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Unformatted text preview: eed ____ dummy variables. A. 5 B. 52 C. 4 D. 3 E. 365 AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 2 Topic: Time series regression 51. Based on the information given in the table above, we can conclude that in general the forecasting method is: A. Underestimating demand B. Overestimating demand C. We cannot determine whether the predictions based on this method's results in underestimation or overestimation of demand. AACSB: Reflective Thinking Bloom's: Analysis Difficulty: Medium Learning Objective: 1 Topic: Forecasting 1-1595 Chapter 01 - An Introduction to Business Statistics 52. Based on the information given in the table above, what is the MAD? A. 1.3333 B. 1.6667 C. 2.5 D. 3.3333 E. 4.5 AACSB: Analytic Bloom's: Application Difficulty: Medium Learning Objective: 6 Topic: Exponential Smoothing 53. Based on the information given in the table above, what is the average forecast error? A. 1.3333 B. 1.6667 C. 2.5 D. 3.3333 E. 4.5 AACSB: Analytic Bloom's: Application Difficulty: Medium Learning Objective: 1 Topic: Forecasting 1-1596 Chapter 01 - An Introduction to Business Statistics 54. Based on the information given in the table above, what is the MSD? A. 1.3333 B. 1.6667 C. 2.5 D. 3.3333 E. 4.5 AACSB: Analytic Bloom's: Application Difficulty: Medium Learning Objective: 6 Topic: Exponential Smoothing 55. When using simple exponential smoothing, the value of the smoothing constant α cannot be: A. Negative B. Greater than zero C. Greater than 1 D. .99 E. Both A and C AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 6 Topic: Exponential Smoothing 1-1597 Chapter 01 - An Introduction to Business Statistics 56. The demand for a product for the last six years has been 15, 15, 17, 18, 20, and 19. The manager wants to predict the demand for this time series using the following simple linear trend equation: trt = 12 + 2t. What are the forecast errors for the 5th and 6th years? A. 0, -3 B. 0, + 3 C. + 2, + 5 D. -2, -5 E. -1, -4 AACSB: Analytic Bloom's: Application Difficulty: Medium Learning Objective: 2 Topic: Time series regression 57. Use this equation to forecast the demand for this product and calculate the MSD. A. MSD = 6 B. MSD = 3.3333 C. MSD = 7.0 D. MSD = 2 E. MSD = 2.4 AACSB: Analytic Bloom's: Application Difficulty: Medium Learning Objective: 6 Topic: Exponential Smoothing 1-1598 Chapter 01 - An Introduction to Business Statistics 58. Use this equation to forecast the demand for this product and calculate the MAD. A. MAD = 1.333 B. MAD = 1.6 C. MAD = 2.0 D. MAD = 2.333 E. MAD = 2.5 AACSB: Analytic Bloom's: Application Difficulty: Medium Learning Objective: 6 Topic: Exponential Smoothing 59. When there is _______________ seasonal variation, the magnitude of the seasonal swing does not depend on the level of the time series. A. cyclical B. constant C. irregular D. increasing AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 1 Topic: Seasonal variation 1-1599 Chapter 01 - An Introduction to Business Statistics 60. When there is first-order autocorrelation, the error term in period t is related to the error term in period _____. A. t B. t + 1 C. t - 1 D. t - 2 AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 2 Topic: Time series regression 61. The _____ test is a test for first-order positive autocorrelation. A. Durbin-Watson B. MSD C. MAD D. Multiplicative Winters AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 2 Topic: Time series regression 62. Holt - Winters double exponential smoothing method is used to forecast time series data with ________. A. autocorrelation B. linear trend C. cyclical patterns D. moving averages AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 6 Topic: Exponential Smoothing 1-1600 Chapter 01 - An Introduction to Business Statistics 63. The recurring up-and-down movement of a time series around trend levels that last more than one calendar year is called ____. A. constant variation B. cyclical variation C. seasonal variation D. irregular variation AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 1 Topic: Time series analysis 64. A forecasting method that weights recent observations more heavily is called ____. A. time series analysis B. first-order autocorrelation C. multiplicative decomposition D. exponential smoothing AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 4 Topic: Exponential Smoothing 65. The upward or downward movement that characterizes a time series over a period of time is referred to as ____. A. seasonal B. cyclical C. trend D. irregular AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Easy Learning Objective: 1 Topic: Time series analysis 1-1601 Chapter 01 - An Introduction to Business Statistics 66. The purpose behind moving averages and centered moving averages is to eliminate _________________. A. constant variation B. cyclic...
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This document was uploaded on 01/20/2014.

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