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c ) How can the firm determine the most suitable forecasting method to use ?
Discussion Question 7 : a ) Which type of smoothing technique is generally better ?
b ) How do we determine which of two smoothing techniques is better ?
c ) How can we forecast the values of a time series that contains a secular trend as well as strong seasonal and random variations ?
Discussion Question 15 : Explain why it is still useful to pursue forecasting even though it is often off the market by wide margins
Problem 7 : The following table represents data on three leading indicators for a three-month period . Construct the composite index ( with each indicator assigned equal weight ) and the diffusion index .
Appendix Problem 1 : The following table reports the Consumer Price Index for the Los Angeles area on a monthly basis from January 1998 to December 2000 ( base year = 1982-1984 ). Eliminating the data for 2000 , use Excel to forecast the index for all of 2000 using a three- and sixmonth average . Which provides a better forecast for 2000 using the data provided ?
c ) How can the firm determine the most suitable forecasting method to use ?
Discussion Question 7 : a ) Which type of smoothing technique is generally better ?
b ) How do we determine which of two smoothing techniques is better ?
c ) How can we forecast the values of a time series that contains a secular trend as well as strong seasonal and random variations ?
Discussion Question 15 : Explain why it is still useful to pursue forecasting even though it is often off the market by wide margins
Problem 7 : The following table represents data on three leading indicators for a three-month period . Construct the composite index ( with each indicator assigned equal weight ) and the diffusion index .
Appendix Problem 1 : The following table reports the Consumer Price Index for the Los Angeles area on a monthly basis from January 1998 to December 2000 ( base year = 1982-1984 ). Eliminating the data for 2000 , use Excel to forecast the index for all of 2000 using a three- and sixmonth average . Which provides a better forecast for 2000 using the data provided ?