The data in the following table (stored in McDonalds) represent the gross revenues (in billions of current dollars) of McDonald's Corporation from 1975 through 2009:

a. Plot the data.
b. Compute the linear trend forecasting equation.
c. Compute the quadratic trend forecasting equation.
d. Compute the exponential trend forecasting equation.
e. Determine the best-fitting autoregressive model, using α = 0.05.
f. Perform a residual analysis for each of the models in (b) through (e).
g. Compute the standard error of the estimate (Syx) and the MAD for each corresponding model in (f).
h. On the basis of your results in (f) and (g), along with a consideration of the principle of parsimony, which model would you select for purposes of forecasting? Discuss.
i. Using the selected model in (h), forecast gross revenues for 2010.

11 32828689857 3445689 023 123 789 Y-12222222222 9 618714387 44 4. 5 6 6 6 7 7 8 9 0 1 2 r-789 024792581482 890123456 778888888 6