Question
Macomb Inc. used Excel to run a least-squares regression analysis on the production cost data resulting in the following output: Regression Statistics Multiple R 0.9840
Macomb Inc. used Excel to run a least-squares regression analysis on the production cost data resulting in the following output:
Regression Statistics | |
Multiple R | 0.9840 |
R Square | 0.9602 |
Observations | 30 |
Coefficients | Standard Error | T Stat | P-Value | |
Intercept | 174,650 | 61,250 | 2.85 | 0.021 |
Production units (X) | 11.53 | 0.9249 | 12.47 | 0.000 |
What total cost would Macomb predict for a month in which production is 2,000 units?
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$22,707
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$63,100
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$174,570
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$197,710
Oakland Corp. has a selling price of $33 per unit, variable costs of $29 per unit, and total fixed costs of $20,000 per year. What sales revenue is needed to break-even?
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$50,000
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$145,000
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$5,000
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$165,000
Ingham Corp. has a selling price of $36 per unit, and variable costs of $30 per unit. When 15,000 units are sold, profits equaled $33,000. How many units must be sold to break-even?
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9,500
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2,500
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15,000
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5,500
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