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ASSIGNMENT ID
580698
DOCUMENT TYPE Term paper
CREATED ON 14th July 2018
COMPLETED ON 15th July 2018
PRICE
\$30
Expert hired: Cashy

# Linear Regression and Simple Exponential Smoothing (SES) Forecasting

You must know EXCEL! recasting Scenario: You are a consultant for the Diligent Consulting Group (DCG). You have completed the first assignment, developing and testing a forecasting method that uses Linear Regression (LR) techniques (Module 2 Case). However, the consulting manager at DCG wants to try a different forecasting method as well. Now you decide to try Single Exponential Smoothing (SES) to forecast sales. Using this Excel template: Data chart for BUS520 SLP 2, do the following: Calculate the MAPE for Year 2 Linear Regression forecast (use the first spreadsheet tab labeled “Year 2 Forecast – MAPE”). Calculate forecasted sales for Year 2 using SES (use the second spreadsheet tab labeled “SES – MAPE”). Use 0.15 and 0.90 alphas. Compare the MAPE calculated for the LR forecast (#1 above) with the MAPEs calculated using SES. Then write a report to your boss in which you discuss the results obtained above. Using calculated MAPE values, make a recommendation concerning which method appears to be more accurate for the Year 2 data: SES or Linear Regression. Analysis Conduct accurate and complete SES analysis in Excel. You may also check the following link for your reference: https://support.office.com/en-US/article/data-analysis-7e71735c-c471-47e1-84ef-a8c23dc3098b Written Report Length requirements: 2 - 3 pages minimum (not including Cover and Reference pages). NOTE: You must submit 2 - 3 pages of written discussion and analysis. This means that you should avoid use of tables and charts as “space fillers.” Provide a brief introduction to/background of the problem. Complete a written analysis that supports your Excel analysis, discussing the assumptions, rationale, and logic used to complete your SES forecast. Give complete, meaningful, and accurate recommendation(s) relating to whether LR or SES is more accurate in predicting sales. Write clearly, simply, and logically. Use double-spaced, black Verdana or Times Roman font in 12 pt. type size. Have an introduction at the beginning to introduce the topics and use keywords as headings to organize the report. Avoid redundancy and general statements such as "All organizations exist to make a profit." Make every sentence count. Paraphrase the facts using your own words and ideas, employing quotes sparingly. Quotes, if absolutely necessary, should rarely exceed five words.
You must know EXCEL! recasting Scenario: You are a consultant for the Diligent Consulting Group (DCG). You have completed the first assignment, developing and testing a forecasting method that uses Linear Regression (LR) techniques (Module 2 Case). However, the consulting manager at DCG wants to try a different forecasting method as well.
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