Economic plausibility between the number of units, inspection labor hour with the inspection cost.

Question

Want to see the full answer?

Answer 1

Question

Chapter 10, Problem 10.33P

1.

To determine

To explain: Economic plausibility between the number of units, inspection labor hour with the inspection cost.

2.

To determine

To explain: Plot the date and regression line for the units inspected and inspection costs, regression line for the labor hours and inspected cost and choose the cost driver of inspection cost which is better.

3.

To determine

the inspection cost budgeted

Given information:

Slope coefficient is 2.02.

Intercept coefficient is $98.79.

Numbers of the unit inspector is 1,500.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 2

Question

Chapter 10, Problem 10.33P

1.

To determine

To explain: Economic plausibility between the number of units, inspection labor hour with the inspection cost.

2.

To determine

To explain: Plot the date and regression line for the units inspected and inspection costs, regression line for the labor hours and inspected cost and choose the cost driver of inspection cost which is better.

3.

To determine

the inspection cost budgeted

Given information:

Slope coefficient is 2.02.

Intercept coefficient is $98.79.

Numbers of the unit inspector is 1,500.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 3

Question

Chapter 10, Problem 10.33P

1.

To determine

To explain: Economic plausibility between the number of units, inspection labor hour with the inspection cost.

2.

To determine

To explain: Plot the date and regression line for the units inspected and inspection costs, regression line for the labor hours and inspected cost and choose the cost driver of inspection cost which is better.

3.

To determine

the inspection cost budgeted

Given information:

Slope coefficient is 2.02.

Intercept coefficient is $98.79.

Numbers of the unit inspector is 1,500.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 4

Question

Chapter 10, Problem 10.33P

1.

To determine

To explain: Economic plausibility between the number of units, inspection labor hour with the inspection cost.

2.

To determine

To explain: Plot the date and regression line for the units inspected and inspection costs, regression line for the labor hours and inspected cost and choose the cost driver of inspection cost which is better.

3.

To determine

the inspection cost budgeted

Given information:

Slope coefficient is 2.02.

Intercept coefficient is $98.79.

Numbers of the unit inspector is 1,500.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 5

Chapter 10, Problem 10.33P

1.

To determine

To explain: Economic plausibility between the number of units, inspection labor hour with the inspection cost.

2.

To determine

To explain: Plot the date and regression line for the units inspected and inspection costs, regression line for the labor hours and inspected cost and choose the cost driver of inspection cost which is better.

3.

To determine

the inspection cost budgeted

Given information:

Slope coefficient is 2.02.

Intercept coefficient is $98.79.

Numbers of the unit inspector is 1,500.

Answer 6

Chapter 10, Problem 10.33P

1.

To determine

To explain: Economic plausibility between the number of units, inspection labor hour with the inspection cost.

Answer 7

Chapter 10, Problem 10.33P

1.

To determine

To explain: Economic plausibility between the number of units, inspection labor hour with the inspection cost.

Answer 8

2.

To determine

To explain: Plot the date and regression line for the units inspected and inspection costs, regression line for the labor hours and inspected cost and choose the cost driver of inspection cost which is better.

Answer 9

2.

To determine

To explain: Plot the date and regression line for the units inspected and inspection costs, regression line for the labor hours and inspected cost and choose the cost driver of inspection cost which is better.

Answer 10

3.

To determine

the inspection cost budgeted

Given information:

Slope coefficient is 2.02.

Intercept coefficient is $98.79.

Numbers of the unit inspector is 1,500.

Answer 11

3.

To determine

the inspection cost budgeted

Given information:

Slope coefficient is 2.02.

Intercept coefficient is $98.79.

Numbers of the unit inspector is 1,500.

Answer 12

Expert Solution & Answer

Answer 13

Expert Solution & Answer

Answer 14

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 15

Ch. 10 - What two assumptions are frequently made when...Ch. 10 - Describe three alternative linear cost functions.Ch. 10 - What is the difference between a linear and a...Ch. 10 - High correlation between two variables means that...Ch. 10 - Name four approaches to estimating a cost...Ch. 10 - Describe the conference method for estimating a...Ch. 10 - Describe the account analysis method for...Ch. 10 - List the six steps in estimating a cost function...Ch. 10 - When using the high-low method, should you base...Ch. 10 - Describe three criteria for evaluating cost...

Economic plausibility between the number of units, inspection labor hour with the inspection cost.

To explain: Economic plausibility between the number of units, inspection labor hour with the inspection cost.

To explain: Plot the date and regression line for the units inspected and inspection costs, regression line for the labor hours and inspected cost and choose the cost driver of inspection cost which is better.

the inspection cost budgeted Given information: Slope coefficient is 2.02. Intercept coefficient is $98.79. Numbers of the unit inspector is 1,500.

Want to see the full answer?

Chapter 10 Solutions

the inspection cost budgeted

Given information:

Slope coefficient is 2.02.

Intercept coefficient is $98.79.

Numbers of the unit inspector is 1,500.