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21/08/2020 Client: bingyanj Deadline: 7 Days

Time series are particularly useful to track variables such as revenues, costs, and profits over time. Time series models help evaluate performance and make predictions. Consider the following and respond in a minimum of 175 words:



  • Time series decomposition seeks to separate the time series (Y) into 4 components: trend (T), cycle (C), seasonal (S), and irregular (I). What is the difference between these components?

  • The model can be additive or multiplicative. When we do use an additive model? When do we use a multiplicative model?

  • The following list gives the gross federal debt(in millions of dollars) for the U.S. every 5 years from 1945 to 2000:


Year    Gross Federal Debt ($millions)


1945    260,123


1950    256,853


1955    274,366


1960    290,525


1965    322,318


1970    380,921


1975    541,925


1980    909,050


1985    1,817,521


1990    3,206,564


1995    4,921,005


2000    5,686,338



  • Construct a scatter plot with this data. Do you observe a trend? If so, what type of trend do you observe?

  • Use Excel to fit a linear trend and an exponential trend to the data. Display the models and their respective r^2.

  • Interpret both models. Which model seems to be more appropriate? Why?

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