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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.

SLP Assignment Expectations

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.

· Upload both your written report and Excel file to the SLP 2 Dropbox .

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.

Comp

are 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 appear

s to be more accurate for the Year 2

data: SES or Linear Regression.

SLP Assignment Expectations

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

·

L

ength requirements:

2

-

3 pages minimum

(not including Cover and Re

ference

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.

·

Upload both your written report an

d Excel file to the SLP 2 Dropbox .

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.

SLP Assignment Expectations

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.

 Upload both your written report and Excel file to the SLP 2 Dropbox .