Questions
. In short, describe Medicare, the cost to the individual and government, and in your opinion...

. In short, describe Medicare, the cost to the individual and government, and in your opinion is Medicare for all a good idea.

In: Economics

People in the aerospace industry believe the cost of a space project is a function of...

People in the aerospace industry believe the cost of a space project is a function of the mass of the major object being sent into space. Use the following data to develop a regression model to predict the cost of a space project by the mass of the space object. Determine r2 and se. Weight (tons) Cost ($ millions) 1.897 $ 53.6 3.019 184.0 0.453 6.4 0.967 23.5 1.058 34.1 2.100 110.4 2.371 104.6 *(Do not round the intermediate values. Round your answers to 4 decimal places.) **(Round the intermediate values to 4 decimal places. Round your answer to 3 decimal places.) ŷ = enter a number rounded to 4 decimal places * + enter a number rounded to 4 decimal places * x r2 = enter a number rounded to 3 decimal places ** se = enter a number rounded to 3 decimal places **

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 4,200
450 5,200
550 5,600
600 6,100
700 6,600
750 7,200
  1. Compute b1 and b0 (to 1 decimal).
    b1
    b0

    Complete the estimated regression equation (to 1 decimal).
    ŷ = + x
  2. What is the variable cost per unit produced (to 1 decimal)?

  3. 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)?
    %
  4. 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)?

In: Statistics and Probability

Which of the following illustrates a purpose for allocating costs to cost objects?

1

Which of the following illustrates a purpose for allocating costs to cost objects?

A) to defer income and reduce taxes payable

B) to determine employee benefit costs

C) to motivate employees

D) to provide information for economic decisions

e) to reduce competition


2

The belief that corporate division with higher sales out to be allocated more of the company's advertising costs because it must of derived more benefit from the expenditures then a division with lower sales, is an example of which criteria for cost allocations decisions

A) fairness and equality

B) benefits receivied

C) cause and effect

D) ability to bear

E) benefits expended


3

Which cost allocation method differentiates between variable and fixed costs?

A) Heterogenous method

B) Single-rate method

C) variable method

D) Dual rate method

E) fixed rate method

In: Accounting

Which of the following is an appropriate definition of reduced cost? The amount by which a...

Which of the following is an appropriate definition of reduced cost?

The amount by which a constraint right-hand side must increase in order to get a unit increase in the objective function.
The amount an objective function coefficient must change in order for its associated decision variable to take on a value above its lower bound (0 in most cases).
The amount by which the objective function will change if a constraint right-hand-side is increased by one unit.
The amount by which a constraint right-hand-side must change in order to get the associated decision variable to take on a value above its lower bound.

In: Finance

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 4,100
450 5,100
550 5,500
600 6,000
700 6,500
750 7,100
  1. Compute b1 and b0 (to 1 decimal).
    b1
    b0

    Complete the estimated regression equation (to 1 decimal).
    =  +  x
  2. What is the variable cost per unit produced (to 1 decimal)?
    $
  3. 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)?
    %
  4. 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)?
    $

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 4,400
450 5,400
550 5,800
600 6,300
700 6,800
750 7,400
  1. Compute b1 and b0 (to 1 decimal).
    b1  
    b0  

    Complete the estimated regression equation (to 1 decimal).
    y =  +   
  2. What is the variable cost per unit produced (to 1 decimal)?
    $
  3. 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)?
    %
  4. 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)?

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 5000
450 6000
550 6400
600 6900
700 7400
750 8000
  1. Compute b1 and b0 (to 1 decimal).
    b1   
    b0   

    Complete the estimated regression equation (to 1 decimal).
    =   +  x
  2. What is the variable cost per unit produced (to 1 decimal)?
    $  
  3. 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)?
      %
  4. 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)?
    $  

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 5,000
450 6,000
550 6,400
600 6,900
700 7,400
750 8,000
  1. Compute b1 and b0 (to 1 decimal).
    b1
    b0

    Complete the estimated regression equation (to 1 decimal).
    =  +  x
  2. What is the variable cost per unit produced (to 1 decimal)?
    $
  3. 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)?
    %
  4. 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)?
    $

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 3,500
450 4,500
550 4,900
600 5,400
700 5,900
750 6,500
  1. Compute b1 and b0 (to 1 decimal).
    b1  
    b0  

    Complete the estimated regression equation (to 1 decimal).
    =   +  x
  2. What is the variable cost per unit produced (to 1 decimal)?
    $
  3. 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)?
      %
  4. 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)?
    $  

In: Statistics and Probability