As discussed in Chapters 10, 11, & 12, companies need to use different tools to make decisions
when analyzing business decisions. During these three chapters, you will analyze three main
concepts, regression analysis, time series analysis and forecasting. Students need to find a
understand the following chapters to answer the following questions:
Students will need to look up a public company on their own. A public company is a company
that sells stocks on the stock exchange; For example, Google, Nike, and Proctor and Gamble (try
an uncommon company). You will look at their quarterly records of revenue from the past five
years (20 quarters). You will need to use Excel or other data analytical tools.
1. The first component is to do a time series analysis of the company’s revenue. You will
provide trends, such as seasonality, cyclical fluctuations, and irregular variations. Then
discuss the “why” behind those trends. Explain in-depth.
2. Once you complete the time series analysis, create a forecast of their potential revenue.
Explain what methods you decided and why?
3. You should provide a written narrative, graphs, and figures.
One APA reference required
Comments from Customer
Discipline: data
The text chapter is not related and it’s not necessary to read the chapter to answer the question. All it needs is to answer the question and necessary data is uploaded. Graph is not optional and not necessary
