Business Analysis | Section 036 Week 4 Assignment Help | Georgia State University
- Georgia State University / Business Analysis 036
- 22 Oct 2020
- Price: $12
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Business Analysis | Section 036 Week 4 Assignment Help | Georgia State University
Module 4: Planning your
Business: Creating a Seasonal Index and adding Seasonality to a Forecast Webex Activity: Creating
a Seasonal Index
Webex: Creating a Seasonal
Index and adding Seasonality to a Forecast
In this week's Webex Exercise, we will continue to work on our Excel
skills by adding a seasonality to a forecast. This method is good when the
historical data has a repeating pattern.
You will run regression again for the Excel activity. You will combine
this with creating a seasonal Index and then re-seasonlizing your forecast.
The module 4 Excel exercise goes though the four steps of classical
decomposition. This includes:
1.
Developing the seasonal index: Seasonal index = actual/de-seasonalized
demand
2.
Taking seasonality out of our data: De-seasonalized Demand = Actual /
Seasonal Index
3.
Run regression using the De-seasonalized demand. This will create and
equation representing the underlying trend (like Exercise 5). Based on the
regression equation, you will create a forecast just with trend.
4.
Re-seasonalizing the forecast. Seasonalized forecast from Step 3 *
Seasonal Index from Step 1
You may find it useful to refer back
to the example videos about Creating a Forecast using both Trend and
Seasonality provided in the Module 4 CSePub content opens in new windowas you work with
your instructor to complete the Module 4 Webex Excel Activity.
Excel Activity for Module 4: Seasonality
To help you complete this activity, there is a pre-made Excel
Spreadsheet attached below the video on the page in CSePub. I
recommend that you open this sheet as you watch the video to prepare for our
meeting.