1. To understand whether demand for a customer segment is changing over time, the company tracked historical demand for one of its products as follows:
   1. Using a simple 4-month moving average, calculate a forecast for October.

	Demand		Demand
April	60	July	60
May	55	August	80
June	75	September	75

1. Using single exponential smoothing with = 0.2 and a September forecast =65, calculate a forecast for October.
2. Using simple linear regression, calculate the trend line for the historical data. Let's say the x-axis is April = 1, May = 2, and so on, whereas the y-axis is demand.
3. Calculate a forecast for October using your regression formula.