S4: ADDITIONAL EXAMPLES Times Series Forecast Example 1 A barbershop wants to forecast the number of customers it can expect next week. The table below shows the data over the past 6 weeks. a. What is the forecast for week 7 based on a naive forecast? b. What is the forecast for week 7 based on an average forecast? c. What is the forecast for week 7 based on a 4 periods simple moving average forecast? d. What is the forecast for week 7 based on a weighted moving average forecast with 70% weight on the most recent period, 20% weight on the second most recent period and 5% on the other periods? e. What is the forecast for week 7 based on an exponential smoothing forecast? The initial forecast F1 was 240 and the smoothing parameter is 0.9