software, estimate the parameters of the empirical demand function specified in
part a. Write your estimated demand equation for Combination 1 meals.
Q= 100626.05 - 16392.75P + 1.576A + Error

c) Evaluate your regression results by examining signs of parameters, t-value, p-values, R-square and F-value.

First of all, by using observed data running regression, the estimated b...