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Plot, graph, and analyze the results from your time series analysis of season ATM cash demand usage(see attached excel spreadsheet).

June 24, 2021
Christopher R. Teeple

Recall your work in forecasting completed in Unit 4 IP(see attached power point and instructors comments). You are a regional manager of the ABC World Bank, and each year the cost of maintaining ATMs depletes resources due to the additional cash demands during the Christmas season. In order to increase efficiency and improve decisions about reloading network machines, your corporate bank manager has asked you to predict the daily cash demand for the week after Thanksgiving for your region’s ATMs.
Using SAS Studio and SAS Forecast Studio, analyze the seasonal cash demands for a region’s ATMs using the Box-Jenkins ARMA and ARIMA models. Take into consideration expected behavior of nonstationary models, fitting, and seasonality.
For this assignment complete your analysis as follows:
Plot, graph, and analyze the results from your time series analysis of season ATM cash demand usage(see attached excel spreadsheet). Based on your findings from Unit 4, prepare an executive paper. You will need to include plots, graphs, examinations, results, and a “story board picture” of your time series analysis results. Include a explanation of the information provided.

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