Anders Hardware Forecasting Exam Practice - Solutions
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Forecasting Exam Practice: Anders Hardware
Anders Hardware wants to improve their demand forecasting for two key products: hammers and snow shovels. The demand information is shown in the tables and graphs below. Answer each question using the available information and the forecasting techniques taught in class.
0
2
4
6
8
10
12
0
2
4
6
8
10
12
Hammer Demand
What components of demand are visible in the graph for hammer demand?
Trend, Level, Randomness
What forecasting methods would be appropriate given the components of demand?
Holt’s Model
Use the table below to forecast demand for the next period using a 2-period moving average approach and report on the error. Use the measure of error that is most appropriate when the cost of forecast error is proportional to the size of the error.
Period
Demand
Forecast
Et
At
0
99.20756
1
106.3515
2
113.343
102.7795
-10.5634
10.56344
3
113.2953
109.8472
-3.44813
3.448135
4
116.3856
113.3191
-3.06642
3.06642
5
127.2075
114.8405
-12.367
12.36704
6
131.4063
121.7965
-9.60974
9.60974
7
131.2359
129.3069
-1.92901
1.92901
8
142.6361
131.3211
-11.315
11.31501
9
141.0566
136.936
-4.12057
4.120567
10
153.6678
141.8463
-11.8215
11.82149
11
147.3622 MAD
7.582316
0
2
4
6
8
10
12
0
2
4
6
8
10
12
Snow Shovel Demand
What components of demand are visible in the graph for snow shovel demand?
Trend, Level, Randomness, Seasonality
What forecasting methods would be appropriate given the components of demand?
Winter’s Method
Use the table below to forecast demand for the next period using a 4-period moving average approach and report on the error. Use the measure of error that is most appropriate when there is significant seasonality and demand variation.
Period
Seasonal Demand
Forecast
Et
At
%
0
131.1069029
1
191.5931851
2
102.7475697
3
84.37333392
4
157.164559
127.4552479
-29.7093
29.70931
18.90%
5
225.5766034
133.9696619
-91.6069
91.60694
40.61%
6
113.3893969
142.4655165
29.07612
29.07612
25.64%
7
98.4675411
145.1259733
46.65843
46.65843
47.38%
8
178.3187349
148.6495251
-29.6692
29.66921
16.64%
9
258.5521805
153.9380691
-104.614
104.6141
40.46%
10
135.2311426
162.1819634
26.95082
26.95082
19.93%
11
167.6423998
MAPE
29.94%
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Related Questions
The table below shows the demand for a particular brand of fax machine in a
department store in each of the last twelve months.
12
Month
Demand 12 15 19
5
6
7
23 27 30 32 33 37
3 4
8 9 10 11 12
41 49 58
a) Calculate the four month. What would be your forecast for the demand in month
13?
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Attempts
9. Exercise 3.9
The Sydney Transportation Company operates an urban bus system in New South Wales, Australia. Economic analysis performed by the firm indicates
that two major factors influence the demand for its services: fare levels and downtown parking rates. Table 1 presents information available from 2005
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Table 1
Average Daily Transit Riders Average Downtown Round-Trip Fare Parking Rate
Year
2006
2007
Average / 1
(2005)
5,000
(Dollars)
1.00
1.25
(Dollars)
1.00
Table 2
Round-Trip Fare Average Parking Rates
(Dollars)
2.50
2.50
(Dollars)
1.50
Sydney's economists supplied the following information so that the firm can estimate ridership. Based on past experience, the coefficient of cross
elasticity between bus ridership and downtown parking rates is estimated at 0.2, given a fare of $1.00 per round trip. This is not expected to change
for a fare increase to $1.25. The price elasticity of…
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Note:-
Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism.
Answer completely.
You will get up vote for sure.
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The following table shows worldwide sales of a certain type of cell phone and their average selling prices in 2012 and 2013.
Year
2012
2013
Selling Price ($)
Sales (millions) 928 1,144
375
335
(a) Use the data to obtain a linear demand function for this type of cell phone. (Let p be the price, and let q be the demand).
q(p): -5.4p + 3185
X
Use your demand equation to predict sales if the price is lowered to $255.
1808
x million phones
(b) Fill in the blank.
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e
Price
-Q₁ Quantity
Which of the following scenarios is BEST represented in the graph?
A number of sellers increase
B decrease in government taxes
C resource costs increase
D technology improves
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I have completed the two supply and demand shifts on the graphs shown in the screenshots. However, I wasn't sure if I made those adjustments correctly. Could you please confirm my accuracy with those charts and explain why they are or are not correct?
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This function is:
QT = 200 -.01PT +.005PM -10PG +.01I +.003A
Where:
QT = quantity purchased
PT = average price of Toyotas
PM = average price of Mazdas
PG = price of gasoline
I = per capita income
A = dollars spent annually on advertising
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Use the graph input tool to help you answer the following questions. You will not be graded on any changes you make to this graph.
Note: Once you enter a value in a white field, the graph and any corresponding amounts in each grey field will change accordingly.
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Graph Input Tool
Market for Keyboards
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Quantity Demanded
(Keyboards)
Quantity Supplied
(Keyboards)
The equilibrium price in this market is
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Rs.230 70
210 90
190 110
170 130
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good. The results of the estimation are presented below:
DEPENDENT VARIABLE: Q
OBSERVATIONS:
32
R-SQUARE
0.7984
F-RATIO
P-VALUE ON F
36.14
0.0001
PARAMETER
VARIABLE
ESTIMATE
STANDARD
ERROR
T-RATIO
P-VALUE
INTERCEPT
846.30
76.70
11.03
0.0001
P
-8.60
2.60
-3.31
0.0026
M
0.0184
0.0048
3.83
0.0007
PR
-4.3075
1.230
-3.50
0.0016
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5.
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e quantity is in million units.
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) Use the line drawing tool to draw and label these demand and supply lines in the graph at right.
) Use the point drawing tool to plot and label the equilibrium point.
arefully follow the instructions above, and only draw the required objects.
Price ($)
18.00-
16.00-
14.00-
12.00-
10.00-
8.00-
6.00-
4.00-
2.00-
0.00+
0.0
1.0
2.0
3.0
Quantity (million units)
4.0
5.0
Q
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What is the range of possible prices you want to include? This could be from zero to some higher number.
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These parameters can be made up, but should bear some connection to reality.
EXAMPLE
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r(p)
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com/courses/26116/discussion_topics/176523?module_item_id%3D1255293
LTaJtiCTty arna
Topic
According to the law of supply, if buyers are willing to pay more, sellers are willing to supply more. The price elasticity
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←
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The following graph shows the annual market for Florida oranges, which are sold in units of 90-pound boxes.
Use the graph input tool to help you answer the following questions. You will not be graded on any changes you make to this graph.
Note: Once you enter a value in a white field, the graph and any corresponding amounts in each grey field will change accordingly.
PRICE (Dollars per box)
50
45
40
35
20
15
10
5
0
+1+4+
Demand
Ď
Lll
|
|
||
||
Supply
0 90 180 270 360 450 540 630 720 810 900
QUANTITY (Millions of boxes)
In this market, the equilibrium price is
Graph Input Tool
Market for Florida Oranges
Price
(Dollars per box)
Quantity
Demanded
(Millions of boxes)
20
486
per box, and the equilibrium quantity of oranges is
Quantity Supplied
(Millions of boxes)
million boxes.
?
360
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