Question

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. In the Microsoft Excel Online file below you will find a sample of production volumes and total cost data for a manufacturing operation. Conduct a regression analysis to explore the relationship between total cost and production volume and then answer the questions that follow. Production Volume (units) Total Cost ($) 400 4100 450 5100 550 5500 600 6000 700 6500 750 7100 Production Target Est. Cost ($) 500 Compute b1 and b0 (to 1 decimal). b1 b0 Complete the estimated regression equation (to 1 decimal). Y = _ + __x According to this model, what is the change in cost (in dollars) for every unit produced (to 1 decimal)? Compute the coefficient of determination (to 3 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 1 decimal)? = % The company's production schedule shows 500 units must be produced next month. What is the estimated total cost for this operation (to the nearest whole number)? $

          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.
In the Microsoft Excel Online file below you will find a sample
of production volumes and total cost data for a manufacturing
operation. Conduct a regression analysis to explore the
relationship between total cost and production volume and then
answer the questions that follow.
Production Volume (units)
Total Cost ($)
400
4100
450
5100
550
5500
600
6000
700
6500
750
7100
Production Target
Est. Cost ($)
500
Compute b1 and b0 (to
1 decimal).
b1
b0
Complete the estimated regression equation (to 1 decimal).
Y = _ + __x
According to this model, what is the change in cost (in dollars)
for every unit produced (to 1 decimal)?
Compute the coefficient of determination (to 3 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 1 decimal)?
= %
The company's production schedule shows 500 units must be
produced next month. What is the estimated total cost for this
operation (to the nearest whole number)?
$

Added by Fernando G.

Question

Please give Ace some feedback