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Hello. Please c arefully read instructions , as they are different than other questions posted. Thank you. Case 7.1 Bubble Up Bottling Company Prepare forecast

Hello. Please carefully read instructions, as they are different than other questions posted.

Thank you.

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Case 7.1 Bubble Up Bottling Company Prepare forecast for the soft drink industry using seasonal method. Prepare market share forecast using linear regression method. Calculate Bubble Up Company forecast by multiplying market share with industry forecast. Prepare a 2 to 3 page report single space to present your analysis and attach computer printouts to the report. Answer to Computer Assignment FAQ: Question #1) How to calculate Bubble up company forecast? Steps Calculate forecast for soft drink industry by using seasonal model. Calculate Bubble Up Company's market share of the industry sales using linear regression model Calculate Bubble Up company's forecast by taking market share percent of the industry sales. For example, if the industry sales for a quarter are 100,000 units and Bubble Up market share for the same quarter is 7%, then Bubble Up sales forecast for that quarter will be 7.000 units. Case 7.1 Bubble Up Bottling Company Prepare forecast for the soft drink industry using seasonal method. Prepare market share forecast using linear regression method. Calculate Bubble Up Company forecast by multiplying market share with industry forecast. Prepare a 2 to 3 page report single space to present your analysis and attach computer printouts to the report. Answer to Computer Assignment FAQ: Question #1) How to calculate Bubble up company forecast? Steps Calculate forecast for soft drink industry by using seasonal model. Calculate Bubble Up Company's market share of the industry sales using linear regression model Calculate Bubble Up company's forecast by taking market share percent of the industry sales. For example, if the industry sales for a quarter are 100,000 units and Bubble Up market share for the same quarter is 7%, then Bubble Up sales forecast for that quarter will be 7.000 units

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