1. The file P12_60.xlsx lists annual revenues (in millions of dollars) for Nike. Create a time series graph of these data. Then superimpose a trend line with Excel’s Trend-line option. Which of the possible Trend line options seems to provide the best fit? Using this option, what are your forecasts for the next two years? 2. The file P12_61.xlsx contains annual data on carbon dioxide (CO2) levels since 1959, measured at the Mauna Loa Observatory in Hawaii. Fit linear, exponential, and quadratic (polynomial of order 2) trends to these data. In terms of MAD, which fit is best? Using the best fit, forecast CO2 levels for the next 10 years Other Reference: Textbook: Chapter 12 Albright, C. S., & Winston, W. L. (2019). Business Analytics: Data Analysis & Decision Making (MindTap Course List) (7th ed.). Cengage Learning.
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