1. In the model-testing phase of the nine-step process, which of the following refers to that portion of a sample used to evaluate model-forecast accuracy?
2. Quarterly time-series data with a trend can be applied to models that assume stationary data by?
3. A time series whose 24-quarter lag correlograms hows no tendency to diminish towards zero can be said to?
4. Which of the following is not considered a subjective forecasting method?
5. Forecasts based solely on the most recent observation of the variable of interest?
6. Time series data of a typical the GAP store should show which of the following data patterns?
7. Forecasting January sales based on the previous month's level of sales is likely to lead to error if the data are?
8. Of the following model selection criteria, which is often the most important in determining the appropriate forecast method?
9. Which time-series component is said to fluctuate around the long-term trend and is fairly irregular in appearance?
10. Measures of forecast accuracy based upon a quadratic error cost function, notably root mean square error, tend to treat?
11. One can realistacally not expect to find a model that fits any data set perfectly, due to the ? component of a time series.
12. Which of the following does not require sophisticated quantitative forecasts?