A D 1 Year Year Formula WU Parta 0 2 SOUN- Revenues millions) 8.43 10.B0 1267 14.00 15.00 17.00 18.75 18.62 1840 18.00 SNA SNA SNIA SNA SNA SNA SNA SNA 10 IL 15 15 12 Part Athering in die best in the detare Use the X Mine Analyse ToolPak to conduct your eyes After detingut est in shadedre. Durange in the top of the Your Liner Region may put outfit to odra ORNARAMORRBX Date Wit De 100 18:40 10 15 LP P her w our www. Pan Forecast Data a. CTIVUSCHIC CICLE LITE SCHICO PIUL TUI LIIC VOLO. 20 Revenue (Smillions) 18 +16 +14 12 A. +10 -8 N 2 4 5 5 6 N 8 9 10 Year 20 Revenue (Smillions) -18 --16 -14 12 +10 20 Revenue (Smillions) -18 +16 +14 12 B. +10 -8 -2 2 3 4 6 7 00 8 9 9 10 4 5 4 Year 20 20 Revenue (Smillions) +18 +16 +14 -12 C. -2 1 2 3 4 5 6 7 - 00 8 9 10 Year 20 Revenue (Smillions) +18 12 D. d b -10 2. 1 3 4 5 6 7 - 101 8 | 9 10 . Year The correct time series plot is Comment on the appropriateness of a linear trend. b. Develop a quadratic trend equation that can be used to forecast revenue (to 4 decimals). Ti = bot bytt byt? bo : bi : c. Using the trend equation developed in part (b), forecast revenue in year 11 (to 2 decimals). A D 1 Year Year Formula WU Parta 0 2 SOUN- Revenues millions) 8.43 10.B0 1267 14.00 15.00 17.00 18.75 18.62 1840 18.00 SNA SNA SNIA SNA SNA SNA SNA SNA 10 IL 15 15 12 Part Athering in die best in the detare Use the X Mine Analyse ToolPak to conduct your eyes After detingut est in shadedre. Durange in the top of the Your Liner Region may put outfit to odra ORNARAMORRBX Date Wit De 100 18:40 10 15 LP P her w our www. Pan Forecast Data a. CTIVUSCHIC CICLE LITE SCHICO PIUL TUI LIIC VOLO. 20 Revenue (Smillions) 18 +16 +14 12 A. +10 -8 N 2 4 5 5 6 N 8 9 10 Year 20 Revenue (Smillions) -18 --16 -14 12 +10 20 Revenue (Smillions) -18 +16 +14 12 B. +10 -8 -2 2 3 4 6 7 00 8 9 9 10 4 5 4 Year 20 20 Revenue (Smillions) +18 +16 +14 -12 C. -2 1 2 3 4 5 6 7 - 00 8 9 10 Year 20 Revenue (Smillions) +18 12 D. d b -10 2. 1 3 4 5 6 7 - 101 8 | 9 10 . Year The correct time series plot is Comment on the appropriateness of a linear trend. b. Develop a quadratic trend equation that can be used to forecast revenue (to 4 decimals). Ti = bot bytt byt? bo : bi : c. Using the trend equation developed in part (b), forecast revenue in year 11 (to 2 decimals)