Summarizes the historical demand for a product


Trends and Forecasting : Linear Regression and Exponential Smoothing

Explain the steps on how to solve the problem below:

1- The following data summarizes the historical demand for a product

Month      Actual demand
March           20
April             25
May              40
June             35
July              30
August         45

Use exponential smoothing with and the smoothed forecast for July is 32 and determine August and September's smoothed forecasts.

2- Robert has the following accounts on money spent on gambling and winnings:

Money spent   Money won
1000               2500
1200               4000
11800             4500
2000               4600
2500               5000
2800               4800
3500               5600
4000               6000
4200               5800
7000                  X

Using linear regression, predict x.

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Engineering Mathematics: Summarizes the historical demand for a product
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