TABLE 16-4
Given below are EXCEL outputs for various estimated autoregressive models for Coca-Cola's real operating revenues (in billions of dollars) from 1975 to 1998. From the data, we also know that the real operating revenues for 1996, 1997, and 1998 are 11.7909, 11.7757 and 11.5537, respectively.

\text { AR (1) Model: }

\begin{array}{lcccc}\hline & \text { Coeficients } & \text { Standard Error } & t \text { Stat } & p \text {-value } \\\hline \text { Intercept } & 0.1802077 & 0.39797154 & 0.452815546 & 0.655325119 \\\text { XLag1 } & 1.011222533 & 0.049685158 & 20.35260757 & 2.64373 \mathrm{E}-15\end{array}

\text { AR (2)Model: }

\begin{array}{lcccc}\hline & \text { Coefficients } & \text { Standard Error } & t \text { Stat } & p \text {-value } \\\hline \text { Intercept } & 0.30047473 & 0.4407641 & 0.681713257 & 0.503646149 \\\text { XLag1 } & 1.17322186 & 0.234737881 & 4.998008229 & 7.98541 \mathrm{E}-05 \\\text { XLag2 } & 0.183028189 & 0.250716669 & -0.730020026 & 0.474283347\end{array}

\text { AR (3) Model: }

\begin{array}{lrccc}\hline & \text { Coeficients } & \text { Standard Error } & t \text { Stat } & p \text {-value } \\\hline \text { Interept } & 0.313043288 & 0.514437257 & 0.608515972 & 0.550890271 \\\text { XLag1 } & 1.173719587 & 0.246490594 & 4.761721601 & 0.000180926 \\\text { XLag2 } & -0.069378567 & 0.373086508 & -0.185958391 & 0.854678245 \\\text { XLag3 } & -0.122123515 & 0.282031297 & -0.433014053 & 0.670448392\end{array}

-Referring to Table 16-4, if one decides to use AR(3), what will the predicted real operating revenue for Coca-Cola be in 2001?
A) $11.84 billion
B) $12.47 billion
C) $11.68 billion
D) $11.59 billion

TABLE 16-7 the Number of Passengers Arriving at San Francisco on the on the Amtrak

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