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Week Value 1 2 17 13 3 4 15 11 5 16 6 14 a. Choose the correct time series plot. Time Series Value Time Series Value Week(t) Week(t) 5 Time Series Value Time Series Value Week(t) Week(t) What type of pattern exists in the data? b. Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7. Round your answers to two decimal places. Time Series Forecast Value Week 17 12 13 | 3 15 5 16 MSE: The forecast for week 7: c. Use a = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7. Round your answers to two decimal places. Time Series Week Forecast Value 17 Nm 6 14 MSE: The forecast for week 7: d. Compare the three-week moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide the better forecast based on MSE? d. Compare the three-week moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide the better forecast based on MSE? Explain. The input in the box below will not be graded, but may be reviewed and considered by your instructor. e. Use trial and error to find a value of the exponential smoothing coefficient a that results in a smaller MSE than what you calculated for a = 0.2. Find a value of a for the smallest MSE. Round your answer to three decimal places. QE = What Plot (i) ttern exists in the c Plot (ii) Plot (iii) Deve -week moving aver: Plot (iv) I Week I Forecast k moving average for this time series. Compute MSE and a forecast for week 7. Round your answers to ty Horizontal Pattern Trend Pattern forecast d. Compare the three-week moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide the better forecast based on MSE? Three-week moving average Exponential smoothing will not be graded, but may be reviewed and considered by your instructor