Problem 1-1.
An important application of regression analysis in accounting is the estimation of costs. By collecting data on volume of production and costs, an accountant can estimate the cost associated with a particular manufacturing volume that can be recovered by the company. Additionally, the accountant would specifically find out “sunk costs” from the manufacturing process (a cost that has already been incurred and cannot be recovered). Consider the example of paper bags manufacturing. Collected data in table bellow show cost of production (thousand $) and volume (units) of bags.
VolumeProduced |
CostofProduction |
|
480 |
4.0 |
|
490 |
5.0 |
|
550 |
5.4 |
|
620 |
5.7 |
|
Mean |
535 |
5 |
1-a. Refer to Problem 1.
Calculate coefficient B1
0.01 |
87.62 |
8 |
45.08 |
1.b. Refer to Problem 1.
Calculate coefficient Bo
-0.7 |
-740 |
-281 |
-0.08 |
1.c. Refer to Problem 1.
The regression equation for this problem is......
yhat = -281 + 45X |
yhat = -0.08 +0.01X |
yhat = -740 + 87.62X |
yhat = -0.7 + 0.01X |
1.d Refer to Problem 1.
Provide an interpretation for the intercept coefficient.
1-e. Refer to Problem 1
Provide an interpretation for the slope coefficient.
Problem 1-1. An important application of regression analysis in accounting is the estimation of costs. By...
Problem 1-30-An important application of regression analysis in accounting is the estimation of costs. By collecting data on volume of production and costs, an accountant can estimate the cost associated with a particular manufacturing volume that can be recovered by the company Additionally, the accountant would specifically find outsunk costs from the manufacturing process cost that has already been incurred and cannot be recovered). Consider the example of paper bags manufacturing Collected data in table bellow show cost of production...
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...
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.a. Compute b1 and bo (to 2 decimals if necessary) Complete the estimated regression equation (to 2 decimals...
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 3,500 450 4,500 4,900 5,400 5,900 6,500 a. Compute...
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 ($) 400 4,000 450 5,000 550 5,400 5,900 700 6,400 750...
An important application of regression analysis in accounting is in the estimation of cost. By collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. Consider the following sample of production volumes and total cost data for a manufacturing operation. Production Volume (units) Total Cost ($) 400 3,700 450 4,700 550 5,100 600 5,600 700 6,100...
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 ($) 400 3,500 450 4,500 550 4,900 600 5,400 700 5,900...
An important application of regression analysis in accounting is in the estimation of cost. By collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. Consider the following sample of production volumes and total cost data for a manufacturing operation. Production Volume (units) Total Cost ($) 400 4,900 450 5,900 550 6,300 600 6,800 700 7,300...
21. 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 produc- tion volumes and total cost data for a manufacturing operation. Production Volume (units) 400 450 550 600 700 750 Total Cost ($) 4000 5000...
An important application of regression analysis in accounting is in the estimation of cost. By collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. Consider the following sample of production volumes and total cost data for a manufacturing operation. Production Volume (units) Total Cost ($) 400 3,900 450 5,100 550 5,400 600 5,900 700 6,400...