Author: Anonymous

SCENARIO You’re volunteering at a nutrition pop-up for first-year college students. One of the main displays features a “Healthy Smoothie Bowl” with these ingredients: Banana (carbohydrates – sugars & fiber) Peanut butter (fats & proteins) Greek yogurt (proteins & some carbs) Honey drizzle (simple sugars – fructose & glucose) Chia seeds (healthy fats & some protein) You’re asked to help explain why these ingredients give us energy, help us grow, or keep us full—and how their structure matters just as much as what they’re made of! QUESTION/S CHOOSE 2 of the following questions to answer (5pts/question) and provide details (like what we discussed in class) to support your answers. Copy and paste the specific question into your answer box so it is obvious which questions you are choosing! 1) Greek yogurt and peanut butter both contain proteins, which are made of smaller parts called amino acids. Protein structure is like a beaded necklace that folds up. How might the shape of a folded protein affect what it does in the body? 2) Fats have long chains of carbon and hydrogen. How do you think this structure helps them provide more energy than sugars? 3) All these molecules—carbs, proteins, and fats—are made of carbon, hydrogen, and oxygen (and sometimes nitrogen).So why do they do such different things in our bodies? In other words, How does the structure of a molecule affect what it does? 4) Why do simple sugars like those in honey give us quick energy, but fiber from bananas takes longer to digest?

Consider the data Repair. Develop the estimated simple linear regression equation to predict the repair time (y) given the type of repair (x1). x1 = 0 if the type of repair is mechanical and 1 if the repair is electrical. Does the equation developed in part (a) provide a good fit?

The prices of Rawlston, Inc. stock (y) over a period of 12 days, the number of shares (in 100s) of company’s stocks sold (x1), and the volume of exchange (in millions) on the New York Stock Exchange (x2) are shown in the data set Stocks. Estimate an equation that can be used to predict the price of the stock given x1 and x2. Interpret the coefficient of x1 that you have found.

Monthly total production costs and the number of units produced at a local company over a period of 10 months are shown in the data set ProductionCost. Use a simple linear regression model to develop an estimated regression equation to best describes the relationship between X and Y.

Bryan Inc. manufactures special IU T-shirts. The factory can produce up to 8,000 T-shirts a month and is currently producing 6,000 a month.  The normal selling price for each T-shirt is $40 each.  The costs currently attributed to the T-shirts is as follows: Cost of materials $7 per T-shirt Cost of production labor $6 per T-shirt Allocated plant-wide overhead $8 per T-shirt Bryan Inc. received a one-time special-order request from a new customer asking to purchase 1,000 T-shirts at a special price of $15 each. Should Bryan Inc. accept this special order?

Q202

When comparing an income statement prepared using US GAAP rules versus a managerial contribution margin income statement……

How does a change in total fixed costs (perhaps due to a significant change in production levels) effect on the total contribution margin?  

Q154  

Which is riskier for a new company that expects sales to be very low for the first few years?