A finished ACC-361 Topic 1 mixed cost estimation memo example, splitting one mixed cost into fixed and variable parts two ways and pricing the budget error of the rejected formula. Searches like "acc 361 topic 1 assignment example", "acc361 topic 1 sample" and "acc-361 topic 1 example" land here.
What a finished ACC-361 Topic 1 mixed cost estimation memo looks like
Addressed to the plant controller, the memo works from a year of monthly maintenance cost set beside machine hours, all figures illustrative. A scatter plot comes first, and it exposes one month inflated by a breakdown repair that had nothing to do with volume. The high-low method is computed from the two extreme months, which happen to include that outlier, and it yields a variable rate of $5.00 per hour on a fixed base of $6,000. Regression over all twelve months gives $4.20 per hour on $8,400. At the planned 4,000 hours the two formulas disagree by $800 a month, and the memo carries that gap into the quarter's budget. It closes by naming the maintenance supervisor as the person who would have been handed a variance the estimate itself created.
How an ACC-361 Topic 1 example is structured
The memo runs from the data to a recommendation the controller can act on. Its opening paragraph states the decision: which cost formula the coming budget will use, and what hangs on the choice. The data follow as a table and a scatter plot, with the relevant range marked so the reader sees which volumes the history actually covers. A third part computes the high-low estimate and shows why two points chosen by volume, not by how typical they are, let one abnormal month set the slope. Regression comes fourth, with the intercept and slope read as fixed and variable cost and the fit statistic reported in a sentence. The fifth part carries both formulas to planned volume and prices the difference for the quarter. The recommendation closes the memo, together with the planned volume at which neither formula should be trusted, since it lies outside the observed range.
The decision named before the data
The memo opens by saying the formula will set next quarter's maintenance budget, so every calculation afterward has a use the controller already knows about.
A scatter plot that finds the outlier
Plotting cost against machine hours before computing anything reveals the breakdown month, which a table of twelve figures hides and the high-low method then relies on.
Two formulas at one planned volume
Both estimates are applied to the same 4,000 planned hours, turning a disagreement about slope and intercept into a dollar figure a budget holder can read.
The rejected estimate priced
The $800 monthly gap, carried across the quarter, is what adopting the high-low formula would have cost in budget accuracy, and the memo states it in dollars.
Relevant range drawn on the chart
Volumes outside the months observed are flagged, because a fixed and variable split estimated from past activity says little about a level the plant never ran.
Where marks go in ACC-361 Topic 1
Marks slip away here when a formula is produced and never used for anything. A memo that reports a variable rate and a fixed amount, with no planned volume applied, has estimated a cost without informing a single budget line. High-low computed without looking at the data first will often rest on an abnormal month, and markers check whether the writer noticed. Regression output pasted in without the slope and intercept translated into cost language leaves the reader to do the interpretation. Recommending one method over the other on reputation alone, because regression sounds more sophisticated, misses the requirement to price what the rejected method would have cost. In many sections the rubric also asks for the relevant range, and a forecast made far outside the observed volumes quietly loses credit.
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ACC-361 Topic 1 questions, answered
Why not always use regression?
Because the choice should rest on the data rather than on sophistication. Regression uses every observation, which usually makes it more reliable, but it is still pulled off course by an abnormal month left in the data set. Where the extreme months happen to be representative, high-low can land close to the regression line. The memo recommends a method by showing what each would do to the budget, not by ranking techniques.
What is the relevant range?
The span of activity over which the estimated cost behavior can be expected to hold. Fixed costs stay fixed only within it, since running far above the observed volumes may require another shift or a second machine. An estimate built from months between 2,000 and 5,000 machine hours says nothing reliable about 7,000, and the example flags any planned volume outside the history.
Does this topic repeat the introductory cost behavior material?
It starts from the same idea, that some costs move with activity and some do not, and then asks how the split is estimated from real records and what an error in the estimate costs. The introductory course usually supplies the fixed and variable amounts. Here the writer has to derive them, defend the method and follow the consequence into a budget someone will be judged against.