Question

In: Statistics and Probability

An important application of regression analysis in accounting is in the estimation of cost. By collecting...

An important application of regression analysis in accounting is in the estimation of cost. By collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. Consider the following sample of production volumes and total cost data for a manufacturing operation.

Production Volume (units) Total Cost ($)
400 4000
450 5000
550 5400
600 5900
700 6400
750 7000
  1. Compute b1 and b0 (to 2 decimals if necessary).
    b1  
    b0  

    Complete the estimated regression equation (to 2 decimals if necessary).
    =  +  x
  2. What is the variable cost per unit produced (to 1 decimal)?
    $
  3. Compute the coefficient of determination (to 4 decimals). Note: report r2 between 0 and 1.
    r2 =  

    What percentage of the variation in total cost can be explained by the production volume (to 2 decimals)?
    %
  4. The company's production schedule shows 500 units must be produced next month. What is the estimated total cost for this operation (to 2 decimals)?
    $

Solutions

Expert Solution

The statistical software output for this problem is :

(a)

b1 = 7.6

b0 = 1246.67

= 1246.67 + 7.6 x

(b)

Variable cost = $ 7.9

(c)

r 2 = 0.9587

95.87%

(d)

$ 5046.67


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