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. AR(1) Model: Coefficients Standard Error t Stat P-value Intercept 0.1802077 0.39797154 0.452815546 0.655325119 XLag1 1.011222533 0.049685158 20.35260757 2.64373E-15 AR(2) Model: Coefficients Standard Error t Stat P-value Intercept 0.30047473 0.4407641 0.681713257 0.503646149 X Lag 1 1.17322186 0.234737881 4.998008229 7.98541E-05 X Lag 2 -0.183028189 0.250716669 -0.730020026 0.100283347 AR(3) Model: Coefficients Standard Error t Stat P-value Intercept 0.313043288 0.514437257 0.608515972 0.550890271 XLag1 1.173719587 0.246490594 4.761721601 0.000180926 XLag2 -0.069378567 0.373086508 -0.185958391 0.854678245 XLag3 -0.122123515 0.282031297 -0.433014053 0.670448392 Referring to Table 16-4 and using a 5% level of significance, what is the appropriate AR model for Coca-Cola's real operating revenue? Question 5 options: AR(1) AR(2) AR(3) Any of the above.