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Underestimating demand b overestimating demand c we

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Unformatted text preview: al variation 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. first-order autocorrelation B. smoothing constants C. Durbin-Watson D. multiplicative decomposing AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 5 Topic: Exponential Smoothing 68. The Durbin-Watson statistic is used to detect ____. A. first-order 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 1-1602 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 1-1603 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 1-1604 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 1-1605 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 1-1606 Chapter 01 - An Introduction to Business Statistics 81. The Consumer Price Index...
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This document was uploaded on 01/20/2014.

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