This assignment uses the data file Telco Extra CSUGlobal.xls (linked under Module 8: Portfolio Project on the modules page) This data file concerns a telecommunications company’s efforts to reduce churn in its customer base. Each case corresponds to a separate customer and records various demographic and service usage information. The data file contains the data on about half of the customers of the company, selected at random. In order to maintain the privacy of the customers, the identifying information (specific address, Social Security number) was stripped out.
The income data was purchased from an outside vendor. The telecommunications company would like to get a better understanding of customers who churn, as well as predict the income of a customer so that the company need not spend money purchasing the income data from an outside vendor.
Examine the 34 variables in the Telco data file in terms of their labels and values. Develop a research report to include the following components. Use SAS to produce the outputs and graphs.
Summarize your results in both analyses. Also, state any surprises or unexpected findings. Do statistical results support your hypotheses, strength, and direction?
Copy and paste the SAS results and graphs in a Word document in addition to your answers. Ensure everything is clearly labeled. The report must be 10-12 pages long, including a title page and reference page (the report itself should be eight to ten pages). Cite two to three academic sources other than the textbook, course materials, or other information provided as part of the course materials. Follow APA format, according to CSU Global Writing Center (Links to an external site.).
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