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. Computeb1andb0(to 2 decimals if necessary).

b1

b0

1. Complete the estimated regression equation (to 2 decimals if necessary).

^Y=...+....x

1. What is the variable cost per unit produced (to 1 decimal)?

1. Compute the coefficient of determination (to 4 decimals). Note: reportr2between 0 and 1.

r2=

1. What percentage of the variation in total cost can be explained by the production volume (to 2 decimals)?

1. 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)?