Exam 10: Managing Demand and Forecasting

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When using linear regression for forecasting,the independent variable is the variable that one wants to forecast.

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Linear regression analysis always involves predicting one dependent variable based on one independent variable.

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Aggregating products or services together generally decreases the forecast accuracy.

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A business firm can be provided with the expected level of demand for goods and services by an economic forecast.

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Forecasting capacity needs is not generally considered important for service operations due to not having inventory.

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The judgment methods of forecasting are to be used for purposes of

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In relation to forecasting,there are no natural laws that make the relationship between demand and other variables continue to behave as they have done in the past.

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Which one of the following basic patterns of demand is difficult to predict because it is affected by national or international events or because of a lack of demand history reflecting the stages of demand from product development to decline?

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It is now near the end of May and you must prepare a forecast for June for a certain product.The forecast for May was 900 units.The actual demand for May was 1000 units.You are using the exponential smoothing method with α = 0.20.The forecast for June is

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The sample ________ coefficient measures the direction and strength of the relationship between the independent and dependent variables in a linear regression equation.

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Table 10.3 Table 10.3    -Use the information in Table 10.3.Calculate the exponential smoothing forecast for week 5 using α = 0.10 and   = 410. -Use the information in Table 10.3.Calculate the exponential smoothing forecast for week 5 using α = 0.10 and Table 10.3    -Use the information in Table 10.3.Calculate the exponential smoothing forecast for week 5 using α = 0.10 and   = 410. = 410.

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So called cyclical patterns involving gradual increases or decreases in demand over long periods of time cannot be predicted with forecasting.

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A weighted moving average method that calculates the average of a time series by giving recent demands more weight than earlier methods is called

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________ is the act of clustering several similar products or services so that companies can obtain more accurate forecasts.

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A(n)________ is an accumulation of customer orders that a manufacturer has promised for delivery at some future date.

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Judgment methods of forecasting are quantitative methods that use historical data on independent variables to predict demand.

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Table 10.3 Table 10.3    -Use the information in Table 10.3.Compute a three-week moving average forecast for the arrival of medical clinic patients in week 5. -Use the information in Table 10.3.Compute a three-week moving average forecast for the arrival of medical clinic patients in week 5.

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Which one of the following time series forecasting methods will generate the most accurate forecasts when demands have a consistent trend pattern?

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________ is the prediction of future events used for planning purposes.

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________ forecasts are produced by averaging independent forecasts based on different methods or data or both.

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