- Consider The Following Time Series Data Web 1 2 3 4 5 6 Value 15111310 1412 A Construct A Time Series Plot 203 18 16 1 1 (17.75 KiB) Viewed 99 times
What type of pattern exists in the data? The data appear to follow a horizontal pattern The data appear to follow a seasonal pattern The data appear to follow a cyclical pattern The data appear to follow a trend pattern. (b) Develop the three-week moving average for this time series. (Round your answers to two decimal places.) Week Time Series Forecast Value 1 15 2 11 3 13 10 5 14 6 12 Compute MSE (Round your answer to two decimal places) MSE What is the forecast for week 7
(c) Use -0.2 to compute the exponential smoothing values for the time series Week Time Series Value Forecast 1 15 2 11 3 4 10 5 14 6 12 Compute MSE (Round your answer to two decimal places) MSE What is the forecast for week 77 (Round your answer to two decimates.) (d) Compare the three week moving average forecast with the exponential smoothing forecasting - 0.2. which appears to provide the better forecast based on MSE Explain The exponential smoothing using - 0.2 provides a better forecast ce it has a smaller MSE than the tree week moving average approach The three week moving average provides a better forecast since its a larger HSE than the smoothing proach The exponent moothing in 0.2 provides a better forecast since it has a larger MSE than the three week moving average approach The three moving average provides a better forecasting this smaller MSE than the smoothing approach
() Use a = 0.4 to compute the exponential smoothing values for the time series Week Time Series Forecast Value 1 15 2 11 2 13 4 10 5 14 6 12 Does a smoothing constant of 0.2 0.4 appear to provide more accurate forecasts based on SE7Expan The exponential smoothing using 0.4 provides a better forecast since it has a smaller HSE than the exponential smoothing using a 0.2. The exponential smoothing using a = 0.2 provides a better forecast since it has a larger than the exponential smoothing sing w = 0.4 The exponential smoothing using 0.4 provides a better forecast since it has a larger HSE than the exponential smoothing using -0.2. The exponential smoothing uting - 0.2 provides a better forecast since it has a smaller MSE than the exponential smoothing ang 0.4