Exam 17: Time Series Analysis and Forecasting

One measure of the accuracy of a forecasting model is

A parameter of the exponential smoothing model which provides the weight given to the most recent time series value in the calculation of the forecast value is known as the

Exhibit 18-3 Consider the following time series. -Refer to Exhibit 18-3. The slope of linear trend equation, b₁, is

The following time series shows the sales of a clothing store over a 10-week period. a.Compute a 4-week moving average for the above time series. b.Compute the mean square error (MSE) for the 4-week moving average forecast. c.Use $\alpha$ = 0.3 to compute the exponential smoothing values for the time series. d.Forecast sales for week 11.

Below you are given the first two values of a time series. You are also given the first two values of the exponential smoothing forecast. If the smoothing constant equals .3, then the exponential smoothing forecast for time period three is

The following linear trend expression was estimated using a time series with 17 time periods. T_t = 129.2 + 3.8t The trend projection for time period 18 is

A method of smoothing a time series that can be used to identify the combined trend/cyclical component is

The following data show the quarterly sales of Amazing Graphics, Inc. for the years 6 through 8. a.Compute the four-quarter moving average values for the above time series. b.Compute the seasonal factors for the four quarters. c.Use the seasonal factors developed in Part b to adjust the forecast for the effect of season for year 6.