Historical demand for a product is as follows: DEMAND April 60 May 55 June 75 July 60 August 80 September 75
Historical demand for a product is as follows:
| DEMAND | |
|---|---|
| April | 60 |
| May | 55 |
| June | 75 |
| July | 60 |
| August | 80 |
| September | 75 |
-
Using a simple four-month moving average, calculate a forecast for October.
Note: Round your answer to 1 decimal place.
-
Using single exponential smoothing with α = 0.2 and a September forecast = 65, calculate a forecast for October.
Note: Round your answer to the nearest whole number.
-
Using simple linear regression, calculate the trend line for the historical data. Say the X axis is April = 1, May = 2, and so on, while the Y axis is demand.
Note: Round your intercept value to the nearest whole number and slope value to 2 decimal places.
-
Calculate a forecast for October using your regression formula.
Note: Round your answer to 2 decimal places.
Trending now
This is a popular solution!
Step by step
Solved in 3 steps with 2 images
