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C. seasonal variation
D. regular variation AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 4
Topic: Moving averages 67. Weighting in exponential smoothing is accomplished by the use of ____.
A. firstorder autocorrelation
B. smoothing constants
C. DurbinWatson
D. multiplicative decomposing AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 5
Topic: Exponential Smoothing 68. The DurbinWatson statistic is used to detect ____.
A. firstorder autocorrelation
B. exponential smoothing
C. multiplicative decomposing
D. irregular variation AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 2
Topic: Time series regression 11602 Chapter 01  An Introduction to Business Statistics 69. Periodic patterns in time series that repeat themselves within a calendar year or less are
referred to as ____.
A. constant variations
B. cyclical variations
C. seasonal variations
D. regular variations AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 1
Topic: Time series analysis 70. The basic difference between MAD and MSE is that MSE, unlike MAD, penalizes a
forecasting technique much more for _____ errors than for _____ errors.
A. large, small
B. small, large
C. small, zero
D. zero, large AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 6
Topic: Exponential Smoothing 71. When using simple exponential smoothing, the more recent the time series observation,
the _________ its corresponding weight.
A. larger
B. smaller
C. irregular
D. cyclical AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 5
Topic: Exponential Smoothing 11603 Chapter 01  An Introduction to Business Statistics 72. When deseasonalizing time series observation, we divide the actual time series
observation by its __________.
A. irregular factor
B. cyclical factor
C. seasonal factor
D. weighted aggregate factor AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 3
Topic: Deseasonalization 73. If a time series exhibits increasing seasonal variation, one approach is to first use a
______________ transformation that produces a transformed time series that exhibits
constant seasonal variation. Then, _________ variables can be used to model the time series
with constant seasonal variation.
A. autocorrelation, dummy
B. fractional power, dummy
C. fractional power, constant
D. autocorrelation, constant AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Hard
Learning Objective: 3
Topic: Seasonal variation 74. A simple index is obtained by dividing the current value of a time series by the value of a
time series in the _____ time period and by multiplying this ratio by 100.
A. base
B. final
C. current
D. shortest AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 9
Topic: Index numbers 11604 Chapter 01  An Introduction to Business Statistics 75. When preparing a price index based on multiple products, if the price of each product is
weighted by the quantity of the product purchased in a given period of time, the resulting
index is called ___________ price index.
A. Paasche
B. Weighted aggregate
C. Laspeyres
D. Cyclical (seasonal) AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 9
Topic: Index numbers 76. _______________ index is most useful if the base quantities provide a reasonable
representation of consumption patterns in succeeding time periods.
A. Paasche
B. Weighted aggregate
C. Laspeyres
D. Cyclical (seasonal) AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 9
Topic: Index numbers 77. In the multiplicative decomposition method, the centered moving averages provide an
estimate of trend x _____.
A. index
B. cycle
C. seasonal
D. irregular AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 4
Topic: Multiplicative decomposition 11605 Chapter 01  An Introduction to Business Statistics 78. A positive autocorrelation implies that negative error terms will be followed by
_________ error terms.
A. negative
B. positive
C. either negative or positive
D. irregular AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 2
Topic: Time series regression 79. A simple index is computed by using the values of one time series, while the _______
index is based on a "market basket" consisting of more than one time series.
A. weighted
B. aggregate
C. cyclical
D. trend AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 9
Topic: Index numbers 80. The Laspeyres index and the Paasche index are both examples of _________ aggregate
price indexes.
A. irregular
B. cyclical
C. trend
D. weighted AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 9
Topic: Index numbers 11606 Chapter 01  An Introduction to Business Statistics 81. The Consumer Price Index...
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This document was uploaded on 01/20/2014.
 Winter '14

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