The followina time series shows the sales of a particular product over the past 12 months. (a) Construct a time series plot What type of pattern exists in the data? The data appear to foliow a seasonal pattern. The data appear to follow a horizontal pattem. The data appear to follow a cyclical pattern. The data appear to follow a trend pattern. (b) Use =0.4 to compute the exponential smoothing forecasts for the time series. (Round your answers to two decimal places.) c) Use a smoothing constant of =0.6 to compute the exponential smoothing forecasts. (Round your answers to two. Anrimalingrack Does a smoothing constant of 0.4 or 0.6 appear to provide more accurate forecasts based on MSE? A smoothing constant of 0.4 is better than a smoothing constant of 0.6 since the MSE is less for 0.4 than for 0.6 . A smoothing constant of 0.6 is better than a smoothing constant of 0.4 since the MSE is less for 0.6 than for 0.4 . A smoothing constant of 0.6 is better than a smoothing constant of 0.4 since the MSE is greater for 0.6 than for 0.4. A smoothing constant of 0.4 is better than a smoothing constant of 0.6 since the MSE is greater for 0.4 than for 0.6