question 17 & 19 only

ing method? How would you determine whether time-series regression or exponential smoothing is better in a specific application? 9. Research and briefly describe the Delphi technique. How would it be used by an employer you have worked for? 10. What is the primary difference between a time-series model and an associative model? 11. Define time series. 12. What effect does the value of the smoothing constant have on the weight given to the recent values? 13. Explain the value of seasonal indices in forecasting. How are seasonal patterns different from cyclical patterns? 14. Which forecasting technique can place the most emphasis on recent values? How does it do this? 15. In your own words, explain adaptive forecasting. 16. What is the purpose of a tracking signal? 17 Explain, in your own words, the meaning of the correlation coefficient. Discuss the meaning of a negative value of the correlation coefficient. 18. What is the difference between a dependent and an independ- ent variable? 19. Give examples of industries that are affected by seasonality. Why would these businesses want to filter out seasonality? 20. Give examples of industries in which demand forecasting is dependent on the demand for other products. Using Software in Forecasting This section presents three ways to solve forecasting problems spreadsheets to develop forecasts. Second, you can use the Excel is another program that is located in MyOMLab. TO 16. What is the purpose of a tracking signal? (17) Explain, in your own words, the meaning of the correlation coefficient. Discuss the meaning of a negative value of the correlation coefficient. 18. What is the difference between a dependent and an independ- ent variable? (19.Give examples of industries that are affected by seasonality. Why would these businesses want to filter out seasonality? 20. Give examples of industries in which demand forecasting is dependent on the demand for other products