Answer:
Fall 304
Winter 1,974
Spring 716
Summer 1,006
total 4,000
Explanation:
The historical data is missing, so I looked for a similar question and found this:
Season Year 1 Year 2
Fall 208 243
Winter 1,360 1,574
Spring 509 554
Summer 719 774
total 2,796 3,145
if the forecast for total demand during next year is correct, total demand should increase by [(4,000 / 3,145) - 1] x 100 = 27.186% or 855 more customers.
we must determine the % of total demand per season:
Season Year 1 % Year 2 %
Fall 208 7.44% 243 7.73%
Winter 1,360 48.64% 1,574 50.05%
Spring 509 18.20% 554 17.62%
Summer 719 25.72% 774 24.60%
total 2,796 100% 3,145 100%
the average % for each season:
Fall 7.59% x 4,000 = 303.6 ≈ 304
Winter 49.35% x 4,000 = 1,974
Spring 17.91% x 4,000 = 716.4 ≈ 716
Summer 25.15% x 4,000 = 1,006
total 100%
