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1. The linear trend equation yˆ = 120 + 4.8has been developed, where yˆ = estimated sales (thousands of dollars) and = 1 for the year 1999. What level of sales would be forecast for 2013; for 2015?

2. An appliance repair shop owner has fitted the quadratic trend equation yˆ = 90 + 0.9+ 3x2 to a time series of annual repair orders, with = the number of repair orders and = 1 for 2005. Forecast the number of repair orders for 2013; for 2015.

3. Based on annual truck rentals over the years, a rental firm has developed the quadratic trend equation yˆ  = 450 + 20+ 7.2x2, with = 1 for 2005. Forecast for 2013; for 2015.

4. When exponential smoothing is used in fitting a curve to a time series, the approach is slightly different from its application to forecasting. Compare the appro- priate formulas and point out how they differ.

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