Two years of brewhouse overhead become a summer forecast in this cost behavior analysis for GB519 Unit 2, built from a scatter plot, a regression and one step cost. Searches like "gb 519 unit 2 assignment example", "gb519 unit 2 sample" and "gb519 unit 2 example" land here.
What a finished GB519 Unit 2 cost behavior analysis looks like
About two pages of commentary wrap around three exhibits. Exhibit one is the scatter plot: monthly brewhouse overhead on the vertical axis, barrels brewed on the horizontal, twenty-four points. Most sit along a rising line, but four summer months float above it, the months a second shift ran. Exhibit two is the regression output on the twenty single-shift months only: a fixed component near 9,400 dollars a month, a variable rate near 11.80 dollars per barrel, and an R-squared of 0.86, with the excluded months named. Exhibit three sets the regression beside a high-low estimate and shows why the two disagree: the high month is a two-shift month. The commentary forecasts overhead at next summer's planned 1,300 barrels with the 6,200-dollar shift step included, and states what that means for the production calendar.
How a GB519 Unit 2 example is structured
The plot comes first because the method choice depends on what it shows; fitting a line before looking would have blended two cost structures into one. Separating the step months is argued in a sentence, with the operational fact behind it, a second shift supervisor and extra cleaning cycles, rather than dropped quietly as outliers. The regression is reported in plain terms: what the intercept means for a month with little brewing, what the slope means per barrel, and how much of the month-to-month variation the model explains. High-low appears as a check, and its disagreement becomes a finding. The forecast paragraph states the relevant range, below about 1,100 barrels a month, and prices the step separately above it. It closes on the decision the numbers set up: whether to cross the step for three summer months or pre-brew stable styles in spring.
Twenty-four points before any formula
The scatter plot shows the pattern and the break in it, which decides the method before any regression runs.
Four summer months set apart
Second-shift months removed from the fit, with the operational reason, not a statistical one, given for each exclusion.
Intercept and slope, read aloud
About 9,400 dollars a month fixed and 11.80 per barrel variable, each translated into what it means for a slow month and a busy one.
Why high-low disagrees
The highest-volume month includes the shift step, so the two-point method mistakes a fixed jump for a steeper variable rate.
The summer forecast and its step
Overhead at 1,300 barrels with the 6,200-dollar shift cost added, and the choice it poses between crossing the step and brewing ahead.
Where marks go in GB519 Unit 2
What costs most here is a single regression fitted across every month, step months included, which produces a variable rate that is too steep and a forecast that misleads in both directions. Reporting the equation without interpreting it is the next deduction; GB519 graders expect the fixed and variable figures translated into what a manager would plan around. Excluding points without a stated reason reads as tidying the data, and many sections mark it down. High-low presented as the answer rather than a check ignores its sensitivity to unusual months. A forecast beyond the relevant range with no step or caveat loses points, and so does an R-squared quoted without saying what it measures. Unlabeled axes and a missing data table draw the smaller deductions.
Get a GB519 Unit 2 example written to your instructions
A data set drives this one: the Unit 2 file or whatever case the section issued, plus the rubric and whichever method the instructions require, regression, high-low or both. The plot, the fit read in a manager's terms and a forecast bounded by its relevant range come back together within 24-48h; the first custom sample costs nothing.
GB519 Unit 2 questions, answered
Does GB519 require regression, or is high-low enough?
It varies by section. Some problems specify high-low to test the idea of separating fixed from variable cost; others expect Excel regression and an interpretation of its output. When the instructions allow either, a regression with high-low as a check tends to score higher at the graduate level, because it uses every data point and shows awareness of the simpler method's weakness.
What is a relevant range and why does it matter to a manager?
It is the span of activity over which the estimated cost behavior holds. Inside it, fixed cost stays flat and the variable rate stays steady; outside it, a new shift, a second machine or a lease step changes the structure. A forecast that ignores the range can understate cost exactly when volume is highest, which is when the manager relies on it most.
Is it acceptable to remove data points from the regression?
Yes, when there is an operational reason and it is stated. Months with a second shift, a plant shutdown or a one-time repair reflect a different cost structure, and fitting them with ordinary months distorts both. What graders mark down is removal without explanation. The sample names each excluded month, gives the reason, and shows the step separately.