Hello, I'm a bit at lost with this individual assignment, if you can please assist with the excel sheet calculations as to answer some of this question, I may be able to visualize with the formulas where the answer is coming from. I would appreciate any help. Thanks for including the excel file attached for my records to future studies.

Thanks again.

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Review the practice activity on descriptive modeling in Module 5 (identifying the relationships between variables)and then perform calculation of correlations of all remaining (3) independent variables and build scatter plots using this data file:

Magic Foods. Pattern Recognition Data (student) V2.xlsx

Follow the instructions in theIndividual Case Study Instructions V2.docxto review and analyze the case.

Produce and submit a business memo to report and discuss your findings on this case and address the case parts. Structure your report with the following 3 sections: problem presented, summary of analysis, and recommendations.

Problem:

Instructions

In order to complete the assignment, first read the case write-up for the "Cutting Edge" case.Then, answer the questions listed below for each part of the case.The Part 1 questions refer to the 2 years leading up to the opening of the new call center.Part 2 questions refer to the first 13 weeks of operation after opening the call center.Part 3 questions refer to the first 18 months of operating the call center.

Instructions

In order to complete the assignment, first read the case write-up for the "Cutting Edge" case.Then, answer the questions listed below for each part of the case.The Part 1 questions refer to the 2 years leading up to the opening of the new call center.Part 2 questions refer to the first 13 weeks of operation after opening the call center.Part 3 questions refer to the first 18 months of operating the call center.

Produce a report, which includes your answers to the assignment questions.Your answers must be entered directly into this Word document below each question.Insert each answer below each question on this document and use as much space as needed.

Part 1 (15 points):

Question 1a (5 points): Define a problem statement which reflects the challenge facing Mark as he planned for the opening of the new center.

Question 1b (5 points): Why was Mark's initial forecast of call volume so far off?What could have been the reasons for this?

Question 1c (5 points): What could Mark have done differently to improve his initial forecast?

Part 2 (25 points):

In answering the Part 2 questions, you should download and refer to Student Data File No. 1 which contains the historical data that was used in preparing the forecast results that are reported in Part 2 of the case write-up document.Note that you do not have to Produce any forecasts in answering this question.Hint: it will be helpful for you to review a time-series plot of the 13 weeks of data contained on Student Data File No. 1.

Question 2a (4 points): Describe the details of the Last Value method used by Harry and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Question 2b (4 points): Describe the details of the Averaging method used by Harry and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Question 2c (4points): Describe the details of the Moving Average (5 days) method used by Harry and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Question 2d (4points): Describe the details of the Exponential Smoothing (alpha = 0.1) method used by Harry and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Question 2e (4 points): Describe the details of the Exponential Smoothing (alpha = 0.7) method used by Harry and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Question 2f (5 points): Based on the analysis above, provide your recommendations to Mark on daily call volume forecasting to improve the scheduling of the call enter staff. You must recommend a forecasting model as a part of your answer.

Part 3 (50 points):

In answering the Part 3 questions, you should download and refer to Cutting Edge Student Data File No. 2 which contains the historical data and forecasting model templates that you will need to answer the questions.

Question 3a (10 points):

Prepare forecast of call volume for July 2015 by applying Exponential Smoothing (with alpha = 0.5) to the prior 18 months of data.Use the appropriate Excel template (Exponential_Smoothing (without seasonality. xlsx)to make your forecast and assume that initial call volume is 24,000.Show your forecast below and attach the completed Excel template.

Call Volume Forecast for July 2015 (Exponential Smoothing, alpha=0.5): _________________

Question 3b (10 points):

Apply Linear Regression to predict call volume from head count using the appropriate Excel template (Linerar_Regression Model.xlsx). Based on the upcoming acquisition of Cutter Corp on 7/1/2015, the forecast of head count for July 2015 is 77,000 (Estimator x value). Show your forecast below and attach the completed Excel template.

Call Volume Forecast for July 2015 (Causal Forecasting based on head count): _________________

Question 3c (10 points):

Calculate the Mean absolute deviation value of the Exponential Smoothing model (Question 3a) and the Average Estimation Error of the Linear Regression model (Question 3b).You will need to employ the Excel AVERAGE function for the Linear Regression Average Estimation Error (Cell: F36). Explain the difference between the MAD and Agv Est Error values.

Mean absolute deviation of Exponential Smoothing model, alpha=0.5: ______________________

Average Estimation Error for Causal Forecasting model based on headcount: __________________

Explanation of the difference in values:

Question 3d (20 points):

Considering your answers to Questions 3a, 3b and 3c and all the factors that have been described above, make your best forecast for July 2015.Show your forecast value below and explain and justify how you came up with this forecast.Finally, provide your recommendations to Mark on how to modify forecasting process and improve its accuracy.

Call Volume Forecast for July 2015 (My forecast): _________________

Explanation and Justification of Your Method:

Your Recommendations:

Part 1 (15 points):

Question 1a (5 points): Define a problem statement which reflects the challenge facing Mark as he planned for the opening of the new center.

Question 1b (5 points): Why was Mark's initial forecast of call volume so far off?What could have been the reasons for this?

Question 1c (5 points): What could Mark have done differently to improve his initial forecast?

Part 2 (25 points):

In answering the Part 2 questions, you should download and refer to Student Data File No. 1 (https://drive.google.com/file/d/1LhjVHt30oA61QQKjiQ7ueJyxjNTXAmlg/view?usp=sharing)

Question 2a (4 points): Describe the details of the Last Value method used by Harry and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Question 2b (4 points): Describe the details of the Averaging method used by Harry and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Question 2c (4points): Describe the details of the Moving Average (5 days) method used by Harry and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Question 2d (4points): Describe the details of the Exponential Smoothing (alpha = 0.1) method used by Harry and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Question 2e (4 points): Describe the details of the Exponential Smoothing (alpha = 0.7) method used by Harry and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Question 2f (5 points): Based on the analysis above, provide your recommendations to Mark on daily call volume forecasting to improve the scheduling of the call enter staff. You must recommend a forecasting model as a part of your answer.

Part 3 (50 points):

In answering the Part 3 questions, you should download and refer to Cutting Edge Student Data File No. 2 (https://drive.google.co

m/file/d/1eWw5rOuteTce1EfX8VIQDklMDsBsWBvl/view?usp=sharing)

Question 3a (10 points):

1.Prepare forecast of call volume for July 2015 by applying Exponential Smoothing (with alpha = 0.5) to the prior 18 months of data.

2.Use the appropriate Excel template (Exponential_Smoothing (without seasonality. xlsx) to make your forecast and assume that initial call volume is 24,000.Show your forecast below.

3.Call Volume Forecast for July 2015 (Exponential Smoothing, alpha=0.5): _________________

Question 3b (10 points):

1.Apply Linear Regression to predict call volume from head count using the appropriate Excel template (Linerar_Regression Model.xlsx).

2.Based on the upcoming acquisition of Cutter Corp on 7/1/2015, the forecast of head count for July 2015 is 77,000 (Estimator x value). Show your forecast below.

3.Call Volume Forecast for July 2015 (Causal Forecasting based on head count): _________________

Question 3c (10 points):

1.Calculate the Mean absolute deviation value of the Exponential Smoothing model (Question 3a)

2.Average Estimation Error of the Linear Regression model (Question 3b).You will need to employ the Excel AVERAGE function for the Linear Regression Average Estimation Error (Cell: F36).

3.Explain the difference between the MAD and Agv Est Error values.

4.Mean absolute deviation of Exponential Smoothing model, alpha=0.5: ______________________

5.Average Estimation Error for Causal Forecasting model based on headcount: __________________

6.Explanation of the difference in values:

Question 3d (20 points):

1.Considering your answers to Questions 3a, 3b and 3c and all the factors that have been described above, make your best forecast for July 2015.

2.Show your forecast value below and explain and justify how you came up with this forecast.

3.Finally, provide your recommendations to Mark on how to modify forecasting process and improve its accuracy.

4.Call Volume Forecast for July 2015 (My forecast): _________________

5.Explanation and Justification of Your Method:

Your Recommendations:

Additional data files

Student Data File No. 1 (https://drive.google.com/file/d/1LhjVHt30oA61QQKjiQ7ueJyxjNTXAmlg/view?usp=sharing)

Cutting Edge Student Data File No. 2 (https://drive.google.co

m/file/d/1eWw5rOuteTce1EfX8VIQDklMDsBsWBvl/view?usp=sharing)

Case Study link:

https://drive.google.com/file/d/1Mmw4HKQ-wPZTtB2X_xpmeR89mzFjQtuo/view?usp=sharing

Exponential Smoothing (without seasonality) link

https://drive.google.com/file/d/1C2ihagKT0LI8DQfzs3TnyOGXoS21ce4k/view?usp=sharing

Linear_Regression Model.xlsx

https://drive.google.com/file/d/17Gr4N8aiTIpzOl0WaddCTB8eeSc58GNN/view?usp=sharing