The number of cheques received in June was $4040$ million, while the forecast was $4242$ million. A smoothing constant of $0\mathrm{.}250\mathrm{.}25$ is used.Part $2$a$)$ Using exponential smoothing LOADING... and given alpha, the forecast for the month of Julyequals$=$ enter your response here million cheques received. $($Round your response to one decimal place.$)$Part $3$b$)$ If the cheque$-$processing centre received $4646$ million cheques in the month of July, then using exponential smoothing and given alpha, the forecast for the month of Augustequals$=$ enter your response here million cheques received. $($Round your response to one decimal place.$)$Part $4$c$)$ Exponential smoothing may not be an appropriate method to use for the cheque$-$processing centre becauseA.the cheque$-$processing centre's forecast is very hard to make as its processing requirements should have a very high variability.B$.$the cheque$-$processing centre should observe an increasing trend in its processing requirements.C$.$the cheque$-$processing centre should observe seasonality in its processing requirements.D$.$the cheque$-$processing centre should observe a cyclical trend in its processing requirements.