Answered: PepsiCo, Inc. is an American…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Transcribed Image Text:PepsiCo, Inc. is an American multinational food, snack, and beverage corporation headquartered in Purchase, New York. PepsiCo has interests in the manufacturing, marketing, and distribution of grain-based snack foods, beverages, and other products. PepsiCo was formed in 1965 with the merger of the Pepsi-Cola Company and Frito-Lay, Inc. PepsiCo has since expanded from its namesake product Pepsi to a broader range of food and beverage brands, the largest of which included an acquisition of Tropicana Products in 1998 and the Quaker Oats Company in 2001, which added the Gatorade brand to its portfolio. As of January 26, 2012, 22 of PepsiCo's brands generated retail sales of more than $1 billion apiece, and the company's products were distributed across more than 200 countries, resulting in annual net revenues of $43.3 billion. Based on net revenue, PepsiCo is the second largest food and beverage business in the world. Your consulting firm has been hired to forecast the total revenues for PepsiCo, Inc. for each quarter of 2021. The company's past seasonal revenues are located below. Total Revenues ($millions) Quarter 2 $15,710 $16,090 $16,449 $15,945 Fiscal Year (FY) Quarter 1 $12,049 $12,562 $12,884 $13,881 Quarter 3 $16,240 $16,485 $17,188 $18,091 Quarter 4 $19,526 $19,524 $20,640 $22,455 2017 2018 2019 2020 Before continuing to the problems below, construct a time series plot (line chart) of PepsiCo revenue data. Use the data and this chart to answer the questions below. Because the data are categorized by quarter, the forecast may need to account for seasonal impacts. Use the multiple regression model defined below to forecast PepsiCo's revenues. (a) Develop an estimated regression equation [F = bo + biQ2 + b2Q3+ b3Q4] using the following dummy variables to only account for seasonal effects in the data: Q2 = 1 if quarter 2, 0 otherwise Q3 = 1 if quarter 3, 0 otherwise Q4 = 1 if quarter 4, 0 otherwise (b) Using a = 0.05, discuss the significance (R-square, F-test and t-tests) of the cquation in part (a). Analyzing the time series chart previously constructed, does the regression equation appear to be the most appropriate method of forecasting for this data? Explain. (c) Focu