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On the Data Tables - Student tab in your Excel spreadsheet, update the given information section of the Income Statement for Hello Company with the data below: Units Price per unit. Variable expense per unit Total Fixed Costs Income Statement SCENARIO 1 Product A Product B Product C Required: 2. Using the Data Table What-lf Analysis tool in Excel, determine the Units and Operating Income (Loss) for each product based on the following scenarios. (Hint: Don't forget that the warehouse can only hold up to 53,000 units.) Scenario 1: Pete wants to find the mix of units that will result in the highest overall Operating Income, perform this analysis using a two variable data table. Product A can vary between 41,000 units and a maximum of 46,000 units. Product B can vary between 4,000 units and a maximum of 9,000 units. Both Products A and B are manufactured in 1,000-unit increments. The production level of Product C is the same each month at 3,000 units. SCENARIO 2 Product A Product B Product C Units Product A 44,000 $ 11.00 $ 4.00 $20,000 46,000 $ 4,000 $ 3,000 $ 53,000 $ Units Operating Income (Loss) 40,000 10,000 3,000 53,000 $ 288,000 (4,000) 110,000 394,000 Scenario 2: Pete wants each product line in the mix to be profitable. Use a One Variable Data Table and then determine the number of units for each product that should be produced (to the nearest thousand) to make each product line profitable. Product B 6,000 $ 8.00 $ 2.00 $40,000 Operating Income (Loss) Product C 3,000 $ 60.00 $ 20.00 $10,000 Max Capacity 53,000 0

On the Data Tables - Student tab in your Excel spreadsheet, update the given information section of the Income Statement for Hello Company with the data below: Units Price per unit. Variable expense per unit Total Fixed Costs Income Statement SCENARIO 1 Product A Product B Product C Required: 2. Using the Data Table What-lf Analysis tool in Excel, determine the Units and Operating Income (Loss) for each product based on the following scenarios. (Hint: Don't forget that the warehouse can only hold up to 53,000 units.) Scenario 1: Pete wants to find the mix of units that will result in the highest overall Operating Income, perform this analysis using a two variable data table. Product A can vary between 41,000 units and a maximum of 46,000 units. Product B can vary between 4,000 units and a maximum of 9,000 units. Both Products A and B are manufactured in 1,000-unit increments. The production level of Product C is the same each month at 3,000 units. SCENARIO 2 Product A Product B Product C Units Product A 44,000 $ 11.00 $ 4.00 $20,000 46,000 $ 4,000 $ 3,000 $ 53,000 $ Units Operating Income (Loss) 40,000 10,000 3,000 53,000 $ 288,000 (4,000) 110,000 394,000 Scenario 2: Pete wants each product line in the mix to be profitable. Use a One Variable Data Table and then determine the number of units for each product that should be produced (to the nearest thousand) to make each product line profitable. Product B 6,000 $ 8.00 $ 2.00 $40,000 Operating Income (Loss) Product C 3,000 $ 60.00 $ 20.00 $10,000 Max Capacity 53,000 0

Excel Applications for Accounting Principles
Excel Applications for Accounting Principles
4th Edition
ISBN:9781111581565
Author:Gaylord N. Smith
Publisher:Gaylord N. Smith
Chapter19: Variable Costing (varcost)
Section: Chapter Questions
Problem 4R: To determine the effect of different levels of production on the company’s income, move to cell B7...
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On the Data Tables - Student tab in your Excel spreadsheet, update the given information section of the Income Statement for Hello Company with the data below: Units Price per unit. Variable expense per unit Total Fixed Costs Income Statement SCENARIO 1 Product A Product B Product C Required: 2. Using the Data Table What-lf Analysis tool in Excel, determine the Units and Operating Income (Loss) for each product based on the following scenarios. (Hint: Don't forget that the warehouse can only hold up to 53,000 units.) Scenario 1: Pete wants to find the mix of units that will result in the highest overall Operating Income, perform this analysis using a two variable data table. Product A can vary between 41,000 units and a maximum of 46,000 units. Product B can vary between 4,000 units and a maximum of 9,000 units. Both Products A and B are manufactured in 1,000-unit increments. The production level of Product C is the same each month at 3,000 units. SCENARIO 2 Product A Product B Product C Units Product A 44,000 $ 11.00 $ 4.00 $20,000 46,000 $ 4,000 $ 3,000 $ 53,000 $ Units Operating Income (Loss) 40,000 10,000 3,000 53,000 $ 288,000 (4,000) 110,000 394,000 Scenario 2: Pete wants each product line in the mix to be profitable. Use a One Variable Data Table and then determine the number of units for each product that should be produced (to the nearest thousand) to make each product line profitable. Product B 6,000 $ 8.00 $ 2.00 $40,000 Operating Income (Loss) Product C 3,000 $ 60.00 $ 20.00 $10,000 Max Capacity 53,000 0
Transcribed Image Text:On the Data Tables - Student tab in your Excel spreadsheet, update the given information section of the Income Statement for Hello Company with the data below: Units Price per unit. Variable expense per unit Total Fixed Costs Income Statement SCENARIO 1 Product A Product B Product C Required: 2. Using the Data Table What-lf Analysis tool in Excel, determine the Units and Operating Income (Loss) for each product based on the following scenarios. (Hint: Don't forget that the warehouse can only hold up to 53,000 units.) Scenario 1: Pete wants to find the mix of units that will result in the highest overall Operating Income, perform this analysis using a two variable data table. Product A can vary between 41,000 units and a maximum of 46,000 units. Product B can vary between 4,000 units and a maximum of 9,000 units. Both Products A and B are manufactured in 1,000-unit increments. The production level of Product C is the same each month at 3,000 units. SCENARIO 2 Product A Product B Product C Units Product A 44,000 $ 11.00 $ 4.00 $20,000 46,000 $ 4,000 $ 3,000 $ 53,000 $ Units Operating Income (Loss) 40,000 10,000 3,000 53,000 $ 288,000 (4,000) 110,000 394,000 Scenario 2: Pete wants each product line in the mix to be profitable. Use a One Variable Data Table and then determine the number of units for each product that should be produced (to the nearest thousand) to make each product line profitable. Product B 6,000 $ 8.00 $ 2.00 $40,000 Operating Income (Loss) Product C 3,000 $ 60.00 $ 20.00 $10,000 Max Capacity 53,000 0
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