Exam 5: Forecasting
Exam 1: Introduction to Quantitative Analysis71 Questions
Exam 2: Probability Concepts and Applications157 Questions
Exam 3: Decision Analysis128 Questions
Exam 4: Regression Models133 Questions
Exam 5: Forecasting111 Questions
Exam 6: Inventory Control Models123 Questions
Exam 7: Linear Programming Models: Graphical and Computer Methods110 Questions
Exam 8: Linear Programming Applications105 Questions
Exam 9: Transportation,assignment,and Network Models98 Questions
Exam 10: Integer Programming,goal Programming,and Nonlinear Programming98 Questions
Exam 11: Project Management134 Questions
Exam 12: Waiting Lines and Queuing Theory Models145 Questions
Exam 13: Simulation Modeling79 Questions
Exam 14: Markov Analysis86 Questions
Exam 15: Statistical Quality Control98 Questions
Exam 16: Analytic Hierarchy Process53 Questions
Exam 17: Dynamic Programming67 Questions
Exam 18: Decision Theory and the Normal Distribution50 Questions
Exam 19: Game Theory47 Questions
Exam 20: Mathematical Tools: Determinants and Matrices99 Questions
Exam 21: Calculus-Based Optimization24 Questions
Exam 22: Linear Programming: The Simplex Method100 Questions
Exam 23: Transportation, Assignment, and Network Algorithms111 Questions
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The decomposition approach to forecasting (using trend and seasonal components)may be helpful when attempting to forecast a TIME SERIES.Could an analogous approach be used in multiple regression analysis? Explain briefly.
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Correct Answer:
An analogous approach would be possible using time as one independent variable and using a set of dummy variables to represent the seasons.
Bias is the average error of a forecast model.
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(True/False)
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Correct Answer:
True
A scatter diagram is useful to determine if a relationship exists between two variables.
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Correct Answer:
True
If the Q1 demand for a particular year is 200 and the seasonal index is 0.85,what is the deseasonalized demand value for Q1?
(Multiple Choice)
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Mean absolute deviation (MAD)is simply the sum of forecast errors.
(True/False)
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Which of the following is not considered to be one of the components of a time series?
(Multiple Choice)
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What is one advantage of using causal models over TIME SERIES or qualitative models?
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Daily demand for newspapers for the last 10 days has been as follows: 12,13,16,15,12,18,14,12,13,15 (listed from oldest to most recent).Forecast sales for the next day using a two-day weighted moving average where the weights are 3 and 1.
(Multiple Choice)
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A judgmental forecasting technique that uses decision makers,staff personnel,and respondent to determine a forecast is called
(Multiple Choice)
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In a weighted moving average,the weights assigned must sum to 1.
(True/False)
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TIME SERIES models attempt to predict the future by using historical data.
(True/False)
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Given the following data and seasonal index:
(a)Compute the seasonal index using only year 1 data.
(b)Determine the deseasonalized demand values using year 2 data and year 1's seasonal indices.
(c)Determine the trend line on year 2's deseasonalized data.
(d)Forecast the sales for the first 3 months of year 3,adjusting for seasonality.

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When is the exponential smoothing model equivalent to the naïve forecasting model?
(Multiple Choice)
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Enrollment in a particular class for the last four semesters has been 120,126,110,and 130 (listed from oldest to most recent).Develop a forecast of enrollment next semester using exponential smoothing with an alpha = 0.2.Assume that an initial forecast for the first semester was 120 (so the forecast and the actual were the same).
(Multiple Choice)
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Average starting salaries for students using a placement service at a university have been steadily increasing.A study of the last four graduating classes indicates the following average salaries: $30,000,$32,000,$34,500,and $36,000 (last graduating class).Predict the starting salary for the next graduating class using a simple exponential smoothing model with α = 0.25.Assume that the initial forecast was $30,000 (so that the forecast and the actual were the same).
(Essay)
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A moving average forecasting method is a causal forecasting method.
(True/False)
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A seasonal index of ________ indicates that the season is average.
(Multiple Choice)
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Multiple regression may be used to forecast both trend and seasonal components present in a time series.
(True/False)
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Enrollment in a particular class for the last four semesters has been 122,128,100,and 155 (listed from oldest to most recent).The best forecast of enrollment next semester,based on a three-semester moving average,would be
(Multiple Choice)
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