The task is to predict the number of cyclists on the Galloping Goose trail from Wednesday Nov 20th to
Tuesday Nov 26th (inclusive). 
1. Write a short report describing your model and resulting forecasts.
A good report would:
i. Have a clear structure, such as:
a. Introduction: introduce the forecasting problem.
b. Data: describe the dataset, any additional variables you may be using, any apparent
patterns, trends etc. including any relevant references.
c. Methods: describe your forecasting model, ideally including an equation that shows
your model. Carefully specify what variables are included and why you include them.
d. Results: if applicable show your in-sample estimated model as a table
e. Conclusion: summarise your results, discuss how your forecasting model could be
improved.

If you present regression results these should either be in the form of an equation
(as we have seen in lecture slides) or as a table, and include coefficient estimates,
standard errors, and the number of observations.
Be clearly referenced. Make sure to include references to any relevant datasets or
literature.
Not exceed 2 pages in length (excluding references).