please please please help!!!

need all questions answered!! will vote thumbs up!!! please dont leave explanations. have tried many times but cant figure out. please solve all questions :((((

(o) Construct a time series plot. What type of pattern exists in the data? The data appear to follow a horizontal pattern. The data appear to follow a trend pattern. The data appear to follow a cyclical pattern. The data appear to follow a seasonal pattern. b) Develop the three-week moving average for this time series. (Round your answers to two decimal places.) Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 77 e) Use \\( a=0,4 \\) to compute the exponential smoothing values for the time series. Does a smoothing constant of 0.2 or 0.4 appear to provide more accurate forecasts based on MSE? Explain. The exponential smoothing using \\( \\alpha=0.4 \\) provides a better forecast since it has a smaller MSE than the exponential smoothing using \\( a=0.2 \\). The exponential smoothing using \\( \\alpha=0.2 \\) provides a better forecast since it has a smaller MSE than the exponential smoothing using \\( \\alpha=0.4 \\). The exponential smoothing using \\( \\gamma=0.4 \\) provides a better forecast since it has a larger MSE than the exponential smoothing using \\( a=0.2 \\). The exponential smoothing using \\( a=0.2 \\) provides a better forecast since it has a larger MSE than the exponential smoothing using \\( a=0.4 \\). What is the forecast for week \\( n \\) (c) Use a \\( =0.2 \\) to compute the exponential smocthing values for the time series: Compute MSE: (Round your answer to two decimal places:) MSE = What is the forecast for week 77 (Round your answer to two decimal places.) 8) Compare the three week moving average forecast with the expenential smoothing forecast using a \\( =0.2 \\). Which appears to brovide the better forecast based on MSE? Explain. The exponential smoothing using \\( p=0.2 \\) provides a better forecast since it has a larger M5E than the three-week moving average approach. The exporential smoothing using \\( a=0.2 \\) provides a better forecast since it has a smaller MSE than the three-week moving average approsch. The threa-week moving average provides a better forecast since it has a larger MSE than the smeothing approach. The three-week moving average provides a better forecast since it has a smaller MSE than the smoothing opproach