Quarter 1 2 3 1 11 14 17 2 20 23 26 3 29 32 35 4 38 41 44 Compute seasonal relatives for this quarterly data. a. Use the SA method.

Please explain the calculation to get get the answers in the column provided?!

Font Paragraph Styles Question 3 Consider the following from an estate agent's business nationally: Month Houses Sold Jan Feb Mar 380 360 390 Apr May June July Aug Sep Oct 400 390 380 394 454 460 460 Nov Dec 430 370 a) Calculate the three point moving averages (quarters) and seasonal variation for the above data b) Define moving averages and how they're useful in forecasting (use Harvard referencing) c) At races, your horse, White Rum, has a probability of 1/20 of coming 1st, 1/10 of coming 2nd and a probability of 4 in coming 3rd. First place pays $5,000 to the winner, second place $4,000 and third place $1,350. Hence, is it worth entering the race if it costs $1050?

Consider the following sales data for Bell, Inc. Month Sales ($ Millions) Jan. 10 Feb. 12 March 14 April 16 May 18 June 23 July 26 Aug. 31 Sept. 27 Oct. 18 Nov. 16 Dec. 14 a. Use a three-month weighted moving average to forecast the sales for the months April through December. Use weights of (3/6), (2/6), and (1/6), giving more weight to more recent data. b. Use exponential smoothing with α = 0.30 to forecast the sales for the months April through December. The forecast for January was $12 million. c. Compare the performance of the two methods by using the bias and MAD as the performance criteria. Which performance method is the most reasonable? Why?

Suppose these data show the number of gallons of gasoline sold by a gasoline distributor in Bennington, Vermont, over the past 12 weeks. Sales (1,000s of gallons) Week 1 17 2 21 3 19 23 5 18 6 16 7 21 8 19 9 23 10 21 11 16 12 23 (a) Using a weight of - for the most recent observation, for the second most recent observation, and - for third most recent observation, compute a three-week weighted moving average for the time series. (Round your answers to two decimal places.) Time Series Value Weighted Moving Average Forecast Week 1. 17 2 21 19 4 23 5 18 6 16 7 21

st Info Period 1 2 3 4 5 6 7 8 9 10 K Develop two exponential smoothing forecasts for periods 2 through 11. For the first forecast, use a = 0.3. For the second, use α = 0.7. Assume that your forecast for period 1 was 205. Click the icon to view the time series data. Find the exponential smoothing forecast for each period when a = 0.3 (enter your responses rounded to one decimal place). Demand 222 249 222 228 235 155 161 153 163 152 X Period 1 2 Demand 222 249 Forecast (α = 0.3) 205

D.) compute MAPE for each data set. Which forecast appears to be more accurate?

January February March April May June a. Calculate forecasts for the remaining five months using simple exponential smoothing with a = 0.4. February March April May June ACTUAL FORECAST 100 85 96 103 82 66 90 MAD Forecasts 91 93 97 91 81 b. Calculate the MAD for all the forecasts, including January's. (Round your answer to 1 decimal place.)

help  please answer in text form with proper workings and explanation for each and every part and steps with concept and introduction no AI no copy paste remember answer must be in proper format with all working

K 2. Setting an advertising budget is a forecasting exercise. What are the fundamental principles that should be adhered to when undertaking forecasting?   Be conservative and use the best evidence-based technique available Be innovative and use multiple methods and choose the optimal one Be conservative and use multiple evidence-based techniques, taking the average result Be innovative and use multiple evidence-based techniques, taking the average result