Consider the following time series data. Week123 56 Value 19 11 16 10 17 12 (a) Construct a time series plot. 20 18 20 18 18 16 14 12 4- 24 6 3. 3. 4. 6. 3 Week Week Week Week What type of pattern exists in the data? The data appear to follow a horizontal pattern. The data appear to followa seasonal pattern. e The data appear to follow a cyclical pattern. The data appear to follow a trend pattern. (b) Develop the three-week moving average forecasts for this time series. (Round your answers to two decimal places.) Time Series Week Forecast Value 19 11 16 10 15.333 17 12.333 12 14.333 Compute MSE. (Round your answer to two decimal places.) MSE - 18.56 What is the forecast for week 7? 13 (c) Use a = 0.2 to compute the exponential smoothing forecasts for the time series. (Use all decimal places as given in Excel). Time Series Value Week Forecast 1 19 64 x 11 16 1.96 10 17 12

Consider the following time series data. Week123 56 Value 19 11 16 10 17 12 (a) Construct a time series plot. 20 18 20 18 18 16 14 12 4- 24 6 3. 3. 4. 6. 3 Week Week Week Week What type of pattern exists in the data? The data appear to follow a horizontal pattern. The data appear to followa seasonal pattern. e The data appear to follow a cyclical pattern. The data appear to follow a trend pattern. (b) Develop the three-week moving average forecasts for this time series. (Round your answers to two decimal places.) Time Series Week Forecast Value 19 11 16 10 15.333 17 12.333 12 14.333 Compute MSE. (Round your answer to two decimal places.) MSE - 18.56 What is the forecast for week 7? 13 (c) Use a = 0.2 to compute the exponential smoothing forecasts for the time series. (Use all decimal places as given in Excel). Time Series Value Week Forecast 1 19 64 x 11 16 1.96 10 17 12

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Find text or tools Use the information provided below to answer questions 24-25. INFORMATION The times series graph below shows information about the quarterly number of tourists from the European Union (EU) to vh Africa over the 2021-2023 period. The underlying trend line indicated by the dotted line is defined by the equation, y 703x-176 577. Time ones graph of quarterly number of tourists for EU to South 40000 REANDDIC 300000 2240 2010 200000 150000 18390 1000 0 2 --T Arica (2021-2023) 12920 30000 2013 8 10 1999 18 QUESTION 24 (4 marks) Using data from the graph, estimate the mean seasonal variation (or average seasonal effect) for quarter 4 (Q4) and use it to predict the number of tourists from the EU expected to visit South Africa in quarter 4 of 2024. A. The mean seasonal variation is -25 000; the number of tourists from the EU expected to visit South Africa in quarter 4 of 2024 is 322 825. B. The mean seasonal variation is 25 000, the number of tourists from the EU expected to…
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Section 2.1, question 9
which trend and would it be negative or postive or neither