Exam 15: Time Series Analysis and Forecastng

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All of the following are true about a cyclical pattern except

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In the linear trend equation, T = b0 + b1t, b0 represents the

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The following time series shows the number of units of a particular product sold over the past six months. The following time series shows the number of units of a particular product sold over the past six months.     a.Compute a 3-month moving average (centered) for the above time series. b.Compute the mean square error (MSE) for the 3-month moving average. c.Use <font face=symbol></font> = 0.2 to compute the exponential smoothing values for the time series. d.Forecast the sales volume for month 7. a.Compute a 3-month moving average (centered) for the above time series. b.Compute the mean square error (MSE) for the 3-month moving average. c.Use = 0.2 to compute the exponential smoothing values for the time series. d.Forecast the sales volume for month 7.

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Exhibit 15-2 Consider the following time series. Exhibit 15-2 Consider the following time series.    -Refer to Exhibit 15-2. The forecast for period 10 is -Refer to Exhibit 15-2. The forecast for period 10 is

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The forecasting method that is appropriate when the time series has no significant trend, cyclical, or seasonal effect is

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Delta Corp's plant in Austin has been experiencing imbalances in its inventory of components used in the production of a line of computer printers. Both stock shortages and overstock conditions are occurring. The production analysis group is studying the pattern of demand for component PS2400, a power supply used in many of Delta's products. The group believes that the most recent 12 weeks of demand for the PS2400 is representative of the future weekly demand: Delta Corp's plant in Austin has been experiencing imbalances in its inventory of components used in the production of a line of computer printers. Both stock shortages and overstock conditions are occurring. The production analysis group is studying the pattern of demand for component PS2400, a power supply used in many of Delta's products. The group believes that the most recent 12 weeks of demand for the PS2400 is representative of the future weekly demand:     a. Use a four-week moving average to develop a forecast of the demand for the PS2400 component in week 13. b. Use a four-week weighted moving average with weights of .4 (for the most recent datum), .3, .2, and .1 to forecast the demand for the PS2400 component in week 13. a. Use a four-week moving average to develop a forecast of the demand for the PS2400 component in week 13. b. Use a four-week weighted moving average with weights of .4 (for the most recent datum), .3, .2, and .1 to forecast the demand for the PS2400 component in week 13.

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Exhibit 15-3 Consider the following time series. Exhibit 15-3 Consider the following time series.    -Refer to Exhibit 15-3. The slope of linear trend equation, b<sub>1</sub>, is -Refer to Exhibit 15-3. The slope of linear trend equation, b1, is

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Below you are given some values of a time series consisting of 26 time periods. Below you are given some values of a time series consisting of 26 time periods.   The estimated regression equation for these data is Y<sub>t</sub> = 16.23 + .52Y<sub>t-1</sub> + .37Y<sub>t-2</sub> The forecasted value for time period 27 is The estimated regression equation for these data is Yt = 16.23 + .52Yt-1 + .37Yt-2 The forecasted value for time period 27 is

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What is the forecast for July based on a three-month weighted moving average applied to the following past demand data and using the weights: 5, 3,and 2 (largest weight is for most recent data)? Show all of your computations for April through July. What is the forecast for July based on a three-month weighted moving average applied to the following past demand data and using the weights: 5, 3,and 2 (largest weight is for most recent data)? Show all of your computations for April through July.

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John has collected the following information on the amount of tips he has collected from parking cars the last seven nights. John has collected the following information on the amount of tips he has collected from parking cars the last seven nights.     a.Compute the 3-day moving averages for the time series. b.Compute the mean square error for the forecasts. c.Compute the mean absolute deviation for the forecasts. d.Forecast John's tips for day 7. a.Compute the 3-day moving averages for the time series. b.Compute the mean square error for the forecasts. c.Compute the mean absolute deviation for the forecasts. d.Forecast John's tips for day 7.

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The quarterly sales (in thousands of copies) for a specific educational software over the past three years are given in the following table. The quarterly sales (in thousands of copies) for a specific educational software over the past three years are given in the following table.     a.Compute the four seasonal factors (Seasonal Indexes). Show all of your computations. b.The trend for these data is Trend = 174 + 4 t (t represents time, where t=1 for Quarter 1 of 2003 and t=12 for Quarter 4 of 2005). Forecast sales for the first quarter of 2006 using the trend and seasonal indexes. Show all of your computations. a.Compute the four seasonal factors (Seasonal Indexes). Show all of your computations. b.The trend for these data is Trend = 174 + 4 t (t represents time, where t=1 for Quarter 1 of 2003 and t=12 for Quarter 4 of 2005). Forecast sales for the first quarter of 2006 using the trend and seasonal indexes. Show all of your computations.

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Exhibit 15-3 Consider the following time series. Exhibit 15-3 Consider the following time series.    -Refer to Exhibit 15-3. The intercept, b<sub>0</sub>, is -Refer to Exhibit 15-3. The intercept, b0, is

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The actual demand for a product and the forecast for the product are shown below. Calculate MAD and MSE. Show all of your computations. The actual demand for a product and the forecast for the product are shown below. Calculate MAD and MSE. Show all of your computations.

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You are given the following information on the seasonal-irregular component values for a quarterly time series: You are given the following information on the seasonal-irregular component values for a quarterly time series:   The seasonal index for Quarter 1 is The seasonal index for Quarter 1 is

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You are given the following information on the quarterly profits for Ajax Corporation. You are given the following information on the quarterly profits for Ajax Corporation.     a.Find the four-quarter centered moving averages. b.Compute the seasonal-irregular component. c.Compute the seasonal factors for all four quarters. d.Represent the deseasonalized series. a.Find the four-quarter centered moving averages. b.Compute the seasonal-irregular component. c.Compute the seasonal factors for all four quarters. d.Represent the deseasonalized series.

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