MA lecture 2 + workshop 1 Flashcards

tenta (14 cards)

1
Q

What are the two methods to fit cost functions to past data observations?

A

High-low method and regression analysis.

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2
Q

What is the independent variable (IV) in the context of cost functions?

A

cost driver

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3
Q

What is the dependent variable (DV) when analyzing cost functions?

A

Cost object

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4
Q

How does the high-low method determine the cost curve in a scatter plot?

A

By drawing a line between the highest and lowest observations.

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5
Q

What is a major drawback of the high-low method?

A

It is very sensitive to outliers, which can distort the cost function.

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6
Q

What does the linear regression analysis method aim to minimize?

A

The squared deviations (squared residuals) of observations from the regression line.

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7
Q

What is the purpose of the ordinary least squares (OLS) method in regression analysis?

A

To choose a line and slope that minimizes the squared deviations between observations and the regression line.

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8
Q

What does an R^2 value of 0.84 indicate in regression analysis?

A

84% of the changes in the dependent variable can be explained by changes in the independent variable.

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9
Q

In a scatter plot, how is the cost function represented using regression analysis?

A

By drawing a line that estimates the cost function based on the data points.

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10
Q

What happens if an accounting error places the lowest variable observation incorrectly in the high-low method?

A

It would significantly alter the cost function, leading to overestimated fixed costs and underestimated variable costs.

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11
Q

What is the visual representation of the cost function in the high-low method?

A

A line connecting the highest and lowest data points on a scatter plot.

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12
Q

What is the main goal of regression analysis in cost accounting?

A

To provide a more accurate representation of the cost function by minimizing deviations.

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13
Q

What is the relationship between the independent and dependent variables in cost analysis?

A

Changes in the cost driver (number of units produced) affect production costs.

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14
Q

What is the significance of the slope in the cost function derived from regression analysis?

A

It indicates the rate of change in production costs with respect to changes in the number of units produced.

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