a) Using exponential smoothing, with a = .6, then trend analysis, and finally linear regression, discuss which forecasting model fits best for Boulanger's strategic plan. Justify the selection of one model over another. b) Carefully examine the data. Can you make a case for exclud- ing a portion of the information? Why? Would that change your choice of model? PX

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
icon
Related questions
Question
•..• 4.34 Boulanger Savings and Loan is proud of its long tra-
dition in Winter Park, Florida. Begun by Michelle Boulanger
22 years after World War II, the S&L has bucked the trend of
financial and liquidity problems that has repeatedly plagued
the industry. Deposits have increased slowly but surely over the
years, despite recessions in 1983, 1988, 1991, 2001, and 2010. Ms.
Boulanger believes it is necessary to have a long-range strategic
plan for her firm, including a 1-year forecast and preferably even
a 5-year forecast of deposits. She examines the past deposit data
and also peruses Florida's gross state product (GSP) over the same
44 years. (GSP is analogous to gross national product [GNP] but
on the state level.) The resulting data are in the following table.
YEAR
DEPOSITS?
GSPb
YEAR
DEPOSITS?
GSpb
1
.25
.4
13
.50
1.2
.24
.4
14
.95
1.2
.24
.5
15
1.70
1.2
4
.26
.7
16
2.3
1.6
.25
.9
17
2.8
1.5
.30
1.0
18
2.8
1.6
7
.31
1.4
19
2.7
1.7
8
.32
1.7
20
3.9
1.9
9.
.24
1.3
21
4.9
1.9
10
.26
1.2
22
5.3
2.3
11
.25
1.1
23
6.2
2.5
12
.33
.9
24
4.1
2.8
(continued)
io io
Transcribed Image Text:•..• 4.34 Boulanger Savings and Loan is proud of its long tra- dition in Winter Park, Florida. Begun by Michelle Boulanger 22 years after World War II, the S&L has bucked the trend of financial and liquidity problems that has repeatedly plagued the industry. Deposits have increased slowly but surely over the years, despite recessions in 1983, 1988, 1991, 2001, and 2010. Ms. Boulanger believes it is necessary to have a long-range strategic plan for her firm, including a 1-year forecast and preferably even a 5-year forecast of deposits. She examines the past deposit data and also peruses Florida's gross state product (GSP) over the same 44 years. (GSP is analogous to gross national product [GNP] but on the state level.) The resulting data are in the following table. YEAR DEPOSITS? GSPb YEAR DEPOSITS? GSpb 1 .25 .4 13 .50 1.2 .24 .4 14 .95 1.2 .24 .5 15 1.70 1.2 4 .26 .7 16 2.3 1.6 .25 .9 17 2.8 1.5 .30 1.0 18 2.8 1.6 7 .31 1.4 19 2.7 1.7 8 .32 1.7 20 3.9 1.9 9. .24 1.3 21 4.9 1.9 10 .26 1.2 22 5.3 2.3 11 .25 1.1 23 6.2 2.5 12 .33 .9 24 4.1 2.8 (continued) io io
YEAR
DEPOSITS
GSP6
YEAR
DEPOSITSa
GSP6
25
4.5
2.9
35
31.1
4.1
26
6.1
3.4
36
31.7
4.1
27
7.7
3.8
37
38.5
4.0
28
10.1
4.1
38
47.9
4.5
29
15.2
4.0
39
49.1
4.6
30
18.1
4.0
40
55.8
4.5
31
24.1
3.9
41
70.1
4.6
32
25.6
3.8
42
70.9
4.6
33
30.3
3.8
43
79.1
4.7
34
36.0
3.7
44
94.0
5.0
a In $ millions.
b In $ billions.
a) Using exponential smoothing, with a = .6, then trend analysis,
and finally linear regression, discuss which forecasting model
fits best for Boulanger's strategic plan. Justify the selection of
one model over another.
b) Carefully examine the data. Can you make a case for exclud-
ing a portion of the information? Why? Would that change
your choice of model? PX
Transcribed Image Text:YEAR DEPOSITS GSP6 YEAR DEPOSITSa GSP6 25 4.5 2.9 35 31.1 4.1 26 6.1 3.4 36 31.7 4.1 27 7.7 3.8 37 38.5 4.0 28 10.1 4.1 38 47.9 4.5 29 15.2 4.0 39 49.1 4.6 30 18.1 4.0 40 55.8 4.5 31 24.1 3.9 41 70.1 4.6 32 25.6 3.8 42 70.9 4.6 33 30.3 3.8 43 79.1 4.7 34 36.0 3.7 44 94.0 5.0 a In $ millions. b In $ billions. a) Using exponential smoothing, with a = .6, then trend analysis, and finally linear regression, discuss which forecasting model fits best for Boulanger's strategic plan. Justify the selection of one model over another. b) Carefully examine the data. Can you make a case for exclud- ing a portion of the information? Why? Would that change your choice of model? PX
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 5 steps with 8 images

Blurred answer
Knowledge Booster
Forecasting methods
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, operations-management and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
Practical Management Science
Practical Management Science
Operations Management
ISBN:
9781337406659
Author:
WINSTON, Wayne L.
Publisher:
Cengage,
Operations Management
Operations Management
Operations Management
ISBN:
9781259667473
Author:
William J Stevenson
Publisher:
McGraw-Hill Education
Operations and Supply Chain Management (Mcgraw-hi…
Operations and Supply Chain Management (Mcgraw-hi…
Operations Management
ISBN:
9781259666100
Author:
F. Robert Jacobs, Richard B Chase
Publisher:
McGraw-Hill Education
Business in Action
Business in Action
Operations Management
ISBN:
9780135198100
Author:
BOVEE
Publisher:
PEARSON CO
Purchasing and Supply Chain Management
Purchasing and Supply Chain Management
Operations Management
ISBN:
9781285869681
Author:
Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson
Publisher:
Cengage Learning
Production and Operations Analysis, Seventh Editi…
Production and Operations Analysis, Seventh Editi…
Operations Management
ISBN:
9781478623069
Author:
Steven Nahmias, Tava Lennon Olsen
Publisher:
Waveland Press, Inc.