Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 16 12 18 15 Choose the correct time series plot. (i) Time Series ValueWeek(t) (ii) Time Series ValueWeek(t) (iii) Time Series ValueWeek(t) (iv) Time Series ValueWeek(t) Plot (iii) What type of pattern exists in the data? Horizontal Pattern 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. Week Time Series Value Forecast 1 18 2 13 3 16 4 12 15.67 5 18 13.67 6 15 15.33 MSE: 10.78 The forecast for week 7: 15 Use = 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. Week Time Series Value Forecast 1 18 2 13 18 3 16 17 4 12 16.8 5 18 15.84 6 15 16.27 MSE: 11.06 The forecast for week 7: 16.02 Compare the three-week moving average forecast with the exponential smoothing forecast using = 0.2. Which appears to provide the better forecast based on MSE? Three-week moving average Explain. The input in the box below will not be graded, but may be reviewed and considered by your instructor. Use trial and error to find a value of the exponential smoothing coefficient that results in a smaller MSE than what you calculated for = 0.2. Find a value of for the smallest MSE. Round your answer to three decimal places. = 0.35