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 3 4 Winter 1,400 1,500 1,200 1,440 1,000 1,600 2,040 650 960 Spring 1,500 Summer 1,000 2,120 2,000 520 Fall 680 810 George has forecasted that annual demand for his sailboats in year 5 will equal 6,000 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 1775 sailboats (enter a whole number).

Below is data of lobster sales volume from a seafood company. We are using exponential smoothing (α = 0.5) and 3-year moving average to forecast it. Please fill the blanks above and write your processes below.  What are the mean absolute deviations (MADs) of the two methods? Which method will you choose based on the results?

part b)

A bakery called Sweet Treats operates in a busy downtown area. It is trying to decide whether to add another oven to its kitchen next year. The number of cakes baked over the last four quarters are as follows: Q1 = 950, Q2 = 1,100, Q3 = 1,050, and Q4 = 1,200 cakes. The forecast for cakes baked in the second quarter was 1,000 cakes. a)    What is the forecast for the fifth quarter using exponential smoothing with a = 0.15? b)    Given only what you learned in a, should the bakery add another oven?

Compile a forecast for sales in Q1, Q2, Q3, and Q4 for 2013.

Assume today's date is 12/31/2023. Actual sales and forecast for 2023 are given below. Actual Forecast 2023 72.4 66.9 59.5 61.2 260 2023 69 67 Q3 61 Q4 59 Total 256 Obtain the MAD Q1 Q2 7.2 1.8 -1

The following table shows the actual demand observed over the last 11​ years:                                                                                                                                             Year 1 2 3 4 5 6 7 8 9 10 11 Demand 6 8 4 9 13 8 11 14 9 13 7 Part 2 Using exponential smoothing with α ​= 0.40 and a forecast for year 1 of 5.0​, provide the forecast from periods 2 through 12 ​(round your responses to one decimal​ place).   Year 1 2 3 4 5 6 7 8 9 10 11 12 Forecast 5.0 5.45.4 6.46.4 5.55.5 6.96.9 9.39.3 8.88.8 9.79.7 11.411.4 10.410.4 11.511.5 9.79.7 Part 3 Provide the forecast from periods 2 through 12 using the naive approach ​(enter your responses as whole​ numbers).   Year 2 3 4 5 6 7 8 9 10 11 12 Forecast enter your response here enter your response here enter your response here enter your…

What is the seasonal relative for the summer? (Please keep 3 decimal places for your answer)

4 Trinity General Hospital had the following number of patient admissions during the past 8 weeksWeek                          Patient                                Admissions1                                   1202                                   1453                                     954                                   1125                                   1306                                   1107                                   1008                                   140 a. Develop a 3-week weighted average forecast forWeek 4 through 9 with weightsW1 = 0.2W2 = 0.3W3 = 0.5 b. Forecast patient admissions for week 9 using simpleexponential smoothing with α = 0.2. Assume that the forecast for Week 2 (F2) is the naïve forecast.