A food manufacturer is starting a new process which will take a raw piece of meat, send it down a conveyor to one of two breader$/$batter machines, and then all product will be regrouped together and sent through a single oven. Your job is to predict how much of the product in a $10,000$ piece batch will be below $160$ degrees. Assuming incoming product will weigh on averge $250$ grams with a standard deviation of $25$ grams and is normally distributed. Build a spreadsheet decision support system that allows the initial product weight average to be changed to see the effects on the amount of undercooked $($below $160)$ prodcut. Use what if analysis to suggest one solution to bring the product above $160$ degrees. The regression line to predict the product that has gone through machine $1$: end weight$=1\mathrm{.}247*$start weight$-33\mathrm{.}01$ with a standard error of $4\mathrm{.}415$