EBK ECON: MACRO4
4th Edition
ISBN: 9781305562097
Author: MCEACHERN
Publisher: CENGAGE LEARNING - CONSIGNMENT
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Question
Chapter 4, Problem 4.7PA
A
To determine
The way in which the tax credits that were offered for the expenditures on home insulation would affect the world oil
B
To determine
The way in which the completed Alaskan oil pipeline would affect the world oil price.
C
To determine
The way in which the removal of the ceiling on the price of oil would affect the world oil price.
D
To determine
The way in which the discovery of oil in the North Sea would affect the world oil price.
E
To determine
The way in which the popularity of sport utility vehicles and minivans would affect the world oil price.
F
To determine
The way in which the decline in the use of nuclear power would affect the world oil price.
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Problem 2:
A manufacturer of computer workstations gathered average monthly sales figures from its 56 branch
offices and dealerships across the country and estimated the following demand for its product:
Q=+15,000-2.80P+150A+0.3P+0.35Pm+0.2Pc
(5,234) (1.29) (175) (0.12) (0.17) (0.13)
R²=0.68 SER 786 F=21.25
The variables and their assumed values are
P = Price of basic model = 7,000
Q==Quantity
A = Advertising expenditures (in thousands) = 52
P = Average price of a personal computer = 4,000
P.
Average price of a minicomputer = 15,000
Pe Average price of a leading competitor's workstation = 8,000
1. Compute the elasticities for each variable. On this basis, discuss the relative impact that each
variable has on the demand. What implications do these results have for the firm's marketing
and pricing policies?
2. Conduct a t-test for the statistical significance of each variable. In each case, state whether
a one-tail or two-tail test is required. What difference, if any, does it make to…
You are the manager of a large automobile dealership who wants to learn more about the effective-
ness of various discounts offered to customers over the past 14 months. Following are the average
negotiated prices for each month and the quantities sold of a basic model (adjusted for various
options) over this period of time.
1. Graph this information on a scatter plot. Estimate the demand equation. What do the
regression results indicate about the desirability of discounting the price? Explain.
Month
Price
Quantity
Jan.
12,500
15
Feb.
12,200
17
Mar.
11,900
16
Apr.
12,000
18
May
11,800
20
June
12,500
18
July
11,700
22
Aug.
12,100
15
Sept.
11,400
22
Oct.
11,400
25
Nov.
11,200
24
Dec.
11,000
30
Jan.
10,800
25
Feb.
10,000
28
2. What other factors besides price might be included in this equation? Do you foresee any
difficulty in obtaining these additional data or incorporating them in the regression analysis?
simple steps on how it should look like on excel
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