Please make sure to answer part E as well.

Consider the following time series data. Week 1 2 3 4 5 6 Value 18 15 16 13 17 16 a. Choose the correct time series plot. (0) (ii) Time Series Value Time Series Value 20 20 18 18 16 16 14 M 14 12 12 10 10 v 8 8 6 6 4 2 2. Week(t) Week(t) 1 3 5 2 4 6 (iii) (iv) Time Series Value Time Series Value 20 20 18 18 16 16 14 14 12 12 10 10 8 8. 6 6 4 4 2 2 Week(t) Week(t) 6 5 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 Week Forecast Value 1 18 2 15 3 16 4 13 5 17 6 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 1 18 2 15 3 16 4 13 5 17 6 16 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? 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. C =