Question: Question 39 This forecasting method has a data pattern that includes stationary and trend Linear regression Exponential smoothing Simple moving average Weighted moving average Trend

Question 39 This forecasting method has a data

Question 39 This forecasting method has a data pattern that includes stationary and trend Linear regression Exponential smoothing Simple moving average Weighted moving average Trend and seasonal models Question 40 Based on the following monthly sales calculate the monthly simple moving average Month 1 = 200, Month 2 = 300, Month 3 = 240 Month 4 = 320 Month 5 = 360 = = o O 244 O 274 O 264 284 254 Question 41 Based on the following, calculate the forecast for month 6 Month 1 = 200, Month 2 = 300, Month 3 = 240 Month 4 = 320 Month 5 = 360 = = = Month 1 = .20, Month 2 = .30, Month 3 = .20 Month 4 = .20 Month 5 = .10 = 268 288 278 248 258 Question 44 In time series decomposition, seasonal variation may be either deductive or multiplicative True O False

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