
Scattergraph Method
The scattergraph (or scatter graph) method is a visual technique used in accounting for separating the fixed and variable elements of a semi-variable expense (also called a mixed cost) in order to estimate and budget for future costs. If an analyst calculates that the fixed cost associated with a mixed cost is $1,000 per month and the variable cost component is $3.00 per unit, then it can be determined that an activity level of 500 units in an accounting period will equate to a total mixed cost of $2,500 (calculated as $1,000 fixed cost + ($3.00/unit x 500 units)). The scattergraph method is not an overly precise approach for determining cost levels since it does not include the impact of step costing points, where costs change dramatically at certain activity levels. Alternate methods of cost estimation include cost accounting's high-low method, a technique of attempting to separate out fixed and variable costs given a limited amount of data; account analysis, in cost accounting, a way for an accountant to analyze and measure the cost behavior of a firm; and least squares, a statistical method used to determine a line of best fit by minimizing the sum of squares created by a mathematical function. The scattergraph (or scatter graph) method is a visual technique used in accounting for separating the fixed and variable elements of a semi-variable expense (also called a mixed cost) in order to estimate and budget for future costs. Ideally, the result of a scattergraph analysis is a formula with the total amount of fixed cost and the variable cost per unit of activity.

What Is the Scattergraph Method?
The scattergraph (or scatter graph) method is a visual technique used in accounting for separating the fixed and variable elements of a semi-variable expense (also called a mixed cost) in order to estimate and budget for future costs. A semi-variable expense is more complicated to analyze since it is made up of both fixed and variable factors.
A scattergraph uses a horizontal x-axis that represents a firm's production activity and a vertical y-axis that represents its cost. Data are plotted as points on the graph, and a regression line that runs through the dots represents the best fit of the relationship between the variables.



Understanding the Scattergraph Method
Business managers use the scattergraph method when estimating costs to anticipate operating costs at different activity levels. This is known as a mixed or semi-variable cost. Also known as a semi-fixed cost, this refers to a cost composed of a mixture of both fixed and variable components. Costs are fixed for a set level of production or consumption, and become variable after this production level is exceeded. If no production occurs, a fixed cost is often still incurred.
The method derives its name from the overall image of the graph, which consists of many scattered dots. The method is simple, but it is also imprecise. Ideally, the result of a scattergraph analysis is a formula with the total amount of fixed cost and the variable cost per unit of activity.
If an analyst calculates that the fixed cost associated with a mixed cost is $1,000 per month and the variable cost component is $3.00 per unit, then it can be determined that an activity level of 500 units in an accounting period will equate to a total mixed cost of $2,500 (calculated as $1,000 fixed cost + ($3.00/unit x 500 units)).
Special Considerations
The scattergraph method is not an overly precise approach for determining cost levels since it does not include the impact of step costing points, where costs change dramatically at certain activity levels. The method is also not useful when there is little correlation between the costs incurred and the related activity level because projecting costs into the future is difficult. Actual costs incurred in future periods might vary from the scattergraph method's projections.
Alternate methods of cost estimation include cost accounting's high-low method, a technique of attempting to separate out fixed and variable costs given a limited amount of data; account analysis, in cost accounting, a way for an accountant to analyze and measure the cost behavior of a firm; and least squares, a statistical method used to determine a line of best fit by minimizing the sum of squares created by a mathematical function.
Related terms:
Accounting Period
An accounting period is an established range of time during which accounting functions are performed and analyzed including a calendar or fiscal year. read more
Contribution Margin , Formula, & Ratio
Contribution margin is a cost-accounting calculation that tells a company the profitability of an individual product, or the revenue that is left after covering fixed costs. read more
Cost-Volume-Profit (CVP) Analysis
Cost-volume-profit (CVP) analysis looks at the impact that varying levels of sales and product costs have on operating profit. read more
Fixed Cost
A fixed cost is a cost that does not change with an increase or decrease in the amount of goods or services produced or sold. read more
Full Costing
Full costing is a managerial accounting method that describes when all fixed and variable costs are used to compute the total cost per unit. read more
High-Low Method
In cost accounting, the high-low method is a way of attempting to separate out fixed and variable costs given a limited amount of data. read more
Least Squares Criterion
The least-squares criterion is a method of measuring the accuracy of a line in depicting the data that was used to generate it. That is, the formula determines the line of best fit. read more
Line Of Best Fit
The line of best fit is an output of regression analysis that represents the relationship between two or more variables in a data set. read more
Operating Cost
Operating costs are expenses associated with normal day-to-day business operations. read more
Regression
Regression is a statistical measurement that attempts to determine the strength of the relationship between one dependent variable (usually denoted by Y) and a series of other changing variables (known as independent variables). read more