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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?

  • $22,707

  • $63,100

  • $174,570

  • $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?

  • $50,000

  • $145,000

  • $5,000

  • $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?

  • 9,500

  • 2,500

  • 15,000

  • 5,500

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