George kyparisis owns a company that manufactures sailboats. actual demand for george's sailboats during each of the past four seasons was as follows: year season 1 2 3 4 winter 1 comma 480 1 comma 280 1 comma 040 900 spring 1 comma 500 1 comma 400 1 comma 620 1 comma 500 summer 1 comma 020 2 comma 120 2 comma 000 2 comma 000 fall 640 810 670 560 george has forecasted that annual demand for his sailboats in year 5 will equal 6 comma 000 sailboats. based on the given data and using the multiplicative seasonal model, the demand level for george's sailboats in the spring of year 5 will be nothing sailboats (enter a whole number).

Spring forecast = 1759.5

Explanation:

Unadjusted forecast = = 1500

(1) For winter season:

Average =

=

= 1175

Seasonal Index =

=

= 0.915

Adjusted Forecast = Unadjusted forecast x Seasonal Index

= 1500 × 0.915

= 1372.5

(2) For spring season:

Average =

=

= 1505

Seasonal Index =

=

= 1.173

Adjusted Forecast = Unadjusted forecast x Seasonal Index

= 1500 × 1.173

= 1759.5

(3) For summer season:

Average =

=

= 1785

Seasonal Index =

=

= 1.39

Adjusted Forecast = Unadjusted forecast x Seasonal Index

= 1500 × 1.39

= 2086.9

(4) For fall season:

Average =

=

= 670

Seasonal Index =

=

= 0.522

Adjusted Forecast = Unadjusted forecast x Seasonal Index

= 1500 × 0.522

= 783.32

∴ Spring forecast = 1759.5

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