You should havea brief introduction to the Forecasting problem for the firm that was given to you andwhat you were hoping to accomplish with your forecast. Just use the data that I haveprovided. Do...

You should havea brief introduction to the Forecasting problem for the firm that was given to you andwhat you were hoping to accomplish with your forecast. Just use the data that I haveprovided. Do not ADD additional data. Obviously you can add dummy variables asthat you think you need as well as a trend variable.The next section should summarize your results (DO NOT INCLUDE ALL OFTHE SPSS READOUTS!). Please explain why you utilized a model or why you did not.Indicate the strengths and weaknesses of every model.Finally, determine the best forecasting method. In determining the “best” method,please withhold the last four quarters of the data you have been given (just like the casestudy throughout the semester). PLEASE INDICATE WHAT IS THE BEST MODELAND WHY! Finally, comment on what your forecasts indicate about the future of thisfirm.


Nike You have been asked by Phil Knight the CEO of Nike to develop a forecasting model for Quarterly net US sales. You will be able utilize data from the first quarter of 2010 through the fourth quarter of 2019. You have been asked to forecast sales for 2019. Nike is a leading producer in the athletic shoe industry and is also involved in the production of other sporting equipment. Nike arrived at this position of market leadership through its policy of paying for the endorsement of such star athletes as Michael Jordon, Tiger Woods ( 2nd quarter, 2012) and Lebron James (2nd quarter 2015).Nike also acquired Converse Sneakers in the 3rd quarter of 2013. The factors for a regression model to determine net sales are CPI, US clothing sales, US Nominal GDP. Table of Results: Table of Results Models Assumptions MAD MSE Strengths Weaknesses Multiple Regression Variables? Decomposition Indices Exponential Smoothing Holt, Winter? ARIMA (p,d.q) (P,D,Q) Combination MR+ ARIMA MR+ Expo