Flashcards and Answers – Homework 2

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question
Forecasting techniques generally assume an existing causal system that will continue to exist in the future.
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True
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For new products in a strong growth mode, a low alpha will minimize forecast errors when using exponential smoothing techniques.
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False
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Forecasts for groups of items tend to be less accurate than forecasts for individual itemsbecause forecasts for individual items don't include as many influencing factors.
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False
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Organizations that are capable of responding quickly to changing requirements can use a shorter forecast horizon and therefore benefit from more accurate forecasts.
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True
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Time series techniques involve identification of explanatory variables that can be used to predict future demand.
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False
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The Delphi approach involves the use of a series of questionnaires to achieve a consensus forecast.
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True
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The naive forecast can serve as a quick and easy standard of comparison against which to judge the cost and accuracy of other techniques.
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True
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An advantage of a weighted moving average is that recent actual results can be given more importance than what occurred a while ago.
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True
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The sample standard deviation of forecast error is equal to the square root of MSE.
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True
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The use of a control chart assumes that errors are normally distributed about a mean of zero.
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True
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Bias exists when forecasts tend to be greater or less than the actual values of time series.
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True
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The best forecast is not necessarily the most accurate.
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True
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A proactive approach to forecasting views forecasts as probable descriptions of future demand, and requires action to be taken to meet that demand.
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False
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In exponential smoothing, an alpha of .30 will cause a forecast to react more quickly to a large error than will an alpha of .20
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True
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Forecasts based on judgment and opinion don't include
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Second opinions
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In business, forecasts are the basis for:
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All of the above
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Which of the following features would not generally be considered common to all forecasts?
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Historical data is available on which to base the forecast.
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Minimizing the sum of the squared deviations around the line is called:
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Least squares
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The two general approaches to forecasting are:
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Qualitative and Quantitative
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Which of the following is not a type of judgmental forecasting?
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Time series analysis
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Which phrase most closely describes the Delphi technique?
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Series of questionnaires
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One reason for using the Delphi method in forecasting is to:
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avoid premature consensus (bandwagon/group think effect)
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The primary difference between seasonality and cycles is:
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the duration of the repeating patterns
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Using the latest observation in a sequence of data to forecast the next period is:
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Native forecast
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For the data given below, what would the naïve forecast be for the next period (period #5)? Period Demand 1 60 2 58 3 56 4 54
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52
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Moving average forecasting techniques do the following:
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Smooth variations in the data
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In order to increase the responsiveness of a forecast made using the moving average technique, the number of data points in the average should be:
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Decreased
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A forecast based on the previous forecast plus a percentage of the forecast error is:
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An exponentially smoothed forecast
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Given an actual demand of 59, a previous forecast of 64, and an alpha of .3, what would the forecast for the next period be using simple exponential smoothing?
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62.5
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A manager uses the following equation to predict monthly receipts: Yt = 40,000 + 150t. What is the forecast for July if t = 0 in April of this year?
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40,450
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In the "additive" model for seasonality, seasonality is expressed as a ______________ adjustment to the average; in the multiplicative model, seasonality is expressed as a __________ adjustment to the average.
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Quantity; Percentage
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Which of the following might be used to indicate the cyclical component of a forecast?
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Leading variable
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The primary method for associative forecasting is:
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Regression analysis
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Which term most closely relates to associative forecasting techniques?
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Predictor variables
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The mean absolute deviation (MAD) is used to:
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Measure forecast accuracy
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Which of the following is used for constructing a control chart?
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Mean squared error (MSE)(Sample Variance)
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Given the following historical data, what is the simple three-period moving average forecast for period 6? Period Demand 1 73 2 68 3 65 4 72 5 67
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68
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Given the following historical data and weights of .5, .3, and .2, what is the three-period weighted moving average forecast for period 5? Period Demand 1 138 2 142 3 148 4 144
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144.80
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Given forecast errors of - 5, - 10, and +15, the MAD is:
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10
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Q26 For the last four periods, the following sales data has been observed: April $2,456 May $4,329 June $2,123 July $3,345 You have been asked to forecast sales for August using the naïve approach. What will you recommend?
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Same amount as observed in July
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