Chapter 2 – Introduction to Spreadsheet Modeling
Exhibit 2-2
A small sporting goods company is considering investing $2000 in a project at the start of year 1 that will produce
volleyballs over the next five years. The company plans to produce and sell 200 volleyballs in the first year, and expects
that volume to grow by 10% each year thereafter. The unit selling price forecast the company has developed is $20 in year
1, $22 in year 2, $25 in year 3, $28 in year 4, and $31.50 in year 5. Variable costs are forecast to be $15 per unit produced,
and there will be a fixed overhead cost in each year of $500. (Unless otherwise indicated, assume that all cash flows
occur at the end of the year.)
26. Refer to Exhibit 2-2. Use the above information to develop a simple cash flow proforma sheet, and then apply Excel’s
NPV function to calculate the project value assuming a 10% discount rate. What is your answer?
The project NPV is $5,468.24 (allowing for a fraction of a volleyball)
27. Refer to Exhibit 2-2. Suppose the company thinks it may be able to produce and sell more than currently planned.
What growth rate of production would produce an NPV of $10,000?
Using Excel’s Goal Seek function, the required growth rate would be 27.4% per year.
28. Refer to Exhibit 2-2. Suppose instead that the company thinks it can reduce its variable cost rate. What rate would
produce an NPV of $10,000?
Using Excel’s Goal Seek function, the required variable cost rate would be $10.02 per unit of production.
29. [Part 1] Refer to Exhibit 2-2. Use the graphing function in Excel to construct a scatterplot of forecasted price versus
time, and fit a linear trendline to the data. What are the coefficients of the linear model, and what is the MAPE of a linear
model forecast, compared to the company’s forecast?
comparing against the company forecast results in a MAPE of 1.5%.
30. [Part 2] Refer to Exhibit 2-2. Use the same scatterplot constructed for the previous question, fit an exponential
trendline to the data. What are the coefficients of the exponential model, and what is the MAPE of an exponential model
forecast, compared to the company‘s forecast?
model and comparing against the company forecast results in a MAPE of 0.47%