Exam 4: Forecasting

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Forecasts are usually classified by time horizon into which three categories?

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A six-month moving average forecast is generally better than a three-month moving average forecast if demand:

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Explain,in your own words,the meaning of the coefficient of determination.

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The coefficient of determination measures the amount (percent)of total variation in the data that is explained by the model.

Linear-regression analysis is a straight-line mathematical model to describe the functional relationships between independent and dependent variables.

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A time-series trend equation is 25.3 + 2.1x.What is your forecast for period 7?

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Which of the following is NOT a characteristic of exponential smoothing?

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List and briefly describe the three major types of forecasts that organizations use in planning future operations.

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In trend projection,the trend component is the slope of the regression equation.

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The following trend projection is used to predict quarterly demand: y-hat = 250 - 2.5x,where x = 1 in the first quarter.Seasonal (quarterly)indices are Quarter 1 = 1.5; Quarter 2 = 0.8; Quarter 3 = 1.1; and Quarter 4 = 0.6.What is the seasonally adjusted forecast for the next four quarters?

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An innovative restaurateur owns and operates a dozen "Ultimate Low-Carb" restaurants in northern Arkansas.His signature item is a cheese-encrusted beef medallion wrapped in lettuce.Sales (x,in millions of dollars)is related to Profits (y-hat,in hundreds of thousands of dollars)by the regression equation y-hat = 8.21 + 0.76 x.What is your forecast of profit for a store with sales of $40 million? $50 million?

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What two numbers are contained in the daily report to the CEO of Walt Disney Parks & Resorts regarding the six Orlando parks?

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What is a time-series forecasting model?

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A naïve forecast for September sales of a product would be equal to the forecast for August.

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The primary purpose of the mean absolute deviation (MAD)in forecasting is to:

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Explain the role of regression models (time series and otherwise)in forecasting.That is,how is trend projection able to forecast? How is regression used for causal forecasting?

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Which of the following most requires long-range forecasting (as opposed to short-range or medium-range forecasting)for its planning purposes?

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Which of the following values of alpha would cause exponential smoothing to respond the SLOWEST to forecast errors?

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Regression lines graphically depict "cause-and-effect" relationships.

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A management analyst is using exponential smoothing to predict merchandise returns at an upscale branch of a department store chain.Given an actual number of returns of 154 items in the most recent period completed,a forecast of 172 items for that period,and a smoothing constant of 0.3,what is the forecast for the next period? How would the forecast be changed if the smoothing constant were 0.6? Explain the difference in terms of alpha and responsiveness.

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Demand forecasts serve as inputs to financial,marketing,and personnel planning.

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