Exam 5: Forecasting

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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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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

A scatter diagram is useful to determine if a relationship exists between two variables.

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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?

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Mean absolute deviation (MAD)is simply the sum of forecast errors.

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Which of the following is not considered to be one of the components of a time series?

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A seasonal index of 1 means that the season is average.

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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.

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A judgmental forecasting technique that uses decision makers,staff personnel,and respondent to determine a forecast is called

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In a weighted moving average,the weights assigned must sum to 1.

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TIME SERIES models attempt to predict the future by using historical data.

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Given the following data and seasonal index: 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. (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?

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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).

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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).

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A moving average forecasting method is a causal forecasting method.

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A seasonal index of ________ indicates that the season is average.

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Multiple regression may be used to forecast both trend and seasonal components present in a time series.

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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

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