***Complete the following problem using Excel, Orange, and RapidMiner. Create a presentation slide deck of 5-10 slides that explain your findings. You will not get exactly the same answers across the various software packages. Compare and contrast these results as you explain your findings. Lastly, use specific slides in your presentation to also answer the 4 prompts below (A, B, C, D).

Prepare a report for the managers of the Carlson Department Store that summarizes your findings, forecasts, and recommendations. Include the following: A. An estimate of sales for Carlson Department Store had there been no hurricane. B. An estimate of countywide department store sales had there been no hurricane. C. An estimate of lost sales for the Carlson Department Store for September through December. D. Use the countywide actual department stores sales for September through December ar the estimate in part (b) to make a case for or against excess storm-related sales. Complete the following problems taken from BUSINESS ANALYTICS by Jeffrey D. Camm et al. 1. Forecasting Lost Sales 2 carlsonsales.xlsx 4 countysales.xlsx The Carlson Department Store suffered heavy damage when a hurricane struck on August 31. The store was closed for four months (September through December), and Carlson is now involved in a dispute with its insurance company about the amount of lost sales during the time the store was closed. Two key issues must be resolved: (1) the amount of sales Carlson would have made if the hurricane had not struck and (2) whether Carlson is entitled to any compensation for excess sales due to increased business activity after the storm. More than $8 billion in federal disaster relief and insurance money came into the county, resulting in increased sales at department stores and numerous other businesses. \begin{tabular}{|l|l|l|r|r|r|} \hline & A & \multicolumn{1}{|c|}{ B } & \multicolumn{1}{|c|}{ C } & \multicolumn{1}{c|}{ D } & E \\ \hline \hline 30 & 4 & January & 29 & 2.31 & \\ \hline 31 & 4 & February & 30 & 1.99 & \\ \hline 32 & 4 & March & 31 & 2.42 & \\ \hline 33 & 4 & April & 32 & 2.45 & \\ \hline 34 & 4 & May & 33 & 2.57 & \\ \hline 35 & 4 & June & 34 & 2.42 & \\ \hline 36 & 4 & July & 35 & 2.40 & \\ \hline 37 & 4 & August & 36 & 2.50 & \\ \hline 38 & 4 & September & 37 & 2.09 & \\ \hline 39 & 4 & October & 38 & 2.54 & \\ \hline 40 & 4 & November & 39 & 2.97 & \\ \hline 41 & 4 & December & 40 & 4.35 & \\ \hline 42 & 5 & January & 41 & 2.56 & \\ \hline 43 & 5 & February & 42 & 2.28 & \\ \hline 44 & 5 & March & 43 & 2.69 & \\ \hline 45 & 5 & April & 44 & 2.48 & \\ \hline 46 & 5 & May & 45 & 2.73 & \\ \hline 47 & 5 & June & 46 & 2.37 & \\ \hline 48 & 5 & July & 47 & 2.31 & \\ \hline 49 & 5 & August & 48 & 2.23 & \\ \hline 50 & & & & \\ \hline \end{tabular} \begin{tabular}{|c|c|l|r|r|r|} \hline & A & \multicolumn{1}{|c|}{ B } & \multicolumn{1}{|c|}{ C } & \multicolumn{1}{|c|}{ D } & E \\ \hline 1 & Year & Month & Period & Sales & \\ \hline 2 & 1 & September & 1 & 1.71 & \\ \hline 3 & 1 & October & 2 & 1.90 & \\ \hline 4 & 1 & November & 3 & 2.74 & \\ \hline 5 & 1 & December & 4 & 4.20 & \\ \hline 6 & 2 & January & 5 & 1.45 & \\ \hline 7 & 2 & February & 6 & 1.80 & \\ \hline 8 & 2 & March & 7 & 2.03 & \\ \hline 9 & 2 & April & 8 & 1.99 & \\ \hline 10 & 2 & May & 9 & 2.32 \\ \hline 11 & 2 & June & 10 & 2.20 & \\ \hline 12 & 2 & July & 11 & 2.13 & \\ \hline 13 & 2 & August & 12 & 2.43 & \\ \hline 14 & 2 & September & 13 & 1.90 & \\ \hline 15 & 2 & October & 14 & 2.13 & \\ \hline 16 & 2 & November & 15 & 2.56 & \\ \hline 17 & 2 & December & 16 & 4.16 & \\ \hline 18 & 3 & January & 17 & 2.31 & \\ \hline 19 & 3 & February & 18 & 1.89 & \\ \hline 20 & 3 & March & 19 & 2.02 & \\ \hline 21 & 3 & April & 20 & 2.23 & \\ \hline 22 & 3 & May & 21 & 2.39 & \\ \hline 23 & 3 & June & 22 & 2.14 & \\ \hline 24 & 3 & July & 23 & 2.27 & \\ \hline 25 & 3 & August & 24 & 2.21 & \\ \hline 26 & 3 & September & 25 & 1.89 & \\ \hline 27 & 3 & October & 26 & 2.29 & \\ \hline 28 & 3 & November & 27 & 2.83 & \\ \hline 29 & 3 & December & 28 & 4.04 & \\ \hline \end{tabular} \begin{tabular}{|r|r|r|r|r|} \hline & \multicolumn{1}{|c|}{ A } & \multicolumn{1}{|c|}{ B } & \multicolumn{1}{c|}{ C } \\ \hline 1 & Year & Month & Sales \\ \hline 2 & 1 & September & 55.8 \\ \hline 3 & & October & 56.4 \\ \hline 4 & & November & 71.4 \\ \hline 5 & & December & 117.6 \\ \hline 6 & 2 & January & 46.8 \\ \hline 7 & & February & 48.0 \\ \hline 8 & & March & 60.0 \\ \hline 9 & & April & 57.6 \\ \hline 10 & & May & 61.8 \\ \hline 11 & & June & 58.2 \\ \hline 12 & & July & 56.4 \\ \hline 13 & & August & 63.0 \\ \hline 14 & & September & 57.6 \\ \hline 15 & & October & 53.4 \\ \hline 16 & & November & 71.4 \\ \hline 17 & & December & 114.0 \\ \hline 18 & 3 & January & 46.8 \\ \hline 19 & & February & 48.6 \\ \hline 20 & & March & 59.4 \\ \hline 21 & & April & 58.2 \\ \hline 22 & & May & 60.6 \\ \hline 23 & & June & 55.2 \\ \hline 24 & & July & 51.0 \\ \hline 25 & & August & 58.8 \\ \hline 26 & & September & 49.8 \\ \hline 27 & & October & 54.6 \\ \hline 28 & & November & 65.4 \\ \hline 29 & & December & 102.0 \\ \hline \end{tabular} \begin{tabular}{|c|c|c|c|} \hline 30 & 4 & January & 43.8 \\ \hline 31 & & February & 45.6 \\ \hline 32 & & March & 57.6 \\ \hline 33 & & April & 53.4 \\ \hline 34 & & May & 56.4 \\ \hline 35 & & June & 52.8 \\ \hline 36 & & July & 54.0 \\ \hline 37 & & August & 60.6 \\ \hline 38 & & September & 47.4 \\ \hline 39 & & October & 54.6 \\ \hline 40 & & November & 67.8 \\ \hline 41 & & December & 100.2 \\ \hline 42 & 5 & January & 48.0 \\ \hline 43 & & February & 51.6 \\ \hline 44 & & March & 57.6 \\ \hline 45 & & April & 58.2 \\ \hline 46 & & May & 60.0 \\ \hline 47 & & June & 57.0 \\ \hline 48 & & July & 57.6 \\ \hline 49 & & August & 61.8 \\ \hline 50 & & September & 69.0 \\ \hline 51 & & October & 75.0 \\ \hline 52 & & November & 85.2 \\ \hline 53 & & December & 121.8 \\ \hline \end{tabular} The above two tables give (1) Carlson's sales data for the 48 months preceding the storm and (2) the total sales for the 48 months preceding the storm for all department stores in the county, as well as the total sales in the county for the four months the Carlson Department Store was closed. Carlson's managers asked you to analyze these data and develop estimates of the lost sales at the Carlson Department Store for the months of September through December. They also asked you to determine whether a case can be made for excess storm-related sales during the same period. If such a case can be made, Carlson is entitled to compensation for excess sales it would have earned in addition to ordinary sales. Prepare a report for the managers of the Carlson Department Store that summarizes your findings, forecasts, and recommendations. Include the following: Prepare a report for the managers of the Carlson Department Store that summarizes your findings, forecasts, and recommendations. Include the following: A. An estimate of sales for Carlson Department Store had there been no hurricane. B. An estimate of countywide department store sales had there been no hurricane. C. An estimate of lost sales for the Carlson Department Store for September through December. D. Use the countywide actual department stores sales for September through December ar the estimate in part (b) to make a case for or against excess storm-related sales. Complete the following problems taken from BUSINESS ANALYTICS by Jeffrey D. Camm et al. 1. Forecasting Lost Sales 2 carlsonsales.xlsx 4 countysales.xlsx The Carlson Department Store suffered heavy damage when a hurricane struck on August 31. The store was closed for four months (September through December), and Carlson is now involved in a dispute with its insurance company about the amount of lost sales during the time the store was closed. Two key issues must be resolved: (1) the amount of sales Carlson would have made if the hurricane had not struck and (2) whether Carlson is entitled to any compensation for excess sales due to increased business activity after the storm. More than $8 billion in federal disaster relief and insurance money came into the county, resulting in increased sales at department stores and numerous other businesses. \begin{tabular}{|l|l|l|r|r|r|} \hline & A & \multicolumn{1}{|c|}{ B } & \multicolumn{1}{|c|}{ C } & \multicolumn{1}{c|}{ D } & E \\ \hline \hline 30 & 4 & January & 29 & 2.31 & \\ \hline 31 & 4 & February & 30 & 1.99 & \\ \hline 32 & 4 & March & 31 & 2.42 & \\ \hline 33 & 4 & April & 32 & 2.45 & \\ \hline 34 & 4 & May & 33 & 2.57 & \\ \hline 35 & 4 & June & 34 & 2.42 & \\ \hline 36 & 4 & July & 35 & 2.40 & \\ \hline 37 & 4 & August & 36 & 2.50 & \\ \hline 38 & 4 & September & 37 & 2.09 & \\ \hline 39 & 4 & October & 38 & 2.54 & \\ \hline 40 & 4 & November & 39 & 2.97 & \\ \hline 41 & 4 & December & 40 & 4.35 & \\ \hline 42 & 5 & January & 41 & 2.56 & \\ \hline 43 & 5 & February & 42 & 2.28 & \\ \hline 44 & 5 & March & 43 & 2.69 & \\ \hline 45 & 5 & April & 44 & 2.48 & \\ \hline 46 & 5 & May & 45 & 2.73 & \\ \hline 47 & 5 & June & 46 & 2.37 & \\ \hline 48 & 5 & July & 47 & 2.31 & \\ \hline 49 & 5 & August & 48 & 2.23 & \\ \hline 50 & & & & \\ \hline \end{tabular} \begin{tabular}{|c|c|l|r|r|r|} \hline & A & \multicolumn{1}{|c|}{ B } & \multicolumn{1}{|c|}{ C } & \multicolumn{1}{|c|}{ D } & E \\ \hline 1 & Year & Month & Period & Sales & \\ \hline 2 & 1 & September & 1 & 1.71 & \\ \hline 3 & 1 & October & 2 & 1.90 & \\ \hline 4 & 1 & November & 3 & 2.74 & \\ \hline 5 & 1 & December & 4 & 4.20 & \\ \hline 6 & 2 & January & 5 & 1.45 & \\ \hline 7 & 2 & February & 6 & 1.80 & \\ \hline 8 & 2 & March & 7 & 2.03 & \\ \hline 9 & 2 & April & 8 & 1.99 & \\ \hline 10 & 2 & May & 9 & 2.32 \\ \hline 11 & 2 & June & 10 & 2.20 & \\ \hline 12 & 2 & July & 11 & 2.13 & \\ \hline 13 & 2 & August & 12 & 2.43 & \\ \hline 14 & 2 & September & 13 & 1.90 & \\ \hline 15 & 2 & October & 14 & 2.13 & \\ \hline 16 & 2 & November & 15 & 2.56 & \\ \hline 17 & 2 & December & 16 & 4.16 & \\ \hline 18 & 3 & January & 17 & 2.31 & \\ \hline 19 & 3 & February & 18 & 1.89 & \\ \hline 20 & 3 & March & 19 & 2.02 & \\ \hline 21 & 3 & April & 20 & 2.23 & \\ \hline 22 & 3 & May & 21 & 2.39 & \\ \hline 23 & 3 & June & 22 & 2.14 & \\ \hline 24 & 3 & July & 23 & 2.27 & \\ \hline 25 & 3 & August & 24 & 2.21 & \\ \hline 26 & 3 & September & 25 & 1.89 & \\ \hline 27 & 3 & October & 26 & 2.29 & \\ \hline 28 & 3 & November & 27 & 2.83 & \\ \hline 29 & 3 & December & 28 & 4.04 & \\ \hline \end{tabular} \begin{tabular}{|r|r|r|r|r|} \hline & \multicolumn{1}{|c|}{ A } & \multicolumn{1}{|c|}{ B } & \multicolumn{1}{c|}{ C } \\ \hline 1 & Year & Month & Sales \\ \hline 2 & 1 & September & 55.8 \\ \hline 3 & & October & 56.4 \\ \hline 4 & & November & 71.4 \\ \hline 5 & & December & 117.6 \\ \hline 6 & 2 & January & 46.8 \\ \hline 7 & & February & 48.0 \\ \hline 8 & & March & 60.0 \\ \hline 9 & & April & 57.6 \\ \hline 10 & & May & 61.8 \\ \hline 11 & & June & 58.2 \\ \hline 12 & & July & 56.4 \\ \hline 13 & & August & 63.0 \\ \hline 14 & & September & 57.6 \\ \hline 15 & & October & 53.4 \\ \hline 16 & & November & 71.4 \\ \hline 17 & & December & 114.0 \\ \hline 18 & 3 & January & 46.8 \\ \hline 19 & & February & 48.6 \\ \hline 20 & & March & 59.4 \\ \hline 21 & & April & 58.2 \\ \hline 22 & & May & 60.6 \\ \hline 23 & & June & 55.2 \\ \hline 24 & & July & 51.0 \\ \hline 25 & & August & 58.8 \\ \hline 26 & & September & 49.8 \\ \hline 27 & & October & 54.6 \\ \hline 28 & & November & 65.4 \\ \hline 29 & & December & 102.0 \\ \hline \end{tabular} \begin{tabular}{|c|c|c|c|} \hline 30 & 4 & January & 43.8 \\ \hline 31 & & February & 45.6 \\ \hline 32 & & March & 57.6 \\ \hline 33 & & April & 53.4 \\ \hline 34 & & May & 56.4 \\ \hline 35 & & June & 52.8 \\ \hline 36 & & July & 54.0 \\ \hline 37 & & August & 60.6 \\ \hline 38 & & September & 47.4 \\ \hline 39 & & October & 54.6 \\ \hline 40 & & November & 67.8 \\ \hline 41 & & December & 100.2 \\ \hline 42 & 5 & January & 48.0 \\ \hline 43 & & February & 51.6 \\ \hline 44 & & March & 57.6 \\ \hline 45 & & April & 58.2 \\ \hline 46 & & May & 60.0 \\ \hline 47 & & June & 57.0 \\ \hline 48 & & July & 57.6 \\ \hline 49 & & August & 61.8 \\ \hline 50 & & September & 69.0 \\ \hline 51 & & October & 75.0 \\ \hline 52 & & November & 85.2 \\ \hline 53 & & December & 121.8 \\ \hline \end{tabular} The above two tables give (1) Carlson's sales data for the 48 months preceding the storm and (2) the total sales for the 48 months preceding the storm for all department stores in the county, as well as the total sales in the county for the four months the Carlson Department Store was closed. Carlson's managers asked you to analyze these data and develop estimates of the lost sales at the Carlson Department Store for the months of September through December. They also asked you to determine whether a case can be made for excess storm-related sales during the same period. If such a case can be made, Carlson is entitled to compensation for excess sales it would have earned in addition to ordinary sales. Prepare a report for the managers of the Carlson Department Store that summarizes your findings, forecasts, and recommendations. Include the following