Angola Superheros, Inc. is considering launching a production of a new superhero toy. The production and sales are expected to last 4 years. The project would require a new machine, with a cost of $1,000,000. The machine is expected to be sold for $300,000 at the end of the project. The company estimates that 40,000 toys would be sold annually, with a $15 contribution margin per unit (the difference between the selling price and the variable cost per unit). In addition, the company will have to pay fixed costs equal to $35,000 each year. The minimum attractive rate of return is 13%. (Note: You will need to provide a written answer for part a, and written comments discussing the results of your analysis in part b.) (Note: Do not include the selling price or the variable cost per unit in your analysis. Also, you will need to work with the total contribution to profits for all units, and fixed costs, instead of Revenues and Costs.)

b) Conduct the following sensitivity analysis, using the project’s ANNUAL WORTH. Create a table where you vary the following variables, one at a time: the contribution margin per unit, the annual number of units sold, the annual fixed cost, and the machine’s salvage value at the end of the project. Create a table, starting with a Percent Change in its first column, with the following values: -50%, -40%, -30%, -20%, -10%, 0, 10%, 20%, 30%, 40%, and 50%. Follow with each variable and an Annual Worth column, corresponding to each of the variables you vary. You can use the Excel example file posted under Week 7 as your guide (your tables and set up will be slightly different, but similar). Vary each of the variables ranging from -50% to 50%, one at a time, while keeping all of the other variables at their baseline values, recomputing the project’s annual worth each time. Insert a chart with the percent change on the horizontal axis, and the contribution margin, number of units, fixed cost, and salvage value on the vertical axis. Comment on the sensitivity of the project’s annual worth to changes in each of the four variables, and the implications for accepting or rejecting the project.